From 59df39270623d61235da48d55a60248f338481d3 Mon Sep 17 00:00:00 2001 From: Ashok Ramakrishnan Date: Sat, 11 Nov 2023 16:05:34 -0500 Subject: [PATCH 1/4] Edits to support new tensorflow library. no need for the gpu specific library in newer versions --- 0.npy | Bin 0 -> 13424 bytes Action Detection Refined.ipynb | 794 ++++++++++++++++++++++++++++++--- 2 files changed, 734 insertions(+), 60 deletions(-) create mode 100644 0.npy diff --git a/0.npy b/0.npy new file mode 100644 index 0000000000000000000000000000000000000000..078ec78b7d7a62cced2e23ac3e32896447918854 GIT binary patch literal 13424 zcmeI2_hZl3zsHZgiqtH(>X=cpv1;d3QKQu=H5%gBY9x}_2@VnwJ3_>YBSwwb5#K0s z%u;&*BS5kCs7@L`QfJ?IoN0x?Ad=n zP`^OWCfu{xz($@mx#vLtz>$G{{CfKb_8;JQn?A#W24wM|!F@&y$hxoQ)v#gRnqSuB z6Zrr3UqQy08GqV(XI**Tb60Rp7-5sM?#0WGkKDa^`vL8$=$cFJUgrBb)wP=pYL|V! zzu~y(8iRI`*%9qLGyC}>F=*HQXQG{TZG(39B>VX$e_Y4&|H(kRsrTlZ)3*<@pWm_I z8rnta%kIkVKSjGt&u;%X{~yOySVy$WO0UqaY|d#I@`bZMK8L0Y0_`w8h83ca@IW$dV~CH->MHCH_MOSbyvMV#}(Hu zm5j>UuC*>mhb@m^Rs{9dDCFcE7#5jRlAGlhkZnUtlaba zj*CaFFSx6ne&mU3H)xaZZg>o;-l<&XSZqo2EbRj|MgcjaA2t#eoQd z0$nqg_O;U*))cV4kLxZTK~I5|1aah2y&a8qM+DxS~Z zE6Qne}Q9O@(Y!q&%eJ#>(!IH zs0UjuJkr_AGMAAD*<>B@f%hjmZu*{ry*}Ivbt-+|M>wvU(z<5`jY2+ofwHq57d{(c zuQFDj^>)u^z8>wkK0tXek3*0LyRr8I=%{iOZ|;NO@?bjr(FKZ=|4BE9H<=85cDpn< zKky00U6ooe)9IN1kdD0A6`a*Du;(i{>32+^IvK|2!M^0@;HnO-KkVpCvNyS?-`rgh z2W#jt!P&DDwZZkRQWzJtB}qHZtKNZ~9LvGQ(%Xxn-|Qu=hsz#g-s*^r89q?}bpu+2UT{rgJ}Vb$VBr<96FpjF*}C1mmSPq)&33 z`zKNSkIKScC*&Ok{kB_3|C}Gjk=6SLd9%+Nl0Umb!0q+f(3jn-!(PmvLG~9r%tF7L zkD_0(;~2QUHVgG&zx|T@$(%-hUKugg*=tq=`LVqzuQH|bWcYKN{Ff((!GBX~$vDUP zh$mF9C2B)Q_|}T_&f@0sFyz-XEJ|^0{M6Uk%LaqtzdAPz^=}`3F&BK{4eIw^If|o8 z&P9$ZpWER2{Y7wjE+WctF(it3u8H8bc&}*3x#Uz7%0Sl)n}qd2UuZ|;vY->V{Cy8}^rLD^pcC*7xIXqPI6v(b)Y2I18VII zl@iv|^&<+>d|^Q|(Lay)0sh+>YY-RrIt9*B z{Nbnk!=K{KD1bObT1mtukIn>Fg_@v$6ZaeO#Z|y{%~6z3&osm(ZngxsGslCgHM3BM z_COtQwyZPh?@Fa{@4kifXP!YEcKX{`7nca5ao11Fz~1(~G{&vT-dyp(RrYNd3H>LQ>_*Xg%(o9f{p)4_ zf~$eQ!XNWR39_Gm6I_h^FN)VQ67_HEj|Jy-yutPUSF}$J3?lu1x|98`y6{sT9t^J6 z%>?J6ElK|;A8^(5FXAVoDXs%0!R?AtG>#*-z)zJhl;-&jS|9AzrE9&j;+0|Lu`Zd< zT3{S?Vy74vuN>2bbV~gIeHmW|`wM%~k^EWiOZ|4ciG76seU$vkoJ;kvx)Ih5uDX-` zS5&9k=SRvz>Rz&cJ{a5s!E^4RP?FDp1~9c|k{( z*h=-jV;pqYg2&M14OX3VajN_;N4dB}AzH^wwLdVAbPGCf$jgHCYrVMO>`h!6>RCMZ zB>m^KPRJ`O;g77>hWw9cOY6-uQJY&~9L0Y^;V0`hobt9JVTIEX<5F?YYOkYyZ z*Te3Bi{t6wtjuQQN9DPLe5#x~z(vQ7SO;{mxl}iMIuZA-Me$C}OL>dVr1M7D3!E!h z!g_GMn9e^kT~hs*FG1tmO~7B#zE?lzr&*@K)!yRB1D`w^I^r>%!+9p1_vG=0E1kV= z@)h*O#)haXlhPIIiSTQQd*)r3#^s-DtGu)9<@HA7&)@UN&ko&i-m`6J+yUO>mDO-?AKMK zQ{`?CXD{DxC!N>fc+N(bLR{?2E_hxY97yet=8bVWGXFc|NA5fXZhF3nbX;sJNO}C& z16O;p#{$Rgm;l&|sEgEpvy5quv#af3r{^SIboYGd9B>hO2XBBxgOR`adDvLC4^~+C7=hrFB!F&pf_Hp4su#0j?i8Xeg~~_0o|Cd7uI6 zho8Fwt{1)pSMlekIDMI?F5(ok;;5f{{h^T4u-+)aN*8_SlFvmK>e_o>*xM_PI_N-AU ztYfPCGt?X3Q6Bz?vu`jic0dTm)%@BS_BQ0D{AhS%s{$m*ECyf(epNZ;z{UsXIt`|r2Elm3Pt;MQX>)>RXv z!NtH;C_|4qN_`-t|?(SAGVyw{Z8Q*4*k z;HFt3?T-cO(DPTlz}1jZIM48_8tACIq{4iFfPoG&OhpO9rQ0=O6;4)=10FGI0f}0 zMjpj?DZ8KE6UE|s(6M_v(R_K`0R8F-w2z6*MVJ>ljrJokL}J{P?{cjFx(=<&Jnb^A zd+lDLo=xd@q%(3O?K{!!sm}BHQCx?A#XRHHJJNZ+@JDcVlD?Oy2{|#pOgf`_J--9( zwoPT!ExWxO_ombVTt!GU{1mATDE?P;{?Xm$(Yo3{72GW8je29JZXrKB(a?D99STWE}-?ckwKlPYKelDtsIJBvV z^+*2h4K6DlK^|0(IMl7|v=IF={{ZqQZ35>j<>nw7W4y1Ej7uEKn@fn%X(?tMDn+3Shrpvy9w zgY!0CIB%%b-tf=fp!1Tx{s{An)rzHf-|vDRKi(hTsf;hZ7l;c_!S#m6i(S9GE5*Z? z(t9(1KRgb+T4CsjH!CkXKV-^0oLl%_~NBMk#@l_R1kxs7jR7ZEh!Ff@tV|BSF z?9Fd)=EKkL-oxJX^8lAKEbL9fbJF>{A-KNM1a)G17YFA-DGo9akB?;JQO@ZUyHVjlk`M{-`%~`#S0CD&Xo^a5VHL6oJ0ny@UMOwQhyuqG%`5 ze_ROmW@fpWu=hPgItRw0{@IjY=7E=-3C;_kTzFF)zuT>YE+e+w{r8bWP4_^TtrFLU{)FvP0xEfpx_F_yc_-}fR)sEZP;ozqA zMsR+y(hkQ(ozCE_F8!{_QpE3$v$e;eZzJ-e4p{)3@veOws{_{h$PV#AiLmX#u1IT{OUfA=`4`LsYttWu1 z*mK}ES4Y_Miig3)0s6jVUoV*A{8UdQ*}vWl{{`!|(&@{~gTdv_+~Dd)1I$NJtP|y- zs3-ET&yS3CIx?>>=>*Vwt7?0ApyQ_Za&TTE5IXv1^fae$*DL^Mg^H7Ykpq|)B4=yp zn{L;!uCRt*$2c8*rZeeRuSx6To3SgLj(+zB++JRr;_TR;Rl?lWKBanKo=3p#f>%+F z^U>{~FW<~K@9xbnE#uu)?yO5XXIddHb9mk8U4OSWyB9Y0%wH>1UoKXw4}JikBC=!6u`XD{!y@(%l1>hd-qLr{i?p}!1=<% zuouU6^>jL_M*_I&AY$WZp-;^boO=yjXQffi1J)vHuh7#drY=| zDDe*MXue#X2hMw}Ctjoah~z9CJ@Geiv->0RAkLkFy{JWbum@k0{hfiz^(#wd&%3V+ zV?UHNy!(NlpnQs?o3J9e1{vpuHYrA92q z3Y_0gzHr-zxCwEO>(H0EzX7*f>GvJo_%!mPPG{Hc!3@gJuLFBKeUmnY{OOnr zI_CSDc#oE?DgSnTEz-YMp57xWE`hx{)(>3#*+|0Ae#zkM6OH*IFJ-p(cK)|*ih3~r zF2Q^kC5G>IT+RriezW~CQeE$&FLuoQ~P_DY!Ux5c5UNT)l|=&rke=2j+zgtOtD+Pw%&U z;&tTH=I9>a?9~>Em(T1Adp@Q(&LN`65Aaj3px;N#+%{B)1*jgxtDR@j->P!M-BtHy z=+}&Shkek*&sqxoKwofMZ7KFy5kG7V_>6|o=PPf(UdDJ~-xuv0lK;i;V*QkTpK51s z69whd?>2P!*_S^jyF7eOFeMH^<6a9*xd}$nOFUC2hK@d32=&Gf z?Ol5Cb4D6YQa;g6j10QI1EM1Zs3 z=c*&aGyi!(hpInJL4 zgUh~iDGz_8?r>aGq0R| z+{@N=5tkkGK04X?Q$KsY=a__k&G^A1oQ|$Mg#78ehvJo`>HLuYI&?(resKM^?IQSD zbUXDo@hb6>3!bjeiIkDicSC&_d1oPG8J=N$8J z8}8+Xyu?j!%r7?JGTr+mSl6GbRuXwOo2P>7#VO=}zMPS+-FWo?XN9xly2>$*T+zOx zM{FYhe^%h;(E#!@bQSWy1MmB?ES*Et;JkFMYtfGOg@CuP7X!N? z&-RBJE8%DPGvNBnR?5Fu39LUdg1-CnyiAA_X+r^VtPj_z_EqI_um#y2^O^UFct zvePVzD=;F^aWf=)Utqb&pHs;+kLuF=5`+3uyuAux9b%zEkq{C9vM|N%UUN zI@9-QbG!?kA4Yn?-sU`lakTq=mpeb%3wj^XC&ywO<&B%zM|el_hi{|ruDW>IbZ2j` z(R|aMb1)zIvDh)rf2qO|mpD6>@|-tuA>wLA?-4qJ-n(u6HCShO#$?#r1bQzv0i~BY zdwsGc>3m#=b<$L9jrwFF8eFaG04{t^O@Tjo=v->jy})hXQy4E%A^W>W)$H$+4`(1h zY+xPaK{px?dwuw8tdr_YJ#ck2nCiCL3Y=SX>Nv9ZEQ5IMkYiX+J$dQaD_b`WpY1>97yk=T*PKu-7Mw zO>o2ckTx3w5(Bv#`7Sj8;tVG{k zZPnwEj`N@CJ;)}`g*_kj^K!>oUD_8|$^&q-z4kKLhYlzG#CX!LcWE*BzEQ-z%VJ)r z^tqEAH`S^Ir#rZ_0RfZ1RxS7V~KoZ86%_>g%NB;q5 zuQmjGXX)$FCBUVi^E?}$vyI~_tswFvk5z%aF7Ao?w;|=hbbXFU~p6D-4TqT>C^*Tpm-8!~XBEILF0j z;o!F3^Fxk{$RPMH`p+eu-Xr!ouJY9*|KAow-gNc#(ANXXQvLk-;eoR=)muZ~EPA~b z`g@B}p4&ZxJ{y@H5AItTT=iNEeZFxS`M<{Nq0^Bwg3h}uYyW&D>>sWG*H3~@JFahr uZE&2&ya%`QmjC6r+EsG1<8pZG40mrl+aGaP-Le|#XZ`>G|NS4!z<&b(%Lb4D literal 0 HcmV?d00001 diff --git a/Action Detection Refined.ipynb b/Action Detection Refined.ipynb index 4c196e11c..e11afe1c2 100644 --- a/Action Detection Refined.ipynb +++ b/Action Detection Refined.ipynb @@ -9,16 +9,412 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Defaulting to user installation because normal site-packages is not writeable\n", + "Collecting tensorflow==2.12.0\n", + " Using cached tensorflow-2.12.0-cp311-cp311-win_amd64.whl (1.9 kB)\n", + "Requirement already satisfied: opencv-python in c:\\programdata\\anaconda3\\lib\\site-packages (4.8.1.78)\n", + "Requirement already satisfied: mediapipe in c:\\programdata\\anaconda3\\lib\\site-packages (0.10.7)\n", + "Collecting sklearn\n", + " Downloading sklearn-0.0.post11.tar.gz (3.6 kB)\n", + " Preparing metadata (setup.py): started\n", + " Preparing metadata (setup.py): finished with status 'done'\n", + "Requirement already satisfied: matplotlib in c:\\programdata\\anaconda3\\lib\\site-packages (3.7.2)\n", + "Collecting tensorflow-intel==2.12.0 (from tensorflow==2.12.0)\n", + " Downloading tensorflow_intel-2.12.0-cp311-cp311-win_amd64.whl (272.9 MB)\n", + " ---------------------------------------- 0.0/272.9 MB ? eta -:--:--\n", + " ---------------------------------------- 0.0/272.9 MB ? eta -:--:--\n", + " ---------------------------------------- 0.1/272.9 MB 1.1 MB/s eta 0:04:20\n", + " ---------------------------------------- 0.7/272.9 MB 5.2 MB/s eta 0:00:52\n", + " --------------------------------------- 2.7/272.9 MB 15.4 MB/s eta 0:00:18\n", + " -------------------------------------- 4.3/272.9 MB 19.5 MB/s eta 0:00:14\n", + " -------------------------------------- 5.2/272.9 MB 22.3 MB/s eta 0:00:13\n", + " -------------------------------------- 5.2/272.9 MB 22.3 MB/s eta 0:00:13\n", + " - ------------------------------------- 7.3/272.9 MB 20.3 MB/s eta 0:00:14\n", + " - ------------------------------------- 8.4/272.9 MB 21.4 MB/s eta 0:00:13\n", + " - ------------------------------------- 9.8/272.9 MB 21.5 MB/s eta 0:00:13\n", + " - ------------------------------------ 11.5/272.9 MB 29.7 MB/s eta 0:00:09\n", + " - ------------------------------------ 11.6/272.9 MB 25.2 MB/s eta 0:00:11\n", + " - ------------------------------------ 13.6/272.9 MB 25.2 MB/s eta 0:00:11\n", + " -- ----------------------------------- 15.1/272.9 MB 25.2 MB/s eta 0:00:11\n", + " -- ----------------------------------- 16.8/272.9 MB 29.7 MB/s eta 0:00:09\n", + " -- ----------------------------------- 17.8/272.9 MB 32.8 MB/s eta 0:00:08\n", + " -- ----------------------------------- 17.9/272.9 MB 26.2 MB/s eta 0:00:10\n", + " -- ----------------------------------- 18.9/272.9 MB 27.3 MB/s eta 0:00:10\n", + " -- ----------------------------------- 18.9/272.9 MB 27.3 MB/s eta 0:00:10\n", + " -- ----------------------------------- 19.0/272.9 MB 21.8 MB/s eta 0:00:12\n", + " -- ----------------------------------- 20.7/272.9 MB 20.5 MB/s eta 0:00:13\n", + " --- ---------------------------------- 24.1/272.9 MB 24.2 MB/s eta 0:00:11\n", + " --- ---------------------------------- 26.2/272.9 MB 27.3 MB/s eta 0:00:10\n", + " --- ---------------------------------- 27.3/272.9 MB 26.2 MB/s eta 0:00:10\n", + " ---- --------------------------------- 29.4/272.9 MB 43.7 MB/s eta 0:00:06\n", + " ---- --------------------------------- 30.9/272.9 MB 46.7 MB/s eta 0:00:06\n", + " ---- --------------------------------- 32.5/272.9 MB 38.5 MB/s eta 0:00:07\n", + " ---- --------------------------------- 33.9/272.9 MB 36.4 MB/s eta 0:00:07\n", + " ---- --------------------------------- 34.6/272.9 MB 36.4 MB/s eta 0:00:07\n", + " ---- --------------------------------- 35.6/272.9 MB 32.7 MB/s eta 0:00:08\n", + " ----- -------------------------------- 36.7/272.9 MB 28.5 MB/s eta 0:00:09\n", + " ----- -------------------------------- 38.0/272.9 MB 28.5 MB/s eta 0:00:09\n", + " ----- -------------------------------- 39.8/272.9 MB 28.4 MB/s eta 0:00:09\n", + " ----- -------------------------------- 41.9/272.9 MB 29.7 MB/s eta 0:00:08\n", + " ------ ------------------------------- 43.2/272.9 MB 29.7 MB/s eta 0:00:08\n", + " ------ ------------------------------- 45.1/272.9 MB 32.8 MB/s eta 0:00:07\n", + " ------ ------------------------------- 46.1/272.9 MB 34.4 MB/s eta 0:00:07\n", + " ------ ------------------------------- 47.8/272.9 MB 34.4 MB/s eta 0:00:07\n", + " ------ ------------------------------- 49.3/272.9 MB 34.4 MB/s eta 0:00:07\n", + " ------- ------------------------------ 50.3/272.9 MB 34.4 MB/s eta 0:00:07\n", + " ------- ------------------------------ 52.4/272.9 MB 32.7 MB/s eta 0:00:07\n", + " ------- ------------------------------ 53.5/272.9 MB 31.2 MB/s eta 0:00:08\n", + " ------- ------------------------------ 54.5/272.9 MB 31.2 MB/s eta 0:00:08\n", + " ------- ------------------------------ 54.5/272.9 MB 31.2 MB/s eta 0:00:08\n", + " ------- ------------------------------ 54.5/272.9 MB 31.2 MB/s eta 0:00:08\n", + " ------- ------------------------------ 55.1/272.9 MB 21.8 MB/s eta 0:00:10\n", + " ------- ------------------------------ 56.6/272.9 MB 23.4 MB/s eta 0:00:10\n", + " -------- ----------------------------- 58.2/272.9 MB 22.6 MB/s eta 0:00:10\n", + " -------- ----------------------------- 59.8/272.9 MB 22.6 MB/s eta 0:00:10\n", + " -------- ----------------------------- 61.9/272.9 MB 24.2 MB/s eta 0:00:09\n", + " -------- ----------------------------- 62.9/272.9 MB 23.4 MB/s eta 0:00:09\n", + " -------- ----------------------------- 64.0/272.9 MB 22.6 MB/s eta 0:00:10\n", + " --------- ---------------------------- 66.1/272.9 MB 36.3 MB/s eta 0:00:06\n", + " --------- ---------------------------- 66.1/272.9 MB 36.3 MB/s eta 0:00:06\n", + " --------- ---------------------------- 68.2/272.9 MB 31.2 MB/s eta 0:00:07\n", + " --------- ---------------------------- 69.5/272.9 MB 29.7 MB/s eta 0:00:07\n", + " --------- ---------------------------- 71.3/272.9 MB 31.2 MB/s eta 0:00:07\n", + " ---------- --------------------------- 73.4/272.9 MB 32.7 MB/s eta 0:00:07\n", + " ---------- --------------------------- 75.3/272.9 MB 32.7 MB/s eta 0:00:07\n", + " ---------- --------------------------- 77.0/272.9 MB 38.6 MB/s eta 0:00:06\n", + " ---------- --------------------------- 78.5/272.9 MB 38.6 MB/s eta 0:00:06\n", + " ---------- --------------------------- 78.6/272.9 MB 38.6 MB/s eta 0:00:06\n", + " ----------- -------------------------- 80.5/272.9 MB 34.6 MB/s eta 0:00:06\n", + " ----------- -------------------------- 82.3/272.9 MB 32.7 MB/s eta 0:00:06\n", + " ----------- -------------------------- 83.9/272.9 MB 34.4 MB/s eta 0:00:06\n", + " ----------- -------------------------- 84.9/272.9 MB 31.2 MB/s eta 0:00:07\n", + " ----------- -------------------------- 86.1/272.9 MB 28.4 MB/s eta 0:00:07\n", + " ------------ ------------------------- 88.1/272.9 MB 31.2 MB/s eta 0:00:06\n", + " ------------ ------------------------- 89.5/272.9 MB 32.8 MB/s eta 0:00:06\n", + " ------------ ------------------------- 91.2/272.9 MB 34.4 MB/s eta 0:00:06\n", + " ------------ ------------------------- 93.0/272.9 MB 31.2 MB/s eta 0:00:06\n", + " ------------ ------------------------- 93.3/272.9 MB 32.8 MB/s eta 0:00:06\n", + " ------------- ------------------------ 95.4/272.9 MB 34.4 MB/s eta 0:00:06\n", + " ------------- ------------------------ 96.8/272.9 MB 32.8 MB/s eta 0:00:06\n", + " ------------- ------------------------ 98.6/272.9 MB 34.4 MB/s eta 0:00:06\n", + " ------------- ------------------------ 99.6/272.9 MB 31.2 MB/s eta 0:00:06\n", + " ------------- ----------------------- 101.5/272.9 MB 32.7 MB/s eta 0:00:06\n", + " ------------- ----------------------- 103.0/272.9 MB 31.1 MB/s eta 0:00:06\n", + " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", + " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", + " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", + " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", + " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", + " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", + " -------------- ---------------------- 105.9/272.9 MB 19.8 MB/s eta 0:00:09\n", + " -------------- ---------------------- 106.7/272.9 MB 18.2 MB/s eta 0:00:10\n", + " -------------- ---------------------- 108.0/272.9 MB 18.2 MB/s eta 0:00:10\n", + " -------------- ---------------------- 110.1/272.9 MB 18.7 MB/s eta 0:00:09\n", + " -------------- ---------------------- 110.4/272.9 MB 17.2 MB/s eta 0:00:10\n", + " --------------- --------------------- 112.4/272.9 MB 17.2 MB/s eta 0:00:10\n", + " --------------- --------------------- 114.3/272.9 MB 17.7 MB/s eta 0:00:09\n", + " --------------- --------------------- 115.9/272.9 MB 29.7 MB/s eta 0:00:06\n", + " --------------- --------------------- 117.5/272.9 MB 32.7 MB/s eta 0:00:05\n", + " ---------------- -------------------- 119.5/272.9 MB 34.4 MB/s eta 0:00:05\n", + " ---------------- -------------------- 120.6/272.9 MB 38.5 MB/s eta 0:00:04\n", + " ---------------- -------------------- 121.6/272.9 MB 36.4 MB/s eta 0:00:05\n", + " ---------------- -------------------- 123.0/272.9 MB 31.2 MB/s eta 0:00:05\n", + " ---------------- -------------------- 124.8/272.9 MB 34.6 MB/s eta 0:00:05\n", + " ---------------- -------------------- 124.9/272.9 MB 28.5 MB/s eta 0:00:06\n", + " ----------------- ------------------- 125.9/272.9 MB 28.5 MB/s eta 0:00:06\n", + " ----------------- ------------------- 126.3/272.9 MB 24.2 MB/s eta 0:00:07\n", + " ----------------- ------------------- 128.0/272.9 MB 24.2 MB/s eta 0:00:06\n", + " ----------------- ------------------- 129.8/272.9 MB 24.3 MB/s eta 0:00:06\n", + " ----------------- ------------------- 131.1/272.9 MB 25.1 MB/s eta 0:00:06\n", + " ------------------ ------------------ 132.9/272.9 MB 26.2 MB/s eta 0:00:06\n", + " ------------------ ------------------ 134.2/272.9 MB 28.4 MB/s eta 0:00:05\n", + " ------------------ ------------------ 136.3/272.9 MB 36.4 MB/s eta 0:00:04\n", + " ------------------ ------------------ 137.5/272.9 MB 34.4 MB/s eta 0:00:04\n", + " ------------------ ------------------ 139.5/272.9 MB 36.4 MB/s eta 0:00:04\n", + " ------------------- ----------------- 140.5/272.9 MB 36.4 MB/s eta 0:00:04\n", + " ------------------- ----------------- 141.6/272.9 MB 34.4 MB/s eta 0:00:04\n", + " ------------------- ----------------- 141.6/272.9 MB 34.4 MB/s eta 0:00:04\n", + " ------------------- ----------------- 142.6/272.9 MB 27.3 MB/s eta 0:00:05\n", + " ------------------- ----------------- 144.2/272.9 MB 26.2 MB/s eta 0:00:05\n", + " ------------------- ----------------- 145.1/272.9 MB 25.2 MB/s eta 0:00:06\n", + " ------------------- ----------------- 147.0/272.9 MB 26.2 MB/s eta 0:00:05\n", + " -------------------- ---------------- 148.7/272.9 MB 26.2 MB/s eta 0:00:05\n", + " -------------------- ---------------- 149.9/272.9 MB 27.3 MB/s eta 0:00:05\n", + " -------------------- ---------------- 150.4/272.9 MB 23.4 MB/s eta 0:00:06\n", + " -------------------- ---------------- 152.2/272.9 MB 29.7 MB/s eta 0:00:05\n", + " -------------------- ---------------- 153.6/272.9 MB 29.7 MB/s eta 0:00:05\n", + " --------------------- --------------- 154.9/272.9 MB 28.5 MB/s eta 0:00:05\n", + " --------------------- --------------- 155.2/272.9 MB 31.2 MB/s eta 0:00:04\n", + " --------------------- --------------- 156.7/272.9 MB 26.2 MB/s eta 0:00:05\n", + " --------------------- --------------- 158.4/272.9 MB 27.3 MB/s eta 0:00:05\n", + " --------------------- --------------- 160.2/272.9 MB 31.2 MB/s eta 0:00:04\n", + " --------------------- --------------- 160.4/272.9 MB 31.2 MB/s eta 0:00:04\n", + " --------------------- --------------- 161.4/272.9 MB 26.2 MB/s eta 0:00:05\n", + " --------------------- --------------- 161.5/272.9 MB 23.4 MB/s eta 0:00:05\n", + " ---------------------- -------------- 163.5/272.9 MB 24.2 MB/s eta 0:00:05\n", + " ---------------------- -------------- 165.2/272.9 MB 25.1 MB/s eta 0:00:05\n", + " ---------------------- -------------- 167.1/272.9 MB 28.4 MB/s eta 0:00:04\n", + " ---------------------- -------------- 168.9/272.9 MB 28.5 MB/s eta 0:00:04\n", + " ----------------------- ------------- 170.8/272.9 MB 34.4 MB/s eta 0:00:03\n", + " ----------------------- ------------- 172.0/272.9 MB 40.9 MB/s eta 0:00:03\n", + " ----------------------- ------------- 174.1/272.9 MB 38.5 MB/s eta 0:00:03\n", + " ----------------------- ------------- 175.5/272.9 MB 36.4 MB/s eta 0:00:03\n", + " ------------------------ ------------ 177.2/272.9 MB 36.4 MB/s eta 0:00:03\n", + " ------------------------ ------------ 179.3/272.9 MB 38.5 MB/s eta 0:00:03\n", + " ------------------------ ------------ 180.5/272.9 MB 36.3 MB/s eta 0:00:03\n", + " ------------------------ ------------ 181.4/272.9 MB 36.4 MB/s eta 0:00:03\n", + " ------------------------ ------------ 181.6/272.9 MB 28.5 MB/s eta 0:00:04\n", + " ------------------------ ------------ 183.5/272.9 MB 29.7 MB/s eta 0:00:04\n", + " ------------------------- ----------- 184.5/272.9 MB 29.8 MB/s eta 0:00:03\n", + " ------------------------- ----------- 185.6/272.9 MB 29.7 MB/s eta 0:00:03\n", + " ------------------------- ----------- 187.6/272.9 MB 28.4 MB/s eta 0:00:03\n", + " ------------------------- ----------- 189.1/272.9 MB 27.3 MB/s eta 0:00:04\n", + " ------------------------- ----------- 190.8/272.9 MB 28.5 MB/s eta 0:00:03\n", + " -------------------------- ---------- 192.8/272.9 MB 34.6 MB/s eta 0:00:03\n", + " -------------------------- ---------- 194.7/272.9 MB 34.4 MB/s eta 0:00:03\n", + " -------------------------- ---------- 196.6/272.9 MB 38.6 MB/s eta 0:00:02\n", + " -------------------------- ---------- 198.6/272.9 MB 40.9 MB/s eta 0:00:02\n", + " --------------------------- --------- 200.3/272.9 MB 40.9 MB/s eta 0:00:02\n", + " --------------------------- --------- 202.4/272.9 MB 40.9 MB/s eta 0:00:02\n", + " --------------------------- --------- 203.4/272.9 MB 40.9 MB/s eta 0:00:02\n", + " --------------------------- --------- 205.5/272.9 MB 38.5 MB/s eta 0:00:02\n", + " ---------------------------- -------- 206.6/272.9 MB 36.4 MB/s eta 0:00:02\n", + " ---------------------------- -------- 207.7/272.9 MB 32.8 MB/s eta 0:00:02\n", + " ---------------------------- -------- 209.7/272.9 MB 34.4 MB/s eta 0:00:02\n", + " ---------------------------- -------- 211.2/272.9 MB 32.8 MB/s eta 0:00:02\n", + " ---------------------------- -------- 212.9/272.9 MB 34.4 MB/s eta 0:00:02\n", + " ---------------------------- -------- 213.8/272.9 MB 31.2 MB/s eta 0:00:02\n", + " ----------------------------- ------- 215.4/272.9 MB 29.7 MB/s eta 0:00:02\n", + " ----------------------------- ------- 217.5/272.9 MB 32.7 MB/s eta 0:00:02\n", + " ----------------------------- ------- 219.1/272.9 MB 36.4 MB/s eta 0:00:02\n", + " ----------------------------- ------- 220.9/272.9 MB 34.4 MB/s eta 0:00:02\n", + " ------------------------------ ------ 222.4/272.9 MB 32.8 MB/s eta 0:00:02\n", + " ------------------------------ ------ 224.4/272.9 MB 40.9 MB/s eta 0:00:02\n", + " ------------------------------ ------ 226.0/272.9 MB 38.6 MB/s eta 0:00:02\n", + " ------------------------------ ------ 227.5/272.9 MB 38.6 MB/s eta 0:00:02\n", + " ------------------------------ ------ 228.6/272.9 MB 34.4 MB/s eta 0:00:02\n", + " ------------------------------- ----- 230.2/272.9 MB 32.7 MB/s eta 0:00:02\n", + " ------------------------------- ----- 231.7/272.9 MB 34.4 MB/s eta 0:00:02\n", + " ------------------------------- ----- 233.3/272.9 MB 31.2 MB/s eta 0:00:02\n", + " ------------------------------- ----- 233.8/272.9 MB 34.4 MB/s eta 0:00:02\n", + " ------------------------------- ----- 234.3/272.9 MB 27.3 MB/s eta 0:00:02\n", + " ------------------------------- ----- 234.9/272.9 MB 27.3 MB/s eta 0:00:02\n", + " ------------------------------- ----- 234.9/272.9 MB 21.8 MB/s eta 0:00:02\n", + " -------------------------------- ---- 237.0/272.9 MB 23.4 MB/s eta 0:00:02\n", + " -------------------------------- ---- 238.4/272.9 MB 24.2 MB/s eta 0:00:02\n", + " -------------------------------- ---- 240.1/272.9 MB 24.2 MB/s eta 0:00:02\n", + " -------------------------------- ---- 241.3/272.9 MB 23.4 MB/s eta 0:00:02\n", + " --------------------------------- --- 243.6/272.9 MB 25.1 MB/s eta 0:00:02\n", + " --------------------------------- --- 245.4/272.9 MB 38.6 MB/s eta 0:00:01\n", + " --------------------------------- --- 247.5/272.9 MB 38.6 MB/s eta 0:00:01\n", + " --------------------------------- --- 248.5/272.9 MB 38.5 MB/s eta 0:00:01\n", + " --------------------------------- --- 250.6/272.9 MB 38.5 MB/s eta 0:00:01\n", + " --------------------------------- --- 250.6/272.9 MB 32.7 MB/s eta 0:00:01\n", + " ---------------------------------- -- 252.5/272.9 MB 32.7 MB/s eta 0:00:01\n", + " ---------------------------------- -- 253.7/272.9 MB 32.8 MB/s eta 0:00:01\n", + " ---------------------------------- -- 254.8/272.9 MB 29.7 MB/s eta 0:00:01\n", + " ---------------------------------- -- 256.9/272.9 MB 29.8 MB/s eta 0:00:01\n", + " ---------------------------------- -- 257.9/272.9 MB 28.5 MB/s eta 0:00:01\n", + " ----------------------------------- - 259.0/272.9 MB 29.7 MB/s eta 0:00:01\n", + " ----------------------------------- - 260.7/272.9 MB 27.3 MB/s eta 0:00:01\n", + " ----------------------------------- - 262.1/272.9 MB 31.2 MB/s eta 0:00:01\n", + " ----------------------------------- - 264.2/272.9 MB 34.4 MB/s eta 0:00:01\n", + " ----------------------------------- - 265.3/272.9 MB 36.4 MB/s eta 0:00:01\n", + " ----------------------------------- - 265.3/272.9 MB 36.4 MB/s eta 0:00:01\n", + " ------------------------------------ 266.5/272.9 MB 26.2 MB/s eta 0:00:01\n", + " ------------------------------------ 268.4/272.9 MB 29.7 MB/s eta 0:00:01\n", + " ------------------------------------ 270.2/272.9 MB 29.7 MB/s eta 0:00:01\n", + " ------------------------------------ 271.4/272.9 MB 28.5 MB/s eta 0:00:01\n", + " ------------------------------------ 271.6/272.9 MB 29.7 MB/s eta 0:00:01\n", + " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", + " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", + " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", + " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", + " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", + " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", + " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", + " ------------------------------------- 272.9/272.9 MB 12.1 MB/s eta 0:00:00\n", + "Requirement already satisfied: absl-py>=1.0.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.0.0)\n", + "Collecting astunparse>=1.6.0 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)\n", + "Requirement already satisfied: flatbuffers>=2.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (23.5.26)\n", + "Collecting gast<=0.4.0,>=0.2.1 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading gast-0.4.0-py3-none-any.whl (9.8 kB)\n", + "Collecting google-pasta>=0.1.1 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)\n", + " ---------------------------------------- 0.0/57.5 kB ? eta -:--:--\n", + " ---------------------------------------- 57.5/57.5 kB ? eta 0:00:00\n", + "Requirement already satisfied: h5py>=2.9.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (3.9.0)\n", + "Collecting jax>=0.3.15 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Obtaining dependency information for jax>=0.3.15 from https://files.pythonhosted.org/packages/cb/a5/017b93c68422e0d4952575a672a7a491d39b35e78380d5989349c48fea53/jax-0.4.20-py3-none-any.whl.metadata\n", + " Downloading jax-0.4.20-py3-none-any.whl.metadata (23 kB)\n", + "Collecting libclang>=13.0.0 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Obtaining dependency information for libclang>=13.0.0 from https://files.pythonhosted.org/packages/02/8c/dc970bc00867fe290e8c8a7befa1635af716a9ebdfe3fb9dce0ca4b522ce/libclang-16.0.6-py2.py3-none-win_amd64.whl.metadata\n", + " Downloading libclang-16.0.6-py2.py3-none-win_amd64.whl.metadata (5.3 kB)\n", + "Collecting numpy<1.24,>=1.22 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading numpy-1.23.5-cp311-cp311-win_amd64.whl (14.6 MB)\n", + " ---------------------------------------- 0.0/14.6 MB ? eta -:--:--\n", + " ------ --------------------------------- 2.2/14.6 MB 71.0 MB/s eta 0:00:01\n", + " ----------- ---------------------------- 4.3/14.6 MB 54.6 MB/s eta 0:00:01\n", + " ----------------- ---------------------- 6.5/14.6 MB 51.8 MB/s eta 0:00:01\n", + " ---------------------- ----------------- 8.4/14.6 MB 48.6 MB/s eta 0:00:01\n", + " --------------------------- ----------- 10.2/14.6 MB 46.6 MB/s eta 0:00:01\n", + " ---------------------------------- ---- 12.9/14.6 MB 46.7 MB/s eta 0:00:01\n", + " -------------------------------------- 14.6/14.6 MB 46.7 MB/s eta 0:00:01\n", + " --------------------------------------- 14.6/14.6 MB 40.9 MB/s eta 0:00:00\n", + "Collecting opt-einsum>=2.3.2 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)\n", + " ---------------------------------------- 0.0/65.5 kB ? eta -:--:--\n", + " ---------------------------------------- 65.5/65.5 kB 3.5 MB/s eta 0:00:00\n", + "Requirement already satisfied: packaging in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (23.1)\n", + "Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (3.20.3)\n", + "Requirement already satisfied: setuptools in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (68.0.0)\n", + "Requirement already satisfied: six>=1.12.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.16.0)\n", + "Collecting termcolor>=1.1.0 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading termcolor-2.3.0-py3-none-any.whl (6.9 kB)\n", + "Requirement already satisfied: typing-extensions>=3.6.6 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (4.7.1)\n", + "Requirement already satisfied: wrapt<1.15,>=1.11.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.14.1)\n", + "Collecting grpcio<2.0,>=1.24.3 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Obtaining dependency information for grpcio<2.0,>=1.24.3 from https://files.pythonhosted.org/packages/13/ee/b698a4d0eeae2d58d9906f20959b58a00622180ff8bf4ba71f71aad3c7f8/grpcio-1.59.2-cp311-cp311-win_amd64.whl.metadata\n", + " Downloading grpcio-1.59.2-cp311-cp311-win_amd64.whl.metadata (4.2 kB)\n", + "Collecting tensorboard<2.13,>=2.12 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading tensorboard-2.12.3-py3-none-any.whl (5.6 MB)\n", + " ---------------------------------------- 0.0/5.6 MB ? eta -:--:--\n", + " ---------------- ----------------------- 2.3/5.6 MB 70.4 MB/s eta 0:00:01\n", + " ----------------------------------- ---- 4.9/5.6 MB 62.3 MB/s eta 0:00:01\n", + " ---------------------------------------- 5.6/5.6 MB 51.2 MB/s eta 0:00:00\n", + "Collecting tensorflow-estimator<2.13,>=2.12.0 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading tensorflow_estimator-2.12.0-py2.py3-none-any.whl (440 kB)\n", + " ---------------------------------------- 0.0/440.7 kB ? eta -:--:--\n", + " ------------------------------------- 440.7/440.7 kB 26.9 MB/s eta 0:00:00\n", + "Collecting keras<2.13,>=2.12.0 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading keras-2.12.0-py2.py3-none-any.whl (1.7 MB)\n", + " ---------------------------------------- 0.0/1.7 MB ? eta -:--:--\n", + " ---------------------------------------- 1.7/1.7 MB 55.7 MB/s eta 0:00:00\n", + "Collecting tensorflow-io-gcs-filesystem>=0.23.1 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading tensorflow_io_gcs_filesystem-0.31.0-cp311-cp311-win_amd64.whl (1.5 MB)\n", + " ---------------------------------------- 0.0/1.5 MB ? eta -:--:--\n", + " ---------------------------------------- 1.5/1.5 MB 47.6 MB/s eta 0:00:00\n", + "Requirement already satisfied: attrs>=19.1.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from mediapipe) (22.1.0)\n", + "Requirement already satisfied: opencv-contrib-python in c:\\programdata\\anaconda3\\lib\\site-packages (from mediapipe) (4.8.1.78)\n", + "Requirement already satisfied: sounddevice>=0.4.4 in c:\\programdata\\anaconda3\\lib\\site-packages (from mediapipe) (0.4.6)\n", + "Requirement already satisfied: contourpy>=1.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (1.0.5)\n", + "Requirement already satisfied: cycler>=0.10 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (0.11.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (4.25.0)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (1.4.4)\n", + "Requirement already satisfied: pillow>=6.2.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (9.4.0)\n", + "Requirement already satisfied: pyparsing<3.1,>=2.3.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (3.0.9)\n", + "Requirement already satisfied: python-dateutil>=2.7 in c:\\programdata\\anaconda3\\lib\\site-packages (from matplotlib) (2.8.2)\n", + "Requirement already satisfied: CFFI>=1.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from sounddevice>=0.4.4->mediapipe) (1.15.1)\n", + "Requirement already satisfied: wheel<1.0,>=0.23.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from astunparse>=1.6.0->tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.38.4)\n", + "Requirement already satisfied: pycparser in c:\\programdata\\anaconda3\\lib\\site-packages (from CFFI>=1.0->sounddevice>=0.4.4->mediapipe) (2.21)\n", + "Collecting ml-dtypes>=0.2.0 (from jax>=0.3.15->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Obtaining dependency information for ml-dtypes>=0.2.0 from https://files.pythonhosted.org/packages/4f/95/48c66f80acb9f91c3c2fd0cc6939457b8b0c1bd0d2b96edb461a5209df80/ml_dtypes-0.3.1-cp311-cp311-win_amd64.whl.metadata\n", + " Downloading ml_dtypes-0.3.1-cp311-cp311-win_amd64.whl.metadata (20 kB)\n", + "Requirement already satisfied: scipy>=1.9 in c:\\programdata\\anaconda3\\lib\\site-packages (from jax>=0.3.15->tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.11.1)\n", + "Collecting google-auth<3,>=1.6.3 (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Obtaining dependency information for google-auth<3,>=1.6.3 from https://files.pythonhosted.org/packages/86/a7/75911c13a242735d5aeaca6a272da380335ff4ba5f26d6b2ae20ff682d13/google_auth-2.23.4-py2.py3-none-any.whl.metadata\n", + " Downloading google_auth-2.23.4-py2.py3-none-any.whl.metadata (4.7 kB)\n", + "Collecting google-auth-oauthlib<1.1,>=0.5 (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading google_auth_oauthlib-1.0.0-py2.py3-none-any.whl (18 kB)\n", + "Requirement already satisfied: markdown>=2.6.8 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (3.4.1)\n", + "Requirement already satisfied: requests<3,>=2.21.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.31.0)\n", + "Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Obtaining dependency information for tensorboard-data-server<0.8.0,>=0.7.0 from https://files.pythonhosted.org/packages/7a/13/e503968fefabd4c6b2650af21e110aa8466fe21432cd7c43a84577a89438/tensorboard_data_server-0.7.2-py3-none-any.whl.metadata\n", + " Downloading tensorboard_data_server-0.7.2-py3-none-any.whl.metadata (1.1 kB)\n", + "Requirement already satisfied: werkzeug>=1.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.2.3)\n", + "Collecting cachetools<6.0,>=2.0.0 (from google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Obtaining dependency information for cachetools<6.0,>=2.0.0 from https://files.pythonhosted.org/packages/a2/91/2d843adb9fbd911e0da45fbf6f18ca89d07a087c3daa23e955584f90ebf4/cachetools-5.3.2-py3-none-any.whl.metadata\n", + " Downloading cachetools-5.3.2-py3-none-any.whl.metadata (5.2 kB)\n", + "Requirement already satisfied: pyasn1-modules>=0.2.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.2.8)\n", + "Collecting rsa<5,>=3.1.4 (from google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading rsa-4.9-py3-none-any.whl (34 kB)\n", + "Collecting requests-oauthlib>=0.7.0 (from google-auth-oauthlib<1.1,>=0.5->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.0.4)\n", + "Requirement already satisfied: idna<4,>=2.5 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (3.4)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.26.16)\n", + "Requirement already satisfied: certifi>=2017.4.17 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2023.7.22)\n", + "Requirement already satisfied: MarkupSafe>=2.1.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from werkzeug>=1.0.1->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.1.1)\n", + "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in c:\\programdata\\anaconda3\\lib\\site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.4.8)\n", + "Collecting oauthlib>=3.0.0 (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", + " Downloading oauthlib-3.2.2-py3-none-any.whl (151 kB)\n", + " ---------------------------------------- 0.0/151.7 kB ? eta -:--:--\n", + " ---------------------------------------- 151.7/151.7 kB ? eta 0:00:00\n", + "Downloading grpcio-1.59.2-cp311-cp311-win_amd64.whl (3.7 MB)\n", + " ---------------------------------------- 0.0/3.7 MB ? eta -:--:--\n", + " ----------------- ---------------------- 1.6/3.7 MB 51.2 MB/s eta 0:00:01\n", + " ---------------------------------------- 3.7/3.7 MB 46.9 MB/s eta 0:00:00\n", + "Downloading jax-0.4.20-py3-none-any.whl (1.7 MB)\n", + " ---------------------------------------- 0.0/1.7 MB ? eta -:--:--\n", + " ---------------------------------------- 1.7/1.7 MB 53.7 MB/s eta 0:00:00\n", + "Downloading libclang-16.0.6-py2.py3-none-win_amd64.whl (24.4 MB)\n", + " ---------------------------------------- 0.0/24.4 MB ? eta -:--:--\n", + " --- ------------------------------------ 2.3/24.4 MB 49.2 MB/s eta 0:00:01\n", + " ------- -------------------------------- 4.7/24.4 MB 49.6 MB/s eta 0:00:01\n", + " ----------- ---------------------------- 7.0/24.4 MB 49.3 MB/s eta 0:00:01\n", + " --------------- ------------------------ 9.4/24.4 MB 49.8 MB/s eta 0:00:01\n", + " ------------------- -------------------- 12.0/24.4 MB 50.4 MB/s eta 0:00:01\n", + " ------------------------ --------------- 14.7/24.4 MB 50.1 MB/s eta 0:00:01\n", + " ---------------------------- ----------- 17.4/24.4 MB 54.7 MB/s eta 0:00:01\n", + " ------------------------------- -------- 19.3/24.4 MB 50.4 MB/s eta 0:00:01\n", + " ---------------------------------- ----- 21.3/24.4 MB 54.4 MB/s eta 0:00:01\n", + " --------------------------------------- 24.1/24.4 MB 50.4 MB/s eta 0:00:01\n", + " --------------------------------------- 24.4/24.4 MB 50.4 MB/s eta 0:00:01\n", + " ---------------------------------------- 24.4/24.4 MB 40.9 MB/s eta 0:00:00\n", + "Downloading google_auth-2.23.4-py2.py3-none-any.whl (183 kB)\n", + " ---------------------------------------- 0.0/183.3 kB ? eta -:--:--\n", + " ---------------------------------------- 183.3/183.3 kB ? eta 0:00:00\n", + "Downloading ml_dtypes-0.3.1-cp311-cp311-win_amd64.whl (127 kB)\n", + " ---------------------------------------- 0.0/127.1 kB ? eta -:--:--\n", + " ---------------------------------------- 127.1/127.1 kB 7.3 MB/s eta 0:00:00\n", + "Downloading tensorboard_data_server-0.7.2-py3-none-any.whl (2.4 kB)\n", + "Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n", + "Building wheels for collected packages: sklearn\n", + " Building wheel for sklearn (setup.py): started\n", + " Building wheel for sklearn (setup.py): finished with status 'done'\n", + " Created wheel for sklearn: filename=sklearn-0.0.post11-py3-none-any.whl size=2978 sha256=4c27cd7487063614b87c0779e4d9e6f887c3c8ea88cd18b1579c6c0808180498\n", + " Stored in directory: c:\\users\\ashok\\appdata\\local\\pip\\cache\\wheels\\52\\cc\\47\\500a56407c060a5d18bda9aa3ec2daf4721b8448ee4b268840\n", + "Successfully built sklearn\n", + "Installing collected packages: sklearn, libclang, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, rsa, oauthlib, numpy, keras, grpcio, google-pasta, gast, cachetools, astunparse, requests-oauthlib, opt-einsum, ml-dtypes, google-auth, jax, google-auth-oauthlib, tensorboard, tensorflow-intel, tensorflow\n", + "Successfully installed astunparse-1.6.3 cachetools-5.3.2 gast-0.4.0 google-auth-2.23.4 google-auth-oauthlib-1.0.0 google-pasta-0.2.0 grpcio-1.59.2 jax-0.4.20 keras-2.12.0 libclang-16.0.6 ml-dtypes-0.3.1 numpy-1.23.5 oauthlib-3.2.2 opt-einsum-3.3.0 requests-oauthlib-1.3.1 rsa-4.9 sklearn-0.0.post11 tensorboard-2.12.3 tensorboard-data-server-0.7.2 tensorflow-2.12.0 tensorflow-estimator-2.12.0 tensorflow-intel-2.12.0 tensorflow-io-gcs-filesystem-0.31.0 termcolor-2.3.0\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + " WARNING: The scripts pyrsa-decrypt.exe, pyrsa-encrypt.exe, pyrsa-keygen.exe, pyrsa-priv2pub.exe, pyrsa-sign.exe and pyrsa-verify.exe are installed in 'C:\\Users\\ashok\\AppData\\Roaming\\Python\\Python311\\Scripts' which is not on PATH.\n", + " Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n", + " WARNING: The script f2py.exe is installed in 'C:\\Users\\ashok\\AppData\\Roaming\\Python\\Python311\\Scripts' which is not on PATH.\n", + " Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n", + " WARNING: The script google-oauthlib-tool.exe is installed in 'C:\\Users\\ashok\\AppData\\Roaming\\Python\\Python311\\Scripts' which is not on PATH.\n", + " Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n", + " WARNING: The script tensorboard.exe is installed in 'C:\\Users\\ashok\\AppData\\Roaming\\Python\\Python311\\Scripts' which is not on PATH.\n", + " Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n", + " WARNING: The scripts estimator_ckpt_converter.exe, import_pb_to_tensorboard.exe, saved_model_cli.exe, tensorboard.exe, tf_upgrade_v2.exe, tflite_convert.exe, toco.exe and toco_from_protos.exe are installed in 'C:\\Users\\ashok\\AppData\\Roaming\\Python\\Python311\\Scripts' which is not on PATH.\n", + " Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n", + "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", + "gensim 4.3.0 requires FuzzyTM>=0.4.0, which is not installed.\n", + "tables 3.8.0 requires blosc2~=2.0.0, which is not installed.\n", + "tables 3.8.0 requires cython>=0.29.21, which is not installed.\n" + ] + } + ], "source": [ - "!pip install tensorflow==2.4.1 tensorflow-gpu==2.4.1 opencv-python mediapipe sklearn matplotlib" + "!pip install tensorflow==2.12.0 opencv-python mediapipe sklearn matplotlib" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -39,7 +435,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -49,7 +445,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -64,7 +460,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -77,13 +473,13 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "def draw_styled_landmarks(image, results):\n", " # Draw face connections\n", - " mp_drawing.draw_landmarks(image, results.face_landmarks, mp_holistic.FACE_CONNECTIONS, \n", + " mp_drawing.draw_landmarks(image, results.face_landmarks, mp_holistic.FACEMESH_CONTOURS, \n", " mp_drawing.DrawingSpec(color=(80,110,10), thickness=1, circle_radius=1), \n", " mp_drawing.DrawingSpec(color=(80,256,121), thickness=1, circle_radius=1)\n", " ) \n", @@ -106,9 +502,277 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n" + ] + } + ], "source": [ "cap = cv2.VideoCapture(0)\n", "# Set mediapipe model \n", @@ -137,38 +801,49 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 20, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "AttributeError", + "evalue": "module 'mediapipe.python.solutions.holistic' has no attribute 'FACE_CONNECTIONS'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[20], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m draw_landmarks(frame, results)\n", + "Cell \u001b[1;32mIn[8], line 2\u001b[0m, in \u001b[0;36mdraw_landmarks\u001b[1;34m(image, results)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdraw_landmarks\u001b[39m(image, results):\n\u001b[1;32m----> 2\u001b[0m mp_drawing\u001b[38;5;241m.\u001b[39mdraw_landmarks(image, results\u001b[38;5;241m.\u001b[39mface_landmarks, mp_holistic\u001b[38;5;241m.\u001b[39mFACE_CONNECTIONS) \u001b[38;5;66;03m# Draw face connections\u001b[39;00m\n\u001b[0;32m 3\u001b[0m mp_drawing\u001b[38;5;241m.\u001b[39mdraw_landmarks(image, results\u001b[38;5;241m.\u001b[39mpose_landmarks, mp_holistic\u001b[38;5;241m.\u001b[39mPOSE_CONNECTIONS) \u001b[38;5;66;03m# Draw pose connections\u001b[39;00m\n\u001b[0;32m 4\u001b[0m mp_drawing\u001b[38;5;241m.\u001b[39mdraw_landmarks(image, results\u001b[38;5;241m.\u001b[39mleft_hand_landmarks, mp_holistic\u001b[38;5;241m.\u001b[39mHAND_CONNECTIONS) \u001b[38;5;66;03m# Draw left hand connections\u001b[39;00m\n", + "\u001b[1;31mAttributeError\u001b[0m: module 'mediapipe.python.solutions.holistic' has no attribute 'FACE_CONNECTIONS'" + ] + } + ], "source": [ "draw_landmarks(frame, results)" ] }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 31, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -185,7 +860,7 @@ }, { "cell_type": "code", - "execution_count": 114, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -194,7 +869,7 @@ "21" ] }, - "execution_count": 114, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -205,7 +880,7 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -217,7 +892,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -229,32 +904,16 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 27, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n", - " 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])" - ] - }, - "execution_count": 109, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ - "face = np.array([[res.x, res.y, res.z] for res in results.face_landmarks.landmark]).flatten() \n", - " if results.face_landmarks \n", - " else np.zeros(1404)\n" + "face = np.array([[res.x, res.y, res.z] for res in results.face_landmarks.landmark]).flatten() if results.face_landmarks else np.zeros(1404)\n" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -268,7 +927,7 @@ }, { "cell_type": "code", - "execution_count": 122, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ @@ -277,17 +936,17 @@ }, { "cell_type": "code", - "execution_count": 123, + "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([ 0.3835876 , 0.47759178, -0.77978629, ..., 0. ,\n", + "array([ 0.52532709, 0.41906884, -0.51375777, ..., 0. ,\n", " 0. , 0. ])" ] }, - "execution_count": 123, + "execution_count": 30, "metadata": {}, "output_type": "execute_result" } @@ -298,7 +957,7 @@ }, { "cell_type": "code", - "execution_count": 124, + "execution_count": 31, "metadata": {}, "outputs": [], "source": [ @@ -307,17 +966,17 @@ }, { "cell_type": "code", - "execution_count": 125, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([ 0.3835876 , 0.47759178, -0.77978629, ..., 0. ,\n", + "array([ 0.52532709, 0.41906884, -0.51375777, ..., 0. ,\n", " 0. , 0. ])" ] }, - "execution_count": 125, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -335,7 +994,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -343,7 +1002,7 @@ "DATA_PATH = os.path.join('MP_Data') \n", "\n", "# Actions that we try to detect\n", - "actions = np.array(['hello', 'thanks', 'iloveyou'])\n", + "actions = np.array(['pose1', 'pose2', 'pose3'])\n", "\n", "# Thirty videos worth of data\n", "no_sequences = 30\n", @@ -357,9 +1016,24 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 36, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ValueError", + "evalue": "zero-size array to reduction operation maximum which has no identity", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[36], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m action \u001b[38;5;129;01min\u001b[39;00m actions: \n\u001b[1;32m----> 2\u001b[0m dirmax \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmax(np\u001b[38;5;241m.\u001b[39marray(os\u001b[38;5;241m.\u001b[39mlistdir(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(DATA_PATH, action)))\u001b[38;5;241m.\u001b[39mastype(\u001b[38;5;28mint\u001b[39m))\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m sequence \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m,no_sequences\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m1\u001b[39m):\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m: \n", + "File \u001b[1;32m<__array_function__ internals>:200\u001b[0m, in \u001b[0;36mamax\u001b[1;34m(*args, **kwargs)\u001b[0m\n", + "File \u001b[1;32mC:\\ProgramData\\anaconda3\\Lib\\site-packages\\numpy\\core\\fromnumeric.py:2820\u001b[0m, in \u001b[0;36mamax\u001b[1;34m(a, axis, out, keepdims, initial, where)\u001b[0m\n\u001b[0;32m 2703\u001b[0m \u001b[38;5;129m@array_function_dispatch\u001b[39m(_amax_dispatcher)\n\u001b[0;32m 2704\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mamax\u001b[39m(a, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, keepdims\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39m_NoValue, initial\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39m_NoValue,\n\u001b[0;32m 2705\u001b[0m where\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39m_NoValue):\n\u001b[0;32m 2706\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 2707\u001b[0m \u001b[38;5;124;03m Return the maximum of an array or maximum along an axis.\u001b[39;00m\n\u001b[0;32m 2708\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 2818\u001b[0m \u001b[38;5;124;03m 5\u001b[39;00m\n\u001b[0;32m 2819\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m-> 2820\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _wrapreduction(a, np\u001b[38;5;241m.\u001b[39mmaximum, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax\u001b[39m\u001b[38;5;124m'\u001b[39m, axis, \u001b[38;5;28;01mNone\u001b[39;00m, out,\n\u001b[0;32m 2821\u001b[0m keepdims\u001b[38;5;241m=\u001b[39mkeepdims, initial\u001b[38;5;241m=\u001b[39minitial, where\u001b[38;5;241m=\u001b[39mwhere)\n", + "File \u001b[1;32mC:\\ProgramData\\anaconda3\\Lib\\site-packages\\numpy\\core\\fromnumeric.py:86\u001b[0m, in \u001b[0;36m_wrapreduction\u001b[1;34m(obj, ufunc, method, axis, dtype, out, **kwargs)\u001b[0m\n\u001b[0;32m 83\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 84\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m reduction(axis\u001b[38;5;241m=\u001b[39maxis, out\u001b[38;5;241m=\u001b[39mout, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mpasskwargs)\n\u001b[1;32m---> 86\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ufunc\u001b[38;5;241m.\u001b[39mreduce(obj, axis, dtype, out, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mpasskwargs)\n", + "\u001b[1;31mValueError\u001b[0m: zero-size array to reduction operation maximum which has no identity" + ] + } + ], "source": [ "for action in actions: \n", " dirmax = np.max(np.array(os.listdir(os.path.join(DATA_PATH, action))).astype(int))\n", @@ -1021,9 +1695,9 @@ ], "metadata": { "kernelspec": { - "display_name": "action", + "display_name": "Python 3 (ipykernel)", "language": "python", - "name": "action" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -1035,7 +1709,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.3" + "version": "3.11.5" } }, "nbformat": 4, From 9f078376b7cbbd96471c1fb8261a74ca9717caf9 Mon Sep 17 00:00:00 2001 From: Ashok Ramakrishnan Date: Sat, 11 Nov 2023 18:06:00 -0500 Subject: [PATCH 2/4] Trained with some hand signals --- 0.npy | Bin 13424 -> 0 bytes Action Detection Refined.ipynb | 7129 ++++++++++++++++++++++++++------ MP_Data/pose1/0/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/0/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/1/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/10/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/11/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/12/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/13/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/14/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/15/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/16/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/17/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/18/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/19/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/2/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/20/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/21/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/22/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/23/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/24/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/25/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/26/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/27/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/28/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/29/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/3/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/4/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/5/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/6/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/7/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/8/9.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/0.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/1.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/10.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/11.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/12.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/13.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/14.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/15.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/16.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/17.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/18.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/19.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/2.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/20.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/21.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/22.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/23.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/24.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/25.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/26.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/27.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/28.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/29.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/3.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/4.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/5.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/6.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/7.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/8.npy | Bin 0 -> 13424 bytes MP_Data/pose1/9/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/0/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/1/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/10/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/11/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/12/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/13/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/14/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/15/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/16/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/17/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/18/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/19/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/2/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/20/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/21/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/22/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/23/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/24/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/25/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/26/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/27/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/28/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/29/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/3/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/4/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/5/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/6/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/7/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/8/9.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/0.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/1.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/10.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/11.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/12.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/13.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/14.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/15.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/16.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/17.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/18.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/19.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/2.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/20.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/21.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/22.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/23.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/24.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/25.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/26.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/27.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/28.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/29.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/3.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/4.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/5.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/6.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/7.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/8.npy | Bin 0 -> 13424 bytes MP_Data/pose2/9/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/0/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/1/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/10/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/11/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/12/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/13/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/14/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/15/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/16/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/17/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/18/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/19/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/2/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/20/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/21/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/22/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/23/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/24/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/25/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/26/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/27/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/28/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/29/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/3/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/4/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/5/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/6/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/7/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/8/9.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/0.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/1.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/10.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/11.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/12.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/13.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/14.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/15.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/16.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/17.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/18.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/19.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/2.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/20.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/21.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/22.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/23.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/24.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/25.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/26.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/27.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/28.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/29.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/3.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/4.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/5.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/6.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/7.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/8.npy | Bin 0 -> 13424 bytes MP_Data/pose3/9/9.npy | Bin 0 -> 13424 bytes action.h5 | Bin 7229184 -> 7225304 bytes 2703 files changed, 5917 insertions(+), 1212 deletions(-) delete mode 100644 0.npy create mode 100644 MP_Data/pose1/0/0.npy create mode 100644 MP_Data/pose1/0/1.npy create mode 100644 MP_Data/pose1/0/10.npy create mode 100644 MP_Data/pose1/0/11.npy create mode 100644 MP_Data/pose1/0/12.npy create mode 100644 MP_Data/pose1/0/13.npy create mode 100644 MP_Data/pose1/0/14.npy create mode 100644 MP_Data/pose1/0/15.npy create mode 100644 MP_Data/pose1/0/16.npy create mode 100644 MP_Data/pose1/0/17.npy create mode 100644 MP_Data/pose1/0/18.npy create mode 100644 MP_Data/pose1/0/19.npy create mode 100644 MP_Data/pose1/0/2.npy create mode 100644 MP_Data/pose1/0/20.npy create mode 100644 MP_Data/pose1/0/21.npy create mode 100644 MP_Data/pose1/0/22.npy create mode 100644 MP_Data/pose1/0/23.npy create mode 100644 MP_Data/pose1/0/24.npy create mode 100644 MP_Data/pose1/0/25.npy create mode 100644 MP_Data/pose1/0/26.npy create mode 100644 MP_Data/pose1/0/27.npy create mode 100644 MP_Data/pose1/0/28.npy create mode 100644 MP_Data/pose1/0/29.npy create mode 100644 MP_Data/pose1/0/3.npy create mode 100644 MP_Data/pose1/0/4.npy create mode 100644 MP_Data/pose1/0/5.npy create mode 100644 MP_Data/pose1/0/6.npy create mode 100644 MP_Data/pose1/0/7.npy create mode 100644 MP_Data/pose1/0/8.npy create mode 100644 MP_Data/pose1/0/9.npy create mode 100644 MP_Data/pose1/1/0.npy create mode 100644 MP_Data/pose1/1/1.npy create mode 100644 MP_Data/pose1/1/10.npy create mode 100644 MP_Data/pose1/1/11.npy create mode 100644 MP_Data/pose1/1/12.npy create mode 100644 MP_Data/pose1/1/13.npy create mode 100644 MP_Data/pose1/1/14.npy create mode 100644 MP_Data/pose1/1/15.npy create mode 100644 MP_Data/pose1/1/16.npy create mode 100644 MP_Data/pose1/1/17.npy create mode 100644 MP_Data/pose1/1/18.npy create mode 100644 MP_Data/pose1/1/19.npy create mode 100644 MP_Data/pose1/1/2.npy create mode 100644 MP_Data/pose1/1/20.npy create mode 100644 MP_Data/pose1/1/21.npy create mode 100644 MP_Data/pose1/1/22.npy create mode 100644 MP_Data/pose1/1/23.npy create mode 100644 MP_Data/pose1/1/24.npy create mode 100644 MP_Data/pose1/1/25.npy create mode 100644 MP_Data/pose1/1/26.npy create mode 100644 MP_Data/pose1/1/27.npy create mode 100644 MP_Data/pose1/1/28.npy create mode 100644 MP_Data/pose1/1/29.npy create mode 100644 MP_Data/pose1/1/3.npy create mode 100644 MP_Data/pose1/1/4.npy create mode 100644 MP_Data/pose1/1/5.npy create mode 100644 MP_Data/pose1/1/6.npy create mode 100644 MP_Data/pose1/1/7.npy create mode 100644 MP_Data/pose1/1/8.npy create mode 100644 MP_Data/pose1/1/9.npy create mode 100644 MP_Data/pose1/10/0.npy create mode 100644 MP_Data/pose1/10/1.npy create mode 100644 MP_Data/pose1/10/10.npy create mode 100644 MP_Data/pose1/10/11.npy create mode 100644 MP_Data/pose1/10/12.npy create mode 100644 MP_Data/pose1/10/13.npy create mode 100644 MP_Data/pose1/10/14.npy create mode 100644 MP_Data/pose1/10/15.npy create mode 100644 MP_Data/pose1/10/16.npy create mode 100644 MP_Data/pose1/10/17.npy create mode 100644 MP_Data/pose1/10/18.npy create mode 100644 MP_Data/pose1/10/19.npy create mode 100644 MP_Data/pose1/10/2.npy create mode 100644 MP_Data/pose1/10/20.npy create mode 100644 MP_Data/pose1/10/21.npy create mode 100644 MP_Data/pose1/10/22.npy create mode 100644 MP_Data/pose1/10/23.npy create mode 100644 MP_Data/pose1/10/24.npy create mode 100644 MP_Data/pose1/10/25.npy create mode 100644 MP_Data/pose1/10/26.npy create mode 100644 MP_Data/pose1/10/27.npy create mode 100644 MP_Data/pose1/10/28.npy create mode 100644 MP_Data/pose1/10/29.npy create mode 100644 MP_Data/pose1/10/3.npy create mode 100644 MP_Data/pose1/10/4.npy create mode 100644 MP_Data/pose1/10/5.npy create mode 100644 MP_Data/pose1/10/6.npy create mode 100644 MP_Data/pose1/10/7.npy create mode 100644 MP_Data/pose1/10/8.npy create mode 100644 MP_Data/pose1/10/9.npy create mode 100644 MP_Data/pose1/11/0.npy create mode 100644 MP_Data/pose1/11/1.npy create mode 100644 MP_Data/pose1/11/10.npy create mode 100644 MP_Data/pose1/11/11.npy create mode 100644 MP_Data/pose1/11/12.npy create mode 100644 MP_Data/pose1/11/13.npy create mode 100644 MP_Data/pose1/11/14.npy create mode 100644 MP_Data/pose1/11/15.npy create mode 100644 MP_Data/pose1/11/16.npy create mode 100644 MP_Data/pose1/11/17.npy create mode 100644 MP_Data/pose1/11/18.npy create mode 100644 MP_Data/pose1/11/19.npy create mode 100644 MP_Data/pose1/11/2.npy create mode 100644 MP_Data/pose1/11/20.npy create mode 100644 MP_Data/pose1/11/21.npy create mode 100644 MP_Data/pose1/11/22.npy create mode 100644 MP_Data/pose1/11/23.npy create mode 100644 MP_Data/pose1/11/24.npy create mode 100644 MP_Data/pose1/11/25.npy create mode 100644 MP_Data/pose1/11/26.npy create mode 100644 MP_Data/pose1/11/27.npy create mode 100644 MP_Data/pose1/11/28.npy create mode 100644 MP_Data/pose1/11/29.npy create mode 100644 MP_Data/pose1/11/3.npy create mode 100644 MP_Data/pose1/11/4.npy create mode 100644 MP_Data/pose1/11/5.npy create mode 100644 MP_Data/pose1/11/6.npy create mode 100644 MP_Data/pose1/11/7.npy create mode 100644 MP_Data/pose1/11/8.npy create mode 100644 MP_Data/pose1/11/9.npy create mode 100644 MP_Data/pose1/12/0.npy create mode 100644 MP_Data/pose1/12/1.npy create mode 100644 MP_Data/pose1/12/10.npy create mode 100644 MP_Data/pose1/12/11.npy create mode 100644 MP_Data/pose1/12/12.npy create mode 100644 MP_Data/pose1/12/13.npy create mode 100644 MP_Data/pose1/12/14.npy create mode 100644 MP_Data/pose1/12/15.npy create mode 100644 MP_Data/pose1/12/16.npy create mode 100644 MP_Data/pose1/12/17.npy create mode 100644 MP_Data/pose1/12/18.npy create mode 100644 MP_Data/pose1/12/19.npy create mode 100644 MP_Data/pose1/12/2.npy create mode 100644 MP_Data/pose1/12/20.npy create mode 100644 MP_Data/pose1/12/21.npy create mode 100644 MP_Data/pose1/12/22.npy create mode 100644 MP_Data/pose1/12/23.npy create mode 100644 MP_Data/pose1/12/24.npy create mode 100644 MP_Data/pose1/12/25.npy create mode 100644 MP_Data/pose1/12/26.npy create mode 100644 MP_Data/pose1/12/27.npy create mode 100644 MP_Data/pose1/12/28.npy create mode 100644 MP_Data/pose1/12/29.npy create mode 100644 MP_Data/pose1/12/3.npy create mode 100644 MP_Data/pose1/12/4.npy create mode 100644 MP_Data/pose1/12/5.npy create mode 100644 MP_Data/pose1/12/6.npy create mode 100644 MP_Data/pose1/12/7.npy create mode 100644 MP_Data/pose1/12/8.npy create mode 100644 MP_Data/pose1/12/9.npy create mode 100644 MP_Data/pose1/13/0.npy create mode 100644 MP_Data/pose1/13/1.npy create mode 100644 MP_Data/pose1/13/10.npy create mode 100644 MP_Data/pose1/13/11.npy create mode 100644 MP_Data/pose1/13/12.npy create mode 100644 MP_Data/pose1/13/13.npy create mode 100644 MP_Data/pose1/13/14.npy create mode 100644 MP_Data/pose1/13/15.npy create mode 100644 MP_Data/pose1/13/16.npy create mode 100644 MP_Data/pose1/13/17.npy create mode 100644 MP_Data/pose1/13/18.npy create mode 100644 MP_Data/pose1/13/19.npy create mode 100644 MP_Data/pose1/13/2.npy create mode 100644 MP_Data/pose1/13/20.npy create mode 100644 MP_Data/pose1/13/21.npy create mode 100644 MP_Data/pose1/13/22.npy create mode 100644 MP_Data/pose1/13/23.npy create mode 100644 MP_Data/pose1/13/24.npy create mode 100644 MP_Data/pose1/13/25.npy create mode 100644 MP_Data/pose1/13/26.npy create mode 100644 MP_Data/pose1/13/27.npy create mode 100644 MP_Data/pose1/13/28.npy create mode 100644 MP_Data/pose1/13/29.npy create mode 100644 MP_Data/pose1/13/3.npy create mode 100644 MP_Data/pose1/13/4.npy create mode 100644 MP_Data/pose1/13/5.npy create mode 100644 MP_Data/pose1/13/6.npy create mode 100644 MP_Data/pose1/13/7.npy create mode 100644 MP_Data/pose1/13/8.npy create mode 100644 MP_Data/pose1/13/9.npy create mode 100644 MP_Data/pose1/14/0.npy create mode 100644 MP_Data/pose1/14/1.npy create mode 100644 MP_Data/pose1/14/10.npy create mode 100644 MP_Data/pose1/14/11.npy create mode 100644 MP_Data/pose1/14/12.npy create mode 100644 MP_Data/pose1/14/13.npy create mode 100644 MP_Data/pose1/14/14.npy create mode 100644 MP_Data/pose1/14/15.npy create mode 100644 MP_Data/pose1/14/16.npy create mode 100644 MP_Data/pose1/14/17.npy create mode 100644 MP_Data/pose1/14/18.npy create mode 100644 MP_Data/pose1/14/19.npy create mode 100644 MP_Data/pose1/14/2.npy create mode 100644 MP_Data/pose1/14/20.npy create mode 100644 MP_Data/pose1/14/21.npy create mode 100644 MP_Data/pose1/14/22.npy create mode 100644 MP_Data/pose1/14/23.npy create mode 100644 MP_Data/pose1/14/24.npy create mode 100644 MP_Data/pose1/14/25.npy create mode 100644 MP_Data/pose1/14/26.npy create mode 100644 MP_Data/pose1/14/27.npy create mode 100644 MP_Data/pose1/14/28.npy create mode 100644 MP_Data/pose1/14/29.npy create mode 100644 MP_Data/pose1/14/3.npy create mode 100644 MP_Data/pose1/14/4.npy create mode 100644 MP_Data/pose1/14/5.npy create mode 100644 MP_Data/pose1/14/6.npy create mode 100644 MP_Data/pose1/14/7.npy create mode 100644 MP_Data/pose1/14/8.npy create mode 100644 MP_Data/pose1/14/9.npy create mode 100644 MP_Data/pose1/15/0.npy create mode 100644 MP_Data/pose1/15/1.npy create mode 100644 MP_Data/pose1/15/10.npy create mode 100644 MP_Data/pose1/15/11.npy create mode 100644 MP_Data/pose1/15/12.npy create mode 100644 MP_Data/pose1/15/13.npy create mode 100644 MP_Data/pose1/15/14.npy create mode 100644 MP_Data/pose1/15/15.npy create mode 100644 MP_Data/pose1/15/16.npy create mode 100644 MP_Data/pose1/15/17.npy create mode 100644 MP_Data/pose1/15/18.npy create mode 100644 MP_Data/pose1/15/19.npy create mode 100644 MP_Data/pose1/15/2.npy create mode 100644 MP_Data/pose1/15/20.npy create mode 100644 MP_Data/pose1/15/21.npy create mode 100644 MP_Data/pose1/15/22.npy create mode 100644 MP_Data/pose1/15/23.npy create mode 100644 MP_Data/pose1/15/24.npy create mode 100644 MP_Data/pose1/15/25.npy create mode 100644 MP_Data/pose1/15/26.npy create mode 100644 MP_Data/pose1/15/27.npy create mode 100644 MP_Data/pose1/15/28.npy create mode 100644 MP_Data/pose1/15/29.npy create mode 100644 MP_Data/pose1/15/3.npy create mode 100644 MP_Data/pose1/15/4.npy create mode 100644 MP_Data/pose1/15/5.npy create mode 100644 MP_Data/pose1/15/6.npy create mode 100644 MP_Data/pose1/15/7.npy create mode 100644 MP_Data/pose1/15/8.npy create mode 100644 MP_Data/pose1/15/9.npy create mode 100644 MP_Data/pose1/16/0.npy create mode 100644 MP_Data/pose1/16/1.npy create mode 100644 MP_Data/pose1/16/10.npy create mode 100644 MP_Data/pose1/16/11.npy create mode 100644 MP_Data/pose1/16/12.npy create mode 100644 MP_Data/pose1/16/13.npy create mode 100644 MP_Data/pose1/16/14.npy create mode 100644 MP_Data/pose1/16/15.npy create mode 100644 MP_Data/pose1/16/16.npy create mode 100644 MP_Data/pose1/16/17.npy create mode 100644 MP_Data/pose1/16/18.npy create mode 100644 MP_Data/pose1/16/19.npy create mode 100644 MP_Data/pose1/16/2.npy create mode 100644 MP_Data/pose1/16/20.npy create mode 100644 MP_Data/pose1/16/21.npy create mode 100644 MP_Data/pose1/16/22.npy create mode 100644 MP_Data/pose1/16/23.npy create mode 100644 MP_Data/pose1/16/24.npy create mode 100644 MP_Data/pose1/16/25.npy create mode 100644 MP_Data/pose1/16/26.npy create mode 100644 MP_Data/pose1/16/27.npy create mode 100644 MP_Data/pose1/16/28.npy create mode 100644 MP_Data/pose1/16/29.npy create mode 100644 MP_Data/pose1/16/3.npy create mode 100644 MP_Data/pose1/16/4.npy create mode 100644 MP_Data/pose1/16/5.npy create mode 100644 MP_Data/pose1/16/6.npy create mode 100644 MP_Data/pose1/16/7.npy create mode 100644 MP_Data/pose1/16/8.npy create mode 100644 MP_Data/pose1/16/9.npy create mode 100644 MP_Data/pose1/17/0.npy create mode 100644 MP_Data/pose1/17/1.npy create mode 100644 MP_Data/pose1/17/10.npy create mode 100644 MP_Data/pose1/17/11.npy create mode 100644 MP_Data/pose1/17/12.npy create mode 100644 MP_Data/pose1/17/13.npy create mode 100644 MP_Data/pose1/17/14.npy create mode 100644 MP_Data/pose1/17/15.npy create mode 100644 MP_Data/pose1/17/16.npy create mode 100644 MP_Data/pose1/17/17.npy create mode 100644 MP_Data/pose1/17/18.npy create mode 100644 MP_Data/pose1/17/19.npy create mode 100644 MP_Data/pose1/17/2.npy create mode 100644 MP_Data/pose1/17/20.npy create mode 100644 MP_Data/pose1/17/21.npy create mode 100644 MP_Data/pose1/17/22.npy create mode 100644 MP_Data/pose1/17/23.npy create mode 100644 MP_Data/pose1/17/24.npy create mode 100644 MP_Data/pose1/17/25.npy create mode 100644 MP_Data/pose1/17/26.npy create mode 100644 MP_Data/pose1/17/27.npy create mode 100644 MP_Data/pose1/17/28.npy create mode 100644 MP_Data/pose1/17/29.npy create mode 100644 MP_Data/pose1/17/3.npy create mode 100644 MP_Data/pose1/17/4.npy create mode 100644 MP_Data/pose1/17/5.npy create mode 100644 MP_Data/pose1/17/6.npy create mode 100644 MP_Data/pose1/17/7.npy create mode 100644 MP_Data/pose1/17/8.npy create mode 100644 MP_Data/pose1/17/9.npy create mode 100644 MP_Data/pose1/18/0.npy create mode 100644 MP_Data/pose1/18/1.npy create mode 100644 MP_Data/pose1/18/10.npy create mode 100644 MP_Data/pose1/18/11.npy create mode 100644 MP_Data/pose1/18/12.npy create mode 100644 MP_Data/pose1/18/13.npy create mode 100644 MP_Data/pose1/18/14.npy create mode 100644 MP_Data/pose1/18/15.npy create mode 100644 MP_Data/pose1/18/16.npy create mode 100644 MP_Data/pose1/18/17.npy create mode 100644 MP_Data/pose1/18/18.npy create mode 100644 MP_Data/pose1/18/19.npy create mode 100644 MP_Data/pose1/18/2.npy create mode 100644 MP_Data/pose1/18/20.npy create mode 100644 MP_Data/pose1/18/21.npy create mode 100644 MP_Data/pose1/18/22.npy create mode 100644 MP_Data/pose1/18/23.npy create mode 100644 MP_Data/pose1/18/24.npy create mode 100644 MP_Data/pose1/18/25.npy create mode 100644 MP_Data/pose1/18/26.npy create mode 100644 MP_Data/pose1/18/27.npy create mode 100644 MP_Data/pose1/18/28.npy create mode 100644 MP_Data/pose1/18/29.npy create mode 100644 MP_Data/pose1/18/3.npy create mode 100644 MP_Data/pose1/18/4.npy create mode 100644 MP_Data/pose1/18/5.npy create mode 100644 MP_Data/pose1/18/6.npy create mode 100644 MP_Data/pose1/18/7.npy create mode 100644 MP_Data/pose1/18/8.npy create mode 100644 MP_Data/pose1/18/9.npy create mode 100644 MP_Data/pose1/19/0.npy create mode 100644 MP_Data/pose1/19/1.npy create mode 100644 MP_Data/pose1/19/10.npy create mode 100644 MP_Data/pose1/19/11.npy create mode 100644 MP_Data/pose1/19/12.npy create mode 100644 MP_Data/pose1/19/13.npy create mode 100644 MP_Data/pose1/19/14.npy create mode 100644 MP_Data/pose1/19/15.npy create mode 100644 MP_Data/pose1/19/16.npy create mode 100644 MP_Data/pose1/19/17.npy create mode 100644 MP_Data/pose1/19/18.npy create mode 100644 MP_Data/pose1/19/19.npy create mode 100644 MP_Data/pose1/19/2.npy create mode 100644 MP_Data/pose1/19/20.npy create mode 100644 MP_Data/pose1/19/21.npy create mode 100644 MP_Data/pose1/19/22.npy create mode 100644 MP_Data/pose1/19/23.npy create mode 100644 MP_Data/pose1/19/24.npy create mode 100644 MP_Data/pose1/19/25.npy create mode 100644 MP_Data/pose1/19/26.npy create mode 100644 MP_Data/pose1/19/27.npy create mode 100644 MP_Data/pose1/19/28.npy create mode 100644 MP_Data/pose1/19/29.npy create mode 100644 MP_Data/pose1/19/3.npy create mode 100644 MP_Data/pose1/19/4.npy create mode 100644 MP_Data/pose1/19/5.npy create mode 100644 MP_Data/pose1/19/6.npy create mode 100644 MP_Data/pose1/19/7.npy create mode 100644 MP_Data/pose1/19/8.npy create mode 100644 MP_Data/pose1/19/9.npy create mode 100644 MP_Data/pose1/2/0.npy create mode 100644 MP_Data/pose1/2/1.npy create mode 100644 MP_Data/pose1/2/10.npy create mode 100644 MP_Data/pose1/2/11.npy create mode 100644 MP_Data/pose1/2/12.npy create mode 100644 MP_Data/pose1/2/13.npy create mode 100644 MP_Data/pose1/2/14.npy create mode 100644 MP_Data/pose1/2/15.npy create mode 100644 MP_Data/pose1/2/16.npy create mode 100644 MP_Data/pose1/2/17.npy create mode 100644 MP_Data/pose1/2/18.npy create mode 100644 MP_Data/pose1/2/19.npy create mode 100644 MP_Data/pose1/2/2.npy create mode 100644 MP_Data/pose1/2/20.npy create mode 100644 MP_Data/pose1/2/21.npy create mode 100644 MP_Data/pose1/2/22.npy create mode 100644 MP_Data/pose1/2/23.npy create mode 100644 MP_Data/pose1/2/24.npy create mode 100644 MP_Data/pose1/2/25.npy create mode 100644 MP_Data/pose1/2/26.npy create mode 100644 MP_Data/pose1/2/27.npy create mode 100644 MP_Data/pose1/2/28.npy create mode 100644 MP_Data/pose1/2/29.npy create mode 100644 MP_Data/pose1/2/3.npy create mode 100644 MP_Data/pose1/2/4.npy create mode 100644 MP_Data/pose1/2/5.npy create mode 100644 MP_Data/pose1/2/6.npy create mode 100644 MP_Data/pose1/2/7.npy create mode 100644 MP_Data/pose1/2/8.npy create mode 100644 MP_Data/pose1/2/9.npy create mode 100644 MP_Data/pose1/20/0.npy create mode 100644 MP_Data/pose1/20/1.npy create mode 100644 MP_Data/pose1/20/10.npy create mode 100644 MP_Data/pose1/20/11.npy create mode 100644 MP_Data/pose1/20/12.npy create mode 100644 MP_Data/pose1/20/13.npy create mode 100644 MP_Data/pose1/20/14.npy create mode 100644 MP_Data/pose1/20/15.npy create mode 100644 MP_Data/pose1/20/16.npy create mode 100644 MP_Data/pose1/20/17.npy create mode 100644 MP_Data/pose1/20/18.npy create mode 100644 MP_Data/pose1/20/19.npy create mode 100644 MP_Data/pose1/20/2.npy create mode 100644 MP_Data/pose1/20/20.npy create mode 100644 MP_Data/pose1/20/21.npy create mode 100644 MP_Data/pose1/20/22.npy create mode 100644 MP_Data/pose1/20/23.npy create mode 100644 MP_Data/pose1/20/24.npy create mode 100644 MP_Data/pose1/20/25.npy create mode 100644 MP_Data/pose1/20/26.npy create mode 100644 MP_Data/pose1/20/27.npy create mode 100644 MP_Data/pose1/20/28.npy create mode 100644 MP_Data/pose1/20/29.npy create mode 100644 MP_Data/pose1/20/3.npy create mode 100644 MP_Data/pose1/20/4.npy create mode 100644 MP_Data/pose1/20/5.npy create mode 100644 MP_Data/pose1/20/6.npy create mode 100644 MP_Data/pose1/20/7.npy create mode 100644 MP_Data/pose1/20/8.npy create mode 100644 MP_Data/pose1/20/9.npy create mode 100644 MP_Data/pose1/21/0.npy create mode 100644 MP_Data/pose1/21/1.npy create mode 100644 MP_Data/pose1/21/10.npy create mode 100644 MP_Data/pose1/21/11.npy create mode 100644 MP_Data/pose1/21/12.npy create mode 100644 MP_Data/pose1/21/13.npy create mode 100644 MP_Data/pose1/21/14.npy create mode 100644 MP_Data/pose1/21/15.npy create mode 100644 MP_Data/pose1/21/16.npy create mode 100644 MP_Data/pose1/21/17.npy create mode 100644 MP_Data/pose1/21/18.npy create mode 100644 MP_Data/pose1/21/19.npy create mode 100644 MP_Data/pose1/21/2.npy create mode 100644 MP_Data/pose1/21/20.npy create mode 100644 MP_Data/pose1/21/21.npy create mode 100644 MP_Data/pose1/21/22.npy create mode 100644 MP_Data/pose1/21/23.npy create mode 100644 MP_Data/pose1/21/24.npy create mode 100644 MP_Data/pose1/21/25.npy create mode 100644 MP_Data/pose1/21/26.npy create mode 100644 MP_Data/pose1/21/27.npy create mode 100644 MP_Data/pose1/21/28.npy create mode 100644 MP_Data/pose1/21/29.npy create mode 100644 MP_Data/pose1/21/3.npy create mode 100644 MP_Data/pose1/21/4.npy create mode 100644 MP_Data/pose1/21/5.npy create mode 100644 MP_Data/pose1/21/6.npy create mode 100644 MP_Data/pose1/21/7.npy create mode 100644 MP_Data/pose1/21/8.npy create mode 100644 MP_Data/pose1/21/9.npy create mode 100644 MP_Data/pose1/22/0.npy create mode 100644 MP_Data/pose1/22/1.npy create mode 100644 MP_Data/pose1/22/10.npy create mode 100644 MP_Data/pose1/22/11.npy create mode 100644 MP_Data/pose1/22/12.npy create mode 100644 MP_Data/pose1/22/13.npy create mode 100644 MP_Data/pose1/22/14.npy create mode 100644 MP_Data/pose1/22/15.npy create mode 100644 MP_Data/pose1/22/16.npy create mode 100644 MP_Data/pose1/22/17.npy create mode 100644 MP_Data/pose1/22/18.npy create mode 100644 MP_Data/pose1/22/19.npy create mode 100644 MP_Data/pose1/22/2.npy create mode 100644 MP_Data/pose1/22/20.npy create mode 100644 MP_Data/pose1/22/21.npy create mode 100644 MP_Data/pose1/22/22.npy create mode 100644 MP_Data/pose1/22/23.npy create mode 100644 MP_Data/pose1/22/24.npy create mode 100644 MP_Data/pose1/22/25.npy create mode 100644 MP_Data/pose1/22/26.npy create mode 100644 MP_Data/pose1/22/27.npy create mode 100644 MP_Data/pose1/22/28.npy create mode 100644 MP_Data/pose1/22/29.npy create mode 100644 MP_Data/pose1/22/3.npy create mode 100644 MP_Data/pose1/22/4.npy create mode 100644 MP_Data/pose1/22/5.npy create mode 100644 MP_Data/pose1/22/6.npy create mode 100644 MP_Data/pose1/22/7.npy create mode 100644 MP_Data/pose1/22/8.npy create mode 100644 MP_Data/pose1/22/9.npy create mode 100644 MP_Data/pose1/23/0.npy create mode 100644 MP_Data/pose1/23/1.npy create mode 100644 MP_Data/pose1/23/10.npy create mode 100644 MP_Data/pose1/23/11.npy create mode 100644 MP_Data/pose1/23/12.npy create mode 100644 MP_Data/pose1/23/13.npy create mode 100644 MP_Data/pose1/23/14.npy create mode 100644 MP_Data/pose1/23/15.npy create mode 100644 MP_Data/pose1/23/16.npy create mode 100644 MP_Data/pose1/23/17.npy create mode 100644 MP_Data/pose1/23/18.npy create mode 100644 MP_Data/pose1/23/19.npy create mode 100644 MP_Data/pose1/23/2.npy create mode 100644 MP_Data/pose1/23/20.npy create mode 100644 MP_Data/pose1/23/21.npy create mode 100644 MP_Data/pose1/23/22.npy create mode 100644 MP_Data/pose1/23/23.npy create mode 100644 MP_Data/pose1/23/24.npy create mode 100644 MP_Data/pose1/23/25.npy create mode 100644 MP_Data/pose1/23/26.npy create mode 100644 MP_Data/pose1/23/27.npy create mode 100644 MP_Data/pose1/23/28.npy create mode 100644 MP_Data/pose1/23/29.npy create mode 100644 MP_Data/pose1/23/3.npy create mode 100644 MP_Data/pose1/23/4.npy create mode 100644 MP_Data/pose1/23/5.npy create mode 100644 MP_Data/pose1/23/6.npy create mode 100644 MP_Data/pose1/23/7.npy create mode 100644 MP_Data/pose1/23/8.npy create mode 100644 MP_Data/pose1/23/9.npy create mode 100644 MP_Data/pose1/24/0.npy create mode 100644 MP_Data/pose1/24/1.npy create mode 100644 MP_Data/pose1/24/10.npy create mode 100644 MP_Data/pose1/24/11.npy create mode 100644 MP_Data/pose1/24/12.npy create mode 100644 MP_Data/pose1/24/13.npy create mode 100644 MP_Data/pose1/24/14.npy create mode 100644 MP_Data/pose1/24/15.npy create mode 100644 MP_Data/pose1/24/16.npy create mode 100644 MP_Data/pose1/24/17.npy create mode 100644 MP_Data/pose1/24/18.npy create mode 100644 MP_Data/pose1/24/19.npy create mode 100644 MP_Data/pose1/24/2.npy create mode 100644 MP_Data/pose1/24/20.npy create mode 100644 MP_Data/pose1/24/21.npy create mode 100644 MP_Data/pose1/24/22.npy create mode 100644 MP_Data/pose1/24/23.npy create mode 100644 MP_Data/pose1/24/24.npy create mode 100644 MP_Data/pose1/24/25.npy create mode 100644 MP_Data/pose1/24/26.npy create mode 100644 MP_Data/pose1/24/27.npy create mode 100644 MP_Data/pose1/24/28.npy create mode 100644 MP_Data/pose1/24/29.npy create mode 100644 MP_Data/pose1/24/3.npy create mode 100644 MP_Data/pose1/24/4.npy create mode 100644 MP_Data/pose1/24/5.npy create mode 100644 MP_Data/pose1/24/6.npy create mode 100644 MP_Data/pose1/24/7.npy create mode 100644 MP_Data/pose1/24/8.npy create mode 100644 MP_Data/pose1/24/9.npy create mode 100644 MP_Data/pose1/25/0.npy create mode 100644 MP_Data/pose1/25/1.npy create mode 100644 MP_Data/pose1/25/10.npy create mode 100644 MP_Data/pose1/25/11.npy create mode 100644 MP_Data/pose1/25/12.npy create mode 100644 MP_Data/pose1/25/13.npy create mode 100644 MP_Data/pose1/25/14.npy create mode 100644 MP_Data/pose1/25/15.npy create mode 100644 MP_Data/pose1/25/16.npy create mode 100644 MP_Data/pose1/25/17.npy create mode 100644 MP_Data/pose1/25/18.npy create mode 100644 MP_Data/pose1/25/19.npy create mode 100644 MP_Data/pose1/25/2.npy create mode 100644 MP_Data/pose1/25/20.npy create mode 100644 MP_Data/pose1/25/21.npy create mode 100644 MP_Data/pose1/25/22.npy create mode 100644 MP_Data/pose1/25/23.npy create mode 100644 MP_Data/pose1/25/24.npy create mode 100644 MP_Data/pose1/25/25.npy create mode 100644 MP_Data/pose1/25/26.npy create mode 100644 MP_Data/pose1/25/27.npy create mode 100644 MP_Data/pose1/25/28.npy create mode 100644 MP_Data/pose1/25/29.npy create mode 100644 MP_Data/pose1/25/3.npy create mode 100644 MP_Data/pose1/25/4.npy create mode 100644 MP_Data/pose1/25/5.npy create mode 100644 MP_Data/pose1/25/6.npy create mode 100644 MP_Data/pose1/25/7.npy create mode 100644 MP_Data/pose1/25/8.npy create mode 100644 MP_Data/pose1/25/9.npy create mode 100644 MP_Data/pose1/26/0.npy create mode 100644 MP_Data/pose1/26/1.npy create mode 100644 MP_Data/pose1/26/10.npy create mode 100644 MP_Data/pose1/26/11.npy create mode 100644 MP_Data/pose1/26/12.npy create mode 100644 MP_Data/pose1/26/13.npy create mode 100644 MP_Data/pose1/26/14.npy create mode 100644 MP_Data/pose1/26/15.npy create mode 100644 MP_Data/pose1/26/16.npy create mode 100644 MP_Data/pose1/26/17.npy create mode 100644 MP_Data/pose1/26/18.npy create mode 100644 MP_Data/pose1/26/19.npy create mode 100644 MP_Data/pose1/26/2.npy create mode 100644 MP_Data/pose1/26/20.npy create mode 100644 MP_Data/pose1/26/21.npy create mode 100644 MP_Data/pose1/26/22.npy create mode 100644 MP_Data/pose1/26/23.npy create mode 100644 MP_Data/pose1/26/24.npy create mode 100644 MP_Data/pose1/26/25.npy create mode 100644 MP_Data/pose1/26/26.npy create mode 100644 MP_Data/pose1/26/27.npy create mode 100644 MP_Data/pose1/26/28.npy create mode 100644 MP_Data/pose1/26/29.npy create mode 100644 MP_Data/pose1/26/3.npy create mode 100644 MP_Data/pose1/26/4.npy create mode 100644 MP_Data/pose1/26/5.npy create mode 100644 MP_Data/pose1/26/6.npy create mode 100644 MP_Data/pose1/26/7.npy create mode 100644 MP_Data/pose1/26/8.npy create mode 100644 MP_Data/pose1/26/9.npy create mode 100644 MP_Data/pose1/27/0.npy create mode 100644 MP_Data/pose1/27/1.npy create mode 100644 MP_Data/pose1/27/10.npy create mode 100644 MP_Data/pose1/27/11.npy create mode 100644 MP_Data/pose1/27/12.npy create mode 100644 MP_Data/pose1/27/13.npy create mode 100644 MP_Data/pose1/27/14.npy create mode 100644 MP_Data/pose1/27/15.npy create mode 100644 MP_Data/pose1/27/16.npy create mode 100644 MP_Data/pose1/27/17.npy create mode 100644 MP_Data/pose1/27/18.npy create mode 100644 MP_Data/pose1/27/19.npy create mode 100644 MP_Data/pose1/27/2.npy create mode 100644 MP_Data/pose1/27/20.npy create mode 100644 MP_Data/pose1/27/21.npy create mode 100644 MP_Data/pose1/27/22.npy create mode 100644 MP_Data/pose1/27/23.npy create mode 100644 MP_Data/pose1/27/24.npy create mode 100644 MP_Data/pose1/27/25.npy create mode 100644 MP_Data/pose1/27/26.npy create mode 100644 MP_Data/pose1/27/27.npy create mode 100644 MP_Data/pose1/27/28.npy create mode 100644 MP_Data/pose1/27/29.npy create mode 100644 MP_Data/pose1/27/3.npy create mode 100644 MP_Data/pose1/27/4.npy create mode 100644 MP_Data/pose1/27/5.npy create mode 100644 MP_Data/pose1/27/6.npy create mode 100644 MP_Data/pose1/27/7.npy create mode 100644 MP_Data/pose1/27/8.npy create mode 100644 MP_Data/pose1/27/9.npy create mode 100644 MP_Data/pose1/28/0.npy create mode 100644 MP_Data/pose1/28/1.npy create mode 100644 MP_Data/pose1/28/10.npy create mode 100644 MP_Data/pose1/28/11.npy create mode 100644 MP_Data/pose1/28/12.npy create mode 100644 MP_Data/pose1/28/13.npy create mode 100644 MP_Data/pose1/28/14.npy create mode 100644 MP_Data/pose1/28/15.npy create mode 100644 MP_Data/pose1/28/16.npy create mode 100644 MP_Data/pose1/28/17.npy create mode 100644 MP_Data/pose1/28/18.npy create mode 100644 MP_Data/pose1/28/19.npy create mode 100644 MP_Data/pose1/28/2.npy create mode 100644 MP_Data/pose1/28/20.npy create mode 100644 MP_Data/pose1/28/21.npy create mode 100644 MP_Data/pose1/28/22.npy create mode 100644 MP_Data/pose1/28/23.npy create mode 100644 MP_Data/pose1/28/24.npy create mode 100644 MP_Data/pose1/28/25.npy create mode 100644 MP_Data/pose1/28/26.npy create mode 100644 MP_Data/pose1/28/27.npy create mode 100644 MP_Data/pose1/28/28.npy create mode 100644 MP_Data/pose1/28/29.npy create mode 100644 MP_Data/pose1/28/3.npy create mode 100644 MP_Data/pose1/28/4.npy create mode 100644 MP_Data/pose1/28/5.npy create mode 100644 MP_Data/pose1/28/6.npy create mode 100644 MP_Data/pose1/28/7.npy create mode 100644 MP_Data/pose1/28/8.npy create mode 100644 MP_Data/pose1/28/9.npy create mode 100644 MP_Data/pose1/29/0.npy create mode 100644 MP_Data/pose1/29/1.npy create mode 100644 MP_Data/pose1/29/10.npy create mode 100644 MP_Data/pose1/29/11.npy create mode 100644 MP_Data/pose1/29/12.npy create mode 100644 MP_Data/pose1/29/13.npy create mode 100644 MP_Data/pose1/29/14.npy create mode 100644 MP_Data/pose1/29/15.npy create mode 100644 MP_Data/pose1/29/16.npy create mode 100644 MP_Data/pose1/29/17.npy create mode 100644 MP_Data/pose1/29/18.npy create mode 100644 MP_Data/pose1/29/19.npy create mode 100644 MP_Data/pose1/29/2.npy create mode 100644 MP_Data/pose1/29/20.npy create mode 100644 MP_Data/pose1/29/21.npy create mode 100644 MP_Data/pose1/29/22.npy create mode 100644 MP_Data/pose1/29/23.npy create mode 100644 MP_Data/pose1/29/24.npy create mode 100644 MP_Data/pose1/29/25.npy create mode 100644 MP_Data/pose1/29/26.npy create mode 100644 MP_Data/pose1/29/27.npy create mode 100644 MP_Data/pose1/29/28.npy create mode 100644 MP_Data/pose1/29/29.npy create mode 100644 MP_Data/pose1/29/3.npy create mode 100644 MP_Data/pose1/29/4.npy create mode 100644 MP_Data/pose1/29/5.npy create mode 100644 MP_Data/pose1/29/6.npy create mode 100644 MP_Data/pose1/29/7.npy create mode 100644 MP_Data/pose1/29/8.npy create mode 100644 MP_Data/pose1/29/9.npy create mode 100644 MP_Data/pose1/3/0.npy create mode 100644 MP_Data/pose1/3/1.npy create mode 100644 MP_Data/pose1/3/10.npy create mode 100644 MP_Data/pose1/3/11.npy create mode 100644 MP_Data/pose1/3/12.npy create mode 100644 MP_Data/pose1/3/13.npy create mode 100644 MP_Data/pose1/3/14.npy create mode 100644 MP_Data/pose1/3/15.npy create mode 100644 MP_Data/pose1/3/16.npy create mode 100644 MP_Data/pose1/3/17.npy create mode 100644 MP_Data/pose1/3/18.npy create mode 100644 MP_Data/pose1/3/19.npy create mode 100644 MP_Data/pose1/3/2.npy create mode 100644 MP_Data/pose1/3/20.npy create mode 100644 MP_Data/pose1/3/21.npy create mode 100644 MP_Data/pose1/3/22.npy create mode 100644 MP_Data/pose1/3/23.npy create mode 100644 MP_Data/pose1/3/24.npy create mode 100644 MP_Data/pose1/3/25.npy create mode 100644 MP_Data/pose1/3/26.npy create mode 100644 MP_Data/pose1/3/27.npy create mode 100644 MP_Data/pose1/3/28.npy create mode 100644 MP_Data/pose1/3/29.npy create mode 100644 MP_Data/pose1/3/3.npy create mode 100644 MP_Data/pose1/3/4.npy create mode 100644 MP_Data/pose1/3/5.npy create mode 100644 MP_Data/pose1/3/6.npy create mode 100644 MP_Data/pose1/3/7.npy create mode 100644 MP_Data/pose1/3/8.npy create mode 100644 MP_Data/pose1/3/9.npy create mode 100644 MP_Data/pose1/4/0.npy create mode 100644 MP_Data/pose1/4/1.npy create mode 100644 MP_Data/pose1/4/10.npy create mode 100644 MP_Data/pose1/4/11.npy create mode 100644 MP_Data/pose1/4/12.npy create mode 100644 MP_Data/pose1/4/13.npy create mode 100644 MP_Data/pose1/4/14.npy create mode 100644 MP_Data/pose1/4/15.npy create mode 100644 MP_Data/pose1/4/16.npy create mode 100644 MP_Data/pose1/4/17.npy create mode 100644 MP_Data/pose1/4/18.npy create mode 100644 MP_Data/pose1/4/19.npy create mode 100644 MP_Data/pose1/4/2.npy create mode 100644 MP_Data/pose1/4/20.npy create mode 100644 MP_Data/pose1/4/21.npy create mode 100644 MP_Data/pose1/4/22.npy create mode 100644 MP_Data/pose1/4/23.npy create mode 100644 MP_Data/pose1/4/24.npy create mode 100644 MP_Data/pose1/4/25.npy create mode 100644 MP_Data/pose1/4/26.npy create mode 100644 MP_Data/pose1/4/27.npy create mode 100644 MP_Data/pose1/4/28.npy create mode 100644 MP_Data/pose1/4/29.npy create mode 100644 MP_Data/pose1/4/3.npy create mode 100644 MP_Data/pose1/4/4.npy create mode 100644 MP_Data/pose1/4/5.npy create mode 100644 MP_Data/pose1/4/6.npy create mode 100644 MP_Data/pose1/4/7.npy create mode 100644 MP_Data/pose1/4/8.npy create mode 100644 MP_Data/pose1/4/9.npy create mode 100644 MP_Data/pose1/5/0.npy create mode 100644 MP_Data/pose1/5/1.npy create mode 100644 MP_Data/pose1/5/10.npy create mode 100644 MP_Data/pose1/5/11.npy create mode 100644 MP_Data/pose1/5/12.npy create mode 100644 MP_Data/pose1/5/13.npy create mode 100644 MP_Data/pose1/5/14.npy create mode 100644 MP_Data/pose1/5/15.npy create mode 100644 MP_Data/pose1/5/16.npy create mode 100644 MP_Data/pose1/5/17.npy create mode 100644 MP_Data/pose1/5/18.npy create mode 100644 MP_Data/pose1/5/19.npy create mode 100644 MP_Data/pose1/5/2.npy create mode 100644 MP_Data/pose1/5/20.npy create mode 100644 MP_Data/pose1/5/21.npy create mode 100644 MP_Data/pose1/5/22.npy create mode 100644 MP_Data/pose1/5/23.npy create mode 100644 MP_Data/pose1/5/24.npy create mode 100644 MP_Data/pose1/5/25.npy create mode 100644 MP_Data/pose1/5/26.npy create mode 100644 MP_Data/pose1/5/27.npy create mode 100644 MP_Data/pose1/5/28.npy create mode 100644 MP_Data/pose1/5/29.npy create mode 100644 MP_Data/pose1/5/3.npy create mode 100644 MP_Data/pose1/5/4.npy create mode 100644 MP_Data/pose1/5/5.npy create mode 100644 MP_Data/pose1/5/6.npy create mode 100644 MP_Data/pose1/5/7.npy create mode 100644 MP_Data/pose1/5/8.npy create mode 100644 MP_Data/pose1/5/9.npy create mode 100644 MP_Data/pose1/6/0.npy create mode 100644 MP_Data/pose1/6/1.npy create mode 100644 MP_Data/pose1/6/10.npy create mode 100644 MP_Data/pose1/6/11.npy create mode 100644 MP_Data/pose1/6/12.npy create mode 100644 MP_Data/pose1/6/13.npy create mode 100644 MP_Data/pose1/6/14.npy create mode 100644 MP_Data/pose1/6/15.npy create mode 100644 MP_Data/pose1/6/16.npy create mode 100644 MP_Data/pose1/6/17.npy create mode 100644 MP_Data/pose1/6/18.npy create mode 100644 MP_Data/pose1/6/19.npy create mode 100644 MP_Data/pose1/6/2.npy create mode 100644 MP_Data/pose1/6/20.npy create mode 100644 MP_Data/pose1/6/21.npy create mode 100644 MP_Data/pose1/6/22.npy create mode 100644 MP_Data/pose1/6/23.npy create mode 100644 MP_Data/pose1/6/24.npy create mode 100644 MP_Data/pose1/6/25.npy create mode 100644 MP_Data/pose1/6/26.npy create mode 100644 MP_Data/pose1/6/27.npy create mode 100644 MP_Data/pose1/6/28.npy create mode 100644 MP_Data/pose1/6/29.npy create mode 100644 MP_Data/pose1/6/3.npy create mode 100644 MP_Data/pose1/6/4.npy create mode 100644 MP_Data/pose1/6/5.npy create mode 100644 MP_Data/pose1/6/6.npy create mode 100644 MP_Data/pose1/6/7.npy create mode 100644 MP_Data/pose1/6/8.npy create mode 100644 MP_Data/pose1/6/9.npy create mode 100644 MP_Data/pose1/7/0.npy create mode 100644 MP_Data/pose1/7/1.npy create mode 100644 MP_Data/pose1/7/10.npy create mode 100644 MP_Data/pose1/7/11.npy create mode 100644 MP_Data/pose1/7/12.npy create mode 100644 MP_Data/pose1/7/13.npy create mode 100644 MP_Data/pose1/7/14.npy create mode 100644 MP_Data/pose1/7/15.npy create mode 100644 MP_Data/pose1/7/16.npy create mode 100644 MP_Data/pose1/7/17.npy create mode 100644 MP_Data/pose1/7/18.npy create mode 100644 MP_Data/pose1/7/19.npy create mode 100644 MP_Data/pose1/7/2.npy create mode 100644 MP_Data/pose1/7/20.npy create mode 100644 MP_Data/pose1/7/21.npy create mode 100644 MP_Data/pose1/7/22.npy create mode 100644 MP_Data/pose1/7/23.npy create mode 100644 MP_Data/pose1/7/24.npy create mode 100644 MP_Data/pose1/7/25.npy create mode 100644 MP_Data/pose1/7/26.npy create mode 100644 MP_Data/pose1/7/27.npy create mode 100644 MP_Data/pose1/7/28.npy create mode 100644 MP_Data/pose1/7/29.npy create mode 100644 MP_Data/pose1/7/3.npy create mode 100644 MP_Data/pose1/7/4.npy create mode 100644 MP_Data/pose1/7/5.npy create mode 100644 MP_Data/pose1/7/6.npy create mode 100644 MP_Data/pose1/7/7.npy create mode 100644 MP_Data/pose1/7/8.npy create mode 100644 MP_Data/pose1/7/9.npy create mode 100644 MP_Data/pose1/8/0.npy create mode 100644 MP_Data/pose1/8/1.npy create mode 100644 MP_Data/pose1/8/10.npy create mode 100644 MP_Data/pose1/8/11.npy create mode 100644 MP_Data/pose1/8/12.npy create mode 100644 MP_Data/pose1/8/13.npy create mode 100644 MP_Data/pose1/8/14.npy create mode 100644 MP_Data/pose1/8/15.npy create mode 100644 MP_Data/pose1/8/16.npy create mode 100644 MP_Data/pose1/8/17.npy create mode 100644 MP_Data/pose1/8/18.npy create mode 100644 MP_Data/pose1/8/19.npy create mode 100644 MP_Data/pose1/8/2.npy create mode 100644 MP_Data/pose1/8/20.npy create mode 100644 MP_Data/pose1/8/21.npy create mode 100644 MP_Data/pose1/8/22.npy create mode 100644 MP_Data/pose1/8/23.npy create mode 100644 MP_Data/pose1/8/24.npy create mode 100644 MP_Data/pose1/8/25.npy create mode 100644 MP_Data/pose1/8/26.npy create mode 100644 MP_Data/pose1/8/27.npy create mode 100644 MP_Data/pose1/8/28.npy create mode 100644 MP_Data/pose1/8/29.npy create mode 100644 MP_Data/pose1/8/3.npy create mode 100644 MP_Data/pose1/8/4.npy create mode 100644 MP_Data/pose1/8/5.npy create mode 100644 MP_Data/pose1/8/6.npy create mode 100644 MP_Data/pose1/8/7.npy create mode 100644 MP_Data/pose1/8/8.npy create mode 100644 MP_Data/pose1/8/9.npy create mode 100644 MP_Data/pose1/9/0.npy create mode 100644 MP_Data/pose1/9/1.npy create mode 100644 MP_Data/pose1/9/10.npy create mode 100644 MP_Data/pose1/9/11.npy create mode 100644 MP_Data/pose1/9/12.npy create mode 100644 MP_Data/pose1/9/13.npy create mode 100644 MP_Data/pose1/9/14.npy create mode 100644 MP_Data/pose1/9/15.npy create mode 100644 MP_Data/pose1/9/16.npy create mode 100644 MP_Data/pose1/9/17.npy create mode 100644 MP_Data/pose1/9/18.npy create mode 100644 MP_Data/pose1/9/19.npy create mode 100644 MP_Data/pose1/9/2.npy create mode 100644 MP_Data/pose1/9/20.npy create mode 100644 MP_Data/pose1/9/21.npy create mode 100644 MP_Data/pose1/9/22.npy create mode 100644 MP_Data/pose1/9/23.npy create mode 100644 MP_Data/pose1/9/24.npy create mode 100644 MP_Data/pose1/9/25.npy create mode 100644 MP_Data/pose1/9/26.npy create mode 100644 MP_Data/pose1/9/27.npy create mode 100644 MP_Data/pose1/9/28.npy create mode 100644 MP_Data/pose1/9/29.npy create mode 100644 MP_Data/pose1/9/3.npy create mode 100644 MP_Data/pose1/9/4.npy create mode 100644 MP_Data/pose1/9/5.npy create mode 100644 MP_Data/pose1/9/6.npy create mode 100644 MP_Data/pose1/9/7.npy create mode 100644 MP_Data/pose1/9/8.npy create mode 100644 MP_Data/pose1/9/9.npy create mode 100644 MP_Data/pose2/0/0.npy create mode 100644 MP_Data/pose2/0/1.npy create mode 100644 MP_Data/pose2/0/10.npy create mode 100644 MP_Data/pose2/0/11.npy create mode 100644 MP_Data/pose2/0/12.npy create mode 100644 MP_Data/pose2/0/13.npy create mode 100644 MP_Data/pose2/0/14.npy create mode 100644 MP_Data/pose2/0/15.npy create mode 100644 MP_Data/pose2/0/16.npy create mode 100644 MP_Data/pose2/0/17.npy create mode 100644 MP_Data/pose2/0/18.npy create mode 100644 MP_Data/pose2/0/19.npy create mode 100644 MP_Data/pose2/0/2.npy create mode 100644 MP_Data/pose2/0/20.npy create mode 100644 MP_Data/pose2/0/21.npy create mode 100644 MP_Data/pose2/0/22.npy create mode 100644 MP_Data/pose2/0/23.npy create mode 100644 MP_Data/pose2/0/24.npy create mode 100644 MP_Data/pose2/0/25.npy create mode 100644 MP_Data/pose2/0/26.npy create mode 100644 MP_Data/pose2/0/27.npy create mode 100644 MP_Data/pose2/0/28.npy create mode 100644 MP_Data/pose2/0/29.npy create mode 100644 MP_Data/pose2/0/3.npy create mode 100644 MP_Data/pose2/0/4.npy create mode 100644 MP_Data/pose2/0/5.npy create mode 100644 MP_Data/pose2/0/6.npy create mode 100644 MP_Data/pose2/0/7.npy create mode 100644 MP_Data/pose2/0/8.npy create mode 100644 MP_Data/pose2/0/9.npy create mode 100644 MP_Data/pose2/1/0.npy create mode 100644 MP_Data/pose2/1/1.npy create mode 100644 MP_Data/pose2/1/10.npy create mode 100644 MP_Data/pose2/1/11.npy create mode 100644 MP_Data/pose2/1/12.npy create mode 100644 MP_Data/pose2/1/13.npy create mode 100644 MP_Data/pose2/1/14.npy create mode 100644 MP_Data/pose2/1/15.npy create mode 100644 MP_Data/pose2/1/16.npy create mode 100644 MP_Data/pose2/1/17.npy create mode 100644 MP_Data/pose2/1/18.npy create mode 100644 MP_Data/pose2/1/19.npy create mode 100644 MP_Data/pose2/1/2.npy create mode 100644 MP_Data/pose2/1/20.npy create mode 100644 MP_Data/pose2/1/21.npy create mode 100644 MP_Data/pose2/1/22.npy create mode 100644 MP_Data/pose2/1/23.npy create mode 100644 MP_Data/pose2/1/24.npy create mode 100644 MP_Data/pose2/1/25.npy create mode 100644 MP_Data/pose2/1/26.npy create mode 100644 MP_Data/pose2/1/27.npy create mode 100644 MP_Data/pose2/1/28.npy create mode 100644 MP_Data/pose2/1/29.npy create mode 100644 MP_Data/pose2/1/3.npy create mode 100644 MP_Data/pose2/1/4.npy create mode 100644 MP_Data/pose2/1/5.npy create mode 100644 MP_Data/pose2/1/6.npy create mode 100644 MP_Data/pose2/1/7.npy create mode 100644 MP_Data/pose2/1/8.npy create mode 100644 MP_Data/pose2/1/9.npy create mode 100644 MP_Data/pose2/10/0.npy create mode 100644 MP_Data/pose2/10/1.npy create mode 100644 MP_Data/pose2/10/10.npy create mode 100644 MP_Data/pose2/10/11.npy create mode 100644 MP_Data/pose2/10/12.npy create mode 100644 MP_Data/pose2/10/13.npy create mode 100644 MP_Data/pose2/10/14.npy create mode 100644 MP_Data/pose2/10/15.npy create mode 100644 MP_Data/pose2/10/16.npy create mode 100644 MP_Data/pose2/10/17.npy create mode 100644 MP_Data/pose2/10/18.npy create mode 100644 MP_Data/pose2/10/19.npy create mode 100644 MP_Data/pose2/10/2.npy create mode 100644 MP_Data/pose2/10/20.npy create mode 100644 MP_Data/pose2/10/21.npy create mode 100644 MP_Data/pose2/10/22.npy create mode 100644 MP_Data/pose2/10/23.npy create mode 100644 MP_Data/pose2/10/24.npy create mode 100644 MP_Data/pose2/10/25.npy create mode 100644 MP_Data/pose2/10/26.npy create mode 100644 MP_Data/pose2/10/27.npy create mode 100644 MP_Data/pose2/10/28.npy create mode 100644 MP_Data/pose2/10/29.npy create mode 100644 MP_Data/pose2/10/3.npy create mode 100644 MP_Data/pose2/10/4.npy create mode 100644 MP_Data/pose2/10/5.npy create mode 100644 MP_Data/pose2/10/6.npy create mode 100644 MP_Data/pose2/10/7.npy create mode 100644 MP_Data/pose2/10/8.npy create mode 100644 MP_Data/pose2/10/9.npy create mode 100644 MP_Data/pose2/11/0.npy create mode 100644 MP_Data/pose2/11/1.npy create mode 100644 MP_Data/pose2/11/10.npy create mode 100644 MP_Data/pose2/11/11.npy create mode 100644 MP_Data/pose2/11/12.npy create mode 100644 MP_Data/pose2/11/13.npy create mode 100644 MP_Data/pose2/11/14.npy create mode 100644 MP_Data/pose2/11/15.npy create mode 100644 MP_Data/pose2/11/16.npy create mode 100644 MP_Data/pose2/11/17.npy create mode 100644 MP_Data/pose2/11/18.npy create mode 100644 MP_Data/pose2/11/19.npy create mode 100644 MP_Data/pose2/11/2.npy create mode 100644 MP_Data/pose2/11/20.npy create mode 100644 MP_Data/pose2/11/21.npy create mode 100644 MP_Data/pose2/11/22.npy create mode 100644 MP_Data/pose2/11/23.npy create mode 100644 MP_Data/pose2/11/24.npy create mode 100644 MP_Data/pose2/11/25.npy create mode 100644 MP_Data/pose2/11/26.npy create mode 100644 MP_Data/pose2/11/27.npy create mode 100644 MP_Data/pose2/11/28.npy create mode 100644 MP_Data/pose2/11/29.npy create mode 100644 MP_Data/pose2/11/3.npy create mode 100644 MP_Data/pose2/11/4.npy create mode 100644 MP_Data/pose2/11/5.npy create mode 100644 MP_Data/pose2/11/6.npy create mode 100644 MP_Data/pose2/11/7.npy create mode 100644 MP_Data/pose2/11/8.npy create mode 100644 MP_Data/pose2/11/9.npy create mode 100644 MP_Data/pose2/12/0.npy create mode 100644 MP_Data/pose2/12/1.npy create mode 100644 MP_Data/pose2/12/10.npy create mode 100644 MP_Data/pose2/12/11.npy create mode 100644 MP_Data/pose2/12/12.npy create mode 100644 MP_Data/pose2/12/13.npy create mode 100644 MP_Data/pose2/12/14.npy create mode 100644 MP_Data/pose2/12/15.npy create mode 100644 MP_Data/pose2/12/16.npy create mode 100644 MP_Data/pose2/12/17.npy create mode 100644 MP_Data/pose2/12/18.npy create mode 100644 MP_Data/pose2/12/19.npy create mode 100644 MP_Data/pose2/12/2.npy create mode 100644 MP_Data/pose2/12/20.npy create mode 100644 MP_Data/pose2/12/21.npy create mode 100644 MP_Data/pose2/12/22.npy create mode 100644 MP_Data/pose2/12/23.npy create mode 100644 MP_Data/pose2/12/24.npy create mode 100644 MP_Data/pose2/12/25.npy create mode 100644 MP_Data/pose2/12/26.npy create mode 100644 MP_Data/pose2/12/27.npy create mode 100644 MP_Data/pose2/12/28.npy create mode 100644 MP_Data/pose2/12/29.npy create mode 100644 MP_Data/pose2/12/3.npy create mode 100644 MP_Data/pose2/12/4.npy create mode 100644 MP_Data/pose2/12/5.npy create mode 100644 MP_Data/pose2/12/6.npy create mode 100644 MP_Data/pose2/12/7.npy create mode 100644 MP_Data/pose2/12/8.npy create mode 100644 MP_Data/pose2/12/9.npy create mode 100644 MP_Data/pose2/13/0.npy create mode 100644 MP_Data/pose2/13/1.npy create mode 100644 MP_Data/pose2/13/10.npy create mode 100644 MP_Data/pose2/13/11.npy create mode 100644 MP_Data/pose2/13/12.npy create mode 100644 MP_Data/pose2/13/13.npy create mode 100644 MP_Data/pose2/13/14.npy create mode 100644 MP_Data/pose2/13/15.npy create mode 100644 MP_Data/pose2/13/16.npy create mode 100644 MP_Data/pose2/13/17.npy create mode 100644 MP_Data/pose2/13/18.npy create mode 100644 MP_Data/pose2/13/19.npy create mode 100644 MP_Data/pose2/13/2.npy create mode 100644 MP_Data/pose2/13/20.npy create mode 100644 MP_Data/pose2/13/21.npy create mode 100644 MP_Data/pose2/13/22.npy create mode 100644 MP_Data/pose2/13/23.npy create mode 100644 MP_Data/pose2/13/24.npy create mode 100644 MP_Data/pose2/13/25.npy create mode 100644 MP_Data/pose2/13/26.npy create mode 100644 MP_Data/pose2/13/27.npy create mode 100644 MP_Data/pose2/13/28.npy create mode 100644 MP_Data/pose2/13/29.npy create mode 100644 MP_Data/pose2/13/3.npy create mode 100644 MP_Data/pose2/13/4.npy create mode 100644 MP_Data/pose2/13/5.npy create mode 100644 MP_Data/pose2/13/6.npy create mode 100644 MP_Data/pose2/13/7.npy create mode 100644 MP_Data/pose2/13/8.npy create mode 100644 MP_Data/pose2/13/9.npy create mode 100644 MP_Data/pose2/14/0.npy create mode 100644 MP_Data/pose2/14/1.npy create mode 100644 MP_Data/pose2/14/10.npy create mode 100644 MP_Data/pose2/14/11.npy create mode 100644 MP_Data/pose2/14/12.npy create mode 100644 MP_Data/pose2/14/13.npy create mode 100644 MP_Data/pose2/14/14.npy create mode 100644 MP_Data/pose2/14/15.npy create mode 100644 MP_Data/pose2/14/16.npy create mode 100644 MP_Data/pose2/14/17.npy create mode 100644 MP_Data/pose2/14/18.npy create mode 100644 MP_Data/pose2/14/19.npy create mode 100644 MP_Data/pose2/14/2.npy create mode 100644 MP_Data/pose2/14/20.npy create mode 100644 MP_Data/pose2/14/21.npy create mode 100644 MP_Data/pose2/14/22.npy create mode 100644 MP_Data/pose2/14/23.npy create mode 100644 MP_Data/pose2/14/24.npy create mode 100644 MP_Data/pose2/14/25.npy create mode 100644 MP_Data/pose2/14/26.npy create mode 100644 MP_Data/pose2/14/27.npy create mode 100644 MP_Data/pose2/14/28.npy create mode 100644 MP_Data/pose2/14/29.npy create mode 100644 MP_Data/pose2/14/3.npy create mode 100644 MP_Data/pose2/14/4.npy create mode 100644 MP_Data/pose2/14/5.npy create mode 100644 MP_Data/pose2/14/6.npy create mode 100644 MP_Data/pose2/14/7.npy create mode 100644 MP_Data/pose2/14/8.npy create mode 100644 MP_Data/pose2/14/9.npy create mode 100644 MP_Data/pose2/15/0.npy create mode 100644 MP_Data/pose2/15/1.npy create mode 100644 MP_Data/pose2/15/10.npy create mode 100644 MP_Data/pose2/15/11.npy create mode 100644 MP_Data/pose2/15/12.npy create mode 100644 MP_Data/pose2/15/13.npy create mode 100644 MP_Data/pose2/15/14.npy create mode 100644 MP_Data/pose2/15/15.npy create mode 100644 MP_Data/pose2/15/16.npy create mode 100644 MP_Data/pose2/15/17.npy create mode 100644 MP_Data/pose2/15/18.npy create mode 100644 MP_Data/pose2/15/19.npy create mode 100644 MP_Data/pose2/15/2.npy create mode 100644 MP_Data/pose2/15/20.npy create mode 100644 MP_Data/pose2/15/21.npy create mode 100644 MP_Data/pose2/15/22.npy create mode 100644 MP_Data/pose2/15/23.npy create mode 100644 MP_Data/pose2/15/24.npy create mode 100644 MP_Data/pose2/15/25.npy create mode 100644 MP_Data/pose2/15/26.npy create mode 100644 MP_Data/pose2/15/27.npy create mode 100644 MP_Data/pose2/15/28.npy create mode 100644 MP_Data/pose2/15/29.npy create mode 100644 MP_Data/pose2/15/3.npy create mode 100644 MP_Data/pose2/15/4.npy create mode 100644 MP_Data/pose2/15/5.npy create mode 100644 MP_Data/pose2/15/6.npy create mode 100644 MP_Data/pose2/15/7.npy create mode 100644 MP_Data/pose2/15/8.npy create mode 100644 MP_Data/pose2/15/9.npy create mode 100644 MP_Data/pose2/16/0.npy create mode 100644 MP_Data/pose2/16/1.npy create mode 100644 MP_Data/pose2/16/10.npy create mode 100644 MP_Data/pose2/16/11.npy create mode 100644 MP_Data/pose2/16/12.npy create mode 100644 MP_Data/pose2/16/13.npy create mode 100644 MP_Data/pose2/16/14.npy create mode 100644 MP_Data/pose2/16/15.npy create mode 100644 MP_Data/pose2/16/16.npy create mode 100644 MP_Data/pose2/16/17.npy create mode 100644 MP_Data/pose2/16/18.npy create mode 100644 MP_Data/pose2/16/19.npy create mode 100644 MP_Data/pose2/16/2.npy create mode 100644 MP_Data/pose2/16/20.npy create mode 100644 MP_Data/pose2/16/21.npy create mode 100644 MP_Data/pose2/16/22.npy create mode 100644 MP_Data/pose2/16/23.npy create mode 100644 MP_Data/pose2/16/24.npy create mode 100644 MP_Data/pose2/16/25.npy create mode 100644 MP_Data/pose2/16/26.npy create mode 100644 MP_Data/pose2/16/27.npy create mode 100644 MP_Data/pose2/16/28.npy create mode 100644 MP_Data/pose2/16/29.npy create mode 100644 MP_Data/pose2/16/3.npy create mode 100644 MP_Data/pose2/16/4.npy create mode 100644 MP_Data/pose2/16/5.npy create mode 100644 MP_Data/pose2/16/6.npy create mode 100644 MP_Data/pose2/16/7.npy create mode 100644 MP_Data/pose2/16/8.npy create mode 100644 MP_Data/pose2/16/9.npy create mode 100644 MP_Data/pose2/17/0.npy create mode 100644 MP_Data/pose2/17/1.npy create mode 100644 MP_Data/pose2/17/10.npy create mode 100644 MP_Data/pose2/17/11.npy create mode 100644 MP_Data/pose2/17/12.npy create mode 100644 MP_Data/pose2/17/13.npy create mode 100644 MP_Data/pose2/17/14.npy create mode 100644 MP_Data/pose2/17/15.npy create mode 100644 MP_Data/pose2/17/16.npy create mode 100644 MP_Data/pose2/17/17.npy create mode 100644 MP_Data/pose2/17/18.npy create mode 100644 MP_Data/pose2/17/19.npy create mode 100644 MP_Data/pose2/17/2.npy create mode 100644 MP_Data/pose2/17/20.npy create mode 100644 MP_Data/pose2/17/21.npy create mode 100644 MP_Data/pose2/17/22.npy create mode 100644 MP_Data/pose2/17/23.npy create mode 100644 MP_Data/pose2/17/24.npy create mode 100644 MP_Data/pose2/17/25.npy create mode 100644 MP_Data/pose2/17/26.npy create mode 100644 MP_Data/pose2/17/27.npy create mode 100644 MP_Data/pose2/17/28.npy create mode 100644 MP_Data/pose2/17/29.npy create mode 100644 MP_Data/pose2/17/3.npy create mode 100644 MP_Data/pose2/17/4.npy create mode 100644 MP_Data/pose2/17/5.npy create mode 100644 MP_Data/pose2/17/6.npy create mode 100644 MP_Data/pose2/17/7.npy create mode 100644 MP_Data/pose2/17/8.npy create mode 100644 MP_Data/pose2/17/9.npy create mode 100644 MP_Data/pose2/18/0.npy create mode 100644 MP_Data/pose2/18/1.npy create mode 100644 MP_Data/pose2/18/10.npy create mode 100644 MP_Data/pose2/18/11.npy create mode 100644 MP_Data/pose2/18/12.npy create mode 100644 MP_Data/pose2/18/13.npy create mode 100644 MP_Data/pose2/18/14.npy create mode 100644 MP_Data/pose2/18/15.npy create mode 100644 MP_Data/pose2/18/16.npy create mode 100644 MP_Data/pose2/18/17.npy create mode 100644 MP_Data/pose2/18/18.npy create mode 100644 MP_Data/pose2/18/19.npy create mode 100644 MP_Data/pose2/18/2.npy create mode 100644 MP_Data/pose2/18/20.npy create mode 100644 MP_Data/pose2/18/21.npy create mode 100644 MP_Data/pose2/18/22.npy create mode 100644 MP_Data/pose2/18/23.npy create mode 100644 MP_Data/pose2/18/24.npy create mode 100644 MP_Data/pose2/18/25.npy create mode 100644 MP_Data/pose2/18/26.npy create mode 100644 MP_Data/pose2/18/27.npy create mode 100644 MP_Data/pose2/18/28.npy create mode 100644 MP_Data/pose2/18/29.npy create mode 100644 MP_Data/pose2/18/3.npy create mode 100644 MP_Data/pose2/18/4.npy create mode 100644 MP_Data/pose2/18/5.npy create mode 100644 MP_Data/pose2/18/6.npy create mode 100644 MP_Data/pose2/18/7.npy create mode 100644 MP_Data/pose2/18/8.npy create mode 100644 MP_Data/pose2/18/9.npy create mode 100644 MP_Data/pose2/19/0.npy create mode 100644 MP_Data/pose2/19/1.npy create mode 100644 MP_Data/pose2/19/10.npy create mode 100644 MP_Data/pose2/19/11.npy create mode 100644 MP_Data/pose2/19/12.npy create mode 100644 MP_Data/pose2/19/13.npy create mode 100644 MP_Data/pose2/19/14.npy create mode 100644 MP_Data/pose2/19/15.npy create mode 100644 MP_Data/pose2/19/16.npy create mode 100644 MP_Data/pose2/19/17.npy create mode 100644 MP_Data/pose2/19/18.npy create mode 100644 MP_Data/pose2/19/19.npy create mode 100644 MP_Data/pose2/19/2.npy create mode 100644 MP_Data/pose2/19/20.npy create mode 100644 MP_Data/pose2/19/21.npy create mode 100644 MP_Data/pose2/19/22.npy create mode 100644 MP_Data/pose2/19/23.npy create mode 100644 MP_Data/pose2/19/24.npy create mode 100644 MP_Data/pose2/19/25.npy create mode 100644 MP_Data/pose2/19/26.npy create mode 100644 MP_Data/pose2/19/27.npy create mode 100644 MP_Data/pose2/19/28.npy create mode 100644 MP_Data/pose2/19/29.npy create mode 100644 MP_Data/pose2/19/3.npy create mode 100644 MP_Data/pose2/19/4.npy create mode 100644 MP_Data/pose2/19/5.npy create mode 100644 MP_Data/pose2/19/6.npy create mode 100644 MP_Data/pose2/19/7.npy create mode 100644 MP_Data/pose2/19/8.npy create mode 100644 MP_Data/pose2/19/9.npy create mode 100644 MP_Data/pose2/2/0.npy create mode 100644 MP_Data/pose2/2/1.npy create mode 100644 MP_Data/pose2/2/10.npy create mode 100644 MP_Data/pose2/2/11.npy create mode 100644 MP_Data/pose2/2/12.npy create mode 100644 MP_Data/pose2/2/13.npy create mode 100644 MP_Data/pose2/2/14.npy create mode 100644 MP_Data/pose2/2/15.npy create mode 100644 MP_Data/pose2/2/16.npy create mode 100644 MP_Data/pose2/2/17.npy create mode 100644 MP_Data/pose2/2/18.npy create mode 100644 MP_Data/pose2/2/19.npy create mode 100644 MP_Data/pose2/2/2.npy create mode 100644 MP_Data/pose2/2/20.npy create mode 100644 MP_Data/pose2/2/21.npy create mode 100644 MP_Data/pose2/2/22.npy create mode 100644 MP_Data/pose2/2/23.npy create mode 100644 MP_Data/pose2/2/24.npy create mode 100644 MP_Data/pose2/2/25.npy create mode 100644 MP_Data/pose2/2/26.npy create mode 100644 MP_Data/pose2/2/27.npy create mode 100644 MP_Data/pose2/2/28.npy create mode 100644 MP_Data/pose2/2/29.npy create mode 100644 MP_Data/pose2/2/3.npy create mode 100644 MP_Data/pose2/2/4.npy create mode 100644 MP_Data/pose2/2/5.npy create mode 100644 MP_Data/pose2/2/6.npy create mode 100644 MP_Data/pose2/2/7.npy create mode 100644 MP_Data/pose2/2/8.npy create mode 100644 MP_Data/pose2/2/9.npy create mode 100644 MP_Data/pose2/20/0.npy create mode 100644 MP_Data/pose2/20/1.npy create mode 100644 MP_Data/pose2/20/10.npy create mode 100644 MP_Data/pose2/20/11.npy create mode 100644 MP_Data/pose2/20/12.npy create mode 100644 MP_Data/pose2/20/13.npy create mode 100644 MP_Data/pose2/20/14.npy create mode 100644 MP_Data/pose2/20/15.npy create mode 100644 MP_Data/pose2/20/16.npy create mode 100644 MP_Data/pose2/20/17.npy create mode 100644 MP_Data/pose2/20/18.npy create mode 100644 MP_Data/pose2/20/19.npy create mode 100644 MP_Data/pose2/20/2.npy create mode 100644 MP_Data/pose2/20/20.npy create mode 100644 MP_Data/pose2/20/21.npy create mode 100644 MP_Data/pose2/20/22.npy create mode 100644 MP_Data/pose2/20/23.npy create mode 100644 MP_Data/pose2/20/24.npy create mode 100644 MP_Data/pose2/20/25.npy create mode 100644 MP_Data/pose2/20/26.npy create mode 100644 MP_Data/pose2/20/27.npy create mode 100644 MP_Data/pose2/20/28.npy create mode 100644 MP_Data/pose2/20/29.npy create mode 100644 MP_Data/pose2/20/3.npy create mode 100644 MP_Data/pose2/20/4.npy create mode 100644 MP_Data/pose2/20/5.npy create mode 100644 MP_Data/pose2/20/6.npy create mode 100644 MP_Data/pose2/20/7.npy create mode 100644 MP_Data/pose2/20/8.npy create mode 100644 MP_Data/pose2/20/9.npy create mode 100644 MP_Data/pose2/21/0.npy create mode 100644 MP_Data/pose2/21/1.npy create mode 100644 MP_Data/pose2/21/10.npy create mode 100644 MP_Data/pose2/21/11.npy create mode 100644 MP_Data/pose2/21/12.npy create mode 100644 MP_Data/pose2/21/13.npy create mode 100644 MP_Data/pose2/21/14.npy create mode 100644 MP_Data/pose2/21/15.npy create mode 100644 MP_Data/pose2/21/16.npy create mode 100644 MP_Data/pose2/21/17.npy create mode 100644 MP_Data/pose2/21/18.npy create mode 100644 MP_Data/pose2/21/19.npy create mode 100644 MP_Data/pose2/21/2.npy create mode 100644 MP_Data/pose2/21/20.npy create mode 100644 MP_Data/pose2/21/21.npy create mode 100644 MP_Data/pose2/21/22.npy create mode 100644 MP_Data/pose2/21/23.npy create mode 100644 MP_Data/pose2/21/24.npy create mode 100644 MP_Data/pose2/21/25.npy create mode 100644 MP_Data/pose2/21/26.npy create mode 100644 MP_Data/pose2/21/27.npy create mode 100644 MP_Data/pose2/21/28.npy create mode 100644 MP_Data/pose2/21/29.npy create mode 100644 MP_Data/pose2/21/3.npy create mode 100644 MP_Data/pose2/21/4.npy create mode 100644 MP_Data/pose2/21/5.npy create mode 100644 MP_Data/pose2/21/6.npy create mode 100644 MP_Data/pose2/21/7.npy create mode 100644 MP_Data/pose2/21/8.npy create mode 100644 MP_Data/pose2/21/9.npy create mode 100644 MP_Data/pose2/22/0.npy create mode 100644 MP_Data/pose2/22/1.npy create mode 100644 MP_Data/pose2/22/10.npy create mode 100644 MP_Data/pose2/22/11.npy create mode 100644 MP_Data/pose2/22/12.npy create mode 100644 MP_Data/pose2/22/13.npy create mode 100644 MP_Data/pose2/22/14.npy create mode 100644 MP_Data/pose2/22/15.npy create mode 100644 MP_Data/pose2/22/16.npy create mode 100644 MP_Data/pose2/22/17.npy create mode 100644 MP_Data/pose2/22/18.npy create mode 100644 MP_Data/pose2/22/19.npy create mode 100644 MP_Data/pose2/22/2.npy create mode 100644 MP_Data/pose2/22/20.npy create mode 100644 MP_Data/pose2/22/21.npy create mode 100644 MP_Data/pose2/22/22.npy create mode 100644 MP_Data/pose2/22/23.npy create mode 100644 MP_Data/pose2/22/24.npy create mode 100644 MP_Data/pose2/22/25.npy create mode 100644 MP_Data/pose2/22/26.npy create mode 100644 MP_Data/pose2/22/27.npy create mode 100644 MP_Data/pose2/22/28.npy create mode 100644 MP_Data/pose2/22/29.npy create mode 100644 MP_Data/pose2/22/3.npy create mode 100644 MP_Data/pose2/22/4.npy create mode 100644 MP_Data/pose2/22/5.npy create mode 100644 MP_Data/pose2/22/6.npy create mode 100644 MP_Data/pose2/22/7.npy create mode 100644 MP_Data/pose2/22/8.npy create mode 100644 MP_Data/pose2/22/9.npy create mode 100644 MP_Data/pose2/23/0.npy create mode 100644 MP_Data/pose2/23/1.npy create mode 100644 MP_Data/pose2/23/10.npy create mode 100644 MP_Data/pose2/23/11.npy create mode 100644 MP_Data/pose2/23/12.npy create mode 100644 MP_Data/pose2/23/13.npy create mode 100644 MP_Data/pose2/23/14.npy create mode 100644 MP_Data/pose2/23/15.npy create mode 100644 MP_Data/pose2/23/16.npy create mode 100644 MP_Data/pose2/23/17.npy create mode 100644 MP_Data/pose2/23/18.npy create mode 100644 MP_Data/pose2/23/19.npy create mode 100644 MP_Data/pose2/23/2.npy create mode 100644 MP_Data/pose2/23/20.npy create mode 100644 MP_Data/pose2/23/21.npy create mode 100644 MP_Data/pose2/23/22.npy create mode 100644 MP_Data/pose2/23/23.npy create mode 100644 MP_Data/pose2/23/24.npy create mode 100644 MP_Data/pose2/23/25.npy create mode 100644 MP_Data/pose2/23/26.npy create mode 100644 MP_Data/pose2/23/27.npy create mode 100644 MP_Data/pose2/23/28.npy create mode 100644 MP_Data/pose2/23/29.npy create mode 100644 MP_Data/pose2/23/3.npy create mode 100644 MP_Data/pose2/23/4.npy create mode 100644 MP_Data/pose2/23/5.npy create mode 100644 MP_Data/pose2/23/6.npy create mode 100644 MP_Data/pose2/23/7.npy create mode 100644 MP_Data/pose2/23/8.npy create mode 100644 MP_Data/pose2/23/9.npy create mode 100644 MP_Data/pose2/24/0.npy create mode 100644 MP_Data/pose2/24/1.npy create mode 100644 MP_Data/pose2/24/10.npy create mode 100644 MP_Data/pose2/24/11.npy create mode 100644 MP_Data/pose2/24/12.npy create mode 100644 MP_Data/pose2/24/13.npy create mode 100644 MP_Data/pose2/24/14.npy create mode 100644 MP_Data/pose2/24/15.npy create mode 100644 MP_Data/pose2/24/16.npy create mode 100644 MP_Data/pose2/24/17.npy create mode 100644 MP_Data/pose2/24/18.npy create mode 100644 MP_Data/pose2/24/19.npy create mode 100644 MP_Data/pose2/24/2.npy create mode 100644 MP_Data/pose2/24/20.npy create mode 100644 MP_Data/pose2/24/21.npy create mode 100644 MP_Data/pose2/24/22.npy create mode 100644 MP_Data/pose2/24/23.npy create mode 100644 MP_Data/pose2/24/24.npy create mode 100644 MP_Data/pose2/24/25.npy create mode 100644 MP_Data/pose2/24/26.npy create mode 100644 MP_Data/pose2/24/27.npy create mode 100644 MP_Data/pose2/24/28.npy create mode 100644 MP_Data/pose2/24/29.npy create mode 100644 MP_Data/pose2/24/3.npy create mode 100644 MP_Data/pose2/24/4.npy create mode 100644 MP_Data/pose2/24/5.npy create mode 100644 MP_Data/pose2/24/6.npy create mode 100644 MP_Data/pose2/24/7.npy create mode 100644 MP_Data/pose2/24/8.npy create mode 100644 MP_Data/pose2/24/9.npy create mode 100644 MP_Data/pose2/25/0.npy create mode 100644 MP_Data/pose2/25/1.npy create mode 100644 MP_Data/pose2/25/10.npy create mode 100644 MP_Data/pose2/25/11.npy create mode 100644 MP_Data/pose2/25/12.npy create mode 100644 MP_Data/pose2/25/13.npy create mode 100644 MP_Data/pose2/25/14.npy create mode 100644 MP_Data/pose2/25/15.npy create mode 100644 MP_Data/pose2/25/16.npy create mode 100644 MP_Data/pose2/25/17.npy create mode 100644 MP_Data/pose2/25/18.npy create mode 100644 MP_Data/pose2/25/19.npy create mode 100644 MP_Data/pose2/25/2.npy create mode 100644 MP_Data/pose2/25/20.npy create mode 100644 MP_Data/pose2/25/21.npy create mode 100644 MP_Data/pose2/25/22.npy create mode 100644 MP_Data/pose2/25/23.npy create mode 100644 MP_Data/pose2/25/24.npy create mode 100644 MP_Data/pose2/25/25.npy create mode 100644 MP_Data/pose2/25/26.npy create mode 100644 MP_Data/pose2/25/27.npy create mode 100644 MP_Data/pose2/25/28.npy create mode 100644 MP_Data/pose2/25/29.npy create mode 100644 MP_Data/pose2/25/3.npy create mode 100644 MP_Data/pose2/25/4.npy create mode 100644 MP_Data/pose2/25/5.npy create mode 100644 MP_Data/pose2/25/6.npy create mode 100644 MP_Data/pose2/25/7.npy create mode 100644 MP_Data/pose2/25/8.npy create mode 100644 MP_Data/pose2/25/9.npy create mode 100644 MP_Data/pose2/26/0.npy create mode 100644 MP_Data/pose2/26/1.npy create mode 100644 MP_Data/pose2/26/10.npy create mode 100644 MP_Data/pose2/26/11.npy create mode 100644 MP_Data/pose2/26/12.npy create mode 100644 MP_Data/pose2/26/13.npy create mode 100644 MP_Data/pose2/26/14.npy create mode 100644 MP_Data/pose2/26/15.npy create mode 100644 MP_Data/pose2/26/16.npy create mode 100644 MP_Data/pose2/26/17.npy create mode 100644 MP_Data/pose2/26/18.npy create mode 100644 MP_Data/pose2/26/19.npy create mode 100644 MP_Data/pose2/26/2.npy create mode 100644 MP_Data/pose2/26/20.npy create mode 100644 MP_Data/pose2/26/21.npy create mode 100644 MP_Data/pose2/26/22.npy create mode 100644 MP_Data/pose2/26/23.npy create mode 100644 MP_Data/pose2/26/24.npy create mode 100644 MP_Data/pose2/26/25.npy create mode 100644 MP_Data/pose2/26/26.npy create mode 100644 MP_Data/pose2/26/27.npy create mode 100644 MP_Data/pose2/26/28.npy create mode 100644 MP_Data/pose2/26/29.npy create mode 100644 MP_Data/pose2/26/3.npy create mode 100644 MP_Data/pose2/26/4.npy create mode 100644 MP_Data/pose2/26/5.npy create mode 100644 MP_Data/pose2/26/6.npy create mode 100644 MP_Data/pose2/26/7.npy create mode 100644 MP_Data/pose2/26/8.npy create mode 100644 MP_Data/pose2/26/9.npy create mode 100644 MP_Data/pose2/27/0.npy create mode 100644 MP_Data/pose2/27/1.npy create mode 100644 MP_Data/pose2/27/10.npy create mode 100644 MP_Data/pose2/27/11.npy create mode 100644 MP_Data/pose2/27/12.npy create mode 100644 MP_Data/pose2/27/13.npy create mode 100644 MP_Data/pose2/27/14.npy create mode 100644 MP_Data/pose2/27/15.npy create mode 100644 MP_Data/pose2/27/16.npy create mode 100644 MP_Data/pose2/27/17.npy create mode 100644 MP_Data/pose2/27/18.npy create mode 100644 MP_Data/pose2/27/19.npy create mode 100644 MP_Data/pose2/27/2.npy create mode 100644 MP_Data/pose2/27/20.npy create mode 100644 MP_Data/pose2/27/21.npy create mode 100644 MP_Data/pose2/27/22.npy create mode 100644 MP_Data/pose2/27/23.npy create mode 100644 MP_Data/pose2/27/24.npy create mode 100644 MP_Data/pose2/27/25.npy create mode 100644 MP_Data/pose2/27/26.npy create mode 100644 MP_Data/pose2/27/27.npy create mode 100644 MP_Data/pose2/27/28.npy create mode 100644 MP_Data/pose2/27/29.npy create mode 100644 MP_Data/pose2/27/3.npy create mode 100644 MP_Data/pose2/27/4.npy create mode 100644 MP_Data/pose2/27/5.npy create mode 100644 MP_Data/pose2/27/6.npy create mode 100644 MP_Data/pose2/27/7.npy create mode 100644 MP_Data/pose2/27/8.npy create mode 100644 MP_Data/pose2/27/9.npy create mode 100644 MP_Data/pose2/28/0.npy create mode 100644 MP_Data/pose2/28/1.npy create mode 100644 MP_Data/pose2/28/10.npy create mode 100644 MP_Data/pose2/28/11.npy create mode 100644 MP_Data/pose2/28/12.npy create mode 100644 MP_Data/pose2/28/13.npy create mode 100644 MP_Data/pose2/28/14.npy create mode 100644 MP_Data/pose2/28/15.npy create mode 100644 MP_Data/pose2/28/16.npy create mode 100644 MP_Data/pose2/28/17.npy create mode 100644 MP_Data/pose2/28/18.npy create mode 100644 MP_Data/pose2/28/19.npy create mode 100644 MP_Data/pose2/28/2.npy create mode 100644 MP_Data/pose2/28/20.npy create mode 100644 MP_Data/pose2/28/21.npy create mode 100644 MP_Data/pose2/28/22.npy create mode 100644 MP_Data/pose2/28/23.npy create mode 100644 MP_Data/pose2/28/24.npy create mode 100644 MP_Data/pose2/28/25.npy create mode 100644 MP_Data/pose2/28/26.npy create mode 100644 MP_Data/pose2/28/27.npy create mode 100644 MP_Data/pose2/28/28.npy create mode 100644 MP_Data/pose2/28/29.npy create mode 100644 MP_Data/pose2/28/3.npy create mode 100644 MP_Data/pose2/28/4.npy create mode 100644 MP_Data/pose2/28/5.npy create mode 100644 MP_Data/pose2/28/6.npy create mode 100644 MP_Data/pose2/28/7.npy create mode 100644 MP_Data/pose2/28/8.npy create mode 100644 MP_Data/pose2/28/9.npy create mode 100644 MP_Data/pose2/29/0.npy create mode 100644 MP_Data/pose2/29/1.npy create mode 100644 MP_Data/pose2/29/10.npy create mode 100644 MP_Data/pose2/29/11.npy create mode 100644 MP_Data/pose2/29/12.npy create mode 100644 MP_Data/pose2/29/13.npy create mode 100644 MP_Data/pose2/29/14.npy create mode 100644 MP_Data/pose2/29/15.npy create mode 100644 MP_Data/pose2/29/16.npy create mode 100644 MP_Data/pose2/29/17.npy create mode 100644 MP_Data/pose2/29/18.npy create mode 100644 MP_Data/pose2/29/19.npy create mode 100644 MP_Data/pose2/29/2.npy create mode 100644 MP_Data/pose2/29/20.npy create mode 100644 MP_Data/pose2/29/21.npy create mode 100644 MP_Data/pose2/29/22.npy create mode 100644 MP_Data/pose2/29/23.npy create mode 100644 MP_Data/pose2/29/24.npy create mode 100644 MP_Data/pose2/29/25.npy create mode 100644 MP_Data/pose2/29/26.npy create mode 100644 MP_Data/pose2/29/27.npy create mode 100644 MP_Data/pose2/29/28.npy create mode 100644 MP_Data/pose2/29/29.npy create mode 100644 MP_Data/pose2/29/3.npy create mode 100644 MP_Data/pose2/29/4.npy create mode 100644 MP_Data/pose2/29/5.npy create mode 100644 MP_Data/pose2/29/6.npy create mode 100644 MP_Data/pose2/29/7.npy create mode 100644 MP_Data/pose2/29/8.npy create mode 100644 MP_Data/pose2/29/9.npy create mode 100644 MP_Data/pose2/3/0.npy create mode 100644 MP_Data/pose2/3/1.npy create mode 100644 MP_Data/pose2/3/10.npy create mode 100644 MP_Data/pose2/3/11.npy create mode 100644 MP_Data/pose2/3/12.npy create mode 100644 MP_Data/pose2/3/13.npy create mode 100644 MP_Data/pose2/3/14.npy create mode 100644 MP_Data/pose2/3/15.npy create mode 100644 MP_Data/pose2/3/16.npy create mode 100644 MP_Data/pose2/3/17.npy create mode 100644 MP_Data/pose2/3/18.npy create mode 100644 MP_Data/pose2/3/19.npy create mode 100644 MP_Data/pose2/3/2.npy create mode 100644 MP_Data/pose2/3/20.npy create mode 100644 MP_Data/pose2/3/21.npy create mode 100644 MP_Data/pose2/3/22.npy create mode 100644 MP_Data/pose2/3/23.npy create mode 100644 MP_Data/pose2/3/24.npy create mode 100644 MP_Data/pose2/3/25.npy create mode 100644 MP_Data/pose2/3/26.npy create mode 100644 MP_Data/pose2/3/27.npy create mode 100644 MP_Data/pose2/3/28.npy create mode 100644 MP_Data/pose2/3/29.npy create mode 100644 MP_Data/pose2/3/3.npy create mode 100644 MP_Data/pose2/3/4.npy create mode 100644 MP_Data/pose2/3/5.npy create mode 100644 MP_Data/pose2/3/6.npy create mode 100644 MP_Data/pose2/3/7.npy create mode 100644 MP_Data/pose2/3/8.npy create mode 100644 MP_Data/pose2/3/9.npy create mode 100644 MP_Data/pose2/4/0.npy create mode 100644 MP_Data/pose2/4/1.npy create mode 100644 MP_Data/pose2/4/10.npy create mode 100644 MP_Data/pose2/4/11.npy create mode 100644 MP_Data/pose2/4/12.npy create mode 100644 MP_Data/pose2/4/13.npy create mode 100644 MP_Data/pose2/4/14.npy create mode 100644 MP_Data/pose2/4/15.npy create mode 100644 MP_Data/pose2/4/16.npy create mode 100644 MP_Data/pose2/4/17.npy create mode 100644 MP_Data/pose2/4/18.npy create mode 100644 MP_Data/pose2/4/19.npy create mode 100644 MP_Data/pose2/4/2.npy create mode 100644 MP_Data/pose2/4/20.npy create mode 100644 MP_Data/pose2/4/21.npy create mode 100644 MP_Data/pose2/4/22.npy create mode 100644 MP_Data/pose2/4/23.npy create mode 100644 MP_Data/pose2/4/24.npy create mode 100644 MP_Data/pose2/4/25.npy create mode 100644 MP_Data/pose2/4/26.npy create mode 100644 MP_Data/pose2/4/27.npy create mode 100644 MP_Data/pose2/4/28.npy create mode 100644 MP_Data/pose2/4/29.npy create mode 100644 MP_Data/pose2/4/3.npy create mode 100644 MP_Data/pose2/4/4.npy create mode 100644 MP_Data/pose2/4/5.npy create mode 100644 MP_Data/pose2/4/6.npy create mode 100644 MP_Data/pose2/4/7.npy create mode 100644 MP_Data/pose2/4/8.npy create mode 100644 MP_Data/pose2/4/9.npy create mode 100644 MP_Data/pose2/5/0.npy create mode 100644 MP_Data/pose2/5/1.npy create mode 100644 MP_Data/pose2/5/10.npy create mode 100644 MP_Data/pose2/5/11.npy create mode 100644 MP_Data/pose2/5/12.npy create mode 100644 MP_Data/pose2/5/13.npy create mode 100644 MP_Data/pose2/5/14.npy create mode 100644 MP_Data/pose2/5/15.npy create mode 100644 MP_Data/pose2/5/16.npy create mode 100644 MP_Data/pose2/5/17.npy create mode 100644 MP_Data/pose2/5/18.npy create mode 100644 MP_Data/pose2/5/19.npy create mode 100644 MP_Data/pose2/5/2.npy create mode 100644 MP_Data/pose2/5/20.npy create mode 100644 MP_Data/pose2/5/21.npy create mode 100644 MP_Data/pose2/5/22.npy create mode 100644 MP_Data/pose2/5/23.npy create mode 100644 MP_Data/pose2/5/24.npy create mode 100644 MP_Data/pose2/5/25.npy create mode 100644 MP_Data/pose2/5/26.npy create mode 100644 MP_Data/pose2/5/27.npy create mode 100644 MP_Data/pose2/5/28.npy create mode 100644 MP_Data/pose2/5/29.npy create mode 100644 MP_Data/pose2/5/3.npy create mode 100644 MP_Data/pose2/5/4.npy create mode 100644 MP_Data/pose2/5/5.npy create mode 100644 MP_Data/pose2/5/6.npy create mode 100644 MP_Data/pose2/5/7.npy create mode 100644 MP_Data/pose2/5/8.npy create mode 100644 MP_Data/pose2/5/9.npy create mode 100644 MP_Data/pose2/6/0.npy create mode 100644 MP_Data/pose2/6/1.npy create mode 100644 MP_Data/pose2/6/10.npy create mode 100644 MP_Data/pose2/6/11.npy create mode 100644 MP_Data/pose2/6/12.npy create mode 100644 MP_Data/pose2/6/13.npy create mode 100644 MP_Data/pose2/6/14.npy create mode 100644 MP_Data/pose2/6/15.npy create mode 100644 MP_Data/pose2/6/16.npy create mode 100644 MP_Data/pose2/6/17.npy create mode 100644 MP_Data/pose2/6/18.npy create mode 100644 MP_Data/pose2/6/19.npy create mode 100644 MP_Data/pose2/6/2.npy create mode 100644 MP_Data/pose2/6/20.npy create mode 100644 MP_Data/pose2/6/21.npy create mode 100644 MP_Data/pose2/6/22.npy create mode 100644 MP_Data/pose2/6/23.npy create mode 100644 MP_Data/pose2/6/24.npy create mode 100644 MP_Data/pose2/6/25.npy create mode 100644 MP_Data/pose2/6/26.npy create mode 100644 MP_Data/pose2/6/27.npy create mode 100644 MP_Data/pose2/6/28.npy create mode 100644 MP_Data/pose2/6/29.npy create mode 100644 MP_Data/pose2/6/3.npy create mode 100644 MP_Data/pose2/6/4.npy create mode 100644 MP_Data/pose2/6/5.npy create mode 100644 MP_Data/pose2/6/6.npy create mode 100644 MP_Data/pose2/6/7.npy create mode 100644 MP_Data/pose2/6/8.npy create mode 100644 MP_Data/pose2/6/9.npy create mode 100644 MP_Data/pose2/7/0.npy create mode 100644 MP_Data/pose2/7/1.npy create mode 100644 MP_Data/pose2/7/10.npy create mode 100644 MP_Data/pose2/7/11.npy create mode 100644 MP_Data/pose2/7/12.npy create mode 100644 MP_Data/pose2/7/13.npy create mode 100644 MP_Data/pose2/7/14.npy create mode 100644 MP_Data/pose2/7/15.npy create mode 100644 MP_Data/pose2/7/16.npy create mode 100644 MP_Data/pose2/7/17.npy create mode 100644 MP_Data/pose2/7/18.npy create mode 100644 MP_Data/pose2/7/19.npy create mode 100644 MP_Data/pose2/7/2.npy create mode 100644 MP_Data/pose2/7/20.npy create mode 100644 MP_Data/pose2/7/21.npy create mode 100644 MP_Data/pose2/7/22.npy create mode 100644 MP_Data/pose2/7/23.npy create mode 100644 MP_Data/pose2/7/24.npy create mode 100644 MP_Data/pose2/7/25.npy create mode 100644 MP_Data/pose2/7/26.npy create mode 100644 MP_Data/pose2/7/27.npy create mode 100644 MP_Data/pose2/7/28.npy create mode 100644 MP_Data/pose2/7/29.npy create mode 100644 MP_Data/pose2/7/3.npy create mode 100644 MP_Data/pose2/7/4.npy create mode 100644 MP_Data/pose2/7/5.npy create mode 100644 MP_Data/pose2/7/6.npy create mode 100644 MP_Data/pose2/7/7.npy create mode 100644 MP_Data/pose2/7/8.npy create mode 100644 MP_Data/pose2/7/9.npy create mode 100644 MP_Data/pose2/8/0.npy create mode 100644 MP_Data/pose2/8/1.npy create mode 100644 MP_Data/pose2/8/10.npy create mode 100644 MP_Data/pose2/8/11.npy create mode 100644 MP_Data/pose2/8/12.npy create mode 100644 MP_Data/pose2/8/13.npy create mode 100644 MP_Data/pose2/8/14.npy create mode 100644 MP_Data/pose2/8/15.npy create mode 100644 MP_Data/pose2/8/16.npy create mode 100644 MP_Data/pose2/8/17.npy create mode 100644 MP_Data/pose2/8/18.npy create mode 100644 MP_Data/pose2/8/19.npy create mode 100644 MP_Data/pose2/8/2.npy create mode 100644 MP_Data/pose2/8/20.npy create mode 100644 MP_Data/pose2/8/21.npy create mode 100644 MP_Data/pose2/8/22.npy create mode 100644 MP_Data/pose2/8/23.npy create mode 100644 MP_Data/pose2/8/24.npy create mode 100644 MP_Data/pose2/8/25.npy create mode 100644 MP_Data/pose2/8/26.npy create mode 100644 MP_Data/pose2/8/27.npy create mode 100644 MP_Data/pose2/8/28.npy create mode 100644 MP_Data/pose2/8/29.npy create mode 100644 MP_Data/pose2/8/3.npy create mode 100644 MP_Data/pose2/8/4.npy create mode 100644 MP_Data/pose2/8/5.npy create mode 100644 MP_Data/pose2/8/6.npy create mode 100644 MP_Data/pose2/8/7.npy create mode 100644 MP_Data/pose2/8/8.npy create mode 100644 MP_Data/pose2/8/9.npy create mode 100644 MP_Data/pose2/9/0.npy create mode 100644 MP_Data/pose2/9/1.npy create mode 100644 MP_Data/pose2/9/10.npy create mode 100644 MP_Data/pose2/9/11.npy create mode 100644 MP_Data/pose2/9/12.npy create mode 100644 MP_Data/pose2/9/13.npy create mode 100644 MP_Data/pose2/9/14.npy create mode 100644 MP_Data/pose2/9/15.npy create mode 100644 MP_Data/pose2/9/16.npy create mode 100644 MP_Data/pose2/9/17.npy create mode 100644 MP_Data/pose2/9/18.npy create mode 100644 MP_Data/pose2/9/19.npy create mode 100644 MP_Data/pose2/9/2.npy create mode 100644 MP_Data/pose2/9/20.npy create mode 100644 MP_Data/pose2/9/21.npy create mode 100644 MP_Data/pose2/9/22.npy create mode 100644 MP_Data/pose2/9/23.npy create mode 100644 MP_Data/pose2/9/24.npy create mode 100644 MP_Data/pose2/9/25.npy create mode 100644 MP_Data/pose2/9/26.npy create mode 100644 MP_Data/pose2/9/27.npy create mode 100644 MP_Data/pose2/9/28.npy create mode 100644 MP_Data/pose2/9/29.npy create mode 100644 MP_Data/pose2/9/3.npy create mode 100644 MP_Data/pose2/9/4.npy create mode 100644 MP_Data/pose2/9/5.npy create mode 100644 MP_Data/pose2/9/6.npy create mode 100644 MP_Data/pose2/9/7.npy create mode 100644 MP_Data/pose2/9/8.npy create mode 100644 MP_Data/pose2/9/9.npy create mode 100644 MP_Data/pose3/0/0.npy create mode 100644 MP_Data/pose3/0/1.npy create mode 100644 MP_Data/pose3/0/10.npy create mode 100644 MP_Data/pose3/0/11.npy create mode 100644 MP_Data/pose3/0/12.npy create mode 100644 MP_Data/pose3/0/13.npy create mode 100644 MP_Data/pose3/0/14.npy create mode 100644 MP_Data/pose3/0/15.npy create mode 100644 MP_Data/pose3/0/16.npy create mode 100644 MP_Data/pose3/0/17.npy create mode 100644 MP_Data/pose3/0/18.npy create mode 100644 MP_Data/pose3/0/19.npy create mode 100644 MP_Data/pose3/0/2.npy create mode 100644 MP_Data/pose3/0/20.npy create mode 100644 MP_Data/pose3/0/21.npy create mode 100644 MP_Data/pose3/0/22.npy create mode 100644 MP_Data/pose3/0/23.npy create mode 100644 MP_Data/pose3/0/24.npy create mode 100644 MP_Data/pose3/0/25.npy create mode 100644 MP_Data/pose3/0/26.npy create mode 100644 MP_Data/pose3/0/27.npy create mode 100644 MP_Data/pose3/0/28.npy create mode 100644 MP_Data/pose3/0/29.npy create mode 100644 MP_Data/pose3/0/3.npy create mode 100644 MP_Data/pose3/0/4.npy create mode 100644 MP_Data/pose3/0/5.npy create mode 100644 MP_Data/pose3/0/6.npy create mode 100644 MP_Data/pose3/0/7.npy create mode 100644 MP_Data/pose3/0/8.npy create mode 100644 MP_Data/pose3/0/9.npy create mode 100644 MP_Data/pose3/1/0.npy create mode 100644 MP_Data/pose3/1/1.npy create mode 100644 MP_Data/pose3/1/10.npy create mode 100644 MP_Data/pose3/1/11.npy create mode 100644 MP_Data/pose3/1/12.npy create mode 100644 MP_Data/pose3/1/13.npy create mode 100644 MP_Data/pose3/1/14.npy create mode 100644 MP_Data/pose3/1/15.npy create mode 100644 MP_Data/pose3/1/16.npy create mode 100644 MP_Data/pose3/1/17.npy create mode 100644 MP_Data/pose3/1/18.npy create mode 100644 MP_Data/pose3/1/19.npy create mode 100644 MP_Data/pose3/1/2.npy create mode 100644 MP_Data/pose3/1/20.npy create mode 100644 MP_Data/pose3/1/21.npy create mode 100644 MP_Data/pose3/1/22.npy create mode 100644 MP_Data/pose3/1/23.npy create mode 100644 MP_Data/pose3/1/24.npy create mode 100644 MP_Data/pose3/1/25.npy create mode 100644 MP_Data/pose3/1/26.npy create mode 100644 MP_Data/pose3/1/27.npy create mode 100644 MP_Data/pose3/1/28.npy create mode 100644 MP_Data/pose3/1/29.npy create mode 100644 MP_Data/pose3/1/3.npy create mode 100644 MP_Data/pose3/1/4.npy create mode 100644 MP_Data/pose3/1/5.npy create mode 100644 MP_Data/pose3/1/6.npy create mode 100644 MP_Data/pose3/1/7.npy create mode 100644 MP_Data/pose3/1/8.npy create mode 100644 MP_Data/pose3/1/9.npy create mode 100644 MP_Data/pose3/10/0.npy create mode 100644 MP_Data/pose3/10/1.npy create mode 100644 MP_Data/pose3/10/10.npy create mode 100644 MP_Data/pose3/10/11.npy create mode 100644 MP_Data/pose3/10/12.npy create mode 100644 MP_Data/pose3/10/13.npy create mode 100644 MP_Data/pose3/10/14.npy create mode 100644 MP_Data/pose3/10/15.npy create mode 100644 MP_Data/pose3/10/16.npy create mode 100644 MP_Data/pose3/10/17.npy create mode 100644 MP_Data/pose3/10/18.npy create mode 100644 MP_Data/pose3/10/19.npy create mode 100644 MP_Data/pose3/10/2.npy create mode 100644 MP_Data/pose3/10/20.npy create mode 100644 MP_Data/pose3/10/21.npy create mode 100644 MP_Data/pose3/10/22.npy create mode 100644 MP_Data/pose3/10/23.npy create mode 100644 MP_Data/pose3/10/24.npy create mode 100644 MP_Data/pose3/10/25.npy create mode 100644 MP_Data/pose3/10/26.npy create mode 100644 MP_Data/pose3/10/27.npy create mode 100644 MP_Data/pose3/10/28.npy create mode 100644 MP_Data/pose3/10/29.npy create mode 100644 MP_Data/pose3/10/3.npy create mode 100644 MP_Data/pose3/10/4.npy create mode 100644 MP_Data/pose3/10/5.npy create mode 100644 MP_Data/pose3/10/6.npy create mode 100644 MP_Data/pose3/10/7.npy create mode 100644 MP_Data/pose3/10/8.npy create mode 100644 MP_Data/pose3/10/9.npy create mode 100644 MP_Data/pose3/11/0.npy create mode 100644 MP_Data/pose3/11/1.npy create mode 100644 MP_Data/pose3/11/10.npy create mode 100644 MP_Data/pose3/11/11.npy create mode 100644 MP_Data/pose3/11/12.npy create mode 100644 MP_Data/pose3/11/13.npy create mode 100644 MP_Data/pose3/11/14.npy create mode 100644 MP_Data/pose3/11/15.npy create mode 100644 MP_Data/pose3/11/16.npy create mode 100644 MP_Data/pose3/11/17.npy create mode 100644 MP_Data/pose3/11/18.npy create mode 100644 MP_Data/pose3/11/19.npy create mode 100644 MP_Data/pose3/11/2.npy create mode 100644 MP_Data/pose3/11/20.npy create mode 100644 MP_Data/pose3/11/21.npy create mode 100644 MP_Data/pose3/11/22.npy create mode 100644 MP_Data/pose3/11/23.npy create mode 100644 MP_Data/pose3/11/24.npy create mode 100644 MP_Data/pose3/11/25.npy create mode 100644 MP_Data/pose3/11/26.npy create mode 100644 MP_Data/pose3/11/27.npy create mode 100644 MP_Data/pose3/11/28.npy create mode 100644 MP_Data/pose3/11/29.npy create mode 100644 MP_Data/pose3/11/3.npy create mode 100644 MP_Data/pose3/11/4.npy create mode 100644 MP_Data/pose3/11/5.npy create mode 100644 MP_Data/pose3/11/6.npy create mode 100644 MP_Data/pose3/11/7.npy create mode 100644 MP_Data/pose3/11/8.npy create mode 100644 MP_Data/pose3/11/9.npy create mode 100644 MP_Data/pose3/12/0.npy create mode 100644 MP_Data/pose3/12/1.npy create mode 100644 MP_Data/pose3/12/10.npy create mode 100644 MP_Data/pose3/12/11.npy create mode 100644 MP_Data/pose3/12/12.npy create mode 100644 MP_Data/pose3/12/13.npy create mode 100644 MP_Data/pose3/12/14.npy create mode 100644 MP_Data/pose3/12/15.npy create mode 100644 MP_Data/pose3/12/16.npy create mode 100644 MP_Data/pose3/12/17.npy create mode 100644 MP_Data/pose3/12/18.npy create mode 100644 MP_Data/pose3/12/19.npy create mode 100644 MP_Data/pose3/12/2.npy create mode 100644 MP_Data/pose3/12/20.npy create mode 100644 MP_Data/pose3/12/21.npy create mode 100644 MP_Data/pose3/12/22.npy create mode 100644 MP_Data/pose3/12/23.npy create mode 100644 MP_Data/pose3/12/24.npy create mode 100644 MP_Data/pose3/12/25.npy create mode 100644 MP_Data/pose3/12/26.npy create mode 100644 MP_Data/pose3/12/27.npy create mode 100644 MP_Data/pose3/12/28.npy create mode 100644 MP_Data/pose3/12/29.npy create mode 100644 MP_Data/pose3/12/3.npy create mode 100644 MP_Data/pose3/12/4.npy create mode 100644 MP_Data/pose3/12/5.npy create mode 100644 MP_Data/pose3/12/6.npy create mode 100644 MP_Data/pose3/12/7.npy create mode 100644 MP_Data/pose3/12/8.npy create mode 100644 MP_Data/pose3/12/9.npy create mode 100644 MP_Data/pose3/13/0.npy create mode 100644 MP_Data/pose3/13/1.npy create mode 100644 MP_Data/pose3/13/10.npy create mode 100644 MP_Data/pose3/13/11.npy create mode 100644 MP_Data/pose3/13/12.npy create mode 100644 MP_Data/pose3/13/13.npy create mode 100644 MP_Data/pose3/13/14.npy create mode 100644 MP_Data/pose3/13/15.npy create mode 100644 MP_Data/pose3/13/16.npy create mode 100644 MP_Data/pose3/13/17.npy create mode 100644 MP_Data/pose3/13/18.npy create mode 100644 MP_Data/pose3/13/19.npy create mode 100644 MP_Data/pose3/13/2.npy create mode 100644 MP_Data/pose3/13/20.npy create mode 100644 MP_Data/pose3/13/21.npy create mode 100644 MP_Data/pose3/13/22.npy create mode 100644 MP_Data/pose3/13/23.npy create mode 100644 MP_Data/pose3/13/24.npy create mode 100644 MP_Data/pose3/13/25.npy create mode 100644 MP_Data/pose3/13/26.npy create mode 100644 MP_Data/pose3/13/27.npy create mode 100644 MP_Data/pose3/13/28.npy create mode 100644 MP_Data/pose3/13/29.npy create mode 100644 MP_Data/pose3/13/3.npy create mode 100644 MP_Data/pose3/13/4.npy create mode 100644 MP_Data/pose3/13/5.npy create mode 100644 MP_Data/pose3/13/6.npy create mode 100644 MP_Data/pose3/13/7.npy create mode 100644 MP_Data/pose3/13/8.npy create mode 100644 MP_Data/pose3/13/9.npy create mode 100644 MP_Data/pose3/14/0.npy create mode 100644 MP_Data/pose3/14/1.npy create mode 100644 MP_Data/pose3/14/10.npy create mode 100644 MP_Data/pose3/14/11.npy create mode 100644 MP_Data/pose3/14/12.npy create mode 100644 MP_Data/pose3/14/13.npy create mode 100644 MP_Data/pose3/14/14.npy create mode 100644 MP_Data/pose3/14/15.npy create mode 100644 MP_Data/pose3/14/16.npy create mode 100644 MP_Data/pose3/14/17.npy create mode 100644 MP_Data/pose3/14/18.npy create mode 100644 MP_Data/pose3/14/19.npy create mode 100644 MP_Data/pose3/14/2.npy create mode 100644 MP_Data/pose3/14/20.npy create mode 100644 MP_Data/pose3/14/21.npy create mode 100644 MP_Data/pose3/14/22.npy create mode 100644 MP_Data/pose3/14/23.npy create mode 100644 MP_Data/pose3/14/24.npy create mode 100644 MP_Data/pose3/14/25.npy create mode 100644 MP_Data/pose3/14/26.npy create mode 100644 MP_Data/pose3/14/27.npy create mode 100644 MP_Data/pose3/14/28.npy create mode 100644 MP_Data/pose3/14/29.npy create mode 100644 MP_Data/pose3/14/3.npy create mode 100644 MP_Data/pose3/14/4.npy create mode 100644 MP_Data/pose3/14/5.npy create mode 100644 MP_Data/pose3/14/6.npy create mode 100644 MP_Data/pose3/14/7.npy create mode 100644 MP_Data/pose3/14/8.npy create mode 100644 MP_Data/pose3/14/9.npy create mode 100644 MP_Data/pose3/15/0.npy create mode 100644 MP_Data/pose3/15/1.npy create mode 100644 MP_Data/pose3/15/10.npy create mode 100644 MP_Data/pose3/15/11.npy create mode 100644 MP_Data/pose3/15/12.npy create mode 100644 MP_Data/pose3/15/13.npy create mode 100644 MP_Data/pose3/15/14.npy create mode 100644 MP_Data/pose3/15/15.npy create mode 100644 MP_Data/pose3/15/16.npy create mode 100644 MP_Data/pose3/15/17.npy create mode 100644 MP_Data/pose3/15/18.npy create mode 100644 MP_Data/pose3/15/19.npy create mode 100644 MP_Data/pose3/15/2.npy create mode 100644 MP_Data/pose3/15/20.npy create mode 100644 MP_Data/pose3/15/21.npy create mode 100644 MP_Data/pose3/15/22.npy create mode 100644 MP_Data/pose3/15/23.npy create mode 100644 MP_Data/pose3/15/24.npy create mode 100644 MP_Data/pose3/15/25.npy create mode 100644 MP_Data/pose3/15/26.npy create mode 100644 MP_Data/pose3/15/27.npy create mode 100644 MP_Data/pose3/15/28.npy create mode 100644 MP_Data/pose3/15/29.npy create mode 100644 MP_Data/pose3/15/3.npy create mode 100644 MP_Data/pose3/15/4.npy create mode 100644 MP_Data/pose3/15/5.npy create mode 100644 MP_Data/pose3/15/6.npy create mode 100644 MP_Data/pose3/15/7.npy create mode 100644 MP_Data/pose3/15/8.npy create mode 100644 MP_Data/pose3/15/9.npy create mode 100644 MP_Data/pose3/16/0.npy create mode 100644 MP_Data/pose3/16/1.npy create mode 100644 MP_Data/pose3/16/10.npy create mode 100644 MP_Data/pose3/16/11.npy create mode 100644 MP_Data/pose3/16/12.npy create mode 100644 MP_Data/pose3/16/13.npy create mode 100644 MP_Data/pose3/16/14.npy create mode 100644 MP_Data/pose3/16/15.npy create mode 100644 MP_Data/pose3/16/16.npy create mode 100644 MP_Data/pose3/16/17.npy create mode 100644 MP_Data/pose3/16/18.npy create mode 100644 MP_Data/pose3/16/19.npy create mode 100644 MP_Data/pose3/16/2.npy create mode 100644 MP_Data/pose3/16/20.npy create mode 100644 MP_Data/pose3/16/21.npy create mode 100644 MP_Data/pose3/16/22.npy create mode 100644 MP_Data/pose3/16/23.npy create mode 100644 MP_Data/pose3/16/24.npy create mode 100644 MP_Data/pose3/16/25.npy create mode 100644 MP_Data/pose3/16/26.npy create mode 100644 MP_Data/pose3/16/27.npy create mode 100644 MP_Data/pose3/16/28.npy create mode 100644 MP_Data/pose3/16/29.npy create mode 100644 MP_Data/pose3/16/3.npy create mode 100644 MP_Data/pose3/16/4.npy create mode 100644 MP_Data/pose3/16/5.npy create mode 100644 MP_Data/pose3/16/6.npy create mode 100644 MP_Data/pose3/16/7.npy create mode 100644 MP_Data/pose3/16/8.npy create mode 100644 MP_Data/pose3/16/9.npy create mode 100644 MP_Data/pose3/17/0.npy create mode 100644 MP_Data/pose3/17/1.npy create mode 100644 MP_Data/pose3/17/10.npy create mode 100644 MP_Data/pose3/17/11.npy create mode 100644 MP_Data/pose3/17/12.npy create mode 100644 MP_Data/pose3/17/13.npy create mode 100644 MP_Data/pose3/17/14.npy create mode 100644 MP_Data/pose3/17/15.npy create mode 100644 MP_Data/pose3/17/16.npy create mode 100644 MP_Data/pose3/17/17.npy create mode 100644 MP_Data/pose3/17/18.npy create mode 100644 MP_Data/pose3/17/19.npy create mode 100644 MP_Data/pose3/17/2.npy create mode 100644 MP_Data/pose3/17/20.npy create mode 100644 MP_Data/pose3/17/21.npy create mode 100644 MP_Data/pose3/17/22.npy create mode 100644 MP_Data/pose3/17/23.npy create mode 100644 MP_Data/pose3/17/24.npy create mode 100644 MP_Data/pose3/17/25.npy create mode 100644 MP_Data/pose3/17/26.npy create mode 100644 MP_Data/pose3/17/27.npy create mode 100644 MP_Data/pose3/17/28.npy create mode 100644 MP_Data/pose3/17/29.npy create mode 100644 MP_Data/pose3/17/3.npy create mode 100644 MP_Data/pose3/17/4.npy create mode 100644 MP_Data/pose3/17/5.npy create mode 100644 MP_Data/pose3/17/6.npy create mode 100644 MP_Data/pose3/17/7.npy create mode 100644 MP_Data/pose3/17/8.npy create mode 100644 MP_Data/pose3/17/9.npy create mode 100644 MP_Data/pose3/18/0.npy create mode 100644 MP_Data/pose3/18/1.npy create mode 100644 MP_Data/pose3/18/10.npy create mode 100644 MP_Data/pose3/18/11.npy create mode 100644 MP_Data/pose3/18/12.npy create mode 100644 MP_Data/pose3/18/13.npy create mode 100644 MP_Data/pose3/18/14.npy create mode 100644 MP_Data/pose3/18/15.npy create mode 100644 MP_Data/pose3/18/16.npy create mode 100644 MP_Data/pose3/18/17.npy create mode 100644 MP_Data/pose3/18/18.npy create mode 100644 MP_Data/pose3/18/19.npy create mode 100644 MP_Data/pose3/18/2.npy create mode 100644 MP_Data/pose3/18/20.npy create mode 100644 MP_Data/pose3/18/21.npy create mode 100644 MP_Data/pose3/18/22.npy create mode 100644 MP_Data/pose3/18/23.npy create mode 100644 MP_Data/pose3/18/24.npy create mode 100644 MP_Data/pose3/18/25.npy create mode 100644 MP_Data/pose3/18/26.npy create mode 100644 MP_Data/pose3/18/27.npy create mode 100644 MP_Data/pose3/18/28.npy create mode 100644 MP_Data/pose3/18/29.npy create mode 100644 MP_Data/pose3/18/3.npy create mode 100644 MP_Data/pose3/18/4.npy create mode 100644 MP_Data/pose3/18/5.npy create mode 100644 MP_Data/pose3/18/6.npy create mode 100644 MP_Data/pose3/18/7.npy create mode 100644 MP_Data/pose3/18/8.npy create mode 100644 MP_Data/pose3/18/9.npy create mode 100644 MP_Data/pose3/19/0.npy create mode 100644 MP_Data/pose3/19/1.npy create mode 100644 MP_Data/pose3/19/10.npy create mode 100644 MP_Data/pose3/19/11.npy create mode 100644 MP_Data/pose3/19/12.npy create mode 100644 MP_Data/pose3/19/13.npy create mode 100644 MP_Data/pose3/19/14.npy create mode 100644 MP_Data/pose3/19/15.npy create mode 100644 MP_Data/pose3/19/16.npy create mode 100644 MP_Data/pose3/19/17.npy create mode 100644 MP_Data/pose3/19/18.npy create mode 100644 MP_Data/pose3/19/19.npy create mode 100644 MP_Data/pose3/19/2.npy create mode 100644 MP_Data/pose3/19/20.npy create mode 100644 MP_Data/pose3/19/21.npy create mode 100644 MP_Data/pose3/19/22.npy create mode 100644 MP_Data/pose3/19/23.npy create mode 100644 MP_Data/pose3/19/24.npy create mode 100644 MP_Data/pose3/19/25.npy create mode 100644 MP_Data/pose3/19/26.npy create mode 100644 MP_Data/pose3/19/27.npy create mode 100644 MP_Data/pose3/19/28.npy create mode 100644 MP_Data/pose3/19/29.npy create mode 100644 MP_Data/pose3/19/3.npy create mode 100644 MP_Data/pose3/19/4.npy create mode 100644 MP_Data/pose3/19/5.npy create mode 100644 MP_Data/pose3/19/6.npy create mode 100644 MP_Data/pose3/19/7.npy create mode 100644 MP_Data/pose3/19/8.npy create mode 100644 MP_Data/pose3/19/9.npy create mode 100644 MP_Data/pose3/2/0.npy create mode 100644 MP_Data/pose3/2/1.npy create mode 100644 MP_Data/pose3/2/10.npy create mode 100644 MP_Data/pose3/2/11.npy create mode 100644 MP_Data/pose3/2/12.npy create mode 100644 MP_Data/pose3/2/13.npy create mode 100644 MP_Data/pose3/2/14.npy create mode 100644 MP_Data/pose3/2/15.npy create mode 100644 MP_Data/pose3/2/16.npy create mode 100644 MP_Data/pose3/2/17.npy create mode 100644 MP_Data/pose3/2/18.npy create mode 100644 MP_Data/pose3/2/19.npy create mode 100644 MP_Data/pose3/2/2.npy create mode 100644 MP_Data/pose3/2/20.npy create mode 100644 MP_Data/pose3/2/21.npy create mode 100644 MP_Data/pose3/2/22.npy create mode 100644 MP_Data/pose3/2/23.npy create mode 100644 MP_Data/pose3/2/24.npy create mode 100644 MP_Data/pose3/2/25.npy create mode 100644 MP_Data/pose3/2/26.npy create mode 100644 MP_Data/pose3/2/27.npy create mode 100644 MP_Data/pose3/2/28.npy create mode 100644 MP_Data/pose3/2/29.npy create mode 100644 MP_Data/pose3/2/3.npy create mode 100644 MP_Data/pose3/2/4.npy create mode 100644 MP_Data/pose3/2/5.npy create mode 100644 MP_Data/pose3/2/6.npy create mode 100644 MP_Data/pose3/2/7.npy create mode 100644 MP_Data/pose3/2/8.npy create mode 100644 MP_Data/pose3/2/9.npy create mode 100644 MP_Data/pose3/20/0.npy create mode 100644 MP_Data/pose3/20/1.npy create mode 100644 MP_Data/pose3/20/10.npy create mode 100644 MP_Data/pose3/20/11.npy create mode 100644 MP_Data/pose3/20/12.npy create mode 100644 MP_Data/pose3/20/13.npy create mode 100644 MP_Data/pose3/20/14.npy create mode 100644 MP_Data/pose3/20/15.npy create mode 100644 MP_Data/pose3/20/16.npy create mode 100644 MP_Data/pose3/20/17.npy create mode 100644 MP_Data/pose3/20/18.npy create mode 100644 MP_Data/pose3/20/19.npy create mode 100644 MP_Data/pose3/20/2.npy create mode 100644 MP_Data/pose3/20/20.npy create mode 100644 MP_Data/pose3/20/21.npy create mode 100644 MP_Data/pose3/20/22.npy create mode 100644 MP_Data/pose3/20/23.npy create mode 100644 MP_Data/pose3/20/24.npy create mode 100644 MP_Data/pose3/20/25.npy create mode 100644 MP_Data/pose3/20/26.npy create mode 100644 MP_Data/pose3/20/27.npy create mode 100644 MP_Data/pose3/20/28.npy create mode 100644 MP_Data/pose3/20/29.npy create mode 100644 MP_Data/pose3/20/3.npy create mode 100644 MP_Data/pose3/20/4.npy create mode 100644 MP_Data/pose3/20/5.npy create mode 100644 MP_Data/pose3/20/6.npy create mode 100644 MP_Data/pose3/20/7.npy create mode 100644 MP_Data/pose3/20/8.npy create mode 100644 MP_Data/pose3/20/9.npy create mode 100644 MP_Data/pose3/21/0.npy create mode 100644 MP_Data/pose3/21/1.npy create mode 100644 MP_Data/pose3/21/10.npy create mode 100644 MP_Data/pose3/21/11.npy create mode 100644 MP_Data/pose3/21/12.npy create mode 100644 MP_Data/pose3/21/13.npy create mode 100644 MP_Data/pose3/21/14.npy create mode 100644 MP_Data/pose3/21/15.npy create mode 100644 MP_Data/pose3/21/16.npy create mode 100644 MP_Data/pose3/21/17.npy create mode 100644 MP_Data/pose3/21/18.npy create mode 100644 MP_Data/pose3/21/19.npy create mode 100644 MP_Data/pose3/21/2.npy create mode 100644 MP_Data/pose3/21/20.npy create mode 100644 MP_Data/pose3/21/21.npy create mode 100644 MP_Data/pose3/21/22.npy create mode 100644 MP_Data/pose3/21/23.npy create mode 100644 MP_Data/pose3/21/24.npy create mode 100644 MP_Data/pose3/21/25.npy create mode 100644 MP_Data/pose3/21/26.npy create mode 100644 MP_Data/pose3/21/27.npy create mode 100644 MP_Data/pose3/21/28.npy create mode 100644 MP_Data/pose3/21/29.npy create mode 100644 MP_Data/pose3/21/3.npy create mode 100644 MP_Data/pose3/21/4.npy create mode 100644 MP_Data/pose3/21/5.npy create mode 100644 MP_Data/pose3/21/6.npy create mode 100644 MP_Data/pose3/21/7.npy create mode 100644 MP_Data/pose3/21/8.npy create mode 100644 MP_Data/pose3/21/9.npy create mode 100644 MP_Data/pose3/22/0.npy create mode 100644 MP_Data/pose3/22/1.npy create mode 100644 MP_Data/pose3/22/10.npy create mode 100644 MP_Data/pose3/22/11.npy create mode 100644 MP_Data/pose3/22/12.npy create mode 100644 MP_Data/pose3/22/13.npy create mode 100644 MP_Data/pose3/22/14.npy create mode 100644 MP_Data/pose3/22/15.npy create mode 100644 MP_Data/pose3/22/16.npy create mode 100644 MP_Data/pose3/22/17.npy create mode 100644 MP_Data/pose3/22/18.npy create mode 100644 MP_Data/pose3/22/19.npy create mode 100644 MP_Data/pose3/22/2.npy create mode 100644 MP_Data/pose3/22/20.npy create mode 100644 MP_Data/pose3/22/21.npy create mode 100644 MP_Data/pose3/22/22.npy create mode 100644 MP_Data/pose3/22/23.npy create mode 100644 MP_Data/pose3/22/24.npy create mode 100644 MP_Data/pose3/22/25.npy create mode 100644 MP_Data/pose3/22/26.npy create mode 100644 MP_Data/pose3/22/27.npy create mode 100644 MP_Data/pose3/22/28.npy create mode 100644 MP_Data/pose3/22/29.npy create mode 100644 MP_Data/pose3/22/3.npy create mode 100644 MP_Data/pose3/22/4.npy create mode 100644 MP_Data/pose3/22/5.npy create mode 100644 MP_Data/pose3/22/6.npy create mode 100644 MP_Data/pose3/22/7.npy create mode 100644 MP_Data/pose3/22/8.npy create mode 100644 MP_Data/pose3/22/9.npy create mode 100644 MP_Data/pose3/23/0.npy create mode 100644 MP_Data/pose3/23/1.npy create mode 100644 MP_Data/pose3/23/10.npy create mode 100644 MP_Data/pose3/23/11.npy create mode 100644 MP_Data/pose3/23/12.npy create mode 100644 MP_Data/pose3/23/13.npy create mode 100644 MP_Data/pose3/23/14.npy create mode 100644 MP_Data/pose3/23/15.npy create mode 100644 MP_Data/pose3/23/16.npy create mode 100644 MP_Data/pose3/23/17.npy create mode 100644 MP_Data/pose3/23/18.npy create mode 100644 MP_Data/pose3/23/19.npy create mode 100644 MP_Data/pose3/23/2.npy create mode 100644 MP_Data/pose3/23/20.npy create mode 100644 MP_Data/pose3/23/21.npy create mode 100644 MP_Data/pose3/23/22.npy create mode 100644 MP_Data/pose3/23/23.npy create mode 100644 MP_Data/pose3/23/24.npy create mode 100644 MP_Data/pose3/23/25.npy create mode 100644 MP_Data/pose3/23/26.npy create mode 100644 MP_Data/pose3/23/27.npy create mode 100644 MP_Data/pose3/23/28.npy create mode 100644 MP_Data/pose3/23/29.npy create mode 100644 MP_Data/pose3/23/3.npy create mode 100644 MP_Data/pose3/23/4.npy create mode 100644 MP_Data/pose3/23/5.npy create mode 100644 MP_Data/pose3/23/6.npy create mode 100644 MP_Data/pose3/23/7.npy create mode 100644 MP_Data/pose3/23/8.npy create mode 100644 MP_Data/pose3/23/9.npy create mode 100644 MP_Data/pose3/24/0.npy create mode 100644 MP_Data/pose3/24/1.npy create mode 100644 MP_Data/pose3/24/10.npy create mode 100644 MP_Data/pose3/24/11.npy create mode 100644 MP_Data/pose3/24/12.npy create mode 100644 MP_Data/pose3/24/13.npy create mode 100644 MP_Data/pose3/24/14.npy create mode 100644 MP_Data/pose3/24/15.npy create mode 100644 MP_Data/pose3/24/16.npy create mode 100644 MP_Data/pose3/24/17.npy create mode 100644 MP_Data/pose3/24/18.npy create mode 100644 MP_Data/pose3/24/19.npy create mode 100644 MP_Data/pose3/24/2.npy create mode 100644 MP_Data/pose3/24/20.npy create mode 100644 MP_Data/pose3/24/21.npy create mode 100644 MP_Data/pose3/24/22.npy create mode 100644 MP_Data/pose3/24/23.npy create mode 100644 MP_Data/pose3/24/24.npy create mode 100644 MP_Data/pose3/24/25.npy create mode 100644 MP_Data/pose3/24/26.npy create mode 100644 MP_Data/pose3/24/27.npy create mode 100644 MP_Data/pose3/24/28.npy create mode 100644 MP_Data/pose3/24/29.npy create mode 100644 MP_Data/pose3/24/3.npy create mode 100644 MP_Data/pose3/24/4.npy create mode 100644 MP_Data/pose3/24/5.npy create mode 100644 MP_Data/pose3/24/6.npy create mode 100644 MP_Data/pose3/24/7.npy create mode 100644 MP_Data/pose3/24/8.npy create mode 100644 MP_Data/pose3/24/9.npy create mode 100644 MP_Data/pose3/25/0.npy create mode 100644 MP_Data/pose3/25/1.npy create mode 100644 MP_Data/pose3/25/10.npy create mode 100644 MP_Data/pose3/25/11.npy create mode 100644 MP_Data/pose3/25/12.npy create mode 100644 MP_Data/pose3/25/13.npy create mode 100644 MP_Data/pose3/25/14.npy create mode 100644 MP_Data/pose3/25/15.npy create mode 100644 MP_Data/pose3/25/16.npy create mode 100644 MP_Data/pose3/25/17.npy create mode 100644 MP_Data/pose3/25/18.npy create mode 100644 MP_Data/pose3/25/19.npy create mode 100644 MP_Data/pose3/25/2.npy create mode 100644 MP_Data/pose3/25/20.npy create mode 100644 MP_Data/pose3/25/21.npy create mode 100644 MP_Data/pose3/25/22.npy create mode 100644 MP_Data/pose3/25/23.npy create mode 100644 MP_Data/pose3/25/24.npy create mode 100644 MP_Data/pose3/25/25.npy create mode 100644 MP_Data/pose3/25/26.npy create mode 100644 MP_Data/pose3/25/27.npy create mode 100644 MP_Data/pose3/25/28.npy create mode 100644 MP_Data/pose3/25/29.npy create mode 100644 MP_Data/pose3/25/3.npy create mode 100644 MP_Data/pose3/25/4.npy create mode 100644 MP_Data/pose3/25/5.npy create mode 100644 MP_Data/pose3/25/6.npy create mode 100644 MP_Data/pose3/25/7.npy create mode 100644 MP_Data/pose3/25/8.npy create mode 100644 MP_Data/pose3/25/9.npy create mode 100644 MP_Data/pose3/26/0.npy create mode 100644 MP_Data/pose3/26/1.npy create mode 100644 MP_Data/pose3/26/10.npy create mode 100644 MP_Data/pose3/26/11.npy create mode 100644 MP_Data/pose3/26/12.npy create mode 100644 MP_Data/pose3/26/13.npy create mode 100644 MP_Data/pose3/26/14.npy create mode 100644 MP_Data/pose3/26/15.npy create mode 100644 MP_Data/pose3/26/16.npy create mode 100644 MP_Data/pose3/26/17.npy create mode 100644 MP_Data/pose3/26/18.npy create mode 100644 MP_Data/pose3/26/19.npy create mode 100644 MP_Data/pose3/26/2.npy create mode 100644 MP_Data/pose3/26/20.npy create mode 100644 MP_Data/pose3/26/21.npy create mode 100644 MP_Data/pose3/26/22.npy create mode 100644 MP_Data/pose3/26/23.npy create mode 100644 MP_Data/pose3/26/24.npy create mode 100644 MP_Data/pose3/26/25.npy create mode 100644 MP_Data/pose3/26/26.npy create mode 100644 MP_Data/pose3/26/27.npy create mode 100644 MP_Data/pose3/26/28.npy create mode 100644 MP_Data/pose3/26/29.npy create mode 100644 MP_Data/pose3/26/3.npy create mode 100644 MP_Data/pose3/26/4.npy create mode 100644 MP_Data/pose3/26/5.npy create mode 100644 MP_Data/pose3/26/6.npy create mode 100644 MP_Data/pose3/26/7.npy create mode 100644 MP_Data/pose3/26/8.npy create mode 100644 MP_Data/pose3/26/9.npy create mode 100644 MP_Data/pose3/27/0.npy create mode 100644 MP_Data/pose3/27/1.npy create mode 100644 MP_Data/pose3/27/10.npy create mode 100644 MP_Data/pose3/27/11.npy create mode 100644 MP_Data/pose3/27/12.npy create mode 100644 MP_Data/pose3/27/13.npy create mode 100644 MP_Data/pose3/27/14.npy create mode 100644 MP_Data/pose3/27/15.npy create mode 100644 MP_Data/pose3/27/16.npy create mode 100644 MP_Data/pose3/27/17.npy create mode 100644 MP_Data/pose3/27/18.npy create mode 100644 MP_Data/pose3/27/19.npy create mode 100644 MP_Data/pose3/27/2.npy create mode 100644 MP_Data/pose3/27/20.npy create mode 100644 MP_Data/pose3/27/21.npy create mode 100644 MP_Data/pose3/27/22.npy create mode 100644 MP_Data/pose3/27/23.npy create mode 100644 MP_Data/pose3/27/24.npy create mode 100644 MP_Data/pose3/27/25.npy create mode 100644 MP_Data/pose3/27/26.npy create mode 100644 MP_Data/pose3/27/27.npy create mode 100644 MP_Data/pose3/27/28.npy create mode 100644 MP_Data/pose3/27/29.npy create mode 100644 MP_Data/pose3/27/3.npy create mode 100644 MP_Data/pose3/27/4.npy create mode 100644 MP_Data/pose3/27/5.npy create mode 100644 MP_Data/pose3/27/6.npy create mode 100644 MP_Data/pose3/27/7.npy create mode 100644 MP_Data/pose3/27/8.npy create mode 100644 MP_Data/pose3/27/9.npy create mode 100644 MP_Data/pose3/28/0.npy create mode 100644 MP_Data/pose3/28/1.npy create mode 100644 MP_Data/pose3/28/10.npy create mode 100644 MP_Data/pose3/28/11.npy create mode 100644 MP_Data/pose3/28/12.npy create mode 100644 MP_Data/pose3/28/13.npy create mode 100644 MP_Data/pose3/28/14.npy create mode 100644 MP_Data/pose3/28/15.npy create mode 100644 MP_Data/pose3/28/16.npy create mode 100644 MP_Data/pose3/28/17.npy create mode 100644 MP_Data/pose3/28/18.npy create mode 100644 MP_Data/pose3/28/19.npy create mode 100644 MP_Data/pose3/28/2.npy create mode 100644 MP_Data/pose3/28/20.npy create mode 100644 MP_Data/pose3/28/21.npy create mode 100644 MP_Data/pose3/28/22.npy create mode 100644 MP_Data/pose3/28/23.npy create mode 100644 MP_Data/pose3/28/24.npy create mode 100644 MP_Data/pose3/28/25.npy create mode 100644 MP_Data/pose3/28/26.npy create mode 100644 MP_Data/pose3/28/27.npy create mode 100644 MP_Data/pose3/28/28.npy create mode 100644 MP_Data/pose3/28/29.npy create mode 100644 MP_Data/pose3/28/3.npy create mode 100644 MP_Data/pose3/28/4.npy create mode 100644 MP_Data/pose3/28/5.npy create mode 100644 MP_Data/pose3/28/6.npy create mode 100644 MP_Data/pose3/28/7.npy create mode 100644 MP_Data/pose3/28/8.npy create mode 100644 MP_Data/pose3/28/9.npy create mode 100644 MP_Data/pose3/29/0.npy create mode 100644 MP_Data/pose3/29/1.npy create mode 100644 MP_Data/pose3/29/10.npy create mode 100644 MP_Data/pose3/29/11.npy create mode 100644 MP_Data/pose3/29/12.npy create mode 100644 MP_Data/pose3/29/13.npy create mode 100644 MP_Data/pose3/29/14.npy create mode 100644 MP_Data/pose3/29/15.npy create mode 100644 MP_Data/pose3/29/16.npy create mode 100644 MP_Data/pose3/29/17.npy create mode 100644 MP_Data/pose3/29/18.npy create mode 100644 MP_Data/pose3/29/19.npy create mode 100644 MP_Data/pose3/29/2.npy create mode 100644 MP_Data/pose3/29/20.npy create mode 100644 MP_Data/pose3/29/21.npy create mode 100644 MP_Data/pose3/29/22.npy create mode 100644 MP_Data/pose3/29/23.npy create mode 100644 MP_Data/pose3/29/24.npy create mode 100644 MP_Data/pose3/29/25.npy create mode 100644 MP_Data/pose3/29/26.npy create mode 100644 MP_Data/pose3/29/27.npy create mode 100644 MP_Data/pose3/29/28.npy create mode 100644 MP_Data/pose3/29/29.npy create mode 100644 MP_Data/pose3/29/3.npy create mode 100644 MP_Data/pose3/29/4.npy create mode 100644 MP_Data/pose3/29/5.npy create mode 100644 MP_Data/pose3/29/6.npy create mode 100644 MP_Data/pose3/29/7.npy create mode 100644 MP_Data/pose3/29/8.npy create mode 100644 MP_Data/pose3/29/9.npy create mode 100644 MP_Data/pose3/3/0.npy create mode 100644 MP_Data/pose3/3/1.npy create mode 100644 MP_Data/pose3/3/10.npy create mode 100644 MP_Data/pose3/3/11.npy create mode 100644 MP_Data/pose3/3/12.npy create mode 100644 MP_Data/pose3/3/13.npy create mode 100644 MP_Data/pose3/3/14.npy create mode 100644 MP_Data/pose3/3/15.npy create mode 100644 MP_Data/pose3/3/16.npy create mode 100644 MP_Data/pose3/3/17.npy create mode 100644 MP_Data/pose3/3/18.npy create mode 100644 MP_Data/pose3/3/19.npy create mode 100644 MP_Data/pose3/3/2.npy create mode 100644 MP_Data/pose3/3/20.npy create mode 100644 MP_Data/pose3/3/21.npy create mode 100644 MP_Data/pose3/3/22.npy create mode 100644 MP_Data/pose3/3/23.npy create mode 100644 MP_Data/pose3/3/24.npy create mode 100644 MP_Data/pose3/3/25.npy create mode 100644 MP_Data/pose3/3/26.npy create mode 100644 MP_Data/pose3/3/27.npy create mode 100644 MP_Data/pose3/3/28.npy create mode 100644 MP_Data/pose3/3/29.npy create mode 100644 MP_Data/pose3/3/3.npy create mode 100644 MP_Data/pose3/3/4.npy create mode 100644 MP_Data/pose3/3/5.npy create mode 100644 MP_Data/pose3/3/6.npy create mode 100644 MP_Data/pose3/3/7.npy create mode 100644 MP_Data/pose3/3/8.npy create mode 100644 MP_Data/pose3/3/9.npy create mode 100644 MP_Data/pose3/4/0.npy create mode 100644 MP_Data/pose3/4/1.npy create mode 100644 MP_Data/pose3/4/10.npy create mode 100644 MP_Data/pose3/4/11.npy create mode 100644 MP_Data/pose3/4/12.npy create mode 100644 MP_Data/pose3/4/13.npy create mode 100644 MP_Data/pose3/4/14.npy create mode 100644 MP_Data/pose3/4/15.npy create mode 100644 MP_Data/pose3/4/16.npy create mode 100644 MP_Data/pose3/4/17.npy create mode 100644 MP_Data/pose3/4/18.npy create mode 100644 MP_Data/pose3/4/19.npy create mode 100644 MP_Data/pose3/4/2.npy create mode 100644 MP_Data/pose3/4/20.npy create mode 100644 MP_Data/pose3/4/21.npy create mode 100644 MP_Data/pose3/4/22.npy create mode 100644 MP_Data/pose3/4/23.npy create mode 100644 MP_Data/pose3/4/24.npy create mode 100644 MP_Data/pose3/4/25.npy create mode 100644 MP_Data/pose3/4/26.npy create mode 100644 MP_Data/pose3/4/27.npy create mode 100644 MP_Data/pose3/4/28.npy create mode 100644 MP_Data/pose3/4/29.npy create mode 100644 MP_Data/pose3/4/3.npy create mode 100644 MP_Data/pose3/4/4.npy create mode 100644 MP_Data/pose3/4/5.npy create mode 100644 MP_Data/pose3/4/6.npy create mode 100644 MP_Data/pose3/4/7.npy create mode 100644 MP_Data/pose3/4/8.npy create mode 100644 MP_Data/pose3/4/9.npy create mode 100644 MP_Data/pose3/5/0.npy create mode 100644 MP_Data/pose3/5/1.npy create mode 100644 MP_Data/pose3/5/10.npy create mode 100644 MP_Data/pose3/5/11.npy create mode 100644 MP_Data/pose3/5/12.npy create mode 100644 MP_Data/pose3/5/13.npy create mode 100644 MP_Data/pose3/5/14.npy create mode 100644 MP_Data/pose3/5/15.npy create mode 100644 MP_Data/pose3/5/16.npy create mode 100644 MP_Data/pose3/5/17.npy create mode 100644 MP_Data/pose3/5/18.npy create mode 100644 MP_Data/pose3/5/19.npy create mode 100644 MP_Data/pose3/5/2.npy create mode 100644 MP_Data/pose3/5/20.npy create mode 100644 MP_Data/pose3/5/21.npy create mode 100644 MP_Data/pose3/5/22.npy create mode 100644 MP_Data/pose3/5/23.npy create mode 100644 MP_Data/pose3/5/24.npy create mode 100644 MP_Data/pose3/5/25.npy create mode 100644 MP_Data/pose3/5/26.npy create mode 100644 MP_Data/pose3/5/27.npy create mode 100644 MP_Data/pose3/5/28.npy create mode 100644 MP_Data/pose3/5/29.npy create mode 100644 MP_Data/pose3/5/3.npy create mode 100644 MP_Data/pose3/5/4.npy create mode 100644 MP_Data/pose3/5/5.npy create mode 100644 MP_Data/pose3/5/6.npy create mode 100644 MP_Data/pose3/5/7.npy create mode 100644 MP_Data/pose3/5/8.npy create mode 100644 MP_Data/pose3/5/9.npy create mode 100644 MP_Data/pose3/6/0.npy create mode 100644 MP_Data/pose3/6/1.npy create mode 100644 MP_Data/pose3/6/10.npy create mode 100644 MP_Data/pose3/6/11.npy create mode 100644 MP_Data/pose3/6/12.npy create mode 100644 MP_Data/pose3/6/13.npy create mode 100644 MP_Data/pose3/6/14.npy create mode 100644 MP_Data/pose3/6/15.npy create mode 100644 MP_Data/pose3/6/16.npy create mode 100644 MP_Data/pose3/6/17.npy create mode 100644 MP_Data/pose3/6/18.npy create mode 100644 MP_Data/pose3/6/19.npy create mode 100644 MP_Data/pose3/6/2.npy create mode 100644 MP_Data/pose3/6/20.npy create mode 100644 MP_Data/pose3/6/21.npy create mode 100644 MP_Data/pose3/6/22.npy create mode 100644 MP_Data/pose3/6/23.npy create mode 100644 MP_Data/pose3/6/24.npy create mode 100644 MP_Data/pose3/6/25.npy create mode 100644 MP_Data/pose3/6/26.npy create mode 100644 MP_Data/pose3/6/27.npy create mode 100644 MP_Data/pose3/6/28.npy create mode 100644 MP_Data/pose3/6/29.npy create mode 100644 MP_Data/pose3/6/3.npy create mode 100644 MP_Data/pose3/6/4.npy create mode 100644 MP_Data/pose3/6/5.npy create mode 100644 MP_Data/pose3/6/6.npy create mode 100644 MP_Data/pose3/6/7.npy create mode 100644 MP_Data/pose3/6/8.npy create mode 100644 MP_Data/pose3/6/9.npy create mode 100644 MP_Data/pose3/7/0.npy create mode 100644 MP_Data/pose3/7/1.npy create mode 100644 MP_Data/pose3/7/10.npy create mode 100644 MP_Data/pose3/7/11.npy create mode 100644 MP_Data/pose3/7/12.npy create mode 100644 MP_Data/pose3/7/13.npy create mode 100644 MP_Data/pose3/7/14.npy create mode 100644 MP_Data/pose3/7/15.npy create mode 100644 MP_Data/pose3/7/16.npy create mode 100644 MP_Data/pose3/7/17.npy create mode 100644 MP_Data/pose3/7/18.npy create mode 100644 MP_Data/pose3/7/19.npy create mode 100644 MP_Data/pose3/7/2.npy create mode 100644 MP_Data/pose3/7/20.npy create mode 100644 MP_Data/pose3/7/21.npy create mode 100644 MP_Data/pose3/7/22.npy create mode 100644 MP_Data/pose3/7/23.npy create mode 100644 MP_Data/pose3/7/24.npy create mode 100644 MP_Data/pose3/7/25.npy create mode 100644 MP_Data/pose3/7/26.npy create mode 100644 MP_Data/pose3/7/27.npy create mode 100644 MP_Data/pose3/7/28.npy create mode 100644 MP_Data/pose3/7/29.npy create mode 100644 MP_Data/pose3/7/3.npy create mode 100644 MP_Data/pose3/7/4.npy create mode 100644 MP_Data/pose3/7/5.npy create mode 100644 MP_Data/pose3/7/6.npy create mode 100644 MP_Data/pose3/7/7.npy create mode 100644 MP_Data/pose3/7/8.npy create mode 100644 MP_Data/pose3/7/9.npy create mode 100644 MP_Data/pose3/8/0.npy create mode 100644 MP_Data/pose3/8/1.npy create mode 100644 MP_Data/pose3/8/10.npy create mode 100644 MP_Data/pose3/8/11.npy create mode 100644 MP_Data/pose3/8/12.npy create mode 100644 MP_Data/pose3/8/13.npy create mode 100644 MP_Data/pose3/8/14.npy create mode 100644 MP_Data/pose3/8/15.npy create mode 100644 MP_Data/pose3/8/16.npy create mode 100644 MP_Data/pose3/8/17.npy create mode 100644 MP_Data/pose3/8/18.npy create mode 100644 MP_Data/pose3/8/19.npy create mode 100644 MP_Data/pose3/8/2.npy create mode 100644 MP_Data/pose3/8/20.npy create mode 100644 MP_Data/pose3/8/21.npy create mode 100644 MP_Data/pose3/8/22.npy create mode 100644 MP_Data/pose3/8/23.npy create mode 100644 MP_Data/pose3/8/24.npy create mode 100644 MP_Data/pose3/8/25.npy create mode 100644 MP_Data/pose3/8/26.npy create mode 100644 MP_Data/pose3/8/27.npy create mode 100644 MP_Data/pose3/8/28.npy create mode 100644 MP_Data/pose3/8/29.npy create mode 100644 MP_Data/pose3/8/3.npy create mode 100644 MP_Data/pose3/8/4.npy create mode 100644 MP_Data/pose3/8/5.npy create mode 100644 MP_Data/pose3/8/6.npy create mode 100644 MP_Data/pose3/8/7.npy create mode 100644 MP_Data/pose3/8/8.npy create mode 100644 MP_Data/pose3/8/9.npy create mode 100644 MP_Data/pose3/9/0.npy create mode 100644 MP_Data/pose3/9/1.npy create mode 100644 MP_Data/pose3/9/10.npy create mode 100644 MP_Data/pose3/9/11.npy create mode 100644 MP_Data/pose3/9/12.npy create mode 100644 MP_Data/pose3/9/13.npy create mode 100644 MP_Data/pose3/9/14.npy create mode 100644 MP_Data/pose3/9/15.npy create mode 100644 MP_Data/pose3/9/16.npy create mode 100644 MP_Data/pose3/9/17.npy create mode 100644 MP_Data/pose3/9/18.npy create mode 100644 MP_Data/pose3/9/19.npy create mode 100644 MP_Data/pose3/9/2.npy create mode 100644 MP_Data/pose3/9/20.npy create mode 100644 MP_Data/pose3/9/21.npy create mode 100644 MP_Data/pose3/9/22.npy create mode 100644 MP_Data/pose3/9/23.npy create mode 100644 MP_Data/pose3/9/24.npy create mode 100644 MP_Data/pose3/9/25.npy create mode 100644 MP_Data/pose3/9/26.npy create mode 100644 MP_Data/pose3/9/27.npy create mode 100644 MP_Data/pose3/9/28.npy create mode 100644 MP_Data/pose3/9/29.npy create mode 100644 MP_Data/pose3/9/3.npy create mode 100644 MP_Data/pose3/9/4.npy create mode 100644 MP_Data/pose3/9/5.npy create mode 100644 MP_Data/pose3/9/6.npy create mode 100644 MP_Data/pose3/9/7.npy create mode 100644 MP_Data/pose3/9/8.npy create mode 100644 MP_Data/pose3/9/9.npy diff --git a/0.npy b/0.npy deleted file mode 100644 index 078ec78b7d7a62cced2e23ac3e32896447918854..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 13424 zcmeI2_hZl3zsHZgiqtH(>X=cpv1;d3QKQu=H5%gBY9x}_2@VnwJ3_>YBSwwb5#K0s z%u;&*BS5kCs7@L`QfJ?IoN0x?Ad=n zP`^OWCfu{xz($@mx#vLtz>$G{{CfKb_8;JQn?A#W24wM|!F@&y$hxoQ)v#gRnqSuB z6Zrr3UqQy08GqV(XI**Tb60Rp7-5sM?#0WGkKDa^`vL8$=$cFJUgrBb)wP=pYL|V! zzu~y(8iRI`*%9qLGyC}>F=*HQXQG{TZG(39B>VX$e_Y4&|H(kRsrTlZ)3*<@pWm_I z8rnta%kIkVKSjGt&u;%X{~yOySVy$WO0UqaY|d#I@`bZMK8L0Y0_`w8h83ca@IW$dV~CH->MHCH_MOSbyvMV#}(Hu zm5j>UuC*>mhb@m^Rs{9dDCFcE7#5jRlAGlhkZnUtlaba zj*CaFFSx6ne&mU3H)xaZZg>o;-l<&XSZqo2EbRj|MgcjaA2t#eoQd z0$nqg_O;U*))cV4kLxZTK~I5|1aah2y&a8qM+DxS~Z zE6Qne}Q9O@(Y!q&%eJ#>(!IH zs0UjuJkr_AGMAAD*<>B@f%hjmZu*{ry*}Ivbt-+|M>wvU(z<5`jY2+ofwHq57d{(c zuQFDj^>)u^z8>wkK0tXek3*0LyRr8I=%{iOZ|;NO@?bjr(FKZ=|4BE9H<=85cDpn< zKky00U6ooe)9IN1kdD0A6`a*Du;(i{>32+^IvK|2!M^0@;HnO-KkVpCvNyS?-`rgh z2W#jt!P&DDwZZkRQWzJtB}qHZtKNZ~9LvGQ(%Xxn-|Qu=hsz#g-s*^r89q?}bpu+2UT{rgJ}Vb$VBr<96FpjF*}C1mmSPq)&33 z`zKNSkIKScC*&Ok{kB_3|C}Gjk=6SLd9%+Nl0Umb!0q+f(3jn-!(PmvLG~9r%tF7L zkD_0(;~2QUHVgG&zx|T@$(%-hUKugg*=tq=`LVqzuQH|bWcYKN{Ff((!GBX~$vDUP zh$mF9C2B)Q_|}T_&f@0sFyz-XEJ|^0{M6Uk%LaqtzdAPz^=}`3F&BK{4eIw^If|o8 z&P9$ZpWER2{Y7wjE+WctF(it3u8H8bc&}*3x#Uz7%0Sl)n}qd2UuZ|;vY->V{Cy8}^rLD^pcC*7xIXqPI6v(b)Y2I18VII zl@iv|^&<+>d|^Q|(Lay)0sh+>YY-RrIt9*B z{Nbnk!=K{KD1bObT1mtukIn>Fg_@v$6ZaeO#Z|y{%~6z3&osm(ZngxsGslCgHM3BM z_COtQwyZPh?@Fa{@4kifXP!YEcKX{`7nca5ao11Fz~1(~G{&vT-dyp(RrYNd3H>LQ>_*Xg%(o9f{p)4_ zf~$eQ!XNWR39_Gm6I_h^FN)VQ67_HEj|Jy-yutPUSF}$J3?lu1x|98`y6{sT9t^J6 z%>?J6ElK|;A8^(5FXAVoDXs%0!R?AtG>#*-z)zJhl;-&jS|9AzrE9&j;+0|Lu`Zd< zT3{S?Vy74vuN>2bbV~gIeHmW|`wM%~k^EWiOZ|4ciG76seU$vkoJ;kvx)Ih5uDX-` zS5&9k=SRvz>Rz&cJ{a5s!E^4RP?FDp1~9c|k{( z*h=-jV;pqYg2&M14OX3VajN_;N4dB}AzH^wwLdVAbPGCf$jgHCYrVMO>`h!6>RCMZ zB>m^KPRJ`O;g77>hWw9cOY6-uQJY&~9L0Y^;V0`hobt9JVTIEX<5F?YYOkYyZ z*Te3Bi{t6wtjuQQN9DPLe5#x~z(vQ7SO;{mxl}iMIuZA-Me$C}OL>dVr1M7D3!E!h z!g_GMn9e^kT~hs*FG1tmO~7B#zE?lzr&*@K)!yRB1D`w^I^r>%!+9p1_vG=0E1kV= z@)h*O#)haXlhPIIiSTQQd*)r3#^s-DtGu)9<@HA7&)@UN&ko&i-m`6J+yUO>mDO-?AKMK zQ{`?CXD{DxC!N>fc+N(bLR{?2E_hxY97yet=8bVWGXFc|NA5fXZhF3nbX;sJNO}C& z16O;p#{$Rgm;l&|sEgEpvy5quv#af3r{^SIboYGd9B>hO2XBBxgOR`adDvLC4^~+C7=hrFB!F&pf_Hp4su#0j?i8Xeg~~_0o|Cd7uI6 zho8Fwt{1)pSMlekIDMI?F5(ok;;5f{{h^T4u-+)aN*8_SlFvmK>e_o>*xM_PI_N-AU ztYfPCGt?X3Q6Bz?vu`jic0dTm)%@BS_BQ0D{AhS%s{$m*ECyf(epNZ;z{UsXIt`|r2Elm3Pt;MQX>)>RXv z!NtH;C_|4qN_`-t|?(SAGVyw{Z8Q*4*k z;HFt3?T-cO(DPTlz}1jZIM48_8tACIq{4iFfPoG&OhpO9rQ0=O6;4)=10FGI0f}0 zMjpj?DZ8KE6UE|s(6M_v(R_K`0R8F-w2z6*MVJ>ljrJokL}J{P?{cjFx(=<&Jnb^A zd+lDLo=xd@q%(3O?K{!!sm}BHQCx?A#XRHHJJNZ+@JDcVlD?Oy2{|#pOgf`_J--9( zwoPT!ExWxO_ombVTt!GU{1mATDE?P;{?Xm$(Yo3{72GW8je29JZXrKB(a?D99STWE}-?ckwKlPYKelDtsIJBvV z^+*2h4K6DlK^|0(IMl7|v=IF={{ZqQZ35>j<>nw7W4y1Ej7uEKn@fn%X(?tMDn+3Shrpvy9w zgY!0CIB%%b-tf=fp!1Tx{s{An)rzHf-|vDRKi(hTsf;hZ7l;c_!S#m6i(S9GE5*Z? z(t9(1KRgb+T4CsjH!CkXKV-^0oLl%_~NBMk#@l_R1kxs7jR7ZEh!Ff@tV|BSF z?9Fd)=EKkL-oxJX^8lAKEbL9fbJF>{A-KNM1a)G17YFA-DGo9akB?;JQO@ZUyHVjlk`M{-`%~`#S0CD&Xo^a5VHL6oJ0ny@UMOwQhyuqG%`5 ze_ROmW@fpWu=hPgItRw0{@IjY=7E=-3C;_kTzFF)zuT>YE+e+w{r8bWP4_^TtrFLU{)FvP0xEfpx_F_yc_-}fR)sEZP;ozqA zMsR+y(hkQ(ozCE_F8!{_QpE3$v$e;eZzJ-e4p{)3@veOws{_{h$PV#AiLmX#u1IT{OUfA=`4`LsYttWu1 z*mK}ES4Y_Miig3)0s6jVUoV*A{8UdQ*}vWl{{`!|(&@{~gTdv_+~Dd)1I$NJtP|y- zs3-ET&yS3CIx?>>=>*Vwt7?0ApyQ_Za&TTE5IXv1^fae$*DL^Mg^H7Ykpq|)B4=yp zn{L;!uCRt*$2c8*rZeeRuSx6To3SgLj(+zB++JRr;_TR;Rl?lWKBanKo=3p#f>%+F z^U>{~FW<~K@9xbnE#uu)?yO5XXIddHb9mk8U4OSWyB9Y0%wH>1UoKXw4}JikBC=!6u`XD{!y@(%l1>hd-qLr{i?p}!1=<% zuouU6^>jL_M*_I&AY$WZp-;^boO=yjXQffi1J)vHuh7#drY=| zDDe*MXue#X2hMw}Ctjoah~z9CJ@Geiv->0RAkLkFy{JWbum@k0{hfiz^(#wd&%3V+ zV?UHNy!(NlpnQs?o3J9e1{vpuHYrA92q z3Y_0gzHr-zxCwEO>(H0EzX7*f>GvJo_%!mPPG{Hc!3@gJuLFBKeUmnY{OOnr zI_CSDc#oE?DgSnTEz-YMp57xWE`hx{)(>3#*+|0Ae#zkM6OH*IFJ-p(cK)|*ih3~r zF2Q^kC5G>IT+RriezW~CQeE$&FLuoQ~P_DY!Ux5c5UNT)l|=&rke=2j+zgtOtD+Pw%&U z;&tTH=I9>a?9~>Em(T1Adp@Q(&LN`65Aaj3px;N#+%{B)1*jgxtDR@j->P!M-BtHy z=+}&Shkek*&sqxoKwofMZ7KFy5kG7V_>6|o=PPf(UdDJ~-xuv0lK;i;V*QkTpK51s z69whd?>2P!*_S^jyF7eOFeMH^<6a9*xd}$nOFUC2hK@d32=&Gf z?Ol5Cb4D6YQa;g6j10QI1EM1Zs3 z=c*&aGyi!(hpInJL4 zgUh~iDGz_8?r>aGq0R| z+{@N=5tkkGK04X?Q$KsY=a__k&G^A1oQ|$Mg#78ehvJo`>HLuYI&?(resKM^?IQSD zbUXDo@hb6>3!bjeiIkDicSC&_d1oPG8J=N$8J z8}8+Xyu?j!%r7?JGTr+mSl6GbRuXwOo2P>7#VO=}zMPS+-FWo?XN9xly2>$*T+zOx zM{FYhe^%h;(E#!@bQSWy1MmB?ES*Et;JkFMYtfGOg@CuP7X!N? z&-RBJE8%DPGvNBnR?5Fu39LUdg1-CnyiAA_X+r^VtPj_z_EqI_um#y2^O^UFct zvePVzD=;F^aWf=)Utqb&pHs;+kLuF=5`+3uyuAux9b%zEkq{C9vM|N%UUN zI@9-QbG!?kA4Yn?-sU`lakTq=mpeb%3wj^XC&ywO<&B%zM|el_hi{|ruDW>IbZ2j` z(R|aMb1)zIvDh)rf2qO|mpD6>@|-tuA>wLA?-4qJ-n(u6HCShO#$?#r1bQzv0i~BY zdwsGc>3m#=b<$L9jrwFF8eFaG04{t^O@Tjo=v->jy})hXQy4E%A^W>W)$H$+4`(1h zY+xPaK{px?dwuw8tdr_YJ#ck2nCiCL3Y=SX>Nv9ZEQ5IMkYiX+J$dQaD_b`WpY1>97yk=T*PKu-7Mw zO>o2ckTx3w5(Bv#`7Sj8;tVG{k zZPnwEj`N@CJ;)}`g*_kj^K!>oUD_8|$^&q-z4kKLhYlzG#CX!LcWE*BzEQ-z%VJ)r z^tqEAH`S^Ir#rZ_0RfZ1RxS7V~KoZ86%_>g%NB;q5 zuQmjGXX)$FCBUVi^E?}$vyI~_tswFvk5z%aF7Ao?w;|=hbbXFU~p6D-4TqT>C^*Tpm-8!~XBEILF0j z;o!F3^Fxk{$RPMH`p+eu-Xr!ouJY9*|KAow-gNc#(ANXXQvLk-;eoR=)muZ~EPA~b z`g@B}p4&ZxJ{y@H5AItTT=iNEeZFxS`M<{Nq0^Bwg3h}uYyW&D>>sWG*H3~@JFahr uZE&2&ya%`QmjC6r+EsG1<8pZG40mrl+aGaP-Le|#XZ`>G|NS4!z<&b(%Lb4D diff --git a/Action Detection Refined.ipynb b/Action Detection Refined.ipynb index e11afe1c2..0b3bd6573 100644 --- a/Action Detection Refined.ipynb +++ b/Action Detection Refined.ipynb @@ -9,7 +9,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 1, "metadata": {}, "outputs": [ { @@ -17,291 +17,34 @@ "output_type": "stream", "text": [ "Defaulting to user installation because normal site-packages is not writeable\n", - "Collecting tensorflow==2.12.0\n", - " Using cached tensorflow-2.12.0-cp311-cp311-win_amd64.whl (1.9 kB)\n", + "Requirement already satisfied: tensorflow==2.12.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (2.12.0)\n", "Requirement already satisfied: opencv-python in c:\\programdata\\anaconda3\\lib\\site-packages (4.8.1.78)\n", "Requirement already satisfied: mediapipe in c:\\programdata\\anaconda3\\lib\\site-packages (0.10.7)\n", - "Collecting sklearn\n", - " Downloading sklearn-0.0.post11.tar.gz (3.6 kB)\n", - " Preparing metadata (setup.py): started\n", - " Preparing metadata (setup.py): finished with status 'done'\n", + "Requirement already satisfied: sklearn in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (0.0.post11)\n", "Requirement already satisfied: matplotlib in c:\\programdata\\anaconda3\\lib\\site-packages (3.7.2)\n", - "Collecting tensorflow-intel==2.12.0 (from tensorflow==2.12.0)\n", - " Downloading tensorflow_intel-2.12.0-cp311-cp311-win_amd64.whl (272.9 MB)\n", - " ---------------------------------------- 0.0/272.9 MB ? eta -:--:--\n", - " ---------------------------------------- 0.0/272.9 MB ? eta -:--:--\n", - " ---------------------------------------- 0.1/272.9 MB 1.1 MB/s eta 0:04:20\n", - " ---------------------------------------- 0.7/272.9 MB 5.2 MB/s eta 0:00:52\n", - " --------------------------------------- 2.7/272.9 MB 15.4 MB/s eta 0:00:18\n", - " -------------------------------------- 4.3/272.9 MB 19.5 MB/s eta 0:00:14\n", - " -------------------------------------- 5.2/272.9 MB 22.3 MB/s eta 0:00:13\n", - " -------------------------------------- 5.2/272.9 MB 22.3 MB/s eta 0:00:13\n", - " - ------------------------------------- 7.3/272.9 MB 20.3 MB/s eta 0:00:14\n", - " - ------------------------------------- 8.4/272.9 MB 21.4 MB/s eta 0:00:13\n", - " - ------------------------------------- 9.8/272.9 MB 21.5 MB/s eta 0:00:13\n", - " - ------------------------------------ 11.5/272.9 MB 29.7 MB/s eta 0:00:09\n", - " - ------------------------------------ 11.6/272.9 MB 25.2 MB/s eta 0:00:11\n", - " - ------------------------------------ 13.6/272.9 MB 25.2 MB/s eta 0:00:11\n", - " -- ----------------------------------- 15.1/272.9 MB 25.2 MB/s eta 0:00:11\n", - " -- ----------------------------------- 16.8/272.9 MB 29.7 MB/s eta 0:00:09\n", - " -- ----------------------------------- 17.8/272.9 MB 32.8 MB/s eta 0:00:08\n", - " -- ----------------------------------- 17.9/272.9 MB 26.2 MB/s eta 0:00:10\n", - " -- ----------------------------------- 18.9/272.9 MB 27.3 MB/s eta 0:00:10\n", - " -- ----------------------------------- 18.9/272.9 MB 27.3 MB/s eta 0:00:10\n", - " -- ----------------------------------- 19.0/272.9 MB 21.8 MB/s eta 0:00:12\n", - " -- ----------------------------------- 20.7/272.9 MB 20.5 MB/s eta 0:00:13\n", - " --- ---------------------------------- 24.1/272.9 MB 24.2 MB/s eta 0:00:11\n", - " --- ---------------------------------- 26.2/272.9 MB 27.3 MB/s eta 0:00:10\n", - " --- ---------------------------------- 27.3/272.9 MB 26.2 MB/s eta 0:00:10\n", - " ---- --------------------------------- 29.4/272.9 MB 43.7 MB/s eta 0:00:06\n", - " ---- --------------------------------- 30.9/272.9 MB 46.7 MB/s eta 0:00:06\n", - " ---- --------------------------------- 32.5/272.9 MB 38.5 MB/s eta 0:00:07\n", - " ---- --------------------------------- 33.9/272.9 MB 36.4 MB/s eta 0:00:07\n", - " ---- --------------------------------- 34.6/272.9 MB 36.4 MB/s eta 0:00:07\n", - " ---- --------------------------------- 35.6/272.9 MB 32.7 MB/s eta 0:00:08\n", - " ----- -------------------------------- 36.7/272.9 MB 28.5 MB/s eta 0:00:09\n", - " ----- -------------------------------- 38.0/272.9 MB 28.5 MB/s eta 0:00:09\n", - " ----- -------------------------------- 39.8/272.9 MB 28.4 MB/s eta 0:00:09\n", - " ----- -------------------------------- 41.9/272.9 MB 29.7 MB/s eta 0:00:08\n", - " ------ ------------------------------- 43.2/272.9 MB 29.7 MB/s eta 0:00:08\n", - " ------ ------------------------------- 45.1/272.9 MB 32.8 MB/s eta 0:00:07\n", - " ------ ------------------------------- 46.1/272.9 MB 34.4 MB/s eta 0:00:07\n", - " ------ ------------------------------- 47.8/272.9 MB 34.4 MB/s eta 0:00:07\n", - " ------ ------------------------------- 49.3/272.9 MB 34.4 MB/s eta 0:00:07\n", - " ------- ------------------------------ 50.3/272.9 MB 34.4 MB/s eta 0:00:07\n", - " ------- ------------------------------ 52.4/272.9 MB 32.7 MB/s eta 0:00:07\n", - " ------- ------------------------------ 53.5/272.9 MB 31.2 MB/s eta 0:00:08\n", - " ------- ------------------------------ 54.5/272.9 MB 31.2 MB/s eta 0:00:08\n", - " ------- ------------------------------ 54.5/272.9 MB 31.2 MB/s eta 0:00:08\n", - " ------- ------------------------------ 54.5/272.9 MB 31.2 MB/s eta 0:00:08\n", - " ------- ------------------------------ 55.1/272.9 MB 21.8 MB/s eta 0:00:10\n", - " ------- ------------------------------ 56.6/272.9 MB 23.4 MB/s eta 0:00:10\n", - " -------- ----------------------------- 58.2/272.9 MB 22.6 MB/s eta 0:00:10\n", - " -------- ----------------------------- 59.8/272.9 MB 22.6 MB/s eta 0:00:10\n", - " -------- ----------------------------- 61.9/272.9 MB 24.2 MB/s eta 0:00:09\n", - " -------- ----------------------------- 62.9/272.9 MB 23.4 MB/s eta 0:00:09\n", - " -------- ----------------------------- 64.0/272.9 MB 22.6 MB/s eta 0:00:10\n", - " --------- ---------------------------- 66.1/272.9 MB 36.3 MB/s eta 0:00:06\n", - " --------- ---------------------------- 66.1/272.9 MB 36.3 MB/s eta 0:00:06\n", - " --------- ---------------------------- 68.2/272.9 MB 31.2 MB/s eta 0:00:07\n", - " --------- ---------------------------- 69.5/272.9 MB 29.7 MB/s eta 0:00:07\n", - " --------- ---------------------------- 71.3/272.9 MB 31.2 MB/s eta 0:00:07\n", - " ---------- --------------------------- 73.4/272.9 MB 32.7 MB/s eta 0:00:07\n", - " ---------- --------------------------- 75.3/272.9 MB 32.7 MB/s eta 0:00:07\n", - " ---------- --------------------------- 77.0/272.9 MB 38.6 MB/s eta 0:00:06\n", - " ---------- --------------------------- 78.5/272.9 MB 38.6 MB/s eta 0:00:06\n", - " ---------- --------------------------- 78.6/272.9 MB 38.6 MB/s eta 0:00:06\n", - " ----------- -------------------------- 80.5/272.9 MB 34.6 MB/s eta 0:00:06\n", - " ----------- -------------------------- 82.3/272.9 MB 32.7 MB/s eta 0:00:06\n", - " ----------- -------------------------- 83.9/272.9 MB 34.4 MB/s eta 0:00:06\n", - " ----------- -------------------------- 84.9/272.9 MB 31.2 MB/s eta 0:00:07\n", - " ----------- -------------------------- 86.1/272.9 MB 28.4 MB/s eta 0:00:07\n", - " ------------ ------------------------- 88.1/272.9 MB 31.2 MB/s eta 0:00:06\n", - " ------------ ------------------------- 89.5/272.9 MB 32.8 MB/s eta 0:00:06\n", - " ------------ ------------------------- 91.2/272.9 MB 34.4 MB/s eta 0:00:06\n", - " ------------ ------------------------- 93.0/272.9 MB 31.2 MB/s eta 0:00:06\n", - " ------------ ------------------------- 93.3/272.9 MB 32.8 MB/s eta 0:00:06\n", - " ------------- ------------------------ 95.4/272.9 MB 34.4 MB/s eta 0:00:06\n", - " ------------- ------------------------ 96.8/272.9 MB 32.8 MB/s eta 0:00:06\n", - " ------------- ------------------------ 98.6/272.9 MB 34.4 MB/s eta 0:00:06\n", - " ------------- ------------------------ 99.6/272.9 MB 31.2 MB/s eta 0:00:06\n", - " ------------- ----------------------- 101.5/272.9 MB 32.7 MB/s eta 0:00:06\n", - " ------------- ----------------------- 103.0/272.9 MB 31.1 MB/s eta 0:00:06\n", - " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", - " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", - " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", - " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", - " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", - " -------------- ---------------------- 104.9/272.9 MB 36.4 MB/s eta 0:00:05\n", - " -------------- ---------------------- 105.9/272.9 MB 19.8 MB/s eta 0:00:09\n", - " -------------- ---------------------- 106.7/272.9 MB 18.2 MB/s eta 0:00:10\n", - " -------------- ---------------------- 108.0/272.9 MB 18.2 MB/s eta 0:00:10\n", - " -------------- ---------------------- 110.1/272.9 MB 18.7 MB/s eta 0:00:09\n", - " -------------- ---------------------- 110.4/272.9 MB 17.2 MB/s eta 0:00:10\n", - " --------------- --------------------- 112.4/272.9 MB 17.2 MB/s eta 0:00:10\n", - " --------------- --------------------- 114.3/272.9 MB 17.7 MB/s eta 0:00:09\n", - " --------------- --------------------- 115.9/272.9 MB 29.7 MB/s eta 0:00:06\n", - " --------------- --------------------- 117.5/272.9 MB 32.7 MB/s eta 0:00:05\n", - " ---------------- -------------------- 119.5/272.9 MB 34.4 MB/s eta 0:00:05\n", - " ---------------- -------------------- 120.6/272.9 MB 38.5 MB/s eta 0:00:04\n", - " ---------------- -------------------- 121.6/272.9 MB 36.4 MB/s eta 0:00:05\n", - " ---------------- -------------------- 123.0/272.9 MB 31.2 MB/s eta 0:00:05\n", - " ---------------- -------------------- 124.8/272.9 MB 34.6 MB/s eta 0:00:05\n", - " ---------------- -------------------- 124.9/272.9 MB 28.5 MB/s eta 0:00:06\n", - " ----------------- ------------------- 125.9/272.9 MB 28.5 MB/s eta 0:00:06\n", - " ----------------- ------------------- 126.3/272.9 MB 24.2 MB/s eta 0:00:07\n", - " ----------------- ------------------- 128.0/272.9 MB 24.2 MB/s eta 0:00:06\n", - " ----------------- ------------------- 129.8/272.9 MB 24.3 MB/s eta 0:00:06\n", - " ----------------- ------------------- 131.1/272.9 MB 25.1 MB/s eta 0:00:06\n", - " ------------------ ------------------ 132.9/272.9 MB 26.2 MB/s eta 0:00:06\n", - " ------------------ ------------------ 134.2/272.9 MB 28.4 MB/s eta 0:00:05\n", - " ------------------ ------------------ 136.3/272.9 MB 36.4 MB/s eta 0:00:04\n", - " ------------------ ------------------ 137.5/272.9 MB 34.4 MB/s eta 0:00:04\n", - " ------------------ ------------------ 139.5/272.9 MB 36.4 MB/s eta 0:00:04\n", - " ------------------- ----------------- 140.5/272.9 MB 36.4 MB/s eta 0:00:04\n", - " ------------------- ----------------- 141.6/272.9 MB 34.4 MB/s eta 0:00:04\n", - " ------------------- ----------------- 141.6/272.9 MB 34.4 MB/s eta 0:00:04\n", - " ------------------- ----------------- 142.6/272.9 MB 27.3 MB/s eta 0:00:05\n", - " ------------------- ----------------- 144.2/272.9 MB 26.2 MB/s eta 0:00:05\n", - " ------------------- ----------------- 145.1/272.9 MB 25.2 MB/s eta 0:00:06\n", - " ------------------- ----------------- 147.0/272.9 MB 26.2 MB/s eta 0:00:05\n", - " -------------------- ---------------- 148.7/272.9 MB 26.2 MB/s eta 0:00:05\n", - " -------------------- ---------------- 149.9/272.9 MB 27.3 MB/s eta 0:00:05\n", - " -------------------- ---------------- 150.4/272.9 MB 23.4 MB/s eta 0:00:06\n", - " -------------------- ---------------- 152.2/272.9 MB 29.7 MB/s eta 0:00:05\n", - " -------------------- ---------------- 153.6/272.9 MB 29.7 MB/s eta 0:00:05\n", - " --------------------- --------------- 154.9/272.9 MB 28.5 MB/s eta 0:00:05\n", - " --------------------- --------------- 155.2/272.9 MB 31.2 MB/s eta 0:00:04\n", - " --------------------- --------------- 156.7/272.9 MB 26.2 MB/s eta 0:00:05\n", - " --------------------- --------------- 158.4/272.9 MB 27.3 MB/s eta 0:00:05\n", - " --------------------- --------------- 160.2/272.9 MB 31.2 MB/s eta 0:00:04\n", - " --------------------- --------------- 160.4/272.9 MB 31.2 MB/s eta 0:00:04\n", - " --------------------- --------------- 161.4/272.9 MB 26.2 MB/s eta 0:00:05\n", - " --------------------- --------------- 161.5/272.9 MB 23.4 MB/s eta 0:00:05\n", - " ---------------------- -------------- 163.5/272.9 MB 24.2 MB/s eta 0:00:05\n", - " ---------------------- -------------- 165.2/272.9 MB 25.1 MB/s eta 0:00:05\n", - " ---------------------- -------------- 167.1/272.9 MB 28.4 MB/s eta 0:00:04\n", - " ---------------------- -------------- 168.9/272.9 MB 28.5 MB/s eta 0:00:04\n", - " ----------------------- ------------- 170.8/272.9 MB 34.4 MB/s eta 0:00:03\n", - " ----------------------- ------------- 172.0/272.9 MB 40.9 MB/s eta 0:00:03\n", - " ----------------------- ------------- 174.1/272.9 MB 38.5 MB/s eta 0:00:03\n", - " ----------------------- ------------- 175.5/272.9 MB 36.4 MB/s eta 0:00:03\n", - " ------------------------ ------------ 177.2/272.9 MB 36.4 MB/s eta 0:00:03\n", - " ------------------------ ------------ 179.3/272.9 MB 38.5 MB/s eta 0:00:03\n", - " ------------------------ ------------ 180.5/272.9 MB 36.3 MB/s eta 0:00:03\n", - " ------------------------ ------------ 181.4/272.9 MB 36.4 MB/s eta 0:00:03\n", - " ------------------------ ------------ 181.6/272.9 MB 28.5 MB/s eta 0:00:04\n", - " ------------------------ ------------ 183.5/272.9 MB 29.7 MB/s eta 0:00:04\n", - " ------------------------- ----------- 184.5/272.9 MB 29.8 MB/s eta 0:00:03\n", - " ------------------------- ----------- 185.6/272.9 MB 29.7 MB/s eta 0:00:03\n", - " ------------------------- ----------- 187.6/272.9 MB 28.4 MB/s eta 0:00:03\n", - " ------------------------- ----------- 189.1/272.9 MB 27.3 MB/s eta 0:00:04\n", - " ------------------------- ----------- 190.8/272.9 MB 28.5 MB/s eta 0:00:03\n", - " -------------------------- ---------- 192.8/272.9 MB 34.6 MB/s eta 0:00:03\n", - " -------------------------- ---------- 194.7/272.9 MB 34.4 MB/s eta 0:00:03\n", - " -------------------------- ---------- 196.6/272.9 MB 38.6 MB/s eta 0:00:02\n", - " -------------------------- ---------- 198.6/272.9 MB 40.9 MB/s eta 0:00:02\n", - " --------------------------- --------- 200.3/272.9 MB 40.9 MB/s eta 0:00:02\n", - " --------------------------- --------- 202.4/272.9 MB 40.9 MB/s eta 0:00:02\n", - " --------------------------- --------- 203.4/272.9 MB 40.9 MB/s eta 0:00:02\n", - " --------------------------- --------- 205.5/272.9 MB 38.5 MB/s eta 0:00:02\n", - " ---------------------------- -------- 206.6/272.9 MB 36.4 MB/s eta 0:00:02\n", - " ---------------------------- -------- 207.7/272.9 MB 32.8 MB/s eta 0:00:02\n", - " ---------------------------- -------- 209.7/272.9 MB 34.4 MB/s eta 0:00:02\n", - " ---------------------------- -------- 211.2/272.9 MB 32.8 MB/s eta 0:00:02\n", - " ---------------------------- -------- 212.9/272.9 MB 34.4 MB/s eta 0:00:02\n", - " ---------------------------- -------- 213.8/272.9 MB 31.2 MB/s eta 0:00:02\n", - " ----------------------------- ------- 215.4/272.9 MB 29.7 MB/s eta 0:00:02\n", - " ----------------------------- ------- 217.5/272.9 MB 32.7 MB/s eta 0:00:02\n", - " ----------------------------- ------- 219.1/272.9 MB 36.4 MB/s eta 0:00:02\n", - " ----------------------------- ------- 220.9/272.9 MB 34.4 MB/s eta 0:00:02\n", - " ------------------------------ ------ 222.4/272.9 MB 32.8 MB/s eta 0:00:02\n", - " ------------------------------ ------ 224.4/272.9 MB 40.9 MB/s eta 0:00:02\n", - " ------------------------------ ------ 226.0/272.9 MB 38.6 MB/s eta 0:00:02\n", - " ------------------------------ ------ 227.5/272.9 MB 38.6 MB/s eta 0:00:02\n", - " ------------------------------ ------ 228.6/272.9 MB 34.4 MB/s eta 0:00:02\n", - " ------------------------------- ----- 230.2/272.9 MB 32.7 MB/s eta 0:00:02\n", - " ------------------------------- ----- 231.7/272.9 MB 34.4 MB/s eta 0:00:02\n", - " ------------------------------- ----- 233.3/272.9 MB 31.2 MB/s eta 0:00:02\n", - " ------------------------------- ----- 233.8/272.9 MB 34.4 MB/s eta 0:00:02\n", - " ------------------------------- ----- 234.3/272.9 MB 27.3 MB/s eta 0:00:02\n", - " ------------------------------- ----- 234.9/272.9 MB 27.3 MB/s eta 0:00:02\n", - " ------------------------------- ----- 234.9/272.9 MB 21.8 MB/s eta 0:00:02\n", - " -------------------------------- ---- 237.0/272.9 MB 23.4 MB/s eta 0:00:02\n", - " -------------------------------- ---- 238.4/272.9 MB 24.2 MB/s eta 0:00:02\n", - " -------------------------------- ---- 240.1/272.9 MB 24.2 MB/s eta 0:00:02\n", - " -------------------------------- ---- 241.3/272.9 MB 23.4 MB/s eta 0:00:02\n", - " --------------------------------- --- 243.6/272.9 MB 25.1 MB/s eta 0:00:02\n", - " --------------------------------- --- 245.4/272.9 MB 38.6 MB/s eta 0:00:01\n", - " --------------------------------- --- 247.5/272.9 MB 38.6 MB/s eta 0:00:01\n", - " --------------------------------- --- 248.5/272.9 MB 38.5 MB/s eta 0:00:01\n", - " --------------------------------- --- 250.6/272.9 MB 38.5 MB/s eta 0:00:01\n", - " --------------------------------- --- 250.6/272.9 MB 32.7 MB/s eta 0:00:01\n", - " ---------------------------------- -- 252.5/272.9 MB 32.7 MB/s eta 0:00:01\n", - " ---------------------------------- -- 253.7/272.9 MB 32.8 MB/s eta 0:00:01\n", - " ---------------------------------- -- 254.8/272.9 MB 29.7 MB/s eta 0:00:01\n", - " ---------------------------------- -- 256.9/272.9 MB 29.8 MB/s eta 0:00:01\n", - " ---------------------------------- -- 257.9/272.9 MB 28.5 MB/s eta 0:00:01\n", - " ----------------------------------- - 259.0/272.9 MB 29.7 MB/s eta 0:00:01\n", - " ----------------------------------- - 260.7/272.9 MB 27.3 MB/s eta 0:00:01\n", - " ----------------------------------- - 262.1/272.9 MB 31.2 MB/s eta 0:00:01\n", - " ----------------------------------- - 264.2/272.9 MB 34.4 MB/s eta 0:00:01\n", - " ----------------------------------- - 265.3/272.9 MB 36.4 MB/s eta 0:00:01\n", - " ----------------------------------- - 265.3/272.9 MB 36.4 MB/s eta 0:00:01\n", - " ------------------------------------ 266.5/272.9 MB 26.2 MB/s eta 0:00:01\n", - " ------------------------------------ 268.4/272.9 MB 29.7 MB/s eta 0:00:01\n", - " ------------------------------------ 270.2/272.9 MB 29.7 MB/s eta 0:00:01\n", - " ------------------------------------ 271.4/272.9 MB 28.5 MB/s eta 0:00:01\n", - " ------------------------------------ 271.6/272.9 MB 29.7 MB/s eta 0:00:01\n", - " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", - " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", - " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", - " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", - " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", - " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", - " ------------------------------------ 272.9/272.9 MB 26.2 MB/s eta 0:00:01\n", - " ------------------------------------- 272.9/272.9 MB 12.1 MB/s eta 0:00:00\n", + "Requirement already satisfied: tensorflow-intel==2.12.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow==2.12.0) (2.12.0)\n", "Requirement already satisfied: absl-py>=1.0.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.0.0)\n", - "Collecting astunparse>=1.6.0 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading astunparse-1.6.3-py2.py3-none-any.whl (12 kB)\n", + "Requirement already satisfied: astunparse>=1.6.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.6.3)\n", "Requirement already satisfied: flatbuffers>=2.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (23.5.26)\n", - "Collecting gast<=0.4.0,>=0.2.1 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading gast-0.4.0-py3-none-any.whl (9.8 kB)\n", - "Collecting google-pasta>=0.1.1 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading google_pasta-0.2.0-py3-none-any.whl (57 kB)\n", - " ---------------------------------------- 0.0/57.5 kB ? eta -:--:--\n", - " ---------------------------------------- 57.5/57.5 kB ? eta 0:00:00\n", + "Requirement already satisfied: gast<=0.4.0,>=0.2.1 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.4.0)\n", + "Requirement already satisfied: google-pasta>=0.1.1 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.2.0)\n", "Requirement already satisfied: h5py>=2.9.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (3.9.0)\n", - "Collecting jax>=0.3.15 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Obtaining dependency information for jax>=0.3.15 from https://files.pythonhosted.org/packages/cb/a5/017b93c68422e0d4952575a672a7a491d39b35e78380d5989349c48fea53/jax-0.4.20-py3-none-any.whl.metadata\n", - " Downloading jax-0.4.20-py3-none-any.whl.metadata (23 kB)\n", - "Collecting libclang>=13.0.0 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Obtaining dependency information for libclang>=13.0.0 from https://files.pythonhosted.org/packages/02/8c/dc970bc00867fe290e8c8a7befa1635af716a9ebdfe3fb9dce0ca4b522ce/libclang-16.0.6-py2.py3-none-win_amd64.whl.metadata\n", - " Downloading libclang-16.0.6-py2.py3-none-win_amd64.whl.metadata (5.3 kB)\n", - "Collecting numpy<1.24,>=1.22 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading numpy-1.23.5-cp311-cp311-win_amd64.whl (14.6 MB)\n", - " ---------------------------------------- 0.0/14.6 MB ? eta -:--:--\n", - " ------ --------------------------------- 2.2/14.6 MB 71.0 MB/s eta 0:00:01\n", - " ----------- ---------------------------- 4.3/14.6 MB 54.6 MB/s eta 0:00:01\n", - " ----------------- ---------------------- 6.5/14.6 MB 51.8 MB/s eta 0:00:01\n", - " ---------------------- ----------------- 8.4/14.6 MB 48.6 MB/s eta 0:00:01\n", - " --------------------------- ----------- 10.2/14.6 MB 46.6 MB/s eta 0:00:01\n", - " ---------------------------------- ---- 12.9/14.6 MB 46.7 MB/s eta 0:00:01\n", - " -------------------------------------- 14.6/14.6 MB 46.7 MB/s eta 0:00:01\n", - " --------------------------------------- 14.6/14.6 MB 40.9 MB/s eta 0:00:00\n", - "Collecting opt-einsum>=2.3.2 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading opt_einsum-3.3.0-py3-none-any.whl (65 kB)\n", - " ---------------------------------------- 0.0/65.5 kB ? eta -:--:--\n", - " ---------------------------------------- 65.5/65.5 kB 3.5 MB/s eta 0:00:00\n", + "Requirement already satisfied: jax>=0.3.15 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.4.20)\n", + "Requirement already satisfied: libclang>=13.0.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (16.0.6)\n", + "Requirement already satisfied: numpy<1.24,>=1.22 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.23.5)\n", + "Requirement already satisfied: opt-einsum>=2.3.2 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (3.3.0)\n", "Requirement already satisfied: packaging in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (23.1)\n", "Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (3.20.3)\n", "Requirement already satisfied: setuptools in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (68.0.0)\n", "Requirement already satisfied: six>=1.12.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.16.0)\n", - "Collecting termcolor>=1.1.0 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading termcolor-2.3.0-py3-none-any.whl (6.9 kB)\n", + "Requirement already satisfied: termcolor>=1.1.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.3.0)\n", "Requirement already satisfied: typing-extensions>=3.6.6 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (4.7.1)\n", "Requirement already satisfied: wrapt<1.15,>=1.11.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.14.1)\n", - "Collecting grpcio<2.0,>=1.24.3 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Obtaining dependency information for grpcio<2.0,>=1.24.3 from https://files.pythonhosted.org/packages/13/ee/b698a4d0eeae2d58d9906f20959b58a00622180ff8bf4ba71f71aad3c7f8/grpcio-1.59.2-cp311-cp311-win_amd64.whl.metadata\n", - " Downloading grpcio-1.59.2-cp311-cp311-win_amd64.whl.metadata (4.2 kB)\n", - "Collecting tensorboard<2.13,>=2.12 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading tensorboard-2.12.3-py3-none-any.whl (5.6 MB)\n", - " ---------------------------------------- 0.0/5.6 MB ? eta -:--:--\n", - " ---------------- ----------------------- 2.3/5.6 MB 70.4 MB/s eta 0:00:01\n", - " ----------------------------------- ---- 4.9/5.6 MB 62.3 MB/s eta 0:00:01\n", - " ---------------------------------------- 5.6/5.6 MB 51.2 MB/s eta 0:00:00\n", - "Collecting tensorflow-estimator<2.13,>=2.12.0 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading tensorflow_estimator-2.12.0-py2.py3-none-any.whl (440 kB)\n", - " ---------------------------------------- 0.0/440.7 kB ? eta -:--:--\n", - " ------------------------------------- 440.7/440.7 kB 26.9 MB/s eta 0:00:00\n", - "Collecting keras<2.13,>=2.12.0 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading keras-2.12.0-py2.py3-none-any.whl (1.7 MB)\n", - " ---------------------------------------- 0.0/1.7 MB ? eta -:--:--\n", - " ---------------------------------------- 1.7/1.7 MB 55.7 MB/s eta 0:00:00\n", - "Collecting tensorflow-io-gcs-filesystem>=0.23.1 (from tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading tensorflow_io_gcs_filesystem-0.31.0-cp311-cp311-win_amd64.whl (1.5 MB)\n", - " ---------------------------------------- 0.0/1.5 MB ? eta -:--:--\n", - " ---------------------------------------- 1.5/1.5 MB 47.6 MB/s eta 0:00:00\n", + "Requirement already satisfied: grpcio<2.0,>=1.24.3 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.59.2)\n", + "Requirement already satisfied: tensorboard<2.13,>=2.12 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.12.3)\n", + "Requirement already satisfied: tensorflow-estimator<2.13,>=2.12.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.12.0)\n", + "Requirement already satisfied: keras<2.13,>=2.12.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.12.0)\n", + "Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.31.0)\n", "Requirement already satisfied: attrs>=19.1.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from mediapipe) (22.1.0)\n", "Requirement already satisfied: opencv-contrib-python in c:\\programdata\\anaconda3\\lib\\site-packages (from mediapipe) (4.8.1.78)\n", "Requirement already satisfied: sounddevice>=0.4.4 in c:\\programdata\\anaconda3\\lib\\site-packages (from mediapipe) (0.4.6)\n", @@ -315,96 +58,25 @@ "Requirement already satisfied: CFFI>=1.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from sounddevice>=0.4.4->mediapipe) (1.15.1)\n", "Requirement already satisfied: wheel<1.0,>=0.23.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from astunparse>=1.6.0->tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.38.4)\n", "Requirement already satisfied: pycparser in c:\\programdata\\anaconda3\\lib\\site-packages (from CFFI>=1.0->sounddevice>=0.4.4->mediapipe) (2.21)\n", - "Collecting ml-dtypes>=0.2.0 (from jax>=0.3.15->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Obtaining dependency information for ml-dtypes>=0.2.0 from https://files.pythonhosted.org/packages/4f/95/48c66f80acb9f91c3c2fd0cc6939457b8b0c1bd0d2b96edb461a5209df80/ml_dtypes-0.3.1-cp311-cp311-win_amd64.whl.metadata\n", - " Downloading ml_dtypes-0.3.1-cp311-cp311-win_amd64.whl.metadata (20 kB)\n", + "Requirement already satisfied: ml-dtypes>=0.2.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from jax>=0.3.15->tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.3.1)\n", "Requirement already satisfied: scipy>=1.9 in c:\\programdata\\anaconda3\\lib\\site-packages (from jax>=0.3.15->tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.11.1)\n", - "Collecting google-auth<3,>=1.6.3 (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Obtaining dependency information for google-auth<3,>=1.6.3 from https://files.pythonhosted.org/packages/86/a7/75911c13a242735d5aeaca6a272da380335ff4ba5f26d6b2ae20ff682d13/google_auth-2.23.4-py2.py3-none-any.whl.metadata\n", - " Downloading google_auth-2.23.4-py2.py3-none-any.whl.metadata (4.7 kB)\n", - "Collecting google-auth-oauthlib<1.1,>=0.5 (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading google_auth_oauthlib-1.0.0-py2.py3-none-any.whl (18 kB)\n", + "Requirement already satisfied: google-auth<3,>=1.6.3 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.23.4)\n", + "Requirement already satisfied: google-auth-oauthlib<1.1,>=0.5 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.0.0)\n", "Requirement already satisfied: markdown>=2.6.8 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (3.4.1)\n", "Requirement already satisfied: requests<3,>=2.21.0 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.31.0)\n", - "Collecting tensorboard-data-server<0.8.0,>=0.7.0 (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Obtaining dependency information for tensorboard-data-server<0.8.0,>=0.7.0 from https://files.pythonhosted.org/packages/7a/13/e503968fefabd4c6b2650af21e110aa8466fe21432cd7c43a84577a89438/tensorboard_data_server-0.7.2-py3-none-any.whl.metadata\n", - " Downloading tensorboard_data_server-0.7.2-py3-none-any.whl.metadata (1.1 kB)\n", + "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.7.2)\n", "Requirement already satisfied: werkzeug>=1.0.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.2.3)\n", - "Collecting cachetools<6.0,>=2.0.0 (from google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Obtaining dependency information for cachetools<6.0,>=2.0.0 from https://files.pythonhosted.org/packages/a2/91/2d843adb9fbd911e0da45fbf6f18ca89d07a087c3daa23e955584f90ebf4/cachetools-5.3.2-py3-none-any.whl.metadata\n", - " Downloading cachetools-5.3.2-py3-none-any.whl.metadata (5.2 kB)\n", + "Requirement already satisfied: cachetools<6.0,>=2.0.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (5.3.2)\n", "Requirement already satisfied: pyasn1-modules>=0.2.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.2.8)\n", - "Collecting rsa<5,>=3.1.4 (from google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading rsa-4.9-py3-none-any.whl (34 kB)\n", - "Collecting requests-oauthlib>=0.7.0 (from google-auth-oauthlib<1.1,>=0.5->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading requests_oauthlib-1.3.1-py2.py3-none-any.whl (23 kB)\n", + "Requirement already satisfied: rsa<5,>=3.1.4 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (4.9)\n", + "Requirement already satisfied: requests-oauthlib>=0.7.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from google-auth-oauthlib<1.1,>=0.5->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.3.1)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.0.4)\n", "Requirement already satisfied: idna<4,>=2.5 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (3.4)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (1.26.16)\n", "Requirement already satisfied: certifi>=2017.4.17 in c:\\programdata\\anaconda3\\lib\\site-packages (from requests<3,>=2.21.0->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2023.7.22)\n", "Requirement already satisfied: MarkupSafe>=2.1.1 in c:\\programdata\\anaconda3\\lib\\site-packages (from werkzeug>=1.0.1->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (2.1.1)\n", "Requirement already satisfied: pyasn1<0.5.0,>=0.4.6 in c:\\programdata\\anaconda3\\lib\\site-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (0.4.8)\n", - "Collecting oauthlib>=3.0.0 (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0)\n", - " Downloading oauthlib-3.2.2-py3-none-any.whl (151 kB)\n", - " ---------------------------------------- 0.0/151.7 kB ? eta -:--:--\n", - " ---------------------------------------- 151.7/151.7 kB ? eta 0:00:00\n", - "Downloading grpcio-1.59.2-cp311-cp311-win_amd64.whl (3.7 MB)\n", - " ---------------------------------------- 0.0/3.7 MB ? eta -:--:--\n", - " ----------------- ---------------------- 1.6/3.7 MB 51.2 MB/s eta 0:00:01\n", - " ---------------------------------------- 3.7/3.7 MB 46.9 MB/s eta 0:00:00\n", - "Downloading jax-0.4.20-py3-none-any.whl (1.7 MB)\n", - " ---------------------------------------- 0.0/1.7 MB ? eta -:--:--\n", - " ---------------------------------------- 1.7/1.7 MB 53.7 MB/s eta 0:00:00\n", - "Downloading libclang-16.0.6-py2.py3-none-win_amd64.whl (24.4 MB)\n", - " ---------------------------------------- 0.0/24.4 MB ? eta -:--:--\n", - " --- ------------------------------------ 2.3/24.4 MB 49.2 MB/s eta 0:00:01\n", - " ------- -------------------------------- 4.7/24.4 MB 49.6 MB/s eta 0:00:01\n", - " ----------- ---------------------------- 7.0/24.4 MB 49.3 MB/s eta 0:00:01\n", - " --------------- ------------------------ 9.4/24.4 MB 49.8 MB/s eta 0:00:01\n", - " ------------------- -------------------- 12.0/24.4 MB 50.4 MB/s eta 0:00:01\n", - " ------------------------ --------------- 14.7/24.4 MB 50.1 MB/s eta 0:00:01\n", - " ---------------------------- ----------- 17.4/24.4 MB 54.7 MB/s eta 0:00:01\n", - " ------------------------------- -------- 19.3/24.4 MB 50.4 MB/s eta 0:00:01\n", - " ---------------------------------- ----- 21.3/24.4 MB 54.4 MB/s eta 0:00:01\n", - " --------------------------------------- 24.1/24.4 MB 50.4 MB/s eta 0:00:01\n", - " --------------------------------------- 24.4/24.4 MB 50.4 MB/s eta 0:00:01\n", - " ---------------------------------------- 24.4/24.4 MB 40.9 MB/s eta 0:00:00\n", - "Downloading google_auth-2.23.4-py2.py3-none-any.whl (183 kB)\n", - " ---------------------------------------- 0.0/183.3 kB ? eta -:--:--\n", - " ---------------------------------------- 183.3/183.3 kB ? eta 0:00:00\n", - "Downloading ml_dtypes-0.3.1-cp311-cp311-win_amd64.whl (127 kB)\n", - " ---------------------------------------- 0.0/127.1 kB ? eta -:--:--\n", - " ---------------------------------------- 127.1/127.1 kB 7.3 MB/s eta 0:00:00\n", - "Downloading tensorboard_data_server-0.7.2-py3-none-any.whl (2.4 kB)\n", - "Downloading cachetools-5.3.2-py3-none-any.whl (9.3 kB)\n", - "Building wheels for collected packages: sklearn\n", - " Building wheel for sklearn (setup.py): started\n", - " Building wheel for sklearn (setup.py): finished with status 'done'\n", - " Created wheel for sklearn: filename=sklearn-0.0.post11-py3-none-any.whl size=2978 sha256=4c27cd7487063614b87c0779e4d9e6f887c3c8ea88cd18b1579c6c0808180498\n", - " Stored in directory: c:\\users\\ashok\\appdata\\local\\pip\\cache\\wheels\\52\\cc\\47\\500a56407c060a5d18bda9aa3ec2daf4721b8448ee4b268840\n", - "Successfully built sklearn\n", - "Installing collected packages: sklearn, libclang, termcolor, tensorflow-io-gcs-filesystem, tensorflow-estimator, tensorboard-data-server, rsa, oauthlib, numpy, keras, grpcio, google-pasta, gast, cachetools, astunparse, requests-oauthlib, opt-einsum, ml-dtypes, google-auth, jax, google-auth-oauthlib, tensorboard, tensorflow-intel, tensorflow\n", - "Successfully installed astunparse-1.6.3 cachetools-5.3.2 gast-0.4.0 google-auth-2.23.4 google-auth-oauthlib-1.0.0 google-pasta-0.2.0 grpcio-1.59.2 jax-0.4.20 keras-2.12.0 libclang-16.0.6 ml-dtypes-0.3.1 numpy-1.23.5 oauthlib-3.2.2 opt-einsum-3.3.0 requests-oauthlib-1.3.1 rsa-4.9 sklearn-0.0.post11 tensorboard-2.12.3 tensorboard-data-server-0.7.2 tensorflow-2.12.0 tensorflow-estimator-2.12.0 tensorflow-intel-2.12.0 tensorflow-io-gcs-filesystem-0.31.0 termcolor-2.3.0\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - " WARNING: The scripts pyrsa-decrypt.exe, pyrsa-encrypt.exe, pyrsa-keygen.exe, pyrsa-priv2pub.exe, pyrsa-sign.exe and pyrsa-verify.exe are installed in 'C:\\Users\\ashok\\AppData\\Roaming\\Python\\Python311\\Scripts' which is not on PATH.\n", - " Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n", - " WARNING: The script f2py.exe is installed in 'C:\\Users\\ashok\\AppData\\Roaming\\Python\\Python311\\Scripts' which is not on PATH.\n", - " Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n", - " WARNING: The script google-oauthlib-tool.exe is installed in 'C:\\Users\\ashok\\AppData\\Roaming\\Python\\Python311\\Scripts' which is not on PATH.\n", - " Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n", - " WARNING: The script tensorboard.exe is installed in 'C:\\Users\\ashok\\AppData\\Roaming\\Python\\Python311\\Scripts' which is not on PATH.\n", - " Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n", - " WARNING: The scripts estimator_ckpt_converter.exe, import_pb_to_tensorboard.exe, saved_model_cli.exe, tensorboard.exe, tf_upgrade_v2.exe, tflite_convert.exe, toco.exe and toco_from_protos.exe are installed in 'C:\\Users\\ashok\\AppData\\Roaming\\Python\\Python311\\Scripts' which is not on PATH.\n", - " Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.\n", - "ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n", - "gensim 4.3.0 requires FuzzyTM>=0.4.0, which is not installed.\n", - "tables 3.8.0 requires blosc2~=2.0.0, which is not installed.\n", - "tables 3.8.0 requires cython>=0.29.21, which is not installed.\n" + "Requirement already satisfied: oauthlib>=3.0.0 in c:\\users\\ashok\\appdata\\roaming\\python\\python311\\site-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.13,>=2.12->tensorflow-intel==2.12.0->tensorflow==2.12.0) (3.2.2)\n" ] } ], @@ -414,7 +86,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -435,7 +107,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -445,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -460,12 +132,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "def draw_landmarks(image, results):\n", - " mp_drawing.draw_landmarks(image, results.face_landmarks, mp_holistic.FACE_CONNECTIONS) # Draw face connections\n", + " mp_drawing.draw_landmarks(image, results.face_landmarks, mp_holistic.FACEMESH_CONTOURS) # Draw face connections\n", " mp_drawing.draw_landmarks(image, results.pose_landmarks, mp_holistic.POSE_CONNECTIONS) # Draw pose connections\n", " mp_drawing.draw_landmarks(image, results.left_hand_landmarks, mp_holistic.HAND_CONNECTIONS) # Draw left hand connections\n", " mp_drawing.draw_landmarks(image, results.right_hand_landmarks, mp_holistic.HAND_CONNECTIONS) # Draw right hand connections" @@ -473,7 +145,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -500,858 +172,4560 @@ " ) " ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3. Extract Keypoint Values" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def extract_keypoints(results):\n", + " pose = np.array([[res.x, res.y, res.z, res.visibility] for res in results.pose_landmarks.landmark]).flatten() if results.pose_landmarks else np.zeros(33*4)\n", + " face = np.array([[res.x, res.y, res.z] for res in results.face_landmarks.landmark]).flatten() if results.face_landmarks else np.zeros(468*3)\n", + " lh = np.array([[res.x, res.y, res.z] for res in results.left_hand_landmarks.landmark]).flatten() if results.left_hand_landmarks else np.zeros(21*3)\n", + " rh = np.array([[res.x, res.y, res.z] for res in results.right_hand_landmarks.landmark]).flatten() if results.right_hand_landmarks else np.zeros(21*3)\n", + " return np.concatenate([pose, face, lh, rh])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 4. Setup Folders for Collection" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# Path for exported data, numpy arrays\n", + "DATA_PATH = os.path.join('MP_Data') \n", + "\n", + "# Actions that we try to detect\n", + "actions = np.array(['pose1', 'pose2', 'pose3'])\n", + "\n", + "# Thirty videos worth of data\n", + "no_sequences = 30\n", + "\n", + "# Videos are going to be 30 frames in length\n", + "sequence_length = 30\n", + "\n", + "# Folder start\n", + "start_folder = 0" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "for action in actions: \n", + " #dirmax = np.max(np.array(os.listdir(os.path.join(DATA_PATH, action))).astype(int))\n", + " #for sequence in range(1,no_sequences+1):\n", + " for sequence in range(no_sequences):\n", + " try: \n", + " #os.makedirs(os.path.join(DATA_PATH, action, str(dirmax+sequence)))\n", + " os.makedirs(os.path.join(DATA_PATH, action, str(sequence)))\n", + " except:\n", + " pass" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 5. Collect Keypoint Values for Training and Testing" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "cap = cv2.VideoCapture(0)\n", + "# Set mediapipe model \n", + "with mp_holistic.Holistic(min_detection_confidence=0.5, min_tracking_confidence=0.5) as holistic:\n", + " \n", + " # NEW LOOP\n", + " # Loop through actions\n", + " for action in actions:\n", + " # Loop through sequences aka videos\n", + " for sequence in range(start_folder, start_folder+no_sequences):\n", + " # Loop through video length aka sequence length\n", + " for frame_num in range(sequence_length):\n", + "\n", + " # Read feed\n", + " ret, frame = cap.read()\n", + "\n", + " # Make detections\n", + " image, results = mediapipe_detection(frame, holistic)\n", + "\n", + " # Draw landmarks\n", + " draw_styled_landmarks(image, results)\n", + " \n", + " # NEW Apply wait logic\n", + " if frame_num == 0: \n", + " cv2.putText(image, 'STARTING COLLECTION', (120,200), \n", + " cv2.FONT_HERSHEY_SIMPLEX, 1, (0,255, 0), 4, cv2.LINE_AA)\n", + " cv2.putText(image, 'Collecting frames for {} Video Number {}'.format(action, sequence), (15,12), \n", + " cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 1, cv2.LINE_AA)\n", + " # Show to screen\n", + " cv2.imshow('OpenCV Feed', image)\n", + " cv2.waitKey(500)\n", + " else: \n", + " cv2.putText(image, 'Collecting frames for {} Video Number {}'.format(action, sequence), (15,12), \n", + " cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 1, cv2.LINE_AA)\n", + " # Show to screen\n", + " cv2.imshow('OpenCV Feed', image)\n", + " \n", + " # NEW Export keypoints\n", + " keypoints = extract_keypoints(results)\n", + " npy_path = os.path.join(DATA_PATH, action, str(sequence), str(frame_num))\n", + " np.save(npy_path, keypoints)\n", + "\n", + " # Break gracefully\n", + " if cv2.waitKey(10) & 0xFF == ord('q'):\n", + " break\n", + " \n", + " cap.release()\n", + " cv2.destroyAllWindows()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "cap.release()\n", + "cv2.destroyAllWindows()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 6. Preprocess Data and Create Labels and Features" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.model_selection import train_test_split\n", + "from tensorflow.keras.utils import to_categorical" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "label_map = {label:num for num, label in enumerate(actions)}" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'pose1': 0, 'pose2': 1, 'pose3': 2}" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "label_map" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "sequences, labels = [], []\n", + "for action in actions:\n", + " for sequence in np.array(os.listdir(os.path.join(DATA_PATH, action))).astype(int):\n", + " window = []\n", + " for frame_num in range(sequence_length):\n", + " res = np.load(os.path.join(DATA_PATH, action, str(sequence), \"{}.npy\".format(frame_num)))\n", + " window.append(res)\n", + " sequences.append(window)\n", + " labels.append(label_map[action])" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(90, 30, 1662)" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.array(sequences).shape" + ] + }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n" - ] - } - ], - "source": [ - "cap = cv2.VideoCapture(0)\n", - "# Set mediapipe model \n", - "with mp_holistic.Holistic(min_detection_confidence=0.5, min_tracking_confidence=0.5) as holistic:\n", - " while cap.isOpened():\n", - "\n", - " # Read feed\n", - " ret, frame = cap.read()\n", - "\n", - " # Make detections\n", - " image, results = mediapipe_detection(frame, holistic)\n", - " print(results)\n", - " \n", - " # Draw landmarks\n", - " draw_styled_landmarks(image, results)\n", - "\n", - " # Show to screen\n", - " cv2.imshow('OpenCV Feed', image)\n", - "\n", - " # Break gracefully\n", - " if cv2.waitKey(10) & 0xFF == ord('q'):\n", - " break\n", - " cap.release()\n", - " cv2.destroyAllWindows()" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "ename": "AttributeError", - "evalue": "module 'mediapipe.python.solutions.holistic' has no attribute 'FACE_CONNECTIONS'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[20], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m draw_landmarks(frame, results)\n", - "Cell \u001b[1;32mIn[8], line 2\u001b[0m, in \u001b[0;36mdraw_landmarks\u001b[1;34m(image, results)\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdraw_landmarks\u001b[39m(image, results):\n\u001b[1;32m----> 2\u001b[0m mp_drawing\u001b[38;5;241m.\u001b[39mdraw_landmarks(image, results\u001b[38;5;241m.\u001b[39mface_landmarks, mp_holistic\u001b[38;5;241m.\u001b[39mFACE_CONNECTIONS) \u001b[38;5;66;03m# Draw face connections\u001b[39;00m\n\u001b[0;32m 3\u001b[0m mp_drawing\u001b[38;5;241m.\u001b[39mdraw_landmarks(image, results\u001b[38;5;241m.\u001b[39mpose_landmarks, mp_holistic\u001b[38;5;241m.\u001b[39mPOSE_CONNECTIONS) \u001b[38;5;66;03m# Draw pose connections\u001b[39;00m\n\u001b[0;32m 4\u001b[0m mp_drawing\u001b[38;5;241m.\u001b[39mdraw_landmarks(image, results\u001b[38;5;241m.\u001b[39mleft_hand_landmarks, mp_holistic\u001b[38;5;241m.\u001b[39mHAND_CONNECTIONS) \u001b[38;5;66;03m# Draw left hand connections\u001b[39;00m\n", - "\u001b[1;31mAttributeError\u001b[0m: module 'mediapipe.python.solutions.holistic' has no attribute 'FACE_CONNECTIONS'" - ] - } - ], - "source": [ - "draw_landmarks(frame, results)" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": "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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plt.imshow(cv2.cvtColor(frame, cv2.COLOR_BGR2RGB))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 3. Extract Keypoint Values" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "21" - ] - }, - "execution_count": 22, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(results.left_hand_landmarks.landmark)" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": {}, - "outputs": [], - "source": [ - "pose = []\n", - "for res in results.pose_landmarks.landmark:\n", - " test = np.array([res.x, res.y, res.z, res.visibility])\n", - " pose.append(test)" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [], - "source": [ - "pose = np.array([[res.x, res.y, res.z, res.visibility] for res in results.pose_landmarks.landmark]).flatten() if results.pose_landmarks else np.zeros(132)\n", - "face = np.array([[res.x, res.y, res.z] for res in results.face_landmarks.landmark]).flatten() if results.face_landmarks else np.zeros(1404)\n", - "lh = np.array([[res.x, res.y, res.z] for res in results.left_hand_landmarks.landmark]).flatten() if results.left_hand_landmarks else np.zeros(21*3)\n", - "rh = np.array([[res.x, res.y, res.z] for res in results.right_hand_landmarks.landmark]).flatten() if results.right_hand_landmarks else np.zeros(21*3)" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "face = np.array([[res.x, res.y, res.z] for res in results.face_landmarks.landmark]).flatten() if results.face_landmarks else np.zeros(1404)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [], - "source": [ - "def extract_keypoints(results):\n", - " pose = np.array([[res.x, res.y, res.z, res.visibility] for res in results.pose_landmarks.landmark]).flatten() if results.pose_landmarks else np.zeros(33*4)\n", - " face = np.array([[res.x, res.y, res.z] for res in results.face_landmarks.landmark]).flatten() if results.face_landmarks else np.zeros(468*3)\n", - " lh = np.array([[res.x, res.y, res.z] for res in results.left_hand_landmarks.landmark]).flatten() if results.left_hand_landmarks else np.zeros(21*3)\n", - " rh = np.array([[res.x, res.y, res.z] for res in results.right_hand_landmarks.landmark]).flatten() if results.right_hand_landmarks else np.zeros(21*3)\n", - " return np.concatenate([pose, face, lh, rh])" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [], - "source": [ - "result_test = extract_keypoints(results)" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 0.52532709, 0.41906884, -0.51375777, ..., 0. ,\n", - " 0. , 0. ])" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result_test" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [], - "source": [ - "np.save('0', result_test)" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 0.52532709, 0.41906884, -0.51375777, ..., 0. ,\n", - " 0. , 0. ])" - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.load('0.npy')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 4. Setup Folders for Collection" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [], - "source": [ - "# Path for exported data, numpy arrays\n", - "DATA_PATH = os.path.join('MP_Data') \n", - "\n", - "# Actions that we try to detect\n", - "actions = np.array(['pose1', 'pose2', 'pose3'])\n", - "\n", - "# Thirty videos worth of data\n", - "no_sequences = 30\n", - "\n", - "# Videos are going to be 30 frames in length\n", - "sequence_length = 30\n", - "\n", - "# Folder start\n", - "start_folder = 30" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "ename": "ValueError", - "evalue": "zero-size array to reduction operation maximum which has no identity", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[36], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m action \u001b[38;5;129;01min\u001b[39;00m actions: \n\u001b[1;32m----> 2\u001b[0m dirmax \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mmax(np\u001b[38;5;241m.\u001b[39marray(os\u001b[38;5;241m.\u001b[39mlistdir(os\u001b[38;5;241m.\u001b[39mpath\u001b[38;5;241m.\u001b[39mjoin(DATA_PATH, action)))\u001b[38;5;241m.\u001b[39mastype(\u001b[38;5;28mint\u001b[39m))\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m sequence \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m1\u001b[39m,no_sequences\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m1\u001b[39m):\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m: \n", - "File \u001b[1;32m<__array_function__ internals>:200\u001b[0m, in \u001b[0;36mamax\u001b[1;34m(*args, **kwargs)\u001b[0m\n", - "File \u001b[1;32mC:\\ProgramData\\anaconda3\\Lib\\site-packages\\numpy\\core\\fromnumeric.py:2820\u001b[0m, in \u001b[0;36mamax\u001b[1;34m(a, axis, out, keepdims, initial, where)\u001b[0m\n\u001b[0;32m 2703\u001b[0m \u001b[38;5;129m@array_function_dispatch\u001b[39m(_amax_dispatcher)\n\u001b[0;32m 2704\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mamax\u001b[39m(a, axis\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, out\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, keepdims\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39m_NoValue, initial\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39m_NoValue,\n\u001b[0;32m 2705\u001b[0m where\u001b[38;5;241m=\u001b[39mnp\u001b[38;5;241m.\u001b[39m_NoValue):\n\u001b[0;32m 2706\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 2707\u001b[0m \u001b[38;5;124;03m Return the maximum of an array or maximum along an axis.\u001b[39;00m\n\u001b[0;32m 2708\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 2818\u001b[0m \u001b[38;5;124;03m 5\u001b[39;00m\n\u001b[0;32m 2819\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m-> 2820\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _wrapreduction(a, np\u001b[38;5;241m.\u001b[39mmaximum, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmax\u001b[39m\u001b[38;5;124m'\u001b[39m, axis, \u001b[38;5;28;01mNone\u001b[39;00m, out,\n\u001b[0;32m 2821\u001b[0m keepdims\u001b[38;5;241m=\u001b[39mkeepdims, initial\u001b[38;5;241m=\u001b[39minitial, where\u001b[38;5;241m=\u001b[39mwhere)\n", - "File \u001b[1;32mC:\\ProgramData\\anaconda3\\Lib\\site-packages\\numpy\\core\\fromnumeric.py:86\u001b[0m, in \u001b[0;36m_wrapreduction\u001b[1;34m(obj, ufunc, method, axis, dtype, out, **kwargs)\u001b[0m\n\u001b[0;32m 83\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 84\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m reduction(axis\u001b[38;5;241m=\u001b[39maxis, out\u001b[38;5;241m=\u001b[39mout, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mpasskwargs)\n\u001b[1;32m---> 86\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ufunc\u001b[38;5;241m.\u001b[39mreduce(obj, axis, dtype, out, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mpasskwargs)\n", - "\u001b[1;31mValueError\u001b[0m: zero-size array to reduction operation maximum which has no identity" - ] - } - ], - "source": [ - "for action in actions: \n", - " dirmax = np.max(np.array(os.listdir(os.path.join(DATA_PATH, action))).astype(int))\n", - " for sequence in range(1,no_sequences+1):\n", - " try: \n", - " os.makedirs(os.path.join(DATA_PATH, action, str(dirmax+sequence)))\n", - " except:\n", - " pass" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 5. Collect Keypoint Values for Training and Testing" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [], - "source": [ - "cap = cv2.VideoCapture(0)\n", - "# Set mediapipe model \n", - "with mp_holistic.Holistic(min_detection_confidence=0.5, min_tracking_confidence=0.5) as holistic:\n", - " \n", - " # NEW LOOP\n", - " # Loop through actions\n", - " for action in actions:\n", - " # Loop through sequences aka videos\n", - " for sequence in range(start_folder, start_folder+no_sequences):\n", - " # Loop through video length aka sequence length\n", - " for frame_num in range(sequence_length):\n", - "\n", - " # Read feed\n", - " ret, frame = cap.read()\n", - "\n", - " # Make detections\n", - " image, results = mediapipe_detection(frame, holistic)\n", - "\n", - " # Draw landmarks\n", - " draw_styled_landmarks(image, results)\n", - " \n", - " # NEW Apply wait logic\n", - " if frame_num == 0: \n", - " cv2.putText(image, 'STARTING COLLECTION', (120,200), \n", - " cv2.FONT_HERSHEY_SIMPLEX, 1, (0,255, 0), 4, cv2.LINE_AA)\n", - " cv2.putText(image, 'Collecting frames for {} Video Number {}'.format(action, sequence), (15,12), \n", - " cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 1, cv2.LINE_AA)\n", - " # Show to screen\n", - " cv2.imshow('OpenCV Feed', image)\n", - " cv2.waitKey(500)\n", - " else: \n", - " cv2.putText(image, 'Collecting frames for {} Video Number {}'.format(action, sequence), (15,12), \n", - " cv2.FONT_HERSHEY_SIMPLEX, 0.5, (0, 0, 255), 1, cv2.LINE_AA)\n", - " # Show to screen\n", - " cv2.imshow('OpenCV Feed', image)\n", - " \n", - " # NEW Export keypoints\n", - " keypoints = extract_keypoints(results)\n", - " npy_path = os.path.join(DATA_PATH, action, str(sequence), str(frame_num))\n", - " np.save(npy_path, keypoints)\n", - "\n", - " # Break gracefully\n", - " if cv2.waitKey(10) & 0xFF == ord('q'):\n", - " break\n", - " \n", - " cap.release()\n", - " cv2.destroyAllWindows()" + "data": { + "text/plain": [ + "(90,)" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "np.array(labels).shape" ] }, { "cell_type": "code", - "execution_count": 158, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ - "cap.release()\n", - "cv2.destroyAllWindows()" + "X = np.array(sequences)" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 20, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(90, 30, 1662)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# 6. Preprocess Data and Create Labels and Features" + "X.shape" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ - "from sklearn.model_selection import train_test_split\n", - "from tensorflow.keras.utils import to_categorical" + "y = to_categorical(labels).astype(int)" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ - "label_map = {label:num for num, label in enumerate(actions)}" + "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.05)" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'hello': 0, 'thanks': 1, 'iloveyou': 2}" + "(5, 3)" ] }, - "execution_count": 10, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "label_map" + "y_test.shape" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 7. Build and Train LSTM Neural Network" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ - "sequences, labels = [], []\n", - "for action in actions:\n", - " for sequence in np.array(os.listdir(os.path.join(DATA_PATH, action))).astype(int):\n", - " window = []\n", - " for frame_num in range(sequence_length):\n", - " res = np.load(os.path.join(DATA_PATH, action, str(sequence), \"{}.npy\".format(frame_num)))\n", - " window.append(res)\n", - " sequences.append(window)\n", - " labels.append(label_map[action])" + "from tensorflow.keras.models import Sequential\n", + "from tensorflow.keras.layers import LSTM, Dense\n", + "from tensorflow.keras.callbacks import TensorBoard" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "log_dir = os.path.join('Logs')\n", + "tb_callback = TensorBoard(log_dir=log_dir)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "model = Sequential()\n", + "model.add(LSTM(64, return_sequences=True, activation='relu', input_shape=(30,1662)))\n", + "model.add(LSTM(128, return_sequences=True, activation='relu'))\n", + "model.add(LSTM(64, return_sequences=False, activation='relu'))\n", + "model.add(Dense(64, activation='relu'))\n", + "model.add(Dense(32, activation='relu'))\n", + "model.add(Dense(actions.shape[0], activation='softmax'))" + ] + }, + { + "cell_type": "code", + "execution_count": 27, "metadata": {}, + "outputs": [], + "source": [ + "model.compile(optimizer='Adam', loss='categorical_crossentropy', metrics=['categorical_accuracy'])" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "scrolled": true + }, "outputs": [ { - "data": { - "text/plain": [ - "(180, 30, 1662)" - ] - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.array(sequences).shape" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [ + "name": "stdout", + "output_type": "stream", + "text": [ + "Epoch 1/2000\n", + "3/3 [==============================] - 4s 51ms/step - loss: 5.5248 - categorical_accuracy: 0.3647\n", + "Epoch 2/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 22.8344 - categorical_accuracy: 0.3529\n", + "Epoch 3/2000\n", + "3/3 [==============================] - 0s 50ms/step - loss: 66.4271 - categorical_accuracy: 0.3882\n", + "Epoch 4/2000\n", + "3/3 [==============================] - 0s 50ms/step - loss: 75.1637 - categorical_accuracy: 0.2824\n", + "Epoch 5/2000\n", + "3/3 [==============================] - 0s 50ms/step - loss: 156.2271 - categorical_accuracy: 0.3412\n", + "Epoch 6/2000\n", + "3/3 [==============================] - 0s 50ms/step - loss: 11.3849 - categorical_accuracy: 0.3882\n", + "Epoch 7/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 19.9161 - categorical_accuracy: 0.3412\n", + "Epoch 8/2000\n", + "3/3 [==============================] - 0s 50ms/step - loss: 3.8393 - categorical_accuracy: 0.3765\n", + "Epoch 9/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 5.8597 - categorical_accuracy: 0.3294\n", + "Epoch 10/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 7.3510 - categorical_accuracy: 0.3176\n", + "Epoch 11/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 7.9936 - categorical_accuracy: 0.4000\n", + "Epoch 12/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 5.8632 - categorical_accuracy: 0.3647\n", + "Epoch 13/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 3.9014 - categorical_accuracy: 0.4000\n", + "Epoch 14/2000\n", + "3/3 [==============================] - 0s 49ms/step - loss: 3.1816 - categorical_accuracy: 0.3059\n", + "Epoch 15/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 3.3424 - categorical_accuracy: 0.3529\n", + "Epoch 16/2000\n", + "3/3 [==============================] - 0s 50ms/step - loss: 2.2202 - categorical_accuracy: 0.3529\n", + "Epoch 17/2000\n", + "3/3 [==============================] - 0s 49ms/step - loss: 1.8599 - categorical_accuracy: 0.4000\n", + "Epoch 18/2000\n", + "3/3 [==============================] - 0s 49ms/step - loss: 1.2179 - categorical_accuracy: 0.4118\n", + "Epoch 19/2000\n", + "3/3 [==============================] - 0s 50ms/step - loss: 1.1319 - categorical_accuracy: 0.3765\n", + "Epoch 20/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 1.1457 - categorical_accuracy: 0.4000\n", + "Epoch 21/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 1.0182 - categorical_accuracy: 0.4471\n", + "Epoch 22/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 0.9320 - categorical_accuracy: 0.5529\n", + "Epoch 23/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 0.8045 - categorical_accuracy: 0.6941\n", + "Epoch 24/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.8912 - categorical_accuracy: 0.5765\n", + "Epoch 25/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 0.7671 - categorical_accuracy: 0.6471\n", + "Epoch 26/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 0.7400 - categorical_accuracy: 0.6941\n", + "Epoch 27/2000\n", + "3/3 [==============================] - 0s 50ms/step - loss: 0.6803 - categorical_accuracy: 0.6353\n", + "Epoch 28/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.6376 - categorical_accuracy: 0.7294\n", + "Epoch 29/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 0.6672 - categorical_accuracy: 0.6824\n", + "Epoch 30/2000\n", + "3/3 [==============================] - 0s 50ms/step - loss: 0.8194 - categorical_accuracy: 0.5647\n", + "Epoch 31/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.8004 - categorical_accuracy: 0.6824\n", + "Epoch 32/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 0.7687 - categorical_accuracy: 0.6706\n", + "Epoch 33/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.6546 - categorical_accuracy: 0.6941\n", + "Epoch 34/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.6145 - categorical_accuracy: 0.7294\n", + "Epoch 35/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5914 - categorical_accuracy: 0.7529\n", + "Epoch 36/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5684 - categorical_accuracy: 0.6941\n", + "Epoch 37/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5888 - categorical_accuracy: 0.7059\n", + "Epoch 38/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5593 - categorical_accuracy: 0.7059\n", + "Epoch 39/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.6020 - categorical_accuracy: 0.7059\n", + "Epoch 40/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5395 - categorical_accuracy: 0.7647\n", + "Epoch 41/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5202 - categorical_accuracy: 0.7882\n", + "Epoch 42/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.5022 - categorical_accuracy: 0.7647\n", + "Epoch 43/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.4654 - categorical_accuracy: 0.8118\n", + "Epoch 44/2000\n", + "3/3 [==============================] - 0s 51ms/step - loss: 0.4691 - categorical_accuracy: 0.7765\n", + "Epoch 45/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.4524 - categorical_accuracy: 0.8353\n", + "Epoch 46/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.4520 - categorical_accuracy: 0.8000\n", + "Epoch 47/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.4796 - categorical_accuracy: 0.7882\n", + "Epoch 48/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4199 - categorical_accuracy: 0.8353\n", + "Epoch 49/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4564 - categorical_accuracy: 0.7765\n", + "Epoch 50/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.4789 - categorical_accuracy: 0.7882\n", + "Epoch 51/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.4824 - categorical_accuracy: 0.7882\n", + "Epoch 52/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.4729 - categorical_accuracy: 0.7412\n", + "Epoch 53/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.5107 - categorical_accuracy: 0.7529\n", + "Epoch 54/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4933 - categorical_accuracy: 0.8118\n", + "Epoch 55/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5300 - categorical_accuracy: 0.7412\n", + "Epoch 56/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5891 - categorical_accuracy: 0.6941\n", + "Epoch 57/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.6896 - categorical_accuracy: 0.7529\n", + "Epoch 58/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.5846 - categorical_accuracy: 0.6824\n", + "Epoch 59/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.5140 - categorical_accuracy: 0.7882\n", + "Epoch 60/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5700 - categorical_accuracy: 0.8000\n", + "Epoch 61/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5532 - categorical_accuracy: 0.7882\n", + "Epoch 62/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.6016 - categorical_accuracy: 0.7294\n", + "Epoch 63/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.5485 - categorical_accuracy: 0.7882\n", + "Epoch 64/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.5145 - categorical_accuracy: 0.7647\n", + "Epoch 65/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.5374 - categorical_accuracy: 0.7529\n", + "Epoch 66/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.5741 - categorical_accuracy: 0.7059\n", + "Epoch 67/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.4756 - categorical_accuracy: 0.7647\n", + "Epoch 68/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.5376 - categorical_accuracy: 0.7882\n", + "Epoch 69/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.5512 - categorical_accuracy: 0.6471\n", + "Epoch 70/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.4764 - categorical_accuracy: 0.7765\n", + "Epoch 71/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4907 - categorical_accuracy: 0.7647\n", + "Epoch 72/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.4564 - categorical_accuracy: 0.7529\n", + "Epoch 73/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5202 - categorical_accuracy: 0.8000\n", + "Epoch 74/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 55ms/step - loss: 0.4829 - categorical_accuracy: 0.7765\n", + "Epoch 75/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.6076 - categorical_accuracy: 0.6471\n", + "Epoch 76/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.8656 - categorical_accuracy: 0.7529\n", + "Epoch 77/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5959 - categorical_accuracy: 0.7412\n", + "Epoch 78/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.5372 - categorical_accuracy: 0.7529\n", + "Epoch 79/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5479 - categorical_accuracy: 0.7647\n", + "Epoch 80/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4909 - categorical_accuracy: 0.7765\n", + "Epoch 81/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5573 - categorical_accuracy: 0.7529\n", + "Epoch 82/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.6243 - categorical_accuracy: 0.6118\n", + "Epoch 83/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.4606 - categorical_accuracy: 0.8353\n", + "Epoch 84/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.5362 - categorical_accuracy: 0.8000\n", + "Epoch 85/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4938 - categorical_accuracy: 0.7765\n", + "Epoch 86/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5146 - categorical_accuracy: 0.7765\n", + "Epoch 87/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5827 - categorical_accuracy: 0.8000\n", + "Epoch 88/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4503 - categorical_accuracy: 0.8235\n", + "Epoch 89/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5121 - categorical_accuracy: 0.7294\n", + "Epoch 90/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5331 - categorical_accuracy: 0.7529\n", + "Epoch 91/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.5524 - categorical_accuracy: 0.6471\n", + "Epoch 92/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4773 - categorical_accuracy: 0.7529\n", + "Epoch 93/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4545 - categorical_accuracy: 0.7765\n", + "Epoch 94/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.4348 - categorical_accuracy: 0.8471\n", + "Epoch 95/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.4757 - categorical_accuracy: 0.7647\n", + "Epoch 96/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4817 - categorical_accuracy: 0.7765\n", + "Epoch 97/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4585 - categorical_accuracy: 0.7882\n", + "Epoch 98/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.4681 - categorical_accuracy: 0.7882\n", + "Epoch 99/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.4521 - categorical_accuracy: 0.8353\n", + "Epoch 100/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4561 - categorical_accuracy: 0.8118\n", + "Epoch 101/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4893 - categorical_accuracy: 0.8000\n", + "Epoch 102/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4105 - categorical_accuracy: 0.8000\n", + "Epoch 103/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4561 - categorical_accuracy: 0.8000\n", + "Epoch 104/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5042 - categorical_accuracy: 0.7765\n", + "Epoch 105/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4622 - categorical_accuracy: 0.8000\n", + "Epoch 106/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.6302 - categorical_accuracy: 0.7765\n", + "Epoch 107/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4420 - categorical_accuracy: 0.8235\n", + "Epoch 108/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4885 - categorical_accuracy: 0.8000\n", + "Epoch 109/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.3965 - categorical_accuracy: 0.8353\n", + "Epoch 110/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.3988 - categorical_accuracy: 0.8471\n", + "Epoch 111/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4730 - categorical_accuracy: 0.7765\n", + "Epoch 112/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5483 - categorical_accuracy: 0.7412\n", + "Epoch 113/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5582 - categorical_accuracy: 0.6235\n", + "Epoch 114/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.5368 - categorical_accuracy: 0.6588\n", + "Epoch 115/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.5124 - categorical_accuracy: 0.7882\n", + "Epoch 116/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5027 - categorical_accuracy: 0.7765\n", + "Epoch 117/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5619 - categorical_accuracy: 0.7176\n", + "Epoch 118/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.5180 - categorical_accuracy: 0.8118\n", + "Epoch 119/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4951 - categorical_accuracy: 0.7765\n", + "Epoch 120/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5671 - categorical_accuracy: 0.7647\n", + "Epoch 121/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5256 - categorical_accuracy: 0.7412\n", + "Epoch 122/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.5363 - categorical_accuracy: 0.6471\n", + "Epoch 123/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4060 - categorical_accuracy: 0.8353\n", + "Epoch 124/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4715 - categorical_accuracy: 0.8000\n", + "Epoch 125/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.3984 - categorical_accuracy: 0.8235\n", + "Epoch 126/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4318 - categorical_accuracy: 0.8118\n", + "Epoch 127/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.3788 - categorical_accuracy: 0.8941\n", + "Epoch 128/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4653 - categorical_accuracy: 0.7765\n", + "Epoch 129/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4267 - categorical_accuracy: 0.8235\n", + "Epoch 130/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.3817 - categorical_accuracy: 0.8588\n", + "Epoch 131/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.3604 - categorical_accuracy: 0.8588\n", + "Epoch 132/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.3918 - categorical_accuracy: 0.8471\n", + "Epoch 133/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4038 - categorical_accuracy: 0.8235\n", + "Epoch 134/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4131 - categorical_accuracy: 0.8118\n", + "Epoch 135/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.3871 - categorical_accuracy: 0.7882\n", + "Epoch 136/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.3919 - categorical_accuracy: 0.8353\n", + "Epoch 137/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.3505 - categorical_accuracy: 0.8706\n", + "Epoch 138/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4160 - categorical_accuracy: 0.8353\n", + "Epoch 139/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4093 - categorical_accuracy: 0.8235\n", + "Epoch 140/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.3861 - categorical_accuracy: 0.8235\n", + "Epoch 141/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.3635 - categorical_accuracy: 0.8353\n", + "Epoch 142/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4527 - categorical_accuracy: 0.8353\n", + "Epoch 143/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5410 - categorical_accuracy: 0.7294\n", + "Epoch 144/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4502 - categorical_accuracy: 0.7765\n", + "Epoch 145/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.3671 - categorical_accuracy: 0.8471\n", + "Epoch 146/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 55ms/step - loss: 0.4027 - categorical_accuracy: 0.8353\n", + "Epoch 147/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.3712 - categorical_accuracy: 0.8471\n", + "Epoch 148/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.3848 - categorical_accuracy: 0.8118\n", + "Epoch 149/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.4607 - categorical_accuracy: 0.7765\n", + "Epoch 150/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.3945 - categorical_accuracy: 0.8000\n", + "Epoch 151/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.4339 - categorical_accuracy: 0.7529\n", + "Epoch 152/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.3729 - categorical_accuracy: 0.8588\n", + "Epoch 153/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.3702 - categorical_accuracy: 0.8471\n", + "Epoch 154/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.3813 - categorical_accuracy: 0.8353\n", + "Epoch 155/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.3640 - categorical_accuracy: 0.8588\n", + "Epoch 156/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.3616 - categorical_accuracy: 0.8353\n", + "Epoch 157/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.3689 - categorical_accuracy: 0.8588\n", + "Epoch 158/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.3315 - categorical_accuracy: 0.8941\n", + "Epoch 159/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.3120 - categorical_accuracy: 0.8824\n", + "Epoch 160/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.3103 - categorical_accuracy: 0.8706\n", + "Epoch 161/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.3499 - categorical_accuracy: 0.8588\n", + "Epoch 162/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.3359 - categorical_accuracy: 0.8941\n", + "Epoch 163/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.3409 - categorical_accuracy: 0.8824\n", + "Epoch 164/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.3681 - categorical_accuracy: 0.8235\n", + "Epoch 165/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4182 - categorical_accuracy: 0.8353\n", + "Epoch 166/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.5544 - categorical_accuracy: 0.6706\n", + "Epoch 167/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.3964 - categorical_accuracy: 0.8235\n", + "Epoch 168/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.4224 - categorical_accuracy: 0.8588\n", + "Epoch 169/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 0.3806 - categorical_accuracy: 0.8471\n", + "Epoch 170/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.3991 - categorical_accuracy: 0.8118\n", + "Epoch 171/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.4413 - categorical_accuracy: 0.8471\n", + "Epoch 172/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 0.4364 - categorical_accuracy: 0.8353\n", + "Epoch 173/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.3039 - categorical_accuracy: 0.8824\n", + "Epoch 174/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 3.4675 - categorical_accuracy: 0.3059\n", + "Epoch 175/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 1.4676 - categorical_accuracy: 0.4824\n", + "Epoch 176/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 14.5954 - categorical_accuracy: 0.3882\n", + "Epoch 177/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 9.4632 - categorical_accuracy: 0.4235\n", + "Epoch 178/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 82.8598 - categorical_accuracy: 0.3412\n", + "Epoch 179/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 17.1260 - categorical_accuracy: 0.3059\n", + "Epoch 180/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 33.5270 - categorical_accuracy: 0.3176\n", + "Epoch 181/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 43.8087 - categorical_accuracy: 0.3412\n", + "Epoch 182/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 37.4590 - categorical_accuracy: 0.2706\n", + "Epoch 183/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 146.0353 - categorical_accuracy: 0.2941\n", + "Epoch 184/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 332.6913 - categorical_accuracy: 0.3765\n", + "Epoch 185/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 591.3230 - categorical_accuracy: 0.2824\n", + "Epoch 186/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 300.2092 - categorical_accuracy: 0.3294\n", + "Epoch 187/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 179.6980 - categorical_accuracy: 0.2706\n", + "Epoch 188/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 120.1321 - categorical_accuracy: 0.3529\n", + "Epoch 189/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 106.9761 - categorical_accuracy: 0.2118\n", + "Epoch 190/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 46.5140 - categorical_accuracy: 0.3765\n", + "Epoch 191/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 14.7244 - categorical_accuracy: 0.2588\n", + "Epoch 192/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 8.5323 - categorical_accuracy: 0.2118\n", + "Epoch 193/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 20.2484 - categorical_accuracy: 0.3412\n", + "Epoch 194/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 25.9824 - categorical_accuracy: 0.2941\n", + "Epoch 195/2000\n", + "3/3 [==============================] - 0s 52ms/step - loss: 13.0488 - categorical_accuracy: 0.3412\n", + "Epoch 196/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 9.5996 - categorical_accuracy: 0.3176\n", + "Epoch 197/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 8.1008 - categorical_accuracy: 0.2118\n", + "Epoch 198/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 4.7258 - categorical_accuracy: 0.4000\n", + "Epoch 199/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 4.0796 - categorical_accuracy: 0.3294\n", + "Epoch 200/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 3.3923 - categorical_accuracy: 0.3882\n", + "Epoch 201/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 2.4378 - categorical_accuracy: 0.4471\n", + "Epoch 202/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 1.7919 - categorical_accuracy: 0.3765\n", + "Epoch 203/2000\n", + "3/3 [==============================] - 0s 53ms/step - loss: 1.3200 - categorical_accuracy: 0.2118\n", + "Epoch 204/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 1.2218 - categorical_accuracy: 0.4235\n", + "Epoch 205/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 1.3680 - categorical_accuracy: 0.6235\n", + "Epoch 206/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 2.2874 - categorical_accuracy: 0.3176\n", + "Epoch 207/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 2.1336 - categorical_accuracy: 0.2588\n", + "Epoch 208/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 1.2563 - categorical_accuracy: 0.3647\n", + "Epoch 209/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 1.4066 - categorical_accuracy: 0.3176\n", + "Epoch 210/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 1.2792 - categorical_accuracy: 0.3647\n", + "Epoch 211/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.9902 - categorical_accuracy: 0.4235\n", + "Epoch 212/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.9699 - categorical_accuracy: 0.4824\n", + "Epoch 213/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.9461 - categorical_accuracy: 0.5412\n", + "Epoch 214/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.8921 - categorical_accuracy: 0.6471\n", + "Epoch 215/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.8716 - categorical_accuracy: 0.6588\n", + "Epoch 216/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.7928 - categorical_accuracy: 0.6471\n", + "Epoch 217/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.7858 - categorical_accuracy: 0.6941\n", + "Epoch 218/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 55ms/step - loss: 0.7481 - categorical_accuracy: 0.7059\n", + "Epoch 219/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.7385 - categorical_accuracy: 0.6353\n", + "Epoch 220/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.7252 - categorical_accuracy: 0.6588\n", + "Epoch 221/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.7077 - categorical_accuracy: 0.7176\n", + "Epoch 222/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.7024 - categorical_accuracy: 0.7059\n", + "Epoch 223/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.6825 - categorical_accuracy: 0.6588\n", + "Epoch 224/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.6810 - categorical_accuracy: 0.6353\n", + "Epoch 225/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.6756 - categorical_accuracy: 0.6471\n", + "Epoch 226/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.6714 - categorical_accuracy: 0.6706\n", + "Epoch 227/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.6666 - categorical_accuracy: 0.6471\n", + "Epoch 228/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.6585 - categorical_accuracy: 0.6235\n", + "Epoch 229/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.6528 - categorical_accuracy: 0.6941\n", + "Epoch 230/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.6464 - categorical_accuracy: 0.6941\n", + "Epoch 231/2000\n", + "3/3 [==============================] - 0s 54ms/step - loss: 0.6409 - categorical_accuracy: 0.6941\n", + "Epoch 232/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.6388 - categorical_accuracy: 0.6471\n", + "Epoch 233/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.6315 - categorical_accuracy: 0.6588\n", + "Epoch 234/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.6298 - categorical_accuracy: 0.6588\n", + "Epoch 235/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.6268 - categorical_accuracy: 0.7059\n", + "Epoch 236/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.6227 - categorical_accuracy: 0.7176\n", + "Epoch 237/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6199 - categorical_accuracy: 0.7176\n", + "Epoch 238/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.6167 - categorical_accuracy: 0.7294\n", + "Epoch 239/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.6127 - categorical_accuracy: 0.7059\n", + "Epoch 240/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.6132 - categorical_accuracy: 0.7059\n", + "Epoch 241/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.6100 - categorical_accuracy: 0.6588\n", + "Epoch 242/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.6099 - categorical_accuracy: 0.6118\n", + "Epoch 243/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.6078 - categorical_accuracy: 0.6000\n", + "Epoch 244/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.6021 - categorical_accuracy: 0.7059\n", + "Epoch 245/2000\n", + "3/3 [==============================] - 0s 55ms/step - loss: 0.6089 - categorical_accuracy: 0.6941\n", + "Epoch 246/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.6069 - categorical_accuracy: 0.7176\n", + "Epoch 247/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.6045 - categorical_accuracy: 0.7412\n", + "Epoch 248/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5998 - categorical_accuracy: 0.7294\n", + "Epoch 249/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5977 - categorical_accuracy: 0.7765\n", + "Epoch 250/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5977 - categorical_accuracy: 0.6706\n", + "Epoch 251/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5935 - categorical_accuracy: 0.7059\n", + "Epoch 252/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5923 - categorical_accuracy: 0.7059\n", + "Epoch 253/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5916 - categorical_accuracy: 0.7059\n", + "Epoch 254/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5907 - categorical_accuracy: 0.7529\n", + "Epoch 255/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5876 - categorical_accuracy: 0.7529\n", + "Epoch 256/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5865 - categorical_accuracy: 0.7529\n", + "Epoch 257/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5858 - categorical_accuracy: 0.7412\n", + "Epoch 258/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5842 - categorical_accuracy: 0.7294\n", + "Epoch 259/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5847 - categorical_accuracy: 0.7294\n", + "Epoch 260/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5879 - categorical_accuracy: 0.7059\n", + "Epoch 261/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5812 - categorical_accuracy: 0.7059\n", + "Epoch 262/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5858 - categorical_accuracy: 0.7176\n", + "Epoch 263/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5875 - categorical_accuracy: 0.7059\n", + "Epoch 264/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5822 - categorical_accuracy: 0.7412\n", + "Epoch 265/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5829 - categorical_accuracy: 0.6824\n", + "Epoch 266/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5823 - categorical_accuracy: 0.7059\n", + "Epoch 267/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5947 - categorical_accuracy: 0.7412\n", + "Epoch 268/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5764 - categorical_accuracy: 0.7176\n", + "Epoch 269/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5956 - categorical_accuracy: 0.6471\n", + "Epoch 270/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5699 - categorical_accuracy: 0.7059\n", + "Epoch 271/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.6036 - categorical_accuracy: 0.7294\n", + "Epoch 272/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5941 - categorical_accuracy: 0.6941\n", + "Epoch 273/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5820 - categorical_accuracy: 0.6235\n", + "Epoch 274/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5786 - categorical_accuracy: 0.6588\n", + "Epoch 275/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5723 - categorical_accuracy: 0.7412\n", + "Epoch 276/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5780 - categorical_accuracy: 0.7765\n", + "Epoch 277/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5750 - categorical_accuracy: 0.7059\n", + "Epoch 278/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5719 - categorical_accuracy: 0.7176\n", + "Epoch 279/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5756 - categorical_accuracy: 0.6824\n", + "Epoch 280/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5785 - categorical_accuracy: 0.7412\n", + "Epoch 281/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5733 - categorical_accuracy: 0.7765\n", + "Epoch 282/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5722 - categorical_accuracy: 0.7294\n", + "Epoch 283/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5674 - categorical_accuracy: 0.7294\n", + "Epoch 284/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5672 - categorical_accuracy: 0.7529\n", + "Epoch 285/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5698 - categorical_accuracy: 0.7529\n", + "Epoch 286/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5654 - categorical_accuracy: 0.7059\n", + "Epoch 287/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5703 - categorical_accuracy: 0.6824\n", + "Epoch 288/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5631 - categorical_accuracy: 0.7176\n", + "Epoch 289/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5633 - categorical_accuracy: 0.7059\n", + "Epoch 290/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 59ms/step - loss: 0.5641 - categorical_accuracy: 0.6941\n", + "Epoch 291/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5642 - categorical_accuracy: 0.7059\n", + "Epoch 292/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5617 - categorical_accuracy: 0.7294\n", + "Epoch 293/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5634 - categorical_accuracy: 0.6706\n", + "Epoch 294/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5620 - categorical_accuracy: 0.6471\n", + "Epoch 295/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5589 - categorical_accuracy: 0.7294\n", + "Epoch 296/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5560 - categorical_accuracy: 0.7059\n", + "Epoch 297/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5580 - categorical_accuracy: 0.6000\n", + "Epoch 298/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5570 - categorical_accuracy: 0.6353\n", + "Epoch 299/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5555 - categorical_accuracy: 0.6941\n", + "Epoch 300/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5554 - categorical_accuracy: 0.7529\n", + "Epoch 301/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5533 - categorical_accuracy: 0.7294\n", + "Epoch 302/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5540 - categorical_accuracy: 0.7647\n", + "Epoch 303/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5510 - categorical_accuracy: 0.7059\n", + "Epoch 304/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5536 - categorical_accuracy: 0.6471\n", + "Epoch 305/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5767 - categorical_accuracy: 0.6471\n", + "Epoch 306/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.6207 - categorical_accuracy: 0.6353\n", + "Epoch 307/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.6610 - categorical_accuracy: 0.6471\n", + "Epoch 308/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.6314 - categorical_accuracy: 0.6353\n", + "Epoch 309/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.6048 - categorical_accuracy: 0.6471\n", + "Epoch 310/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5722 - categorical_accuracy: 0.7176\n", + "Epoch 311/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5961 - categorical_accuracy: 0.6588\n", + "Epoch 312/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5773 - categorical_accuracy: 0.6706\n", + "Epoch 313/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5901 - categorical_accuracy: 0.7294\n", + "Epoch 314/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5458 - categorical_accuracy: 0.7412\n", + "Epoch 315/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5944 - categorical_accuracy: 0.6353\n", + "Epoch 316/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5478 - categorical_accuracy: 0.7412\n", + "Epoch 317/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.6274 - categorical_accuracy: 0.6824\n", + "Epoch 318/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5651 - categorical_accuracy: 0.7412\n", + "Epoch 319/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5985 - categorical_accuracy: 0.6353\n", + "Epoch 320/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.6129 - categorical_accuracy: 0.7176\n", + "Epoch 321/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5622 - categorical_accuracy: 0.6824\n", + "Epoch 322/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5511 - categorical_accuracy: 0.7176\n", + "Epoch 323/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5362 - categorical_accuracy: 0.6824\n", + "Epoch 324/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5284 - categorical_accuracy: 0.7059\n", + "Epoch 325/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5391 - categorical_accuracy: 0.7176\n", + "Epoch 326/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5120 - categorical_accuracy: 0.7176\n", + "Epoch 327/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5105 - categorical_accuracy: 0.6824\n", + "Epoch 328/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5197 - categorical_accuracy: 0.7412\n", + "Epoch 329/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.6243 - categorical_accuracy: 0.6353\n", + "Epoch 330/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5938 - categorical_accuracy: 0.6471\n", + "Epoch 331/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5958 - categorical_accuracy: 0.6353\n", + "Epoch 332/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5584 - categorical_accuracy: 0.6471\n", + "Epoch 333/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5763 - categorical_accuracy: 0.6471\n", + "Epoch 334/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5841 - categorical_accuracy: 0.6941\n", + "Epoch 335/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5564 - categorical_accuracy: 0.6588\n", + "Epoch 336/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5614 - categorical_accuracy: 0.6588\n", + "Epoch 337/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5653 - categorical_accuracy: 0.6588\n", + "Epoch 338/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5598 - categorical_accuracy: 0.6235\n", + "Epoch 339/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5485 - categorical_accuracy: 0.7412\n", + "Epoch 340/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5549 - categorical_accuracy: 0.7882\n", + "Epoch 341/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5503 - categorical_accuracy: 0.7765\n", + "Epoch 342/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5456 - categorical_accuracy: 0.7765\n", + "Epoch 343/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5477 - categorical_accuracy: 0.8000\n", + "Epoch 344/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5454 - categorical_accuracy: 0.7765\n", + "Epoch 345/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5430 - categorical_accuracy: 0.7882\n", + "Epoch 346/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5422 - categorical_accuracy: 0.8000\n", + "Epoch 347/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5417 - categorical_accuracy: 0.7882\n", + "Epoch 348/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5383 - categorical_accuracy: 0.7647\n", + "Epoch 349/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5368 - categorical_accuracy: 0.7647\n", + "Epoch 350/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5324 - categorical_accuracy: 0.7765\n", + "Epoch 351/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5320 - categorical_accuracy: 0.7765\n", + "Epoch 352/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5281 - categorical_accuracy: 0.6941\n", + "Epoch 353/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5279 - categorical_accuracy: 0.7176\n", + "Epoch 354/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5256 - categorical_accuracy: 0.7647\n", + "Epoch 355/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5263 - categorical_accuracy: 0.7647\n", + "Epoch 356/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5238 - categorical_accuracy: 0.7412\n", + "Epoch 357/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5286 - categorical_accuracy: 0.6824\n", + "Epoch 358/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5286 - categorical_accuracy: 0.7059\n", + "Epoch 359/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5239 - categorical_accuracy: 0.7529\n", + "Epoch 360/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5247 - categorical_accuracy: 0.7294\n", + "Epoch 361/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5289 - categorical_accuracy: 0.7294\n", + "Epoch 362/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 58ms/step - loss: 0.5253 - categorical_accuracy: 0.7529\n", + "Epoch 363/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5217 - categorical_accuracy: 0.6941\n", + "Epoch 364/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5207 - categorical_accuracy: 0.7647\n", + "Epoch 365/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5202 - categorical_accuracy: 0.7882\n", + "Epoch 366/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5214 - categorical_accuracy: 0.7412\n", + "Epoch 367/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5183 - categorical_accuracy: 0.7176\n", + "Epoch 368/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5223 - categorical_accuracy: 0.7765\n", + "Epoch 369/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5231 - categorical_accuracy: 0.7529\n", + "Epoch 370/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5220 - categorical_accuracy: 0.7294\n", + "Epoch 371/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5190 - categorical_accuracy: 0.7294\n", + "Epoch 372/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5155 - categorical_accuracy: 0.8000\n", + "Epoch 373/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5199 - categorical_accuracy: 0.8000\n", + "Epoch 374/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5159 - categorical_accuracy: 0.7529\n", + "Epoch 375/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5179 - categorical_accuracy: 0.7882\n", + "Epoch 376/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5203 - categorical_accuracy: 0.7059\n", + "Epoch 377/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5224 - categorical_accuracy: 0.7765\n", + "Epoch 378/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5135 - categorical_accuracy: 0.7529\n", + "Epoch 379/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5219 - categorical_accuracy: 0.6941\n", + "Epoch 380/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5151 - categorical_accuracy: 0.7765\n", + "Epoch 381/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5137 - categorical_accuracy: 0.7647\n", + "Epoch 382/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5124 - categorical_accuracy: 0.7882\n", + "Epoch 383/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5152 - categorical_accuracy: 0.7647\n", + "Epoch 384/2000\n", + "3/3 [==============================] - 0s 57ms/step - loss: 0.5135 - categorical_accuracy: 0.8000\n", + "Epoch 385/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5141 - categorical_accuracy: 0.7765\n", + "Epoch 386/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5144 - categorical_accuracy: 0.6941\n", + "Epoch 387/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5121 - categorical_accuracy: 0.8235\n", + "Epoch 388/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5147 - categorical_accuracy: 0.7647\n", + "Epoch 389/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5124 - categorical_accuracy: 0.7647\n", + "Epoch 390/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5133 - categorical_accuracy: 0.8000\n", + "Epoch 391/2000\n", + "3/3 [==============================] - 0s 56ms/step - loss: 0.5089 - categorical_accuracy: 0.8000\n", + "Epoch 392/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5149 - categorical_accuracy: 0.8000\n", + "Epoch 393/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5323 - categorical_accuracy: 0.6824\n", + "Epoch 394/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5018 - categorical_accuracy: 0.8118\n", + "Epoch 395/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5224 - categorical_accuracy: 0.8000\n", + "Epoch 396/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5107 - categorical_accuracy: 0.7529\n", + "Epoch 397/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5073 - categorical_accuracy: 0.7765\n", + "Epoch 398/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5085 - categorical_accuracy: 0.8000\n", + "Epoch 399/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5118 - categorical_accuracy: 0.7529\n", + "Epoch 400/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5046 - categorical_accuracy: 0.7647\n", + "Epoch 401/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5133 - categorical_accuracy: 0.8118\n", + "Epoch 402/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5034 - categorical_accuracy: 0.8000\n", + "Epoch 403/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5085 - categorical_accuracy: 0.7882\n", + "Epoch 404/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5074 - categorical_accuracy: 0.8000\n", + "Epoch 405/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5030 - categorical_accuracy: 0.7882\n", + "Epoch 406/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5101 - categorical_accuracy: 0.7765\n", + "Epoch 407/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5107 - categorical_accuracy: 0.7412\n", + "Epoch 408/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5389 - categorical_accuracy: 0.7176\n", + "Epoch 409/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5059 - categorical_accuracy: 0.7882\n", + "Epoch 410/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5325 - categorical_accuracy: 0.6471\n", + "Epoch 411/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5182 - categorical_accuracy: 0.8000\n", + "Epoch 412/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5109 - categorical_accuracy: 0.8118\n", + "Epoch 413/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5359 - categorical_accuracy: 0.6471\n", + "Epoch 414/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5298 - categorical_accuracy: 0.6824\n", + "Epoch 415/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5126 - categorical_accuracy: 0.8118\n", + "Epoch 416/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5133 - categorical_accuracy: 0.6824\n", + "Epoch 417/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5041 - categorical_accuracy: 0.7882\n", + "Epoch 418/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5101 - categorical_accuracy: 0.8000\n", + "Epoch 419/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5328 - categorical_accuracy: 0.6118\n", + "Epoch 420/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5216 - categorical_accuracy: 0.7059\n", + "Epoch 421/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5309 - categorical_accuracy: 0.7294\n", + "Epoch 422/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5004 - categorical_accuracy: 0.8118\n", + "Epoch 423/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5204 - categorical_accuracy: 0.6235\n", + "Epoch 424/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5311 - categorical_accuracy: 0.7765\n", + "Epoch 425/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5294 - categorical_accuracy: 0.7529\n", + "Epoch 426/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.5063 - categorical_accuracy: 0.7647\n", + "Epoch 427/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4966 - categorical_accuracy: 0.8235\n", + "Epoch 428/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4955 - categorical_accuracy: 0.7059\n", + "Epoch 429/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4856 - categorical_accuracy: 0.6941\n", + "Epoch 430/2000\n", + "3/3 [==============================] - 0s 70ms/step - loss: 0.4649 - categorical_accuracy: 0.8118\n", + "Epoch 431/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4361 - categorical_accuracy: 0.7412\n", + "Epoch 432/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4550 - categorical_accuracy: 0.8000\n", + "Epoch 433/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4542 - categorical_accuracy: 0.8118\n", + "Epoch 434/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 61ms/step - loss: 1.0186 - categorical_accuracy: 0.5882\n", + "Epoch 435/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.6964 - categorical_accuracy: 0.6353\n", + "Epoch 436/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.6201 - categorical_accuracy: 0.6471\n", + "Epoch 437/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.6865 - categorical_accuracy: 0.6471\n", + "Epoch 438/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5875 - categorical_accuracy: 0.6000\n", + "Epoch 439/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5588 - categorical_accuracy: 0.7412\n", + "Epoch 440/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5874 - categorical_accuracy: 0.7294\n", + "Epoch 441/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5952 - categorical_accuracy: 0.6471\n", + "Epoch 442/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5611 - categorical_accuracy: 0.6824\n", + "Epoch 443/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5588 - categorical_accuracy: 0.6706\n", + "Epoch 444/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5479 - categorical_accuracy: 0.6588\n", + "Epoch 445/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5552 - categorical_accuracy: 0.6706\n", + "Epoch 446/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5292 - categorical_accuracy: 0.7412\n", + "Epoch 447/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5356 - categorical_accuracy: 0.7412\n", + "Epoch 448/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5369 - categorical_accuracy: 0.7765\n", + "Epoch 449/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5325 - categorical_accuracy: 0.7882\n", + "Epoch 450/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5301 - categorical_accuracy: 0.7529\n", + "Epoch 451/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5243 - categorical_accuracy: 0.7412\n", + "Epoch 452/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5246 - categorical_accuracy: 0.6824\n", + "Epoch 453/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5168 - categorical_accuracy: 0.7059\n", + "Epoch 454/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5234 - categorical_accuracy: 0.7647\n", + "Epoch 455/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5150 - categorical_accuracy: 0.7647\n", + "Epoch 456/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5255 - categorical_accuracy: 0.6706\n", + "Epoch 457/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5048 - categorical_accuracy: 0.6941\n", + "Epoch 458/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5095 - categorical_accuracy: 0.7765\n", + "Epoch 459/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5272 - categorical_accuracy: 0.7176\n", + "Epoch 460/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5063 - categorical_accuracy: 0.8000\n", + "Epoch 461/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.4937 - categorical_accuracy: 0.7647\n", + "Epoch 462/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5385 - categorical_accuracy: 0.7059\n", + "Epoch 463/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5478 - categorical_accuracy: 0.7412\n", + "Epoch 464/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4856 - categorical_accuracy: 0.7412\n", + "Epoch 465/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.5477 - categorical_accuracy: 0.6706\n", + "Epoch 466/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5174 - categorical_accuracy: 0.7059\n", + "Epoch 467/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5030 - categorical_accuracy: 0.8000\n", + "Epoch 468/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5011 - categorical_accuracy: 0.7647\n", + "Epoch 469/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5837 - categorical_accuracy: 0.6471\n", + "Epoch 470/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5107 - categorical_accuracy: 0.6941\n", + "Epoch 471/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5285 - categorical_accuracy: 0.7059\n", + "Epoch 472/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5364 - categorical_accuracy: 0.6824\n", + "Epoch 473/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5266 - categorical_accuracy: 0.6824\n", + "Epoch 474/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5401 - categorical_accuracy: 0.6706\n", + "Epoch 475/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5174 - categorical_accuracy: 0.6588\n", + "Epoch 476/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4990 - categorical_accuracy: 0.6588\n", + "Epoch 477/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5155 - categorical_accuracy: 0.7294\n", + "Epoch 478/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4787 - categorical_accuracy: 0.7647\n", + "Epoch 479/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4977 - categorical_accuracy: 0.7765\n", + "Epoch 480/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.4899 - categorical_accuracy: 0.7176\n", + "Epoch 481/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.6327 - categorical_accuracy: 0.6353\n", + "Epoch 482/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5768 - categorical_accuracy: 0.6471\n", + "Epoch 483/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5702 - categorical_accuracy: 0.6824\n", + "Epoch 484/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5585 - categorical_accuracy: 0.6353\n", + "Epoch 485/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.6211 - categorical_accuracy: 0.6353\n", + "Epoch 486/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.6109 - categorical_accuracy: 0.6471\n", + "Epoch 487/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5957 - categorical_accuracy: 0.6471\n", + "Epoch 488/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5644 - categorical_accuracy: 0.6471\n", + "Epoch 489/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5333 - categorical_accuracy: 0.7529\n", + "Epoch 490/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5589 - categorical_accuracy: 0.6471\n", + "Epoch 491/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5534 - categorical_accuracy: 0.6706\n", + "Epoch 492/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5450 - categorical_accuracy: 0.7647\n", + "Epoch 493/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5345 - categorical_accuracy: 0.6471\n", + "Epoch 494/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5385 - categorical_accuracy: 0.6353\n", + "Epoch 495/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5454 - categorical_accuracy: 0.6706\n", + "Epoch 496/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5307 - categorical_accuracy: 0.6353\n", + "Epoch 497/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5334 - categorical_accuracy: 0.7294\n", + "Epoch 498/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5453 - categorical_accuracy: 0.6706\n", + "Epoch 499/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5428 - categorical_accuracy: 0.6588\n", + "Epoch 500/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5310 - categorical_accuracy: 0.6471\n", + "Epoch 501/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5254 - categorical_accuracy: 0.6471\n", + "Epoch 502/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5349 - categorical_accuracy: 0.7059\n", + "Epoch 503/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5238 - categorical_accuracy: 0.6941\n", + "Epoch 504/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5301 - categorical_accuracy: 0.6941\n", + "Epoch 505/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5232 - categorical_accuracy: 0.7647\n", + "Epoch 506/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 59ms/step - loss: 0.5297 - categorical_accuracy: 0.8118\n", + "Epoch 507/2000\n", + "3/3 [==============================] - 0s 58ms/step - loss: 0.5216 - categorical_accuracy: 0.6941\n", + "Epoch 508/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5225 - categorical_accuracy: 0.6588\n", + "Epoch 509/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5216 - categorical_accuracy: 0.7529\n", + "Epoch 510/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.5228 - categorical_accuracy: 0.8118\n", + "Epoch 511/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5256 - categorical_accuracy: 0.6471\n", + "Epoch 512/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5239 - categorical_accuracy: 0.6235\n", + "Epoch 513/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5199 - categorical_accuracy: 0.8000\n", + "Epoch 514/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5182 - categorical_accuracy: 0.8000\n", + "Epoch 515/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5221 - categorical_accuracy: 0.8118\n", + "Epoch 516/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5199 - categorical_accuracy: 0.8118\n", + "Epoch 517/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5221 - categorical_accuracy: 0.7882\n", + "Epoch 518/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5355 - categorical_accuracy: 0.6706\n", + "Epoch 519/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5287 - categorical_accuracy: 0.6471\n", + "Epoch 520/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5316 - categorical_accuracy: 0.8000\n", + "Epoch 521/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5202 - categorical_accuracy: 0.8118\n", + "Epoch 522/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5225 - categorical_accuracy: 0.6941\n", + "Epoch 523/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5223 - categorical_accuracy: 0.7294\n", + "Epoch 524/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5150 - categorical_accuracy: 0.8118\n", + "Epoch 525/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5230 - categorical_accuracy: 0.7059\n", + "Epoch 526/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5130 - categorical_accuracy: 0.6588\n", + "Epoch 527/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5117 - categorical_accuracy: 0.7882\n", + "Epoch 528/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5143 - categorical_accuracy: 0.8118\n", + "Epoch 529/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5108 - categorical_accuracy: 0.8118\n", + "Epoch 530/2000\n", + "3/3 [==============================] - 0s 59ms/step - loss: 0.5106 - categorical_accuracy: 0.6353\n", + "Epoch 531/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5103 - categorical_accuracy: 0.8235\n", + "Epoch 532/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5134 - categorical_accuracy: 0.7647\n", + "Epoch 533/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5115 - categorical_accuracy: 0.6941\n", + "Epoch 534/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5101 - categorical_accuracy: 0.7412\n", + "Epoch 535/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5086 - categorical_accuracy: 0.7176\n", + "Epoch 536/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5081 - categorical_accuracy: 0.7059\n", + "Epoch 537/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5094 - categorical_accuracy: 0.7176\n", + "Epoch 538/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5082 - categorical_accuracy: 0.7529\n", + "Epoch 539/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5088 - categorical_accuracy: 0.7294\n", + "Epoch 540/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5042 - categorical_accuracy: 0.7176\n", + "Epoch 541/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5069 - categorical_accuracy: 0.8235\n", + "Epoch 542/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5089 - categorical_accuracy: 0.7529\n", + "Epoch 543/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5061 - categorical_accuracy: 0.7176\n", + "Epoch 544/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5042 - categorical_accuracy: 0.8118\n", + "Epoch 545/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5040 - categorical_accuracy: 0.8353\n", + "Epoch 546/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5084 - categorical_accuracy: 0.7294\n", + "Epoch 547/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5064 - categorical_accuracy: 0.7294\n", + "Epoch 548/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5079 - categorical_accuracy: 0.8118\n", + "Epoch 549/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5145 - categorical_accuracy: 0.7765\n", + "Epoch 550/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5256 - categorical_accuracy: 0.8000\n", + "Epoch 551/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5171 - categorical_accuracy: 0.6824\n", + "Epoch 552/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5338 - categorical_accuracy: 0.6353\n", + "Epoch 553/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5486 - categorical_accuracy: 0.7176\n", + "Epoch 554/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.6278 - categorical_accuracy: 0.6941\n", + "Epoch 555/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5723 - categorical_accuracy: 0.6588\n", + "Epoch 556/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5308 - categorical_accuracy: 0.6588\n", + "Epoch 557/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5508 - categorical_accuracy: 0.6941\n", + "Epoch 558/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5639 - categorical_accuracy: 0.6588\n", + "Epoch 559/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5418 - categorical_accuracy: 0.7882\n", + "Epoch 560/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6652 - categorical_accuracy: 0.6824\n", + "Epoch 561/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.6483 - categorical_accuracy: 0.6588\n", + "Epoch 562/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.6572 - categorical_accuracy: 0.6353\n", + "Epoch 563/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.5631 - categorical_accuracy: 0.6941\n", + "Epoch 564/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.6319 - categorical_accuracy: 0.6353\n", + "Epoch 565/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.6067 - categorical_accuracy: 0.6353\n", + "Epoch 566/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5418 - categorical_accuracy: 0.6941\n", + "Epoch 567/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5822 - categorical_accuracy: 0.7412\n", + "Epoch 568/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5648 - categorical_accuracy: 0.6471\n", + "Epoch 569/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.5393 - categorical_accuracy: 0.6706\n", + "Epoch 570/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5218 - categorical_accuracy: 0.8000\n", + "Epoch 571/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5215 - categorical_accuracy: 0.7882\n", + "Epoch 572/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5049 - categorical_accuracy: 0.7882\n", + "Epoch 573/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5173 - categorical_accuracy: 0.6588\n", + "Epoch 574/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5229 - categorical_accuracy: 0.6471\n", + "Epoch 575/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5182 - categorical_accuracy: 0.7059\n", + "Epoch 576/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5152 - categorical_accuracy: 0.7882\n", + "Epoch 577/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5089 - categorical_accuracy: 0.8235\n", + "Epoch 578/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 62ms/step - loss: 0.5051 - categorical_accuracy: 0.7176\n", + "Epoch 579/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5046 - categorical_accuracy: 0.6941\n", + "Epoch 580/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5093 - categorical_accuracy: 0.7529\n", + "Epoch 581/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4997 - categorical_accuracy: 0.8118\n", + "Epoch 582/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5164 - categorical_accuracy: 0.7882\n", + "Epoch 583/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5072 - categorical_accuracy: 0.7647\n", + "Epoch 584/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5094 - categorical_accuracy: 0.6588\n", + "Epoch 585/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5075 - categorical_accuracy: 0.7765\n", + "Epoch 586/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5024 - categorical_accuracy: 0.8000\n", + "Epoch 587/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4961 - categorical_accuracy: 0.7765\n", + "Epoch 588/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4953 - categorical_accuracy: 0.8000\n", + "Epoch 589/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4943 - categorical_accuracy: 0.8235\n", + "Epoch 590/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4907 - categorical_accuracy: 0.8118\n", + "Epoch 591/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4937 - categorical_accuracy: 0.7294\n", + "Epoch 592/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4937 - categorical_accuracy: 0.7294\n", + "Epoch 593/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4877 - categorical_accuracy: 0.8235\n", + "Epoch 594/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5150 - categorical_accuracy: 0.7882\n", + "Epoch 595/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5034 - categorical_accuracy: 0.6941\n", + "Epoch 596/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5211 - categorical_accuracy: 0.7412\n", + "Epoch 597/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5020 - categorical_accuracy: 0.7647\n", + "Epoch 598/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5151 - categorical_accuracy: 0.6353\n", + "Epoch 599/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4870 - categorical_accuracy: 0.8118\n", + "Epoch 600/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5031 - categorical_accuracy: 0.8000\n", + "Epoch 601/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4827 - categorical_accuracy: 0.8000\n", + "Epoch 602/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4918 - categorical_accuracy: 0.6706\n", + "Epoch 603/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4852 - categorical_accuracy: 0.8118\n", + "Epoch 604/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4950 - categorical_accuracy: 0.7765\n", + "Epoch 605/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4893 - categorical_accuracy: 0.7529\n", + "Epoch 606/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4876 - categorical_accuracy: 0.8118\n", + "Epoch 607/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4807 - categorical_accuracy: 0.7882\n", + "Epoch 608/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5012 - categorical_accuracy: 0.6588\n", + "Epoch 609/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5259 - categorical_accuracy: 0.7647\n", + "Epoch 610/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4868 - categorical_accuracy: 0.7765\n", + "Epoch 611/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5034 - categorical_accuracy: 0.6706\n", + "Epoch 612/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5549 - categorical_accuracy: 0.7294\n", + "Epoch 613/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4892 - categorical_accuracy: 0.7882\n", + "Epoch 614/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5375 - categorical_accuracy: 0.6353\n", + "Epoch 615/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5415 - categorical_accuracy: 0.7176\n", + "Epoch 616/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5171 - categorical_accuracy: 0.7647\n", + "Epoch 617/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4968 - categorical_accuracy: 0.6588\n", + "Epoch 618/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4988 - categorical_accuracy: 0.8000\n", + "Epoch 619/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5022 - categorical_accuracy: 0.7294\n", + "Epoch 620/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5046 - categorical_accuracy: 0.8000\n", + "Epoch 621/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5394 - categorical_accuracy: 0.7647\n", + "Epoch 622/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5260 - categorical_accuracy: 0.6235\n", + "Epoch 623/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5022 - categorical_accuracy: 0.7765\n", + "Epoch 624/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4823 - categorical_accuracy: 0.7765\n", + "Epoch 625/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.6127 - categorical_accuracy: 0.7529\n", + "Epoch 626/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4676 - categorical_accuracy: 0.7529\n", + "Epoch 627/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5135 - categorical_accuracy: 0.7294\n", + "Epoch 628/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5253 - categorical_accuracy: 0.7412\n", + "Epoch 629/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5411 - categorical_accuracy: 0.8118\n", + "Epoch 630/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5575 - categorical_accuracy: 0.8000\n", + "Epoch 631/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5514 - categorical_accuracy: 0.6471\n", + "Epoch 632/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5156 - categorical_accuracy: 0.6824\n", + "Epoch 633/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5201 - categorical_accuracy: 0.7882\n", + "Epoch 634/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5061 - categorical_accuracy: 0.7647\n", + "Epoch 635/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.4824 - categorical_accuracy: 0.8000\n", + "Epoch 636/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5175 - categorical_accuracy: 0.7294\n", + "Epoch 637/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5090 - categorical_accuracy: 0.6706\n", + "Epoch 638/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5029 - categorical_accuracy: 0.7765\n", + "Epoch 639/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5046 - categorical_accuracy: 0.7059\n", + "Epoch 640/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7542 - categorical_accuracy: 0.6471\n", + "Epoch 641/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.6598 - categorical_accuracy: 0.6235\n", + "Epoch 642/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.6437 - categorical_accuracy: 0.6353\n", + "Epoch 643/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.6091 - categorical_accuracy: 0.6941\n", + "Epoch 644/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.6523 - categorical_accuracy: 0.6471\n", + "Epoch 645/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5653 - categorical_accuracy: 0.6706\n", + "Epoch 646/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5335 - categorical_accuracy: 0.7059\n", + "Epoch 647/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5775 - categorical_accuracy: 0.7176\n", + "Epoch 648/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5223 - categorical_accuracy: 0.7882\n", + "Epoch 649/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5148 - categorical_accuracy: 0.6706\n", + "Epoch 650/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 63ms/step - loss: 0.5262 - categorical_accuracy: 0.6588\n", + "Epoch 651/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5175 - categorical_accuracy: 0.6941\n", + "Epoch 652/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5074 - categorical_accuracy: 0.8000\n", + "Epoch 653/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5027 - categorical_accuracy: 0.8000\n", + "Epoch 654/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5045 - categorical_accuracy: 0.8118\n", + "Epoch 655/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4981 - categorical_accuracy: 0.8118\n", + "Epoch 656/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5044 - categorical_accuracy: 0.7176\n", + "Epoch 657/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4937 - categorical_accuracy: 0.7412\n", + "Epoch 658/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5073 - categorical_accuracy: 0.7882\n", + "Epoch 659/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4965 - categorical_accuracy: 0.7412\n", + "Epoch 660/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4973 - categorical_accuracy: 0.7059\n", + "Epoch 661/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4873 - categorical_accuracy: 0.7529\n", + "Epoch 662/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4788 - categorical_accuracy: 0.7647\n", + "Epoch 663/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4767 - categorical_accuracy: 0.8235\n", + "Epoch 664/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4784 - categorical_accuracy: 0.8118\n", + "Epoch 665/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4801 - categorical_accuracy: 0.8118\n", + "Epoch 666/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4765 - categorical_accuracy: 0.8118\n", + "Epoch 667/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4735 - categorical_accuracy: 0.8118\n", + "Epoch 668/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4885 - categorical_accuracy: 0.7294\n", + "Epoch 669/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4718 - categorical_accuracy: 0.8000\n", + "Epoch 670/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4932 - categorical_accuracy: 0.7647\n", + "Epoch 671/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.4697 - categorical_accuracy: 0.7765\n", + "Epoch 672/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4628 - categorical_accuracy: 0.8000\n", + "Epoch 673/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4605 - categorical_accuracy: 0.8235\n", + "Epoch 674/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4618 - categorical_accuracy: 0.7412\n", + "Epoch 675/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4623 - categorical_accuracy: 0.8118\n", + "Epoch 676/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4369 - categorical_accuracy: 0.8000\n", + "Epoch 677/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4280 - categorical_accuracy: 0.8000\n", + "Epoch 678/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4252 - categorical_accuracy: 0.8235\n", + "Epoch 679/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4989 - categorical_accuracy: 0.7529\n", + "Epoch 680/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5107 - categorical_accuracy: 0.7412\n", + "Epoch 681/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5112 - categorical_accuracy: 0.7059\n", + "Epoch 682/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5309 - categorical_accuracy: 0.7529\n", + "Epoch 683/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4866 - categorical_accuracy: 0.7529\n", + "Epoch 684/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4782 - categorical_accuracy: 0.7176\n", + "Epoch 685/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4759 - categorical_accuracy: 0.8000\n", + "Epoch 686/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4470 - categorical_accuracy: 0.7882\n", + "Epoch 687/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.4321 - categorical_accuracy: 0.8000\n", + "Epoch 688/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.4585 - categorical_accuracy: 0.7529\n", + "Epoch 689/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4680 - categorical_accuracy: 0.8235\n", + "Epoch 690/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5072 - categorical_accuracy: 0.6706\n", + "Epoch 691/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.6807 - categorical_accuracy: 0.6471\n", + "Epoch 692/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5672 - categorical_accuracy: 0.7176\n", + "Epoch 693/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5319 - categorical_accuracy: 0.6235\n", + "Epoch 694/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.6010 - categorical_accuracy: 0.6588\n", + "Epoch 695/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5195 - categorical_accuracy: 0.6706\n", + "Epoch 696/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4938 - categorical_accuracy: 0.7529\n", + "Epoch 697/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5368 - categorical_accuracy: 0.7059\n", + "Epoch 698/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5171 - categorical_accuracy: 0.7765\n", + "Epoch 699/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4931 - categorical_accuracy: 0.7647\n", + "Epoch 700/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5348 - categorical_accuracy: 0.6471\n", + "Epoch 701/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5270 - categorical_accuracy: 0.7059\n", + "Epoch 702/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4941 - categorical_accuracy: 0.7765\n", + "Epoch 703/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4692 - categorical_accuracy: 0.8000\n", + "Epoch 704/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4720 - categorical_accuracy: 0.8235\n", + "Epoch 705/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4628 - categorical_accuracy: 0.8235\n", + "Epoch 706/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4726 - categorical_accuracy: 0.7647\n", + "Epoch 707/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4576 - categorical_accuracy: 0.7882\n", + "Epoch 708/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4418 - categorical_accuracy: 0.8000\n", + "Epoch 709/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4384 - categorical_accuracy: 0.8118\n", + "Epoch 710/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4136 - categorical_accuracy: 0.8235\n", + "Epoch 711/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4619 - categorical_accuracy: 0.8118\n", + "Epoch 712/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4403 - categorical_accuracy: 0.8118\n", + "Epoch 713/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4134 - categorical_accuracy: 0.8000\n", + "Epoch 714/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.4102 - categorical_accuracy: 0.8353\n", + "Epoch 715/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4207 - categorical_accuracy: 0.8118\n", + "Epoch 716/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4102 - categorical_accuracy: 0.8235\n", + "Epoch 717/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4172 - categorical_accuracy: 0.8235\n", + "Epoch 718/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5089 - categorical_accuracy: 0.7529\n", + "Epoch 719/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4875 - categorical_accuracy: 0.7529\n", + "Epoch 720/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5133 - categorical_accuracy: 0.6471\n", + "Epoch 721/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5133 - categorical_accuracy: 0.7882\n", + "Epoch 722/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 63ms/step - loss: 0.4873 - categorical_accuracy: 0.8000\n", + "Epoch 723/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4964 - categorical_accuracy: 0.6235\n", + "Epoch 724/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4702 - categorical_accuracy: 0.7529\n", + "Epoch 725/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4450 - categorical_accuracy: 0.8118\n", + "Epoch 726/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4385 - categorical_accuracy: 0.7765\n", + "Epoch 727/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6662 - categorical_accuracy: 0.6471\n", + "Epoch 728/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5405 - categorical_accuracy: 0.6941\n", + "Epoch 729/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5844 - categorical_accuracy: 0.6706\n", + "Epoch 730/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4920 - categorical_accuracy: 0.7059\n", + "Epoch 731/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.4771 - categorical_accuracy: 0.7412\n", + "Epoch 732/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4527 - categorical_accuracy: 0.8000\n", + "Epoch 733/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4623 - categorical_accuracy: 0.8118\n", + "Epoch 734/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4318 - categorical_accuracy: 0.8118\n", + "Epoch 735/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4679 - categorical_accuracy: 0.7882\n", + "Epoch 736/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4389 - categorical_accuracy: 0.8235\n", + "Epoch 737/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4497 - categorical_accuracy: 0.8000\n", + "Epoch 738/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4816 - categorical_accuracy: 0.7647\n", + "Epoch 739/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.4873 - categorical_accuracy: 0.7647\n", + "Epoch 740/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5604 - categorical_accuracy: 0.6588\n", + "Epoch 741/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5360 - categorical_accuracy: 0.7412\n", + "Epoch 742/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5079 - categorical_accuracy: 0.6941\n", + "Epoch 743/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5080 - categorical_accuracy: 0.6706\n", + "Epoch 744/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5105 - categorical_accuracy: 0.7294\n", + "Epoch 745/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5113 - categorical_accuracy: 0.7176\n", + "Epoch 746/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4934 - categorical_accuracy: 0.7647\n", + "Epoch 747/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4783 - categorical_accuracy: 0.8235\n", + "Epoch 748/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4706 - categorical_accuracy: 0.8118\n", + "Epoch 749/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.4707 - categorical_accuracy: 0.8118\n", + "Epoch 750/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4743 - categorical_accuracy: 0.7059\n", + "Epoch 751/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4626 - categorical_accuracy: 0.8000\n", + "Epoch 752/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4659 - categorical_accuracy: 0.8000\n", + "Epoch 753/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4595 - categorical_accuracy: 0.7647\n", + "Epoch 754/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4598 - categorical_accuracy: 0.7765\n", + "Epoch 755/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4585 - categorical_accuracy: 0.8118\n", + "Epoch 756/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4486 - categorical_accuracy: 0.8353\n", + "Epoch 757/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4847 - categorical_accuracy: 0.7765\n", + "Epoch 758/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5083 - categorical_accuracy: 0.8000\n", + "Epoch 759/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.5076 - categorical_accuracy: 0.7059\n", + "Epoch 760/2000\n", + "3/3 [==============================] - 0s 75ms/step - loss: 0.4734 - categorical_accuracy: 0.7529\n", + "Epoch 761/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4538 - categorical_accuracy: 0.8118\n", + "Epoch 762/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4681 - categorical_accuracy: 0.8353\n", + "Epoch 763/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4736 - categorical_accuracy: 0.8000\n", + "Epoch 764/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5141 - categorical_accuracy: 0.7647\n", + "Epoch 765/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4729 - categorical_accuracy: 0.7412\n", + "Epoch 766/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4988 - categorical_accuracy: 0.8000\n", + "Epoch 767/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4631 - categorical_accuracy: 0.8235\n", + "Epoch 768/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4796 - categorical_accuracy: 0.7765\n", + "Epoch 769/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4925 - categorical_accuracy: 0.7882\n", + "Epoch 770/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5694 - categorical_accuracy: 0.7294\n", + "Epoch 771/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4716 - categorical_accuracy: 0.7765\n", + "Epoch 772/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5154 - categorical_accuracy: 0.7294\n", + "Epoch 773/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5071 - categorical_accuracy: 0.7765\n", + "Epoch 774/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4922 - categorical_accuracy: 0.8000\n", + "Epoch 775/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6053 - categorical_accuracy: 0.7412\n", + "Epoch 776/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5383 - categorical_accuracy: 0.6824\n", + "Epoch 777/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 1.0498 - categorical_accuracy: 0.6118\n", + "Epoch 778/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 1.0602 - categorical_accuracy: 0.5882\n", + "Epoch 779/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.9654 - categorical_accuracy: 0.4000\n", + "Epoch 780/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5641 - categorical_accuracy: 0.7176\n", + "Epoch 781/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.7042 - categorical_accuracy: 0.6353\n", + "Epoch 782/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5770 - categorical_accuracy: 0.6471\n", + "Epoch 783/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5840 - categorical_accuracy: 0.6588\n", + "Epoch 784/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5687 - categorical_accuracy: 0.6471\n", + "Epoch 785/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.6171 - categorical_accuracy: 0.6824\n", + "Epoch 786/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5762 - categorical_accuracy: 0.7059\n", + "Epoch 787/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5558 - categorical_accuracy: 0.6706\n", + "Epoch 788/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5411 - categorical_accuracy: 0.6588\n", + "Epoch 789/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5246 - categorical_accuracy: 0.6824\n", + "Epoch 790/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5168 - categorical_accuracy: 0.7294\n", + "Epoch 791/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5013 - categorical_accuracy: 0.7765\n", + "Epoch 792/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5017 - categorical_accuracy: 0.6824\n", + "Epoch 793/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5384 - categorical_accuracy: 0.6941\n", + "Epoch 794/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 63ms/step - loss: 0.4930 - categorical_accuracy: 0.7765\n", + "Epoch 795/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5112 - categorical_accuracy: 0.6706\n", + "Epoch 796/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4835 - categorical_accuracy: 0.8118\n", + "Epoch 797/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4978 - categorical_accuracy: 0.8000\n", + "Epoch 798/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4814 - categorical_accuracy: 0.8471\n", + "Epoch 799/2000\n", + "3/3 [==============================] - 0s 69ms/step - loss: 0.4979 - categorical_accuracy: 0.6824\n", + "Epoch 800/2000\n", + "3/3 [==============================] - 0s 70ms/step - loss: 0.4825 - categorical_accuracy: 0.7765\n", + "Epoch 801/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4912 - categorical_accuracy: 0.8000\n", + "Epoch 802/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4885 - categorical_accuracy: 0.7294\n", + "Epoch 803/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4918 - categorical_accuracy: 0.7059\n", + "Epoch 804/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4836 - categorical_accuracy: 0.7412\n", + "Epoch 805/2000\n", + "3/3 [==============================] - 0s 71ms/step - loss: 0.4785 - categorical_accuracy: 0.7647\n", + "Epoch 806/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4814 - categorical_accuracy: 0.8118\n", + "Epoch 807/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4865 - categorical_accuracy: 0.7765\n", + "Epoch 808/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4771 - categorical_accuracy: 0.7412\n", + "Epoch 809/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4850 - categorical_accuracy: 0.8118\n", + "Epoch 810/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4777 - categorical_accuracy: 0.8118\n", + "Epoch 811/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4810 - categorical_accuracy: 0.7059\n", + "Epoch 812/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4788 - categorical_accuracy: 0.6706\n", + "Epoch 813/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4870 - categorical_accuracy: 0.8118\n", + "Epoch 814/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4813 - categorical_accuracy: 0.8118\n", + "Epoch 815/2000\n", + "3/3 [==============================] - 0s 71ms/step - loss: 0.4973 - categorical_accuracy: 0.6941\n", + "Epoch 816/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.5030 - categorical_accuracy: 0.7765\n", + "Epoch 817/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.5072 - categorical_accuracy: 0.7647\n", + "Epoch 818/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5404 - categorical_accuracy: 0.6941\n", + "Epoch 819/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.5193 - categorical_accuracy: 0.7765\n", + "Epoch 820/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.5201 - categorical_accuracy: 0.6353\n", + "Epoch 821/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5093 - categorical_accuracy: 0.6706\n", + "Epoch 822/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4677 - categorical_accuracy: 0.8000\n", + "Epoch 823/2000\n", + "3/3 [==============================] - 0s 76ms/step - loss: 0.4757 - categorical_accuracy: 0.8118\n", + "Epoch 824/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.4750 - categorical_accuracy: 0.7529\n", + "Epoch 825/2000\n", + "3/3 [==============================] - 0s 70ms/step - loss: 0.4711 - categorical_accuracy: 0.8000\n", + "Epoch 826/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.4663 - categorical_accuracy: 0.8118\n", + "Epoch 827/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.4884 - categorical_accuracy: 0.7294\n", + "Epoch 828/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4781 - categorical_accuracy: 0.8000\n", + "Epoch 829/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4887 - categorical_accuracy: 0.8000\n", + "Epoch 830/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4958 - categorical_accuracy: 0.8000\n", + "Epoch 831/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5111 - categorical_accuracy: 0.7529\n", + "Epoch 832/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.4979 - categorical_accuracy: 0.6471\n", + "Epoch 833/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.5146 - categorical_accuracy: 0.8000\n", + "Epoch 834/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5174 - categorical_accuracy: 0.8118\n", + "Epoch 835/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4946 - categorical_accuracy: 0.6588\n", + "Epoch 836/2000\n", + "3/3 [==============================] - 0s 69ms/step - loss: 0.4912 - categorical_accuracy: 0.7412\n", + "Epoch 837/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.4858 - categorical_accuracy: 0.8000\n", + "Epoch 838/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.4779 - categorical_accuracy: 0.6706\n", + "Epoch 839/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4856 - categorical_accuracy: 0.6941\n", + "Epoch 840/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4739 - categorical_accuracy: 0.8118\n", + "Epoch 841/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4650 - categorical_accuracy: 0.7176\n", + "Epoch 842/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4651 - categorical_accuracy: 0.8000\n", + "Epoch 843/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4620 - categorical_accuracy: 0.7882\n", + "Epoch 844/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4679 - categorical_accuracy: 0.8000\n", + "Epoch 845/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4555 - categorical_accuracy: 0.8235\n", + "Epoch 846/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4836 - categorical_accuracy: 0.6941\n", + "Epoch 847/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4727 - categorical_accuracy: 0.8000\n", + "Epoch 848/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4704 - categorical_accuracy: 0.8235\n", + "Epoch 849/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4820 - categorical_accuracy: 0.6706\n", + "Epoch 850/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4647 - categorical_accuracy: 0.7647\n", + "Epoch 851/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4696 - categorical_accuracy: 0.8118\n", + "Epoch 852/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4876 - categorical_accuracy: 0.7059\n", + "Epoch 853/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4796 - categorical_accuracy: 0.7647\n", + "Epoch 854/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4784 - categorical_accuracy: 0.7882\n", + "Epoch 855/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4643 - categorical_accuracy: 0.7529\n", + "Epoch 856/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4531 - categorical_accuracy: 0.8353\n", + "Epoch 857/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4505 - categorical_accuracy: 0.8000\n", + "Epoch 858/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.4513 - categorical_accuracy: 0.8235\n", + "Epoch 859/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4673 - categorical_accuracy: 0.8000\n", + "Epoch 860/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4846 - categorical_accuracy: 0.7059\n", + "Epoch 861/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4720 - categorical_accuracy: 0.7765\n", + "Epoch 862/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4772 - categorical_accuracy: 0.7882\n", + "Epoch 863/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.4781 - categorical_accuracy: 0.6824\n", + "Epoch 864/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4790 - categorical_accuracy: 0.8000\n", + "Epoch 865/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4684 - categorical_accuracy: 0.7647\n", + "Epoch 866/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 65ms/step - loss: 0.4803 - categorical_accuracy: 0.6941\n", + "Epoch 867/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4877 - categorical_accuracy: 0.7059\n", + "Epoch 868/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4467 - categorical_accuracy: 0.8118\n", + "Epoch 869/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4561 - categorical_accuracy: 0.8118\n", + "Epoch 870/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4678 - categorical_accuracy: 0.7176\n", + "Epoch 871/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4508 - categorical_accuracy: 0.8353\n", + "Epoch 872/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4846 - categorical_accuracy: 0.7529\n", + "Epoch 873/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4653 - categorical_accuracy: 0.7412\n", + "Epoch 874/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4641 - categorical_accuracy: 0.7412\n", + "Epoch 875/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4687 - categorical_accuracy: 0.8235\n", + "Epoch 876/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4620 - categorical_accuracy: 0.7529\n", + "Epoch 877/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4458 - categorical_accuracy: 0.7882\n", + "Epoch 878/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4610 - categorical_accuracy: 0.8118\n", + "Epoch 879/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4464 - categorical_accuracy: 0.8000\n", + "Epoch 880/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4493 - categorical_accuracy: 0.7412\n", + "Epoch 881/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4497 - categorical_accuracy: 0.8118\n", + "Epoch 882/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4437 - categorical_accuracy: 0.8000\n", + "Epoch 883/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4448 - categorical_accuracy: 0.8235\n", + "Epoch 884/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4433 - categorical_accuracy: 0.8235\n", + "Epoch 885/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4416 - categorical_accuracy: 0.8235\n", + "Epoch 886/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4490 - categorical_accuracy: 0.8118\n", + "Epoch 887/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4599 - categorical_accuracy: 0.7529\n", + "Epoch 888/2000\n", + "3/3 [==============================] - 0s 70ms/step - loss: 0.4679 - categorical_accuracy: 0.7765\n", + "Epoch 889/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4881 - categorical_accuracy: 0.7412\n", + "Epoch 890/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5532 - categorical_accuracy: 0.7294\n", + "Epoch 891/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4805 - categorical_accuracy: 0.7647\n", + "Epoch 892/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5250 - categorical_accuracy: 0.6706\n", + "Epoch 893/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5122 - categorical_accuracy: 0.7882\n", + "Epoch 894/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5241 - categorical_accuracy: 0.7176\n", + "Epoch 895/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4815 - categorical_accuracy: 0.7176\n", + "Epoch 896/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4661 - categorical_accuracy: 0.8118\n", + "Epoch 897/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4569 - categorical_accuracy: 0.6941\n", + "Epoch 898/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4473 - categorical_accuracy: 0.7765\n", + "Epoch 899/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4533 - categorical_accuracy: 0.8235\n", + "Epoch 900/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4963 - categorical_accuracy: 0.6941\n", + "Epoch 901/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4421 - categorical_accuracy: 0.8118\n", + "Epoch 902/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4492 - categorical_accuracy: 0.8235\n", + "Epoch 903/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4406 - categorical_accuracy: 0.8118\n", + "Epoch 904/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4355 - categorical_accuracy: 0.8353\n", + "Epoch 905/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4377 - categorical_accuracy: 0.8000\n", + "Epoch 906/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4367 - categorical_accuracy: 0.8118\n", + "Epoch 907/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4310 - categorical_accuracy: 0.8118\n", + "Epoch 908/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4471 - categorical_accuracy: 0.8000\n", + "Epoch 909/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4337 - categorical_accuracy: 0.8000\n", + "Epoch 910/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4331 - categorical_accuracy: 0.8235\n", + "Epoch 911/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4330 - categorical_accuracy: 0.7882\n", + "Epoch 912/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4313 - categorical_accuracy: 0.8118\n", + "Epoch 913/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4285 - categorical_accuracy: 0.8118\n", + "Epoch 914/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4215 - categorical_accuracy: 0.8353\n", + "Epoch 915/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4290 - categorical_accuracy: 0.8235\n", + "Epoch 916/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4238 - categorical_accuracy: 0.8118\n", + "Epoch 917/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4269 - categorical_accuracy: 0.8118\n", + "Epoch 918/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4076 - categorical_accuracy: 0.8353\n", + "Epoch 919/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4362 - categorical_accuracy: 0.7529\n", + "Epoch 920/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4275 - categorical_accuracy: 0.8235\n", + "Epoch 921/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4220 - categorical_accuracy: 0.7882\n", + "Epoch 922/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4257 - categorical_accuracy: 0.8000\n", + "Epoch 923/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4330 - categorical_accuracy: 0.7765\n", + "Epoch 924/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4297 - categorical_accuracy: 0.8235\n", + "Epoch 925/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5339 - categorical_accuracy: 0.7647\n", + "Epoch 926/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8876 - categorical_accuracy: 0.6000\n", + "Epoch 927/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.7609 - categorical_accuracy: 0.5412\n", + "Epoch 928/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7670 - categorical_accuracy: 0.6824\n", + "Epoch 929/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7726 - categorical_accuracy: 0.5647\n", + "Epoch 930/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 3.2890 - categorical_accuracy: 0.3529\n", + "Epoch 931/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 3.4182 - categorical_accuracy: 0.3529\n", + "Epoch 932/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 3.1687 - categorical_accuracy: 0.4000\n", + "Epoch 933/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 2.4495 - categorical_accuracy: 0.3059\n", + "Epoch 934/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 2.0270 - categorical_accuracy: 0.2471\n", + "Epoch 935/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 1.3896 - categorical_accuracy: 0.3294\n", + "Epoch 936/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 1.2479 - categorical_accuracy: 0.3176\n", + "Epoch 937/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 1.1780 - categorical_accuracy: 0.4118\n", + "Epoch 938/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 63ms/step - loss: 1.2416 - categorical_accuracy: 0.3294\n", + "Epoch 939/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 1.1020 - categorical_accuracy: 0.4235\n", + "Epoch 940/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 1.1223 - categorical_accuracy: 0.4824\n", + "Epoch 941/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 1.0242 - categorical_accuracy: 0.4824\n", + "Epoch 942/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.9610 - categorical_accuracy: 0.4353\n", + "Epoch 943/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.9619 - categorical_accuracy: 0.4706\n", + "Epoch 944/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.9004 - categorical_accuracy: 0.6000\n", + "Epoch 945/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8933 - categorical_accuracy: 0.6353\n", + "Epoch 946/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.9082 - categorical_accuracy: 0.6000\n", + "Epoch 947/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.9397 - categorical_accuracy: 0.5059\n", + "Epoch 948/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8908 - categorical_accuracy: 0.6471\n", + "Epoch 949/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8866 - categorical_accuracy: 0.5647\n", + "Epoch 950/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.9415 - categorical_accuracy: 0.4353\n", + "Epoch 951/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8723 - categorical_accuracy: 0.6353\n", + "Epoch 952/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8861 - categorical_accuracy: 0.6000\n", + "Epoch 953/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8709 - categorical_accuracy: 0.6706\n", + "Epoch 954/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8730 - categorical_accuracy: 0.6353\n", + "Epoch 955/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8242 - categorical_accuracy: 0.7176\n", + "Epoch 956/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8608 - categorical_accuracy: 0.7176\n", + "Epoch 957/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8268 - categorical_accuracy: 0.7529\n", + "Epoch 958/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8173 - categorical_accuracy: 0.6353\n", + "Epoch 959/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8102 - categorical_accuracy: 0.6471\n", + "Epoch 960/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.8070 - categorical_accuracy: 0.6471\n", + "Epoch 961/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.7999 - categorical_accuracy: 0.7412\n", + "Epoch 962/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8068 - categorical_accuracy: 0.7294\n", + "Epoch 963/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7864 - categorical_accuracy: 0.8000\n", + "Epoch 964/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8064 - categorical_accuracy: 0.6353\n", + "Epoch 965/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8013 - categorical_accuracy: 0.6353\n", + "Epoch 966/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7847 - categorical_accuracy: 0.6824\n", + "Epoch 967/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7834 - categorical_accuracy: 0.7412\n", + "Epoch 968/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.7777 - categorical_accuracy: 0.6824\n", + "Epoch 969/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7801 - categorical_accuracy: 0.6471\n", + "Epoch 970/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.7741 - categorical_accuracy: 0.7176\n", + "Epoch 971/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8137 - categorical_accuracy: 0.6824\n", + "Epoch 972/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8072 - categorical_accuracy: 0.7059\n", + "Epoch 973/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.8112 - categorical_accuracy: 0.6471\n", + "Epoch 974/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8172 - categorical_accuracy: 0.6235\n", + "Epoch 975/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.8015 - categorical_accuracy: 0.6941\n", + "Epoch 976/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.7970 - categorical_accuracy: 0.7176\n", + "Epoch 977/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.7951 - categorical_accuracy: 0.6824\n", + "Epoch 978/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.7977 - categorical_accuracy: 0.6353\n", + "Epoch 979/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.7868 - categorical_accuracy: 0.6235\n", + "Epoch 980/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.8029 - categorical_accuracy: 0.7294\n", + "Epoch 981/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8071 - categorical_accuracy: 0.6353\n", + "Epoch 982/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.7751 - categorical_accuracy: 0.7529\n", + "Epoch 983/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.8050 - categorical_accuracy: 0.6588\n", + "Epoch 984/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.7644 - categorical_accuracy: 0.6353\n", + "Epoch 985/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.7841 - categorical_accuracy: 0.6706\n", + "Epoch 986/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.7528 - categorical_accuracy: 0.7529\n", + "Epoch 987/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.7621 - categorical_accuracy: 0.8118\n", + "Epoch 988/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7453 - categorical_accuracy: 0.7412\n", + "Epoch 989/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7509 - categorical_accuracy: 0.7059\n", + "Epoch 990/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7564 - categorical_accuracy: 0.6824\n", + "Epoch 991/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.7420 - categorical_accuracy: 0.6941\n", + "Epoch 992/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.7256 - categorical_accuracy: 0.8353\n", + "Epoch 993/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.7355 - categorical_accuracy: 0.7059\n", + "Epoch 994/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.7267 - categorical_accuracy: 0.6471\n", + "Epoch 995/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.7199 - categorical_accuracy: 0.6941\n", + "Epoch 996/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.7267 - categorical_accuracy: 0.6588\n", + "Epoch 997/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.6987 - categorical_accuracy: 0.7882\n", + "Epoch 998/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.7114 - categorical_accuracy: 0.6471\n", + "Epoch 999/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.7095 - categorical_accuracy: 0.6471\n", + "Epoch 1000/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6915 - categorical_accuracy: 0.7412\n", + "Epoch 1001/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6848 - categorical_accuracy: 0.7529\n", + "Epoch 1002/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6836 - categorical_accuracy: 0.6471\n", + "Epoch 1003/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6892 - categorical_accuracy: 0.6471\n", + "Epoch 1004/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.6770 - categorical_accuracy: 0.7882\n", + "Epoch 1005/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6791 - categorical_accuracy: 0.7294\n", + "Epoch 1006/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6620 - categorical_accuracy: 0.8353\n", + "Epoch 1007/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6609 - categorical_accuracy: 0.7529\n", + "Epoch 1008/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6602 - categorical_accuracy: 0.6706\n", + "Epoch 1009/2000\n", + "3/3 [==============================] - 0s 69ms/step - loss: 0.6646 - categorical_accuracy: 0.6706\n", + "Epoch 1010/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 65ms/step - loss: 0.6565 - categorical_accuracy: 0.6235\n", + "Epoch 1011/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.6419 - categorical_accuracy: 0.8235\n", + "Epoch 1012/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.6647 - categorical_accuracy: 0.6588\n", + "Epoch 1013/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.6598 - categorical_accuracy: 0.6824\n", + "Epoch 1014/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6902 - categorical_accuracy: 0.5882\n", + "Epoch 1015/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.6805 - categorical_accuracy: 0.7412\n", + "Epoch 1016/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.6596 - categorical_accuracy: 0.6941\n", + "Epoch 1017/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6460 - categorical_accuracy: 0.7059\n", + "Epoch 1018/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6270 - categorical_accuracy: 0.6588\n", + "Epoch 1019/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6218 - categorical_accuracy: 0.7529\n", + "Epoch 1020/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6189 - categorical_accuracy: 0.6824\n", + "Epoch 1021/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6154 - categorical_accuracy: 0.7294\n", + "Epoch 1022/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.6123 - categorical_accuracy: 0.6824\n", + "Epoch 1023/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.6024 - categorical_accuracy: 0.7765\n", + "Epoch 1024/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5982 - categorical_accuracy: 0.7176\n", + "Epoch 1025/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5928 - categorical_accuracy: 0.7059\n", + "Epoch 1026/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6039 - categorical_accuracy: 0.7882\n", + "Epoch 1027/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6114 - categorical_accuracy: 0.7059\n", + "Epoch 1028/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6141 - categorical_accuracy: 0.6941\n", + "Epoch 1029/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6013 - categorical_accuracy: 0.6706\n", + "Epoch 1030/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6003 - categorical_accuracy: 0.7059\n", + "Epoch 1031/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6268 - categorical_accuracy: 0.6471\n", + "Epoch 1032/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5655 - categorical_accuracy: 0.7647\n", + "Epoch 1033/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6065 - categorical_accuracy: 0.6706\n", + "Epoch 1034/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.6013 - categorical_accuracy: 0.7176\n", + "Epoch 1035/2000\n", + "3/3 [==============================] - 0s 78ms/step - loss: 0.5607 - categorical_accuracy: 0.7412\n", + "Epoch 1036/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6105 - categorical_accuracy: 0.6588\n", + "Epoch 1037/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5720 - categorical_accuracy: 0.7529\n", + "Epoch 1038/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5675 - categorical_accuracy: 0.6941\n", + "Epoch 1039/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5824 - categorical_accuracy: 0.6941\n", + "Epoch 1040/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5693 - categorical_accuracy: 0.6824\n", + "Epoch 1041/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5645 - categorical_accuracy: 0.7529\n", + "Epoch 1042/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5650 - categorical_accuracy: 0.7529\n", + "Epoch 1043/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5699 - categorical_accuracy: 0.7059\n", + "Epoch 1044/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5694 - categorical_accuracy: 0.7412\n", + "Epoch 1045/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5617 - categorical_accuracy: 0.6941\n", + "Epoch 1046/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5665 - categorical_accuracy: 0.6588\n", + "Epoch 1047/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5575 - categorical_accuracy: 0.7412\n", + "Epoch 1048/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5537 - categorical_accuracy: 0.7529\n", + "Epoch 1049/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5617 - categorical_accuracy: 0.6706\n", + "Epoch 1050/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5538 - categorical_accuracy: 0.8118\n", + "Epoch 1051/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5547 - categorical_accuracy: 0.7765\n", + "Epoch 1052/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5500 - categorical_accuracy: 0.7059\n", + "Epoch 1053/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5562 - categorical_accuracy: 0.8000\n", + "Epoch 1054/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5545 - categorical_accuracy: 0.6824\n", + "Epoch 1055/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.5479 - categorical_accuracy: 0.7412\n", + "Epoch 1056/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5599 - categorical_accuracy: 0.7529\n", + "Epoch 1057/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5779 - categorical_accuracy: 0.6941\n", + "Epoch 1058/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5703 - categorical_accuracy: 0.6588\n", + "Epoch 1059/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5667 - categorical_accuracy: 0.6235\n", + "Epoch 1060/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5540 - categorical_accuracy: 0.6941\n", + "Epoch 1061/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5602 - categorical_accuracy: 0.6706\n", + "Epoch 1062/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5792 - categorical_accuracy: 0.5882\n", + "Epoch 1063/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5504 - categorical_accuracy: 0.7059\n", + "Epoch 1064/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5568 - categorical_accuracy: 0.6941\n", + "Epoch 1065/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5483 - categorical_accuracy: 0.7765\n", + "Epoch 1066/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5409 - categorical_accuracy: 0.6706\n", + "Epoch 1067/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5405 - categorical_accuracy: 0.7294\n", + "Epoch 1068/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5418 - categorical_accuracy: 0.7412\n", + "Epoch 1069/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.5471 - categorical_accuracy: 0.7412\n", + "Epoch 1070/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5371 - categorical_accuracy: 0.7529\n", + "Epoch 1071/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5357 - categorical_accuracy: 0.7294\n", + "Epoch 1072/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5340 - categorical_accuracy: 0.6941\n", + "Epoch 1073/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5339 - categorical_accuracy: 0.7765\n", + "Epoch 1074/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.5325 - categorical_accuracy: 0.7529\n", + "Epoch 1075/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5363 - categorical_accuracy: 0.7882\n", + "Epoch 1076/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5329 - categorical_accuracy: 0.7529\n", + "Epoch 1077/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5415 - categorical_accuracy: 0.7294\n", + "Epoch 1078/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.5259 - categorical_accuracy: 0.8000\n", + "Epoch 1079/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5462 - categorical_accuracy: 0.6941\n", + "Epoch 1080/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5315 - categorical_accuracy: 0.6941\n", + "Epoch 1081/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5397 - categorical_accuracy: 0.6824\n", + "Epoch 1082/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 65ms/step - loss: 0.5274 - categorical_accuracy: 0.7647\n", + "Epoch 1083/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5428 - categorical_accuracy: 0.6706\n", + "Epoch 1084/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5469 - categorical_accuracy: 0.6941\n", + "Epoch 1085/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5567 - categorical_accuracy: 0.6235\n", + "Epoch 1086/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5357 - categorical_accuracy: 0.7059\n", + "Epoch 1087/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5321 - categorical_accuracy: 0.7176\n", + "Epoch 1088/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5385 - categorical_accuracy: 0.7412\n", + "Epoch 1089/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5242 - categorical_accuracy: 0.7647\n", + "Epoch 1090/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5342 - categorical_accuracy: 0.7529\n", + "Epoch 1091/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5236 - categorical_accuracy: 0.6941\n", + "Epoch 1092/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5379 - categorical_accuracy: 0.7059\n", + "Epoch 1093/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5305 - categorical_accuracy: 0.6824\n", + "Epoch 1094/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5389 - categorical_accuracy: 0.6941\n", + "Epoch 1095/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5436 - categorical_accuracy: 0.6471\n", + "Epoch 1096/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5212 - categorical_accuracy: 0.7882\n", + "Epoch 1097/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5297 - categorical_accuracy: 0.6706\n", + "Epoch 1098/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5383 - categorical_accuracy: 0.7647\n", + "Epoch 1099/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5270 - categorical_accuracy: 0.7529\n", + "Epoch 1100/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5337 - categorical_accuracy: 0.6471\n", + "Epoch 1101/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5317 - categorical_accuracy: 0.7765\n", + "Epoch 1102/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5315 - categorical_accuracy: 0.7529\n", + "Epoch 1103/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5262 - categorical_accuracy: 0.7647\n", + "Epoch 1104/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5349 - categorical_accuracy: 0.6588\n", + "Epoch 1105/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5815 - categorical_accuracy: 0.5765\n", + "Epoch 1106/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5264 - categorical_accuracy: 0.6824\n", + "Epoch 1107/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5494 - categorical_accuracy: 0.6588\n", + "Epoch 1108/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5431 - categorical_accuracy: 0.7059\n", + "Epoch 1109/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5310 - categorical_accuracy: 0.6941\n", + "Epoch 1110/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5589 - categorical_accuracy: 0.6588\n", + "Epoch 1111/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5339 - categorical_accuracy: 0.6941\n", + "Epoch 1112/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5459 - categorical_accuracy: 0.6706\n", + "Epoch 1113/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5464 - categorical_accuracy: 0.6706\n", + "Epoch 1114/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5173 - categorical_accuracy: 0.6941\n", + "Epoch 1115/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5459 - categorical_accuracy: 0.6824\n", + "Epoch 1116/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5370 - categorical_accuracy: 0.7647\n", + "Epoch 1117/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5216 - categorical_accuracy: 0.7412\n", + "Epoch 1118/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5331 - categorical_accuracy: 0.7529\n", + "Epoch 1119/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5431 - categorical_accuracy: 0.7294\n", + "Epoch 1120/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5274 - categorical_accuracy: 0.7176\n", + "Epoch 1121/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5325 - categorical_accuracy: 0.6941\n", + "Epoch 1122/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5143 - categorical_accuracy: 0.6706\n", + "Epoch 1123/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5182 - categorical_accuracy: 0.6824\n", + "Epoch 1124/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5153 - categorical_accuracy: 0.7882\n", + "Epoch 1125/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5182 - categorical_accuracy: 0.7529\n", + "Epoch 1126/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5397 - categorical_accuracy: 0.6941\n", + "Epoch 1127/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5155 - categorical_accuracy: 0.7294\n", + "Epoch 1128/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5254 - categorical_accuracy: 0.7176\n", + "Epoch 1129/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5198 - categorical_accuracy: 0.7176\n", + "Epoch 1130/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5194 - categorical_accuracy: 0.7059\n", + "Epoch 1131/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5247 - categorical_accuracy: 0.7529\n", + "Epoch 1132/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5136 - categorical_accuracy: 0.7882\n", + "Epoch 1133/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5048 - categorical_accuracy: 0.7882\n", + "Epoch 1134/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5178 - categorical_accuracy: 0.7176\n", + "Epoch 1135/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5056 - categorical_accuracy: 0.8235\n", + "Epoch 1136/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5145 - categorical_accuracy: 0.6941\n", + "Epoch 1137/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5077 - categorical_accuracy: 0.7765\n", + "Epoch 1138/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5124 - categorical_accuracy: 0.7529\n", + "Epoch 1139/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5158 - categorical_accuracy: 0.7882\n", + "Epoch 1140/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5158 - categorical_accuracy: 0.8000\n", + "Epoch 1141/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5114 - categorical_accuracy: 0.7765\n", + "Epoch 1142/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5158 - categorical_accuracy: 0.6941\n", + "Epoch 1143/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5189 - categorical_accuracy: 0.7647\n", + "Epoch 1144/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5005 - categorical_accuracy: 0.7529\n", + "Epoch 1145/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5401 - categorical_accuracy: 0.6941\n", + "Epoch 1146/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5118 - categorical_accuracy: 0.7765\n", + "Epoch 1147/2000\n", + "3/3 [==============================] - 0s 60ms/step - loss: 0.5185 - categorical_accuracy: 0.7765\n", + "Epoch 1148/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5124 - categorical_accuracy: 0.6706\n", + "Epoch 1149/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5046 - categorical_accuracy: 0.7176\n", + "Epoch 1150/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5159 - categorical_accuracy: 0.7412\n", + "Epoch 1151/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5087 - categorical_accuracy: 0.7647\n", + "Epoch 1152/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5074 - categorical_accuracy: 0.7647\n", + "Epoch 1153/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5173 - categorical_accuracy: 0.7529\n", + "Epoch 1154/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 62ms/step - loss: 0.5037 - categorical_accuracy: 0.7176\n", + "Epoch 1155/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4992 - categorical_accuracy: 0.7765\n", + "Epoch 1156/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5153 - categorical_accuracy: 0.7529\n", + "Epoch 1157/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.5142 - categorical_accuracy: 0.7059\n", + "Epoch 1158/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5218 - categorical_accuracy: 0.6824\n", + "Epoch 1159/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.5163 - categorical_accuracy: 0.7294\n", + "Epoch 1160/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5042 - categorical_accuracy: 0.8000\n", + "Epoch 1161/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5309 - categorical_accuracy: 0.6471\n", + "Epoch 1162/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5302 - categorical_accuracy: 0.7647\n", + "Epoch 1163/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5122 - categorical_accuracy: 0.7882\n", + "Epoch 1164/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5197 - categorical_accuracy: 0.6706\n", + "Epoch 1165/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5354 - categorical_accuracy: 0.7294\n", + "Epoch 1166/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5047 - categorical_accuracy: 0.8353\n", + "Epoch 1167/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5215 - categorical_accuracy: 0.6588\n", + "Epoch 1168/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4939 - categorical_accuracy: 0.7765\n", + "Epoch 1169/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5061 - categorical_accuracy: 0.8118\n", + "Epoch 1170/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4931 - categorical_accuracy: 0.7529\n", + "Epoch 1171/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5291 - categorical_accuracy: 0.6706\n", + "Epoch 1172/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5126 - categorical_accuracy: 0.7294\n", + "Epoch 1173/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5145 - categorical_accuracy: 0.7294\n", + "Epoch 1174/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5113 - categorical_accuracy: 0.7412\n", + "Epoch 1175/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5032 - categorical_accuracy: 0.7647\n", + "Epoch 1176/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5024 - categorical_accuracy: 0.7882\n", + "Epoch 1177/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5054 - categorical_accuracy: 0.7059\n", + "Epoch 1178/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4917 - categorical_accuracy: 0.8000\n", + "Epoch 1179/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4941 - categorical_accuracy: 0.8235\n", + "Epoch 1180/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4964 - categorical_accuracy: 0.7647\n", + "Epoch 1181/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4910 - categorical_accuracy: 0.8118\n", + "Epoch 1182/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4925 - categorical_accuracy: 0.8118\n", + "Epoch 1183/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4891 - categorical_accuracy: 0.8118\n", + "Epoch 1184/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5006 - categorical_accuracy: 0.7529\n", + "Epoch 1185/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4855 - categorical_accuracy: 0.8353\n", + "Epoch 1186/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5055 - categorical_accuracy: 0.7294\n", + "Epoch 1187/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4994 - categorical_accuracy: 0.7529\n", + "Epoch 1188/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5203 - categorical_accuracy: 0.7529\n", + "Epoch 1189/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4888 - categorical_accuracy: 0.7882\n", + "Epoch 1190/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.5008 - categorical_accuracy: 0.6824\n", + "Epoch 1191/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4837 - categorical_accuracy: 0.8118\n", + "Epoch 1192/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4950 - categorical_accuracy: 0.7765\n", + "Epoch 1193/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5371 - categorical_accuracy: 0.6941\n", + "Epoch 1194/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.4839 - categorical_accuracy: 0.7765\n", + "Epoch 1195/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5419 - categorical_accuracy: 0.7529\n", + "Epoch 1196/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4829 - categorical_accuracy: 0.7882\n", + "Epoch 1197/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5143 - categorical_accuracy: 0.7647\n", + "Epoch 1198/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4850 - categorical_accuracy: 0.7412\n", + "Epoch 1199/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4960 - categorical_accuracy: 0.7059\n", + "Epoch 1200/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.5021 - categorical_accuracy: 0.7647\n", + "Epoch 1201/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5001 - categorical_accuracy: 0.7412\n", + "Epoch 1202/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4727 - categorical_accuracy: 0.8353\n", + "Epoch 1203/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5061 - categorical_accuracy: 0.7529\n", + "Epoch 1204/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4793 - categorical_accuracy: 0.7765\n", + "Epoch 1205/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4889 - categorical_accuracy: 0.7529\n", + "Epoch 1206/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5097 - categorical_accuracy: 0.7412\n", + "Epoch 1207/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4733 - categorical_accuracy: 0.7529\n", + "Epoch 1208/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5016 - categorical_accuracy: 0.7059\n", + "Epoch 1209/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4916 - categorical_accuracy: 0.7647\n", + "Epoch 1210/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4839 - categorical_accuracy: 0.7765\n", + "Epoch 1211/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4806 - categorical_accuracy: 0.8000\n", + "Epoch 1212/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4744 - categorical_accuracy: 0.8118\n", + "Epoch 1213/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4816 - categorical_accuracy: 0.7765\n", + "Epoch 1214/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4677 - categorical_accuracy: 0.8000\n", + "Epoch 1215/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4741 - categorical_accuracy: 0.8118\n", + "Epoch 1216/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4745 - categorical_accuracy: 0.8000\n", + "Epoch 1217/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4858 - categorical_accuracy: 0.7647\n", + "Epoch 1218/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4764 - categorical_accuracy: 0.7765\n", + "Epoch 1219/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5184 - categorical_accuracy: 0.7294\n", + "Epoch 1220/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5495 - categorical_accuracy: 0.7059\n", + "Epoch 1221/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5122 - categorical_accuracy: 0.7059\n", + "Epoch 1222/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5103 - categorical_accuracy: 0.7647\n", + "Epoch 1223/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5365 - categorical_accuracy: 0.7529\n", + "Epoch 1224/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5050 - categorical_accuracy: 0.6941\n", + "Epoch 1225/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4685 - categorical_accuracy: 0.8235\n", + "Epoch 1226/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 65ms/step - loss: 0.5291 - categorical_accuracy: 0.7059\n", + "Epoch 1227/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4750 - categorical_accuracy: 0.7765\n", + "Epoch 1228/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4960 - categorical_accuracy: 0.7059\n", + "Epoch 1229/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5207 - categorical_accuracy: 0.7294\n", + "Epoch 1230/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4674 - categorical_accuracy: 0.7882\n", + "Epoch 1231/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4939 - categorical_accuracy: 0.7529\n", + "Epoch 1232/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4662 - categorical_accuracy: 0.8118\n", + "Epoch 1233/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4794 - categorical_accuracy: 0.7647\n", + "Epoch 1234/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4611 - categorical_accuracy: 0.8000\n", + "Epoch 1235/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4671 - categorical_accuracy: 0.7882\n", + "Epoch 1236/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4655 - categorical_accuracy: 0.7882\n", + "Epoch 1237/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4566 - categorical_accuracy: 0.8000\n", + "Epoch 1238/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4880 - categorical_accuracy: 0.7647\n", + "Epoch 1239/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5077 - categorical_accuracy: 0.6941\n", + "Epoch 1240/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4826 - categorical_accuracy: 0.8235\n", + "Epoch 1241/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.4724 - categorical_accuracy: 0.7882\n", + "Epoch 1242/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4825 - categorical_accuracy: 0.7529\n", + "Epoch 1243/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4771 - categorical_accuracy: 0.7765\n", + "Epoch 1244/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4601 - categorical_accuracy: 0.8235\n", + "Epoch 1245/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4550 - categorical_accuracy: 0.8235\n", + "Epoch 1246/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4616 - categorical_accuracy: 0.8000\n", + "Epoch 1247/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4709 - categorical_accuracy: 0.8235\n", + "Epoch 1248/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4704 - categorical_accuracy: 0.7882\n", + "Epoch 1249/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4478 - categorical_accuracy: 0.8353\n", + "Epoch 1250/2000\n", + "3/3 [==============================] - 0s 70ms/step - loss: 0.4569 - categorical_accuracy: 0.8235\n", + "Epoch 1251/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4828 - categorical_accuracy: 0.7765\n", + "Epoch 1252/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4710 - categorical_accuracy: 0.7647\n", + "Epoch 1253/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4664 - categorical_accuracy: 0.8000\n", + "Epoch 1254/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4862 - categorical_accuracy: 0.7765\n", + "Epoch 1255/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5185 - categorical_accuracy: 0.6824\n", + "Epoch 1256/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4505 - categorical_accuracy: 0.8471\n", + "Epoch 1257/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4548 - categorical_accuracy: 0.8118\n", + "Epoch 1258/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4679 - categorical_accuracy: 0.7765\n", + "Epoch 1259/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4454 - categorical_accuracy: 0.8471\n", + "Epoch 1260/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4513 - categorical_accuracy: 0.8235\n", + "Epoch 1261/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4850 - categorical_accuracy: 0.7647\n", + "Epoch 1262/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4549 - categorical_accuracy: 0.7647\n", + "Epoch 1263/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4413 - categorical_accuracy: 0.8000\n", + "Epoch 1264/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4603 - categorical_accuracy: 0.7765\n", + "Epoch 1265/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4856 - categorical_accuracy: 0.7882\n", + "Epoch 1266/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4831 - categorical_accuracy: 0.7765\n", + "Epoch 1267/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4324 - categorical_accuracy: 0.8588\n", + "Epoch 1268/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4503 - categorical_accuracy: 0.7882\n", + "Epoch 1269/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4828 - categorical_accuracy: 0.7765\n", + "Epoch 1270/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4603 - categorical_accuracy: 0.7765\n", + "Epoch 1271/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4629 - categorical_accuracy: 0.8118\n", + "Epoch 1272/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4688 - categorical_accuracy: 0.7882\n", + "Epoch 1273/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4813 - categorical_accuracy: 0.8000\n", + "Epoch 1274/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4829 - categorical_accuracy: 0.7294\n", + "Epoch 1275/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4356 - categorical_accuracy: 0.8118\n", + "Epoch 1276/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4495 - categorical_accuracy: 0.8118\n", + "Epoch 1277/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4393 - categorical_accuracy: 0.7765\n", + "Epoch 1278/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4528 - categorical_accuracy: 0.8000\n", + "Epoch 1279/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4705 - categorical_accuracy: 0.7412\n", + "Epoch 1280/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.4521 - categorical_accuracy: 0.8000\n", + "Epoch 1281/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4766 - categorical_accuracy: 0.7294\n", + "Epoch 1282/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5109 - categorical_accuracy: 0.7294\n", + "Epoch 1283/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4507 - categorical_accuracy: 0.7882\n", + "Epoch 1284/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4337 - categorical_accuracy: 0.8235\n", + "Epoch 1285/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4378 - categorical_accuracy: 0.8000\n", + "Epoch 1286/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4609 - categorical_accuracy: 0.8000\n", + "Epoch 1287/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4231 - categorical_accuracy: 0.8588\n", + "Epoch 1288/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4363 - categorical_accuracy: 0.8353\n", + "Epoch 1289/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4412 - categorical_accuracy: 0.7882\n", + "Epoch 1290/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4354 - categorical_accuracy: 0.8235\n", + "Epoch 1291/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4234 - categorical_accuracy: 0.8353\n", + "Epoch 1292/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.4273 - categorical_accuracy: 0.8000\n", + "Epoch 1293/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5019 - categorical_accuracy: 0.7647\n", + "Epoch 1294/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6015 - categorical_accuracy: 0.7059\n", + "Epoch 1295/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5337 - categorical_accuracy: 0.7882\n", + "Epoch 1296/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4590 - categorical_accuracy: 0.8118\n", + "Epoch 1297/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4123 - categorical_accuracy: 0.8235\n", + "Epoch 1298/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 65ms/step - loss: 0.4768 - categorical_accuracy: 0.7882\n", + "Epoch 1299/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.4507 - categorical_accuracy: 0.7765\n", + "Epoch 1300/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4278 - categorical_accuracy: 0.8118\n", + "Epoch 1301/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4148 - categorical_accuracy: 0.8471\n", + "Epoch 1302/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.4332 - categorical_accuracy: 0.8000\n", + "Epoch 1303/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5092 - categorical_accuracy: 0.7412\n", + "Epoch 1304/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4483 - categorical_accuracy: 0.8118\n", + "Epoch 1305/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.4487 - categorical_accuracy: 0.8000\n", + "Epoch 1306/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4263 - categorical_accuracy: 0.8353\n", + "Epoch 1307/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4740 - categorical_accuracy: 0.7294\n", + "Epoch 1308/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.5042 - categorical_accuracy: 0.7412\n", + "Epoch 1309/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4148 - categorical_accuracy: 0.8235\n", + "Epoch 1310/2000\n", + "3/3 [==============================] - 0s 71ms/step - loss: 0.4192 - categorical_accuracy: 0.8000\n", + "Epoch 1311/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4960 - categorical_accuracy: 0.7765\n", + "Epoch 1312/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.4327 - categorical_accuracy: 0.8000\n", + "Epoch 1313/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4858 - categorical_accuracy: 0.7882\n", + "Epoch 1314/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4244 - categorical_accuracy: 0.8235\n", + "Epoch 1315/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4314 - categorical_accuracy: 0.8000\n", + "Epoch 1316/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4725 - categorical_accuracy: 0.7765\n", + "Epoch 1317/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4551 - categorical_accuracy: 0.7765\n", + "Epoch 1318/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4379 - categorical_accuracy: 0.8118\n", + "Epoch 1319/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4120 - categorical_accuracy: 0.8118\n", + "Epoch 1320/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4146 - categorical_accuracy: 0.8588\n", + "Epoch 1321/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3958 - categorical_accuracy: 0.8588\n", + "Epoch 1322/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4325 - categorical_accuracy: 0.8118\n", + "Epoch 1323/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4873 - categorical_accuracy: 0.7765\n", + "Epoch 1324/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4129 - categorical_accuracy: 0.8235\n", + "Epoch 1325/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4134 - categorical_accuracy: 0.8471\n", + "Epoch 1326/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4133 - categorical_accuracy: 0.8471\n", + "Epoch 1327/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4002 - categorical_accuracy: 0.8353\n", + "Epoch 1328/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4082 - categorical_accuracy: 0.8353\n", + "Epoch 1329/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4344 - categorical_accuracy: 0.8588\n", + "Epoch 1330/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3933 - categorical_accuracy: 0.8471\n", + "Epoch 1331/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4144 - categorical_accuracy: 0.8118\n", + "Epoch 1332/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4117 - categorical_accuracy: 0.8471\n", + "Epoch 1333/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3998 - categorical_accuracy: 0.8235\n", + "Epoch 1334/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4048 - categorical_accuracy: 0.8353\n", + "Epoch 1335/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4246 - categorical_accuracy: 0.8118\n", + "Epoch 1336/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4204 - categorical_accuracy: 0.8235\n", + "Epoch 1337/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4063 - categorical_accuracy: 0.8353\n", + "Epoch 1338/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3839 - categorical_accuracy: 0.8235\n", + "Epoch 1339/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4641 - categorical_accuracy: 0.8000\n", + "Epoch 1340/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4449 - categorical_accuracy: 0.7765\n", + "Epoch 1341/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3950 - categorical_accuracy: 0.8588\n", + "Epoch 1342/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4662 - categorical_accuracy: 0.7647\n", + "Epoch 1343/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5564 - categorical_accuracy: 0.7765\n", + "Epoch 1344/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4260 - categorical_accuracy: 0.8118\n", + "Epoch 1345/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3874 - categorical_accuracy: 0.8588\n", + "Epoch 1346/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3853 - categorical_accuracy: 0.8471\n", + "Epoch 1347/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4236 - categorical_accuracy: 0.7882\n", + "Epoch 1348/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4413 - categorical_accuracy: 0.8471\n", + "Epoch 1349/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3880 - categorical_accuracy: 0.8235\n", + "Epoch 1350/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4312 - categorical_accuracy: 0.8118\n", + "Epoch 1351/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4057 - categorical_accuracy: 0.8118\n", + "Epoch 1352/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4104 - categorical_accuracy: 0.7882\n", + "Epoch 1353/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4013 - categorical_accuracy: 0.8353\n", + "Epoch 1354/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3830 - categorical_accuracy: 0.8353\n", + "Epoch 1355/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4201 - categorical_accuracy: 0.8471\n", + "Epoch 1356/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3906 - categorical_accuracy: 0.8353\n", + "Epoch 1357/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4014 - categorical_accuracy: 0.8471\n", + "Epoch 1358/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4096 - categorical_accuracy: 0.8235\n", + "Epoch 1359/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4162 - categorical_accuracy: 0.8118\n", + "Epoch 1360/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4823 - categorical_accuracy: 0.7882\n", + "Epoch 1361/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4178 - categorical_accuracy: 0.8000\n", + "Epoch 1362/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4926 - categorical_accuracy: 0.7882\n", + "Epoch 1363/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4115 - categorical_accuracy: 0.8235\n", + "Epoch 1364/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4895 - categorical_accuracy: 0.7882\n", + "Epoch 1365/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3494 - categorical_accuracy: 0.8588\n", + "Epoch 1366/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4466 - categorical_accuracy: 0.7882\n", + "Epoch 1367/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4417 - categorical_accuracy: 0.8353\n", + "Epoch 1368/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4438 - categorical_accuracy: 0.7882\n", + "Epoch 1369/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4157 - categorical_accuracy: 0.8471\n", + "Epoch 1370/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 64ms/step - loss: 0.3755 - categorical_accuracy: 0.8588\n", + "Epoch 1371/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4617 - categorical_accuracy: 0.7647\n", + "Epoch 1372/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3847 - categorical_accuracy: 0.8471\n", + "Epoch 1373/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4056 - categorical_accuracy: 0.8588\n", + "Epoch 1374/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3973 - categorical_accuracy: 0.8118\n", + "Epoch 1375/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3642 - categorical_accuracy: 0.8588\n", + "Epoch 1376/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3970 - categorical_accuracy: 0.8471\n", + "Epoch 1377/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3698 - categorical_accuracy: 0.8471\n", + "Epoch 1378/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3880 - categorical_accuracy: 0.8588\n", + "Epoch 1379/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3791 - categorical_accuracy: 0.8588\n", + "Epoch 1380/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3689 - categorical_accuracy: 0.8588\n", + "Epoch 1381/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3693 - categorical_accuracy: 0.8471\n", + "Epoch 1382/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3678 - categorical_accuracy: 0.8471\n", + "Epoch 1383/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3776 - categorical_accuracy: 0.8471\n", + "Epoch 1384/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3694 - categorical_accuracy: 0.8588\n", + "Epoch 1385/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4068 - categorical_accuracy: 0.8588\n", + "Epoch 1386/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4255 - categorical_accuracy: 0.8235\n", + "Epoch 1387/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4316 - categorical_accuracy: 0.8000\n", + "Epoch 1388/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3800 - categorical_accuracy: 0.8588\n", + "Epoch 1389/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3728 - categorical_accuracy: 0.8588\n", + "Epoch 1390/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3696 - categorical_accuracy: 0.8588\n", + "Epoch 1391/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3718 - categorical_accuracy: 0.8353\n", + "Epoch 1392/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3924 - categorical_accuracy: 0.8235\n", + "Epoch 1393/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3764 - categorical_accuracy: 0.8471\n", + "Epoch 1394/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3773 - categorical_accuracy: 0.8588\n", + "Epoch 1395/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3788 - categorical_accuracy: 0.8353\n", + "Epoch 1396/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3977 - categorical_accuracy: 0.8471\n", + "Epoch 1397/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3702 - categorical_accuracy: 0.8588\n", + "Epoch 1398/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3715 - categorical_accuracy: 0.8471\n", + "Epoch 1399/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3732 - categorical_accuracy: 0.8471\n", + "Epoch 1400/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3572 - categorical_accuracy: 0.8588\n", + "Epoch 1401/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3602 - categorical_accuracy: 0.8706\n", + "Epoch 1402/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3637 - categorical_accuracy: 0.8588\n", + "Epoch 1403/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3809 - categorical_accuracy: 0.8588\n", + "Epoch 1404/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3629 - categorical_accuracy: 0.8471\n", + "Epoch 1405/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4199 - categorical_accuracy: 0.7882\n", + "Epoch 1406/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4900 - categorical_accuracy: 0.7882\n", + "Epoch 1407/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4564 - categorical_accuracy: 0.8118\n", + "Epoch 1408/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.4614 - categorical_accuracy: 0.8118\n", + "Epoch 1409/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4170 - categorical_accuracy: 0.8000\n", + "Epoch 1410/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4847 - categorical_accuracy: 0.8000\n", + "Epoch 1411/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4037 - categorical_accuracy: 0.7882\n", + "Epoch 1412/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3914 - categorical_accuracy: 0.8588\n", + "Epoch 1413/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3752 - categorical_accuracy: 0.8353\n", + "Epoch 1414/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3549 - categorical_accuracy: 0.8706\n", + "Epoch 1415/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3984 - categorical_accuracy: 0.8588\n", + "Epoch 1416/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3710 - categorical_accuracy: 0.8588\n", + "Epoch 1417/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3996 - categorical_accuracy: 0.8235\n", + "Epoch 1418/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4412 - categorical_accuracy: 0.8118\n", + "Epoch 1419/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4358 - categorical_accuracy: 0.7882\n", + "Epoch 1420/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4564 - categorical_accuracy: 0.7882\n", + "Epoch 1421/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.4031 - categorical_accuracy: 0.8118\n", + "Epoch 1422/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3719 - categorical_accuracy: 0.8824\n", + "Epoch 1423/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4079 - categorical_accuracy: 0.8353\n", + "Epoch 1424/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3672 - categorical_accuracy: 0.8588\n", + "Epoch 1425/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3969 - categorical_accuracy: 0.8118\n", + "Epoch 1426/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3884 - categorical_accuracy: 0.8824\n", + "Epoch 1427/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3537 - categorical_accuracy: 0.8471\n", + "Epoch 1428/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3664 - categorical_accuracy: 0.8588\n", + "Epoch 1429/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.4187 - categorical_accuracy: 0.8588\n", + "Epoch 1430/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3525 - categorical_accuracy: 0.8471\n", + "Epoch 1431/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4181 - categorical_accuracy: 0.7882\n", + "Epoch 1432/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4214 - categorical_accuracy: 0.8471\n", + "Epoch 1433/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3711 - categorical_accuracy: 0.8000\n", + "Epoch 1434/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4031 - categorical_accuracy: 0.8353\n", + "Epoch 1435/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4289 - categorical_accuracy: 0.7882\n", + "Epoch 1436/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3525 - categorical_accuracy: 0.8588\n", + "Epoch 1437/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3583 - categorical_accuracy: 0.8471\n", + "Epoch 1438/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3725 - categorical_accuracy: 0.8588\n", + "Epoch 1439/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3919 - categorical_accuracy: 0.8471\n", + "Epoch 1440/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.4358 - categorical_accuracy: 0.8235\n", + "Epoch 1441/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4060 - categorical_accuracy: 0.8000\n", + "Epoch 1442/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 65ms/step - loss: 0.3870 - categorical_accuracy: 0.8706\n", + "Epoch 1443/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4357 - categorical_accuracy: 0.8118\n", + "Epoch 1444/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3696 - categorical_accuracy: 0.8588\n", + "Epoch 1445/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4049 - categorical_accuracy: 0.8471\n", + "Epoch 1446/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4296 - categorical_accuracy: 0.8941\n", + "Epoch 1447/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4000 - categorical_accuracy: 0.8118\n", + "Epoch 1448/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3870 - categorical_accuracy: 0.8706\n", + "Epoch 1449/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3333 - categorical_accuracy: 0.8588\n", + "Epoch 1450/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3724 - categorical_accuracy: 0.8353\n", + "Epoch 1451/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3802 - categorical_accuracy: 0.8471\n", + "Epoch 1452/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3411 - categorical_accuracy: 0.8706\n", + "Epoch 1453/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3668 - categorical_accuracy: 0.8471\n", + "Epoch 1454/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3921 - categorical_accuracy: 0.8588\n", + "Epoch 1455/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4443 - categorical_accuracy: 0.8353\n", + "Epoch 1456/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.3848 - categorical_accuracy: 0.8235\n", + "Epoch 1457/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3629 - categorical_accuracy: 0.8471\n", + "Epoch 1458/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4090 - categorical_accuracy: 0.8824\n", + "Epoch 1459/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4084 - categorical_accuracy: 0.8000\n", + "Epoch 1460/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4250 - categorical_accuracy: 0.8471\n", + "Epoch 1461/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3426 - categorical_accuracy: 0.8471\n", + "Epoch 1462/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3861 - categorical_accuracy: 0.8471\n", + "Epoch 1463/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3722 - categorical_accuracy: 0.8588\n", + "Epoch 1464/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4398 - categorical_accuracy: 0.8353\n", + "Epoch 1465/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4171 - categorical_accuracy: 0.7765\n", + "Epoch 1466/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3442 - categorical_accuracy: 0.8588\n", + "Epoch 1467/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3611 - categorical_accuracy: 0.8588\n", + "Epoch 1468/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4168 - categorical_accuracy: 0.8235\n", + "Epoch 1469/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3872 - categorical_accuracy: 0.8471\n", + "Epoch 1470/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3835 - categorical_accuracy: 0.8118\n", + "Epoch 1471/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3475 - categorical_accuracy: 0.8353\n", + "Epoch 1472/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3513 - categorical_accuracy: 0.8588\n", + "Epoch 1473/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3456 - categorical_accuracy: 0.8588\n", + "Epoch 1474/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3502 - categorical_accuracy: 0.8471\n", + "Epoch 1475/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3878 - categorical_accuracy: 0.8235\n", + "Epoch 1476/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3621 - categorical_accuracy: 0.8471\n", + "Epoch 1477/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.3912 - categorical_accuracy: 0.8235\n", + "Epoch 1478/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3835 - categorical_accuracy: 0.8353\n", + "Epoch 1479/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3921 - categorical_accuracy: 0.8118\n", + "Epoch 1480/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5495 - categorical_accuracy: 0.8118\n", + "Epoch 1481/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.6445 - categorical_accuracy: 0.7176\n", + "Epoch 1482/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.6207 - categorical_accuracy: 0.7529\n", + "Epoch 1483/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.5583 - categorical_accuracy: 0.7059\n", + "Epoch 1484/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.4758 - categorical_accuracy: 0.7882\n", + "Epoch 1485/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4507 - categorical_accuracy: 0.8353\n", + "Epoch 1486/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5781 - categorical_accuracy: 0.7059\n", + "Epoch 1487/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4296 - categorical_accuracy: 0.8588\n", + "Epoch 1488/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3878 - categorical_accuracy: 0.8353\n", + "Epoch 1489/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3511 - categorical_accuracy: 0.8588\n", + "Epoch 1490/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3632 - categorical_accuracy: 0.8706\n", + "Epoch 1491/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3467 - categorical_accuracy: 0.8941\n", + "Epoch 1492/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3500 - categorical_accuracy: 0.8353\n", + "Epoch 1493/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3432 - categorical_accuracy: 0.8588\n", + "Epoch 1494/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3388 - categorical_accuracy: 0.8588\n", + "Epoch 1495/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3374 - categorical_accuracy: 0.8588\n", + "Epoch 1496/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3343 - categorical_accuracy: 0.8706\n", + "Epoch 1497/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3380 - categorical_accuracy: 0.8588\n", + "Epoch 1498/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3571 - categorical_accuracy: 0.8471\n", + "Epoch 1499/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3355 - categorical_accuracy: 0.8471\n", + "Epoch 1500/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3332 - categorical_accuracy: 0.8706\n", + "Epoch 1501/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3385 - categorical_accuracy: 0.8588\n", + "Epoch 1502/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3472 - categorical_accuracy: 0.8706\n", + "Epoch 1503/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3501 - categorical_accuracy: 0.8471\n", + "Epoch 1504/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3261 - categorical_accuracy: 0.8706\n", + "Epoch 1505/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3528 - categorical_accuracy: 0.8588\n", + "Epoch 1506/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3430 - categorical_accuracy: 0.8353\n", + "Epoch 1507/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3852 - categorical_accuracy: 0.8588\n", + "Epoch 1508/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3303 - categorical_accuracy: 0.8588\n", + "Epoch 1509/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3748 - categorical_accuracy: 0.8588\n", + "Epoch 1510/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3592 - categorical_accuracy: 0.8353\n", + "Epoch 1511/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3336 - categorical_accuracy: 0.8588\n", + "Epoch 1512/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3523 - categorical_accuracy: 0.8941\n", + "Epoch 1513/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3368 - categorical_accuracy: 0.8353\n", + "Epoch 1514/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 64ms/step - loss: 0.3510 - categorical_accuracy: 0.8588\n", + "Epoch 1515/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3386 - categorical_accuracy: 0.8588\n", + "Epoch 1516/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3213 - categorical_accuracy: 0.8824\n", + "Epoch 1517/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3497 - categorical_accuracy: 0.8471\n", + "Epoch 1518/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4012 - categorical_accuracy: 0.8471\n", + "Epoch 1519/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3500 - categorical_accuracy: 0.8471\n", + "Epoch 1520/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3222 - categorical_accuracy: 0.8588\n", + "Epoch 1521/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3199 - categorical_accuracy: 0.8706\n", + "Epoch 1522/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3204 - categorical_accuracy: 0.8706\n", + "Epoch 1523/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3199 - categorical_accuracy: 0.8824\n", + "Epoch 1524/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3430 - categorical_accuracy: 0.8706\n", + "Epoch 1525/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3119 - categorical_accuracy: 0.8588\n", + "Epoch 1526/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3374 - categorical_accuracy: 0.8588\n", + "Epoch 1527/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3587 - categorical_accuracy: 0.8588\n", + "Epoch 1528/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3614 - categorical_accuracy: 0.8471\n", + "Epoch 1529/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3374 - categorical_accuracy: 0.8471\n", + "Epoch 1530/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3184 - categorical_accuracy: 0.8706\n", + "Epoch 1531/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3295 - categorical_accuracy: 0.8588\n", + "Epoch 1532/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.3398 - categorical_accuracy: 0.8588\n", + "Epoch 1533/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3288 - categorical_accuracy: 0.8471\n", + "Epoch 1534/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3088 - categorical_accuracy: 0.8824\n", + "Epoch 1535/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3100 - categorical_accuracy: 0.8588\n", + "Epoch 1536/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3224 - categorical_accuracy: 0.8471\n", + "Epoch 1537/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3097 - categorical_accuracy: 0.8588\n", + "Epoch 1538/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3312 - categorical_accuracy: 0.8706\n", + "Epoch 1539/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3148 - categorical_accuracy: 0.8471\n", + "Epoch 1540/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3227 - categorical_accuracy: 0.8706\n", + "Epoch 1541/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3132 - categorical_accuracy: 0.8824\n", + "Epoch 1542/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3250 - categorical_accuracy: 0.8588\n", + "Epoch 1543/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3578 - categorical_accuracy: 0.8235\n", + "Epoch 1544/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4531 - categorical_accuracy: 0.8471\n", + "Epoch 1545/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3283 - categorical_accuracy: 0.8588\n", + "Epoch 1546/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3098 - categorical_accuracy: 0.8824\n", + "Epoch 1547/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.3257 - categorical_accuracy: 0.8588\n", + "Epoch 1548/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3186 - categorical_accuracy: 0.8588\n", + "Epoch 1549/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3143 - categorical_accuracy: 0.8706\n", + "Epoch 1550/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.3043 - categorical_accuracy: 0.8824\n", + "Epoch 1551/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.3112 - categorical_accuracy: 0.8706\n", + "Epoch 1552/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3296 - categorical_accuracy: 0.8588\n", + "Epoch 1553/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3719 - categorical_accuracy: 0.8588\n", + "Epoch 1554/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.3256 - categorical_accuracy: 0.8588\n", + "Epoch 1555/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3243 - categorical_accuracy: 0.8706\n", + "Epoch 1556/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3635 - categorical_accuracy: 0.8118\n", + "Epoch 1557/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3090 - categorical_accuracy: 0.8706\n", + "Epoch 1558/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3033 - categorical_accuracy: 0.8824\n", + "Epoch 1559/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.3056 - categorical_accuracy: 0.8588\n", + "Epoch 1560/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3116 - categorical_accuracy: 0.8588\n", + "Epoch 1561/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3107 - categorical_accuracy: 0.8706\n", + "Epoch 1562/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3160 - categorical_accuracy: 0.8706\n", + "Epoch 1563/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3662 - categorical_accuracy: 0.8471\n", + "Epoch 1564/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3229 - categorical_accuracy: 0.8588\n", + "Epoch 1565/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3001 - categorical_accuracy: 0.8706\n", + "Epoch 1566/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2991 - categorical_accuracy: 0.8588\n", + "Epoch 1567/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3138 - categorical_accuracy: 0.8706\n", + "Epoch 1568/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3198 - categorical_accuracy: 0.8824\n", + "Epoch 1569/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3359 - categorical_accuracy: 0.8706\n", + "Epoch 1570/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3232 - categorical_accuracy: 0.8706\n", + "Epoch 1571/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3493 - categorical_accuracy: 0.8588\n", + "Epoch 1572/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3705 - categorical_accuracy: 0.8588\n", + "Epoch 1573/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4364 - categorical_accuracy: 0.8353\n", + "Epoch 1574/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.3762 - categorical_accuracy: 0.8118\n", + "Epoch 1575/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3162 - categorical_accuracy: 0.8706\n", + "Epoch 1576/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3044 - categorical_accuracy: 0.8706\n", + "Epoch 1577/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.3049 - categorical_accuracy: 0.8824\n", + "Epoch 1578/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3093 - categorical_accuracy: 0.8588\n", + "Epoch 1579/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3022 - categorical_accuracy: 0.8706\n", + "Epoch 1580/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2927 - categorical_accuracy: 0.8588\n", + "Epoch 1581/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.3006 - categorical_accuracy: 0.8706\n", + "Epoch 1582/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.3070 - categorical_accuracy: 0.8941\n", + "Epoch 1583/2000\n", + "3/3 [==============================] - 0s 70ms/step - loss: 0.2960 - categorical_accuracy: 0.8706\n", + "Epoch 1584/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2990 - categorical_accuracy: 0.8706\n", + "Epoch 1585/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2940 - categorical_accuracy: 0.8588\n", + "Epoch 1586/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 64ms/step - loss: 0.2809 - categorical_accuracy: 0.8706\n", + "Epoch 1587/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2821 - categorical_accuracy: 0.8706\n", + "Epoch 1588/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.2945 - categorical_accuracy: 0.8824\n", + "Epoch 1589/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3106 - categorical_accuracy: 0.8588\n", + "Epoch 1590/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3124 - categorical_accuracy: 0.8588\n", + "Epoch 1591/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3540 - categorical_accuracy: 0.8471\n", + "Epoch 1592/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3107 - categorical_accuracy: 0.8471\n", + "Epoch 1593/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2777 - categorical_accuracy: 0.8824\n", + "Epoch 1594/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2967 - categorical_accuracy: 0.8941\n", + "Epoch 1595/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3316 - categorical_accuracy: 0.8706\n", + "Epoch 1596/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4576 - categorical_accuracy: 0.7765\n", + "Epoch 1597/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4580 - categorical_accuracy: 0.8235\n", + "Epoch 1598/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4750 - categorical_accuracy: 0.7647\n", + "Epoch 1599/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4520 - categorical_accuracy: 0.8235\n", + "Epoch 1600/2000\n", + "3/3 [==============================] - 0s 71ms/step - loss: 0.4360 - categorical_accuracy: 0.7765\n", + "Epoch 1601/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.5113 - categorical_accuracy: 0.8471\n", + "Epoch 1602/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4444 - categorical_accuracy: 0.7882\n", + "Epoch 1603/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3499 - categorical_accuracy: 0.8824\n", + "Epoch 1604/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4423 - categorical_accuracy: 0.7412\n", + "Epoch 1605/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4203 - categorical_accuracy: 0.8471\n", + "Epoch 1606/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4248 - categorical_accuracy: 0.8118\n", + "Epoch 1607/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3515 - categorical_accuracy: 0.8706\n", + "Epoch 1608/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3740 - categorical_accuracy: 0.8471\n", + "Epoch 1609/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3518 - categorical_accuracy: 0.8235\n", + "Epoch 1610/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4132 - categorical_accuracy: 0.8471\n", + "Epoch 1611/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4457 - categorical_accuracy: 0.7412\n", + "Epoch 1612/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4110 - categorical_accuracy: 0.8235\n", + "Epoch 1613/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4300 - categorical_accuracy: 0.8118\n", + "Epoch 1614/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4714 - categorical_accuracy: 0.8235\n", + "Epoch 1615/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.4499 - categorical_accuracy: 0.7647\n", + "Epoch 1616/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4158 - categorical_accuracy: 0.8353\n", + "Epoch 1617/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3533 - categorical_accuracy: 0.8706\n", + "Epoch 1618/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4002 - categorical_accuracy: 0.7882\n", + "Epoch 1619/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3523 - categorical_accuracy: 0.8824\n", + "Epoch 1620/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3366 - categorical_accuracy: 0.8471\n", + "Epoch 1621/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3080 - categorical_accuracy: 0.8706\n", + "Epoch 1622/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3530 - categorical_accuracy: 0.8471\n", + "Epoch 1623/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3573 - categorical_accuracy: 0.8824\n", + "Epoch 1624/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3845 - categorical_accuracy: 0.8235\n", + "Epoch 1625/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3934 - categorical_accuracy: 0.8353\n", + "Epoch 1626/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3514 - categorical_accuracy: 0.8941\n", + "Epoch 1627/2000\n", + "3/3 [==============================] - 0s 61ms/step - loss: 0.4743 - categorical_accuracy: 0.7882\n", + "Epoch 1628/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3912 - categorical_accuracy: 0.8471\n", + "Epoch 1629/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3142 - categorical_accuracy: 0.9412\n", + "Epoch 1630/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3993 - categorical_accuracy: 0.8706\n", + "Epoch 1631/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3949 - categorical_accuracy: 0.8235\n", + "Epoch 1632/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.3622 - categorical_accuracy: 0.8706\n", + "Epoch 1633/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2731 - categorical_accuracy: 0.8941\n", + "Epoch 1634/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3379 - categorical_accuracy: 0.8588\n", + "Epoch 1635/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3594 - categorical_accuracy: 0.8824\n", + "Epoch 1636/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3533 - categorical_accuracy: 0.8588\n", + "Epoch 1637/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3787 - categorical_accuracy: 0.8941\n", + "Epoch 1638/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3347 - categorical_accuracy: 0.8588\n", + "Epoch 1639/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2744 - categorical_accuracy: 0.8941\n", + "Epoch 1640/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3265 - categorical_accuracy: 0.8706\n", + "Epoch 1641/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3585 - categorical_accuracy: 0.8353\n", + "Epoch 1642/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4527 - categorical_accuracy: 0.8471\n", + "Epoch 1643/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3230 - categorical_accuracy: 0.8706\n", + "Epoch 1644/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2754 - categorical_accuracy: 0.8706\n", + "Epoch 1645/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3100 - categorical_accuracy: 0.8706\n", + "Epoch 1646/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2779 - categorical_accuracy: 0.8824\n", + "Epoch 1647/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3021 - categorical_accuracy: 0.8706\n", + "Epoch 1648/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3561 - categorical_accuracy: 0.8353\n", + "Epoch 1649/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3907 - categorical_accuracy: 0.8824\n", + "Epoch 1650/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3127 - categorical_accuracy: 0.8941\n", + "Epoch 1651/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2579 - categorical_accuracy: 0.8824\n", + "Epoch 1652/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.3184 - categorical_accuracy: 0.8706\n", + "Epoch 1653/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3011 - categorical_accuracy: 0.8824\n", + "Epoch 1654/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3273 - categorical_accuracy: 0.8471\n", + "Epoch 1655/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2783 - categorical_accuracy: 0.8706\n", + "Epoch 1656/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2757 - categorical_accuracy: 0.9059\n", + "Epoch 1657/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3123 - categorical_accuracy: 0.8824\n", + "Epoch 1658/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 65ms/step - loss: 0.2848 - categorical_accuracy: 0.8941\n", + "Epoch 1659/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2632 - categorical_accuracy: 0.8824\n", + "Epoch 1660/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2862 - categorical_accuracy: 0.8824\n", + "Epoch 1661/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3236 - categorical_accuracy: 0.8471\n", + "Epoch 1662/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2707 - categorical_accuracy: 0.8706\n", + "Epoch 1663/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3423 - categorical_accuracy: 0.8706\n", + "Epoch 1664/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3885 - categorical_accuracy: 0.8824\n", + "Epoch 1665/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2875 - categorical_accuracy: 0.8941\n", + "Epoch 1666/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2852 - categorical_accuracy: 0.8941\n", + "Epoch 1667/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2899 - categorical_accuracy: 0.8706\n", + "Epoch 1668/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.2820 - categorical_accuracy: 0.8824\n", + "Epoch 1669/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2827 - categorical_accuracy: 0.8706\n", + "Epoch 1670/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2646 - categorical_accuracy: 0.8941\n", + "Epoch 1671/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2819 - categorical_accuracy: 0.8588\n", + "Epoch 1672/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2647 - categorical_accuracy: 0.8824\n", + "Epoch 1673/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2656 - categorical_accuracy: 0.8941\n", + "Epoch 1674/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2660 - categorical_accuracy: 0.8706\n", + "Epoch 1675/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2730 - categorical_accuracy: 0.8941\n", + "Epoch 1676/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2787 - categorical_accuracy: 0.8824\n", + "Epoch 1677/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2797 - categorical_accuracy: 0.9176\n", + "Epoch 1678/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2686 - categorical_accuracy: 0.8824\n", + "Epoch 1679/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2639 - categorical_accuracy: 0.9059\n", + "Epoch 1680/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2599 - categorical_accuracy: 0.8941\n", + "Epoch 1681/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2673 - categorical_accuracy: 0.8824\n", + "Epoch 1682/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2712 - categorical_accuracy: 0.8706\n", + "Epoch 1683/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2800 - categorical_accuracy: 0.8941\n", + "Epoch 1684/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.2816 - categorical_accuracy: 0.8941\n", + "Epoch 1685/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3159 - categorical_accuracy: 0.8824\n", + "Epoch 1686/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4451 - categorical_accuracy: 0.8000\n", + "Epoch 1687/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4552 - categorical_accuracy: 0.8353\n", + "Epoch 1688/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4453 - categorical_accuracy: 0.8000\n", + "Epoch 1689/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4014 - categorical_accuracy: 0.8588\n", + "Epoch 1690/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2781 - categorical_accuracy: 0.9059\n", + "Epoch 1691/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3169 - categorical_accuracy: 0.8824\n", + "Epoch 1692/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2878 - categorical_accuracy: 0.8824\n", + "Epoch 1693/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2912 - categorical_accuracy: 0.8824\n", + "Epoch 1694/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2717 - categorical_accuracy: 0.8706\n", + "Epoch 1695/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2723 - categorical_accuracy: 0.8824\n", + "Epoch 1696/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2853 - categorical_accuracy: 0.8941\n", + "Epoch 1697/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2638 - categorical_accuracy: 0.9294\n", + "Epoch 1698/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2572 - categorical_accuracy: 0.8941\n", + "Epoch 1699/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2755 - categorical_accuracy: 0.8824\n", + "Epoch 1700/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2740 - categorical_accuracy: 0.9059\n", + "Epoch 1701/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2723 - categorical_accuracy: 0.8706\n", + "Epoch 1702/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2792 - categorical_accuracy: 0.8706\n", + "Epoch 1703/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2700 - categorical_accuracy: 0.8706\n", + "Epoch 1704/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2664 - categorical_accuracy: 0.8941\n", + "Epoch 1705/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2591 - categorical_accuracy: 0.8824\n", + "Epoch 1706/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.2544 - categorical_accuracy: 0.8824\n", + "Epoch 1707/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.2528 - categorical_accuracy: 0.8941\n", + "Epoch 1708/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2588 - categorical_accuracy: 0.9176\n", + "Epoch 1709/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2776 - categorical_accuracy: 0.8824\n", + "Epoch 1710/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2967 - categorical_accuracy: 0.8706\n", + "Epoch 1711/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3312 - categorical_accuracy: 0.8353\n", + "Epoch 1712/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3694 - categorical_accuracy: 0.8706\n", + "Epoch 1713/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2619 - categorical_accuracy: 0.9059\n", + "Epoch 1714/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2601 - categorical_accuracy: 0.8706\n", + "Epoch 1715/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2526 - categorical_accuracy: 0.9059\n", + "Epoch 1716/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2971 - categorical_accuracy: 0.8706\n", + "Epoch 1717/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2676 - categorical_accuracy: 0.9176\n", + "Epoch 1718/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2547 - categorical_accuracy: 0.8706\n", + "Epoch 1719/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2619 - categorical_accuracy: 0.8941\n", + "Epoch 1720/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2486 - categorical_accuracy: 0.8941\n", + "Epoch 1721/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2511 - categorical_accuracy: 0.8824\n", + "Epoch 1722/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2456 - categorical_accuracy: 0.8941\n", + "Epoch 1723/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2734 - categorical_accuracy: 0.8824\n", + "Epoch 1724/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4973 - categorical_accuracy: 0.8000\n", + "Epoch 1725/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4805 - categorical_accuracy: 0.8588\n", + "Epoch 1726/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3668 - categorical_accuracy: 0.8118\n", + "Epoch 1727/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3502 - categorical_accuracy: 0.8706\n", + "Epoch 1728/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3560 - categorical_accuracy: 0.8353\n", + "Epoch 1729/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3433 - categorical_accuracy: 0.8824\n", + "Epoch 1730/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 64ms/step - loss: 0.3237 - categorical_accuracy: 0.8353\n", + "Epoch 1731/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2912 - categorical_accuracy: 0.8824\n", + "Epoch 1732/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2787 - categorical_accuracy: 0.8824\n", + "Epoch 1733/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2820 - categorical_accuracy: 0.8941\n", + "Epoch 1734/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4128 - categorical_accuracy: 0.8588\n", + "Epoch 1735/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2979 - categorical_accuracy: 0.8941\n", + "Epoch 1736/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2865 - categorical_accuracy: 0.8824\n", + "Epoch 1737/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3079 - categorical_accuracy: 0.8235\n", + "Epoch 1738/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3787 - categorical_accuracy: 0.8706\n", + "Epoch 1739/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4162 - categorical_accuracy: 0.7765\n", + "Epoch 1740/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4026 - categorical_accuracy: 0.8588\n", + "Epoch 1741/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3382 - categorical_accuracy: 0.8471\n", + "Epoch 1742/2000\n", + "3/3 [==============================] - 0s 62ms/step - loss: 0.3506 - categorical_accuracy: 0.8706\n", + "Epoch 1743/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3792 - categorical_accuracy: 0.8353\n", + "Epoch 1744/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3449 - categorical_accuracy: 0.8941\n", + "Epoch 1745/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3692 - categorical_accuracy: 0.8471\n", + "Epoch 1746/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2850 - categorical_accuracy: 0.8941\n", + "Epoch 1747/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2652 - categorical_accuracy: 0.9176\n", + "Epoch 1748/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2978 - categorical_accuracy: 0.8706\n", + "Epoch 1749/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3720 - categorical_accuracy: 0.8824\n", + "Epoch 1750/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3229 - categorical_accuracy: 0.8471\n", + "Epoch 1751/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3149 - categorical_accuracy: 0.8941\n", + "Epoch 1752/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.3261 - categorical_accuracy: 0.8353\n", + "Epoch 1753/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2797 - categorical_accuracy: 0.9059\n", + "Epoch 1754/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3097 - categorical_accuracy: 0.8941\n", + "Epoch 1755/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3121 - categorical_accuracy: 0.8941\n", + "Epoch 1756/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3386 - categorical_accuracy: 0.8471\n", + "Epoch 1757/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2937 - categorical_accuracy: 0.8941\n", + "Epoch 1758/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3140 - categorical_accuracy: 0.8353\n", + "Epoch 1759/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3248 - categorical_accuracy: 0.8706\n", + "Epoch 1760/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2877 - categorical_accuracy: 0.8588\n", + "Epoch 1761/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2586 - categorical_accuracy: 0.9059\n", + "Epoch 1762/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2685 - categorical_accuracy: 0.8941\n", + "Epoch 1763/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2924 - categorical_accuracy: 0.8588\n", + "Epoch 1764/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3237 - categorical_accuracy: 0.8941\n", + "Epoch 1765/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2623 - categorical_accuracy: 0.9176\n", + "Epoch 1766/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2682 - categorical_accuracy: 0.9059\n", + "Epoch 1767/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3539 - categorical_accuracy: 0.8000\n", + "Epoch 1768/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.5095 - categorical_accuracy: 0.8353\n", + "Epoch 1769/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4374 - categorical_accuracy: 0.7882\n", + "Epoch 1770/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.4276 - categorical_accuracy: 0.8471\n", + "Epoch 1771/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3271 - categorical_accuracy: 0.8353\n", + "Epoch 1772/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3498 - categorical_accuracy: 0.8353\n", + "Epoch 1773/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3687 - categorical_accuracy: 0.8588\n", + "Epoch 1774/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3553 - categorical_accuracy: 0.8353\n", + "Epoch 1775/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4497 - categorical_accuracy: 0.8235\n", + "Epoch 1776/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3002 - categorical_accuracy: 0.8941\n", + "Epoch 1777/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3098 - categorical_accuracy: 0.8941\n", + "Epoch 1778/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2826 - categorical_accuracy: 0.9059\n", + "Epoch 1779/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2795 - categorical_accuracy: 0.9059\n", + "Epoch 1780/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2827 - categorical_accuracy: 0.8824\n", + "Epoch 1781/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2950 - categorical_accuracy: 0.8941\n", + "Epoch 1782/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2677 - categorical_accuracy: 0.8824\n", + "Epoch 1783/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2693 - categorical_accuracy: 0.8941\n", + "Epoch 1784/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2694 - categorical_accuracy: 0.8706\n", + "Epoch 1785/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.2633 - categorical_accuracy: 0.9059\n", + "Epoch 1786/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3335 - categorical_accuracy: 0.8941\n", + "Epoch 1787/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3533 - categorical_accuracy: 0.8235\n", + "Epoch 1788/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4439 - categorical_accuracy: 0.8353\n", + "Epoch 1789/2000\n", + "3/3 [==============================] - 0s 63ms/step - loss: 0.3731 - categorical_accuracy: 0.8353\n", + "Epoch 1790/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3581 - categorical_accuracy: 0.8706\n", + "Epoch 1791/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3662 - categorical_accuracy: 0.8471\n", + "Epoch 1792/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3081 - categorical_accuracy: 0.8824\n", + "Epoch 1793/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.4120 - categorical_accuracy: 0.8471\n", + "Epoch 1794/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2976 - categorical_accuracy: 0.8824\n", + "Epoch 1795/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2579 - categorical_accuracy: 0.8941\n", + "Epoch 1796/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.2653 - categorical_accuracy: 0.8824\n", + "Epoch 1797/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2903 - categorical_accuracy: 0.8706\n", + "Epoch 1798/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2575 - categorical_accuracy: 0.8941\n", + "Epoch 1799/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3726 - categorical_accuracy: 0.7882\n", + "Epoch 1800/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3017 - categorical_accuracy: 0.8941\n", + "Epoch 1801/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2423 - categorical_accuracy: 0.9294\n", + "Epoch 1802/2000\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 65ms/step - loss: 0.2537 - categorical_accuracy: 0.8824\n", + "Epoch 1803/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2564 - categorical_accuracy: 0.9059\n", + "Epoch 1804/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2279 - categorical_accuracy: 0.9059\n", + "Epoch 1805/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2375 - categorical_accuracy: 0.9059\n", + "Epoch 1806/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2990 - categorical_accuracy: 0.8588\n", + "Epoch 1807/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3815 - categorical_accuracy: 0.8471\n", + "Epoch 1808/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3053 - categorical_accuracy: 0.8706\n", + "Epoch 1809/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2514 - categorical_accuracy: 0.9059\n", + "Epoch 1810/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2653 - categorical_accuracy: 0.9059\n", + "Epoch 1811/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.2706 - categorical_accuracy: 0.8941\n", + "Epoch 1812/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2856 - categorical_accuracy: 0.8941\n", + "Epoch 1813/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3543 - categorical_accuracy: 0.8118\n", + "Epoch 1814/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3042 - categorical_accuracy: 0.8941\n", + "Epoch 1815/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2999 - categorical_accuracy: 0.8471\n", + "Epoch 1816/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3746 - categorical_accuracy: 0.8588\n", + "Epoch 1817/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4116 - categorical_accuracy: 0.8235\n", + "Epoch 1818/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4021 - categorical_accuracy: 0.8588\n", + "Epoch 1819/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3363 - categorical_accuracy: 0.8471\n", + "Epoch 1820/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2937 - categorical_accuracy: 0.8706\n", + "Epoch 1821/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.3348 - categorical_accuracy: 0.8471\n", + "Epoch 1822/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2531 - categorical_accuracy: 0.9059\n", + "Epoch 1823/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2554 - categorical_accuracy: 0.8941\n", + "Epoch 1824/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2843 - categorical_accuracy: 0.8824\n", + "Epoch 1825/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3019 - categorical_accuracy: 0.8824\n", + "Epoch 1826/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2968 - categorical_accuracy: 0.8941\n", + "Epoch 1827/2000\n", + "3/3 [==============================] - 0s 75ms/step - loss: 0.3012 - categorical_accuracy: 0.8706\n", + "Epoch 1828/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.2995 - categorical_accuracy: 0.8706\n", + "Epoch 1829/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2425 - categorical_accuracy: 0.9176\n", + "Epoch 1830/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.2549 - categorical_accuracy: 0.8824\n", + "Epoch 1831/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2770 - categorical_accuracy: 0.8471\n", + "Epoch 1832/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.2711 - categorical_accuracy: 0.8941\n", + "Epoch 1833/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2623 - categorical_accuracy: 0.8824\n", + "Epoch 1834/2000\n", + "3/3 [==============================] - 0s 75ms/step - loss: 0.2902 - categorical_accuracy: 0.8824\n", + "Epoch 1835/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.3603 - categorical_accuracy: 0.8000\n", + "Epoch 1836/2000\n", + "3/3 [==============================] - 0s 76ms/step - loss: 0.2546 - categorical_accuracy: 0.8941\n", + "Epoch 1837/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2514 - categorical_accuracy: 0.8941\n", + "Epoch 1838/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3393 - categorical_accuracy: 0.8824\n", + "Epoch 1839/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2678 - categorical_accuracy: 0.8588\n", + "Epoch 1840/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2823 - categorical_accuracy: 0.8824\n", + "Epoch 1841/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2326 - categorical_accuracy: 0.9176\n", + "Epoch 1842/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2471 - categorical_accuracy: 0.9176\n", + "Epoch 1843/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3877 - categorical_accuracy: 0.8471\n", + "Epoch 1844/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3970 - categorical_accuracy: 0.8824\n", + "Epoch 1845/2000\n", + "3/3 [==============================] - 0s 75ms/step - loss: 0.2885 - categorical_accuracy: 0.8941\n", + "Epoch 1846/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2421 - categorical_accuracy: 0.8941\n", + "Epoch 1847/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2462 - categorical_accuracy: 0.9176\n", + "Epoch 1848/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.2259 - categorical_accuracy: 0.9059\n", + "Epoch 1849/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.2416 - categorical_accuracy: 0.9059\n", + "Epoch 1850/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.2606 - categorical_accuracy: 0.8941\n", + "Epoch 1851/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.2180 - categorical_accuracy: 0.9059\n", + "Epoch 1852/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2426 - categorical_accuracy: 0.8824\n", + "Epoch 1853/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2432 - categorical_accuracy: 0.8824\n", + "Epoch 1854/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2552 - categorical_accuracy: 0.8588\n", + "Epoch 1855/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2845 - categorical_accuracy: 0.8941\n", + "Epoch 1856/2000\n", + "3/3 [==============================] - 0s 75ms/step - loss: 0.3315 - categorical_accuracy: 0.8353\n", + "Epoch 1857/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2274 - categorical_accuracy: 0.9059\n", + "Epoch 1858/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2299 - categorical_accuracy: 0.9294\n", + "Epoch 1859/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2269 - categorical_accuracy: 0.8824\n", + "Epoch 1860/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2529 - categorical_accuracy: 0.9059\n", + "Epoch 1861/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2842 - categorical_accuracy: 0.9059\n", + "Epoch 1862/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2218 - categorical_accuracy: 0.9412\n", + "Epoch 1863/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2363 - categorical_accuracy: 0.8941\n", + "Epoch 1864/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2254 - categorical_accuracy: 0.9176\n", + "Epoch 1865/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.2457 - categorical_accuracy: 0.8824\n", + "Epoch 1866/2000\n", + "3/3 [==============================] - 0s 75ms/step - loss: 0.2289 - categorical_accuracy: 0.8824\n", + "Epoch 1867/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.2659 - categorical_accuracy: 0.9059\n", + "Epoch 1868/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3679 - categorical_accuracy: 0.8353\n", + "Epoch 1869/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4605 - categorical_accuracy: 0.8353\n", + "Epoch 1870/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3492 - categorical_accuracy: 0.8353\n", + "Epoch 1871/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3915 - categorical_accuracy: 0.8588\n", + "Epoch 1872/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3143 - categorical_accuracy: 0.8824\n", + "Epoch 1873/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2508 - categorical_accuracy: 0.9059\n", + "Epoch 1874/2000\n" + ] + }, { - "data": { - "text/plain": [ - "(180,)" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "np.array(labels).shape" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "X = np.array(sequences)" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 66ms/step - loss: 0.3327 - categorical_accuracy: 0.8824\n", + "Epoch 1875/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2584 - categorical_accuracy: 0.8941\n", + "Epoch 1876/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2648 - categorical_accuracy: 0.8941\n", + "Epoch 1877/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2472 - categorical_accuracy: 0.9176\n", + "Epoch 1878/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.2452 - categorical_accuracy: 0.9294\n", + "Epoch 1879/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2073 - categorical_accuracy: 0.9176\n", + "Epoch 1880/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2480 - categorical_accuracy: 0.8824\n", + "Epoch 1881/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2419 - categorical_accuracy: 0.8941\n", + "Epoch 1882/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2426 - categorical_accuracy: 0.9176\n", + "Epoch 1883/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2111 - categorical_accuracy: 0.9176\n", + "Epoch 1884/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2066 - categorical_accuracy: 0.9412\n", + "Epoch 1885/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.2385 - categorical_accuracy: 0.9059\n", + "Epoch 1886/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.2567 - categorical_accuracy: 0.8706\n", + "Epoch 1887/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.2140 - categorical_accuracy: 0.9412\n", + "Epoch 1888/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2894 - categorical_accuracy: 0.9059\n", + "Epoch 1889/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2782 - categorical_accuracy: 0.8588\n", + "Epoch 1890/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.2151 - categorical_accuracy: 0.9059\n", + "Epoch 1891/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.1971 - categorical_accuracy: 0.9412\n", + "Epoch 1892/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2182 - categorical_accuracy: 0.9412\n", + "Epoch 1893/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2776 - categorical_accuracy: 0.8588\n", + "Epoch 1894/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2224 - categorical_accuracy: 0.9176\n", + "Epoch 1895/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2169 - categorical_accuracy: 0.9176\n", + "Epoch 1896/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.2890 - categorical_accuracy: 0.8941\n", + "Epoch 1897/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2516 - categorical_accuracy: 0.8941\n", + "Epoch 1898/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2651 - categorical_accuracy: 0.8824\n", + "Epoch 1899/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2781 - categorical_accuracy: 0.8706\n", + "Epoch 1900/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3401 - categorical_accuracy: 0.8706\n", + "Epoch 1901/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2431 - categorical_accuracy: 0.9059\n", + "Epoch 1902/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2282 - categorical_accuracy: 0.9059\n", + "Epoch 1903/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2820 - categorical_accuracy: 0.8941\n", + "Epoch 1904/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3048 - categorical_accuracy: 0.8706\n", + "Epoch 1905/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3809 - categorical_accuracy: 0.8353\n", + "Epoch 1906/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.4692 - categorical_accuracy: 0.8235\n", + "Epoch 1907/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3306 - categorical_accuracy: 0.8588\n", + "Epoch 1908/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2659 - categorical_accuracy: 0.8824\n", + "Epoch 1909/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2756 - categorical_accuracy: 0.8824\n", + "Epoch 1910/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2258 - categorical_accuracy: 0.9294\n", + "Epoch 1911/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2783 - categorical_accuracy: 0.8588\n", + "Epoch 1912/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2104 - categorical_accuracy: 0.9412\n", + "Epoch 1913/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2945 - categorical_accuracy: 0.9059\n", + "Epoch 1914/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2407 - categorical_accuracy: 0.9059\n", + "Epoch 1915/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3390 - categorical_accuracy: 0.8235\n", + "Epoch 1916/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2879 - categorical_accuracy: 0.8824\n", + "Epoch 1917/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2332 - categorical_accuracy: 0.9059\n", + "Epoch 1918/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2301 - categorical_accuracy: 0.9294\n", + "Epoch 1919/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.2535 - categorical_accuracy: 0.8941\n", + "Epoch 1920/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2146 - categorical_accuracy: 0.9176\n", + "Epoch 1921/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2340 - categorical_accuracy: 0.8706\n", + "Epoch 1922/2000\n", + "3/3 [==============================] - 0s 73ms/step - loss: 0.2307 - categorical_accuracy: 0.8941\n", + "Epoch 1923/2000\n", + "3/3 [==============================] - 0s 74ms/step - loss: 0.2235 - categorical_accuracy: 0.9294\n", + "Epoch 1924/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2334 - categorical_accuracy: 0.9176\n", + "Epoch 1925/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2588 - categorical_accuracy: 0.8706\n", + "Epoch 1926/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2379 - categorical_accuracy: 0.9176\n", + "Epoch 1927/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2388 - categorical_accuracy: 0.8824\n", + "Epoch 1928/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2943 - categorical_accuracy: 0.8941\n", + "Epoch 1929/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3643 - categorical_accuracy: 0.8353\n", + "Epoch 1930/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.3765 - categorical_accuracy: 0.8941\n", + "Epoch 1931/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2912 - categorical_accuracy: 0.8471\n", + "Epoch 1932/2000\n", + "3/3 [==============================] - 0s 70ms/step - loss: 0.3170 - categorical_accuracy: 0.8941\n", + "Epoch 1933/2000\n", + "3/3 [==============================] - 0s 71ms/step - loss: 0.2172 - categorical_accuracy: 0.9176\n", + "Epoch 1934/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.1926 - categorical_accuracy: 0.9529\n", + "Epoch 1935/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2803 - categorical_accuracy: 0.8941\n", + "Epoch 1936/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2233 - categorical_accuracy: 0.9294\n", + "Epoch 1937/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2599 - categorical_accuracy: 0.8824\n", + "Epoch 1938/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2455 - categorical_accuracy: 0.8706\n", + "Epoch 1939/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2131 - categorical_accuracy: 0.9059\n", + "Epoch 1940/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.1919 - categorical_accuracy: 0.9294\n", + "Epoch 1941/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2133 - categorical_accuracy: 0.9294\n", + "Epoch 1942/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3041 - categorical_accuracy: 0.8824\n", + "Epoch 1943/2000\n", + "3/3 [==============================] - 0s 67ms/step - loss: 0.2466 - categorical_accuracy: 0.8706\n", + "Epoch 1944/2000\n", + "3/3 [==============================] - 0s 71ms/step - loss: 0.2219 - categorical_accuracy: 0.9059\n", + "Epoch 1945/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2777 - categorical_accuracy: 0.8706\n", + "Epoch 1946/2000\n" + ] + }, { - "data": { - "text/plain": [ - "(180, 30, 1662)" - ] - }, - "execution_count": 15, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "X.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": {}, - "outputs": [], - "source": [ - "y = to_categorical(labels).astype(int)" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": {}, - "outputs": [], - "source": [ - "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.05)" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": {}, - "outputs": [ + "name": "stdout", + "output_type": "stream", + "text": [ + "3/3 [==============================] - 0s 64ms/step - loss: 0.2134 - categorical_accuracy: 0.9412\n", + "Epoch 1947/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.3046 - categorical_accuracy: 0.8706\n", + "Epoch 1948/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2435 - categorical_accuracy: 0.9059\n", + "Epoch 1949/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2063 - categorical_accuracy: 0.9412\n", + "Epoch 1950/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2528 - categorical_accuracy: 0.9294\n", + "Epoch 1951/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2097 - categorical_accuracy: 0.9294\n", + "Epoch 1952/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.1942 - categorical_accuracy: 0.9294\n", + "Epoch 1953/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.1879 - categorical_accuracy: 0.9294\n", + "Epoch 1954/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.1941 - categorical_accuracy: 0.9294\n", + "Epoch 1955/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2376 - categorical_accuracy: 0.9294\n", + "Epoch 1956/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2728 - categorical_accuracy: 0.8941\n", + "Epoch 1957/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2242 - categorical_accuracy: 0.9059\n", + "Epoch 1958/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2063 - categorical_accuracy: 0.9412\n", + "Epoch 1959/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2285 - categorical_accuracy: 0.9059\n", + "Epoch 1960/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3246 - categorical_accuracy: 0.8824\n", + "Epoch 1961/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.2989 - categorical_accuracy: 0.8588\n", + "Epoch 1962/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2710 - categorical_accuracy: 0.9176\n", + "Epoch 1963/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2153 - categorical_accuracy: 0.9294\n", + "Epoch 1964/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2257 - categorical_accuracy: 0.9176\n", + "Epoch 1965/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.1934 - categorical_accuracy: 0.9529\n", + "Epoch 1966/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.1927 - categorical_accuracy: 0.9412\n", + "Epoch 1967/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.1821 - categorical_accuracy: 0.9647\n", + "Epoch 1968/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2381 - categorical_accuracy: 0.9294\n", + "Epoch 1969/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2352 - categorical_accuracy: 0.9059\n", + "Epoch 1970/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2296 - categorical_accuracy: 0.9059\n", + "Epoch 1971/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2097 - categorical_accuracy: 0.9176\n", + "Epoch 1972/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2325 - categorical_accuracy: 0.9059\n", + "Epoch 1973/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3907 - categorical_accuracy: 0.8235\n", + "Epoch 1974/2000\n", + "3/3 [==============================] - 0s 71ms/step - loss: 0.5332 - categorical_accuracy: 0.8118\n", + "Epoch 1975/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.6647 - categorical_accuracy: 0.8118\n", + "Epoch 1976/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.4874 - categorical_accuracy: 0.8000\n", + "Epoch 1977/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.6369 - categorical_accuracy: 0.7412\n", + "Epoch 1978/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.8348 - categorical_accuracy: 0.7294\n", + "Epoch 1979/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.6178 - categorical_accuracy: 0.7412\n", + "Epoch 1980/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3577 - categorical_accuracy: 0.8000\n", + "Epoch 1981/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.4164 - categorical_accuracy: 0.8235\n", + "Epoch 1982/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3818 - categorical_accuracy: 0.8588\n", + "Epoch 1983/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3647 - categorical_accuracy: 0.8235\n", + "Epoch 1984/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3106 - categorical_accuracy: 0.9059\n", + "Epoch 1985/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2858 - categorical_accuracy: 0.8941\n", + "Epoch 1986/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.2547 - categorical_accuracy: 0.9294\n", + "Epoch 1987/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3105 - categorical_accuracy: 0.8588\n", + "Epoch 1988/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.3103 - categorical_accuracy: 0.8941\n", + "Epoch 1989/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3141 - categorical_accuracy: 0.8353\n", + "Epoch 1990/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2601 - categorical_accuracy: 0.8941\n", + "Epoch 1991/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2704 - categorical_accuracy: 0.8824\n", + "Epoch 1992/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.2532 - categorical_accuracy: 0.8941\n", + "Epoch 1993/2000\n", + "3/3 [==============================] - 0s 68ms/step - loss: 0.2405 - categorical_accuracy: 0.8941\n", + "Epoch 1994/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.2184 - categorical_accuracy: 0.9176\n", + "Epoch 1995/2000\n", + "3/3 [==============================] - 0s 66ms/step - loss: 0.1986 - categorical_accuracy: 0.9059\n", + "Epoch 1996/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.2705 - categorical_accuracy: 0.9059\n", + "Epoch 1997/2000\n", + "3/3 [==============================] - 0s 72ms/step - loss: 0.2526 - categorical_accuracy: 0.8941\n", + "Epoch 1998/2000\n", + "3/3 [==============================] - 0s 65ms/step - loss: 0.3230 - categorical_accuracy: 0.8824\n", + "Epoch 1999/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3652 - categorical_accuracy: 0.8235\n", + "Epoch 2000/2000\n", + "3/3 [==============================] - 0s 64ms/step - loss: 0.3646 - categorical_accuracy: 0.8471\n" + ] + }, { "data": { "text/plain": [ - "(9, 3)" + "" ] }, - "execution_count": 19, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "y_test.shape" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 7. Build and Train LSTM Neural Network" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "from tensorflow.keras.models import Sequential\n", - "from tensorflow.keras.layers import LSTM, Dense\n", - "from tensorflow.keras.callbacks import TensorBoard" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "log_dir = os.path.join('Logs')\n", - "tb_callback = TensorBoard(log_dir=log_dir)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "model = Sequential()\n", - "model.add(LSTM(64, return_sequences=True, activation='relu', input_shape=(30,1662)))\n", - "model.add(LSTM(128, return_sequences=True, activation='relu'))\n", - "model.add(LSTM(64, return_sequences=False, activation='relu'))\n", - "model.add(Dense(64, activation='relu'))\n", - "model.add(Dense(32, activation='relu'))\n", - "model.add(Dense(actions.shape[0], activation='softmax'))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": {}, - "outputs": [], - "source": [ - "model.compile(optimizer='Adam', loss='categorical_crossentropy', metrics=['categorical_accuracy'])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], "source": [ "model.fit(X_train, y_train, epochs=2000, callbacks=[tb_callback])" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -1360,19 +4734,20 @@ "text": [ "Model: \"sequential\"\n", "_________________________________________________________________\n", - "Layer (type) Output Shape Param # \n", + " Layer (type) Output Shape Param # \n", "=================================================================\n", - "lstm (LSTM) (None, 30, 64) 442112 \n", - "_________________________________________________________________\n", - "lstm_1 (LSTM) (None, 30, 128) 98816 \n", - "_________________________________________________________________\n", - "lstm_2 (LSTM) (None, 64) 49408 \n", - "_________________________________________________________________\n", - "dense (Dense) (None, 64) 4160 \n", - "_________________________________________________________________\n", - "dense_1 (Dense) (None, 32) 2080 \n", - "_________________________________________________________________\n", - "dense_2 (Dense) (None, 3) 99 \n", + " lstm (LSTM) (None, 30, 64) 442112 \n", + " \n", + " lstm_1 (LSTM) (None, 30, 128) 98816 \n", + " \n", + " lstm_2 (LSTM) (None, 64) 49408 \n", + " \n", + " dense (Dense) (None, 64) 4160 \n", + " \n", + " dense_1 (Dense) (None, 32) 2080 \n", + " \n", + " dense_2 (Dense) (None, 3) 99 \n", + " \n", "=================================================================\n", "Total params: 596,675\n", "Trainable params: 596,675\n", @@ -1394,25 +4769,33 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1/1 [==============================] - 0s 345ms/step\n" + ] + } + ], "source": [ "res = model.predict(X_test)" ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'hello'" + "'pose1'" ] }, - "execution_count": 29, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -1423,16 +4806,16 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "'hello'" + "'pose1'" ] }, - "execution_count": 30, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -1450,7 +4833,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 33, "metadata": {}, "outputs": [], "source": [ @@ -1459,7 +4842,7 @@ }, { "cell_type": "code", - "execution_count": 217, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -1468,7 +4851,33 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "# Once training is done, u do not have to train it again (no need to call the fit() finction). Just need to setup the model\n", + "# and compile it. then load the saved weights.\n", + "model = Sequential()\n", + "model.add(LSTM(64, return_sequences=True, activation='relu', input_shape=(30,1662)))\n", + "model.add(LSTM(128, return_sequences=True, activation='relu'))\n", + "model.add(LSTM(64, return_sequences=False, activation='relu'))\n", + "model.add(Dense(64, activation='relu'))\n", + "model.add(Dense(32, activation='relu'))\n", + "model.add(Dense(actions.shape[0], activation='softmax'))" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "model.compile(optimizer='Adam', loss='categorical_crossentropy', metrics=['categorical_accuracy'])" + ] + }, + { + "cell_type": "code", + "execution_count": 38, "metadata": {}, "outputs": [], "source": [ @@ -1484,7 +4893,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 39, "metadata": {}, "outputs": [], "source": [ @@ -1493,16 +4902,24 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 40, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1/1 [==============================] - 0s 327ms/step\n" + ] + } + ], "source": [ "yhat = model.predict(X_test)" ] }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 41, "metadata": {}, "outputs": [], "source": [ @@ -1512,23 +4929,23 @@ }, { "cell_type": "code", - "execution_count": 43, + "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([[[5, 0],\n", - " [0, 4]],\n", + "array([[[3, 0],\n", + " [0, 2]],\n", "\n", - " [[5, 0],\n", - " [0, 4]],\n", + " [[4, 0],\n", + " [1, 0]],\n", "\n", - " [[8, 0],\n", - " [0, 1]]], dtype=int64)" + " [[2, 1],\n", + " [0, 2]]], dtype=int64)" ] }, - "execution_count": 43, + "execution_count": 42, "metadata": {}, "output_type": "execute_result" } @@ -1539,16 +4956,16 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "1.0" + "0.8" ] }, - "execution_count": 44, + "execution_count": 43, "metadata": {}, "output_type": "execute_result" } @@ -1566,7 +4983,7 @@ }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 44, "metadata": {}, "outputs": [], "source": [ @@ -1575,60 +4992,1341 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 45, "metadata": {}, "outputs": [], "source": [ - "colors = [(245,117,16), (117,245,16), (16,117,245)]\n", - "def prob_viz(res, actions, input_frame, colors):\n", - " output_frame = input_frame.copy()\n", - " for num, prob in enumerate(res):\n", - " cv2.rectangle(output_frame, (0,60+num*40), (int(prob*100), 90+num*40), colors[num], -1)\n", - " cv2.putText(output_frame, actions[num], (0, 85+num*40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 2, cv2.LINE_AA)\n", - " \n", - " return output_frame" + "colors = [(245,117,16), (117,245,16), (16,117,245)]\n", + "def prob_viz(res, actions, input_frame, colors):\n", + " output_frame = input_frame.copy()\n", + " for num, prob in enumerate(res):\n", + " cv2.rectangle(output_frame, (0,60+num*40), (int(prob*100), 90+num*40), colors[num], -1)\n", + " cv2.putText(output_frame, actions[num], (0, 85+num*40), cv2.FONT_HERSHEY_SIMPLEX, 1, (255,255,255), 2, cv2.LINE_AA)\n", + " \n", + " return output_frame" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "only size-1 arrays can be converted to Python scalars", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[46], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure(figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m18\u001b[39m,\u001b[38;5;241m18\u001b[39m))\n\u001b[1;32m----> 2\u001b[0m plt\u001b[38;5;241m.\u001b[39mimshow(prob_viz(res, actions, image, colors))\n", + "Cell \u001b[1;32mIn[45], line 5\u001b[0m, in \u001b[0;36mprob_viz\u001b[1;34m(res, actions, input_frame, colors)\u001b[0m\n\u001b[0;32m 3\u001b[0m output_frame \u001b[38;5;241m=\u001b[39m input_frame\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m num, prob \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(res):\n\u001b[1;32m----> 5\u001b[0m cv2\u001b[38;5;241m.\u001b[39mrectangle(output_frame, (\u001b[38;5;241m0\u001b[39m,\u001b[38;5;241m60\u001b[39m\u001b[38;5;241m+\u001b[39mnum\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m40\u001b[39m), (\u001b[38;5;28mint\u001b[39m(prob\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m100\u001b[39m), \u001b[38;5;241m90\u001b[39m\u001b[38;5;241m+\u001b[39mnum\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m40\u001b[39m), colors[num], \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m 6\u001b[0m cv2\u001b[38;5;241m.\u001b[39mputText(output_frame, actions[num], (\u001b[38;5;241m0\u001b[39m, \u001b[38;5;241m85\u001b[39m\u001b[38;5;241m+\u001b[39mnum\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m40\u001b[39m), cv2\u001b[38;5;241m.\u001b[39mFONT_HERSHEY_SIMPLEX, \u001b[38;5;241m1\u001b[39m, (\u001b[38;5;241m255\u001b[39m,\u001b[38;5;241m255\u001b[39m,\u001b[38;5;241m255\u001b[39m), \u001b[38;5;241m2\u001b[39m, cv2\u001b[38;5;241m.\u001b[39mLINE_AA)\n\u001b[0;32m 8\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m output_frame\n", + "\u001b[1;31mTypeError\u001b[0m: only size-1 arrays can be converted to Python scalars" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(18,18))\n", + "plt.imshow(prob_viz(res, actions, image, colors))" ] }, { "cell_type": "code", - "execution_count": 262, - "metadata": { - "collapsed": true - }, + "execution_count": 47, + "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 262, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 17ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 13ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 17ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 17ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 13ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 17ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 17ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n" + ] }, { - "data": { - "image/png": "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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" + "name": "stdout", + "output_type": "stream", + "text": [ + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose3\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 18ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 15ms/step\n", + "pose2\n", + "\n", + "1/1 [==============================] - 0s 14ms/step\n", + "pose1\n", + "\n", + "1/1 [==============================] - 0s 16ms/step\n", + "pose1\n" + ] } ], - "source": [ - "plt.figure(figsize=(18,18))\n", - "plt.imshow(prob_viz(res, actions, image, colors))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], "source": [ "# 1. New detection variables\n", "sequence = []\n", @@ -1691,6 +6389,13 @@ " cap.release()\n", " cv2.destroyAllWindows()" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/MP_Data/pose1/0/0.npy b/MP_Data/pose1/0/0.npy new file mode 100644 index 0000000000000000000000000000000000000000..48816e6207dfe2b54659ac9afea7e96363d02fb6 GIT binary patch literal 13424 zcmeHt=UbLX^Y)4@_Kq!@wM6W_#m3sBqN2vGVO6jfLB?nipB(CWe(A|u;Qy2cJuJ2C zb+@hxdDf36lKp>Oq$L6{lLrjp2E6Lyn=NbM(b+rFh02h~gU@q!q+3nUvFG=>CKYYnOr>Bg0 z=|-_@0iNdvbDwf^v+?j>7$+Y|cOwsLelgL>GZjCXEi4X!*&gj}IRn1?2%xlynbJg;I3 z!oRFZUGm$tA4q@dG(4};9zS-^+dVapx##48BV_;c9e7^N9o;3;2n~_z$-1Dqm zSJLkniFH|MDArk6&?omi+q9JIuk;k_;=|BGuxrZLVr~?BYC@k%&y+=E%vJlsKL9UO zDTf=?FZmE>YDwMuz*U3z#0;DlZv$NHC`x1Y!5a9I+%!Kh6eI6?W?_f9I9s^vCniS)BRNfE3&EN6B?VV`g(tINP*lyt5 zFYG(m6G*r?atpXPUuKrW#m(1{SDmvx@XeUZgA)4^S8o7kd%gzFx{jIzy?@rhzE~YW z{>VCQmBVGDKOrxVGy~2{=0kpnLVuzz3KoJN)1z?=0aLeuw?KaC6LM|2~ADYJ~lY+eKjy4_yPC%^MH@^Y%T#Z&qi; zIf@43>D=301}-yu1J~&vNN=87cwU8-pnGBCmlU_@lY#3i{v=sU8| zEwL}N{So-t`OD;I|6t|zYaX|Q9G~zA&+*G^AkWW!4}a;c-(sBw1}gZi7AO9e1L?U( z6Q;s%mv?}lPrHbHn<}kg4-2_O^UhUq?&{XGg-)IiJ`Y@XoCaJDeKF7Bc3L!WF`)x+ zJ0}qG?42KQR%kSE-eLm$V9GBc`5$A6e|QA+iZX+NTRk7R_T7efHhB({|7YI^&W>)y zepTCIDQ-)}-a zVcA-dzFPwJh^oY6jzoY*jUNtNzL^DnvHlX~=6*k}KUN&R}cxBILShuN7 z;7?w+1aQ&i8|+&Iy+{18yCLMy7c1dUTP+gxioYI&_~EJ}aFOo2(&^zv;>hlTwcu~{ zAq{>L+4ln13GIQ)bAQu*KQQ2&X*#cqjc{J`F}B+uV<%FOU!^Dnp6Dn-gJ+c zqoH#h&ccom&&=!4Yr5yB`tbHRa68~f;Jlvy9PnhN`&*1!NOq)8V#33k zQeK zZcyAjTTXoOx3zD^woF|P|LP(BG!;6vEHhn4iBYSb^HGg~#e!2D# zB}_>Bj4qN`XHypk)6${?_jNRV842IcJLcTeWOYpj{3t} zQQWZ1-)7Ze2iqA*_Fq`u8T+XI z3wXty8ojzc8>tAzdu6xc(Og={XKEi>^b6D?Y|FwyzKK^6est)A0 zhSz|bEW1!w#ix1XpP+KU)y3kd+ve$Sz-_+$B)_Bw>bw|C?~m&2CD_UTtU&KswhZm7 z{}P-d^QzF?*=ZWyAv?cF0dC8+l+JI$w+-n3y`*sTomJmLN#$D=FJ zd5K+_z$cEEp9uMF`@o|X9EZQf$jay&W#2=<^_mWd6Zz@up-!HM%!Zt776{yWxAJ%V z>di{{SwscUervHfha2yB@R(JeKICc~&P7(64O~?J0eP+OSAw5a%_x#zdJ;HO9Z_#> z?r`8L?KyB0IURLgHln)8?$yP9#nB_N&Q2CU_mq82eU6OWjl5%CRlpl zc1hqYCw(7KUOiC<#J7|ec5-L3v&un=hl+D?ek>^h`(>~0;T+BWjo=Z#79~HO-Uc4k zZ7kV;pU$1to=0`*dwS0j>#tGVu2>lA>^Fs*Lf)R9NqUpN#lCcCJ&Kzwt$?c%`$sr= z9l4wIR=A6G6ICY$Jg4b>M-_;qc-XX)?u$}2$nF`R=-jKlN`T)+KP8^k8BX`QI!fQAbd6Mss}BieUv_`UtMmcXSI>Gu zao?%|?Ys6&>WeNAL^q+cvYnqaQSbJuFXSI^VK&pw~2;51dE)guxHjuabPz^*CRVsVUA;cU*<~ zWjbAlJ@!)f_D)_!P(JIclt--erfJ|gl7f8XO$va=HcyW6&5&o3^eUMLxGK>J@ywzq z?{tJW>=(a6zfX`ItALi!|zsar_ zfZGx4C&F(FujBrb+~-7 z9k{GU{fo-mcLDgjdisgb8>IKnpe5kB^e^Ov7*BZRkE_8myB}~ih~kk)m7VEu{_;HG z`~0w9J#g-P;Ez@Sw?W;3iwKK*S)P0gT$c|dyu~~831(n!>`Po+4BQ^ezTEMMo5g9r zDXFlBKmL8K!%Zf#M>YC^>TSWGDB!2F5>J;rBtPZF8i(6MO^9cI6ma`v#ogdvLBD6% zuGDYagdv+8&I=!eol4O640EE*4B$hl?#qo|g3m4+gnX2Kl}X-C1kOqxh)Q%ki|O|d z*`N_{bubnA#ro0xZNBRb+`Jy*>-gE}*2HsZ5^%nIDdNzi^(K5JeUB2Q#tSDeyUYhJ zVtykY-=*I<+y;|g7G4PJ{LE0w3pD|A`8nmQ`7;Odk^S9Z`D>G+#_maJ>cTA^Mp68iTF`xC@)ye+o)Um>GCbkPIJ01 z*?+h&_QfV08}In#_)&y+j|Q%HCc|&)uie1))+watbsXYZ7rp>oJuM8}esy$@kOtix65?=Y7KXM;zTE;h^Yu=3-8>sb0;r>plzJlheT ze(Q?o`}6CI%OHP$7UWsYk~D64jeXg*$B2LA&+w0x^#h%}DRTw5uyuj+*rZ+#SDBsw zH)F=#aC6a(#kR~G_Mp{t@U-uS{jh#1;Fqg3P;x{+9M!u*LuG9X048US>&7u zT(`=Jk<}SN{mGE8N&W-HiOl_}i{s&K=|0nw>312mq4;oTr|euD^77*h*l)UDnd)$L zlYUp#ZCjv@>84(z9Bv-acXn0s6YclNHT09bepRyL^#$PEzh;z^=YAD|t1X`Qn#bQz zKJKOOoV>tX$gAzi&?`?;eCk0IZ@k;DoqU}=TPa^eGX3r&`&=#yJ3mkz&~2zcchV!l+{+c?NLx)dBGE=Y^=w_oO&iJ;o6K#lchDb9`@2$eVkH`h-R;W1O90 zE7dnseJ1$r_9~m5yq)Vyc0N7`Kd64?);nB{ZAbQuYC_|PgDV^lyYHzp9omD3-)xS2 zkx}``4+rV}&!k@32c8zxZ?GAq$^QFgLmaM8Ob4%C^a4Dl`^%9Iw}0g#dlE{(ezP~{ zT8EpxbnoaHn;_3NY{7dgJNOVh;sND{x_1qFP1aV#U!pDXl<-DBsUstRGoQ)ihllqU zCuZ=ALdnGQES2_g?;iRnHfA$$^RYhan;ds}o3lp+HH4h;r~aB}%JCEI?E8lFJ`BUU z4kCFwm+m8etv}t@T}$kA@;ap_Ga;o z%axqqZ*eQq~!)?hZ_E&D8VJR*29;XT)Z zPaLQ>)!{5}bD9^SI&C6YcX~GA9M>eMKtGqyh#`?@i;JQ71 zui!7T!_Ou&)iIuB2JBIJH=}P6kyN+MIEpLX|+q zQGDRN6P;fhQ9r;A7X{8|t&Ikrw>9P}Whafx!(tt7g12I>yLP6y8ntb$<7W$~o|wcn zg!>MKo$4~(?;=kfoTD7k7WW4j{lRZW7pC(HV(_QgLHDxtq2HlQ zQq~w}k1R>=w|Xyqhu7u)SnTXkMJvKT+>7dr+#Lpfo`tHw9 ztsuX?jUVf9UfUB7@dtpLeBY0U-Xb15^H>iqg2A(o>Vy5S6#SrS-tOU>!6SxKoY>9L zWY?H)aF6S#aN6&B&;P4bJ~PS5v)^KXt5zYzZ@s2E+&10?+{RMBuSfkH?QqkB_RCIF zzo6$mLSC2vU&ylpC8?f|{&qrQhCDyy`A*U3G2%z8!!2)N2_H-hJ&r|;VPCwOG{2&OGq&TFE_}yq-q!DSVU3&T%!6U#ht# zKWv~rRBihgepcnD5}#9;40P6mclNIf^+q(HM1Vtthu&lP3%9 z|G`?|EPpihGrrVk3iX8cyS-gyC(ozT`=)JA_omqvHpJO)s{MlJ`VN3iR24}LqGpHh2noF#e<2Z?;N&FJ=AT}I}P$Gcs%*1f0H%N9`O@> zmt>djVBJ>gyUXFybAOqT7xdho!BpS2P@Ji)^#3fpTmBGdKkG~PsVev{&Wn9rYk|YH z-(2GLE{KtBNsDs0YD@bP@6JJ9%=B3Xd_n-^#9t#3KWy$B^n0cuoiG2cEXCEIpGW#; z@R*1v#6P$waFsR!?~fw52>GRJb>eAr826ExL47IfJCyJ}+2Ch+wG`y-RzIqrr9N8^ z{#?}0=q*WX%Dp0HGkf8Npaf1)$J;ZOD3Q?kEm5XE!#7U;*!=AUW*{)2$CuRBnD zUZXm!(wYG0slBPMenx${J(B~t7&039E~-);6Z<^>j~73Dy0ep~(sv|z>Ja4Rk8k%o zT-T)fEYf_SU;5RVn&@!jbR&E&y`S<~6BB^vr+Q`UP(4-+JEK3* zFFfzXReR!Gbg9$GQyX3dJo=RW88d}T=&zs}wIW@8iCw5me` z#}5gr+LTxQVp!vIw9f4jcntwW#!VEBi$*7C{OJdbi|peuF0awJS}tJMBwxokEBeWO=5_tR^Bs+gGw<#> zef3k12WT5SJ?x%0p846pg_j&I@0L$>tyozS{wc4Q6yGNU2_M}DeRjR_3dhsKc9Ok2 zOD?*;?Ktj*YYi`cHNmx??K$E4G9%%MYx#gVFEJjy{g4~C9cEm0eO5Q{0@@SrUb$8^ z+5OOs%eu36yS`|(40cU)aJuW;8)-+}IBVTJ$@NX}nRDRXQE$+0UG>{jMf+?Fp64xx9d+Yu z>L#qWoqibem+c?F2Cx32M{Zoq9C+0AO^!&!-%cor`I%h9R=RN;H)ezzXLY{5?ppmM z0^_<+?KQ41=OzzwtsUO)zH8Nls+q18adR~Kjrz59tz4E9c_|MZz&J1Z3Hj}{-N%ia zOKZXUapn(uEM_R7((Nv>cF19oSqHOeH%&s2R+8PoO~hP;cQ@ZDc7pYgOR^% zTTU;L)#t^U{^4+&R46}q*&kzEhkgRPYVyBJ60*ikcu~xQPkx1QetDvHxQtImU)A{< zfuT~|ZmAO+9XPXg0y#B{%{5%VV-HLQx$h|#*i%I@79M07#=$ngC zz|H-Dao}G`r{}w;W4%9#k_%b~gaQ0dL9~^GKpgfWB z&4KH6FT)%z=Z{C9Z@EDJRJM~H&R_3_zMOJ_;`~;CZ%#b{Uyk@2t?keld@+jRrB06| ze}^6p_jUTO6XCb;?@M^D<3nI~uRrwps6Vj|qFuIy4%a2)&^NmaVcl)wv1JYy2Yv>w zyAPv$Xz*gO!)@2$z-3Zn;Ox(};7d~9mX z&xil@iW6_y4cM_mM~69_Uv3Uuje3sOX!?U$&b_Y~n9}3>_9g`8}a`O0&a2-0?w~b zA^q!}P{&M#vvZ(7JPNq}mCg|p?vHsHy%D$>dWG!H@uNCZo%XX*+eyECIq-D^;cQqW zaC`S4`T6)uvRiT`aJBJUibE2`S)Gn1{J|yoDbgE*&nN6Byk{!(Wx3CR%gq;ov(Kjh z=RML8f78GVxQW{eKg~5m`80b6&11yIXqOLS@=MYWX+Zm>)^o~-%xb_@Agv3pwi4$l zn^O_Etw#GrZ)gtx`3j1U^y&*8Q*9sF{kR4A!mA7EXWI%LSztAAbMs5!DrXe} zw+qW-oCj^2>()htWMIF@rUQWM-~-4L9Zo#cgYIQw?R(OR3dg>%)%#v^^OUp8j&M4* zbOq809YFEeTYQegdC8xEtC@=G&3~;Be=|58{_p`GBTw|;e^Hm@Fa6*L3wi{;{Vj;% zGo%%8yRjMcSMFB~ErE^hXuc(%9(TpxWG0)ExP@IxjRqJMiV%{D_0z zx*UB`(Nh<1%}2cwRjCg1_H_Q+NHNpt^GM1o^AE*`t&K$dxvwAmREZjP<)|7#;J?cc zKUJOY(CXRVxbN9d9??AgIr2>uzP!%y&9*AQ#XEZMR*zRwUbXoX>!eU{}8!Vh`(0b22F{Upbi>m_)0?+R*t%dUby zy&sX?zO&$`zEx*~vn%4VfoBTThCk}>uuiahXdU6#hN4vw12HdEuo>)`=M9m!@^P=O zPRDNe8*!6GA_-4C9tQkuKjg9gK=qP;b8w-<<&|LY?c>9!C%j(TB!`RNE>hk*#+ep0%G&0N(Tx*^Q$* zV>iD+x0Qhfe1k(JPb(re-<|x%eowqa1Yu~?P9d7qL0N*xi z0ohEyYZ6W5x7SR35wt77hI=#0Ozt$G`tA@qm-lb~Oy^9_G7P#D1XolmcY5#EdG^9j-LeDxlm*_SZ%3}dI_erdCE}T}3;wZ)WZ?YVOT^7gtl`n` zgnTf|lS3U}$I`u-w=E35NG-P1&DWNGjQF!vWXB|28tVAgHw-!~Vm-#S{0j5Zb2pHF zfez5;`7TTcKV~p^A~k^UQJHve;=fEqoaLEsF<+jie1x+rXHSBTEwC8*Z+~xsc-o9{ zz~zC>v@hmw!Tmv8A4zs2{sgYhoFsoP`U4kx(}3&p%_;tVKET=S1{9yxy-}aV;L60` zxdME#d==eu(&-+k1}_25-zUHydBd|$&&?zJUJv+V`YpwL)tIk=n^M~%Ve)nh4 ze8+bUbMX<|gJIXE()q*pr{ldtM$vnd`Qi^e$5Vm=9A7OjLjE76eXM=H1a87UBRoAE zc4ea_IN!}hI$zA-PJ~xnJj&^q@-x9#JC8wM{Q0qRxIUh>#BRK9D8*+>^jwF_ith=J zqjQ#JPK*No`99!!WCzUK?iq@EIBP-o8{N7paC3M*^4UfV0-yK!n%W%}xH(1d#pc9Y z*wq#NL!CbFxEDP3TNH4UcQ*2$RUSxqss=9BUqw7^)EnBTyYdm7ma&9%UO%Kfxm_K6^Tq(z zP4ZFvk9h7g3Wr5pU ze)D{@_^JopV?`8w$4~>WV!odJsIbbZSW)Fpc78g{3hR;1N|4z5C=AE zGjKEgJl0p0pzk%J!#?8Y>`3={Kl;7G4toz=)vQkEcy2$~V}0n}EhdGceyY7+qh6V- z*I{2=j$Yv6BU>E@UvA^TZG)ZIN33x-TE}lFUqnb4&K=R{1#n)bH_fB|cEn#s%%tbP zsfCv3|Kxi&FZuEx^i7A?G`~^`{_rC79wF)+0d9(&!@jmp_R@W9!#O<1y6um4ek!ky z6wlEW5r0!*9`>mmvK%;z@x1SL8Hsgaf9@xI$TMo+bj7+Tb`pKDqXgwu>EUoZVT4|E=OO+z03YmigcCd z{4F_IxcJ!S0=RBS-|LKbp+MljQ+<$S==|5SCrxp|hQ;}g3=&%PVD*2UQrqqvx26)>**M4`Tk1~sv- z)RQ#ik$xSw%kkAR37$$yA)Q~3MLJv`UP#Y>Pv1>NkX{UY{C?secmzH#wP3l!+3mZ) zZN_}kSygyF@M&KFm!SuVpPmhQYszdTJetlWb|iR_<10B4IIr9vabOQ7g3k(G1g`JX z_doIH;bqYOH5Iseu@-zjHWv3K^G_yld+IIhs@dB&fS=|IoZGFaV>~fp0`Mvifg7*N z;ERCIwZla#Pu#+&9`ibH5I6p^4Arkr^nF_Q=)c+VZQEtg(T5E3LM^W})8V?-r@+}y zx#_vGDN02JnIAebmyli<3l=W>6F(u_R{;&MT(n# zxtZ|AFV;I9@vsW%*8CLl*IzZKb$?I$P0YN5ytRkUjB)y^+DP&zIR!eld`Y?wCk`RI zGwAmReyl##pZ(dOue}L3Rhq7FIy%X7E{>fRQle{msf(G$lnw3w_CcCpYs+{JnOWd;_UJb z9f8}FWrV-m)fw{&7vxWi5a7IbPKwVg`o9PHn)Z?MDUSO;Z%uVsjvhz;hs2I_{>YvM z$d4|gftyGF;{8R}`WN|ac8mhfk~f8c|7{xKd0L{5Deu0Mfp5=6e*X5J_&-&|ecryx zL;Bgz0OuJ;kyoN5)gNzwy;3<9%*ZpZ-v|Ipv`82*Y@D`td&nr_Madu3VHjCc){i_tfpqt?-<#@)Y+p79WVdoml~K((i^T_>+G-`BSPt;m^lW{fY6M zvq5)&tH65DS8=&$J>J~GK2nPtZG_H_4Cshsx3FLI&bLtx7ulbY-O|~xFVyV|IIqQD zp8OQ)q&M>75XaXaJbve(->G#gMeCB*jr@!mL;9zkE>7=l_Ti+N zu$#%C!xnk|ucTKas^{CtPrZYFClTIvV;tYcR)nACasuLD_6K3z?QqZkGd!hxpWV;| z_ghhc){&*qeN)9e=>WUl^t*-Zxe9TXL$~j9xG7Sa<~8^e_^*35n&@zTx)*T4A7Z|; zU*iCWv-^}+`cWO|m=iu5pcC)Ohfzz2e|z|X1gHPyRp{88qp2-$e6Qn+?sR?`pRb|A zyYxpqh39t*Id=$j*yBU^?quuGIb!^&Udf`jDGq*1p=*wHPIkI-$!e@GD@o@yA0Go9 zo2T7w_!&#*zP?EHN0)yJKCfL5ab{nPL7c_?W^vF9pnIvf_yYPStwad?_xFNbxs}cn zlW!O9+xGP!;G)(H*cDUnj)RV^1${MsJLW6O9@z#wmJI-F%xg}y!26ytj1apVt+zE6I13A_h;gZEBzt{Fh76rShz;(+s3H=-S1kD+@Yk6BFX)p!{0;Ubypp_&&A-0ql*b+qGak^j8| zfXfw0z*RMhvnaFyab`Z-;HPX#b>6aNXtba_7IAL3t?N(Eo$j)%jKd?^gkFliezUud08($KmY8dFYr~W6A$t z4fwo5Kj1u*-f!&7>Kt5ZqmLc@U$7bgY)SBJ*{XDKbQU&O9?gfDDB zcw9c*-`EX0chr#)7&m!8TjzAtg`%Xtntl&q|L(&1XxZwkXE{Fe@!a3) zyaFzKyN5fRxA)vX%S?n_eSUKf_}MKDIyx`ii$#e+8)0|4=X>T``W_}8E$EZr^h=PA zObtMMUlIQ#)m!P^|J#Ht9oBIz zaAgaUKb77rb^5F(okOb3AmE}=HLMFWKNG)JDAt9aU5NY_)9HJnocjm)Q}#BU%caf| z{{sELgzB4&dzURm-xEykx5V#KI?mY@+v&Z=CZ!Yp{m?Ln+gMshv7COVHEpP#a6j5_ zYzUpd>QvHVH!qoo;w*2{J%T^ZHP_+#I-LtFc^B4`pXk2Q;e2aDvNs|Sd8jv!pY80L z#uRs%S`s*qIR$^%8mgb{CjFlq3!c5u@#Pgd_iYcVlkAlzo+m$|c(oq_9ToW=byB3} z0B$PyqyC69#Wp$}9$K6D@(t<_>othZmc0gFb&FpPo#g^JzgUmjM;WM-dIQy4vxDlfZ2r+|$5*=w zfoIy*L~FB`UFvXtuQ>WTjDF`;Ew&^7)w-O()x%kcgTAw9rmyq=HtjpTf&NcY{k$r` u;rjR;(kVm#56^DgS>te#_Z4tio6d2zvNhH*Yv_M}|BJx?BJlr11pW^rf>=BN literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/10.npy b/MP_Data/pose1/0/10.npy new file mode 100644 index 0000000000000000000000000000000000000000..8cb985fce1a2345d5d08f22e6b1503994dfef768 GIT binary patch literal 13424 zcmeHt_g~jH_jW9fI_j=gtr%Bv?^+QnsZyNOZC$OwQTM_vf)NDV6R8Ubwu0NbwN(fz zYO7Lh-M7}LxJMl~?(rqp`TPaXkI(Dom%MW2%9WFolau8AVaYe$f;#rh#U`*&p8*5M z_7CxC%6*#s(8Q+}_xWK|$heT;k$p#n3>fI}z~JFy2j<{o2M3QHm{YG-zj5ORwW`e8bF|A52QIt1YMOP;wTqsw(awJk zMLVB=3hlz{2HF*)c6mPy?X3B2w9Bt=QTrNC`};~5*H$}(c3pGbb*Ha=J?&Hcuefpf zqtj^T=|7{L$G^h(W=-{fVAtGNH2&`?XlI?MUEDfK^Xq;MIy&_9DW@-=QM(M=_aF41 zRvLE5=`YT@c7FIJ>F?Q1{d1?I)RT8u*KV@OKYHP})bH?dwA+&ED)eVlJCCn?!|6-! z0=Hbrx*y%;+SN}qKXs|j8HelYpWbn$@LKzqYd3`-VSM&*2ypqgAJxw-O?Ess`NTC> zs!Bhgzg;x{3Hl#Af7-M+9%|d_l=kZ?8U0pwG zcf+-tnz5T*U1lu9xFT2DQ`7_gIpo@T$!Dir-Kff^T`BU!y>O)-lJ~Z2m+Q{$K>N~` z=1Tiw>5r~mByJn$>iSGmtUs%=5bb&= zTj_9q{hQ(7=gxl7 z2O_7g`!>V6vAVjPYu82VA%4`&qF%0DMK?g*%*if*{_RU6Zsf_%Xg4G8(7N}2Qp~j* z-w&z(j8$l7;U6Fl`Lz=jT)SGh5#y_i@6awYzAz5At1eY`CGY+d_^MF7+#;uLLbDb- zT$H$15xn=g(9R|YU|ey$-Qu*Ic0Ioq^&9soO8a`OcDSkbn(Uc77Pw4%xzOS4;Z4Gy z6hmo~+O2fB+}jX5zTgkwqG)uI!-by@aC4|H;X?zUuX|;q&IYf8-%U&#=<9diQoVLL zlx)Y{8L;QGd({7@dXyi+3(vy13!jqC7u_%U=Zt4cd^p$PYCZ9Fp?&8au3Ib(bvVy> z55B545`Hj=k&7HIqn-noTjv7TMaR!~IIDgiI8Rtcek+nT)8RJvzrc0ZUx3TZ_0iz3 zd_wx-6zMdZ3_edKT-Sd^_`}HAj&Bx|ojj|`b$_S(mVvJV|0H`}^#g8lzaQuLJe$@@ zbPj}H#k+O!&?)sF;&<@ieSNS$=FAmQ@@Wth5yx)I?z`! zd9jXWZOaAVFG&Gz%6J23^VZO~wRfUFA6|;qotHAinxC+cm`*#5C7v1j!^hCevs~w;JnLz6i`WyVA>+Hq2{9awMGlrp5 z9l{VN>TGw^S^1BkFM|S?IUQTBE%8tPLwp_==WsLoJ@n=A)70p9v@*%+*&IPL}9?(Pe_Skpqv@x`m57}s`6ho5!h{1mr;cSiiE@A?9lv;K<5IH{q~ z(RrG|4?6nL66h>g3!EM4M*i=97yh(a4wpH(Lw7nDHfW{&hIw)+96l-{u}nex9~zjy$N_+Uh zB?OJ{)3i|&nfZ4t5 z9zuTWQyaLPHG=ScE8z!qr-;J2tS)}}l^#v~Cgg&?+V&mz=Jb!yVZA@Veqot2f$Pud-lVFP!2QRb=}P(Q$KS!X zX+F^BZxnRJl3T!aJ1@F7X8V&Jfn{la4cgH9-lp|3DFuMb)RT06#T+9$dU^Cm6^(NC zi|;-2+B=o>ueHZ|nXa^tOpy~9M^&9k>-Bmx?6l>Rp|8BEO?Eok_`y!LW;{ysMG z4|*X!c!vO#GH6qR<6AFU7hZ(&oX))#_A|fJSU-7{?lr=@e1d-tU)Jc1@%W-@__7c8iV;7k*}ZAQTigy z|MftWoKL}iw4XP}xTaJna2ByJ+VSNVWuVI*T%>$eqZRFo=n16n_bt}TmYz5S`tK`~ zJ!O``e!J~?FaI1JzG*Fu`zDa^jP>IkF3VmbKexqU*c}1Zk(mR1~rmh;} za5a24<|VRP!!BNROSr?u=ULEEHFpD-K60AFd3F?V8#00LxDK$>Zv6~6D?0$ViD-cR ztK-th4|OJy{_kVpPx}e^U3H*$gL!|C?r*1RAx=!lOxUGU>&E)$jLXs&LWj+7iBfFp zh4o^eyu!TfhFw?}UOW!xtbFwqtxKhQz~wT7b4|Qaz||Idf9t|e5m#!(F5vv`Vd5`} zLVgwrH%R}@HP~+(CsRIu_7Tl%+Ar7_HoIO&XQ$q96u8;-3ON7teRufnOj8;+dJx6K zy9tvVu5NsYdGgYw!596@$2lFom)`lTNDuS)y??{s^7=)bUo3bF^mVy` zq+f8@0LQmur+_DXCIc5kGJ8Y+S_J&ebC1A$#p!a`*Lnfn>-ezkh<{V-2J*k`O7}Oh z;s|gZJ{#w$Jrs^{O`BW9j}N5tD`_ln@o`bi%Y54i>!KzG0%x~6k>3J_VI9@9&xzk? z7j#5;Fvhiy=^kjk>0ZS1jYGb*o#^~9gHpg}H_~B`JiHt8)idckgY-(oxUAtQipvr6 zF<;gC492x3=^m*5r1;f0ZzG?uojqX>=kz{R2OEuZ{uDpe1};0?fF3(|2Dq+E>#HNy z!yeniAMr0Kw&slZvoIOGSLToU7{(R3dc$7)huYIFxU zo7@?8>HUrAUU6zR**$a=bVTf2%$NUl5^>K|E1JiI-w;=3StR&!|0dveB*Xfe18u=q z-Odt!dn-B@g1W#?v85cv|D6hSo^GS}uj)nXpn7gbey|-TLr1smL-zFh7wan@RiJrA zYy>XLeTMzW4rhQbZXBfbeNY5(r2-0(*6xhwvNglnFnWrnfLZ9o852 z=;L&MQ|AojvjGoak1D>D{8`~R`J?M;y7zjO0M6&pz14R88hpKH2F5dus-RsBx~^c) zp9A3^@%3?xFLv~Zfq!;92j8Bo3EZam!vE&yNc1<2hmpPBGwFOOM)xrNJ>g2^mD|QuQ%(az4-jSLrnp+_SUcG9be#!x5RI=XulN7 zPrBdD!g}(*+ED(i)r9ODRswo*+#}>MdG{%B-fIN`f0;O46!gD^h zq5X5`1>#5+s=L+kc?f-H*Ae-!UOf5Vc@7u8tI=PUECpN@yuJwh#m5OxDg<1-zP8li zYUFd^DwXbiy5htH;O#pA7av@LovcYb_BG#cfa@l7k79?@7l8kKF6j>mgCC^-xtR`^ zEAIkl?dAbj7lUyx;%6Aa!do^*Kb^h-`PnAZcTeU!8@QP_0Q-@3=?=bF`VDZg<}vc53?B^K1cU%rt!8#i zbK@4F-&ysa^GWB2k)aM(4Ojczb@|Va4|I;xb02%7Txenl(UmXdHfSu7VT>L zBH9-fY5$1!ConG_Sql4+r}~o}x+VN?#!QWOI<`_5^k;MOfzRG{#e0fx3nSf!p7Z(o z6YL9CVG`ki^m~HM+ZXnW(xsr!rksI}EkWz6%C`sKwi`_L4F6}Pn-@Fz61c9n7x`9{ z9gBIHLv()F(5t{zp&d({o#NZCNx#Vj-+G7h6ZGy?WvWxWy}N~TkZ<@N`sTm} z;G%N@#HZb^37@|jdVH~>eYD^N+0(HlaCvR^PNy#~^aL);(RWd?D;NBr8qq^vkNL{)JJPHvH}qXrmp#4C>9EY|WaryK zXcw2q;2veJ)9+90qY1#(%*NqqIdr~{;?^{X0WQO`dpleXYX=?qo#*>T;8UElq6&R? zleOsg3z?@U@&oJEkLLTr^DZdvKgQXkrqFjl?W>`0+ti!paQm_k=_k;=)i&6Tb4Nyh zLHP7o@cE=&O`SdLb|v5UWS43fo zH+@g1h4PaAy%^SA+$=EJ@l_1v2R*C@_~!E@oFgoHH0(5k=hJ@tIAcJX z<1eLo*>!i%yZ*Xj9{69MzXQI_eGliI==IYI*DidUz#dzB$rV@U-^BmyN>kAnd^PnK zIv1fdy`bNvY^P+>DZi;@S`I85(7B*9Z<9ZdFQ<2qPbV7p z*jw;b$5iA8F|sCbUj9Rm|8GNIcAuXD8n(-9XR#2QUzj%zR+aBHRaI>K< z*;$;v^QrE`XkY9Z0-QC-P3?Q14|aU}DmU!WuY$<_2ASI7`qD`7^n&deSKV(pH!TNe zmu>>*nG;B_>Sl~9kI_9usnO7}N0M+3vN^%vsS8oiVOKwjgHE|)z-_G(h+A2#HSSTW zaw2fiEEqVS9kkKeqlS^+bnBha5s%MqbGXd-m-w-sJn*^!_~x^An3vr{-{V=GT)#Lz z&!BfTPy8s$)%E;Nuu})n?`N!TSLm^pm15J}xDlRs$odiE+EH!s{Z^d|fIfSEnEaM+ zEA9`hDxG&CaT9RUXgv0>I+hGwwK|pflP)iYJr`(QWPi$&>g0$?4j1oezWi|q>KEsY zIAt;GWi=}&m{HFlnwxf2q+T+PTPcq<7n;o|X{P}br<1@Cx9$BXq z;-4?2bB)C>Cj8fs`HpXTeFZ!8Nd=reO$W|8wuK)|!!*RRyyBDM_&lvQ+1-_XAC@PF zQ9PW81TJ1@fUnPAg^rH*?8lM6Qhpfx7Vi!*{sQ>+5d9yYZa)|A4%_J=aC!6t*rWG; zupINcO!prh>qGX;`tJ_dznJ1yj-L;{nDG>RF`VLDZT}DHRbJCSEysQx;W_umen$5G zIXK$kDxLNz^P+bQ+Z>I18gCm99xFK>epY)bCAo1`F^V77(@;DQ-jDoa&(is>Mh0QM zSg*UI9iP411s#6!4*aSYl|!7XR&@TFRbRq>JE{l8t)cvB{4OFN>ONkuQyi!U9lNg$ z#lxec@SE9NjdXAPK=u~)hrTIN4|Q2#E!veSJIc*h#L~S~_W2b!pD_pTTvbDWZ(5xP zZs&VVaC}pP?9BPUG1AG*KgQu|O=Gg>t{?fQbBXS5z9zamaOIN(zI^WkKj?a7pD01U zN2?KIvG2r_5Ynl%0DN6-_XMY-Iwt_L>0(fqUClAR+mvER-8S-{nVHe}b)vB*Ehdlc2@ z(eGlqeoM^P=o`TKV2`~&jhO4~VN`@mm^2u}|}9EvOSeTUWa z{2t_A^DD&_IXX*PSTTpYTvtL%-i2fp14fw|l48i{852lcAl~CaN#23h`rrSZ{ zZ>P8tnN9HBKz&mQ^Jfdrqn+1SjJ&GfSkz5@`oAXDBRwAWMACiKMi)dsl~8so@Q@7B zFW~v!P;3$IdpyST?rvI%@^nov>=%|W9DLp0v+o~9FLv`{iIg8q=ZZ9b+@DbnH*-gz zZu6dnj@;3EnZtEYdZ%mexyWyJfem%`@UAPsXBS&g-rLdw{?~pNfveVyfwMotW;?#@ z^&#dXe-9%3xF6odY9{R$ah|?MnPH*uvsy;?4YP78;-9riT@9TB^uFb-J@5Uv9mpqk zU>@j;YXfM1otvEC_@?kx*uy#f&Mv#{|Iy)g_gb3oomlYAe@`O+^KVBJUWWefi3P2K zpT%hMGrLz@|G~eMeIdHgJzupgvLMar1P6n!SAK-jEMBnO;lh{lFgrl^Aa-mW){70HcaW(__e9fb zM4aQx!*tJ3(>s&irR|{(x2Kz;F4}&HQe|#h0lXo7zt;WfK49uBS>kZ@FXb`YA&l1L z(+Ri_7S#+%Df;uZqxT??tO2i!$p%qSVunb aCB;eIuj0XXeg60NKM(xR1ONYf;Qs)nr8V>b literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/11.npy b/MP_Data/pose1/0/11.npy new file mode 100644 index 0000000000000000000000000000000000000000..adfd76e2ab9445e32acf523ba829b8cc871d23e3 GIT binary patch literal 13424 zcmeI2_ghxS^Y=H3iel`&;M%*cf=M;EXP7@SO7aJOSLx?#fB?luP8>Nn0qZ4 z6Jv}TD{5B67Gvzj?w5Vf{TDnxKG%m|_ByYfotd4T+1+z)mihJW>fi4RHkpN19Uc%e zEVyb@UbXr6jjPt;Rlgq}JTZ94xWVIthX+{RZb)EAKo$=fIb=dW)^oLbjT(Jjt9mUy zlmEZ|5q9Ovljzs?>SS8|Iv4e`b}j#c z-Ak9Ke@hMYtKponSb;T+izOWzJmT?iR6E=FpOs(<~&CKQ;(yz-~tuOR&0+{mYe&dh)nc3eF-_i^ErQdTr^IIDccN5ir3H0agOV9I* zQG4}Wq~%WR1IRnY>e2q-S9dP#UVRF#9`(K9n0Y6{0oK+thYPqWM z0o*JZgE*+VGihF5zXWG@=Ms+{vdGG_0&YD!;=q~Lra6}DgO5nQ`7Yw6bPV)2dIByy ze<>u-=K&0bij3`v`JQ;H!nf!^+2GN zu_xDo55G+QbR^CSeuetri6>DPtbPY-SLTlJ&C(;*Z^S;TKc7LIoz%RDvs%y)Tm)SL zSN(g=w)$n}2|TlYB+mw?!cUo}B)HDj8?9Ir8)fBnTLypR*e&34c<$+zi=nm2?p9B% zBl~GC;wzwTS)nQqYw zTs%34bzvLkK)>|7ig|1PBj#o5oWQd>-vsOKB(z#?^^3d5z|D(=;B4n(W=`ZVbauAgY-*}(O*9=lT!4{<}lt~0MT^0KgEqDd=i%+y3Z+-{Y?@wdh`3b6bCuA7u zd$@@9lb`dFy;WbqALm-jIOuQL4(r4ddlD}jf%x-QNqFWtD_{4u@qIqCgOwNeWTR4S`+OI~%yzJ&5wF<%?PHGi5m0{oydJ*P}+L7uKae@`pF;OY7nnn_%tm_mj!* zQFI?;HFslu&8v;1Kdl?ZKkO0W$qT=Sej_!lW0j*=FEOAH`FZjXxCopX1Ajiegnu$U zo$L?2f;`bRD9++mZRi(GLJLcRGs-A{Fx+~SSeB7FN>8kKYc4`25wqq2n!}tx@4;}9a@?+X< z*p<7|Mp*r#%}LBxj|`;wZkrE3S;%Z~HZhX;&1~SjaWCR$R)XtMr4Ub3B!c4Bu^r-| zU+x8GK6yyKwhQu7=8Um+Wqf6lFPH|d_$v4*BIvwUUi-kE8M{fIZ-KmXm+DA0uC*5N zxk>fN9^COP3Mw)3(dg z(|q-(+2AtGUDrKQA+KAlgrBN&2k19d&l3-g!T#f%ZAx~VKO&wjfcEW$xkcx4V198yjazU?A)sZKx;)58QC(fCvwRH|pIfbrkb*=DY7{uNB$J_aQ|WL>HgiV4Y+yFwW{Rc{33= z5xX2*v<+NnIWI5)d9RBklAW3bz-7Uikk`3R(LPXgytMM{(tnWW^XPon&uUHvA4_>= zA{%GIUSWp(6s_sKfRA>c%OlgNzIsu9n3qe*|A_P0&&|C6THmc>FkffQjD9ZbXY4gR z>uiIG_gsT|)T%kw!$}UI{?ezTt-Lty&P(r0@Sknmk9ASKr$Ij-;E(lEZJrOa^12SK zqv*5}{)>|h2H1J%zv%r+WN!`bTzZH3YUdi_%;zz1*>XvQmFL}`VLr~nS(Hb`uEQT* zY#F#ojEB6=TsaZ)G0Wk7SPSTL1ejA^EkG&w5`l;-fdb z#=KPIKCFwg?l8_-nTz&MHRdk3ewRS!T7emm7Y{0f^KKb*e#PwrHd`6Rke*!uSVxtk{#46Z z;FlEt$o!C(y-uyLdSsshB>y5e>~OtqBIKK|BR>oMM)7WY7U!2JOXnjC8&3J=pE2CZ z^RW{l#~x1xXKgzTw))xBxrnoD`8~~d^(NG>&ZK*t=6jI;^1v?Cms;$;zxkX1=S_R# zULihAhd*p@2Dsk#HTGNQ`gm|>m>1^7m*uDTh#IZI)puRNS^MrW@RNN_@@w}(kIH=t z=Z+Ipg?R8za2Edu&I|oVF>tnV1GsaoF#OR~lQCbX^GI-6_73qr1DBBlkmn+H64{+Sg2s6tr}yGZbnjJ@i&CDPjz@kv zC+Yq#OQz6zB`4wB)OE*TJpbu1xb{m9v;L@0`Cw1q@CH}wgXsL4N8gY6$}aHB`THo= zS9wHJ+n6Yppn2YxvUb?t1=gg+wbx}R?rX9FG~ALNvy$OqBrhfpielFp(Yoq}b+ zO_PuFth~Nn5_Wld1#qWMA>22dbAhyejZ2|5we!G#XD8*A$dwy**{GYir>SoPAm*R0V%3G{&<$)*b$;36to46?KN-we-qD- zgX?crz#raeIpSlUohA7vWJyb>D&5g)PX z1njfL|IR@?Z~sT~p_Ra$p-mBg9TP!zn+*duZMV<1^Wxd6;8`>$uAWYcv0NYA53bJ9 zy?}+}#C%mF+K2Vep6HjXM5vV)V<zgdYbWM|Cn4e)d5Ad2tW zCbTY{gHU(s=}vHdryg3pcSSt>ymc1OD%}h6{KiDc0^Ia3 z2`(=hth*RY?>}r~FOt9cE!IWV`-k)#Cx4tN%@Sbucm}xqr!(Z8U6I&Nq;~^wUB~@h zuJq;at-LwV4_u{$BM$mQ8`Om}mF}x%(q?d{Rbi^@MKs|P%YJ^#=-r#$s-|IFD?BR_v&^4D)K+8TF&D zFyx_}k|Wv5t4hJ7=Wuqc7h5}%&cQqzz~!St;L5dpsg>tZXGs6jJS5*SBF=JI>pyTu zZ-YPP!l!l6f2}LHK5~WleV@6Ovl;Zeo>ZZjuMW(%*mCpxe8`J@^!_9}^+KNOE)T(F z>t!VW_dm<5yh#2`^8HVNi_;%gS}w;H!F+{hY4~Z5wcTL3N+Ey5jx_9JEId5Ya_;vL zdd#*q@RRwyNwC~`(-wMUfg|7|IURA6o(;gATf4wj^&6XDx93*qVH@bXqRvc~ma`r7 zI|aL4pZscl7W;O!gB z;QBB69;=GhrhT%jFUG4@oe_WKN=F{5h26>SQxB?}(jP`z{rn02-m6mSd^Q<_={(vs z8S*^v3f0r0+PH^1(~3er?|c#5yvY?0KOfS(r2lZzKjKU51FX^;=wVflA~Bt!;-Gk zd%**GzZKoK!CyJD8tm#u4*3(jk>WHXTw49+%cgi{C&MsbnON9-3DAg8{iK<{06xCt@kz9D>ZM4ZDpZW6wgkZa9;7e zA2)zUoF(}phY@EsO~6kX???05{F(F@E}3ZM`M>_)=6E!?jEmf6xq4p(dYqjB=ohCW z>HYUZ8*m*PLcB;g>V@y_M?8#vzu=pv40L7b5yLuy^R>QcO{J-D_F3@LMRr*n-CJeIeVjW?HiA5#x)k!7|C*{ZeM9dlyw+!b%blCUER+e-Ro$?KZ)z~%6~;QZh} z!z?#B-;?}8`hKHoCLFSy4Wj$BOiP5kxY;fU+>h$ZY~2FR7M~pp{THi|9zKEEh_QGd zXN71TrS|}EHqO93 zR@|d=)(La}-WAq-wAF9CE5kqe>^>{%tSo-%X7FVvxFYdqr^wZi|8@fAK0jx z;HCzBht|JsLOgW}-4jeIy-$laXR#mZ=6lG`n(psji4C!jIg#%5`ij2a^3;nl@N+cn z8`66*?3%hN)N*H2ap+OQ&(nQiMwb}tKVR0J{H#XzT#+<>E96s}fs5_;=p5-Bmk7SU z7W7Edg8a%y=bBES^Vf-V{~mIqNoy-F9?hHDCea=EMh*+?G9vzp1)yfeZQ{k)9{CK8~IPyUtR& zuR8nbyPS}IxKGMPl%G6@`#Z{~R=CHC<8&_QQw5N>Vr=ov)*p2^5&A{F!QiS@$(@$V zhCc9#j#re{%J(ioK4v?39zRa}GdRh7c z@Da2h@?ZRDevg|hcUk$Kln?s$a>T)z6ccRa*-^SbsM5bsT}&B_`-5|Z<|PjA02i?( zP`_sICbD~w?vrZTqFC5}JBsY}qkU2iIzGj6{;@gyH&42vU-Y?({4sT(!Vk7$Cj3_| z`k}s@ygf<(@;u;TS52&=@uK}oxK1LT=9|DxR=?A52IP(BZt}ltcI3ZkMEj@QzX;s? zkZqBbSDu38f1g3Tp#!eF)BA-O=l(yuAOFNUvc&!*pZN;$m+jso&g@JCI2-#5xUSNH z^o*x^RGnPl!eay8J6Nl$kms-I`?0xE4(}bh>tk^7buNnY)Wz|b*QFM;?v-mpk8|R5 z3gS7FzK62=3n9-#=B%>ZcDK{{Y$l|}SkAoYTwwK6$$t7T zb1dhN*OUC15X70qyhHp&E~*nX%0=<-HVuCAN_imfl<7+A<=-B4Dm{*X%cJ*c{V%@9 zdj~H{=P$3;4F0PouMtmOg7!~U`cKq5ujNO6mahRlx?U&fm!Id+`&tm~lg^9)veUaH z>c|YB_Y_@+zT-LFK99Ha(&=<>k)a1Et{$Ef!6(u0L##XfULZWyOtxHZr#ul4-$P#g zdmzYi_G3fXcq~f#&lqoe%Q*{cy{9nQ|D{T7ajrFJw|4pq5kTbWk zAi5`=mNT^)Bv@GFC5({uB2-KHro4 z*Ythfw7lKTW$h-f17{!K!7mfN6!osW=DOwEQvb9=(`>Z zr*lfG)AOx;E!_3{f$Z@1KZIK@Tm1(;&WU4a&4YK#Eq78V4*IkQ^3$YzXlOZmPWKkp zeI@2)Vk5@5te$7P$e*KC;g3wNhWgc2XdjcI(LHdWSK|k9$dL8`lUI@>6Zf@dN{@V-xTc^=@RRG*MlN)gmBk2D; zRCW5DmSwIBvHr7I+UG@B4vgbX4#!%~*9GBOT_{8Pn$?T3T-_&mlW-n!kcU>rTdt?M z-w#(V!2TxRw4r;*)_BsJ){gei94X zueW=Hi{p#Ioh?tWU#aY+z-6&8FIx9KA1O~t=(W&eb^Y(}e-Zd! K1pfbz!2bc~?m%Av literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/12.npy b/MP_Data/pose1/0/12.npy new file mode 100644 index 0000000000000000000000000000000000000000..cc93368f998fc66ea4c8f7d9f1a8f7a69a4514b9 GIT binary patch literal 13424 zcmeHt_g|N{_jcT~T2~cEjT86YqQrr9;lw&>HB`Y-95``D1qb352cQN=L2+*@N*p-a zx@Voysx7w8T1Tz&CD(cX1<$X~hhOr#uUxrua&pc|?)%NsPCfj)^v=Y_u}R(ogGLV+ z<=upP`vf=guExECM~oUXDsXuJ5u*kMIlN6^$mpO9eDvVJkwF>Hm1;L=P^VhuYJ3X+ zfBnnN7&Dp6-S^FC*)uPTHoeHBl#EAR`r~u=tZLLpKks?sj(g@^CjI96`Rjkt&#FwK z@mDURU!0?Uv4HxecMA2td4hfuGX>*iiw_ttHkHG?dQmFrr!;x!^w|v>Z^pO0=jJub zuAyH}Yk+=U)6?I(#$DIXZvIE(M>j^lx%(daa?5edFGoCpj`oVb1pNpauTLJk<;Lr_ zC18i#+VFP2ETKhaE+0yMJ}x^_x_Wf9m$aINRqe@v;X)}lKZ5?H zoWHwPw4bxz^~+YYepRp0RfpSlrP5q$(xWfCe)jqq?AIgu0+%86>ABB_jgF_fOnTs2 z*=HP$PhIfJJ@caGnj0^JKRf51#rC~VU28MlMZdn;>!|BzmyTU>I6E~S}b(vt`)r#F<#H~KIQt^ zqN~?{?>&rG&wK*=MS)6b=pWVMi0kJ*&mX#0Zp`<_wdPaL6|P_HPacD3>yQ06ev8pB z?CBVX^ZNZlT&u?vdF)!1rTiz?$_jP|T2Zo#Yt73)5Pv55B>MIG4zSzCc5jRR@-H!7 zzWOP%$l!}N0lzt%Ctfb$THUAx;zy_E&w~Elo_s7?C=Ym;Zi{K;oHI zDn@NgLb%gW0e^wdGuJ_V&|fs13wwTg4P2D(ecLyK$Cg))!n~)S65jCm4dBr^Cp+9u z`v_ci9R@$xUELQuocH<%xSBiH0|UJExI;PmXwEFPnqUo1O(Oqxw^voxD5N@pVcG z_|r^jMf-AZ)oSQG{}p`wvL*RDtO)Xh_dkQY5Y7E4KbFKQ-wYjDHwkrAvGfzPFLRq>-(_3xW#DH%4%`e`2%L?$NclB+ z5^%e&A8hO(#1ie}VaA$6Bz*?3owsbok`Xw12(2(|aw7toX(#JrDjlCHGJN*lSZ)P1JeEghQu;=YZ z*r)6*%+ETsgg*PFE%+i=E$H)7Q^^k<7|q)vkk;GvHrey#TdYgJy+nC%WEuRado%{F zCY(oIRXzt$Z*`QUdB6Jrf9jZv@Piq+opg@1ApF``I(NK$z!ztR&_4VcJrC=eIfv{h zZ!xdEFet>~{9r2VRG$y0_3j-GJLTy)JqfrvNqJ=Y zei`RDEKN7h4B?$RzH*K5d z^jX_2z-1viM?^|D)I(NrKk+BL!n~r^XsS!o4*}1(00QSVT7fUN6K@NTCbhHl>89fopcUU{A;br{<5CDUVVY)%|9RYN1kj7zI^zE<_#N0b`H)1+(v#0 zT+a2ue#u+s5jW~)9QuuKj&;7ypYge|f2?W`w08G*h);2$K6ol(H_baIlFrjBwP@a~ zKazg+tgv4v9VGnCIMQqP8O6_Uv@Tve7`UGCE7rxmcY-exf`D^g0DK+znDXLfb@bZ> zm7vcb)FS-j5W>6rlOHBDB%P_5pkw-YBc9c%U#Py!ZvQLRS#TWAWqEB7)x*$W_(MdG zKs{8SJtO@4b;uX}wiou3Clae4T7mm%g6@oMrN&Jgbrp`$dajvhPU`=-Vng z=$!4<3b+i~jC|+SJJY(x(LK$qS%>-Uvvla&(09l$W%^+~=EPC*_pENC zoW3|X2fF&{J>V>QDdK@W_k$gJ6y3Y+Z?wNEs1A5$XbxI;iK(zh&OQ&^CLKqs>s$_Z z`l=zVi=7@1TomTCUtLmYy(Q0J9#tU<{xmTY$j&D5=(iv8hdCW~tu@&>a18l_2fdk<);l}&ZMko;UUu;v?MH_+vg^nS+>6*CI=|R5$^#a-H^%8m`-9FjN;5RXBIdIeU za1`(kV-WYE%6jOSpugrh+zy)xzP)n_`OYHRPjk4CAHiqG-=bgLP8{uUlXD6AWk%zN z;9Xur@iX-;`R7entV^XQBfsRqT(qvxr8Mt|?5GcFQV7jEG6d_jy|2lX41JdO0iO9D z${Vq{Ch|o*Xiaf5axD7gp7ygGpZic;s%KYVzfM0$_o(?(pwF+8J@QV;LEuN1Av+tb zfc-2XvX5H_OY*#5`L!l|P>FF4*Dr3u&#X>n;Cgk|8Ne6Q{ff7kO#4|SH|$YAEP=kQ zw-S8OampCS=e^>{{)FMMUx{GEiAsJ>`2AkAt|fyfreyHdOV7P!RY&3{bPRR4{QfA` zCE9&Oc3I!44i|B0&@q4Qr8r#sA8=VU3b>p!9=IG^DFQnGRtIk11OXR0GEqI*ehTxk zqzQx{X^wiLqGysF@#}z_wfm8G>Rw~Si7FKVyYz>q%Y2+jA1mSrtcl%GvM0^*<|duIU%kz!&kA2oJo4xKdU20ym9L02fO`QJ?uydhcdQ z_sLFk67j<-<|TWwZ9!g$vlF{JJN37zzEG$4Ht(wT$#_v z{~ZgEPK92}osKP67<@iD56v@h*jUHs{#3tI`Z@AD zz+>U#Y2LqL`Z|5HFA9D(#|Duf%CAOVi}Rj)-L!3pe{=2t?n@?aCiKPZW59LPcl2K4 zGa0!4`#$lnH9);p6+?-ik{j#dWxQx#YP1H3(g++soeow=3_^zGwS@b5p#p37oHeKzi4gjd6Y!j~W11ejCaD*Q*iF{6~7P zw#C0DdwyU19r&5)UZs8hgpP=fjsQL-A9VDJIQYjz6vufXy}p3mW_cE}YyFWJ$LG

_Yb<+5QCHN9;Sg_p10Jh!eehAL5f$ zru)Brx|`y&-;Hr@UbgFdveWwza9J+9g8dZ>kpDgRVLjwWI`0=NQ$eDr)*IWQA(Wg}+LdKzwmjySx4_I+Ci@NJ2Uz-8-06t|nY zkbe$((Yn^RMxEq0+5=aguONS@WvCD4!Z_%dke+1E>Vnu`HKZiw6^9dPy+bu{mj5{T zDhIv4h^H#T`9Yf5$ZHk&nCwaH+tN1!x2Kx+->HP~?DuBR_t8u#_)evh zk6}EUcZFJ?o!Z%BD*51<*X>U6IpQby%?!H&KiFT=XnnPPV2^H9pZ2Bx3E*t!P1qwQ ztcHJN<@3Pxu@ux*@wNnT-Xss{=cq~irSs{zMj7gFunBQxhKEwU+Ia%=u;hcYoqx=< zbnsQ~iiDTF5C5BHk+d%_1_GCB>mwiaB08sJn;_ugz{6Q?y*B$H8vnjITAlYhte2fH zME<>*8#sTEILYzFdwQQ@-EY$R;x|)X-1-^kx2&B2zV%n}&Q6y1JMt&wxQ#8JINy7b4)4nHD zo~m146JCtIyRvuBNoNq*V@`Rkfgftnd8Z;NPwm2B)Dw1y-kZ$d^j$|BDmmEkwGVw? z7SriGH?5PYPL`qjsu`IG|FC7vk=HhJPuiF1$FOfKsx$nreG3A&3+4ishjQcoAZj%t zyZaTO_5JXc&g;~_fvcs%$p5Tuobxjest(+~@kPrc^Wc0GjoKrB_~TEABe^#BPRF-q zG#if6Hidwje-AHqIP3fiaB-R9K~2~b?Qj+HmUL>;cUS(f&Kig7 z7oCCg0XJyfZHCN+&JjcSy@^<_xzcMP_>uF0tJ8}7^Kro(=$Cr}T#F^d4=PRfqPh(0 zl5OetKY6G2O2?O8g@LmIC1AfU78vhv5!R9BO+1M@#+U4y>2P!6BXF^(75Ve9_gaVZ z9`w6~&Uy&ANP7gosW)}VpPRN4|LU8Kn71v}W#e-T`=xu9n2vex)`UKbua9x+#BiLm zCQEVPrs-VZ+W)iJDbCI+^nJl3_|rV?#!Yd!{@}TI<2$AZOf@-&#*_}%j;BroQb$mVdJ>hv$P;dFCyWy}WxH5F~+uwnk zrC%=vUbYSCPq(OBsyyH9a9iFFIx4vet?R`(eHw*cpVUql^NDH^y~OyAkW z;TYtRnnb_rny#KWIyh>t(`P@CKh1&KH0~NBKfI#vvwEFBaI-cVb=xM5!L!V@8TOi* zdoeHjP6FpX8-TN6xu#=X2bc`G=Ok?bG_*fQQ}%-z@A(-;46hU*vEe(h~FPCG=g0eUWdS!{w3l;IoVS z;Ag!$PywIaiR>=)iRNuu8+;zx1-Q){PV-KQ-UR)e^xmQZ2hq3^WpK}7NwiXr8atV@(@=?Q~S=H^5oP>ojlbA9b9L*cl0270L%(d%q6?zV!|14D`IG zZdrf8;ry(pUipwcI&+;-4rj}If^R+~K!*kVFv8*LdKKVe#wfJxzX~{K)k04`w(AF+ zXT2MolEIfnDL*sL58$@c5aKVLKspcUy~iXLLOiPk`aPVl8il$fU;c@EtQ<)BYx~mg zz^3^v+#h&a1=y#Gy+archHCQ%*Gd@0qvC6|I6&Tda6om#JMxbb$&yaBG2 z+tPr`#!u+H3k;5NxO&i#?94;oOU35V8ys#vYXZL5zXg2Tr!?%;XF2%xzkjHHRxPff zGprf$tFFK2o_Wg!ekrbfG#D1ppML^hr_V!uP*FohGrAYC!}R@DepM3nR`jE~VfHP;ymnIV z$rRIn_5= zF*B_@`>Vl@Z+^{6_UxhiEg!oPep9!HgC`cyJzd7Mi*okZ9Q0jDwV?gsGZtZ9m8&86 ztc>SgT5%}OLH-rx54%p^QH+0~{>(frb*x`x%L*|mptd% z9I69y&yTwtF8!W^Z|-=`!COVZXW<>NF7YHBewIlo+a2FtYD4^d`5wAw9hHyl>`wbA zyLCmss`~}rQ}{toJOnR?|MhEce7}|NT9f}deQ%e(6L5dv&(D$mj3n%f-q#xWD^h+S z-K}(=G`03Far3J!Lx78Wp7-K5KO=uxW>1{>c1FKW|A_d}YoEam)olvwH!nucaXRc7 z@zjJo!1)9p?4#&G^@mlWd#{;4eIw@m!*d_2w2kt*RyjJydr&>(xfc??pw0rv=Yy&K zv$|6#-j>Y-F21Gr3v=Q){LEH7#XgE%o^x;-GLc2tk@0UqL@FucT|2xep{6d_NXo?$ZKEq#wr zYCiZZdEYAd;qfr&*q1bqx-xn|iksJ;&VBZdz8k1sLuUcsMES*PyURlqsRGY0%@l#jMKz3)igXuQK!8&BOh z(H(phG=7G|MNRsB*Mv=ny{1wV0*rO`{jC>b%F8F%4=Y6sL5Y!**L-pTuX#*X8z5>>3KRpDWd6B)!w|x}+d~!SC z_t%o%)_OA>&hNg#vz>e#t$ZpFhpce{;t$V8b!^efMviZP?gw1GTZuZyUi2L5)+^U1 z0T=Zu!yfsvAM)2$rF)AxJQ28_P@3v$UYgHvdM~rf>o0>nL&{+N{N#1Ar`>qmA55^t zGk+IH`?YG@YR6~i=sqfn=Am(?v+s1c_DLmvw}QlPw``un?LCSIzKDK@R1eD{UwDxa z;$O{yR`s8S?|~-DbG{TV4P2DI9FdZtqh1qVrP6n9v$_9DhszwDz_VMUsJ=a)HObAZ zR1A&J-v+q4@oGBkc};aq+-?Hgnw+?o+PgVmx4GF3I6Lx!{Psm@;G)k0;Jjr;_}Q$a zd#N2d6>%%KEn4UFbwVpz|5Lhm$;HvACo*$3;I;yNhZH-Su7N%K$X_v3DZl1FR1Q~O znP3kukqL1nJDfP+a5H8Q^zA;XPkbHypB3Ll?-zDB-Sg$iFBhg{@Wl)XK7W-Pt?-Ln z<#64)DV`Opi`KM^r~O(%??F7cC~!S{$a2TGrwJFey8vgg`zJyFOk)}!PWNcNYkdsx zZWV#caI#Akh+OJ$?o|!AcrgL%wM$#meP9jUXLybEgl{{8yjB4vN&ij?aG58rg>QzA r%JdGn_3{SJcdU|4Y zk>%>}a`nRf%T?y(!iPmhM}`jVH7v4kn8SlY2SK4-}R_*Jo={d#eLiT%B)vb`$Nn-ckFiQE1nP zPNCftdyaOy{w=jn-Gg>}|32F7&KGDG9jL!}RvP1)#Di$pB{$r1{N^F`H?taEbK{z{ zv&8>sHQH6Mr~P=9tFB#_e^2d4)=~SvZ!o^7wvY60x(*(l`uAUsUoZ6Zf4Bb<_-}kk zI=M9{+6Vf_|dgF|z9zdjsv=sh!6cyY2Y(k(_s3 z$$Yz{xpr2c=Fi3joN>6#UFx1IW#RRwT)X`0G4%6}!Gy2>8g+SW@_J{--gm#@O0lRo z`s-4MpQ3&t@vQ65j`TYYyNWv>x{@FH>lw-ya-VDGM`!)z>SFCs^q1Lky>@le?CZO( z-HeUdE^f%OB z?L~jl?(37T-L8Fh7WSnM()g_ssQb2tNk|y|L8f_;Wpt8>0IJX z?R$nUb-29yHSG8wzX8_)J5qpuS{}Id?gm^O2?M|Odr5ZBlgRH0h37bX9^M9Z^QaKv z`6f;V-sC>nck-qD(!2OnhpXn#fSbV9mjg5F#^>C0hckT-I6L?2dEirOj&Qi>`4PCC z*AIT+lXAchEaz+De-#JZz8Ih2?B(2(P^vxLkNU-r@GIr^J)* zByiF35bV`k!qv04z*)?b8PIc)=Eau#V!dTZ4D8v`TAp`T$`FGR0%p`lh<6G!7HZS$h@hwVOHgF1fF1`bgUGO9IYvvQ{aQVYmG;YI> zST8a0;B1HMk;%Z>hQhSI;qNf6*tMScJADeA1s%n@*mtdgi{p)e%Ur+Day&M65%upx z`gN)H6CExRj*y;=0oQi+9xb(25=R*jP_SREbL_x zoeL&*8|=m1#=u3?B-q=~leB*~%q063iwIv?9JqbZ6F9r|BXGShjr=Blf=>Q@Huyod z8v;MG0hAxi+(L*ec|H*PS0&PZQ6aw*-^Cs)oPPOk9{H=@HuA^N2|XPh93E$+5+etUYFu0u^Dh3l>mRL+zV0Xp*|M_-FzB!4RZFX^EmJ-zkkrK zMy#Xw{DRSVRk}i#>briNv)7+UTKDkXZ$?#AI`MuLYI_Jbev zv`WxphOGuJDz^i!c6X$8Z2gMn)owp{cGUX8fb5@arE%jskpG*kCwoEXshYKVnX_lJ zLxAgF>0ZFE+yIa4Nc-1ZUJM@5r#s?}kKRK(xka*XoZy=gS=nSt29>PoH&j^B9y z1YDG+b3~op0v=l^jd*sxCY@D>Vjr39zmk2gW5DIa6xhpu3Acw+Nl)_z&?z2whCNH# z23&V~kMm2F?f~3=kq+FP_yRnlbu-{R;WY7#$cb^83LyK+j|oqG2YbE7` zXuY28MclBJ8vSIkrzwG%^A*$bVEyEd4k&fpdBmsQ^fm0X*a03pE(gV@s0LhpvWM`2 zGoYUj-bMDeqrt;7rXwCy?)JdNmcGE%g45*x#8lvRbsw_7J&ocg&t>cjUC)#Ma?QiI z_I+94Dy={Iu>p5!zAI}Hf12k$61@^}t5)sAzR(StU2yZ{eJs{jOFC~%bO`(*A8bKB zXFV?=zp2^tX}>gnh@D+zn0TZ7*uoT2mL zZ9URicO~|_`ZowX{7_rUt9}}#_%APTvzbA^UD}EAMA&pXXD^fhj|mw|dT;neB5n_C zp!udLDuWgBCvWl{>2Erlc-B9MKUK>(!Z+MPsmI4IcRV(T?th}z0oV)1qa4m7Mu3-> zw8XPNFZk68Kj@HGKL?LG+Y9TfcG3OB<|F@!dKXDgbK;c^4S0B|EK?l6>Q)l{`JE`> zCcF&pQCiae6&v@HpJw$${M!-zDc_A-fqvqL8>67}iyF{rej7&RjY9CJ<=GKuwo?O? z=4Gj5XRo)=y2z&#r~Jet=r`XSr##!j7vu7c5lMlW_ADtF{M;*$;18+fx=y@9@FB*n>k$gA;_Il+eDt*6N3O}^INpVw}-Vu1MH`~RC~jBZ>g#ySUzg!G7PuI==y+wi!}-46 zhE!yFF%N+Pcx2b!})m7nP z!_%Gp*?+;ymjsi48h(TOiOl*5;puZx%HvxppReo&UO8|G{BJV)O2?yzpF~|x?@8so zBJmCvA8TV=Irn?u{Go3g?9&R;e6pX1etD`VeJ{)#N`5HQ5qkLOz`@R5eeHRFS-u$h zZK*3kftffvmO|r&1_2lI0wW!6KAt8&CuS%6ttFMiWjp$wl73NGPd&BPWXCTz&W9eZ zmcX73De*n{H_-l+TLxkr)21xqL}j^&d5OP0d8_*mqa2TTo`-n$H;27^@NI;{&7F;y zmzdB5xy5N8#$~JJbc!GM5&q>H;H>5QP^Z&;@CT2q*`L<^Rf91OXRET& zJm(c6o{wV|I38XxAM8~HFYt-HeWGDsIhlA;4wJvXzeV@1&YOYT)#2bb+xrc|xQn7; zC#Q@8uD{LJ(($vS^qr+j55#aJ68_ciz}29WIH$Px zXy7d64scff3H+}%4+AdB=f}L%oFL%#mqx(tiT1$xAD82uPWiYx@${o{dDWrV*ZkkI z!1=A8z^}t6;v8prJ?F>y6w=d{&P|iP5%Xnh>AuQKbfb8<8cyr?%QVbamtBW(RoE=> zt24#XkB|5nE~!VILq8tA8|S7TQxW#M>J{L+LVKKd_El}*=6Cw;li@*#b5_~& zUA?gjbec~qAP?I;i->2?P2x{|FxmM*)yWGy^Bs%)(_3R-^QCmJmDfH%r`>mH3D)=9 zzhH0I4<~$GHHzl|`rb1&I}?7Y4(@5<;&9lT@Ng;%djmK5(@|&MMJUg#iyiIw?Tz1o z>v?I=!ygx+Ul zPP&J)53S=JE*8X6Ud{S9^oWCveI2eF(YbC@4B|oLE3bf0qjz-Cmjma)bEXD5|G)km z%8-A`>;!I}EPx(+Y#QaS zzkeh9TT_u&RT;`_vTj!5_sK^3%f_P4vXnwURcj3VV?Kt^ePbBCC#jDk;+=o=^@p(M z4?Oq%N1w$x{cLY6`kUN+pi74g#`z+y&^?Uz>J8ka=f--O^P8yNyDrUR+W^d0bfY}1 z3wsehy!~j$&+~pme(QA>u%Z) z0B-7ZBA$;Y;AipaQ_{08fbea}u-Dn|62E8-Tok*8d?KQ163@C;v@Y|#!rgq$fv&*i zqjA7l*At#RNqL5sT}l3_aslhe&o(Bz#d~O-D{!orj-cP4M1@Jf#e!>ee+cmC>q2=^ z_%P^^gP%hmPa6b2Gr93{=Vu*Qo$$l;QObe+aXzw^O|gIY*(``d88TxF>>EeH&eqR@ z_2L`65**GRqyT3sKds~D$axO8RgMA|LvsSRy~ZtcxVrj^?C-6C9@VvSvct_+bbn=i z&XCT;#kfDK7|%VUT@>bPV;0WAxMya9N2QM<{{+;5y$!ezoHv<4{@Gk&fwLFw80Mu9 zrvo?J>n(P;?N<=E8c>XMcC;xD*8v_q%MT%ssRe&e1Rnez{B~PITAy+yGx5`W3P z!1dhbKRaC1uR;8EH`2TcB(4VDc?0R}aRG6`GX_p@IGA+?2blk6`Zwv6S z{0o4q1Jye_dr?{em+5qG;dw_-fzGkyA2ZPN9((B}_Jyq5gLEFJ^NLSnRtYZlO`7G>h&26KdPMJ^` z{CxB&;G%5CBIrCu=csu^@3Ep+fo0C#E_*}cw%m?5*MF2lp5&ib0FRk-4LBRF=Q|!< zsS)AqI_0erJ{ufvQkoFYjZ&DG6w|P;+2Rn=nSTv%cDVaA*q2xVobT7*6A7JXf&Wwn za8}&2|B{ooJ6uHe1TN=PLum%}!2N;WqWmbQwE}J%*T6e~Jr{#I|F9nX>c4L>FOw#z ze}f+hZ?af{e`^5hIxYtDRbxA2Ux-4)qt=xpzAxM3d>6Ip`+==ar~FVZte@kNZPH<< zzw{@+Z7m%N{GUs}ZN)YhFkZgOlpk^mjLTXlfIqX^4Ho&ErM0im2dS`DYRRoVbABuK0z&E zpNd0CuvcAAj&r#6rghPApOLPtFX-I)=Nr^Ty}7U#1zA(4M}(FEo*D4KZA1}#@5tob z)PK_);7nLLm-Ev54FA{*d5k?7J`g-Li1bBWS!!0wU+Xa z>Phd+BJ@Y_^JN8LuOc>JT+{X>&M(%qF>q0n;!Ovp`8pn%i_S~4XA|lF#S3{!=IBE9 zjp=s;by0i=J$ESn*^7%buUGr7?ak!TU(JF&|J|F$t)J94(CPg6l<;%(u51s!+Uamx zhw^~(COy`#JKhIuf+v6G_UxCSl|!7pnOueRbcsM|*Pp@u;*UJ}Et*OhP`AI+ssEvS zhImW+o@M=%zTZ#AqQ89OdH3DC75mQSGlUJI#gM`zW4&b$7y>&l_7RGsd@o<;wC)zx{u zR!d!JF8e``E}MvRR=t0*%Hiz3KkWJHb+FgvLg?IoU5fPIeun(1{`^^kKZWiqrW5@> zENz5;y5sqIG)dJwyzkcX?gU^S<8e9p&2|l$X^%GcjM$di7Y$cXBb(dG{#h zD@!I$ar#wH(#iZcf?uEbxEA(DC_k%bH{b`owfjnki{+ks!YJ~GxZDBfnknCn_!o92 zp60n)JA0K@2=f&_tI5v?3SeKzhn{m~w;y!c&gUYXy{SKhc)}SZl@ z`7KP(gzbCJ`S@Ky%3~t~agSn2NyI<6H*giu;3vmpG2^V2iiRR*1# ztS5ahvkAXO!T!5O#J}wb{BJ6h!Tmv{dd|D@6#uGKaqM3awi^64*DhMG&7%^*Gm_37 zyvhD{LL`n^4ljbF^9K>_sd3eldB*Lq97}4DqRNw5XI&QJyFh*35caw+eP8N7@6z`|(dOib z9Q!Gr?V2^vIq5st%fnBBs}-q;2Oc*GxXDld7bqSV#kjI5?MFFm7wp-sjdZX0@&eg& zdOx4ao|f;>B*d=QN?b#N(>dx)*DSdzUVJhwS5Lko~5WOPo%{zX#5m zpQCY(_=crB+$Wsst9___Sw@`0bq6{Z*rH#6%P}=^jw`L0cpOz?;BgOIa37+5i z>h424%lVxt|K!Po{`yW^tQT)`W{|UIO}7*8HxJ-fmXrVNaFx3e*;n$1ew{K0{#4s3 zU#LcZQeL`rVhVJI(tSy6X+?3KyBfZmRAXOSuj~D2oIiUIe{6NsS^YKCp79~V@vv3_ zWLJ@X_m|s>#5i1ZrFgJeF2G)%TZQ|io<;Wr6UJ!1AJ*djY_rn2pla0zF8n`j>*ggI zdF~05=pH3&v>oPfIg0d|9`t`EeAvrKhnrR8PvtWcZq!9Qk4 z5zLFHkxsj040JMo`oB2dlJ+T|=J}o1e-iF*@&Vl&#S40$XSL6Das2YP~}tD4DpK56jwtp&UHFfw*zE-Y#JtqMRvwh>SQWgVnAqQ8&)?=J`yb}fee6FvU-(ha@6VGH5dY>i-MdUd`rVVS zF!M04sdVqs%jy2k!>YwOTy-M<>oR}B5A1BxB8PL&y_XN3Lh&* zc5m7whnrj%ftz+Ufs6gwuwMGD7j%o9t$_2*x#1sik@kx^GnMS)J0efY-gGY&4e0lD zd7;co$1hrWzWYLRL8lmTANj;Sp?ifoM(>U4eu-q*f3&2hIo%u0yk^LU@(R6c%a{bj zxk_p=&)M6V9zQ&$_e^0XLcf~o*>{n&f7y`pQ=C2TRh9TtUt*t{=t~nY?$~$0`F(nq zuxrZiayY9)=dYPfd0keiqtYGT*z=uuh2HZW^3!jm2+ zI-GB$Jg+AY$9%=yc)UwU&%IPPNd~U-9FGmmv{y6fyN`YNh5U27Yp}!ZZ=QX+p)7Ej jecdvL^TqT%ChEOGJm^v0Ne=(t-~T-DKM(wW;(`AIbZt5f literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/14.npy b/MP_Data/pose1/0/14.npy new file mode 100644 index 0000000000000000000000000000000000000000..bd7554c98902ff29affeacc9742283023bef1bad GIT binary patch literal 13424 zcmeHt_g`1J^L140T^Dig(LB#?V1Qjbp6tRoF01~@`y7sPIY}hNS zV%yleth)BHUvh@O;Q96W@Jn7fIrq$DGMVJwH;X!SYu~A7IyRO~EH}_6a6mx02E3g6 zpnB!pc)39%14ajUkLWitV4#o1TX+u(^hw17hj{z@r1r~KuT!UnTLm{hng753Wn+x- zH~hXwYU`vFHfSeIcpRVFSFL`epdU~j2_|t1oiVxODaS8+JXfV_fktjH>|B z*PY$&Vf@f{jEjsj==l;fF4rD`eZAy9>4X=)X7$-t8h2hDyKSH6KZ?Q+@uTTYJ1(Yt zA^$t>#Pc#&0$L|!{e3$wZ%}+p|8Df$%kwnP*Zm$~d=QO`ovx3ee<90L+X|j|(2kpu zY4cxP|1XQHas0V$b-DHMPghH!`1fiK+^npHKJzLb3mxBIAK2E3Oi4mNGW4x&&GDw! z<5OGyXTFOVkH7dD_=co+wq=Q}kJ@pyto>Dt%a*V&%4Ge7e!;p=?6_FcaGUMxHtS%Q zJKNsdJ|9!=q#alPKDliB=C_a6fah5C*|ySrd}haG^HIBPUoY~-^P<=>JTGUoyJW|C z&ZF1uxVk?Y_MId1@w{F)>XjX5{i6=saaN<-8{0awG(8{q`Gg%8YbN4(-7Od`|L-&W z7cw{OJL_5>#q&vT9@$o<%k|N=G9v#<`@H#Dc(m<{eC@IR?C?U2vxX7T;5AzBXInL= zz!Te=A*FxX)~TC!t8Lkztdni!=MVR6t2&;=I2%;rxb5?o?yYPqHh;qN>e89?BDL@2 zd4zRSDS^c?-m4SxM_tRC!Hx@;u!j~mmEE#K=S~^qjoH#3<8t_7jI)gM^V@M}Us*iQ z2ghLCES-t@>WD!c`UMkUU*!0PaaKPu!Q%SJxiWa(=N9r-zjSjE7C(3(-s0xSh0?ZF zZL?xr)e!Joc6qWeJ{4y>YS43oT+#ByE49U)0StZ7VFb041~0I<*z*E@ve7xH9V;R& zZlddhXQmyedGv@`ZE;=Ojqu2xz*TH3=o|5w`g7JG?&3q(e9LD?yr_R94_ZFbCCuX7 z|26n#UkXXa7u!PpPZ$$B6fYk6jAfxl(JE)nOOOuKd1}bXr%P0etHh@a6I(;Ji#J z@bw46Rn4Eo&*(h|{w#V&`pYUHA9O-q@J;={Naxxh;G*iq@s`h5l!pJ}hzDBTE&VEs zt3CI?XI}|t(-$nWxKrl{_Jy;*In~G5$I2rWXFoQejZ>k?=?q#~BoT4u#S0O>vLjl@>kigSXGsr#M94(R$4| zJSKFIw^1hGe9XU;CtE2`j7J0D>X|EabmAK7M_s1p?)`#! z8Na_s|Jy6XQ++5JYVESorNLuslJFcWnjd`DYbw=~+?{B=+pwt~sdO1cesfn((tlHR zJm&RF1oTDRP0U+)*NL#WynmkJP`)14UB1t<1pHy=2zQ%Dc-PC=UuxSF!mIWH?s&ah z48C_;!t+ii{(r8EpzppIIL{dgT%GEHeAa*X0B3tP0XOrC!yi-k0Q}TlG9nJd6wrC^o&=#HSp(P4C1BZw$M6W+5rD`i|XL1zF)}B!bQjv z8SVvKS0p>e_0n>yqsO-aE;mu!cuX$J+uzeue6L-i=WdjOK2QG@eG%kMt^W$DC&luT zy^%%XkExdraTXg}K}W}U5FW6c;`xt8U-c<*%Olkfakox8>yNV~lyrB$!nnTqb}sz% z%n01+-wpGY>stp~TvQwmyUviKv|i8BVgJh2?T|lW6s;qlo-4}Qan??Pj_F$)adqA{ zgFkG1EaAU(0xmxd#5$^n>459}C!x<>8(_Um?t;L@=_6$K&2ixB)kpF#-)Y!4o8D4= zTihCa$F&OS=d4Qcnfx98iyl-z<@)-_D?RHya3vF{Zv1x_esZ5$6leFdsH=KXOUze| z?*Y5K{#(RTR(e0(#)o~41D{3J1#Th~og>?8f-f5MqID=WezxT+mk{coN~Zni8{}tk zng1fiVWc0;_jy0~qvp>ieCJe(&(#bR&kntSvym%+vz1j42WM+Ia5=RF#eao6aCSHs zaP$5+@w-dJlRc|Q`~v4l|M!ci+sd;LaLx7sH=CY=FCK3L&aVCfeRDQ0%KES4Xg~7E zHKdd1i@XvW7Lm^CDBvO>iRxH}lfcdP<%F;G0PaLY0GG#xVgIrZSy0E!{#}IUrE^5O z_d}i3pN|s$<12LZEhwD}Xz>-vM`Aw$V9TI5%(|R|2>=(T>)oLp<_^ zXVRpX&}+4a&4;Xc5ntV|Gg?;T8uD2UZb&+750L)B706FsrVinK9N>CfS@>@b90AVC zje(AwzK-_GtFDB983>%8ZHRe^eY=6n(*p?K5(U0m{1|!eoN~iBe|Mes#e!;-{~w0{ zcgBvSIA5uYzS{pE@z-3yzGKPser7f_Pqy<^-utH5{Bi1dQ$0-l1My&;!=WQPJp;~q z%%lC{TtWVuqB%)FcU9zx^G`79u=AGck25wq_8I$}h5WylmY*#;l787ol!x`3Ku6r$ zK>J;~g>%|*o0`7#jCx5nIpy&H1(7c}33bXoZerfU}Y7C9n zD@XT-oC&~X^hwxZxl1Dd#S(w`DV)`0_xO`ZR)+_S&(NYtPxs0 zId6>Rn-8>)#Kg|f;U^1Hem1>A`z2i&*p+=3Mth|4#lkM+&zn-@XKY@q3olg`xT>9z z>@3|x@mcoXL6K}gg^Bjkln;_&=E0S+S)apN|4=&jmV$D zXNFq7IC~g4yA+Jp)EkF+$?+{=Pt0mYd0TwLA67?AG?cGvR{&QF=FG4-8!!lY&(Exb z4v+6N)8gX6IN~2YOZ8;a@*s=zQSZRltv_O1Pe}*>-ZK($(RUj>g6_m^kH?<4KU?1sV`Yyt} zM*$Zz228hnwz&xDzr6+j<>PFqS90p9>hoiBHm12?~~1fREP0v&OF z8RBNb{K)?eEx>mMz635-cPIP9_9C7tYhIey)i%K8#cuxAPwBNE^WuIU@Jo&;6=HFn z;R)$@Z3C`?UQD*Qsx*V_&hw*r4Bt7;;v%j*aGvZ1+;ob^J`$51*wa~vZ(OS*&&|+@ zz*(0iWcT$Y@b#ri$P>AK2K-_^85et4KmU!O`GnM`R{3MSF(>+u7D@*(3pCQOAvEU%ZC&w}1&Wy4+7o4Q0g#UYo=C!Xb?24saz<;4Jv>A&Af1#?TRFFy+a%YKXI{?}B;i3a+FR+Ys{= zzWKmsk21rKqv<_b3||Xe4L?iquAM-BPNwtG$U)Fo8{1%gd9}&3j)lhq7o!UnvHoz6 z5X7177>fC-l>XSi{0iOcobr2+|J-K<_Lo#t|Jm*{z}2lvh_kbw;>jL72W~Dj#yyi& z4x+gI%!hgL2o1jIK=)x0-G$~`v-}%`X73~*iPS_ zbj6;8A9;oQiKsAlPFXuUMeYQR3!JE%UoOS7Wgr6S{zGMZ#*B_FQ_hNGs z@I`)lf6*nw!FTd+1}+!1#QK`B4&bZFSAeU`?sOmS?FB#i`=Xea*;g^l`lEZ$d%e!Q zgyxa)C-T<3ngAWAT~GLJa`0k*4?5$Do z+qqMiTJO5#zoPp(J4)Z%c#U4GtX-$JA9!YX+V2&A$mPI26M^$4m(jB0FSW&aS-Q`Q zs;w!1-zCCN@#8YZzf&^i$5;G8=i~aSz}5ckgy)zAf8_Tih!4AZ2)IdDMfcva`3XPt z6}amO1jn7PiN`?@bz-~UaRZm!M;5eva*K`)8FuPty9cbD#6L+Cw@J#CNq@-^Fite#|}=U_5a!*?@jEmJN!_)a*^K29f%u$_YSxd zG6v7dgd5Q|&fK>aa6Xvs?asF@I3LA?rr1A5<)ZxTdUA*5n`eRGvoEy1^6I1cz(dyn z*M|zzI=+9s(BdLA?RTp2^xaEs%&-i2wU1=C{SKP%mm@J2=ZEP2%J1Bz`FZ=ywz!O? z-^1jYAk3E~)L&q6^JXq|#F5FA*UNi>&l|l2?sQ!M+zCxwV)^O~!@N{nB5>X8@d}Hx zZ~1`pQ&c}x^-61CH-8t>nRc4$+c%F;;OoAV-A-*Op20)4#dW<#q@P4}j-MK{)8f2A zHQ?gMUhuW&(+%MJY$F|goAP4b`6=LgGyu+<)xdL3r3JWGu;yien^)mvXYEwF57dyr zb#PnazbHrdrN{u_O!x!mu1`A0r~0EtHwG?l&LRGa_jtck@t(k)9?O6;*{!?fo1Wps zpYe?N=Z2%6h}RS!@ha_m?3y#!7bb@M;df7AUM61|>_>Bk;v;HyMEpg$+E{n7v^)9P zFB9<(hm5dskVnISt6S;O>f2{g-^{BJ^i2fqd*{ok37FU1Lhw&-qH~_7l*Rg*9W*bq ztv~dgRTm;HUo89z9X{qL@|^8jF~izbxhv2-3%md>{k)MsEZgtEMakEwTk@)ovwYsS zC3Ix*vY3||KHlHzGu00`TN_8X=rPOkWobH(SsZ<5b8?NJ3!NXQ!B=Nn!;T7w*<*2M znKy8ApenVM3Lp-ui3jnIQvKn53Q`@I6AWD6-2xpmYfLzFx()>{D{UnFRh+W8=~y3q z)^Q5vD_nnD3B2-n(yw10trN0oYURomM)Rv_Sb@8&>x((Pdx?c^!aO$#bw#M z^n5k1WawV1yvVk~*8_HWXdKQf9`VOoi?bS+!Dk)^5NFf#&@_wd1j=tVB_rbL6zNU; z%Y>U>B4Af?pRfXz_bGamNm3a&JdK|5{`b^(HWuy$Vd~xMh=<8eby~3nC#JO*x zi;_Pj(%w5xXGDDDRLV=!k?#2-uAH0IkpsJe&rj`u|9a_>F7Rg~1&8 z;yMqli-@89;#`jzZgHm-A=-`y~$#j!)&Ak#s*06=@zKfxhFZ zOq0Q5n%>)Z>84YlUp?*pc~>C(RE6BD^ei4iv=F}|n{`O_;3 z_XIUnthYFyO7}drh3*4-ejz&dhnEDOb@+k(&L3o7ZTaR0)ji#EEp+&|&-vo5KU+e` z?lt=Es)A?I`|PO>(BbV}C?6gTKz%SZDiPi&J8=DR4D@w$I^g0$1>#TtmCli>JE6~_ z3j$X^TjCzVGSdGgG4BWP$2^OrbEItA``e?1z;*IV?04-}96Gw$6~u?hJJYQH@g~6B4A5cw>Gy4QF?2O_ zvQivWtv|``mv8vJO#E`6^z)^iOA~JIvwU`!eqU5&0^pBnuoCx4v2`%`@`<82yi8dV zpGwy~=su}x7eL;sI`wdmGQ(Gq{um$NENA&GR$s-`rTPAKh;$Yg+huX51=R<3WHXJo zYXZLh)STw^%Roqn=&h%JFLwK z_{*~=(f)na5PiKM?Y#Ok2>GMt{tG`;(Gd7=ZksU7qYm-(^qe%Wn4}osIcXh5p)-i5 zbHfw+R3D={rd-qh-=VJ;<^TR3wY(akW3y8C` zBl{-HS08#2zxOBLvd<3WgDyIa^iQ1zE|zVAj()x!xYPA0t=FxVh>!M92F_aCB7X4w zrB+|OcuhJfSt-tqdf}eKBWuDRIfH)R5S1t5-X;Ei4897Zc{#DQQOCrIwD=_7#5mvb zaA16@J}>QyzBx&GA#Vpvx45iG^-UBzOnR@I;2d$D#!!E35aqMaKic}qj;Ga=e#d~z zs<}|lO^!U^>%tweUeZ5uu;rWDyGf^O3g(geonxoP)#N6?ovt33uY4VZc=Cg3_lg2Z zs7tDTtR>z#F1HQAq0L6dB=9w1f zP3V1uU0(t_Ja(GD#hvCE(PzF?C*<5NwC~QiLPr(&kMcRZ=#Y4;)1KZtOzu$1p8~f~ zXVjf4#Q#-ceR;9WxKE1Bw7*nFU(^F9;Oi8t!$K&p9JfCy{&`RKwYYe?20Hq1+W&(U zS%H1Wmqq|*!^u96zBSJJ&yJ4)F7~v7j?=Bxbc?H#bRRIIDDSw#a1RkV_JVJ!YSOFX zkNB%v-_UpbPLf{Lxl62$*k1^Jc{nrjQxy2v)cPrJ(EXXmFT=c4ST)4Qglz|(&#nZ2 zbj!*($DO>2@M)8P^G2HL*swFenQPkrKWu4${AZKX?p^#2#zo*os;m1Rq3^tm!Mf=} z=c28j&d9X;=z~1KgUpc=aacS3;82s8Y}CMz7R?J@0$QO z^BzsJxM+17IQvo$xXRdr)@yYZ`0e!VLVO6Y*Z&B3Q}BJh10&6 z613Lpvtx}(XB~Z~l5cY3TxNG&h(FSg>e8-tIFIC<`|wAVrr$rg+cBz#+cyK3wdwag zc5%-_t8b!40oQ#((kCM zVKaJ<=rt0!c~%px%5W+JXc=vB)h9dFkx!uik2CSxS6TdjfB%cX|03}JNd*26$z?o9 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/15.npy b/MP_Data/pose1/0/15.npy new file mode 100644 index 0000000000000000000000000000000000000000..5fbaccc66bd9f6c893bdffdd50f4daf210b30628 GIT binary patch literal 13424 zcmeHt`F~Hx|NU4RO3|n#wO(sbYwcSzwbZ_gwU{VLsVyXySTcyj617AKvD}D~+Dfdo zBO~t=%Vc&g(Du{`h^o^UFN$nKS44oaa2}IdktTF&+Iobncx^j1?1o z2Mr$c-DuxNmT!~52EJ7--@uWhLq-RT7%+15puqd)9J`R=>Po4bGK?)Gz$IpeCo?yUtC6i)LZnciDS^OzVh^Y?WOO1In`))VS zvTQj0UUmfI?X_XQn|>J+bKdmp$mXzb-J6H;YH_Jd)34Wt?KAyq$)Ja(b&DlpytI1K ze!+emf43Lg8L#Mnqtx4Gy!Eu^0W;27^za782j%ZVS~H3wzUGk z&U1{nt{%@W4gdb8YZzZRxTI-Cj&{f&73iJA^jlHM*A4D8Tbu{H#}@KNuWXNgHM%eQ ztqMt>nSQ%KS&px`3jLz!Zp>FcENGd2>&hP3SI%qn+iTA`1{aa3<|dCYg^PsRz;&n(T9L58Hn=@F8~IO1p|vXXSYUAL z{C)VTbw0FWcT22;GpiB#4UPhLZ!AeLd~H<&?uPUwzh+D5iwdvEyOMyoizX}P8NR!| zAD@rsN2{Mi&45njha7*r66%AjI4H{CV)ehk^`efK{IVXUfA-nHy~x+E4_z?0GqH9k z@POQ$Pv&sMK^%CAdFjf6`2J|%s`Xg-BPTqEzH=xJxbA;(meH|#|40ANZ1wOn;g8eq z4f!X}kYD~9_-Y$*x#JCSStHu$$YIpiVHJ@NdgKT2MTNhhBR(4hT(-*=2LBVv!B2gx z8CoeHtuVNK_zLaLCvNA8Tw-uNI|chf1hhbF&)**IXZSrfTrsUG_Z#9Y*PNSf_^PL; zPDh^sZrvL@)8L}^2|T;ij-wT|>N3s+O5s^e=}3Ov?;;If7s&~K)cLjSFL)-*;POCS z*me8A#ClnaCF6X1GyOU0&GX@1L)djo?8SH)o(s56_-ekPPkzKNUWm!&T* zyn)}&l+MIAj14n7cCAIwcTQ(u-m*$3_$j@A=Q^Hf%ysv_x5)7I`gGv-rwf3~*d*kk z?L8g1GhP9=#$5nkoNZ71$vv zJG0_YPprL#IIrYl^k-7fSflTRw}+11$q%@-^FHEf)lDRCV9ASqSv;xQ_Aq=|Jc51% z-ABJYqdxLVHpm5BE%wK}wfBoD@W0zAu6t33>*8~d^`T-Xziwm_8A1k{6E-SEpicvq1zx!X#Yd7nM)20aHsp>P%lYT>8 zb-nY?K^*e+gU>e}yEN9WV};LGiO5NDnI73!gTU@F%o zX9oNi3yY0}e&;{nr+znragJ?*xVf+916Q{r8K0z^@Lwc<3*0HU9Jqd25b?B=W&*c= zZ_POT*?@6=Ux0YGRPe32+!xlos=!6u3F=H=13#T6yl1QGyMfz3{>pW!yM;Q*MWL^j ztzT~Zw>NV?>d9-U-^q8b!FB2)>hD+y+|8WLI`$>cQSoFMaB(RUe3ibC`acilxp2D* z>X=h#CvZKR=ZKurgZth0AaM86OZwR+5p~JxkqTTc{Db}^UWHvz$%Dslqdzr5F<;SV z0Qlld&R4Bez^xB`s6X%!`3<9?!PA(h$`bOmhzpS{4f(04hPyNw4n+`Icr#1mkmfiy${ZS~+DLJ`5a5tU% z)VVL{?zufZJt)h!1VZ_$2QjUO5oB927%8_uR$4um)G7ojIR! zUnrh;&e|ayw|_U*#qw^5XEBfWEFE$W{5f4$X zJmRTC?*n%#&c%Ll`;qE}8rU2?ijfn8_S$Jl40bWQj#D+Cd*-ii7{ z2f$Am(wu&7T8I5^H~0` z-$!F#e6$aIr$-pu1$(ew+BX1vojRX7zjz^@?x1M;)8rQWvqj?mBU5{0KC0p&u0x%- zV~xJN8UNCL0~KM#4{P%Mi5EXA0t} z^YGp-CQ0O*{d=}mhA)2NJ`%n8-fHO`x9( zs@le`Zo=;Za%K~*`^7vz7``sSeP<_Y*cSyRVP5Xowy>v*v_#%o{U7&&&f@Ecn=HPJ zb+2~!nFhDwh9d9ft2NNE-~S9;ot+52(}i_g)_ObE@YUQG;5&_8pkJ%kqYN&$u0mY& z@kTeyvlwuFLP}O+g}#TbI^6~HQXPC38{GajFL0+#4DI^XU_IX!2wgXP2(#bB_K|v3 z34X}_aq!=n9c$J`;4(OF3Us2Qfvd6HFRERk83uRTRii(9c~4UfYwT|J_6i% zsdtI-8PXGW9p8fR!=1I6`=xxfmL?8Xp+AU!`3ksl)DVN~Lz4Psf|w791HujN-15Ra zWkO-_b>V`G%zT|eg}|4qy`X2MJqj^=b&&f_g`VL0ocTse>ZD+Vs0pBuI#|K-2I*k7VG>%aZzIB@60=ZLd= zD*}8s@eXjkwhrIxS4;qIb?{~!R>p&`w(z~f3h7Gxvun7&sap-m&$kmgmYa%ug6hF@ zU7g_jzV`9lmy%0@uU@VN-_BhE`l9av%-8;F82#~DO}i1H%;O=mF<)!HAM#Bd5uaFHB0#>7)cHw7-g<9naDyaIV{Z!bgM z+FtNS1bjcr@a2RR^gsVi>IW{40KS9gqO*7v;v-r-LLCrYiorsE~Uy9LQS~=iO|0$T4do+{yxK5l$H{R#v$c4a_ z909(&up;>O;0)xwbD}x;A}JnurGjUJZ>O&Zu5xz6`pS`A!Pjff0Cy%2;eB{cZ}=%I z7w5jX-ev~k{E+YUcHm<4TSxMsKBz@gpyOum!}-pP4>NpS-WPV|;q}0+i*+VK=SO~@ zan>B<`sVF|d=`fycwQv2{)j%gyMv$p6zi>SlkbjLf%||Qb{zXrytJ6lJFm>}GjX0? z5q90Qioj*!KHLvQ$Qbx7W*1|d*b4EnFC^gES;F<#<@>HQcHO?ifZI9v9m~lzFb?dp;XSan9aO>V{#_5*`uJ7Slu;-?I&UN@To%f|u-y=Ty@=@4Pm2x0HD(`#n z?a;FH>urlD&1DI;=0} zCV$KIiALW!&G^{%1=x}QeTRFm@;!j_+sU;Fe6jkt?PvJ&2O+*vG-2Kr;J(wrJAjKz zwa~gDd$BIo>W$ji5ZtF3i`TOI1+9_}Wcvyf%DO-%la&ab-;X8=_7$A4x(y*+O0m7 zak#t(byA(12;7?X6Y&l^HTXW=`TTA>)=k&{jO+C_A8_ZViNu$`WPKjdl>TkxdzDOI z&w4fU32>)Y2*%j~cUPD=+ankkC&Lf@YMdX>$HvXDe{{_P%(t6Iwi>?MYz%mIG}qTX z|9+mq)$#=DKP-xMl-?f}8e9xM0bKl6fOrp|B?i}t&xyxvfj{n?KUW#tZpC^h_Fp32 zX2cwWJN@{3n0PV)^A&rWEdZWxF71924qV+B48Aq}F7>zZz9hPxi-q0S?}6(LY2e$Z zpDi`GoZ!tmQl=dIR6821Hn>%@JN3^WLmjgl44r0hyYL(8EN=@xRsCSw;7;2n&~Zkj z0oUP^k`3;@u1-A9F5uSDXKR5!*#sR`_$y+uW&k50NLKLCB^vZ&-GHFqk+pmN_7N2n(J*9m1N%aZ3;^Hik;Zw=FUI{?j`4BtcV_&b zG{?G&Zau))BRuc3-(DZ#XX4g161X~*lkMmj)HkPt#exio9fH?du0N5p9Ug->|=h6*Wm{jjen~B zvJGgPx1xX5%5z@s3fx=7)BeC^alRM0fAyPf`0l%(iAN?v&wB8BuE9mNG~mvKw!pR6 zyaRanK;T+@iPj!)74^XyDDkW^J8)e1L*#=@4ac)s&ENk-(EBLZy)l%$)9aw`o~$+1 z;POm;Jli#!_{NDR_)=n>=9{`03oIb|p!jXDb3> zcl;&tbN0$G&#GVnyr($jzJgsjawE9=Z zq5@w=d+-tqxL$wVUJtvA_`9KdCW!Oxnj7b@9l`fxS!gWrT=tX{GvC<3u z_BFUD$UGOy^SjjTd|&~2PKH_oQeCh-cT8QJM1xZtjpzRz@JY%^{0IraJ_9Q z^wqy5=#STC;>UL(KiwS6OZO)8&DmWlyU|g%5{d;GF3(Yzv3m&2WRY&(W zxRamXH=T}`fXjm)3i}y;Y7Fek@B+Za%jd{9<^K@4wQfJ_!1;o|8opbV=eoPe`V|+I$SY{-^==g?Kg+b;cgac#6WGVcpfe0^{LNe$Gog?hd}Sb>;XJ zqrYr4{1o8}VORO@#yR2)W_@sjUtBQbW!)->r#g9?^Ywqs^RB^zc++ox;W^Ll#a{ux zc;}x?>(pS})K%UGbm@{f$K~#l@Zaskd#gLHP=ev>mps3mYKhRX`ex=z$-=GAc`m3I zHxW0PeI(v@+#wyHBRb{uaO-{^;O@aF=&Nc1xE)p*xbSI#b3`>@-LpFt z1#V>@fP0AU%{rjYT!laGzI2=;@_2j1!5+f*Hv3gU?)Q|Ez~%f?h>zRwJ0Z_nZV)2$Uuf40Q&K3V#E@a_525C_M)9GjBG z*V#@2cS4FFZ^di>weTl%C2;Y0FmStS>y6M~S&!@6cOP_g{mR=6E;c^`-)*y=>wI}2 z`1)=O@>3Tg&MN2hEzmj5I;Jx6-!RW^`ds9vo15>4qBYMGdv_4N8;BprLtj7Q`?7xW z9PxDC^ZuZ!p5?l4n$7#eKF&+@;=0&t_u!r^Z~sJ{90$Rd;dvLqpFEy(r!DKGetrb| zSLWpJ_x8nZ7$;}MGJmT4%Q$9EhX2lgIU-zcXA%`>Qm@`N%Nt zQ=iGuwfb%2x=#*Z{x|3aT-06!-0to-A3FJYe(7_3-w_Q1h)1?WoSo+4;&=V0Z49@W(CMl>Eb!aPN|fZh$WmVmPnCtx(6rLeKAT7cQdTJ-qt6 zlq`L9&U3#iRi1W|zm7Dx@ZtX**{ctbe=9%E5q-+0e$+VT?c0wNj6d!_)EA8p0e2VF zjf0&2{Vx=&Na;Z38~ep!4K;W=NQ@*ZW) zJuu4PI*j#7oR6pe`3Bf`s?`+OwNv@Nqsng>XZTLPb->up;%xnTaEjrpsr6{rzX;=hZQU$`+t>L%qDw4+ zUH3!;?uRQn68eMdN(HF6a&`}?Kpr40NV&BP&^MShw z9{Zy61Y_6v!BhVywx&M^=CIC4zK=TxCH>vg688{YW+$HQnhCTs^UyS-qkQ;&Z68Sm zZcW)Ai+R;8MqZp3^S}Ar=J4~%AmC1V9OfktMg|$&ZMl`>=X^nbVghiE%NM*SxPFs> zTYV0pjtTGIsK0eJ<|~ejXZ{x`i)TCG68hay4^dZj?VEU(#clLk$39+Z{Ivb@;o1F# z-xb`Rt+pCm?(lpMsa}Zs59{N;C-ZcmP94whkbl<2QxmsO$|&Slv$2XGxV6nSfHOj%|4j-TiL@ZVDAbECge58dP>_^Cg{62EeMq2b$) z`TwAHE9$81LGa(H*am!iOD*zKmmoi#*4!_0&l~t@WzL&sbld^|f$y&VnEU11wtSE9 zqrS+){Vm@P4^J`thh3=OurBy^_2EAPzt8)OuAPT^H5M&3xYemSp4Do;*Q=(duwK?# z-rwB&-1q83$YR46%llD(S7)?V^^+3~?mTBbS6-~gs_Q??V7GI1+KXg;l_4i%46aLk zL7lOaF<+V7e72v_-&GvA{&x-6t6YUi26w}FUv>7S5dUzZyTRr27xZIPRp9E=-YdYL f#P<$4hxIV)2fdZhH#YwF_rD1IF9QGnN8tYe`(r~r literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/16.npy b/MP_Data/pose1/0/16.npy new file mode 100644 index 0000000000000000000000000000000000000000..88d5bf5198ed74fdd9506b581304012bd28663f6 GIT binary patch literal 13424 zcmeHt_g|Mc_kJwyS*_MBanw;qU091$B1N23tx`uV4K7@`v7m@izy(&^h$|{C996Vc ztCpzMI_e$|&c?m1dsjc?I`8Kn`2PBR_~m}(%9ZP!oSdBGzTeFJIwZJ#*Bopl8(pne z@8La%RrBT5{Q5MmR*P5bGkDmDVPS)Q7(A?3Z-)nk4IJJ(8z0^`Y)J3ycJ+FV8r82= zqZS{-|6l*|v+Te36)yW{KlFpr7SH_`uV-erdFOxsacvb@2mSozo{Q+;Uj3Tu*EQat z-|QcbeinNY{UWdi`sJzD)L&r>`c>*3^xJYZY5V{hFJ@POU73F``puX-G``q>^?m<# zc17JY=$GAY(D?DBulv-v1ivo6CHr-6qn}r%ezjm5?2Bp^I_8tEC!PN$&EwxcyU)Av z@<=)Op?=?!<@#B|E1Lg__2mB^L-VZv=ra1VC_X}U#5lY9FZ7$Qf4k!PZExz=L4~eE zzhd5-?#Yr*ZFBwdHQ5)Xd`~-Em`bCEh>?pEpu+J*je-#uB@>BsJ=ceUT)`dLQGao1M2YQVm2Sm1?g z+rA^OyM9w^={ncet2V=~&fM_Cwb_VI{&4+bn9niSHuW-3x~Hh5U!vbMx#jwKi7T62 zTMvw;dBp6a@$oZ{xPD#!E$r$7G=EiN9>(jH`|e_VrxV-Vc(by{1NT(R(lFjEs{{MC z;Vv5gveg;aFQzh#HzDnAy7Bs5)J}~1;lVZZH!bwsJ>}f1sji=GTss`?3c*-^F>NOL z#iFo94%g`=2e>CIR`!N_D#PCazp!?#d-9~j_U z#=4se`#%tlf1$xuhpS=LxOa?XAc+flYXEfCXJ>vW64p&cZ z0q3)e;K`PEneT9WzY*!*KS2F?)+}*2zgq*i=@d%*hn-3P*>ki_>at7zPWS!MX^t;* zc0*hE6(xM}>3D~$+V{Y>gKD5YnCNK}fyX}u&STqMa5{E%<0%ejL+%1sAMVR?xaqhp z(&74pobX327)Wt=`Udmj*WQ4ynnX*CzPs**L?>8KG;fXn?q1LrK) zB!|ndUJ(D;G2;L83VfSRxO(%7_*Daw9G@kUzPeWh`M?9c;J-e15<09`Pv9o<=V-?_ zpL6&xw+G>AR}@$Te`Z|(pWEg%zg^SjLVxXc>Nx*w9eZ*m<$IBX6z@aB z;v8T8`~`5CbON|de}g!)v47HfT-ZRX$}!S0_`z+(}fb7|dG@TDD3@hZ}e>?e7} z`)BK`Eid4=N&bfLf#af_jy(Dk^mWoX%v%;ImkiwdAlfF)m)3pG#aRy5f9?k^!ln_v zVIk#VpRqJPEfl!uzXN=m+zPneJOQ{`c^3OuyqQk=Q|AL`JIe#tGkXG8$*X|t-+o8j zMC4ZTvszBXftT2YIP(lIo|5c z{Fkrmg2%7CfgN^n7VVds-;zHK3XtB)oheSow5NHAU6j9!zn|l9(fWO$;gzR;z1bo=bz29 zC+f8Y|H(M$+W7nEmwD?WKTU&NWbd0Un77FOg0XhX&L&vW71Fp-YBTvlY`rz~0VX(`t zwn=n+_Tw0e`_l`sYj14q?{FP_2>z?c2+WuLQxE>Akf}7Uf8&AMd4Iuw9n+QKb8Q}Q zv*#h~ijot6^ME!K=jESLoKF=ZozHiJuNEIioMrJ(Nhf_j=@;yPy3Kt{0@rze0nW2} zQv7SJBYt98=&Qi=1s((A~6HFSx4uH&e538(}6n)zxSN{e3FWNWLNJ3&L$iNE)Sn1y9)_d zVH<(7GW}@2Yr2Ea`+4R&pb~J=qzmb6$pl|S2U9&i7)*9=oFbj>HDH%F6ToHre}J2A z9pI%zwx+znWwt=azNmuy zRKb>0l*o4L20@YT`K(YL45e%VUz13JAg*(vh|@wc}r&b&L}y6jKnr|)&D zKcCehJ+%*ZMVY#Ucj^yZ&ufeMvfmn^E&5X3m4mh*Z*B42v@h=(BB8uo=)Q4snzqBinGO)i7Fq#siKVY(ppnH^r2=G(Ow z`P055^x2ed(C5*#UM$C2+V7(?u`f){@5t`{g?REc1Cal^M*;XRMs}ik52*=u7v3B}1v+-B?2U{%NC~j&9%wKlRZF zdM->tJjHmrx2rCJl!w<#Ee3x8t&3XF2|6q-KlYsv$FY8@SVh=1Ne>tLyZA&E#1%ZnltZ`|@!XU@=7p!;46ZsK{*1f|yLRG_ z&@oLHYG+q&rtbpkS3me;YyZ~I@l7GxcQPgp_I19An3t#?MD}t8B5%#(RnqAQZV@+r zGKK11+c}dRZc@XM_qtRX>6ENC#o?-R6!`M#0n`D#cT}{)*`P<@tNe72({p~J_s9M7 z5EmZS8MP{_jvczo;SZCpK?B;HKp)vb*&r)yae&WcPf3%vY@O=?R_k z7txlBJ?}Sx-(Vl{WrFNZ9ZdaAzniCT|KeIdveULP@`U-{qj^P#05@^VqcgMh^|+$Y;iX#x=LcKE zf4yxB&8uGk{Ics*tmCVQ8_9ck+6VaG^qoQG?~8TRlVTBP zy)q}}sqcIQK5Kgd^R+vRkv|plK#$i6L|x^rmIBvNM-Xqb@i_U(HWS~s5A;R;m4lsK z6&(W}I}#0?`RA+U;wkqi#92I}^OTML2K(3g{sbLfE8~je8NU{E{+9OC|LOaHi@9Ei zGg~(feAe#<@uSMqJ#+F%;3l{T=EYBq0bkvq`>^us09;I-gmt&!o^!d?Cg`X<(b(5! ztLGkAn%?)>fXQ^vc|rSBcTWRf&bx$jQ(vI>EM9m3;Xg!>-CIK_U*Ao}`pPNcu&Yv& zDQ@K|B2Mab0_@8B-DqB8&tjac6o7NnX3;%^cfUk>Zwd^@`qpkj{Ir#@E0Q`=o=+=J znDS@#DAWNKUkZM!6<+8!-rG{a-*pOY zwUO4@b}Nj0W~J#|;mf+yz8qK-_cRtfipHPqhbQY^0J!|<543I5l9VSk;;`S@JG%di zj=$1+{akajvnx`D()je9q~3%-S)Jf$q= zWhdT`cmB(?*1)wl)mQuE8T55VG<4LXF7QWJs2lD0>L}$0?~+b<-q*l|=boXi&^?@g zynUkMGrw`z*KGMs_`{WM4*bgpSZ}-EARlbiGYb0K>3vTv@uoa^+HRu1^YcB&eA$vu zfU8u2Jh$Eye|fen<{_{6!GE@g?(1w2-P75~u8W+${h8LAdsT%$EVDxj>^9g-afm#F zrx^P{gMZzZ@RDuduPjFIJ9^DA_@fgqQGK2@gx2xQXTVj!R>E7(fIoKe9E#`0J;3?= z#klvH>cxSZ-Z`MJgKL7X9wnfy{w_!39zH^R^p0M1E)?BI_CFmr!No_Hcn!YEQHA0Z zIbj0kl{$g+ck}=*llNl3%M+iX%@+{P4>reo$w{8NG1w3N>g)vMv))W~*mlfE`uD#Z z?eukJ+V7_3S=bS+pG6{WId`0Mei_eqH5Ko>#I@N+JrGY7(-iTSmH);2g562?IdQK6 z#k;~TtPA%#jkfu=DEK@VeII5q*MQrWUjVn>&FLNy4}h!E z7ZGQX{Dk-e{eiP~bHO+5Zv)rsI}rcDIn)!qg6gxnL;Fl`SkT+eS52e$Q)9*<4(#bb z)Jgt68ah(acSs$*4C}}$wg->D*ot-IrFvk!Ott*9UON?VTgVsh3-&O5ui?w-{vs-7 zp5*XUf{ahvdd(}~|UYBu!ey(ha9_Yr@~ z^mz`qDaEK>Bzwb8W%4ZrUbQ3mrptcRF?p)hc!!(nZ-KMGAowqT{Yrx$?oV;c_Xo`@ zJS@ZEVtrlU{Cozj+o8-A4%fZclAq%|-^Jr*jRSs$ey7m3A;#%tJyDP!aC z&Ns$B)mOShM;#3&{`ecQnQmS`3;Psu;;f3Z4Fh^H=4A93J=zC_y&^V}0Id7}=f+%d$zw-!2f?=Z|u z=L`pKZml5wvA-y%FTZb$w)|r(<|}^6#J-T<(0elLUyJM(c{tL|%N*E1`mg=~pRXL) z-|3k5nZQ**Q{e1uSTBdO4d-e6#m;A4+uEP0K3s1KyCUyux?f+bxD5PXj}X87HpJO{ zdppkIVniF_-}?aZwBa?t7p2+)*DaFB?)LTRj;|Zj?}p+)AN2E9wQ>H6pkU~m7LmYB z^9Exxv-!Mt82Nv20_l|r4RtunO?htb()SHnPEh>U4F%tBT0{JlAo6olKf*6>1};Z0 z7~=e~O=%tVcn#eC{Vvwwau(T@q9n%g3t7{hT``;1SKglqzUj99E8v@}lYajh9{rcN zSKE_CfUB1te#R-B%lsnUZ`s4ptInR7v^&D-$Qcz$XINR_`sKPf=r8+(bnFA@^AcSX z9L@_9U(fs#xbAiW`l3*2@L3beH@$}LA*xv`;39_d&Gz}R7If}YJVhqGr|3h6J33sg zr#fa%()VqVJH9*o`K~8)>=)rCcAx$kUtZu^!9gnjVHwK_#5^+Pkq1D z;XIP+x$W`a{0|xGaJ$J zGvD=#5YX)!&z24t!=~(#gFZeBR(F&T)OB0{FTT-CI@aWexrSx)+Mg%b+9A zcfG^YsUaC#%^E^+85`O8%_R2i$HCS>p6na|T?js80N5 z4-ikYjq09R`Y~`GQhvJQo7fTX-|V6P`(f*POmeu)@ce%B%XIk3r}V;p7pLiW7dxAN z|CMh)O~}mV^IYx8?xUZ{ZsSU;oetkk^;wsu|7((6rY>{1-Am_zNuv9kYV*|sr^70A zgFosy{l1iaUbJ_7_NF++A$$$uY@1cx>Tubf@?3q}1b(XTXXAULDMj}O)q?&XfftGI z=lG(i7j#s5N9f3a?-4g0OZP+h?I!py?)#zM+D6yOpTcx5*=47_O=&r`9Z_A(AQs3JTtbD z&V~;+Ih-GRME)H2{O&wnfUg5uP<%E{#reVpgl}+s7D49)V;^2a`?Ha>Pw#q@P6pjy z^v#%AnaX&{O{Bb>m}mr^>uu8ehYBjlFn-uSpn}Ia!WJd z_7`9HFFr1dc-qHQKUvlp?01$gDgk~ztxftT+LHdAW3%ATE4mN!$NkaI*M~!&eNOYT z&1oOW7CyN5@_VFjxBrH?>OZhh{ILg+|-T}c=Gg?wC_e1hrU?%FXeMshklt(KaAoj z>x`p38TJ?Ij1Hi6G(3*Zox=5SpXBYjLWfNrh6!+egCDz zZ}X1g@m(_ZojvpuaGB(}-wjBOa{kL)o_kVoOY$e`OVk==T@~f2KG+6} zX}$j3vC#Rc&(M8T^rok}R)3?zZH|LvciczB-;#!NM7(GX+?KBh|Jhe}u#Ze1s`LDO zezLo0>5NPl=OEAhFi$1meC+E4hl|_9H~G#`99qStIGleMO#0U+A%DdA&10QEQltVm zJ?Qr=7Tqh};e0*SPci8Ws)t^gST9y45BVL?k@9eEU&MzkFAv;!)Atq=u>o~b_NRNP zY#c}V|6_+`PG7yE{FY7W_kWY|9`%G5&j}qJ8jieG7sD4jz8G%dr)V}8xCu<8dN_F% z;h)U}&hsVAz`RBd0j>{{j!k(E|3x3FGj^lr`)g1$jvT8wu(romgn z`_gv_R;iXhgtK6%_}HO00YDI%-SY zqvGCLjeFs!T2~!ka-H{I@cj6^KKydOa^=dElaq5!a=&j9+IDQyuJacxf<;#B89Fp1 zyrMU+=o{9cVpU!-Y*6^H@a_Y<4GQlW>hSNo_a7RXjt}kKeQ;=cyHc%s^=enGT$M-h z|JT19j4{!=Eke#e0lw|r3-^@wyYF%R{L5OWUE8oym|u6x^#=V1>)&<# z>}Ak;wC8NbynM~3m#)qCv^wDW?e57ZU0eLP;Vkg}OWvYAFw+Cqud2mvb#2po7>(a@ z7~@Us!4s~ZKaaw^W=92D|2K;Ff*D;uUs?qHCTVyc*Ds%ai}CV$YxGN58S4=zeG0pN z9?%BkMU|!K7ruF^zr?#TnCIms*l(7w!#^9GAYul;%x@wYvNJvQ+z z_`1t!;3C0-uRaiNg5CqSbH1JmJCBjRYFM7)<>&+O^@VfLk)1+-tF?nhVcw%0_OoKm zX&q_#76Y&RH}PwK4_sfLKF{GIYYOthUTaSIaWi7PUpg*tucSJf<1hGGhqs;poz#ZF z?WwbbFE~MdUU(R7-r^XZY*t_LL+7H@?$n<6BSK@H4j+<%{BUF?;V0k2e!0FT^ySFU zv|ra2O^2NyR|D7M3)B9x{g_uY`3>XM%{;*Mf$i8AzO@tS*8GTnc36y`(<$-}cI#|` zz-9Eq5l+WGjVHf7xq@|z<{4%<+;sd4ZC20+`>uAJoeh2|$`g|kPx1412I5d}SH$<~ zMsadw9r!Bq59H7M6Nz8;AmwjJ0&w*-2{@me3%Je`3S2&1MR?A6@EaTSJM3hIGrB;byEVCW{uoXwaep|m5c4+80X`f_FRV+j&HAzhpxE# z9R2bSKg6fZl^M8x+!^cUrD~6b{)vI)&%1xX&w5ui%8S_nlyBlE;Oxr1g>D|RIubhk zj5qmVPbJvHf>#4KtRrw$ERgm$h4P4>*-!e>;glC=3lpF3q5bWWaT4rV`7hb`<}}6c z#cR-Ew_AWOHr9r|eV7yev6tS%etY;wtk8Taz3_`BUXB`SZ@+IH$wD@#M9?AK{r-BTm$!Z@_1HLolz>xqbnE_c-$V`s$UkRz#h4JI{7m=mi(Z8hyChR7vQ@70^n@ZHOyzDS0j)sC-$vu8(u%RS{#x7o)cgtyyH{Nc6Xe>G!0>D;C~vPYIJ zboQGN%11lsSMbfd1JKbAW|7XPg{0H6G2%_#+YekN%m=PJ?M8i*XJ!z8ZXe3udpl6a z#G$RgO%^&wV<7`{mj_!1dKp(2yyIv45+3eF=U0dNq`x&I&3k<{;?@kL_cN8Z^<}KH$3E<@Y1xhHSjG_egZ(oX zI%?!S;Nt!~)k?p^8HkQn8-(Y_R^c`!;d||7YjO){uhIx zZxRG>8?zqyE_a?qUdYc~Ffa2-##3LZ34M7c7xLQP?nw2+|Acb!FRGV;j_Rzyx7~Ax zJ6x68N&LYIPg8U?_RBP;`=UOWK=mf$P1G57Y%+9Y?nk6Ie$*nT!=i$)9v#0Qe6u=j zsKf2l80hMbH-Yoh9Vs4Cz9YYRQ605OGqJxmlIk1#H7oR4o!8*oz!Mm6?~=Ygogvog z>ut0yd20mvS^dJeN2#w2*?H>-&9mxT%De4DVW(>TEA{ujFdFt(ZUj47>>%<-#}@FX z%}Dolez+;(#MCX8?D*yg?F%p1k#wS8!hW;+Jni3~r7^EOP=2vrI$uqp_ghi29Qonv zf`}{qq8yDMl@0ppSzGe+ljpEQ4!ez~xG@>`BGJtgKNBer#5X(%_NUyZc@IZGhpqoZ zyLtKClF(;KjbM-M9Nfq82J}`ayK02a2=HdzXKUdJWAN)r|1o>jpdA*lXnH?iqoz>|4eAADJT*FflpCsI7U>r3`;D~LET`O|=#?mq%IL1Cj((&cSve(0zdtqAx1ag6A_O*5+Mfj z+3^Fwm(`zAUf+)dE&>vPvqq8NvqCixCn9+g*)?j|Y`=6n^@dr*AK*>)kIsetVgo8sq|haN4%vxI(fIJ^N*a`7&@{=FWUE=kKs@G zLpH3F+XCR5rupZ%_1dWg$e!HUFpu4rf0)xT(Nw=g!Beykug;L2Q?`+v5up@s(I*j~ zHv3rc)VYzs`GtE8oIWcU13&9sbe@XDzmUIXc|3H?f-Q)DmY-97o-hSC|L+iRv*J3= zDVcWy&3oV;a6ULI?hp3w5rik@#kzP*FYJrV(h4{$6+pOuAogA7X+ZeAt4b`#v!<=2Zvj zUMKdHfuBswWX#L&(><0qy^3-6ej}Wl($GD_?4Wp%SDpdqH+;$d=PNOs82*tbeW(tcC_;8m&V+uU4=iwe_30ei zc0TR1-dqUr%!BA$v17YpUHo84dM`^H4Za#m_aa_73%!qQJOEs7Dn#)a%n_gFDBb@> zw%=fnntgJ#o0mt1gU>tv0h}!^P3P3gBA8F!ElvF0RL9KFhh)c(?I^#td`bIzhTh-# zW%^x@J?M`0+QR1%_acbSU)8G~;!2!~gATjC20FaiC+xee;}5>-dIq?V0};16I0$x{ z48L2+S`n=*8=*ZcfV80$adL;JcLs`sgFRup9uLq8DI7>VV zKD(2G{WY(8PjtBYdjjS4`1@q%xV^p(H-CA~_jtOui-6(E;i5FX?}_52pd;?8B7LHqv0Zr~cD+otzhZH82isUZ^DcP0qFOkAB_@^-66$gn9JGCvna{Ch0x+ z%)dNvQMyT-v)?wDNcu&30%u9TAm43^uhCY2hS1X%!G4LWJJB{h8_{!R55%)QN_AL^ z9K;W(8|n0UZ6ElDRlh>>yuLKt;cB+Q`EAFn0bi8tw8YsdSN8zltZoed>qRf=ec{s< z;9_$f>Q6D)7dGfTwXfwT{;a`2f$jvJ@9|O(@mm)k@OYFN*{fR%X zGjNmt9Q-V^z5*`q_yOl5=7X>9KLl>SpnHx9y@Gn8r_*~Jd)^l76E-QuCvJ9p+lzi@7nd_( zzj(j)@eVgxe#LlktRQeUJ8_o7WnRyBs)ad$%XUlW0?$U@0YuGp@GeQxVgL>d{*!g;U{MTx2gVf9A7;B44f@H zM0ow)^D*!90$4APDoJ*(c(uggc5w&d_dAR_CQEdP#=K)b0GC<5C;Lm()X*R42OS~y zlAp^4ZgDufQj_$jZw4+pty`s&1B!aEEBZZ-#Ya5!7&OL*!u!e8q#4i{zVypc!g zJA(ZEMMvn&j02y4bsv1bszt0{I$z%nAl%pUJJQ7mR6j?0?CF|{b+P&lk&o855shy_ zbXteu*22yU&7h;6l}B93Z`TiT`fN7&K|NmsT9BvP%0=MUy z0k_@eZ+AEkl)!a#9U9l88O|5s-571-Py5DZRmJ;)iHZWwGp&P;I^vIYnP|`bwfqX; z;_PhY^i`h*#5<;Fz2~MNFKp3~&|%L#_kUiF-Zu|#B0Tjl)rX~3`amZwh43Ox2tS-J z#NqnfRp54U&}Hx@j6;1;uNspbGgs05IzG!%*Dtr70ADoT4L^&t8510CCjS6Fe@y3~ zS(FESQ>8U<^Lh&AHL0`KfFEBII_6#&`gQ9XIDhS$wxnNRIB+|{ANgXg^&mSt#F1Xr z;@wix=VezZ&e;Ob?;FG0!~d!*)kAf44fwoM1=y*o^`m*kHo{l;ruW%xo_*Yx44f5A z8SCs+!8ET3EKK9V?%>=J+3CEI3lqSX53e_M_Lx%iy;8NA1>7vmj`tl=i_Smum$E}w?df{k&Bv1`3~)O31l1EYuNdJWOX)uOlI}gcEdBneZu`e#-Z0{uQ-`6? z=N^T=2q{YX5fpFi&3&9-Jh>IEr#8i#KAKv?>4;WTSIr1|PvMuE1Ug*hqI?k%p5M0v z-vm2c?(7L2dFl$S>*AKu;OCeHoTuagF7_w)^mF>jFKOQLJ1O7W{JYcP_HrQMb~)*! z@*xh_r9As`oc7VKZ#cl=tavT(S@q#~iW3)*U%HuxA4E?TRJnIbI-N`UzHCp25PxTG zyw{jLk!Y)g`ml$oROFp`Zh-SVLxIb8n}2ch%DJO~n<}4)-}?#l**9fiH~Z={@<^8` z`m5ucaH@MOJUjA;KYl*X;kHP2@OgZF$_o=P75rPF&}S+6vG1%@^$`wdA+#P-iGHUv z*>8?YNr%;`!QhL0bC8evyG}S4>|Ux5s?(cGZoJ+Vi#S&o9+3Sd(s16%4ug^~?_c%E z{_Asb&hqwImt$T_=bawE0en_{Db8_Oi0=3L(mSfF3CFbKi%V4ZY|CZP5#BRur#Sos z)jiGWUdG1$hWA;v&>!=f5?{cdBA_zrgFR6NxVn=KxUS!1iPM+c7;u@T5^#0vD4iqK zH`BV>6#{PGewYFK-wp#VCtBEJlB-PuUa2*3dwM3>nU(|j&hi!qu3ORfU+EJN>+Cn7 z?JzH&x`Ff`=3MP`#8axzEQ$WFiBB80)Zsd~E_C=)y1$umEf+#(dl%s5HhuSCQLWm7 zU*k*CKTG#a`CAd>h1o@Ql0Eey`x`bH>iF{VAn1s_8EKxKUa0e;cSh(K(E2SP{16~%p$r&4_Km{|BhM3lw7 zT2?*@9hS!naVz`O#65~P`jzl}^nVCCsoFZHuiiF74w>sQ}(0$lGqPk>G z)B#^~Y)<@1zaZX3TIWsRA8kYSKg)B+wZ+d9DNmC)aQTMninu&(c1n7`{CNa$^TRxv z_tj1KQ?>jS`g&I?#d%$C+#ggVop)xA=RW*%bL6k;wSv|awg-GWZCQewU;PnI_#CQ} z%6ks-SN`Ek_9wSPKkwBJ@ne$zg&ih(EZN_=b)3^-JL%q~_T~c4p1n+Vxb~%e;!Ek? zt0RMvr#gu8OVr#5d-SxdGaX;}bfWdnoB>?UxsQER*935TXDspWl|a6jzT{`t>ImJ7 z!uG9%J@bA7Umbk`TrKs2j{a=|;VV4fou2qZhbL_U&N|Thk;riy_X^$oGU0vCL&w&O zz{N+#9r$=g|2OPdAKZIQ6WVw7 z=WdGkV{*9Dw}o0@JllJT;&flJkq#H->7KyCKNJ2(=up_RrxEz3r!V;@b6QisbiRI0 z_XHWK!Iy2m8{}~HVj%IOJm1s1zY7Qd0-e8N$aLaI21YoXpI#2W7#&D>U+-v#iyEcT zW-X)9Z_9;ZUs!BawDoZM{w5DJ7?$Grxyk|O<>~)HbhXD((8*qp#vk$`{~s?m8TikX zpL*6D%wtE58tia+Hw)VO9o>s{Paou+T;oOhzkH_ntdQ2n&1-mbvZtS-IB9-%81yGs z1I`Y`(EffBxKFa1oq>zp^gD+b7DV^AoD^3kEB!ui2I`-kzO1~I_*Fi_E;BNk@^?`@ zaDJZlQ#1`6>E=~eDKB`N=CFsCsD(PCx6^%q@1(fnou}d+!U}AMj*ZlK%BQ8GosRtX zJ=*4r19+-_Kh6QZw+P{VvLHU?-k2uNPF*R4##dY5skf8hAN|yGUO%l&{&`Xy`Odx? z4?gb`3EW;-j5@|v90jhIQe2sqMG*hGP&uq$dFqPnvKe)i->3RuZY@H;h*_}+cJ|Ci z?V#K=uJYHL9WGuRBmH>#y@3@NhI52Pc>d2LxHRlnnQMi+b;$};=jDSOWbeC;vmCAp z(fyF`E)Co?_lk449!`AK=K}em>a0YE^SN|>$sZjS~4Ze*Ufc=s^vSK~va|hsZzYqE6aS7nOKmFb!`;DhMx!&_WE~6>_`}r(| zeksp;^r{@NQ@?$IdcsC!BK;9zh+DPQFWK?MMN4+hrF*049)^0z-mU^JZp@-MZ{Bkj z^luC%{Lfy%Wy5_GZ>bco`Z4|f%G2^AKE*Dodphnt?39xz4p|)i&cl1rcLbHM$}ZSb zo$8FO+yL{aE~Qk8^V>c8ok91bd%msuWV*vyhcNI=k34wlEvM&$|HyMbPVm%;sUNXl za#$DeS7RCcz=C^3`Z<0u-B(3p`aUUoYzlBV`|b^NSi?%-tIL-b iI^3Sgfqhh?sa~;+4Htv&#{BQ^e;)Xs2mb%}!2bboL`4Mv literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/18.npy b/MP_Data/pose1/0/18.npy new file mode 100644 index 0000000000000000000000000000000000000000..cd098cabf3c659f987d3350407415bcf3229e2d6 GIT binary patch literal 13424 zcmeI2_kYjV`~Qy}<87}-!>JWfBeawXIS5May}~h~MuMQk%s~>w7JHspEwO4wBXZ2z zRm5A1I!LYBD`I|f9@pzH`2PBR=a+MP-p_R&=Q`K9&UijwiEG`dRoiY^*l0H1w|~gU zej|Lp<-P#}>iAaSz5|Ah7&W5L(B8vF^bc{oX`j%MA(?#Sz&^u6GM_8es9n2e6~8Kc zBL9E=%flEm%Y1GIW|sEFXV#VG{k?xuGE3F#!xQ(+msLT%`u@mu_pImCO>_0~i+8AJ zPr^~JmtR1=DE2Mt^|iNDUu6&KP5t{+|Dqo1O&@A6Vn0W}_S#X@o4)C&w>hX@o~wPs z^(&fOruG3ZP_JT1-{h?Lx2tEpK2ZB2uTif{c2UlKk>(3;aT=i+2!nH+a=Ur zp_P~1vsJ;*TxrVrr@HpC@zry%3%c~km8w+gbJQpM{EGUEXU~IA@j?G8TfTJn%%_I^ zaL-~z%_FW}Jvj<}F?Hib*tLy+<4P6K^q#AiA^qVevm?>o z?m2<>`tqi;u3n@TpniiYP}yuX+M9PL|8?~?N2w&Ir$5TaD7`nLy)9Z5{qwjB7`OPl z`ej#d24|=KSBtx@J-fN(fa9#d<1|;wviV-SQjFcO$knUxvm^0*r4{C%U5P`zTKV}h z$L*sQLtM$8m%iglGoF70kM-W+O5OK(J6DP?y^&Wo?hNY1iYLZ#e(qTd)E_K>c^BJH zWEIXnHs-eD(x+=#)W02x{1HWqW^?tXT!~wb>n5KHp#GIWdwHuR>P3X0@szq*67^{< z&|cqPNA+H>(Vn;UF7N7X#(&|zewBfG*|^S@6vEhoQ8qj?V|b_5gmevbj;J zTeDU;u5Nq_JJa(p#Uc4&JoGD7CEZV*!R>(=&^Kx6c-G67VBO34bLTpH{kkQdMMfT! zHu|rrj+)^hd&$8{J3XS=3@i#FfS15bJh9d>>pxJkSh>$n_2{)^EG;PPEN^s7SO!CrJZ zLpt$2W;%O*-ornUQ@W6=w$D4z~)gS}3?3>}^=7@TwOiO$}%Do_5aK$Pn5 zxvQby*pi>CiJMYymN?Ej@1b>3p&3f?G<0fUCbqF_Xg~Hkia7HNr>8)tqCYrmc$VfN zrROxqMdM^V%Ti=-X1|{9xY?T@+<4Qxsr(0`9A{o1p(B6Lq;qRu1ni6XlK#Wzm@obO z7~;SutOYlLc`?7T(d`&#Z=Y^Pd!CV%<~{z|9O!uZ6Jx#sSL?GtM{Qb8cBjvw9UFIb zva{!XQ>ovJcMwnApe^!>FD^m;rJh4O8+C!~V<#eB_HG;0%amo&fllY+WB4t16E{9( zM#G=Ov!Jide`(%61R#G@fpd744eDUtRrEmGxBfaq^VMcHxQ?iZJXD*efE%x1vVYSQ z_QJm<*^i9|=ia@se(jh=q@Qg$xXHbibUF_p`)WUd3(=SIIr>+ML&2<+S67~59{Jc@ z$S1v}2ugEh64tLNp99ab;4$*6?vk}`yn16C;$>cLrg_}(l=L&I!;Y7IN%3ep66=B; z=>o1Uo1H@ThqWhWB$7tQxs0$r_ zw>jzmS`GT@yAb4+Dfoi&A+;ICt9Bft{F!+l+^*XX9o{08{G3|}-1It*eN|T90Dtt% zmK2wFPY_Spt4g$skIo+td-<>ixan{g^T_g7g1s)?o#OoN1pGG>ek4Dx{z?5teBICK zm|)5S-gpSc%k!ncAC){0DT>e$gfAJHo zN3~JI-kf|$d39?c>~+2s#BCos2P2LXuebzUT>l&Uo-MinT)pW>>$m${+Q-uNfSZSO zjwlm~INNsyTuy%u9W|pT&T&?a*0YK{N%~d1VXty}c%Q8v`z`QOpX^2c%-l)*axn41 z-ND&O%6}2R1pc%1HssIEKVZ+JuR>oBZbZDyLvX!5nEIVT@iz~A$i99w=0$v$jJy#) zu0}hx@@2eRNBnqU%%3^dj^=T_Sd2V*R*&>g?9;OAMs` z(`q3;;=(tizv~m}6?u()$@EI3brBQvryHlqm=Njw)F(S)A5*pqt)p_e;g9Zd4P5V? zf%Rg%>(V+cmmj+3jvw;G432_7I&3WUJL41V_09z317FsM{D^J}ea0SPetC}i;Ogue ztar8RQnd5OUh|xPy_TVWc6{?R$61YR@LzT6K|FWvfDI_ z+O;{4dz1+Bthp8o$x`wKNTWFu!Xk?T?#qFJfaRz+Rl+ic)?IUjhH;TJ&o-jE0{q>M!m3HSbHo z&OG{>{5gF;#M$c?2dI5hIuF^H>lhbX5`_MQUqj@rDp98={NMXG;%06v1ZO`Ko8h>< z*cW-spR9wP>RoK6g(V_wrdj4Cz8adv$<&2NdX)7-QC zA!B?>W@)m}`sDjsV_f3UYV0#=p%?l8#B=`WB9uQxdO%mS7=-cK?s!l+ z2F{<)g^meqHURcN%%!-U?T3DJ#1F_5wKNUfWcBP5Ez`z0e^`Iomu%<8G~U}MLLHZd zw$r$FG=N|7#vH_7rP8{Uks6#QJqNcfBcU&<_5jxb2{;FBst-8Z*bH1e-#^Xi>rT7T zpC}hhI-9@1x|ZJ!BR@98lFq%YuxAr0B2SoaEctb={~|YD6B+}1)%q)x{6u%mm+VLH z%c{sPG%wzpvEF4+5Y5ZWf57FilXR}V_1yC-RV4d8TaZ`wcoOW@*hAoa!&ICL`s^Lz z5$EA2dwo0FjZ1u&4}LJc3G>Leb!~=tu007Z2fP3`;roXm4!HxNW9Ik9Jc`AYFkj|O zR*ch>Ed+aA>g+-{Uj8ec%Q}p{%Q2s}*jMeNwb0?Cjv(G<&UN_7G~Gkg_MXt^zn&k7 ze!rPW^D-?QT;(g<$Z>Oj0^%%c52W#S{wLP;Yo61(Vt;Hy{)?ZYvA>C{p8fwnM`&I5 z+J-pm@Fv~@m;{VdUNK}i%Id1=<@1DHlI$EdC!r_lOnS}B3CG?#^46@*&X(;7o`583c*m*eb z_(U47`nx#ADItjNCpo&IUmj2MF6M*}N8IX?KPoSMPqmYZgd@&V>Abd`Hc}iacEbIK zNpJM4zU>SyRF$F7Nm)+%1+P;6pHIa)5|4|}cuy}wd_;17&{~xnNJO2Z`w^m{;>FH*o(G5lTPt4n%}W4V6Ru52WJlhC~u$9 z`>zZrigB3Jw5A2rbo^-eq{Lx`O$75WdzMy_rZU9%$HcfC` z#T`e#Hs~Pb;k#w@URHP_*0nrw2maWSlbS%M*+a~?eMI(R)_m*(`~ZDNH}y+X{!ECT z7MQ7Tw^6^$yF9pzd4v2ngTiV43ex+iecv4M5j8ybo8k1mO*S#BUB7z85ZH?bU%(#| zvuUa0_VRDw=Hu@u?L@zL*jJ(Ts82Seb#v$;@_{S5kBMxl7#|BBjy#v0Do#yz zC=bn7Of1dgrTr9-eZ?uxvvX10CcObS@7G`+Wh=TjnzkiT&;8>foj-DTZ`!X09!Ed= z&=HDH*QfB0r*N8|CMTkuy{bD2?L~SoaCWi==EbxqM}Ce7rgF$h7kcEbQI7M-L^{74Zy|lPH9pY!lZ)0HuS?%+ zd8gL29=&#xPTp$NPtcR4PRBH%?=n1w?xCiX)!+s1k=>e_m`5=+8TW7#eimE}DG6@v z0h;%sLy7n51kP(!LHu=#bZ|4j4!EB8*&3%WK6^y^O};0c^dNi}vh}_O7vW72SNZ4T zKF*$hp!ZPGc`UeTbPxNaF6r6-bFTuo)AJ*L%)v&~K5-l7jSXlM?Q~dGI_Ja6?xFV9+M0E8;^bk|KuA9J)Kl@bzr89npqoM6b(RWLJ!k9o`_@zY2e~khtXP>i$Ibe4q@Vp0jpI?BCE$0`iLY5r zI*;;b=m>gGmL+}%XYwxHlPex3`<|Znj?fwNq4R7uxcY4<<#i`E%W>iR5L^zJOni8; z#n5k&75jpow-?;}{Pl9^cohZbYYV}Dk+0iY=mb+9uw5y%-zFVUu>a>H^z~P@;ivg~ zCH$A^^`IjT?EzPV*CTE$+#j6HSPw3f%l`!Zo7_r!`JTHRwY9#xdC2)87w;e&OlhHW&Tw!I#HipD}+-2G@R)xMSF zub6_oH3d$?o_+3Ff4!6UIDJv6Ke*jkmFiC=;vCfL=)Bhn&8hyU^T-E2lj0-R(|2|G zXxe-dxj>`(V>yPl){;dTK0Q2UqBK9e(HovSx@&%)mB z*n~KXS1Y5TliY&rFTI4m{SXg()|~QQ9;15%OKX(i?6tq=cf+~;D9-Jh;+`x<(tD}t z5DqTueeI$h=fx|- z-fX)M9Xao6jN@Vg*{h?6!EHwMDCl&d|Lc&mDc?+^09vO_=zD|=p?ni1{ae8PdS~)y z`exFx1$v?1oqfP<*JN%iUeUd28~AzpjbA6~$>@ba~G_?s_xO+3P`+KjQsRv=hTu#yUU6KKiaI zdv_j-*beqbPoxU1&1l;Bf16Tj?#y+5)P9*!C zZ@@)xY3SSGWoZ1BpJE*edwH$XG3mv?#q|uV7yV6X?0c*w#YG1CV!d$hs&iofyC-em6Tvq!AezJqHbk6n<+u*nuLva(Q*1?|p?Z-Z83Uab<`Y-lRxi~Q1 z+4ISCe(8QopkwXC;whP2pQ3%w^tnm#H1BXvR?XUw&XrfNH!~M)b~>y_6^h#%`u$2= zn@jrl>7JlUmxYcA3qU;O@Ld>}8t1v^UhRl`h$=|?fO&Wc`ugeb)8XgyR@l(a!@?egW$h;xi21mZui6?>lWCHw+Hdws@vRxjvO_T^rCa1UooHVpY~~A z=!h{@ai0{G2f>cbrSGmhGGuXz^MBOu;QWmzZ$o`Hx_-r1@!)D=59G6HUJ>WAZBKEN zvwnd;W?O?@u+R0J{J6b_;vs@yFG~gCS$r3XeB&8Ab~t-=-Sb_wQqDB@%&Pu_dxCmX z4m$EW%`;zecVUXNzdDxu@tu!;^}o+XLg&1IzRGuq@;vnr&MB7o2kh;-H57*jkLjK~ zY7;o?v;$mr2wVuA6`pmso%TsFbv)LcSxom6UaJN9^*$Q;WAnYH`8Y5N{u}SUQPA1y zxxeMe4$glZxW;jNA%gs$OZQ%xUIXh?K8_@RcF;PN?=|vYwx@kiZ;6JVdd6(bqYa_+ zi`5uK_4XXZk`qCBlf z*?%qV5234ZudrROk$tulaFbFO@w6A8g6o&`9&9e`U+(%9^XPsqPx!&!ewBoKms)?1 zbec|v|Hf+sA+4@KT;bx=EfK8^H6*nV*97fJcBwGiy(xF(n{QEi@t{ieOd@1!BF_D4UwcgVJl zi7%*1{+}vE@egiD{q8(T>;0pOc7BQt)rhxk1bua=1oF*R_Jyu)-52$u;B@HoQ?zfh zQ2MT@7Ox!%oz>JYJF2Jn?ccb-VE@Y5>wxOdPw~c9^XU%KV zx;~WX<2WnU4}O>_bbq#Y_YMin#HuvyFJ|as(vPeg?znhBd8<0o`;M%%4f~tvO6yBa z_M8vd=S+6?x^+3Ux9{lwD-$CyFYIDfiq9qbE~4W)VZ1h>JjG?xYvd36y_9k~CY|;- zxyTFgmq&kyb)0wUNcM;6p2kMC4}-mr7y9MnXy4Lajp=;MQjGeY_>A(rL6-q3nL4s{ zb8xw1EaJoWZpCzg0jJI3j;PPA{ZqV&5M|Na5?8NHG218jI*wA0VSaL+OA z67kGuFDHKZm&r~?p89}i_GdEH7p=d@aWTXj&tmCE_{mZSbWO?R>QM-|)^Qk@WzPpW zE>mcKU_s?5f16P}cwe literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/19.npy b/MP_Data/pose1/0/19.npy new file mode 100644 index 0000000000000000000000000000000000000000..2039c2156462556bfafac0bf489a85b9c927aa65 GIT binary patch literal 13424 zcmeI2_kT~x7yn0HJ$he839^F4>LsK17A1Nnh_WOIqQ@j6(OXC&LPm++q6LeL-dXJG z*42r{ir(Uzd7XU!f$xvs$0xts$9>N0o;h>o%$d3OorsRzJ9O@qfd#V36$kl_85mHp zKCjqtaNUaTyyD=I0b>Jv{Jlp84Dz+SrO${lzG-~SP@hr0Y4???*REZ|-OZg(<^QjL zIT&MV+t2qs(ynqzamQZul`oHz(yn~?_t*BG&vi$;3O{z&-kaWS9@%#N>sM;OF`Aw~ zb%oj=QoBg`f_77E586$)=V%uZ?eIMFPk%n9B>FX-PoUlTGdKFzMW|gmweP`?Lf7f} znCxg5@nm18y8dI^<*`(H-ZK|H?@sOFL?ZfE%kRRD%;0?${--}LqmJIT&l{go@WYu= z`KE1Wn?95OpEu)qvDDDDyvqaIuI^BLWU42gQ^hV&`<**zXCtUxoo0`%eLmu+r|8Em zagTkTCzF59*T#QauG^G&5eEmxsF_u{Ynr`e3il_pOW3Uh?G_dv6AI#Qf{KOVQ5bDn&x~ z+wkG`Dh`%<;Iy6M;3;Tq|Jd6&_rGm11j zoE>>+xtt$f4(+uAkw3gqp-i@&t?BT8&uCXQH=nRvPJdSk&!5YM{^Yc(nME4s^*dsGvTa-i zJYOpd@{Aw*4LZ|oSwvErPIRt9`TjX4uFm!c+H$A&H~6F7e8E-B<3*OM;g7&osSMPf zv+i=s^{1N9>0$f9&CGvRSuTfHAikm_xXd~d_L*x6?#0a6Soh37YQEL;_@;E<<2&jA z`@MGv>`#9}cH89vH#6GLuw41R0%x;o-tn;gjb0LNISV5{&EPFJEaw{|hgmM`WP(3p zZ-2yr5512(l10D54&O1A;#hCfLaWy^UxTZ!v%vMeJ##E~yvctZ5(lo%`OLOl)cXLv z&TPp3u%Nk?tHs2H-!symc3EIKlVo3(C_wq7O3t%f*1SUfR`3Mp^_nQ?FHxO0b8BN9 zYQ&x%?7kxhb>@>%w_nA6HhLhk020)0ZIMS%ZCux5%(H*y?3zS8)E^ zfUD$6VV3hI+Ek`wn)*3`zD)Ea|TtfIntn0{rBEeI$L*t67M{ z0Y>>0m;+ZQH4y7pv`r;{-u;2A^Ka;Ct5^BvP}~a1~99BX8Bs6xe6+C&6{xT=M_UThbruLHbs^P*0p$ zUoamkArs}v>TwjGVl}|^%}U^A{cXfYg)hRr_#@vf59{C4MSbj*rA&lf`Smi|*}4ei zmA?F$#`CHP`IWkSqV=Dx9SClg?nFGrrNX4o&<6Qq-gE^w8;{0X`=ZHs@;{l*WBk~J zCDsnV9#8yjOT^!_-cR|^{VUB^^gh_(=Z0Xu%$fYqo0U6=SImR@!{QwHXI3Vle;$+x zb(_Cy20cIJ3j1Q5C-O?wdkXs^e{G6SgUeLspU^qW>{$;x+HWA@$$sI`vp)M#SH8bEZiRmN?I6?>Ic*f~b;+~Tug4Nk zYhO)0L;jbQ6wjC0$^T8W!DY|{a8Xwyo~9G!2QM=p+)*bGPrfvS?CfuZIOvIE!R3q` zWT#vr^g3S@;>_Mv0M{vhke$B4*r%MV1;NFcjnr?xCWyc8wGo`P&6Pfn?_=TrJ6ey@ zE0Xk!;>k`$TED9ELU3LsC-R&>GO(k%%q2c68gWyb=aE0AC+Zjz?ufs7vV;6-P5TIc zTnO_hFVMPWHy*=|^nXk9o005`@`s3r$5FkymjpX}$|`U@a#Q-g+zXt|Tu=HPEx>i- z?!?z7fOGfOup{oYB_4JXob?%ie%Y8t;Kp&t{)-pT>z&!bdBcKaC;MK^i~8vxtez6aukZON&+m7FUe)PKJa`?Aw=Tum1osA)6TZSvHtIU^+>9=V=fsom$RA#`47gtJ zP4>o5gdLWl2JYEMIu}Ua+tlyD1X@Rx>)gaR>yDgg$Hfk|qkXDIE5t+l4?vv}%P&*i z>l%pl;#4UJJ7y-u(=;lLJQ0-=p_f5p$dC80p_erdA^xUwU-J7(U9!I;4tgi3F7X=? zSnp1eLbSi%YC-)*&cRi@ZWabVQ@&#TvVdkZ?mQc(TCN@!gB`iR4|@G-^9ajj@*0d+ zt{Xz*4*mc;`c+Tpb??crqbAWlC6hzJ)f+nR@V$vEtR2y`HPw+CJ4qi_dX(jSa{$@( zx(II0{E0dva?!q^p67x+K42*F#O$E@W@>#Q|L;G={v|vQCOd26ko2kyU$^`EGITKekeiQP?+0`9>%9Fh?Uej$rduxZEJb`=h zur;pgQ)$evkiVc`UAI5!U)2h=di9#(#(JKI|Dwq*%&+SBJM8Q2RQJRmo&2m`>`bpa zZZqM(_PN~Oa&w=~&-`c|aIrsiphp^K=dU8pZ2U)xb9niQmWv-RXYALn5<*wNGKg0ubShgdE% zZp65Zt^&VAwvh3bbGN@JK0_kN-*Gi3!cNLqaIvL5xZF?$=MBEP0Ju}4F7XP#pq{8w zo6w&s(*ayJ4-1E#w!Yvd-(=#+1)(>~T`5l<1(9DF7e#uc`NO76Cco=fAbX{sp$_l| z>F>>S8`rak-ZAU#9 zGw)OUkJI-%?Y%G5`Y-3u`!@j9rq@PQtoCW7QKY;VpI;5BM-X~fWrn+=L zKXj}keV5XCN@5;)m!;4*R9`{o_8l(ZYSRM5hmD8}v-9Q5El7F%?KzFF`KlPp z#Wi|=W63_?a{FeS&-p>xzu5F9;O5O9I-l1V2m5jzojbH=3b^`wg#7t43*|}n)9^Crm5FeQ( z4F0K}-q4#pgP_+hsBY_7b)n}?Mo_*5O@dxOSqaW6Orm+OAh7P7+^2~D+8X)e+@^VS zX6K-F@oop^-O(-Jzqv^HuKbh9ewNX+em&d6A18Dn&QY>zar7%(W5LC;DC|?B+9A>p z*^PYDF9e-G0|HUMc#D7Fk8&&7+{Q<5dPw;+c@Ol?=yHg&Gwv|fqY5fac2dS+pEYL+ zQ+#?ACmvp!#=Ctu`R_ydqQ8Fv*K1?IWrH8M3KO>ydE)C!`g}#mz7`2Jv4(0WwGeuKZd>$f1QH&KV+kEwV9 zxSCT2aaJDmdxLuY1YG~FBWK46RxeCV#EVBzp2`&`1HeNQv45M-n)=C*d9_EH-hApu@vl}L@#o0`>(rdv z3eH}-;wt@DM_W5O{4(x!iwvaCdsV}J6zxaOayQ~{_TU_DuG9QE&0N5pkaaZg6^D}j zvF*WiyDF&9>hOQyVrDhs5e4F`eRlr|^*gF5xVha9--X1aVdhVSO`6Hjw`NJ%Z!@M~kc4Hq@1>fObieb2lCc&65=2ZuN zsBCoZ(`8O0ZfsZz`RCRf_H|^dl^$vSnD}48*%A6KZep)sf0Rj$uztk#56C0&qQFk8 zcbW%~{>vNKQ6)Mqv|Kk|1ulab=26zG7hySXat@rY{0O~y&^F3)_2V75SQ`cI9CFd% zqdI__2B*Nae{YyA8hygZ>7KN3;Lbi+?m(C>quC@Si`b z4?D&!fyV0{gSeR*Rlyzq72s@P+4a_rI6%Mm$@laHDg9>WcRuqx*sLxgMlXX;1r3EWPJA+XsTHntgqe((JPX4WKu973sG&RhFBR zoxoY`*~H(J9%#7}69%s8-2`XnHip1Yp000B-($7QK&%Thv=8~y`XKV%OdEprs76zK z*mJ6r=38={wZkIQEx#ez28W2nD*J1Q^1|A=V9N;>4mz-vKE1V zyleV*xSdJS@H2qcvsmHiCMv& z%CuhO$A;9u-^4vuZ!&t*csJ2^Q8_#n^UG>CBtDw@XZ$D12bUml)^{cBh_!r%wWHn- z1vg`($^MGt$Y=cz{oclh55ai#yll&%&ov%;wT{mJ&Yl$$lG5xrr?(Q%y@m86wvL9M z@*uc#p**J4>vWC!z18@pz1Opnmf)I+;wdjKLY>jmo~^Omd3}cT5pfh}rv~Go3Inmo3ky!^+h^I2s31}wIkiBUh^G2(XJ|F#yLm5p*q9!4*{1M=TSUY z4M4wqJAJ1$8y5^oO0&beb|!wS7Ou|w+;k3!AA@^ca|P^(NpG=!ovQSmjxUJ^ckXVY)#&Sy#?`jh;LgwVp2ss5 z*l#)C*$td`i-KON7ek@XL-99d)89u*FCA#P;gmljd@wy1{1)p=m8A7(x~11GpB=-K ztiC7Zhs@m_dX+Vm*5j3lxR=)|qyETz6@smOxgZH#6dM9A9^OJ7P(4U*%Dn-1qUyoE zm|v3ouKpbBNW|7&W9{&S{NU!^e^@UpHE9{_Z^{DB{7PcI=rc_gK=0y9{{5X1^Uju4 zq4is&FY(p&pl9ocjZLzC4ySx(jVHpsKK`_kwWBTtKyRwvy}(f-8( z=D-fW=~mKmRf6^fG5sdR?K=IgB)ZW1q-^#YdZ$^yCaahI-C$p}`wlLzPJ(?gj?M|f z?Pr>=e#H<^vuZoW>vYcvZrnT2IV3;T0deXqjcfL+nHX0jX{pzAEfv}_B;7vKQd2gU*zrSyQ?|zc}bGh zFBk{=B0BwhN$n+L&~I)!pYc@(5I1%>5&bGp8ke{q4X*d+h_-t5As%*|-#3EuX#=ot z@+%Z)UXb3SoqP)e;OFfIed*!dYQXCReF)ry* zd?oB0O5gXt9iZ_(oQHff-n72V(pdN-D_%zatJof7$2SPv$$l2|$kO*O9W?@+9nJ#1 z__rC&%bZ<^vpgm@*nUNLFW6xp>HqK4aRocNPzbmaxt8YTWEa@c8)-fAchTUc;k^iJ z$NYN(dXaN4@v?sO-VyQ=TyJ?scK&i=tX|fx27gqJ3dD;f;oPMLJ%-+_nndIJvJ&Sa zxnnH2x_2H|)+8(Hv+6no_u>exZ(gQzcv6~ucAxeIlQDtxVR6_On4kp5j`13BiXkNma;rz)P$p3UA1u3y~8IM}+o36?v*dyu}iEBse8 zhSI!jr~0W&9z?y;m9oyTekyl&=vDEClqc1XEVg#U0D2GMF|_ZgN?v%caVk>Xc6!ix zQWq)|2s?M^+`4|L`ktu{~g-<+@};;yv6E z2l4e%C(Df+`5`{hIZ72tMqN@}MndnT((lpCV~3wdnqJkSymbl$Q@_8q#dypbPnWislKsX zjPgIG;v8$A_owrusXP?t`=UvZAz{+8>f ztEu1Hui+2t)pEYI&z8-ne#cQBnSpVE=+}elp3Ga1{P~s=V!0|o=K*srz21AoBM!Rz zZrD*pBdDLew-JB!@eA%9uS8t=*Lc)D6fN4Yx1i6J(gO%?wEcq%}V>G*&K;F z$r1`-{LUr%-X(|ZT?6|I==+jskr95HrX2gSsz>osDP54a{Nq1y@N?lk_#<}*gR?s? zu|Kk7>%n!$Ajl2ifd!1 zTfN%&k@~$&|KFs48?@hYncENCnNI7BZM&_KY#cVGe`lCmiRN+aX}oWW)Pc~8E8oG@ z;YKmgccwbY`&6LzLt~d&Zd#AmuRvy}5IEN9oUW8TF%+Go}LYH{GU?SFs&i@^UP@c(}V{tw6)PayyR literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/2.npy b/MP_Data/pose1/0/2.npy new file mode 100644 index 0000000000000000000000000000000000000000..99ea508c0ab09e979f7483749ead727c4a2a75bf GIT binary patch literal 13424 zcmeI2`G1ec_xFcJ5o+H;Fhm7KNeNn#K~P%}u>|3=gb+*YLBt3WZS1L9A~CVXUc^#F zrnNP#eT$_SJGBS3^Ub`@`!BeEy+3}L$2{lEYtEe6&h?IjAG);f7@UiZW0SlGgpTe% z%KKaH-FRR_@0#3u;D}LUM)e)uXT+!hp_aGoJ9Knt4j&!XHzG8rUahXLuTRbDHTh)z z|N76J<^0?0dEGy!;K3CP$`-F~XXMmn=Z{ZpT^DPFc4zGAD`@ZB^OkLQ=DkO|$(~I8 zXI`iF7;2ZJsNMNaqunIDK|9+VLj8BS+D#3NE6-d&yIAuO?QAx+t5t#5?6}Ufd(=Pa z9@<51YS&4PucG~AUMfdCK)X8h4*s!WnKXV`H;kkEY&&cH=gq0Vc)a(r?QiB5LOa`) ze!;e@6V#uV*@^zF&Iy`lV&xlXpXQ3s)lTRq5>KLCbxK1!3!!%2zW8mc@6>I4*Ouzi zoOIh?@1^nisWoRU7uze|huzPG&e(QS@j3h#zm5VIE4t8p)_h2@cD#128@AME{yT%R zX=Ju7Rg>N4Gjd92^iO};I!n0o$d=CGM$c_&J{rU848uxUy7q+ek>^x%I*^Ei(uU5F70$&&N+Lpq-!UNl`e24Bqy)@e&bk7wv%mSr-`Wj7@uTHV$up$CVdn+Q*{306EN9oA zfb$1|6o*;?6o+>Az*(Nr;Bs$)d9a^G`uwQ`S7SndvRp=9Bm2{vr~1v?_nI- z!e^$nSG$^l^YGVHstSuOH`(=3XP+NMsUG(D#d5L0K;MbW1lL`cKwrM0b0_NslKsX> zxKCK%Ra%b*rO2OeV-l?g7>{1p7yn?MnQ@%VeuBhlW9)H?N8~ z%lwDor@p-q++_Mw{BM?npW@Hk&^Oh0kj|SVtQU9B4|}<36S#_%Gh!ub5` zPTXT=nlJ2Gbq;-9YAW`XiaY{+HK7^i>ujutaru#b;JV&UItMil!B2JM6UBMj3EZo) zOEAV&A$2e=ulNq}H0#RX9?+M@K!?w(53UO~fIs?EA=tAY9a@*hBQY#Bfw=LMSi|+1CL&vG|KGu$_+{=Qqr+bO_i^09E54nSj<7>d#s`ZG2p1p|pMK@aChV_?O z9kDV9T$Y$e_Ukv{9+Pnr+_^jx+-&WDeQt*T3eG-F1Ls%sgX^$pvaiznrrl3wLX<>& zW+ah5cfBJkio%|`r-G}3kD;TaH|+<{P2k$^0Qpn34D8iK;(Qd%i(k&5cgkr8dog$& z?8U40;OtXN8rLrkT#xOK^TMWnN8=95BzyNhxPP4KwZNTiH;HGrrg_D`!9Ece3W1w7 z(<$HRmx+BNq7?N@Wh?Ex_1ZV6n^&&$a`oIo8wdXWD{$$ohmPvjgWl7pUxM?-TZ!Mg ziT6TprTCbE{jpx^U~lYyxrXj5^RWx9>xKc{;6sooMIfc+|nUb4EFI zUwLh#b-9@auKeP0UR3Qbp~Ie2Jk8q**e5(_H}j7c^Ad)#qgk5b(|N_kQBleB(sX}|Es;}rUp^Cy407pFM% z&V_qJ7c5S^ES)E{s14%Gmj4YuWV74kSAWlFJFbWig}u1%I*)CZF11`QeTs2)!dUoe z7CuR_Z+Ey2w>rAdZNyFG ziw76c1!h|=dpg+1q5$a$-#&A}_e_Ajxu1da&W3K1mYWh+=$vfIg>jsTOQS7!eBuxn z_PXjVTUSf#j>)k0?swpyDbWP;5_zj3KjHBYX}x>RM7!e`hVy9B+F)FLW;o_6JSLT} zdSb&isuy)onkos?p&wU@bgGY`_7|>o|Cio(9sW1`*XNg0ej7B9^!v9bf1Xw7ZFR&R z%Dcqb>F}SAo8R7!YkJc8RA+p^&C54qEaz9VXnk*GBcANlxv7>r&FFhXT^@+_bS4+a zK2+uB&^#B;p!lRmMOb^uBFKN=q41ygYbrDBxPKl5*D;hQ^S^?}SuUHt2bZ;5!rnPK zV~FL>jit1{Wm=G5eu;>`(`P^Ijob*XV-hFAzG@$E$7>k4@lK_DBa-qHcDW}w`?Eo; zwO92P(|GqHz*Uwn&b1s!{>j&gq`zq13~MhsSE7A&WeNFJv&|y^9BxJohK>yJBfaGf z5Fa!1KH|eFC1YK9({^}gdFeXf=8N;-`u26oH_8qJ=RHb+tMn&$zt|ktxd_+-?uabP z$G$jC_J1EF|64V}yrgl1AKW8}&dVI%&el(+_kpu~cfg$&f!*!AxR(!fobb+AM;4ns z(Q@arqL`<7lAr9KpZx_o^FJcaD%WSE_wc)s)?S9rf{s|Woz^G6gLlUyuK{QOc7nd> zvn(9?Uk@X@yrHyzKKggD`m$9t;w-a5X}(*V;QWdclgQ7Pl!rKdBPm}xHx^tTqkPP) zFO7Ru1yMY8;6FGoLN7-ARVjM!SVSJoOJ6wyd%lytr%bm1aP?E!IP0g$T@CswYXx+8 z^M7!zd7pCRPm5%5r|D_R2l~_fCORdMef_tTN3~AGeD#eU;JWrGy8o94)4q(Eiuv-7 zcc&vhJ!rn>VFC1$W#?mDRkJ1e6Lb{)Oc5CYKc7-ws%M`C7g5u}`BuuWWcx)J*W5ji z`<&}yuyZ2YgUgX`dqJmdEcEp=`d!$#J;i?3we!$?r_Z7N&~q=|H9jsE{1*Fe!cV6b z-TxwBKiMC3Xx<(6U_U!Yo{|1tKbqH_2guu5F4sGXWRW z`ubjQadIvE;c43=;eR--uj;g!{M@`*TFz?FJzyFY0~fUl<9^_uABG>ww<+c!wZ^?F zzjuA7H0VV-;Rf?nwYOs5o3w_o*QuV^SI+(ZG@mldNGEeBt@~yl*z<#j!THG&SV#Rs zYnoTzd~_~iiqgGWoc5uTKcbz@cW^(LZgkIxvaM;pTbkoOlp_jZTph9)-24_j*3MV> zP@bV$P=3pcM9x6mg2&@rGk*hrL`Epi9e2M<`{^Qm@0cmC5oiA92+pI^%7gaF!K?B9 zHva4BcN<-?G&su&!2TDtdXeAN3Zqmjw;(>|D!q%mBYp3)c9)W@KeAO<*vTtJDL&zU z;&&>3Zxgtfs;L~gRlz=~3hF%hJNTJo(Cg7X3*alUyXl) z_&ANuk$wKk#CZ`~-^zW^-)Y;M_?$yn7a?;~JsVr}l9tFkjJ} z?qQjaQTzMkNcc0>8}X4#j?p-6j*hmRZP1jDT}p$!p0Z_ye-7q1I>6q!Sp)IcaWOb| zs`N5&ljenzZ|b<%>d05=sEbjQABykC(Ynav;B0v%(wSNU>uZXnf$O<>!Ohzj;H){F zbD6s(xY#lQ`<$1j-&aLNZ*Vp~JQ@DCISU}KkrMFsp z`EU^IWru9&aL+;2X(Ub1&J?0PnuoOO;Me*Y<**R%bw|ILtaa29SKLH7kU@P>rNEsvqk88{O$wNNt=UvRrTFH!;Y)JC=VUE?lM2+Ii?ZQ@(}0?%EPu1r7o?t<*aB6JHKG&V0%zMYJ#S0X2~JEsqXC zKQqi1=S64yK=$zw;Ihi#K^ZyY^2trWbtwJa$`NG|e^Iy(`8jF{>Et;i?YQR4Zr~!7 z{_e)lgbap1wc3$=ZCZCVyZuDV`5of=#Yft=GdtjWN@Tg-zeZD_&v%athCjtz-(!!W zz{T{+<1JSOKT!WQlfhMS%9G_OSAO$LAmwQ)D%{%ZH-%_k%_#qr>7h7ZPB;2{D4%#6 zI(kp<8P;BmqWi}gvX91n`~h*$;dyAjVT#5r>4SKRjrGChKFaguhIMT*Zl)i&6O}^x z-}ByzQanBpS606WJ;VbCNe2I7;rN0m2pw?0z&pjz`HGThE z4xO{LU@unBr1#=RmzEh;{}jcItvf~W?B#>}jU}|hxU$9#*o)#N*J0dJRft!94z5yz zmF0RTLOn;{m-%pOUI_e(X8*=&t=$i}4 zlc1kUd8a758}nsDy3feSvFDyHKL^s^N!YqaYpuPgP49t9K7e<`{5yAr<-AV?io-~{ zCwSG6WmZQPqjO}&()S#9TlbB%*JsLLzNXG>jLXl;UC@8Vp~Fvm!B6(v(2?NtdeeL# z(EH0CH|Y;P@;%vCt4BKV6A?Gl&;eHu$$wL+Eb@?A2cBUIo+?y-zU{_(~9m9U1{(wTi1i{&p>&Q-aDT4 z0`p>PQYV08@%hUN~fekFGn24`m$$5}4F^dh_3sVGI(CCbzOTY|dtkp51} zJeuGfsT0G=?!-F8pFj4*{iAn$2CmOH#5#)KY9LRR!MnlLk@JWv+Zu=O4khZ5{R#Sx z)DP)*RVu-??f$n zH_g~<$a{GT>9f+CX`Odujv=n@#pUKMk~89q2*+FN&pcdmkMN?nUQOw3tZz>xH=ARNn;H%iFGV z**$6s^!;4-Wc3lG7xXUKa{kH#b#=ca-IGqSu^Bns#FhYex<8=(v+X7BdETGyH?i~s z@sXKvR>v&c`}`p!yPf^{^@K7yONHQ=XeAAobmJLd*xhi^egrL@F;6aUe7jZ7bg z_{eul=pJ}k8up_20QhM}H^w_C-CEJO<>_}0XF(mx_W~HWvvL`9#NC)4c3!O4Lef$9 z;E#E7jLuyT%DdPUSAO^0eXO0A98PhT#lC@#Q*P^Y%k}Wf&@snrqSPtgxIbk_dQaud zS;VhAqxiRYO!b%aJ)tgLO|Ux3gYH{4C>#20d<}o=CtuwO_Tp?D?smu;qRC_Tx!*bn= z^i#6IWjUSzejpTFt#`$vMvXYj`JSHOCO`eoZJJzIY`OEA@(|XW-ZdGuBFaC9i%0RW zcLsW5Um357F_xR+bbs=QLg4yb2-eF?qIX~S^Cq6>E#f0tNz7No3<8(#C2&uwu|>gU zVn5uUvU~p(R$n!y`(JN*iT%lc587rq_xb>T_>?x_%6m-`{8U-Qn?;d*P;RWF8IVl= zM@|Blfh}a~-07WVVebU)rTsaJ@*nl_7TxpRUrRf#j?D%C z*)Q~WR5ookeMfk>?wRYZ-xVi)i|-wloAhN*`aM{-kDQy4qa#{TK4S{J#5y|Jg_nY_ zssaDmKjmqD2^E)E&fNk~SKh93|LXBCmb0C7e)Va}H`w*o(Uvz;HO`@t!(7Uv?T>3{$J7lHpp;QxmR{2#wVNH+ig literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/20.npy b/MP_Data/pose1/0/20.npy new file mode 100644 index 0000000000000000000000000000000000000000..c865f6971f12fd626fcb71d9a7c6fc03e909d8aa GIT binary patch literal 13424 zcmeI2_g|Mc*T>_ksCBh&t;SWwI_jvSYDwKy+46s>3|ASftm9XJVEw{?Nr zTVfU56I-#axN9r86=!eqIs66Bug}dddF7pReR6V=oaDN`{M@N$$1Z(yu!-!)YD0$w z4Dqk_HLuoec;jj{d9~qV{U`Vj9y4gH|IlHMw;4P-U|1Fp_+jw4VOjO+bsILUSJSg5 z59a^Zzx<3bv+J{)URkAJWvwfvf315-StXzJ{*kNOsWs8A*B`#->a6mlJFcC1y+u1q z9*=f;?E>0G0=4tJ)NXR^L^~Vs0PVc}WIWF&Q#+3>hko_KWVEXR;;z$|)u>&jHN4^a zHH$8x-BfOdc7E^;`j@uqb=R)f|4YxG{|4>$8*1mBccXvN=^Avz=P{{HUnFKfzx1~& z?s=ZG0{KyY(q*(CdkuXvZ4;i?n+!^m)ZmtDSGOoWqHuRSC&!*fySm_U+qJVmYG(=W z?l^t3An$!wiipiS@%(M--wgitceE!~d4TfYa~EB^81xAJ^O;q_ZIQaDi^-`woEjB{L4eBu4L8MXQDm$qrY7{>(oBM z)rA;~=jEBbcwQbUa@Mt*CUfAooY)op%L8liJWC5sckS|V#y_Rim7;cEj7yiO-W}~rs$gB&V&~A#12PS`@6X<@ zRHuqy-tDwwIfbiF$O(T~!0aln-NsGE`Vl!x1-!;zo~{(F%c4K-Q#-fF zs>?y&Vtn@AuxhSdw*Lt0OrH4?c5>9}pOdnE{hddzi$N%KG{^%a;&2Ra^`AN@k$Jwvx#5;a@)hnyY3;9OC{>ClRFS;eo zaeL#z500yzx#5pZ?uR(&sgLG^i+8YR1*cFP)n2SGz5OvbKQIGaollK&_H5xZaMgYV z+0W@R%W*yB6}T>S5S&GfigsK)BhGK!1Gh#0!FbJ0(l-Z-V!qX%w_wjoUxbbc=mKtk zdN|$b@a5$xp5yCL`8IeZc#$ixXKm_(>)RQN9k!$xpDCU4sxWb(s3$ zNq1*>Wyy&2`|v}w^rHU%4G3^L{BtH75NuBqTwEtCS=Mg#4U9e;$_7m#DleY z5ra5op}4V}XaTok& zy`G~kVzbZd%nisVqU0OQhpdnT{-~V_abQpD(mds_2F}lAAkMtj9P)ePr+<27&4;`& ztgkEiILhNX<)|8nH{UyHfzuJ6t)p=kY(?`hay$GqCq6)*@7)a@zH`S+XK&UQgT0R2 zO8s`~fq9hgZ@@p(X&d$bz7+Dd?M`v#8!AKJhV{g{V&m@7JehhJuWpbEdw%>XjjO^M z=Nu_OJYYKk}+hJrM5vVLmNszVchd)1)3k-Zo1p&zOix;L4{x)`?wK0rsqW z8;bLP4kDk3FUFv*R-8b;_R)7eoj!kg0^?OP24K9bcWL;~hed<)#6WPByo=&lu@AU? z76r~f+@yJb8wxI(Hl_H#8w)Ple++JF?;`uz*C@^_tCN1t{op2G8}hcjR2*E-SPw47 z{)G73xf{V%>3pRBBz-yN_g?mX?7jf@^2fW-VK3*x-d>vxuI7G@b*?7;Mmi&Ag0n|Q z5H}MOL%e2hwf~yV^3pV)HnOEZg^}g^|P0)^2!>oPz4cRQ@S-u^>fQbE)I5oW7vsL zH$X>E?~C(AZmth5J+l35&M5xD`@q$lA4n&q0M@x}+m-B#_5;^{ZGycTxgA{l^#*6N zUyz?+Y1l8iRwZg*^%>>Wz)Ij^p$|B(L-Ax^kU#o4^}DSs z`jt78P}hexlTK9GF!cLNS@@w|4+0m%JdpQ-PgycF&FWr-zVXL?qLKO)z*!OmV)-VM(8jz?)%F2=ab9zo+T+ZgLs zmPqL8bYzLE6t~CG;I?5%1oT_^U>)1Z%SmVE=qSh4D1X>%nM8S@;mwJT3w{^&?Al+X zH)_=s$8~wSf10m6@3=aDatiTL=Uzis7iocUnfdX^GrUl4aOoXE{eF>*^`lqyfUXMb zOY3XMvaU&4dS+q@>Uw=!lzh}6%&&P}1M{I?4ggmZ{lc8RjVJ|O9(EG`+bMT2zbw?3 z^xJ(0e{_xxW1T&l|2gc{KjHA7&A#me-e4_sMeT;*I;GqYFXzu!^c_a^e2I9P;(+=sur=rAsnm&6G2RWM7tG+_|VxJH0OFAM9{>v|WqaW6*2iA!^e3|$?x<4C!GSK3tWt;W3AYnSL;JMKmC^!O8;Z+wgMLUX$3%TZ;Bk6TFR zR|VP^a!ew)N!pBjuB+aJjz}`_lld(|zw(6##r=zM(N zfb6HzJx4#9f^%P&@B|kDt4Jq7V19Xn(%|ORVsM*$n|P%}TAv+#z~z(X=-2!*3~}TQ zr(?Ww#V>Ro-JJy;UGO7%u16>MqXXzYhgbg%&xtbaN4vQ3=d|Btmt(|_`q6p%cN6kI zIs3hDR6pb;-mf^>?eT^`>cJSyqxond*$+C2b{Vml_R*%I;Ihmd#7BD0o8kIZiN$EW zM%^JlD@HHHJl;G@{$Cvku8uFq{oHKI1$*0|Ik;^ePxtc_nin0^56{{7$KZ0-5$bnj zF02#fF(3ZO4yVYj)oPlr@{GP$l%exOe!YqOEW9Ng{yZ;&{&-w5aJD3SUw>=C%`VF4 zs{I+nM~fq9fwf?+S)t^gOAb1?6+8GXNExl+LS z@`YGGqBq@>O=}N~OZ1M$yxT!-FfM*_CQ4Q@gY>_fK>arA0Do+=Qq$bHjG^~0wSOs% ztK}u+XExlxUXD+|{PLR7xVNY}LD<*&(lzpDpQpFeVVm#KdN`3t_FbnS&Z>G6@}BNc zg1G1H8D6g65@j%6R<<-a>(LzJ6{SYQZxL1yrP-KC>pyK7jjKB4MSC)KrR!In84j+a zio+ipGA|bXl%)3^5p)>sa&iHDe=y_gq0aKug}-`JWsKK+{~!1x4jrPr<(W$Nv;^`~ zy;%Zo_tqhQ)+oe>rL6%sD;m*$4Ez9H<9!!gKZ{15;o}0pc?-&~{MFs5&QGrUAwF`* z9`vs#ER1yVk?ZcmUY($Ir{*3FbN2cG&7-c^8TP87h;Ur~P@3w!JE1h~GQwehVIA?C z)lllxmRRTNG38h+b zv{&f6uZk7er>fo-a51$qweMUK>vZ^n3#iNW?@{vQC$-~p!!6X+ld70UVb{_<{KZjl zbG`t$uCf&KE*FdhXBFFn^9i+(pV{Fj;Cka1;H+EjIHzwi?h`-q4e7*vi|<0_c5QIm zwh6{7+HL6X?Ag4Yq~Dm{FWAS|kq^b(0J2Y-P4;{8V;`|Y^t`Pchk0YCU*a4z{`B2R z-WoycqSMhC81F>d|E39}ehThD+@#M_8qe`wr2pP$rB{|ax>#LslaKE0cEVwtk7j=} z+E)u+U>)(l%kF^v1b^78n;FpIdk4&QoXL0^zvp{!7Uumkc#o5$--_0QcqSJ+u5!Ep z=N~U1or-0(<085v@fJtG<#_*S$8Fz(;Obak8gEqkJjdm;nc(b@1lR4Z!Cox-i|jvS zzgHa{vk3j>`ImU@4W#pW`cmk$E=u`g37u=gYw#+^+1ehk*UJ+r-}W0341Vz~@$Fy0 zPdg(K{@V**L&s+R3U0<|#Lbqg4Q~9GfQy55)_aJ^_Ah>zn6r9cMO6Shf?Dw465?mG@I5;UwUuDvFCB1zr zxXIB|Ic^SjhK{WhLA+v@A&%S15!COyKfu-C13x)G?H00ECFpysY2}T5p|1BQe+KNq zI+UsXupiCYCV1X&vB>}C!c?+9 zavYpjErz@&`j#aBs?h%Ck!i6`hwbtvf130le_}kAyK%|6v<}tjm6TVfDBSBDzMIai~2PTzK7xa`rsW2H5j= z^T^-rCBWs*Q{c8&_Bx85xYOCot3G5OQwgR1{x0U1^=L-CHsv2<|H1jf&j*8>mdl}U zj+G0Cj;8NNruiap+hG4x$L;0%a-=l$K8Xz{XUKCGg_0*!2t57*`!U*UL3DO{hsQ9c6R$y+;e2zPT)Fx z2spQkD4xr|C;Mgeoz{$7KO)Kb)3gh?J(>M`mfsVy9~eNq!ZPS+^;n@_?hDR>SA*M< zg+_oMr1uB*CfbCmPp*}qPj#|4t#5=mt_I~J`<--8lU`p0I?i8FK4FbLkl$Ej%nZkM3Hm*h9lrv7^CnNE zUZf9*xQ!vLSfJ892IL95D%Ew3;HRv-_=d}UD8ISBhSd> z>^%06zJJOynb=2s%~0~c$8qSWr}uk19XW0uxbpabQWRS~z$=UM;K$@o>8;rBEN8L3 zj_bvg&uxK)&=Eb$jC9<-9z@UQruPxO=HL+MOvqk8?`d7w?=RDLr}wlU)db3aBCe%x zQkIUG{}puj#;zz;_d8_&YBK4kWxtbL^Yj{(P0^zE);Eu6jim(CXzbv@11?X`kf&!QxqzjE3| zoOis+x65JwwgLRH^QR-vn@>iraa=EH2z`Dqmd?kI`yvkVK{?o)bJvkSO#`2JXU}4q zlKeI3HFL zoR6m8sYNY|{bIId|DHOIzFV@$nj4(Gy!I9RXXno#4zhCbU%Qj zCu=be$p5Ssoi8G7GyGBa zKTB}^s&!AvkK3^rhfY5Ld$sRds^6H1IP;GWY;*Q}JDnFi@-6h`keCR^O=NlUryHIB zw*SKg&QG~M5L~sT??7Vw#QxbogN#ox>>JD@>E{C{MM)ab7 z_r1Zm_?Aj59cQ0T0XJXlrZ~sU#(ERM+4ru~+4tC#n^^xmfpo;WA88%~E@2);IGtbe z{77({RG9XQe@lu(sjalHr;S_h`Zay}qF-L<58|ihKu6sO0k=n1(faot1|1th`;q;< z2wd!cf%gu5A&tfrodB-pMc}jTD9!nG$j`Fr2&zvihEk{2k4SRy^r8Hw2GG5U{XG-s0voj&b~1Dr z#re9YhCj!%^MB}8aI>%r?w`7BQP?Z>HRe%YE!oN0i{5*v->26RSLuCayW_mA7q~cC ziTv;3k9gVy%AY!9H|4{;Hq7~{@@D6eE{<8l0W)bo88R(B%c_e3l*h?r_}3(YW+; zI!|@^zXGB2V|Kso=yzw`yUi5G_4u~rf6Wx=vG?PH!Ix5=RQ4gb8eL?v<1)HA`Cq&S z;=mTa>EJlOOXsg1G#B=kB@g#<{^X$iV*F--i{^9v99Oxs&xP=5;Cysj>=(Ic4f*5S zitOwADdaaJ(>HEE6XU02!R5K3FYW$7$V+-X9LB9tnzlk^W ze`0d_*HMnkPw75smWES5UITw{oXNbXo1ec#$%bCWzB3txp)WjclYXb?gI&M&7{$|k zF^1yf+iJAaF&#W%&$kW1{K_*aI0xmJ-r(kbe+#=(weUWrE784C7NGBSI=+gZ(`WB# zeKMX7e^jW?9QPdCH3vHEZex@>m43HkhbN+L>otTwQt?n{ulmz{Ks5gn?PBa76o)y9 z^!$Li#B0Ap{H6C>)J+_7?z=a3BmzlXaDWBA(_d#`?zGui90hCvd-Ge<} zG6(UInM-lcVILPkT`XV}w^jMEAK6jTml+_gqZ+ zD?bNUeWLLlRdl@s&We_!_16C(=3SJ`gYmFO4aj~$&_bu99+V}XLf<1z{yoT(=9l8& z`T*sBGxP9jXK!CO2bcZmJC*5O73Z=UnG0O?pzn=*)vGvXFH>*8A6tJK*0V002lp}k zd>y#BG=+HoSIAdpD&+y)vJ1HR_{waI_fQ+ys|}^VS)L&{$8}EnzjJZ=7V@OLG$Rz_ zVwq$=D--rIc=%q&xgAY>?B^(Lu>&f}#o?4U>fBVN{pB5p_f0;4-e1J!*Wf&+>QZOV zFJ+&P0hREaEIfFL<91me)b*bqp%g`OEQWrreq>jH?i=diE#yx=kn*J6K>OZI^k3%e zB*d44B(XD-)E|jPb`Cab9DbT_beVZx`XNtz3yB9{zWsYmkX-gfZzU?=zW$4 z_4fXI@?W*Yb;Q{?9hGtUP|y2NJsX$=|GMBc(ka#RoQq#yqk6G(-#_ks-G?I%alG$k zSI@t^gTCmJi1*D)gHq^Bw_Lq>PWcfbZSbBNdy?vp-9&wS67qT9nQ z?tS%){PUpyTyR{f;wi2){okK=^=8FW_?K6TfNP&0slCCuH#rXeHOih{ri9eu3o24IN_dUwlC*gse5gH>q;{|=z*)Z>DnSrmK=`vb+4^>U$#m- z>FP!0e&?M%Yd!=1`IF!AJ{!OPv8&gYpYC+^rcKBbl)d7~f5#d7QD4Rn?~ALkf4h4A z&>QdTpUb4UdfBnhZpX#$r^vq;>-E|_>lhL1>UCu6A?{fY?u`DIFXy73_bnXfIRE}m zUsu|9#s77s$Wiz+o|k>U74;V<1-X*75g1o|>si#ZjIWL3@@%VSs1M19emCh4rx$75 z2Ii;na5rypSFa97qaWqi++VqR^M2?p$92abZ&zBMhIrrRZ-#nx?{BGA=dXfJ+Z|Hq<>o4$Uaiv`;uGfY?R@Xm+NPCu-7ogunE>_aj z%e9}N&v%rfxQZmiC#P{cv>3)a&zBCR?tV@?uC}MbUgYcm&aNMs>A1;zjoNwsG0nrR z-t)mT`q8}k>vwwZ>Pm|D>>mTCT92tiBZtsnm?(BuXz_Td!h}Myy z*zu0@0hZox@)fu|&~l>VlHUjCE&Z+rrajyH36mUG1+RnK%gZl0ZhGJ9H;HQ8}J`YGw>-Aeqy z=&6p|7sPqOHE>p(%>e&I`le=P^tXLo)JH_E6UmHgZlpB3YwuReIePG#RnI@j-yh2Is!kuN!=BI;#m@0h@}cx2)o#Gx|=fQv-$fzF;C z9ZC9o527E`$MMv^=l9~-PA!6dm$|0@>g?@M;-C(b; z)+L=Y1HsvuXqvy(r;z<$QQ%_wHR#yJoyguN9-QA;LF2jPI>f1KKP8i!zGn;_( zXP$YsW7QnT&8phqrr;rzqQJS?u&?%%`f=JG()(Be@yjbT?_|HG;LI+>dSaHprhfV( zJ>oH8)sP=mzZ~^%(UQcM&PIMr@N_(L?sX;5#SwC)t1H!+q0m)rkDy*Xr}3#qyg+;G z=?aKTU6~T$;?$$N5RY7oeA?LK7>6cnLyRB2@h5OSf-iLX{M`W3PgfN4Sk9`I0G;fM zsXb$B60eznICZYK&}UaSK*wyTg8mX2yvcspYU;-V55bMsb;Kt+ZX*AO{-AzuKzWvh z3qYS`%8qfx?%ssH?ov*f&a2dm;HvHl=!hYukWZa04>%vQ1?#HXpBm-jH<5M8 z@40`FPhMy{))Vpb42s_t1h>aGW1R5s3Q-=H)Pr9;ba}MXVF$zMdCq>Cf4^?5@3NYT`Ka%{b=9SRr*nW-baGlcdf~OG0hA4DiQhQT}D&hk^+zik+A{sOPRq{ zt3RNlGYvvMWn?jMTVOM|&EF02s}erovf~nP@r^I~-R4|M`bE-1Uw_`cz{SsR(tMO> zrjpJo+VA+M$z=aSG`Ly$0PBX)yNGWb53Y`m0%zA_z&UGene}=t2wvg=076!Mc zT9MA1Rp5L=0Cd!thTuGPH@N+!0sM;Zs)MWM7fCdYZJy@xW(RHp z=iXgO=gb3|cawesSAAN8i);SW?{W>eNofJDd@oa+HBZsJNX<)rWGs!J#rcR|rTobr zsqic2l_9$pk5Sswp7YqQb(j~dM1{+)o#xs0;Vw>{(2&-#sr6`n^;(VbCYPU}eQ5PC znx{PuBOcp;@~O7w#5j?01F_Gln*HHVW`02H!#Iun%TmGMqE>n6>kidm&$9+loEN5H zzO#BWu)munb>UZEA3b^s1N6nZGKhm8$p9UhaW&^VC-LJNfMr=nol}wM@?}0EN^a#GrBpr z*`0uOPxs$Kaju*PKXTn$j32SPE3LDUGf~fLycyA*C5nWqu#)WLTY&x8wOoeoRL zNAG8*eVHeHk8!0gTt*zMb28B1TSFW?O7v=uI`*M6Alp-k{?c%Gek-v}rG;Tvyw0AnJ?gbiG%O(&%8IALp zx*LLVY+5EjN6mRT)!7@rew63zNmx(p(408&(+Z`)^j@688i12?0NffRA2iCtTQ%eYv_tSP0?O^r*6$;=lA|zdcNm5 zPv&VK<+!b1oW@N=W2*Ow#JEy1-$Pd??nnG$)eQ8nOxGLws%9O^bM1VXM|x0UibIS= z{Q5>hh|@Qm#-F)dmfGceBGk3l7C3=C>!`=br#X>pq~q+@d(aUbgVCQV_~1Cid0-al zuONLHG8g@#-jAX9d;ACSvzlJ8=NHaWeqQ+#uiSMAbb4eYo#92n)zxRAj;nJks6WmW zr?|GQ!S{lGbpkqew*nWpGe)y? zlaAjJtOKfMH*j6>7jXMk6WEK%MKMnF<3WgvZ_f8ypwm$iu;*)Ypfnrvpuf!URJ4l? zU4VXJU-n~N6(_5KoBn6PwRbY@FSUk&>tZ>GePRCxD4ILSxDc?^E z+tdsF%gW}2J$oJpF0&+ptL=%Dmtw)-BIYI8Z|X|@)n+*LyU+AV$V1(U(BX|{zaP6o0R9 z?2oLD=UkP359&qT_81Rpix>1wor%bg-u`1W^i#4TZdU&S+NXz2ng{;<5sGI)GirAw z`py+=K7!kaWx!d9Q*f0Ew=@8Q=j{|)i*4+qGu#ysMw@0Igw z%hUd${FZ{VIyB$a%&*~3#bgCHp+_e=d)|}cwx2xfdA@>Jx5eJEuov-dVJ}N(r1tvK zx-C|gqw(pN1LH^A!KAd@c0(j6Tq@$#r2b-W?k4;y1m0;Me%gqIQ+uL;KW(?PPx>5&f(E&O=|19*Xr# z)V_dt%$7~%kT+jT<0g#e5t}{-=N7hRH`W1L_FL%4at*N0ikjq?o$&@&S9j5T^a(@! ztUs;mw!tBcb1^8M`m6dYs{gIqBE(;)3q9A%MtSSdW{%@5WCyrewi~6+{y`(oH~wUQ zzXaknkH4e#PTEHKU$h(TGhuWeEUM%peqlB^+qsG2tUQMD(|IYlYI_!O+QT1cUfj3= zZdb3S@0w8q$lr3R7uPq9bn(a*?U5g|bv693m_m~S)3^=04SU--9k|S}p3a9k`ok~V zRhxKnD~v0)!qbm?YJ&4-MJGCaU5VCHJ~Ah`>JW)>E-rh%k3QUlo*Fn2-vwe#Im*vZ z8^O(jEQ6pkVJr4;JB04l)WmvAU7RdqJJ^dMzLfuGU*R6W_q+U?890Zt{K??*1AU*VWkb>La!@yLJGn0W@+Yq`&TTy1 zf3m;m9$FrM414{}4cN2!RbX%Cm&Sc2dr_MFUZCHLY;x^j7pG}K-=TIfh1edPU3_XU}?9#d5V6A41<9YEs-x*hfWyn>|6uhpH9=d(-?DIGfXxc(&KS!hZW((!V&L_)lNvf{)CK z_L}1_Db5kOFb>u2=478?J=QTRI*xYsBK$SD-Ip8oI%=?XoR_E$9ouXHxN6yVljHi& z(v;5t-vZ^h?e7oHPUWY#bXBYm@{VpS$ zLPt!!fpM!-0{S_9nPC*TT2A*5BJe!Mzo;@4To%~}eS19?`;Po8JH>sB?qk{b=5w5m z@v8@W_LA;n#Y~?CE>5nWfE(}mSXWKv@K|TB`WAu?n|lykzgd9sqwiM+7i|w>-O?S? zuXFaSGwsvnyU(zfQ@Y{&V?I&8*twqXg5@z&oV~ufg#5-$fga!HkM)_CK0&->1!~9B z23wuI%}VD^TQooFZRZc@Umji&&uVpL;#1$!{X;V4M--y_F|(#Y6m(8Y*hxDB`s#hT zQHZ~sKc2N;XNrH~n0bzy`u${GuT9^mY?H~s!D@)v-P zDjM;NVCBJ|&vfR0_$4DXrfV%Rr%ulnF@RS4cPu*QSynK7&y<@>y zo`VsN+luW-XFQ!l**1aiFV(}-uhmAA&IHjJ@x0)$R~<%@U$3d?7xDMkq#rv9+-|xZ z>C0uUhm^7#StS5#;N&T9S$dwcxS zkmNLbR-^~Gith(~RpWD2r^BDp_&4{?T|yjBf=0MfDB6E*N;2(_e;t~S`jj6j&UW;j zt#9O9;W%4U9{M8V1hOBMmG<$Qp7tI*P5X6Jwk6Pys04d{cqsM@)1k-P+RpFalxMN$ zB=W}cevR`R3#Z?=Y^Tex=LHI_bvkx^F~no$+#{WCHK5P$y@Ng*Lid8wD`^hmJhTSf zG+@xTXVTL-q&A(4c)2amkyB&vJt80chwOtwiJxyi4t^WceBm{g(>dX4wy0zmPtPWl zpH*{7KmPb?XRkJtCq7{x@}STDiFHpDE)9M4pOPqT{iFp>M^A2rXWf(T4|MkAW===s zr2SFFMZ>SDR(-qU>=KQ0^_K3Xc;_lZ;kR*5iod`k#3Lg5W4?&&G_KS^Uy6TE^b+U< z_klf2@x)*6z|`b4d3ERxxVRFAQl6Z*&Drw@G+$(Ux~G@(LvWr{pJ*LcIr_q{R*iA* z#60^WANUFR(9IfS{D^V1pK`Bex1Fx-T?6YsUrzfqOI`*Y_HPQ#W2XHxisKfoSNxm4 zuvcFR=<*j~G~Rq;H#j|WvN7z{@2SvNewimZE>7kIw}n0X|L!{p$!T0(>j!RfDfpFd zOAdz4;+oKB!|0xmHw%SdG2t-mMecEwPi}s5_UdO%eyhwN9$yUmrhQC#mIv38USQ6F z&=07JXIY{K-s3B8V*Kb~bU!RI^tj{fSkF1*U1`IDU?&GtyY#I63&Ar+fV21wXs<|Y zwcK%0nC^qrkVwSCUucYf^E-_I}FHkDZ71PVt<7M*5I_**KiL7j$-T2_UuaMLD<*eFo^|Nu#fU%4Fuc$ISq;vcz4+B} zp4E%=vj?Cb)!WyN9k)-mfwO>%=zmps!$#=Lqj9N9ev9~3`G&|RyG`dtb8jWqCH^Mc z#AFxeN?K3Y=kn0E{ifnOPW@9Hx~3uZkL^_w^N3BOcF8!}PuZ1S!<-JUU4`P=OZSr| zSD8_c>wJOWw%?!7)4%*Y)^QO=zZ2*ux54d-_ahKb0XqM%aX%mrcGQ(#U`=!Oy0jwvSxIL=-#gbqJc3!GK0f%Tb5`tH(u zJo{T=>KDI=o9(l88>f#>5ntb5qYx+G(9lEZZzS&3X8_)Rw<4PBKiF3YeN9P7} zX)OH8gEvB*z1^Fh+CQ!&N}f24=3U+_(6`a&p(CmVbxU^o|NHw&o-pJ`6q$hbvH=vQ zZV`kyb(>4LM`GDqLPxx$-!09#jyT8K0^fkE-ZLrBbFbq5ocS*T=lAbYJPSroL%X6T zfwOY7Z?m$+hk!_^i9$)K>HM5SrF$O+jKp+(J?6bONSlIeZ>#|Lo!%opFAayN~CR_hz=7plbSfyqw4a4+&#j@EDHoh9CJ zdzJF6vSmiSzIGwnaXFp#Yf)+!bof*|$8mOx&LMVTHyS?;){hT#_E+L4j>`1^X)G*t zqT^=YX>gUC1NJs4J{$keeOx8dccM-@N$dQ#jV3t1D%f)l9PlsfbyWEs zjx+yI=$o$!lb`J=Dme`sQ6JCjWkJgSkOR}fd(roUJ@Nuvj4eOUab1+wHy)TD@7YZ~ z<~lB(w;-LZbg!baWy8H9521S%z0$L<7A}PKQ;nzfoF#bHr=f%AJ008l2k7V~bY2#N znh5yD7$62Z8q#yhS{Vs0x jUg)^VkOAYttflqJ-rctd_U@hk{{1%t|INVv{|x*Og>6f4 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/22.npy b/MP_Data/pose1/0/22.npy new file mode 100644 index 0000000000000000000000000000000000000000..056442edc8a928a32199d81bd14785fc63f26f6e GIT binary patch literal 13424 zcmeHN`G1c`*PaMsDQb-%jD4r*6D=x3REbs=)Xu~bM3BT5YX*reRAPxGB!iY%Yi(=I z*o)eCvD^~Wz6(WpGuQdP|G@j}`{bAT%r)12oik_7oSFOnW?uVFKLmDlW24x(>izl; z?;BOU39sHP^sDN1c=ga>Q6r*4hV~v7)vv$BTZe=X@1KJY9~ctRKc`=#fsaqaIyLL? z3H<;1SAa35mwDgv&1w0$vW{(4p^tacb6Ph0->0^3TGhh1DZBr=?ThvSx9zy;{T}12 z^DvC7(9;;_f4IiKaE*`If^qiS9gJ%ggy-cV8keWZu9JO;^got@ed$l*y8nM}!jH_$ z^n6+|jO&N*$o_)LH!vQW3oY+ZlEw$pxY)fF_D$Q%q;q!SIqSc?L*ugbz6|@ko?8*~ zH$6kI*l|^m##QZgc;0z#NGIX5Og#UF;v=hdr00s9rtwoZFwR}^6LBAJTYY)tv%g_y zK=JMNd6S>!$IrIBU~%D9?Y?cz(ii9Lxc>AM^Haan0xo(qqV?Fmdz0mTQ|M6tt@i*KE|*5Y_)wB(HGC_f(2jM zz8<^wj2-8HR)AfxF%SHAyf)JF?#&+CadG+hPRkc(J3XPhSGz69fn_Rrt~lwl&S0BCo{LvlwU9G7NZs1^s~Wl%llmqmShh zIed|;Lzczaopx0*J}CzI$V}iHqKev93=#DFq97VC=#Kd~(-_UrF-vQ{ii>rlpK|R=0bL!<5mOrB$*3INQUmf}t z-cf#MmLgv0&vVmrcxDIH4SnJf#zktHwz!)5jOKIqTjZyB+#%88to%jbdgcMdOI@#< z419WJ@L01YWT))5AD{ zCR^N0yaYavI(E%Br!V%kng+b;4bq+b1nVz5y+vM__osn7zxKLp`6}Os5tc94yag@? z3W~$U8<>}hdk$P&=t=7~`5X8nGVTJ`R|gUvv6S*I{{zy=8Vg+anmXO;i|oh1)u+Y4 zMg6feEv_#-0d6u4aQ@-hEQ|A{_lQ6H0dS@6f^YVnAbxml*6UER|kmCZWGQf_FoA8_7ud0y)KNFcRUs6YyB)e73=4`i9x(o=cALL)7F#l%JIOR zvxG57P6{*&La zj`Hsq#6fya0nT0?2d-Zfn`-%NRU+AYN$YNQb)Ri<@r@5~){Mcv>DDG5e(sE;{?i1q z>*E&#zB)<%T;Gd$%HHvquXyWDI;-c>JVHNLmha>Xr+k{>g>k2E>U3XgH~I?vV@V}| z>+AlJmTxAFfIcs>jn?z!?w>5qL-wN2Jc?p{B~P3W{Im;?=nGu@6F_-*btL$_tPgPg zsX6hhwjkXRy@0C{ZLoh;^BKV9!3e_lq(MhUbtj#`iNN`RKjDvY{}q0kQCA4Rc6O@u z$4RC9=iR9e=*x|;f7M6ITlRJt^u*wHD=c5#9Zhkb7KwN`uMc6r=$>@`%DHP`$9Wh> z`@)Utn`F13<5cxoWObxhQ|cGqidI%1nPhR}d5`p~{|em9u1fmbTy>+^SM=O~`KTwN z_AOeEFD_x-oWxu6pnttAt#1c6_^A@h05=Jv(HBLtuK3#dyhsVQEe{HZuKs%g#`(-f z$T!9BQ2sP42*3F9!Q-qx8`K-P;z<?c&0rUbwb72JaG&-SNSeHl3f`l>JOV^iV^ z{Bh!wfs6JvXn$8KkM))7v!O2rErE{Q9*XsnSw(36cM=KrY6`oK&!6y*?U+IN8`U29 zVER*>^-uYrFDB1JUdcXxLEp^Fh55>uNU~eZ0N4AXpd(I{0^eEw9`O_hCQw~%)f(%| zm)0h`VOy`-d77i)Q*3nQBxLRBRaZnx?fb&Bh zgil@s9Ui!5s=(6jJ8<(h9k|nE58^Kil0JV*^HtUEQGNL357KE*b;FE^rgQ2N-H+wmspMzZ zJ%|Ha7YM$noj`V9XOsWUzXL80{tTS`>;}7hN)zBJV=r)7-hVy=stlz% z)^-Q-$vF^*ai06~3OjGH`V;zQWKHm$%wr2|oHc7iyzrUOH+?4Hyyjof{exwbpN?NK z_%EMt1Ygwr0Xkw$FXTV>pn7FmH3x3$R>Zv6yJ&A z`LlLA;V0Wry~(`xP#7dmzr@YRVJZ&#OvN{Rr$e4(k$BjO>>A0(`T!#4yaO zd=l!0SlOKFN6R$m^QG;<*P-7)M{X}b_oz_U{*9vZ(>dk64E_vg2D^Ivbc%P^8H1qD zLZPcJr4lY8p)c-KfghscJ>bro29(ckv|jS-gTPg-(iFGl8_{QpBMCPtRNv0iym+;0 zz-2pz{m8;LP&^xj!;X%~h5R?+J*d7tkEM7-za4J<2XJ|dN`o+gsi?fW^;PIg) zk#Br+-c-zYbpzl|<=WJ)D@Ob7+&D0;Jn{r? zf^X7zhxW)@^VwNEFUBvYc2ii4wd*t*44(XEIz6{-=Msx+bqjWRcrWv$+Vl1v(Uj$!-?8Uff+iASTor6iVu9phkwte=j zaCEwDpFD(r>`XPxOI|LI`w1IK=Q3|h_XWoPK>nyPt)Xi!)kmD2zixePb!6im=!-16 zH_A)zV=b-*l!ILnTLa_l?`DLjmVjL`e?9r1WazyhUnu##<3I4nS+^p@>ge*-z~>hR z!hh3a`K!G-IP1L@y82N$;Bv{(DBm1dUc5$ePP>74vg8ZO;`)6CbmXs8XZW8%$a7t2 z5pYv-0CdF4^g))dw$gsk@to$HtGBZL$PdRbFBY61xGFnp6!30t&~dU|?+sVO!YuCG zPQtuYU>^7-du#(=&7t>9KC&xtXZnV*me1z)g}%(?NqE|B+IMGi0oVQV0vBTwvETKN z$?!w;D-WEHUN;SPH+CWaf_?z5bCm*LT`Ng>mDYjced5m~-yE~NM+Er%?Mu=hx*GA} zd+B|dpP!C(Q69Ci-}Roxm@l83PWf};3f)86MFD4TT<2KZ4>-SA$a=zeF9x5doucz) z`8nVwc_QpO$Nb@^i7G(;pP7br)al>(!Os>)XuiRxfQz+0eK6lsbPqI>eP|tfHi@yg zPWPbr-*}CD6Qh$cUlE;)?6%rYam)NJ((>i51j1j_`io*S=-gSmnfy;^0DV@ha+KwZ zPvfyJPN(mIbMGC#zE-D3G~#Ufwx{`4nuh%=R?vAbf+xWr8CwALP3D^feKB!9`5BRc z`-4dsOLmWMA)J??IFF0~&i}d!oZp&C>+)kO;y*1;7}6C)L}X#etjLsH~aNNU?KPGS(bX1F2#Dm4}!n(_N`hMkj{t8@8OvO5ynjL7K zGw(xR4jPDc*ZrFT*K>x_{Pv7P-ikcKVOPIs0KS?TNcA(E&I@zc6^AM^+QwgYB|n8b zy(gOYZ=f$;(K#r~9fLpebm2f>%Wso~_2vbZQGDhPrg&a9*pFhUJ8&M*Al~wMgTk1v zsmq98HU{~xUr6}vyuXEUdE+AD!`A#n^NP)+dFB3qdz$Ii9evT|Jz7@B!FMVhz7>75 zi|z&T@o8=6B|@qbzy3R_!{M8h#dY6R$mTxS{)u*0DXSU3$1g>59`Hz7NIYXJfplD`x^6=8B~YW_q5L1 z_hdBUAnE>R{HKA>HeAJhk|l4#eM~kULv}aBuJFyV%YLQzIDWr4@}}ZzZv{y1Bu6$!A~db zGn|7ud?9f8I1RY^bUM-Uozwe(Ge6?1(nl6poJT(*e&pAb4_^hQ0RP4hI3F^CblmgK zgk8BAxH?APW6bq33E-cd09-FFLGdY^jAVEVsCs5(K`OK9}ltgF?#Uyb$RaMZZI8_x`ESU*P(VR_+Iy*Rb~# zx0kh{@1!@Qd3hFI1)bh2q3<+UjrEsx{)&O!F13N10UqR6>My8cVitWj=P$bgSEq;3 zd*7>I@L8NU*{RY9`;qk+09?)S1uomH>XDw~zrNQHxGqn>BZx9bQCIb)?|?fC`-9I9 z73pR9y!|B7Il2kBp59{${Qt=pIJ1iB~HUI z)GhvW%Ubx^i{iLSoc%V6bb{mKV0UdF;&-L* zc--UW1dB6w%1^bC?$_qB#=hWh27@oQzD3+b*Ok%fIdm~N1-KK~8S_=mB15f?xU?R) z?0kaGpZ#}w13!BNxJkKw+4fE8ho}#xQzQ7N8r1>cIX7Vi#yxj|uhUy1&T7o`$-sYb z?XSKwVb_Tn2R^USigZ5v9Js0Uc8%pbE2@yr{I6&{Z6Ll!u_sh##C>{>pKFW#qV{(M zU-jza_;ET#J<1C*&qWvpY-A0_{KQ-|_C1M+c&xVG8&uShHvUXX?ioj)4!u7bCBZ1fO zAb#0?#DD(}_6ygPH|$ka)G;UH0rJy0rNI}?9r8bt-uFdFIpF5XHo}7^Pqq5y2-P3w z{2bsiWx+i|2@6@bMI`)^$yhrD$n7Im?>IOWn=8H;`GwA(Yx>X_O$N&nSYItO1wFR?f~ z&=7u#wv}(%z8Ev;XYiZU0pBU+55DvBs~Hw|mX`qEyrK6>C)-zBT%WBEz9=A|!;2)g zNVj}JaZ^|6_XK^>BhlhAp*?ie+MkI3??}`K)wnA8)5Z1OH8KtQDvRQ#XE@-?6?+g* zU12rZokjO6=dKU#Az>@O$5N}~1kvvVJgz!) zOuc`FHC|xI0*MiS)2A3_o4Su z-LXIJvHG9$(BZqOUYT7JezA7Ni?zT_yN0N5GBS3Z#icjhd(N-a{7stFTwlkUbcJ?^-M@8My8mNO{ua)?BM&){s6A zjfelHPp%QbpSkYszkA_1r}6^ik2?Mee(?Bqw=GZZ92sj{wWSO3zRtkB%#;Hu7%v<{ zb{{1HXBT&3pQ=Jpz|}|ke;8-`FyudL`#o^hs22QWyB=d5Rr@aq|Be1X!T3hbvHBvQ z1^kviL5Q=;uDIIb&NiygVoWT>zh6D*@GQCqvbX@?qIx`Z%;S~h=b#qAW#7gWpSCB+ zZaMmn#RsfeVDWr*1sB8ao-ZkmQ+MP3peMO)x46nf=ZeZKhk1z~Zh_A` zQv9V!Bl~k+4@}SD>%4Tn8&8V26WC~)#l>R!zee$N4*0U~EV`$8u0r1l@S`|iZH;|o z#*QUFr~Cw5=gB}m=zfKXf71)=DAIFe1>E1i2KE>w>ooiwRqkZ%h>6i_!--Q#l4YxWb z%?JAIz-01gm0L98(1?DgbRMSw*M}R9gWY5SzM6XwI9q>m6!;bB{-fjFDL&`!G_*Kt z>dM>7L%K)#B1AOZpMD<^p91k2aks{@zGn}D+qi>6zg zb@3;inSEeaFW8EEi21qz`f_Z3w8lLi`;NV%`x|e&l=NGc2(xyb`hL*i?felRbzwW^ ztLl)SvH+d4avJ^LjuS_ARXqK^&1*cP`{CvS&|w`$LC3kYyFc_JG~u_7z#q2y66KE* zM|d6jz0aBdaHO3VUqJJviup3^TC?jdZ!2K41T+E0d0LHw1Z z^H+t=#<=5C3GeUboh#0{&p=-vD1&

  • G^|b8rCaoa{3$-1@I;Z6QB{>GuM;>Ke{* zGe!~qt~GR+_fXU^r{EFb`ehicL;MTW6P>39^;c58;g7RXSJ|$+;L9fTe|PGuUQ6wK zoyn!a7s*#Ju67>Vg!p(IMxS@OPHoIAoFh!o`>7ms1NQ_oAqe}3ukS<8zo-8zl$$FqZ2=h73H`<%>JZL=Xq~2NtxS2}- zcPI02SpmDbza>0rCCxW`F6xQ+@&oM3x3661$d@UWFIHay&fZoB--#Yi>$r;ELz$`p zTs&Dv@0GGY`1}4z#!yk4VRDGuGW) idys5#S>zLNQ;>eIagv)Xv-p4i{u_b+M&SQR1pWu05g>j5 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/23.npy b/MP_Data/pose1/0/23.npy new file mode 100644 index 0000000000000000000000000000000000000000..c882145c8d5d52ebb5730642ad5cfa8692b9f2f0 GIT binary patch literal 13424 zcmeHt_g|N{_jbg+t%_n@x7H%=g`+AG_g3mcsUx7M;6Q{b0%}y;3kPm7ZmnqDqgsi3 z?^r1Zl{tKR8pAWy}bzkSYubiBmoFw;~Iqf>P_3M^_4P!B7`vgby9$L1p zQ?`EJI%O+5W&4H=jT{;{xL4TFKEW1m7C0~>I317ZA2=j9{n@KptySw zd{3kP%M`f<`;bqtn-X7PcgB#N&)Y`+A2|#i(eunD>px2)yMD9px_zI|D+xdNiUBFs zE-Sd~9sj`ls^LDgdTrLb)^0L=L;u{g$9wYjDH><-L$J#wuJ~>9cwqHKmV6J(_w%Dem`=eRkxv*U*XZ zznpCCul_k_pVgrY&w&rG^#*O~;X~Fg7tKCvpY_OwcwfHD^T9sLZ>>|UT_5({2)o>X zepSJGZ|$>cUHqiA%k{ZV!+vVrMceWRD?h@1+3&HnJ0qTLg*{h$@_Xk%dcTRsMQhj5 z(=J)N2ns>}YV#_*&mSy$X6>?NzrSFw+w_HPWriAfpUdedtlf0ucwZlhLHyXQ?9~6S z1s}m4cY3dV&k1{Z-?kz=_j}vwF6CxfJ71$C?6Ydo9P{stUO;xYJ#)dI+;IT-h22xp zZY%c}#(0d49XI+B158*;zN9{>bMC+y!1}Wf|M5 z;Wa4l@_J;ncG+Pq>>}T_e9-w=3V9>S`@_!bX5#73EPBHZi^~H?Jz)>|K>qD#@JlE5 zos*nyH{QkY9*e(9`JZ}2S)4z8foJ_kb=c+7&4{=7aEb5|D`*|wE43K>lBKEt3KL-$ zYwj$!xcXd>^p_Q*_xz%uZ)V-av(wlMaW`8(%&>gtT3I~nDLYXIoK#K5;^NR_;Hqmp;paYpuUbAK{^s3; z$9BYc^$pTj)$ajk?J`ZXI&#|y@Y(j#$O9JCcBIAi=iG=Vf0dEiwj&e4uXh@J{w*`% z7q-j?|Mg77h53KI=4;>YbZ|1-plGVc8~Y>Ptn^C6ncvI~T+WQ7c`5u?oYiqc=Myh} zAX<6jD&j9LKc#tU_z|tx_#8UvcIfc?4T+zW@pr4k%Y4DJ^WSXDBfGO`ipAwmQN%w= z^DCMN^sA1H0bkrB+-cku@nl{WX|2WmM`1*0Cy(0 zCVcKY@Y##;r2k6~;7(XLaMh(NaOOD>INMPH`78&lfuFL_Dd6gs2iA*u_LBGkR0sIB zK&)S#cGO? zh=XjNm-1l!1H$=v)G>231b&;p&Rz9Q_uKIc2(c~i-XFT!FOuvl6OeD>#dR7__b0$r zqYhElPp4d0;QHMJnwN!Tk%y*qGxR5m)&edY)mR4oBLiuiN4}v|6TYGj^LdN#EUOeo zo|qy5@So>;1$~uoD$Q4CgLvv;xyjGFV}Y}Kr!kLW=sv_vJ|05-i^DUmpJqZ`@WtGZ zXxWkV$Sbq@0QBYKJK(F9VN~aXcM#sD6L8k=8|7QISBR&|9E`fE-d%~a`eIrMny zqRxmX1yBdXNLm-_%2|rDm_l{${WrwXIhh@;sJsq3Y+ze@o-+;o>V(_B*toGz`{1{( zTM6UU;}YS&ZYF^{&zeyjUgieQ=C%bcuh6;>sb$IkT2a7_dtQojfv*@Z|Cot%A}2#f zZmvb^B8ASAX3`AO&)`jYekTv{bH)O9a=X#ICoHCZ$J|8Ab52@f^VFBEVNKF3@;?{}p`g8BPAoD+XLGZv&iF zivupUcc6T0&ngLbF&!{^hzN4)bw-B6{gf~RtfBtO?Z#s0$1mIp3Rj3a+?&ci;-w`>Hiv(%%0 z6W7wZdrI}nRIUu1i7|P}f5SQwMRp_KWR*XF^HP;) zy}$ew{)l^S&~*m$qk@)v}0oTqP@SRZy5P$KmDe?PUgTCo_1a(hObbzx!Z(8pc z{g7{RSOxSeOEf_%f<5AF9?B`Vv3_+0H;h~5*gPEge5zMwLSY(5Gu>u*`U7qc@;+M$|>URSj3s^QYg?%H?Npeqi0H4(JTI2=7;I zjMaB?Z-Ae?b$jZ^ryAA;zuE?Vve;^1oV6ua^(H>|7%GpV9>L%g*>i-^5V;aZYwaJe`2j;HxhI_icZ2T#csI zf4*fobooDdfb(tphgiFL<(iL?7cgEORYL+FLgzp6^*!nUJ5&kztlK6)UuWq?It}jk z20zrbzn9EG<1LXLdBsa=j7v275A(^3?TWDe2=`CG)unsDO;Ac7;Bqp?rCz*5>vaAJ z>%zqDrZ^X^PkAw80qTj$>JMC=c@I9Tmk)l5fVc2NPkI2HSKAwB^?CiN6yGx6ft#)e z$6H+8Z4O*Ms|tO#!V`RXJPYMj!N#OBW6J{HbiV8&z*myim(2GZ{j!ZO5FdUr68SIl zEk<3{(`mmmvo`@}Z>m#$u1V*7latQfdRIy0mAJGXI_$&*@YSv=*cX`ZMc_``Uhq@? z{R{lp#ogc!kB!DW%Bp*+T0dFxe&8nH0B{yPJJ^m_Uak!tv)BvsXc7)ei*t|f7_S-e z1oZ}W)^|-4s#;Y@&o@x6v%f~>6&-tD5e|1lsf1IFL;4IvAPCGOoaaM04 ziGOAt`M-Y;&JQ9a6u9bn0l1jp0i54zKssFtB0jwMJlY?pR3x3_QQ)%%ZyV$4lL&^UtxY;F%5; z$j`Mq0e${C=tS{N%5O7)k zci?8&Yt$KYitcOt_$b1|c2QkzkO}^=22U|warP|XM^6G*Q;Jaho&1QiGbI+dnO1|w z8(T8Y`l;ME!EataKltKYAm&jt>`VH=zXMkhg|WYjRh5YUbUAQlu0mfla(!Peb_4pN zK(`5q+XuS;sy=is8e=#_Ax^KFhyea)I z!UImxJQOcL>nN@(^*fR70qV@RIIF{BzXBJfX}vgoynw6b)1hkuQ^+2l74?}F`9k9j zp#5ClOMyS)vnS%EXAJ`1MBT)`savhQX8m$PDNn@$pOyBRz3vD;8&B)l6xxDyC&Ckf zt2!^xkM0<{!1}4*9U%TZnn#m)6Xr!H(SD@A)At0mK58lWuXlkjcicv+^K`HOdOU$)cwL6pv`WGLXtFgzJz^;XkVj7Bm@Ssi z{|yCCcBAi|vSo)E7FX*R0q5S+;6GpVY!>ua90AS_j|Q$HZYF?ViPooz@u2aZk505W zE8i4+r$#s6dhwVk7I(t80~g`9kpJv!M7+gKqtV1a^cc8$)PwlfZUfhW?|_@$XXaWy zPy7I!<*GpO>vNdSOP}*%ypBJezod#?Zuv6Q4}7y`4AsNp-Xo!N^F8SVY$P4NewoGD ziKfuu#p&M3j^y16{(n^nPx=w#V!JD^0pDj8bj0U*H2)h0kFvN~=tccbq&OK}33XdN zEdbnUPyLuW4Y6;U+wFntr`gbt%=e7Wd!u?2{~Yb7YS!uCWUGILz8CP`Es5Xo3f8ZF z)Che3x&v@=`fXp!=iZ}$OQnckH+GEmQ+hW5&X)a4{?Ch9X8G)HOW zns}c-+(`2^CtIS`(M?)_@64h5uey{JVsX`r&Z(y4LFniQv~TK^!QiX&6gNF=GU_e6 z?oRss=-j8Kn*U`u#~yT>!q*{_$X|&+1YBh}-ntk$LQxZ27XJLci<`{XWNg3*bEM zCU6nu`u%JBk2@^i*+n{f$}9LU`ffnoW(8;-^&I-WMHec9e2|5QLWhU+g}-vj*m2Og z)1CSq6bRgTl{~`Y>KFQ6$-msfde>Kd7Fyhdhk!3PKcsmq-#t3n`agLY>EEu5@$#Yt z20&-bM#49&fsQCuH`wB$%5l;uupi%Nq{uzT;@Y8n(BHFxFGt>9VR2b{FZe3B6yj{E zw1@*Pnvmajg3zyQdK7$9t2uCe@uXxjO28j4dvudqpH9~ z#mb1M3hhk&W^73OO@HDXD7sJMI!B2a>s1kzho2F@0xz?!RMXN3+ul*LcfQa;q<$V zcFQ=z;(7?}mvWIG`TzY~oW-3B-!XsMs~DZf3dcoQT()*czpQ2o@mExx0DQ3r`O_o` zxXJ!_qQy-L)gK|p6Tf<=@fO!|MC?DWzMiBU-K#d;Y*J=iwM-Bka zO4jISappsD;D_kDC~Nl<_D8j~E9uWl0AF1%&=darP4`bdVU345V&qh zzrQ(&eZs81I#v+l;)4UPTK`18YAbBZiev{aGY`Oe;j#ar?(sTlFVMg3+xO6zgiX!?%f*^TfOnW*l4{GqY+M|cY0ax4AL;`F@| zX>}ZRkMM5YZ`o&EYvCf>%Cfb|&-@t?2d8rQDvR^LO2nUC8GJQ&D)w>VQ3QO|KwzIW zqK^XqUKQ|-C=DG}=CV(+?Pn;(&A8F`Z$5e`o!_E5(l{#*qJAqzthYMmP&webjRdai zEP=i_{RR3W`$6EU^CHC499j=tN78pze!C*hA<~onFNq!MPX0_OihYC?r8=W0;D-_ zG4gB7S?p`-UK>2KZ-tTnY)NV@%jXMAKu7E-Nb@rL!7k`0kq%q57r5}r8DVjm5=6RL z=zOhf&Im%kt-k?xTGQ`%s$MGMCd<-!L;HuJUz20y^kl13lFmyyt_I#y-+QB9*1Q~^ zO^)Xnm&{#erqyTPXni^U4axufNjS&ysDHs1QD-m?T{p{W%jdgj-;o(hpuX`gIj}G5 zo38z$(O~GvVoPuyW1DGyc{V{hHFJV5OVa;UsKc+Zzo^$fno+?{V*7`%-}mzhK}h?N^+0WZPdT4^A$@yqm{W zaPHz=T=$4;MJsF0 zq;uL{@?RdTLUF#gbeZ*E@o4aPt{9q^>7U@gnwg9GtDOV$sPpXVZ2A1nQQ)ka>;JiS z&A@%l{7dndZaXkup5q^i=R{Y%UDyeANlbq}-umhM;Hs+`vqE2Fy^DB?Cscp*atHm0 z$`43?4y|7~)ph;}e>u$Rs9v;R^5Ef!t5dadjKy_uUA)hC%%wan)Mk{$StmLt7`7KU zPuMoX;&PWa`0D!y(mA)eE%f_Rec)kqj*`n$1AWu^Jb~(!dfN$n@u_@&i_63?=;#%+ zzIEcX!4_vb7n6RrJm9mWz>yZ$;XmP7dXc}*wEKzR4=M`2`Sd5P)99BG$?1Hxy&!OT zP$JIad#=%z@ARU1H=Sn@-XeIi#bxs*r1PE5X~JiHZ;P8Ba*^M4>7J?|{)~0U;@!a4 zCt{)FG#S_z{T^rtoKL8SJmCr52U;ERn!X$I>-61*_pCh2^4aE=;H#qLk)PVM8fS6c zI2++xLMY$-W`%&CiO%^>!=3QUiOr1fNa{r#`Ew@|TK1n0_I(*g=Nw%t1Nrl^|5)n} z+ehaCmH89Z!?&{$2j^50-sf)vNH2fVD9d-Aek9%BXuYU{(R5$9LUoq^a1i=Vc#S~o zrermELV?D}0S0k^)8$tZ@M=&mPrT-i|F5buW9p>N-;7JNx|9{8MU0h*xocygQUY+UOr4}vN3jNovd+!q0 z|4B`1f_2A7UZ*(h$xiX{8#^ET9m|1>LOFq(&)f0cN$;io(FwSZb;{W`_;0>b9C&qF zzoyxm@m9z1($I10yZ#?6nLfkH|-H7T;-K<&gH{k)5t}@)9C)rcK(O?lJVm)Un<&lPiaNpRm{b<^DSRJY6CxI zR@b@XXSdN7*G;LOn;+AlBXY(swm6^tBgH3kZnXSfm$?>~ra0*g{EU3i({tdw?fgso z3;(wa;-=Pl#`>o7#YV#AH(%h+>Tv8k`rIq%IP0cTUWHXzV)?pBCd{wM)R*+L$1b(_ Q|Nj0Lf&WF||C0#(AH>8w8UO$Q literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/24.npy b/MP_Data/pose1/0/24.npy new file mode 100644 index 0000000000000000000000000000000000000000..e97599c7a36097059bcc2ef7b42596b328bfe5cc GIT binary patch literal 13424 zcmeHt=YNmM7xw6FwYB;tZZ$g5dj`wu-Rg`GqK5(s5t!!9HH;^@{HG>eZ@Rsj3s`{J;L? zW{h$Fymvg(OWicTv8A*8-GjvRQpJ9KY3nB51?^(@x|_Dn`?tJr+gV^5+WBTLw964Y zsr_h1dv|KrPvWV+`5WzeRV(y2yQy7F$%k>(yIs`&CJpUk7_~FU<+dGHMVvyrlBv{Q zAfx}o{I_ho@K2@wEkC1OFaAvS4NJiIs{A47nCGukto{54>d!mxyJ7n~6-vPlt+QRV z?dlimFMipG{`$xLDEZOscWt{<;2Zg;Nn7+YN0W%x;Q+O7BL4}e>;velLXT|8Tu1M> z{bgesUne%dWO327!V_Dn|0L{V#a~08-Sz~|J~lvIv|6yr^7Q#(WKU$?i|C&i{o0l+ zA>d+Sdf_bkdJc8ZvoCCEvUPiFOQ+OUEzjBibvSer(%Cmnpk!T{NpqcF$gf{;X5G z3$|Uo`GkHvx(w`>F{`LQ%lF*2JGGPd+5UWc`TuNbR1fs$pNnIBl`9_o<&(PbpWdGd z{dxbWN47s3P~9 zu9+U99$4d>E#+@zVo|T*-woxINn|Cs_Ms9*gQw5z#SRAM^aynK#2?^q4(%-OWi;?9(0;3i@P*;}UcDvQfo zrAX(yq;b6ejRn5?N8qwoQQ#uc7y9bqZPcBfWytTx3q)AH=;xp=eG(`SESe*MFDCnR zNX)+;){YlE)Z*siHR$kWe`Ecf&&Ot4oOL@*_?J3YEnj6`>tk_!;vM1Z%8~z1e zex6LU4i~pB1AcxE?TdmRuY08T=Ry8+P=5Bs`l*M*;cs2y1N`j#kOjDN-50pZk}bsQ zNFIqg`!*7#*jg;q;?C~-SSLB_9ZLSC;!KOHgcQ;*%fXj3qbFKipL8&?a;X%>E_72$1$E$Jq>&{<^2fg zUm6B|QEwfs%h`|x7MD~1LY+Tj*pbg^CM2x3(EawVbyv+^lMAFS4r$&aU%q{(S3pI%!=aqS#RP$7ztdS>5X_6nKzQ12Pi+W?VrM|J-pn1 z;EP7I&qS30*uOl_GvItYjl&v_iG%&W4Z-|*$quwGrGG;_tHLG0cf7+f4!@ZN`;nJ! zP4@6JC{6vI%dL*s*?{V`6!q&97G-hy0@eCcL6TKGAE>P&|x} z$GWj)x8VmpFbCnauh2fo`y6>p?D8bLT~1u{u=79jX1Fb71258FGz#rJ{3GH`jJb^Y zm`Qhmi_oS4)=tx|FK~7wjQroIE#-lt9WkD1T95Fcelb?xEEx@bT`CQwI{p>wsH(1{ zak~{loH!S{!hW9R4fIvsd8AXg6#VJDrTdn68wA`5&qLz|?54PE?MZ(4mKp0V$2Wq$ zh=^%tbc>8J#1cU;LIgB19x|~esjbD z@=yDUm@nIR1opEmbl&IjT$kI)bkY_6M$9yTP9_pFeQ6mhz}t{gL9Kd3NH5 zg_BO{0Qgz7aEKoe30&m%K%9%90>HVMM*P60@IMQubrfT-Qon?-Xw0j2U)0sjp~N5m z0XnQ%DB&?=CodQX|2XgeApIG?5&vX0;PP%T@$Xbe9%Cg-%(D6-mhz72`V@S&B8~i< zv<-ZDXFqTrR)*HMeFAW2!$RV($%;5p2^n~?iNN)gHL%mk)(w39aw_R`%>&$A=m1;ci+LKWaLE`;ptspi3N$yw0N%=f{3b#?Nya;-pk;9|-%{`(N;PSQ)-PemRhe&q2?R6kb_^s)z4fc^~UkdY*`{O9Tg}Y+E z$kMaOo}kRoHO1azzOv15$`5<`6W*8Z1$sd${LfNb09O^xLtpOhNp`MwA$~$d*kkTL z4YKyI*5xp+-qM`LFWfm8_=M}Uf9HHB{PVlX7B@0Cbi}WPfje#^Mgh+!F<-vOh4NO! zI_QX%ZNTRwZeKc&*X+n)z^h|4(%59*0~ zh3uJOUs7AlR~~MKePKSegPl&nDKtOVA>(0x&Fp07n*1o`;oqSzd%Pk20~GIO)8H7( z*S}W6B?}o( ze(w7h*^w`pbli?jwS1|EgJ<^oQoldXt_0rs2Ic*Kx?^961;5n}fBfqH~HSm6OzTJl3xaTO!d(UUhv-&b?d&E5(KLa}A zrAMU2Sw|o6<&GG{zZg|df}e}t3EXufwbySv)8gV?1lG^##qQg>%K9B~%T7IpE}xSR z^U~hFlxI3Ur}h5Q5AC|(JlqrbquS6F4U56gqDB5TR*x^Beaa%fVSc9TA?za=o`ZCz z{s_LwTpqX?Oy`SpNWp%-w+q&nkLnG5-LW$Hxp=(+iRt>RXj$0du>P>0N3SRVyw7^l zy_JvVm95s!}H8Y6j)#5Qq)pic{g-qE6 z{|N7f;HzkVfAA-C1+Lb<1z#2ofSuyhf8_UrcS!Hw5+Rmv`h^gF?=#`wi-%fV_)-2c z{i{M>)SDD+ap|6!@~IC8pMPGl+#?-lYkEV6$No$9XZFB8We=W{-$KV>U7V`RkXLmG zop-#{R^Y5!eag>=eZW^~PpRLlGKedlM0taanFYQ%UWxAcN$0?0PkLiq-pB{@61lR& z9`j-f)=_u5$*rC8`eB;yuEVsxAH$Ik)z2CC?V6Rbj^^h|GceyW*)dP1=>DMdKaIkC z#e4W!CoIRfdSi{TmT!XQ!XEBM>mYLsgq^H3-8W2$3eXovYEQ6yb!`%KWPCH=Ebc}# ztFH!+hM)C)SF~FUOjlgB)+Q8-B(HK{GxI;%b&O`l&Rw4W2*vLXNQVsu`cCSLH5X*LMB7(?F|WTxpfzo~z%v^sjwLFkBWX|SIM?V@*U z+AH8{`xW5o%zfO?`B{2ru^;FhbN-A4?({zZJ}-V19rirK4@)Vp{*(lqB^QPNMUGfoEmSm6BPWzu))3_EqJThP}R%ZI>kOKCsq z;QnZ5XZ;bkvhQf}SJ(33i!tqS9&xXqFs?i>f$&aO{Nac4yTRu!v@cA|xloI%xAcyc z{1EIhM_cspuzvHU{KXH^yTBiv|m~uM(MQc1pkY1&5^Ho`9O>>qP^!^f2xRM#0x)xab$99#G!fE z6?G%Bg0D7L#=7%1sl;2rNT+MRU^`zinC_`E>@xLx*+IfT?LUCWzN{g9IoV_Kl!L!? z1bvrtt_()LW$V`BKBflHcPT!!*;;F-dC(nvQ=ic~9!;Qq=R^~}{UOG2UW{ID$CVQ` zaCPw%wP%XQx|mk<9ayh=3!K&T!984W{}XlD>N@cobjG^#g#%INB}!6UUEhp2H{0nu zusQaT_@AzTuZGh-MBJixx>F&~GHVYXPVpe!4E$}HzwcvlGpQAgTbb_lX8qkUz@t5Z zvz;~IH|CWVXmNHp;~mnbJ9K1?`?xw9lb|nfM2lXi!W@4N zpwo6G;r{c0i!L_fe(32{0%fe5$UzY;=0T)z)csrznFr}!h!eO zO?;1wh<`J)L!`x3#B|`|wjq4i=Q$Q<;|y@;{8Qk%=C&mkm$NhS#nIB_&olA3FFBj? zW4^rgY}l#K`Ndj3pWYcdI%F2|nDd~?4Cquy1uhH4L&t9yJqYhX z9@!B*o--S*+kyPp*UmWs+!;{`xU;Xzu*CFX#k8ux^{&>y*?^xBSNf9&aOTyO@Pd1X zTfR9m6}WjE3tV^5Ghye6#=zx-^N1gldwh)LEAcCE=igbtb-_uLCqwI^KmR=z>%!;0 zS#5Px`_|y=lu*PiA2oRd^oRKX7vl~=$BEsI^G+2TMfjq{z8aB9g(Ra={Kc)$;bAJwtTbeDR8r@5XFgi(J;&B=YJ-heT{*uDnk)J>|g`nvVRNY zE$3nJEzob|PCBI)f^UvC^s)M)2E`9AUkq`=?zcyLszcG>^LO+;T%Pv>F0x!Fose%R z*}*b@z@D%URNtO)e|O)8^_A`DePzOPpn2yxg8N zzqj!Lzn8m8BH$nDU|gr*clc9HI~8Yf_I)4e2Nwm-WD@L``)Ggh z6~AFze(C`DvhuH_^XVRq+q+r3)e*_`d!KW|1?}wg0Ne*y`)1^a?NzDYw&CQ@VMsA0Ozb$P`b^tA1DD>{37A zeBH#!!2inFzmaF4@B9&g_m`?r1AJY(6ZqoRLEMK~C;B~9uId2X6buSTOrNi_J>%Y+ zi}-AE!4Qk{GT))g7dZFqc%sNxick3y^!c8fq`zK(FLuzq(>c8ZINL?vm-uGNKWyl1 z;7+$M!O)M$O?D=ZCVY@9_9>5V1l;*H1h{hb=?6Ox&^t3;`tVqEtEH+$)Q!49V&53si0#2>sD_Unp6$60+-`X|_@XZ5}Y z`|1~pL%Ad;aN#YmU-XTA$b0hrC(?ftj(wpTT%K$B@>4(HGU6=FH!RC|i}T}cfjh|u z!FRq6@J~#~l^^+^mrujE^2E*d7H10wg0GYNVqfbP3w^DQ^VdD#DsR7A&>a=B5_lc@ zok_f)@0V=v=ykxGWSmDitAQ_{ah&^nc5&Dzf1vLPPRaht^3@~yy`NWg#d#t6yYWP8 zPtg%%&xjcKO~s7G{f&R5^GrP$LHrUEHd`J2AN@|FbJIIf2CaZT`;-P9{xK1J({(BQ z$xmz|yc)fmRZ1nghdiTk#RU4DP55M{b7VE;4R${-bX1r4X?9$`K0E0g>4^Di|2x6f zexAQO=4qdCcGwA4Trx#cq=NHB^ke`v?oSs#1F3b8Y$e$U%XUZL`cR{}j-2?fo zfz%#X27Jep&Jl6)8O|3ovCIzWk8BTpk^Lm}_1v|yEv^sz09-BqYncgaXk4GVv|dYIEwVal-B6nE zLi+v4T=^)zSe7??=zj| zRgJz^u(BhuPuY84vZrMg*kdNnh_rm;LFbo9%13sdtQ!HH;dO}L?<>X0rxS$7(>ZRs zlml+ocHU_DJc#nDULt_Ax!#BeJ#sSXRIdPBt}>+a?|R^BL}B1gs{!zjSbQG1K3aqH z->2Z+!9pGqp4SsNPp*M`jyaWauNz74YgVo@?p%(k{V*|WZrbnsi^GGH*JP2w)$+OJLz6`C3|x}fxZZ*{cGycxyc&_PO>^;aZT{_ zKLO|`zJ*VL{*QDImmV4Cc<b zT`&&cQ)3AD_i~`F>VH5x%U=)sPV8Z*s|Ayx!&7AnXX8aEBJ{;eXnD0#R z&BM$ndC|#!)_$JH2X$33Gj#aeazPe1u6KxcGZo{Sf*0Tierz*v8Px}+DEyB6HlO|v zNzJ8qr@XcVaj1LI{gZz>0)1!wqTbd{9*}XbKG_5M{P>=+uz%xr=(10D;a9Vf{@+r$ zQGR2ob)X|%(~wU@jlaQH1?c}C#{Eb?as$7$g6xN-E(+;`u_*HfAuOm zU$(y(_)hkt;LEU0J1p+p*3|!f65-El;T#d1;>;|d-=oyG{l3DY6F*VHey{&)*_fMPksWNl{|_(Da+G+RYW~R z-141Cadupuw+;Aa3w_U)zb)Hkae0IRSKU*vzoe|Q#^NT+4I0;le!muv{FZ_55(`{@ z&4oNBA8f#PCw7ngqs!kToi8)V{*&YfGwpZ68%_zaI{LK(9g*Y@TvtCn6L=`?N1bmX z^hJ@!ct@!1eQ8{8`rUws&Yzi>t|NYF44lupL-u5iiLkho8TXm3M=1XDj9F=MRFb!yh( zGx-1O-=~Z*_4d=-9V^G)bqVmul%WA<==vOzIzw7?{**UbrRK^iUrWGxDrqG=Y#G+e;n1zYh`bt-(iPQ z&pr=8J>yyJ_Z7H_`ZteIFLR8i`gQN&pS`~y{fiSjpkvynr#O94j@s+m`>(t9yl6@C zqpHUhSFZ81dGX`sY^Q%1Ysg8@Vub?lA6i0hKhvjto=1lNGSI>t3TOIAo6@fo$bwjFeTVyZVf9qKd z<#0yz&mN$ZMdOzxWj43XDiinLP3vFQk8@n+c!Ou@SrGO5S^QGRRlaNBx~&iG!@_OW zIL@C|C*2G`)SDLG>!9OZ4qS|S3VR*?3G~^%ze)eWMeKJqxe4jt`vUX8w}yk;?pKx5 z(Qp1D`|v?GJTjln%!CDwn|Z0=e6OPYpKw3QakljmI2-uzva{Eq~Njeb;bHR(HgNyUy!9|-$ z*xTvEW$74jTl69P=Y>e0^CRH=*O{=_osvmsS2nBzIqbhlPM?h|j(D=EH&L%=KL5dS zec(^B-(iV&I2+@*{W}_Q5&4c^^Kf>H-$$a%HlOC>bWOxtZ25T>?8}w}S8ZE>n{m_U zIIjNHG%w8>q12Z~V!YyHI?dCc$50BddeGrVA3=u=`2eneyfMY;n3fFOg!^G0S(oHR z==XFe`SVi{&F|u5=-c*l$-fKVfZIG(F~2sXHu-U82e`by2Juw&!_Xhk(}Dcm`feKf z4N9hQd9S2>)uGT-jBC|<*t2z=P|8Hl8IJ4JVThYPoD8nV=_n5uhkobDkEXwai$1GI zI(r!$0)6|{T*Tj0Y!5$m_Ma*U_(C>7N__-#ScUA1-635NiDd2qir{H$S zcgvyQyDhkC-xyq;>w!wl3y#6~RncmQhw7JevD4x4RbVImyeQuBD``D9 z?gVb%ZAHo2H2x0b4QNHWfr`q|F)JNc=PmSkGR4z+deb^-_z-qxW;T?3N+tNo&nIKP z<+52cZ{ag3&ZX#HVMpx%H;vjLo^0W0^1H(Fs~(yC=?#qrxl+ZBgDzX#0QI`eKNy#q zo{I6Xqy%uAGdI==4<1ZBG!XF=aYZAX|8{YI^vCX0r1*E<69@gUAoBYTj6lEJ_R+k^mgryR9DsGA16#vh znTu4W4MKcuhvTIGYy<51$f@whdhP{RaV5a*wN^N9&HLwwv+(}xiW`qya}@i|4*d-M znp(q0M9XAx*9t@9ge)8#A^Z0Zh>Q$+&I3MMVA!L80 z3+$!Wz4;igR}{EdPW#uEI=j$u^ZYP43u{CAGv0#p46@hR@*$7$hWl}@@$q zYQle;lj6*3(0#@>@`j%>>MPjm^ibG~f&Ivz4=uoXdGbeoQ4#&J@94dSeR-Dh=>u~#LD+V-mu-8z)t0+d10Z)<|3Zkzo7Ql$xl76 z7v&}2UEq33Dd>rAV`%+kbSC@R`G`jZ!%tQ7Cvf?S`j;$(?osilXullUM*C^Ue(3X& zh4IWzmqt4^@HOJ2{cDrXwM{5R#$D*BCbMb(MsC6W(oZ94ej_T-zT0;g`-q)8fq1gN zH-f8N>4=lq*cAJkEy+vzk(UsEd#BhO7YDn17&yDt9s5hP?t^_KT2p>zCJOqh{S(CB zKBIhY7Tvw<;;u^i(tdxIbr0B?_1<=PWQ5ZfZ|~9mEqn%k@s$g3Z;?YvP`?%aq&zWh zV34zyzc0iyi%Lg36WbboiuJugtN`aFJ7PWS#x!5bGXUJYevI{_8q<5H-BguFr_(sB5ykCZ~*lTCNRKT(E(%l$=>XVfWg_^B4sJy{jZF&uvWUXbF#?ou4Wz9jv{ z@1P^2=>BU5o{n|){9z-~uaX9TX1IXJanT0{2>tIO%4$O1*;{6cvdwx;GS)2%I>-0q} z$|p9j=Uw+Kcg!E@O7`t`>i5NKid%AB<+wS22mSG<`@!Y5!I7}fe;fTOy^ius@Zady z^w8j9TPx_>Sf44*o_{rk;x^@0 zvu8_|g3A>bsGrN-FfQ4rJGd#HgZ#YLZ;rF)5rwf%M3MZkH-28 z-sb*=&V?OxUo`s*qhB+tKIN-Clz-*2p_oV0a`JfRr%5;sKXuxV;G#geu8!L|9?)lt z3Sb`f$~zO?ctv<&ir06^wBFtoSncdt8qF7v?vH+D=@t{5J-e_RI@%{c&5!oPxx?Sm zeM3*k4Skc|W2m#|M`pv$Zm&jscJ@H0FC!-*&U|TIiqG(Wv9DE*Na!2?{_ux;{XpkV zR5AtOx?4)s>Z;tnR6-eLv?1)9u?uqwhk!?2gMLS9JwwK-?d3;yuH@Fhou`%Zme{;Vgxa?3DT#5JCFQ!T}a6O0K z`&8FcbKSVqoInjtyXwp{qU4T+(YaG`pzu& zHOKh){35vDvOXutpWVC3|M;Bv{=n<}OT6i~v~Rv2iFL03q;te}&xd+Z{Xe?596Et# z^J)+JWe?uryMYWnLw5VU!RxpDPgWglD&v>jW78Q(rZ5wZbKkAR=K_1SZ3%4-e;?5LW59x=o zuGFR@bUqHeL*q(YuoU)T`OvSOe3^JtAFO{7H4OgCw$mwoT`I$W-DwH9Vsx+Ir-%OF z{8v>5f!me8q7)?`V4djqyYbA5QeG5S>fpVeJ+2O}YkiM#s87ox--^Uo^e4ibW${PY zcRGmjKYL#mT+cd-JS=Ma(L9FN12>*t6z8#7=U~tTaJh2><%gbhZ`7}sQJl`z!a8Ix zIwL+RTX%{_?7Sr|KK4us>}-c<>L=$fh`)@Ye&zk&!Fkyy5s1UBywv_8-5bqNe{k82 z?jfvW4D7{Hjdh}*<)S#;9Z32ot4(z}tQEc2@L|=+zTU-&;E#9VKBl@gK|ktgNWAk? zRHt>Qx@LVRG*hte%>DJyS7Gt6XM5{>?{xUyto_(D>wb7ORXZ;BU533Wl!B76-*FEY z6|&wR|2;rFdo1Q%Cl1B4yz(BU_{^8$Kl(oL{Z~=yubRg?eY=akZ}Lx`fb+DPSSRXG zO=|!38pK<5>@m#Q%jG@6*-W~(vT7r+o^8u<#Ou@VN-C%r<=atJ5HA*313G5F609rL zm-dA@{tD|scvhW*I1K&*>z-%yp!g&Oz#sYLN8+`nLq}xnTIJ#V_o)r8?p#6tDy$OX z%ntcszo|U`VSY^LZ`+-{82b(EjUUaU&Ruq)*W4!8l$wlA=z9swXE5Oa# zb911d@ElwpSqrXXhv2-{37=5Ex6cue4qOTQnbpAA#2OUuJ6b!=_Y8s#iye$SrjMnB zJI-!o>4bKJpK{>pwczvpp<}BY1=q8-?QmR|?F6nr?xAtrZ??g4Ibs*|d55uxze(^7 z1wYk@{4YcC<0%EO-`UfO#81?Oo~YOn=f3)y{FH8b-;V*3%!E!z{L!3C680SJe_S8 z`u(FJ>0Ek5d~z?GFDB84{4aFvs_5BtpbPn3Mof<5r3H0kKWS@)M)?eHEUbG3w>xNr~gVe{y` z)2R`}L)*e%_8`w(r=t&y2RHj#6F+({4E|U1qH#T$hVe4>e1+qxF70>Q_Ym~Okr&gG zGP%6AmHdmm3VU<-Lknjw*Z%^pzwJi6@Qt?4o=v?@_LqF{y~wU!6$SeM`dx}$UyD2= z=G2IDT=Y8wd$l78apvzcA3zIPzFZM+$AmQe!VyLfh5x1t_> zH@3Gn^l<*Du334T)rStdxPBt|!9t{yM*G)%8UsJ&!L0wg(C^6pAR#!pgbp&Mk1bkYFE-p@gVyb zTRokQDbyF-RO(3m&W#%YUQQA}Gl2TN8R6%+`i9;!dF^20Qwxwz(HPjXDjQI$-ctv7 zWZLThnm-;S5Kq(6>~mc89soOel)hKXJCpE!X9E1eMI!AN+uCO|bmHrP>y`OY+F5UL zpHwyd@NC|uLtmBc80h@uZyFM>Pxl9YvNqlK-i8scycGGzE~_@(>Dxl5!1+Q39bW7j zop+YjmD)x3Q#*K7u+x{r>tX!Xrqe!}R9ib8@iPZkx3gm(>CRp0oc*~V@qW!{zmyn{ z{3CY+pkM8~iQ?Jf#U!VrHfGJsv5BzPXHU#>{aRnz7i#=w>_;iD1vze3j3fV3bHX3J za&b@i)9E$ozxo&Fox1Ydci{2e$^U0-an6ckKdlFEL3vC~r{6KnM1RDAN71?$O+Hfo zd^!FHXV0pB34L>m?yK^X_5+hLF~2tDj`WtaD?@q^oi(2qU z6uE}++F`xdCS{uIU9`^Co~!VOO|q>V7lUXY%A54vm9f}Fr^7$3N8{?`k9jerYmRkX zT?z&_rB~AWOq?Vg*UKnxnwkUQzuj{<)^T<>5caA@2iVI|BNiuRV$rua;xDh{M7`a) z4gHGbrg&!W=>3K9-*67H;IGN9L>cI)h9~L$tN9afQ+ge(+a@nJxPEyc-4D&r>EO&X zOMpMoGRv+t`G0=tPRCUY`NKERIj?V@+X9_8!(p#?&qbW=?pi-Pt{?l7KWQ6r4^$V` zBIt~yyk|Y>{x9|yT9M?&TZ8tmeN_Yfip_PA|HUtKe#uJb5jV5(4DJu=vnw>N7(@Hz z^=|B6uIZdLVV5Y*kDKEjq5^2Wu^;HWld2R%`}d+R{8#Vjy+^h0i*?Sg(ErsKpYnI% z_ppbNu9Q8-qF-J#p6<8B+Gxl1^Js8&dmy;DG!t<)-gF-mp=aTb^!^3wpZU}Ir3ddM z-l!bK=Ve>y$b@y^X4)Ze*&u6Pj-R0Qe6ajR*RP$Mb>H4wAWP@z0{DAxE_7JZC7KuC zN3>2R?IAzwoh0tx5$_!~&4TMjH^G(f-sMh*9eP9d6Y@i!H7OtCxZF?YjR>UoZkds= z+i`K1-Xm;X`VP!{RYo4O8I)&ui3!lNzRd!XGVN6~Tz>8YF7x$3zdWooxE}X6@$+xT!~XypuX;5N^Dkx; zr*$5fb$;GKpE+s!FwE^ej==TLSaSQH&BCZE?WvLe!7ax}! z`X-w8ub9=2_D#eboKviX2XxFHZ*a3}?v!UxbltT;$kP_>sONf=H|H1 zus=M(MM^Tb4UK5$#;Z2dd2LqH|2whv$Hq9WgC~;COWN0}pKlQCr_KVm#Xg6QYSJmh zah7$D)wv&`URP+Rz{ZXMHqn ziqnz(n-IU<0$io-#QAGZ`jAdIoo}jVp>fV$t*T7^{X_QxlO7lExF}fw_G%aDtKj@0 zu3tW^JL$xf!g{dreUS&)xyocehJIJ!dk^9qREOw2i?^WrhDoeD$LVDL?gx8z<}2v% zs(JfBztaxlpDrQ4a(;sSWpb?`9#7|vxVsnew6_(w{_F_8P${oV~)tAcSS$BzppQitVO3q#^rTdt@Q3vbO zMwFP~{I{QP6Ip?T)Mdm+@@ht*6qbFvZ~|?F)O2{trd= z%KAUF=aipijWrmT__bCv#&whO58F(?-|`~S*uP>syB#TMe} z?~#`@r}fGI-3HD)J79fs?@468az5E_&V@L$sLtT(fj2lGc{kkoW9rfU#|)_qt`E!( zga0GwI}5*64EHFJmb?%4wZ@VDhf|mrleZ_{gLuEMz(wB}vTwqcCOLgY_Zitfj_gyL zuLj>id02;M{k}Fj_bSK5m0r-17wLPZT$C0A``_sNFxlyQr0S9~({Ve6@{9~khQ2&q zYz=g#(R&>CA$u;Pv3|r+x;OIjbS_Kp>zH3XiOv_Xl+Je>_yqaHtSv=xyF%Y5c|gzrg&8_j&PMQB^2S>!E2L%7;;i_jVLl>%_eqC)FxiwQeO^_d=;!w?V)Sxc7(yu@&nA6;X*rZQTQbYOTcD zBJQfV>WU!FYHM4q3;mJn@E6=q?=MgC%9WEV=bW6J_enmi>d~ir&;GgC6gJZ;}b{vj|5gV z|JT0{8DsL@2X}n3TiZM9wrfSl^n1w;-;wpF>+4aKFwQ$Ky@~PQPcz-Po%;skc0&-2 z`^3=rSsG^nG|n3Apz#lPVO;HOg!v+g#+5E)9j|?`9^-P$PsBeYXa13L(90G{!npn9 zAdQ!!alNw8EjOP>q+^^lIE--<^_uki@TWU&TrJo|_N{Mm$?4Ba(tP7_@VXn<;hxY# z#H_!H@c}en*4T>q?E3_?e8!V>H?AwaBmbQL9P{|^2IKZXXoeeC3FJSM)i~4fvwo%T zyH?gNdBly&fwaD;-};in`G++hy4D<>dlBPN&%kdMjRh`?H>dTcd>rBA^vq*ePlS|D zbA6lM{BO*U?33o^>(nm4LGJI9Ph2bV4*Lh~q+%!CxDEC>jlTHeqHCqk;}@>wfti_Z z+|22`6L_CUtSkH`{OkJq`>%h)c-w>%7{3;G-nIP4X)j%Cp67k&#^t^L_PM^^QIh5l z--h}8@P7DTPOg0c@;w8vzTk5)UvwPyhnsKue0mV`k9$6Ktq2^2`Kmx(tgi>8VO?Es zMw%PvP4E5ZS~mTM`^njj+A;GG=FPr)7wzNXuuty08|B8u;>Qyl&IUdE-L-a46voZ0 z#nG;>e7lZzt!aD{`zJnb`p)(BwKH+9Wz`4zVZ2-^#GmbS5#y%Qx}zAEb-TD$oQS;V zT6OGFZjs%Zwzsiw^3bg67?0_LxKwA$dbn{pFC`uF2g?<6t*rVR=JTokG=3`_<95lp z3K+jw4D(I*T^LuX`!gJFUQ6)nuRJi{e40Ct<2Orh9d_fa(-kkYW3v#ys&ylb>!;}n z4%c~0)o?AJ??L*;Uq)+|WUfrk#_g`^)K5>Mb93*3cDM<7Mdx9A5sd3rQ&vE}+jZdb z*<q zqcYIjwoJ!3n>=Tu!$tBXlJAj8_^&J1K>qM@%8Qp1aX$1fS&MzL<<*#Q?1$|7G5oDg z51t44N~M5{XN`f&I1vW^CK`P$E2Bz*hezKBkIKrTadU49 z_$$1l`89p9kLo>(aJb4li}aZ^47eOn9Q^$1e8`I;!-3msb09B^dXYY<8aQ8C?rZRL zrMS`6eQ2H8t!Fx%y&!$~q*d^zs(lr>toRc8iNbBsGOvTPoV>XiMDg_NN#OdguOfW1 zaohep=@)PexV$rAq?5OQPKW+FJPiI;aeNQbkZj|11CUK9_0 zV{yLBhqHm3s#%a%-d>Q`?K+cu!&($4H7X%)+31zP?SQ7hRl*+PSx4tkMRx|SD{lS9 zt!uM~ z@`m{&FXZ{S6O>P$Uci3KmlG)7y-%$I&z6D|2OBmK{$L~gCf5f+Z#y{bnvb*RK*?dQ zRr!L!tM+`?>bfU~OcGabM9XCm2|IEwr~Xu~3hvns(@&kQaPT>Nxa zJAON3D%t6M8!d}H3O#k)7W9REj+Srz2zrV?^Pz9Og25vLzQca$-jzt+H<0kFyRfd< zO7#_gUYph*l7zf!YqTex(5uA%svqLYoT7M8Ph&_vFoFEjCJ}bo_(H&KZ-2m84pID&ZUd=7c@{yOr%_FV;>U1$cJ?+-(q^C8D*{tpcZ_wGmWpA-q4 zpDl(Xe&9Be>JIBQ0rGa#Vc_z{8t~{TxA9$52MusNh2l!r*hBpJjsj<% zy-2=MKjGPQO zMGr_qe6sJG0oQ# z&UE`LI#r}|*L*+Dk&J6a`kdPeT!m!9PrS%<#6K^Ya}RovM*e5p7dakVI{@qHvt8-j zE$>bC7VJd&eI8Evuydq{5aD8GE>NGXZ6Mgw= zG~p&M+1p@0`n+FRv?Av1e8+F1OF<7YjO^tPP9g8HR&*ZKx8xt=KZfetcLT^j$0?p| z?&YH$4{uupdWx#oXngrU#DDWG_~n{Aw9c>ou})rm+ZcVj;W_Eq;uzvVW*kKv*lMxh zQ%}_(F!{6Sr>LuC?wtKyOK~k8tw-GIN-3mIdUv!^Kc0zo{lZV{>#8)cOM9F@+M|Ca8@DAES>bSdJ_3H!UoRw{1-%wJTy#GL zdEq;T#*;$kfqyCOuiBXoe)VZmXmYkZD^2-D_WK+B{F8oEpY&tYpV|^Fd+AAea$#%m z@`e`rs`Eega{StVKl#1>uY@0ew!rZ#e|i^DLoNds31Pr_1^T|IO7oz_g*n_t zQe9$hZ9pC{*H(ljXX9!Rd zPB_ksOnC)+b>}_6`JtE4U+U%LhqosPfAb&{Dx8<%aHGd?$IsiWhnz^P0$kP}5ajq(wFU4qPyU$vb14?*S01MP z&KCBDK0M!Rx-S>|3j8dD>TUUVEb0nVZXV&{Ytlc_kNm%A3UGNQ9=I-34c|4*x|4jw z3zF|d_f0*y1#q6!54eplk9EyhZ{R9VAK+q4LDVhg7plYgqb|TrXcOoo{13ujcB&-F zr_2U!R}7>5i)=&tyVO#iFHCi*=s6twW+ru`I-zt|(z9F@%+v43!T)9*ghL3VZU!Z<%k@o&A$6VKUph#xhn zyK?d-sUY+gcLnUzHG9T5oR^~etcm)G&WGP1%9Fiv-c@d`A-k$>N1Tg@Q1F`yMQEL6 zM{vIotI!ja8gTxY;$Oa@dRTf^g??)FS+X}s zL4Tfc8@S9v=heJ>OL=ud3~*DiH1Ss(N%B|89`+l(_sHOyR6nQFeczVvOL6<#BE*Ag z+6H!N&oJ8G$6?^-LXw@6egeNKu?2O4JVN(hS-CaY-Ps@cftCLnJa$_F(q}_e+TX-R zWLH)4gE+bj@xc3@fjs+{-kt0xH}D-{Bj@8>TM-9+_{!2FeB3^6eopbQdJ_D@b00w- zkkivB@1@;@ye^pw-&vbn0qfcVIqw*$#SoujND%ZkO%#owUyW6M_ zWucewgX;JJaJ{}0^pS0bkUyg<0hfQD1g>h)`=f0f0GxmK2>Yl{P#q!@s6Mq(l_*ah z^o4)KlJ;1iHy*gm`IEK32!D#uWwg%Wo6u7<@<(5cJ%N^u%BgP?3t+zd^cZkC_lt$F zH+mg#(`z;H%wLE&RHgF55Bi%yz}1wHX--}|r2DD(kG=!uT;@cFv*}5w$3)j!#Fua* z&gm(msqW;bGr%V+j={NO`?sLao9=+T9(iD`$$f9{81|!aO>O=H-v0G^M)C(lvHJ#+L{zS{JK0`i{ zF(0FE_O6G&<=v|OPES?c7dUTAbqL$o1LuM@8cRH@{~-AmKJcd;R0V$2!#VBSw@r|T znYxa?E%Jckl=$w1@gMWCB1JFl!(>t=(vxq0SLyYsYSW$=0ThvXg&%V8c z@1ra=5a&&v{sa5NbN##5$*V!ri9etg^fHa|L^zz)*bbbvru&wxkc9K7j?p{5OsYol z5EU7Tb#Kx8h%A>#`utmI19+Nz0UpsNH{|7yVlmdO{|j(aG$&6)Z(j=eYTuCjmgVq+ z3K!wP_y0xu%#S4hq|{sGaJ%{g*kzX;2dsH7v<9s^?t*qW9~A%|b#x%* z!(ZRe1Aj^m&$({UU#@7n5%Qadf`?5?0IrrK>;vAV18_Bz>P*QdZ2`}gc+zv?81nzS zy0ang`x$T}Qm75@OZ7vOD(H)I6-eLlb&$OUe1Z6iPPM$>@nww?=|o@!u6$lEvZ&|l4q zi*@o!_yL!{UhvYq*Aa0rU40O22m`nT}V!$s8 ziG_~ebe#d5^`q~z?fe+}n~aaa&&v#kylon@+VRL6pF>_`G2krnGTyt)?$^Zg?C5pq z@mXEiWh>PKkJym`+}s$m(v9=QzQE1eGq`t%5`S%TxXmJeO8*{YSK&eU?#q}Vq`y}x zaFLv`$jO^^dkIgiPkcXye(iA4^cCS(PomY!S|vDK78r!SGAE&b_VYOMfXd$txG@ia z>p_3hcRWiG{-_o4Pn)q2{CUO@{yn|pnQz|C1b#@6T*f5WtGAWIxiDW&Ci(i5CuNy8 zGm^9Q;WKsu*F~>GUcCFWuj4Ue4*^$ody?O(Wwvp+x=VRL)$5M;BAc%T@&nsU@gV++ zLY~p*6E`_|)-{#*Umk{^b-lxL9L{;pyWZ))i9a<3@;rD5^cRmve=)5!_Ju2N@Yu`$ zp;dPUzMFCw-GAiTyqL%T9Yo*3Jb@(lsx)w0asJ5U>~(cUcj7rr-xHO(4E`6H_l+@6H{(m7xkcA>uFC+Qw;chh@?4%rU7Ok6d{^WY@X zv%qJNw}WaDK85Zna$c7(w=T<1`Nur;hrFGW5Ay6fy-SLjIeBhEJ@`}3?*bk+yd~M& z@Kg`SW78*V%?r{= zk2vI$D}z^rH6ee-MEu~B&0`)?p0Qn8V4Sb7I2!l@f8sgs1Kfr_qWlv{-$y&YFpd8c zj{1#xlb-er{SG2WPY8DU*cA;RryJ0Fm?&)MJursynCeaMc+&IpS#DjGkIp%Zq`V~a z2jY9DeWwvmQ+ju|SGJFH{PGt44rk&Y;vC7?H0^lg?DC{{To%p?_gE0+aQ@|oz-8CQ zI4`Wjv2cg$Iw9ca?YClFtL~E=Zc60%=kw{1=e_#OO?L8U>7H-fZ3RE8U`9CHEFTRX zbN%%d%wKpqz_qH!3*f8_{jMqw`bIn4zNY&gYY=_Q_4&Muajun{TR`4^bPeB4?%xZ3 zup8=<{*7KDfAUhbV!?lz zKI41GBbv1a&QH+$mTl|_f10qI`)9l)`M0t7j@UYs-)t`W-Oyf$`o{6_462L7;JhTC z5E$lgqbYC5vp+&lc_5U|`>x{9Q+B3zR}pb$k<;I3`dvrosSo{4zLf94^AX+KSynpy zptg8@>u@=O;!_o(x>Ve}f$y4Z(;xi$)-C9x+hI3;yJM5b53fIQdP##CJ-*xB?z? z{}5!*fy@o#)- zzu0E_U022yM13wi+Cg5`{T}*@u{(gvLgWY2^)UQw*G}B(_|-eAWA*FekeBy85D&^M z0*}t5-yQgx`rt9;69`{L^}KBH5_JV1XGzbuH|e~T9)o*_38gx~?k`Awo|m%5t!ui{ z`<*;qne_2Ka=_vGDBUAe+9t@`y$9Ap&kZ^LA4_>ukIpqV+38<}>IatRC-VQbev2J$ zIyNFb%je|RDvwd8$<2p>%Zhp6XOS4H9l!i#8OgWu1Fj>MKu;CO$*#TkNxpxNu}+?~ zzC-eg-bu7c!M($LM*bIt0-!%X-5CC4v*_HJm2|%sx%|VOo-DjQcueLU@XOG2^4pW{ z6t^QD!7euK2KYr-V_LT|)sK3(*F?u7m-!GL648j|ljKO-sgkw;fjzfBBqx_<13$tG6v6yu&rf+ddB$ zLZ8CVfy*p)5=0;xSwI~m>Jydt-fswfP zv1)ChkLgbLIo515@~X6Sf8;5&kMiFF>z!R@$!Cz)l~+JtT_S$3!)@_P=(E|H?7cdD zG31|iK;Lc|hwru7Qi1CEopfK*aueBAB7T*#S00`Wd9^4Jc=rDp;{2K`BZ+@lFmQcs zTC|hre^MQ;=Ius)6UFmUd`429H-)|gt`iR_r;nO@gY=ssC?DSPg`WCqVc4bi`2knc zpTci;6WPyWmjY+=DYAbYRmf}U)2;tx*VY^S=HjXy(vu97w{IU8ru^d4fK z(7Ug`5x5+D~~nIh}z|W zi#_yCY)hY=>XR+cujTyTN!DMGSN$(HbhzD;8~%||-h?mMzRux#YZ>y}en$NBp2ax) Qe}Dh;!2dk(|A`0w53H#}00000 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/27.npy b/MP_Data/pose1/0/27.npy new file mode 100644 index 0000000000000000000000000000000000000000..b3d24515f776d18fee3cbdb6164ec0a3e8f4dde3 GIT binary patch literal 13424 zcmeHN_kYjV_rFHXnl)M<<)Ue9ir7uA*tII9RD?_HBAQqci7QBq*b*WUHzAbRBSn#G zE3Mjl+!|d*lr}9YKDp2H{tLdpen0u;KJN3L`#jHk?z!vr&eHC^yM6jaJ~oj>cn=vG z798r`l6$uv*4(=;_Z}7!IzDvJ*nuITLxwuM!=TY&L-X*k5rf7J&8ye^sAsyINQZ?P`XneclDMv&;yzbMLZf*O#eXj;~@JujtEaxAk(t&u_GYe$#yp+Qp|I-*fHi48_lUHu{0< zFB?7k*_FI+>l3b>g^+(X$p4bVb#1TTU^lYf1=ntxJp;elqJiu1isY~EU)x-}j5r5> zeBh1?=x4h>bER4sivFT@t+TGKeQrHQnHc-rm26V$Gg)~B@AcrctBV!ipGVpIW{xY( zccbsScJsxCO|H%^Z>Bg7S^TG~%lQ+}yLM41?K@XD-&8*5N>x4ZA6JS{{)=npX`k$H zb>>q6{pE`9ssFJo#NSS;3%_R2Bl16{FZ!EvU;OU+Yag@M^_MTpJaHv|Js`muf zyDWVjeob_UTefPI3*~vzfzXK|Ni+*p4Q2cL}rSa7ss9k@a@6K1QUA~=r-IZqN z610oUpQHg_`e+33@^{f+cW;&J>SDw!aJ7PWLVN8M zn0ImEa(tCsEbR@wYI$mPv|oRl^6sqy1;Ic1c$UKrYy6=r?XhCWBbnP6?L2ME zQHSf#MnNB6{|U9PrFCG7Zd{s`*RC3lrTh!|iq`Lo?r9DeUII9)`8}WbrG-*k*} zxM5$&hqKuO@z_sDFA z%Q=3qw^bSf*FXI>*WvaZil?3O1@S!lbH2lcX#sn2brx_HQx)UVrYdk&;d|hAQ(&aC zXLAMumtM(;v#LD>>p<2hNB9lGb$UP|^vr#OxTt(xus>0`vUxXml7uf2n69{(A4g z>Cn@9KIL(xmB4vS$}ETL;BtglPXcb$i5Q3Tr$Lkl{`dmV`&9EO)q=)(!o|MStMt_Il{&arK~6 zzCQu+7E!*mpJa7Loj;UH5>HYO;O6CG#FM>y3G*#-t6cNT^JgpP40a`7 zzXkr(+)UWpdN(jGF|iKmC|sTLZE`B|ieEYozcQl{#b5WH>GaF?n@LB7htO*lCZ>VE z^ak+Qaq%eSl{+-Qqiz!a43GbF3j4FT(+D_Q;6wA(>tr~C@x#aYEKLO;7dhT`+QD*3JOG4zU(@zBG~yTm_k8+gR*z6s8+nky;J zLsWX^Idw(~L z>v1}@S9<_G{8P`m-Q=0aT0zjSE)0O3xk&Nn0o^H|L%R^qrVl9oD}84||D{{N#l0|; zdQ5N%;Y)6*_gJinI>T(*A9eyw4M9lizt>$SeKlDDa!( zwa9PE4xHDj+jG*BauFq~u^suNu1!Z>eRBe(_`4Iu$NN{Z7l)}#{}%Rqwr3rUtc-kT zBfmqQsM0fNy{uhBcw2?>np3n-+Rq1rhp`*r5sRPFzM9kGD)N5ZC7e@w@)BCt%Ra|C zQjx3Ze3?W3RG|c{7hAjw*0m_t9=tXo1>f_PwlT(Pk`U9J<0Eg zhG^&aHjQ<-J@g!PGi(ypJ!5~*0{$W8mG<=qj~ezG=ew;+=cC+5?=^X&!D?qOHpWwb z--EDc8OwS&TyFXf{OZS(z|Gw+p;Hf-Px^9-VqQ%2I~W(+I}>$%?HciH{|)&gyvsqq z%83T9_oUJOwk-fS&#ntxC9KB&Y~eMWW9gic+Bqh0>`YzTBFPavI} z$I$-g|10?Qls3q7ePborAAf}Vp1L^}b=G(g^yZ!Oln-xxfc0YTP@L`5hiQI!ao`1L zJ&G~s;YYsghI^Vy>_NO`=v=mOfyi5%+mObS@gwxu9luP4&Ti|;{^t@XdGF=P4i^tw z!!LhM`7MfNbLV@x8&$-qd|WJpD7FpYs=Vk9~hF^qG)Tl(+i|MLHg_ z_7mVD^MiY?ZeNvN>PnWjjmEpXHuzNJ&%ovBvlPbx0pQ_Dk7k2sdlTTg*T2;7=I9v? zSLfeGf79{+@lO~vF3b6O(hTvp6*dvSEVTmoNFUTigWo9rzR!`L>Yvr*_s3Bb=kIUz z1AqUTG|twwX&k$}W`d{ZV#4S705|=9pn2cf4gCDej?iyv)WCklKcai8IddNE@{-*!c$s6ng_O35@MElo> zll7+ymUqm`Zr3Fxr3mOhSIJfs0YfNrzYZ<;hXUXCrK%H*^GlR^hVhz` z-n8y(l%;!40KL2Q(kSTUi&kL2l3OOwIxW_i^0s(Rh|_7iv_>3Qk4WHV%%qD0iPj!7Hc;$Dg$Tyq$c{0X(iq2&dcL43`RtDCE-bm-AYCIYKb^E?JcVs1c z*O&&kz^@vGjLFJ#D?ZE*zwGK8!rN6D;rK=753~*!{6X{V^T9HQ^VX+P*VikMo@Xs^ zuTTe$0q4Ke0WLe&$9vz_IY|7GU4iSQC%FIck9Pt$wLI^g=uZjvr8ua}EZFnWk7Aup zedSBC|DEo2EVmN&LtUHhfoyCwvcL0&?mrD^ovLmXfwNH^pi}QEMmo=X?yJ-D(LE<= zKk|khqkEQ}e~I49!;X+&OXn3!yNUf=t)B~AEL}kJzPayLh-X9~*>6jrd1z`qK)j67#|=^Z3%$I^POSqkq9 zQ-i)^TQ!^f9=aR_{RJz*FUzeCToh><3BSwsKqu?j062@DiS;N?P6n^)n1nb8|IM&x z1?Zl}kMBZ1uG2A(diTF%|J4K7vq65?$4piY;HLQw*z4gr$Tzm~CUCZ&^zw#xFuy!1 znZ_U2k>d2~DE3bonu7jjz!K;*y}QkH`mLe+u+5-zM2_o({XyKnLF?-GE2L*ugW<4m zLgxibs|g++SQPUvHdP^=H=4sgOOz@jahBsT!=gy%=z3(|xCG&$ zMKNA^;1&4~k4GNbA^sGHW(K&bH74Bgu#C~bMT@z>b?d+K0Q|Q8vUI1D zw_ZT}&FK4(D*rX@+f5$;SNa|3;y!CuIv(+JVVdt!BhhZ#Jxg`C`szQxc`)76#oK#U z!*AQyuw&gPq7)VUFzbyl!5(3 z&7yqZw{s~^BZ^4pS0AKtiGLa(4r1UM?33~|-P?F(PvEleKI9K8O80*?PJ@TlrSB?g zSqGYrrW1gxchxM%&w{5wkIep-;(6l<^oYRjSU+a9)Z1yo=Ed}XzqN6i^lX_!)#T+P4pDxo9;#Dlio%4s_2+_ z__e*jFGkY+L}WKk0e?gi`1vG?gGiq;2l$mTq^JEe%Kt|`3mndSUxPiXNb7>F_&wI) z@?Uz-8&eSDHQmN7h5g&~o|n}c1D6-RUJiWLM2gSKInd8`t5k=xkM`1dr_jF53;RaH z{-)Bxg2!&9dnOyca0l=|5`oLzl_+kD{nt5M+${`T?W;j~+n`Mp z@Ym7sYcrBjs<_LvpI@QhLD;#!2>+oK&V6%u2kQC^m8@PG^2a{?9=O?b86`_CFd!?> zuf4K}>Z9p9tq7fs^Gk$p1a9lo_g+3}XkXZu&nBL=9idmG4x8n4^0o0~AMaV;{XfLI zv)-w|#hJ<&mzh=``y>yhcfJk%2J@(U)lGIhW@sAh_3cFDE!)*+u*1~^x|i@6&pAIj zD#q!NpL)jg#EaJN#RD|n8IjP(1IhzecMjA1E}-%1c-nXEu^HG0_>xaxFAp|{9v-!N zy7S8hL<46J`vJF?t|6bzL(g}Lz|MGg$YQ5AI(xooI*s>w7VJ%2=Lo0MoT2aOx?Wx6 ziC&n4{M7Tyf!}V+ML)Ic3D%KHrM%L27E?UNC1g5&k-nSk-kE`Mv5vE6I(}JU0dTV; z4Y>W!0Guzj%RTBpqZIt;rsZdYXBXvzZA0JdY_qP@9jkdB16IJeS^83p3y*juT?(KRK{r)6w9S4tolG@(sWEHD=;&~q5XUtE<7Qt^# zy7#c3N|Jp_@id2CO~;|V`c?-Y5TzI(IvA%s`+g1s8>72==*h69(3es8wt>*HR* z-dPJ=*P^`8!%nmZzt{}iw57P|Uls*HPg&Y;^(=b7$cEL2INUxru(!Kg!ms#RcLe_1 zAHu`Oa_D3^=^jNWPoWtb@S>RC@J^Ej5_!4;c zDB!&PDa;ECcn9}qQEMOJsoQ~@jbGEdrg{u;Hs%}PwtipO>lO4n8H;{_{Y~7xKNUK^ zsD$z89%FEyVb8sA-kDyPz$4=5yOh|F8=94;)65x9_RU6Jb^T4r8mX?dcSq2C)SFD} zrPEZLvm%bpJJw+f))(76J;vF~7AL^3pM|0yFaCIf!&L##`P(8J_VQvV=26Ce4SVBX z1N=Plc}P~CJxkvLoNb84y5={g_H#U@M|<$f%+GM%@uSUGI$T$xce@&uA90YMZe9z& zkLbMPd+6Nc?@d4)!~{j-syzt%r@Zw7=Pch!an`vXQ9OV8v%k|L4|?Jp(gg9BuO}{b zI6q;)BNmON^W|b8><=<uy~zLzR_L_0lljRekHzdxQsKG>me zzJ`5uI(KB10K|d6wI%zGP!@jG zuG4!QkI0%t_PgmlVW<2)#^HKB?PL1rr--MXKX$Og)yu)8^T2NCQOEWmZoI@X@Tfmu z!LMGJg?EbW9|C)^kiLJI_E+IoUz-MdTkIE_-+}&gultbl%0{Mv$5iN-==5_%_gK4| z@|~S3z252J*FFS4>%E`+{1&^};jG0Tsy}={dfG(obhu8L09?NRC;XeBmavyUZ72MX zCpcfs<$l|oy@}jIyCMD0%3}Z5{&Y^M z8%-(xmrG?pkD&dOqT27q5~q;u57dIMLN=i#1a|87A1U-|+UgG*pP1{lR)<$ z*^Rz$@Iif`UpyQJUKJdNIGfnw5%Bvl-P81@c;LKi7S^3TME*bdsgaQ%&#f>Y-v^=j~cNK zxXPjXhWu?xjKldn(l630Ag^?lsY4vD!|2^DcGJ5=th89~s%bXqTb)4hIiknIZxM>K z9lrs3_{pj`2U-6vsLT8G`z@=ne6F)s$@D#1AAbTK-X=^r+&&scOm!6_J5jd;QXJ|kUy4sLgN-gge* zvWMsY4L59|I2@#Rv^jYJ^Tj5A5bnms#~(s}HntDqBhweeJ6x}$JeR}90#_mZX#Gyu z@9{_96U6oW$B`$Wwxy;HB z1ulnP#5p2nc0xRLyVk(@qT+}TA0w7K9(E;{^d}SpZdXP&upMphoK z2GTsr+xd})ykEs74wosk-bFR~KLr_IZk5B?##s23IrKXZdviF+;X07sP10u+=2wrJ zljv})BLI@vGJuPsKnh@}4~SNzUG6)BQ}A9!C7D Uze{%b|Nj0Lf&WF||49V?3%ox}jsO4v literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/28.npy b/MP_Data/pose1/0/28.npy new file mode 100644 index 0000000000000000000000000000000000000000..f049a2c05428a2eb8d11428d59a4b91b7a8b7395 GIT binary patch literal 13424 zcmeHt_kYjV`~Fd@Mye=Ml+zZmn^H5#v4YxLY8@d)YsLs-97JNrh!GJv36It#XCR zd?NpU{maW3GZ)%k_y16`-^W~YrS#XgQa+Sw|J#3DT^yQ>cA34v6<6m;oo>2zvFJ70 z*^?7!*Q3gyU0mphc0JD1e)RK9@Dy!;cH659+T{UiHwXG#*RGzuzl<_% zxH4BaYWI4b?%Gv6^;hpN(EPH-Q<)N&>DonwcQpU^VbHI?nTU2#@i^M~dGa6gop;OW zV|sg*D|zQrhtc2TKfbH~d55cCOWkp$iMe#vwcC?V$o~^|0aurwJap}Pz~J?+-7JZx z@hWdW>u`DLug9)5Bln>{A6oSk@UpKSxKjI1f9gu{GWK}Nhf=9&$6VcHZ93yh+4k}a z)Vmdi|8&QL8(dwC&VUX(bH+2Y-;O+;;_NREOhtQtuhS?ycl+0s_D)=uYZnnMwz@jo zP>=jHZ$J90{V&eDcC)r1#x>ukp|rI+qQ4n)^p0znRnG5r{l)7ln78aZ9sRA>vs38b zXdlKkY&fYvae#^D%LFM+KzP|zd&sXN7`JJhvT|2ARYJ_WNlX_lqrTk+q z+F9PBiRd@A`aoCOsNz^RUBC7_*oWO;?@IkHs~yU!frvle_$=B*$lCo5Hv`%I{ zZAkY9&$*A$U*`Pno~l$G z?fjF6zoI>4EcCJKbI{J!bd+M$_C+a)sTL`)x(Jw{hhv&o1%cHw*$_erl&ca7xkL# za27C|cupsyv_sZlTvjj~b>93m;dwuu@9f3Iab*AYGT}9oW`gIBFw{lCOv0B&&2YHh zM0r*m&5rex6E@FsIDg{7L#qJSd-u*IxY~nD)rxNhuef+;N@*r0yisKP6S?T zHE@+O3hSc6W@8`l5?#o?@EG9s;@}u(&uX+K{|-K#;qQ3&?wy6Qd2Q;y&WG~(+iX*v zy-N8H{>=5EW9!jV68vh*YB^C?|FfOYE_*%2eo+}IgsX-qb*G~-jz>RCCfvIaN*nj*Qt&_CP5rxj1D7M;LBCiy z9D3}R9D4Yg-q6X$C!;Rvtw$bE(@HOKJoe3X@NjmG@GEEFPxXxAUdHHje>a~`E=X6( z{C6-O`=JizrLKCDKTGr_9ez82n?o-US8Dthzw_*462g}ZTO@Mjc1mG(lf{Q793 z<5!8quksB;KXX4f;=#1|g8ZB<61c882l< g4c@UkLnsZ`d@)uf|NL{%3OomuuFB zJKTOg8}k)E4#Ip{&8>(NTWTxp?QGhYtm7Jt%W8EYo`#0}bLKMqBSy3VuIBp^&)+NI zPoDn}?Z>vIFSz;0Rtd;gszes{h4Pw&JfogIflghZ4Dp;@0zaGU$Ok{Fe~D68bM(1dna;0PU*xIPlnSy-*kDX#esfE0M>uxE=XE^O2h zvd{Jd*}X8>e>$ZQ{39}+LbuJ+5~Y5z1OBmX;)%ajU6eM*8{$cBf&Ql8&I@jyx?|1B zE`Idz$H3+LblOMleBn=XbqaV@+mhHXs$4AgwaQZ9Wg(&Pv#wkTeqixefUEzy!d_O3 zr+j#NA8=W09{BZ+IQU=OiYEJFSJRvxH8D5#yRms`JtmaKe&yX8O?NuYo6WR;$KFOM zN6sJPaM^wq>A9VXyvREH40pJ_(}n!Cw-Dva0SOTf*JWt`+MhGQ!*aAn9NOEof6X(> zyK;U1cxTVwzo7oLB>C@EKnI5#Z(r2eze7-p)EnWz(_f-)*%p*~a3byN1+-qW>m=ZO zc5CD%R=YLy+uLQxJ|i!9RMs5eX6SM9!|!)-kJ8E25GQ8WN2LE!BjgzoR1$SlneNH_ zR9djpBd(tZE&_7WJo+f`vwU=4H(qq#lU=eUK>zmj7?%ZoOmVfiAL3Jogkrz2(FQ#7 z$eToe=bs{;c#a%~arFEpxTopSbHQV)`J>c!0rmwyvKaF;e#60|CzhRraXZ|G9bf$? z#odLID;&7raFN5UAH|J2`4T*K$a~_v;& z(4orDgr3|Us=_~Z zJH0#1KQYJyV)7h}Yui=DdfD1HVb3#8UEkjhjySkUdBOZd&++ zI-L21!rn|=LiQJL{0Q8)E&RoMT&6f`(P5;+dHD{oXS)i(o;6JhbGY#@MfjK3V9%$V z!Z|1^oyUCj>2$*LheSGinP(tycJw)LnSCJUrPJsh$-KV?zu4X=0{k&YV8>RKq_Whp z<^E1jmBz&XXglorj1Y`#2hw|4EW1bkShEWG(;lRCQJ3i45VHm$59q*uU}s16Mkx-@ z!1={vDR0Q0?}790t0O8iSQl09%rK|ZPTUHe=KBu7 zWrBBI=x=-oysE)2;B035@ov6s+&S>-d|>V>XbU6;FP0_G)ee;_*98c&*8U9KU*74ZQps=`yD~MmwCn`k3Oa zqUXMpG?Dh#pzP#_`5!^2*fSjGAe;Rf{ATCZq`!J;_@51X1e{H61KbvwKi}z*Wjy2g zE&;B5f)Ed;C+#bfLH9bdE)Mxn4p|N!eeEsASNW&o9OPel_UW6agwHt#o${xqu;;Jo zyNKwyfX@A|E5Kjo!9}#IBM*^>g<|M0dJLdEx8_?q-)ECfoks6bd$URi{24^&vfNw= z{$qW@u`Xu(Cepc`^sr0qBQf7Rmx(ue3&!F8q3xZY^{Bk4vzKMSBbU~Nz1lVpJR<5Y z{KKj?p>wU>Vwz_t-BZLppOxV6P48JbB?aS{T?xw^&Q8$2&<7V2{vZ$GF@KZJd%lQM zd94B77h-rv@SC_m#EIC{6XysA_MFzMAicj#S-KC%pA>XnYisEU>B-qOw#}+z!b?pxEZw~>k=lzcO7q739emfU@`m?X0-()X9{fjn2 zy9}#??^I$T-4BFM58zCWjB)x+x7x60ejfwZjRO-Mt{29kuG+6e9@gIVXnmW~cLdY+ zd&1v*iT$NZQ~qbWYE#}Wco}&>Zu^e(Z*B*ipH$@MZFK*WRTcxcHF{uu?d~ z^T{dTszdm6%s0jJedK5?;q^G()6&DpkK^gP7H0*^9uTOu$L<@6U9f6k(~9x671;|3#5KG_Ri5mVzloaC;yxk{vU9C zI0g2y_z=>2N5Rkf!9UoaeCaXzPIB%0Qcm=EXXS0daF3Zr0X>y*gV6xV*Ju z0qjQw1814JfGaP(82A)A&qRed=;1$vtprceOVGpPZvtnh7URChx_G_=im`|nIlbCE z*pDhs{Efp2Z+aur;o|%h($i@caNc_+?%V24EO7H~H*o#&`K8da_gAtHrtdm-+NK2H zVK1Rak9v!CU1Gyjhs&xSp03qNXSSK~4p+@7?~6t>FL8g*R)?GQm(kyzi-En|HGU2F zZ?^!>y)&`T*#3%>9c~BwfpJX$efwZP zvOm1QZyK&A`GuPb`y_Bx{|&w~tEYESmwnEYeZ#_CoV_eT-(^fc^0y2= zFx}}?{+{*f)r8{ukzazdS3N!7i3Vk1ULw2-_9LH=2|X;ym;C=ObcN$#zBe$Q&RrdG z%SFDv4%cr=lYfSl1;1?>9O3wFXZoF2-+4&tGBSncTjh7)>b37O$HOn31HXwW zME2?1;=!|G9_g95<)X6_MczztrR{&1cY~~fjr{$f9ry8vTFEt7AEKe;4u2={3)8o>1I)3xrE7Wah zSMsy}v~b6-^PBzmxM{&YVuNF=Z>p=6;<7oY@E;7pD^3Y1MukZOkf^%dhLWGf7oK^fEotOg4zhr{(c;#KA8`>oCSZ(oPoFnZ^( zuAe{;555)v`*YP%S0DL-&s6-am%rnmz5_Vx9E|;L`ZW2?;q2058uz3}PvYC*!0XYv z>yWExXP0UX23~^VK%AxTpsYgy#E%(E?<)}-j`h-=>fwHC-=w0ycp1UJvq{UrKkEi?lQWX;1G#Um zcDP(berCD$z+ME-gdc3RgRr-M-JtwghHKb&K7w&g`-?!M1|G;l2%^*K_pg5EB=zFt>^BM1WOcUCV=GklV&w@wvelMOAI#oCN z{~%-Au7&-<>!c_B1pHuwk0(0ZKKLDekSW6uC+hUz_!NgH(*DxLGNIF4{;Gzl%>$!dKuo5&ki7 zoil;<{%aWxdy`7% zi0IuLe%37~Z*lgz@(b9B69HHs`RwEzhqHH{ymx;J{KI~jy(GoqO=!QHz#bS^d{Pj3 z#%z3oag9yJeC5H8xIgGZ{ekmA@xX2C9!sF}dL7{Q@HXH=ZlHTeKYBll{FE=vw=+YX zz3oBz&9|LN&xluuADv?<^y~NgDZWm}(S4vct(RFRfb*H}u#WcMY8Y4kM0#0)b!!~I z_M-cw4BAL~I+sWM>lrt}Z(2vwygrGe`}uUbr?TV-!n^f|!n``tIj(oFhM)P|AgrUE zOZP@~`8{x%)@81<7Y7SMk0^Q)xGCQO{GxUv^3TA%z->%4-W~GgFyQ?6GsN#*3HeZ* zk0hSDZ^-_K-OHe7dlqnc^DXk88T)XD!%cMsoSmBt{ru{!7>Bcu$^SYm7sZ9FGBo7_ ztd!@R8qos&=RN1na=6`o7N1?b9!-&k?=#4v%p!%J(Rlf%TR}l zq)Vuqq&(oWC;kj`I4^q*xE%d0&EwDp*sFVVPZHTi02fiqzjpSv#(Uy#L3}E?F7}sv zLi>(aruPdgIDDl42YXel6zPwqbAz{HleU zK{eXxH=-o$WY=*h)rMf4gR;q7;;GXS@nh$-n(geBq4>9__7OhexpFuw{0r<&W(IIm zaw7JxZcq1hwxu!UF)_Ba)5%|W^5D<(`-vQo8RBsDdq2_>(;g+eT_5)l)wMF}D*Jkr zJh~V1sxC4fbK zL;L8}q;0@!CIQzKByd}13H&K*P<|8JmjhQjr{X?lO9hUrsH)(%FkYXkO|w`Yx;Yyk6{ZwQDQp z%i?EIzN%D&?%Q4Cf%8^-2|u-Etp5jlS(tE^e2wx?K=V@IdA11tF%?Sym-=ul>|d`V bzxh5uoTysa;~f6KzyEpQe;)Y%!~_2alg)8t literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/29.npy b/MP_Data/pose1/0/29.npy new file mode 100644 index 0000000000000000000000000000000000000000..efb6ce9f68696ece6dce5f3e1b445b0c3b8c464f GIT binary patch literal 13424 zcmeHt=U79WO>C=5+?~Hz_O4X`WE?2r7 zAItw=|GZenUxmO_zl=r}X>rT7+FZDkn9-W+AD+3sDIA4yHZk>v>x=NIX>ME{c!zO$ z#$uc|{SV{($P|q8I2yN)e!A_R(+j`43B3o?FmC>)aaB0XI$Rz-gXa}X#kgKa<6`0i z*k$KlqxqZOz&PvYnZN4U6!*M1_ko^Ymx6JTo(}s&tUt})?-6+HM7Ar5Za#mH{_3uH z&Xy`l>p$Y3jPX>@^O^3@`U>|&t8#5lb>pVyN9e0-;jmxq??>YWvfsw|Q;+|mm)-Tt z;9I{X_s|AqKkCM%$A2czu*(jYlkz`wt-uJrKm4yFbI|%WL})i|Q+Ew?#o&5 z%*41oF=nOf+wa4IUCR&sfPGVgd_RI;tlWCnicc~Au4M(gBd+AMOBgq+ryOv&Uf!`W z+D2dBcP;l%$}BQkap@Z3QI?)v+~FeTN5qfrSs;rWXKiLbp{uC@CM<9YStT8#6uL!qx%wc*f@T@CwLLZ+-DgD-Y`bqvof_^Kq@;8@IO z%T~cSpI&;m!}%A3V4o~X_Nb=6fu}+r%}aFicG`r#99bRnn-B3T9BvvZ;G)kw!dr($ z0l(Ch_@&yzU#7vSr4ARBwvq1eqsTw@@!U%A)hgm&ehfa#5(0e{7DD>fsa~*fKG*S8 zvD{QA3eTZBP;!}axcr0WHTY6$&M9!zn9j+P%kWQw)!0qCMMGj{yko?%~$W_0Lp3q%qx|Y|j37-7E6zaLk zS9bz*zWW6KtIuiy=LH&uL+4#MaFbAj_=_t~0X~`PHlKDD^T>L+precTgT5~I7PyF; zKiu)H*Inr7B>}XLFE-PDg;fThhXnyQ-Mf+gyWZf7d_#%vUkQG*YqOJ`tKxyPg7arM zeef0R{Xkkfy346mW1auXyyDL zkzcmuM?9~(%_n@$=iuw^$H@M=hk%=%N5NO)^Haa;1+?~dThh642Yj)V&OOsPGQ!Qv zW(EM~W1Azc%ul7^XX8t8Ysc5XxO`j%`OA(_{L8e9@VA`Mb(PZ*#T!ySpZ13TdBP*C zmrq$n`lVW8T%FiI&GGH2lfZQ{)fqkQyBPRk>Yv1KmjkV6UMm{>J%7>jkMjYyzYn5) zAJiY~WNWfgTr8hW^(tu(#lzd-r~_<#*ZEGzy!xB=*LyQ?v8p)oU6-j&@$q&>vR?*I z-3jXBTJzum*^%j6TGz{F8b zV%zE!PG1DS247F=P4jrKft@<3BzS7g7~m!<7wl9U73ml7g1#=2llCj;BH-*6)frp6 zJk8s4A??d|)oHzd=S5vLO$_)vQ+LukQw?#&Q#+xr3(f;yXRnWW<-#_=MUBklPxXZC zymE%(VBH7QRlT$s?eCixlo#<`QD=DFUZ?}Icq!_*v9gM>^HW|0XDn>hru9;H>H!=y5&>{%1b4 zkJ6_ejR$XzMLfK^hrVJdG=HH;)IBk#0Q#onCA92q81hIbH6`A|lY~zh16*t;zG}Z3 zcAAdIsopNE3ZAXg6}W7jintX81#s1?9Ib2U7x068+>r1Fp7^mdz?YvlqWOlWQoHFh zp8%Rm!g{ zQ=nt^bb*epe1zAi}#{0LtkUu`X=C9 zw$VFCKj8!E`?aNgY+Dn3Hg`FVhxjA@Sw(c|RipRtgFaRfe3?%1qHB5h{(<1J z+9%p0*H)zS%eGpSML5uvZ6Zg%N(Z0oE(8w#Iz? z!*{@CZ|_M?pO2(CQ2!jm{HpUS%E$0Zh!gWuI-LU@vLl}DjmpGpn@aO6`49~I$KRuM z7J33dsCoZRbhxZP2|6N{?t5}eDBgQ`iLK6f8n z&(Qvwi+wSVec6rf)p3i-kB59ouVh!sm(UgDuek2CUuTj>JA2sNr{L*oJ7B-c^sS9;5ugUJY_x}8D zxYN zA2tLyJ-adnJTvbk`SZgE#EfAaqZ}@63DPg0489%l0{LRnZ)3eY z@GNkCy8jf%XJ=Qb-0;O5jbmCnCujOSg-cJ2A+Od2(8F9YO!Ai-^Mm4 zet10DlVb$tRb?lTf2PyD!$j0azU$)q$js~P-qN~Sw5RdN*9&3KqUzwO zbjmZ4?;M>+jLt>*G&AN^xrd;htJz<`9y{wJ#d*7LdpkQ>Al=i{hK987sY~iReO-v& zBc$&-;A%;+(GFKdvQWM>8bI+@ZV=YX>UrY4480%OAu9$tJ`c$UJ4IwJ#E~5~756T+ ztpRX(eL2NRxImp}+Zxk4BMt!PYZ~={ogt(vDjdMLD0U6`tH$Oge_gtV);5_z=WkFB z^i57W$4wq@+$&Tv11{2vkso~8!vCxb-M8f=df#EwR}jC{3CzdFMuN{zmZ0;o^KP

    Bd}o$NFx-r)Wtt9bTxtLOX5)1T>{leGc)>*!@X zCt5}$esmkMUj+qHeqX9f>%DcD^sD5@zMH$3$^VNM0=I{X1J@nv0vCn$6aVM?u#>Hy zhkCBsX2!ho!aCq8eaDOaZXeUgpK@Cv(oY!}?)KOCEPxJgm`d@GUJZ8IwUKz9SE@?u z=oPaR{EJP1iw@ghznt9!b&{>6_e$1mI^i+~ajusBP5Kv#A%4}m@pvCGjoLs*Uu%sx zF&}4)b^7d=j=)XPr?7_|3`N|s)Biz7d%Xj0S{R(ad_y+i=3WTxua7TqTc;0jIgP&e zvI)CUS5;Ia(#e!S{M7B>v+v_zpBy_8{j~vkV26!;30%}{ zG{pJGZlUwo1mpy6XZTLWzVz)1zw76Iw0@Z40><1331@tjR`TZ=QH|F#fSNTZ!3Ae-$rypJn<1-fXi%WaSzvj)dy|^ z>l6O@s^v~cyr4W$)u)h7=khoQ^;ZLk-(Lb}LB;7Fc!R!|v6VxB^HBvTP9AFFMMPm= zRHxqE;D>?7fvb@Rfb%_U5a!KB-*arEG{QGV!k@NzX6%dHSrfSUu^;N2c)yGMl`S3q zGv0Qx(_ve7!cOr=bByb|$LM`iha-R3<51|ZZXrwkGU$8<@nzp`uuDF>g!56S-6j6C zGk9Nx7h#&n&GH^C`1KvC2{jWB_&Sv|eZ#q@Mx^$N>aZZV>w}IQ9 zJAt!iwr9WGBkfR29D9DdNN(r_-bjfV-p z@2QightNInvwXC!a_2Fwy7vo*oxR?p&$E#~c$448I$ZpCg4WwMko<7}CH!WGQ~Zdg z^)RnJy=_dQvvXcW;vX>Jvw(n3PRAxtJhPTQo@Us|vRJrHWr8~rLaFg_T@Ji@4en@zYF2GIW#_Jt!&Un7J z`pv?+O}@i8H%-Bt=(961X!VIElrP8WKFy!3r}0O#`X;)0%U(lYW(kBJgxWy&q7xK{ z;_*3*^L&95Fz;s{(buKvIliWBABXFiq|Xi>!MJJaJ=)>&9NmNM$)BJvkM5i2<`v;* zNw@Ak((}6-;BZ;q^Syo*;r8+l#2e4L6g*qo^Lx#gb0#~!3W^4=AuN{^oFfiq>Nm(>{v)wik3J?*d=u zilTj4;fMRA8TvQb6YP2KJn()%Vup^{^CxhfLxFF9{uO-Qh~h-%oQ3+sr+q@+nI`RE zr@WR9T<%_p^G+ZCjPQQ>prZ?{#yx=#rgKUzIgC7F->+Ta>=YGNfNwgcAYb&k6$@ei z&vSu`^dgimBOajsu<&G~!R4MEN+QUoWh8 zhi9LvUAltj*Oln&S~g)UbanA3I0r=+dQTVql7QRu^qys6maTSt5kmEopFIq|suf3m zc)t^THU2*8r=0VXc6^zg>ZaXy^rq|cqZ098UsHU@ns4b`*tI$;F=O1+e@!~go`Y{{ z-&}|19{vTKb^C(+|9UU<)gk(>r)qQnZUR?FJHDw&b(^L5(LO%TihDKtiIINechFbO z=S%^A9G#D{XFPD7rwH<0`!9q)Mex6Le<-jA`K4a|3mtL11D#*@cCUqM|t-|VFN%MvqikwWLVxR(q&S)H&P4(H+!=?|ZVd0E@=-A;!!*baMa z;;&?9`xyfrZhFvpAqsqrI8+sj^l-Qsuoyb(dQ<4wiKpNU|y3<^;x$HhmL+;1NS^y|gP^1HSK97ywK*2J*quQ39u5SbRens**Xc>|mbrbrU(h7S1^TD*PcuVgop%jPuQXBF^ndn;tOjA8E59wYYE{vi4%}x5&rycAO=_L{8X6+o< zsqSrq{c_HA#Haj)eivj}e1P-(g=imt;F#B}A^({pk!#>jANu{6ZTXYzELZ~ZZ#&&0 z|0Jvgt`1GaKH99ufZKxefb+*yBH;h|_sGxRuZ5pgS^qeP%hHzkQ*(pQ%1gXo$XYqT zXNzxvFV6NL{ioG|%Q5sFmEHUu_X=6M7jXOLHu%P?7T!CU&luq5u$RZ4or|!p+9`w& z{|tOvalsDYQ50|Hi%9V8xWpKTo6c09%{2P1V{2dOpO}HG>;J%hrs_~U_^+Doa6W zd z=>Eg^egi+tU0;lGI(#siWAj$J?!L%PU0NYnNx^Aol#vn=o9Yj zH&r!o`zPgrj%wP&;e4kbbXnV?WY_*d$X`~eIQ5ge!ap+P!B97^T$G#es1UT~?{kwK zF0y*wv(~i$Ukn~H!{MrNbK*tp0B%owqa3b#ECSB9T>x&pew*)bUScEclquB_pLR+o z|HKSjR(T9uH0y$O$#IkDzEry{bZl~Cv@-t^%J&_#9@}{t>ms)D6Lc(Ko~PLQjP^ znCIpdzNdlf@fP;*^Q%x-RiCMZe@*Y>_PZjn;D;vySB>(My=B^Ob-4EGP5SAj3HO~m z-Qhft@<*Nw#(Ax4CJj%_z?mP_XY-&K=4BV-=L4@z=L=g<4Y=G`3w1`lrS}V)dI^5e zP4+ByeAVtW=Hnd~qP}ULa)?izNPaMW0yujWKf&3fyYzsaY*Sg{zwQV-^^pa%u583N zWtZVRGAp(MxA#5&-LeSnjdb1)q4=+NaHZ2{0Z)MQ-I=gnku49-Wwt-ogZHBR zS}B$}zWu^ehZn>Gw>7$;9*Tc_Nx%Loiu0&Z*hdyk_gkGlj&$B}oY&$N)e|%NXW}K#(EE#6O7Huo z#YEiCbzaYXcyA~0b>zQGG4I&T(3kT=fSXhF9aYsM+$^T=le~Bt?5`S4?~kGkeV;T# zXOHxA_D^2|9hJjkAJw|5H61P|PJ@5UGOBN8cl;8Ei$lwS>p{;EKjKK9Sm-#d|NZ^X M1OM~D|NkENKhd0UU;qFB literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/3.npy b/MP_Data/pose1/0/3.npy new file mode 100644 index 0000000000000000000000000000000000000000..1af49de94e52fd34ae220df42861b6f45233a0c7 GIT binary patch literal 13424 zcmeHt_g|K`7j{rlTlYY13lb*|tQ+g%iKA-kR$RDlMQ|emS_Max;nw2b1Sx89(^_#7 ztyt^A*;ea_R_dyCuh!~IuJgSA!29d_<(GVN<;so+Vk zDkRdc8TV@u_L-kQ_X`^r867z!eDJu)VWAdpH)KpyXdWIlVn{@2UcE;BfPe=6HU0Ti z{{Q;-Ac7?h9K`Qvi5tD)2`Qrh0IrXlHN!CHq>|y^i*L1yHKkWoQ>`-0cxRV|-`cztA!32VJ!Gb6?U|-|zd~_7}@b zzz$yQ@~^gC&!+w&ayR;`fRiZs)LS>vf3n*@5#7;GZO@@`RQN61ZrW12?&One_4QHz zJGK-d{~kd5cK7^GoxW&s9$N7pcqOWzx9zIzGt5t)nFd_!?S;DOldHh{C;gT!Mf?Et zXP?GCwRJW>;TQCe^E_qiYUsO%wv-Vyp4n0_?w5u3qSt@1b+fJ31zW2A|GY%GXa8N> zF77tUuyviSF)shu>$$BvJ$q)O{mm)#XWO@)v$$F|^EFD}3lD6&JbZtzt+QUk(O=H2 zhyHp`tsL7fqW4q0jOmK;&9uqrFH##lvh6Bn+7a7d7YzQ}mNNMR^k>UC#%FKeU$r>P z48{DNpYOi1b@6QF{Va<|_50D*_18b&wk7|#Jm%-DZn@UBJ9U%BS)A3maRu$~7oeSe zdotP9oevs?+S2^GAM0m+to;u4Q>#;KDSV!MVN2b~6LIIH9-#JP9)~T?4^|JfC5syV zC&~tA@`=2vsg)1w#x{AD1>QOwaVeEYe%sEHuiXURxbNG*ysGo_O7u5N`=DKm-RQ5r zy8Quo|9PRmsIrjyXKp3^m32zlcIEP<{wrUgT{Xx&2>jVRA6uH*jWC`(>svtN)kWJ2 zn=G#Xc~i!g&g55!Z?m!%bWNwwC0Vxp21h?rxe!Wcf0DAe*!P(DZ5`lZT~w0A)!@s7 zC+0&bzB{uTIw5}U@pl7f;})g>pYSpD@7S68HS>o)D{&Wf*<&gBU94FMezC@=t4SZB z6k(stw7AT^O8kKGh&P#2C6V~IX}ri5h$A&^#cbf8k)3Q*=5H=*_pWmh7H30WfX^!j z!4J-y%*Eh$eMtH#(d75_abH_p7P|%9d=^J|kTcKX;>90?XQz>lSGhSBcP8Hft{NUE zzE?i*RWjkC=riKi&9}hv*of%E;vq3493!?-Lx3H@cCg20vMhvc^}8v!?uTL72sU%+qrbsW{N zU!wMZcTR_XpeFr72L6=Z>6ou9TK27t~@(c?C-GK z1krr;jlttFuU{geZ)TmxI_Pemi!3hd9iaODDp+^Dvdc1y>%jfMMe!Kma!E(Tp;3{* zS?P|1H{sw5uR!3AYa-!6J!$`5O(6c2*}$EU!_X0D`U01?RuUdRAMtEbz9Bn@{{viX zTZ8?=Up@z4_!p$O3ayC!%eOqGaZBx`@egdN56@Lf7pOZgnI@8mx(Fx4_`hVb-v3V_l6i$x4+A-OZRbPPX$Bm zBYRMMmbr`h$f7-Amq;xZYweWL!Q@ZzJ^9nGImO|a9*7_2(;v9moV?EJ%f%7U=bdZA z&n)p3>~wxzNAt;P3tZK0LhPb1 z!{*<2&!Z{$Kr-Se8Xbhai{7P}szZCeU{~(Mjp5K9v2z5|ri~qp5 z=8w|dtUe1qi1|80deeNnABFvFl?1NKjt9<9^ajp9>_Yqza|n-`1%K*8vA{*O7UYMz z&oE!U&l5OL$pl{>sYB=aMql7;XBKca@N1ku;wI&prq34OPWUPC8CRsg^8;GPdO^rj z^pk#sk6c1JsY7tzv47nAH+mj$^}z}9&qlgOMZHAQ|3Luf0W+Z^6Nlg&V`XOJ9OGLy zkevf70#{u_h##^IxRdb+Iy%E39z;k6@uwaI&IfD;Uzhw2xSqKQxO~$Y^Oa{QKjt2k zmpGb}9}+r&&u{$zJ`>H!{z|QYtKp|e=lN=k>y&B;+-YzJxKO2l>u)HZ;6IfHZfdu| zdda5;5jXm6D)sv~YJ=TJ>>PuCbrS6t-RT#clkC5G;OPh3prf1h!u>1z)&?$)x%cVC zTI#OQ3yMfX*xC)gL&olY;r?#XI=wyFSGKbRzib(J{n1yH^A4W^O3O z&&ZO%WuH*sY~(!X=z{*J%X#j+>{bx=m)W_N_V0gPF57wXq~I7E|NL42-9twQ(s{Lg z5$2`qA0m9hT@G9~`1w*~&*kah%l^~D zEw1)0!+d#%=``=jA&C}e-*p9FEu_4_B(H}3+;0kSzQCQ|^)7|{M||Fr&aVP=ZmFV0 z$5YV|hY%J(3Z8@I(- zedo8*#Pf-uemN(xA59X)l{0!T&G%jf+K+4dlYfrUeiaX1PJo>cykRFh6OK}=)Og_C zUqhcgtBZJJzAx4TU(o=#6G{6|k1v3@GKaHizXVZ!DhbPoPU<=`t6w{K6A9b@j0|L%4HUmhAuywYhX*{hwap%au#<35@UJN2<{DRx}F z(|u2^34|Z?h;KtI-}Kyy{=9QEN_n(UGVm%c8uxY!#4T_8e5lo7qpp+RMki4`ziTrW z`tO4g$EpqOOLM!^0*lMEXz=CyY&r+3+>W)lSbiCNvm+nIQGFLovAEhX8-C$c>d<%Q z=c^}WL5IEz*v?j%7oSld`3YP4isGQ}eDa6K9mJ2B@CC-zC&y#H?9mdJ)zPE&pe_~- zBR_P_mtb+Hyf>{!g~`BW>%e%6t4O+E#QGfAFS{Saeq?c>&}Zr0$w+}uTRkufO-{8C}SdC~E-j^opjZ|J%O$)31D#Gf_@`&~C$ zPve!00?y_1Sysns-w!x{z7DuE;0@MAd4GgBktfJ5^Wxxgm*tNe3%+XE8YMfj9p`{q z_z3gjF)6ez#m3UT_9OtfDs}}pt33$!1s^a0xM=YSaQ;a-#Fd!01vuM~LHPUfIL}%6 z-+*iHGc>PLt^{j8ubiLkUy@4u;)$$eaW(S*a53yJ;9_s_FpHagbpPsI{jiRv|Iuj{ zmpclP|M!(3e(uC&F3XRnd)c}80nNMPiwN+`FCjbE?Wc9_9tb;C_GYqkV_%B5GPj5y zGZs8qb2Q-(FZfw~r~M@Onf*Ev^OfW7&9}Jzat3sG^k&4r64j9}nP|%2OvFLp&eIX( z=hu)JnvBo#JN`tv^Lo zny+b47X4Uo0L~L7C=XHXE~1~@)^VKW^GOw9r>=CB@DJ|;7rAsV=vHemt~h-VI?ku1 zDQ2{B^7*xMz)kMw@V~gR9RAS{ zCIOdyhl0=j9%H_8ZYIV3bNXIzqV{1O#aN1Gc1S^o=ih^P5a%f`(%b2sS)czK=e85x z5%%k`#W62+<}B<{7h3{Xdlpc6C=PMU_Kw21GOjD^VU@!tW4`^}`Q+yHz@6fiV=OLw zegI!r+(YZ0@5wBSv!n^w*Zjj=inp_ktGe=F$HP!OWYTw~J~3HZzS(jZ`%%C4p*X42 zZjR;4GRNq^;YG`|3Po@ zPNmEbH2-NwNvHDn%G$%-`Lx>7n&Pur0NL3uoz{2s1Oq*$4jBS16yhpKf&HVKzM*?>%*IKc0#s9wE z^5ye(gqOVledDzoajSzfNymLJvAgPP%Qq=;z(uz(_`&Rmr8r;t2jOcek20n#@&vX0 zAJRXc4!%mQxXS8?n#F0p5%gW9Lbj#Ao~0eYH$Hpm9E<%{fBrIcE?@aR8T`*$ zLdR^(fc?Bfg$#?EY5t^tjq*F^#=wmhchV^jlM!dJUTXdn=(BkGox(VDzRCNSu-{b# zy{qdfQP5+-rEs2zhn--LQ@$y1-gN}_qZ&7e@XK_+%g!Z2vhv1d+iL;W?dV?Qe@D~%!yI}i(%lvG z<@rwWu=i>Y;(xQ6#x37F*5ay71JuowzL+n+y&3yLE*nn#5#A`Jr^UDer0 z{EuB&FIJp>zZOM(fs46E!mPeCAqRY2vh8Kqk>6_x#{GffK`mZD_th=WRJ11^q481` z{H!V^k^PzNV5bxBe)nGUW`pIM8*p=)eqWPIMvu(O)6oUp-_9YeqCNsq)q)*j(q0X)`L zLPsBzSQpWi-Wx?5!ugPW@s`iV|4VT{v^UN%=~aN@GoUn$_n<6rw!0hn{E`>pi`?&@ za!8`p(GN=kS6+u`UR!;@H%AKtH@~LPkBlJaM5NBa8u@WPpji-idR{UewS3G z1BO~$H6;JA3-rEiCQJ#lIN$5`&#-f(6YSN);wE|q^x25_C}r6jeO;E%pQ6sY?!vrT z>6MulXWn!UIDb?8%Ra+K03T1|@&>eDM9nTC78h?hbj&|PX`G@hao)-^v>!!fdfyNM zk49x#{u_6mQG@K&-wy&`&lyksZ+r@SmBcK4(JM_fjiG0ll^}^ z84djbA7TEo>0j7K&d-4xtd4#{_ZQpq7xs%RQXA(U-^9S@5hZC~^uILU@>LYYC$CY6 z*1ZppvbZeX6XPmx`kmT|?Tg<-S=tcb+DAg)%=@y9wa2uh?_r*k`y2X)w}?i$o$gBP&lwv<@e{Cgpu5hJHtIp40D?oIM5K@a^AP9eKSP`LnSH`G38EzUWPP z0`Jd(tNqpBPuAgE@{b?Ad+CT&Ao#E9{rmZ?}g|ld|N`uiWo#%dhUSxT8r&ZTgh#EV2plU~W3l)lb~_@42{8%jeZ; zzv*WJ_OmZarvR@X3chjNzk}3XiSJ6|N%5ebM4;WdJ{051dX%q(=cugcmBC2i15a(aW9*uO=x}l?x1xnoQ`}_sT&O@ z`~rPPJ3qFCKJyQNK0iTuv}n8v@gqz81v_-+xZBnabvgt0sfh0k9oG9T<|W>Jz23IV zF?3!zf9?UUbLV28s*CPCa7#MubiB?W{#o^I(9uig(Y#C=tz+xYfUCQcfV1Ea!58(& z&mwFG>s_A_+8T%TRxwC z4!9$Z0T-R>z@NtR4sibFIq~N&L7rn$8*a zpmR*E*hP4|^RQoB_oVT5yReR8;Ia_Q|G)3BLf*hUbcuENUUN2*|3!QHorPaMNd63~ z4;|+f{lAIW{b_==Q;n=fxNHu6UH35JO|-5GU0IXjPS$w|eRi=b*%Q4E?WSdBG<2>~ zUdlJ@q<*uvB0q6LC?8PlEO7BxyI9M28dLtvHogL`e5y~hI4e~b`tn`__B=m?ARGfRlSfbvS^S93b} zRVt8u%fCW9|87;X#q~m8su$uoCq;URs4R=m`v|y-e2KVX9;2p#UyaT;XBfRpv&bfN zZj5M7<3`LPd$u-1ekc~c1@1hgds0uGfPKf_6(YPHy#uLw2g2;Q>i1^AMYm}9NB0fG zIpBO(5x8zd?|*t~4&ISWWBN{H!Gq~sDj0!0jWy2?zAC?g{QUVf2l~FtfXgk9VJBmQ zDSlj(cZugT58k`wM9kNh@&Os!3_4vEE8cTS_WSl2X`abBWAj;3h{T(<@oWk^;C`z6|yVK)OoU3ZrWz^ZMB=|=z zuC>4)N{h2jbbmQ}CL%uN<7C9SDx8G=I@piS z$u8ZnUi>DVpXz)C;AU_l@`xd**d@o{Mx7H8|7DV}sbL|aq(f!gY@SC{L z;k3%6qu*n_%mR83VLr6)*{B1{p>x=cCs1A~s;-)9aiQs)6tinWN4pBIvAAqW-|b=! zz3b@q|1Pn(DpZNa>k>)#TC?kjLpF=zNd~L}F7MIr(P|sv`~e=*fSz#TtTQ&v{qA=l%T$zQ2Ay`Q<+D^FHtMo_p@O=id8zC$@9XPF?$CVdL54%7cT) zem$o07rb(lkcO43^U5LNW5$gcI5H@F%-~>$w;nirY;Yz%Hf-Ri;LLiJTJ`JKuKrnd z9?Ab-|MD`%Om&}I{;n)m(z=q(9+sBk%Df*Q15c`pcD?8Lbyv4Lv)*;>s$~Y+t(ipq zL;pg%=s@i}7qzRQhtSSbAEI3q%ZC1XEVb)NWp7!GYH(|%g>(m~! z0PQmQ9mdzGpWSfntYQ|FeA8mIiy_o*r~FR#&wT_hH=EuhWd*0#VgwK8Ol4hMld&V=&k8PX}T(|8>^DPy$$??pCVs}tpNJ4*o zblNjlS04((ez~gpX;+u+ydJrdec}BaK-|S3LWG{&rEyVb^YA-du3)dX4zQm1leD%wC^w&-PO?T~j)RkXcy9o+`{e1Cr8b4bM#%Ja7qrcqu zC;9JA+JE3b_~yRrFPrZ@?CNal*}JY3wY@Pv^K|+ev?oQ4cDPyk>m zeQ_uhW%FdLpB+&1gRASG4=1>ij~mm$m2%4m#HHQ*Guq{|vIiZ`4wP-~N-?s}->x*b z&Se#uCA)i!;-~>H=5XDj4dRlo%#{u8Cvzj7cuWF=&L^|cUyka7cGYCUZHFuA?FHQn z4{o?pM#Q3B#{5eCx90l9;r7SZuwRXMNBWTkVV^4Yri^Q6&r8A{`M@{3aQwe-gr;Pc zCg0@Z=zrlA^w_By7?zcArH-G&;spnTjmMz?Lfkt2Q6{9?tU4#T$c@{ zjYwMse#y$<*)IFZBOp1-cxb5!(H&Yr@9QH0T$KmQF*(o0HyX2o)xA&)xakxx=0lw`K z06&=UDN7yBH$Ei&z;A%-*p`bOZbNR7ewUfR+4q0X1wZNzaQ!ri_$^~*ga6`h;H>KJ zz2{Bq;xL&whow_VF353u-SuwPd>3f%bi11{>;p8);O3&YRmULBMw zK7B3lTB+cR3iW8cB17V#|9%tlqS@0KCC}Avrhn$Vbk13bSJCMN`MErYpH-SSaJl|G zaMm#}2KtLPp{_;|pZRZ|<#2iD4c0?H>W+48#0-b4>}j+gA~%vwpEKV$+|(#Q_<$E! zFT3v`{9wAyCVP_eK~KzRgK=dP#fSVn2XKC6=>n%C`qqc8t<)H}Y&vzG!+HA{>Ob%t z+C``C3ifO~MB`?$@F)MN*mQ@pfNZ35@-pd%4FO-rjfTHu;~r=?tw+xCclo)tV{5S-1R%L-t`b@#l8} zZWpC5b9^4&6u8bsc|#ub!T#k{W)lDTT<~>pG;~y+-oziUitr*`5YM{x2C_5YE#X;8 zBW~pa+7~7|H{ypkEQS3m`aXk>=}q&n#j7Sdd!(33elE2g{@@3XW4@{+-2=ogk1&qO zJp=l@N_*(Y?C-OLcU`*N;UdR9=&OvAH2z30*e^O$-cb7kfU_+l zkWcuc`&cJ6s5q_9yyNf>n@|Bb8`Tsz(;4uO7E!2+KE60N`0@kY{oQ)q3#ajp+(5fB zrxBkl{66Mmdv%3fvfACru=7c8@@LaMv|cX`WB;;iQt-|Fx) zyYU!y+O#zo*Y0iwT<@t0JEi|)8n=Hk>0BKFf3n&6!Ivw)CwyHEjLV;&gMH@OF^n&E z)I;8ulgZCKwi5JZ@Il0t2{;dZeybJct1q`9|5QIg^O}7CIxOc!*eSRd;dM_Sukzb# zkq6AedKj0_d;x!2-&V*2eD`$XzpO*&bE~hgjwY@s@xSehae3e_=-A{zsGE8>Xx#JV z1Dv1rzJs(bWBSm1H_U_m?9nvBr;PKR*RrM+IVB9$y={oOlm7zp|0W_09_1ZYT=e?)1TW z8NWk_8*?rJ?QHN@iEbaMZjAgJ*czp3ag6e6O+V5P{|-84%r%_9GOj9c(|#{-Z9`zc z9<~!W|9S|;gC2)*ZIyP!kL*k1$hov$7n6YNE1(+c{N{he@7ja%!0>h07h+ud%Wj^c?64^={$-Cw$YWwiU)o>Chmijp z8{j%)4)%+(V@W5JL6_yJhrj5kI|R52_yE3b*dOt4>(Kg&jMmVX=Lf(}-lGQD zw{t!1_X;CsI(yg#vPU0Yhw;r%)nXj3=02gk+2A~l$F z$6lj#NNR>WBiqrrpc@s1jxGFMq6=Wg}px`nl_^^=+BLTUvxl?yRL5f z_r`tI=1GUH8u}&XC4I`#{bbyK;HyjX$o^XIDSm2pAUo|a%vY)V?NT!JktC0{Z+LvVZGv8Ykwca`uSylfcE@p1{RuZ@T~Q%mN)Yr!8=GdgCz1SGU*D zdR!9}cVXMW=Z%j+N0!+EoImR{8T@{sq~CHl;rmO{eIqUx@e2eJ-t;QvrSp`h_%9;~ zkH~_3t^NAK4*uIp!dFfPUwD^7oUkvKkiWY$U+(5B&V_@|);Fboxhi12Y{nzAJhWp1&bdCT(_a`cD8O|#Ff0hmGH1V;PbCN_f?-uq;uKxeJyqU zOy>vl34JdU5s6qwb**tJXQ%F%Om@D10Gu^H^R?s4^`5*@F_6~r&Y(z#v(`B&Zd>OA zU*DM>=X6+p%7eOP4(N$z$45K9DHaQRM6QFh4vPYD?&xnf1LxKHK%cF+J`(&lL%~xW zhtasrg>d?!@I?68@(}XRAG@%B*&apuQQso|S=c7zH~F0IZ+y@p;JjvK_?ayoL;R9A ziNCf6&NWst6u4fL8}kxhPNn-#%f`Uj%C^8wCqKl4JyRXH-M<++c76cHWl@~)1{;8@ zll|!4GNBOZw_gEVzHdkOoT!a7-+zOEiyI3F@6aD{X1hdVzN+Y%80R0|j_!5ZyD0kE zYEj51@+7^RSZ~^|V!+^0j<0f;#kg|rCFse7!@$|cTEJD=HDu@gR+N|iE=;`SuE6c# z??auAc<#wxTj>335;XP^dz=$G=6Njq!%ICx9x$KMcOuz?-gm6+fK{+(_)+lrjv*8e zGvaU`Q)#b(v&go<^~LS#hrNAJ!%-#*-Jl39p-hd8z--626DtS#0%O^7A~(W9mKKtJRB9 z;G2Gww|NcEd*Sv0tRpMpIqw&1tfTRZqx0RjA@+%0bb|0%zawwUnY4~(TLH{VeDZlT z{1!#;GJBEotJt#uam#BCq5ZqMGwkP&CrrS4ZKUrfrfmXn@!pI4khTYWJ9Qt{mvx#o z%klZ^2-?>Xw_y)Es4Mwr;xgY&#Dfh!0KQ&dS;3x#zhFO_E-2XUyr>IMJku-`BaZy5*wuz)Mz%gFM; z&5kzF&VG44nEKa}z(vsM7>D!RWT#mdMEok-XJWpaSCH<+hA7qMK8R=eDdk~4FB|bM zSD6U?b@YxIdNblY!vd4IO~X zi;3{R&XWe5#nb?+#a+x)f% z`OtU!f-yCn*OwZmOiIAniIa;@!5Yv!DCO~ zLWi}CUFdL8XccfXFb~$z4zIk_;cD3t;JVpI@I~v2xSv@2nD}Q_0XKyYB|xVZy_0#* zRN#E)1l*t5`2FCEdwnT>XHHq{`0{ZS>3>P@C)MP0x^GL$BQkO<_`1`RWsYw;zoBuf zZ6$wJezU^iY*{|cSAC%GMzWG#4|^)Kp>gy4Ncp)|=jq^=eg#}5)`6Y+udC}E&NntD zzx}lxxGZ1rd+6k=2He!3^;IbylN_#2Q(jijQn6la_FUy~`PdiwtP4j!UV0evn7CdD zxV{iU_C8pMcaUt?5xDWA@wNX;%0H+31DCZ165p>H;!xD63fy|rcU>8k6?`>~&JX2H z-*Z@pCxcQl?Xkf4&~)yS^|Ie35zzelwM((fhq{ z0q9%*6BPd$URYoL#-H?GQeF`akF0j{V*Ckkvw8*P+uyd%!ni%j?=tVNz-698h#!{y z3$j1q59BS~tH?IT7u6dJeLoQWx*-qCJ#oO*pg8E6lj(?C zahrbk)i)c^I6JHEb^0c;3;1keMe65s2Kkmpdh$^b%0Ke69*76-69%4~rlG@c{}JtU z^pft>|Kcj(dREXBhsy%BP?v{$lOI|QUkQ9#DEJ~vX_WkN;DnS+KKDvO-Q-CE-+aGj zsN>r;^d3+T%aG3Yw80KH{ZmONXN$|=4c+=n*u>k3u3Zf{OyezFN9RM1 z7Zh(@Tan#CH=%FiuYoV?w+7CC4+qX4wcF}+SjDo?QQqCrZezl5PqynR&PDVf;AV3x z^5_5cbJg*LpXnc(k}0F}P@LOe>yllIlfc&@w7>YSb>OoWhp>OO>;;}ZP45ETcT1SF zN4{wfTr{HZt8D2flN@fkde&uc4z!yojNV^?l+RgIH1v7%uLGSuW((a*hXE%t+L(F=LZJZd}K;W~kv$^mYs9TAPUk&~p#8!+hXgymJjw30)jr_zd>G+_o+1zEhjh;Bu1|rRJd1}p zeSWe8%|Fk5>?75=P@>Z@9VzdrNe{4JZ1nAThx4oC7yY6T?Z+N{@oqH{J<0CfIkE11 zK(%qO=U?)(txmsF^8#%qxN*gK&+qFMrcvJ8*`t%g*(&-T%_`o# z`sO;FgZ_6`Ib2`yBm2b+wha7lEBoLakvX>jmo`6eT_z6q5LI{>aBb<`W{<4FIl_V{Z}5>(&}VB@B<$at zAADZv7tEI((b3LMwX7Z4xqhe%p7}w~T&lOm z>4^AFRR5(j>=frqwgEr72z2DFIE*Wvp55PxFetyQ*!4mZxOut2%U_G-t9?9=khX6UM!{68h|3ci{G8D9&Xyz8>bQhIzi@ z*4>Kx7@znL_@bcad&r*Q;Pde-rl#c_wte^xPZsWME!O zJWN1)eNVo6u@AV;w-5VNJ)--V+>k`}oZ5x>H^Gz-MeHo#^2VS=PDdp)fE_YR1aR}{ z9B^~8Ir*XUcJlM(k((V~{7Lzgt^6A}FEAbPAS+CQj+(a@xT>3t_Fcec;I`zqq_bnz zQjELfEb*KDO85_X;7^t1Z{ViEGvNC0Xxwu$f46`=rh9qdW=kpDyV!R(h#wzC_ItNM z9%IKS&P~ioYHz<_NJ^&tyrt*&wqC`7v!{7yIh+MlMqPiq1EqYGgnOFp5>NFeA@DOF z(p@|I^-$U;w&!l(azZuab2T|T>68^%M=oZCIKFAJ8@PRP4f9}TJKk%idPCqWz>n6e z!36kI`_uw1`u~FcE|2z}>FkueB5?j&W9YN)<#6w{iRCG-0{T(=iFeSqVZ^s>63{Nk ztQ+feM9&(e-(oj#QE@r$C*n{&;IhYA;O6Y-lN_Iq^w_!LKj6Aj*$9WT5;ehB@wMRx z@pJ3C{!V`dy%+4YrKFQP5Psmf1Bw6Le8MX|8}9hBBi&>95(V78P8scRRVSA0Ip(=P z7Rsr>-&CA3b$in}YY0%#jtiX7qjD-mB2x>FXlPh@Xvq zmuI8X5kLGa-MdUG%|lu>9`m|MewH5_!5*C@IojcN$~Dptp#KMB1AEPLxR^xm2-VE9 z4p)AL|Jgt3;LCjU?q}bHAPz;67jRYj4e8qjt(={#4Bcl`5`CYPsXcLDlKD4*&-RxB z-`szXeI#a59#b2Kli%i?L_XmMegt2~#$x^1>?g=4B9^{0iVw8k)q=N_R~KCZ-?m%~ zzHU8q4g7E^H^q;n`xmcqWEbXpCmDP`EC<>}##+1w#j~csP1WMa(=vG27&k9bZ4mKC zy#dY&oLq|e?(^KcLJFf@#6`zATn7l}FseSLJ`e*Wazs2a! zp8HbVj(Iu5;pz$HPvQ3|a1&A$_eM6?bDw-u3%J_!0q2qK;Enn4$k7y^gR3A_AR z50ReV-MXhII(^ZF&Ox0S8m?~dXq?ODBi$=l+n$J9-fv|B+S^@*o$>|!{wYFlQa;?O zf$R44`@4$Hg7wn3C=S_xz7+q1^TB>y#-I4rE71O3cO2)S8Scq@-O{m7g}pZ&e#rBd z`2AmkuSWcZcLW>cdH2OsLAz?bQKh(f)TjHNE?O1yQp@T8VN6cC&!`jcXdQ!2t#o|( zk01J*AkX+8pJBapb9x8q6S>hYhkw7^@%cUvUW0z;WdS`SF>W~BpLICp8(#9=D&TKQ zp}#2I45e=SAlBh}9=&VyyOEeLi(iE})Y%GwXG50*R~LgO`#U?E5H5b$1)R6d_{!m? r>=W=+$zp^b>W%nUXR>46^}960gIutCt>gdi?|&Znp9lUw@xcE9n+GfI literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/5.npy b/MP_Data/pose1/0/5.npy new file mode 100644 index 0000000000000000000000000000000000000000..128946d8d8a8a903c06c72c6732462786c3c4848 GIT binary patch literal 13424 zcmeI1=UZ1fw}xZII_lURORU&?8x@Hidmk$jM6fqd(7_TFunl&wYedC@y`rMTHrVyG z7aX@;>}3=g9X#Y&T;~rsU(d^zedW&DPgYh|R)+EwErMq%UgSo2=Gng0YkjU_@=ch)~a8>cGXH%`DFfo{ma1^ z6YonsbWeMlvqc>H6v3~a#HT&^$A911Hg8oA{jAZc`?jsecs{oMqS|-rpA(FJ`Qik&TJT87N&mF-Ti?bSN6V*epMwi z`o$8`7w0SeW&2I*@AQ783;IUXA}#rRIK7tj$Os$aGK%fxj5h8(_U-*-Ink{>w( zZld3X`uT)|Q+x@;__FSQZlL|gw`=yPJEwj@`%LlY@%FtOeRiY$ zTDL3LlefzaG#p*0%M7$>ev&{D0dv^UrtQ z_Ny8Rh`X7c5B~E?!FXTf_IQK$=eIcy`_QrQUu1ia@lD>@7~cu6i1(#`DfnToB_&&X zk^9vPyuY#h3A`VZ_yoLKVVYmX+N*58^P#oB<>svmbj0^?^y{PB*MhURL+n%Dzlik{ zH)^DUpC7L6(>b5F1Nv(hK>q1p4D}12IM^L-*W5nEu%KtKzkfBOuey)Ant^q-)75*HR^wEZk)1K#K7`k-I=4SQrcubM3v_2HK#QF|7} z+y42bF^(FZo1Ra?HTch;V6TS_qItU4T4=dWz6Z{|v*M|q6Y zI+==tvwhvbWpxke^Q2d3JI9wI?tJOX`Ox3f4sGY3LbM*u{ij3!z(X2uO-ZUhNiMU% z8zj+qKUyWar}@D`FU|pvctG|Q|GaHEuP`;pa&ax0_@RD?gZTFg=H(Q5PrP9;t;-I7 z_`{n%1?Sslfjd8+oDKb{&xw0(182U4XIjp$za+lt61Zve34Zb{G+&wcm2~ERB|kl$ z(74{^PzPkQUtuqso&%Thl6c;aX___8d z?Te>9@#LOWLfzBs_3KFF8@qTGaW=)PAK~SiCFGADTLA0JpX|c8 zsw2IxlJn5Hp?8MEpMxIIb>drsi@<4fE!PW{QTzNg@+acmROpvDPxFd@gn06#50fmH zG3j|W@;=_vksiu&_9_JNVoiUeaVA%tt1y363d;U#Q6vXE)Mu157pA~u-6s3g6k%~!rq)~M*N@O$^Lu?>|b4c zHn?g$kL)j;h7MoWADrb`4bIM_z#o-w2d&HgZ>00>YpC@{&HPOIIdUPd_}c>5zsiT| z0LvLqdKs!mS$oMB(t1oeO#ANbKeS&~xx&sl@gC!_ec{MwF}nk}So(v;d6R3I)e#@u z(Uz+zZfr{DNcdCk3-tM{3)H_LAM|Bz+FvSvKhk*?jCvwe3f4*NtpI;?->Qh4_*fTQ zx^@ERyIU=``Yd57+S0SuU3c4F*tflXno@z#Ri$2_pY{Jr`L;e8^U-5^!Y}jj9P&p! z_W^f2_amMvaXIz{&ohYjU6o$oW{tB3`Y*>q-|Vc0IEyYD;g8~L!9~M1;HK7RTE~ki z&=)d}bk+?Dv;Lb*`C;!|-Ulwi+%T?a{)E=$&25aYaw_P^DuVQ%R-kb!45hqU{fOpO zsXN7^!3pG*Dt4R3{f*9dv3~&U)%s#I-wSt8SLLxPsE6FAEyi`mWW>1o=pEDnk!bMOZou|yB)GDl3mI2_p*;3d$<=jyB#N8{!g4SN}Ofb^f!yqp|mX}<62K4a7_@+bNh&My<)h3s2U+}Oh>RL|?Q zBEIkn?A5-DRDWtVpm8_7q;dD|AwQSUeS!}xNIb=x^8f8s${X)Bcuy@l9cAY&BQs+C zRFSr{Um9(SuyK%o)PtSVV>gYPlo9zU_tpRxwPL|_2T=q*lNgsR)^}9 z6WSkKA5O%)blxqn*M0kv{hX>~KlK{zi;ERWkM+U0>}5&XM{d60ELvc`I-ok*PIJ1K z>5`c#pKI*FzK{!g-@*EJi^Tehw{$Nu!-i8l8hAlR)V)G=Z~02>7kT;~<^RGg&eZ{DlXqjkbB`g=5%oJ@T$XVi zp8EIqp~%DB8R5U^+Y|Ga#S?-pSC5L)xW2)#=l2hcv78l%p}Mg-1W%UwKFo4nmGX_x zoe3S4yCmJ07SR3`UiYEL+djkoa{lZ>^BHpz_BvtEFsmcq20~Y--Uk<_BT4^JZTKNy zQymo@dmztM=Tc;MCKL2kVmrFORf+?5rX0c3+_;JQCg;(-lpY1H>NmtairwFb_noY9 z7{|mELEY1_qu{4$ttlR@QUfsG?X@Uw4+AI;-RdHqsx0M)N&kMAqpq&Oyj*D?8J~`% zbNvhQ(_w$n`jx1HaaBSg?QY|cw;k+sFRI@{PQg7#B^C$g2U1C=Vr9DDmZEcnm3Tq^ zRLTc?d5H3d`)ww@^@~?nf6R!l7+2jMNBbr0>^eKH*jk9}9{dV__|rH)YtJj}05>}( z;Hd)gtOXz2f#PtfG4fVdSu)z{=yk6VH&t^1xU(QM+;ZhU3VClvuZNC^51MDW85aV3 z$NePsyNLNyf!BHudsZ+5jpOAXY`ODd5v}i!non$-e_KB`-tzqKpeqZt#=L}+f;yuP zF>v$l4?J0Yx_|PKo;2>^(X{T5jx@76a^-onL0C^cxF`G(Z6b)TUkDvp=3#)fcSh0vWTi%s|MOm| z_%yCo-J^LmrtbpPe+$09luvf(@NaF%uZ^WgT67v^PV(mg_+_JqAt>IQV=vK{c( zH2oZG?VZJe;HuGRa2Yv-zB^hKCj0UOzbb#02LbkBhJ$VwkEFEt~Y@?=*I+V2;B1(!z? z!HwTOx`!O0dnPYX65Q#0lg_V0+hOl~Ish&QEk}J835npW3;jOFrd}jJxBLV@oHy%f z9sB&*+xlq=CxDxnx8SD6gf4bo=4eCc=wAm=K7_tQoViO8%#;6{i|hxy#C*k2x)-Ug zS!mw1=lLT(FC%GQ$?>!fr)J>XQ6*?!i=m#-*ZqF>wf6ja5bT^yqrp|rJ6_gL{$vi~ z%!~VBzS=K__HS|s^hKE+$baMUn(A}8so*9D?Q7L>2Hh*7(&HKO820+l7KlG)3}Q_g0rOAbdCoV1b5c0 zAYL;b{^;fOo#hPlCO*)E?p=9DBF~(OAvE8AYlLE5^3%P}$y*3<5}7lhp0oLMk5yf+ z<2~7JFX|GnQ~~3%PItk@g1g{y0G$iE=NcNfawzJ#zEv7_`c@Zk-oLu19am0T2p!(& zFVas`A(lIFxxmf%NQzI#4cOOuRZjTLzkhG$MM`6&Oh>>+)m-VG@Hd^`vazOlHID~pj||yoKS=BQz%A6y*L(}3x;pp~`57~> zyL%evFJ5E4oy&9|c8Wv_>L07aoYPKu#U+wgxb%~*-vTy^>&xU=glp0a0*247#3?02*# ze=l`G+{C!USTC_Lk>)q01>!8O7A2nZ5V-Q&4S&q#^t#F=W?8zQU%kN9M1}Pdqc@>#wl<{anXZ_xYDsliJjev@Op2Lkb;P9Fh!2}}6@IF) z%i}E9MK9p|HlaI7r=E<0pTqmWUb)mp{MFY%*mp7@n)tiQc$(hc%b*{bK<%8F$bRxL ztcy8u3*6aK8JrdWfO|NLIttED<|Upj5$n!R_z-{80o)w_4e>X=&%ou(n#7;BSp)w) z>3*+oGzV7)m*aOK<4503Dsx-RSFG^$vG(Rrcj&OB-@$pzS=2+*ehj#CX*IZ+*hX1< z=e;1iDe+im=_F&l%)xJHt7c)u@65q^u?^M9zhy4a(+?Q^PL=QxoHZIi`Xw){bWhXg z*(#8IuDbMWB5^*lX>GB8ROc_qBN33g%i8M;V@T(AGIVs=?6}|ZUo^Pxm=){D{_3z0 z_Ft*KnE!mId4$)B056$LQ6?P;mC7%Pec}oP0t03nx%~MqOBJxq0>jT&>s+u3DU1ig9BKV7^XxPWZ1p^RKg9 z@9jkP+mBFvD|d4`^vnMX&g;?lnW?yc4RpGBKt~?f2LH{S*xiAch#@&k^YpIGpwJE zPYc*PlFnN>BN6*ToT7U_KTE$K>rC~qAJrK0PY$bz_=^G8R#_btL~(X*f1~*CKQq{J z^XmkfS5ErARBLl0|9SI(^m$#Pee?H}$<|MqO6$m*odZ{8`qTPmrTxjOr2igU-UW3) zmHh%8m2o}Q+px@`c3fHA74uZ)0=RZ-gZ$yWS`fc=`>wTP;T5*R&x39hhsgYthud!A zymS8P1I{Zgr#w_!XIgvb)++M zq29`fT4*~_v~DJ~1@2L1#3*ofWgT=(jxLy&-qIVKS6T%whA)^5e+D*0TY33lzI?fZ zxary>XuO(q|JRj2Oo&hON0f>I*UNWOeAX`awmRm)A#f+I61e=~`y2ePd=s4cb-H8Q zvP*8%2Nvg!arLmps5A0Tt|;5jx}G6@ml%q3iQLnmzo;YZ+4N`7cd`|Pz3AN;T&)@h z&O8FQVBB+MXxyT|pm);w-n)XZA9^lTH3E?!?Dt9}Hc{^--aU@vl9hrRK- z@T;{KUBke2;|$;``Eq}E8y^>jw(PwPb$}P}jhzhqvF6#ouTkkp4v<2-Nn(wL+E?mncHZj)#pEzhJRwwN7_f(E3UITI=CP>EAs{W z#f)x;?_%bf6=ktRT4USN-NYu_Gvrx<)z%bZ}FrGVS*d`M{a`Da=@BZs8l)Bh|M z9&hzyKM?Ot=ZTrx9OIhMTHvazH*`!~>u{^1>d?6<*VFH=tVkca#|B@4y$;WUyyZ6+ zZG=DPHi3)8?o{7u%#N{K&S?%m^@o z6|cH)wwz7jC@sSuS!ug*`t$75+O+P#t?Z6rAOxbz^%A4~@5e7Nxq%vKK+W zQ?$)Y%SE{=WM69+p1N84*_N}rQD}>sgDKAK=3yVHm>_Ud{m7nf0{L(4xcOBk1%=%-hR41K6 zg7V~KCgh<=sR3OlrXTv9tyiHh+gGCY1Uffm_~Nlv$Ei!-?Pkb+dhhe#@!-*oV9$Hg zIj*n146>ZZQ=TZdZ?NYVp83Om1l2V?qaNZQ$9Z;ePqWum>HC5WSOR-iAp+;M3H5@$ zX_Wr|^nBM4AO4u?jxI7C_GaQjf9QBFhrM3khWsqpNLg;al%#g_c=W4N0{eoUDogG0 zr73PbwqstpIo*#<>CcphUvi+%>qb=Hc*d-Vzq#y%`@h&j_fIixS8J)n%%y zCVMS#-FE`^oil;%SF*+j=sSr8M#ft|hm(%%ABgzy7Ugh`i&Av&E0=aY@|3hbvjyoIcOE;%Oc*BKRcqa-`RY+cZu#z(C=)zFy8tv z_t1Sn`O^Qz%$nn&mh)|oC~h0;kY06--=nzuHne%fV$#VQi1_O=RGKh9mMR7~@TWEEh zzmAh1yB1@<#wm*LK6Rix+H&1_^s~YVR973(yv(cx=vS{NuCh9!aUrt*h3*mjYYcur zafYSqPfB0sJfXAUzh`sO{k<^xfAZ&X@iuO?eZl#`Z{Rv9Ws&6~dL+2`M)7dwTn+=j zPUnJ(qu;}v@T1Etm-pMiUMA7+AtGce@>3;7fIE$=A+MN8n&xiDeN5kL;tx*s@ZM$k z>10X2Po^{km-!FkJQDS3zp%S>Zi*c@D9+vK_gSanNaVkG-X+TFivjHrANGOnU8>Y? zdn{+2)9)3s2l7@8U%ndr)&uydABTd=&7UJJ*Bhe2%{97D^1tg~9eHGWe8T(CK26z! zd}B-KTvX?1|C){yL#z%rRLA7B*R)UT9Y7vBKV^rX<{teYft{Wg3x7^~V_bHO-cvp9 ztN1h>6H5BJWmT+~IUYFQa@~v0H62U;zt$UHFSlIGN#74|DnO4HPr-WW#~sjC{i)vT zi{~S)y=p@HR}4y@$L6rfma|x@GqN?+Z2+y(dYzbdXR+l@X&TSzN$a8# zo8Z1J>lMVfvVA1tz}?{rhhO{u_b+4-xnut$Rq) literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/6.npy b/MP_Data/pose1/0/6.npy new file mode 100644 index 0000000000000000000000000000000000000000..b1bce7e65d1febe3d33ec44301dca6116f14578b GIT binary patch literal 13424 zcmeI2_kWK`*T*N?61{i#tg_KNt88TS&gz{ZqSqiultDt2geXBoj1ojyZHb;iR$DBq zvlya9S!H#WJM%gD3!Yz}JHO29de529oH;XdX0Gd-MQu8@{<)h63t&NB{r$%H`g_&k zUOx?}SGUfSX{(t@R zWQ>`g_+6irQXI^0U8$cAxSxG14beYDCm#e*QyLy@bBkIkFaj4hzs9x~X=%2T~4;^!O?ggi>PE$SWw*MyDH_ib+%(sJ= zQGe$X{I?6@(O$kiLgOeAZCyR<`W5xEZzr^~0cWV6)wS-TeFmyG*UCI_`bKAeR1aPsr*@9o_`(<&ov6 zHZQ=8RfXB zREhe}XTU}O;j5uDxHz~N*%{n+DFl7i<0YQ;sTjmvZYVh)_E+2DnXfB?QhnY!!*O=- z0rl6aIP!x|lYN%sI{rEJce?3cKJNMF*x8QDh$Q004_|YfbzU>pai+e2s~f#3{!?-w z4y@Z7aJF&^IP1R~{>U83q*HSqxQQq<2l~sOg6oBw!EN*h_``f&fXk(4!TGws;ExU_ z&Tqd5SKbfjIvun2G3;$v3FHCxxFhUYgR|7{JqgagKRw>r^E?F+Pgd|JlqxxHCHyIR z751!!H@F>EXQ|_AOFZ_4ZQKc^xtKKFCxwf3(X`&0UZ6OSIW*nbv#Av+zmB{KZkOl8 zxU4ydXLge8S+y}j*~r!N9G7MVo_U`esAs3APjj4a z`~&*B@FT=i2ES5{ie-X}e>P_v z`eif8|Hjua57MI>t)B(Q=y^m%%)1$VYO%9dwU2_^Co{lB%PrVn+#?X2FQfb*?yQDA z%hDKJ4@_O3AI@Xl%1!e~=UN1GSi92Ts%{_BIjBiL%X9c+cJG9rmNSY&ghWmqJ1R(^uMxpslZF`yUp#U08U{8Deyi|+|P)w#47m-wqV z{4pVt;uhjf^EA8#&70h_2>mu$if8_)JkB3hG~@evDZ|oFDE_MC6RN*I4(n47{tA6{ zxhwqA$JNj~G;;iP6qWm+oJJyfhPI<=8`w;DuVlOX_hu`vfHQJ}W|AIek z=Q?oX*BV?^&w_b0p8rB$&Pjm24SGiVqF^41%b9p^etrSsEbcv}dC7H&_IvF#(BV5M z&SqbE=<{E{$(OaQ^;1=27-3NAvsBAoQ!}`BUB-IG+4C^@#jm6zA)7Y)m4} zcbdL5-a-}N4^Ny0uEzvY{O=@EJg;>m`^B^`c0CH}p-N%DAVntdjWUDDrbg zMXW3CPy1KhTtxagmmt3}--EEXx#olGxU}Hn`fPChZ~*qNs{I6cOg-5|`c3E@5&0*< zp0C>tE+4$1ejoLueOh}z={G%1{l+eby^SWW!?%KS(Fo(^L3E!nH&VyDqae5%+W|Ue z#zFG4VHN18Db2ujhCjhsv0Uia?5zW?qMm`Pi#d^(L{+*^uv~?}ZO>$yuiA9K)H`T@ zu$5O=yM3h6WTf~GXoFIWoWI1a6IS9!(x0`9bhi6tfoWH6{JUGui zn)ISuWBuFj+L8T)e&EV;2+f!N1zh_|a5lRs+5dWj_RG%|NbmJK$^!{>-U&Mx+!U^l z_^^a(q#sN7G7;4d>sFuNL;Ip`yX$V8B7HTQ-`njek5%=feY7V7&DRw==j7%{+NX&H zu`g_7M(B$>Ww1_Iz;9TeJZ>zwJeG;}S<{1vGuzM;TwQMqePeq-Urwq8uJ3NdewVKf z&vbDXPk$zV25vwp7nVa_GON_zZQ zl>ByY_{mCiBl~Uhp<~{c#yqN_!Qgfq-9u%K&)8pP2IVi-{S4XXJqdlgAdviN^^ka; z7Nozd7X0AV3y|LX&9t85X})YaiXSgf1@kCY9YuS4UB<q4DjHi1A6W7o%IlUbUtCEq|Ydb;bIBPkxk02Yq?r zDvkG#NAN?xpz}nXABTI9&J_TAUU@4@d1zA<;?U)9^ef9xqWv=KqDH@c3&PHxu1|3| zoo0};R~LT;*LNqO6!D*ETt2PPubJHd>sCy=+|TLQ*2##QsCyNko>=0s*Y=C zPH%#)94Eke(O07!7ilfxEW8=Gn0s^z`g!q;bV9~pK85@j>zR8jp>al#K0o9&(%JKA zVesG79)o^Fg-LYZ9($MKd6DkP=E95#39jE9S)juWz2_;BDp2af8F9i z;A?MEeDYCV6z2RS$JOA;#LLruF^~Sid!mUf2Chc+CmnH`^3vgW@~^-|aK6-o?i-`X zZ#i!*IE$MHdy%;;t*iTVPqZyFFY$4H28Ke%ZfS&)y)2IT;yd19Tr%%w%!{~?dftt$ z2QIGMrTKcAALoU9LhGKjED3IoeZjht4|bByqXXbFnBLRnbW8mDRrsl2Gs+Jy>HUir z*o1wdzV7?z?y)T4H2hPM|A3o|mvN6W$Lajl4@8=}iFSVc0 zePhQ+a5XV2#>KsS!1>mO;I?HOaMt?LEaxX*Kc`uT<4b4B!FJS&kC>xAvP7X&}qad7Ls6aLsGz7rj{ z8;4Q9ZTEqTu>QzDs$*{QuU;{5zH%?}gS=-``|z1XV+M8rLKUh`oE!Hd6e$qHs|nJPRC3P z#=f@Qli`mX(77VwIp+n!vvKDO>c=%b$d)bO(o!Eftp*}9o+l!!Im4~?LbsX!T z_ZteoY}%9}%@2Tp!6mafrE!?^L?-0B|w(Kje=`624REatYwZH+3B)uG7vR z>suXM?Qaf$b<1{`U$cnrVdDH>7@y3kXdVlefSy7WC(VECm05^S)0fn~UO8~vr)h|@ z*9k#rFOumyfo`*g=4Cp~qyB3k?De@WGo3waw3XVg5GZ-k8yGLkM0r?T$qX**R1Aba zt!p4YYzVyvs9`zALFc2v`K>zdgFV|YZM9E|yyf&=NR_IE`174HcwZ2Wwm^sHtdtt> z7R#WM>kmAeG4#I0-u1z}u&KAn&bKmj?91!8hqIN5;5s-TI6L$w=AAzu1a7~z2Uo+w z5r0$mIkc&j(@ zqoK2H4Dn*I;JQpvTIU;@;8`wA#JtIKl|r07_h;aud?>is{U_#2X!>5GI?#6lF@Fy7 zn;7x}{^?}8*IE5A+9yRvY$!{7NNw_eP$is?vQGob%XdFu9jU&(cQ|_)G7@%Xga_tJ zk6Rz^xNZ_dd_i_v4>M~nbezvR2`*=+2Ul6EN21?K{}2yajdAczCt_e{E zZNMDI*%!KJu&x7W{eGLUz;WdnN;<_xf~#Nh!Jc<}2yTx}CVu$kV(1+FLiP)Hfy>~} z%fO50zxLA~B zCwK+=uFA`=1(%}LddKAv%FEpUGUi`h|3^8_!YV@F26#b_H(W;fd2Io3b955*Q*k5S z6V1I2#Jki7xBaqU{m8|B;CjpeaC6+VdqRr5`A=2SZ#W%X`DUKtxKxe6#fmU+{&$03 z;JfK}SG)8MxXjux*!d{}==U6TGds0g6O4Uf?$W(q+@|lxrpDJ*PDgdBgZ8>Gy+?{H zwPT!)T-uh}_ep~|*s$iq99Q!L!C7Pa{-Apn!TD|~jRRLzE>hf%MFc_rV=fxcdCJeW zXG_elTGSNwGA-p5-FndqXRqJBA^ooFk#AMrp~#bBY)R;tLg&Hlk{DV)XS`|rTdyH+ z$wp5%IX^{b0Uh0{0IkpEUq?B8X1Wotq=`?eG8^{Sqrt_}<)nA`3%w7fP5u2?Q$M@!Bdz3@TLpoBvyevNg|w=Lg?px<}h!R;Bk2l7H2 zra<3|es2>624K80qQ!E@Wq}c}H}gtRKZAPXebbzz_Xjn97wk=g@WIaBM(l^3T2h{P zqg}qx*>;)u$7a{vvl`YL`9UqL3;)=r#gu0PPpyH@7Rno9K^)?&pHG+m3O z{vo$-LW;kvL~4FNTo?7`f&^~3p z%c$Q%auUWhk=6;zo)zuvj@0j66DXhaSF_1}%dK|KAHI|BCF<%d;yvc#Je6_Zk$;Cn z!R^>CxWCEfX~>_>J&?!r*;hlHj*KlxyiP&lbA4d1dKCp1CFuL799%KP+3UHKe{55F zuhEU~(S3Vj>hCcToCcG+v<_dmsQ~W=brVU6G`h;Y@zoQRqshx@FR5YvP_3y z&qjw!$N9(9_)MVh3_2pImgCZc@;{rAK2?8eUmwS_yhgt)WC!wtsTjG}abAYzQS>E$ zRFQcj95(}LUes{fFCsYx>sfqX8ag~^DCyN*jrVcAg!ZE--4)!t+fCn#d?;^=(W(0^ z=q%ay4S=0^T$S?G^6?7(6h27$QNzJ`w_3;p#+$zL%6ad>W!Zyx4^pZq#bxIU>?1kz z(Q2n-3*`nEOWtC?sI$K;1>c(v-0mrcePL|=d5*KKJ<+dPml^Y}GO_^2hJ57LTNwtdfMJ`9!P%bs!y-E_KIa5?MiX-0rbteB%F7u+v_ODW!38N z$8?&5b5;)Aw9avUhVq!&Mc;wUq4IQ&`xK$^-k|S%re>&i_AFy<=!?4a`>?&YzH)-& zm&bz3pgV}0ITE?Rag(Pt^}G5F^;>37oYN7H>3n55)56}4eNOu2{-yYAFHXF0Q=B7~ zZw1$%a+3a`ZMcW9$&_z($aU!ReU-afA*q{&Yq>O2`+A3!8szIms;z%sb7Kod{6ge6aIXK)3N{3dbUG4LWftY z*b?>&@=zQ?SD;@VoEQ)NI67DC8T!u0-g=G!e=~seKYW3X9Ws5O<2sQ+hn;Q=9iHWz zc3ei$J~7!glmA_dBHyZ9Nzf5>{ZaC^!_lv)Tm{dp%TVap9P{ZuxuO@@-%I`O>UjhA zSSC-BeQsK}X6*J@*RO4`5?mkamYUy|Z+2Y8{z!fXY==Lh#;>@KiE7VCKSS#GkUgtl zZ)9WG%dbHcXI^x>(=mr=9_9V?_wn5OU#w3ZP5Dp_Z2>)gzaidJ%mG>tGMv7sF{Z3&M&eJ_Pat(A%m3^=m^}QFl{zVkc3%hy%dc4lU zap28s(Q|dWm&y6(uzu7{`aN2W41oW7P3D=--k$iG^fRXgm+zXca$M%7eZ;>WLOkV| zN7$#L+eFyQW%U0N^2`pbfBjQO(kU2DewJxF-|4VhKY{D_^nS@o#}U8U2!86NyAfxz zf4~N3uahXRst5GmFMk|_^h~9a+;i+<%1gSd7r08wjC+^i_sIV_^gWd|ZG$| zc)4dlf{WYtePA!U(D`Yimd$kBB&41TzyC^lf8@crAa<|7v)VX}@^J8M>?6^O_KD1} zm)5gi81gw|nPG1Nn$UbTzB0(gjprp@+l9U>s-z=$UsLnF$$l;Uj>KNIqj>sJz7Q48 zA}^^w>xMW#dH*u7=fMqVofHYcy;pgb!hD(heNoT0d14>gUFAuC(Hhi?@j3mSj*h4S zF2Z($>!#@fz%BVBW?dq_e(nUv)gZb*+w-4Er|0xBj+<$u!{UFWb$BLgV;|?|!*5wi&4zuU#_k9O4{eBk z^|^V}&mSA`zQg|f25z@fzGt};vF~I~dcWdt-$UQlFNXVoE=h4?PbVTiCSo(j#oLmf z_WeZoX)iy-BIv+ZZ33uNiYgz`N5vVmoQw$t-tq&rzqhkd9qO?V9;dgZ;{X zi2Kt0$c{XYb;#%C0_VfO(RlB#t?T@>0X@im*CIN1eA5g8&$$U)O#PnhYx?6H=TB4f z*cE?pF|<;I>sRhffW4WSdOz-^zlHz+O-EB)wddaE{31^gd$07KZ;SPX_EGR%S5lX;B(AeL3tG(thB%Q}gKDZI~~1 zkn)>soP*khjfiyiDwT_O&B2wPI0-t%ek8l5^u8#1?u>F=FQ)f)cC#_+t=hTBanT?( zkNq8h@!CPYvwc!Hm-%2Py;o5j{{1`9ag#qkxc1u*&R6@lcU(%^r+RTw(mC7->)*cl d4)Z9+{7vg;@vfE5{(pb}i@^UP@c$$N{{=Z!Nm>8^ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/7.npy b/MP_Data/pose1/0/7.npy new file mode 100644 index 0000000000000000000000000000000000000000..c2fd241abf0b350ed6a7ca481f7a3ee177b2258c GIT binary patch literal 13424 zcmeI2_kYjV`~MFyYL`+$)rq%F?VzD@>={W)?020YMyQbxn-gLsRwZ_D?7c&!Ejc1p z#3->foY*ys)@Y1R&g05o@cr?7d;8_w&i!2HajtWn>x}0sVmk%-1@y?lBG`n={X@e0 zg;n<9m75G`RJjJPJYaa(sIcH+eTIki4{^M8@X+v(EFL~6ctl86y-J-14eHjYT7ysG z|F8e@GsesVp5dESvaKbpE9E~ycapM7d;0w|SGOI#(Qd~ir@Oi+dia)W=SAM3ovodK zb{>8X?JStu#okP`t7l2n|G|B<^DPGbRXgf$3zx^ZHvK5+j|#c%^yM4s&uV;g(~WCN zTtK@%A<-`SQoF2G`G#wkbKaocTrU8k>? z7rc)$e8Z2fU3a4So76%V9hWc5{OL*&KOFw4`Y$NH6XL=3Jb&_M?4#w*&Rm~%+m(Dx zP4u^C=e=-sW@9cSIlkxo8CTbbA3s4E`4`%ClVirU%feSLI4&-%LCLn}e(mZ!VZuGv z&a3R)?ds-e9tHP;iuC9Z6pj1_sym58eY}lW!oky4X5%v4c&|fdR zf&Q$;rn9bH=u+2QyGg%+@ogPN{U4rq?ArCc&IbL*`aN}}`son*+sQdGzOEH_)p7C7 zO^V;wPssm59Ui#;rf{7j==bp69oQ8u`O1~7)w+1sZlnJQcXhLYWBu8&`DnMDi)qL8 z*nvY_DH3mE{e(~553p}sY^^JK^N*ce$-e&<`KRq~)V^i+A;)d)>aEc(*57lbXml~B zaQqeXlD(E-g4Y7K35p+N%54| zmE+Maa?D2_s_Q39L!b3Vf732!E~l^8|K}I<%kS$2o%*9-FB;cFyLnJy3HXfzU${~= ze-D4;iiQ|hk6F1eDT|BS717VWElT~L&C-smYyZHWRT&JfLu>v3`!_dfUd8iMdq?jT zj@zGVQ2#jw+!l>n1ABium(-Q6)Gxd(^kt)GsLP8h5qHx!?*eBpOZ%bDnto3F_1kHV z^ICUd&##oH^C775Ea-Q8LgQ6v_lIwmotTt62KEtmXuM!^#c?xRj&+=QXM*dR!H5H& z{s-nIE4(E8SVimdrr~^NFCN|pXZz=ZoA=SPq2K-?xE#ELxGgc$aeIpVkwedt{>p#g zr_3a7BHn__8Xuyay?lEQI_mEVI0y8S|H7V+OC^6E27{}$YBa`O@;Tzn{%B0)mdh(K z?)VF&Q>h8KywY)r@l%1O4pEhp<<*CewW~IQv}qDS5hYmJVzA6n@*GG+%u% z1?ytsBcab9T*Nwssb`?qlnxX2X?Zqw4B!!!O1&U&o@*A*+nAJcay#i9I1;(I5~Kzu&F zCHwWC(msA!68qN_dqaHCQIx88y|vDsb&W;5WI_Vsq4vL}{d>47>_oeNXg$-)(SF(Q zPyK)NApO^YOP!AVt2wysaEba&UA7qdjbA}ug`A=GF7=_W$38_}zx)oRDK?YNt1lVG zv*}*&hsCEOZtBR_lt1O$f}6Kq#H%bOyK9wjf3a?-8oF`K?Qx`g|4+2b)M(@<@AwY- z@@WwK;%((*Uv^lpVh8QaWL0n-MF^s zT5$1i2im_23SxbA?tf|AUP;hl0avhICb1a#x%)?O9ykyCMfpE~f7b6D#@Ag(LdTw? zIO~Gdp>L*cLmcF|htOw%ffSFYE#Qy*#S#xlfet_W2=?~97x7`g<6PwtDLBW}tM(XI z9(zmi%##CtisehmeoYf_m9h!>sS8$ty{XiX;(Wg_bgbWK)On(%{g=Ka#KlLIr2ONr z`(nOw;WLU`)ftF`y*2^d^dAE*f;&@u`Yi<4as{39`4za%XpT6r7ni{8mvo=W3Ws5D z3zVUF?yErd1Ais{C=B+C+TJT*Z<6F3 zH!od__OCu4M>^HhagND~^nPG+0XQGq2i$I(N&3SE-gfzS6 z+5fhW{1mUCW0(GlbAZPkB>VHJq(5vu*%wO$=cRU${kH-7}e zo|QjDI;DJ|BNAH^A9tSYCsm|z&olxTiI2f`g@V{$tl%eP->nq!A*-=2YDo&^&6AaA zm$9|hx_Pq;xe;G=#*gCcw|0?>gGly92TR;Xrh5R+F@3Zz;=!9&K|ERM%iw0%BJ3Ai zW;OPy7I~m+N>oLju*Qp#pK?_=xc1DCeP%oK!F+kC-sI2B0NTF|ZbM(rruDK%wqU=j zZ%5O;U#1hCtH(7;QD_MC)g1=^)wM2&hw%?be(IBDNZ)HR`Fos)x%D!>+sVF2B%KEt zDbQETy1`yFngbo%bp^$9P$ak+pF!JgLHB> zCH*7y$^RF$kL~&G*pIR^y-!$!+|XAiJ0XAMt|aQO4^#PUd6d(a;WRH36b7zZU7qT= z^`!m9<{Y8;-nd~ID7r54*cYHIK^XoW5knJrFT1f{x#*>y-TZ{ zy&C>C^{*L#(sqwTezM!=uzqG@MVjAgyUI7q-uQHco$2u<{M55QDyPGren~n_azbB> zOQ8Ky;V$`+>mK>FF9~_bTT}kX(zFk3)!&yp9TxT{jXQHR=_EE?-V27la=#(UTld8?b040SrnWFT(JI~H7R@S5Ye>>omTzi1tF zL|_MS>oK0}FVnfrpLClH`vQ+(&ueC)UBt#kIBwt1M_hPN{X4F1+I0#~a^pt4fG#`H z9`j;d-r<~K8*+m4l=;-Ypa$~C4(bVA{&FbIcmJCn(5ZbEb+Ne*l@Hd6Z5e=M_qhcAVe1j5y2q_lPGOJu=d9>rLM&ywPZ^r}ffNPG8+x2z~7lNAY<&oxZzU z#lU})N%Q6Z+((|UDL09ycg6TDA#|M65e*BFPQCWvvhdd<9JkRsX}uQF`s-Fn6CBsA zuR=#>?uNg{|HdTPZygV=8jl2Lm7~bdsbz>K^r88^>x}(wM<-Am%8VkueKO^Fn-Szk z`&Fc0@9j*dZ*o?pylOg^@?@6hBHt{|6Q;vndo)GK(!;S{x&(bM^YPoTF6L4$dJpGl zg87=#8N`p?$Gv9Qc;XAogUda6@$S_ryTR?bqd9qj*6@k4NS#q({ zQN0S1eYsDd$N$q}l(RQ=mV@iU#}IFpF9G+LzL|YLwv*7;qstC(_Btw@)+Htk+}8iP zhtn6a3UL-+4a9tP_x0Gn{5HMo_@?Z4NN{~RpWD*;Z%3tIU$E3mbe|TWce}iDhj{w; z^u4g;d-A_XVa&^%9EW?&v~LD3OLZc?VjJSgTGj;@8|b^t1;=jr(90`O|>%*Yp`m@53AP zjulCl&`*DM75AoXR0Z~WAbq#$=3Q}Ku_3g+_BMU@nR@)kn4f;NeL3v=pMs7|8b$MFxscC% z??-S}j@|<*_m?<7&uQz1y|nmu4Zv5G~bxt zDDO}BV&3fc^~fuAd>qa5>UxSt>->~gJ6pouWSl1ZD|N7rEHB;Dyl)B2OK$OpKRT@i z&36f%uVV2=oDZT&ICN}{&J=&oO8A|De^QG4zqgL&dweXo-I4@*y(s&AJG}z(%H)`W zeJy9-AwL%$Z{+LZ+2~JN?+-sCAH?f)oU3NnZ*=a(e?h#*vDwaE752oqvJeNCX)h`N zM-8U<&!oRQuod~>zgoH&oQ2Xmou7Y8@3h+e!0m~$@Q0UtjNhqbHClIZ>onT=ymNQ>V~@^ zi~eSCUvME#&vaa``~r3UTQKR|nuqn`N4KJ`-}(?gSf29aU%EHNo;<|UUyXMU~GR&3{XPOTX-OZ$1E=1qXt28%23O;34rQ z^!F*|`|T>k=c)y_Gupsj^;(1T#Q4*9oVrK9|JiAu4RH42P!Q}zGy1-;6VBqC)Z6Hs zVb9iJ9c-?H%GsMOEl}6b4%509jhXJa-Si%H+h-cB=LK)PA7u9LHF_4U1Kax;=a>n7 zPV?LmLi*Q6$NM_{`&Gd8!A4XLY>WF*mTiOmqZ+(H9`Uw5dz`)Wq3=)j%?HxS^I)#y zDquDG^YnsPNBeu)4~~oHC&0~Y4{%fB^diUg(0_=BW`CE>>9xvnyPSSkVx{PJQ9EKc z_O(ep1bfkK5aufqug`b(a?otjDKi3`7bpsQ7W#mAIR!53hQz`C!v}EYOW&_zdiYZK zv#S`*w@5Mg$)=26SUY)YDEaRjTi`f;Z?s|lAG7+I%I!f8n~)e4d<#1Yf1W3=8=At6+N6i zn>!JlkGKiWH@u5-e#!vKdtKmD(hE+eeesz5vGOS9rQ#}MKeDyopg;3#Nb7PqZl%)^ zll;-&4$47sFa_{E#fpsw7yIe^QqLPf=jwI(JCfaS9`<5?%ZbiUHLy7Jt)SmyS(9>D zUt?R5erO-EKl;}SXRkZG2IsA};=E-yUru-asDYKCqxPqP>zj9D9XG=$z9Qu+&Mooj zoUM+tMFKkdVkyi^e6R4%F}r$#vrDVN&E(cNhn3eVa5-ri#?h7H@SZd?&w!gTjluaF zx!>uF(?Q@WvKr~-io(6GPSztXTceaZH{MaE%1G4p#P!gT&u7nYI(l<2aQ=|qfy^^? z3iRhTf*qST81pqc8gWzRd(uy)_rLZzHYUmG`0M}|2?xkN;Z;AU!vlUH`vSGWg-^|1 z7}s8*ar<_>>gqCR5Y7h`>r3<8wixG(@(x|=+D)ZY(z&yp;v9E4(s4DnBh4r7F^#)u zJnZdpKX9>QEV$ftZwu@_DnUp0?}c_A_Z9A6bFl@u7!(Swy{=%tunFC0+*K37<@m7R zq^xnpx7p`=vJdr(>4*69sRK}#aqCF`&yiEzxY~n$cjJwAlFqlYhda(5Wbcc9OTq1D zQztoYi+3lT#RaJheMa|A2(7PN8x4E5(4(XCNBWc_yO*j4+3-+eX7sL~uke_$EMLB!5kj@`nB>VS@`$b?c z7Sns%l%?+u`=%Y;UolOg!(MCX$e#~ZhyUX!o_xbraJ_m|XUEyzZ^=G`ey24jRWHZ& z`ySw`#wGG6dT&n0O}$yfx90{|o&5UxW^q-Y_BCt0i_VkgTMs%egWAGgo?A`h&Kohp zalM1q#XObQ7K`NM96(m1U*V1LOnU8&xX@`aVWGAJp_o)x2WTWltOWrqyf zk8>knZ$8rRsnX*w+INZB`{nsi_-Sq)j&|ePqO^b6#aF~9><@MN{E!#Tv-S(@BOVg5 z#@X|ApM#rU-(bJkCfD&@EXL*qm+|GXFL-b?^!16}=!*-}H#>VB^ELS&L%*vS|BSVcn?lv0BatWt(F#uG~rQ5dLl;bmXV!@t%}DDL-}YNfd|O zHRxSkFBSbo?fi6J&3d;1{`Az~e0XqZJqvJO^QE6d$KG#8<F!sNKkD`~ievg1_|FeNM1JxofzZ*lJ;3ewB3MTqKe*5KL_1|Y!iK_O7EG-2QyGXheyzNkm~%3bVkvB9`Cn zi#n@I`Oa?^!n&9{6=BcXRH1vMQMJ+Vb1uEd)PE?itnao7PRBf;^UXvQr2M&j4f{@A z$bNs8olE0-Z6D_BMR-mccc(W>v+MDC$Mvzo7}r#Ljr`R1%uqM3oJ(<2@5fP|Y=4P! zz_cbm^&a~DPbYQ3ds1Je{VwK&;5?8U_v8I0&*X(Z_t^{`RqI+Or?31eKK$z6EOVXsfocaLq-1MdeNG7MaV`9g<9&z<4?m$kF^QAN6^#Gd3B$4#5;{o8CQ`mwa} zk&deuf1_>={ftsoPLBi6TNHJki&1_St5M%^>q+kx`7!(V$(u8WBxP}yybboElo$Nr zRWfP6Yg$)xHH_l6?EDW-NBh(NmlUPwea`b9!FQh;NAE8A?^)6d58-9i)Q~#p*(Qdy_#Cy#8(swuSLVu@K9jb>r|HWN8=Xp1V zemqaoLdR7?c0TVd39h^N&2XGm8ASekL%)Za)aa#->j1i+gqVW-VNt8`4zZstA%9-f z1GhytP4&&P7mF{G?hlp0<&+cf)8x+szeQ64ZWaX5ckyi6FQWWpaP1q7bJ7&|q{^CyqSHb?t4fw-j=GCCx+u|F+ zSwJ-GnfRI3vBUS|e_l!F+w&;on@XlQtD3ZbO~|Lyoeu9#-_`c?3+z+bt74?%@{=6! zpZUCjj_!QL}UDKd@dZPXO7yE`m~bShv{Ot0J_2c~M$Vduzu;@G^AX>eqE)FB9!@$4#;q z>b4>M{-FyWkHxri>AOZS`g^X9*fGmD%U<}>dxmX{M;y$KsBwsifo)q_93GUkd_wRoZ_+JG6|Bt}`0oylO^Z)<= literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/8.npy b/MP_Data/pose1/0/8.npy new file mode 100644 index 0000000000000000000000000000000000000000..9806ca5aa650a83abfade73b8cd763d02fc5a3ac GIT binary patch literal 13424 zcmeI2_g|Mc*T-Y^R0X_?4;vLcCU{`rfKkCihFacw;K-1nSv({PcwK|`~ z|F3^}7-Ob!xd+}^rL(k{V@uIu$)l94l5PF>4eIUdQG1c2cWqtY|BzH{K6M8@pPmVQUiu9AzakAfdS-H})i+@-|J)DWhJLT_ z;D^lj^15x;6XOEpPsxD3Gb|ij9BGBRy!Bf$><{#KXiIV5 zi=OwG`=_nTQ=P8a=gqOS3#eat_R5yL%v-cOpL_1J?efl`t7va_2c^#TGi8b`}V zc-{=ybQbM}hTpX9;(T%PKThF!)@1Wb+b;ZerPy|z-1D_9dF&B-{_7d^uU5Uef#+ii zT(_n2dIkSYdc&tFw(hgjSgr$JJhCNU^Zf_d)oi@fwu=v~$Jjb6B-&-T{tb3Lzik7%;1_t_q+I$& zWZBDZQ_}EU@yaDpmTye!u2G@vw%wHafV%1!;bz;-@gJ~mSj8UHey1kpU3NHA(6)=o z1!?_>m1x)RQ)wNx_b6@KS;BVoulIdLJBzA(#B#N0Qh8hI$OEt!yjBj8RX5weS#7yt zv1M(^OMW4LPI$v_b8f)G6w4P^#&hgOag=K9RBgFx_&4m02m^@4wPzOi;@9A!MVmX`S^YWt5~3|8ObtLpRz9IdDGo(}E z1lhkQZkoOWm-!yehJ78_5k_NxB{=M>}Lp_#QZW1Ujn$lgcKV*X()4j8}o~4mTd7f*CvvJRcILqW(;HJcVihqG0 zXF_Ll3hHw9RpK#Y;3t1l7M_!~I z;>`1qKVm`|aGCE4`gKz2c~iOsI6ISLp4AagyFpit?gZ{^xfKKbxOmis_ieO0{j*QC zTzdWm)>aCY+t0e?f1}MSZC~1AL1he z#-QJ+vuM1pZebo|<`!B%;uz{?lqcq$$90Lb_M*vAvU?T{ZW7(F4%w(MaIwEHIP3Z) z7W#Wyf%BOW;G#_t>|ZA>hIC?=l6{>Z=!gjez*WpTa9N^1{1Ivo`B^d>;=rpvm|^wJ zmrSysOzVqJ&Wrsk%Y6c8OHWh#_38=Mp8c^H@zTHTM?Cb}v$TKnd%#X~{ulkIPp`2~ z#Jg_b=5cPy6B|k+e>>A#6Tf|%%8-D?(BJkC%}2Q_;HqyV=3VZleWX7PCVT$~Rp9lubb~9-u^l`EB74!iC$OGKfl$7 z@_c(&oG<+ZeRU-Sap0$3(mZ|F9piOs_Ju#J3*EEKonz2(Cg)vb`*qe$fadoLieqJ0#{f^ue1^xTuQCAlpqF=MN z`4G!h$Z?F9tq-8_u31g{qSP#K(Q_KO+ENtU^!5XH+AaZS)#{^P{=;-|{iZGAz$dQ< zXLIwC{o2E@=a2m&ZNKcWJK6gl2RE0~khjhCBH-ficCydQFz;;S25|l_ou^_-rIl7k zRFmK=Z#?Yf`dEtFRocH!k7eL`TfRBgUhg_Y_S+Uwzvq5Mely3S!DXc(l*fkOo?`8l zP9~m7=Lr9O6m-PLJ>YuOTj;Q73uzxUI7s#~WFn@ZxFRkZ@NUTqx8$gFu-w7Qjkj`JVs5bG~{iOd> zTRMLm?FDxd$B|C8lGrcuZy#_udlcOK)?OSgdYDMN|ZECGAvcaPTj=$h0|+J3BO z*|Q2bdpQDJ&r8C1&B3~;n*rZIN2eCUx|JjMVqdV_9dNHU>8t5H3iqM&=AEQ{l+6$G z$P#W)e#^HQ`-KH0()r?wr%tYlbz&xY()wII2K}n5ZrEo!Y9*Z`=lX&>yc5Mcq&@Pv z4rmB2*8NKN^p@RepAPb+ehVj2S>sEjU5Bzeo$ESxKa5-COPd6KstoCzodJ8tzjCnU z?57rnqZ4)*-ac9i<$mgQE*T>5~1dDtXc&$TzM zLBGR)AiEPS;ExG)3qZeZcTvArr=oOnREq~M-39$A)e7rY{^1>Hb=3RUv|eMDgNse! zb1Y|JL0I?dMj~{0`c81Ccm%D7H|Mb5SXsAZzaos!V?FUJU=m zw4%N2IE4E)=xX0q;Lf@krv>jjQ+#tP|DwF}MyM0Iq_2PDshJXBF~8M?ax_#=rLrvRtj-NpWk@ z9`oW%j|;P0%%{A{;`f1@Y40hY?41IA{$v6;Up_6u+VdS8T;28umyyk}e_4?Os*x~zs0c)q!WCQ@}#VZbt0NAgkLOh+9K~PebYV~I-*n?l=?#z#7A|a_kD9? z2j)dRI!WhjMQ@B({g@7}i!Y;d?e0X1Lyf9rUxwC|e!2tPJU&W1U^?aJ3H08r``?70 z$_#~{+N&`9;O{qMUpU)i{H&k6$^~#!`6IZj@{_NPkK;$@uPHQ?=DkzF35Z+WVi+fP zF9v%({`F$3qr3``pRe;nPv!F;W9?1fmBcHar+81^h4V|F+XgNU52E$9{N6BYFN!PJ znXRGVeBkcB&`*p(ocXvwjF%OwJlAqvDvI=5ZpQj&t*_C2=>^^2RJ|kM&Y{V;SLoFg zPZQ%1zu6V}R%DEZPS(Aj;_%oP^P;o0CO)ns#ZAwP#JG;vA^%&_J;${97X7k{Rmk4U zbuS7jK=-Awv`@|YHRxAe?*e~Jon08O^DBL4;2#U3Uv*~`=1-oE!FZi5w7+;`y4R_D zw0>owiFDuS(u4fDcAM5`wx%K0Pkr-8aQ^2*aOe6QaI?UZ_@=e+N5sFU^*^gT>~x*p z;CgoG0IS1&7L&dYL<);$8}BfG#acJdJNs@N9;ZvG4) zovy!-ebPCsd;Pp6jU(C@>q@qC<)1!D;Hp;u-ETj&rF|E71>DT@r}a~Z&S~aXoc6`t zVB8Z-R2%s3?4kUs#!W+hkk2PVho9*Qf7IE%m|r=C-oH$)L~xzCf%aqB6XfT_6wEKH z>Nf*%_&(NDSg5 zSDpoDr^_O*s$qG-#r`~qhwL2+|J9zU6rW!7yM*o(G}-#20|V$>NKZxo;(lV3jSrvj z7uk38AU^t9gta$bQ=qT9jsQ1(eP%)@vpm^_xcJR#k(P^|+rfGFmMB&KzpxISu9S!Q z&HVJ-k9)$by$o-F_^_*Y(2vec$9>YgJB9OGWzhE?y}Cq#cb2^~p1up2WnPFs-{_Bh zCu-CCqcX1dq%|{^T775!dFU(u{IJ(){+Jgr>@M|Nv_80e@POWP=Ns0{SplSyHlP~eKvsekZZ^f=4d;r`<%kO@hM(2ti7C&16&=LL-X117Uqjp zuLD1rC(VPo;zs$+<2|^{=}&rrc~*L7>4^PwuCv6!1?I>-U<6hM!&;4(mnHU zxAuBO2<%iscADSUO>vLarxS=@D+JEAOj=;=`Q-DY8<-2++zDP}xoY%@?A?B)ag6$V zmF3PFilcn;2e^~!j&&<48rYi&zhJyYymb{O+IV0+Wn{XPhDe!O|^ou1zN1wWZbs>9-&OxdvFz&e@aT0pR)e{kbT@Q;9{9i56d0bI#DO1i0=zP zUKOuf!(K+x?+BvqwV$m$YcU0!zkWdaXRkz9KgGXo!1d9h^j!Ep>c}?q-l8LOz+R-E^|zcQhCx>~&yJG4S%|#KhK)ttN&W-& z#&;R~R~f~iZyKh8s~oRrey7v8G#>))1Z77aV7{58+j$-Gt=O7-2F8`W8tJ%Q1m`_R zV*QAwZNX*D%g9^8uUZoP?A{zYLKnxl3_peQj!o(ZZYr*$@ot_o6Z*+(zE@ojX_=SUQgpljEqFT z>jr>}zcje>e>xW*bi^M?~FAMmBxakdnuve|Cpyb{!LQ}Hr#ni2&vvmi>XL7QH zpW6p! z_KWD&i^kQNzSBC{PsP8?v*(N2Sbt=H`n}RAI+yfo z?+F19bi?!FB-yJ?-LYRp8QMQ`6W!Bf{|^4vUMEsMk#!3rzc~e$!rtjnn*6_?4t-g4 zWQ4UBZ|Qrns&s_>Ib9I;ynP|^yC1DLZCc^{VvC!Bvre?$WU)oHt&YiTNA}GUp(Ade z@r8akKYzCd{vRj_&a=J6e$m(K(tB}g9&pw72im8pp*T;SfBK_eGdM5i z-IT~1YIWpJ*LX5p(f(~RW|Hlfofrvw`8k62W7L)*maEp3huMb5H|+CT@u9X74oids#66`N3TG0Oy@u=T5=Z(ANjE zfs4@<5q~v(C-R}v+bC}DzX#{%J&?y_3%VDX26sunM+)+-iJ^5a2hRmp<5z~m|ABN~ z>IwAyLr3L|OvxISP`>EbIhqK4XU>p~u>aZw-1uHc9C%`U0{F9P6o-x8D4lEhaITp* zw2xH#pGoIo4*~nIa?s(gmLblp@7leV^YQe55&8%E&L`)8#lB!U{h`ZGG8*^gIm4{I zJdzVSY#V)FV!?AYc+C;8lh?MQU%}4Cq*!~uH^g1*g};cPez(;HSMNvAyicox`y{(b z>rkZ8cUS&E&^@+HD(S=&z`E5z8S8An&fN9jY-WFOw(avK%lUjdN1cWAy-J-*++n%N z^?~}Wo>4`W^Zx-4mU(rg16O zpO(R}cjD-~E3c3**gmJm)BTV?JxuWr8%+0yw-;eAZfykTJs9oZ<{QBE0@ruJ;4urW zj`nw*JNgj()m`V0gT99#{~J-B7<8N@#~Tt9kU@obTNXKjm^~p6yo_qVtQT%>_4$(=m^HG@X}b6MZL;=^b%z zciz(bg*dPi>)FIR>*0Sn%JZT`2Cef!=MZPLd^+NwE*t?DGpf_~w`kgrqRbxB8L<%W z9qiCe*t49Mz;)wdc<Gxn(}be z6~tdX4uzcz`wd)_tO7qp-+aWMwa0wPk(~prKhAZ!cZngc^ZJ(zymzo>bpFbxp75XD zy-o4V*^vD3bN#{5N$@glqMoCv!-#&Xf4DLC7m3eF>D<37n#T=%N#ABn%-9&GLT3DQwf^$`b^ z6xPX(S6uTW{f8^aFaH+5SnkZH-#g_q`aN2CUmR_@^r!tO^3Nvw*O_B1*O9BCa z3nKpfvKRK9^R5kab>Ri*SM{rf`=Rl3L!Ga0MEv5twb0pDko;)!iPm$TM}f9q-G$ye z*oSb+dme7c18gbXds$`r{-|L-Im`19AGeX>yuW^TtIu9h zd_=xa@JHNjiStf;o&|fgw-rjBH-D)0Q?;Xei*RcJ9l5)P>l}OnJN>0GN+ZVNdz~ps z`~+;=}k$?%^S)aJdnOmI{Q0}OtJnq zaOH=umEe!l?Jo8a>qqmdLPNpDf7T;!h;_e1Uni`@c-iPgy!V-^?x^c~SJ5s;d*c2e zG9FPqiT*D_eN%1~{6AZSo?lJ#>9lyc&2pW50`{hC0krdcOK{&4(&8gm2=Z!0Weyl=y^1xHv8`TCH58ExkMbI6bM`i`5@!q4~t$1dB zdS*Swt%U literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/0/9.npy b/MP_Data/pose1/0/9.npy new file mode 100644 index 0000000000000000000000000000000000000000..88d952368d838ff7f2f0a93e1ad78ef2e1fad597 GIT binary patch literal 13424 zcmeHt_n%M4|NZElSQ4Ew4&!>|2#l+~ ze_-5HdVz7TGRMu!7>s*a9$?%X7SHD|bKH(A0K4}2VUEwi2?rr)H3{lzXhkaPyK$N2BkbElVR%l?IYr)r@weQ#+RXT=S%vO7eY+&> zeb=fQ7k0UEbDQ>c`N9{07t8(7wSM5r^KRU`^PKwi1^`#Z6#I*+u5~=S_p>{$6%`uc zdD(wjoa^h*8-Kdz^}G#dz?&KS#I>qkEXGBK*ZbVKU2yq=!^PT6c;22*_8R<3z3#bj zujKqKuCE6zgk4$T$P3q3ck>)^Q@ z&C`o~zKM6*jax7JiW^sLLt)=rI||S1Y|)S1xHqcb0XMGC)PCw(`_s>O-k%eB*o~VX zg7LinqT(etZuUKf|7v>W`)*vE%wX|chevl^D{}|7lU6ZPfyp{5@}*xD;flTM1SGRHLmr$6mR5OC4R;FvjcwP`2HXEJ6zX1Q_HpD z=lgixsIy6x>*wx#8{=u;=5(!JyfoKcn#{@ExVN_h`nK_vG;ZAF&W3g4)osS{omr4~ z+qqX}=uAuvzU&f(alNoC)}eg0Ixog+t%H59;wOyD&uSqqdVNSiH*V9d1>cV>mE76a z%{$C-xJVfdR!Um$G=41Mr=gf#k%a&FWDS@ zy*eLSHF|8M)3N6tQFm84)Ca%+l8M06y#Ve#ZFM6gfhT8-ne1@2ihSATAl8>0aB-N! z&AX4_`*nLD4rbTZnGVu~9C*U&c)oBiweI5gsZRP`4y$enPUjHfiVmo#GR1+Mo z?*B`C^9A6x?`8Pu#S`~tejq>k{7=xiKtIj9qF4`pp)%l$TW6pnu5|`({>wke@x^%N zNtCULxau#LEOEH~@f!I4B;s~j{`t^9ydV3*?h0kQuhQs{1il`)0(I1!zJxf-+ug@H zz8_x>xLD-__o9wtUUvE+@|KWqtwJ39r=K%V``d8*V##sPsW0fyu5Hxm89p5TWDA16 zS1~p6=#@B&IO{hnf&0}ZaM8K~;vh?J=kw390k>(6O@~e}*NJEn3S3U#J=NhN&?E2J z4Ls*pt2oBtrtLZC%e~JKPnqKUNa!?>;K|6lcuoaQ1YgvTM7(tRmbAa_Kx9aQjy)2O zb!NM9zB;ny5a{oi41N9JCg$yhRe+y1`WX5)yb{+#`Jr}mS7D(7;?_cAU)y!=N85D(L^5A2HTCBUg}8k5`nr+hi%N#N zuijx?RLRV^O-M>V^0lX5aVu9P@i=F5;kjyY7q%G0ue{X5fHf4=yd_=tnR<$#Qs zm+kNibyEz7j=Y+eb+vpm;$L+q{$qN~OP}2a+{$ji)sTYRUn6gEo!?Eo2TlsX`7S0E z2QG*9#&de+Ak0^!FHfCyDX8;HW$wET7W=|WUjM3_r)oYQ=aCHLd83kaWjvB(Lp?Ny z@ACY5vyA&)W?~#Fr=z_jrLj)@Qomw-+6u#gtAJeG?@^oSe$|viiu{oE&^Nb6Lf4*r zM1O9?@LsW}3j7e;a?!6#nYsS&GGFE@8>Dj{M6-=aeY*;j#gCj zq8;CVoS2uREoi@TIQQM(7m+{ls0i$;E}_vO34EQoF?fCp&QJT5MmrsG=}X|=rnI#4 z*KE!==@a;&!k(fPNxJi1v~n2uB5)^Kn`h4=r(^zj%ylz_`^Zb4ewnkI@Zv-MiCXYS zpRU@&@zqw=C9!NA#?|CJOC2t6)}h@ewXkmWfnHsmjyLrl;%1I41}Ya=iF!Zkfeshf=OKUER=Ml?`o~EFVqBZ) z4RzD-T=r|8!v0bLseyYP=cAPagHX@Kw#0L^(jd;aP9N=bM9wSdd!xFe^;75KeoS8( zc17h;z*X_!@!(&~0bMcd2J6+3n^^zq!(jOBUu=PV`TcKogP-pTg70r!4FCP*^IC)? zn6)3)(%!_{z}3-pn6Fkhnb%J#fy=^yqrp$b_bKx{9Qjmb%8hgS-uH9q&%`L|Uwb^j z@x7vR;J-;a6n6ACb+ArUx(AGBOgrG-u^hvlj^Bvqte2AacQ5i~Ux%CCyD%?#qaOS+ zDHcV5f0A`owc8KeYq@5m!_~O4wA&<{{2Kp6I$V7JC2;kw8}ZQN*hi+&ukb@2jv$^T zIpXO@&~Mvp4RD#?@cuU9E7sHKsqo7l89FD#*-bwUI)3%qXhoX0h>sfZAL8Q;+KIf# zs+(}$nUPhA|NaQL-{J<&HBo@~OuLuw-zwu1tSkGB`^vk26ns%)7V5KYd=ENub}aoo z8G`jAN@wD{%51~F@P}Nl?ff)7P5`%$-U0V+wQc3%W6$z@l+oRp_o6w5Ib3#3k9n$X zUx2TN+?wlj{K22Wu4r?1=cJxkQ=h571&Nu~hbKbdy#?ZEo?L+fLI$tJwNsc|Q`uYZ4z^VI7( z5`25*A@|FO{xh6i6F304{F2{WOye=kOK45tVt6ymSB}^^9{i2L#Aoe-j(zh6_XPPz zG2p5d-}gm}&uI5;PT+dv8rppp27Uc{57*~~-qcC)8T|2o?SuUJpQd5Hs^Y(}>(`wI z9WybI@m#u)^WEK&{w%qJ=e&?CP-a9)jbaGlo~O1sB1Uevi}xo!(z8wLNzeolMM3NycXwxKS0x9$Vi7n*RrjSpdd(@&<~ zbNW($X*}j@vLv40!L`8`8Gb#8^KGv=#IdgzNaNx}D)j6vVt<2}mvM;NTDk)07A+xRTB;jM_X_F4aQ zxseN;z8b@QZSn^&U#Z(6FW&FB$iGn$xc%WQ?&0D!_o?@HKHz@9Ipkdx;y(9ZwgRq3 zbVHo=$mh`UH-`{^lrI|d+8zsBU207IKL(m$ zI;rLk0dA^qVIC%YL>}$0+^2TUZ(LV{^CJGDY)bHCmMO&d{>l5piSqD6rppRFxsmrk zyXFP`JJW~$)L9XQIRE_>a6d~mwz)sU`KT7w=Kk6GmiLQu<+p(^`JLU&PQ(0uUSyiX z<+Wva-piXExHsheOo#jG6mWAoBl+>K=Q>>1dJSApS`UA`Ha|r>++=7-Jo8_`O|Cz= zuQyuYa^zslSG-6z1N@6qfU7iof0C67f^W9*9%DkLGCuvy9Pl3r%uCliNSzf67dTwK z&jQ@5kehzCn!3#4B6kDo#~nu(frjrKpqgQD^YIfBOM9^HVf)d~X4N2QlZT5}y?o?r>c&@w@!$1;B0W zgfNGz^bzzY6Ynkh`#R%7oZTGt=}%MoC9{pjzR<_MCqIneV|DK|*pK475a{Zd>WIII z_Levu`!eyIE5Y{_J3eg>hpXX&&@ogY<{3o|rhrhWs8-9jXXI$=G zN8J)n%zB55DSYoWw}ZIeO63>`{qP^De|96++sbAW9bavZCVqbf;}Q4*_eoLwH1R|H z{YzZxyVLQ#p^T?c{4S~szh|A_$NlbiYlP=Sz#`NEajYNurp#u>o-d<$^3>IC?9U-1r@*SiC>`>HDA z)~4I{@PGUb;x7}w7agd``cNS8cfKakJkM9OUk-o1IRm~Qyc2QuBZrO#o~i--mYd(u z&jX{$*A0P-)uVvxv$5+OUmPzA9l5L%#?|SgxJUUrY5><;2J*SsWTRpd==u}C)2SpA zfO{9uwRO0BSr>e}A~DYcULgJ^tP60z+9vSj+k<1AUB9TNeih!&#freb4wsX-PtC_= z;G3iAM>^adV_wvzFYugqe*?}P8~io;=FlAaGk-u0=Z`I)pZJAYw7YLD&Jo=_4RHHr zHgMaq6Yn9V62H$ZY==6gcAx3wbksBMTa`8+@h3sxo4CBx&lLw9@pJJ=$Cq8m_pbB3 z#=rCu`_Y@sb60=G^`f*$wqz2!{-iN;V?-TtwSd=>bzgghy zn#ZhrGCCXapxHAV?oUa~*MU3qXLC2+w@-4t>GpGJH#RyPI`48&f7n&T$2QqB&iSw6 z66@Hv{GG&4y=krEtBb79-jUllN9?QT%N;H^@SdQH^8O~G{$3274`I;PdH8#XdfKqA z>)gN$>||7JP6`U%e+nXn*S zU+rl!#I^D+=WDw)#B<_PGOTmkiT~H3=NtGh2bZ4c_}*Q!0C|$l4z3U)ScjX>ZPWjkDG2ghv{TO~A5zoi?T)IMj*cIU3 z$MtyckSCr1xBFATA5}chLfCD`xcRG#f-mCZcQ{;Cc7QN8HrhU;j( zN1ZyxxcI2{)E`qAt=!*cJn%1hF6jI*z{T{%6CG~)Eg{bvggE=n-y;6vH?AMC?;vn> zdMNA9X8xXN=QKjTbYzvj&QJ5pF6#dB0CBZx1lRdH#$R4m@Zairh^Oho`l*xMz<&37 z931ETQAK#(*%9@qzkMv?<^>dmt~uHXcKkO%(3cZSpl@%kV?LjB?2CDo;=R;P+fRSa zHW}z}KM&uZb% zw_`Bw=c$OisMU;*nHtQvb<8*@CV_ANDo9?s)Qt0>Nh6$&PD%gGxa`1nqbocY*7N>p zD)axfY~3Wtqn9r!{rK!#w7O(g>^r+E3-o11zW3`{J$pI3<|6M`vi}&yE$=|o0kNEZ z>VA{pr~gmwnU3#2ln~AG3w)EnrPO@OLZ*Zq9v#KkE7<>~|T; zdzal-2jez-$DwY%{!`X}6I&ZP=JeI^4%fr(QYVuBs#Tp(KW#ehU%h`B##N0}V;tYR z5s$vV_Xt|ipcK}jAIdm*H&SDLn)iQJgxz+D_m*Odeb<*~4|j`6Xzi^Hv}=pOAA2E? z`@PHv>UIwY?x*1Q3h%~2;5v-!O7D7w_dfqU?;&=>Wj=SaAM5Itzu9lX|BKL1BbGS( zW=%%M>+7^=y?;_{bGSNr76i3({;Tkw;QQ^EA2E6O zEX+%@KA0c!V_dH~JP!PNtV<&QCFrPRbrv{W2G<8q6q|vSC7Zr~! z4@vOHFIA2FIDVh^9&A88@rtJaF23!|dr0iqXz)+_^nd9B?z?^`<~!UBC zHE+#yxK}W7zsK|-Kc2tC%238xTr10cQL7B!_rqAnyaONU=iG9mosPWriSfDck^Ypw zxyRw+eP`faVcuKKxvhAARK4l}SFyb3`}X{_m;}1X+zz8(ZSS zU9~P;H7*>jn>wo2hunwfA9!9q*N->3a_8heCnqN-C!a5o?Yp(>*ees8$fkM?@(&z1 z&Z{B!YCO2US2gZ6IAGlPas5a43m7-Z-{CF#j|}ur#{-A^I{H31&m(?#nbK{~H-|fc5On=(9wf+|! zZi@|it2#XBVx1?fPt9>}fYHy|bQneRDhD57(-=Ki{}k{C>i^ zakVGwR@awluV9B>vL+3E&qwFoxSrSRr0et1SI@gvRO|W9wdT9jyBI(GDgpgQEihk- z+n8^X1`u*U4TkZ>5-;X2KC8gu4)8GI%ZusIGXfMp7@nXX^p#R8Y zuxt5xFYFtC*x*0cm(^3EU2Au?>;Spe0}wYhzPG* z%lhoZzS-%5J6z7=I1io++(dV|;&7R@Krrwt$-w!v zsiZ$`4)ofelh7CIh|g@hz1YcHyNmFj$zJ*EfcXxWJt&{*{yQ*k4y4X?IEx{_vE}E9 zzw-yktJ(+AxBK3svfym&i}Si$m{$vn*NAssXuIVqGbJp)c-k2EY0zZ?wbNfJ)R~dkC!%&%+#U4s0TO_QudY zrv<@IaWXG>Y+@|qysklrk9fHM<^{A|=uB$xRX#*NK{{W7-mpaCz1%#Oak4-qODG{S)V1 z+*$`79sf7U_x>8K$$kfVb=o5I`G9)lpB16NP18`|V(kX-aNcLR;};{oqWSYyAg_vv z$0!ev?M(ae0)`H^kYRG=Ec5*rnT* zguE@ekL-MU4deRS68KrXxI%au?XUD4jC`)A9|kTGPD9=t7#9NnFX~D2$LGN~Z+tS= z;X1i6;REQLsXyysy|OCh1-X#UuP!DYv0$O#x1J0NFNbd;o4c$xj(0bfQa-Ap1 z?>&sxwk!zyZ9ej|UU(Kb{}2p2Rqy|>epU27&Fit7&hP8zgnKgBDc^=7e%Qxdz-?{H ze` z=P*weyhQic>Cx1`IhJ_Zo~C&C?*qy2q`WSENPzwJ=YfzH4f>J%m=ub)ArT}W--^!P zlQXoxb!(B_y~~8>2?dWxxCUI__(1D=*97q_`|YE1(bDItTc-?ujs4ZV`jOo54md|< z#AfWH-Aebe7$1i7V!oV=yvIK#f}bZhr+6@fLR}o%K6EdLC+A6iV{M#w_3;hazc3r| z-w!}tB+8xzE_hF>qXPfN{>md$DX%V!qdb>qJNViC60l!~2jU#tTOmPCuQ*TVMOADI zc^Q>=oWsrIWLoda2<$U|=8Jt{cRXl+Vu+!8TLi5uaVqD}sj5yaXGV=2KY`|rw3OMg#BHf$DBc6B` z9}02&Hti_IBT%k;BcYn{C8dmnoF4~xi7&s;d~qU%k}mmc)aHla)6{L;%hdetvqz&;l65`6Y<80sQ3o$g0nzb(eq%R;N2J*seK z@R~2Sg2!$xy20rc1%D;}WjQb|uJWNyp0B2NuZq4y{y)k{i{pwDkkzU$`mZPllP zr)*i^dhBK3>UxJr;MFICm+i^O4@24m*9AAg&wT!8ilhC<=Q(-VCJpj(b}_8Wj4mDQ za62LxcAD|SP#=mh6-OmGJc#Naaij(L=d(|=!&MC3%l6h+~KDw>Mh-D25?z!i*mS#s|veqeLuo;#>{uPidY7Hs!BoR zf%G~K@nHWL3Yb zVMT$9y~P56mrf+V{nel1t>pWO4ma@&NWSnwitAM#GaSyAbtl}rC*l7VhTr&`vcOfY zPQZ2Ro8-5m*RWpwa5Ql9iq@qLN01+;#1dZO@Lb2QVyeSFePIXc6I0{p3cqw*EZ#-? z-MJ2pZ#oy^4mS@z z0henQ16LF3Om_C`n1=AbsN4xW`uX%2$S>OtdAm5{9+qzcA;0=NTJLWwC?2QXz&&Df z2Lo4`Lcq^5WgFt;*{F$R&ya0|2b>t`_?71h_)%*5^Ik*dIy-r5 z%B$)-s_XQN=2Y*cP#ws-P+eiJwS+xvC7n~z=QpzJ+!Evgo}$2SV(I;7YmY*mqeey{ zkD0rhFs{Q6ArGtH$$r~075-3R7bu?xek41+)=+$g)Ew{Z6uZw5UOOH*FSH)}A__kN z&cw4Uh@@Ju0u#?rU-Uj}k(gc0^IgWUIbKtz_IJy`3frIdmeAW=>TCK~d zcf~Q<_kO)l-wHpfSMBFUbdL4IXz2CaPyUa~58U2u37l0fL;jk(ll<{$KI#^`Fbp`~ z^)=#z`{kYHc+^FTf8&!(_Uu_Y#o>B8)dOZD-3wyUMA&I^*MuL;R;qv4>FDXOr$Q9r zt-7F94{0CGw7?8}G5B?A>P#ok3edf%Gj*o%KEo+~J`X^jjoC|WkBNvw9X1W;k(HqL z7Vo5}emF^Wm(9}%>ymXU()%JO)x#p780DdaMC1p#{WtVYY5Gpc(xL{#4_`DUI~rYr zooeqh+*9g(Cg5V=UHDHkj<}K+YS|fU4l=edyhTtg6~waeO}1( z>7{5LSGTNi>*CYL0GA)aXx$ek$2nZ2T!x%FSAyby@+A1p4hy3BnUay8`K4L#zu80i zpFQ0PoJCUIrN7@myu0Xo1@GS?((%i3D>soXkXFr|_JJ*b) z{#&XK`Hs6w{L*<;SW)ony|u{SHy+UbezA@89-%r`T=Yerk>xV{IkY?ES%XQTj^DnZ zb?J{BxUNO@KhKfzK6+}QU&gP6J^JaN%IYYMrJ4f zH?5C(_WDPv|IhRRZq7Hrx<&EwtDHURE#(UyNBbz+mBYTs6B*x|Z57g={nHvJ&wVC? zM?_@YKheXn@3tw$KYL2&&iZUZoUonrJx6q+x?7Ci4|x_q-?>!&X5g2tuSdf_t*=sl zLJ?YT$?^UUmklz}x_nxZe@t%VNtKuCRaI*^aF)CW=R))yjD2CV4#Q9K)!PuqW1>m| z7g6EB#kphHFYWu9{L}mf?boULE1bLzJ%V$nPto^7dtgtDpR=dX8_2U1`rg8G2gA?o z-*Pzr=8y03{*od06P!GMQ4c(3_#)V8>mOJIo;o84PmLnH#IA7QrB?!%8x{c9>yIpR zxSn{5OKA>6u64|MCT~6c9@elquLX`J3IVfYVV)x zaC>4GaIrftaCUA3?rRqNJ8<^;8{j-|=4dC+e|ZXApN@uJGwjk@hs&5+#FOtlT64E@ zh{M%-;xQfeklt^9TjOw(xf=Pceob0enTI=pFUk*G`IHCFgSTyTxGtl>Yx@nuesYhS zGaYWfr0))TMnmk6+BE?8ET8!o`uYLgGy2U>xCfQ34j$R99qs3m6DrB^Pi{rHPXKVU z>1tPp%aq)tx7bqPBIGRHU*7b6Utd{4@^OhBoVyvWd}N3`g9|_(<$(X z@8~@uv(vuoh|%P?=3{W5%35zBZw|E}`GdjOUwbDTW{tDcbUF;&zN-U! z#J<(RPOrN29=I;{J;mFDQn+7q>7uY-=C79mIaws$wIc63_{I7jg1kBU8U8e@$PZ#+ z1B$m<@$j44A4c|kPwyDhZ|7pi!)9j0*`rF}6TQFM>u~;=_E()Kg1lm;wnH9J<_qwM zdkrYx{92E`KfLQp{F~_aAoE}gy_+Ii0=GRi`1SCkvtYl?jdihwk8s}AqQc8z&)7DQ zH^*~>Urg+S`b6#+4P5VTOa4jyu>#~Hrvv9fzkx?A8_+H(-G1e}oa6`Xy8?YV$78*= zVL|A%nLQw{2R4aw<9y!&$lECu;b+_0PI0(Ou1NCRhLYYHZ6I%lRt7GDAA-l;3;YRs zI=#m_)fPCw+jc8X51@BlG$?T&!$F@{KPMf8l|7 z9d4S8Bs_-RN&1J|1N_o)+58!B(L4wIDI3i=;BfQv*T7}Q?^E*rsz8Uce`w$Nn04S+ z^|p_3IA2cZT80m#_Z?pgEx58$fPMmmpcLqoy;T#$VIJfx>u^&s$^rF<@XQXXJe1F^rlKgGWY zF93e=xDM>mnJQpD3mkUE&6kyCc0gMp5xCv!PxsxET`L`Krx(LHm2K&rB?lDS0KDE? z_+5PE3wd#{FY=Yx^@ez!4oCi!34R*IApa#2LZ1}{*eJk$)2=N*cUU(7xJP+X*zc`>31Aa zHWj%1+!5zOz32(&v+23{g3THp-dYtTO<3Z!<#3tBN zCl-Bsrx#lB^?>aTm!oT9y>jzs@Yr2Xeu4b28Tn!Cj}%8Ob3tDJQ-$Q;KD+MZY(f3A zYxPWT()+0d#`TF|u#CL?0XWOv}=?$p?d(^AS zh=2W->Nho{FyVD)!9U_-#&_+h*~$J9U*p~vNnYfK&ED8|oqZYjb&cX=&yO>K%U%uf zz7RF(K9!#Bfb$a#!LLImLY}>9O!0Fi0`Cs<-?|K*&cM~Jy2yuYKjkISXgcv%yoPfv zKNW{Prb-0%T@TE+2Ywh%?+AS?6YOVea;?O^{QVvI;le5GJL?fQBFXK0U|rzSoBmHp zm-JuYaOp{Y5QX+Y-rg@l-`^%IgSuZR8sewC0FdfCo6@TtE_k9F%c_vv0y8|eR%SldGrfY&Pmd0vL%k>?*8 zO` z$;*C}7wlj2fy-JOCp+A94h4^z)`IZ*EoM8MEzO1Xs&zfEUNz~OhTazsAgAA5r8qB= ze_B$yxW0G;xZ1lCel}UY!FklbyaaCYZUoLI1kH6kwle+xZEn*0%Pu-jb;!1VVUIpn ziuj(5+z9z{C(sxDHF)%(t>c|u(T78x{YKy4j2b-A$ul4NJzH#{dq-z&y41;=ze+-0 ze9m|WU7r=|a8-ofb*#ZYjPvDraG#2T3yD7uzQ=k zRn%hmTj!Yqy}bEXq%S#v?9mK)TXnpG`MNj#A0MAGZ;j&-`SL(s`_S+Fe6ROT@K4$f zc^;JUyZweXKLTGx?{Pkaeit@}s^MJNv__DZb*|z*HN$>fmgMZrM)^nQ%lO_^zA(-& zFIErotRTIMjmZ_`azmZAEtETiT;xGIU;pcL!bNqI=5B$Tn(*HN5|6eWT zt2{R$&x_OV3nuzjtdkc%{6h8|DUE!kQg`EhDm^9u*VoDro)m@nv`Z)tt8yQ3PQ@92 z#G9I!1M+fSGH^RN1mAPaJbKrN`%8h#)L-ETR+!dhFE0kaDL3bUvqvwXcN`x^|7WC6 z^_!iPjlXvFr2voIMjS5q|9(;3nb2B!}}5!c`UtTwEXL1ACTJJtllsV}Dio=c}ANdvFWu c60672z9;*x2JXiG_xC>!{Lcgb|9jy70N@jBE&u=k literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/1.npy b/MP_Data/pose1/1/1.npy new file mode 100644 index 0000000000000000000000000000000000000000..ea82f001ac673d8b6437b703fc08a7d4833a1f61 GIT binary patch literal 13424 zcmeI2`F~Hx`~Jt0+H0wO%Sb7)6{#SW3`(imcY;9>wS>ejWDwEBE`%hKjD6n)wPk9j zmWrjS#Ml+JYpwOkTzCG0?~mWd+b`$wdd_vOx#ymHX3jYg)24IlcHOhEF>GSRzyYEC zLn`|5iVX(Vtyq;;92gujDx~l5KEWY@0~~MOcWCH<3?3TPcf^2<-<4|m`qrxIU6oJb z|F8dYGsbj_A-DY9ReyQSUG26Vw^B2%>gva*?l&7e7wxP=+8@y6O1kOV&87Ef=QVGm z-L(82?PlLnwClsvZjXI)+ubKe-9bD5h3>ccKj3~_CFG`SH$$sl#g!LF|7<$BGYJDj+<7%hT{krjz zbjMlF!q?qZ4bOeWwX1ZxpL>+2`27~&aP9m?cI(=O-+%Cz{dOQe)%J75A^VO-yLv|X zGhe*B=kC*6@7~3=q&?&A=Zwa$FD|<5xEwM0fxD{t;(}|}Or ztJt#jhHDq+e%$7M%kOd^ZnY=JYy95dHQlvapM*5`n|p3X|0eY9zxe(AZkpe~!auv; z`bZVTuRZsof4TfV=7-6SxL-_Oi1CZ&!*Rbk)(`#jwPW|X`_&C9LBtfGB3+G&fk|s-KYu(R& zF23r4`{kuzw2OteXuYL3D2)3(3sBwdT#I&IJ1g34iK?a0{_j%6ue#>V4*#REr@(uM zd%3Gk9*h1g_eHxo^K75vEOk2KvpYV*k8M4U`e)_qElSO3mW{u}y5PGTVBP2uCzgZv zdJ4Tx&WgO)sz+nM#~cG!lXLtD|FO-I92dM!f!CbDdrt$n-C=llb%T@MrU%K`(aP1sC^2=0P8D zg?QT>lCSbm7*jw$m2s{M6Zm|)Z6$^@o{=3bXKXYS0@?#@TM*F*X zw#^{lUFpcP>beDaHeY@Zu8zJX9x(uUmN{~hJ|)Xl++VX?l=C-pR#DuumqITiUL#JM zZ6EaZ(R%Vp3>oY6@<}alGwT)Rk##&s`D{O)_`rAIdT(r`)AO27;BR-7zJh+msX2}- zxgT6s3j$~JFVAw^p81jD+5HXT6!8ZY^mEcF{>00;iVat%L;r^2=Q&CtPPS$P^yYpP zOt?MO< zdcI^YxGW&xXJqF3`aTd`6{d5DEh+-NJyRK+ooPV*Z@+=MRaYjF{zW@*exnvRk7)(Y zd-VgCo%SOh9ZvIN?wK$9lK#(y<;{8E^RLy)CFdFI7%(K59mBaH;=-Kl7>{=eTLN zg~oH9Q$9DwA%5BVD(N@;Lic~QUDyb+Jw)rR)Bt-IhOMg~*8jhl`97{3_W z2bT=FR?`Q$tMC*QXPfQh^E?*yrlYsR-_)&xdb4Nv1Q)06Gl%%I2 z+C=qJe-OB`v$gY=w>we%(JN_O)dOSUW1_%~$0cx`eF5UsB`x`np#4N1--vvQBJaS( z%?ac`atP*8PL0BEBeT(XZ?#_F{CVlp)UQu6{B2Sx)D_#mntaCkLT|Sx#W=kqfXe| zFQMnpcT&H57XAdE*r}Kov#|-dXz*VJ$IVSzFXmw}+^09iA#XZ%G{zm&lX7LB; zS^rRQku;aq(TQmCZ_tD0(c^lui=Q`aLp~3ClKxUqV&>S}DJe?O{QUAG(R zL_FFFy}jBWdNb!C`c)Cl!PSvqaCxN<#Xp7Ci?~bA?|S|stW(RsA-#!(UWmi+XI>R3 zp5YV^|D^%-JNYiq`HOe6ke`&lUF4QOfhlq$MuT zY_S*oWn-EbCg0(FF@B|}-;jxjhtE7n=dxY~E;@N)y~^Bo(XaTX3OJ812ri~2Qy!|s zg0s;d(68`Ghu*fP{Xrg@j(v&OVAuyl`*t)>+sj~oQ_^MK?~{t@Ak4&!~Ois`O~ABkqw#`^?{TE{l~K>rR*0jd;x2m(=gF59C)a26>PH zKIm61KSTQXaOB_oM|Cb%=7zsmyPxuwb`3r%IDpoB$?G`Zjo)eVy><`hponRO=LFHQ z6u5490q3u&e@Z;(%sqcfg=_`T7zpI`4y`9D)^2>j>wfxoQU8QhLvMf=R{lf+Y^!R5p}*yruF z9}uVL+X7sfDC`5O+H%Tgmpe4B`OT(dTxD;A+ltfZdE+;M{D?yH5vL5L=OXo}7uJRB zvxe&X?-z()MT@bBvwIcFTT#k`I8-#!asG&&Crvo*+cI|2GRN(UT=3_&jv-FbAt&le zoIa0wV&(oso>_36<^CCZxw{zjY-(x5$y0MqaXzxi3yQy58{8)s3`Cyg^JvP?ttvEM z8=~nsst4_3COLxQpMN_Mah5Gh>nHj-T|-8$aQ&K{^t`2KeNFLv9^V`K2a6Do%AFrR zy5LldOD`HpdD!odxK!`11K_i)F~zfG6}Xu6C!WV_LNxm0^Gj3wxzp!4y)FI*c^0is z(0y6vg*(nS{{y{U5Ju;C!mcTf>%#Otr=HXLU_I`Jr#jyL0p-~vbDznPEzWWF=q$xI zIDqm{;V9}y6O&mQpiV{zYIDcsiLC-wqP#z9ti*!D!Z7Xmcx&T~F>pmU+5p=%m z=kbVNoSuvQ$__|{zvcA4Ds%la(CKaC>WI_6S%Rw=*|MkO`VRqrnT_U6t}Q|D%ZJX8 zulgK%`I0IB482&m6~7hBg?&IK4o97+mUND=^0P@l_hA6^wI{)!H<^U^c@2v?5xqBn zt4iI##f#cwTs-WXlcayzn7HrYL5{2ICowKwZ7V&`r!IhAUPz|+wY7z04H^ zZsPla^C@3r-SOV^z9i1~0@nuzVm~o!{=s;4R3!Ny_!s+t?3@P9Y91#4O`g!RQRPr4 zBB~tudzX)Q<7Ivipf?4^Q2d+HBV0V%o8IHtKQXwE6_3Ea%A)Ap(cLOze0upD?9ckY z?ley)rlD?C)5A-UheDe2A9951wBa0j?wa#6>2ochIM24HagD!?cx0t@l-IMT>mZ(v zZ74qrGuL4uZs|;EqDst4*daF{$Lf&*XrHy5j`eTzxndFMLg5?QJ#O=kE=R63+q>$ zo=E-|gD^gxwF34}F=7n3Y(Is@y>AurY}1B;vzcp%=Piglv&jD7cFFJH>h^egF4|p} z{2zXaxNPI9SidIoIayty=Nz3gE1lQ<@{+&L5crs;1rd*0_ZIi_Q*_R7PkPVd@$@~> z*h-|&;fXkP2YNr%*$-m8CapT&qj|+%@R#YikxwI9BOc{jg5q46g8a)Z1?k*edyn$z zO?9ij90#s0((?~*OwVt!_yU~cBDodf;9cl_Q~g$YFy?U|6 zlZlj{`2O^q*^0iOuva$_r{48@B7EL$fL<*K0GAgy>e-aP2QI#=LgTtte=+7g2i1q! za*xh0k9+hyf9fLX3q41_vRq5VBePrvXRqkH1@n1;_X}BUB=y^GG4y)-C9DfMW)Oa} zBJVJ6y>(Bd>(_pkO1fR@ z^@u~iyYc9f%kchXey#;>8NFAEZoLtw>6VW1uvXVee|sqH8%N?O4}P7 zCVi&~*yqiQR>;4$qcPw7d<4~Pde9u#KVO|d`qJU3bL-_j-Hl6~dk8MS+z2j~cE&mq z!Odt~S7K;g+^S9WwkZZ&`gS3o9%V5vy7f759Z&!~V;-=t^3m_X`HAz0)9&69ihOqe zmGb-fB*bYZ%vtH;RKE3)XBoVM+6Vh#J=)v!{ed+NB>j$N3C@RKr0-YEHiX`;io?9< z5ZdS2@Oj`;1=IX4rG0?!4IrL!3tT2Qqk5?P7+kD5O?95*I=F5f4{k!L<2leaPb2={ zA#hb}Rh)}QY@_o`PxPaCS>L*=5C5m7r(9_j`$Bzz3Cn^!IgI#)Q{dz?^E`d z=h*jbVoU^l>MX*1@pT8m6`M-u>?ivB5x@SD<}qbD_BSE_zU}Ywlzg1@$qlsoZNjP% zA2Sp2%gG;cKJvxY@3?mHbM4FSs#?z9;jZjTU+7JfxipV?$IeH4%~){l5d*F(EL;eE z)KTKSrjowt-%A`9cVB`Fo`d)WpJm`Nb&2mA1}{@$8~})xICSJeN3i3qVxT)a^S)v^E=kMT=X7vdmuPlb^?0Q@D22~o zaJ7>m9^Jp%OsCgTrQu^1mjh?3JEDGADKBuk#x?jH*0nv= zi2D7r80tiP?uGhf@(8$TTAk*l-K*KohadewJZU)QQLSpX+i?{Z2(Hd`rG4gB{fJZ- z=h%keB78aV>!(obKuH)H7>V8RHUHc4ED=ls!wG zUJh2&Z+H6s!t%8zNjdL;aZQ=PD=Sn`SFc#jkP*FbLu#9V-H$1bt% z%9AQmo@ZY{KDp<>RgR0nE1_pG9^iUs+)v<-n?TR=)j^(3_Aj6}`5KUqIe>n}=E<9! zo(0sPen)?X@me4HF3Mk1ecHN(z;)z%tQUS^IP|ul7v-mAZajbT>ZI2*ry$R|V55lC z410NR8uWU=chIYe4{81Ooj~!Q?*Psp*9>y;n9!l%YEwhv4+AGTuBY|`m%JqWGyY(O z_X5+Y891+97kX2zN>A6X=~Ert=Jf-YSEr13oP`%4pPv523zms=TvsjzE>@MpKE@7M z()&~)ACF5E&-X>5;gh>6xaqr$`kfF*&nXKWx#0lz0d|Ylow;!h@r&Fo;4hxh`K9uEU&MHRIkM7S_0xaJr%_|97kfA^ z!Ey0><~ggz(7G5m0`INr>u~7x&fS#f2hBsAo}aG+ZYH0FUU^51P0irUvpzUG@B#gb zXV-k4-ZZE4+L+c@*ZjeniH_Trw6BW2op9dCeN~ejS0@@{UQ|9t`+Vy2)sD+|Wi$Kz zmd?$Uf!HTi9@>ZbBY*6l`eoR1^t;g;dYdBQV;=Z@m73ur%4O#5;wH*li5fAEvvPgW zudF=;dR1ijM))Mw0oR?Qz*)h)@aI)>lRoe|xVZFJywkI9wot#5&w$GpGZr|m?+hkB zY$iCrmK+WJfO_D1aTC%Pd!`(hRo~x2dnbC{GjEPWraJ$pL(nh3bd&1DepnCPWjZ(2 z)arDObnAtE&qmNXZdh3o!<1Q04_FoQvJ{U3g@^jF2L=v({#S< z&9>d?MVm14&wl~?r=GDk3O=btz~%CvF)rJp#^TfrJqsL5yvcj?YeN!7L4V;piYM5M z>O6ZI#W{?glZDNEZj3%1=kzLZ34Bban$U}c8;cy5pQeNBUi5buefp13$N3%!e|@7V z;$aQyZGcY}Pw2&A`n#fR7dp*xQ+_V_&pU&0nTTQ9aZx>m^o8j?UN-5Cb(-;A2%Md* zj(GHUrDNc~RFF@x65!n16YD|@{0dyn&P(xs8w74z({nQaGbiTVM0%pmZ8d-DcN_hG z2@&@I^&sxje#?$#e&-C>10QAMNngwZKGsJfKf?c4;>U}F^K13vFy2?UDW2iqgR6#V zOTi<(sUE^YY2Lfe+U+>INbeEi_EYFtGo1*2h0c9Z{t(`?)z>mOHAAkF=o}IM)cp~;CG2RR3xMlPl!WNZ* zzs}inA$)qarMf*hhU)6=Rrs?jbS}tO^xe+neKtPT^~=6PJZ2Nsr>vAT*>N^Bb6*-e zmDX>ACV1~K{@qB=HiO%p>64sZ>rDNsXT)oC?*jjLszWn^o^#ZVesqp!rS~1nd`Z7~ z^9cV8AKrL2{AFwf>NmX))+6Klsoz?=@%$jYK2C9Zd!5cHR_`FjYbQoyUSx}c(2HLl zp`LB3$7mOiU6_UVn59%F!K0@-AG5qD^;;_$T&J|f`EGmDc=acWQ~S*via1x*M4rvM z9*Bp_&9v?sW&XdHRV&~l>P;Kq`c=#6y+DN3Mx7X4VVLug`3h0Ly;{=z_RNKIP$#ql zSLyT~q+dLZa6YUZJ=fXRA@C9Rl14agJ&%(~@{Ngd>keJDnGc+?Zzwu+8* zK8pKNJe|)|oP|CPba9G6Nj_mYaPHVF1F;_UiW}f!e=5bl;uY-!wKCV&TKcXobB@Ql zkdq!muWOcvp4WSc`d5Y8P&_$CA|8HWG3~2$3xM0Y^c|9gHc7^KcQqou@HUOB{K)N& z^HFyw&L>4Mzvkh>9-J4t%;ZsSTqa)n|oldWs<^*Ta^#8lrf&$ANH`6S|f20KT^3SdD&?hbfSM|KWbroOCmrd_W`b}BM zKjPF}=y&*l^K2Keeog8VyjNP0d5)(q2WJ7FO^1Fd#Us6@P`~Y_?{l0Tqj}Lg==-65 zRe4%!2DVu<&%sI!FpuoNALlzRyVE+=?Q_$5Ne@bNT%^(d$yW@ec}(oO6np^f5Bws{ zFaPaS9DF9xxWxKI=K_77*2>)PkyX0Mf<96#a_=r3sF~4l=UDUrEkOT9m ZR|w)Kw`lk{umAn~Uk3h{f&c$A@PB4-Mfm^# literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/10.npy b/MP_Data/pose1/1/10.npy new file mode 100644 index 0000000000000000000000000000000000000000..12f98a01504aaa4b665d062aa90c4f2ab202ad13 GIT binary patch literal 13424 zcmeI2_kWMq|NoCtl&V=`loNZaEvTH@ja@|%dPE{dtR%L?K?o^I1_{AIlp;p#nPb(c zQ6u&^_O4ab2%ntCGk?MN*Y7*OT(|3f9@pbM&-2Xd$}6UQmv$YyXJI4RxC;IOA$@}@ zG~^W;_iIq0DzDIQXmDt7pCP{t4fYRkyk(!Dkbn#x(!bBJfQ)J) z|8ghAD_B=R=Y3C zK)GFCiON%{+~mu3+dXIHZYm#B1?8$xI{C-dz6swJG35X92+G9}dR|OQy5Y)oLgw?~ z2g(1zdps}x`2yuU`8A%G0f$h|lc-z`{F>@d|NElzQDZNrr8>Wxq;eCu=AL^_g}1%q zuIx#|aaXQ9sQsp1b;NBN-Mj0``SmM^&ush`?URugA384L?*D`9?`;p`d0yPQdov*D zZ+Erre|d)T79UQza&Gu>lo$K(*j-h>HUFag$k2JDz798`1c?o`1XJI=ma=7gfUWy!JeBIW>dxk8Sb1 z+BFJS(c}u^SNA;NFZVUy;hyKe+(X{^{EeCM|2*G4uR7NEbLG-=@@03`19RhfR=UMv z@YE~a-Ib3~cwWV={pjw+XV;tJ8n~u8t`l$JdH&ral=HcJ{qfu$kNWOvf`;RHTd`YK zk#R3qExv~GKJD|nE2}f^io4o*{ZVe7T{z?JMe@2=P29EQ6g)3SK1I3i{vP9%PfXA0 zbUMNt&x?xLvx$s*Rr&Q<$K|ExC}$q)Zo7L`Ar9qo!@iB~-pI8jp!;bx;;~0H%C$#{ z1F0G1`XkTl%I)%x7~ia0Y3P{$)p(R|FOGSk{~m_+vlGRW99Iqgg=RT!_TRs_i5akOZ5Axb;^7-c&xal`H&iUx6kHJN?C*UfvTQurj{gnJ!S@a{D z-V>ZZeF?5g4*@rIQe&K6^?gP9Bgep1=oI)%pJ&8_ilW{2)~Z;iw_P*y6BbDMsO0;r z<6=@~K0lnJ@jAQxQuu$|4Va;Yvf0jTb|(U;(0q0>#fO=_X6$@ zYz}pLmfW7!;WwV(`p59`j?2q=NI#g9{>S=Zj;j*Mh|io%L4T=hMWpH*Qbga|!&FS!0x<0tLw3PI3k5aw&$APQ2 zQ40PGhm!twONuk(T`$MwH>arHyajMolZMW4T(?;dy**xy;$L;o*Ku=yCH42_x8TBe zQoOf|XG;O-S?8nRws^T9$IY}U@RdJ%A^-Y<_|5sS>YLCnc2i;UYcyiM<95JS>Mwm6 z+|JKA&vEJF3$9LulKzxmg5#oCDdPW;Ue6ql`6!Q#1UC;qK`)bcgWJcnpRwE(X&gS9 z7lU}RuS1-A%NJ;e%+_lr{BPeSpTH1`-#;qJab3!Svn~en+V+ZF?zsJ-51tp3Z(=@* z(v2p;$NxS2+1c+g-`T;Kso=-Uz(*V$3xB(J6;3Fdu1TT8&7-a2cLD};Hvc~^6NDn#_)c%p;kGIq=T^s$*n?-^1rG>HHnu^6~y)Ai~+7&hqKEkIL@}SQ@1lP6u zf%Dq$QLjB1h4!iu7ihkJ-Xp@rDV`O9zZriS^|B^QQLj4r2gP5p618`BPUOuj)!^ps zbohwu+c2I@zHcd>{KK)XvPxwFoWJf+kNT@XHt1zg>sn~e z)(zZ-{Y>-d$yDgYchit(b1PCiJ^#>*;(1q$eB$y)gNKYEec9~fQ!oPaRDRq@^>%uV zcG)t|!Sy!sXLp7pf4tm$^ox#9A|FwL@_HwY)`9!U;HrG)zVj}Y#@h?pAB9&C>XiW- zkq0&{1$x%E8aV5f8~c&&(U|;GTY(FYc8Fhfst2y$_69etb|Frlw=(H-&jIHvtHR&J z7AOC-Q>6biiT1mHFCw4z%THHbfAc%@!CB6H)c!WTY22Q@|A#9#6SCl3A)n_!KMMcC z3tT?67p*6%`cLrJRa?(?T<*(5ar$PyClu*|epGvwf~&HDG#(ZmLEhNAiWGl*S8x{5 z9(vY$9yq@zz|~)qpckt)(Rir21M8AFTpjC%Y}gK5ENYAOQ)M++e?*r)k{?&s-nM+@^Y~`e8j+Z)u(3!DUamICymH0j^$N<`jJG z{PgpV+b#<67*i5lH@boSSN82Z5K zh?8A2@L~I>OmkfC=>cwTl%l+COU3*$;S*_`v7yMn?(o@g=P$x~Q~Qez0yoWZ?GUG#)0M{0wP%Q5HJu56 zvtT#I4~vVVyxnaAALZ%M)y1Pu`jF3#WE#(7J1+u1(GvBtn)NY%?c1FzT)pP6oAB3{ z{3xF7FQwyR&TROw4>jRq7u{XreAuJ@sMlyZ$MF?|sUM3AaFPEauKG;EZ0DoaFGIbm zQ&Y;%7k&wj%ao@y9+usqd{28b75WYNac}<_iaguEJ~57q_$`!&V?orPQH!RgW^gw0 z0pgUivSPl=);`V;1_-MSO^s@eR^c$WJ+f7Y%X;#8~8(sP9$k9KjY zTVA*~$#gz7o0s-+dK+{Yd1UXKquh4!Q;wVBd*P$s{)ctIZu&SJKHXP?o6j@P(Jhk( zJ1)PPjOTeGwacz4HOz54ej_*willx&+^~z|I?Ea2tw(^XwZne$&fu)kMQUf;CDbp^ z*g(g{rex9&J_~O8AD7O@3>^us=OhrXe>%i*_0}6){V@YvP7WLExS07lxEQ*ccuK%H z@QK%v2UFOBtJRxE!Y6M#j4OMqDESBW#`#Uoc?`YiHx2Rgl99nqZv*IkS@gY&ei5x2 z#=(D5=6>We8uLPLn*nZOx+0(U+;*CGCl@6+y&Sff`Z1ya^wM+3JjB!WPjKFMJL2J| zBWYdQdjavtW><0L)p|5_dKTQ2^0vMbuKaFiv`d$503Xpb9$aT(vrun?8023*=|uTx zCKA0fZ1@i9FEzRf+ROfHUe|G3Y!t=se;@0KoMEIYe`J42D#`Bex^PIm~KZ4?{S)ay5c@yK}WL1WOtB3yJI%OR4sZ#oZn-=S+ z9X*O7Z?aJ4`_!`>)UFp(=QH+QV&uCq>M}6SK?-mD_mp)SbaZSNZ z-4CRn{uo^RP?dQ5@My$2g}!%+9w}&_++GV@@1^%9>Gzt(iO-&ih-ZO6;^FUWQ$7bJ z;GDp{X`_;`{Hx#JK~FItpDQPTFQU+ z35Z{g38(yfJt7{{37kj%NBK`{11|R#!1}3*E&-Q&P7*&;7xlAN$%tRJq4z%VGws`Y zTs!P{>`H&=MeDQFkG(o!o#b)d@w}Nx`>Nd9na&SAcM>mLANl8hj)ISxwFF!hoeUp) zx*zsI>GKV^s9pbFOn_8(fGWb%EC zAFAfiL&m*wz*)#ugSC73MjrQA-2{isa|BQEBY*`4s zxHlK$+&<14;^JgG9+6Mppk$ciGCBdAwTdEMD{chz9WH?D z#+l!>Hb3w0xXPCudDHJcC;i;sy&UHq($U{0bQ$85s_QCmr>|F+@?Z5S@^5dw#60B( zr;*RLY0#@h#nCUSHoYgRIsv5rW&-+!FQD(P{I~tYD~D14?p;AXd#8i*j(fo6YI^@= z!>VB(nO0lzekaCXg5K^s4!wx+#rakypCO*(BRES;Lp-u4t;3?%5cG?vn%u{=OV_PJ z^^T$cU&+!Bd|V#%L0V^Q@;2yI--Xx*?ae>YFRc3))W0=GVqCG08r%+{_YqMpF%&*u zSGwiu5qruYKl)>0g5x5n#BImr&OnOiar$C+Z{AjeUXG>jv@9k*-s#O})1VhSj-7=r zi^nE+<&jgNw~q^=ANiAkb5Ndd57k?qzPsA-Wn;lxJ_Bc4NG}50#yif+mxsUcUq|io zys4p&>kd7ye;3>woc^2R8T&i9Y|w_rf7JeH$3@sYaO2wrT#a50z1f)q{`y(~xQ%Qz z4?Z``5#O*3Tn>&~;J6y!j@p~M3XRW0-!F6A?4$Owb+lfZ?IV4`-&Z7`-Hj0^YrJ-e z&5$580m`t9Im_R8yMXVbAG-Bte55}Zd4MEvIRE6fW~yc4*-u@&p2zO@?j zQ5+b8JgDkP`Tzw7R7)H`PtI7=%5 zfA*AzJ0BK08(f#5_e;?x?=aMxO`=|AN+Nzfz1%{_<^5UYzx@yR3(sTNci5AS;IdmE z=;g@XBb=T`?gclm|2*sN?dqu^?yBcr2Isq1o`SCP@C0{NRR*D6eWwZZqEfEk9XDRb zp=X84BF}1I!UIF7uJyhVTe=4|5Sv)?~#nZ1BxLtpP@_)Vp@-Hqd1ZS!Ay_6MMfIP@A zY2K+d^nFqco7U0!*zA$y6G#1S8~9?J^OFJK^73H#^Lc*Q?^xW=pW<2p}G za6NDX#*dm=5bF#}stnHF(05A_P#WXSHuVHIzZIeNVf!qq_Y$>>t;=gNw%uLebA;x#>C+MC0k(M$@*|s) zk1ksdT%Y$G>-4fpBlyUp6~N_>QPA69TCezsM65qz@7oD39vN{TdeNg8)+=+lK$PRA zE9vd_)`(xv?hAi0pb6R~&ksE9bZS#>%op~w1~?0zg!!Vwn$i3{ToT*_@5B63x+V5& zTQ75bX3dU%*X{FFbMf2sHk60Bn=~J1G#&=twi`HG!Qe0aLNIRaNndb2xjE*wO!_nh z@uwF;y}I`c?01}xpm=Id0Jo3UW1m%1yCQy7hxR-1b`$jKw#RJeqpSZ&dPVP*vS;h1 zj;j--H=kvG&%6;`-^HntGWYAGtkmySbIb+bvz+1?Rvr20o*P!fXVhSD^-nG06)s~R z7X|BsGmjDA=27tkr)ME&(O$E^GwHp0AfNi-bmHr>5r3309eTf?C~v9BXs@{PQaP^u za)PUk2JN+MIQB2rc@@?B`8tdT=D+_BrsUDLn|zTc&5ITR3sN)m`d2!4nJM)DZSnoBB*gR2C-TWg@1a6PqJQnGrKs0N zT8gJ>hfPk;s!=?=em%^0mi-R&+(bifT8u`Xjdzn2r&l*4;4i|e-f;KkL#Z+DD#8kb zYkxZbn`QeFQeAn(Z{WPbVAQJ?7NPmldJg5G^F_2*H(rzszZp-VSN&Ijv%i}sfafyg zb8RQMY&tv6aaK1G+|2BV`0bB-d>mJI=={kpmO`Fw+9He}_BeC>e@6dT=bvq$cmn5B zy|d{5rE2}d`Kb5N5pY@UHth@PtCykP!_+R_hrR>LGu|DjLt>Me*Jz%8`$laUYzC9`Mnx=-eXrZzBD{gEUUMX8vAo z!SB>xGfN>qJn$8@>+n8sTR$Zp`N^H1>a9ZGqx5E(kzd3H^H>P-czCpi;BlKNG zjeAZ!??mL;mQRE~pRo(v_DKWhrZL)U`p|hsM1^7;vgbWVI)8bHBTjqgF~)<;Jvzn3 z&)>8l|5^2^UwXw--d@xNXF=C6-*w9`aGqg*(|&EfpzqdddPkgx#ljf)>#v6+etop% zM(1yv{{SCefc8_-B_smzl%#b}yru7=YD)J=$8{*3^VN)GeP&HVP@tU=2V$JzIE&KK1uqP@(w(PHrabk0$aYEa%jeF#Z){_*ttG*R*i zjl)9z*atHP7S+2X2l8+Box=HFFCRvH0=;K3kMP>g$NWI&a9NGsK?WS|D_VL8{7l%eo zO3f&jNyFiz%MZkQE5D4zyf8i9f%Eus6wlG%Sm!6AQ^DD+NtCzcKT*35(0msG^g9P; zuTXyti$FYL=g){o^jL#+RTZoYZpP+7enhVCY5goR4xBf<1-%Sdx&iGNl9lvLc2c{d z%SJdZXSGE2$7UqfSvC zTJB!t^n6ik=;iR9G(Mjm!uZr_OTb0zY~c1-*Xb@Ew)F|PPJWe!_~Jux9#gX_AbvZ% zAoT3ept&eN)f!wM?oB?evn_O7edtK-&6fFl?)s0C92Y4`q~G2H?Uhr*XkQL#Nc!N> z7`HNLu7>}Qc}U-C4Y*jpBf)XriS{YBj<_m38~cmcmAPL>PJ*7@3r0VRU7e_1HCuq& zp(oH@J+TJ3sh5-LJt3#U|BnFF%fxWR$AlbT((l|vzKx0Cy@R07_+c=u zOIvf%dt3tT3%V`EBdQ&Qzdloz^n+f)-+WUx0Y0xQflJSESeIl%DfF)xTL@gtP6Fre z9!>IgdA^e$T#ecVu2jE%j*A8~uSLV+q@O+%>m={o0C`jP9>#-OF$DdX@yP%F{+EIO KW#IpZ4E!J5K4t>| literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/11.npy b/MP_Data/pose1/1/11.npy new file mode 100644 index 0000000000000000000000000000000000000000..ac92dbfb56d77c27d9670c92e705d7fa8437e664 GIT binary patch literal 13424 zcmeI2`F~Hx7yn0Xt$nH3xppG95<3~x7GfA%c`4vDH>;S2Bc( zU1Cil3}Pv*Qv23^Gq02HKk)ta`^hi&ai4SU>zp|=b7t;+C%Q*JuU_7{SO}Y5Yq(#K zZ(yyKPOa7>n%8o3YK<5lI4RI)+|coX!~HDpoZEBYx#j@;kqUR2@I}LxP=No?}{o_sVLAUW-v`gKJ{Kw`z|8etO z+b+M|g?7EFDcXe#wW}^gseQl`v@?(9)PCzD#W%D%{Hsqo&Fbg{wXP>-Ulk+&V&ddG zmWy*0(SKFFb2{1^lfEu>p8A((ZKkzjDVL0G7txd-Uh7-LFNfSlJKr|yu5EXMa@tS+ z`p7=V+jW0{YiOT~wq4aC|0>cIar5N;4{f_HapRh8cdEWd{AyI%6U#-~lV|qIV=A7p z?V_?l+$PW9%a)sVy`S5wdQc?QwyQD+FW7s2b@!k4>fAs3%3k$qo`&`fF~8e;_U)NV z_R2rGyup2!{+YJj6y;mN#TW3aTYY$q_RcQ1ZM(QNH`(6nDnaCDz~r~~UVXbB`C;jA ze?hzdaroy&zJ@-p5|4Hr<&$dLoo=5Izj`+a&&%O7e(d9*LwNq-tEcuVmhL0}S7b(F z_C0TPFU4|x=r3GVi`&pQJIg?yXG}kA+vWO1Y1^3=M*j{<n?O9z&x}AjE3@XRl*_Z!5-g3DlgX%@g zWmq@n`S?iKKTk$p^aZL@qI~`Fmh)4mDW0YGC@+`Ghk=JvJj&xC@+}J`gj=pZ?SMT? zFG2I`*^=HKR%de_#G`(jjXXF>`H%-5^O@|Qp9dEYz{$^Yt5pd|K}Ux zzt_Y(P(w-*U-S{2*9-&~*TzP}-i!2gt5mW-?gD)--;v+x6{z3WzFKbW`H;Kd&gD_W z7tCB}xhh>6@#_ug7%%Z);0DW`&*xyT7eAqS*k@#%<*e#a8t-(4{OFf?S9w@IaS7_J za&x(9@12n=L#(~Y=nl?Dx`OM=9YQVFeg(muu64lGxIe&6))vI)EIxv9WL_&LK&RXZ z*qavj!Bw*)U+`jW!S%-q*FCJ?vj1QlnV1VMySstQ-IZs;-t#^5>tW;dFARHe`VzRDoyXsD*>3^qPj64_=>FIUt0QY3p>Y{o8hXq>Xtm{L z!ZC2(FB9A;@d4{g2l*0Dm_q!gp{uMtZ(EaeQty(^sW4iPwL^(t&y9J-<|cwm(S`Wb zdf;Zyx@fB-TJJ}k>N@qqe0;tH@ho`;d)03W;#c3qCBVMaBXGz66xKCsxM!o~y6Qm6 z+tj;Qk21K=TyXvw`r>#OtaskD^nA;?e_e{_ues1SKIhlKKC3*qY+DUn{u6}$>Lr_@ zud4T>d=8wj81{?OVK1&fguY7hLOo#-mEo7C7DPNcCNJ{O`tE^_iR=Z=7I%aWOI}Iq zux86E9@+7+6Z042TBak#S!oaHWUg3X{W|O@>7N{f`6j%+8f7`_9S$x}&VruP+8_B; z30E;ra!nO*_NH+H^j8d|{=RrjdG_nM((1@9QQ+)(1=L%4>T8T6o1F%ICwdNa%;%w$ zhgJW8o4aGcWut;WLg)S*^jF4R!Fo6DvEhibphNn8S(MN4L*zGnBXoGBs_3s7HDIZ= z=V#XtFF6M~j^FY~%f*sf;PRwD>Z%DkG1hW(&<%dsiCnPP+dsClT(=wxd$A)c)g$}f zdGsL+Jhc*yOVKF!b&`T6fLEW3{y0M@9^SdoT>G5pn6q96E~dObxPW=0<^@weH(UT$ zN%N?lS8NF`UKb#}8^=&@onrprYEcp7*_5wDbvWQL;xt!hz@85-ig9H9zl1$+8%{hr zcA1Tnop=R%z5EAoGrTwQ?;KtVduK=l@+_vuDQnM1btAw19kP!q6=k_|PJ+ugijz$Y z#X98$a_UB__vn|i{x-NC76E%*Y7*t|+ds%}s&8N6o0s7*tH}u*4mYBCHpcJ^d=TE$3dyFH$_A|IFHimS34quvGC*mJxz@EENT^0RKpe~uKkyQ64d(k`@(4Xq(-nZCyMCk(1aYoOk zI`C>U<-e5=jbB<7tQVa*!Qb}R>3e|qie{)+dhsvQY=2F$ywGPOC(^omo{4#@pFO91 zMmMMDF8Lx4dMdrA>0NtZ?~JaC_0D>hL_BQDE%;TH8igUBNmLr12%;QYhVe85F=Et(J4Z(@CkLens=A|(X*mvJR0SU*msK@?}hU~tjy z9P-BAoFqPXA2|D~bGY@ZZ*@bQI!%&&xmC2UUDyQfgjOc|r9Ed^dzt){>_;9$oa)n_ z8J4qcs}UzJe+vCoUCLAbzut&AO@Z==U&b!zV&mjtbrFwpKZ!gT|Kek;j#H1$htAeC znkVTeao#f@icuc==EA%ZqZr0fH+++6^>oT#@T&uRZn5`fV^!EQ-#!#)z712XJ|F%T z@r!yfl+Pj$vA>8dk%-6C?gSlY)8rqlJ$u!Q{D$l!zjDc1@I_u&r}9%%_*Wc*6sr>mknYlKaHA0$Jtx}{gUk_!msX3R}=Y5khRydyMnW#H|aWj^fJr& zxOl1$^*dAi6(_HXmtT8PDm3 zkAe_SLPy-219Nb7u1uzS(&Y;BC`xqz=QZlhu{x|nBKj+zJVPB26McfM4i7s(eBgP~ z&s*9T`uS$#o<(d&fBD$jftIrkyUC9I2retF8Em;(m;!EQO$FD*Hg)yL<}&jv^)r7w z#zjZHLcdI@?XZ_cZhPuSKx?lC(LT;U#!&tm9H#Xi6p#F? zX1$@K5(@qVoxZ8C(;*FMycPw!Lg%|_h=-m23-v_yc!B+zM_(jfAcFMo^qptz#m&RG z7kz%kHM>rXv|Rps1$k!fZ;?0A<@rkM*A$saI%QfTF7b6lw6!ig*0P*}Ckx$iN z9C6?M;QYkp7;EobqW3A2UXc0~QXgFOZbABQ2NRF$js4x6q;mpq)EhdwM>X2_2j?Sw zudd{`Nd73RFAls!f1FBeH)M;A+xv_;Z4CVSKfJG~Qd)lo1q9 zM02Xo7d$a8ym@uv1@2t8c~KWjd<(xlbI$*6Z;AVQmbRQ9rt^=}wJG9}GB4_eNbUl^ za>8}QBkLDwWcBn%${X8z6*?^4Q(7I_DmVPbHpxqwhoPdQaqsJ(vhCUtFU&TWais>b#(N*2W!No!m9w_Dd9}I&a!=ns2*jkiPd; z*sC)0V9%y?!#RzeruRxwqz&xV>)()1wSwOF#k=AdM^W?=xZIpc{(e|M-1Rk$W5e$e zC)>?wUNpG}d!9)3L9LBM9z@T2nCJXPak8sF6?$5`%&_sR^FiR^7M;ITe~&qq8_#;+ zY;Y9K&woGRy;aP)L-WA<8RB8BM+Dn(mhwDf5o}R^phS&Xdi7&d*FF0LkzmT1-gUk5`k!Q1@6ZOkInfOmLL#@72vEY2! zGH^Y&`ee&R+6{1)){X3aVnzesvp;Pil=&;L6VXp@V(72=@1n1pG!`>8Hj&X51pSz65S+b|;;|?pQ~XY3vuO&OLBvSSrnjQUP=hoRk4B#(qKTG$51W@uBZavcyD; ziz)rzAdl?+$``J%H|5rXYmW}!ArJj>{6^9FN_v)_g8t@D!g#6mB}r#p4Ca;6YruI# z3g&~nyaVS7-MK#1y`Y-Nk39HrmDO>kSIx5ionu3xBQB<|v-jqCW7vz#o9LG)8HYUc z$c3=iZ}(ocb}FsJUVCNVErC6YC`RL6sO~b$`Titud9pl>`)@C!Ef;y-P&`f%8utL# zSj*-6y3kh@Hz6K&@20Zc)E^3aRffLDIt^I_^qbruoh`J!*rvfzmg_=m!1ecD$b;#B zekpWz6r}z(^QQb1{VxXg9bC!p4T$jxb% z>)ai{S@BO;AF^yB=Ajrt6=Y?Y{z?kEQQX+}mwx zVz$0H+8128U8Fj(y(8+3Q*=D}ef|(!<$8^I=|~L@2I{d{*G~HeSImO$_+4YoeiM@R$oTb_&R>Q zpf7uUg?-8#rGANnFQ6|y7Kht@u|Y#gf6$-g_i@%rtD{Xv=u4MOsxw=jC~MCv6^FgE zuQTG&$27jLa^Ifd`dTQscsvw3W@`|*%ou*f>axOdyX=)$Z3=yM;SB6~h|378uXgx> z>)+>LzNy$dn4f&feQ;ie-LcP`72U$2jfbHy6dO?ma7L7DgFbrADOMo={v)m z&fv~JpO7C`F%|or>9if3Z7&0TRjT+b==6yKSKAAN^CPJfEY}Z)k>B25B7SrApE%1| zX|m_9wnATAI65~m8;f20p(7%DQ-AxZAn32AIv@h}qi)Exp%X2a?K5D{&n!=YZrv@Y z1E$GX_~j+*z+SI@xY4#d4=%u7zbt_~n^rGrTzZC+{oT#*%NkUIy=uRh_?{-<(k;(U z_zh|e9kXK`@+oh)VjUUZk>K)UB)C}f9_xjz3Ik`|egik@m1iVo$HTmQzVVTf_=tz)`>0NeafP5G^E`63_RMD<=`^8nWE--2TdogN z9?UuVeOYXZUuL-zMLKe2jayb%o!X7Mn*CoN&@pA}fIBXeV9!RaB>f4iXH@2Y*<^$i-dz$sDkL1*co$$hUzTSat(WjK zSih!r70Sc2omgMy%>79FocJ6=elzo6+{LCY?%@5Yp37U;V6Wb<4zzw{A*$!uzcZ8H zLoR;S-gKh*sf#qmx)#Y*!z_2MmV;k4hyG8-DeU)?FpA&-=~YIUuE;qI`S?bW4XDw z6*{H}eHZ2NDch`$Do6F)+^>ysG3y>q9OVHF$MkAOGDRN9epnV-0ZrGczD~dC_f>Sq2qj{@4eFH zzr$8vjG=R&THBT4+*gE+b880d&DGwEE%sXmJu)u6+t#jLS9dY2pdb*Jwn zJg7hN;P~YszG4jKvq>+r-Rkpg3E+I&dFZeL!F%ENOK)&7s0QkQST`8t&DnPj(C=I<>t%1~bXiON z9bFvp=rRv6e?-CB&|$~v`+@VcQINGa!#9ANeznmrIk^(mjeM6Wo_QIxFH~%oVD0s! zoVwJXz7K2u8sp{EpgOPLMIKgFb|)RLP>TQQGjO@;N5sii(>dIkREpmF_R+ZO z)sHCub)I8=@n+=L8M>Fa=TPXFWy#RzAsfNP(G$xN=jZp}Eae!uzB?us{cYd^zuDh= z!1?&EsK3<~fs3@SN&jZKgVtUwr1PQKFA=}0{x|IPcNCA=>Yi!s)Vm*MB-(tAno53m z#bUiMFMsTh`d&MV^N%+e7k2gp_65`HE%8CqkZ0%1h_zOaH#-TgOI)J)Jgs}Q^2X#J|>YKULfy@~m(e@NP6?bTaPiYLE2;ulp~Aa8teOK_8U2kTuu|B=o! z({s-M{l-C`y-uO?YBO3F`omzvFE@nzYW1CEJt)qtbe>cP@8f*v+@`vxzG#kkOr?XU zZ)*K;*vlTF6zA@|@XJrq{E=lcXgy9j3wxfPbAEo>l=73oLTrDXDRfSgc|YTvqXK5N zww!%W`>cNa7dYEGp_z@7t=LTc^+^FY9>IMqHc7 zWS!-5H=U!5Y>2#>HKl_SvpJ8g41MwVG3Jl@xFF2h^G!MDsB^iIe?GVn?Q5-rV9#70 z!LKtyRJJ3p}jf zZFK%u@)hk1ryq{7T-@42I)gjVyv^HmvgLeK&i@5|pzjR4XySa>S9wJ7AK!~Six2N% z&%(b&{?*caSYJGAKjy6-*^%sL)AvqxzMV|W)@QqdiN^<^-s*3jVV+2bL5J6`f_P;2 zCR9Jmo~Agz4+VDyIM}bnxuURV!*kB(w@2cJ~)GJk)_CdXl=Ao{4 zYqjl{<2DoaX51y%v+#`Fma8}UiLc*Jyx5sA%XO*Vh)2!(0pr4|U6^9~CEABlzlPEK zuah`7)^eVU&Ku5z#mK+&PcZ6?s2Bo!=SC{>AhNEmwf1Tf)nVSHFV(%0SIBSIjpTPK zy^o6nVHjW5@CCT2^5~k4PvokCJeZMn5kD)Ko91D_H!-%IH}V2^(&#&kYHZ>xH<|sw zRk=XSf5smtSk9ho0yif*p})?%mDrbgZ%#Ua<1ugf>gCGXE6bn0B9 zI6H3vm-$0cCq;)v;B4(IaFbLR>rNM;b1Z+{p7c)z&^c`_&42wVFSwJ}gd@&eBPmW7 zZ^X$9y+2~Pu9NegI4p_s-zyyJNH5Fz9?~)t_U3AStUK0(>YJI`2lirUW0jb#Bf>f2 zlr{E)8=pq&EH^ucP`^yhcj@4yIPj}fpJj#IST8K&VYuaN7@ec^{*%yAH!nh8xzvS@ zKK>fq`Lp^eYcKOPAbx%_jmxWe%1_&}#CKm4{m{j?(|T p^Ir6QlI`z+Iw^eU{A}i?(|lVq7~`1z$p8NSmx2Ff;QxmV{2#dnOT7R9 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/12.npy b/MP_Data/pose1/1/12.npy new file mode 100644 index 0000000000000000000000000000000000000000..f9a00a98a1313528bdb0833ec5997cf3afa2337a GIT binary patch literal 13424 zcmeI2_kT}G`^HDF4}w)z*J}jwoy{sCS_l&*5nUpJC=(LBu1?78 zuD(QFy^NmK*Xs4jTzCG0@2}s-FXwgMbDitH=bm!rd?cpTPc7R7WMU)PSkFFvhxZ=l zS&w_x?^nmOGWYB^WLU_so`ZV~8P=z-Zs`wr~1XBp1Kzu4-V@J1OZ`*6h<$@Ny&3E={)!xSy2!wrl5aKcL<4Luj{R zB-;6pInl0ie5B`h6}jV{lLzC_uF`T*duM95Bb(iF?VOE9yD9q{+U;TTXPNijbnUEi z62%WrruZ$W-G+RPb{kvoR50l@O(=8)l{bVx>)oL$7M)n z^xt$kc*V7g;EecQ7pQ+K_L|d~2!0doE2uv9MqA`BMqNj{+VKSKCMu(TAs!h(Jz2lE3aXC*Zo;D|eM&=0v*+t$GCa(VvdGs~X(mHFWE)*c7Lm{d6<#SO1Cl z`fdQ8=UED&U7x9c#yV}q^cwW69v%uZ6 z$DcZ)ePMGvFHfKP4z?`|}3oo2ciTAMGvP;CXX09PMi5jkDmZUp;S_uGf9rQT`*dWOdK837atP=D@k^ zPNzTZqWr()XxHZTIXpkEb~bnA$zw48RlAjFmkp+&uJ%r$lCGU4=e_Q(w$&bLAMwwD z6vww8&f~Z!oFDU_FDVY4T(dvUwX44?g3DaJ5MM7ZmFT!k%S?Jv_o{nd|FA07aqD*$ z>qMRQxa7EM)qWXxR29bd!j%a|PCW_SwKrrimDdnfW^<;R1Yzh7Xy?9-Fv6SxK3 zPVx?NK1}=wu12L{9Qov;j{hE< zWoWz`*V{*9r2Ehvuqi#7?fU0hS+AjVOb$Ok{Meb_?BRrnF&>IAs0 zu@CEu*BDImZE8P?zo*jz_&od$oE1C_&SQE&&%T`sZbv;KpIW2AN37pQmLAr6%>tnim-R!>OxbB z8(kUW$S=iE-JUK-9psDSv>#5Y0Dp7nH}an|3vuQC?eGzvpP*;0>>SrG9<&}@m+1~J zs)k|y7%v}+JGIVf^k-nDP^UL_eG!*mKZ5t3y)~zwdy3Gy-FRcTyQ zSDHU1eeu3!1y`a!?D1{HRewZ=xj1|xtrwdq9QBkHS7Tj>Vha7z?e-EE0q7TtY6{LO zKLck?74~zchl0z7PpA%$AA{>B&nVB2?J0h~+Q?HSdO&Xmbptm6^-v!*=>zm4(i>c7 zor(Ih!}Fo%dxpbbE{xHx4mzj-GonR@7f{l%o!6EO9>R z3*@Or%%*&Te^o)y6bZo7HGKK~2OEB?O7`K!<6D6Xmr zfA!<#nW%r!(%^P?6N+2tJoW+B@>kO5Z;Nw|>eUhF0UK18c!~Ppa^`3BSKnI+&N5d7 z=Q%1sulM~<^QZ89+V|okY2Q0b?^E8xi@r;)T*G*oMTN+}TsP!z8^mE;l+OrS7n#zq zzEtp(IH2y>jZ z^#ZqNH{tzjYQ76_TvmJmA2ylJ33A<*_KurZVbrgL`R9Gz{od$M_&lZg!@phvAHH`8 z?Qds(M*cD_H|l1lU!(PPITqt83fDvZW$$AH;rC%6w z!o{`s1E`+u+7J)@bF$+y`!=eB_cP>U)j6C`bmuqV%5x6&clxvm@Hv%4b^do5>SKz2 zf%g%cy^rSK7K{0ya?Ysh^3+{?kdHYr4Rw%Zn}s+Zk@^`vs`3H!SC?In^Pa9*65LL` zggkYDjkBDdwJ3!3A|56nu3e{BIe(L{D)hQpdCIfLy|GTO8f79rVF>(r_!^p@dKvPu zM{P+JtR}SY}6Y~anvei%FFS@;7l#=el z{=E*JY%(1A>mFxkIIjGcz~3}aMt=pD#R0evpegwFz=^qB4TeLs0%ag(N;A-Gz zE~B`cCzD_D8yeqRXEXeNMxD*MU-~(J7VQnanZ6%!*qZnKoxf<=oZ@;6!c|mxFx=_Y z2l~#E+bdH0k+D-87on-};ep4o52%ER-WVY*;w)_uattyQom``_x|*+Zx;sOvXBuhw@R}l)>Q2)0@6)_N37~@ks(V`!$VA zn?RaZlTP7$!spgrj(p0!hTd%MNd2mHWweXSbr!sj__u#yTx8-@I#)C;kGiP_J@Ha9sR)B`QW@#66;s!W|YtQ$y5)&VzkenT#Nei5!K1(ndegHqsv<8^rN>_ zxA2ecU0n9n6v{K{81@sfW+vWWq5%uD z)J=cRvB1UUZ6e?=4wXV);&q#7r?)XV8oLfQfZ!aDT;Z>vJHd3ZS6t(v)^OvC%R^J%CpQi z)Sq{V>+0$t0%?EX+Yf`=>BBHC>Yt4B&z^#m|I8op-nZ@BAg-B^fP7TDjcr_=)yA># zH+MIZ&o6T@UaV6daCRvX&)LmI@&2`S@?f5u(@$vJ{rW9)`Izg;(5ruXf$Qj{3mjL) z--6rI-r(}jFTrgZy+=gr*Oy!#a&VQ5d2XTSlj!$geXkjvtKZ%szIZ$GQE~?6t&AE& zao5myo(X@4_m_Ax0OP`oent91hbFsxWM=w~vyF?R{^oQM)Q9cb0=-x`6nay2P$cxF zD-my45PH2rW877C`rhY#AA<8f{lV=hT92$zS6aVcSjzuccgo+h3j9=!dDzc+FnyQt z&>*}=jOZBS;_4^GNaxiH`PeSaMmlajhl1OQyTIl7^4OnktT#COrXR-LdW?@i{tsy0 zo8jA$4~yzP$`^I`1J5h3G0@8)dB-?C(+zRY*89=^cl7f-r&np+;IC_BqxrKgE7k?? z*9QG!xmsZyS?20kr+VmQaM`9a_BT~&OalA|{{Swk$Ajx$8{-|u0DA0bA(1 z{>L2P_H0p_|M8bbIX%C+0{KWk`u)LfJv0UWUw=<^2$_q0+rC|n`C!-oLv>uAp}$`b z>q}%?56-rHhF&#{z_{D#{lU#ItuFYwc!OGYcK(Vdq5t-C0QJ}7LY!+?#n(VDruD}> zSC#XQc6xr7-WQA~(0XYx3-2Sbumkc`8|Q(u$dh!Q^jQfmI`jbNcXEX~A5rBl@%R$t zU+Sx1$K}`b9U&fEL7t|AKlXW@oqlgpr8^@}Q~l{0mnUCB=YPB8JnAnJFJax;h8f?L z;X|P3YcF72S9!%YbN$k->QLN~ z!Nikh_e6a@bS54=m-wgDv5u>*r)a#gpTfM7ml|PSv5jlNr5}BdsC}oP7tL#9-&5gv zP#^Vkz#`{kDtO&-@r92!`Hw5H%-!3>`p~n&hVuXIhXqbAn?*x!dPJUcI<IwOFqAUg*xc+VRRlYnF!9Vd4Zc5k7qc&s92ct-%uBvwJkBP`7~$_c$HQ#ZkJ<+lP{ z^^OO(+463K&;ALN&v*1)DK7Z0hTii!`PaRQ{X_yu@223rW3Os(TVOc2ev>=I`RMcA!DT4@er$HeL^y6H zk0pKTaq^$nd${9r)KPHJd;ASwr`y_Nyt~@&KY{CdT`+%ijTcxK%0q&y6|2xMG5IL1 z$CdQ|L*k;vK4#{Y!MJPxAn0YKT$s1|eYO71pZ|x(*AAxtH{%Vb;yoqaEFu5ov+(EL zDo$~EviQCw zFH@awH$q(Xtv|)Bx)ZKXEDOk_?B!7F6!JQUUDqvgQ~X|+}?Z+ zA9go(BJzEiKt8k6h+jND68UEiqB{Kg@|?Rj6&lCmS~ebfvtl}pZ-d;EQqtRPup$1d zFZ#>MvLL4yo~hvMT_SvRqqcn=R|C^X9~XSu-SbCYSdYegB;vB7xhd}Hw~4M@es`Jl z1773%PIp@ziRUKFfZhhoqH#Go0D99fhWN|^;A&;#4NfnX`IFD4KIpIb=~Hxy^M4%- z&c`Tlnb;Tg6#eIb>*Xtm=SjwSMjZPYTppwU&tgUTQ2kGD1XoSzcTqVdY#j2>sI#n* z9qUC6Z13;5nzexR>MH#CfIcC}bJK8&Tc9KAY+~!hxjfmP0pRT70n#7tGsJPTwFS5+ zdx-eHe&LR*;-2JRER}e-G^`i-qB8lnX@z~v+|N4E>A5$}TT%Tj^0Y?+={q7aOV90+yq=e{^GR)H;+Gp z%g2jHI3HVg7PzWh0sib-E1dW2r#Rwkdk{a+WEk{w=rE{sN8 zd-^u&DZW@6=s3$3K-}{;=y~!0#AOHifU`yC5SI;J=i~IsJ7ZmV=Eu5L!N{`xpe;AI=F30x{t_5<0v8?V%$Zkx3P}f(VM6at6xHIo^M*`{MfM3;5r}^)!*xP z_?wN5Nq_2la9iNc0;d<7E$U!)RsiSvJThcaOoX92adf&Oe#z!rz?k zh4o_2`NBt?EQay2BYNY!#LG@YTyc36@>jhL_FG%E2kFZNV_op6IS`l4XiEBWbWXN8 zSItG-(L=!Xf!tJwB|G9>{;V>cyV$OOXx={a#{AK%^1$Ev1Ym#DRSIMOw*l+GO%V+r z(K})r{O9xp=Pzjg5y_>YHy0L@PwzUYvncd_i_^>IG04ZZE_xI9TMyuUDtmrI{6fb0 zzjx3=m#6Ma?@bxojOq|oD#$%&v&O?;zFLa9>GvHd&rmuiivjd^X{w0CeAAbX!(X}KSa~?xI)v4x5j_cZs!R4RyJFrTr7wx!NmoZ*B`y)@0JQ3rl(%M09 z`gWlFdwmJL8aEGl>W9Or&Xc0?-N){c4-2B-kwm+%$>$}V_hg+g=uO!fG*2F!rhH1$ z@1=ID?@#@Ch$r1cxxF#L3d58|w7tMKt2_SUN|knhjdJ{_5Z)aJD|4(@=?V?P#?2knsaiq&%cFzeP**HJ)k>~!N5C2CeD9@lllxJk(49D3z`W`fSXkOWxe_{Ufsk7n3 zH z-d3XTbat>N=8rN-n4e|{eZPoa*Rk)}ogT;nJ>t7-g9q08nfb$~7(O;D|6Yphn!w=l1`eWXT z4ed01>JJt!Bk5=7#(7ef=}!7Tij#j1 z5BlzYOXnZC@*46~SH?|t{(8nB#1(<%kf-r@v={jY%!H4vzY_Jg0hc0E()FfrM{xD3 zC-h=AGAh)`SB+-zQxOcn@^#{ zCoELH>HadcH2DmT1-HYZx;QR6(7NW&@6x_hchpkopEg0=Y<}9WWDC2@@&En%Uj_bG Jf&V8J_%9bcP`dyC literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/13.npy b/MP_Data/pose1/1/13.npy new file mode 100644 index 0000000000000000000000000000000000000000..9ec09b984e1a1412c306f17ab3cdd71eaeb75725 GIT binary patch literal 13424 zcmeI2_gfdo_x8sUD`1Pp63N^+GJgRvwEB4CSkFjg!ehzeLnr6?APT`Z$wfe?+o zM8jBO10#rC(N$5SF~$Na8uZKDhri(Y@wq>h1Mt|L?snuw-f8dlr-$}#$14oWByu0s&pizZ9XsmC*sKWa%TeWZB zx@qI4)=caF^e4O}l-F@?-DqkNCyLOtkB!kI}BT zP`ge(^~gMDfAD-@uDWmZdGoxOK>drx%@MbLKK-F-7m+_)HSMbLYs&AH$4?CB7i-ac zq%1#e+O<e;fu0PDZ9yI10 z_=&@L=BgeAW~UZj$R_+b1<@Va9 zT^_jetGQP(x2XTJK6qZ_+_;1GG2dP^?d(aDbaSfXfj{mbKd)z)VTo{J0WXRf@f8$JI%;{$a2o_nVn-^#tZ;QsI4cwTiW`w{x9@3y18 z+w(SPcWH*_`FsBoyzn{QJNcI3a$Ari+UxGe^Y(*qYA@F~&2ann(ibj;SC-?7=f&x= zC3)ek`r|z6j1Rf?iP5pKbMQQ0QjgkWrXru*XF>_nZUv8|_4io{+AWXdMEJi+s%5Tf zLlV`k*KcSSZho1m=DGgG%9(bVP!07j9~D5S!lPHBJ+=)v_w+&kazMF6aEEf>BB~+A z$qt4rH=O5Q$2zg|N@1O;DU&uBZvWe!dEI~{(S-; z-gN}ljhK}jXSlWf8rFkq*bH2{Pn`|Da^pfFxM!9I{ zPyJ5*-nTLgw@zOF$#7YU^1zl2xeb0|^$NqaQw7AS*KY*pcMFyp&K8!Wan(Nx&Z?%w z8g74E23!_<1TKCK1Lrjy!P%>3*pEcYF^r2BIFWxr6gclJ;4fa51-G*vgIkw}#3P;w zFDU-6-H;F7scNL*qJAUlw>i}tFVkd`;nrujNFRC(^C%vcTWh#lmPzAj;*I>+=aZJZ zn)u7E!+xvSHRM?zeH&)lb(QEPbSZWKKUTx)2BkfMI%1V zaDMe7^g3?~xO54hWVqeM16*8vfO)j`9G-8uc3KK96LP`z=uYrwzmy^VsQ49E6W^P2 z&|C4BsZN}_gR{;XBaDws2?b}-j@OJ{hxS0fvfdN;==5il&)_4-Cu{y2?(K80;G_2i z2N)mw@h;>|RoRL7RnNvNjGtA#7W6WE5%CF)`x-7oR>NO>=Yag{6`3){hc`J-^U^L4 z>rRgAw%Tw#BZGKr>PIh%!1}UROa+(CJ<-3u+j^DJTVuZg*FL|}dyP-Y&2tkCm(Fj&t#X8b>XB>kM>r@+Y zifP?qjgN@mN$YLHOT52idYN$7Le9$4Ie<-$gr1j+L%-~1I{Z~$8`O!Nnh^+}^D8Ky z7hU0}E~O!#(&0YxZrwYBtImtWer=5#PvgxyjB(k4)v*uTw>Qza{&_}x#;=%1mi9ON zSvNQGfB7r&$#0Z^Ufpg2E*-mJ-_rx*FkZXodgMXB8L$v>4sS*N>-JDS;}%lC)Ap0U zXCCzI){Ho#*XvWjrF%bct7847@af!v^bJ~Mx*A=nkXhiZzeT@t!HF!x?Q>OVy{F8C z-s-&zdA91VK|H*FQ|Q${{gG#DNL=J;3eq*N8g?E;Ii2*$~Qu`yI;j)|=q!hj)mR2X#dMd`w@=qm@?^ zdR?OnxRuf>7ICim1e~eQ!DU7q@^7VXAbr6Y__IYZ3jLlLLi{wnFRb}V@Zr(%Q<<9a4YmQIDb44+>TV>{F*!EdsZy^Wm{5-pM6R3AKpsi+Hr>bqocuD{u0y` zznuoIJzIba@2i+!oTFl? z|KLsj*XF^WJ!%iGV&cH<9cknr^%D8l-(+E*4cO#0k_?O^n!%6JV>fvE<;p0l@oZ>BT9U@gU%e4^n1z5V7jeC+Lk&|3rD1{to#&xD>A#9uK! zYM}Q_!>u8l@*EHcAKA&KIu8v3=U+19jkUXt^<}MChIy6qS|R^@u^0uv(&H(fY3;%7 zKN1lq&!+Q(l@tOlt9FYr{fZkyD9*Lrz}3ca5#VbNfHRqcc!aw@&PBY|f8eT7IGr~- z^p-}?MKb02_%e*w{-Pi9EJkaJbMqC{gFWRR})W0Yv^Uknv~D?Y^Kq(YGuLg z6$1Y9_I~WotcF57VnIpxh!!&^LVtJ!`Mi!s{NlpV_2{<`ou`#wHr9pw^BMYOFJB-( z+O;u!bXc$YCLU|lHtM%_Wy-^6&1qaAGpHWg_oDtceH&u*EZ-aVI${T|>R834hI9Xe z7_Zpd@X! z=WShWCgr(_H#oaV^TPAT!H->ff%#>@*Kx1!4n>~%;h`fD{{UCylcy)69~L)cL~7x9 zt><327yk|>z9S;o=y}j>%4gG}bA48|Ncfbb_pIIbckBb~&O+otoIMGDCbp1YdSEA` z*RgTr+j0_(E3wpc)35DwocR9U;L^3cpW%Yv16L^>!R??U!@<~_?F8cdThJT-V#6yP>|Kc;$vz6Nm+t$$fyw_M+Oq+qqgT;)7%O>ssEN~RHwfdEz9n%L4>pW4ak95w@E5t0iO;~<>dRA-!xXPpVxYhdnQp4?pIpEAG z0OPRFxl=qFrh)Tg=~Q2Vn~;CIZ!hw9>VWauE@N;WknVI&(8a1kuZph)w+>Y&y^j<5 zbWX*2Kus=1yh=WeBg6yyytU*A#;G0Vg6ocLz~zoW^e2ZM!+5QFBak04nZEm2_9w`v zoi`r)iHvCrfBQPsr?|Dy7vr5!9Gq18nguGZ%abY7w^Wr^S$)F&&5q}6+8i4Y<-I7tzPc5-j`It`&8{2L-8M^ z{nozYPw$ISEx`4KVR(|j6m+4a+cknglm50B z>Qgjdi1<~jH&m|!wo*K&ew%9Yt-a3TdFC{V^mV=nG5$KcEADkl8`KG(eS4YFij1>g1Tei?APo+Ij$?XDDR^z2F^%}a}|*q_z+4yXs~QqlYS`XX@I`XkQU z>e&m7S7s-Jv!U_GKfn1i<)K6Y`TTN?ey?yCL-{@ZJ@$E>6=S{L3+!G%i_<=M9{xSAgmhVl0Q z3tVlkK>F@O0}ag68G$UF!GyO*Fq1Mq+-YrzW58{J{B;Bj6Sr z3aU)LGcM7s zBRG3Cl6cpZBaM$8OyAvB+X%|fmI^Zs*H1F39$Yg}S9Zl4sDEZrJ?ONhRBzp;&q6#q zI%D6Htv(?C`pob(hO^R5b6kyI#oF+f?;CC~_bmK7=-C4rm+V;w`<@lQ40=9g#3iHS zX3UEuWRiE5132(PD9DR*Wm4js|7SJ{a9l^(JedAFkCP3LBDpftJueE zF?ngK@%M5C7mt@=-SAZ+)^HUtADsKqdXkItqrgjSA$_Pf^rE0_5PUk11eZ@&7x`3( zG+aALaQ(;6;QGsnf#CDfiF*&c<65Y*dtaVyt}JdS@i9G7|1A9u)&+Yw2Hg5@6~?6s z4q`p39W#&zIs63eV{;o~-ldN}={<63KY1E5#`x>y+rd?=GyL_ndh~sryAhl_{SJTW zcPSikejEpXbzv*z^RFSRj1QmJ4|;pwLE1MmN?^V7?zL%NW;xS-`*q*>MlYfVkR3SHn_M`Bg@>|Nwao<*X#;^9i&MAvIO#GPoE6VW_hActdkL_PhH~`#hBKIsB{ zR72-^#)nN$1ebIE0B223PBWalOrm}lT)Twv=uQddYBkwF`iWEEFSc*M_lW(=3G(09 z7~{1+cOPf;vS%hZ^IrlVHMZAJ@Ei98T#p!-Y3{k(CgjtuAA)}6zfX`)@$5;WX=e{^ zLC=4*@qMS>-HwF+t{CXqib?2K$M{1pd#xZJuV?62HsQaZAIpRKUDuuR(Cuh^s)_Ua zY2a$2Ab$2?l;QmNGV1q6(RsMuF*?s2q52fl_nm$(?oFQmA#RYrIdacPF8@lDm_C$qQK5?6oibJ~Q`w z;wAjRt>bBQj{2+%xT;@;_JKJZ=N3KpYjFM}{f@21pTs$w)uI2-AuCe7>DbMPUl)&n zUVKude;7Cg<7yKRt~VE>eyi7*j&WU}ys7bDgUiunCmSxSrjgJ30PK@;XNgXR>qdU4 z2fb|x_5sFIeseW^ay0ZTgyNCcllvQPZCy$IzB!M)iI=%<;Lm!1E9ZJRKkGrcSYN^| zlJpbl?;uvS3e!x#c7AVg>-T)jBddP{dLFk4oOutW{ikf(*~Xs@&nJHF3b<{Lh&Ehj z(EetBQW-ux!ykFDM!VCvhE}5AJ-!M^GpsOL3`-d`2QpkMCr;4u8x6rC&P(z#vuZk%E` zOIrmW%eJTvPdM~Lzy4hir`r30=H=D+O@^z+F{D2`67lmx8{<<8xm-UCdfwBG)=_9{ z^vi0{K4X8N|Cgk`2u42nAHncpo8M8ME3Hp3KH_cBxhvv0)ve#dc#{QEMokaqOoaZSIYiYm_WhRggw_}Im~ z5vToBU>@~&I-iKX99&FzLG#;XCE`^5==V>q*3oxg3i;?uTd1yf{e|xf+gHJ#g$ICh zm;U5m{1V0At?2jIKIfJq&bFUWo_)fgSMgCR4cBKZ%8yqH@gD6G47dJV3eL9tb{WrS zW*snBHNF=4Y;i&Sl6A&DX0P8&{qFpTdbTz-nx0yy7a>vLmgiXHU&&?kKAq?VuJg`O z{m0ynh2EtE{MBqPs^4q-FGr4Tc585D3n9S;ImJt`m%*7}h+Kkzn1-=Vh;qhDUi&&Q0{3Zm}?{)oO`tad)aaCPSZ ze5?riT~YL!HyZkhkHPJkbl$dRbPa{RIPJIg$)=bu`@wk3ixouYC_CUk)C2!y3g%re zZvr3bup4<6$qsXk4{z8NoZmc4_15s$MTXnKbpFu|==`SZZyE^wQ-7+5Vz=l#b9^V( zopro2d|0vV@R4IHk4rWF(Nu5Z(J-o$@jJbYkEq?8^cVYJepPvoWkzp5^aodc&tqTZ zzSHsEQ3Yr=^R!sp~u zHDtEoR$41sM?b8BUbL>Zz;HPx7kZI2mDWYUnJ~k}ZZGIrrUsYE_pz?o=icP+UG(>j zttF?W7V6oiIpEr<9rjxh7ChB(>!JhoTjv$(N64~n9{G%ZyTK<^1DE%L zz{RbxQHJw2!zljIbl%W`A45$1Z0#a&QKkX%W|geE%5brfewSbi2Z6Jy)3MK3&Qw?S zx)jR81hwAil^RI?d38`fY=3R4&q+n!FOSb+-?J(tN0@k2%74^vy+gDgR+@$U$hYli zTrL;ES^s>zkL0=j;OtZS9Y$g6DjXJ!>P(S|({sYGh@be$yV|n|5qsIH>@$th4j`hj=T(f@T#trJ! zs>7%8|JQ$?GRAn5R$1*YCoG}lhJNGI$g4#oe|ZtY`Yx% z4(-mM!)WKO1JEw^RY5!RqjuJ@%pLfYQ)p+0zePJw{rG-$kK6FA=Zkjr9=gVPK`mkS$PcY=Fhi?&s}PwT_v8U_)m}1`^nU9T)#zp(Qr~GeC|HEkdf!dmXN=6 zO}uHjtZ<9k7yWwGwyW3lzV^;U|K!F+*R76~Y*vUu^_uvXZCB-QqTS>)KZo}pR5)$97n=YWvY(B| zf@AinJFa<&XZoD$wq1noU1vYbyRJ{{QxvZH3hkYKMmu|Y?Fjg!u*3GLYGY>$1NlD<+718Q&8WM%Z~*U1pY&N7dA@4P_I_yJT=Xh@ zZhngQgA{N(-80L9%tV}UpZuIhJD{;-oXU@sgg7$sWwmaT;CR9bc99xs-!%CA6?H9!zJWFpuyKe9}7IABxD`%ggk{|r| z+r89&ugsZ@Jgx#-7lF>J46Xlyk16im7t3tB98(`$`FK$OM;1-A++-Cd{p*V8CoemH zspb6FOIRmnTt2KbXGEiT%h{fW(6jT4Y5%ELJqiBDz9pZK)zHg#gA(9V@jm%9`UUI8 z$>$kixoUmhaktNyy5Ow)e-kWsW}PQ})V2$@-CS_ySZ-1;f@_s}-g14p;5^H@*aOZ& z&td&AU8oQA*GnTGakcXetC!2aL>)xo5|roqNa9_BqpY5V6##cS{sykUYk)k(<4?%v z_bhPn?m)QJi$lf8XMY{6Ytyh;q~$84IJl}h51bcRvBYvYpa}75kHMYHDbNd+P5sSs zr+Uw-Hh=PU%9QZoVU0_{e7_qoJ}aT(sFa)F!D2A-l&hP=NIj6^Z8== zE&DV#E~C!+r+=nez2njcTo3&RTs8Kc37?q!1fZeScmp{!8L#ea*yjr<3kUz`Acp$dSjBJaRe@Ke&aKaIFT zx4!6}_dfsSY>4%dX_JVrFL@a};rvMW_j(8)R^}nvRp3bYs9ihhbBE{fVfS~8wtADY z0d-T|w0l8(m~S^=T=c%Ss3$K~40;|?66>9%^`2|>Dw^_Fg}mV}b9SwOf1x_iJH2z@Z+rt# zAAO3(MRcz~`bz^AAa1D#lxOxn_>0{Gv7g8cSM*EdW@4T@6X!)(z0++k@|6A+kf%8r zfN^1?63~CK=Q++V-RzIq?l#ZuKT$qyW>LTVH&A_A9D~2gtc!V~>h&3i{P)I!>w0a; zZ&^v`P3V2pU4D9u>i>7&MC;FdeBrOwq@rJHWm)V$PQ+@88}JZZwBAkQJ13j^mEIoy zvP-ov8&}pYN_ALV4_rm=MqK%BKKkn<$Dt1V!q?C{-u0l@J+{H$*}Z_`4&6rma?OEW zHGLb7evMlPZVvzSkw;?wus!ujf86y9`t$46sa9{o8zL@C`{SJDCeeGi^)4)MoojW_o`teq@UQE$msHfTS2&vT^TSseA$2PcC&$=6T^-pRo}&-;Erp8A5IdS?8Ex-qXxHJDNLUF|ca6RKV?GJrU zfQwK!a5k(8)nOoUp8gbZc{$2QUF;3LQ>Fy@C$^2S{ceCa(3_-Q zq_6vaiPan4lziqc1=oq4z@6OZRR3;guusZLb&-$Km5_(1R)ps5m2K2h~YEymqvmWKizkFe=ck_8|io3fuID0W0W7fN^54+QvYh(myB7Yc{g=2$sf+)2|G9b^^*Pcp$oh!* zO!%5dM{o`r&ow)tAHEUiuZno~tL4rh8edh zJmvPYlz)pLa2b*x=a)W3_aD`(J?W2CnQilt{yR`-Rq+n;(bX!^{pa7;RR06Bz)hvh z8CK7RCsRE=!qH#n@Eg=wyxxaArQcQL&;2U?Yrh|uy|jPw6QQVsy8Por__U*YrgEqI z9*>U4eNWt~41c}*IP%o>chUG(%SY>_KrG_&w7_Ir2es-u=;evBl>f-DgW#WC7+ifA zK=bfYD$WrWyaM&nj|#v?lpg8}{U%BJKSHVg`x4_US4{>Wt_rz{b-@PSqPR1jpgyu? zP4d~C)XL^#swTn5v?&fBHKGFgW#-JF@tWHSPp5k00IQeJyzyB%8|i6OBzVDH6nDYL z`H;LR#&Z3(7<8g@EUkC93iB-ICu#qZPh3%F{p*cz%SGAK$df%2^!(?I%CP##_sEl% zxs3YgW%pt&mpQj-+|!3p{{0_fU7Im(=&u&71FgSoR~dR|?Kp6m)^<94`h2`^ zSDpdRdT?;|$c5^BVhr-v<7;C6sL!tAv+^29`%-O}!PY----2EaO`yDLr21HYRir0A zvmblmY5a$cw|c(Fq55Qg39i~?hk&Qhxud*x(LPhJ8}iW~4$^o9uYz9hDTD8|Z1h6% z|IH8itD%=C*|>5V{ocdJb)z~Aoi)sIzU>CZi)jvSW;|_Txelj(Ii-eRTzGxi#pc8E zr;`6COKH5k@{hH8XZ{RuS>tEYe-RZ3pZguaO<)&rRo;Wv>1h|z|1cU{PC5+Edf%h@ zG$(=l&0ZRp2_Ns@-A>Rw(6j6sq}M%G0`2 zg*SloO0@SWhQQWku4p<=kt=vMUoSD%}OJk2jjb8K9Z zkd1td`W;XCq?tGJ9MO;JFyaHa^jZtFBW1I|ssFJUNFt8+nxCrOY8-m!x%WPb8b}{)p%%%0+aayF+JNxOrrxw>jzUEYQ)RXU-N&1EU;7*lz zE$s!MWfjEd%{DBAEE7gW&Adc*GMc57PP#O{e)ec|82t^L(^FkIAI(I~C|Y zqsAuExK~R5#nwSyeouAWo(9hM+{JmS`!}FGCs01RZVJu?;q*pa31Q%y(s$UZ0t|J=j1+ukNIyE^5H3y zFmKHO8h0L>Lj9Xx3g?$7KOXO^PfLNbhGw?SN9LX(?okx=XSG`_v|N|i1I`ah=pB^_ ze^Ip_xL#8TdVMGZ^Fel^?|qKPRT{?vi8N0JKEeA&dt$vi@xjQ)$sUUQnFsB+!siO& zO5eIvx2XPC-1G8K>AjaApVCzjS2XZ~pZ*~yz;aPB1l(D*mhw!wPv^xecW|}3C(Zxz zk(9sA#b;f69r6(klPB6Zy5ygDUsd%X{n6a1)}Kx3gwN`?hL|TRbxD-fi%*8ZU&g;A zpZ_wkUgX-Il>f6<7)M#P9@eQ!nGdcSccT5xcfxAqUzhZ1?E-KqZ0szZDzxZGU@>xgf7jQ$Fd zO!~e%h{sbMMcZ6(R{Ry!ZS^3k`{$kMoQj>_-}>vYl~k82J?Y-HVHEZ&)t7us@F2`{ zx%=xW$fw9Fs&ngD;t>q%T`#6{SzVkD?xcMW?rce-eogcO*BOT}F7o6Z;zj6pEm0|S z9Q?0*f%=%HCy}Q(UK;znSdbriifNw6lRy4ry}PZ?dQa$O&S9#*a|Y|q{JH|1SCh0J zs~p0(I5+6~qmFF@y>odM#>MQs3B7h(2`)Ph#rPV3`X1^u@*zHTH@K|XpY%LG){FQo z5c{z3rr$Z8gtgGC4{hikIF^3rQPa;69~p>z+^@1UP?rI>_o(wdPs2er(mh z7#Go|dMtcmYu~Y4xRrrFZxa-6KdTX~Nq;68`HP2jVys^KMM2Ly_c{+<#Z%kye&kZ< z)xJOBqvC%Hw_JYp7dRh&5uDvyxCHvZ59B}kF!d|tuVt1S*M{&{@qNI}qHWr89XK3% z{Z@m^OIH@c$J_!p13u7tsk1A>a%XxHxKrB&b_e_x%ZxI5}3Sk8Q6$^Yy17zcjk^YMtA&;)uJdJjG(bIfY^yh#9O z4MtGETDk48Ttv(SS4-$V=Cll1XSuw36aMP#ZtN#=nQM^cEUX8(IeiHGm`*;oBqI;= zS}nn)TPW5IoBjyBj#Cr<=Y zeX6I?{&vv^+xHgPVX<`15`zLu~%$ z{80Ft3L0E5?hs>rborj7-}f8s|JR>rt7mJ=Loag5(7w99&pgC!(TDP^)B#+S{t5F( z{4@hx#T7qib1 zL#>bg&=&sOHD^e8T+@SBIw3z3bS1aCV{!`pduR zG#c+UIt6a7g~CUl{c{+6X5J^Cik@feXGesgo-8MT>M0%6lRa}!vh8}=74i?egztCG z>P~Yl7l#%>&*}}Karuy%2>s5b#P{AtTv2}ECd*}g56b6<#^|qeswviyj-Eg~){E*B zR%TvCp5E{X%CmeBxNH%O{nm7(`RSC~h&nhg%TWDeH$P0+8S_IHKeKU#tYyLqzr!ewY#b%QKi%Z}pH3i?t zMd~7Owmd)WGrY%C^fxJneCGZDt|xUKk9>9>A)fAw^}_y{;Ay!SJ_7T>IXa8>ANS-v z?w0SMebR|Kgt)9$vksQ4FP2a~H|h6nvC6fo^>OyLBYvU$HN1cKlL*U2b}+bn`2gd^ z-TMWAZ=!J#RiA^KjkG@--;eX*OmFNzPK~e`){j4U1s{IzH1S1~!z@?6w7)sV1wP_Y z80H~s?ty-((S@)s*zea8t=`190M`ZUVjam3O;=d%e4uk*eH}#W`mY9y!7HpmT<7mp z)RWip?Q6M6=|jB!dRj-{Y^3==XbACjX|x_|4E@pS`D;3_)w8Fk?Ps|#bvk?&(ci)7 z@pO)hh%Z-JuG-H>o+7CS?epaau7ytps+%*Ces^MH`Yf_sj~YPzeLV;Jr*8BP=d7&d ziF`!b6!@@hdob>7#4>Pp=nTf4bvd*&BhSa_u@ye%izCph;SV=je`nKFa3>}c+*y|c zf8M?w@lD@iT-d(vms`DRkOhBJtSGq7Y93)Z_oMk~uI+;lSGQ=tavMzftnnrP&WdJ#8o9aK=1tL zihOjn6R4-|Gag)Be2)BOV9*Nq9Bl+274bXfElX*Q`6ItC4z7(}sSW>_$Ml3gkP z?9-^f)4cm~n zj~$Qt@L|`ZEH~~S&z%MZQ3uts-9XEo&57_=0lSb7+tmm2M>qH${_KmXw~)u^64UHc zRZ9Wqp8uj>qNHz}<$5yx9hw$dKYZq;_14F<8wb7YwhG)#5%7`uX+IQc^t&tDyc^uS zI!pc@UgUGGF6yIa6{I@9px;sTfk(^G-|8Hkor;H^xy4|gG{={K^E+EEAdkr}ciE@T z_wjx>uqowVCVZvkPQKNMoA(DHn9p)j=P4OB|59|msPsXoKW`R?^HhxK2ECbOpjXEV z;~bI47~+Zvol$>Xv8_h@rYFh&RXp(r!7AIwy- z-RfBw-4FGZY^u-k5Y$b1()sS3U61uHT$$kQ488vT+9 z>G0RZ`$O+sJBoFr+l9@v`8aQeg7f{)XnlR&HNt2yvj&%U0Vk*8-( zW`H{bzr%j39=T7lT)2G-pS-_wLHYu(9^FiKQ zP5X=&eeZDIJ*N5Kwi5d)8$jovIJ=hgpEp}+eZ+@g_^5j$uEV!oGdf3Vd;!ji)89d= zb@S(-eb2}5(Oc=hp>__#e!_nVqxu}Jgu01RrDHN|o;B!q2^H@J?s&|`KEuw;g5GpZ zLLK(o+`4qw!bPn1$y4%F6O7cz8UAT>Dv+9 z?5G0HHY;uQrced)&)=VT*tF&F`Q|e6l!FG+JkMx^dEyME`#itY44gk1g!`nkT0$=l zGSa6G$30C&(>;n8q2H<4medgIFRG5Fd=5W`-WgP4ujPE~Vyc@CL;YpO+|UfmXVd-J zZ1TYRV)1;5 zcnsVz*Fr4Ur9Hr%*U{j{Ee`%-Ra0I@feWbE;3&x1?V^1mmTA z4k~xsFa8b1Jxu@qE6)1#x13dVLw%&@A=nXkYo?zyDR> Le--%upaTB~OdE5q literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/15.npy b/MP_Data/pose1/1/15.npy new file mode 100644 index 0000000000000000000000000000000000000000..0f35c5c442edd5ab46eefcceac72453161a57dc3 GIT binary patch literal 13424 zcmeI2_g`1H`~IW0?on~nO{}BUI#Jw|pt$SCTIz}u6{?5>5Jyzp3qcV<@F-#hYpu%L zg_R(-&en}vgE-!fY87`KA9CIN1>ax4Z+|(D^UQUw+_`fnC+CGxJ^T0Q?OT9NWno{A z95rb~(3fram+eNk`mzE4a`c3t$w9-$51kM+a+Kwrh6PL-mB%NI85TGy@BXW%En2uW zsMmnc;Qz1xinF|btvzx)^Dg>$@hkQ!1|7Pco_BR3KRmJbs{0hQtGMFcC_PU$=W!A=< z=>OAmXxC5rT|s;O{P<$BFh1F8;dQGMW=^(k=a=&Hv$G%KcM4rby9_OP%eJeN)UG3P z?%C(e)joId{K)V>ZM$BT@BjKM#I0Yr-9`IP-7eU6bKxb%C$m31u-x=*jeCCl%2C_S zgJ&Ra)@RR2+pcCsQ~P(`XKXwBH}{WRF^W0wb$)*^etQdIM-pfVl8TM)l zA40pV*yVb<)t#x7jP{9z9^>lHU)rm7-*&^co3~Am;J!utK6_Q~F1@f<(=*1{c5$o7 z4tp=%)2RPfZRz=cKSTb+w&Q1PJI{Tg?bVrb4$rev-k3jGsn&kW**DK0+N-LUjdt;2 z{k8PGd)>S#p4T&uWZHJoYzEp@ucqjqec_%4o*jq0JGC;=u3LATYo8Yj5Bu77nVE&U zXG01gK4BUzvs|By>}#*es{o$Yfu}w|zu~KG>6ULfAxL)s&#MO?(ay(sZLsaU%jKqM z&$y5Jb5bW15_#OIavt+73U(=O+ePW|SD`C5m)dGqznXTT$4y%i14N-^}kcbi9n;8r$yFst#W^kouPgFC|)THot^kIHj-I z=T#HG)zBCGgVssgzY)JGx+lSMao-g_PSLqE56z!#vRv2vjN*PBaoPHaBQ4-Yhj?QVF(>YbY^+H&XAD{%hDL~yh9O_b%P^`m)E^%eYe%5!l2$4=tQsuPdAN&G~8 zROoyA&^}z~IPnrMW?1fcl?QjG90O-*UNbFMwRcf`y@rCzvganir_vGV zS)B#Mr-hBOT$lAGo^k>6$fDcKgMQ5da5*doTpsEOe-T=M^mCq(-m@U|YR@UElg#E> zo_W4z^#0lK-!~PU)p<<)4l6Sh-0LR!-@8KbK1o8IsPO-gzU>Y8uunS;w|Z3}4S8eV z()&t&@TI&ZR;GR<1L3bLEFEY27nPR6-?@=P^&ehvx%F`_{)guAK_;!c^KWAi&&R#s zYVr*9W0noT`qFwRID1}^_=YsBQ@*ekahD))`TOBj@bL=;7t3OaSNjMq{k*}A+z-wo zFR!$EK4BllDWa*~=1g8>xoUQw^l|M`Kg!Q@6ZnH{a3^y)#^v-GmIUrU5_!;(t1vHO zU@Z1yR)#^(A3UY~E&jjrt=@_K8eCpz34b}e0P0h@R44zw=i$$LYUIc4+zx+P{UNya z9E&(jlPu_&?^f(5vVL{!Cu|O#AEfUQ)VbJmcZKcO?AQ+e0_SB*6HLI zxL5IsxbpK)Hd%jJ*cblBHy(Ll`_^FpG07{yMccEKpV4Dzza4ZL{fftL;p1c+q`GbW z6kHC!3oeI^Mt>Q3<;yTYpxnCHiF^yUu~v`>wC$GBXf*^`nD4%SW{kzjLl0 z=}WYydD*sLB7DABhk0=_PoQ5F{@EPsC$`giF?ZZBUUSABb;3GL#JHT7W5Ctxzc4PI z)dJjnL+io}e-UNQl>D=M!(aDn=h%Kt|IQT8xUJB$U40@fS1!}Rb!0sGUph>AzC-&4 z`!0&~IUbQ#FCSB#n6Ax{KU3XfDSU#r!iSCDgZ#<$U!i`?_q&LX?FlZ%LGK-|pR3$7kUpkKAo3wr+QB)ASpLHzQ|cHnB>EpS~0n6x8FsI|9ZV;;BMu?b=qx;b3eyC>bRf4RccL~b3|jxk4|kud|?rAT}olR zde%B{@%cOI_rdSTr_9(-^-#$V`;rdMop1ZqgZhD+GcV};Qzi#>qMZ`(F%wU?9(pJC0rJ3)ltVo7$5`@zbsF)Dj(6cNJT9HKaj0UYLu|id<3(D(6}R9$ zs7j9~Uhzw+%RS-P|MiqgO{|`kc|blV`a{pEo@tNxdxS!-n$O6x{%qB$$(GARsvrK_ zB>0#>H{?xZO2o-m-9bHw{nN3&bR~M9saK^a|Lu+jSwH>X(G*WW8R8o~5U2j-FN(ih zADWl@#lvmCj_Hdyo$(yptjwBYIrIJ*T%I{Z@m$@2{F@)2(75`I0(Yien+_kg7IErh zp_CuK1ogxIO2>RS8Cwy*8Wc0w#>vxLP@L&MQXZR!>nGd=#P8n-CBz4u}_rc@@XcGxAg_8htwgl zmh;)g>G?eY$hUA=w#0I=q&n`+uPzvu$V!cb{=y%K(|q58u49_hd2-Mriqq{l^20~1 zjZM$-fZhHKURfaz3mCkmj8n~G)Z*cHXR3& zKIePP3t#q%^fT&`--(VmPwJ|d=)P7H|bfJ)jRS!^1}ucCBFI9Jn)+bsNSmmf_;FueHUhZMC<+FYHS?z;^T#0mP?=f^UvTO zh+hS53xfXnZs_#=#x&j@Bc@ejCeJIoLMNu4O3tl^Z`R0roA-AE(O-37u3n1{u<7rdB|wf z*Ty5?=Te?GDU4SJH(ZPOi%laRCmrq1jK+~x&qhope)<8p47nTypP4@rZ`Ks!aP(-r zms#RSaOt^%>g(+>#A&9r1s6WmFkX4OF!pDa>;kSM&%s|!+e6=RUZ0S@H=Tdf<~FpS zw|a*0@U-0&kLPdTdPNGj>hDcHN9U6Nf&iM2IuRJJT9|_R%saospJm;r^|JX->?gcg zUFvuFGUQ(`Ezr-7H}9NE`3%`ae6=g)g*C5C`Vsr6-#WoKAM#Os(69JrFgUwW9(AIg zjVJx_1@Mve!)V`YNatSub~@EVh`@V6*M1MZ+o|Aog8dI`)d8`;O6CWipP5<&I2Z4 z67kenaK~AM@oJCJcwYYJA=UN9#^H$5E0g9$8>~Cyl?i`y^B2;)b%77htw-NkiM7DZ zy$jH*Cm}d5nMRAj#n`QwM{}_YxVn;!=go>rSnu)_om=$c9}uTXr+rBLTm^cO;R?=& zc;Y=`a#B&}YD8s*)NBx+KO(~wkq(gXKi$-WSEhkL1di9dN6IfPJ)CnK^ezn!>!2a+z1NOs5-TejU z4ON5o6P{Wd^QhWJ;rm5q((e+gq&xB^Usv5={duSM7%$s55nLQ&ah40_fD8F6@*pC6 z;=A62y+yyy_UG7#MaE_1!Es_}yiX&*s7}5nKMlgr?@c*-%ZX{`d*W_w$Qxz2&_jwYYFB5-!9Oz z@aC8onU)H!=DR^}g57Ce&YlF9aZAZ3sR8C!U8L_&-phyPcj6>)ncEF|Rw;*kWI^o1 zPFq^nT*VMCTomV9Q|2P{&hkw1DOI21sX@Ol$qiL#ynadjJ#9W~H-w%K>?oP{bR?A^+yzukgLeM%~4{h@$0V zt&jPk%5B@f8B_xOYM0CL_Fg<`483_2N8{RG4f~;(u@HJE_51Tyr#vd`!gbU<@@MpW ztXY$?!gAg20JzT5@Ha)nA}!~Q9uuFQO8v&pjkerbPJbtpz59T(kX`Gczx6%zs?B2J zLl-Z#oE>M=h~jIfW3vI{rDhGp^uj`0JYB;%Oh^ zr8{F?IM=!pFLZ?Z9npHD)ysn`$iMw2%ma&9^{zbJ#ril8dV%X-$AgOzN9SA4=LHZC zoDD9kCSxDtDQVz}yWO<$IqJ|fdsRW5!A(Xh)Q|Exn7=OifQvTsFfMr}0_%}?^G6=| zyInMoHyqw`E?s)&Jy6 z^HOpd_51cnwDn;NJSk4S5&MSI?7Cz1=3Oz0r$BMU!`p={uzKfcXK-aa!R59Gt1LHL z0>Sn4vghDCAY~h_kxgm5o5P`ZcC-jgw|ci>;M%1v>cnh)j{21H7P$O;CGxC)Y&jqP zPrTvJPQRgf>>t0|a=GG1@-H1sdAM7T-U}7H$w%!0ciN0VJ($d`)bFcJ@OOq^QP#&f z7YVK!(C>{}+@A#hHv_5Pqesu|4RMVDNFO1J9R9c zoAnzwi=PS~^|Bd?Jjjkqp*KP6!A0&y==J2ep|)RV5an6FO$8U8 zi(lHmubMZDNIz>i^~-;nX!Yv)DDpqloct4;t+D+&!9RerF(KqrGdIw3HnSbLUJ(i| zC;mL!av4(z+$l}#*Ni=k^}^bJ0WP-G!ak<^SHwJ;1gcwSK^)e#I9egX`tYT0(90U` z;IhdGX~#y+6h zX6*OO^AY|b(3_MP>NmBJm*v`r-fQZz11<(PY>s|EbEkekEs689Q>w~J%e7Db|5Isy zk=DhYOQ;jsmFC5{MCS)-ULtSKx|QUU;!Wq4R`;jder47Fg3Cd_fh)CSq2*$E1h@)$ zhxkRWAEzOn1#PJQWieV8wLT&QvZUTZlULGOLmdE$9{uYAfZvsd16 z75rIQ`aRMawxTE6$94f1jiaFF<&!ZkHm@(ZF0~W=@+$5ftX?)A0M0i)J#Fuu;J;?r zt0`QL;(Qp1_n=8z90&hGGr`sH&e-SW?QfI7Kcn}Zxcvj^dp1Ix+M^frGHfpPPp59t z4bUGZJ>N5$&N)8mn0K|5=25ObLi66CV03z3Jgi3&`IJbf_e;x7IA`i~dLOCi6X4pr zApCiPJM<>IEat_$Kd{F3%hJwayej1d^r}dU2+JKo>za2+A^)7Qc#p7}K9nE*9k}!4 zDDva9D+;cYf-zosK74_V)8r;ooRJn+6 z)xt(N$2wbRKXJN8QvBSlm-W|W!pJ{0|98CW<*+XF*+%d&vtJ?})v)zs^czC!PPi0@ zKM%dp$#PS}4L;)VKZr-^6y(kP6$T&a+XwNRb*CfIZ}uSS_ee9WBmK;KpY>5sT0zfG zS3tk4WQ~>R_YX<&?7V~cb!0>we12#O9~1lw_5ohJ4eCeKEdj1twZi`9nAcma4{x%G z^ob)8j|{)I3;iw`Oz~XVkM+(X3gCSqFGP`kZxM`3nz1{e_onqID!+!mSmBTNsmh`K zmRI?m_JQZM*V;J6hUJJ~-Km6r`LN@D@EN_5{Er7s2>(qpYnM)|GRv4R51LX zZl-?czoBsjM6a`4KD_`ggHyoOn*p29uRo1TjOvGY)PQN2FSeK7r@UTEaC7x8)`dRY z2|oI59dHq_6nfKY5#|3-2dd|x&KB!0x{siE9z_!G6-etVgYxgV((j^r({JQoJCpSF zeV|vT3nD)vHkY{n1mfS%j<)`+Mj7<0bJvr9*CMg#ci<9mUVaCiE3#epK>sbB4|V@~ z6o1#Eao}mRpPTS()U)#P$Nns$=o~H<4nY2$a%EPe=XGn`^Y^z~^g9f%RvPaSQRZKY zvl;!KV-92_AfARt!1eO=$Ul2=660be+k>-mA{%k+pE=I@^WW=J{FBFGU9f5qJ8ipM zOZhkICdSL|oIu{pIeM?LYinp<@(#v1fu9Y6Kc7SXYJL;wMZ;+Ln>M*r=Pn=N&n9)J zcrw>w9XVbN=Gb^ldVg@yFN1i658;+8-=XARy%6Hm-N!AkoCS;|y~kj1b+qd|%f(`< zE0y(%c;f0w@HsLUdg&ekfBvVpr)Qqtl#C|-b#uT?{IhUU>G$NI9(a#GgVXcmykAvt^D+i`Hsu=3 zv3m7Qb8x+EC%7}c&r-`}_etRDdj9#X;a9$Ox!cxr`if__&4(tp1kJ~FcA z==40fF?60`YkJW--Pxywesau=2tCw7zI5a49*YlruRbDF*?U~&p+>F&Vi5f z(^tysouu2)JJ0=TzWO&_MHD?;UgVA&vKk|4vWO(`%PN z_^=l>XrI4*5Az})G5F|mR}jCcJbktGVF9$hWXEqQ&dqffTkbq54LvKjit1*_!f0QuPv6>)kV9_h5*>QUISe39i^@oW&E62R=Ryd0-pXCRjaN z-kI`~T@3Z3PnJe~I-d0X!XxtkepH~@JR1+cbf0`a-Gcp)*B^qqHDzm2egw*uG4D$u@E zzx#U2#e90do9^AIo|AcuPFv@%#0`xMbi%#3M`g z!#T}~Z49o$eg!wtSLa%Pv(g{&$nuZi!;aQXvs~YqMS4l~Y=RnN9jOaE;8HEydN944*Fj7`;3a*3$BI) zVxQFhtw=wee&-)a$jLtW_w}2#Zr!}m zr;Ye5{(t=|#TauuJKlEBzw#Oxm+h4e+;=BE|037E%eD7T@c@+T@DDEH{?`e&ZMoX~ zFUsXv2j%j81(b_yUz9sPQ@ObR;T`*&I@l8B%H5C3Ur@O-u=_3ewrfVuC*C6eMFr1$ zrrosVGDf1D^}mjC<3{DIt}Dt#%hf1%mi&QoQHsiy;d1~Lx7T2v#?G3zX%gr6ikACKb_{HJ*C}&^1K{>ld<-+Y* zj(yJg=j%UlJsoq>KJTn6sDE%{#4QWIN4YM(^1LnQRbL{%dQ;Jd_Bnp26YkBr#u>I; zH*Sr%#hR#-wp{WuC}(w_o<;e{D`za%!I6(p?)Kzwdlf#FFW7Q+fBaG0zdHI0%7bR1 zTwj@FY`Hp6a})TWA0FGQzF+r+y^852uh??o-ZaDB^Jk@x*sF}#_#F2+VYh6#o-=y8 zy=TvTP(O?BNYAeud>!R$tDm*yqKgN7^!sEyFKg_<_*26>rP*>FzZ31(`>&x~eAM%j zeO}g4)V?cQk3-k84a(VwGnD@^-S)x1_6p?Hm4Vf>^<9c!pmO8;&OOiEzf*s?@gVzo6_^I{M1hZx+{0_yng;1<+^0a<+hv+7tL(B zSpET?*Dog&7Wwz;hdCH$@!^RMhdEj%yglqe$X zeb{c)XX@N5Y<13=NqAn}u7z@^`lBp7UuNt(`@EB0o5ugw8&R$!CdH-abCa~Ln$^k8 zNi?nx?nAi@oS0?Hc{kspwp=f}Nb~bn8g$aFQKBtp&I@qkS_kzrzwYZSH^Jw@<%%cZ zrs_`#;2*6a{qXabtgq8z(rU})xmV!q)Ht+Dtq)jlxlVXM`ZLp!FTU@{TJSAj(`yS(NuY%SoS?huXudp6^wPay7%0F(gz;ZLBfcK9+Z@G!}U1YiLwvgiS z*o*NcmfZERTui+HF3(o}1Nt_Nms!q-ogx3Qfy9@tMtrTl!`EXCdOSJSZGnvAu` zzg*Kh!0OqwHsJd5E^r>&FBtyWFA;}4_%pZ|5FBK=ld~LLg!Bei>$jr6IVSA^7 z>r2PMO+zXh?FRo$p!cP zd(p1sEazF5ttq)6%r2ZZdXt)t@yW`*g1CZCOK{b>8o0@h z0p|m!VSK7XvG5VYeK6isNS%4sM>ao7KIiLV{BW1Jb(Ztu`@!YgDQK5dC}Tb1eCvTc zIC-(?7vq0oHh98KiZk{y)(0`6&3wzns8aA@9jcOl(S$vAf80(U*=O9ams(XFGM`O z6wSAU>*w5Ue4*!PznEVK{?5JO(DTz((U1Jz8j5pw1sZQ?T7W2jr<<|Ixz!2`t@*{ zFK!vs-dQ`qjo-+5s5fr{EOMhpSAeN<>kh@i zP4OJkA1IFebMqQ`@Z9(C0f{;cp`aG5(5>z-Z{1+Mni#q-SV46OrC4sLVL&zpQ? z;IB6QKzaW7da})%bpH!JV&i5!$7ijw|c9nHt%w~!xG z<3r-^x50Jy5@?rmeFivddKujG%7orIlmdTefG5@^c3{#x#IvV4xcTc6I6p9!_VGav ziPtUzAO3|m`it%Eg??o*C(hb-igBBL(cb;5z|BVwF^^2+(le~Tcz+*Uk8Ob zHpJGemmfgAA~OCW_-_f{S-k9QXg1SKOto5&G^=jP+YFFe` ztgEt_^tGIyrE#UZ4x@c!K{dp$?sY=^`o^yq5Blaz%rD*A7wzP?o7O`^ToiGn>)COUIMP3ZYBSrqmTzt;T-9^ z^dY{bCb+2QJQ^q-gE z<=ZKTJ6h%C&(xn8;)o$8n`JeP1!kN`K zINkE_OvGtUZ$^ID+q`7U^`qUC|3h`D-cDt(4)Y}1zx0C$&kjD6hBrz+dETM0;4%50PhQKy0XczMi+Ng*a7{ zNIWNcL=Un)%C7_N&4*Nvc+@~yy;*e<@yM)axN^S=QI^ZYNz}h>XuoDF?_vD29`xSl zWGte%o-}E0^%$iB zK)d94cN!A#Eu6mupKrr!4ZOhSmi)(>^0!HW2-2x<8_J zhW94_u9q}H!i^bvKdND)4@W$@QJ72va+s0=m?pcTHw-=x{-wE?9 z7k_M{dD8wpu1?bCRCmjx3%=Wh9Haca?77{3k5D-SDV|n~X`xZ&#QSN|FT6#igV0Z8ea!fk$=&w3OL_Z0{PLW{Ba&**X|-d`8%C+ z^z3#xCpa%Jf~#UHDc-gFX}x{(3$?4n0&qFy2l%LNVZ={VB7XWW=yjea>f@3AXs^lH zKgGr`;^|zfa?W8~iSZLjpI(C6n-PNii$d?b(B5O0;IA{{z?Ii%H~1WW0?zywqFxbL z5$m~J*c$c9`E7~6>Vt72*U|f<$qayx{3dvg^)X#?$S2(w&#}bXIJc-zE+Zc8{}cLM z;Hv% zMdul`AJw4mA*%Rn;(ye{_-EmCe%AdLg7eqo=sY~F8{#)<2hi{A-NsPl?L;c&E#@HR zov42p{<`>5aQRbn_&7HT(R)(`2JYP4N%OR35A=&#>_htOdFV&pMu4-y>3Ci@eG2ZR zrH9*k)p;6+Jn|LF)$>8no4kVevR1CxM^u?{u~yFuzayU>Zn!#;r?Bpcj1j1pWru>B z7MBCyU%MQ|^X?A%mz5uib(>fF73~*a54i50@9QMCn1^e*^?06FErN1&$i)XfDNSjf zjJOZId@?lI>P6osAdYh`<>&pjC>mHoR4^R(zp@B?t+UVwXk0C1z%C#b2!GW6IM*x`gNB` z%J1Y)&|bFI1M8J3ya;;X)Teo|^SO`pH~+g|Y#a`5Qm;=#y;YkbPBzO6T(>?OWVw7v z>xQ$UCb;as8vW~BPlujAxrTT|(_P=fXZa&)Z}v)X+0cKa<>GZoiu1REI3J{KbI<4O zlj@Y`iV-xP_vd2X$<%MDUs^UnyZEH|6!=$*24_z`f?oYO4*g=rZ3cI$`cwaYJcjz$ zWdZrPv?e|+iFnNh;HsoUe8Z1%h|@KV^p}Id&9NS9ESKNWK4KErkp6=p#A90BL3>q~ z5@@el)NvTvHJRSmM5|VmpP4m=SRXTt))_seKjkOVZw7eokLWM9^Lwm&&ZfQio+GC( zrhY6JOzYvGpKzX$or~SJ_2`DD&@b#?iFo+Fl6NeZ%O8+Wr>|4&y)(HC^z8GQ6u;k@ z<)}ApKJ+4{CB3h?eYyks_miPlm6H)?{)d)G_+HyYKAYEobKkMimh)2Az)fHRxCw6& zZ@KuZ68zP6`W;UH{xQZUYu^QWF>o^JZ_Qq4_3HFKaObU|@gEa}dU;eR>32V%`I7Mi z&arA^F6sNe2IqeS#9AL#jD8(BV?83;@N6&*7ZxuL&ap|O+1|dF3ZvH2+}uaJ@l>i!=G(fi1oxw ze>%l-l~;x0|1FW$u@+n7((}1;A_{|7H;FM-!)zzh7DC z)$vW!t&etTOuT(R@+qA*AH0Ys`J|2lH~r^g9Wx_R!NrH=up89L_j~IviNLT1tkxO2sGf%TXF_JqF<^9NT8wqU$DAAACTzIOqw8^6uRd}lMBQk>-< zpSSfni(AaGSLU>Yk1`x_sw1~!ELX?JftwXi&O!e{=2l#9RDh3J>rd@E=Yc#6?;gar zaT;&ES1+)76P*d}s0q|B2V&=0F6Q=uzx?zz`jNlxw%c;mwm0*(_^TDJn2*}?J?dq9!@UIAR%hhaOaF+Oh{A+K- zx}@8#BEGu`=8MS~FwE+mgVSg{;|8>kHA&NL-f0@z7g|_ml_Pt7pKv@c=wdz%%grWSx1SR#n9{hGoY7KKgIf^3zZ2( zJk9Cp#=s??hb!SMxJ*4p9aF zx8z)23NH6~hg-eMq4}$4bRwQRCCGAl@gC-j8Rw1m>Tek4i&?oI^|G@y5x?HGbtCE> zOZ$#fxfk{kzP|_c`(rxq$$RuWovgeH`hS@0dKa{n~z z@9d*-&ONVFe^uKu5j?eEz3Th~@yKQw&C_lCRqIfkqs}58S=CEhy=gg&^7BV)=vl93 z@mBAw@r7PA`{bI{v9GfB+N%hrew3MS;KPm%S!%iTqxII=^c&(g3;$hVeZ+Vg|KeT( z#;vpY{5tsUr}M3eXoU4muHTG(S$S=ydP{vt<6%&nozNE@4(^no??{2oh}b){meS3EH|$7e<_@=$9$Lde@IHt=PGkL@}R5zi}=~~;X|xm zua1JhYDWKupxyV;J~ieF_16tI8V|wm;;ml9Zvp39JJP)9wFc)9-avtiYCmJWVuP~1 zt={=NiTs-^K|JiVY!}rit25%3hgz0 z+O31W3*|wiv_?G6ysqdkHp!EGc2);B)zlKyd!i{g^QP~p>PGQs_*@F3IM=&UzsLTy z!E)z5`AE+x;La-FD9d@FndIZz5nOmJ1s7la2yXh&cT`?23;weCO>p^b59sy48kEn% z?}*Q*?^N=1M56WA@kg?iuZ0_R2JDE~hm zk3+qqXnoe(=)K$tcOPs0W$mVv&&K^QFUSWX>*vD0{1eYJS!27EhIiK@t5!fl+Yd?#>q=_a_?*)+m(zU~Wf(Xj*KXRANNIg`hA183bX5s!N@#p<0O$CA%! zIzO{dI)854!B{Z)qN_;~cQ-2Act+*IgJ^?v?tsO9|7A@bRB1m_1<^ksnMI&M6T zhY8QokNRz?mC)zVIm-O;8^$?5xf}hif(pS$rzpzvM}D)dUiPRC?);JjuA(O`w48Z< zL;TPH#KZGi_kuo^_9KzLiQ@U;_*%=IMR%}Y$RdI8(N(WcO1FI12>6)tpJSYG*ZYku z7hnDZJ=;+W{VQ~{1j}_9cdFNA1=c0!hA-YD*b!PE*uen!$jGyyRxjCU@^9G_`4?Aj z;{AnvoD8mdhao?r|NhbL`Fd8C))Up{U+B$YuVBl~<+3z>4iBe%mR~p*y!T1?$e?zZ z7qZVD%717J8qY80()BA&yY`9F%9dCv#ns?|9dv{%H!E;tCu}LBmK(1u)dkz z$7i8lHlKKW3b<%hKg@Eo@f`8vk>GM_9L|mU9QC8vK)*MMHv;>S%A@|u-yfl8!u`V;A(7T1Dp;Ij1zZOq)gXZb5tKSyB4^LZ>8!TOZY%zPG68M2d5% zAM)U|4nmyr5`9k-S+n<9J@cjaMB(9${EN7+aDL+h>yiJ5E|_2Zo7DL9e7Ss2=NZ0) zL2pW~)|Ttgs-!PJ0$d-8r~YzjP3?-P1LK&B!kOV#Ud={b7=nZ9Qw|w zOFoA`_bCFs$))cD&g_;LKjPO4;Otl_YH#o?jDP0+2I~gzNBcV~el^5B-(PGgIOk0N z8hUxZvAgBY;4;XM=#Wb5+lFPymh%;Kes+RrALk{GrC9#ozyD_7zZv*{l7asLFxEOd literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/17.npy b/MP_Data/pose1/1/17.npy new file mode 100644 index 0000000000000000000000000000000000000000..263ce13db7a658724a5aa203a5693015cf7ea27a GIT binary patch literal 13424 zcmeI2_kT~x`~Ju3on`InM~&X2lTo6#D62#{L6jxfBt#m6h)xQTkjRASk=2*AWOi9Z z7laUNNLFVz5p7xdWUf1Z!S~1Sg&*W7bYJ?EA1K_dnZ8C`(QWBv}4-MuDx zI&`!gI!|fu(8O|>GTYPJ({0v-*`AZ#4e#YP)5|@Ndrfnj>(t(r7!Vg*|N zuYV;NW8zNT45z%S_3}uXx$?2+GLy{x{x5%18YG)gn&dP#oy;0tJG+IIFuJimwh`H^ObTNnO}a=vrrO;fIBy+?jk@4_$e+=K3v@3YXIBTxf&ee1~flSL8=VrkyeO!gv2^T;Fbfi}Gh>kbgb%ambN03=x9Zir zYRZ}2;exr!xP~Zan|nPn<@Wx?#|`JbqLEkK^>=#SZF!I>m-B;1qI^ZhU30Z^-k_ZO z%v@{kMdfc?%vCq4jOQ)K^IxD3tadQT@D&-{+{=;d9oek)Ugs<0`ErWJ?UtXZ z{Jl#`l6kJ1gul9?F}``JBhblJ^EaAutJ)WE(Vz~+f4OPA;rzv2aJ#@Oa9i!(V7Q*P z16b=C-Q-t%)f^i!`>y~SpO%VXO^47aY{0+*FHfUCHd z;JOR>i0SF1zuqMbKI79V9*=gkPWe59zY=N0zuE+@iu?;b7w3t)*PwiOg`vILGY8yG z4nn`M*8{g2e?27u+>)z^56;?bxH^=8IK=Co$dB?ku*u2j7x`elwK{A^p1IFT2Z z9J-8tv;#XXG29CO0i4af4KA-N@Q40YCj9l2SKzwRy2Xa8+J}h`XqoDicQ1f!*x(3;)dlAdHiGj@1w#=} z?HG#lp(nhKrtYLn6PThuO#oq)e^ornDJT@jS$6{+BAO*!}| zr=#!@?Lx4g=&o+tQ18!$sa;Q#G0yEQueFBT!O`$h)5;=F{$L%}2k9{%?dJ`ir8wp3 z*u?>Ba4l93{&wrp)UL}LR~jGLc^mxo%W@be`s3p%hO=ojZf%uH{c<~gso~ruhw|>a z7FX5q*bd`wcc=d4T2LN3PNnsy`CQb?(++~`inA~ttntUF-g_zVv3;%v8GrHa8n`HW z3S3k=8f>^d%!BfFdp+gB^%>?DPbva`-EAKEcUz5mh3j(iKXZ%LhtSu^8$TET&dPTn zzBV_+_^Tg_lD!v+?$Z=1^)4nq571fU2FkEGS*U4Pvm;umR5u1=_d+2z?X~mU+ z-agbDc~&t6-HnfOoQ{6c`U=HgdU&w$u?y3D(O)W|y{uvpj1$|z1?{p^`hx42ZfKV- zUkRKC`B2{4RmFUl(v( z=nZflzn}D>b+JD4!y!V&&Fr<*i->n{gz)@C{B{Y$JfTs0g=JTeg6D&ZUo?z55N zjQ0jt>=U^4gAcfU&jI8PspccBJymf zU)Y2^{Q8M}njOY-_T1~3zoK*wxElT&xbFTt)@QzKHGFs?OEHCDvf;QWKAU+76r*eh9AK-=%##BMV%#u0Z1? zA&~lOSzq)kFO!P-C7b$8H*wj1F*ILNvoVk4fZ~3}U+jDi&U{;9zVM6g)UK&_;BQyG zMtS~J5aWbpSD?J` zKFIn;(>idl9JunHkM-Z~G;N%Dj-S0kKJB_guVSZEGVwFV3D8?z{Ziq-CU=J6*1>NO zr!{RHd|06u%MDkLdQ$%VFVcRI;g9*n;%8Gk*MEgP+u~h-@nby)!{5GIb|i|0^(=@F&DdFjK%H-;j9b?_(n=n2>S5$C3x#4EWFuUH9Ol=7oE z*VvSw;aSMDSiTu?>VcaPzkd7bM-!*$RUPq&#F@wgf8T7h@#p#HOnc!H8i%nlbl&s% zfO_Tb4K%J|_fWs5?3@v zum2cpxI8`=K5FKD#BUYLiZebsY&Pmu-_^xcCg{aRufB1?y-r(!tJv2y!f@uEh z-|R+y*qO{tNk-r0SLj6V#*~Mh-LTH692$qLc{q*p#kot3zr4;!zppE}eYSi zysc{YBfbCRx!}ESLvO7sNbx6!WB!VnKjWVLR}Fbqooe|Te?GAh<+J8$JZJAZYa1V) z>P+>XZclz^lLL&N?MOv_nEN}*)8aC#47ZlizQ8+0U>#r$`!6&;deT1fFTH~Ns~xBf z|J^fi&)aoI{Bp_rS%wR@&ETwR4RGuI#}V)u`wQvgOM>&mnM0iN^y>aWv`aPZi*X{_ z&+sx_ejiTyj5*-?!-t8+M+J-}-mfE#t2>U!rxjEmT)4IXw|k!Pg?{lXw39z^0p}wZ zg6omz!DZFu~DSAM1Z z-zW$l9#$gG$;5g3ICR$Q)2NqyK9GFM#Iwwm;=HmF>mL7DZ-eo%)l7GzRNRl)e|rGF#hW4BjlNPoP+j?GoI0gTNBBjd2FTmIz-YrVa*7tckLD8O}ZhU zV)Y>6?JLoIIdTH|7mIokf8-6W%a;IGLu*l-Z|EE<>(;@!SJ%l#e0&d`b1aX!SXb5H z4C2Lipk6Vn2=t=!b>bI8!0n&{I2TF1iulf&;JQLr=-I%L$geK$hxW2@ZkX@-U? z9UV_uDvkiC8C^CqL#uubewa z8NHg&0shvzNN_PZg~nAG+IQH6QnZgx^rv}Rg8Id7R|R>_+t0DT%eD=W2dm&naG7>< zlZjupS`2Ql+<-jrVIFv|SFY)(*UrqqI;?$HdKo<%<_E5J1rr|?g>^=x)ucFw&n51? z1mjkeyo~mWtsB9WC`f$xO3Fjw=fn#|B5%^GKj|CL?-}gIZ=;d7iTU$&KaW3FvxcIp>;$&UEC;jmazToA9z(s{x#8>8` zy=peSAF)&SF^^dEQ~2BIugK@87;u|6a5FxtLUD`(F@xf?V_PIR<#BsZ9U6zXR@3-@ zR|Maew3`RG8r&T1va@DxHa@Ih{(0a~CFpgce={OaKzbP5x?d~J|11R8g5TN0dAe5_jIemY{Vl&GO2$9==-qkF?_6P zmu^b$oBB>`H<^0ST-lk~(DRGy5hs6J8sDST*qz{3Xf*Mb|AyfCPItjYueH?P>9^J!Za@AS z{<;c{TV-91F`WO~jeNSyfL`QITM6EZe)nSyQZfFe%T3hFodcj}nVRO&)O*X}f8ixK zzxbN;Bb$aBE?$;Gz3Ny4%EPQd8x3cPoxrU=G(P!^?s4#WD9C62dg_Oai!%(@oxXvd z&G{KVDxqyGe3nO$|FaGh|Go>z8!t8$T)(ITZYTEJ0iX9L;4cG$u%1|xmU+Xcgaxh| zhhiPGqtnBa^6KTDrHNit)E=hqxG;u zOX87J(JtGySiJF9|BOT)oV~js5;s>s?Ucra0{}20@ z`qLZSPFV%cmmXdQ|6zUMFRn}mmmM587#~%H@~HUXy>i#yD4gmzNkl zAJl?;c2-23oF|1DE_P1J{4x?1f*|D)6z# z)At6;xf13PJ4yW_y(=R>I;J1Zmp0R&SI^pm+okIJCK>;#-H8VUA`kLuI_Wp802es{ zl;`ZSzNTLO!k_f3!@;eh3vh^=O_Q8edOdsaOU@l&Y8RN*NxKOVja_y<8cmQ)4!wm zPb|i~mX2SC7$5QFTZ-pgRdCk!6!DET&PAOwRPUk7I3HS9ib1bxtpFEZ-RL{O;vp30 zH}rkmsuAdE{IxxX`016TpHXu@;@>-!eB6$b|C^!#h$r_)aCz@F=@&P}x+GGzg4@20 zFkg7@UtHniF$3d4e>)uOfR5|;i<8OES~v1pFpvDNw(VlLePkBZTWuk@4rU~omdVatYdb!9y(9~H}dudfhcxNMVzIIW@de+4|`(i+3X z6;E*Km;asNcqgpqEUOc^((U2HhJ5igde-JS=BYe5=C-+4ry5~B5hG)%y^iH6{zIR3 zLSJqoI6LZuJSg{L=y!gB=Cz!de}0?1JT58E&vG9?^`>}XT(R4S#~ZFr`BA$n=l?&$ z$A!mH|Cfpsf94&;W3_%T$8hdG2i)%V0`aJ^olC%fvqe6kXAuvport_yohDGdKemQm zbo(>h=vghB;y+t79rf+`^O(8XMQf41D*e9~e^?#oMjb=zo@{&$@vH7zqv2Da5&7H* z#<-Pl@5CD)E36o}wYd(hZzW=}{_EuuTvup^c&xIc4;j7wdNlEep_uO~bQbj1e=ET4 ziD}qhMCQ5uh;!Kz#K|5%hQInSUl`8Td`3UobK)`I?J`kONqJc8_aXhw4~XCXt-K9= z^I-Uk&m4IcM{1&8IpYrW+QFjy{}#8w=;iObz^%sZz}cIQIESc`%ZPtIg7|rLYn;)m z zCvfr1lY9zxjx?ORQor!=i_q_SP~cI+?cr~!T_+i}_pd%t(08PGta(Wo&#XphKvJGw z6&pqR<{glK?J*wvrrbc|TwhoPy*1ba`+`W!f?j@VgK=edoVdmKtGo1G!28qpB6eYC zIO-il>n#gvj($`{A5S&)%EOH*pHcK(ghvfNX!JU|8O2lW6xu7^Pei|1?`YrWJ^bz% zo!B&rz6+hF^-~5mg})p%82!b6pmD{@pF_LEkk#-P4z1wNd(ioZHS)r_LM3ztSB~3h zd`|6wb0hnu7r5;86kJS-T4v(66KK5>r@CWai;$tDe=vxA{!FL&eyOn++8Z$woVm<^ z56das7VSu0K>pF=z~!&=hZxR%*Aj2kgY@Shs9PhJsWja5| zNy8}*orm@^{??YU=tnhtGvX1=|Jr7_9F&Q5#%l8;^ylC4BsAg4@mKVjPMrr-ksDOy?7IwHNYl zZTxw;Q=X5g77e|SbRK3euDTn}x=ZpO`!DpYR1;cfR+mA$#KrGvUUdB-$mn_E73k%$ zHkcQ(#u;z;B(|bF#Q4+vO6frJI*`V{`1(HLRP{2Ee^vi`if1dsI?u->67Tf}oNqjg zcLy~Vjmj{gr_-=uM6EiH@jZ{HAz$8tSNab8zgSH;+-;M#d6 z`q7^GFV=^=ynsu)1NCE4y#vVGm2CL4ZyJK@d-IkUE^oJ>c)rd-f5~O`f}}jI570ST zFaCgb>C_%khFc>%pyv-8(R@7Ohjm6g$vbBT$dF(31vsdKniy=S4yCk)1`Ptf+2EiE z;)lR(&qm<-!6oz;%cT5B$0DTv;DvdopLC!+)W1yr{bu8wW~Edj{|jN@Y)ebzfvuwV zP2Te)eB}JCznFS0F&TOlI}Z6*(Rb;6Ftic*l&1gxwzl-Zykmd%1h@1T^oyz$Ad~WZ zitwH1?bKTKjGL+7ZY;6tr%jN@Pj9#a@kWbAhaQ5G!V8i)8w9fDn9>jwmz~Azv z?}5BQB)FPV8RLhoq4zlUp%B`uE)T$Y+fMuUk!hb^O8dLDZA75CS9jil^Vb6@KigdU u8_qVDK!2(1jnuy%2W#B1USDCPyhXWAAZDV#HnvLUN1{I|&lo2|>hGd*x_~ zS~V&{ts`hf#i$jP=$-R=yZ?dv*Zb?2^SGYpb-m8}ywAKov9x3N4xM`EVZki4YCzxw z|M69uI8~bsX;jtAsXAoL_=)2OjUG5=d_bV(tp<&p5SYs+3>!2yF!#BdcY_AsdR6yw zraS+y{|Yh2_$KFpZ*J-I+J4iP@cts)pBMe< zzO8q<`q2CJ=97O2)yw-1>iObe)GN=0R6m63Mb&f^iLEoeFr+XYsS{=*A%~wY>D_ypAo1xY!>Qe7S%g1{`_f7|!Wr4SmA@H(e#z2mzc zaqBM!{9@}>M%pu!{rt(aIsd)bF$EUWGVIFU6$?9!Pwe>2b6W$XyJx^F}+TQrn zmipJ5FKoTzl5-NzbE{{fToU}&mLgvS{7r@I)ApICK0azor*sbGA@K1($+^$WIhbNO zySNwes|bPjx!aN3wqES-d&SnvD@hbTuZ#E9^Y(b3=S@6g>qU=(c%SEaNAbtJNVD(D z4f*lDE*$_J+j#`z#Kz@)3ID9pzvBI68hJI(_TYW~?Y=l$uNv0rVe8eX+keH!m#dzeeW82M{TBG%zfiBPc3o-f^|YdOP;Vmf zz8XI?AJ66dkE3@j7x~^6u%#*|ZrjpfqfoEY?_agg{Ku`2eJuZL6W(V@|Dj&&sA_Dz z`86^xbjKUg`&&Mcf4f1~EEkT)zj%MfiHG)C6;LkRmKjT8@%$$23%uVn9P#kawxgc8 zd0tM=)j5Z6!e2Is$G9+;ahTsMr5W<)G(QN=2b@FxD~j)1Z@K*XFu3${qjC5mZIk6}>P~PS?_gc>KRw~EG9tm*t%ujGk2CJK z7^~;s$09GX*>2)JnzXU?vfMQ2jcJo=pIN!=c~gJa8-9$74c2|un(|uzLbX-3(3E!3-X~;wniY% z5xc?FRZolyUzoVTauYZTT&}DMF1Kf|ww$*_Yoi z*K5P9UUn=2&gc1q%U3tXS}tZ@qd0;GgF9be9cj5qm_mGd4#rC~&-Amt;^`dtm`9bM z*Z&o2YxT~hyyQP8665I9el;E3w-vZ3y%bzNnJ~$6QS)c`%YmD~#nF_hmYX**)b6#1 zwayyCT|uly9z{?~Q@KWy zd`$EhJJ2;4-VxV$1o&KyZGvEX}usE)x2TS@2Qc&_2K$ol3BrwFw317rsQl_^^+gz;9JY z-qh08l>dUO#>2<$AjRn&iT#0lww!IbX_-pxb~#4-%zqbGg8%a?xLVMU{CAC~ef{Jx z_>0dbf;$%?Fka4#i4^DD#V{rYU8@O@xCjR3LYPbJ%_?W^0@YhXN zgUby;#J~MVW>r{;jFM+t-F#F8wZ2oDE9RzVUr1&8x71;3jk#^z8FSi>%(6 z*p1pPo`rowKW-Xjxf%X~{A=99zN&lX39_93_8H~*&`9XbbI-B9xt#5-K|YOpAdo!0;QVelxK^=C;B&SY@*{42+P4RKW1g7bic>y|=3rfj zR+q7kc%eVgu86CO{D?x8uwM9i(wo=cBM)lu0jw8(X9@Ij_+;o=)TwaWFTH;!xGFFo zTyFJ=v|Qy~56)loBVP75&zz5>#%~zH_zyTcufC};A%%7^-FrT`j2(bDP32b5i(%p5qQ^2?M_J>b=i&qQJ@&PjiFVf%1eXmXuwOZ@cfom) zBjD=lKJ?3UYme~~E1P0moqWr#*nS!nJK2`3`7CfbeH*Q#>z&71e}3!~@k<%B?*0hE ze9#NlQT%noXg)Mq8DaH$_!Ht`m9W0l_VpMS_SJcC-oG9E#pQd*j|olyH(`sh-g!c~ zsqh)P8tt0i->2F5#MWKC5YOgxw5M8^qy7JWt0}f#l}RH1`mb=#D!(J0Eaz35!$-}n z0?uyl{s#J?e?iZ76^4&f^a|o(cU+Kvl@o-#iDsPEmuZZ4&37BA-MV$>Ssz`)6aJ!3 zJUH{NUXa>d0Iv7kCw`t!OwQFyRut{(8~eaj(xMRXjzhtnntjQ?r`sgUbsY6e{r3@h zFaw?jgNL_4oU#Xf4?9iAU>%9Zv_8d|hKQffaGUL$>*I{fi+JSwFOUb>scHcDm1y{w zUR7xx7D&T=k8`>Yn5RCNSGwmeoKyUAam;ULNDaiJf?DpdKBnQP`J8_R#d*@5;#|6o z`nBWKr}edcj*XxH;ZO1GUy67f_c%C#c)s~y+`J`WT1@X&S?J++^OiQ#Yp3=RMsUlIk6SzMI5nC8<9%zd$LQOqgr+`ky4kBZpl^X?mWBv0MzBg#M})eX$S7R5r`TDW?U4 zizidzW9miswR&@e?(L??r{9$dHy2jV7Em0##6|RrH7Hsc{w{I!e$X*+-My8+<^1PJ z^vhZI8sow*-J1#j*JGd;^(sLxU7mKZ{<=Y9^7%RwdUo(C?jbCNzAw!5``}{s@Nv*L zJBNPq6?v%LM{`G8F7s{%XJZ?X|BiUX&u6x!d2)RS`6q;IK|Fu{1ikq3H|Y7pkFBkb z(|RrPqq#TczY`O>4E~krJkrlMf$QSMVk~DSKlHpo4$a%Wfh#Om$9@EN7Iq<@6WKUl zxTf!1Uc(*jI@cEA`63Ty@T~r1JCRn{15DUHRI0@~VGEvhJ8hc+2(Pui(Q&`q2Ep{WtCdJmO1m{d)wx zS8++S_2+)Yz}cJ&;Np4?<#~Alil=%F^viVfBHrf_;$a(8!Ffy?@~NsH0e8yxg^vzR z!Mc|3x01e6SK{4Vpl83+d}e;%fwSzx;PO=$=y^^G?lZbWdpei1KAlJTN>hK!Pxt}x zFDygxKbeL7S;pnye#KuufRDK4jr_}@ty)^W9I+otw$1X*wUw5$e#^l{wXNVz_7re=E*t)4On>a3`e}t&t2asWq1VB; zsofqWkbkv$0ma#WIJge`7yWYjR3yG_G`M{9IqCbAfxqw=jqw#(>Eo@xlYb)dsY9@T zIx|D&Sk8YD;8MH7M?H%O1+PfId&sr@px2espf_<1$tS)R#!*~&j&}Je`u$2YUIi{k ze=`m3<}E~VR-x}y(Y7n*gM57nJ}mem^1y$k`D}VqyJp@;nxE=U7vJ1C)!*I}=dQjK zXLwG3>(AsvdOi_N^YGk}36|?~F?iqH$U!_R;62V$;}#CRsIwb-lfAI3^=D^`La(|m zqj~H4e7)s5llE0Mupzjt*m<_~m#y9+9-Z$H=7VYb0ryFsr#$udRo2H0_JQ7sq`1w`f>i31j^G_aV_2P#!;Id^$;$A;=x15ERLYz*%YlxFwNW*uN znEx1h?NS5tS=6k9bthMRi~Q^NH)$MuPg)KCD_v+DOCO-|iVMQHs0X9L`A|1nM=wKg ze-n8-kWb2W==J<4aQ6NkwYx76dX@S4Qp8ziI_dq(6JIj|_gk4lzdM<=t-yKnWr#;L z($wD?hcPbB!!?1vHgAvUyN0i%`<2S{?`-`|S=#?uKmp`OmHB20c&{ZG7Zo)CKIZkN z3YP1zk;G5YerTdZ8_S&)ml3CYABy}q9&^_~KmFAM-`sjpVkga$*Ei$rvlD)u^ld9q zzm|v4zE^7gL(~^8c+HmjK;~{+@>Sj8!-muEvBIs_T+2=PVsIYPAMtCC_6sa$Q&LFp z*Nyu1!95y2C-ahj&RfL8tA(w!Tra8uy-BSKJ@3Cc0{)BQ$-l*R%zxHo@ErK`p}!Zh z#67fL=I)qjIZH}|-g$YNc!!)t&?mpAcp5QkH{X*O%XL_7#AC8YQT&-7*IF)HccFMH z(RZzwIUe^D^(Y_oyi_E7SnIp1&~CRaMev(a+ieg(yo z{XNaYR*{$|I_Uw%MUC*oKE`U+$30CSy8_ND7o>I5<`niZxv(O9Ov0rS97I(BHxd6?vMTodb7Gb@w0xDt=`F*2G0Gig7Z!Vg3+&_ zhww2YQxHGTID~a4n`eT{d&R-UnL`QINB3@rJh1FQjEktyG0ysMLw^@$HK)=(@N;ZE ztC#7msonQ$;iG1EMt|82>KA+G1MbKX=&vqR7yi!ZI^c44bIdnW`99^XVLhB*W{gAY zcj|Tc>l?|K=d8IW`Xw)xhmZLDHMki!5A#`Wp>gD$Qm)##Md49fZD~qTe@)p2G(W=z zOtW_Bi`r{Zc;TO8!a`jmS=uMyt z?K7<1BJ0oBzeK-8JpE3{N+v~v=LsTx&t^1^8An5{k8%9K#Yg%bo}GyvZMh6@fOh$h zVdyWPcM|JD&S*hCOJ7o+dnM95`CT}W?jr))j%7!5t2G6Q)w+d?re!gUDrI>4Rs*{}I}s~5Yb zg0qw;YB#o4qUFxaJID|Fp7N=G?y@vFmzy4L@E4`hkY{sr`FzX8jk*+P(i?E6$i-=v z>ztzCW>9tH->Kxf5PV`k^2un7JTtyvqObKi*$$k!(mmYiTeB_v$Fw4T;Tz~3&r8@( zn3pU0e4mUwbFY0Xt=?QC&dQY_eW5oK;4|VW^{eF<;HJb0+F-XWR1oH& zDexP7_&)j`6+M4PyDHHG{ZgG8Qk-E;CR!iWiS~K5u^q*E?%ov3`9;b@R39ILNBu-@Ou}pIg$L|{z>=77cN28N1UefOVn(Je3~}(4*OcZyAJfMVSV`U zqo=*C-kkW3{44r^t0w(ATP}TR-*CQ(!?=rGEn=YW>IJ=%I1F5lc@Yj?F#~xpv7>38 z#M5`2*xj4r3{A)WW&(Xi``UJ6_k;79{je{I*{R`{i>qzG+3skX4~t?kzI-UuVf8r1jVN>0IMweQDe`H?4(u%H^YY z&bES{d*$F>Dv!H^D{ldR)y@;YOE{BhUt(;-W&1ws;g9o+mCYpmtok?y`MUV!@b?>z z_(g%2;7;tdc+1u1g3z15_t){f;UApuW?~)cuQz>Hs*Ocgqdw;Y@~k(zAfNL7@iED{ zK4vV9uMX--?iUD#c8f(U_Pjr8Jn!0C-kAbH7JMtnC|5vYM6AE_?0; zAN`;T#!K~#BcD#i5RcAV^N{s7Tj(6o{>zCM$>VQ1+d%u3DIJe|D&NPwt-mZ@96l^= zCE}5j($-i#S2fVCYW#@eueo!%)$3x@q1WHMLY#c=*I+uCQNX%Q&;qXSZ%jo}o>3QXhebylxlWfU;-9_!5p}z~u-OgU< zU-ST%{-6GimY#`oT$f!6ZWbND`NB&j@3eYncrV1sXVCAXdT1?-ubO?F#<56y^hW6lLyFy7LOh7> z$xikCI5*9ApW^xP)8Df$uI+$+6^Ww$R_R0YVZ4KRu4g<$oP5Ioe3zK=ucleO7&r_5 zDx1Fdo#SS;VQ@~KKL*a*GrKydx&8O0eBFyC^y)0^~Nu7R5Y99&111Q%|< zkbYZ(h4Al0=e2zQ3VBum2?>_-pJ@M=iq<3(@P(e$&l6+0Jo^Xq zBB>hk%$&Sy;lFV;wOe>5<^T0d>_7Yt-P@%{MHx9E38@#gqU8;=k!+50l| z&IH;&rAs0>t6dED2d88+_{(ARcXQe4O$+PKA9bX>)h-KvC;s2Emh1jBZ|1X11x zc~;E}O@+^O-~l8Y^u-hV+a z)B9t-nZl{l!1M2fKbum5^54K~j&H7By`uZSsL+t+!(5I1M;#2NeAYWp>HZVxzDPcMVve^VM=nY zp0DwQ55I5#{gRn}Gb~q^uYo%c79$?9eDzZ6uQo3Q*EK0`vO@&zC;4xYPc6D1vdR_F zt}}NU&HpV+5sx~53;U`WUkY5_q2IBUPi&m^=NBTt^&3cJTx&XbFS%V*WW zRc4a1+*$kS`^AIKHD_!X#>FHIBcC_)JdRTXAb2|0whfHvD61j O{+EIOW#Ipl4E!HmEIR%G literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/19.npy b/MP_Data/pose1/1/19.npy new file mode 100644 index 0000000000000000000000000000000000000000..b91d0db5d0ed73a98ea85e54b710d9ce850b0aac GIT binary patch literal 13424 zcmeI2^s)isJ$VkFc`ZA%Xx+twjbOngeESaT6IkLuyhJU( z>LtqZ5`KdNhX?i=^xNP--@cAF>g7MIZ!#a&uh)>i$@e8IRjuk(wp3X@j{jf(GBUYG3n@*PTvRS#Djq`AW~5&D9XUifebnm77CeD7WdqBR_0-x`*JN_3yc> zTIX}XJ#R~=_#YmRxcPgAa@O|d4p+`jeZcejWwFQZIon|z<=gYc->zJa_{BPIMwK)u z7yi%ORd3IB6Xj7^ui}1j%O|+rtMb-eO~QuruAE&fb_o39DLijFWkQ}*^Q^C2xjdP4 z+?9)3Ri8rFCHkGan&5kvQ64e+2=4zmz1Ll3%1z#)XI;6?FdcD-q!M^uZ0z+KGyI{5CG{8TUL-yn?)nj_c5V-TUbh_dN4i+`*L_?`z1DNPU3v6P9in`0cE1 z-Bndtg6Cz_zHjbcWJ_3|==jJz+%+>V70R=Js?S+*nXQ={?B_``s zqvr4z`C~A?S-v2QZ~2i&yK-4z1C9GTmythicg8!;d>4S*)k~2VnKR9N$L-Qy;9`3y z&BFzs(GR@vMsVYk4?b%9w-xaJumYTADusC|uXQBcc*#}jK%n4<&O+;+zehs z_0B&_dAObx?GpQ9l@vDagBOWtu4!D|JocOtn;qWgP2`;YrfOFdxoOwkP?=YA2 z9oNl8y`hv(z5ie0(}qxc7tg19w=_rpncdSOoL;1!N%fZe1g<_uPI26xUIi{Y)Ih(O z3Wt_~|KSyik@(}EU@n;^j$2gN?1Nu8X`<@w`J?;x` z{Jv7&{&N!jBJTTw^JRzpQSZTF;A%GQ3%1Xk*3Mt9QRGv&IP|vc?>LZUp_fnBft!l2$2czkok>0sPr=2|LV?hyt^v-o&qBST z#k@h@$$A|Z0e?|@CCbg0s^gsAjt;`To*zo%E%A!4)ANGC$eXEL2R{17B@LeT0Qy5e z{E_@0W(;+l<*o{URVR?<(b;m-oIk7468&PNAC0%W9t#||-`avR`!kJ)`Pn1E#Ru}K zz7~4^B0S1*p12!a{`Cdi{v9~iakVxljfb`6Dc+VxFn)O4E$H>h2H@&(-!P|_k9&gi zM>)_Amg_$9ul>ft$4H(1k9e{V16NCnfwM*>RwABi9C?$oS|ITRr9Q4{J1moNk-b3qy90YCx4}r71-$S6^+X3wtAOFPu!*hI!@J{wO zrC%Z*;h&AhRg;P{p+7s4;(T@-Tt!~&?zqTM23(~XhCJKI-zm<(+jPI760Xc^<7(%x z{`d?%>r{&Nn@$(ezoI6cpKO~R;3~c)xGFt@;%P7(KKj>!@V8CE!SzfDt{xRtE*`nQ zF17c0Gql%^oCm!&2cVZl@>9J*u~cu#_T;lU40?688^(#g-@n_ws(6@>NSA*J-e*H4! z-=r@^@pQROprirFF zQePweo5r)9Kld9?d}AT%M?-nAPs%{2118fta4gpb?_|9ku$0>SheSW}O}%2Ak6N~i ze1>$xbLw!u$?zYtiFmi)!EI?z^rL#(gxZ^PJ$&T;owVK-xdc7CKZoW^{t(1zXV!t< ze4R@A78{_KxdxJdrEggGtdIXBSFd>H0j{S{#d@V*o&o1eH-g(LyU;EZ(VxcQowDdx z{cipl*G|#2)F^i~rD&fL57*Ip)os%d=Wo4skUr=U<{b|Vr+p`QA;sT22;;%z`f0M$ ztN5GXGH34d&R1 zn`se`%J7wZI*vr%Y-kUfU+XHOUKPC(dL49VI{ZHrMVxBMa&TEKyqM#>%Vcm9k_0YB z+!>bW>Rpr;{`%Qga5kgwNXOM(39b(G09TvJ27wo%^+8={#5?^Ay!Ac8F61)}Z*;ZVPqs*yuOlHdTJg!}zbhj?27s4m5+S(m4G38s|NgJrVKn1lk9A z(i5yFYI%B^R{`Zwul;iry(dh%OnD1m0M5E}8R6n*oce_|I*NGYfg4jC=d364!>%ku zJo@D?{w^MI@dbQDYEROC-@F(;VKlGIowj(7;axf>IKAeY^o7>IN1X}!-Eq0U9P-0D zhtWQsm=EpZ-5a7_UG5?B!6LuSM!j9Vz{Rz0bS<$z)^VGAI?eMz0}v0N*J~N-O}m%! zJoFXHb$|b8$Jvduq?h}#kBfSCk>h5BLY%C3DqLlj2<&U}!gR#RGj&J))jOYr0^&D+DXb@QSasB^p43L3MFXF3=dVg!K-_BWBjiCYE8fTX=x{o3%P#N1jo2IJfee}j08-%wnYN99JYUj4(*biXMFuI!%& zQyu3k6DW@-kKxKwm7eFg9n}x*)tTF29Z)+a;JjqMjsh3khml{|O`YLWOyHi6c#QbP z;e|5M)tiOlklRjCzxT_K7y3PPZs8U7QXW>_?Cm(KIg0Yu@gwz1i83LM>$?4^zRQKk ze?`^S&Y#!zqV_C%481KKfc`QODeo6~Zj;aOeM6m|HQ7(?Jmm==TPfdQ$93%`;LN86 zIKPmsm*b*O4dmV483-ShDdrFFWG*MIgI>)#4ZVr!-o)wc6MBzR1FF;bKRgZltlmuL zc9v!pxE7D+!vBYF)UMna(2r)wyakRkQ5Shuwlnl%c9!{$OHVq7iwzl2FI#XA`@V`< zk9fp(U%FPRg1m_ux!`ZSwt@4whXcJ`oE~3@AFhn6+&*q1;`t{E`8ScPsUJeN$2+}# zGY2~MV-V#hAfg@ki~NX_$JNBTXaAAd2ieBSG){7ozq$N)yz}S2G+#t?bNKNY4~IG* zGjj)x@1xn!UfK2PQt+ogkxzJAl=JI*=v-7hJ2=ZR4qQJPk9^wyJqMon8(hABAK~hi zg*~BH%{bb{qsxP<)wdCc+I9@w7Jr0%istL7z18Sk$5!u{;(T<=C8R&poa!z39P^zO z3Ii8=tAU&4+p$mC7EQtVw?v$0RPKJz+w{fJA38&BwAb!_TND0ss9kDI2(2538sR&J zDRLb?dTn{+Uw@j|*y(Mn1aMiQ3GrMF8+#{nacn#3(^p44>aT5~PR|bKM7?sIMLhhV zFZLZ#wgBZ>7lV&^{}|^J(RmAe?C?f-jy<|Td^CN>5Nms*-(~jc+WD)abk3AdFCc#2 zvF}31Wtmy<=Qme@>jS&MnRrY7_4{D`RNn0{&RGuH@APx}4rq3sMBenN8St_B`XCdicW*3Ud4@ZrE+E5OGzu84lrrBN+D8g+#dy~5&yw!X_cT6F1krjMR*CfWJEL3|SkevoPk#&dHfAREd$!7f zj+@vpJTE_eMLa6=u{qw3PYWh}`8Ck9iq*R~uKQ(y-i(Q)aniJwc3hqQ1U(O^3@$dD z#J<4JJwrT7?!tHw{fZ!d75O9jMSna<=Y*J?OIkZ7 zWuulmE;)^J{WI!!O)avA9dc;Q^cBTJG`r%RX@YV+_Bu6}cs-Vf!GQ#Ag+uUzW58cE|)ZoNYD zH_d(FxPG%1KD;}fV_8gaUl%94mIm?51P}P|f6C)L&*M6Rv%9C@BUeWbaC);L5?tMz z4Q`^$Z;tcJhIpq|;A&Ozj_}Ww@*OkbBKgnGi1#K@(L%3zWsGNjx)tV~8D1Ls=jIml zZ1ScU)Z5U9`sG|oKR%m|eo>xuPEfzl_XPb{B>Gn-HYEM&d+0~gc^$Zkcuw^`@uzuI zspvfCFOm=5-pN-TUItvJo`!Rv{yv=eqqg8SX)oeohj&nW^Y28zu*pC5b67COD0 zR{-3^(Es05nXZ%J^Jg^itTg`l>F40$amxP-pZNK8*_W-xQZ9EI#*G*QrtF4d(e^$9DjjP|Ek4tp?Tv7OoMOVOeEw50gXZu%x z+v>kio)2aWaa_;*4gTWPI`kLYJbR1dY6|5?Z%R+=Puf4ioWCyp6!og6jls>EqjMeS z=Lf*wl%VfY_Fk6p&d0oOMfL72hFz^%Ussf+5JWPG}P3xVTL7NO6XIvLCW6ah#0`qP$I=fO_?&9Dl;6`xP38C-xwp z>Trp9iOF((FEjl4MEXw4dgZ}<5wTtrXR9Za|L9u5&>zkK&R)_w$)2~txmQf=0WKm+ zBA+_+{s>pES?NRm>+6H76*;RqAKRoc`S|}x`H$>2*y%;x^x$gm5z6zp*9)Cquq@<% zF)jHwZypG~_+J{&-Lrt3yM=M?Rm}{wHz*IdZ8wG1f&Aye+0@6kTz&f8KR6u}8sGYeBr*OVlfG<)!wvDh+N* zieb**HY^5iJJlxt8ZSpVZst(_*_Qs`Vop)aBk5NgdR=HaxGl7K1mX-21XuDVof}X8 z{X2MznHUdhUKz?~lUh5xUAtl{LNE5x|4CVaUrRb}Pmn+NtN?#qAY()4qsCvSJdBFP z{8E+rL^v*9mL#89{lM9_^2%{D>n`PC`!LeSwT7MzqJ6}!zJ~S9j-C+U>Sewg$R~B% zEAC#joHW5*lfN$!FEn}>)?-Q7hALH40LU7E^$}=;uG{N+cBCi)5b(Nu3Fpz zSMPJtyr@+S{$@ZMaC^Q2`d#I@TpNBcvP`VxDTBW<*urbFU3FIg4=zEm!iBNBYm$|7u~(s^v4u; z)vHQEZ?hHwXKVglQElX^L}559;@#c`=Xd@6qrv6S^Y*=BEcM zosay|nBwv71+H!ki*ej+P6saJ3UECp4e}|27sKEB(fz`jx9ya&DdaEXEM*L<|HsXs`V?ANl7oc95c!|cttdJGXhrMb?ajwsZJgD30 zu};c62jHXDRls;NNAoXBOqT0a`6XZ=qr=N>cmAr)Blw7z zIfzHBE!W#|y^{7{sp61Nm19vi=VSY2gpX=56Fxj)bF9;|0yM8>>_fz_hrNn&dR1{e z)mt-(=8Js04f?uYQ7?<3@2=)!Aof{P!vpcNZ)4%Z_9eu@=V}4?=>6Sj-1fM%-1(S} z)L$w+eLqmU4&ncprd|ToyEYx-msN{za(bJl3%JPI5A)r;%K$wuK8O5o#$$hxwKpa> zz4D@SrudD%k4keD^N0s-L;SL3C$vk)cUa`&JjI9cVAVM8A8}Ew;^d^-BL~)Q{m0k!Sg9N9>#WNhff*tuNx|>1T9wdi{Df{HHhMVXWVP=g&$j&Rc<3{i zfsfi!6na%<>NNPTrTm+#FG%0vGrf02&xT%{y$i0_w1N7X+s`cdx9)7Sa%pla0b+35FG;^dZ%&WA6}L~*trj`&Uc66i18-oi&@t%UU| z`Ft4eeB`70RBxez@Yn4dBX7)GlmG1)j4K;D5&mL4?H6nh{eFN4FPP+fgtsSrME9;V zKDP!=cAOogc+9}X;A%0$dD7&}0lhUJz)h?3(2Lk#$YfgxgxPD6Sr?O9G^7&k$rnjrN?{DOD_tgz|ue*+K=B~C2y;t&p!QirId+f`qVn?*s z%wL1{vSUXVI=#Gf26K+hCbmf^zw(6$iJ!`Mennp zX`J)P9u(*G4pp6Av~7cWWq>c@;otn0Ic~FVfsa{M8a{ShqaatW?N$x#(&g#@haz*G zdXDpAiO?&rGl-KPpE%!f-8m!l%&R5VCGI(WHu&rN8oMBs4@w&9M^B@z15UGfOUyYyFMl{nTy%`)Q(i;g;idR2yT)GwxsQxBgS!=SQ&Aueb;H78P_PnasEAJe&zTTT*VyM(6>xY?P|3O>zh1# zH^@6#uRLg8unb+mZOQ2)9hZZt-$ij+59O{?3i<=okD_Nk^7(fottTz1zx0(g;O1K& zHeI@GG=SKY2#u|1o{nGFt~@ ze5y5Jh(~Uji#XYUK|7p}C|w>tyh9dR9~S*U??F}QeOwMXNBy|J8s;4f{YL)f|3bg$ zz#dBzU7jQ9{gjnXnHPuKXz;?ct{T5H)bEua#yPGsx1Tt; z`92c<`uQQMw_G!d^IgjC**-i5*J0EzYE=R3r@9HPZ#psMyWBtNFn?w4f1u|LQzM_& x_mL0kZU2JenbigB65n}izPHQs)(q5-Un+nb&lAy(|M%~|8TfAo{-0#ve*kMDO4$Ga literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/2.npy b/MP_Data/pose1/1/2.npy new file mode 100644 index 0000000000000000000000000000000000000000..97a1d72d5ec5f12282dcbc20091b374cc4c35c63 GIT binary patch literal 13424 zcmeI2_hXM&`^OJL%*LiD$A~>sBPcmaY+73%>lh&@l339Q2eD#>G_g6vC`wXd#L6*h zw!U+#Wh_xpaI>s;qLRKPVvMcjY?u>-$u%Qk{qM z|LcFb8DnDC!#jQ%SG_#%HFvdvZ|@{$T-lWmPu*|!`Wfzvaa;a$zs<=CxOljh?uR_YeR+fKn==u(uNG;#-|I2%i|X(3yjXt!wtHT8DSZY0M}yJ6-ayaG z;=#CYcMQgTwsr*W%SM_0L1`B4`|iShF?$r_V^66FYEWY>U6B=`-{mL7n79f zf34ju$7S)t*WHyjTyO>Vuh8?X-cst{n%OsTe|Sra`{E<~<%$N#4_i_QKBD@sxUZj4 z{^W}e_uX@9bIjkkPWtw&d!E&!{>!7EUv^wn$o>G=ETs^iJfBYf-WSpw=dX`HaaS|F z#EE35|D^!sEim{3?yt=9++D?f@AK|HYyImP_uD+#^4MK%_n?>Vs{F>npZ^_s8vJd8 z^X|%%#=Le{vuhLL=Wh>fa=+yaKg6Mu=D&ij>^S6y?b~q5{nj~)rnsx{KJ&(1)u7E( zKZ$n|+;21EOT;Zd-;3wPq!rhbovvLyv}?NE!BzG;hUa;o=)c{4Jz?S=_q-m~j^h8L zFP@igCth~)&%%(ef;wx9_*F!}D){8xH>$3`=bAB+qn&nYrpV;xIaG{&)aPEKY~~JxWZj!-p1|lJ2eb-A&VTxeRCx8h~q5J zf@ZisvL229@Y`8M2DZ-(&8MFNOS=1}BS-zRlp@)1zt&y4pC>IF?vEXY=XsqUaNkUQ zhI%wFq6@nF;zJQUuiE}h&(F+q*KxK|7k5{+CJFKDRRuhR<3IlU8+f6`XI^kBBNm{rox$xG1t=t<$qHm&m{A z6|5&Re*QxEpE^c)7=IC5rPiG8xC%Q6y{XgYvR}q;o_u4L<6=6EgN^NV$#LluFvoFi zmqIUEN20!1*3P4#PtVN5y+q`}rh3OXZWnw;ahCo7uAj_Z= zc@Q5<<8GJMpXazbkehg$7SOY{ix)U<((;1a)4|}fNDK7W3Qus}I*$B#%_yg52h$Kg z`}-O3e4nN`F1wZ^|9}6%c!^c5*FYb80eXAb3*#j=doBk*u>f_gJjxG(^^M3y zc@TQDu_n0m^#8$e6X{DnSEgee?WG3jFZT@xw{z!$s|NcpzWl=r`0J33;M)8Ny;O(5 zdHN%8k$(pAEG`97JR5gYyH~SKL;T-9pm^SG#8vG{L!4&qM(Az#)u=an=F?QCXO%*c zH_>k#^|w(#q+bRW&vH;aeVT*w&2Pp!y<8CuUl}or#w9!_>PO_E`69-2rh5C(X^GQw ze;O}wJ{QHibUEgiULKBd)Ngk~FCXWJ-coE^#!y@~yRy47o9!A zA6^$cW8X(SEaWuhVf!X(_wDDXTXE|n>4&XG{3h&ItONYP8*o164dyTJ`evPr->&P9 z=UJ8j8kZdd;IFrQfWO#0hxX~d&rm0}bVK;qulK^A$-*m~kKSAf+*I!a&X2!a>bM!O zgZyhGfXmuH!(Yw22fdzF7V)TBud$w(DrIO~Z^vBnbMY06#`>mzO@NOWdIg;Qd4uxv z%~<4@1sm);BA@Ezo|B83!Cx(`O8rVHf_gKJc9H*@qu_kkg>VnZ+So1hoo zyJ(%CyqwxS=>;y!521YSF99yTet~sWSN#g>152tv@$HVhh<;w0Gac=o8bba(Mj+2T z<}KDeQTlVz_n>nV%Q*pc!c&G)-M?N(?d}`g)A^_^G+)fhqqr~BEX2>&E8Y2(HPVPWN@)_GdQ1H5aZ5MP7<#@4qSi8kN(QEGsMfc0+$;@ z7r|%lX>j(WGU;Vbw9D@I1lKp45I_Ee=0)SKq-SlxdEUnG(W$M$`Q8D<--aR{-Lw(7 zC^!||L}n$v>kaC}WNAg?pPmo(Z(>ehoYd6ckWcpQj&*(+{k3nsun)2iRdJtnt-jR7 z&r*FTo|KmGmx&v&FG$}S;L`IOaCY7xelc+exEUW!^)PiZ+GP*EqBxVHz|EEVG%is; zf!nJiiDw@Oy(+O6@v8%#SeMxI-lzv=x>LWVtphhnb>U;;i;&OGB=k#(uQ0!4U>Az7 z@XzPbPw%3WT)*_(Ux;5mjCrIg{Yd?)=0WZ5Vwf*xO@8?B$sX|MJ^sLR=B_vND*Knz z?i*j|RoDc|{};5L@LIj#FNRzseVXci5|Iv_LW zwLI7z>%WmDaBk80Zo`KidxL$J-AxN}KIZUH>etH_#KWdVIP3!F_IyZ<1L%?mnc;rDxq*DI7XCwXO;0V_)&#?q?+OA%7PN?`7jr*%O z#A%<*MEv4!8|L(yRYV@_PCw*9 zov2HeLgzaBKF3-=m*=R`h=*-jf_U`8oH*y0zFENe!r$S~vhAR{tv?6xm{kcB&kvXA zTy(fM^s?nMv@0v_UghGqaXGNxvCufWp6(Op+SP$qkssc8JAC9oBd_{q>{7=?d+L`= zx=!)?7pD4Y`90b-_kxjU*0X$Pr?;vg<>BOKG+$2FrSol}_TVD22)J0{kM&$O@S-@* z22sB+ZiT;kw4eM}X-n%nzoht z^~E)+pTv*}i05VI`SaCLaQo}u-#gAHC81yH>vG^~^qDZ|W7bi8L#k2z3`+=i+;$!T z&hNa&II40zr$fKGKDg?XPUCy>5Y{CV^q%sVyBK`fRDY}k^3f%5BRf(&az6B`ln3&w z#>T=&UK+X7&*dZk1Ik;e*A(Y>SutMr1-&QAXGl(`%AUq z$fHSkM)Nv87h6jC)cid z(}{k2QoiljQo)YPlHb5zZmo!`D7-DgarKZRYdbCmij{1-r4X z+E98=v1xU%?wOVq5U1To@AYbSQR?5-z8H7jl->tfG_^099>Ba{*W%GnwsH{lxA4*h zu3h~yit=#04*Dm)orU#N|2~J}j%y9hXI4X=ZSM%;=e`HGej4W-zF`8mEw_SvPGkqS zi`#owVI*rZ``j`8dcYIq}=w->~)UHR~MJ{i;tQR=@;0w;84Y;j& zlF_FtA*3f%Uqi~O6)9fHvA z$Tafb-4fh>l^5fyyy}sDKtpP$Z5P_dTeqY51f9F(P5~d5JOq02O%3u%oju+8v-SnS zGyaF#dDsN=LT||Nmm43Itrf;yUFd@K-|VEiWt~o99k5roFL6G$@>7bZ)?#qAYdy~A z=33@D@~Q{cPt$8To!iY{(5rQs=cz=$2>4v4_dfo4N5sRX9>O}4@!m%MS0uQ+SCRJ3 z67;=U-@b@`t2R?W}54?+@~TS0k5C zzVj&QVkhA$1FzvbiMdgb*5M})>00XhIWA9P^icSl*WXANv1IJu3?Y(5KsFK=UY3j z72;$$OA=50lj^h4VsL)>I_8VG7mIPxRWDG#nnx2~UT~s|pB-V8=k1+{&)PlKal0r1 z^~%;1rMkKkyw1gGo6))_6En{)@j2QyRwwr!>Vw=LB1VzVq0z?J({lisrjv0f8&d!^&ThvpHBd_eqtL#&5(TTAk52Vz>y2n@bMt)SaKbAPXn)M!Blna2KH_Woe&*gcU zFSvg20{xOJd(l3gt?6BNpO-p%(OqSHuS9p%TSq}}u2(>utZ3^+@cC>#`R}Vn@&C9a z26}aY^e;<*%VJ+HbDZtS3V-!+BlW9ZuCz3*{7nN zUTvI2{PI|u7qzZJZ^xvPPoE%g_T}{@@Gqa8`qi1{sks-n67g*Frg(hm`!LV4Y9092 z>F`lO^u8q~x0>R(?2-d|BWb_m&9)(a+oTKe@&^&W?ed25HnBN4PhAJDXT9Czd{nz5 z6sJ#K;NuSSHn7Hr_NlMoWXf~LvVKe8Mw~(7VD>J7zVC~^a5uOzQcT! zy?z8Y=Qfjm!lnVvN3{J8+)jN1&i}lJdK2FSlfD9dr(&_U2BO_vJ4xTX8|u!!n?K#f zX?OMn7ip1*Uw1f$d0`t3ARj+V^Ey3xt@F`8`6CZ(s29eCryJBEyW0tR*`p(^Gvmew zJAd9GhT0uB0RCoarRmN`7M};Mn|czjomV-|_BVmQT=Nj^+Kt{T;PbE@>Fd(poz?n( zRy(~O{T$rnSC^d57KoyCa%~mzDYhP*-Jgm2;V1(iTX9T zPLT6wL#bWml?bj&+@A0B>eZhV&p8juXTvtAThk*O{7uIu7#F*`%O0nfO-4d5bJF{- z@N5zRfA3Zl|BWKFj!tQd{l%=_K>9<);IBRWXE`6%Y(BUMDF`mNFH!Kn{qH#CN9r7d;4nx%D&XWkP#!p5PD8 ziXPtP^mZ5JhrL~ie6kb2M>wr+%D(IDIOS{+K7}bDqO~VL~bsfBYBm zvX90)y;<%DE?PuWJlTD*kFe-w;Ov70w>K`}JfOoGf$NF&z-7~znTY2V?K?K6IQdK- zh~~xr8cY7qDIWIj^7~p_Qi0TU-Kv9{Yzh>byBx%NWAp^k;xfyQBA-{Kl&P6RviqzIhfh6 zqT8{)i6N7wIe$5d_D6Qvo7TzmC$SEQ@pCB7*}YH?dhbN|+w-*VuxwH1-ScYtg!S%f z$9Pcv$85xW(Np%XaGXv0NInUvm|wOE-h;$$!W#_~_2Txg2NlnRQ}I zB5(X&%jjg+E(<1~!G(~2R^{AQrxyiUgWC(0!A;Xd`0E>=gR|6ev>#3BLiyAO(5`(Y z$*03SoI~XNao{HOb8vpC6!sClfaa-ge45Tb-LKL4;pc47%c@z3&nrC>aVAVeyW-XY z)Pu<$__K@Cp3B@fpB_dYY@YsD_n63>j|-llzhZT3?R<_CyGC0SZC*>zb*rR zQ)oAhOXH}0@ZVb&@u<)c#KU_1H6HxvWa^jCNcgLd3x>g`niqUzTr>FS#t-5gSEs{C zAG;0l%kWlF$r+ptDFD6N7K(YHa{sdz{v&ALRA0=aaStE22>v~3-7xvvl8;Z8Tb9%dCBYfnO`WLhW9 zf$*`8%O^qb7f0#eUGN;sP(Qj}Md(EZ`uh@lR2}Cx`DP)wj$MO(smNMuoR2A)ME-Gf z?v<|wZiIhgDDiR>zgqeV^{>lxB>#4sX&iI?j&Wq4(L6PsR}f!U5PDO+E8?_QSD~KG zADy;1e_Oacd}M$J^tR(r_?Y42!A+}^(6gH@$fr4-H^hivz`18x%FjtUU$HYsNZ-5` z@~KOvQ=CE1!DVzVoO4v^`joeMg~9E!X?t8es@)Ul)$Q4cNB{O3dYPBz9TP2 z(E9(L)&Z5c1@nb1=z)Ec-SMY(8yAP3<*ki-oH)c zf~AOOEA21p>{E=F-hHo!syt7hMW+bZ<$j`XGxcC=sXqWQq> z%w^C$g|mN;3GU}UA4Pvf~&j!^PRsf6+-Pc z$UN7LY%>D!zZ1x_=|kVQbovR*J9Yon9o!#M7CtQY!{Fo$ACXKx>J)ts7lVEaays^^ zB*i&%58@QRw2F3md88NdZuIX`bb%WYj%#nK2id9-#@+U=Jqr3jnn&E5{{G3wjllUq zjQt5dI!{*QN7rokgKO6|ruB;bnv8MbzFB5CF3;qn`4x8^^Ma?p!2ZrAk-u$v5I#0y z&@`v#uV~*_CmH68Epd3U<06>$Q?`iyJ&Q@GF(}!!yL%YoF>|M5y=6IqMmWwcJ_5IE z==&MVTW&f0Lv~aAh2K(~K7p7QYSt%k@!5Oq3u5|h)W7c22l2~tH4u-AxrcRCwdd5Y z6sjw}wVy_uUhTkD{-2=NPde^!T%LSG?Os1XK8@@=$L*n()UI~~=A#g=Mki-*^$&gD zkl_Kyn;jMvFtP|)USbM!HxIc#qg^{-%mKB?=vzqWfk~_ ziqISX(Nwozl%jJ>h5q1dDSdC`6=HWfy|`73{0EIe-P*gU*pGCpXNX7j+z!sm=2-## z$^>v(IEm`KXA2syn)IDYw1@$h?-LNe>`UiZWBQRk)HBlg@S$a>zn$s(m3h4f`y-Ff zPw@|HhH){Ax9@j)^OD9zOumTx%k;c>e^mA9ecx`|3_bs1-ooSzy{Z@lf3tcx^z6=o zm5ww2R>ZTO1Lwb-!FZX4wC<_HbIHG3g=J2!PiEHn=3W%Kkrlkdb#v{tmAS>accMcN{oyC^cd@s49!k_-&q>3nmMQVW$0P%9N>yQ1(*Aa v^mANB())!BECOzBY)1W?o`sP&d*n9N)%#G4qqF+ofB(zC|1$9ZAOrseQ_?mV@J3F&`&cT?DT|4;paABcrg4e)+-~mBi z4Y*gMLG`>UbFV?8fPG%&#OR{kS`12TB<5dYBu8NbWds8gqAw;U zFDGM6zkhSr+g`gzUB|V?hI>gFzr~BM&+Ttf%jcfGN|t=ZURmG|ckQ_Tj>gT>M2w3r z_c1Q~OJH1Or*T>B3�Xx2w=|p>a{4#`Ts`@NYK1#{Ig*$vakG=B9CHR{R}%AK&bO z`^}HXF|JR2L40~@Zj7@R9Wbujoxr#`N#iEGZkoN{`TYJGuDaF*t1mn<^`ET0ZMlg1 z1@mV)vz)Qx|2KZsbUWfVAK%`@{mjqUar50b_*eeL5x>*OFV&9g^1E+iyf}@si|!9C zSLGYrw^#8#gMry>xBKysz&@_uj=a`n5X*Q z{goY;&w5|7+$q}NslCdmd;h^MY{FGLt~*yhWq+IEm9)KzT>Ed?tM>AFW5>m^G~BO? z-$VRj<$m1noQuA0$91P7q+iPSZ+o9?aGK)XI`Xw0SG{Lmwp=%;MDx$u4)>b^{IVSv z$)!j??c_<^e_;#dqpb(x=lgfye!esfd1n*1VE)eIh_&{9Cor+Az0dKxe8XPZ`y&`P zW9F^L?>?rBz3PWYale!O@2{};a@(9_@4MTjk^QZ9r>B5Fx{Go4F5ew>w{e+@IC-A!Sumdc2h3Zo?T>L*Y#id2e%I2PWZ28Oxznv3FYlVg-mglv zN4=}+!Qbq-UUL_9sm?yY{rYqc)RVJn$6JiQEeiiSZ6od%U&FRoJ(f11puMV-(@_6% z{Wgs21D8%ES)Thb^hLeZ)SvrCAWpg7Z>b&EyZ2JvPrQKqnZ762S zI@WS?HUM0QPemW9C0P}C=ss}H3PVS`&@UQs5JFu(>~Cb#io({I&;N4Ls!iI zhJ5qBQMCRC_Y;4AteG8WPB85CyC%phYgciO)mPsWmr<>gp%W5454?15*o#dQ&s%Ov zZW(2{nX1U|{8Ln?W!qw2&dPXjwIe6$Uo}1uW9{X)#o+8W4ldnWM_aCcTTVL5+Jl?l zr-Q4s6{IsF2HeSM7Fv7NiSj8&J_F}(+f1wD z{JaBP46KQD;c=JOfY%uTuJ`>!>(%Y&6_$&{Sc?14oRptcUlP1CxP0tG`)!q;s57;4 z%rMw@{tnzp91gD6tsi4KZ~YI}#pq$g*AE?OxqKG{F8#BS&YI0_t-h!*6*?lNBH51| z)zRAPUY}sEA4Xvvoejy8Ef;ybVK2Wf1y`5yhgz;i93cJP+sWR{pJ2JHHWyq}e?i>! zLJ;g1*8_JF7Qru{5IMp-!=9a83VlBDSB$IE?cmoe2*GbXYYyto+0$@W>qzrp8zYEsIyy}a36AhXzvs_>8 z1}=*hq&kV{z1VW6^JmIiNFvqe;hRgKb1;eWDIO|w95q!5N z^2W||LH>D-Zo!s2ZFiC1jq|WS=mo21!2Yib#GCyI9pzO$4)!Jg0vFi^klzxQu`kK@ z1E4SEcyQjk>m+M0>Wx7>e1Bu?C%TrwIly)&!(NC;)H#3s4f})KI}+TPe46S%s2Adq z`8v}4m+!dfZS&RQ>LPn(w_hP1r)5E^tEYA5TEA>Y7`VLj54gCQ+{bbgPzBuh1R>8l zb@xQeMYp^3`*sst)wG~ZR$pyph+hpZhdwpAvSI&WL3P1JVh`%y-s7vR$Bxv3ipFP6R{HU%xjAI>es%QujA?id)DkE>39~0z7u;5`uuWNaMg7o?B&R5 zs1p^|miW;(mu%c3J|Noa^9Ba`Z15fItEzRvaLe`k=g6lB4THT?sP!m&pT1KPI&w~T zb- z)ug@<|J_C(@fMfJ?+V(t)svhHZJcsJUfA=*HkAJpSzs?CXTn~58bRyTCup*@S9}9F zTQimN?7lYAa;HlyxKqlH>>C!IYPncb75b8;qHfvI);J$!)I-uARvq@bc>&aw@F@v< zbB_8~KHC>%b#zkZ{&1iS`JG+@@tZu2VXx!eu?`}o{cOZ}yCco(6P+Vs#%t^Y>fp~5 z&+~`SkzchPPY@wH=6KaM-~yWE`$uCA|xJs&~mg<0iE`{ZAXkq0ru3wGjl4DAC4 z{@d_z%DLL)499{&dJY#j{F9}L7g@{W`@6S9f= zZe$wzLItM4UYwgxeDEWhS9){u`)E2iJANJZ^3e$LyOUvGQiuMWX8o$+Zs2Cp9OCI6 zr(13|?xA>cAHckvw6(NvkE=-Q+Hb`LZ);ci)i`_Q^XZ&YA9hh6_02H``qk)s%EK8*;4|_>imcXC9Zu{x71ggkikrI*MoF2b{B_?$!2|>(6vv zt1`8~P0Q1-?DH<~N#~c`p9ebfeHEHl8&~AtnH!9}>GPrJFSfH9{IW*dVQ=Po%!YoY zvWU|JY$X0^3Ab^oJTt-h#RsJS>P3jvCxTL zPx-m&1}?gXjDvknsuTUS0P>@6ucJPy*adN_{!J0T34Ds@2buf|+>vFF2U);lfVYij z%0im&kJV9cvR_u5cjDY16z8z!s4M4iZS*5s_>KB!dqY~6LVjDVj`(mL_Uv;U#j|Hg zsEt!>NThikJ&AbaD<9h5ZuO=*9F>50*t>4Std1G|mUPN|gI|8_?n1^o8u2u0I%NMnw_1Z<}i4#(O0qjTB24{;L zTyg>h`->%f;?9_$_}vdl`1s*TmVYE=2o3 zOK?ZLTsIw=Wc43MQJlqpp?zTHsCdhrjS;YOW?e!2CM6Yl(;juOjeXOPWUyRCvfiT^Sf#N&JCux28APUqR#h}=fC!Y>nM+*-WfWg z678QXq7KI8>?}B^WbAU}U%T$5`f?9nXYEa0S}(P1Jp78Kz5OhAiv5Uq#MuV4@3k03 z=jOG!6lbH_&=3bYc=z?`{ zmKLLPDt}?Z%Fz54^hEyo@cR_cyz}6y zLM^;6h=n`Bod93xs2BBVKb*1}oc-DsTzG}zJYt=qh|l?ncycqWi*ttFua!7L?`yYQ z=sfM?h4nCZiqm|z-e_mzl*t7Vr^zyd_UE*2_>STHN6%MIKn>(y7iiYT+AFh-;;-!k z&i@|U(mR9mLI=TxPi=}ncfAPMuP;n>vi||%ajHj5xAuCCC;aNJUeJ-9pP(L`tNTeO zf%aoDr5^1AXEMKUr1r(S^EGqn`L--QXR-##wC`mZzTEnCVrl>6<2KN|-1maBwD+X{ z(VzDJq+ry!(~izNHTD|SbIuaTo8C^}Lv*bGs^{&6u`YagS;X(m9|6vrP-AT01htvL} zn`HL;6;Jr(GZxYPT~}g#^-nn_Ssj%>AL5iNZ(^KP^h2GnN2d{wnRgL+P)#zw7hS#r zJMrCTs?X5R=sV#-ee3x3B%NvP9IMaX+`(^Eem>US8NNCget(a`{i0b`s>7uFI8U9P zlS#ki4%qX}dAoRL$jHEau;+dWu-AU{y~s5DLjF>I0+;iHXIOpbua^}6u!E=v<=Pni zD1M~=WgGs$x$LA@UX6G-y$7+gpTX7nadDOlpGL?JU*Zj}1Abi#{mR>+uYXRUeco;Q z7|Z3q)L(pIOK>^5i?o~tzeJq+QEhPX@G9z-RZ!qgj&7v$@+sceSSUSDh;xbH`p>7K z(9xNF+VU3qLZnU~>uuvq9gci4-xSQ(`F{Lr%VksgUSXndqs~p_@fw!%j&xqAxdkXc zQyLDo`X(|fG@NeU8PtizDaNQ1uI_5klq%7yklwyXx7J2_{e@61?wZx!LG6laUm@m5FscgDJi zDw@_SCIRbWvW^5-=Zlig-y5*LX0s2tlWb@m{f^PP*MEcf*<|WFXIi%y=ue(V>%O%t zbayXW$#s z`L}e8wO9Kp(0oVsgP)JN-}f4@29 z`SvfAf6rx0t&VfCIO$&wLEVZ5Luy!iUbZ#3b3YC`d|Wu@%X+o|XMZ#R7r$)8d!3DuH>xY4>1;0^# zHg)b{{R*FPq~E+4@wJ-I`n) z(RX!I{7^}&WBRlwo#Af1&iM1-`k6P)E2a$fW5kb`7kg3;oLxSJ_*Iok#FH9; z>zFBF)~~ur`4=bX`=>k|Khbh_nd*@JwVLc3ej5w>-BfRS<`q20s&4}ZfsdPodJwa! z&^}PB-+pha<5CBH8H^z;?K8>?6^q24X*r(P(SwW2Ypkc z8|fFRiglN#I<~a-Y|jT;#|=M`{h8;}lWaU;SxMiGzPFf^Z20cPO6Dg%Z3+6?EOQI6 zI_gL|xNPio)&6z{r7r<5K9Kr!DLsFR@N8=^KAXXwtG8F|Z(X_|o-0^;I+yvS(%@|J zka*bV`wwx-$KRlDg3YL;jQgZ#HPZ3uMt#(?DEdhK6AQm;cn`||u__y^4ohwWZo>M3 zn{$t#FFWP{clxXa=Tk=`pL%El&Fj=`a5X*WEUROD>A6VDW|=xmkZ1Y65bQ;XmlS8U z8bQ`x+}K0$|CbkBypq^Yxa)HG)q^ji9=PY9>#e<$?`LqCkPCTGE!tzd-Y;&m=qF?{iT+i|0Yd`A}}9wO8FLkl(!b;8&Gv(2XPaH%zjp^`)98D!I$jg@rs@K4{b4=M7pI9E-bb`+Kg46)==&%e`gn@f z(Sr{oexB}&dGYl@aY@#1V_(?w^P3UBZXcR*#KyUF2K1eGxsYf1_g#qYnEr-}+@PeZkd52m6%{tko0q>J~-%i&`Qcr_bO-%cW~(zbvQs zHmB2#39xTV&+VrARpgD|%Dw{ng^odArbU43mj~8bu3yr=p^iPEI-I$Bj^*katvj!N zj_Tpi7;qtSlg^BQfDrTWQ!l>E+dgJ0eyH=YAC{yQD%oU2XoNT0=4-?%QNyiN9n zj_O~3kLAv~Yp^#(50Xw1xx{i=hMud<$KiDD3>q$zGB}%EitNAML%p$XFBe)ajy^=4 z$c_zR?;I<>$a2-`7R3{g`TrEQ4Mrcy@(Ns54@dq*N-;c-aY20{4i(4yrKz9;td3Kv z4&oOjen4Nal)ra+XK_WTFvtN%o_ z)o~J5L0_fBQJoh^fWGYcmHM|l{k>RRUyO5#2V^I|dwQTg`J7=9R^PNJ0Imwt-&^(T zJCT<2>mJ~8=SSF^w<}?kxomRL{vgvgV7~Hkxj1Xj^3(elZ#)tG ztIB&!P0GMxDm@p8usW3I`{lx|z2ioGC(d;OS5LCev|QD%LGj%9Kz_4U@P>YjAFbmh zhvLk)a1D6WUdr?3N~H7K^^hd1|D+Lgm|q#%_u^a{Th9EC!d~zB2XUGrA+eS#S9*?h zRe6>D*}mE&YtQn`MLg<#4B~WF$L_aW_pJ#X z<(nP#>@3Sp@8iYjecZ&JgS|Xd0e#0?Q2yEXTd^*zR{zyW89K(7-oM!S9MDm5y%qQt zdM*-=Pr+VadA-VV?NB|avCUzxpVI%U;qR{_e$}ZMI8UAqeZHB#2eNx)uR7$7gMO1I zus5xbU|mE3iN2Q2FB0EN-{n-Pt*8@c=_zpei#zfr`+sO{b;PR|$b)Xw3pzY|ho#;b eobSp>>o~tUxO^#=S^mF&|I5JtGVuRN2L2EH#8TP- literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/21.npy b/MP_Data/pose1/1/21.npy new file mode 100644 index 0000000000000000000000000000000000000000..3811be113b92869fc77648295b825b3adc319c84 GIT binary patch literal 13424 zcmeI2_kT}G)W?U|uzHQM)(+7((K{={B6{!jT8Z9*6nzjPI?*;!CK7d7eOFr<5v;P& zqjR;zDq*eOo}ACgU-10;Jbt;a?|VM?GiT1soICeMRO?Qy+IGtzLd5to0fD3YjVe<| zmZ{gjRv8~zrvHdhV@CBI-e<(9fI#9+`VJi(n8rsB>^m|r?RVMAHELAxDd!_6%Kz=Z ztU?GCboq{7+ExBHA?lTMWX={(vuPR0GI z(v@W5^30Z-bhVA65Wmi`j_>dJ0(qBDHe>ucali(;Uv9n9iS*9kOIPWtM<$@%Ol`V} ze!DlL&@NhC#QkRcozKMWfuivVX;&kk*QMWS>yg(*-FIkr_BPVQ&4UFM=&F)E|E8j$_=ia=HJ|KCdFLyJCsBU&Su@jr!GdU*$o3U)Ey%yHO{(eR%4T zgtT^()Z;VVFH%?Y{@fqH{lwQ>M(y&zE*?k!?LYE^DTs9>`}|qDb$wTHyMn zT~*8`=2fGc(Qo~EH2eHs?IM29^q)m~Q)mqHu0LELZuTy_^8&ez*Xg+W)K%segzj@ z%JV+$le`A;)EENpzWW~B-Q~A}xOugj_zjxE{_~2m{->wSNpG8c zWS;_4F^|sT29t=JBtO>Ymnb;mj2ZuZ;Y`uUe2;$mWL za9L~`$6tBTaKAL{HeJg8J>$83ao|MKJL`h+TQ3=p_;s0=0i;)V#vyN_UM-G)&}Bnh z4m`s1q;i0(#@WN6-&hO&X6gW}f2V5YndC1rcfh>Zot?4X#H`}Wi90R3Fz=NW{iyXn zEQbE*NBD^RD|vmk-@Amk+-||;A5X#c?Uf6OyXOnS$C)kR?uC!^$sP?p=?KS}qbuj_{Z6h+*#h8ihYsO*w&a-r z|Lh}qys{eClV2{!5qDEALa$Dbx!{-fTV-B@`XI871b0gB0XGTmG}5cqU3g!0Sapu{ zZsnX&bahs|L_F?bPmD{rWoMJ#Ei{(ntdPjO-LanF(G|d*F8z^bvm-0V+5ZlH%cGTX z)ro8Pd6Xa!znNJS`&8sf#r%r;HNkb)w&3Q+e&FUK_bWr#Uy8ls(Qm=U98b{>@OK6e z(coQw#CT0aJ&f1+t{wFD=y8s7YHs-JuXe%TUhE96t4@Jlyl9Pe;+|~|E>GR%y0NOo z0`gZc@4{a;Ka0AmfB1R`aVOw4=ks*{^fEGJq+c30LnVB~Ie+9?+R$+53tfg@BtApG zwqCZ*&>yW2?zR~Zt}fo0PuyAF3HhyqAm83Tk-;rx4jqV zC*c|5H#>4c?_8+QdG>h_Me&#^Gg*JrfnKf5H3|IM25=KR2HYJnIfA%ba5=dBt_iql z^91=f$9;Jo_npVO6~k&9(mO$q*nd}P_WyDj>r>A97J9XT_pehwcs}W^AJ+#*6ouZ& z^@-yzTn~C-z93I>!8_C$S*oc~*zOXlLfU6pP!A*0oc@)3=<{al|^8)54yCQxk z(^2;M`!xFu9u2*I%+CvVQGU#$`p^n_5ZlW0{odior)imYn_rs0DzJ{@Y}B6TaoWfj z+w83ZN>TN5(^)Zbb|Lq=IhX#;A!CQfH=hI zME?lAb8sBE3`&AtRUgLsqc2hSr1$8lh$q?uTo;~*dZp@I09QY9JVtEAxSZHYm@nsG z1?(@oeAZbSr%lmebXB3D;7&$^eIzz_8%h4|ettf>iC1}_t{jH-U|y`?cnS~Y{dA%B zbkeJU+Z@l_Y!}GaS-T7KqWkgl#lENoe;eZiAGbTNa}_r64CzIc$K&Ah&l0W!1?%BC zDCUjm3O?cr_m|BJdC=bfjivikL_GR+!yc#5Z|BG8Hgpw!b$Gm0OMsi(lPiJuxWoGC z8R4UzevNqS$qdN9T0RJQvsDISf7z#%c|YV>&HW}HjD*k8Qt;P)(cn(&oF$3t88g6D z@D1^~(`R+)3hdp!l^6ueZk^ao*GU z6Vb0+Srh9@ws^xYZ|r3dzAdP)vu)2+YI#X=2)Kh zN2>-9cP>>%e%#Q>?6ax_#$~4X^SsQs&v|;BIFIzUL^W{tQ4fymR_qGm$~%(B`zes) z-`RZ)aarvU?spPX(e93KzYIPb&f&KT-;d|Gdh{TgxX2xjI8{UoNw*?d5BZr zYQ^>8c%PUA^7ozrom2M&;Nex!b_ zTLiz==e)SOTQ)@y7vFA29z~{8oY!@pQN-P^_&q`m;^(!>(FNxvvvUIHq30O*$fc=W zNU!!N?(f)bUMC+GI|;;NIF7V>&%Co+l=RkbA@pM9E^zVT%TMr`KNjN>2U0OFHq>_- z^nVTF{vH*E-o({yOaAs&6>xj`F6+z9#5u(D>I>cOQJ= zcy8T_B(B4Da6IAta5XnSO!XuG$b#rsso%h5-wH#B+w)(*MTTnJel%(d{HrZT{$=zg zT$SItc+xwO3!t;5hGM*8=JpQ6)oF=%%&Lm0hc+w#&p{I$2`)}l#eJq?>Ll`)vAkbw zp;p}QjyXZ(qigTu{aZQ*#;ZU66$|cDlzkfT`AU`jjPro;ZSeaz#DwhwhUTRF zdWCV__^%nhW7zS0zLN7xa{lc$e~hc|R?cI!`rz`}Hh<)8;sJ1bp3hCH<=4|m?=&oc ze%0%%d`|9K1)ELEbr_`@no+Ky?W7!T2SGk(tPDpVLpYH!6PBXMLxI179 zo?lM$SdM>m6L58Z8tR@}pT3?}ECCk@Z*Zs(F9-hj9|%g+nxdO&X$1qUL|XP(G|EdLgId#ohR^KwTQaNGPS zxSTV5FzMZdCE)6Z>EPzS$Uely7k<8|z{bq~KGTV~t&xl4oN)pDx=*rf^GoBpdwSg) z$>&KYa3J=bxWw--KbcKnC<-F6Q2;&RO>@;7hCu}{Nq!DZNdoCDRdvEXi=#^Cn5i-^ZvzmM}% zYa7o?NU1;?m-OXvsfX9W^~81U5q~>=Ul5HxfQ#z0#uC?6BQd}3#%|#5)9=0`uKo?= zb&{(r`xL*6=evG<0`Z8vqmUo%b$JEp-9u0A`cePyqS>eM(Pi}8-E@J+b-x(mH!pXg z?ukJ&?@_xd@ccYob;vW!i~Q0WKK5e+%%eNmJA&G+_e^kSLvwJayU%R+xBi3sP4NSl zlf**!t@_A54exRMtw;Y1z50%Qyb43FhmV~OeX*axRnSV_M<;X5Aa0BH1b6eT0hiqZ zrV^K3PqWXFJ>a^~;kodC`-1hmUa&s?%p&4W@A4S0T;3J^nsJ#{!M{dl==HwwobRZh zLGbte#6BBBIG_2>M?*hpEqv^+9`F&DM{g%C>h%HF0S}-T`A)_WcXKXfpW2nMZrz7p z0>H=I<#`EGsAI~v63%I+&N-gn*jLQE@O!by=nWqgI2c?fdh&OVLQTP)mA|llThDO` z6wlEw@UhokgPR&pBZ#XGC7_qF8L%%^!?z*CZTMvNAH9>g=h0A#QcYkx%LOc`9)elkWe9=SydZ+D%+!E(*OF^`6(s%x!bYUzdK4 zer=Z8T$lP@T1ecq9S*%dT@d~z|HFyo<5cJXuDay_7ek|hh`aMEV!X~rS98S2mU9ftiV zayLc4ru2B!896{1YS&x1p2&znoae=f!MJaw1HC=>3H~~3rPbiWL&2TTY1PWNbcoO{*KBpz=Z|Gh>uOvbou!OP&zPX1nD^44U% zFXu;&sd$Uxkc)FHAb*vU_lx}I7~(WdEV#QY1wQWYe7+E;VzCa*@nmq(sw(u(P_94j zOs?l*ei3ltTX8h`%d+J#E;X_OxLtE84E?U-{F`|_z}1lK*heOm*P(s4gn9HV)Frhp znDbUC8RtfOVBrAr(FwD8oy;o7`=xi2y?$xj6sQKhEzRHC-TI|{h|BTpFS8coc;tm2 z$w$1s#pAs<7yCo%om;`^6o>&r@^c z2=N_$aO)o0>a=#tg@IHE20{h7A zxE%eu`8#s{E5BVwKB{{&aP_GxxRWai{-X8Q9H-9;aQCA(@@ZSG<~UnTVf_ygIRCiS zdB4lnwZT=p3L5d=&Cl_SeSqC+3@Ij%{Tw$&5VcgWq7@Md#z3hZM={Fs$?%(Xzv>Nx(6X>a`sF4}q^e&ttj2eq4v-PmVeKdvV#H}vlL1+4eszvDYi z|NIsH@A#bQ{CNTXvf*j$BYkZ@;GBRyU35@hT*wse(M2lJv$+Oc_4Qe(wiWT zUpH)kcyw4DUgy_dB2IIF-`hlm@)Jle10&eqy~N|{{4xeS&tY&qk^lZ+?yQd^?!4~; zt~~kw-|2(pW)T;8%7e>%M-Zp}oSFF=er~$)yP0qLjQMpR1|tvlkDC|ie$_rU9@m}e zb=9{x^fq$kOyZ_%`gkurgWfL72JSSR&+%;J@2k4YU|v7pByv1^Gr&hAA6P&>ZWFGD z?%1l}GXFb#Pd47X@6?@U@Ym-H?m2rpO0Lh#mIhm?x;yibOMdz zgoIwayN2~9E4^DtTzm3!!TGBS^twQSMa13Y8_>HSit)M~T5~1&+ZG}U=1dlh^5A$NS@VQ+sDTR6^ z_VaV!-P;8I&gAd-{ne)-@}^P@&)1G+SXa)ane0FCBd`Ar-dKlDVDwbP)6Nqb70kFcYotN58}T++OJhG^{ayFz(-~+j&&kl9`GaX ztUm<3YI_86y3fOx5|>AKJ=o+1s7ofxoO$pW&-LFd=I?cBf4`nY+-}fcGkbz2^n*s==yQRet+8jVW? zrmz3UD^O4De+^=Y8=so+5pl`jPH2lo#8szU;7+TOTz@v7HpJz^uUOwS4)sm$k(d`b z!U5N}I)J;&{s{FWy$8>`6wSePsVADaJDTTF~rG_@+|gCejk6H%KL8nQRvl@n!N8iaou*?uVsCkez6IZ z&-MKNrFLe(`qu}$VZQ9k54_(?9fsb``DzvE^<-WTBB>7Vqh8%3;Zrfa{aer9&58ul{ZjZW*2|qZoA7X~XOrp1M(F2t!~3ck zRuTKfj4Hg9xbfZre?6!v@87sOGl|QQi%*k}9a$+4|>Ssd)FzB^!CNUB=}be=JSB}5Y!W~KJGAaU2rV#>!pj~FXz<)H(BWMz`E|K)IML&#J`81A6_#Y>Y(`x_# literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/22.npy b/MP_Data/pose1/1/22.npy new file mode 100644 index 0000000000000000000000000000000000000000..c361001e38771f3bb58d01ddb614dc1aa77db647 GIT binary patch literal 13424 zcmeI2_kWL9*vF5(Rn4}cZq!zSS~YUisJ&;cBSaB1G)58*60w2^LPBzgQALf?hN_%u zjoM<5)Uk?EThJO$uFsXf;Q94=^2`0Y-{*6GuIpT9+~b>=4&B>#>YYUdi;#+g1I7&s zs`$BAvC)wF6{~p_hl~yyA2e{(fYCvN1BkaAIAUBt1|K(c;Fy4n^GY@A)~!{oay2i^ z```ZM6+)QjC$9Tt9Hmc>i*&SSr`}A-IEq~F9^$-^?+rSd$mDZ4FM94ewd-PU(Jo5Q zMY}C=0qydO(`dIZ-=JOk-bA}v@DA;I7PmWJzTWJ~kND=$F0`w(LAYLg!tHAO>}!a- z(4pN8AISc9+20O*=crx3`0zY*zI?rxldpHt^==Xu*#-BnqJL@%oj=LEzGT8xYM0~t zq222hbCTMX>t9g1Bfe1 zZ`(!fZs_KJ=xEoiPosA6brBxd2_G`Qw)Hu+o9|wte=cgzVO+QRpWo=HcGQAiUHb76 zU9b9XyG&f<9Sh@k~V^YsOp?3T2c3iK*!tPVM z7*Yn;+ov7RQM-9D?KE-uYQ!-*+VHYm-?h^oQ@a{n4E2;(cB20-cxO84RE;DazgY)y zy?vJZBym%q9LCXgS&IBkn`*dT+8 z(B3^Ct~WKaar+KG)ZHEW;|aBkv$c`G+IJl7;#^1y#Z{533*i{L4R!OLUPQZmJ7Hf+ zM!P%w_9%=f*96EmH;<()z6L5Qb8n{W0 z2lrk?u>RPUXws|fTu;&P8n|4r0{)^R>s{X#7(bn|7V}aMS-}3EKLa;87tbUgeQFE1 zu3iD-BFd+&Mn3sRaNJsz!0oZ#D-d_lGQ{&1Ji|KkI+rwl89uT_8{Y4xwmDDdy5m2? zNUsC)ft!E(fSXTSj3w^;kMg(_U~bDsj3jPfjRCh!U+{RpmXkNBq;J+^_H?zOLt?F!+xP!nwLI3Hi%e;|G&owhrd;t67KZv*Mf~ zE|OC)9SL31A*)A+0ZtA75|H}K!WA;Q7cNdHEeE6d@eC*O(Hx`b-`7^ z|DvGJJ`mh|lN0^$PM@C&|H-@_<(LDU|M<6Sh}&N$!e1m81{YoBI^teLDb&q$ZjAcN z60xYijNit2UJ1kg;P%9X!++l?aGm}meDuI-ap1-GGY{_$?jlpMFX^`f;V(}P2lqNg zhLYap9E*HRxG(k-x#vz2aj`5FdgV73`+(PWKlTTyMu6L0JHXZBoSe`59eG`yU!Llh zak+ddV(6&LJV8G4FM)oUkk96lzv?@I`!#$oxVI^yA8~i98tdx^aGlR{o;vyDxRdOb_APxmiSXEi7u_16ndLT?+~ z98e%TOuyZbHbq+;vMMxKASXP;?&AMvt1;(nd)%J~es%yCN{LVfi8O#cTO zT$Q@N2>HkMV*jb!FK_PG9QVx)u21zg&}*N$$lq+c0#8P;{$bMxAxJ^~lrI?SOGq z^&;abu5P*)K035LU-#{t2;%PM4(8##!CjGHjH7JVf&1%|03R{_7S@G6dYSV%p}}SO z3&_(wYX-g7e*)|GU*`S!ULfmVJ;uIg`>&i%amD>C;O=1vKmY8{K7+WlJHh3=P3V^i zi^q7Gq$<3=>PDRMqw9NpIgyTX(>QQ1F`oCUkfbs2@4)v*@$ek4(`CzW-!WNNuz%A) zUQe%rB1o_2T?IGua`5`2C$D-8d} z;hg{O3*fd&$MGo{VUYBv;|}m^UlW`JG@89kzKzhy^T$T-V9FU zemx%fHF4RE-&0MKQ22j^YQe`72wNfBCfdW zkNj19uhqoG9E<{N51y<<_N@HHXQ!44ZqiWM}siW#q*b}&p(F!{KkAi zalOGlI2UIN@$p_vBykh64RzET|G-g5e*TeHhVguR(**l~JKSRi#WgWu%sT~foH2WP zl8=sUf^$>y8uGWT@(zUl)@X2h?suL)mB;eBd$IsrKH3hhHy`syJ~_srU!J{>aj{2= z%m6Pwl;iCy2EFR^UnlaHTYcFlm7o80ljniN^=^K@kWWs-$BfD!L|nbGJZ~O72bZgV z7!97Vg1Pr8{LRZ4>7{;Yuc zZ(D9yOxz5z$kRPu4lV-9EF$jJ&W3ure_mqV>Iw&z5f|rLfUAI3(0fUZmJ+x1zX6x+ z|K_uOh?ngceB@kC^*@1Quuw*!KHJ+b8&GlMnSGRt~bBo@& z4D}cJ*7EV-`Zc6CGIPA@4?}-dNX@Rq?I{oWnD47$KXg_3c~x|r18&3EUl;v&YD$LQ z>k-NEK5C1jZP0xz`N%(#QD?Iv5BJyq=qkhw^ns6#ZNcM^S_=0mp^Jix>|>d$z0u?^ zvhZ`D$jyGXO|2N>rfCl7)yv}Omub)+^_OdJA`iFdH*gtKc@F7S0KdN|KYso(?|+GP zZCk8@-V1DuxT4)m+>gA1TpyK%pHoDw_81pkj{9k%w(;|7-{~Uje;~ z>dg1Sax7vt*+eicM|FBk7iI=nCM z=T|PVPve2;ue_L(;|>`Wg8Y+@alElzp%+i$ z-O%pc3++$-@<)Cz)32st+|9a{yU+IY2;PQ^2 zCawlNCgPPMd0es*1_Z>?_{piLPvSsb!i_= z@onWmURQe$qQ4?$)hgnmL+1WF>jdVxd;51I;@*Uf?Ef+=^eVjA5c1b9JCA#f7tpKg zL1T!U>^;D3p8eoJxr%HOZO!sI&3N=S?S`w~0SsTy)m87#Fd2B)I9E4?gOz zO&DL*p)Kn_IRm{beh}O&f5vf#^@Cpa=@LW!u5f6k4}TBwiYDSYQ16}$?lo@;y?5z8 z^3i4&*XPM*jEh}ZFo61{hi2~QEiZwK5^uVYzdFSCJKgjpxK2)*L|o^XiE;5h>dE>G zbt(~;3;e5zj}Wo^r_D70_pSaKn%MN-Tn2<$fMZ=i;}s(A(1= zaeq?|EGNC|6?v1|Rnr@IU-RO#Z=-Yfx+D99H^Ml&VqGJN>vprj&HU!z`pw|ExPIbZ z)*r9W`jAheiF-5OfXf<}k&g*mvz)kiRhoU$i$E{7u8trs`z>d^$MawB?lTj-QeSXa zY#G*tJ()0_xPEp5+m7p&UnNfu!eoAXO3g@*<81#1DKmD(A%^3lSuD9SqdL9 zuqw~PsuM9!yoeh-uZ}mtJ|^ll#&ephkP2>&J_EN~e!=sGsZb6+rv5N+eKOzNlnj4a zz7@E=^BuU?yVYdygYV!YTBL)!GLIsO>$YW~cjNi@1uyy%_8GBhD!6RC9qZMq4<}Oo z`a8~3-Qf2!o%#stPL;a{f0sWmug3?^)*x=97N~AXqOgw`;HZ2IIqc+9iqc)!b*VoVSd|uWcTz|DP75W8pHbCFt7W`GC;^>zS z*dCUW;UiMZ!(S{u3~mli3TOXs!QJ#+sHeGIX9n?%eV+4wV|aXbY}iTMt5*toZ%#V; zC7;+R^0)OKBd(6EgY~OsT#F_y{YF7=()srwnbd9y`N;RXg6ok5IPQS+V~N`XH8}2_ zzUZ%batG@|ZTbRw>m1^m8+q_NV73La|Bf}#%bNrGP+S)06&8x{1b#3S|({U(w0`c*LJ ze|RLg9@Ft#`0wL!w>dYVo+4Yvn3N2?m*suP-in{3_tg#DRA#Bf4}u|)|h~}<9VMn*=nQCUSNDp^08&xK<@@-0~ecbk0!lW zJkvi9|L)*bE)WO(7|zqX@tpHq7ZXI>bbNqux0T*9f72Jw!>-Bi;O?Ky-)m~5pqqHwRTiQ8&(FdyWhQkb{8?0{W<#B+QGy-v^k-agFNm$(XH ze^K&d_?wYF&B#YTaNMsEb1?2YVDcj3qEkV!Xsl-k0>;#ivMT7L~_( z(XC&z&)Q^OFX5?Jzp~slaJen>J8HiY>|eM$>p#f+KZcF7o06Xw|1a|Q7MH_1Ql+bg zr(|%wDi`#kjUW8=Enj?>u)h^%o<0TZ+BQ8l2tE&PgPWue&eOU2{J;`An!y1W7n5)j z+$-^X6>(7`3-oTnU*~Xrm%nGy(IxSH**jH~d7YN=#O>g8iJGgLwW?c{+is2esM%R3FsY=wjf;|2p@#Zz}d%uilTG|Bfuo2W-TC;uVeK zJfjX`KB%!jtff3%M0ao*|KC|U*LfOY+}+y4@R1u!@_d`l-zUW~4{`0y58)%X73A>> zS_&WWlE34r<6V=<&-(NITK zR+3)k<8`e@oI_j_B$kri{1D1<)6ODKd8#Ply2o$04wo{&yH-fXeb%nefw-O-&OZHq zPaq$;p)`E-{mkD*cRWp^xL#Z?aF<@d(YY&q=Q}!@lbcx|_YyvCSF`QJZI0gHG6(N7 zCdn6in{^@Ub1g=lUE<^KNiUN7As_Pz1kf8(pe_OrDVumIi3%4 zKmyml&ZFYQtYWHtFDNpCi`OBF4$Vcqxy^grI`5E$5ExO~qMC9)p3Vm`UeAE>Fj^PqYtbqRV zKK9=}9re^PHi@{&(wljI{{K5&OwA!K_f`S-_M~v0j~avPfAh0`;8t)icddEwN%@BB z&@~lxHp_osLtGrM%K9Q7KyP-Po&~;y`)fAcfZqG71GqY{fa6A;&-D2b^G9d-4cz(j zcU1fK)W^v_Ak;Yl>dAD{A^dB$9nNDW?e+wi@nYBq_QvcdNhAub-UBxulD+&&Z^x&tRpj+ zpO>uP1aL98R1C$nIve!%^amJ6ee2@@#NAyN^%OOV;685tKDv$cq7&C&*B^@fMPd-f z#f#2-zbIP<`<0F>g8RES^h@~b`6c0R2lwQQHD9`xm(iZaUv-OWcc&WBt26;IiJ` zkz7w73-1SnJ$Q{Qu+UI^t8y;#JvxHg1@U%5sZR)*5G|!zQ~I4)!F-QB`z1AVE^C$;C`sExyKMTKQsGCaf6i?hts}CR9{V=$z)D8QLOwU|j(WRL`xoAkQkMR9e+>OIN z>4y6UBW{XeDK!P(*4s5^Td1a2=r!9 zI_sa;XhS}>Ab(Hu2DAq^O)ACuWpI5jAL?eCl?C@Imt02t|Ns7PRzR*^d5Ff}`-8u8 zyU&j;rvLXgPsMTKrcKssbaX!bSEkVUgsXU;6o(S9uZm)&))E&bTc(mutv5W+$Bh4u zxXn=+@2fKG5%zy`W9Am(-lI_Xi>f`b9^K|Vc;3*R51$|(*>DN2)1iLYS6ye1V_K zE|bTdqIPq0+iK#j{%&x4@-XK+Yv{Mc<+oK(H$BS_`Ku0z@R!~4gWKB^x!=Q1V4sn5 zzW|qYTO)rjbvX7D{mV@DxwC}xkJ_9>{%Z5R-zg7!e>CdmW`7!qxFi1hjkr1)$Llxk iRxELyClXu+0yd*xis{k|9NRb07nGb88f6#M+d{#L!exnZwt*Ut0y%3tvtXfO2% z?V{aWv^yQoq22MRjCOYOBii}88)#SIpQ*im6|~FhbiY&hOZ2ZUZ$-OF-+JBp>pIlV z|D1Ep_N(9gjduCl7PQN!Fq-%}59U6(}t&k01_I;rg=%jFkIuk4j2+&q?%b20JD{(?T> zEUwOinv~}cJD%BgG28=rF$=zXY;}Bo;WzebGCv|eVqsO>C(E5aZMieN$v^fg%Y1l| zk#iMS9$mG+*(r^6K5?`P%8V_xN`ix|J$ zz4kTqum3z@+xY?UxBYEGdgCf5x}iTYcQoQRX;pAPpZJ#YK57$Nf>4iSq z->P0u4V`yn1GM)pcpKLpv0sRsc4zPZFfTH(S6<7RX^pzk9m3Jh-n2tJyj+Frt*t(! zKJJ%C>f{qv{wXi&gwOrwoo&}sir{_|l@INrMsdVrZpA;d?XsgA;^$wTN4p;MG~MukzS7%(I$*neH#*c_1T)t9KXwgMa!#)R|LxHr4l{t;=n@jK~HT`JN(P*>QKW z<>q!eIQxDN=2I8XUIzVwNb-qZb-^n~Cw^+IE!X2NfU8A~;A6^su>m~%IQh(MjdjTj zjfTJ8vlg5WczNFX@IEoIRxdYh!hDM@nc&W~rk&waDF%Au+vA+o%fwIf!K)BweSN8Z zD*y45<<8M5(2M$EsB8A6`xMJXIm&~odkuMDy_aKLsws`vF;!51YS5=8(BIij@kci% z-lfJoQ^F4V+cj zsNmzV0bD-#51bF#9BR3U>H%(!twz84ZsriL9Bu~v27ht=SF}47oiOOz{zN_pmZ9GC z+>hO@p5;wI-ejAu@NuRuUTeAf^c?e~=YI_@2Kg%ZPw7McL32?5Y}Vwt)?eM6gn3bF zGV0BIIJClYDMM)NY=tX!7 zaN{-)^`l%FxUTj+arX-gtX`~~2_Glh72{ADw`YKVkqo`OMEd}*_$ZnDSCRjHPmD{X zw%A~~9_@j=nUVvMe`m(gX_j-3Q{+D(0sDh#u_w}UHS0OW-}f@@4>2QG!RO~&;5vFL zxE@38ekbMQIzJUkY4&JKQ$eSr6$PjOy2 z2X0cI(!SqeI?dy=O=rApe*x`c?3F(*0e>^LCdQ=$BNtkKc{rBh*H@_C{4b8QoOyHx zH+4dgXEu7qbjwYbJmlZCE4a+;vf29UmmL1;QERMI8BhWHuyfdl##Lz&xby8`+Ly*q zzbtq>d_-*RY1UsP{DOY@mI2^uUDizSLjy5h=9ar3##X@kau(gAIDOoy-wU7M&o)h> zaaBvC{Iqt9LHwzsz@?KHT)KTgy|Jnv$iMAX?5kqrVC<_bt0eK)p*RQV{@?V+c<;6( z|78P_XPIx=9P6*ui|EA!zw>xlNy$<`~8 zPjO<{cCVZ~^QfZ~XZKLdqZ%yYk$=}qP4qA33H@G(DU zQav2lhjqbg{zq{ptphhh?$LhI#UFZkApxA{BfVNZ7ka+GB=#j!_RcKp&v_M!C*Nvt z{vsLi=u`B*p~s!VxSX=rXufK+$GnR3%d@;}9hc4uuvb=ZF>$jC>quOVpKAS8#079w zNuQxNHLAjg1$4xE;p3|#|4#NoV!-w*F3}rhY?Sf$PBsaej~$t5d(pe}X#?`%XtZ_2{{2!Y6{W zt%1<%69=H@@ukVX(p#FB6B2QX^||MSd!3MH5jGQX^6$FS{?PPTxQ$aMltMgw|2N2k zG{xH^{u(JX-g@0pZ%jSMc~5@jP`|BxP*=J|?s+(^GU}T<&1qg1%3t8$^)-!)Z2{*` z>LE`4AroBmxE(Om=r$-3lQH3`n9%q03f!2q;ErWPih%5BE%hw4RIhaSyLci+# zn9EjYYNc(pS9L764u4OB4=aBOKF-Kq@G-xxqjk};8^)!2O7yE=<)QxDHu?#EGrz}g z6Fml3kuYnu<>J6E=vQa{NbzT{NVJ@#-lw`>T8yqsjxC4Y=QZj5PvW`54#mV-&Qp?+ z2klc5S2^wWm<-F^b|6lj6in+q&@%*$idE2BEhF-*_1;StNg1_-zk9cKD)NIQ|{pIjCZL%nyXENIQ z^Y{OwI$0k^@i)KI!*VsL1;tscDz2>mYv`SdClHU`bBXeKs${Iyn=SNyCnNgP^ZLAN zlh3SEtsmB!_X>?uxR8Hh`ebmQRN~XRfb)TWjRQaCjl2u@Ao%Fu0UNw>Y`Ak2dba)s^rlO(?BXnVt%+yFOhE|1jFeMBOTwM>Xb3oaIiJk?>Jt$C19o z8$6F#7@d20!HVctAM(cjEL~4g{8>S`s!z`%Y@FhorpN;up9$`Sv$2+&n5ytMQ`%6T z;_l;I%`(%et|lD8l@*_oZ1pT^3+bLkpP*UtHDttwGjD_oH)w<64KtyRb>3<-8-Ei%b}uL)5ONI1liT-@>04 zRWv_8jzB)uXgA^yGiklFIlsjAtNdz#t1dNZe9hlOue;KDOebHUx@*)2&lmapFN*tQ zFY?bfDg zIn@p0HJRJ{AkOygh?7-Yfqj5`F2cD;<$H&Ioop|vxADdOtX}vZ12+qO!Dar;W{C43 zohz7!2jW*FKhrs+dOh@OUcEy+V&}UE8y6qpN%<+;ocznKn~iu@U!XkHr1xp%7Z`zl zzok0YpQm8nS)Q$U{)$$?6o1(Vh~M11x6!jS z4*&8yNq_Ac;#GgViL#vCp?z3g3;-9$+`$F!0KFMJ30y`EL7q)Hs(&#ygzEWphd}FN zo-D+;ROgwr?vlQPUT;&B=kqS`F*Qn0L!6iCyNB338G6~RJLcDX`vdf1etXQLh-gFn z@n+o5YwQH){$4ZDZvwq{$RT&o&VG!6p1C}L4_|W!d5~`Is9Ra%1#}{=Ag;1-86U5l z_|?l^(6i#h!PPHaP!FcsNBlMeR$|^|3m$Cy6$kdv_^Z2O-sQm;3$2ftzk+_~2=nD+mq9*tXdLQ6ucG%Fne9jCiW;fwtX@SQ$9Uz??dNP9j@vWr+d7lp zPub_*;IiNw)F&VI73C+s9qFGQK%MZYG>n&B7)tz3=}7CZ$4;lb`R)W)ZG&f6&UXlK ze(Vm`1+VyaJo@jy1o`53uVK8Ze5$tGyrl0HY$(;g6LYwm^${28c_EiofnFZlJ;8FF zmHRyI<^t{vjhzI2xnLS^?dw=CqVJQ5mOCwS&*8so;@cxez-Rsy8gJeq;C%5&JRi*t z`mQAYxCMWGm*c(3@uq#xcy~trd8Kt&cTVB%m=~2q=V51G?bYy~9z^ripU#JTZW882 z&;1FUcg+3wf&(jQerJp&pY|UykD}fYaNf%WTpkUlb$3O^Vq8tvfE(2g+;omkvYbzd z2N#tCs7{Ke#ak}!)BYyL9LKzbs4^(d z{??aYlHP^J<;)Mpe&|eHPWl1Q&sv>~Dz(#IRi2SI?A4U@MV#8_a5Q|BCY~}LmQI5{hmn6<<=eKzh?*PU!PM^ zmh+fkaNTPUxCxyQ0sX$);4J1C@k7x#pR*!`sb7!0)Nj`wI8W-q0$dy)fqvPxhY8k4 zoSjTQ>mreF-Mm~NcwHCh`PE4Hm~(;gh^Ju+`9CQHAFVQxH{LM_TsEZf@`s(0t=`BK z8kcux)S>Cp67SLChXTa^8;E_3mz*A(VdHUsjrlSzC9%Fu=`5T#bkB~Y-w+PHOe;g@ zgsia?|GYGCXZDE6)<=F<16-{y1|Rk?8~Y49*ok~rl_vk-mx0h9N&?rf(uhBKKEuYZ z#^odb-)|#+=gVVQcVf$z5&u`ZTm);3W;NR~f@}@d@(|b^Q zXRKf6$}NhsNXFk*$AeEywpV$mKKZPC2JX0=oo_kYF#%i^-F61PCxSNFt7`q3{4cgZ zy|M5*DkF!RMXkuc$vtp+pw?{Mcj`FBuSy`FdXgvVS?wM}{x7y+zD%EbzgfL*=Rx|< z<*?5<18?B_iPN+=xcIL>?LW;T7u$Y$@>0?lsYvtH%@gZF7oP^s2DlLK{9=mr7sWcD zUwt7I<26UKkvFz&5cIr59{9^$&!ersb7~g2DSH%p6<;3vxice%cv3y`5zj|ky-M2+ zu6}-s?=zz1b>vgsr+RQk&&EFEV2R^LwG2~PK`{NQDkN)&6#p7`ST;BGgbI~q8(l>lS`rAW8 zpg&p{++4~19v-&_?=}2LG`Nf`k9@Mwjx*5jTG}^MB7H|?J&N@Nzcvwiaqmm$#rd(<78BKk3k=lB_lbGwMKdgliDu<>E!ziJEW zP@j4Ze_5q1>36tbJv!4nz(>!l3GVc3jqeH0qwe6&vfS^<4fo(&;qU?A%-y@;iH-dT_KpB9Hxy>hq{+8=sxmj3;e z2i)jqxxPftHC6I!ioaTVC(BJt?z$ee1NF}i6hZySliyK1eM4y7d3B#@`{iW|lK-A) zaHnxW=*7bcq<6oM{Y}p-f#(QMIYIh1gRn0-2WExae%UX>z|GjTh@Y>&fcauY>tb9g zZDSU6s}7+49oLfJVr~}Ji+D7A3F4ps20nUX4Xg{jChw1yi-;-UtXU(>yJ_2apym36 z3-x=qBlN;arRTzss-(~T-lE5)1ZU*vWnQXVmbDb?S_e%-ojY?rLC=>p%C^3|c!%Zo zYT~9MPI>wk@%*EcESKx(?-b0Xyx>mW4D5$ulNa>7gWGwlWB=P7Z?B?KN%*V3N+O?f z=e-FTIh@z+3NE}S(!4jzjI*5iZHAA|9!SrZueNW5Pi+a#LPmnC$)H2z~}rZie~|RXOKNBU>=>FZs4pvgPyGp4YGQ<{S4NN2&#_p zs$)KQk9KBnqkf0|gL=>#$8JD8Ek+YRK;MP<+EDD1&bJR}U2p72_4%m~o@+Vh2=r@w zJjkbN%dr_b{VJ6R9~Ju^`4lNJd#%5&njd;+4xQUs!F59|7yc5QM{Yqrwa?m~*2hV! z3Ll<#1$>-oVQZ|OkIh~0J>H{VSt)6m)$1Ek(6hcb5vTZLF8WnN%21qh>AS1?I+&gd z|5T@V?!>@HY?+e)pZ862^B_^T&f}}ewqLQa9Jq=uL+7+Bx3^es>ZXB6fhqH<#((_w|gHcpnjY=(#DX(DykWIx)ifuqT%({~_ZsE}f_D zs*D^g$Bse#tYJFE|1!U))eE;3@RvhNP@M-9#rZ*$Jp;XNcoX^LGdp1YI%N|nKYzUg zXa1fz$2xt&!R3DX_al93)=2Bme_RiLr*c=sqk`N}=cYNW7pL6dYgVUInk&S!BY}Lz z<$iappMZHZp4s5)#XQRA?zPF#r_(;hCeYu*IEB~Dv)n9f13gds2XUHP?ZNqfG>@X& zUsNY03($MPU(twDoTPJ+I$dNv;=0%tKB8?C=w|l8rO&#m`DCg13&cJv?KDVZ*r^)cDyI*T>MJ; z=eK4fe)GFK%}Z~3zRQ8_u`ls!C1R|P@*P6{=jreBoPY$%+cDag)VVcO=NpQVe^6B# z@9~CMM=GTjo>MY{o(rm_FF4=%X%_NuiOyZZdo{Q?BBLzVm*{+}_Pitg-8{3Qe<9#6 ziY8)QYUI-imh*jd9x%sBK`+|{^zpKJ{$eWh?D!Yp%x&f%%k{fC6z7AxSD^be2m2d4 zk`Aup0*GJTGRd}^@$|l?6H_o=UNtP9E_Jc&%pVx4#=|{;1g=~ zV(wS)mxTs_^8!O7EoW!@fSYk2(XSI;cmQ}%0OpY`8x7984OwTob1@74Y_TW#->*I; zBZsR5IqFdE+*zf{>{v{bK&1&5jc-&h5U#m&NG@G$g_yI+{)yl+vA%eYj4 zUOqXYps#%ddfER4xT+Hy2;R9V?GL9~W4-XKO^Ymds#Cp*vL`WKUE(d};VA7JPRk?M zZ_WCfDkDd4raq@Q$IeDPtjS_pzrMeMtJAe9Z-+x^-{|lG-1$(I>M*)cjO|x!qw^%& z9EEs9>VMc*RjI}_U;F9r?zmsVO6c3rKCc5xV;)t<^E)ipp0uB+VOQZ}CijZ4T%M>v zc?e9ydNf%{5gC?Wp!Y}fZa?iOpKq+PoOjKwpYo5vRi13@C;D^)_~<5`Nbj1WtzNrT zCZ4wMob8XzeS-bK>equV+CjUXZu)fT~va76K z_|ZNoir)w4Ux(p5rXKx5@z;Jr>+zv4o-byPKR7>h99+0xz`7Gx>F>*(QL&`2=#O#f zqJ=3xVf0;#A5NjVeL&yAc%2x;DT8jOB7gnp{Y8zbjJh>34HsnO#L2hkuJ^KcXdZ*A z)4KDaeOTWA1M?!*w@!q<_a|DXK3~I!fAr9ni(VCJT!ZMl3d^%8!E$G+C%9?k3%y90 zg7;Q6{vCWwP&0~W=ur5JBsw2D2PC+RJGj#NuUT8WWI+FG)@n>Wle5}|1|L^~~ z45$~E@P246x5c?dR=5>o|K3|oZtyqiW$t zJz>@a%VqOK>i1-UGxoQh6^(sfH0(_GpQr!7fd@WVZ2eh_>(FuLj&@n8fwcFT(dE!D ze>xccYEfc1^zB{HuRPK=%j%R@%|({$pYMaKKk{N8gv=Xjxw$w6I^BB$_21$e#>H9> qLcgY&C;E{GyOMraK^p)2=4e+*OP5+7XY6i@BWV}>b?I$OGyV?}4cFWN literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/24.npy b/MP_Data/pose1/1/24.npy new file mode 100644 index 0000000000000000000000000000000000000000..82e5188ab9d01ce6f566147eb46496f418816daa GIT binary patch literal 13424 zcmeI2_g_~x)W_q%0k&%E9vDa6d*Jq)R&fukqPS`tP~41)8zOG&!i9oj9Cg)Mx2VLr zE$+P|TI;BzTCLiu5BVJag6G%g;g|cm@0|NNCnw2C?)@^aePFwQZkbpV8&j@-aAd!T zat(O7Mj`deRp#YFhDH1k(PwDyVG;d<9dF)eaAa^gj|}Y-7My-xzJ{M)&B_%j^Ktxt z`{&Kl|1KO(^Q2#RQqVPb)vt0qNJ+oiT%Vr1dv(0hJzSe^x{PaD>-(_#rM+mauluZK*&>-_3j z7c-vsrsw~l=WWCPtZTPra$j**nM}{KO7y(l^38q6&Fh@hzqei&Q_}DGRC-0%Yq!6ZKs#?j?IKU+ zhmOk;`F?j-^}POJ_q-bUANnW1*^0PX=0g-`c#?7Ltj51+HzSrkanG6dNtBPI;Ro=1 zrW-VFGre}XcJ^k_pYE!kbcTO9d^72-40`Ig_;%@QT(8$Snd0uVCZ2NlHtot;ca;;8 zkwOANUuGUZeladmj0p`8w6< ztDg#9bpG_2qj+B38i)L|OlSUb?Yx$x_-C*O&Q2^{hyKgE`8K+C7BMFX&%b*FzwG5E zYM*#vljCyw(VloN`Z>mpH+uUKe6G*bl=ODpFtVY$XZ~MfUYG^mpKw2T&^mXuH^XbV zt2k5;{`usESw#B1UX_S(Q~mp9hW%2CTlh~#yY%XE!*N~fZCaD`D|^(4p07|jt4P1K z)uU-W#(BMS?dJDZ=(k+!jdqh*8u#YcBY(MeKCJ=bmly7!UB8M*hW?ePfc~*UM|@)Vxdf>sr$|+`9ggt79{RS!da}=yh1Shw zGtb$Jy}N1tPD{mnkd5~QIL^mYzD;zmOCD$UcHIoe&2i$aTYtx>6wn(&kfm6 z?oK@P+$_g+)FHATlmu?$cF%!*X3D3y{hIWn#z9~BlD+T?qWX1geVntG*LOlkwf90k zbiHDez$;uMzf(hLer=nz!g1DZKDgWyOnlAbM90l;3HIu{Lx)4Ezc z1o_v0Tn=~k>K8w7>4^sCX|Yj`+a>=X4lBok%e+&5a9qAm05_`&k^PpsEn#0~J#^F@ z4>*g9laBNJUxAB7KVux_q|{i)^_uU={^>SwyQcqG@B{bBZ_g9p{AjK5;O%x$Ub5w& zy7BMsQQ+VA1{cLN`SqRs@=Z3_%as*K|MKb>$5~i!=<5wLY5sp#V;c0YjH2;MjKzGD^~%LNZp~P5 z8&@5EMCZKoU|*~xxbaPaJ^SS(=BN5_7y7J}7ug3c!MqY%8jyaVhxpJdaZX2X%L2~& zwkIAv^hd{8xrvnL;rTG%*y2KC5KqJgvLBaG2NDmgLOd&1l76X9RM$U#zS?mo{~>7b#{JdbD|9{F*g^ULGfli%wR$g|#ZXr$w6 zT|wxp%dNp#t8dpkeOa|U^mR&GtW!HV4RzJ-`VL$MO(0&LgYzQs&=)fYK}Vf#G6H^U zZlQR}_5ioTZ__vq9fba>)_u`m{^kMJm$?3d?4ue&U-nFfJ{vS1oM&4Pd-ZnG9OyTv z`k)H>kk0fV)GPZm2kcGr2dJyYbRX^PW!4h#D|ScYJfL>$?CAQ-zG(@2Q9cBDmep5c zU8wPSVQ(VxAfIZEU!c=rr4{nVj?N{&Umcm|bmZYN$d4HRl`XZqk?T`C%Q2e7Ck^b>W%tMpt0oT@3RP8zD|on{`W+K+mYXqeXm}a4|2B``Az6a@%;G>#*u&d33)J?!ofw+cc?RB z(%+Py+Zp@docXjrmU%?>=Wdbxkv7=JdA^MNx2}cp)jKWnU^b9H^)McFK+W)McJsm9 zIYaT!nnmMS{9OX#|LQjMMVVgEH(Nep{(iL}xEgQ{H&wCFrPPkysZh zH52qzuMOb*-7t#3`XJ)pZUQ$~qhK%I&xgL+P>AYM$fF5PUtO+9e&d#bo7MB-SEt+p z=liZwzvOC+3oF}^#`R$0IoD4cemU4(`2*Ugc-?(iM=a+$tamg1ci6M;nXq1jPi^E) z-7}q0w7 z=gJPMGy67z+ahnk`TGl~+vY$u#3`Sj0%w_KBhPy5ba2~k1o7J^V6RV}qJ9MyBb`~} zM!WcR3e6K%yf*Tqdj5bsv(R{oGrA4pXHOoFcX5j89Py~BwU7re0H|;s?KG;g=hn4)e-PI!$&EpL37u+jENFKEIE6 z%*IZrC;Y2Ph)0~*O7Rrm8{~BC8(-4#D@*qJ$x;`O*qT7=Ep@<6XQ%zvZ**5)nd+xq zOYe8m6HYqEdP0Y-+kthV7gR^T_@@Dshr$e3KBy}8W%D`^_p%?gv(>McIDNJ3F#M{m z(G*YQ%;k=oXCIMgk>pL+-sR#Q7Xf+b{>L-4?=;W12yu4YhZISx8}{`aT@rf~^)Sp6n4s>Cnig?8Ia9q_Fe4>j}4fDV+OFaxOeN-6Y52yegHjL&4pZ#?V{0_Z<{Og^EY5w{z zTIK9*4w{Fm>Rj@>X+Sk+Z@adJj(+qV>Yg3>km78$6oHsju`q;Zo6 z$_{t>I@8}&H!hY#f7P~z%i(ttor_o%+W%!>S?s^6U44pw$|O7|Zm*f+;t@}4f~y@T zz-{Rga~)S-RHk_9l%xK6+93Zr2knFQ`ZaJ-z(eb|=2^rkJe{G#jxC!AeXoPywqaZH zd*kIK$4wOVOLp=juFg(|eSsmcSF4ZVJY)8i1efnyU_989O6aexySXFc9NGwR%5^JI zA7r7M*vDl7I(J##8u>S}nS|ftmnoiS{lM9cIn5pC{2I8<-;naKXhy8#^5@z#58~e- z9`$AN1dogVNelQ@yP85rFaHMpl3!ZVX;0@7X2bB_EixU2y~+6_#@+N~z?e#)zMtji7OlEIQhVb z(6cE$$$l7}lXdh<3cXc^!>+{Ss^`6XH`%5wORU8TtRba{`AgD{d%$h zY^@iq$Lx8RK>zq?aNYbBjbrW+7#A72koeoy(BV^uVSLTXAHdc4FKB$pQ7`X9oe`q^mEgGr&CKIKdSP?agNK*TQM&3UNm%UOaSVt@SX*3*0m-5yMF}3 zZ_M8me{K4%rE5Pxe&laH_nm*f&A?vPUl#A~b-j*9Jp!w8@SRn$HTtab8scnz(uP< zGaWaX^HLssicsDHX3qt;Ex}cj(TIm#tdZon9W{n@meBgM?=s#KuVlpEX9?xA@!AAu zFFNjrj*c!yI*FsVI<5|kA-{97QyxMuuXLP;B|~5Q*&XxNOlv+6eiL$$-}S?&j`1gR zQ_}6thkr3%CfFD2#`cQEd4s)f3w!p8em4;pvf!M+Yea(EW~ZRTBWg!F9l4?+xISGJ zI>LwE_pMKR^1G-c@zAG3ojsdI<>EBeKZCu<%xJxQSdMk4x921MI~nhf zv$wBuI(Aq;67y!=C z_M`Q#FHd*&Y)BxD<5vy9Sx6_0uiTss_GWYl>V_WeN9(u93(}c?_M(eJC+ClJS6<7H zbed+PI78Y`cbpZbab#o6d3SF+9$f3LvYc(|E&$KPJBywc-8~&H7s=|IRCCZ zjbqxB80S}2qqvWts1y~duNK{wjzU$o%rF7$LYQpr(pls3tZH1 zO1$nPI?rFu3eLQ4LWi9%j&;Yke}X<6KZSTyJ>0HDAJb`&7YAqvu|G#mL zW&idKM87gG!+hYUJjkc`IeL%B=|@V^nLyv$MPmIvj_ci2XIQgZ2soEeI` zWJ@#bU%KQ_aGm%I;+JbrqMoqd>Y!gHY7f?t7#N%6bWFcu;9~GStQWI>7}l?7lo?#l zu7h>KgK~^@_EONksb)9AxZBW6ebL|hCCKmfj%2@S>*N%tf2lG!-x~^jm1`EpMc(iO zHvy~8y60`Ls^#33HO>aVD##!Eo$9e{f#YUUuFeb2Vh&(` zXP?o&EC)2Z47-#&3GT{27J+jS(z(4ANc`j!{PH#u+-@6= z{gGv_2QE}@vY+2D+}YcFx3FHUu8IDNk*QdByykBBmAjwOe7Nbm+S!Yc2;$4=y9$fU zq#ZZEzk-e^(HrwkeVw*E#o0IahhH7v20F6YH+ZiUqc>2$X5^wg52?G`>9A{`!`_VE zO!3UfEFITJ1`;2) zeMfN)?g+oU0nImAnEsDK-0;UfD_U29j{0m3;y14cB{>}y<$+(;fZms7iQiYbI8B$* z;A)4jb@#G}{TaOMF>t-b7xC~S;lDU8E{y;;8)C5Dd2k-sE5G&NEbHD&up5zt_YoCB z`zD)~27R@!>jc-%m;8?WtAdlzFLCJs>b3~@0rBfWrx8DY@V1t-x1H%+%@WHX&-}$K zoFB~mYm~S0Z;($lb~&xzYjp0?%e`T5eZIswR$ZS=`Zq!mzuXy&_datpHinh^+!t)XX+hryLm49s|Rgg<+%Ba_Afpm zE5);GEcS8Z-x~Jp_ofwBaOYe`A=c*H-FMrKA$DV2h zd%ZLg=OWR5EXC8bFzNeb0cS~@!PW53!R6do=<}<0$^L33aMmpt?;R%L6S%3>lk^8| zoriv1*n)VJFa6(+8Tod*+5Va&g8ws=W~L+gjN$E;@kDt2##))Fo52`W&ajTZckl zL{x&l_~e7Sr>gITzCF4P^GX)Kx7EdC@|L6ci_-7EZ03>}r=x$XPI2xE#{ASVOJc## z)hFI*4b9sgpG|__Z60tlEDPe-Cyv2ht#1x)v#kd=l`G=Ay~#@ZwK_!SA6ue$Zx@d! z6$5*A<_q#Ga`t!J`pzak^(~$2LW+OyxG8l6Tr?RA&W?seInI5@qQ5fN5n9*JJ0-%t z;d@%|sY#gsviS$>%ev`*REL{(LY{d_U((TqpwDLw0cZJ|O>{b{MNf+7jyK}8tA6e4 zxQ-bPzh(l(BjGOgd|w@#JTfKSp4FuDlJ=`c^JhpZey89~AH!ZJzM*xx z{`Nv=udmmFUp*-jbx94aFw1f4`2yT5=m#CXGXH4DRm)4@d~aUlUyOcC^?BnWaFMA4 z^1}`s>fuSZ7a>Vxzwr$0)l}bT$9bjv=$9@~h3p$|R*tJ#r^)a9tXLQPSoR3VWo4@K zJSc$Hi`g^VaXr5*>}C8p#A%M4AD-g$&r{v7>#x#&SLI*jxLx;-;u$xW;+gpb>(?II z18y%>rMx{1oB_XaSr8}hQ-kKu;~}UUG9Zb@Q_iJ8ppTi7CRj^ zZ3VdSuYh@_Uhm!FxTr<-ME&{nhIoai zKe%?;@+|qC91hM_C&xI>=6#NSsg^Uq^^EdVZy(b8vdBcgSK8HIqpm8yc9frSR6lh@ zYYqQt$HC3Vc+?;Eu;wq0^VZeDZQf&;x8mFn$fq4gby8ON7o3-UIoH{%DmxITUhxT> zJq-U5I^R-#;Dc^}t1Ovup0tnYyvn{`0j}%BV;-_8H2-ye`mSa66d2=l*e=?y<&71H zQ}kc3$8o(ni2QD71|rDzh-f*~ioQSx-#ExL7}5I;YK`_fziQ zgmmf_(9T|L%a{)%Kf&It2}^QZzR0MDr3b@agw><>tg)F9kG)3gQ3f`GzS%_I1N9jC zT|l2xi=B>{PUk&allEnv<394kZoEd_Pw=Tv{1(Yb{U+S&y=b@E`m z_;)d=Z+gi7h0b0@(fN=?P(2jcQsN!||G)pE8F;(rf*XG!mZ9E?pqF#-|Ked!XkRQt z|Mz9@b#LS5mFW8r>y7s-O!cRUhNwn={VbW4C_HxYftBySKg?f zrbs2a_bkSImILVjG5FwOc%ID&zUbmohudL(>VQ<@Ek~Vq+?G8}^`uz{t=q&3=N#vo zZem{(pD2F*`3IW+b?ajOi@fLIPZf(nzvbA$RId_-Q#`xYLPsTyp6K+<@`BW#bzSft z&1{wt@c;ch)LC_D7xd*mFT8Jxf%M&9o^4C|(FIY*%+(jLvw>qsKXcePr^EiE{;QZK z&^P|CP|r<#A@rYXdd~QCs^;wVnC;-Kn}^y9SM8YMc>m^zNA^xYez^a;0nlIhkobr| L_?6vGMSK1SWr4#j literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/25.npy b/MP_Data/pose1/1/25.npy new file mode 100644 index 0000000000000000000000000000000000000000..31c56dabc427afaea3195dcf0f6f8388b1cb2930 GIT binary patch literal 13424 zcmeI2=YLO0*v4mdR_}I|VG+I8RWep*_1c)NDyL>=rtiEf3f zMv1nI)h&xBbKUt1p105A&H4PkbDitH=bm!roQQ1OrA_-D-?1PT;xS-gpm%`B&)lQ_ zpgJBExW}Lo0V4zY`Sl$UFkqnL&H4=s9GJobefs$iO!-}=YOPw;DwM6j$MgT~zbuR~ z+w|yt&y*{R>T%s&b!-1eN$z*9Z!f`P%Rg{edvn7TcQy65K6LH&{TH;G*Hh4Lu3w<` zY@4Y)CbhlWJ-YwHSG4OIThK0FQo9JqjQDms`OB8msJ+xz_=_Up_gq|&_6qJ7U&G1& z8QpK6{%eufx|~88LHCc2IOE!7I*&`Z zZ);i9&&*tn`rEYUU!mPjrTBN#KXN)Tc|H2i*00~_+V!XHJsdaDZ;&_pFM;Z_z$d|R znWkZ1cV$yQqK^9Fm#^-(V2Ke)DOYp5b3OOl{N4`pLXFJz4Zo*)ZgyAxqEt0^We*A? zzRA8ctw{N4N7q1Jc5U%Au3faAhrD^)xoDTWL*U1&WPi{wrCncWg!|dKYU$klB3(|5 zJ8zxwqiZ*&58YoaAKJ~s_II4G%`oVdYZv<)(7X$KO6?(RC-O>Mmc?Dotc)0U)$I-1 z`Ns*nl2W*=vgHfnFQolJcA7(Rc%3NME+TGHebatH{Y1;yILFzcL)5>}gBVZKJYk{Z zJa{I!TCw_?XUcEuSy4N#hTkIo#1lSd-HX+Z+YaZzd5_k#ZcFrqzr7a^&a!^PykUC| zMLIppxD);0&yRzv>YJN5&VO1=`cpkGd#3yrcW2CUT$dxx1NvhgiHqKI9T$fuLT~|Zi^#eAnXZ?;oDrD$A5 zo$F!X6)sagFMDHL)U6dO9hdv(lisfvID7wXiR0qPZOWrUX4JVl7QoK@KdE^2&- zd1BsV8x8-)Uf}HgQpA=12fRIN2Uhv9t_{3y@Ugj@D{cUhwInE0AfxqoIgXaH;M| zkp|pcYD4_zVKd?L+a&n#eEBio^wfG|9p~NFLN9XCK490KiF2I&xSaf>TcBU6UD0^> zm#_CcppCc$Ko;Ysq;6u2$=xRf4zhH zh(%N2&#O%Zw{HSNou1!~qCAHVp#7xW(^ZbM!Cxq!6N@p=)d&x)N1kU9ILmyKc&E)% zq0bnN{)_m{7d+kl&#TUJSGlDS{B@cN)Gyylvz=b;TSoc+`v6=#n&RWQE!c+g=YgoR zN_RCFTor}Ce9#Kqo}azm`J3&f;cve*#X9AU9%28nk9&iw_z+sZBP)aRgoW^DaenZT zr)CGizd-`H%|rW-3TqqUINR=v{+b$I=&z~rWTNAI>PzT(-&*h&347pgYK4NED)FS> zRePS(i!=eG|0NT+{38?gE4@7MG<2>W-1UT@)V zbMHrgb)696C6|Jm=E?J2{vvoBxY7N=#qs`_53F%I;s+%->z{YJ)3aZ{pbmWDC~&#& zDE1lN>NV9Tk)DHWcWbOid-f5ySa2VD)$1MfTBO!Ls0zkc9NvdIusZ{x;|-&+56II~ zaIO=*Pa_{TYclF=R}@@=eA3@0|2veY3E6??i``4-dv<;Z{7m1u7)QM_wQfVsz(-$G zwC+|j>hFa$;Jkhy?I+EA!F9)YaJF1gV80Rlu(DRX<{DO67 z%k;vz$gVj6e|tq?KJae`PzN!M<{@id1?x-Atb=)COC&?jrgekAzE=)D;=*3ae|HqE z_wM2F(RKGBA9=L??gZXAEmPP$lU=+=Vjed0g%oU7&s-T_Fv+f>KU0mVS z3jXZKHuCA_-`4r7b-#n#mTyU4X9V_bHLW7@RAHw`&&G~*df9gx<$r1<=_{wf{$Qg{ zf$KjCf$RJ4FfP*H2YHHeRnT8CX9()7PDCM3F|-x(*G26lm#4W=jOwth3hKaq+0zO< zaR+>K;hr=<$6s3M@-bH*BQ77`2lI+YoWeR19|g_tNk1blf8o0UKIR+ra{g9u8#)Ae zs`aPAMaVs>=cW4CPsH=dluzA_$j5xV)YtjQ0fi}_S;e5|Ltid+`S8yx5!Y52a?9zs z{(Gals#w}T+2+I4uUiFr!zV`%@`>Jv{N?PL=$Ac2&o43hD~;#f|K>V9+tn5MnAtwK z>WB_Y5$Dt&h$}jUQvUZYu7H2>lvfiM|3YT?n2r&P;1iG+zggAuc<%7tI~F@`n*EMC zuthm=wR)s?lH<7(k*C@eiu&7n*_Jr2eMm1JKS%!J?-tn4jn@S74{3)w%bwL|JAavh z&L=t_eLs;IMhc(lB4-I3d zIe*)_7}c}MINYbp_;OY&4G_7IhgjD z-5D?+OuCieyb_%kM5jiB;bRAr?-@q(O-K*#L`dcV*aK4Ej-s5b}ZkYeFV>+DM<(!AeQ{~+cu6mE1@APU2?PE5l2gZ@DjbH4z@ED3Z z+sh-N7u(|K`7%D5#@C}X@|4{!V7<$jtH?+EH-h?c{(6|pQ+#Sbakm}{Zm?_#UCF|EV~qSN=2)S=%{?%K|%`!}p4Rn$bMT+!OmAZ~G8= z@}UXfs-q|T*@t=9XIR%w_-$IzxT(<6LCELz2dZ-k5A>Ih3R&T}iEIEL9z@S^eIpy5 zzv_qD6t~d~x-T&r=Myoo3dPO&C%6ht8-ae+p*pj;3e>OZWl(=Mn4T|u_ATP|uV9|b z>VG0nQKJid#I3Pm@HvzOt}D>{6dPm09amYYU#e?u%4frhDbOz(N*-S%|4j_06f z8R@;ro-T|2nk{}f_gcTY$lu&tj&)>5?!x&;J*W3L7SbH`=h2V)!2jJP@*gI_#mjV_ z$S3R?I2%vrM$=_D_6<9#2F;I3?~sokH5&7T|Iie1(^0Cq6!*ci`ANA}V#>KX4iTuUNQIzM*52Qa>4|Ndpe#7{x zsR0YXb$^9*Cx*vkyhPe5;Hr8a@~<}`2>C?5!f)d}lGbU(5tt{eaTn4@G@*6c(G%RB zrSA*2z((Rj4u?1&)xHLeZ=J{R<7e+6t{jtkPA>QYbx=dU$Gl~eK0#+Er^8kBEamN) z;v>U*A}$N=PyB~3m_MpuT5vva0nNjoGL3L?dC4>AKg*H_%|+OH^uU4$Hn9#x(64}#u!#;$UDx#2SPcTpntVev2k<09Gyf(vi@ z9>^0vVxEh6g}`;ime8wN3#K?9KI{+lS1TWITi{Tb+AZhIBL^HKen z`rX0*5&YGynhBoHr{wpjvnk#V^*8ATVBN9VovHp!zd2XgmE^O;W zjEk5Y3B7*iN#j^~JdN*`-@sM+OyK(OcyPA25b+mNz{Qo4k;wnq3gS20f~&4WRw8Z} z4bDPFkgXZTQeH>Omk3AA^w5C4AQ6%>y~M$(_5S6p^MMH+edo; zHjD7P=qKoTR;sgz?-A|v;$1xSvJQQZ6>DQQJH7hO?}59DFW$&gEa*JN{g$QHfZI~T z!1bw#GaP4?Z-KK15}fzjG!MMckMOsv(~-Vw#M}ILvWgco*@V2J@fy zHQ;7X2)Igfl-9+F=L-7k&%uqp1+Kyu&vIO4&Pn|mlaK1TuWMf#o2f)8cYX0RG!^dpw7y~}#Fnml28b|Z0#}>!Msqx?{M<)1-)v>D_ zR~vRyo?cyPKj9Z}UKQE1P}~{5*vC|)h=&8?ufPiK?9 zVGz#wqRnsQbNe_r`?bhO=cA^S0oNr8z(+L99qzcT{VTXER0Ldx^}@QA^J#qLp5w$5 z<0iQL+4xM*o5^o!-F@1Lb!QIdARoU*;KH1YL)|8Q{+vHi6zG z{xmTug{#Z-cT?Hp9k@(7HVJWxpQnD6D~x)o_It68)KZ!!V$Vs8m;T2lB2G&Iy;xQn z`;5H9aPE>-^AWE&i1ww;bZ$30qQO;V`a2Q7^#*Zmu?gV1Suq;N3VICkdD{m4vgPKY z4x;o*)XlV}I;#WO;BWK%jCsX9W|GgqOVI1@_78IX6%`g!-1c>e?>>v?yWL<&KPK&Y z#Opm2^;CxkA+DSsL*Ipt)L8D?b>4N*%MsI2XQ`6?95*{s>;GMG)Kfogy3BEPd?9>9 zQZ(Y4m$7Rcw>BMo%=}BJCx4VLBFXubtxNf2c|hyMYr<6U>=In;r1PgL@)GMsWUNYD zx1u_X+lKjOPtF2YYfGV?w&bZ$7nglc`-b7o!FBb4J&{lHDClJ&T6bnyOfd8VtAMlI ze_`ILvg@Kx^GC?9p^o#W*!S-# z?zs-6&wdec*{YWC5&dg`%bE{;U0ji)6FARL^%1!y1UPQ;rPlv%davaAwB2@lI-jdv(A$WLl;?oq65M|n zxL#ZxT!gpn?0Cw1JGg1Rm&Sd{hxyLm#I+-zkcr?tat-P)-)04u@e$x6>OJ&)crf|5 ze2@K&*RO^7EPuWX&Rz|3JkpC1bs?IaO)jyZnv(-`B#rP>(Z(IK6H<4qP;EK;!;-Xn(|)g-JiQ1N372z9}xQ z%v}!L-td9Hc|8N;qJOMOJ`Y!)bN8D@9V+1(mY(XLrx88xHnmvjxD5*fS9?E#n>wdf zIIb&l@~@s9oV5-McU6}URJ zc&g*3tUuzKxxK-K$47cTmZ(Mf-2WcjOrGHn|BctNUih|3=r8~HH`bl_um^GF0ea7} zGcT-$-a8PSg_c7d*r}!1C)I|R@Ui}#FyCa8_bZZIK1+W=Tou&}^UC<$_H$fKOoWfA zk(=t@JMS*%FV@q%RX2YJ*Hb_Daa2qbGdAsTGLZ_D{mO!s}enXx-sVv29U4-g0;1BrlJ$Z3%w9n{#BIA}JfA&kvGWaxa zL~-LrV&2-mTjE??%RIoDG>PdXLFi@A~`G>mBEX z6G-2C|7G`EejKm~d=5P~%}?~cZxTyRhL62Rlz-Fo zIhQ&0WaHdiKY->zmiNJH6cZ9(p;6z5|<&NefVi#Np(#a2lRF zc1^|cNv@um=)7k`Go$`&#rpY7iTLE>JGty#RvjViw=+#q+ zFWif`@?L4gH4z>dN4>CJNBBo|MgH2S9@Yh~QyBAH9HaV+H}lb7Gwn3SMeU^Xsyxvi z`;sowaUOiq(s|n!EDwLa{4aWrR5LVQM|aZtP2Ri3)77(9DdeLk(BE@(wSOl#A6cj} z@hvnzdD&xle%Wqyz*WWHF>hJp65&p-+chNpri{p6r27+kF^THQ8q?nsxcxNL>ACMv z=;aDJ|Hw)Ad%1kr+VS9~V|H2>5wbt{(b>e)zr}e^dJG)sxM_MAoV5!EXB~V;L4R)? z^*8u1`fH2*8RNJt`vL1+UyPyk`?L!3luzlsOg3qcI?MI#f}GyYrgf*|eTk1O9Ok%= z>xsBxTL$E*6Px#g{=Xo^wa3RHAMIUmmE$~~o)@w?eP1M4ZK8o*35}< zF#~5}ees%6#6Pw~eRRI`-CbO}ZYj7L{wL`ZlgB$QujN6%RQ0k{&(7y3IL=0&CjAY1 zF0iWq;`zvbZb<WsuFzkh+MNAS3S}ou31$H|i}`JGL?OazH>d{1euIv&j`Pj&{|8&5lbi+D}-uXS5GIs5{AV9a#c-@-=^8J&KZb zCMTtE`+}b1=I1kbe#saA#5ius_k!N|eg?NaU(!CKYJkhcF5rCrX6^JUN9w-u^Rde= z9-p@?z+Ghn1-+OS46dK`9qG8uau(cX_XC$hE{Ed2`&rR1b#*%FXU@j{&p*@z=V52S z)vX5+POm@Ed!=e|9rK^npzpM-(x2qhX$kE=ud-pkQcbFmPvs+Y4q2ZA_2h5=Lq2@@ z2U>T(EQY_zz8zeJeFj&VEbae)(f+`iU#0o~LqwR%M|7m~Dvw=8K7E@j^lLNCf3bA{ z`Rrdc7W#6(BOg6uEse|i5xX5%Gdd%#JX?yaF3NF!*8|)J zUd6buEOl^BlZ{i~vno}Gk6BkvJH4(@ocg6wzpLC|zRYn^yfOLzJ^*@gXCB_Ow4nDp zHoOVAy51iC{3Lx3RC9+B{}31Le9UBe9@%huE~~o-!aY;C+WrRnhU}7->eFaUpyMLb zbK3U~q<+_Wex;l9VKN8mV}izFeEBoKD5q!d%7F9Mv>%Ee1}*}3ZU6u8|6T>gZN>K; zbD6%Qs+B!wyT8x!iOVo=RE+}IpRH%Ox0_eG-d0*~cLT9c%INpG|F6*H zQ}>1P^Dj7^XqYe9T~%}f@?pOQop-<4;1<=~Ro+}o`{@E&ce3r-$U`<~XmH3;C$(o6h0)#TFghRrJk6{kcT%BdlF)*CZF$dmp%p n@WGY6j1F|%j%kQ|M8OltUmkzt9a&h-+(K@9OzK^h(vp literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/26.npy b/MP_Data/pose1/1/26.npy new file mode 100644 index 0000000000000000000000000000000000000000..1f77a6f368d318c1ee049fff5324a6f01da8f5cc GIT binary patch literal 13424 zcmeI2`F~GG*#0N>HEQ2EB$e3rEmWqqs3kPD)INwS7Cv)BT{sZ4%pT{rf^?A>AuDR!)nfuH+5#!sdTaUgjEQE!6_zw>r z7UbdOc(e{^;Zeu&2pAtUF=)uR!Q+Gchg;rp$k^cF**tjUkO{-He|t7;)~r#TnsuD% z&j0VfLX0u7|MY$D?5jE1|GK>@kAEK}+utsqU)tX+q2Ay2%0F(rVz2sO{fD+)@BfH) zle!S?>h&qK%jR{_ZaPxCzV;C9y7oJ|e?mRFe{)WI`@-m7%B^VU4=bZxe4ut7Kj)t9 z*UY{`?d2<>-8q`mt}+ec%3b2By(+&dXqOE>AwIdQdHQ+iqIMUPSxo!_@Dxn%68>5#e-y^TX($&sj$IPbi1`O~)m;U*DR4 z*4}SUcE4=z)1@BZejQT%j{VKOp1-o~&ix3=Pefki!T9c?@wX4$X4`qb{eyA;(zF}6 zufa~Vvo8w%YJZzN4gBp@On8HNGrsvgL%%O?q`k6onXT}9Z3C^#u1j6UI83)058BxKuhpjbWwSi? ze%?P9#nWQrJKN6QWTAh_DxzK19Y_0NcjkY#T@7@D-bw!#?Z%_{5!Sh%BO;OPE z<{N2$bdR59xpJp*vCiqV&!_Ki?-a!xJdkVD{!ZV|BukWx=Q}K zGq`RPxyW+S_9i%+^&_}od6!r&SKk7cr|y#fnO5*;>#1Mk!ZCl`brRy&{4DvzWe{KZ zIUMoqc?B*`|A2Wh7uzFUwt&VUfyz*Ecw&`I$1{yy_z2CS$VYs@R{HFLlTR+zB2uz;ff30=+Y< z2RM7)Zv^x&+kxvm2QiQOU|NLbqU>Dix6yH$U#GXUT(`+X{J~9d{;A7saG8pJP0I>c zCwgU`8J3$uGr^sow^F|kclGej=1v^dcNMk+?c$3cFwYb{&THf9xekP-QhX;?Aab?xj0@3+)Q2wuEOT6u-sX< z0sbs)F}N<-2L61~@6f9)Q>mVuNmy_7re9U`tDfz^I+q82Lmr%;lHkK$fwM+Yfwo@}I~?46H5_?X zWea0nsRwQ0uOIxs`p{+z{8QV(pNDm)JRcOxt&gLo63;acoK+5|dfRau<+F8P@{b!7 zZ1rmQG2&alp?NQnhW#jVFT!~Bnu#>tYLDhvz5KE${7u?d@Hd^>p*ci)AA5U-*z%F=O-`@|QuId8bv>sH{CCl}=jr2$fxRE1@(cwI!Jk2t?ETgEt$zM5fc4Z32yDEtKjsJr3{QU4*%US!X;7)iG=*L&0T|3-agm{CN(1hDDOTt2go|S6;w8I%mnpxqOY{+_?n# zab7Hkp4XWR&RzCKSs%SS7F>MrrFaU?#B)|hRU-Y=uH;jw**xf5(Y`ht27}8E7f@$d zf6BkyLC-;zIsnf{?(afAzobyV-{-@4SrF|no!$WR%iJ45&n`ql$7ZjjI`E6y?wuW{ z)BP!Yw2ncZov&NP+jv;JbegX~ic^ltjrC~~o`IWFG`~*2LzqY1CW_)&a-Do)j$&Oo zohpONJ=?(Li0QO`j?DpQ7k7fQ(PyDo-~9%E_Nf}Ze-s)XVdF6+I)Up^o4}ovLURyj zFx7KM-NLw7FJG)fr+6UdRSw;W{bk&Pn%nW}Sb9#emoGhd^Ans^Vy?-cI@y-JBhzxw;U;5s@G{(5b3_=sG$;3IPHJa6ML zzR{R>+4nZ$6zj%ZwcM!@G{KHb1T_Fx<65Hr>$Yy=&>oYM{}B%KX5@W8=%39Z{ghsK z{_;D2j5BQx9eJZ1ZmzrwUAl-Wlo@Vf*D~H2j^B z2k3e9d8x2^&QF8uai74|9G6hb^*`Ncyce%hzoCB9!DntJ9vx2p)qk31xzmQmrEhzZ z&pHtX{}=Np&U_s(Uj614_MM48hd50_55%vkUy|P0KJpYtJTjFd53*g`9@a+$T!xQa zPv<(7*bnDDzA+!TS~Qy0)ySgQFS^+T+E?Yh(64+^cB}PQC8++0#z$zrx)wv6IwB3@ zVg;U1JQp6%wf)LJ6A%weJ%o7F%_c42)1wvob-L7p-lQ#DZS~Gr+Rv)QXuQX$ly2Ls zUfy~{dE0aiK8}|=x7!pOkSwS}vzOr+gN_fvavDwajuIw+%k}*-WYft>dxpMB#nl zJZ~6$wSlU54uKioOuc^I*8(yi-Dgp zE*4S_oTqw(Sbx6mSJE%~7M%4yJ=W^^<|*K2VJI z%5BR3RexIlxvIs$XELL_`5yu|SCUXy^}&wdra&W_$G@DFR?k*Z-QW`?>DQ*<`Jx-` zh2ELrg?>fAcX%GD^DhyPikX0`DPM4|jg!C6Sy#`G5O3%<$#N0;HGE_(Z{$Nw={VK) ztGa!p{1-ZgtMb$suZq3`9shbgnh-0DN@%*lX5TZ_XcUIj{W}IE!nI`^^4J zSm!M91o;f?i>uC9HqG8AUA{zr=3Om}m%sb0EH`=jz(@J#oHqu2z`5O2|Caha5RCZ| zu9fLMXjm6;?zsnC@B2u3zS|yL`WL5u!fOy$Zs6j{U*NiA{<$`OQ!}StU8DCVc`pp- z1Qtc_kMfc?^;`Nf-a}QF;~0-@UJKmWn;c<%SY`zA56L*sX#bJmrqdA2huTyR_xA>d5b8DM?Hl^2v}Ss(G3 zrlF`CETIef6@xP#M4Dm{O-`yJ$gpLj>}w4Ux$69&w%{^lfoN0QIt zFz-BZk+NI|#!>t?3V};iF&^=(x&+Rq-lcH`_W^gtwjtgo3iVU;S&H>zI^}%#Xncp_ zjeUmvtIEV>j{tD9NQ3L$6hGfX-^)~uJQ22ECzifr=#-I|U;bb9;g<6qJ852~&B4Ai zZRi{>Unp=j%$556>__W%k}Kt*Rw(p3atqEsYE~e)sn7}Ys5|aL-efABD@^sB;7*>C zp|)R@*d60l^Z$mw>>Q6c&GRq7by_ApM_T+F4SktX@MkS^LvLOT8tI+w!#+#|=YrOe zZt#d%Zr)b}mnRlu-j(m8(bk9gf57;~;4+wZGiO<()hn+*;LG0ZBmI@XhFUHYCPOd1 zeuZ8=*{~M+Ud_qBk2g3=^+Eo{)nc`N97 zxnbaP`zreGQT`d_vG*)+=J^!!=wxmIS5ME7|FP9LS990#;KD7Z&S(8N%;v%Q^KZ)6 z$43~illL?7!*-L8ewm4NuG^*$vhj%Mbn-t`kMa}Qh}Km)oip{^8su|m8s6Xeae5y& z`7_`ncQnBBh*hI=IREw!aOXh457u9){FJwdso+MI8ihOrh9FMaTK~a!mRmh9IuV@vl)ySPTVAfRoV}&@L_IPS^I}3OU|#s+9niBZ`i@~TUFrPx z+Y)dSS(f&TUq^60k=BXWMdv7;Ywc3_M<-Lig9k&eX1s=8`5yom$0I1tkp1yiFCyr9 z>g0J$^>8h3=AF%D`C8CB9ZMn)JZ%^1q%s}IC#?}U%bySR&?#_%=4D?b)lZK$$eW7U z4lX+k0yh(`jwUXp?QglX4D{m8K*aC7 zoU_vEWw9ja+3g~it&W8^+F`GH%v|W5tw9uLhVLA-?@R{Q^QM8T^Km#&ir(p@|2P)h zXrCzP>o$VFBMXB&pVq9jTsVE8XI(lI@ALI+=tC}mtC44EzwGY}E?X}r{_-;Mt6?*& zUdwzm-n7Ty`gVbM|7>V({ht^{jV$Dr??pkZbmJIUaUJwb*BCT@<~5RKCzRr zA9c{zdst2ZkfgMm4}yseD*Je3cjW zoye+7{vYV?Ec|WX4T%5uX_TKdIyr+ls(49?HpirQpw6Eyq4phgT3E>$GEGkuTMg}#H{G}%J@=_>RquDsd^{rD>6^Y9k( zX@1!jm7MKkW_$~-8$KeQ^-BbJvnk-R$t!Rk6NkELzUT_h|L%!A=(oMG-psuX;Hqv( z%Jb4<*cW1WH2KeO2=43;8e!vc5+ljSFF&|Bb}Gzr;Y0rV);p|QRpB=3FmKq4^jiy& z|Mz+O**H~V&b(i%04|TToNBpVoR{KRQ3qV7O+g({b93r^&8K&5f2x`agT6*3=#5V; zaJeNE>&j_g5nMbzNW%>~IT>8m>JQFe4h^*2Su4SH^=06?iaY9(n4GiT;$Pw%E0XrN z!njKA!Fn*Ga_Ye9PD$R`J}jR6^@*Ik9dg6>2d6dt{hn2?O8zfB{jFZEq`Dzn{)Ktx zvT`)ynKFvvY`*|p)qWRhx#{gmadurx`=wS5=((ilh#uiW_26v`@Y9>M8#gCJh*NnpOc&BSv{{p&spI<65O1dI1@hk zdeFEomLq+$g5#kN&A4x``dnM&!AV_4@6jn|sbBS+*2Ace30B8G%m>$TwUGza=KdPX z#oHn@UJrk)H|-s=F4_8~4*+LfzJrfxy9f1|k2*p={zd26~b<{OjA)@41SIM;z$-o8@e9B)BLz3H#kC)^jU(zC+~Gfd209grsh>Tr{O~rpQl! zPtX~jbD>}J3G>M6EyTFYJCC?z>+ky`;^!AHA%2xHuc_6`J%5mY_ZrAEcP+5la-Q%n zn%~>!>G@kmQ+~G7|36Vp!*Gt}TYjSa%=e>u<@z}Y@gyCGzh(mvkD9}9KH<@H z9us*6-$NV;10w8IXYGTJZbjcQoOI8%;88i}c0c+%tvS*PdFFMOK+hW$L;NE0HrBtG zF$CPSe~b8e@oC`tKzoYw{UdOF%@yYy@fEEH=E=a#;fL$dZ=gT)qKzLo^NpNixv53} zKZ|vsbGwsL2V5>ZLH_^IcU0rG7VAfE$^y!V)XOZy#vMll=Ru2Z}y$)etvxF*9^{+OubY=0J30{$%dORQU`RXv4%FJ6WZ_nQSS>UhLj&T_Q@XO-MAk7mtc zFX-O~z(O|AJ z4Nb&3S-tNGE+;$#H?M|3?=+=4##_c>T(VpEQ0pVR(eqKelpvqL(<5!1B3CSY*vQ=A zEUY8W^L%XrxS0AB=Q`(N=?PXZ7tp!XbO{6(8UE8OXJhD`?~FNw@v@+wS6OZ@)B6|S zm5BAP$LGY~p)~yY9)UcoTrt>>d?TIHq#yH<`h8Xa&tJZV&i~Gf zU~oM=Zaw1p_buv-3G53W{^J$o*%=rDA6dhL)=9&BL#&?9%>(Y-%ZvGyr9a0eTmE+! z;%&pIuHJvJ*m9>Gom<$v{_xQQs!jq=rvLXT-CdA>zN_(K>(8!ihmV;~-&M5B&%$!2 z^Db~vAQ^hrZ_F&qbx<9wAC^)F`E-spC+_|bdfhP>_L1n;d?NHoy`eX2x_~=b15poE z_twy>dZ!R4ODaDhIon?qrMjUy-=%sx=MP$M7hS2}-Vqd!PyQ9w-*h-j{pRt6kF32P z^?}_g54}^!4eLjm(a}~fo6&jFX}pZ~`;tu5RoTjq{8>v{x6e1kTRnfe7hDgnM)UaY z$PUX@O{yoV^keeb)hohsr+v=8E_aRgW6i>|le4)vIEdnGa}&=mzQR4;a+y8}+=S74 zw;J96=S()0&SNSq0D4o!M_Il4hTiwt{Z!O9ai#|Lg;RDF`Uw0}By~-6vJ{M1|w0aXx z-)-c4`aUTym5K1SJjxY%zL&mF%DtPh9?a1K;Lg7dkssc;wy-{Yl*a>mpL07LbxD3c zx!nHdE$MuyJM{r~${mTd{Qv&_@63Q$KM8fgtf_-@g4=mPzt7E&t&Ctz*;B!15 ze)E>}cQL((&W9|sB7D_2VucrEhBA!OG5RYEra@qbiCwv0!RlE7&em;l359q{) zsQ>a{7|qM-G#c08j0#pSyVBpWoF#7PUnF#@4StKx)6ULi@E3XWp+2Yx`VMYB&BAv) KIXQf~_x}LL`s^kE literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/27.npy b/MP_Data/pose1/1/27.npy new file mode 100644 index 0000000000000000000000000000000000000000..50d02b922d3e1abeabedf941b4767af518321e4b GIT binary patch literal 13424 zcmeI2=YLO0*v2RNB3AF#sL_eK$jazeiB7PXAlj;l=#g2H=#hv-M9I->tQM@6(O20e zI;#v(f+!JfS9>zooxk9D`#j#9&+j|ex#pgGX6`fRM5I^GPF?!Au!(G%+Yn#>!G3N{ zxSPk&AKhwjx1nSGCiwY`893H&h_B^sd`9{EW^n)EKI42dephjC*syMmsx^2Z|KI-0 z%^1`FJb2)laTO7PH|>>e*z_bZ<6>OCy|Tac7LR0mbMv*)C1cTU zT>eJ8Dg6%ZrZTnb`{~sF@?W%be`?pknfEsNB&7~aKCs;?P}?Q`?g<|_6Y4N z{x#b5zRdg6z8J*i?snZ?jYIc4HNGM~eyZO?w2#V*@tG8MJuyQk&woa{Y(M>;ZFg=B zN4s#}an-h)o^-zqUW)kn$Pc%zPJK>Gw(a^2wTrIL5g#i$@(z3=uA^Nxr~I+E*;2qg zzkg(}^2LBt_I_0}vwttQ85~&et%+rvqV2|>Am5d{jF;@`pdSfpJI~iZ#AIT74SUmF%SA) zWV&s4l5-(m@!Pwb;CsTYo=_%_|3DDbbsY4Z*4nwTS@cwycq5mf5yDGKKfi?@7+S%?I*binNPqXb#n~J3W_@3@BmFJZ87hPE{^k4o@Qz?k3lUuCANVbCUuU^yq~|Lyfy+_lqAX{r zyWk@#9mRa}=u!^&)okSB?M?HrYwmi>&65w%tHr)lm+BOUzj}2J+)OHS-P86rwg}>J zE*gxRFHEELnDec)K4SJE>i6{&tQR&dd7Rf7e#v;?B1P zmdgn8Va0=qyRKgZeXfVltAHEi^Lj1(g*WN>>c*Hq?&b=v=3RrHb$v(kdjCN%;@S2Y zTo&=iyr|Yq)>zK`_L2XAvEcg4^yT1@)p5V>S_k>zd%R;kGvs{Fa@0GKI}G_(10GDU zdbzGYxLUjloVSdbV!0?&mbh9@`km(|S?*Lgj`?C+nh=ki`-|nQ?M3KKe@Q-FeAM_2ef(RxiEsg0mX0!C7`b3;m9{gMP)bT39E}%7cNH ziw$$YdH+M`*XeMti)RK`lMKc4aR=IE_a&39-V8rUKEqDHN4O+=z$c3<@+Mx5fsedB zdZqOd9o(UJ;(rEb=|`u6kDLjAr_EBVe|2ZaT3g7e(hf#iy_xWl{A;Iy^Jj;{;P2iYdMBU`d{o?KtbdkT99*3L5nOM+ zILGSQZkl&}{sZajHJxa=JaQ3wex2$7PanAs{(1i-pRW?*lBG|qhkmag z*k5|@SH#J-A3}X_UipSvy_j1DJ|;^Ve4K6{mRauj7odLIg;CyCpI?f8Yixr*`!$@n z#{$~F^%9|X#?GL6@@3~*_^)xJen%h2IydF14ydWe;G?(YK%C<0&3RUDR;SRuh`)8o zGvhb!Am`bu^M@zJ)2cJ{rd>StuXF7r{7ny6tP>S|Z=Cf}Erx)rqCJsMCv6t?5uZK? z{_5;N%5#N(Hd}u&j-Jn^Yj^BZ7P#}wC;3l|Lch+~4HW$G3=m?yN4a{q_?@Kzl#F3~zG z<$2)r#nwlb%0u&by*TlmE_hz(A>Ned!4r@NmA(Yya`GfloJq~0cP7O9TOa-P7Uf~< z0C3hY$4tx3<`a~MIqu+Q>;>#2@o*~qRk>pD=e=AUt5-c}{j(yKp%=j~LcrsDQ=HGL zlmEu+Sf5V2rQrH8J$LlcAjEGHej}d1D1Rd-&PF^U5?m~!=ZNew5P9HZGV>Of1b^-R z5nPmwg`WLA16=OTf_YaDiA%S36i=OOSpTA1De}MGf_OqoDB{0WnD~2I|KgX$sC)c! zZsIj&La+X+ig{-P7`XFRgPYgqp%-%#kx#zO4f8ABr{g)xDsP8QG}?mLEtT_y_#8u10m~Q)n>erFUm=wR9V}%-1Od{8!2Y&v%c; z^?oU>!!A=WuOiPm>@RgMv6W}WxcD`CPN@@5u#X%k9phqduJC6ORcODLT#5NoZ)x4i zA;ai7wjm$J%m1v2_|?@O(6f6#qF>`i`$e7%qI$Tr37uOS->3N79=mAcFa-{V+W6)A zM~G7ePrq)tOqw*#a>t+cwb|Q_&W9roj<)UE?+y91sRKRpKit*o#oc+dj$MC6UFE&g zsSYfuMR9&@2_GXF_Jye31>87WkT=$&4fYq?bPnT`y)RO~4YLK?etEqB_{*WE!NtI= zKIqr)D!8eVo#y4IPg5=DmwO^k*~LJwTXhb!+!WmbF0L)4cv{Sao^7OYIj`$ezs)O8 zw|X5CMsdb_VZ6?uB#_FeeMUgKz; zC-~vK$Je-$e`7zy?|8JQy6Un3>z>!_M|nPYV+;I$stmmfya3Lho|%R?3%|y=xXUw& zXJ#nsiP#&Dc=Yt^G%v-9Hnu*jP)qoT`SqZezn)lWeMEt0=$Cl~<2^oN%f(`#8~hbq&FqLB7W83G0s<}DLuc;%yG!G-s&~i_RBX`raWh_3@$Gif9qo& z(RrKwTbK0x%i=jA3!H~uUYdoxnqOS7-&Os$6n}oIS32=*sP$+4S|Ltn`ZU}p-aV4w zONWuqf%3TO&ifG$tM!TU*qP4JO5BdLdZz-t->Iz&PzOxXcGPE6;sp6WnhGCYx93Q! zSEs`9+i{`qHcsHQ@rfB+?x*vK=$i-QQeqbNooaB8;?e(MJ;>3E-`V$5aU(a)S6Cfz z6;^5@{I~BV{a#;i-Qnr4*5CZ3D2|nNNngSZ=XqJZ1I06;DmdG>5c|@p{7m|; zX;ZC_`ukO8zk%T5Qe&LoSdB#F-ARkVI^nhTIvbBT_m%WpU1`3aj2vZsM9d@PM>ZXT z^)FiYh_u|Pm<^mwJP0n^-wa2;shz;hhlW^J&fB3emdh{ne33pgpm(z8!t+HvI1Ig* z-kRdil?CSk){5p)XURN|tGpqe89r+6AdFY!rssxv+|AE&*|sC~>*`5)+Bz=K_RB(D zF)p5)*01d6L*t!%2Rb=5f%20-tsC@lqbZ(S0jPU=bSIiF|+=ZS~ z4`^I+aXdH+tQ2A65l7oV&(dgAz`wE0>l5OUbyv;u%)n~ZNcfvQKIDI7U8vRTM&IDW_R({R?^38gx+8rTGC3T~ zyA)xL)r$=deB`Bq;3{k3Sj$cC%R zu(P3-%ct}n#J=T$zdAYvbwJfD485v5o%ZQjL3Mt8066Q`8uQ4eJ%Eq?l!W`8$lt+L z_*v8+eJ1n0V{J0|U!6<(8^sX6di9O+aI4&68;^6YH1&Jk1$vpoZK$V>^I;&kej>p& zuOKk47iGbDOL|`LT?432F3m~(`In`0b@JJT*2h#m0?xbd$2xHiav#f?=VIhbS5BmL zJEvG2cxYqzv-u6cb^hTqZNJjJ8RBO@r(xdt>a*B)oDT=*&;P?YLDWmZI^limfjd#v zkx$NwVm&zj&I6a50_j{)uovFzS@F*_-t4zghgIU%skUG4o%tOjFc{n%^A15g{aR9- zFDHO&zbbfs$)4#LuXA__IKMiX-kaL(ru=MuK>kr}u;0~hlfhZm{8+c9=IX)7!zPCO z@Ri>%UZ+F?@*_@?kFJu7*1uo*2}JtHhIthqu*u?wHN_kT)GV8(ja`e7N;jg_dAm`CK~Rs??+LHhy)8 z&eeQkU&?>Qy4ZK-=`{GTrX{crMdPe1tdHy*2hJnEVP2f$?wA*+zyX@CioM{Ymseel zam~nl->m)vxSHYvt{Zuf&zD8ura?Nb^D<|^)px$&qHW$ah=1HE(pRVNA@Y~cSSQju zC%E(eJ=Lo|8$Il}^oly*^2c(>gZk&}F!+SgbAfw#f*Y?jL6$qkZ(@G+w{`I0qw|ii z+)UgHZUX(u-(&6=%lXbC$(|WkdHw+AMV3rNew>hs55b#XfnJ?{7Hxk!lQ{IO_#ljn z-##2;eN4!H=!G}O`N@d1>?RWU-8;_Tf{u22tu0`?RsJYW}Idn0&zEhO=qVa3tGvF5DX8{9f-JU4< ztL1uLEpRb=1l2K~7?EiE_4xr@zb-)g=IVR;{_tij`8=Hoy$l_UIwKtVd!os?6WsaL z1M7#a^&H%knPhShJBI9Qv&Q^86d4b%tU$S+; zzT*!Y5-*YYcb2$8!HjVO7Yc}S^N&hd(`Z#q5kbk)iShq}6X=e3o+(K|w<}C6f z>U!fG#U{)J*Lg>P^Q*q}J*v7t{Mn{P;3{9}V(YJ>szA@0PDI^cm$G92vM0Hr7wPx0 z&UxABaaJ$?=?t#k6hWMNTk0Ik^|8!(oN(_Fe80Q45!ZC`S0e^OFM0_)cUYgn6#wbM zSSQZp@ZYSSO?pf5Z~uUKQMFcMzo?fBD4vt2XuhJJCs@7M;R`*V=T3RPR}$w;ldUPZ z)bw{2J~tibMzdFgoBW^2r;PV(^m}0g`K+UU+2KxzM{XUCer4Yk$b(a_2=;~COnDY{ zi=bbpRh`+18SxmlmHM6f40^LUcBJJpeIK~K=LN3!dHaF0+u&-0Tat}Ke(W1+ucq$| z^lOrS$M;yrtJx~cMV8ahvojkg&xy5%TCTmKDb8WFD9;f~R$8t)ZUNWd#iL*TvM}aF zcB={>o+Al)kXfR`6Rl4itv8)=m3Y-s!IrDAQ0PUAyTluJ$GG^xUgT4@C)LT0$FSb` z)IAhuw#@Ttmy}sH9y2J8cp;AcBAZkgW4W%f5?mjA1Ak{>O9g#z@;Bx))~&giW0{Rd zbffhn_($mZ>Vn-Ymq&hrk4VW)`|-ZlWXpMcesB{)=W0=UJnDdPqdG4x(RUr^%;q4g zSEDLXJkKiNyr2V`VqLLi6~WnsL-03^OXEFGXD1)sVHEMNd2w!GLyMEo{RZHyXGkdG zUo?i|*-;4G+4R{Pac-OhE>Bh@UUASc%gupV;4It=TyM%Z)^hfC0l02H2b_COrMk4{ zD7dQh;I^l|Kekp*dsT(@(0XXp3HfBH)&8)YT?&R?#8KYZnE}}EtiWP$^RFw#b6k(K zdbzh6^&9mk?Ylsqh{OyodQKqyZ91Qu+YhH(t~b^N=RF+gMVC>~JDoD?@T455KguO) zto0YIsScP!6TtPFTvQ)e7<}ZnJ&0ddlc>+4uNRGL=|9*f1ih@I_eylv*g z->fV%&5l>)?Ll#l`0JwemHQj_w%i$Bmg0HV6VE#-3q+y4PAu_$SyAV8N>0>L+VdG1hWtMq`TSY6J3Fw`_c323H#j5Wpt@wv zm&-WPA1Z)-Et>R%o-Zs<{6uZ6H_pG{9H{Sip!2}4pLK8wzc=}KMU1wbzc>niGnLc4v^lZQ z`tTh!px6EB+|D|O^tId+o)2!0AHh0wg1UCKKJq|w_=w0v#G`A!N8X&@=^SFdD*?Uq z?HFbC;>1SM2WG)O)kBKxhkxrP)bFat@DW+hA)m657dWfGhxSXKLaVHg>ez?kA4}gy z_4r2Xt&bYk6r6>ZH1;=J?z#>BE$7)$NqT;b_Vs~7_28FfAN)nt z`ZVtaOKq}Tq`ZM%-N+5Dv*)1aZz`Rum8AJ{_NUH=&-^XWJL~E1M<#H{M9bCobMWVT z`y(FbbQXFJ?r#9S7&PF%)$uc3X4@iz*ie1?Bshx=M( z*2z4j5vOu*kNI-;Wv(}mY~XC-?b%i@sHe$gTd8U7n~FHvuJR+%pIKf-V}m3H_*9M_*Md!H_F3b*Zl;&_^CO#<1%59)jKi8 z(XWXcM?C%u_BAVhn)vhp%)3mSvB&C7g#zF_`X%X$4qjq8FHL!HcGKSxKziFK|gQ~p`N4#cnb&d0oPPR}(tb|mVOv&{qX zm=t>cItA$eDab`p$d4M8S(jSv$GG&q(>rZE@@c03Ao~AEEVn5v|QX9NaJmp49*%>QkL`GL%~&{2#m{YsXiF`SlVBrHl1%p zO;q*_n?&Q8U7$<%u~-ZR5TexE?R+$C_8x3$0JyiE%E*BbyXOvymYg~xKtiwZbG z^Em9_a?8~(B}nhGm-g?CX^7thXYwthX`QSMBLBhlq1V;sfUCpjvG3TdnZ$!rD4r(y z5vNl<68)MBreE&_%?)m>i>x6uc;OUA9<42k8^cRKdWa~a)XP?u9#m| z_*Hab2IjZAgY(-8b;$qN3j}wEo6-KYUoh zj+CDqW2NPy-a&AacR%J!`p?CAM%HeCaXGoGLeJLy4DOtGNj`Hwft%k-1y~=sZy@x# zEq%A-=YnvaVV7G$FDsryoT}A)e>*OgI0{^MctG`*-BI8T3sXLO&Okh>Q^}=>bHNqz z*I_#`J0IoJh(f(ca26dIEc!SIA^#3bVz?GVPt*59r~ZA~FCABr|Ne-pHa^~Mh@ZWx zsAu42W(c_Rd@}Zh&RPZW>wq}o{*3B*0=+LAaUWduh(+CCi9?|0zdXmfW%n+}S%0VS zU2ySmJ;rNFeLy{7C4MIV_LpgY?fephcq$eHm#*~PQp#22fBypIA>w<=TZ_l^9(`gC z@v|@C!#zBLt&e$4bxFDG2WMaA1zFB`ZRpjJAaL=VPeH#=_o82OY&ZPH-!=b$&x$F~ zi?n*kzjLDR{KO0!dGtr>_fa0KL%ul|_MKTo=NUESIp#%}YmU{c%k+L~`n83RC>

  • QZ#BXwQsz zxJwJ59qER@!RZNMfc?>5n%P~*e3G7S%UQ4 z^Tyb9sK)+<{V5K%A^r9hs2eh0Hu&qp?%;Clcm1uN_x%9Q?)ic{{QhX`&x2oMKRBcE zq1_qt8qW*eKt9CVEy{A%=RL)-yf*5mJQ6$s`bBx+ zFW2^@c;22t9X7fCrhboqf{!z=v9x-5GoJdD<=|toHtS${#@_`oUgzKB%l5Z;>w|Hz zJb5XOFNNXHr#$jY%xGu-b_Lf}X}{}}ou*rE!nYD{JrVxASwVas69vA3n>Nj_Sbsfx IM|;oz0ni2bG5`Po literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/28.npy b/MP_Data/pose1/1/28.npy new file mode 100644 index 0000000000000000000000000000000000000000..c912ee377ec8dbc5002aa1154890052fa6757cc1 GIT binary patch literal 13424 zcmeI2_kT~x8}>)rXkT@eWid)bU%iuIS#|YZ2T8C9LL&MQLJ*=8Z5CNAQ5Qj0W)XFD z(a9jI#fomN_GGR*f5G$X^W>NFI`6s8HTSf8=6rG%x9j?Ihn^W&5S!@b<2zTy=S_#gRDb1bc%CJk!t?q>x__Jb_fT(KPI_LQ zK)G2%(tm7b^cH{rTb)zrEH!*_DfoxzIjdui~}%w0k>?;?tQYCAo67IuPaJ z!GlCsu3FRc;_C{;&ni^7<8*rU=?5skpI*M`1>#c+VyJvvG?h2_iuSX9nIF67Oup=Y zX%KLUw2%e*o!#r`d24W-h|4H-|s1|T$G9y%a=s_e zL&s(9F3;W7F3{Gf4~o_m(U^ZI;)%kJTKR`N&aMzQYia)TmNg6b>t(K z&H`s`o-aVXrIJa%?>6zpXW*|#q}Q9LF~(00s{+pUU4>p8dJnF{E6j90cHw{EdPo4q zh1)vo9hbZJg4-?rG>$6*S2?cYtI)i-QD__z#QO+FUnIQKqE<7I1tv(y*e9k14$bax@ z8poDzLmU^|!ok&$OW>kr^c3jN<{+PwkHJ-(|8&RYhuf%EF7m=W;q?bjg8uYu;$>nf zPM^MAyJ?PkgYDrL|{=(i+LJoN^kUA+3iD96RR0Q3W&Hj~D2zz(c0`{FbF z<$;695Au59P^Y)`zbF57(Qz9#I4)+FMZM;aKQPZ_&iv>Hb>~kSuO*D;Po3Oz;J@rC#+MbiLHlPbpSj*? zKI*&1@K>waLN8Vq#`@KB65wwuWyO3GJ(rJkJ|>?pI8W+~{B6Uij-Pjj7%~p{Q5C*$5x)a|(JPvn@pYH&&2;OeJs| z^&In4{ZIv*?JRK7wTB=1K;!;fOVn%H{C3%Kv;AWk=VOD0LvOtopr1vVCCHy9XG7>& zhHB_%{&~kBr#DNlqTl2?6-itWZ<)+ZHYP-g`c-X32;Nq?%-Z~HRkNKPC zgX~zH_}Lrif8Ap|{8`6>gadr~~FJVG7kNfZzJsRFnG`hmBlev=7_@VAF^qrI|7B=qLP zG^)45_ZWBchPeKtHMmHwi}^2d(E8Qon-l-<3*u+}3&2M%?E%iqZbjac1*!jK-kIdz zu+BUer<}&1XZk3(&3y-Y>l2TDmUlccz9#%B&68ETpp!j!AwP&#U2v{5Szc27E0&|5 z#gyPk=WmC;f{)oj<0#wLLf+619)oLNYL{92VH)}^^D^@J;U;|4zu(fl3N8uG`$U85 zjAfB;ZS-7lU1<;1d-8keS#m7J-@Y8>rDY9fIDeI+J=J@83pkti0o=CxO8n{_v`clG ziE%MQ$75XOrqi^(8ei$;o#w;5XrE%!|He9!WwTN~{6hPq)TOar%&t?2lX=m+HNJzf zok_h(~#KLORE>b*atN#R_RZZYy6RJbcifvir;?ysmp4 z({xx&@kf2u;J=rI&Me4F<;~tLgU=IM530>8>^m$u1YD(Dpz&Rsi>{ZeVn4DQZ&3fQ zT!j8-BgZ1oh|=l$+@BCX%eE8eE8Z*-^)bKU)c-wG!d$&(5uH!;a}Lgno(PC{{d0)U z+pJs_;>U9YI&LEVLL4H3@+Xh+zSC}Ij#y0 z!M$q4ab+b(BOd$eBl^egyNN6R6t~#vSs=aNv6bP-1EyLgT6YVMk-sK?v9Qn(r?;~s zD9!_=5WoFrlD2R*!GRp%pm=Rh1Rt|B;ppvO6` zTI_?~{3?kLI6l<*@P|{u^oKI*>0asGtzhAlsd^s};Jf8kZ>+^hCAL!4r5 zB-Xph{0Z^v)gy6LPg0QgSg}FW-la#VU!z}+_ICb#s9x5s5z4LlZi=f{+{*=>=zJdY zOR{cgFVAy_bSb;2e=eN=+38h@;fSCA7>K-Qn%qO2EW;)0hr9Kte*a^^PA~nh;NFzz zfh(_eH_*jn-!(;j=3QO1SM)ut9p~G6z=wIzxmWHLXs-?H1g@U?V|+yJF*u)?8`Lh{ zgw6~0X;qwO_?(|8o;Z4+v%7uJ|EiQ1IInOV_1n7{k@rOCeTuJk`g>FA3GAEt*URbc zq4zAlF?Wb-7YjZ@`k93hkDi!ihU2Ev3~&{`lg=~OZ$qz74M9Jfa#he?+w)2%r?+GJ zQ9O}xm{)vE73{yVSUGC%q9N#i?vcaS>3RE)@HZtxz-8VqT^*OHDHKmu`W?fxIy@En zTwSQ%-`^u1QE*p?cbc9x8%q8^)A|y|3W)0;N`7{LUPF0D4 zUe?(Jz1fwWeD1Brdz`BGEx27Xp7fiuAkUlifuyhaBgRplHSn>^E>V1~qQQ;Fh)J$q zeTn9?_P&pDS^6Z^n^5q+cUn1L^acGOVzVxCdN#Be{Kc%V6o36kzD}pxOrdzr^`m-< zmTv0w_9*3d(OqF4vd$%j!N)Hv=}HyFxbtUE!<~=#bQoOp`yG1Ax(xs?xrEl^_JcHU zZxmnWI4@Tp^~&?r!S(JIcn@Ol8dChhMu-dy~yyGe?67lfkQ^47TJu@7aAx*(m zs6V*9I2z+6w!T7pSu|e0`@QYZxqG< zg@LQy6~{O|dqsJPB_BaN*3%c`tMlYSzlriQ!OifSeoikJEyuW;>U6#}d2hvdJ3g1r z)wXp{n$I1}VBN{`6X3&>3u7Mgq4!ofAKPsWxUBS*#^u}c7#G_p7Myu^g^#IU2In^$ zPw!J=Y%$`sdV-rb^~vYKeB!mAV4kazC%|n7AL1`O*1LN3W;$=!JoI~rZTlYcgx&oH zdeiw0@}4Tmn!9$fyDcTT4D)rjow* zK5%_+IJlmebGY*{BlACS^@z;$e-74q%WB6(YN=$$`8_%(n{nrtxqG|6IP|)}0JMvH zniWp3Vh=zsdGRYw$4b@M3H_Sc(DUh&D9)a{W`c`9$>-j5YS+aVbbg!m7F-n%1lP-a zBAi|xs}6s4ydbza9KFJE)uku&_DNT8k!4+o^~(w|HMmz^^! zr`Kye$o~VKpJmpoa~)?H%Y*CgbRN^MuPt<321;relW(wWYzbli-*0w4ReB79_tBD)+Hfs4RdmIB~zl{`x%4=~coQaMmglxQu!*&~d9ygY&`b!P$qhA>L_RysivxD`dy~ zVNoq89}cWZJcRzwqQ~{y=zQdk3FrqgG!)|{3jDnkKJWXGe#%DV6J6-Mx6|{tbHPQO zQ|KR)5{PpY%SZE2JQ)lw0~LNRWr+ds=WlD0etUyO&R>PKdeSSsEYri zbup9rStZc#?P6AsSn_&tGf@}Txv(W@{!SqC*~$NdsObCi-RQ{ zMLa5gGU{a$cHs9|kyLlBD^~*($mjkh^s_zw>tM%u&{F7CSY`CHem`*y{6e-8pSO+b z-Tn>6MK>!CAGQB1+H0!ri-=G2v0wWUPrXF_5Ib^)62)lSg%1{!AmtJ{m`uNH!ll}cU>0XM7|I3JyWJRlBo^5IXC zTz$M(dFAx>gC{tvTaNfQ^D(b@G2-IAfsZ{uHr(k|5c#maBdJ}>eZm~)Cks4o`cZSh*_Btw zOCl_Czbn1JT(Ic&BkSXC{1P(H!v6o>@maZZj+f*N1bF ze{2EdVKpv&{+vCIap&_!EOh>Q66Hzzn9k=sve9J6WzT99|B|)PvqC}8vxdvSP5aEq zKk`VTzpIza*WjXU0Jw?XjP+<<&7*k6?m_%KB^3EY{_!)-^ZmE5j#SydS34h7qZYNd z=ohRP_SqZzto@}ZxQ=c?>*Cb2V5b)i*HWCLi(}lyz0eVk+h+~IB_BchrIEAZ9e>@D z__}%IUo+nX$8|_2aMk_%1@}B_Sfi8U%A+{y6|+0je!A$z5?3y(M1mWh0eRlMjQSPN z?QQ@cp1A_;n=+9!_RXhpSIu#r z;ZbMcBlC@iUL3mn8|q!Hz=i*0a6W4BD)3J~g7aYden2hjw+QjX+=jpXcRTdf|Ib;_ ze;*ERZj1nDMQ>qU>vx?go?9H;+$)6rMb!OB=e+}MsJ(B!@E*kv=UxA51&Luh`M4Er@cP0vSD-q6>(k&nDL!f_=M;3IR>_Y8K+ zw*Ah>wysEVHa>=U^vegm99K=}kpG=H^e6k{8jWv=fRAdQ{+(9LCG?w48A1A$g`rpL z+b?zXis)$Q(-JSm+3Y3i6{l$&)h~aeU8dU|?6WFkTlkm;zaxI$J^NbcqvLv0y|sNX zZ%xvtjV?}pr7^gzUBtS3G4=E|cU65X@n>Zyp0;IoqdaH&J~BH9>)qJbTfyi42|cfI z7W<1Sbsp~{q8R0EJB{A=WophDPA@~hp?*6Yj&?Esp~%~I)go}7{|e$)fvFV`&#nFN zH@T~$pSk^reM*&j3B6V6zt=5(gZ0bmP<~V27Kfg#rE{!2xsCiQH$nXNx8Okdw>?Yk z{n!ifh<;}<&*h}r(6hFE?>Qa&v=!$N_AEVrR!Ty@$!y=Pb>%#PzN2F?;o!Q_k&TYa zeG%|co<$Ik9or1!#mmurvymCW^~fZw3%ltj(pRMSAk$%D7~*WXnfgKf597`cJlWv5 z=IHxE`2)Dz)(CoL{1%{I z??R|otsMbwv!!BP^WLYx<;(z#yDa1XyVJ{FxrxhX(3_8Kk;n9nh4446r(@qy&njU5 zwfBcmJX;E&|JBYq3**y#c#W#Wr};q73a*cET!$BiKTj${{hW0_)-{`U3wr%l(YT~^ zSnA?2fz+So&ypBN(LTAA^RY?8;bXH`#k#P&ieR3bA}uJ+f43ukF=8#o#ndeaE(-sG zyrgedLOiA%?T^AM{X2zwbt&(8B*I@8-beHNx6Qi{&%{>nVZF;>9;!zLC%Skzr@Y6a z)Bis^q@!|N1@|U>BJJb4{ekI@i}MoPCO@S0cyX6s;Zy>SuRCFh;?fq&B_;Hn;- zyUe-P*uQw=-@wg+r+2(v93{UX-`W&9r}1wtfXhAo0$jOS^%#1wtv5J(UV4(_I(Ze^ zYxW#Md*%IJs~i{W3PH~T_R@Nc>xKArMmqoSo%BAgjy@UV^y+PO=w(DG`d?LjJ{>-J zLa1Iz-*>6Ze z{yf%kb(FrN<=dKKz38Epkq`OvX4I~FrxB;_IBaaZi)X?xaC6mCyC%HC{NaHGP_G5d!9^)A%q!bu(N4$p*zd?Ep1z}0m*>rJ+;0Do;(1R0&*f2XFt6A_ z%7?=9F7_|^v0Y@m({G&uy%_fm_5a=B$TKpu2e_L33-mU)vvzuRkNicpd&qCB=0MCh zc55~H3|c_^+)k_umhA~~zYuV9D`K*XQ;aK%_|^6`;9NXM{%6hUec2|`?=bvADDno+ z;sd=M@C5T#-rlm#`S63ZFU!gsFh9kqJIE)3w}hU(yFmL(|MM%H-sUSvd_@-M&Bt-@ zXB*EUPE&&Bx$U_J@6l=;y~l}F&)}n`m6-vbr5&kVo%hi`RZmStJcsCa3^RTTt?Q2s z#yf5<9Yno6*G|;S9_2Xzed}QISzn#{zfbVo_%yxRL;Ea0l>_t8`hLOr$Fxm9&!`lP zi|BAwJ3YJW1s{3zC-|rp%hx%s7dHoIfga%E+h=Rw-fKHG-+=hafDx7+D_XwOi-((fN)-K7=%|G)nSd%$#?h55m=%%gKl zmyUDrJ^7GASSKQjq5Z4!=0R>=$tP#9PWa6y$iu4h%Vv)2_j!xwPMV?oEGhm%4?;7B8RW$Z- zJ?1&BtMIYp|EPWk=g;fD$9gaa=sP;LcNXS9Z@_5%cPfec)#EwHSGrvW@?B5oTU}~0 zou7}rAU-%d@~W88m(J%N`QfjI`JtRIse*H_I{7cvo3ALY^61wf*Djv?6!r0w&ER8V zrXbIY=tRV$%4WRcbVe0IyLkSu(6NHwQ~kB}NY^gyL*F^+TJ&9zp8ayT0OKibD_J(5Yw~etIQS1%d7KPi23ibknh#0T{HX@><*dwSIjh!)e zgN@kh7-OuESTJ@Db1j~K;CXwFZ}w+@=i1k-S+i#L>>n=o?BAo;;2dl^n^SAFPrxYu zS}l34*1j!jx$;`Rll-UpkMtWc$$zwu<()@P2=K|`0b@o^_Q|@h{av$Wja=)v@_GFK z_g_KAn4bObAMROKk?Z$c_Nw;PeUhAYb@FEZjr-v4kI-J@(sg^)aiNcGyOCee&eOM} z-I@A=+KYyuT`_8RymI|%pOX=#Zs2)uYG(tfUHer=|H|t%o)^y-;Cbh2cDq>l5YK`wKJEz)c$rl+GRs}UN-oO_;hn0^zVErit*_~Wp3E``HIhI7c;{jz<>K( zYIoms&9)1#?B{=17@yJ|?pYm=3Vnq3r_?Tn)W3G|zG*q<2PsbpU(echJ(t>9OwtQHH|_w9$F>PGcN0q3avlF8-VA ziRF4sWV*eIC#C#@)j`@Am8(XU8a zjd_ztsum*0!to zhv;8=wnV$`zXSEmp0`f7?fP&9suTZQdF=D1#qATeUtQ&LZhKWTHbQTh3)+=iiJz0R zxbtSbV9pe0D>{a(Ho!K=n3i<-^q#u-W*>X{~^a9J( z$d};G(m#*~C*@(ZqGjRheug1wp@pvJq;j!qu+ST zS;5}KOZ|g+L~ZNE33!-uEuLpy5}INj=HqZHh$wEOT;wL0~+T$-XoO8b#oo8}(-91g*6GeB+NaU#rTa z9{9M~@*r0x zV!qhbUGpuMA{X>3@ErCB{kc#We2P>df9GHL@P>uffV)tf=I0f}r=_okf15rtzdIFReN^?4;Ig-%dEB~vGW-)K zz+dTLa5Fmh4(son=>dN}XE5?CnBi<;d6h|sM-FxamqCrM*zxdYgBDo5n%tfG%}l|0M0E%lVYyg18G6wr5qakA>Z3lH zPdn)OP%q?Jz9^6QMb3N3o7nn*;u$wH#P%b{(mE2g4C`3^K!!_!p6f74guFaXCV)4Vl>tld!K+f&6XO_%eKA~t=`1YKE`i%0XLTl z1z9dzAEP{!D+jKdADd#i>Jvo$j;u;~KA#`&N7lS7ao3X2i@$OqZ!G@+aA$l4a9*q9 z57vi`jv=0_8uh!lHr6|Pya?RHex&;PCI_vr0i@@_wZP@UugHU#yB2!(O)|y#Asq9o zeB+3B@&lLi=SQO70_(ulwEvL)a}K<}cqfWqoN7q=xfMb&-X|rX(0QGSyy>Qi(5pGOq33swQa)Q(#ymRxW|DsPFVH#7@6bMQv0|dT&41(v zinB;O@@yJ=t+Da&32Ef>$raDZe^$@2-2DCsoPFDf`t_-dd34%RepIuE@R5@WA8Xbx5I&@NJV_i7rCDxZNd$EW0ks`%$g+z0DAe)_ZY7}P#9cZ`w{EZNqY+)v)I5#x4n1SJ?nX~ zxD@8a^nZysMWN^$mUHi1v>#5Rb5lMaEqh_B%zdWfQ#aV10@+La<#ropvI>xEpo|byv zxdZ9f{4&q_$Xn5flYct`<27%_El0m@bemR8ian;b055SMCp3av)K>8^{oWN z>CAhL`1RSBl+Sv5u^ydGKT|xH=zE?A=4@``5!1TB$7$ULdS_HxoaMaOTl6bZw&6QQ zM5phx<8rFJp}hT-N%JeYi`APN3(05am0MQF{Ayxcj%y_Pb*2@f{>7X~+iuzh<6eZ# zC4OdmoaORjWz0Kkx*zeF*s}`!el^myua9;UHfy!z{F)!>ygV@Y}F8mW#nxp>ta0MZdCaciOjaJb=G?xfFR84SvVDLSClx ziGJG(+zF4w`P2D8=WTtZ3+Zbn&9wfk?OFJQ#DKaQXLW;-g-o{)PKH^vmAFfQ$ZOhSiJ3r;vBq;OI3Q2b)@RlfCLcC~tgqb(+VS z`SIRoKfOSHSo1Nce|3;8w?4XB9?IJv`@zjDU+k+YfX?lbyVJVf;2&f4>=wOWbW#xX zGV~DkXSw}2eB|IkG~U|5cpu4JxiK!2linNbRvhX{gtJ9=U!aYF~jF$~fR+g(5gUIJs`o7kj_J3WgFU9}H z3-hCze8PENg?WOTMX@w*O=lp_{D<$!=lloadpqL%X)3#dJ0*^ye|3CCDB`bq2XV3u z9C}mdQ6P9?3b?8GEx7R3(sFs4>XQZKAinH3e77nU1ik9I5$750Q)a%^n}TC#KFYVj zc*OzNe&7Q~BOdO50d-}9L+PA6qCU868BBHSQEh_Nvj_&xV&cHnfa%_rtC@dN{7D5U zp2JmXeh2hLzp_k0;=0=cck8ps4?g#$z!1>l`(3{JC;HK2rP^)K~hEpEQK+G>2;yDz27=1UX`C(Xh zyupEmmdj2Fq~BVQ{Jopex_(g#T(6rCJv%fR`O)vDfs24nm`A<26?|0fD|lXw`+^zo9LU5Ht zd0>O5)wY}+=HUGKESg`BaX!|EyX437;&CI?p(yIQ6#Cp6Tt7Sly-CmMYq`7@L;0$6 z2YR`=|9a@_Hiy65QXky(^r1Rm-5&9)GG8(8JYPw~uU1U}mo4*Bp0B^6Iyu~o#(TIC zxcFEF^wKpyn*5%{kEe|0XNy~94t0~Gdc-I%_M)s&6k`tRI0x5$fKDbAWJ zz)iXLI5+D5exN)Q*+<-~3EtP{_Cd;TXfD*h9{LIERM!szS7G$`3f+I(5Ss@ltswFv z*HlK`imk1XAE*8y=-KOX$b;4|MkQzI_1#>EM_ld(&MxQ1e(3ZV3hq>=bE8VBILqqA z^qt_$t2Fe+^Ahx?`7_d2x`B1X3whCdFs&rzdHRpwqWc)^54vC+=2g$EOL1Sp*G?@-Ej zfuxz>yPA`K_&*1b@|fDE1R4 z<>`3KRgPxh&cu<}$5gp|QOQ}Ht*HqvI_JTqW1 z47dr390A^AFgTCT0OyGwL6*y9LEtPi4P0FAh3|USi1M$NgrQ%4C~={CmR=vDIC+Co zs2`Kr5$lf6X-)kW^~Sj5_;H)iZ+H;$ppP%XyolrOE3J>HG75V2T>|P>RNB(f>e-Q% z;KuDY@^S5j^M-5{Mg0C)aCUAw^1vqs!e3l&dY%YiOD>@XR z`Kt30b*_(ujI(;@Tp!|>Dk4sGyGIy!`f`f@-Sbp?&+j$eYOiuwJ@UU9Kzi{C`DefQ zfb-$isNTHCORHB-PV!ebk!SWMV2S18ueIRLCHniWx>aJo<&LW#eDsFK$g^HvWN~s9 z*OfYe8~+*L&WbxYPs+EKD4qw`;V)M$Lj9Y_ec+-Fadjeg0sI$^N55irJo2Dc)u(lO zDH?k9ZwdIz3uVI4Z;1qOo%|V!DGRO|7pM1XoeQW#o>~`Nx6c0E+Ouk) z)tj{JbupzF&I{V5CVqd`GhCrJ(Ocmo+q?u@M#YeRboTGSYif13 z+!VYBt`?@^9IM_G?d@*)yJXY@J3avW0B>98pyhHm?HjVlKNQcR+0!jod_8=`CgO5c zM1bXbVT!UY6dm!E%xA z4j)mz1-*YiPYr=SeH8RO_i*f=+;{zt;LqAXFB9D1!y9h$PtNjjF3bbh5%hODr+jyu zXV{}u_~?&wpjR(GV1F>{!oXF^TyVYpXXKMH57Kwh;HFb#wC&fa`H1?hlmsrjrDMJG z)a-r3cN(}89vfu!x)Hr+P33yv>i%*+%VqH#$N6h4eAF@@ z>{qH+(q`+!Ptts;p_On>bB=`Wv|M$320ah1hj{qru1S`&*m#P+%WT@mdc^(&eeF}^ zU*g6!_+D9p?-4#>2j!>LL-@-wr52*SM=|23V~~H5*8}^u{6gna)BFbIzt6kI@Lzuv z{^IO^DF46ywbgRAI)ldh$_#(&xU*jm!aLjoqwm&et4-o z^?Pw9@m`YFb@>!n z-0>`j{IlO`WB=C&TTnc1zR>f&^&_obI5psJy4IxpFOE{yUv+y5J$oAh&IU)VvRv<` zbs^5yd}#0a@bujF%9hL`pI!gKx-hQ-Q0Hm}?c3(=F^rda%*4Ei6Aj3J0_|6#br|B& zqiG*g3tZu^mi5GV<;e%|*MUc9T<7lWK|F70|7S&uq7G%qDdd6o914FvkN%G7Tpu(y zIV()#HJbQ>$yB#x7D&s*c{-2jv=nf?+#7nilJY5rhG1Mev*|#q*IPHhM=rmQ_c%MW zaGH%rgzu$swZ8yvR^^=u-h$3)A~*?L<*Pi)a?|%6`MmE4E?qd@zbbPF<#Wa_7_U>L z`C6-YhGy@#OMj*MAJsV|+4k#HAfH?FsID61oMQE=a&vGoYc;qk9S?t=FB04=PeH%> zbiNr@FMi!bdCobJ;@R>p9=v}hem9W*^!ul2{du14SC^shar3?^t<(0UM_WBFPy3RS zS@x#ASE~lCwt9Yo-bc>WFzie6c9*4=%L>{1aOhz8nELf+ST6i&9WmcOFfZz&Cw&*3 zJ5KRW?~MG&Wr^OlAGU_h?QFwN%oppC8UjA29mXYn=>Hq=xaXAT(jUnu;}!WtY(pN* zRX^x?-d0#IvU{Z{>!a`YhF<(j{~yZa-#Ep_DYplJ^N)`)F16#cw486K0w2+4I@M2s zb}`n+iGK*a>{tWib;1f_Tx_Wu^s4Yz%Kz_qQU9#hZ^XMUr+5muZ?isT=@@X+mj3^e z6Lc@ua@H|hKZJgVlw)r0wp@H)3wnO^6nvD&TUw6`XrC0~3Fb=-=}mQ2Vlv`nLmt!n zH`H@Ya+Z$@Sp;qt6rj9)>4$xW=NU=-yg&4;{SamKI-(1>`uWW@#Mf{NzH{Y7`v1oK z+Ir&6CC;Vn{!8fP-AHi#F?}}TKT?;*yKWn}xqBY_zkZ+nz3ll6+=8QN@0u@$N~(exhFYAb#X3)|cM%E6rB`?c1h8LFjeNMDmaQ9dWW2 zrNCvYAMl;a%F((IbKb$ntUe!N`{nrtP#!$9*YDw8ftDNZMl{~r5v1?78Fk2?YQ)2G z9)-WNyTU=_Vd{M9cTM*9_y>XSBYv3Hk=|1pb?D?1tCF+)Sc_jPyy1TQ(;GfeKoOd2YK7$^Re~U`w zTP{+EtcWD>V$p+ZuWNr=YBW5t&iyA ziu~|8vGjhK8nM#)sBk(TI_vzvdHeaR;BWi*zkmPxGO(9^=XDmh!Fx`8e{Vi8 zk@jofaGW=!cNvMg`Y-+NuS{#~&$7kJ1(wTO^RaJ=<@CFO^nQWAt8(9H?AK;iF=}7i zVY$^i-Rb{x%btm7XV+)q{LHQfVI8Wv#)2%@`GTQSk@WxDjnB89mYdaIz}Y7U{i})z$d70!DIV84Sa-VYF6>Lr ztmoje%($yI4!yV2V(a6Km_+OIz$w}v;>+Rhh9WZ_TzvNh&x!RtF<$9%58S+RL;pG> Ug3hry^3Z+1yA=P^qY=sf18oM?2LJ#7 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/3.npy b/MP_Data/pose1/1/3.npy new file mode 100644 index 0000000000000000000000000000000000000000..5af5acb5932e5e01b4f7013f60ec7dbff3ec017e GIT binary patch literal 13424 zcmeI2_kWJb`}Rj!R$IM9+tCxf%ZA9XSS1_1M7<(mwL}s%2$M)6dM8R4L|xHY1Q}(m zw$WvYWkg@S+a-K6$CQIp>^m-?GrB`_G+xv$3&kVzq!lqx?gw zdGKn@2D?|Q$*T<>89F-DFKEEX(11afxA7Y>YEUL0HN-D?Q08aXdW{>`ujy8khx7l} ze|Z^Wa>J{1ugs_R%9&=LvQ)_3!M_%;LYfYoDrS!e98DuU5Kk*B3ugd!z1X z=e0MYUHn}W?JBF?)LBjM7u$|@{k1l=yM4y{dgHS@*4MmxLGK^>4efFY`AfHvXlJ_S zb*t0vyV1`7`w#E)fOG@?J{awM$zEy?r*`>fE&A6Z!*5uf__1_qa^_Q>Cx7*m$8F1< zIR@irYy585cC|IjKPVpWvq_=1tWJOEYizq|`33zutvo1yKDVg7$wO*?O!;#JXI zw@>Lh>5gqzU)FB2pIKZH#36=zqFuN71^H8+>(4-cu+k;_H3C;yOw_w~-H50W$AGmCfsX5V+_6{YyYa^Zbe;{fs_ zw!J~W;?ot3Ush?0_sxV#=-+waa=^ZC+?)sY$s>-^_LBW%W%u}OP9axQ?+#^ z|7kNe*v}^J;XwOjlauhiT;1r4{Vb<@B-p2DkAcB+#K(l)4S2mM%_WXIW)9{ZC5+e5WmS;KBx7U)hk`JoXrpC_9;qEK^=*V zAJNVZH92QFZ}3|w`_w;GM*TYlys=Kqkz7lXGr4p0M{wD9!%eF*%~RG|&eV6rSBE37 zrvAf);CF7NTb=XA6s$w@{V%I57d6_@`uh3`>(BAJzs_>Kst)n!BD603z2UFA-GPr9 z@EH4rbH3Po=!cy{9#o+eaMj??XvPrrIH_UQ5mhzza7UV%RYOomk^JNjIUiTJUdhc3bxf)Rj+-Z}a<|j1! zT+7X-qTp(JMR2jZ(`?I~XD;M(s|~oEv=(}{j{Mb}G2mRg(Rf>ygx>gU1Xr*BCjIbF z6#v!N;4E9q2*mTM0rguZ59USW%)SQkG<^U)pI-r-MeSJ*{mU5CwLYC2`4K)DFc+K&e*GXzg1=g}5l@jgc^dfatVLljsL{2;Ot7k9KlLsxH+7cc!$b}(-~DBT=%_s$&N=)dxCW;_fq$`lvWiIX}6^P(HiN58UOT|f9ty-RsWJA`)gax>!RwP>H$TXIky zX7>dbNdeGv@5+>q8&Q~d^DK(;@X?#{yjx+s(!VHiJ^*?n{gF?WyFR!{CoY?vMEvGS zIr1OS5qh3IFXr9!qj}_irJ!!j*Lupv&kKe^ugBCTea-~O2*Q_h`Am>ZQI( z`a;Dip2}CDXR+JBRi13fE8km#_OZwd;PUb|=vCEM@Zn`{5Puv-ykQaAXHJnn`@TK6 z%)bhH-8zl@>(u}kP3zKl`7m&OTYxi3b>;b<(XB ze8h@&=+~qU$9W;PH7EaKUBIFkTUP0G#_~ z-HT%CQeBOv^Nyz%#J;4aD!LC`axhQQcMIK%28@7@{#+S8rt~R{ORo{Mz9w};e6sE$ z+^1EQW7uc(m%ZR3ekaxuFS3o!yV!j2XFK0swRv&8-yj|*u{iu$=tauI$tSdr4QLAP z9B+#CrB8jOI>}oETnz0({v&fj&#I=uU+js+dKY~IqHUf<)l2YYU+8>v?iIql%Xv%Z zkPPmO{a@zm5{Y>k@(@0{1Ec#u+sYyESsw@={jd?8zrQrZy@LJx1LENqOTb4p?t*;k zun6LNgOE3|G9K&8DKehwX1{@69Q!cF`m)A`V^~|XWS^CvOe91yKl$6i+h(qo%8(pQHQ)*9PWGSGl##7@kac-$8N;W zf7nKK?D$Zg!@SpcW%{ePRiPIr*HSzw4D%w676fO@(-4nZ`3`yJ3+Eyphp(l1c^!#+ zkyt$fdVcUL`qlAcR@wM@gQ9d_3S5AvIXil-?brNaC~rXr;A8g34zhZax(hz0##Hz? zfr&J(3X=N0TL$l$$a8J2kMO4bMW2rV7oNV;Emz-7M}OkTR$51@*=*=9<%Eyiz7|h0 zq4zk;b+y|Rr`JuKJKF8j1k3sM+wj$+b097~bazCu^-rPu4;#`1c{Qt>EVJAh{{VV6 z>>=V8pX(w2jz8TiGQUV8&tlt?{#Gx$x?Hjevqkf#A+!%)nDKi>z#?pSp&kscWV%Hn=%UbqAzotM%8dt%8{Jk>c zF`I6~mu;eT$*;T&vt0Gv51q{Gi+#X6S&ux3O6SRUXLo8JmFx$f($VmjCvzfxmiU6! zd*W_z6?2E`dHLor8>g&$37i)=2QE*q4zyg~JB)FuzD23twzimTx$yZFdeP1moFzXG zw_Md24X%ei#XR!8eWT&u*pv9kyWpnN-&jXFEIT+`nv42vw+#D?h`fnBICq~l#Tz?I{aG8nuQdjBzY?jhG;5pA>UsY$b&Yk<3*2TB6 zbiU|Gl+VlA(T|?l8g(Tq(0L?}b)dR#T?prbNTu(;JhlY-Wxc)7FR$|f@rZMg7@yNB z!m)X9o)4nWM^E7?U(`jNn122=e|M_jsaiaavU=TY9`Y{(GvLS9y;y9=>x{if?EUW~z&##4fcUoVD56`MonN+zieB3B6O!TJw zG*~jr`ssi*cwe-k?=LLw2I^nVUP-?FI?%Y=4O?h^bdJT~vP&?y3_d~koD&o$f4!Rc zkaFOxQeW~f^b%b4a>04$R21MUu`Rf>c{%mFzaHr`T7jFFr|G_Qr9A0Jd4P*yk%&hm z(RkUCY{UmX0ym|{<1@R_ALHf2Hq-fHg2+GLY^)CB$-8qc!w8cT?&&z>m&_a=!R1!%N}G6BOz}bO?r?1vG|_Q?zun^-=e! zUwzUW{is(X=sY@8?5%E^lCcl#h4j0P7&IJQHEM!9=t>>&nJ15=@g|(WIj*j}!n)@DeCXLJ&ezTh zKX?T?`P~#e&F*8-mb3e=(24SQ@id19#(G(O`|%XVsY&3vKK(w%k9VW|ha5vau!s4P zALUN#l=t3;bD8fehx1+6$~vEVe*t&Gr>wC3nhe_abd9>;DyTU9{^0u`^}A$Us*S@r zmP&b;90#uFdV-6DUol=*gXT*=t_;pR7Sg=<-NQJ=msX_jn6l9J%ZtT>vjZ!@d0=hY zx8L<3eb;BS?k zdwIP?)T>^=5T{lv*4g~&=6y)N^9QQuf3IQPIf-;%Wd&~`9>;wi=0#Vf?}NsDGv-C# zKe^WS>-2q2^Pa}w!@ir3dpLWP0$* z*oo?-%{$WfXbdhdzglMd74_a|B3Q>OE z<-|P7565YK-wcD^lpcb8L+@S=?)0inK5g%vE(lsQk-v>F0hSwU&z~-q4HJ1)x{4Rpwc)1|0$C zW+3X{EbP6=a??5roOy7#bp@AQ zYEYaRClf5!%NM{$_NV=vml_#ix%!8EREQ_ymp?p0{H9_j_!xIhc`p1Jd6R8gQNKkJ z!A<9CTdWVub{76-e@WU;^3;w(zqxyZi^Pi9$HcN8*q_y-)-*1k$F#pa{~r5^aET$G zK0Uyl0Tt;ys<@K)r;Xrj-HCz8ncbQn{lVp7+IQK=GT5J;3**6=8+|X)aXkiEJ zt~Szsqs#P(wsD&FLrI^11>$FIL$NMY=TLC*;w9F#?9&A6kymSjJjk)-kbfykB5yi` z#_L4%!Mc_MPKH{4^*jB4uHGLCe{-r_l#NGkUPAqL&dOVns*@4tjh5tJ{vGWn_lB;7 z&mHn-E6af!e~;BxuL9msoV^!avpTl()olAT3#!A1wcZD=V_Kqqw0|9N5fpXB>h%45 zJM7bGUkg5ZfIG&;s|1cn&g5)dXK=aw0JvJVc&^opvp2!{Li$}@WIUb&-ux@Lle;O+ zdl}dLmYZ&2;Nr+Fhp9SIs99|8WWCS9+Glxg!$;z*S^+=+(8i{SeRhKH&N}-P;Y<6D*e( z>Vr%7Z=jbc^t-E!ZwxLj-3Mode8yTmYyUIp^DPB;Vz=Qw;I!)q?#vAUHLzL*|# zUhv0Fh#!lb2A|Q*NWZi+xUSGU8r&}!oHZ>1&PP4zX}PYNHQxI4`?`)RKG<@n<8;!m zsSCX`Y0_|T52`~RK;NfKp)p8VdRw43?a5!~ID-96c@&L8JZ@=-UkB8s{pv$KoL{2RB5>#5p{NJ7%?Ei<6TiW@ zbdH&q?fYWGjrI0vn&$vFWp`k`h$n&Z@UKDpiLCPl>q{PdGv9LlFb@9e^E8ZCo)5wL zmFHVhJ`d3U%c%1$P$$l>t-$%19`M&6x3@>X7remP%vo61qG|uh;Pd|l*BKdfKF-do zEY}0NB2H&6ea{lJ8f^mKNp))mrbDk=6+#}&*_zOcHHP-p?yJ^WJ+Dgl9GUbC=e1fq z!ozaaX({>@MQYJH^4_{2Ig^W!5XxJ!3-a&WdX)&Dwpsf|tNO&9+wj*%%Tqp2NaDjb zuC#iskJGr$3Q_S|t=`-yK>D!4#Jkpt zNzUY~!esQT0+yg2)GuLMt=@T-b#B)E6M4`FHqgFzw>^Bs82X-~_kO~;CYlZgH=7E; z$C(}5)B3Q3W#BLW+J!u;JdsJ3>p!bQuM0*X9_Q~uVU`P?wO`Ggh<6T7Rc` zJ#f~S_D@-;+jjKZ+=u*g4ndy9qO@I>>z4E3@5HM+_A@U#VkUTx2HVe`F5D-}>Y@=u7sbc($IV{12vnop*FkmQ#;_%clcYSiNYO2p{p=U*PP=W=qM3 z&R_Wl?UQ=kYph>YAQb*)=vSJrbqi2GrabNcDye$9eP1>DC(1tM>*X}Aj`Vi{#y|fW zw0}AbE+u{cGi4fVv|J=jCcU~$@$_rA$a4N4owH7kByjzpB-Vv2?EyW1v=y9tb)@x@ zvm4?RT{a@mGG^Yd)<>VE`x5(D0D95k6zaj0n*<;BE(LmLU=n= zakl;qy^cRc{NVoOi2wb2a1r?doadR2dk(AC5b?;6Lg3OhdcW1n`ftc*VI0NNK5#XB zu2J6Pp{_W0oV7n<|L1cfDbDai$iEsm5#N`c;$6Yz+;Y(CNg+5FWaS5>ulxdatLt=J z3;$p`*VLFcs5gCY$TG`$iLCsTc>ylJ3GhXnmncr=P4{zErPLnF&1!e}EA3DDciTky zeB2ydyymozg_fU|Z2iyDyz+KE3EZsm6GY zhfl#@i05#nb=om~lI6NT`HQmj|DIYmkkBt02fe;I8hZ9^=tS_~AaGXnAh-!0+uCy0 zkoG0#8r`Ghso!wF;>)t;r8nJwOrF$WuS~glun9iW?0Dsn)Wg1{r#!|zR)o>t*D;5FmonSlQ$1g$b;SA) zL;mH;Hn=~iK0Dy=j4OcrsGglC+J4p3?cgj_L+|u)jj>!-D29CMmk+Qm9O;eoT@Sns zz5e$Ps;gyYs@1a=^gYX@eT(%Xl5a1y+;qsg&p%vA<84xPU~(pRYLBLP_V(Z?dltf zafQzU*Y4veZw)^#0#9EI?)W4UFLg53afcN(h51z#9#Q?|JFv#;|M%~I8TelY{y)jU{{gToJnR4f literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/4.npy b/MP_Data/pose1/1/4.npy new file mode 100644 index 0000000000000000000000000000000000000000..77c29a0c009c4209ea4bc505662688a43e360acc GIT binary patch literal 13424 zcmeI2>3@&M7x#xys%R}mt)pmaFKVf_GSpfPN|b~!5fRi9i4aRRy%j*b8`O!_tX35$@Tia=gjAvIdf*YE=lav-Mfo#J~oPt^XwlK z78vT;oO^yXpqXbK?m1w1=*ZB3VSR^(_78HrZNQMQpj;j{Fd!r-_xGm_nlx!xr)C`< z$^T#f6=96&h~imZxlh@8(s}n3OO%?>9!f{_!2O%PrJyDjz|+8PXc<(iEotrCy=GsZ{iu(=`Qpq22Uck9OT5Pk;2Z ztFE1Ik3&0)UX6CO;|2PQGtaDRXWMq6oiAOBcHWHImH$B+U(uQvAM-en>EgG4lD>S_ z`iko>0jA~{w%5ZW!KJi2kY8J(>E0Vw?9z)`2)}{c0NSAzDW6F z&BAZGe&R~gf80~n_BihP>uGu8-ye9!akX$b*-|VG7{2Kq_Xjjo?&$#~fRMuhGd)7RO=X;4y-O~=Zebu$A zlc(0Z-=cLL__ysypDk>P{F*bF8EAidi{hU@9sSwsdDqdu%xBwOyDr)Pu6wH5$Dg<- zYu5C%YqxwX^?$zmwBy{v1O3I>IQSPEqIWoMBYWLIzhU#yUnI?3>iV;;O9neG?^nL$ zo~l=Vj8A_)f4Tdu>#gqRo}%7%^jF(IegnQF@n`UY+dAO6a6Q#U+(xvU{qe?e{@HXd z*r#;Gyy`RA`9&_b)k|GRd)a&C+*2)Wf%-M|DtNedVaw6HzU-CHwVOSY(BBq`K|7mX z8+F7=H!XqwSG~|*7TJP!n^6+=$d;A*(6x*AFVXnRS1#c6b+LzkL$~&8j{ezE^az{RA1=0nB)l^^IKP}KRaSA=0^`H1v0t*H9cTakM*N)vs2|&~b_{gt&m$gD z9`$7}kMwc;+kng9GGiI# zqjZZYi09sil;_<8F)u*v}2jIHRfk}?558nZ2SDul5qpv1|pVf$uKc556n+}L_oORev z`ah(B%kE=C9Jh_?gNvCLFpp}BMK<)!VvjRkPB-x9X^xAx z+rZhKuHbsZ5#&cF2ZPIjwNalYU#l_B-t_nf`YfRmT*Z;sp!lKz;xm>cs&{qw1lKrhZeW5dPI_X}yh5FZF*HI6q-A>Gl_+TpZWVhI4 zXU{h624_j_Q78I+AJn0pFc91h$fkJ<>;`*Yygu2V>;!xDpeNQZ&zcC%-wB~QZ1@-H z6zu}8I39759UbKGC+=h<1H4x*H%{wl0 z_F~-+=x^WBJhK11kx%o_6X>fW&yaszaxLbUt)}?RU=Drbdnd)|n4^^`{+ausuSTB0 zc-8*((C7I-fW0kwmh$=IdD!cViL{^0tWNvYiwfj-&Rf(uFY!0lo!Ck`ws!~Al}P;$ zI{Lh#yoCFn^2&{adEbk4Pw~Z#4pKf>R{|Gz6?zhu$K!S<9@-D zAE6#Z#fq@k-RHtDdol~_T{j8CcudS^l>ZQ~AuezHJgpa9^gmihB_B}yEyiG6=5}-R zV-sV*Wyw}F-npZQht9*g(9H*t{pLlKXIT|_*7g3Q@!q)xdo{i?^2vvnBAu2Gi1+W6 zfPA+10O#)>0_RtDQvT1+0vEgLK;O2VyV%)Vzi!|vYXR;tOu?dwFS4~XTa5k(X`KO_=5Pwg7C}x z9fH0*Q43tD8sH|nE5&&!8~HaarqI4Owld;W{jSixuA~>$ZTmvYT|L+~1#k{ZHW!?o z%1m~7)+;}SKKttc;*q5vpq|;%s^mA}G&nna2l=-Pej)qlN2GtE8P&E5-hFpW3rD*TGRJ0?T_btZJo{)SlZy!qOZj+^{{Kvz$= zf^(3kH^4oCJuOGP%Mm(%SI-Z3_Uynp=%_V=$$sU!-r!vZz@Clx75l1+N}_vRK~KbE z%{bBt%BFKaFbG_G97R5D{Ytq1n0uj^SFytn`M1@M`615n{?O-#JAkX?NQ_I@r}*Xi zao{Gb1D#*9JJNV#nt_X_Ik;C?pEPhAb_(&R$U}%zjlBjgzYhgxyB8?umnYCZps!5C zc+Kd`|#$Y&E)1nhirxC){Hs?$11h-nV(y zYQ)KBEWtc#zdx{E49|vNrGl1v<;EknltJFq(|0NUp`VU-e%Y^7C;C}ks>Ap;*iVH2 zWaLc-SEKl2){l1fN_VCFuj`HYSzOnJj*InGv2Jy}VzfWohVZK+PEtNMR)-GXJm|q5 zr?Z&u=j>q?<$p*OjLRGjhhJ0o06pt>Yv$sY<=av`0SzeM-ovIi&OLvEKh^sa#IF|2 zh<99Ue@p9sUT5^Pcg9A*KIjhFXM`iq`d}7xMBgLO6){^V-qLMi({pvq=)07+;d7ub zCpDVyINOu~J3Fxz@}P#L&v0BV96^4o-^F<4_Emw-uU%RU_N>Jea8vaz&O7;r?%U!D zeHY<}`hoKojQqyFM|lW&hV`o+{tkWqO)%z}Z!Zw+{MvV$!d~2{gr_|lL+fsNI~tEV zg{Lh17xF1SIZ3(==25#o9p>UR4e1;)4J`HnTjmwjXU$#EHD&0%)U&vl^CDYi1%dy)0QMqi z4$aq*DI**={{)iG8DDUIXjCM4U>$Jvn-AIly%p=!j(v#niUs4rMP`E-*cUto&acw` z!!ifa{*zG>b;91(fITbq<3g`ozr0iy*$)_w_;vYYtW!3b-j{8!K+Fr9Tr1J(vnV=u zcuf!JiBavb&x=Kp=4pj5>dGunNp|*9Edytb=a9~Znz$dD&D$ye1xF(uUZEcLTlwl1 z;$iVLZnJOkK&NAu`ydZ;@kq*F&BvG*me!Hm)Jz}W%~U_`oY=Y?0gBbFS7~UetIAA=vQxO zTxqG`W_>K?ombfb&Y~KD^AM(Cz@}e@$QYH_lv6ZUchJ4dpApIh4V zuQZzX$S-}7|I1m>*Xf&SURIUv={RefcmFv=_cybD7w!XQODFi{3nx;X**?fW`zV0) zJIsfUTHzkC60ANa)TZwhme->7{zok3KaAG9STz>?O!11ut5!t(d`)Az4+Pw! zx;jAbv+|`u{BlNPtRpialKgh0@5c6Vo5`q$CC$M_zap^LYkr~gsOxpiw|cMw@z{zU z^^vz$biV2>^gYTP9swQRz!Uc3Bz>0<2L{G@<>p!W1VEn!Y=e$|SPgNiBVLGKl&wzp zkh61X9j%%GZqiC2Z+zDpjX0aOBmT+<+|2wr#c?C(9|RitEfuQ zw~ND2Cvs#LaMp_Uc`NsYI(>FFjOO+4=~TDl57K^BHJNm#grm;w2ZM2rtG74FZ-A!y z-*qv@>F6D;5T~j)mF!m)0%x4+N~C^E_QS&_ID1}~_EY=22icd|5eD9s?r&zzKAcBv zP3<2Y7aI?tF4?Gf#K}gtS?-m~%~gT?tHRTfe>JxDJZG;4#ewr5ykM_8b;P{riS&Jy z-+B-BqRDW~iwr&ndvQyW&fP%FFFU;+Tvns|qWWW5#e8*+Me`(%()usDG+~cNRxtx`tdygvb2QK$l3vl-4J*rQ2 zV-&b;dwPuH%ws#|MIOz@yvv}JD95?aEO6amfW4>}uibC)PJM9U+XwNp^YyX6$%0>BckS{>?bGPzUwjMfgM(midQV53Jn)kQ z$JswA;JoN8aQ*#fbI^Yc{eK+G8c*Y@Hg-Pr`aCBcR)}<>BhnmK(aphG;y`d!m7{J| zx%I@OSJHaf-8aeEo0KqcJ@a>Plk_*)SGfvquj~fb=bj|Pe%Whq6ZaI{uKQ%6oLH~(r0^cQu7j%oZM>8z}Rys^t) zfvdd?+~hB~(%H+9ouvQ$0PH8KI-BUY-r0*5K?--nk!L680+7kMvJ>r2Un@fxXK7 znfS^aaQiAF(#2_0z5_SKo*{nQD+KF;HSbP5sWZ6gT@C9|%%ME60;7?CK5Z@L-Bj!V zd-2;=)U8a<9O3lk^*HkDa}YXwpGBPPZZx>=_ao(P<{E|ksHQZJ>so;8CuyiRKG%!l zSvem2hWOz8B4;m4+$O*8-lRHD=rhat6+1a}*be&MsA{!_j+$PF^mCr$y@M@ywH|Sn zt4jK>;;7!vU-xzTI*t6=A@8D2SnL4Qrz&4t8aj>``|BmR3kaP@SCa@-`B1Q!|JsPp1GU2_WuB!&FP7Kh9CZf^jGescy8Rs zJ%s1!vwbn(Z1_*`Yle1%z4oB*4R)>1aEvRb4>;c+3wzuBDe|nl3!SJrIuJ}E1H40}1K8TL=U_aV+%d#)DjZ6e)2P0L?seZ|s#rR^l-O@`D- zbn%-~L!rZJ48ZxK+BIF{;xvy0#j_<6oE=>ReYvM3*=xE-X|)6U6n zkx$z!uWob3gPZp4rXvqmzJ$GM(TKSB*O+(H>%}$KE}xIUczO74`c5)<4Ef!B5%r*N z3|Zyu^qdyp_RPn~gN{6neNQCht>5_Gs5euouugaOJAL5SBnCl8+#KA=>F_b1Ku7i} z0>8Gq+KD*4J|g>3mnr}64;<^bs7~jFE`N;nrA>na!P~q89e$X;gX#T#OC2|1bRXld zY2ERIm1d{sa=E@D?Dg6`h*Onr`Kz;+(d1X1dxmkDmv5*(_w`0RV){13uktTRb~?I8 zY3Qi2^#4R=+D7Do<=lfk%b@SUJm}VH=x-VTdwcc;>D=f{_p$knDgFT3S5^9G)PpSV zO?>kKoG(1~n@vtfoty%FbC|wYvC5v9N1IZP;tYwS_1-0Xo{Lkev1Ffi4SsFD4D9n_ zC*2SElnThRp7eaJ(>MAs?A4`G;PStbDTqHZ6`ZBlBm30ExsK~8Q^Bn#eWy3;-U)PE zc??JVqI*lk!$Uiue&m<5Ud)vnSK%-5+9>z5*A|lglDzM5WBy8YT*e;&mkr+1{@s*m3WJLabY7?pg~3^s5#YK|C(3it*T}O>n2$Kk zaJnz?&x248s&H}A$v>F%Jvq4Sc7b>Y%8xx>fa>SHVaShJN&6~$`4RD|O_5Lg{tf7u z7ahU*#$Ry%H_yI6Jf=!0;<2YQw!3keVp*_fb?%c+4&N9rS?Xa*v^y}wC{A|v1I==!&qi)%)8Wd099>lND=g@w&sV2A{9ff^KhV_hv z&PCeCM75=)|3xS4!>n^((*H9Gb;V-3ZFcdno^=0Yg+{}#I<{Ro9eJre^wr1oeUFu` zh5b!u(!L}kZor=H?>X7oo6Wr_o>WftHp!2^BiSC{CL{0v-wGAS{XtLo5u7dV3mx%M zdKbhqFA7}lrS})!J__fWjh;n1ed)c)mRvEw+3U9HWIvbw{z!~X8|Sz>Px}D-bu-3m zudUM1mnBGN_es>V>=hG|o@>u$-?O z=XJ{ZID7N17v;IX?`8Dw?Th_Qo}s_*vgb(Ow9e_|{7N6HH$I>KenjUK?BM!wFN%|2 ztcm&MVt>4|H*>#-Up_Yu`;uAGCdTpH_epT`^fu*xMeI1ob<{D6vmAY|<1Zs{u8Gcz z!PQnjNQ=w=>!Qa3A)j?9PoC*Vb%`e=no?HGA;hr`ypw(%;_4e5tz=LfyD@=Wy8T{Ks+r z+6hDO{{o^4-E-tjhJ5OE9k9=+--gq8m-)k9%v-qtIt}UXs`Ze6vA?lSgKd7R1DB)oCp#|A()rG77}5`1fPK<*&HJwM z*9oi(Rd6`f^Me57M|ebIyn1Nl7N?`q-Y35IIIXXSwbHuJL zGP)eN{EqfXof$-Vc=?>potVC~k7YCl=Uonio2aNbr*GTPI<>y@$UfpU@?*P~M?A)7 z7R9;A_cx3;VI*{N|IQluxBfZUuUH8|evg(#9kS(zXQ$`t>sR#tE-#;@dHKEDLdVtT zH1DSD*U(XZ!&AZA(f(j^=(`FJJvQHQ+n?%OO&vq?o^WQO<7^h)&vk@1=`7j4$Z>s; z&R_k4{*H^E+&kBC@uDcjzw%v-SAF?8@}nlc!o5^4p?f&{wDcseTzj+hHQiUg@Q1xE wkueZ_9jzDHKa9@D96#)nrh8H3O)mWkT&7mQJmyOM@8AD2@V^ZF|B!+I0}C%-$^ZZW literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/5.npy b/MP_Data/pose1/1/5.npy new file mode 100644 index 0000000000000000000000000000000000000000..e05dd139e9f066964794c920bbbe565b3199752d GIT binary patch literal 13424 zcmeI2`F~Hx`~F8QrM8M%Q!&;=1+^!Zyhdm&MbpF=hU8+AY^-OW zz9Yhhdp6>pP5SwGdUMZyLxztW-YcT#kl}s$S{~4A(1^a-e8hlWL;Ggmd)02xppJJn zZ$6IyzyAAzF{Ym7y5-8g%H|&~+pCVLaw{YIYBqm-iu+sNqMdC@yJ+u)>(ve0?wov& zc7AFK+Vy&acJtp0wDTL(?qpm*yXtTe?Y!!1v@7ue&x^MOZo)V2I@)E&DL1XZ8A#8I z(AXPj|F7UBT+2;DJG=A_&zm|=9m}0kerPv$V$m+U=d|-1G`^V*jW0u9u>LxW{PnKt z|JdjGg+qVatC{@vvTf(9=y_Hxot_U*xn|o{zaYo9v+uIdziiV2@yn0r(JqeMLc4xI z`QuF!@4`2r?!We`Z#+CUfIjG z2krA>&^?S>6#x93<&OK6|DZeY__S@;YvYdEd-FMeY_BZx+Dm(N(wwulU0j%Z1nrH= z<9So8#cSOAyI-^I+~vR8-pfTZ(62f0CAAm7bkVk(Rpaoy?os(Hbe{T+y_)>ZF@7iZ z@kV>k0wT~qKhXrwvoq)Zw$ID9Th2fq;Gloa7vp)+?Mu`j4_&|Awu?RUA3<06;wyXA zKVCeak$q*pL3m#DNk4D7GtiBm4|b#Z`7blwauG7%4z78V@x1tFcZz*pbS)na{;VX; zn|mI_r@Eh6X}MaT)XQGw_;ft4R@cme{>r80;H{>#vRCuBzHYC2!#1?bzmM<5eZJ96 z(OxO=F5PE+CbD&+=U=ENem1BS+FN>4{m$^pZQD&&1De-gUVie+zE}As;d!Z((ay?c z-L}t(nx0?UD{E7eo*#J-?J~gw>xIn-C~n(T`@a#tv!g*CVf8bcpR}A8_Tly_Q-6Y9 z9`1^E^KG|nmWyAHm#|m;O(yEwBzD6%Rj(ckGP1c7QiRq;t-V*Q&guVZh2?tl9q9Rn zg;()>?CL~t_pP+f8!Vx9IJ4mr%gu~0;iKaVz(??~QfIX4HT`uWG=cGTgj`(jM=-W zQ;DzMF~xExhW2^Zz5?b&?)F&@K5+;1dRTpMRqNm)%f-D_7^i+S0QnJ_-G6aepWb6p zFHXs&$g`7s%4qmR`GND4?ZkU;P?l@IPl&^b+)eZHg=?baa(gnkDA*HRziJz4xmdh` ze4d4a8}&oDP<*5aA($i>bFCIp_c1}%kXy^H^5cY-73ZFaf^2`dZXKi+(uU`tVM)UYz$G$S1I_99L*hxQxYC25xRmnm1M-$DB+{;1(tzs{$#;HJ1cxcGf!D)ce! zkq5DQF6PC2@|c476Cc1|wK3QqOzywI)sph?VHYmLhc{fj$m-3^qTuph1+Jnb#>?xZ z!e74l6I^b+Hq+|G^n=iwifyo;@NZhsel@i)_1kJU>RihrSdZpS3Vc+#+*CiGRm6DJ zx8so)HKo8gmmPnRYjLJ5PU>A9Y`K{`8(i=I6Mpha zDE!Th!UJVIJALN#J67IJoF@2K$f7dk6k<*a7nI zGZA@UJ+r{ovyI@~^D+7rB}ZYrX57!ngL!jjs*RJymViJ1#)tYHzJ=zxLEl>53vLE?$-cIUmxp~!*;@p&q z^MyF|R~+;mi$l*geuq5k&gG*m7mWsEJZ#x@n#bAA$GWn)szv*oEO`)lD$Qyf2>(P|Hj=D7o)0SaeneE|Yn$r7171#tHy=el) zS*JDiTVrDa#`R9^DemkkeqGez$;)*>GHbIym%uzKEZ4fJeMBXIS4H;wE2&EU>E zdhf8jn~?{$K8^H^={=>kl^}fw;_}KM^y@rZjDDRbEy<_N42q}FPQ)*p_=5}26mXvB z3+yvyWdm?I>m0bc*&F_*xEHwg{et4pI1fE5;vk=V?2njVnTzylekPskN@gLS;?%&^ zE<5l3^uA{6gD{VLNO$b3vR`HL@3M&E-}EEuRu%97XP4FxKN*1ddEz2)wLT3#y67mX zlbEWcKemzh+n?d1$Ibya<>JBB3~%UF>(z+g`J(}Se-uf=y5qZ>Q(Y}N0xrCpVZLN1 zsvmyjD#pbkPa;3!!Vi>}xi7K4^s7c4?Ra&aYUUv*X_d?QDoY;ujI_6#wc_==Cnz|D9@YDE{OH@R#?V(fO*-VQ}^C-f8QvF5MYs z`(;)CfUlai9PdHdY}Gi+RY1O=1gPWS=(o4w(qKZ~J# zwb{V2@UKU4ipKu*9=SLV`!L%YMDr3f0eN$L@@x2vi=aBYTm*S`+I8vdvT^>_0shWi z1}>k3;ymN*`W@WtZ%F$0o-|*JT$G3NAJMOK{n%vd&-=^=7lV_*_53*asKS@PO^+s| zUod+d;*Xw4ab9Uf<1KTB&I7%cAx<8Zg7{5I-!4`!-6~L=6NexVa?bKm==b0)_^7sY z-V=#yao*E6a`vAZLlM7v?@RmtyMJiC)LDssbyC_&SGK>pTae=EdKR4BZ9ba(A0d9Z z>N(=k3FT3r;&CkE(Yc=?9#Q-KAgfm;n!$(PE&)CN)?*3yp2k?WBJ3#jpA?6F*~~vF zKYL!lN9Xs&_m9o29&fq)>vyX24IFuPQsxT8pW#h$j($(^9}B`d zRUyrAZ+2|PRrMXx8}a;e68YqRkEH&0jT>jVthtnYwywZFz+y8-pkFU~kEn_{`-l*1V)JFX3_oUHQujA-DQ6H;L z^RnyIJj-RlQpl$+d<5JCUcf%D)(29aLyA#d6&kzH>QzH}ADK;Ep%O^a$G!QA&R?QQ_(;T=?1GPcz6|FP z%b;2CQw>KZxw3uCLz*vk^H0j#p=LkA=RhC$hy{HvTb-;|1mj}){sd=XTi~yDc1N71 zQlQD32Rf;t*cKAB!vch1?I z@07o$fwMam5s&uxh;gy-5#X}mI*K!W6Sz*uO?o+sxMv^qXYvlAI%&BK`O(jF&WGoA zpsx745kK4fsMGYjD(^WI`Ip``k$+a5zGu~koOLm~P8+Ldk#zoX221dYq}Ik*^2=X1U`miGT|A7EaLAAN6%p*eN?{%hnx$CHl? zyG!F3>_+E-sxg3OgFE*$^rq`d%*m_6{<^*T~M!+OHc z1eC$=U95W%aA(#V1T9_G`8L6^(1(kV(jYle*B0zPG5} zx>iB_O#egomBO&j^f4apvUT!uFP;}o>Gurhk96#lvYR*bW_m8VMta6uz4^Bj`CnG> zQS+lQUbU+>jVt~R>Ol=FkM$zz3<8%g577H@_Y!U66kF-LKm-;-KIPUii!4_e@zAr( zX3(4J3+Q*kjn^q()h=JKaX62nv5)Z|$Ak0j(cmWjDD8(KRlu2FU(%m?g#Ar^eHP<2 zMW=(yORp(E%jXdP`6js9kv7G~BhR%3mwmoP-8!4Y@IA|ai^2H$NP+p1*Ec8HxLDn} zS3G-s^?g2Loi<8g&>6l-smw@ZRbRH8IE`vLj z1?k66rg^V+U>@S^a{`>Pufcict~dvZVTZxh&hNoRrFw`*c;Ci&*`7@7S1f&QpdFW5 zQH*?K736{aHl(ZdH%;n-i_-qYqsv8GuC}IQzQnsDwC|<#0O!-G9z>oA;5_)J82I>o zb<6f6*2dF(jrU$?xijZAI2(F{d}@U*vpV_M9o(o&6o29C$g_+Ox(%O8{^y}vHEpZC zI^q4vzfmm3c{VTBotl&k?$n$OF5cXjXZ7mlG3xipL~!$=#6s}+T=3`nIQa}t((pgt z1bY6cGq_CII@@y5=r{83dII&&+6N?n_lN{H^K#BVi>5-aq8xBp>=yL;{`vVn{Zz}@ zwr<4dR3YBwH1zE7YHGP6XqN|Zs*w>3ELUMo zDgFhy&f)(2)s48Gpmpc`6iVZIup0ZYI?^2e&U!c0iR0^o`qXvl?{a!(Q_6FC<2dx& zu`K*qv5hpp&HT5+e{4sJ|3f~kQ&a54l#J|n#MK(aXXfmasSdv1Rm((hKD{gaomsiZ z!>92Wa8>>Xn#ZuGLo9bZ>e0CR%|RZ_httWH^X((aC-oKO`B7eckBFb<5HEcLdUc`y zD62Qk785_+2ArS!eFS*=I&kCN?u@;c@8d8ptXN|jZ{{xKQ|ehOZM!JFg7lqtp0)Qn zWh&-Ho$5gPZ#|J`7JeiZ?XjJ~#pqq=SN_+21Nc444?D1i^7-tqgp6!IHI?$|BpwIX zp=WXKQprQnuNd+UoF7lYd(GMW9mUhX2IarTXyo4+G8J5hhajJt#~}}LBGs)p6;Ap8 z^-6&4msc4^K2!Wjzq9K=8z&zY2<}|kjXdk5X*g%{MXkX3y9&_Dx+6zeA91lJ_3K*> zoO?||{may%q<>Q$oDFD4=i&9Gz-3qr_A%|Y4)Z8`d;_j}R|DsPJ5WD5xH|dIrtf+c zT?zY)EM6JhRGUlj#5|*OBQHz-hdWR_ofiL$@!st~{_E)XZ5G!Z@ypbn6Y_8EmH8DecsGYNw!z<-%Iq%k2Ixqv7&6e<*a!u@nnv9 zSL<7~v|MehM*Pw+=uMxBLo=+;mRjJ>=k$AvD$o??bJ6%)aP9u`w0+*V`cH<>q5r^D zaIZ`DUi2=p#9n1k7sRhVe1Sa3qHhpCt6mX$G0=GWQo6c>qf67}A@tzgO zs1DUgFZhU~S?~5*|D`mK=5|Nq&5W;)?{2d?20rrFiO@Sf4cA+L-mNvb_L)IEVh8-q zvXZ2KeG;56ER|&S?ACU~$mCD;PjQ**R#YDh&UTHM4t<6%^gRA+;(Z=q-qp`f zZ(@9j%`jdze(>ZB>;EAZ{qj1mQ4ey|)SLgy2+(*x^*e^CN@eL4g2s8`LRp>Iw3!6%|kke=zs?le~q&78QGlOuK~RYe2zHHzRz~TUzbC_Y{5O6 z-zOz-uG8b&f~&R@;G;&*OtL<@{8#XCex=_@O!-%-*2ih^7w*IET1d8(n{hdVJJ4y4nE+4q8 z)f(e+iWXjI&2FfvU|bRgty42sph1h-<3K0WdF*DhaKOI`QpU`pqG*P!HriYt&7I=9^sL1 zsBXWQOZp+*DG$FDB_0q*b$*!6fnuQo*MH51k5iW3%TArH;H*}D_=p9|&@XRI`-2lU zJ`v-3dmLO0=m|X^?uLBoF89GrMjW`4^b5wz@6z`Ut3IF36)Qv2;Zuaphni(kzmF#* zTdqUt{mwr|;k_f~os7<~c`Mu<{_LB7sowGp!uyd2*Pu8HHiBOI^uc?n@g}-_N&z%T5o$+4cqVEN9*5ye)gr#(c^4CHmWbS(|*6&ocD)O6k^Mi`DB^^nTY@ zcO!n2a2fgJJ96qF=?Cmfa%iuq)<@(IL%%GY{6)kK?8EBdAo72_26e6mzJ$NxO`&%h z()*NmE{Ai7s7U7)c6B)F(>zL^Z2fh`VCZ>pIyjHKfOC{89zy(7evH?txC?r-kIoO$ zKL}iBBn`)ST@ldBR60MKz%KO=e~XFW#-k?n`^%qxuIzq!+FWp_NilHw=}ZU9MbUlW zDrP#J0}osp3B7MlJyhOH<6XI98T7mIL$CL&rTRaajCi;wBVIZJdFDHdPPTgI7M;6v z)D+79!Tvb^i{?}(>ZTXsaYo$#D#PaISNcBEl?Ngo_98A7{qCp#=jQwwM*cJBbhdiu z@&Jne#xmrG*NlB^{~w>coEuzJdx1FB`Z@_#uU^wS6%Bi0U*c!}jkDYYS0#PmdHAsU zzT=>eI7xiN=fqF;nC8mXvzAHVys-=UVfkFcELW$Of~ytXNgsGT+H%=H57p1@oZlG^ zSH=6$xkme*s+|cR)3oIntJfZtNxz^q){C0`73$w{8j^p6FX~@3VPi6EzXhp&?2X3H$Z z!=6v4{c24)aP8&`J#V~yk=65>A>d+>8|G1V?Y9}@>ih`)CgC;h1IGu)LBF{k#q;nG ztw*OLRt6V^XD3^|UPJo; zTYdF{?aw)rGTB~vZF;Yn-HN!|2F$N`bQt}zi-W-BgKEfwn(zr+y_-V%KWfdlKI}kw zjF-iq1Xo-4CWF7pIlsNSkGd6`N2OXWm*>2vzF&v&^6&DdLH~@-UA)9~)UER|SX*wc zK19D}xEu7QRa6r6Z`Tr!C;_gc2BJ<(M1OEz|0#S#yE9mK%0K7#ihbM2zkN;2J8w(p zA5ml+xURnf^WwPCcLck-kNlez-HmwKk-uJ77c~oVpEX~Lsmx}iS7rAo5M=vbB#B#oY-h<3@ALfzg+qlSbd7bu8HlQu^4x3EB zCx1rkmoKAu^o}0O;D5O|<>8ti^s-O*0?VDTMJb-h=d>?9&IAH*@n+%lU^dQ4gkND7YL{0rQyM^uK@q%fSCK J@c%;w{tw?~Kji=b literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/6.npy b/MP_Data/pose1/1/6.npy new file mode 100644 index 0000000000000000000000000000000000000000..c172d6fc92f2a59b2f1dafae08b538e583779bcf GIT binary patch literal 13424 zcmeI2_kYjV`~OdDY6UH7J?#kE*wn~L#U3FMN{eH!NQf=Q5fXbuB9S0Yh*euFinKXu z6eUIoLO8LhQCr&Llk>Rp7kq#HzWwsNz3%6FKCW@DGhVNV?C#&KM_(5eO>) zI{&Z#im;r2#lO7cne$M!`efKAU-9C0isd^$Jhz{Xmlwvx{EJuYXK~_emK`^z{>8Wx zu#(1i-o&^w_6&_bpmF&s6XVX%HyGFTQZdfG|HJ!inseLg%G&QR&M!`Ye`g52ufn6U z?6|&C^{Rcc^dO9z)PLxGmuzFX+SHrI6UWndcN*7~)8U`BdVS5>nG!E9r{p|&Ve&6N z)VXE35QixLokcV3xZFkWn}@$qe#4(+T02#}hQa$SK9c_zbgEfH~5_1@R}W01vZg>KneIaMR&im<07sB<-aCzm;J1s zMZmxC)%1Q8zhU1OlQS;baTES0{Bz$ecwg6Wy<^AK$cQ96&W7xHVxRo*5PF~Gzk>0j zA$XrJ*>>5Ei+$zE|J*|Guc|&iV7Y!c=)QeQ|8;nu@Apoy@0-vUBQSoa0Or+cRRH<3 z-cvVP&OD9_ycdv!_f6-vAMIyxU|fQInps6U+NYi$h4xwGm7%{`x~5pMf(f;%P+#(n?GL@ zUpf}{vf9BFmh;{Jkl#+ffb$<7!Cue&K>8($(mq$eeWbP5)3U)?peML4o^Pe)YHt>} zid+oN!mfqE@3!I;|G(uiFHW!L3OZFzz+Rtj3@&cR##zqi&O)B%&^W43g@BcwIb1fG zj(%Yy_oL2o>cCmno;_&=E)vdyt7Q|Yo@G8z9R1IM>!>mFti5a=3(jwj0T*}8O!(cl z13Idh1b4pfHO_L!-yK|z{SEWT0^2VH&kg{0lFopegC3!lt55f#FVALzJ3BI9uiES< ze!A8bPiyyN#C&TnMSpPd=so<(55=c~*MC5HWi-XpY*@V5a^bO#;&**PI$Li~w%oZ9 zjJh$O!_YC6YDReGa6SBA%&RUii+IPweXKp-G7q{s=oj=qk5T9ce=bKUA)_)9p{be%ZXRYed`W>6whu@T;yeia9wDB9C z4pg_F=V4xS^jge|p8k~dYoyZtu+L=y@;y=)`l?12bi`k-Yf!g$<;m}}1;jr*TWz^G zvz|E%U4&;Fn+sj?w4Zkrn`58M+l};}v_oDZx)tJ=B@-#Hq@vU(fq5rb9d>^e@m@Eer#z;^ zFLOCg^L;WIoL#J{tiEd25Bj`~C#}<3KhnH!Tn;X72ZB5Ou4BIBnZGD6uWO{^a)IIx z$On7%>L@thG!A}c@v+EPmzacn`Ho|Y5T}1t@_X8g{0?hN{quY==@&f!dmSGIeKThc z<>gg@>UN?;gw;{u`H5$IebMH_%ATBTx!hF>ensWOsHX{fIL>k&-~)SgYgL-H7p5K7 zsb)pUzG6$Nv(KH`)?N(gL3w_D3w}k%5##N9yd$j_HU4+h)r7o3pQxELk(VA*4DSiI zF~r^5gR@V*;Lf$-sI#gw5?oFliaPM3T~TKp`w!yeRno|Rq2g3e_j08FgB0uBzQa->UR=>#e=o=?`xH2q68>u0e-Ynol}?C~whpbELJG z9=ZEQ>*lamokkIlih{ko5{>$)JMP%W__Mv>?0Q?`_YTo|Ur6V*d{PYD_?}*c_`OMA zrXD2y<^5sL1CvST_H=Nu@(JbJ*oXWsjVInB7F;gv1a2adz;($C#OZw2hU~XKB>PcK z;8z~|8eESngLwGhz3|K4KBT^K9YE{GbuR3c>wVm#_`uIGU;6dbO`f(Nc6@}6%Irq- z*svh>NqO0w;*q=HSC*KDzBRLJfIC0`O7YYWLi}p-W^mT?7wDMdGpRli4Tz^51b5~Z zgpT;QhIqg#@*C6`_Rh;~)IS^B)4mill+LNr?ZKVjGr(EW0o-$B+rrQ>7w@A_Gz+2n z#CxGG;_IhaU-DLbOFLhz#~P}ae1df(cMQe($SXYscXV;A7ghRm^r0#L0e(%mz_={j z4)OEzx&7R?E7@NejCh3qOR9g}CD3=yeLD|*;*vuA<@F1;?xJpW?0ceR3Uu{}y>z~B zAAxvSYH@J$_X^topZQI+I$}U7ba?sBu-5_0`y;OobY82XGp<;Dl@W@2ow{BL^>I#i zhmHyILOn&=K;ma5>c%Qp#Qle#7=n3aW2>Uh+UJHJ^bhu={7;kyH^E8BOSvS2t4W<{ zzP6skK55EwiZimZY3&OYqj-|DsQxvohFBdo@D0V^`4jbFg=0%BHvzK| z4=?zh;`urs_Iby>D|Gbfa#a8Gz1Jb0Iv!ZJ+AoXNYl~?3)!j}~-TVr{uQRJ#J?Mun zgN_*zM|BP?NO@JA4!=(Jc07gqx^Fyl;&DQ|;WKOeIrO;iv-y@wzs2y&^Sz?@gX^t? zeZ{;K|EXqp%DC8RmK$?{_Lr~*$V)!=UI?8Y)Sph(2s{h|_7;1@#yA zhhd*_cKu0pi>G^$=#W6`y3zoe-@H4KuUV8Z0)B7hqdGW05O4VweeU#ZO}xucaB-nC z^?zCc_~q*u)nV6Q>{ntc-6zbh=BTq-;yJ{|sq?giJ!|)x^j^hc-O0vu{>tRt#CIKS zZR6qJT&MaZOa_;Jd?MmZj3vJdVzCeCfQ#r)Rh!NQ^NQ{x=44Vo_>Bz2`=XUE;+Nh7 zrd!T0uOWYXz6Mv-N(Wl5+8qREFUk|oINsB8_IxAi#+&-ly!eh1;F)y4a_&Tf^R!YE zEO*`u(rFq1?o4=#^&(>Gli$_Dz;)%8bD=Zg4f198=MdkRyT7$QNBxn!3tUuNgmtY; zen5Ri-$&`5IsQaeK)ij*{!};ps4e9i;feKb+Pp;FOvO6%Uhu|9>(}(AdzWdE2F`z9 zjD23Y4S>D$DNE-_?IWvUzb_G7ef$CTa>-oWTg0UwNq>Jw#HmV-L7XOv_J29BB=VNQ zr$<5O^>>R*?>cgQUn@T+&aqOati$FLr`T21-x zFe|KInY(|=3kwhz+u8~B6e+VP{>OCR5NUKzW=|&*@8E*?MP_%@jk%2l=iv>&b*G=G z{xiM>SCvA^zMvCf^HS4ll1|4B@T=8Kx+jEwLEIx2Toj#;c-X1D;5lEkDb9OUQ3vtk zFUXVsRhoEE9&lZC1jW%j9Qm5ffo+_lT2U zrFpHjiulnHSdY#@y8rM#R5v|&1oC2z5Bcre8}XP;Q^#2yJ(|8J^5dhRqsF_TpV=Nd zFZ9k#yvL(TVSm%Z>Gu%UWE$pOUmmg+@pvl4DR<`q7v;O6{_62Hs*i6P@^a1&Lj6T8 zx}VGQ3$g$6`L$p#d)|V*Uh7MJQZ^IkKKD1^s_sL?vr-h@%yx<({)*oxYeZ-ZtO|ElLS@4p72-<)C7 z!BygMfF7jSKs!k(p8!G5T&-XNVXa?in*ZV5IX zexA+|b)pmLdw+^WUT^LoUy=S9@|FBb9h;Z@rzCV_*T&#XPNH)vu@Q0Jo$B*r&1qK0 zOr+lr^|cGw_jt&t+0c)oe&G9NfjbGAb1c_i(BIdb#Vb)CQKCEQ#-BgEWBrQ-uVAnL zSgP!2HmL@<&aQ&^<*`24-^>!PyBPn}`i!rPEVSOctM*{Muqiq%i6N%1$%2Iv1K(!L!wf_Trd;7+4u z^I`8ko4D5raJD>ig5@mA8(ex9#Qw>@Ne#E$IoyxOCtlM9>rpmnPIW#$1@j{QxrKS>1t}hNZWH>J zFWZVb^F9(fMy`jBQ@kwVl;P9B`RI<|V#_mW`VCrxivwSxPsEUW%dI_oaul5LZ&6RVquG4RWolmNv(OaGmns~UWVv|r9qFeQ zqhw{C% z5c%?;ZtD@x=1H*Ezr061<*Glh&pYE5gPSj|!d`wF6JqVnsAzCj$cuPNrRngyaXoSO z4j1ib=P$1~`xMo`qI#D874;PNj&8PGc8-I+b8cT6>{n-?Zl-KUigTA6_0QPSWIwGF zxGHiKepQFXyXLUvMJWy z^ymb874kLJxj|dhUu)VQWbYqPPaQvhD&n0q9rm(*5Y>63UrEHXa}4oY?ZM^quyNq0 zDIVc}0Cjc-Bt%)i(zOHZ&4;R_f4pI^<)X3&xHG*1xcH)JDELw8Lsqde>DLdS`=nbH zvM(-i&O4J@N^7q#H2`NLJiuk|LFgYjp8Cqkn++YOMmgLAxxYKvPgw(QGAqzMb`0sW zB>G*!G`vHf#5uND7b2viG4=*2qgQ;E6DG;wm1h_TUzgI z_aEf9?LewS`wg%+O`m0Y=E%x2?;2Wtb)h2qK_(4CJ@t409kS!9aIW7U==XNBwU`%p zVgSX{;(PLYq&;+W&D!AN$JLm3v3ox1pj-!l%YMP&W={+3t17G>=~N`{94}4wi)bCm zKA&a4-~1<`_GyNnB7HpzTo0_X%yM3GDmXi~4)F`t1^F81KXB(B!@5vWGtmE{>s!(} zSP<(d=UZYt{JecaI*E<3F8EqEoSQn&TyRsfI_8~!Y}gNe!zo|q!ARJfmjNSEa^hhv zY2L+%IQZqK?x1hg_}u#JeSE>bFCu;lhtAoD(086szp^+9 zSbJmW@A9%UhrLS~g;d(+K^}{H-7x4yS2XqoRxcC$Y9aZ`uo#Qu3f;;_hf=h8W&f3e_KOrxXbd3Cd zdvc}aq7AKU-e@K`D>RS3k0doC`)2jP#dnFAcM+KT{d6$>&de9T#row(rcl013m|@T zJpMr!6L z>7FSLZ#rbTQM7N!t*LZBX;nGIawmw^qnY~?;*mwR4ubtnI;UjORKz1H48y#LUq_MO z7LVcAbgQ}|#rh5X9DdC#`u{Jir#NVJbm4Nacj~&puMSH_JyoPHxa>HS;-55Uwbe0c z1xP2+9epd#gl>XP%bVo)`z6%Rr8Bo%?#voS`Q~qi__ZGKGwie7!C6oGJC}2PB>F)n z^d$T8Pt&a(+y4DN*q_S1hcs!E1>K7UF^{Z@EBOugrhVY;rkIqR*K~h6XPNf}#Lt`G zm;jv=f9R_{?U1kXaBxn^=f^1D@eRR6g-&tSUihpA*Z*|@mucgpEtikNzH4 zftH)3(G>ra(TK;{IRgEocGG&{ua6;q)@An;=+vNlf{5{=ydtC5TJHQ!eJ*>xLp{}@ zwu#^uM#HaDh}NkrpN9R!bf(v3|yOH`zlq!w*`SMz{uRfd!9ersU&K>qP z66cp3GzeVgyG!f0$j3z~IevMyMih@jzlWP2#x)lnCR5bsIf?^)kK?89POKh#G(JA}T{Yli(~;}PpU$#0X~`((?a_#UdJbs?SJ zGjN`&jx+JQff$*4@49~koGqUVzhYT`*z>XUcR7Bu0ql7w-FsOXf8@nn-jB6$>YCJt za#tJZI3tQTLOlP?fR6mJKDZgu%Fl8+ehKN%D+$iWUKN%zuVk_xx&-$<>HGIo%T1%s z)DNdl(K@P?te}&pFzm&VpQxYL)(uL@vDX{v|JjK%)2Xjg3x`>Iezz3t*%|t~fOF~) z-T(Xb1y?uS5s#X9wT-pcG0n(t$Rxz0OSHxQCL7(mZO0884SluePIv3ql%RWyETCxK z)7@|mDz}2r=k@6S7dfsYBdop1qXuG)V^aUQ!29X+RUh~@kg-A}Y@ z5z=4ev&hrxgwncG589(Xe9@_imdgt3D6h}~u$OHX&ahk;azS4DeLdJ4_fI$1>T zhP~O_n&Q9bj{TFh+yl-gt|opq67jIU&%pIpUYHkoCN9Fp!!Oak&DO*r9{!*|_A9fl zH1d)SIqaGLe`~D0^IZpU;a3gw$iF+g*K%|1KE*STes@*g5AnUvdC>%1E~EdC)@Wo_R+msM9c!$zkGu_h&)FSk9au}oUeF*IZ|Qtj)h?3G z)a-c6Su*{u!V+`;zxALw=x60K6!qbMCu9F{zKp`TEQ5=KJKLUNeTit#1gqnep}MK% z)nRWARY9Fu)Fz7Ot{d%R4KAQh`0rE)o}HKMyNtv>rYq4t%xj*8zN&nM`dQ_!(_$-# z@4JTjsK@j@LM5d`hxZRZY~xYkG%sRr3G}nv-eF!!4mVGmA|CVpKJ3Mxn^%ArrT%oH zqcJa{al>_%%lf(Bv-bT9uDTChYdN1m_cvbWFt~|4A8Wbt?hSpp&7AXA^>o+GQh zqy1-3d#cZ`exp6DPE784xv~fQlGxftS{qNuZD)7Gw{Qppa F{{w>GGWY-h literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/1/7.npy b/MP_Data/pose1/1/7.npy new file mode 100644 index 0000000000000000000000000000000000000000..76fad299a13fdfccacd71ef829b3875406413388 GIT binary patch literal 13424 zcmeI2`F~Hx8}`RuQA^aWbkr`f@2br-B>GT$gAg(yM60$$B4Qgvq=+qIiET*iYwT2I zT2;H&60rn_*j2<54GEsib>}a5eto|A<-E>&?sLsG_pIl965GwEYY*Q7ER0R88#pv% zNO0YDyl(qpZR)!7y2C~Xj|&bMRK96ts=XKPFYch+B^Tu;Iv(ZX z*cOyKbuv+|Yg0Lke@f*&j?wdOFHtV1=0E?q(p{^|!jGcdTv>S6>hrBR(07{5xr2Jw zJwQ1xFc0OT3YDuZ&mCK?8&x;*HJIUS;3@$8EW| zF&6DMqefh`TsPjHX|G)OylBhisy?UfyjdFo$#)fX4zd8bx`tI0P0 zp8H{Av8 zcM^)Mv-hm{Ab)$+VSVtt&|x1CKfd)6T(1@FWUtb13i{n~xrTB+;OTml-`v>_<-?cb zdA723A(0o)QoCV1JC$aYv*j#h%Po85F}+dFU$w$G){8xJzOg)DAD-vyQ&Dbee1Y+1 z{7!!g{f&`$Ud?(<<%Q>BoQo>;%h+<|?@G`298*}>`+Xaa;khGctE2qLLX0Dx6iwyw z)t=t}J` zKFf%^w;+ER?yD{5HD7@9kj=FIjC-Gm_+fWRKl%jX_04L~XQOt2v(j5rJ@TG+d}=O0 zeDy?H2ma9DW^D(5%T4G?#H-BDuh@7sdG`#<`R}Vp=agHD<*eJ=NXx~8C~%WG<^tlg z>kY*9V+!d^9*aD%eZ`Rn=lns;tgR3HeN2S11>*y26xI<3Wt8(2js6(SK|90j7R*vNb+~$3H2BMPl8`w4jq-tNWWOQ zzLv9F<-tW~KlCH>-#N{4?(IwQw}*q9^?yO1SG+{}nd8Cb?6!#4$!o!7lf&RTZS_Q} zBbs*x=Rb#{Ug5pp4fU4U34Ld91*+%5bmWtz&LW*61aS>)lqBbqF>C&qSOx~s>NHbi!37E^>1)< z?2jdu%SWxjh3jx|=fWk7Pf_Lr^yU6b#E(3|_;i~8fOzNEEO4=<7j*QB8pJz(3BTrK z6O1cSe<5^CstdI{b@?3Bd-xFI^}!+VFTw{TT5h~|lb?PEF|W-LxgP#qTj6;&xH9t3 zgS{ssKK3H%d-lbAH}$+{TFwG;!BzKh(ATlI;w^W~GjJ!m3b<1_4DB`RXk3}=11SD| z&@9yJyOI2)q|@t6oOu7<2Un;^p8vh&RO-!Kch!hxRge*Fn|~t2-E+tqP}cF)VgA_>TS5AK6X8 z`IOSwPuLDO_*b0fsrotr{pGA10?s{M(yR}&Z#VU?%R$P|n<=EfuNm}pOUg4F{S)y$ zH89@TN7Tnx< z4{mO>K|a-$cEm^K(71Xr8|$!$JVEX1G=b{(_yl?2bMBGTS_{PW#@&=)ZiNPlQ+ZR1VNI^fE!65^eWdq}5tKXCRn1LyH|Fi)M_`NX?rz(3DS zp!r*s#);z}LHRzmiTZut6pGKKeMJ6z1nuQDqQT9hYgBK!ebny`txGI76kKmFK;y08 zJj4sr5}aj?LcK~>C*HR!#oyQj|7Jl&aOpXW;vW|x|6N?D-WSWj#Vmj1nIC^g`8-B` zRN{JyKYsvR*L;U_82j)5T<@WK{W=Qylz#QL+VQ}W^3OA0WK*7#(&BBNWkb?8#i(C+ zuQ~IP|Hd@_dD?LJQBlWm-q0N`q*6LcHlQhT6NcIk<4E zjCffohQ>qad0Ll}TF$ifvKq9X>Ig~aqHC#GPn<#zWOUE%!ow%dms^!Ng>lJ?xSC=RceOxD4t^!8FCx3Di?c$ydkbkAdz^7c* zkj69X_oMYGel0;hPi512CahOa=-2uaI=bMW)ZVhQvES(;_o?0~pI}@$8*8E;%^wdi zf1H|);K%V@uo?P3*@!pOf1-SDO$del>9gQ$!hGnnXRfrr@R9H%)=i}Ts`at9)zP~+ z{HTIE=sYl2ud+JwpB7lBh> z@Rm0b&tLDPecXwSvs_n>qx{qwM|pkPb9%D%lXDb4#jsb2>X}yGY4wbJkGg_9u={SoR!428^?`-l23OrGgjlZU(*Eu=-U>b0 za5$}3?sIXkhi}LFqfhS(vHEI85%O6)o%~mSImYU+k)Kn$R?znse(KY)h-W+DhXs9y za``Me(sJ1|j&zdSVI5H2JHwBWv@h__?;@U!`%_wd{+iD1y#IOfe{sr>;2yt_ZoqbM zR(!ITNwwqE{MEZSxCH5&g_%7t1k`%kC(UX-QyCz<`Mj(OMxT~d>KnnH?Q;*(P*+L)aIIm``wmK%2`imX&MSjF@aa}BT zu6KbBm+vsn^+FFiM-@pR9M#pE9pYqFvl$ zI{L-bDTR1>%%Awr37B8J)hqZ@pLQnwX?wxhWg7RwU4X0OQ46gfbLnqtk6(Ro{{4U8 z`ov7qiQ9?xi9$n&hvo0@(+i@#dQ{PgR!6*S3qN9bH(EDJmce@B?0gFyG0KI;=cED^ zY<`@=w7;wVHNfThmgpCiMCTtF)C7J+VK?kMrgQ%Kx%x8v=%OOP>WFicHxbI9qy5Dc z>qj2Hih6a%VdO`v&v72sOaGy~g_glSs0+_rZR7R3>EyruBKTLsyJ6fqPm;lTxj=9e zQ4n0+qxVxDQ1!a?p}Uu*{<^*$@yz>M)NgKi()m^;ftv{z;YT$4jP|KRUf}w3+86ZE z!ZFqld(sZi%O9GN|3U|6S}sm41s6-&V4m_t0ce-lps2pH^xmmTD*8U~{aZY*uD3(H z99J0cLGqGBymN)dt*+V+d1hNFU*gUT8qY(2h7R|n_deFto9dsKhIsWhlkWW&AP-Jj z$3^gY<0<(b9geH>p&8aImDZW!2mDRtt|?P(yzwgzuF_|t-`U5AD9dH`HX4`Ty`=S| z&&tUjd7M31j^|nL^(c3WwuioRx;XCTfw>qbOa?Ep@y_E$q(7||@$$8h2cAvme-$~I z#>1MYm@n%5|3SYvp8iAeW^9`5}6%M;_M`N+Zu=!F}Z4wDh9+_?+Hb<=I7umt(f0U)bYF z>X)rPh*vkiLccgGR)Z_wJ>dFe7xb^1H3?ig^!{s_P6U@(^!~`&*TOu~DYda~s|`Cy z=ab){<7{Y*^DSS$8JyjFM*4duudwanck<6gr5B-J)Gv1eZM#$|qk1dn|NhkBM^78? zOrmv0O}<9!TiPz1dqtDg=ofXn8#vdchS_*oh~}GVoWI`26wM!RAD}PJx+6b~pI#0> z<=>~<`o)eI=$L+QR@r<0RUvR5bprlP^O$9bZ#(v$Em!UzFWakJ(shr$IxB`EUS>3) z@!;pWz;bbWCAj&nE%Cm~7Fli*{w98c-oJG7*d>UUTmp z@$8AqE!Rm+$WP<%;9otiu+DPjGo1VcIOqq_WNiSraiRFQVeskv8m}#Pwnc%n2lPGJ zG2JO|w+4Xg-%_Yu*XQDLlcdu%8vB&^;7Re>_bI-> z$w@X|?vDfK^>1D3CSX2_te%vgt4)!A zr$9UEckvbCmGGc(yY0|WtFK0mCjD%0=(9(e*aunR5fmTsjP~W+Nm14(FW(0GV%~e= z)6b#bolT#SpI+BV|H>t8 zkbm`}@P6n!`M-;o+Ch29sD%D911SG0JA?AS^&$2(qo9D9iL&~BDW&y zW%d6?o_SeM)XNHfhxYQS58`b+D;z{VE3Ab+f3-6*ISwdw{JweGs7Qw7N51B z4V~~|0ye$UrHtC>6p?jD1Iz`m)4CU@jjwzj-&Xs^!tUp6EMcsYj)7OVVbq3Ja1|x zt&THzAmW|JF5srz46G-nKaGErIS6@{XVxr5{8vp#zuz7B;Unq0jnkjTv$=8&+=PYA zwDDqKCf0wIbDi2Xt2WL*s?U;2`P+tcHSRc)=j5#`z_LEe{gV-)EDPleyu&?MT_zje{eC*4{}#0aPIF0uD>lk z#p>%VeJH-GFF0#nV4CITQULKNdjA%3&_wtNSP1U)q5qdqi`|1Pmp;8Q9-LiY(!8h@ zeAvV0r)d5<8B62eIlBz!5b@p@I%-1=@|o;4*y^xxlpocm1I`0tRx7 zzp6M6>o9ZYXqV}_<)V!F_RJQhbqWm`5i4W(atJM&M?FfIcsiHN@(uH#9HQ@AGM1ue>|Ma_8GO zq;tU)`>7rp2|xOmA>`BT6gY1}zc=x`{{w>K{mb+ zIApp0jV$NO^Yh~$4FAGwJN3(_J`_K99*yT9*H~Mx)2I{GTkt&Qi;B5&(CVn?)Q@u4 zY|{Dl$U^A9X$2iNgF{FBw04En5iVt*Bbrvgdc{?>L>n(EJwv>B6ansR-%b77e=g!# zoh<0+q#1iq@3&u*j%Rz!cRl_F;$`AQaI<_3?bi!Jl59Nt=_hK}s#bUGy$Sp$0`=~G zO6zLF=QK|}*WkP@4b5LxbsXwdF9y+hCSd~k(QnaS-nka`Dc$Tm^p)>%aHmfAQmfB< ztfqPg)Av|0)ssgHQwXkN6qo2__8ey*m&0d zDe3RoOz~@~(K=R~#skl3g!4K3YTnf3ym0lp3*uGMY??2{9?<^iLg#tY_c8iKOni!c zK_0kKMr5WkPL^$MR-@Gt(!!gzMp zKS;7VB8blUa&3S3*XskI!!DJCzRZ4x`OY)0<24U(i02pzoZZ z?~1ZQSW_F%C+q~*o4V3DD)rh3k323X_CR~(o+xVXAb-3sJ74EuzN;K>%3FF)DEusc z3$6oPk!R(0e1_FgAM@Wkme!~7(`6^l|H6mPKkDRD@|oz?$Lg4RbPkt&z6RH?rYAtB zcN+9fR$=If9Sa89c;`S*_~$cYXx$sxxUc2%I-LXMnz``lc>Bj%E*{Xj>MSUTbxFir ziw58H33SZIKWH4b?t*idC~m;jSNG5_vc;D(J*>|IG2o)uYm9R~{>NdKtI)aNvN-*J zlW1}$*mChShxAw7p?SgHMq19Je%9$=&q8j&JX$Lx``vHU0e2JoT%)ZoJ;k=#Tohz!}#Cvmg_`1zo~KSXkPT$mSDLou>kREZy4I^Y~8R2 z@tdjN&HPxJUn7dG0Z*a*T|WF1T(o<*6#T^|_%t<+fwN6zu)nZ}L%@09GH@0D8ta(a zNbggs`~Yy%?J~}3vSum7tCe36zq2>e>Wiy=;FI^D-`SnkuMeYM7g~RKrvo(pn|H!G zrat)sIx=ep+Qrv?iFwCQ(7ZDvs2_DoGo75LZxX3qwmlI#I=j*u%XPhm(9v%BzZX|L zyAts$XrJY?|D$@l&5N>}r_+0i^Z9OY+4V5=c}aRN(;4aD=6>Qfec!_Knd|oa1JAF|H@}?MdCzsOx#ynsoKNPr@6xVAa5fgfeyI3;=!iby z6&vx2P5L&d=+7(m9U49|JY>j!hK7G1>iFj&gGPjU_=x@?!$Ljxm1@?jSIfV$KOfKk zuYdU%WA@y~*8@FQRrLK|?kajVxt`*=%I8@R+`YZh5#?s$p!2wY;eE}Ovv1#`TxV^d z@+%WiZXV@BxgAX9;=p^9>xauxu3mhEa^LkMVM1OV~(TTKKvWyGJwiO(S*O@ zJFxXlJim3tN%y>d{UJYI%@DU7nhiQVIM+E>&eEPxensXT_nZ#6bRX9SB@ViB71s{! zwzqkz<6_sChwjRg-le*7-r~+Nch7c)-NW_uPfy*|T=j=P|M~C{cW`o87&c zejoL#d^73!Hp4Ebc(@%^GY#eEJDkCD6=U(dW^FM3#O15Wj*DWs==pMA;CZt!F2g-9 zEAGW}hBttZ@X3egMY&3-Ulc9B%RSEy`Q36?ohO0nPinEuJumic{vPFxUtGl1-wW+m zjhATX8-CQ&U4_p9^qagt>7Bcmi^4+Pl@B}7+Feaxi%fTAWin7MZq4it{>Hl@bT#(k zdHW(Thw#XB%*xA-t6SNMLbvW6o>#{@qMYqMhW6NH4_`L(=)@0y;(1ju6Xk~8q4C=G z&wTEA`O$u=|NcYr7gx_Z&KiZ}$Mwg8cwUSil~Z`INu0RNaocuqX?GQ}H~H;|MmZ1P zwLitfW#;(8uAI-gOXGW8BgAdShAl>UDKE?mTVO8oXE%5!IL^Pm2E7O3 z*$i$2zQR1TReo6x{kwedVfW5r{^=FItD$fEhU%U85A^!mpjFVfJ^-#>{c=9gQy)uR zHOFzgb|>ZokDmdqMwSnQe*PA!x1HBHr`Pe1q8&G-ekER_P`cyd!Mqs9*_?QAaj-q+ zm1#S>o-3CHC=d4j668Uyoge4)qVG-US>{d3&!v3S-nAErr{qC?WtqKmo!BSi z0vBa|0@saikbcKP(udrc2YvQi;A-v*aJzNt0>}CAtHf7UN4s^K(D~qFj}z}Uj(EQU zQyn)a-hzvD&(L4|WTTaitA<;_?a1utFImb5^TYH`qH&t-IK~q%zAQe_qh}dou^!uw z0U7RIWbZl3`N&@zgR{~t!0q%6;~Y0TULy`QiMTHQ65QsF2bX`HM}O%%(Sw{`pZx_s zI_ovKy^z@3anZOc`R@_vN5gtYLtl0nxJYgfZimOfU-bN&{LA$M=XFa#FA8l3H@~g~ z7u60Z=fnH=09UsLAbx$UPq5>%-XZw&Q+~M0kQ$WF^GnGms|(_kg`;}F=k#>sO&9lt z51UmQc~jNiqyJRFd(iX$EFBW)@wdlDz}MvLihj{8O2#@LyM875MUJRW<1PB%c*n)d zHPpYp&uF~84O`^63~fvOn{yVp4cSHW^z*{tX8RN3J&t00+SmO^f5QiH>B!>nVV~3i z=Y^Vs^DQ(ERpu&ce_AoLTO24b!_~{aO@p4jolon)wowU)^DvD=)BYOfwTPdw+Hu~i z4dppD7xh=KmJ^|`^bh>iRY~hZZyn>f-dhCzCVVmZpX{{Mabt3TtCR-ds%93o_rW6g z+x7jxW!t&aoL*Ho6lb2Ch=(t$iS@)3@uqtJQw!^WX}t{j=Sxpw z*>)9NzMeq*+CcQ9P9KK$vW0Ij-({=xXcs3h;6?tKv`>oHjj-;qDs$jt?|*^z%6@H; zH^XDdf7J%~sOt-`KFevv!IfB<>e^!;l^Fv6fKO4ctWXVl_FLtwy`FN_HW+$+z8LbX zvb-ldz5b~n^txR#>Q&8WW8L6y!_XcT@+IXzu|>42N7nu@U*6Ha%T@A^l~S+{i-7ZplU11wJ@@aAev}8Eftw>s zz}e$Nl!qcWs9i0Fft##7$iK)nisBix2K~$X_Sdex>|T9vv#1XA+Anl2cwiW~l^k4j z%bW*ZH-X~3Q3zaSYdha@KJddhsWBP(v;GZdIly@0)Iizev2V}sUG0GVMWpxTZ#D9`wUw5^6Zas@mSReTs{lKdd2SV!Ti`CE3%!-60NevOFii)H7hs?&lW)IG%JRGe@KI0yacY1!G)(w969O4vv zUjE>?+BgYu@=e#!Ui)ngj32vo2I4ec0f=8EwCok=>iy*tis!`*{PWR1 zqHeE;zfFBW`_~nPc;xBt5x?wsqO;Q*-v)?BwmV7Vd3xpLjA654o_}GqDes(_6yASGB2@$xOQX!E}uYH9&y@59P?dN$g|XO@$p{D|JPd)KmT(Qt^c!Vebik`AkU^i=ZVgr&B{*x zg^wT)yw3=XLtUW>I8RC=J|z>}dU*8T(S(ANrL{P54#;+`dKK|E~0fT7M`-2Vh| z@;CIHosl@$#VKtq`0JOkxY|4-9PvE(19=qvzXF#RUtphQ(d(&S3YST9I=x~$#TiWd zk$HLzdT~y5asFn`PmKRp*8|u3j!C|6y;bznV*Dp>dAu zzK_se^ZEj~_%RaP)H_b&DJ(zYVZlAoUQwh5#)--o2)&&+WtEGE9nB!0`iao1{yN4-TY}D)vp_e z_#bWo*Tw%rJi0=O$aX+raTVU(yE$%`?L(gR?VOY!pN8?SUU`+?YxI}h5SM*%bDq=lPeR~tZcYIg zJ~L6T3g|}lc0Nlyf38JN&!XBpGF5aLc_E~eSEI9KHqr9E&{b7Bka{?dU2R`h6 zUz&G^pHTcKyHh-cTjKn~pIC5vrX{$U@durYZpKkNy^f)MJWYb@-IQNBx**zXmMw@v zyQwn>AQqX zoQnNjjBAW`sx*su*o`lP13h{j9}Is}?-~59S*Dzi`0N4v*|39n&feHg=iz?;KyQ;P zQom=rwcP1>r6u4xT~quGFJs(_z30GL?h)W3bQCz-Nc#vMRSWBq;C z@9Y4|!+;~iPh6mWJRd>hc54svpFrbZ7hX!|;UC*m{C%51Z<_ru8SRSM2(B)5!urW4 zegVCDw-B5+oK5Y0QWWP6_WUDoalJkC_K(EbXm9_K#9Nj{KiXIMFiw;?f#=2TMc``3 zF~liPwm_V^Ne4WqXZ3`SFtk1h-?hkt$~=W}&T=w}XEg1@Y+Wv_OXj!)XA93$oMB&2 zK)bG$B0h2j#-Z-=TMYQ`hjA~fzoPNhbJf^DPk*T$8}Yn~-cI^`;bYLQntr%f3+elV ztaoCe)5|H%;ctI!jPYar4q;rG;nmPCTYnbD17A1^<6H&M`e16$p!Mx;YwYi;BE2uD zHK&Q6_-?7Im&Hznk7$+)oNXV8_j;R+_A_%vVtkrznc+^aJ1NAYv%OAt@u^Y?IH#G? zK;DaTlBeZEyO%As(&6{E`ov)`~p1czJ!Q&~OdGvi( z)!8z@aXr9?@{_AO#Xssc#h*L}T;!wQ2kn7%$eW(g58Rad(B4i5*CNh22L7IN67ui) zJ#7s9_f?^KPZh^JX5~j=9E$$Msa@qSfvd#%b5mSKQ?M7_IDk#i2N_ocRca5Rh08#fByh3?^Z^=_H377j@x(bP%rD+fZ}h_d@1y+ z$C1y~eW+KKeusUB71Q7%=Q!v^MLrbzMv3Gfc%9abY|{pU`yVEsS0_{5z3Nsh4*W%T z)NA5{p;w;_~#qJW%xqO7d~b%IQKtCeDjqbps)KC@zt-92YWa_@~;L= z17}lfBcJ@>^HHu|QJ?0Ws@4Xat&0qDKK4>L>GypCZnFCig8qwd$iEcLBe^3Y4)vaI z1#ZL}ihs^OSm$|-O5p173vgC&FZ#vS%>}N%d<(7$ox{1&d|C*cEgwPq|J(e~t4kbQ zeo+RTebyi2hpqSw+%~>IafVc%>*6uHe8E-SvEVZOG|pG5U}54BjllKP)>Q96YM1Uv z9W174fYTeFVc@JT%@?_9Nk{O^4|#|g zi1}qcjY1w&zdq3OCrxPHnEraTv zR0Hdzns{ld_#cdp#@ z{~TQR7=n3in`ZpzI2)T2@d!@e_w*XSWsdXoVH9VV{n%&Ow7Aud>kj_#QK=`epPKEJ z5T`xg9C|hX1=dgf<~`M8u3i~*fczr|5+62pj^q5hNN~3C6L9{= z+bM`MvL*3phY_cmm3sp8cb?)LC}J$y%c>uZN%8oY=F6zw_IqgGELVBG(@Wn_a9i&x z^1!ZkOMw3>IuF>Q_t0K8_`$%(g#lgSGT6oc=Ju(;`G9Y z)^oO(ekWnMlhBW5WKPP@#8T9*YjfgVoO<|&bJsVMQLjB2+~4__>CxmLeFyDT9g?w6 ziItb&!;TnmvEgQ%({sNh;(gA7^VLBM9B0pI-!X0IcSsg6t|R>G%z{7fSB2tPPzU2j z$CiMPxoECBoh%m^0sk;MC-B|${}gIa1I$yi{~+`__%8BkGRh=4z4E7a@jk~85Bnx3 z&iTA|C+KB|O%!MR0Q94+{9!#g9S<({lz^U9r}qobzD48NuMFZ8f_(I6-q72l+2JFe z(Roh?XF{*cH^i50MZNaWX>hY+`F!MIz;$r-L^4-}m6AZb|s-sBKFeXZt50 zZ#r*d=w+`7$UZfE8_V_I93+&!)`0HiUkY|z5Yq|3mo3>N@mo2zlISTDkN2`G|@5$7U)us({ z^|G6#5Wh`+MB~{jYOC`xL+X;geP_fk#`mJUJuL$+@?~MZ>l!|E{!t;|HXs`Qto!!a z&PO+y4uA38XpAdetpMhc&CvjQQ@zf!z^I9hU3@+Y< zO?C0>TAiuhuJ4JLtpYt?N&gQj+Xo>J_Er+k4#b}Kv{4*qYUviBXRyWO?!Z|uJoRzCYSom`RJ?<>twE0 z6z7@X1m`0v(C^5e|3k(2WV5qEoZhm2C(OZ;sz^3N;N`-=*p?}EC2edY9ur@=?Prr)QePXU}y_^O|&-hhvgAF(l8SfEF* z^V55Q+R>55bK>dIj+^8HG=5G$!n`o0m&Z8HYp0Tb=M(VZvrUBK>U}lJf6%9xFLIwR ztsCoVkbXo>8lT={#;17n%v*xndy{Cry>xlB<0kO|xXw@iw`RKKS?K&l&K<NTBa!{3zm0~aY1sb5ZB09VHf zk-pXmj9YpCW8^_Lt47@GIPFIj>QjIDMuPL>J(jw5@!fQOV}5ZM|E#NTg5%74Dd|Us zqP=oVk!_Bf)GFX+ODx8%ZJNFUyhRq`;o0ciD4NACc3eK(N&FAu*2ZF-h$3_jl--xW zM|w{|{Q9AQUPSjKzM&+>vz_uOwRiW2{}V{s9E~_bCE~GBqY)>o-ETMI={f{@R^%e` z&;DG8d1PDCdTVnmrFQ*VpXS{udf${$L!h@~{B??pe;=KHWUW+imH(p^j`N&!u2v=I zkpJc#%N$otyQ5x{NZ%V-_Ir~Z7a!hpd0h*=NZ$#6{h$cNnX?e)m)ZY(G5mc?QhW0* zK)=|b)#$yTV-9fJI)(bHO^F`^J^rQ?1DD1B0_W4qNymA8n%Bm!3Ambm;U~vscbXSG ZFbCOVSo&|u434Hz+Qa5f(oG+@l&?9bIb8#b(8%cB;b z#{Xac6=00dnxEJkCb81&(mfb=7 zJ_G?5A^_{8_;^ zx6%GbH;i8-7R?pm@UL_-b=ezAU@&16`j%^n+C_iR>6U1-kJwvEDpX_2TVAv>$jt@ddo5_QZ@QmYdms{%xOpx6dj2 zzB9NH#?9N_yomSCs26y?$hu_PjYr{g_}sF?GyBwie|>GAV$_Qa+s<^I)8LmL;e8g> zI?H~Ro?$m_JD;vrql8{`l_1Uo98MQlH{kTj6~c(~;&U zI3DluR~6yIV)NmB)u939f9T@_@O@kqd3C~e(fi$Y#inHY$}fWl+IE?8?Ye!M%mOri zzIu)QEMmv?u}@X|5ax|PTlWdN8pi_B?%uDZeaa)fZrCSZ{g~P_G9`3X8+qaR;3(cV zmAmBsd6)a&_hrID6j=c~^CB zE`d+zQ{pcoXg+p$EVbN3{!KjMDY*1bS!OvO_k{S+8W^{nH6ME3FdbaAp9F4}v3byU z$b)?HGS6tfW(2IWT%0{f`p}Qy>}9t&aPNhPTlrqQ;*+hDw?4<<`O5^?pM}F z{n8zr&6tFKd1_!!@O&5H?_A~7e^3PSsg^AxpVxti-?)_QgE&u3r1ep-Hhi3bQOKJ~ z`Wy4-H246$?v;Ctj~$oWc=Bz~5BYcg{c(}?kr`WPUb=a}Px!To1$Ws2Zd&|J{e=CF z{UzUY0cWle;Ce;b7^`P5z9wGv74eMv(6gvfil#4Va{ z^(=|%hBN9D)svH*QBQac7xb$lJy8ev@ovb!T1h_U^CWQfH;=GBytbry>>G?aZHl@q z^s)Y-H4qPrNrT>rzl(L^luIE0e9LIPMg1|v`k1&$;B59%%DnpY1&{j_2m ztiPV!n#TLX2g>u?DyTo|#SC!%ZynTIGwv1Y5AS@Q`Yo^mJ}Q1D;x}JEqJG^K`Im09 zz{VrlAj}I}`jPhg>4D*hvrb|7>(1{e|3$`8zu(S-kJ#*o@tWSXkT>o(jd-gK`)j4V+E78V;Yf+i6~Yh(lgg+(xVu(|j=Ht;a2JUcU{_HCDJL@tWn}C%+0o zK23jr@|nVsXSV$b>M)yngT|X@G37IlFXmC7`2f!L#1Ma0cZtm>>-HF2Egb`{J1#~3 zor_bc-$Cn;XI&{mTfK;C25ySfhh7y+hY#N}7F<=NIE`q9eJZ}%M*5!%K+g*#g6oSj zNndX!@+W`nPW^sdO?+r=aJ@en<7Ijy`Fy5xM~pL6Hv+bTvmx^-9@kRP%hNeL{6`ws zyoD6c`-bGx`X}NYE+Bp}sUEmI7fL=6wV`)Pxr6gd+ree!g>>E}mIN2gpM$fsQ_#yk zRG;NoH_W3+Z3w-o_W7orf2Zes}N_0xHph&ra@-+`OyE2$3r(--;Y|F)p{8`?7s!(FPwj9nr9)KKhq z9sCA*6_*G8%70Nf{0E-`XO&uCvT=xxe~q=A4cHG~?p_b)qnLkmg5}07FY${-kp~{_ zQr*6%HeY~`&VM1pewOuHx?8?e%wBW=7hg1^ z^-$#`_7|Jbo#u7$8tQlCt`PJS-3swIJz~Li5wD51Uz2wixJu0cS7E8MEaxZa{=G87>r+VZ~ z@n0w>eX{#yiNz2PJM^5+mqM|Ftq*g52p<#s6nf{Yqqy&x{Qsd}cB3rTm0lUO(CT%r zKd@g^&2K24*bkenzxdLX;<+{k-0|?AWc6msLyCWNBK&pUrl@}14a4uv3owdqtB zt9MeVj;V6zsNZSB;^8yN7yFj!KIor4Igftj&{X*Iy7Oq>-|pyR<8jW@c_$M)!bg?( z0^@SN8A^Hhc^aPjh}&eV=ga)?*_m`7Pk#GB6!?Rmso%Y$5Wl+cB-V0qj_Qm4!uyTYpo9?k&7B?R(jv?I;_kEbR>+9ZBm~CA=Mrc%sfx zJ}Y#h@m73>b5<@`PwQl4$;(#94z@!)YS?aYKHh=eynopp{@du@E^A%HxXgKX>|gOF z7CN41Cykfq?+tzML3;msEb)CO+uMHRvRI7E*?$4^!oA9kwA^^o??z_-m*iipq z=}Z0r>7*a`_jt?ol`7zB*g4|onoqUdO#X|;d-gBl$0ESh%@Z^){VKp;ZR$zm?OPn{ z#M##wdX{;7y^Tk-NF)8W!_Yg2!-EmesmGL`qwi^*xaV1pc-9mG7oJhr7ktk*;Eqpw zaFaV7>(+E#5o7gy$#QV#c{S+up)o5hcgp4DKas}k1QnZYxoUO|@u-+5cdidBl zlYA*ZcXQTPzpUX_&%C~;e(!IhJlzvsO}N#o!+X%5nRWtCX3q3NJkyRL&%BBo#;d*w zjP?Rz__Gx=z?pu4e$|ow;JoYaw2oT$!?`Rscc*yDm!|ym z*o6EuRSR6lQN7_;mSKOXZ*uMl^#+p9nsjhe?LFnIW*_3s_u@X_l&1R0uK0nAy`E7v zPSGTe#`)wt#wSK5L(dZFyc2^fV7z9|{xGZ8Z97q%G2N+djFePQqG*`I z_3Bb4{KX(Qa29;6IDEdN`;Ydc`1GB0f8Wx0FP+4D>TY4gBS+Kk8zR0E=3Q4UwZ`h5c5(1gi{dH%4xg}YmG?FBA2}M_ z_(p;AZcRzQqdwLDWoI#8qT(fRHmMcmukX*4hpLx}SN#L=NGB5OR%{Lg=UMlNyIjQm z#~kj4_w_0t;;Z=_8>cL}3tYbHfqiP$E{0wlUrqc6`aOd^jKqDz408oHk9tDSy56FE z4x0$B?pDV<%4%M8zCS*X{zR#D;G&p2zOTtkwBOmxj(CsfS_2>D6hQpC#uns(AN`2+ z!*1qx&y$I`p zXRO6KH=BoIT;d4*uBg3+t+oDYiYJZt(C?^wY((5D%lT%ySL?bAT$hf<_j-2x7Wx(D zC#+A|=5esqvrUsJo{*2}Ha?a+n$GL4xnp>ihqHt=$zlXewsx*br0!%U*lX;0ms0l84k{$*TnZ_p6dm; z+UEi8l=>{Kzbtc`*5%7Iiu0=5HXEm2PjycoDuDGY!Y^Pyvacp#URbHkq~AG&=A{gM zf8;yEFfXF{Jj{z;mjb={?mDEMcBk*5>=S+eWt~odvtQ}&EA06X=-2r?kG|jW zi|~=n9+1z-!MF#qzNy3~lz`rNoku)QZ>qN{a0%7Di3j`IahW+Kpx0}UfXi-Qb+>uo zZyJD$?=r#F_;!;lR|~e$dKlUgoVSe}W4Q^O1+D_9-a0iphrq|b%srp%c2UEd@>8#N ztmSNn>wU}hiW%_H-lya3XO&zDdS2)W8n@U}^Z9k*5%kv#7JST=r-KJ*)T` zoVo2=Xu0Tg6r8^qO#5PM+a>Txn+-0WjRBW|?-syk=o@h7U>LY|zq8zOJ*ouy6;X$X zM}Cie;pA=(uD)o3_}QL4>#W{fn+qTPET?Xd4IOGZ3vi?OyZIwdS*7S&=u?*vpKuRc zyIn@!gdPem^Be^i-+bDHc;rbMS4d%6SKs!S4F7wc;HF(6>|=iOFxH`nC=V|4Uj|q5 z?vj-3aGd->q;Kg5&b;&BJW_t);6lfc&(@cypDMit`BbF8Bk0coIH%0Ee&8x^7WCS6 z7WAwE&98WnbQ|MrJ$a&i${(7L|G(1_KYvyf`_8oTBmVw(IxmX<0WLiHBM;(uY2@Fz zS_$*chjk+Tf>v0!>XH8t>#yrYfa_Kg{w8=K#%1!-xLD{H;Ot1*IW`aCNC(P)um8}m zzUQ{m`tVrFrzrFa{(N*^?05e9U-+wPL8!yx#p3x^ubO=iAIC+5%L%nsSkB}?@{gK* z8NRpDcG#y(r~n_+@GBH2f8^&saK6hTtH5YsAb!PnuCm-zp8-A3`jz^9P&+)u@-=ISe?1m@y|&I6=u0Jnvj$hG zZsd73+;Z0YIQ8p);1WJB3dFpaH@%Th)uc7_qWZTR(4MsqdfBi6@+|T=m>2!yIOyeu zQ|MQG7?EK0qR>=ual8w~f8Tezr>3T4`zY_6^(p>A9>gzx$iH?LLT_GFqj`+#Fy8hn2hAd%aQeHO{JmTU>!W*7 z{nVF=La$c*KFsR*wqDRXxfT3*n~f{2UJj>vDC6ip%wr$noE5|BKrcd{Ax`D)OY>5w z5XDm@=kG6`L-2cxY)9t;J2A>Zf1xjM57D_ipjZ9NfwS5Q>&KZ%-1yM<6n3Zk5*v@| zN9TnZPQP1{QBiU=vkd_i7)sRYW6725m_Da=z86|S(y==3nd(Hs-a*P}4do`E`exfDC^W`aub7kms%USa*-1k)A zO^jEJy@>Nmo?nB0ogI7W{K_S_SUtZRNb&T^Kpymz$OQQBrE^D>x{vWXL344giJkuF zSA}LF9@noS=yyD`Wz|9JqbgQ}p4S?LIA!QRsAIeijmuOSPV4Y=SzoJn z##e<8KR6KaJDuvUvz(tE4IjsE1LBw4zg}wlRsLO}cUm04zA%LrAArws+FvR(0zPJ7 z>JsqiuH+Ndi1x+z*H^*keiiEXX$h)h?xPEyDJ}RWr zFV^48=nT$sH^P2r9SbF*-=ulO-KQhZ;@$1tmdhLS5RX2e^SgV$1k9spK=oEPDo*=7 z@0l1Ir)f76dge79{W=3v!^ojvicEx4--eaOn}dJI>*(4M&Kr> zEA}a$cpiFZ&7YL#-Hj8hUR9<0gB*Ak@#qf~@%y&QqWLm~cYw2uIhaQo)CfKzhW?+7 z9?}SUag4rSsOx)>XZ9)pamv+Qpf|~`nMb83psk1w4Is?BEFFEJ-^K005}{ZqZnOZsg|bS}()NpW7BP3!hb zaJ=nTZ>IkT$k|PBc5fQS#cqEOy_!1%^Q9NO8DaZ1ojKw+<>>FHEOzxC>%&UZ{g8j% z1MxeLLXkJ;brtxCAKy`3I{ZC;|4}VRkbf=(f0l9{=Y{IKfbuqX46Unqo_no7kM<^g z=StW|qWEvK5Koz$d&}YW;5>0I>YEzZo%92j6F+wnzi;rFeZZaRuZZUlhMsSs`-2v~ z$b-{6ImG(wK)NT$35B3%Yp(iP&JyUHl^Gvz+4yA1SU3CBt}CeDN4LRE+n?H6?u
    K8Cj8}%t!FUC8S!21mTLgOkvJLWPuEkDBvAjV6^65{%|MPZZXIZ@t zrG3ZJD$)8Wy?vqO%6kCmH`4bkQ90u~>m%a*X&#fCARetl6Re(Be}30KMZI@epE~{d z0IOFm#=u9Hk3xRLky*_xXZ!MlI~!Nf{N_Eo)N)ap?y>x@VyH{<;$O(Wh@|@--*K9J zTz!?*^Ig}-|I8EQS+9FC*C(4hH8+BrJGqb_?%8y>cZeC?U&%J6Q9ur$&x%FpTXn*OY5#Ta?Ebd)0oz4*!OyA3#@ABe& zm(A$=h3?r4@#t=`s8=GfHsVyNu9Tm|kyKCo#)E5q2YMc{ez)yc=6{EHod1r4vl=Yi za&>_2SIjL0=e229In>7QjHdnQEFOTonS_nemUBb*Ve=psT>f+ibw-qtScs9>sZnY2Dx6FNuK75Y9d+nvF@h=-XJ=h1x7OJ5J%$ISSW7#FWw1zcSF z3i;%Hy}-?&oZn&I?OtWaW&Wi5o2f#-gQ<~i5-itavt_}7B_~E-o6ZarRe{& ziMKr{o?U}TAJk5#WcxTz=pL(sPlG$VTd%R)WVVCeT$n@pB~RllmtXb=XSa*eez{m4 zby6Iq@45WtRp@nvO!%wHZq)C9FQM1Ec8v8=Z_0o>H7R#UepQd$#*FM>WO0wGOn}l4>jNI_uV}prSZX5Jka81rlXKjvs!1}vwXNjruZLR9H zco_fx{VT|_|Eg5E?Paeq9+&M^lyvT9WMB2QtY`M#^xThjle_5!v=91x+qUz#oc77p z?pV&h?L_TY-lN^jp>}?A0@~GsAZmZ`7VRqMdG;dc7W!GU7wx9`2+~ia=f!`o4BBgz zylAh^CO^{8X_xy#(5_-eqn%YBPR}o==XL)t?%L?U}L znHazG=J;Q>ozJIsr(u5b-+%2jYv(lReGBdTa{Q~!;lFq?^*VH9xUubOSI+Y#DnGDX zZ)|lB*Y+p=wC%j&e~7Ox-yMFb89$<3)Sk5s?ZKa^{pEs3_BoUG<#RmmR_35>mj#}{ zo`2u=u;osN0%#ZaA6~KT?DFyZ;O%=ou~&KQ&TCwE48!#*Rwui9>mb7m$sd`#Nc^n*v`k+ z&fN3B^G@DK@~_}3#7*b_^}KE8zqX*~U-WrlpO@ZE(XSIx5YMZ)v^UmHcJ;V`c2*F1 z>71>XX}NxSjq<2QW%$n@xZ`=Yuq)yqM<2%c*#NfAK5u%}_qNYD56)s7y5lyqJKJY% z0Iy%RwY{qQ7inJH`)ApElYchmN9S5o!``#kkFVl-!3XUu-)H}fZ0yuqQNnUPW+%=2 z$$#<)d*8ed@ z;aQosUGo8W-b@Xo_9cfiZ9C6cm~PwIr%g1kYb)my*|&P#KP#+%JYT;1X!q;{J=5lU zw2R=bCv7_`8g~)xsRI#bIjJj=nO-a(R6?IGc6}oaea?|5ZPKaMQ6o#;tlhCHqa}r#|Zs&QlMD zSsm7{2kd3J5121r=E_p|)1nmd0ERqLSJRU%7cOq_+qv)^;-hMNrg&LC;RAHp_!g*J zdiwz%Ywx_@4ep%i56=2{4zrw}n@oP3^aJNdTMvYO@yf)1awna~<%U{)y{|Un&kMPN zJIU8tLI2%ivVXUf<}u(}sO9>zA%0{rxSTsR81|(caQ*rSxTv~)yyfavLvVSu0P;lt z5i{I!5qF*9UULQdHD9!w;FZmJg+TaY&bi~NcU|pi?PceR)bHLz%ENkj##nnMzChgc zj1kaLjrK3KTtw6-{XWgXbyBHF%eDEJbbcI$d2v>+oo4m<_!5{G(ZiGSYWZ5MI}_;v zt{*(1eq=E6O@;gk|C~8^hBM)`V-!z^QZt%;A--5i7^>>ht zKl!VQ4Vr0n9Jgk~6AHjzXU@P8mTOiS{x~;Q!hg~4(Q?aWUCJvR^bzY?UTnY8a+Wlg z;@~$0^I{f-QoRi84}E@a6z#(YgAfOGI}BV6Uk!cZpPp!Sl=m2LQ>`tyzT=PhIMb@a zKej9iJlk|6{7IuapemPzKjvT&_$f}0BKr;-k>{fCyIHVrSs2{e`vF`oUIKq)w`COH zDfiELWsA$#Cf;7v@M!p>C%aL;y$YUdb;O0T;OwhE!JP$vBLDUA{NS>}B#OuGc7v_G z$~**p8BqgVuMb|2evWS-`@*@fPMvqDRQJ+p9{J0f;Nn3fxbp7?dzD4{PKQERkItmg z;CiMH^vxdkK-;hGegOAu?R1RSNWY1e^F0$`&u3-P{LX9)eG&Tv@sWOOV9#BOB7fMv z>)?7tF>vR{_p#6)F%n#C%zf65M_np|b*g`Eihi9VYtLIQqsEWLHGCcH+2&x1b94yu zP?w;%$bO9wPqpgIU~6wG{f@Xf?t9TMo1GGCxsEAE>&0gU+SPvAkMzhZ6o+y*!P%sU zxQuLjF>xjF4aF!PhsL2kn_ZgX5Wx{=IsFFgomD>Irt~-($AWF6t&XZLNvD4VxGFtW zTF$oT)RWp>!1=NoL6*z87hvx^*o-*y&uf0S-29gT&c5TY*DjMIEO!AsZ zSDs72#i+HBmb2J}#7~hwPVoY;clxylm-UO${IUnImu=tBIjd75)q&7;o4jm%9(95L zvRZjsFRo3J;g4$~ba=fUL%VYukz-@e!qov%kK9y?EXk`-^j^E&Ne++C$&Gn}mFGLd(&(7RH~kemIR+h9k}m zy~&@xov{zf#C|q>io;IR4*GRg(LTfTHBUgl`KYe3LnqMA_qr~% zTvVZRm8lv@@rkUs0`@)P5lWB#rCR_eJKv@N8l>1 ze?1iT_rF8@c_pedy5WbUjBI=E(G+&3xQ74c-kfmDS;_{A!_#3D=iWZ?R)-y!3cux` zCzKC=JnL-jO@68myw|@J=l<<+u8>m#$d8}b!hfeu<4|iaN0g!a)U#CgI@OM|`l8)+ z*gK^tuBKP6P;j?A;A#o&|I8~B_Hxl8@@Jn_B&#+u3x}iU3Vky#znB2+gn>ClvFVB32c@$+vu@xJ9K#YuB+is=RU9(nO9)%Y{=IN zd}LSTiEi>1^CEjai-%4Gtvk_Y4)jd)F6^^2wYdUE7o1*OODNz0`mSN7%%^|RcFifR|ml5f2FA&CY+vcb;Q}6_uR`d z)ZRAD7y3nk>A!6U z9bNAM?c<{-f$K4?!OiTuuvg9ez|G7?)bGYwQ>_lqssJulXJC9LU?+4`#n+^Jn&#Kp z^(4TKSG3DKWS8j>=DVx7S{^$Yp zJwzu^U1ASYLSa87=ex>;WAI0>@g)A@6Zz?O5nP7rNwA;w0{70edgOmvpzzA>S6!${ z{Z8sZ>$G=C%$K@Ebx91JLOL%i_O?3uRXpxZH(%I`Q;ldIm%SsqH#Cpt-7(6aem>xi z>oVlClNIV~b-3q0 z@1!`$ep4ua{AeGMEC%yz!iF@!c#pKlz4PHq%sbz5biU=f7S%D{XC2w6jt>PtaSe8Q z^CDc;>Q&1uHw90@57V3WTlP75LWUjJb2@LEACi#|eC&Pr?_AkOex6u_`X*-XR@Po$ zoCj{IUkB$ODlN3!X_2#kIpwJyz8tg6a&hMuvac|o>iMpqap3O%z#sOeGdK%KMEr$I z4DsFcJBH>@=sZ(|zDt{>6JW24FT^~`W-hQ-L+Sex8~he|uF|$4F3h~bx)9A)Pxi8Y zHg`o_Si)P3SBDl_4*vKniq8o;uZlB=23yXq(f2EsTnhHiqKx*|f9A1+`mORA>q1|y zhdQip(Dwx0dN(*5_1MSS3y1PX-W&riR({#va#MrqDl1iobozAbWx2k09Qh~0U!h<5 zE?|?F)d`x9c&dg)DgXVy!n$*uQ{Yb9J+K!8E+<>?@gmmRn^p84YHqzGosht#(BbrZmRVbh z?ECkHKhD2{pf7@xsO~jO8R(U*qrRuQEngo5ceeRcd`{7OD1UzkT($NLgZ@tXekcx2 z0O!+(ce6Uqm+qJs;YRNx>U@RPmW$I=m&D3e6whwMmslMUw(O2==OgKSBF?(tyyp}S zr@Hry_IFX&AkXF0R(GwvD){|*dv!V&!gnE^FE{CU&^d~250JLqY-|qB7SnlyU5l9p zUMGn7{lhfg%$bqkZ?=K!x4psH_C@n7=N_lw4{Nat+|=2MeC7+iVQ&JPVO^N_O+u`_ zs#O5oxz-L`jlLTQoy)&bzaeeFMfk*Nu&=WMT-+K5&TD$kvfNyH2rj3RpUlT~A$Xqe z$Ufi*;w@{3jJI62N(1NaPod+iy@GnhQi2gTy|5+x*B z=%~X-QCC^|Kdmg+mscPTVpV>uW1a76e1`2eGYQ-|bb$D@La1Y^%Rk`yw<_SOW?!6# z#rtBU-_RFa_HPtwb=1~lu$SNLA?~tZhUMHmqkcc{2j^Wp$6M~K>UT&P6tqvP>7M%Y)jq+{FQ{=7VP=1P<>nZ-B*QP+{We?Inco}uk9IKONxtT#a^4%JW zbK%A~H#+MnPt;PXOMFDWINPsm+JgM|JOh0dkO%(DkCnl7{^Q{6U{CDJa@!5EfBJ;h zd!wB9nkb6D_#p=Uiu|RJSI*HwuxEda#CV;nKTX1TRVmU5Itv|>cbK$X6>LKN)|-3A zjz`@dHQ8SE=C`Et@fqUDI@O_dcf^D2e=kRIc6r$rI$KL2KDw|!`jx)@6RnQyQXkwo za*_I-K5x0@B7Pa-uZ{#$oZT`JA5rBBxU**}xasfv%IIRJa< ze-3eASAFPwUa%qg-|H;tWOg5C`{jY;zbyL}Tt_dhZvE%OzJ|RTmUG^o=Q+~avsF9E zPw%nNH_JXHS$n75O>og_C+S?8G}dz6h3t8Squ?TK{S?c^)j6bdn9fJe$hvqRQ7Ie2 zb?1JxZSnq0Q0>&$vEC-jm8#wFS3UT8+8Jx3{ z;PU;Q8Sv9Jr=CPTfSrvpYQMklOy^|t#CFKb^sAMEw|s}#4CvfoH7Y zz3+mncT2pij>?|^KTSq^?C&bPFY<@C_?!3}7jWZO1Mz2*7K6+79^h;-{a(hUEBbXV z1){#G+h26I{pzYC!Bx?#;BtAXAj_SWjO<(0p>8pVSNb6YGMT|E^G+iw*Ay`%CdOu4)BnU01J;dFNe{ zz(rD7T91?FPtC~IS5p+YQ?om*Yd_zSma}Gx`psH`{myvjj)6B4VQXF{SUpzx2>NAVy&T3tz@$Oy_WBt^lhQS}% zuoCi?E$_O_+A9}#@;@~IaWJlKNtQcNfzane9$~z^R!8h>s_i+7Lw@?s%n!}M`Z9+C zpd*IR_bapI;5PVkHxc&cYcKLM=Eq9bA9*7STug5YedTc)`?48N`=c4~k>({$EwDPG z!A01!igEDYymA&;9izseUo-X#T1VTuZnyS&**db<^j%9n`6a?~^L!2Q){UU!ymwPp zhwXAD|I2Sd-tw&Th>zHwh4`BaO;O)uTK+XwhX>Dwy{^;@I-+`+P3U+1PsEq5r8?jj zxf=F0x`Uf>kCFd;dI0HEYXyD1z3eS(=lJmH_9{b%!B0Kf4dW6w+allO(l1~y|7eYV z`JTu9GOYc~U!c!+(YcooO2GMn&!sxx{MZBeVBAX6xy8L1bXa5{xbt*A;^P#rPviZz zIO3o-&+K9S(f&Dkej=9Y#{1uv!{2eVkFd)0d!sy74fR3&I+4cJ#2w=@WBXw}n$#WS ze=d6eW1WVOP7|unYS}pW!yY}JYV~l)ilf1pxqRol6}d4PYM6kx<-hD zj%-f(qerH|KALnK@8jTlV1p^}-<9g8xET*FhR6H{``iM4^6`>*i?Q%WWzu_xvm*}N z>GcZZWp(Gno}Ebtmlb}PV|8>9U-%GK zJJJ8|cdI9{)_;??G5Y1#>33$%Qsb>X{}@5>`E-Kn%%>e2(QiR|k6`ycVjVe;W=pH% z^rbkkAysLeE@(2%a+T{g`BQZyxcs?ygyn4gBXBf-P#o9~nUeK4Eeh*SL@*>XWuhQ^e9|}f% zRQ*%fUyPd%#q&`j?MM546Em`POa$eFe*Fpim%4R~_MKC-PpODB%0sVJqhX&h7y9a2 zH0DJu>xp&bgi<_N=t1OzZrrt=wbz^IJyF!G4jma99%}tJWi~;FC(WU{l=g2Bc>D;` zZ#)ihHbMWwe;!KvzW!%5@lll{tv!30a~|GY`j)-dFZ_pQSl;t0#w)(+P5VxvdEu7J z4ZEQ)ioJpV;#R+T_Bj<63T}QG0zXZv7xs6(j=oEX@96(G%ng6kVP|S@%!}xG4F1UF z=_{;`@pw)CS4^h-@%)%zxmZv8o#W|^c~s{o(073I$*|Y&2NAC}KE&GV%CrwUb9!T5 zSeeb!GptTidM`FtyC806@z6z<^No)&UUe@NT=k;g$9eu8;4<+(;vmz;rNI6oo#)MQ zAJjd5;Su8OBvU=tsrkTJ_`YAQKO!?{9`8IvJrsqT54W6OUrghz@)FzxHUACv*Qk!k z0ac-+)A}H8vcXf>i!BwY{>*HgZ0+UTNQ!5V9mr32m?+A6+^p z{(eJX&wS5dURZ0Y!*U0$BlRLmWn}kjyi(zh6D47ztg7+^I zIgRY2FTq~TSqpu6Dul*+oBp3lC%7kB9p;h@E`J@2@v792DRx|J)?{$rFPY{m;h&+F zn{R`_Rn}gLPu|GkR!2`+h4`C07clRtq-&hD*9Z22%XKR#A8M}#&u;p^zyF01;JV5= zn-{YAZmfGAKd_tqe{cRg40S{{q;r<8paN}PnSy7LH{6weH`7lxPqbXb4nY2~E5D;| zvqCSXTduDb#QJoO((l9kd6Bu6%PvEpV}hTf{_{J(MtNBt(GWUn{u9)5{lk?i*4`XC z1MYm2^ZxGl4(m%?s0w{93Q+yuH+LTTO|Jw0m5(RwFCSipS$!vWCOFHt3hPn+SF$Da z+tE2yKFfJ8NcF@yM^9)~NL_mGSkndmvm(jlPm`t4S8cXHU+!|wS{>PWCG^?wQ!}l;m=O-HQ`b{` kSmRjBO{Xv5kEmM%{jwc3Vk}qPQ^0kSH~Q66R!3+24{SjHx&QzG literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/1.npy b/MP_Data/pose1/10/1.npy new file mode 100644 index 0000000000000000000000000000000000000000..9100e294e511bf07c20b985caacbf789e6a69348 GIT binary patch literal 13424 zcmeI2_kT}G^#6xt_1>e6CBkZ}ubR8ET7Eleu`Bd6xOSObxh)=LeoZyBatO?M@UuukXG#wp~0a zeHGWx;b>R0GW-7;gm$%YB(={9p!TJi?L1eieU6ukyJoL)L*JC7j4PW!?W}0Z-}SNO zDztT)y^6Ezj@ov`z9PQ7Q7`yq+SjM{^K2*D7ygHKowod$eNG$Z~d~(F?SD?0RRf=F7oLwp}JyM7+$|S(jiJun=)l zRf1mIcHsRuMeV!L*xHk`j;lGHfj^}m5wulqkvmfJUW#6v1`XcFR8}!?ME5>0?C8Av& zp0Lq!6Z>;JT<;#nyqLT_zu9~39DyM12dskJJ}@^h|fcs@G!9r#(K z3EG)w&}rMQgJZ7Rc1I6HT*cQ`uv31C3v4?d(;J+JZN&Ih&8!KQt7@IW^_pSuORqXH zAN>v<=(`-A5wgF?3-)tWpICRR)b-__-6N6maEi3#E-ND7kLwB zLjR*LxNHy&&T^E7pRC|8a3}s1&HL-m(birJBQ8h%h;f@-MPY9mk)J$bG`P%qB?SF` z?n(Op<;J`?KmHqUx$|QwaP3!!=4<1l#o$x&VLYlzgb1rII+nz|u!k+7#{wQ<-H9!(G+(7Z zgF7wK%dJ4`Dmxo`{=PmNeeB28zMzjLw z?9w!=BMUVLSIvvUUlUSdsO5S}W%6gwPO1ahb0%1Be8_)QG!M9_G-x&W(@2U#J30@D zw84nK&hsbq<@I2y4HA7lAt| zSN*KLxJh-usaKWi$@U7XELVR16#uBT$a57|W(M@V^MJFC@4(IKrQw##$IB`1)$U>6 zQ|;sCxo2?a$C>13n}WzUr^QRe*&HcNeuf(}!*>Yh6Bgn030w0?7K05?DP1Xo^jp(8F7_J#h*QDlE@ z9Q9i>ag^oG=KZ)=L6X*cCy%j~>je{FZ?;f7GO#(Y9uRo(LiS}rcsqkg~qmEvyicRUQVSKVbjbWFVwh_e~BeyX*1 z?o^`jT&_*)`j(F`p6jp}ag$y4l0OC8&9$7(Dv$h>ew(S?<2LHH9DN(((!J8b)w_dO zN9t)JxQKTpzx>irpVgT|WIwzP;>_!Qg1z4911^(hz@9(x3$T9j_z1H9vILwJIwdXF z^~Zv<%Rb=x^nS#_@wf)gHyoin55BbA+MBP3$-Z43(!cssS2U4tdLt zR>63MR{`qx-wnt^eyRw#YCe(jdfN>6Bi(5~Rfm28ck*?MM!&-=W$L_#j;Ildd1NPP zy^FMY;Le+@uy6ZT+Uc%cuZGu0cMZT_C}Ft8lBeDeWyPt-dY2LDIyp>>o#5A{kU7Q#MmY7Qoy zt#t0>n+qck&92GtkHsCoWXH*8Mvt{uk(wJi^3hGKBfg;Z2&=E&bp#h_#b~_@c#1mD z(u2sKNdoQs{E%_h-o#SfkmJk4p3TgQ{e`Xn1@_L`cF-3&?_u8Mgfigf({!wN_W1(U z^D1pWpmPl>FbG74yP>i^utgeWLl|Uy@+2m$XD3&{Ydl9BTdnZo(gc%UWH)<<)ff zsh>rThCf~IgNq&?X}m{LF~9uqW6JL-Lnxoy4W4EF6z}PMK<)g6;^0|15dIf$O!?V8 zAM(u^@cl}wFFp*X_%x{t|IPZJvA$U7-&ikl8_kPJFSg0*uzXa<#PNynQ$`dUV|7$y zU+A!B8vdyAXEDG08ReU9z6JispAH3C9l4X%ue|(*;+F2V)atMYbiUyw9Q3a{2<)za{f7);&Xo-t&0|}ILGShbgol10x>_%@-7Rkz1dCY0hKiwTpo3a zht9kDh^O;;4*VB&`X*Q|eqD%p*L%Ov{C^Hx2K&bCV6SJqzhdv@(Qe@K_8^LbFMY>g ziGK~U?auM06#s)%XS9E{#Yq`lB{zb-oO6!ipEh@r<)-v{=(DxM5NCEHEe1O4B<0)L zcZh?z(7prghwK99b3TC!ezu?G>>#aEtq;S0p8eDW%lW5LxM$@J@<9*r!TxC6?!q7A zl|pfih#PPFH99-p=MTkIjkyAQK6N?z)oxAcxm)exV84>;n|x3Yb-=9mrgKzVdOwoY z&%>S{XajwnO6LdOH4Xmj#;M(`pC*v%2AiV6Sx9FA{b^0`Jab(Ou6ETNXgT}q2I6L# zS10?gXQx@NL_yf=^`*c~|5_eaUmd*)|K+H3%%f;jbg<>RkD_sHdjZb--SW3w78pXj zaS7v?P{D$&&=ZS^ZUioE#j=a=>`v2_{ z>AWZm&TBlOyp8LL^MLBRi2QGThsGD(DBAkzbp3*Rv#u)o=eM4r4zq}Rbl-j{U8Ab_ z*nVX+?cXx7GmS4KZjIGp!9SD#&OnTpf63Mz`dN>FtL3h!hwAmk`Buki><>RhVCMcA z_1@cZ6FCg_nr)-!4tPwlIa62xY>PP)PqS%&Z*ksm#=grOPeY7Xmh&HB zoMD*V*>CxScD1@UJ`;(FPBdHL?7U#C9h?X^qwtd0uJJpWv6fquk> z8KJOmkWT%^zK1`;yB_j{1tdX-7cNLTWv@)O_Rcw)KeaXq@zJBl;k=<^X+M&&0`t!H z)LUWg<<2+IQO)&KgEK4)A zJ5}ktbkqzadoEe5^DQk z)KC7dI?Y$P%=hAFk)+@GW^ee}bsp|@QXtja%VGRl*ZfU zBK0%KGr)4E?0&kBi@$5{S?ket>{Sk+a|Qp$1@rFY{Wu@opT4WG1bSa|7ROG&b6@Yk zj%{Cqs~U82rR8D__2Kj{p9_KW< zVFCH?`V!paXuSwJGwu*ST9bH}G?<)Yjc#8Dso7wbZFX(-(@ zxcn&>jX%d%8m~{6RhFxV#i3(@-XqV=Pd^W~TnzXVT+0fuccz?eZS{5eo#0MX4sgA3 z{y@t`zwc?hn~srAmz`eV-CKgof5#Kgv!{>cD$pO?EN=*|BFglzoX4F({+TEAK4Qu) z!Fh}iTuAob6)FD@)uFoG`vN%kIR$@M>&J_&j??cwxVX3m^P<0mVP5p>60{yyzXx}I ziAEhTALxBnCLaZ7?sLI;uC>t7RePadr)`0`R$q3d?_la~HgGe4c0BygLGPg~stULm zJq`Yd-UFZ`r^jPnOjyMM?io7fFnzaC70yx}3(Vtbbxg!+*gLJCgY&2j6D)U1)?uV ztjZMFn;NevK7EVDS$p;Kuc_9ar#DEkSGlV8-?)#-4jumRKKd0c`bf0T5Tw7I&KqVz zPz3C|)9-Pn)H&G8vBM)_-*PYPO<+G77hgKha?v3f{&43ojjQ$kP|J0>4zQPx8zTQj zmC@s1|1}Twd&C1=`}07{o&1x)b?3HZ-#RYBa+aJ3&a%?_5-y!)zJ})UlN0e9w?gX3%H|bu{mdn3ifU9z~ z$v*fa&clvp3G%;Y0J!)vGsN2KJm*Mf_(`(={2SiKMVYtYJp2MUo4j zrRsLr?{6*+8#9xh$Kwimt1z~T-48?fax|HA~t5es7_}Pol zVg0L1%S8~aBi3#5McW@=GCmB~Z=YeWM?FJ41ZQt@hFW{R=P2yO*!zfs{NWJJy`on`*sId_Vb5!43$*=;kD318%Sr3SWm$8p zqXRhX#ZR<;`Ga_T=VANz(LA;ehrY9|KJ6nt?t^RJ6PbR#8U>wc`^g{wE5xG*;(RDv z=YpFJPrzm0Tln6hJ-3p64j1=^y|9f_vujCtd*z2+pSTD*mJ^=Q|s1EaEU2eGBxZm;IWv`}4 zPO|U#0`V~;7rn5*JM%up!A&!I?_jGV+glyoHJ0KK*$3;3b(@9tb#>YG#U6!vQ;DF9r=r4ldJd6e~&M`a~{5}F_%Os?aT ztv@p8AUF$jxn%8}eKE*?-YS7~E_T9t;b~i@+ID?qI`OcLSQlnRXdlbj$~xfs$}@^{ z*+08M@BDoDFT3Z$`Vu?L%%lu+(R&Fvdr=(v=39N_o6fQloO^V@x>jy3e%4-2UIl%X zdlmLUvFr=#yxvg@>y%#+*Wkzfm}T~ADpG!$f0vT|s5EIgKlcbaEP5{Lr>g2V-*V?# z0{Rszc0!kB@y=8y(j8}YFY?f96Adw-dbPEkk_gKKRM*=KvSM_n_l+c!@fo51xcSj@uG&-f){I z^e^?9d zrE}@*%M^#gH{hqKSqbY)6c_`2-LopWR-`&3 ziu8m(tlyZ)maEkp$p46z&|&?mD67Mlj53TKQHxLGX(yKF0aF_j;xxwpEma=zU+?( z%X#S}^sABwfXl*5DQ;UDBM!PzQ{;~r8MeaO>nfxp`ke*WYr9N@pN94Y7E5)2wY?e! z-l-M&Q;~k(=N@y&pBQ@Y&{LvGCrcrmXJm~+E^~%gWnDS8+oe-=0^PGsu}2)yX^z#qwdVJ{;(Oe@5p`h{a=O&)NNh79^$D|=zE}k zIvIJ+p3^yjujBAvr!R=WxK7T1pH6l9-AezG1^#Hy2I!adr{5X$%;7PxZ$1P1@`n`U z6?5CV$#PxqEa{}u@4q7Cg-o)1-!+Ou*``>h?BN1@-(ZPp;PM@P#}z@lCtG{b^(DCK zbcfdUq*AaKk)O%_OWX^CZsCH>*Ov*`*^Lr3oKVtLg0^>*^=sf>1*)c zsW}PUx&Ibhn72*PN&C`YLP; z)&;BB2l}k?C+PDzyTYu!%vuKioAeOMpFi&Pw))b4AneVomGD#48Xjxy`2@-bQ6LxU zlKv+h`;NYSg2vT>zRx+`Jp!z~Q*$o#MVmOxi%vO=y1@rfJXNEM$Oq^4<>uC2RHXMr z^Pm>x?UaS%tv}AdZO~y3)g`_9=qSrY*l=*|7LGXU0xNof&wL2(T-gq8dX2&Q)xX}O zIEPXl)>C#5w*5MjsBWmrgD@^r{?R1M+0X;fF>4t7VL3`*9Xa_zso$A?;A-|E)LY}8 zS@&Ag@3d^tq3PBiDf?kwv`;epVfhxJZacF-Kt~*2jd?T^6Okw4>uA`E55Hr*%Y*?N zt&Wz9$nT<5A$==wnxqLFk`Y$`42Unq9h%@gSzr=ENBOP4tm_hOH z8i_ii5APMaKdyt>} zm%XSbW@0kwjOE~JUo7TJtyu!@{O$!VMiz~-I(l_S;yp)#>-2jOmWz+yf$L=YeObLT zA@Gx*LVQfaYGfauZ47wbcyN9$^Y_hm!$w-}ET!|3Y)O7PB|Gl2T%CSO@sHe(_{;DH zvy(EojHdSmaXb$5DCT~^`G>vFJkQJvqInE>xx(73&NHDS8(#)D@oN-x+N~vj4o8EF zmoJvXzR(TgGd~l*a&o%mZ0uxkr^XX-8Gj1;;_i5GRkI-FZ5fX^Yp;WslFn7yujSSi z*k?_)iQwWHeYccLnh$oje)HUrQk3l`x75FHtBhM?WXI3fmec{FiT6d-Yqx0fr`W;54+(cb6 z%f4V-Z2d~CJ9*4UT77ow5&83?6V|ET9Z=qKGxHPGqpyEb-M-O3$o8wc9!Rn6{N#L$ z%jsVlbxC>CIaPS|guV_xINaLHbM$`5=gy^laP(!IOXYz%=$9X=hjHlKg(9uJ{^xhh ziyoX4@iFl~g;>rzUj-MD^t++@IuhfR|BQw|PD~{HH$gw)`+!NN@29e}3;K0hR*Opd E9|WHOy#N3J literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/10.npy b/MP_Data/pose1/10/10.npy new file mode 100644 index 0000000000000000000000000000000000000000..42d3ab269010a6cbd2948c1594f899fff12c3296 GIT binary patch literal 13424 zcmeI2_kT~x+r|fBi59Hh221qSI~l!xl_+0Un@D5{At4c>O$eeBiI6A<(R=SQ%F61! ztddNWRW?>ztMh#3y7L!2zdlcXIj{4cYp%KHo^s}#PZo9V`Jb+RGO;miyrz}qe4dcj2Jj_l;2>>+xQG0J=n!Z5Ag{a?7FX5vtGSgRV!8H6Z!x4 z&z&*GZ9Ca@C&McV>8N4hm7)t!D+TW4;*j{{?EKn&Lowapnr|!PN4*p ziwBKR?qrmUev_#D%R?%!-WcUPJfr^9tdDGcQSRJrT%%*IC%Nuf3o6$Uk*SvR(C5_u zHytk8a^aT|-`lt7zv^A)zSXIQca1Gq@fr0`c_M!C`v;WE_W!2Za%X8q{d4@Ot!MH# zdTg(HOVMOoZq|QAeof#m#O0iryZ5m6sgx&R*H<8uyZ17k#WW`pXmVpgx~k>>0}2 zmU?H))%=Zr+k0K@CF+ad8~@sS{wxsvXCHIkL%CZV>YM3XDE_2bEJIV(U8vPNBYD zbM_ki2gaj)r|nF{Z@iD9K40jCJgJCv=)ZF>$5vaPRT{X23O}>+Be1|UjG3uM;|CYx6l=-O7zEniHY}sa!<^1aIJoc(@`Jp~5o18^h zzb6w@ELR5}-D&2!I`wv=KF_UDt~<=Rf%0N}mn|2M=b}Du)89?F?pgA4%vYy;>;+rS z+Ra0KmD&a6CfjdVXX;_e-L_oM?})q_ojI#;-OHo3CRl$~=wvGVk2I!vy`%`r_3NzX zl3c~A$Pd@yKhht0Hl?c~ZsGl9u`PG%N^t&eJ>~EAt3=Dq=pMv3561kE&o9J+&&duh zeEn(OO>XK~&f@zK&++Pxm+MxY=(5goEjokCX$+kA)a3794qR_MO8dp@(J@vp3N)sD zp!h{_c2f9TKhw*D{I_@_FXqtuc~e;Bn z6vxIua2ZhSSIfn<3E)PAfeY1QfaOkl8E_q45?qx}9%}tn<7%{@eklTO?ksFz_3CW` z>1(dVI6C5JxaIO)D!6K}ipICfln~2xj{d|So&#qe*N4KVZcT6&mVjiYtPwzrJ4TwSUFF8_Iq@nO3J z&9^>h5FZ;u^HYwlk9EQ4#8TXGFKHfjsf&52&in<=V{#!b=f!l)E573h@td{4`H3HA z*>+`aFY<5ffq41w#le=FnpF{x3EqkL#gtEph_iDkaMjffT>ExiXF1z86TTw*EE<=~ zz5FfLjU@b?72(()Or~1MgNc~}Zm#a5{KP$2f_A%xf{SOpz?q4{zN8Z>AU<<>8MvBp zWd!tIKO!D}q#W%hr?VhV*_zggXuJ>e+yt#de|5`T@KNnEAx<&5`4sD;lH!m@Q~DX6 zJ0j{yjF*c$ZRb&belAS<^orPLRQKW(e{PzG#_v#H_~gn7?i7qdK4jn6;g++JC*aRT zGjR62^fv3yGVdjyZ+Wmz+16_`zLj5)&%1iyGVdX9_OUm(I6WOc>dj9<)}P-AA)g6> z4!{i7{+?r|D-C!XfN+ka@D3`n8;ICp3~JGR3*l8ZM{ ze@hiaJ5HV==oi2L8|AH2HRM^9bcbH-90IQ6CqvKf4IORc6yqXEe`EpqL|4H4k?qET zv;BQZ-*X-E%>R22oR>R}dF$M~xDx$ca*F(0m4#kUZaBkoo%ELY^4!E#_#Dgm)=KCv zd;1yvV%1J#z4K)>|4pOu$g7SEjDSyjI)~|FmB4wG>v)c^A?4vC`4jT*pFi5_#c5A) z)iC4SoO==UdIGhp$25mt^!7pCSmtAhQ-$^+AFpoHt&j7S=Cke|LcHtSD9cs;jnK=u zjo|zxpAEhHa&R+>&OfT#4AQ^qLcDHq^w()vhV)a@u@Cc-n`j?syLP9S%U}Q0hx&EI z6XPgW|C(U^wO$4vzFeYRwynKFJSU^U)$LK>PVvGRM<+Ea<>BWk@Nu$d!g)YnTMWHu zJC6M4zDGQ2%qQ}nG5}oWDMb1brAdG9J)Mh!o=rx(uMg3BSrJR;qIo+eS}wZ=Krj1l zqkfI`q;VOj5TB@i;i{KQ$M*$=+pBZN9X{;hL#!jFXOFZ#;z~Dgv$YJZmxCRVPkB2G z{;F{klwFFVoQa{W^>^m0@0TlU_3eLKir z#rQeUvj!jNIs3y_tQRw5EA?yJAmmL}ai{ZVj_sH?a!nfA75#55fPdjb@HdfH!Oev* zI-iu!$V;DW7#DHwJI({F0-b+&@e|N%nSlLPkIj#E#oGUZtDY~w#a(aW1zsUe?pYx; z$rV4#_ZVCzen7w2;W;$EJu;s6bAl1SJ{mmN#;MMBqH*`_3B9bc)Zo z(C2TC{F@>bX}x<@O-OR-WlAIHOx$^jzuC@6%bgwT;qRo3rFr`-X_56|F$!_$JD({J z1G}|{e&7M>PZvhxadpVq=3ysZPy(3W$ZD4r`0&tjRbBvXU=p-F?0oXZ7-J7Wk-`O3-tkGO_UasUWx$ z@(l6l?g4Wx*YB26zuw=+mFMp_&&$P~ZeMZFp3-+MmHk14v{2GHsJL#e+xmh`sV{6zCW1(y56-m4lh6lbwOigWK=)Z>98hg*O3 zY$V;E*-lsAhLN@&?>rjgF0M47d>=cWXt`|rirQU5`=a{Lnx4PKpAoN5@7F4_7S1O+ zdm6auc^>@`X9e=iZ~sC1$%W7_*})rnrzxFh#9Uu+6{YZ8V~oxTy015U9QW1W{5zeW zO_eU-y0?S(8aa;k3qG<5=?}J!wEfi&%b{H{^9=f@&b5V)OnFQ3{Z8L&oF88Y+WtCS z4wC*q!>|vS-0m1(IVb{Lb|{7XE1&cp*566%L3-5?+?<@z!up76bpBDVYNH*Vnuzm{ zsFsd<)rHQJ;`<(&CvL~de{6p8Szmmb_2-LY!TCpe9_mMxLM&Hp>3L*!G{(5gE7?~; zANDWwCg~vJmpLlNTdtSX#C*^>Bf*_fe}VHCYskM%kDj zIe^~pRF{@$M|H`Le(@|5a4#c{Qy%`jh2Sye2EseUAead?pc|#w9bZB#q(5c%lNL+hu#;Bp9lQK*V{B-Gw;IH zx!!XP+O2*S{!ZW4;HFaf@z&pImoeW8tfPJ4b~57EmouIdAL-m~JT5p^uU{=i{O0>} z?0cqE*QM}TOZ$>Zs|3#Pk6mNA^6E~G<>!{qj)V9x#Hn&8Q;@< zb6~t!gQAI+>+-a}m~CY^SGj0>Wk^oq4R`rj&ic^v z+B`l3ACc5=kmb&>7Bo-(m_+O7)7d`I@6FhM+!}$K#9`PU1k*JC^1C5U@hE(!m-TNK zPx)L@3iFxgY)$K~@pa-2>GvbGa8H8u=W{-T>#~U$7iaSr8kZ#{upUMDYjDwa7WM%V z^#OY4ddB;r#r2qdljM)f1S$kVFkX!N7tUY8oUX8kK&ukLeEA!~zH7>sbasIgep{?im=7SHLe-7t8<2Q@?wTI?8yOAy4 z>UH^6kE~ujuY4WX@MH8{sAD$x$mS{V5qCyMpnQ)2SGVqh%YuoKmg{U|!Oim1;HvPh zSIFQ@%q2Lo9c^ z50L+wNAO`)HZ8WC?+u~6O>98%Kd!a|{(qDMmsP!pXBoE2a=pA4#S?fA^WT})ryYFS zZ9*R8-}F15;(jqnE-re|;s^V#1+V;t;<<3-hON(kNnU8LD)b8UvUDlTTeUGOo@=HZgPuKY z1%IC7?n3Kh#8+y!<0JC#v#|#-rylFJ%p)TY>pz) z0N42x=7~tyf_ZDMPlms|Pu~NatP9{T{^$XJ@%|e2MR~LIUicTj4Ih=8e!o)z0rZ{C zb2Ihp+ck$;z+a?a!#JvIt;Sg&)2srxdUyfcTrN1way35{oX<_gdglS| zSf_H|cWO6#Ecu7F#Q9c~@PM9W8;btNz0UEQlF`FuMMADNtUqU9pJKIvFn z^G?CFV8(cbr(U!7&Z;r-;9bj+eq~mzGhE}Ivj{0H=-JRhHjb;^Tl5FeUM@t>-< z7CzV3Q~VQ$qQ9c~#6?Ng=gEC=S$-V2+YLW})4{-K1v{`?g+m6?{ygbj0aYA2S;9SNu#oPbShIJv$#(hmCoYaevL%jWGKjj!yKig;wnZuP95<@pig;?#Ny zuH0sLTdu|>AWk;O`<|_@w$H};lAY2ie&5{S;^^=Qs~6u^gFC0_JB&KB5_;y77yi8c z7~0>O&gpIaqz)n;dly{P{}5uiZa{JJ`n510T<00=C&Kdx^txwW>_4jE8O(p(Zx!)- zt+8Irv~Trp2lvkUkLxlz1FrxtQ^o;_oy4ChDJUx!7KL49!Dl&mQ>j1+T)ATwKk2fOvFpPUMZn437tY zG8pYT%~n9q&TUMzJ~B^UaQ^uOxbs6u9C*|@w9DEQ!?@@TW#?M1>h=TIKNJKv6E{+v z5!oruGI!ylA1xbW_3X-7#KW7#QJkyh`GC*uOT26<&I968$puL+Ie!#@cyx=>n71PD z#5K^jDnLA8F!I29xhGiec!$Hs@py;+>OB(AHQ{#)oc(x>=2eX^STC$xAbeChy{C&z zS@&BX{&5-fVqZ&&v-g~zEtk=5=$Bg1l=2zc)<4O`)wJI!4+*akk2x2z#Om3Bd(>{- zIC}mDdB<73^YaL_YbrCW7vtR*?V1)lNna}C92*%m-TH`3yC|NujcEOTVvhA;w{uYZ z!Svq4CPpDY`fA3xBBUPnH@;)%ChNo3%^`i8+T_!@)=tY=x0c|d-bSoxSEv8e;f*5_Ef?KWkx!oSU0jc?MCak{VbrhMxv5_dBbTFJHxnmKJ4k{4||Ar~#|7Hj{ZypA&>S=I&SAwg1yAVJ7Soaay=~M&rM=kqj zmA!Y$({ouY{~g?UHFXMfRWsV%HJkJYI!1suqH~UuBb4;JvZGx-ochJbOaqtM7Ggh? zAL9_etg@B#ZJx}xKBB4*;^B#5H15&6c3ZBZ7ecRpsEzn#6Cdnj#^j;=)W}EYwB2$_ zl1ne^+(myy7@dc?`;%zPMHuZ@`qOL76TZ4GxO1M?k$B{dJd0!VDgP~IQk>%{|I)2P zjEzTce@6cQWc&_La6>_>jg+Iis4u{T)n z;%mY}8>g!SXxF*XAM-(OKNM~KS(|C_ceW>EA8>v+hW8rneV+W~cUnhvZs0lS+@<|T zY_3A_99NOnU#C5y_?wTWd3$TgbhJB;-e1&$OW;bS;XLE4|3qpXPg_;c7vNSRXSNN=4YJKJn46PbG%M-%bguV;Ug|)A)nca(#yu# z$rJsR!*gJ~oV4`CmOIIlDgNorkT-SwJNjj2P6OwAXg}2be+;sExpf`sqrYOlnJ(QF zeB9~1#uVE@?Otx*GRdV^A88!f9{R4&js;>}==6T%pZ)y{HRxdXer}*23AwOzF ziyqeBr2Ps#%e<1}bkDp5dPVDz-ONP$(uuY7+!=cYdbx5ReE6j9qpY5vo)3RHWG;lg6M^xW5HH`013ydlbR^@7gBY-$mjpZ^{YOtSnl?Qb$@0Q%*)50A8596wC$ z9;WZvvfj2u)<^W50Iq`RJE*LE81Fmc_C9d2a4p8g@o7ZwL05jkd{EKJh(}I!)>~2%OJr7Hjn~B>|j0 z>;o>QH^=V+d~Fxv>*@ChvG;YP)w7Iqi`dZ}dXxA3WXpBkbI7Oa;7LAuK?zY^yk_Kwao z&cKn-Yu{TK7nO4%+GQIqf{V*bog|k(|FR8Sl$u53yY%Er%T0cIKC;no$mb3H|Cs4P z-|=+w2jI?%qwtqy74E>L;Jm{Td>>%# z$C7^6N#bws`om}NCgk6lm+}8*uTt^6;CD}fi#1CzAIv9(b?0j0|Ns6EX27Z39Pg|A z9D8QxnR9(Z82;b8eZK3s@3Z2Gz3M4-M%a0!?`Hg;bkQ<@T5bj|$9X_y%Z2%*Qu92v zTy2bswtD`dGR?CE^xS5D{G4F9v-H&!)DO^@k7m^zKYP#OQ^8rD&Y0ISe;~eB$SGZ} z*>dN24RF4=z;gJ^T#Go_{JF%#m#nc|w7hZI>P>xmKXdwB9|fKx8eHDbSofYC7Ff<( z6{b9VkB5)LLzY=?X8KdRKV(ImviY>tma7XpE_u1G+Is``OObiYY|EwZAaMSz6ZCA3 zqDiZg5g!L{z4nw=@pN!{T_*1m22UNOf{hgO{kWYEaeTnsF*9wD+)Nr)R jk9=KWISR--P%>6cc094`~}}%zi+?XkNY{-ea)FOXU=QxTNbqI(zZj74D2U1wnE^5@PM!i z^?3!~f%Pg>;S~n{7&aoT->|+vh6N6Aym`MN;RDin_@I8n2c*BRSffrIpDLBA@bUcr z^`9qWjN8(;{L)`-##fizE6cL^Ns{CHK0m>G?<9;f@7x#Md;RJ8BR8%p)3|(B;kM(d zYX*#)0yHkF(YR_qhQ=Fs()i>T_`LZtZbHIuy3dT`9(Z~GO#j`4sl7?(3>T%IcRz;RKr>0S5A zlAfG(pEuh-BEO<-B;vB;4aW7hC70c}_@2gDvvvQv&+$t4X+KVm`OA&7n8bVFS*M?M zukz{`jO%l`uVcJiWz4Hn{{7F5i#Opfp}ThZh8q`tU6C)b|H&DQXFBx4y|TC$$e-$A zFs~T9{*mM6{pVMBP5zzobH?K`KIe1$w0o76OJdw6%}Yy4f3Ie4#OK-D=9u4jWqS=> z)4X@xIN$pM`(_?aN_E^e{|28|kz1a-adW8{J}3Dy_^3A{F)lxJ$Np*G(Ns6}qOpEe zAs*{9DX~x8=fwyQ`n+zBJgM#*FfO+I_#6D|RS<4okv8oLUN^19IP<)>&b`;kgBpV` zxq*F=5oJER_jYM9?Ox@Wfu-Cl8=Ubf-WM&4aWP{Ceg3*%ZpV3++4#IVxyM7KzgNe@ z==}k&TaD7+vr$>`c|CJ4#>KjvRL{ds?Q-LC%O=ua?Vd@bzt=Vb>#@apTyW#Y>nh^c z**aj{-n~nCebWD+8`lYaQ2)~ZJ;qJf`iBtjd*6HTKb`?~tCwcW?EJac+pS6IucB$( zW%x(+LH(;WjY+p|Ym6IbZ@N-nNZy9|`NHh099KtLgY%W4SQn4kw$O1imx0Sy!*R}3 zfw9_gyS@{+>G%=#q)(1o?KscT99(7jig>oS3E=HZg0r+_)GvGG1Alw2Hr6e&{spd9 zHw^Gg_t7VEkbk~!{>J;E(|>V3wpdnhnWf=*@GNq^(jU8z4i;au?jB_bVXDU#;B zsgVbjDT?O(m-1t>-v>9l_K}b23B5R;5&cE{QzZ)iWBQU$SS#u~bIQ+g+|Cam-f%HE zyB7()4HyV+Zhj!22GNM0g?!<)YGB>$#LKzx@uGOxkO**oH+T&A+s^Qj4|8K*M2`Lw)T8{oZWr(8;{5M9eD%q8)VJ=`34~9U9pGwF2)H@9 zXRza{)hKYgcO>akbU*M(CBV(S;^5MwY!LkSR6zbswZh=scUeoPH?c9~zj6)jqgR*l zj>|Qd!I}3;a2Zr-l;bwJ8@T>-0-X2Zqa7Dzs({N zb3TcKDV~DG@yb8vYVGuVUNM??ho*Wv)+p5JMbtCoO%xA@kInU9h2tj33;w1+3vl+n z)lA3P%zw$J|3o@R!&ai+RMmXg7rl$l9ozH}=gv<18k~RrfO?Z#_M_g!+XIMCWQ(Ud zOg^x{#c9t)QT+3=()x~PLR~R-7hJV03oeJhL|vIqJHXi%s!z4`@C@f8-_{1V8;c`e zG5JQY<7_G2A4Jvth+k&PyUKBOf$GYh$qOz@jaUsHJdyHHV;1(sG%h>@JYx@40fd3N$3`9HoK>+~Wu1bUIFKk=`pQ+^6@#HV6cf}1L@;V;KiA5a;qqo1(& zItk9lG#U)OjNXkpSG|75dDJzsg0m10#AzRSPH}qMWj^vNyl>;V!(;9&@N@BunMv`N zE&;vno{RcS@j~G0MhfwAH~TvubuS~hS-K4Qu!#=?9hWl`;m>SMaMt9?M(590uP2{3 z#ps+i+Y=4_r`zCmcN5}^6Tn5yj^Mge*LA-0VIhNvcYBY% z%63e`ITiE0F)t6@bj~kbCd0FYxmPuHE%dDAXyn<9Z!pvOh+{=bU#lVQOUSkXPS1wT zMc(vPL-Ft5G|zF-xhT$yDY2RIdiW;#w)VS#b&2xNz~#|{h*PDlB;Kkj=8;RUP(A#) z7u*j27J1M;ob{@MA+DJ8(w%M8Rzm7eFgX+!--jap9rt%pFb+Lod` z=j=uCiqnd3*{QA2naCWxwbjL-Crgb$*2G^C^V&7H!XmA;j z5%Jh9ans;4sRg*0Rt5WL&zGC!I2&xK57$_Ne2OcVHv6SxU9JPIYl{!nbDf|#r#A@; z;bR*_U|w~jFY;q%&L)0%4#k-|1p8=Ce4u$#qu|4vUBtQI9@KATjcMREZaVfw`KLjz ze+>o~P2WMUaup#S@Bw{KT=9m#sJjj8)JbvZSF*-hil<0Fif7GktV^HBgE|yl$09yi z<9MoDr%moS(!KIt)W?*^9h@WOAB=i4ye;{kDU0(WhxS3<__x#_?A7KNSC10toK6eH zyrxGL=tb*&c)rNGlz$!5n$BrpIO>6oDhfRdoJr?BZQ4|qXO-2D_Rpg?J!hMrtnA`s zHR>aN?$?p>FvT;{anq$Ge8i@kc+Q%KcUyq>-3z_V)(u>4-q+i4*=s8F*7GC$rC$i1 zUwSj0Yu#}eH^J1$uT-6KdlgtDcp^ykZ*NH^sjxF>YR-R+RYjvv@Vt2CZ;hj^xxYD#jpwzOv^k=b?%yIEw9q4(JcYnM0I@T`5>&>2sM~oXz@dni!>NvYn7x_2kYEmBvDIb@V zjybPM`i$ogzp-nkIL;#C;IFogpn5nmdx7)eqsLPG1>PbLDxqUXr#Fqag3E6|(!R&h zy;>&^A^)wZs0(>E?>MJdPwDz4uz=<*>kB=9@_I4!b6(=T+F2WYKzUt5|2K7dP#um>A${ha@Hai~!H4g=kNEA+ z3wj{V8+2b1OAdmwDBr5iU!~FglZE~cE<*SA!@NEJLf%CCTEyF5pYFJ^o|una`Wl>% z^FZEIr&P?V8ok0k%C)b8-Mr%AVp`YYFFY#sN5`!W0B2b_eC%JIgTUK0ruYwj=|5YJ zw{@J!&8TBxmr|V+nY`979jp1BpcfnO!bh&V(#&!Gu|4vmYGlUeWMEc27g&u6h+p(y z1#T*xq37%vx(Di2@2C%~Oud97a`bD?lV=m;T{O5mycueo|@Zs0zQvC52 zuQL1u`krp{lz86CbWI*N^=Oeb$_iK}X0men=3qLrnI?(+}KHg08mMJ*H`N&EE zbRH-9(0apa;ryD856HjBK&t<$@zme0S#bF-7F;AN)F=17NWMiLfU`WS=zF*SY2uB` zVqN-UYv^^6ZQwTBFyc|=@x0b{Hu?V-Og<;8Pjd0=_y}-SdJwo7S8X!Z`(Xg_fn7)+ za0Of?l>j$4u3>%b@B8pq@*Z^hroejDyt$z+4|c#7=-H#;=o{u?A;i!5IB*+5^>1#D z#D1yy?P=c7Z)slwdS^zQt*Afq8LcVKfX)*f=UK1fy=d{7&RLsK)QK9ihkS+=BA+L8 zAJe&J5#RME@+0PDABy#!rhcfxn`7VY*!J;`t2|Gj*YO7tzg7DeJ8rgl)48ZJmw1bL zap2A3pf~lqp?}IHB~d@7a(~iqZAkM^iH~r4J(PZL5sBvzkDZhkTvmAjotSwGoO{l| zb4`7s@8j~(mwQS~!B&3Gr)7Ea{q0BePnrA~`^zqT>F4Zc^7)kJ@8)HNqVQgB9Z&r~ zJQMbjZ+lL0tZz(pdp!w0=6rAZe9`^HcQgoaK58A+t=>=fAQlvgIBmyp%0q?Y$b)@x z9pArIBvr_L$AD#lDi$x6p{xfJN_fzIF}elX%^fpni2U(dS{p$4U_9bvuzYe%svJm$i)uJ`= z8q3i4L>c*$)3f<^XuVf@P=D@}ALovho(ZnEbOUF@dronBo3B3cpo!q>m&e#g+wwEz zN1X!atNMn)|EmPz37>E-#HxD}{L+1RqnFrM{c8rQ+h6M^IL;T8b z@$TTZX9dbnRL*wJUp`L+mmhM_Ioi8(Ao%wT>$R(n!G{+d8|b(S@&(sP6NsPKi9R6y z8VGKd)(6+jyO-1JK0B!X?!Sb;3jP)MF?EIVFVehG&pg8r&}WSMW331eUVl2vC+5(+O#kKpLL-sxF{7Fhjkt6P3zsV3j3nIUoZXAeN@17;?bwU?XMxy z>D8cka5eTR?c?Tm;~h7(>GwlbMS+_|p`D$N@XSv8HMTQ2OZch<{AULvPFblN@}s}s zxC}nU6K=b4RwNhns;>v`S0Z*Y=?}a>9_;qKi=AG5Xm-cxMa9ziokZOzz7d~)p8-DR z(ItwfUw!4c>F-Pa*Drwcs4kJ<4M!0F@F%$Zq1{Z!RqvhPs*FGJTXUlw*DX&|JO%fH zv($!E&pBH_Z;tw){$<^S(N1p*WCs`9n}h2HrNSL&=M}ha-U!_OTrZORSChWcU~qma z*KFuBKLj^nNtoAU`W)*xuU3Qj9_lN~T#Inr9@!4A(r&`XTspfD`jipK8!uQLKGxqO z(Q%Pd8eIO<09>bLjE7GSfB5K)sW_)BHqA3@2$%7A^G1r2hP6> z8|~&*-8#cZ?EQ)QO@Wojzj-)~e6DHKk2v9<;Pj%#Y~n?qVO{3av{jDF8Sml4PVPVN z=ho9~9-i-V-e1t`J*B8_Q`Zc1dOqYGxT@QZ>N7RNe8=tX*WjY`BkFInGU1-dHa~;E z&b<&^PaJ~%mEq%{w>$C?-%|wrflU|%z42^~cv#70Eu6o(cZlLF69~?Cof_-nRiEfW<8!K>V>y+G$kbjpBwkW+_GcRs9PD(2O#CV{8-d(;nmHk#(`a}aq}8-Je! zpKAW_*UOGlUkvZM-EnpL41CP@dyxmzbRyO(eG`qza#|&yf@fUgsf75m# z;x`|>z{Td<;PN~FADusMdjnkka2w~{1p7{RT;F(0^PXFVdG+x?`rYsISJ2xr!;v3( zc;C3BbiLVFn0&&|!AFKRndG=^{4LG9easp7F8VNz{9hAS*YQ2hX3X%bVR;pR2o zC1_n<`EXvWXVV&(cTOSFm#5!X}lL2-IdfxkFV56=;n=Mv5P-~{|x)PZo! z`*9ob=9j@m;U09a=rRkOMf^v+&`EqB;my~9i^yO+H_RXZj&MG@`tPLg>_yL$lqL9G zPPP7x^li=|e)Fa%)~nW0KKWhxJy}HNhh8_Lz9f75(0V)Wo9_H=+ynTif*#Vcc=Q|P{Py9@l; zq%hQj4Xlszu4+x#<(KYb>VCq!vi3{lNB-WSisO1#PWbSO^u0sYZrsHAn`aB4XYYH{ z^SxF$&X+1j{gwq40oRY)pw9K4IOz3m`W?nJiGkh*dBR_$MWDZ_tu;Ejc|}SHxISvZ zb&D{1ey#jW^Nwsl=Wc)ER2L6>v5(d}I4AX=J9(-8|BffV?t7dUUF45x&R=Dl0j`37 zr*qLPUuVayXC>07r6Hf}L+KwJXR~R&W^x{!FViGDzTdI-iz%M_1>i4>L`S-KMD2KR z6WkQ%TE0-oznG%o&s);(Y3kh*^m)GA8~Y+h)Vk>A)4k%BA)en7$v+S2MbIMLD_EX8 z@X_z5{EhhDe!mc(TT0JIvwatQ_#cJGB&GXtudDD;YYQN6EaA7sjOqQ%UR#TV8Mu__=Q2BA_t1FbRlL-lV#fnXghjO_z;u zde-zX<)=d|xQ-gr({c5>3%H(5zt5;w7k^1|^WF%eI9GU~ZjJ1<(&^=je8lSpA`c?g zW3l6UPAGhM5JMfBg5p7}cTux;f=D!|Z{MtG0(J59%@Ev4a*bay~5iZ}^CA8u4?vWRcU05<@Vr zT>p%GwolmU^xSNq_$ziqJTkoeRPZ+I!If__%ELV$?R@m8jN~&gk@~=_>h%5MlP@@%v>JUtyx6za>2*wJaP$5G>R>?Y>RFp8d!#e*o$;bo~m3?7YoQ$w;K9(LRx^UCAdWm3Ao$=DwLd~X}d|J)V0 zKk#cqNuP=GpbtEqh4@R;ygcJ@==sM%$d4*m8G6;W8udvT-xYD)><51}d@kj=`|Jep zr)Lo-3!(2f^4>}OuBH1AgO7dm71qT@=UDFaro;wtzHuw^DVOhn4{JvEZCfE6@z`m5 zCL_*vm&yN10JuI=DAI8|V=v`r!w=x%d3)O5taT{Pu2oS#+9xdD>Gdgk-lAwy~BBzPwC!hU(<6z zz3of>Ee1q8z3`t5f9`9rE;HdwB6#y;_?WqcF)uqdK_#W@&5Khs?~(7o&9=gLUa0S` zf%C?5!G-Xg3VjMaPi^;qz-^0~$fqgrjC^v}MIDMiqXMC?Lv?6Q(f!AkuGA9zadG5R zH9m%Otv+w|1wU5>+&*3l&fhHKj`K?WiTf1r8mBM5@-x&GZ=XLHdcT##Z+rkZ`zDWfoOO5uu3H_#yf*Pj3Fjl; zR=~XG{BG0Lhg`Uy*11igK}4bMkgb1?LL^(5q3?ilrh)62)#$fwH| zaMr9Kem7txFHj!tc%eRZpWXf3yf%vZkK8r@>(T}9PjOt-+y)0NoQo0q-VM7-)&?2AtRaW>-d>VkdI^9~~(-Saf{?QV~t=gsKG!_pWb{2eWl?ywj_DU;L{Mr21@Ewx^p{KBIHQ#(nv_ zqek(#m-6IZh*MO*jecm$d^5=DRoUg>D%(Hcyp_cMnp!7lUEdd{`ux!od9yPfgX_e? z=szN3?KtOSzMD?x%ZKXIJU@nhV%waed6NpFZq2G_>=zG@1-BV{g6r9za37OnTZ8lU z!Qk>}QY7N6#7H0O56-e_oIClN?qhmIIr2#z{S)*-)Stym`nzs1#DqF7qUpXQy;ndl zrU&hET)(`JJgZjpcWC-jk)M;&xlLUN&I6ay{jhj}SjTxay3g1{5wu^kpJQKa)|t?Y z!xzC-_VwE7SkYa5-QVzJKxi)PHo2N2IqW;BVfJf{!_z zA9c$knk{xdq7Hpe;qB=E%T(1?ll;=Toj3t{b&USbP+#jg5PWAixDGvxePk^Ihd3X3 rc@5?N;c@J{EuCq;)9XD4!A)c=)!VW-@bsbo{rg`A{+EIOA2RTN=PyZL literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/12.npy b/MP_Data/pose1/10/12.npy new file mode 100644 index 0000000000000000000000000000000000000000..5055f4dff6a11c86aca292c6f4c595f80be54ad8 GIT binary patch literal 13424 zcmeI2`G1Z_`~F8QtzA)TF}B27`>rx*tyTN343Q9fgv6eS)Gk60vS32&d#trIqbQHW z9zktm7qKhKQ+zVVnZMxs>-X`?^}644T*sVq&dfP;-?I4U?j1Vy&cXuOWY57q0p4Rh z8*|U5z70LAaZlgTW5r_PsZm;wd&WeU9EC8K9&E! z{>#M}6Kl%d@p8{9+5d7+nY{N|qI+)o{2aVcBHHzKei@%@KY!xd)mPMRK6u`BT-&dy zJ>VJIMKNlZohG4OwJ1jId0wEM70PTcA8^~fZw7}_`@D)z;h&A#+3@$)wX-Sv(a!Rf zrS{^~E_|n>T_t}&yEf&~u5(bkdYk1Q;(K=HihEk0Qn#HyFPYiD_pDovtKQG9x~KFG zr}l!>ZqB^H_+?V-8)%RJ>9KoX&7*d^ycXhD=S$yo?fUdcY7flpe^9wcj*G^f@8kVN zM=rSc&4G`|uWZm2aq*_JvU zOdhoBx*u=2c2%tx+U4RSPh2~%5%k7AWzT!JT)RA)aLIjEM_-*sd-LmmyQhh|{@k^T zH$2UK7AMC)bx(OK=Q})49k}D#t*VH)^~53P9Ovyk-@2z6`e3u5iJx#c%Q#aK)WuUgmuO~-Syxq6dahAlu<-O6^XDZxV zJ8n*OCI8nSP=8qUA?x5%sTH`$mmA#JJMgz%N`c$dW7zMu$;%~9FLTw$dNA$JfioL3 z*eiqU&AFlHL%&OPpY7Tj3!UCR&H--fe2;x#uf1CYpO$y9pIKm6>|R+jc`CPJKK!qFlYe|9 z)g#|e(A#ak;I`I#;x|$#{)5EDuo^V(lwj!f7>b8AoB+;3*GzW)ws?2==%V>BFS5qp ztI_X}!qjh{BH$|P%^1YF3tM z&8HK*GW7b&FvMfCm!!Db9`EM#GPMNt`!1f=+k`P^*q6&3SNF@%d<}U|+#?<9P3S)m zpXk4mxL?|0r?&~=#Fu49|Du*Z)(KyDA6)e+3ogfcV*T3^`@rq2HsI!MvpMh?)_{C^ zltjENYVSyjC-eUB;~~V)!?Le+TvYys;?((xzw%z^xX}u}s{I1Y3m<(S`DZnI!(Rt0 z)Ccik8uFm@MCy0MAMjDH&M$X9eD(-%o;na*_nLybBxZ2Rr~f+Q+gl(`c7p1FZucGC zb5@s)M?AOupf`;VQ60#6dmi{-UxLdcIS{A(eK6t?r6OoQcYTO+M~`f`#495nspnAq z)k{IoDvS+xJ~n?5a2s`+eD>rW=r|jc4O}Ixr2Ma$ImB_@eJA``g(j5$KjOAIf75vj z^kQQP+P{^5L*3(H_rRG)3*w1u!NrcQ#Jg$uh=|w2oxj{ZI#WNB`b~})=eR1o51*}F zggl6@rzS$bFp%^q#o%v!+QQ#nOrtzc+z&nLnj3YAE836zuQK2~-|I!rhqWIHz1aOP z>Z*L&Z9MvIU6sb!ZdZy|hD_8|0q!aHZKV8fpNKpw)n>NSi_{XNU)LP@G@Y`eZkRn` z$eXxuoZ@NyVUhE(yNhETs)1Y4Za?Rs^XvL$jLTMf4z7;9h;aV)R6MvWO>v3DpTiuN zgAar2!i|szee@;tI@B9nHH<=BEV{eD)0+{~z)kOs;CxShoFlUGIB-!Rfb`8*Q68FH zB)v|;x;5XNS>=3`S0Xq++5mc$+-Iia`ruRY2`EQAbuHGd_$PBeUe8bd9kOB_%I|3X zv$MY*GEf5QTG2s#X_3N^f z=ZihT<+TRL8`GKfWd0a%9o%>Z#x;67;#Ya+gPS#HW;t$huBLH)JVO3Kw^4sg)KYNP zISb-Zof<-~yxW3XUJdgo?@gZTeAus+&ab@j$S2E_w9_jC%g&t;r|w@1^JtiN4EnW^ z6Z!@dwyP^7M|e&c~eV0Dr#3llDtg4AuG2%=*x#74@(3q7JBC z{uF1E>d?yqy>PymGHt;1%l5QS!^Y!$5ygsAoC$NzyEx2&Uw(D{+V8#Kt11t~IcV=@ zZ-DlnsNU&~J*fV(TA|==X@13kdzam3eop?3XXV2fujPHg%^D>gSD`b|uPXKl{&GtN z)D795_O*!}iM;8b^5Fg{ep!umV>aHSeru*JM85;J(mMEb1>AP`_5=UD9^&Wu@?l=s z-LiudGx`y=O7|n53ZqaTWc!~eKTZEeoVxTsr~_j4O>nM0 z(|B|Ii}__Wu27x28;JNtw|8MK9=5Ut;xrX|L9hB2NBtCE)Wx7qXi2RG^RA+3H z@-c}n{?Izm8IMbdU;a1pSMa#Z?-ft!-YA3CFLwQ~m6H*ND*h39U^b|u)3YwSz}X8% z^Hrb&?$x5kD2k`nd5pu(lT)2u-1rKgb>XL257wtig!AV|>D;k*&*MEYwcAwi$sgcv zTGKhEdly7Jw%`(Q@l`YE^~zz((zPCm&gU%Mmqf~OaDHe(BgAvN9{C4t2RHL-c{^@9pQd?f-w0d|Y(3j?aXlCG z!nYha3+UCs`I|l$sNXIBU>@ncF;CpaeB=0E4p9KA zMFFZmVsYEn;Kz4h9jgxXeMAgcw$Up?FOGJFUZtl|oOf%scbt`@^GMXlO79gZgmb|> z$;^9HJUGvn4d=4qbPv=$KG42veRP@YSDybbjdw@`==Ho;@L{L&BmZpDbBv35MxZ{+ zEa8a9{BxVem;Mv#9t(bn&n&Gf{MdJ$esyv339012Cl*h8^|iO_SLE}i%y*FEss-Jz#EJy! zzvbJR&WGn6jCmI~8e+Ug7oz>!JPkV8(Hn7z5oK^6;HkI4RSx=oEm~#`bN=kdtKi!6 zKJ>EXceu}((X=1brE-*?4|YD{sk4XT@EA$F@mZYL_7mL`_|nXLOge;n0!yAm`pdrX zR~-*ccRt!<2=NBp!1Zb$)K7i46u8-NgT}XhFnoCEL(=vAf!4|5yJK7))Z)y%EcQno zu;KeKF8%Ek@~=^r@?R;bFXErx5nN7d0&aee^Kd@4JJo0YV>^nofPb*l^Vl2oxn@>8 zS+O!$Cua6R_*n0v@ZtH2%yfEIV;(r~bQJk9XA9FgnAQOEE6V+ddAEn_#UY;7&!K0f z{y_XDb#}DlHmM5qYV>??;nOq5akDuFdhOAZ>gV1saG%%f20^diG)22vJYcfZ^K+TM zx9q=&c=*!rN$~&lH+1$0t$#7TAUGfJ6gpO2;3*c!CSI=J9Q3<{sZYOasUJ#W9+d~x zCH;H>^s@L*y_~8v1K;)n@$2QkgR5J6P~XhWGur9-my5vpoVVci zR z^fcXPrZff@xu%1wKwsML+30(bd~*R@7V*QqPTP3o#n#D+b*s~71tSmD-eO+)(=Rb! ztZKb@$3?pWl%FXKdC+$@`9l9?Z*cQx6>xcaQ#&_aQ*tNizse8JT3_`6@4+x$H8~mm z@*cCPJ`bk-pj(H4%heNqae95!m-N?~Qk-TJ)~)Hh7jf#ikJRth2;9f?^3424SHXI= z-jz_dZP{e_*tX{=o_vpE5KsMA)x|P3&5X=rnq0JvD2ZKzr98t^tZX9onF5F z;U4o1g@ifq z^WFUV`+XFs|G`a@?Ck9l+$Ts_Q!^=!(whMvdQ#`+ik9G&R&(&H;|5#I`22Q(e$ zxPBE(Ts9+pr$0mCAG8*no%I7Z!IASES6R|X?|X#eDP1GVag$OLTz#K}e6z=uCP05; zH}Ma5$$x(SNXO;$0OXC$tpgwXEYA+;Bg+zR+>H2!Z{y(Kt`mIBx(jr^+&lS$KH%gwItE`_lYFlHW{4tT!cC%U*88;d8&iUQ_boAkS`zn^|UeM^Fz~V&W8sc zC!Y~iM`hE4^u2X*8u|ENfZn|N1@+U8?g}3^c>FEI=iej9J#ETN=*5ARw0`#f81MW= z$$8{|{W->E=8RwKxE}riK4Ox&3bgi>J1^_ z_G+I=POn}BQ63f^p?U0DJj8K+w1lezG{hG(Vx z%kOA@#m%1d`%FSDn*eWp4K1z>Pj1zJ3rH*ChsZNXGGvE^C?aO)K{JJ;BrM~${{6svs-k3bi>CLkv;9~Y&X%E>5-mH~6a-q3~xpJz}7r za|K+lP9pz41ih@6m+DV^6s`X_4Q_|G!G7U|HqU~O zoe8e8Z^gdg2TdQx&B#jRQ{)BmtfCM1a9lr+K)eBhh>iq^E)o&EeDHVPVK72tTpNDWZkQXlfS<}`+fNc^50y9=Ed*v zUif5N4j;C@72;H1^z(G_$nR(!YSs$=>d-V_$5rp+$b+8#0`agbmykDAF%>>Ka24Vg zZ9|qhz4&7o`Zep{!ABk+xexso*$TbAO!q+XZ^R78`FpBY>_08x!-Kd+zYFQ_t4!wv ztXrEc75R~`{zg3ZeLd7Sn^b7C^Rdh3P`^cLz(-B3wiErnZvt-XZp40PY|%#WpswI5 z_cg44z9^o2UT2=C+e+MaI+iDRCZ3){5WlQmp7#5<b3a>B)W0! z?Ert?rz7$&M;*ZZL6sQ^y(!QQTyO6)&-t4G>Q|Q-3(i6=B0siO73i6)PWAJ}-p)=h zQzZE>4yXBQGBw_Dm39$viVFFt%C{Ni!D}M8_C7fs@g&gq4*795IRCmG?lY{% z66j^;?Zm%dx4`L5%s|9r0_Z+t-p||x-YN`wTdNl07uhc3zRH?>2`;jf&b+5Jrt`N} z3dYM6{m!rcco&iA;*X?rQ%(JZbt1=?1ZRIGlK(&5ux_PSH{_qKq36f)J5In z6K=xa4j75~;<*>~MVu!+5x?Eu3G2a>h^BQObpU$NycEsLxt*a-uVZHuzx1B=d-u%0 zM_OMQ@u<2I{<_4C#ZE5^hrnMPJc@NCf{*V&zw8*rv$!z&)l)vIM5m9V?{R8lb8x;m zI@EFV_&W6Fi@ButTQb9OG4cWN1`ojH(&LoR-7kqhqkXMP)EVORHi*`t{`M;NubH}~ z6SybcyI8~taQ1mbE5})0x~K6T8^HOk`wgHUFp%wdhoTy7?T34c)P!Fj;n{W;4c?MV_w*!hgA1+)&l3l z&tW~ta{8J5iTs-;&)f2vO8T5Ql)Hug&z)*_6dIg0r=6X?`cpi*uYcpnE=_PWJ~DbfCXi2G;qg zuIi~-u|8Su*q)Bd(|st;R(Ej@$}Pu+Ic{sLr2Isuft%&4gTX~IIG^<`eB|@hIKTAx zr{r^`IO>lnIV#5K#furpk6N(_>r?GdMm^#E&pipG$&&Y$WNq_Hb4|q*;oQ?hy+?MjBe$RUZIc}b>1Q-4OL7aNX zgt3mxu5@40rPf2wxA^RLoY#8@y@@j}59<~|y!g#kj*9|xzcQo#C7*BN@cm0)rTW9irIWtU zpYXToLGV%Q3u4_$Kd)%#qavfhWuhO(%f{~s@pADOoJReo#evH>`g{YEbf(k|~weMR{p3Lvco9FHG_PM<|pYxsH`OP)g%v@*AKVsT;_HEz&Gd7lmR_+%x zDlnvS175jN|9X|H^2+^(hl~#CJFL&}kbXgqH}4xfDkzhW8rXM4Q0Bcy&AN4KRrRdO zC-eW;e|Z>Vrc8x&ugt4V&h|I1ALc(!&b;UP(-U`ZryM}L4&xWyJ==5Sp=%c(KBApZ ztbEgPqY9&49zBe9{Utqb;wPY8-6@WC(e5bPO&)3&H$rZ>=jHZr@_+W0o_|9ACNRUg zb~`VLp5O8k?feURUM`-7b~E-J+D)}L)P6tf`9UAizg~0V65$4i?-1F?ue~~})mmlI1S012U4Nt%5+RdByXcsx+9=PY^%9FU4|2+A_ zwd*23-ErJ5N;>DRy7!^S?rP?bx`y^A2X480nYiPjyNaC?Ub!nP_w#kv&Stew0l)d| zjJxt;!(O0$VdH16U1U22fAcB$k>l!W{x|L_zSQZiUG7_z>h4+bGN;_tHXZcRUAdX} z!nLzp_wc;TUJm`U;PQCh4)VP1+HI#i$d@>G3jNC;n&5d+Ec%semnUcZwpLo`uf)D&jXWv!CO6|KWI^*KUqDROv*FUmV|}T|3YJ(~t0* zHS3DIs@~htZmw61clToYOdquGxJdIR^L}#omd%a?zwn|WuC1@r^MiAtUCx#h9p{x_ z6mnO2WHO#-v$kg!j*r`e^~moYe$d3V*Gk0mcH|DUo73m99@wf5hh4jkh{N-0c*h)g zer+P=HFH94x^_`4lKLOe4(-x=AJ#E{)#i+AXS*6guV+3)yXX~{GPVuYzpBue=BxO{#jahAXiEI@4fHQx|C->qzVidsi_ey) zxqhU773jJD1MCw%bP3{PH~L~8#H1$Bvqzrr(Hp*7kN$hrApeDRQJ0MWA@aYSi}dU^ z_PcG}2mW$#dDH=&^BTD7R;ickpLckLepQ7QSg#_SEpYxK;wiXz)A<5)o8ByR+?qeY z<@i5B3J)zE_(YQKkRUr_Hz17H{i?u3dB0q zT}}>gdYcvxZqJ8-^NPMh!CMA_t9~=V<$`uWj`NpafQ!=Ai2uhY0RFFwBLC*ks^F&c zH9w~}$HJl4;rlR;GVX8~c;n;L?}a3A(|g_o@W5u^Eae6`f3#tudS!B(y%)vvPbFOSrJ!0)um1fUKBD_h`0$)I82XFHkvBVV zDtuVoo@*U9Gu~j`SkVn!NAI5DxcKUCiZe16>)#xk5bpd<)z4^N?$Ewtsil@UF5(M- zvvnm9FT4FW)*ElRlj6IOjDC2lj|-ii>oAJ{d3hRNw>VlSFH^u}q8It_Z|6Hbo3S2T zjOhn%(tKwi9$T6Ch)Rf8$u0d6&v1%IoP0oaz%Mxg{Z65EWj{3rx4(F^!O`DkGeDz-+2-M^_^r)_pa&{-M}( z#PicainGdj@|Pu};NN{ZxSgN%-l#P$(sAKg58UK$h542BN>UyM?M5BuueTzfV)4pE zuS~st-;nb2u@~l1#HFrqKI}py`IMl2AU|&tihjFJ0+*KJlsn=uk1EG~a4mMhhh6MK z`!0#}y7~ri6M6#gcN>0<^!ew5%R}R#x8-tyv!TVQF0J%cu3xiyE%MInE^uAKb`fo+j5v;PwI7waD}%#ByhN+;gsIrfn#+5+!K@$3iq>-n{?U-YZW zSSR`+)d$(EJ=#UkqA@NWo7fZmib!wL4+%j0I=&{jWC8HEPxoP+2tjp^HCc^wlxSWH z^C+)ZrE&EePVd<-s@8^oU{S=$4)#O+mjlzLBL2H|;I9|G!FyK3t*i~6x`g!i`-7`3 zuiAsJ8A)*t`I>x2{)~S0!Uf=_$}-B^&;!_CeDy@C8)45$f3U@T=VM1i!CzIo2d>*r z3UXZRq;n>_$}uk@=}!OTOwJF{e3}2Ik^Wq6>}z&7>-#lhB)Iu<2e|o(z8gi;yx{6n z&vDL&-Ts~8FJFev4<13NpZv&9THk|bAb#_x*Blp*G9@Vwulphoved|-j?0~8vCdTk zFItCjztMS5bcH`(+XeBh zAReCVNAK%jZc^SZAE$XK*&@XG=p_-*n*$trz5CY6BYes zq`$q5e8d&$IREW8aItj*<$vVo7?+MIO6%%KB(7>|#uDgxZrqFO>A3R1u(ghxf*I(K zkKTlM#GoAOpjSO8{>=sHxx~Ax9cQicAx^VA7vj-@%U3!s^7>Mo!zbg)8x$G|{oV4E z|7E?Af3bJbie%>#UKTp`;wj>{HReY+Zd;9lznl_5d7i%k=L$V(5aLi@el8U$HiuUilg6cjKiiUW4`3BoA77-8Rhw16ZrE^N1@k)v+C3HAEtU` z`miVW;cqL?M!ULSVv*ybDV@XFwN~IJwSBDPx+6U=m-$ki>2!$BQH5Gl9`;^@URJCR zfARV}jjQtqmBF%gL*R>p%i^|dS;RnHaz>FTQUy~7!aq;Qi;BxuJ zNXPkzHtUY?FFLodR&}Abe)oc% z-ae>K@iz^oep`BXcU%QVAiwIz4XIwv*Kgkjchz&fp=Zyij@ggl#U1D88X-UOkO!XA zk4MBfAG>HMjrYY7ny-@w>Aid+>m1m&Jnied1C~0yj=BfEP3Z|eo8*i7Y`rqTb@#l8 zQ*XV7???MX*7xDg$B4_U^<02>R^OmJoTT@v{?K~5eDPq? zKTzN*=pNqhwhYx_b72^`p7Qfl==bJ>-m(mg&x}fekN);B`F8C=>ty90s54^yD(L0B zxu^qj<{(-peY3us2GhFb-?4tqUyW!8JulWC^CF@meH^!y=zOK}1)?8W;$SHB8GCTg zI?;QEABn*G(VWZ5!@(Lfzj2}XP85vtV6Xm#{HX2U4#K#u)B8w{3#Rwov)XGMH_I4$x8pTs_Ke#z?oBGZF09@?s3@)2qrTbiMaAl{GJ9)YMco!qz)H&F9^7jbLm)&2H z_|O&f+=Q)6lrXBTXc3&bs?qpx*V|JW_ zzX{9Q2SZPd0gvhnE`lB)5B&6QoV!foO7yE|&87asS}PYnH}B|v1nqBDbkAtVb=P&^ zYWNAvv)Uiu#&Nc}IPP^4?K9cCz!JyJNgwFt#;kMY`x{dn7h5&fD|>sKt~JiZJ8pgU zLN9WR05>U@DE~#KB7T|YFRBBV^57iH4^w?mZPKr}=jGs7ot$~q*}|Z=ab=KCmOE{k z<6_P+aQ1Zo^h$S(2j5v2T;=)&b=ZzQJKk}*>%awyjAFwOZ z>6J%i%Fp`w;CyepY2bc;)4tew9bA+jfO!!QClkL}fcB&3y-+U~XYD^Rud-GV%$MEz zJLTv3d+2%Fg2;pJncCOsZCZ2mYl=4lH_iPzyMFbp)!=MzS#bNH4)&LQ{Rmu_u;`a% zYlhz$m-G~Po>Wf&;{ccVD#zFy(tv6otsf0ccx zS8Ud;Zf;!cTl(F`Cf}tx*7-`H)2l<#&#v4U9V?i%&J&`RJG~zN z{Vmt73V)Y^=f)4)iu*11$iKjI>i5I(DUN6UT@U^y=M(bp95KytS*#a0>+?6bJ{uYZ zy^I6rK@`6|^Ti_gf1d<@J2?e<@%7?Kj_d3-pjVgMVEr4PSz{e%cb`EoEA$0d`(BK2 z+&&pV`sl9UdQ26>V{*&^7iFiCPs&TY-}!`d#Q#2vep$|m%izI*Bs>545#Xx8eX4J_KhpcR>Uq*<(C-p9Um$)5Fely<-!v0?<`*&1 z`LLK@!0mE6r>lq!(;e40E`p1SUr*7YXwlo0aq zScd&5Yg=%$wjj71CXojbb`}1n<|fML{cf|Jzx3))K7AU3vm5b&qRz;&Hh*zczCl1TJx(`j4_4CQ&@ zLaZyk=QX&hKLh#U=Zl6VyK%K)@L?P8!$&+^Jk4=4oA!~&J?E_RHOG%253HPpUgmj( ze6rSIPHR1 zsM8kc29!V?UU-dZk z>zNL{E}AsLab6~#^f#V@t7kiu<04@^xO$ia{mNT~u@2eRW#qGFIO>>aeLV#J>z9-M z2?y81Y9SAH*<$ifrgMjV8iVfAeo({HAMu1Q)yMcQXCv3Vlbnu84ffgjLut za!q0QGcK_n?CWOO@3xa)l9$U*j)&xbh5mjjM}FN3{C)=U3whBm^R0~csrWDjT$Y-K zd1tjBVSkBiXTa4RIuDpuGm(EeYdSc8*A;pd@Fmt8@A!iJFUO$1$r#n%^=qeeruDGp zEjaJ|%_zjv=`Q&{?1}ZD1{aA;&eXHmb%FZOOigyTB@ z2yo$VurJi$TwdTw#i`#UhI!}B?*=%owoO96EXkAhb!BgSzl(*_DE@&}$$vu#;<4+Z zh&S#=`?^O2-WR5C6#Qk>){D-U<99%>I=2r4 z4?Ria8ow;n-K(^fi@Jo z%N-Y;d&9@9s!HpvYiYdKOe1<iT?hb!bvjp;N9AnIAE(#f&^lxd`e7ZKGTZw(F7D9#(bmWgA35qR@}`oKX*nLoujoSWeOPcvPTne?w5}B&xU{6 z1fPvn;BRYG#yMSAzJPPAyqxv_C_1#oxNNC=I6w0vPY}OZJe2CsxWavsGyU2AdK6FX zo)|CtvE@4FuROBqz>9&DPmd2cm+IhhG~Qt|z|AkA5r`*832;`j5%OR^Z!R5|3AE06 zq^7#DetLrAJSXi7b!I!_XTDu#Id0q0`A3&51ukAE#5t~FSHoXFH>eMK>r42UqgnO2 z>THUq|Iw-NFO&5?y%Y-0KQA@Sadw8@Yx@3Z8rQUDh+pk0a|_S;HKg@CEB6}c&ytUP zbPJsAI)yr5N>lxm1vZ1*S??z~y)8}W99?!X`TST9@u-*d-J#mWlh3|g)1BUopG9-8`xIi{pC680bx0GsG|El|&s=z7!9?-H_fpHJ_{GOuZUN z|9?^SID-7!kINT2&KAt3^}L`g^ujL$`<)f0I>R5*@0onykH|k;Lv`D%J&gQ|1n(t? zr^spe=sgoKU+l@B0~|LC==`JK1YkX=8HcdWZ7IsX9a0DJv;H2K7cngB+#X$u>RA1< zh|{Lfc}Cp}hQB^sbg}an-;ALAe@_#~HibhUejZ#Deg?fsyMcV_>({~Me;XqYcFu9^BUR}Q`Okew z`#0UQwDU1xbncP|u7HcZkE(cOa$Y9uoOYJ>yS`h(+i?@y4)ZJDdo#@V*7%C@9DSPBNz=1y;1lZ&y}3$tTmIDt`Q&%$ye&S>Kz`Kbe-Xd- zY7M9`n5?|swy1m(Yd6zZY0$0!e7>31f+;$k<~ujzIeT=VG|m+BH7;kfdMhd*ze z^>=)aYFN+A27sGIqiMX=ewyq0Wsm8*-k#0+U9n?GwBu@$56w%1D-_R%%c$F;aTjJHbtC;TXs5(VC+&;9i&r?k$u$c3QSrO5KAF!N)Ds;+|6i5$^91L`D&oAS?ko84_4Idq-MR(l z#T=~-Znx0?e^Y09IO1$g=N55x5c#k3p5(aor}LN{(*#`pQ~~SIa5~4bz(U|wH5&n+ zK6Gx;Nt?(gU$rE}-}5Z;CW~hMZtUBLzQ=vS!0my9S#|X`&Oag-opW^G^_UlVYy;*+ ztr-nHKc5}zN}cxC$u2)W3yJqkhMsNh8|OHiY^dML-$KvVrqFk5+)!|Fssydim7z56 zs{_Gpj0{_AS#FpT*a+K1Y3)v zDvFypt5&q`tp{;c+;z_nxo-Y~@2}rCzvOYAxz3e4cgD#%FXnd&=-8!K0XCYA_XrLN z4+`^W!abS|Y~)dkdkh>A77;dJc>fV$!6BBn9xyCCB#(y=9xyT_@48yu1`WJxRj{ZSPkrrlOuzYDM?I|A6*c%1g)A z>*+gCFHZQPUYDZ#&GAX7cNV>+_EY^(FJI98Jo6>mcf$X?V0}zh?zPOkl2@bqb<&{+wUn5zc^L)nyr_eHlbdQrh0a; z#$E8SeQ()PKW}}~-Y;|Bqkm52IK-tM-$lLYzW%hW7cTEmZ$grC?S0DiC|zHeeAL#P zYfW!k&ityJLjCKd4{a&3hh^J(xy${gz1I6v?}Hbg@Z6Rx_$&0^;qhnewTb-ZZJl^AeQ$Fqvu0NlQ{yY69zp&RPvae(B zXFG1w{p%A>TF$Rt!~MG8&=;s56oUKpxh{x9%H8O{8dYs2>N9?AZSONdTQA$v>6K3P z@0PE!*DCNAe_P6JCvVx3_bmF+mga5DY+H)DZXUMOGk4*B`SZIE_L?>MdXg>qt?tE9 z`iJ0t=kR(Lk;g^(!I+QQ>3-iQ@7fexf&0y|)u=aFX*3V#)Z1_CwMR7Wm(@BKwD)Vj zHW*jqH{mAkFB6IT#ZW)gn?0AYj#V4ygspcz)Tepib%*L#mfL0HQn3L~ZM~cwjd`tt za>&2rl0%t!+$0UjLHjEN=D#=*O!-cGmuTx{WMgplZ7%gc;C_nbtVkVjGfQ8w?U;>2 zp=VuhV4bjA8vRq7r)#TMC+b7*%&kXxxDvS9a(&VRTm}pDhi5#8zjXZoADQ(C>)olS z;m_T^!al%eJ_P55gZtX{`Nv%7`Q%=hugc43uJva(Zc{uD2A{P$J*mljw7bZFo8-uo zmYYg0Q!STgT2MSw_8||v^YLFSH&-b?tYRVTBf|3|`KL95USw4UH+6Q-f`3;(aFsC- zTs2xY1AM$c=^v$&PnlfkRd8Ey^JP)$U;MJ!h-VpbR<${}`5}VzXDA*c<4B*HJ;v(Q z?1tpi!yn_q%;jXuoyspLKj+&K_e@)AIeVHx^FsAPe#Cca+SmG&I1gW^??~EDuZ|gH z^}70EaQ@pYaGg;3C(BjO-o(FNNc-HyRw0)2+8@wQ*4PJ})w~jD{Y`2S8khTxN$+*J zJA5`r!bd$iN#nTnM6~77Zx=Xgag6xCiDRK3-vr#$dj;-1+%OLMcE!l&Z9~ix=H@mM z{AN7jkz3E8UGq)v(Z1GyVMoNHb8Azcevkd!>Yaygpf}qOz(@E@`^oA>!?l#R5(~)Z z_vy*-d3_D@#>^cC?&Q3Vv)ue~jN*KiLi0Z;ZHo2hssExqkr6`oW%w+x+^l98M=`wu z#aql}p5^LnGU@y8hh8L=#(Y-I==mx_J)jr&7h|57tp}lZ{995#TpP@>KJwQE#8*nFF$l4*m7R_Q^cc7JV*S_)MqKs`@Mvojc5a|Mh#dE-i_L0)zWFa z%FY^PxjxtgdX&5iWLA&gyU6kiLLH!YD`+@LR z1Nwuj@Mr6-zg`eec{oSw)Y&te_MemaeZbu%R8?B?Q-pKE%U#nV?zYB-I*m4x{tABDRZ><~6h5zXt;KsKD zIPd32^H8;>{vP}Kl-xhFHt^oXb&GaP8^#*E}ZSM&^+uAF}aO?mh+4Le7e*BjdfBBCwR#d`i%pxG>rT^uK{QGk}!^X-!*Xa`7W9dN8)MS zRi*vbOxpnNJSs`^$NMz-H&{fx$xi6yjo0XpOysmL$v9=(6={j!>h2zJQ+rqx;<-Tc z%^b`@zeLs(tUH<9km7sx5bKM5@EGB1`*k@B+*$Gkt*?D8@O%gD+b*1$Z)d$Z7 zR=Nw~RC@y`uI}?AY`d&bH*n_?od?YHrHEfN_aObr2&_}KFB|j3>6yRpC2yc})TY7H z(62{d!yLI-7Z>DN?ie-4`iQ;5DW6}z zq46$5SEKB3ktrqlp@5zCgdE6XW0B&aAfu8v^3$tALJtRJB0=V(M1TH((K|D^c zGNf;~4(BwzJ`-GQtB(G1msPZXdjEnr#qmVM@AOZNN1Xq-AWqX|9P%KVeLviC)u_EN;_+xYpR`}K!TPWU{VAR=)4+vG3g(YU zY6xzsJVHD?X*|}o>3AIR@bJqtF1^-;Ssz(xEcAR|b?DWW8p|{DxF~m>+Kq`rDf^el zI^|jJ(Ce7RuFk+(X*)B+;^eXo8U*3pMURxiH`0lo3NgOa^i zKFPK#R$fNCX6t-#XThjnELT0kDV|)~5A+w?mRjy~J_DWX+?Sr$yWR1gqMtTL9<-l> zdR|~5{CWHl_&7s9NBqvRnbO8-&eDF!4&S6aukopCxlSmD`}Khn;KuJ`Z`&@bJqvl0 z4SJJ)yXREP`RV)c=T-f|Rqrdvn`)R&?GCO0F0&FxSbte$B6!{c2X~e<#X2>$^3N?F zT7wI(N`I0rDwo>>&R)f1u=3I(J2! zm-63lYYw6N29;c6eH>OAIyNdE?dqKC%`I1TSAwfgzQ?|&rZ!n%eT*l)|MEJkQ7_sw z`Ob2+)gRZ!>oD;`m#4#jKzWS23g|=qeOn9b*NiY&S_%U z1A6avqkgfR0*Iggw{3a(^;(>_iCqE4rN+ zW%Ho3X?^Pbv~Td4e`21PY5C{RiZpL|bg5wLFa7GGT~@F^#)Xxt-_mmCN9P}rGYIYI z?Y`r|2hw>+_IC#tuXf=1==5C%AG6vQKC)3J&S|>WPsF3oP~O`8i1!^{=PT?3YSd_q zyLr)XrS<2N{)S$jc!YJKx))rEc25cPw!&#>>no1Fps=k-l=3M%G6+ruF5hWYSkZg>lpYlowTHAjUCo;=_mCYex4! z%?5W`#tpDO{2O||Q-AeAJK{zi#A%uaP`k~ZArFqGz@6k-tVm-#H38 zGvETvThD?imh)S`L$9CwO!e!JA^)ld%{TtVdCUhrw*K5qt6!1s!jS* zeTG;r3eo&l`*P8)bGR7RoqSLUd0^*P5|4ivX!Xvsw&3!9KXCElDm{OD45K(dDTg@K zy^$MjJZ357pSAb_`Imkl@O)v{*TF{weMCI6WtC;tpY@{i0B>=J#%1v+j0@}i9D4Oz zUHGtik=O@h#7S_ctP8kltiZ+F{P%I+nbhvxW0)t-fAZgRzY*XfY;>}1SG&{qD6v9< zJJ(w;wVXfjrT(TIrTr?pdN12AU496~@BM=I!^J+qR&UPbzlSE4rM$iW6YJNw()UAW zek$~4Q*(do|zr@ozw7-ptoS$j)@aeQ~Pgs$dql`tl*TbFB;Z85!FEaq83b`=vPWAB>9= zHUxS-?Htyf@T{L=eR$QMz|A&yaQQks)pEV=5`0Yf<+Hwd*G^pAY?QyOgXgkE+l`@^4%k{-$^i&LN`gS@_HO>yS^`tocmq&z-)|>w~Sp zot9;>Kj@)7p=ZU1Q9NnudZFFFQ@};hDd2hE&wPdPrDkT@_|M)4=N%HEmq~v|Th6Au02h~E(Y~?#4W3^t zq%8c|u*D~>uPz^iJjl576z9=b$fx?`&O%$y_EVhd^ZMZ0>-!+<@4Ten*TupyXxAwj z3ccE09C>3Am(Z@G%3xgd(8-90eO!V5s^Exu@Y%hM;*3nAdERF>zDua}4)N}L!S&2* zOwDr4~JRK%q{Xc+z*_+et`W) zNB;}Xy%NFA($9v&r+NkCUv6KC^`cfVyf2$av=57Gov_~7u@T#Rt^If!U)l6O6z9ax zx>~MIKBRUllmS<NECHzXt1b(0#J}7h8(8w62x^Rru&*-;U3;{LF63 zTj5s7o7kJM#ByDl{*Qre+6X<{^=*pvQRnZ&pY6L0F3QbBKJ~+2!R7A_FfQ`WG)uZw1S4F|cxq)`s(l_KE7ZYx|9GMC(-fkmqRDk79Py^yQuHgE+mUA<0Jn0=M zKZWXJ-l_=yRaP&$Jw>~GNfhPbyLOAgd-Z^i^F@8kH+iB9&ZY9iCW_}5npfnHx(f&6cTf~#@w;ID$qfvZC^z?~kEF;?%?{|~qs z=a2o0EuI)?Ih#-OoR>{C!yV!H0~;W62)2FW3uJW{3Xz<7xbQ@4|hWRdQKVS zK~`*y`K)`mu7rLm#VM!%11=&iU>|T^--VAzUq|yl;^qYCYvrGFN-QM(Sa-zZcyy<{ zO-lur_fw}@y-?xAD<35u{8_x^=6);0!`4s4xSJJ?H(Rbogi?OSwne|h=t|hf)Dhax zO{l>cvWN%t=1>yWyVG?w{8>UU<$3CS%757q z;(>?3MfmguHXgZsALVn6!g%R=5L~{Br^QVxOM*!*Uh2n&K(yjdt~+qZ2c& z{vDlr*>rl2>(b+pA5$=s;;FkDdNW7T_mJuIJY{R>|0zUDjIusD;|%noC;eV*MvwRr z{?+OHsd_)TX5(P7`Xl~7?FyZ{Oh*UYgdS;V>t!zWiM_9gSWB+btok7=LD9^-EPWkY&TRN3@@VrtPYW&5R9&VkGi-y7h6Z!Gj;_zZA%?cq4f*&p=06V2ms zt}t7M#%1PV`4@c;aWd(5ST%X-GRrwXj{d5P8OWy^)px$-tTnB7-lrxw_no=Yawlyj z^rq_!?0c$lP#51kuA*pPbr!jUi;l&F<)&g2#K|5PB;I3rAoKwf!PSSt;JWbq@s^98 zX{4{-nEa2WV!WI~S){-1g?X#vmoBk-&4(dBTJ6I8WEcOyej@9yhhDd=1Fo`b(0Q-r z7;w=sg64CUFUCb(tWNr&Q^8Gki7ALP@EYZ(>j-dJy2}L1od`OQnTGzv|9u-_Id4qo zb`emH_?BuTEf?9{5T{s`4$i)8w+*}uz1PS{dLL(%576%*>*;;Lcpb$!iuZLEW#;*? z)$xc&Ca%Z0INPpZT=}jLI~_=}oLAgV{aWb;y{znu z?>sC$7@U{<8eET94}XGQzImJ_({~bnazD8A zS{i7%9@rgvSudBkzB$7Bu&h|*U%tA9ac7=kbFE%3(BRHb^nZ6ws0+R~+FSnj_rDDM LF9ZJ{WZ?e*(y%~F literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/15.npy b/MP_Data/pose1/10/15.npy new file mode 100644 index 0000000000000000000000000000000000000000..bc2028391f1a67ba6be7d3e384f978db4c706df1 GIT binary patch literal 13424 zcmeI2_g`1H`~Ksob?-f6>!h@<)@_N3qwY~H;tEnwoG5B>VU*zpHzsn} zqT(K4+}6DsP+zm2uS{vs`somhjKRq>Kw+{plI**Y2eDrWG%_d$V`^-)JvN?WQBY4c)(m z&@MlWMZ2g*?Kay;w40RTXlL)K-BzG>E{EQ9&#S@H>G^;C@I1>!?P}CJi}q*xssD|= zsXg;~abgnMZQ+k-=WY9yBSaI;-u#T$N4vX z@4Bn)dg=_?(?1};X3=WIWz+AWomCs1;@U-_|0w@lKXT8>c}H=t>oz~(+IiNR_Z$}k zFPwE(wSU1=cjfViZn}0|Bo5=2lUF?kFE{>;yUN(*7{7dc?!3D<9}k>%SFvf)bLg6- zy-9L>pdb8YUEe2;tF3w8xvNh1g}=C10r}Pm`%XD7j``5@zx)5=p4X>h@w|Ch9R0KL zx$(TIKk&9|=j*N^UouO-Gwyj?#_NTu9yZS~T%%ePD3qJ8B6Ja2Y&r*XVGg7MpA?*!LwSFCL9^rF~_YwpUo>_WTQ z`}<0FZ~kuA3fF}vF)!xN+@GME+It?jf01hLDx(wV`GIdgx_hy$(PVd31LqgQeVHzJ zUXR+CO=NHr)erMxjvjjaea5}qG84~>n;Px9e0i)x)$P+k*Uszqr~aR`&F-ETGaBD< zzSgJEUDvL+2jO`&y8+sDv!S?W38hZEb}_0J^eXHYJ-?yH0mM~f#!Ec^&=+-W8>OP% zm?DRhGM?j4d~UmT8Pyc^FSh)I`7#B@EOhPiO(R+t%PqzKGRrE*)sh;-(-vNL{V=(H zf#c?zJ6I<+`(ms!y<~)ToCVY;|7z7K?zux&J1#4F5N}$K_N8-=6QR%diF}4UqWXK~ zLH^xJ&_3|>J8*HomcLhqj~eqBdL7*BqPu4yBWF7wUgbWx+%V(<_{Y|B9hb$Eh_9P~ zy0Q_;lO4A^n(LK;F+eG=1_x=Ir3+Iu~_$JV^PlZvZ_Q{i3&PP8aJ$w2S z)o<^YGaOgdT0*Z%t^(&vdqq2LO8h`RDOoW-GdPywm&E16Z^7kHp3uub$=`-4aMpX? zIOikIHGq$(*@))l!hD+x z_ARsEg1^(Vym8`bY0EPUh1JT+T=ibpGPYT!_bR zZ%jUg2efv2@qRSBflpC~?De0de^HlwZe2iK zv2t;wU(g%e^x8hv`LO>=fwQ>E6z|8?gB`c=pCcao^&`Y@-sf6{es`uruTD1s=hp_U zhQ3O3_^RKIV7^5EEJGYO^&3Gio3Et(Vasmh!M5oI&JR4K{4_ih2Yp_e7rtpKxb>bu z`_gB$PQ>#+N#Ek&P^Z_)&){RCeX*a|DxQgss~&AJ9_ITFb*_I+nhF2d6vQc7H>G;J z=o0~M+9JO?xj5dR^2iaq5A^4Q;BSBF2))^y9r+Z+-@@Otdq?99I*$5R@9u*0;XBX| zs}>*V{Q12>@VCYMDgR9tZt}|D>|QkG;Yu^CQ+|8ve5aRnkJ7mI3;>t46Nw-Amh`{< z1|J#fJJ9Jxawl+6VKF!#8z17h@fw4B)%-77?>ASBb6kh}KrdT<4}W$~kbk$6l()^# zp;v$Or}~N93$Fk60k^vAT<62Hw*XfkJX5?f?$!RzzrerO-x#mS^#J*_br)eB+1XPm zKe;!agFec08uaJr+`v>Q<@wmbpIy6o-v&N1g67c-nLWpGarZsqXEA@$yhU%rzHR(= zQy$*tz_@ksM8qjxM3R12Q*fL72kJp@TuyvnU&=$P7o?x(O+IBeLNDKs4|Z|dPkq7F z<$dHIy+k>#T67~GHii6q?;q*7v^&A&{B)}4tSQSKH`O(`dE1ushmJ&oKTHPKD`@@7 zh&=QjIhP&l(Rfv&e$)Kvy-A4IJx?K@X8xY7 zUK!lPe~b8K&R&>DozOep=~YMa*NHRGuU@c>-Y?DR`$Y6y1}>`3!aVY-7X7kn+u_4a z3f6^fLi?=^T0?yJILr&5dmegwIR@MgPKVwE{Y!a2Q33msc+-jMWa~n3yXye$SBZVX zT%7zxbNKK^X&9Fd$$>glcfX~$mwmwc;*Y)><;Kg8{spe0%3^()vy-Uau6#pzEa;DQ z%GZuU-gsOW8dslA6j%MkP}eUTPh7U{NBXUs@P3iotI)W97>9LgZhTMmu;&f=_xSy+ zi$ne69qD}RWe%>VMd3Zjdfcw$+FAY&w0=8I!2WOh?3;||`e)8>(VWopn7eHp=Y=O? zTsDcm8(GJZy&Sh;{V6|hD#AxR9fJ3lxH$z}6t;J2 zR(Cl3Wu*`BQCF|@cU(0nN#ojA1A6wvFTnZ87O|8s@4unv9?`=c*A1V7+aWYAKI;Lv zt@;h(5i^TJFMXm$JH480z-5;z7_XgQ2YI%K;t;288ISnc_2^kH9ubiZaf-C5m)yPW z``2)Hl|xFS&Q&n&+bZ(2mCoN5Ye)VMdLe#pyVClq+?m!(w<(n8yZ1K3za;Hra{fAS z)vp5TL9VY4A5}N=z5HI|ea(DMQoSYJMLcSE`bfmHbS(5{*q0Q4sOM4_536;X&P(}Y zaJ4f(ZE<>5u`=}RS`vKNv;uTK)Z4)|Uyt~O{2J$2QS@`w=H#C&J~D9 z<_O1CwOttmed)5uzy3)3jOko1J}Ev z_olf2<&^)?&pJE3F0z2)oAV{O=-mtF3jU7HMe4*I8h6B`@$j#G4F0NMA&f&+EHT$B z!$(!gd=KWli?~dOnG+o6-BaN&PtFBrc`6|u-g6W<_on?ouN}A8=~?_a(pB=qKEQrh zMEn0SFXVw&PbL2iG4Pi+j>3nje28Dyxb5TOlppB#9?|Uq<+)yJE%+xF$Mf=e3b@Sv zT|dW7^h}J)d@&H*HjbSFy~&*KJ}t@TS&L52-;~;hepU5y#4p#ObJ3x(G_FhK$>(On zVNNeMHz)mPZNS;S?fo4WCn^&EHXNMa{I#9qHfjL!EB7Z~^m5NHlWX18`hEvJ^D2Px znxt$k9p^LaAU|ezB|ImVJfG)$|wS-fA=!{^{Cv?RrEa>IvT45oOlyu#JY?TdZSB%a5;_5GgupEe=_aW>nBd-Kgk zT=|E-{)m%RL7j;{L3mDoid*CKrgjnN^e-{!SCx+G?6~$_0nU87VBfRB?-w{9p0gG5 zz|s?_y=FY>S&wRkdv%(=SJdG0m|vaDY2G_a8t*lR^~;-_q<*uGrggk?D)u*4=P>!M z_?6-<5sdm|)o5J0$s1ZP^S9!>WRLwu`alniOVv=&tG99B_9T6eiYnXizSeh!fQzzW z@ZmvXk{g%V(-Yi`91m{Sw43a>D%BcXP8~=*>MgiA{gLut?;VZrS!wv#JZmVv*Z_=I zt?Lr(@+s%dr+BKwqOR;O1t|VU^xb4%wnqL%iLSko=gT#q*T?+8b)iv(osTI^=N~q_ z55?mh66W-J#uD7CR60-EwS`e9V&@Y0s0RW*c4Kgq)61j7h|AL$hdlfO>xktlgZZ^r zhtm7*Y4Zf97thZ^Z@eBNepY11V#it6e9+70zY$lHh5pSI=y<|o#3_nC9s_@mGc?}=+7XZbx~W%&kKC4% zd?ROL-RTCUFkkj*NpS5I54{;T>nG>Ki_-eyyO%>REBT{NY@UnI@ydRfN0IQJ>f{G6 zaO-h{`0QK(&d0VtO8(os<0|_UK>Vg9-LqZKkO$lS{A{O}<6_9a`5d}7h??Ny*Ds&o zUQD}#tLgs(&IzUv{ca=Io}hW(Q0Ob@PyCDe)86#GEAAg$;JE5i7tgC&e?u=TcOCCI zpB4!{Yj_n`b!x{-$4&l?)L)_D;I_?I$g}{6hhDFov(j;1#gq8;Q`m=Xm9$Zg%fusyNAhUe zpIc|6b+>*XxV=l;=?g7x)uH2 z$O=@4k2)8FeL%OR^MiT)FXoZ=p9jvpqu`?pL_lw+zo$C!_zde>JgE!LYR_Kb`c*G- z(7v(tCvdS~BH~dI^ga{MPtkmZPxf=;lA{N}UzDfcjoH$Tl%G?R!EKom$d4LyV}kRS z`ST&qYUT#`sM8~VbUtQJ=J#slC~&znXDi3mfcA)ovoOjJU$o5m=na!@yLRnenc`X0 zgw9v>`_q1vzZ~K>HFGU?di#mrae8sP{&{!htidLCRaGqXYR+r;*yqa>bb+PeFLpeq zIIC|9cbpaK0?r>?BVK9EH0Te`2WK7wz;%$B@3>Cc1bJ zb^REpS1ayQ{QUxn*QhWOJ`MXqFOT*FXLmP+J8q^$fU7$Z;QUG04CqH61!qAQ(61R* zV-ftD6a&{jw2z9RDWQ&w;CZAkmrnf-%Dd2UcBnJ*rh0k9htp^XnMO&$yf5RyCaMxJo$=ZtHo2 zvs;_+JAjFOK|C=6TyJEkEAws*`Io*9E)NyNcPszx6u3Eh2VB)E66*Zz@b7566X(}H+1Xo+4z_ril@h)DI{utbBD}e6~dwkj|$7R-j@KcsTDM*H{Rb~_vwVLK>( z{~MHt5j|s^zZO%$g=aOaU%BmzxsJ=<%fjD|q`wo1<8kAhk8RGtS-qFkZ<(ZFj`JM* z!OhjrFkZWQ?G*5infbr6pZXow0(GToKc;a_SVVa%pJlx3*Z%s3;#uqCFnu;-(( zUbO#e8dv!o$TL5+XqJn|w#|=t)U9;*$bvUVA|8(qH6uY08T zYB|{HZR=&=e9T7V*%Yga_lQm23(i`mQk?YyLYxn;5C^WK==W@KsSM5)I&uj4ME*zm zT{GzSmWH#)=PI2O_3m_>Pjv2R^2z@N-ZM7l1oB|*G;sOgI^x&0D`UKDUlM;b6`U7K9O1a}pgI>L7SVb+TLAt%fc9b8u^raCIW%sUSB75Aya6AxfPTl~ zRRd}`&bB-O7xVJMUsSHq6#m(0T)e2lyxS~;Q9tS!?YFwkci?7lgGo*=FHeLIFWwzo ze~O0QHhf6^zMPN!O---U75#>_Mg7QC@4$uU@({;mn_Co5SP#?#uRJRf@f2JHJ?rC< z;&ghf59*(n3?p7L2piu?lbp}J@f2r=AgpV%spc@pc_oU+blHseor)_n$N9@f zIk8UF^VXN$y*+wjnY)_lG338^C-gS%1tDv9DR(+GLffw7B|GUQ@VGxTd}Zh~HxA4B^?$A^@k`dpa)r)&sXCa+ChY z6SI>tc*ftSDb9+SzxVq0U+MJr-81U9*+k?)RsVLe<7Rqy@_Fq+^~ML{Tq?b`6W>pD zWuLts?fg~oHt^?7GtYs(k9NYpbLRT35c-Jk(d|98_iH^&)dl08d-j4WKJ`T>qaLg zW4yJyg0t&Op;rMdraI2Ygn;uRhpFG`8>1Z;S-(d-`d@{4S63!)cij9n2ztGje%DoT zS8-ltQyw86mR676J563pO3Kj7g_(IMdJy>+P2SFRoR6aYN|!1Jy$ng8<2bv#isIpY zk!Lt?=zCQFH>72$!?E%+UM&xu{eDcP4 z&HXCGeXsaCKbtKZ&)+qJH=>S^z1Uo`ADzH z(5tfa`#;~?HViz1zF%bj^XS(`cgW*>^!z;N*PJ_!I?->pU|pz$`sB0gOIk%IOTpNMBiL%G>emCB8!DWGim>1b#DE48V zS`YK0E?-1E;!!g8ZE^Dq^d`$z=vn8Yu`W)T*n#wu+G8Ho@s*n$S8NQ$Q)DvDZ`tZ& z9B0Gnd~W}Y!g}Pv&!b%Y{49MxidppkHf`rcOB`1xPGh{P`)1_RJ`I`Yxb&m_mW{1Q zc|I~X!Eq5j1A3No2KGJ8hxPW#;HCoYt9)x!aP`%eZs2ztAWn7dGjQ1=HOO)O-2`wE zo(tTjmY)cH(e=c=8-TOIgON9N{vW5c4JLj0TrCgTd9PwzJT0WOZ=k9Zq~g)(FQ{WE#e+mktJ(+Z$lr*}IwNu?NkF z$37VC^mca`^rl*IaJ#zc2*-7vwuqBw$vnTU9k>hr%T7XX%hUHb8;~U?$@w%5rG9H2 zr1N2=k2wFR8+5)^Qxa)j5*}e*^ey^clMz{|&O0P(_`IX}64&UvTZG(Q?zoAe_qZNb z7J6H7Ccf8nS|G(=y9Cwe>7($M%X@)~=8cKhZoJs}uy$j?x%X7ei>SGLl2-=SrTT!g zw|{`^vi%a#zk7-*5A)eKdG{0+ZV&27GG1uwkAWieQdmGhB_4D8vP5=A% OzYP2@1OGo{;Qs*1C`?TN literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/16.npy b/MP_Data/pose1/10/16.npy new file mode 100644 index 0000000000000000000000000000000000000000..ab0cc85b58ade04e20fef8ba78dc7baa97873515 GIT binary patch literal 13424 zcmeI2=U*4c_x8sUC6-vQ*EKc}5@U%PB{KGku@HM16^s=XEFhKv)F>7ZM5U;Mz4zW2 zHTK@Sj*27}u(xRR$6SZM;C_04d9ts4&$ZW_Ia7B(#J2n0r+v3gONSKd@?j zr>fV0dR0B0ssn}xjtcA>&}Vp{pTFhJ`wk8A&*VV^`;PF>ymzZnr%p{zcTZ=6^Z)vn zhh_eyxjpdCyzsaG+^|+s4sV5xnu8vw@*X+`TFEr zwp?blPvpr(?HlWU$LiF8y=k`GNz97xgD>Kj8$MCFX9&t!7?nGFJpZxJ$*|s!>{aI& za^5~KT)!Z{{NNgjtLtNw%a+A1+H#ZYGs?xdxTp3xUVS_6O}nGVY`IgrbeiS5#EFZz zu3nyDudKj>`?g$t8i{@rMOHqu-25K+)?P(eDYRd<4!Ugb^|?l8QNI4g3ww1MMZHV0 z*9VOe4{Pk7ZaKf7^F6M2io&0H9=mGq_26tL?Ul8z^3q=Ap8U(|_@N4%7^Td3Lp>^h|pMuYr`s6>TEalN<^a{(>LJ#tv@B`YXJpNf`xi0jTeA3b| z-%Z%1xt5!A#jp-&@daF-Y31*2eU3aOeVrZ{ud1Ahf`5fH;_HT9u{!C!at?UW^!WXTxV$bMi^< z2Co0gGs|*)y)`&1y%O9B2}hjHYajA)&58D@I1j{WdbT6(SBKWW(>$ zQzsxEUoYsL;yrXVVmyd^2gg`0{>ul> z$}}e)y>g)CEJqaL5gDndmz_8q?45~q(cdYax*oWS&!Z8)NqGmox_=oyyi?skt5@YW zBX2s#M);UrkCs@@&l(yZZ6xv8A=52)YF$7)s>*VVe=+iXL`o)Soj+2&*?Z7)zx+Jk za=A7a`cW-&Mg7{xq4DOqn&KO~7kZhm66S^aIvSiG`yP7vs1U{p|9Fc0KQ;j8F8&x- zqRK+@`P3iWS$J={t=AMSPy8=;%3rApBP~~6c_<$Ldx&4(FS*=u=glY5=dT5BCegg+ z>l;yhgHEBpoMzVsL7(UaJ-faP>w~-!j69ee0-P^Mqx@Wcv%u;_bVu@kJq4Tz#^+cX>UuHQk(*}BJK4P4+&j)8%uE$(JoO(zzigWWI z#3OIEr2Z)G(Ed3se6F|E-xy5sziJ0PJD;28W3hLXuM;1^^@}mRtiR~^6kNaEPx)B8 zXb9@v9!&k`F$~=7YPZ4qGZh1W_1CYMrz-RYt$X`Vg6lo~!JSuG>tT)h;Ic0HJG;Y? z2Y!*pvo22igyz*~Uc`^3_BOjnc^H)tf;f|U!iT?WK3GXo0a#MB>@zO77JokCC*m9j~Ir(hwNd6mMO@;pAC2;w>7dZ2B zpJ_P@`4;Wv&)mS}n?Ur7Q}GS-&Y9WBtGU0Q_BFR`&^whIQodJ4Mq3}}*Kfc@cNcK| z=Lz&956BJ9`fecqLXAlO)CF8`9YS%|*^j)jUlyTWmN*SuM?ITj{dvoI6#s#x;B3s? zX_l+N>EPPu2KjGFiL_kzm_Yn*TEESLYS6RY)xpK1w&-6`uN3AlzqAA08gQ(sW%ZNX{jec~NJp@->H^7ID zD?sOgs8QfNVkPlE9#cFeuao{sB-K0qN9a|V&(t43RK&U@7F0vMV#@+>7Im1`E2sHH zHX^t$_K(2Cg4z^=9~wRBy2Xn5Rm2 z!aA?dcY(h%x)YUm3kik)ceLKh*?pns6^mp1vuTx~m&3=SUUe-F{VsF7!Snpoo(tZY z^{L}^X#HI1fU5_yun&q=vGr`ZnDv$Vujv%5|K{`8aLaj}Y7|ewywLOZyrbo^!9=vn z+>O45=Wm=B_R2;Kgr4XB9zKqH5sVZ4B@$fBjG?^UDx*>|<>u4?S{G7_AkR+M-O=zn z6a;^@Cnvc16oz$1k1UD!S$rMhH_!UPrwa9#ewIP;AN8a>f6jnj-VXz38#{xGdp}aU zdY1%Ovk#26J|aaE-|{`$tKCx3ziiWD#A!+_qxiq+HOt1S3*|tZPHoDAd}eLdjscDp7-R~WPRBBKG4epYbl=f6==O$ zMEf=0{si&J!G`)b`6S|z&!3@R_@m-utdAI%HNSF{gWjp=wa~^RH>J}&9g#@&PkDlR z#j8rFmn}I&{kvu#@-HrI2iN}V(CU)5}zn3Ad2^-4e|ygpL?i)@{2x$Mvj{j270K%Pa?{8;N_5_=+U zal0z@%g6LKR?j-m1(z?~!JR8Bdt0t*)BZ00dWv?a<9rf$*^A`gq9oeE_FtT1{q?!5 zeXwRK;$n}kgjg=8KcsqPEV$!RAN#3v9S?5KcLLX+lH#piyuU!td-lURz;<21x^2Fr z_apY`7Rtr75AZjwkHLqPcBS?%3ih>eva$5N$GD`^_?bDaG2-lB4A1lMtKi!GxS!>0 z+)T7fMhAk+**?>t-}!|6yR`;aD+@QX{@i^F@gm=Yn`2Y)o+7@C1J{Ks5x=r>sMVY6 zS?88bzmfmG7XFs&lNF#hd^+(W-#4*bJ@^CpH3{^d!rT&9dt1J$HuStpF|=2P`?Ry1 z&8dTN!q-;7bE2!)T6B74})Smd=6PyBx-q*!o~T^qn3cKPI9x)$iek z{l&-^;Cgs5#3|CM;5}5Ap!X@KAe~Q5t`bo;9w+H0wJXXS&pEZXgj;U59mG9fv zIc%`4*Zf!;{tgYjO*{e5t+5|7e#e*G!-IqvF-erE}T&|atY&1II$QshpPq#i}>;?GBd%k$MHTOa*XPOA6oe`uecT?0P4`WEQ) zsG(>tujn6u_EwA|eUmthE9Di9IK}0xbNho<$iHgvzO(h`$LYM}-0cs}HpF^aAN6EB z#aVp->M`LXB=meW)w{z3SI*rqPGmw7^ya8Hd>plKiq-2kbpCPb(|fJRn-*xf_);4E zt4jZYerJ7ZCR=XST!fFam)^UbwG$F7caG<$dEr9qA>Y?H5&nNm=w+@@TK~(r;5_ft zqVFUop3dXUqxwXvXH{CkNBG^Per%j?0_x3nkK*5+4lZwAA8$GDLEkrY{r2D@sks~Y z{d~}?$1#|9GJF#HMY)wD?zM>gw{PwX|Mx+-*KLk)id=8=cC5HQ>ALZS-@DYug zLeKj?BEE7D)+HTu8veQioy+)Df%sXaZWMo?4CFz~zlHTd7mkCE>`D8B(_+FnZ=27N zuZho3!hJtzJC=OOS3 zjiK@C@c>s@GkB@xI)B!BTbkZ$&3|d*tiL)DjQH7*3m6ZoQU>BTLG->O4$!$>m%gtM z&xEn0-&6|ubc*=JTdwQT{8d5Su#fX^7vh{F^LRqfUC&;%amdeQMp?aBdW6~=9!0!i z*)YqUKL>-W57FSdNfMoB0!o9MfqTF?>x6#PoexrecwUTu-Ju)Kb+S*^{7L?q=40}# zNw$6+wG;g+ihI$xO(?O`UvTHhV(k0QgjkB_O&!u_ z9PzjDtML!OMdjDDzuer}58R8!r{pWaS^wKTEO)xMM1FMNe&8abCDsSoE)a2=^xBA% zb)UT1#^YS4{EO>8$iEoY5$m?dxtV;9zD7JEKml*oGD?CuG!8Z294IeSg-zs|*W z;C$G6#3M#Fguh5XOa0|l+t0R(N74I&;q?0v?=_%1d`i)Ij(^PBuVa>uN4@D;@1JZd zt)CZ*bhAEs_a*eBNSy(04z+D>x$&g$wDRvU$PX(ta*_3skL5#KuEu(hzVSJn_f+IS zTCY|WLHxRgdxF)Q8|6~r_iYor$Ei~XHrRXp{2uf&{v&+&oro~YW!qBlXI0-(ob{6@ zgCFVuuDjnS{qd!dmb1sP;Bs96xDf3y-(|-Q%c zDvk7M1Ho0t{$nf`w|h}MiG7H_x`%i~(+F_WXF9myeL$_uGPXOtv@;E`DnP?yMU%GbOWL z)#y!Dex`%-{xc_9E^@9T{cZYAY(~DEW;r{04qPQaA^)KlLoAo)>LE_&b|l6f^OeYh z{%aWYrjy3JGkbntX7x@>`aMwl76NyQ$mN#v{ny~bhCICDoq4Z6Ma;2RrYIgKlGD82 zSkTYvW&9oZ>#{@Pqt%l+;N@?E^Z9wG-ba7YIdjSd%JY`B$fw#}6#c83_a*&rHNkb^ zoLC`w7)MJdyGi&WX=) z`sGF5^vy@)v;K$W)`$0=O7SGep}p++@L2fV-%IiDSO)GaoQHOa&JV#IvmabB?@3nA z<5v*>B|GxWN*%_zm-VN1v3c2$XW6JskgZppVu(|OR|Z$Z+*(>6=JE+XvSvE@?^rz0 z>Us9X;5wbYx2P9CCR)9|dH|dccnH0&5 z{M9V-sdx(KEA>lRD?9c-9*Ri^3JSQRLtt%@4h9Uu;reJ zr_D?9_b&{t{QcX5PYwYWKZR1iMC_+RI`u|^n_c^$oP8w>~p67ci>L0?C5vVJfs775{)1B&oRbNuqFR>y+f=0X2YIMv(eI?j_i_gah}Q$SOkpXql% z)i5?8CG#=)*c@;`A0oPC)%-*UNlIk@<>F8W1Z_r&*4*`W@& zT3ZWT{u@c_n0|nIrTUlRDb-<&^-%%K!S%bH;3hs+fY+km1$0m@;z1*#Q*6BfO({-y z`rgZ3VwYMy^UpxNa@`c$Iw|71l7B0Q#^KjcI+woO0?r4$N1Q6X#u)3bzcz=z z+*Sj5Hv3BLwEpJQSm;%y0fQ;fPNT~$p%T(tEbPPI3t7LqxwZowLYq96xG|;4?bc-d1ZZg z-89O>cgHYKb;KFuhp)Z?&RaL4@!avhHP%Ny_eZ@BYYrdzy!B?wwJV)(byZsD&4+ob zQSYE1p*L^eWBi+--0Q$^RD!=bQ}w>RH@E+o0-r1N9Y6;)MY~kBc#Jpp-QS4ci3p%P zM2_v5V&l2vPI-tMjP^QP^Wps9bfa}Ze;p2P0tU~t{?64Bs8_6*P5i=H%1>kgisx}- zTCei;^g%plXq<~aw2$ybE0)2>Ck64SSz8dlGrlc+bnPziQ3J|=t4W0yS-q?>m+BpP z5c%XA+QP?VqjvEV^qo!REIS$gZ+608Buqw}+Gh;7@=5^LB`1QjZEGn04+T^0bE?{J z7|+hC^kjQ)Jjq8N{~J8>cf4@KQme&f{~zc)JORDgc{$4JMQ8)WBL~hzzw-(Qw!)|F5X!@@9>=d;VCx$i@PWfGxuS>@H3xcESHOE-{gU%p_h*v62H8H;tvzZv&mNo`B(V{ zf~%E>!5wjWu8l`GqkTv17>E9nbBlJc+&TFz;%9=s2e5JTG0xdP3lNXPyb!;1TZewp zdk0gTihd6=U9QiuaXQ_LpkDbm{hy@x>=TQ6Lwi$y`QJdhWd56Yui@F(P##jNVjPNb zooOG8qVp=R>I=?Welywn%Qc5cUo4UIYf4N7A4BgivJU;93or8r&NIrF&IzKPH}aq_ z%^Pg>x?cwQoPKfF#wTOPceGr+q;nU~LGLvzKDw3V{0N=Xc(;Slo4kd8wVXvar}i$U z@4LKax4zbor7*OY`_Z{t{!o6t<+@`JsyDYE)=7~kc#8FL4)p<7Tj;yDsn=yVd|qaq z2Qtbb|GJuogil1)xw_pg#G?-H^tL{tE%l=eK8JCl*DOhf&uQ8(#18r$!MU+{qSY&( zj}%XhX~>TncBY%vJH?t(JmZcbPRDdyVD<8961ZOFM(a}16WDjenU$pf<~V$W+r|-A z&q9VFKO)a2^cTxFh1QKUS8#TkevflX<*p6?w!e_Re|`9H-v*(GXUJ^I^QH|LKl*Wt z(U$YeS?8aV@w9)H4)0;PR4LHwH^;zbQWeZ!S>Pbz>;*W?Nbww!mFMg4MY zGWKgH&(x_YnVf}e24~GDBX6QdQj+EBR@QrZ)EaQJYh0}5Tu}eAeZ|4~?zzd9o7|D` zajMR|>TPxIb^7Bvg}$HYrS9O)&0&2k7hULmUoCba{q-jSmOE$ZoXHyG2ba_CO3U@R z)zq%Xzk-`BDcHZ*tdqoR*TMK#ce5v1z1-gy`C)esVSJjoud$x6g6p7H6Kl}8-Pb6N z{6~ZH|3-t0ra#TL+=RM=>$=mxd6DyzEmx6u(O&Ur1UO5+I>~Y|p3Y;kQFG#DMg@Zx znFu{^TmsyAcR9#%9@YYJ$~gzY`NP?}EN8K&NPqek<-dGMypNmH!Nlk7qjOj2RXYDv z$a?>}9S^;8{1y6zH60GUe(?cZl-{aRGVN718V|y48}(zt+r^fPIeVZtFG^w@vIbis zp`S(H@zmRV;9|jb_{$c($$tXX&M}Fdo>}AnYU7>VJR#%fSCK J@c%&u{tr8;SNH$` literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/17.npy b/MP_Data/pose1/10/17.npy new file mode 100644 index 0000000000000000000000000000000000000000..1eeb395e3dc4c15676e29dca53fc03324146177a GIT binary patch literal 13424 zcmeI3_kT~x8}(b*6sqqjuwWetf0i58M52@|3Vk|+_ui5A@|yR4Q8 zt6SD01Yr<;mDN|vleunx!Sn0$_~pFLd#-cMJ@?deJ`vZcr%#u@Iany0T*YtbIN#tZ zp1evE|AtlEc@_WB!Q+Dmj~X;O*l(!iZ3YL88=B3>4I4aWX!d>8IzRnX*S(rMkKq5e z{|Ye1c%Pbgyt1z<>q5G{idjV;rDR|Awyfv&UO)X6<#K$UEB2n%nfJh!vszT{xL3Ff zzUWJuy^2qBP_DeFT<#1;x$`nNo>xug(({d|oM(-?ZJ%>4hN7G=>w$9a`qjVJdxP>7 zJ5X-Ix{!Z;D%YQIUh#@8=k8Q)&KJb=)} zpOY&G-LqE_HsOpd*Zd3eD^ILNT>8jMDleaK)|QJxpHMEkEqY>~b0T)(-b58Uf$|<{ z(5rQ)FWPc(GB4@H&D*wI4cdgbSl^BR*m4uw^^Ltcn`_*(<)+oFOZJ|nojzr++ULj% zd*$baK(gSu`-}Q4QC+{&=3R$UwPvExQdo^+qvVPgkbr3nb24_t05e&WC=7`gpn1DCa)z$83GN`RjjeIa|5=2I9PQ3gxER z&D|;4*nB_cjxEOjMDDRxgh~B>uPGWvf$z>c?0vUZfEJX7UBg zdBoJImb3HiP_Mqe8F|ptccWcS2IWT&d`|f}@*&ph^}H4o|BnUGpW>Up7g)}hwWav) zcO-tka5VhybR_?7@!+QObj0c0?*z`Oy$9EhJH_eIne;rFYQC# zoFbdaCv4>!%h{SI7$0WYMB;A$%(h$%yi7i&R$=_}N#8}m-{&Lht;A*HV;^hN}1Y0gT7NT(#a1HT0zua19x$OUi^haudv*GnOfY0-R zuPJ&2{o;5(NB&i30lgT%8tVfa)@i!cv%G%9M;Xdbhtzn>`Ho)TeA85_w@)C}C6SUJ z@u?2S!9|XwF;*|~y{34gy|JE%-=D07Kkov)40w)lE~odM2mbH|;uLusBTm`S9r4J{ zU1^@Lbiw{9Cv{xxmF+J}(m6)8Z%gAXVld73Q6J#%ynO{Oe9QpruiC!=XD4={9+}i@ z6!_+F_&d`Ass0-$u%ECBODX=F9+;>6>2~z5oc<^AlCa!C!@+NBlbfL(+F|LhH{o znvc3k7jU&~WQ_G;dD@ZwS+&2tvTsG&sbI_X>=!g%E8a&wMawJWQ2uBh^rCe#&NqBV z`B_#kI^Ba_zYRe?oq%%zRc?La5LozjoXgvS6eRrO(x#34e6g%r#zHM1LtLGfs55m z=UcsUElBNMT$cEKfAkCUd<(s*O6LQXQ6kdno!+^iXTLT;zLoppMTlp3UT~)k12;|n zL_hLH`N7rN)$lht+d!|1P`$Fq&&2;Yg?-H&N^!$AR%tzHal6YEf8W&UNK+hM}Bc9L_{m2G;LeC@DVI3BWt{|Vh;@F*D z+4aishKOJPHO0*0sFW- z-I3}Ynuc~cs|#QpvMMxQ)x=MjU;6v06Ks2Rsmq9)-7by!Wm>f#i+1_dgFpA`kNINa z-XfoRTYvcLv))vHLSneptI(drYxSl1b#5osTfZ8`zdQu@dVgpK!#5wLe2y!R_UfezDbKGqB2H%jofA}!ar13FYV7|Ir)f4DdEljH2P4i~ z+^`J6PwBR%dT9u+V;#QLySG=F(8o%30q*NN6g?EDw?>NU%8 zHHX&!V)c^KxMJQZ@G-rjhJk18Lp*%cD(bI{k4e@?x)(#9oxHSf=sgb?TfNHj4LE!H znEI_|we+&wb3h5#0H^A!6a!%{aZ=H~T{%!6RDYo9yAP96lGA7B~!)(2>;eGNCSqN@k&V$}LJO!Np-G!bjb2;AXb;c#qW%b88z*;bz8>Me+ z%0o-quUPx)6Rh5RI79v|iy(eo+oh+CpFjHuu2(-op5??d&7t312L7t$MH&zO%ls^7 zZ1z9fZ zwI}`dw%{yj=updbKoxM290_hRTESo58HxNFk1J_jR(H4KCVO=%d6Lh{qG+!(?{){v z*>ex%hh6#(&#C?Su`j3t!_Zz6a}eCQ-3(oWRi;4bduhB;8IrKkJo`Fb;+LS#WtZ z5%KbCSCI$Z?hkOj@)7Z4C6H(7Lgz6y{Re7SwQq3_bUc!vS6jw{n@?eM9=H%nyw^nd zu+mq+mCI0YCnXGAUw%yMIK?7m_hN-n>C9tu4K{DXqOr&!Fiw7l>ez=m|yZdotIebAaJMD5-;ncA{EtJsUO92 z_X5@pXYem{pXi3G2!4Taq7zm_FV1+9&+G~_Z2Y{-1aN25Y0BH_8sjZjrD;DB$wO#= z{PUG#xt?^H>Mdz#UgRs6V7ZgCD2<1wn`nL5atWM|kAhx?htT?Y^*qLpe&qwbif%#m zpJ+Z6@w{mdE(%^jJnGP+2>5rpP4!Ntb&kzR2j`jeeS>Z4K>fSETua3HyeRZ~?mWyp z(IOuG;xw!T&dbJ=|L;fqtX?#nK=*$oLeKvG4(DyPgyxsiejv@$hgYe8M|^!h+Ll3l zZ|@PP_v$%nPav(grpDGOmaCToh(|s|9@yLc7`LkN*L`99Le!uA;bekWwx0K(^O*D5 zfQ!^h*iW5OYv}&`N%XI?YG-@Y`?@gh)g$`u$6WVeKh?bj=`TK@@lf7`S%2Ls9^+Ny zy@e~^Q)sQ_!jINl{caSv<9dCv_2)l@BYx#_7UMyz(THCh-bnn#W$erBr@a^_PSeT6 z_mrglv`UTT@DVhB)vzAW^V$JxE!UT7L9f$JU>#;#H;%L1RH1RHV`hPiMd=vl;>u{W zi@VPTSMU8XPgS>y;B3WC;@do-*E9b_``LH7F#d(x1f1*mpJOR+cWTnO{Z>!$%C1+A zOhLb@M;_=eC+8o?kF)JL^k!ydW%!Ep+8fc=MK{P;1-5BMRXm+X@cAC zL_7;A|9om&X(2|q<1YtK6)I^ zZ{p2WaGgo-zbaoSxJjY+L6tU%=FyfsvDRM~D?sx)tO~gPd+ZwU40;b0^V);+oqmXi z52kg2%{W8-^|q&z%gnId~*Wiw8`M%ai_|62E@x_rJ_Uzqc%bj28`=Q#m1$rJn zskikpH*ejtSA8amc;HiSdoMQ7cUpBR82RBNKdyvN9(C82%VO1_*9YF{I?{60v<&>&MQWF+@+Jz;_327{ z+%4$Y+c$G9m#1REd6OXW`FH#h@Vnb7&zrA<^GS}fT$gf#-ihvvd7*W_2=KA@N&nav z+|=nCW;ypC2)#(|2hQ@3nqj$!oJPFo4B`ua#QwtT90NDa(^0P(e`7iPbGm@55f?Bo z&GUkIzfiqnz@6Fjz1N&Nv()P43m@c7%=M=D6YAjoLe>5ZJ?q>XT)2cJA=0UH(%_Bwp z9(|u@7q*a(a~YhcU&H&j{P8@vsAIs*qR$gkvfJfk{X}uPMbfzIbr5+l+eVQ-_d(1% zP^F7aQ?Iqt*b8^ueY52l14uN-neYr$wRNk*sFQ56?#^=DaNhSf9VkDci#Ya zb_}C=Jt`^2a_yB4ZYt#k=RTfvUYh(D{GCh5wC){fiuYDCYzX;(QxjY?N~QVxUw7#F zff0zu*|n<$;yRE7&WcY5*E3@<4%MW`;A(qGym#=$H8)tj4kdr*{0|scd{CJgHcs)+ z4yre3HMlxg9pl#dzCYDFm%Oh0GEmM9aOJ5F#>$+esFO)C)z80%3+@B zs+4~{cQ5sC^9*{=8u$e5Qe|T)Z;5llQfwa1yr%XRdW&_#6gd`dIX_Sw{`z#{1zVpQ zP;(ltsTZi;$j`{9(?ca#&L(_;509!3u3q)_uv}!kgx(oB8TASm2lG_iD1f~2x_4;3 z3Tn3A>gCay6ld$XG|u~Z$E9R*XWIdaGbn-bzbXjd&79?Th`a3}{oXcHtzI_VKtAt3 zBM-8ESDbsz#UhBu?06478#(~rL)iE%=!GAB7u6FB`B)!u@IUei&V*jXw+OIt@^`C< zXC{$<*YgR``yU492Wh_ZDT6~0PvsTl?{ODC@^Ma_AJ~+!;5zm-#nXH^^;bd+`9Bze zbxc0FF~RzvoP5x74oUPY6b_HB@szClL0}zke@&KI2)9;mR!oQP|ht6-n**jW) zy76FVOgJ z8cw`>0L`O+Gw0ZH{mvI$R5*)yAx54X3jgYb!S!MKomZ^*1Lp^`jMi;kw?5{Vx;Oy+ z%RIvnkEz`d{_KB&Dka-rxlzB1X91Yk{Bk1JZT>68BRlQJe#bVQiLvz>uiUi0F&~_B zOze==mdjxaslC_tlD>QCX^68~3gTpslCXX{2L>#K&(`VC%afPryfpKduoT#UEu_JHzG^E&Z)%a&O#X0M~X<*JW#1Gtzfzo|{~c_(eDL*m0i6?Eq!e3}V&m~` zi8!4$^=bc_KYy*&v&v5?p1zUDgWOzU1$>tFg}**t7URuCx5mC^Uhbki?0bbcSw=YK z3zuyu|2^ruqU5>u!e`3_(!2RmJm;&{vs`4|BJTGy^2vYC^h?R+PB`t4d{hDSm$@(?Gwb$7y{6-Q=tb^e_{fRJXQJK(G#;E8lJZdF z)N0h5cn^8t-Hu|Onm?9Merl$Jt6KCP!*lK4jCh(3rS_(`rg(}s+-bSG_C4`=2Wb6V zF<=w;#Twx3<{KLS`*Ux#+?neNe|F;Q`**7yQI_j#^!F0xxEJL=urtP+lR)QExnl&y z-)~sIlx)38txEo$!>GM2i{kuXKG8bhtQbZ7&jWOBxk=|w=W;YSFX1}N*2|vK{B<7F z_b_v?R6EN}VK4ZLeQVHP&X$;UmOJZcA8}f5yKV3Jhd`W%^_QM#mwD_0E?+KQY0IT& z9JTk=VeAVmIxl>TH?7YqM=Ztp*VrhlSCjUkAK9wu;Erz!xVfDGuI`3|>+;Xgzv{mt znf5tRqa((%8JLxXdQ^t{1~_sRbi3!QF$689w&Gnoh#gT?S}vQ5tN^!9Vq?=(OAdy zZ*=}KnRT)6h=Wz9rPw$-QXX`#-zoq9?1{CUzn_72iEbsKm#Kxp#c%83uR{jXzMSeH z|LTB0xU-#p-&R?^ixE%sN%-(XsWA1N)4|D(e z_ifujk)AUx=dowV=PiBb(RE^Qo>5cjoFFbX zM1J_2w}DpAIz5G64|;(4tDcnVVYxa<=Pu`M8aNx=(HlItDB8tR_JNCa6`Oe_n?6npYKQe?L`VndM^s0Mx67NvxBq(G9dq=N}9%+)5zNtY5D&R&Vao zdBAj`@BGRwQdzEc(z#krzkqs8RC>#lZ0@Ayqda#yi*e!%h`_wyD;kl1vhC4=)8sqitE zXN|S~`cfeBqqZfZzeI3B%wKbs&hw)7eT)ZF@@Xx^bIt>L-h+PMXJ4vLvhm3HXmI1Q zndU{kkPyrDZCdwC^kOL5Z=%ve1a2c01+j28jQy%)eVthJXn+By=zLw7O zs<}eDpd^*tY_`vbqEpMe3tp zbm!|7XO->i5$C4!@L{EP()hW*aH-|8V+ZJ+*zPpnH~8g7as$F`hM_46cXg1=m{^MOwW& zw~_MT(unxyJ~%Hqy-tCP0rfC$b!3%9t2cQDBR{GG{hhQqa}Vo@c()mPm7^Ao+rx5+ z)$1G~;4*w1IDZ|!z;ef}8o2&%2Ie`AFw6r$#Gq*`nw~ z_}rO7`a<85|DnO-E$6%Gyd=-267M#8AN1!=ll~#SkIS`*ct0{p6Twx|K3Z3&jmNxW zxGJxl6x-fTG#>PYU%;IM3szgsi|&VBw<$&Q;<-28 z@6_<&;4(TNakduzrr;oOR-E2b^t+M?)`xwjIQ1C%9pCAEa++Nv22Icn`_heTFxF#ra1eld6qj7Ww73xa!tXtXKu`2 z$Jb>S^!wAm`RgHQ7gLvh1)t#YkG-nc*&D2nZc%)URYtEcGGk4zC#AwAf`vjG) zB}>=oU!!ydS-StwpkIP|1@s&m)VCk;CcOp+_e zUpA5YZ%ySCztoE?c=!Tc)%3#G6NzvA^qB75gKcOR`oFVuZ~r)YjoPK+c3qec> zYqWbKlhLl)a=Tm-gm!oT6WaAlZa2-jUF9Bnjhc&f?K(8>DsemMD#kDJ z_#LHoT_>&okGc8z@rABHSNpIlsBqAuf61BidC=ON;jMAJDEV#@@&C$9Lo2=KS#xwaYHMp?5R#{zL8F z?g?mDZw>kv8`~f*@prn1XfOEvOS-Bm<_bNpJ{y4N?53`Vi0j-{9?{hn2zW*9x?;6k zbT7sp$MZ5r$}6ZL-_D*}-pmS#)(A8us^Oo9W&kOwgA0D{Na}>{;eS=c) ze3#Cg_bD58({u9fqI-1pmR#cJo99Q~)ctoDzZ%yR&wEGiApcJE<>!Z#+fUD#k~i_Z zYEb1h`HQ1hZxgpq+9D29^#aB(8~(c(?TNZAwTrg@T%xPnn1ps)wCOUs_YOU3O;?q$ zg6F0Cn~!v_`@Zu>`}HB^>1tQ@=jX*8wA;^n#t?U*@AJ}C>C$-KTd*pFO1&3n529Y} zb?;ui)LXBL!1MBehjwpA-81x@E|XzD+EeP`c@fYsqe|tr++bcWGVgV?H#&Hc^j>&% zwCf$E&Z6H&)sm^*27Psd?&YXc{QQ(>>v2CM{wdlw{(hP6^%oB9-kmjnC8pk+HwUg! zyE@Vs>)$Kd^k34M%MatJU1swGw>^>&zY({V5?9@;Fz*lvU)$&4Y~n8JHsaPrqp;50 zib@`F-KjS8x*dfu-3eJptCX6RQP zTFQASdJW^UrJI1uAMb+e4CP}V$05dL0dnt$z4;I6<=;pq2c9r$?LOY*$* zx{h_AKYhS>Wr#1h@pTIjwl&%BZW$d9}qnczp`8hC+yNB@F-OSD|ri}ZHI0&p`m zn)lf*u>**EwYr1bbPK`NqRleaU*vKjZh3yqInT^lS1kuU8XwqVsc{X2x9P*BgI{ z<9~KE#E<;5|A2VZv68sz;FJBx$IG0Kn)|N07e@dx!pP{pNViEv_~PyjNzP$J&DHp?y8nn|!|- zdXusedYM!M>q5L53GO!MWc}9zP$#1L-|Ro847lDn4RxhA{K`D49qV1IDb%kmQXJgN zSd8PXxH5>ijLgpQB%Vh6uIA&V#P#<7pjSSnz{Ro#%ZZ!yE#NB?cJMqN4COkhqoCIn z7Gi&p?`uv#zXkh(i~N_^C-~A__}u6WZhMSoUOEE%lKUnL;uAp!z~yJn14%EVo9~(51xVSl% z@56Q>54!PNaJ5B4FG9YBzxC4ld9y}J7|@@bMo22s2H zp65lMeTIH@t6DL{WeC47?6~cC&Q5NKI`IVW^Cs~%^Q&!m9X*|f@#>CMkq=R-1;(Y$ zFK6DW9rB>FW`*8VYsL9FngG4@Y55Dq>4pvfSIHZ|ZTwWOpN8GQ%@<+dYUYd((#!LE znD4xay4891|3=(2<$m3IKlaZ$I12s;{^5QP^ZK=AW2O-oIkI6ril{GGzvM91yLtNp zdfPLS=b=!N9ZH{XNH7H+u}?8Jvav2hL~zzzNWMpR$76 z^Zwv^Og-eyd;J^7`D{3I6C8;+znTj!$Ib%x$`qeWT*giXSKa>vH`6;#C9c`g>#7e&=Nj6`Xt6B8WqR9h!M3p?yN7d zzU0&gqiDRQ+-Y$0tp%?MUR)73sqM)mn0Uk*r~)cmH+* zx4vzlR~x6IU)ilJxcqD|)~QTC6LqN9^6xe=Yz@v);*1aSCi|A;aiyQg@7Z!6YEhix z_biB0R0zfXud1hvNBlc{IiAazptp7AbcFuZBKe9VHi zSTA<$3~-Yz3VE|H(&PN;CJja1xR@NA|9jE1;IBhDZ+G6o$2E990RFv;AbvTj0?*62 z^8FI2-@o|$CDTwjv z!r{oXId8s9}6|J_T|C>~WH2j^|>IOIXT*cMFO^ZOcguAi1cy@@d|7n8rs(t-03 z&=K*w-6gQ@MADB~FS5#P^y}_l+CV;TNFV6EBTG1*=0iu2kKE1gYxm$P*WujE5yVx+ zvpg>=QxK1--eCm!n8xGatK-*6TEcWorSK9yEinfJm+U1{?Z zak*s_+3qkLC23I2aM8gB z+*HoqgSfDKUiJLX^E?D9>?gYSIryvBc{$G|`$m($sGEp*bY+LD9T186vic_cz1Gpp zFZG6AzYJr3f$PZ5**_O?hMZxayB&BR@Y{~Ma$h$>9!$RT?DO&u_)MqY!@nTs&8m<`8{^WO`htrG;gd)&qaSme8SAr8 z$-E87Uw*cO`(2tJ+&vELPh7tU=YG2s0JpDK{Y=~yY|i?%4ZvlU`hAIewM&D0_d}VF z?xNt|U?}n{cbz-yN4k=eR?*cBtqHwK$id@n|3h2i;un4&*~(wwId`BW-XmV`ft=4` zJJ_#dJATi8#pggdJulX^%64cD^{YDHfL`< zdvUxAXJieR;g|Vt=MQ*nxAQxAUf=uG}}T@&5JJ z^0{3WNvr>A^X$Vf)UR7!1p9zDrYq*%yYt!uZ^rwESakvM+idyg z6Sqk@dH-zB?;ZQ*1i0=V!Q(9*i2YO6zsz->)CzjNs3F?*{qGUKd(Yo(ME7%uNA&a! zCx7|hRp`|2Tj2UsMsO8#9`{}=UiUioWnk*ldJ}M$@e<}&AKy8MeDo;(edk)XM?Ws% zJ>sOj__`8bQb&Km^_6qoWyW*jGi^`++X)W zXgBY&hLXRk8jAR3eg1z3yXz0c?}n}fx0jCdd%5hNs1s3b43Bq0PR{>t&E}DhcZ&A~ z)1x)?(k}?V>veKP=*9Q@u@B4X4T4E84kB0crC)t0K6q)}kMAFNEt@-F(3P`cLgmTzBE` zHl{!V^S)nnfzKfR-D(eY1=sQ6*dIjs5RNlnHLj~7eK+}~`q=fHe`6XT|1x`htUG&Z z3-auBzk_&m>x2d5Z-XxJd>uT@^O%1q=EckMf#>C?eC(5HLIUZ%iF`f~XZZK8S`-1U zA5Dke6dVD)ds;Mx^kO>y-c(*OaQk@NV&W>EzemY&jlj*m@rXyK=Y2tzNWy+4LbBuh zAV%=_beZ!hxb6Dl2lA0?BGIqwz~>Vix?~J-8=bj3mQ*q$J z4hGjpC(i~iy%GNA(j{=^b{gWcPAS&sYK{80HJXRPKkhcizr7c@tR6j*xZTr(*e!Bh{vUm;CLoX09W61!~4bbJIwyyT;zECU(JL6!UEuW_GzpS_1n#0#8V>{+;;c? zA1~=%U4tW!@1AOFGzm3Fo$S3ICP=9doZc+k#o>pSs^ET>VhgWJzTbe$1m1_$-^t)MOAT;UeFDFi4?PFh??!{myHCfGkJ-Nl+$}#2 z?ky;X^RqYXIQy5s2yTmqjV8VDug-Dq;O};NN{8VTr@S)+dUGNQ$DTaT zJTwEin?D%mCAH}k{Oy^Q$fw-=9e%fZfA(Vk>!rZegJfR6|9lU~fInKMUP=~tiLvZ~dFMfBpxgD32-gfH)fA6QSP!F=kjR=ZUyySYe#};v&yzP#< z6-iy;BmO#= zL=5`<^fmmw`cL66ik}G~AC;V*<4;KY|AEeR2NBm|FSva17VBO1pE!lMi@$_^RlTjq zvzeJ6=UaX60grd-B+gsi|Ba-6UAI@@X6}97HO$iFT(M#5M9)W(nq33v=PRzmkRmN-RSEO`bMtapP67jgY z5uAsjBVrR%xsKk=@%zSsyT5}jl=I6u{Rgu zalM~GZ(4mBME%-a9KU(X-$hNKn6~62hrNT3e)uo+UcQ6bHDKJjY)&(yk4{|xb zcRb%1tQWJn*)a0)hPFjLm_2>5-tEKDJN;6*IG;AZ9o`{t+J9Od^n36L{MD=U=+_(n zyd!b_J_Ou;8-(>GvxQ-OneInepSc3K-q?H`>0LF$`iN$%KN<_YI(HA;{TqY*&DOs6 zBgLaLwnF`wr>~gj`(Ze7Z<}NN?RH#m-5O0Ke^1V1{hBiP?rN{+!FsV9$Aaq%E9{WuQ6U1KcX3N_iHf6pROF%mwEp+=GTRA9>l7O z@b^lWFcgoT!tWy!sIjh9^KW|*7e~_KS-b`BJ6ra0H2Lc#nK3WwcAN8bF9wAEMpxN> z7Wy@lcd$O9(s<&k;va}pmG-cIy2s<Zuc_9 zErCzV$B0J+g(D9-L(2v5IqlCr-SVT}+?>vMuetJDz+KU&h|~L@hxMX2HRt@-u7!SG zh5|d_Q)U$FFKdqf)pymvk6i^J|?OQe7rJOewmJ(TGHF(;_SbY|6kr#%pE~oRZ9E2h;M3h{^J5rZ?+ikV=ieR`gJ90cTG&y ziS`4^i@;{4zhXbpdNI)LXT%W<4r^zAR1kC_4Pt*I16{hF}PIi4p~c>TVa z*qFEu=Q=lIR${)q?_-t{m*4M2KE?43*XZ6WzYp=-4t)Nxq6oOk*liKD+X8&PbsG;L zpDyXe68L1g%k#S<2Jxt86F3i7eg~K3BEU`QbKvp@zo*1g{%+~*$-?n>&2xkNOzRe? zXH~i2V!9U>xPHW<6t44?kH-^tC+@)CHC+mBA8f+9)BhAf9>k();Ii&;9#={SaPQZJ z>_6eZ$?z{93~oXWGN1SDEby=EAs#g_8uMI_4-ST2A8En)UpOE8m~DI?@rYz! zKBwJnH$IWZvtkGHC_WF%JSSp^d;a|1Gz)SSPV#CN>-57nAsVpcfs8IyZghvwnFE#4l2EO@z;`pTXs+ zT)dC1FwqpJEtUuIh}Hb}1vd9AoX^#8&H2f39d%{u9m4M#ac32LtWN>dp*?yG??GFF z|Bh2GZUFAZj*TFH@BAOos~7zLX|lz_NaC&&|9(-0(!Pt1e~j~t>3$A+H?0P*>szgc zAkP0Df_s&(Vg0&?1HUJ(C-S*Vt~~)R^IvU4+*D2byUMuD%*!2Z2>y8!jMuAN4BXtQ zp#4(ys$Y7H*K{ty>)PjiJaMt18^=?t8}><4;xNYL68ZOq$d(Ivb{FCU;p2^m-hBEJ zTu$)}d^%kL7i*Kzug$iuNg~C$iRaO_I)yqhy@L`+@1?5+y2ptHDPs2pL83$htG(qh79JeU&1^iF=b; zvj4{zO$PiwBWM$L2!BRz$D@#J`wSY7e3gpY_0nNiNvSyd0tcs8Zc-rU*>y?YdZI?=UT@p??|j(K!H{Ir4eE^ZX-mxqJv5_d-uH`mhMgG0i2J=Vw) znV8CT1pj_?e}?jYezMa-;$GA-4*Rf}xthn7 z_d9SCyAtOmH6WSwN2{Q2#h0xXl8?RC2l=s`lTe>}@KfGT3a?}R`ii{1mIcoyy-7C` z-0cencjng_;4jL7+oqA=UZ5Z9(<{v9XH{(|>+{z%q*t%F&eh?D?7y}d>eI~*=ltx= z2X4a_{6czphtEr*^-*wj(d;BHD*Oe#>&<`9D@&c3k(i3THhhkfzFRPl%E$2eXBnSw zy^FJWzJ5%?ytrIL+2{3Rp5JvdJ@PSAdA`h{HQ=Vzy5Hd6kKeQ2hTNz_Q+zyr--!hS z;Ul_b0N3TWz+X1(0WL?B16OfX=97Cf>@csQ1YYW#yyiMb&X8-@+|8p6zr|uu7It zPTbB&#<@&9`2c@CC0`tI(IXLD_woZ5-SZ+Iw|@T)@)!3u!QYN;I1oO=3$ahP4j7j_ z5fVk*l$(To)R>Ow*LC}d@rp6`!S%((@K+tbgI+iLc{};rpEEz8tGQOV9sD~igWhJ| l3V*YqMi_Bbss^~sw3qW1^<*S?h%d+gYf*63(RWbd{{g&7_5uI^ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/19.npy b/MP_Data/pose1/10/19.npy new file mode 100644 index 0000000000000000000000000000000000000000..d1c3dee6984e3ab95eb5c506ad9cc7a4ffd74868 GIT binary patch literal 13424 zcmeI2_kT}G*#1Xd%VO1Kl^wmT-g^d{tX`w+Dmg^-8WBVry<0+*gf)n=>gpCN6INX< zh%QFY>Y^(+m0P%9_ZjNdHm-Lax!wg1z6IYwT`o~+3SD*NFZ@#K>%4QsRq!&@tHbeJ z@6Yu%{bbbJvp4zvrWaA~>T! zHBGs{Xnx#p*QL2ZI_W zbCeGcU#5ETXe!6Gz4a5~W^23GDF5(DpnBUe@d91D3SACUX&*IxjI!^jmsGFUWP3o@ z>Tr{%RGPnTzd`-n8a%!m^CNDNYSb>&_u2Iim11!0>zL%i)r`jdqQiUm3U!F@AC&zL z)!Q1CF>Yc(mIHL3nt2a;`Mkj!syDSxAaAC8bKLLFHN^euSqF@-o?eT`eL=cIbiYd# z3BB{J@`~;k#}@LnPe5_wIjQunG~xTh{z#+f`hH>p zad-9JKlSLkS_HRWbua40m#KMN5?jYoy{$M9_v^i_)2ifa5mJ=<-QkDZR4@MNhWp*I z=BPJ2Kj40Ovcqwz*GIeDMI2QVP_M@S9ZA>nZt)jXZ&tSCd7J4Y`!_gxGA5bZ$V-mu z<>3Zc|K7iTh+F(NVV#wuNv%M>MQnXRDBI`)xI>iYn%Tn`RFWL;ct8dxEgkm_k+ky3rH^x6+m9Rj*r0g z*s(!$pF918+x7e|(zX2J&tISqOJrWJeLQh{V&OdEx_m6S9W^M9xGs`*JaLuV7wzhG z(a3|hatQjRDmMhT>;B)k?hJ=dAs^;fQ)7QIem~41ZcF{ZKDqtCy`Q?y0&my|TttV1 z%WJ2hH)WfGo32UV+V{d-(#z@0ozM5^xBlrb=tUs=+o<8-?rhgFq*ve8;&xvb#JH&Y zXIB#UX1_y!&FkXeUa4(S@Nabp^Fog7hWxlzeOLI9e*9H#Pxit3S8pG6BfZYJ4BU2@ z0&e!t>P6h_?8?0GJl^NNtRFyJtVzqfe{FCbQLqpB%Zr&g9#?^R~4a^hu_&B(?zZkez>mBBmofyS@Kr?VvI_GrqQH{R? z*E{ngUa#olLBvIi42Z`qIfeK|#%s}NchYE+4i z?6cYj`-$4{9M1vUvL)x=B=A0vqsvUvo6zf=uQsJQ&Ux=A5O*~?BEO%Yi@h}ArPpF4wl^J;7+ zf7L1+{_1ooUZ;1$vG17&JdR>rD{ymR8n|9m6M9j073aHITz_iU7UKCVA5UX`|L+ju z-pmPnopTrRpxpHl#KpTeN~Qb z%=-2D&!IoRoEl30`shpaSLeFO`RrXQ1oaPQLa%!)#`#8no-`Huum`Na-h=b}xH9$) z7u*3{zDVS8Y>*`!J|#XOemQq1>Q%Yp*thl6{otm>YjArgCY=0T`%-;hl0xsFR)+9 z>VL3*)D6sA+ido7wCi!ZUQlh0r&X0H#BF>W^q%GQtH$)lytUQ7;Qe7x4(PpX`}n!A zJ_&kTViNMITJ+HH&;1$P^{m9>^Jn?F#6__*@Dcalahzd6^N7oS>A=F&v%uZ>^E|!-r-ADt zdQou%&!3aGcpbg}#N%-^EA}P1_sBSE*SjAD?ls%YyxlB3$Ib9Y?DOd;`sLNRjd3x% zd=R%8^c3sMPN^}1`m0M`1edup@cP;?81qv_@p!AG#_^=H32BgLF{=ajtJ;rfUlj8V zLmnpjgR5PvcdOrG{+p_$z;(giSf}R8g&22LfZyA^__cB5@5+wEer}!@hp!F|!*kFp z*R?Ly%Mbi~GK~gd|2MtLOhjDo%E8|?`he%GZeOJ}aW$UDL#a{VUfiT^@cFMV^d{%m z{2WPr3iHICpTRyw$02Vv-MQs4)UMA^%p2qTncJ;;dM^3sug38_sQeUMMJ&KRAkIK!1eRHD8-_KD~PM~FVLPoybtks zmvgKpZcesA{9^3a(957(%ZQ7%sW|^R3nLy^TKr1fb@D?zdPEpXdFgH-aj#?nmJ@k{K^GRBJL&ig}i$+L_DJY4U~3Ny)fdk zX-dA%&E$CVwZ-$)_8fzD-P@*o---20NbmW?^ZouUu@Bfhsj%G5T+Urkos_Xx;|C}4hvn+E&k-wdm5B@6uQE+p#Ko8<#cqI3$-OsFVA2<#A zZ=b_Q-K+&}GsgZ%{_gs2aQ$0$<{|rgf#)9&ZmQ)3*AXjmUee)B*ym+Ea8dSo57L_p zC7CZ84z5iNw9#7S}Q`8l`tDZy#z`G^)kxC0`Kk z6LYJrBfYDZ2Rdfg`D|%!9^fn#E{4tk#{+Kw$^@)65vJd^>V_#lC zJYMkZ(P%eY0(5fJ9dNs_G`R4;h->%0AxhD&UmhQd^BsSekQK)8etsw?#?iY_5I$l| zIQzKC0pxF=55u+h$86}mRQ@<`+o8O^^yL;9M`^Rd$6WMXgd4(wjV|DtHG~utzK~ZZp5zxhbdoQO+y` zE~l=7UiM0Zan#?QL4Ne%SKwaf{W$NL1tH*StGw)!+@3plU>ucRkH0Xko?l6xw^_1c zztRO?KrbuiK_0x_3g;YsTcKSOroiPfzeW_l?y{KUY*G~5zE2wj{>=k$z55p0)m;{K zCvIjHM&4}eh0M24??l||k+T2T*5LN$#P-k!YsBf+7v?xC58UdLtXIc5|E_3Fp8wBN zW8KNcTjB4P-{Lq2ERP}|m2?SQ-nJMQU9SVi#jW|5<0+n*eVX;hKHz2G^MMIUfL_@Y zo{i7#`ci)$_v-iNAx_`)ygzLEmihdCD~W4={vPFJtqblg?7;DS(GczGN-@~4Y^srg z)GyPxKgVnP`x@?2tFo@AI^JfZBOV;^R(QrJhyqCzb<^2^dhe2 z1u8w?YWOZ>%H85Tym<;AeeRS-ePBNLi(HSv-Osls;{H8tn16W*T*jQ74*mKC;O1Zt za20f90daX~3;gYpIQHo{avX8JxH$B7$&Z-->gS)Z56F)XpqJe`fs3+FLP&3)c7@(0 zwc&Mi;PXV{Cif(8ae5566?7T z<-|TFI%neZ)&4Nff9Z3)|78!H8`;SB3x&XKrg*Gh8`lncZ(|q4qgvOK zX!q7Ca9MRYxZLpNSi~9f6kPayh4&8i=jzqO)tm0{S53a*d6g&I6!Nj{wt~x|3&GXX zS7Gp}(g{9p*iqzJbUTZ6utIFrbkg3d5=fL_^ zxxWslcFlnT@K=#f;IGde9!WlKRw{5^m%nR@2>HYAJ9-lGW3HzOBd&_S0oOMkz{hLWeH?LHCKvq0lJGe4brss6zamvU zxJmtz^EqWM)}8Pd;NFiV!M*KIYLSn(<2C!t9E^6|!##`1PY=(+dHZ;o+npL4jdo5< z|=YeDmQm{txDP=QCga4f-Vt^8O~yZvb~S7mOvnuCf|>m-GU8aB3vZy=rh) z#ADMxgI;ziG?d!)=6!&xHNN zB>c_s-{SvE+C@c!sa+Fv5nRprhV>`-FVbFhg$-EMOFO`+MArJZt zKX<$`v$0<6xCettua>3k!$tggy`OKm$0wOfe;!}+@D1{B8}%qcdRg`v$GPh>xZ3tj z3-E)(!S$uS{Cv;c1MADv$H2{#BH%W*G0t_yZydNyRLld$KriM$1o!q&$NnZ)o$#l4 zY+zH&ADJ=byWc;zF@MCr4ti%AVZQ0HLnc!^Ds?3E=IbK(?&|rT#QYa&#__t?)ag9= zy7I-aensA%;Ck!<=dOL-?y={646+zg>uSvaSI)KHu~6XhNr1#J%hM9P~aG2N%av zbDYcXaJ%*i{Keb;!=Mjc11_T0bAPwY?n>Nc<=-Lb({H%H)jH3Op*TSnNj$T>Yg=)zv%Zp z+EuNO?;;=liO1I!?}#{Uy{}VKJgz3sLtU^f&%;eEdlDBx{Crg3rGbwPytasZY@A+SF`vI1>)qCC_#61O zir}{BQ+~cYo3#OaU14rl@%xR+UkP#QvrRev^OeyrQ@t7Hn<$WSE-mJvU3t4#*BI(= zqcWU_*&h09YOP&O{;ozd_8-|3TofL~=a%<*!Bw5f%(s0+yP{-faPg=-@*rpAZAm`f z0iNe3cqzuqWNsf#+?M0#i0-)Q7G10L6{k>X;@iVVui@`!Zd~j#;<|hUxNXA!UlqNx z!$-AE!IuZJD{5%!$Be`E|_Ji9uQP8W{VAkJzhWM?_fjqb;^)a7S#OxJ_ zr)0`=Iq^EU%e)`!%a!_v+s&{7+^h97pO^mSbB;HD2Dt8#5$&2-e(!MgBEe<-k=PH_ zvtaJm9~RuEJ2Qvc6`2&`(f9d0BfAXQPTYRcA9|g(A@?iaow>xlgS?-c2Br9%cDllZ zm}IVe`1gxmx=qNx^1T>NTt@MJC7)-6UVlsj?&Vqwf0dy#p1(5FF67^4>jiEObN*GW zxeL(lup^w$4?{7IE@?IPZ55Ll@vBBD-ytssVxFs`kT6FBHh*b?yT9Yn}O>xJXJoGxTD)QqME8Lg#ZY-Za z#rFwVzp})uR^X{WLvOd90yjA~`+@J`bD9X=!hFiL8pL%rU+!=F{LGjB*v%)I%gEH| zuQ;BE_p2U;X*TIP$S^ ze6F_Rj-g#WHKrED<2GmFaolx;=SlkRD@ZR^)`X9KnT^NsZGmy5SC{y_tukmnzb&fv z6Y0H*{JShMc{e|gsuy2Odaub+__&67u`jv$+wt7dFQdUl1^#`Lej7NL^uqN+e%xxq z<5i;#_6?gR2e>|a4f8?wc~}$il&jACXa0Y$eS0^I;xVh{uus4W=tbV35aK#FpMOO8 znaH!-cOLP}MizQecOSUf5RUb$@9{onEdM^rd%3I+wd+OiL;NN-1pPAor%fX64lQP% zYyA5uk^3^{v;3_ixQXTO>fV+Xyx+!$GtaUY<02OgoI!Eg?bR_Z@<=@5kyXZH-?rW2 zpqEAXeZia>hk0U8w}9S`Ncp|voElrm$Gsc@y`4V-<103N8V){+pLaHT7}lfrVEhz{ zUxx7a5cMg9^PJFmDRJd{n#Zwd6!Qk{=0jhR*SpM<0o+9NTtVD6p2hh&JnEuP^0nCY z*`v~%!TY&soCn;Sd+%rB?rcrODGt8HbI@!ZfcHdob~LzN@)2Bx7to|PzprQgiSqDq zbuM#0|N0wT&ExZi`_Lzf^!h{)^5gmK$NZFOcVIs;w>CmA^OWHAb^pKu(yQ=LaPI~G zo=w*aoDJ?@8r(h^4ZYq`VG?n<=qCEBn+Ac4e(;zq+2SehDF?raBp-R5-`C`cF}$BlxjUZvx%A>a|PpokuVChrcRQ n6XPNp_J!W=S-F;UGAIDti>!$8l2eClCazBGV*Q70Gh+S+?_B-_ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/2.npy b/MP_Data/pose1/10/2.npy new file mode 100644 index 0000000000000000000000000000000000000000..345f4701956a5a114cfd12c50eedb9ad6291f8d6 GIT binary patch literal 13424 zcmeI2_g`1H7ysj+A2;q*N8EL`Zk$A=j#?EbZleM&R1~+M5!@RAw-Bnhw^iIktJS&{ z#jSDGQLS6+{*u?>FZllY{qoCw+-J^x<>ch#B=^3FYTdDwZJ0~~MKJ18U|m52229UPE)|3lSUwW?JrUx|nD|J%PT zj4=~a?5=m})ym3O-PL#wx}TJKWhvjDgO50fcCptt#odb^Gv9OVd^okM3}x>*&JP8k zT}OGK-3+95UV04L)i2Z0&bDNr=Z8_dP($wE`SjM5PdCOt6kL>X`_`d%g zb5|Cc1U=nz?+w?^%C$tlI&+z4u3hC@{nlMgNcIb8&pa9NvOea5JAOT1ifgx16Rx>?6W%Qu*Bn_92a~VB8?=|Wg6G7>c28Y9_rHYa z%^zJZyLP^F9_&?e;3d~CUrxt7nsu*Up*=A0U&qC#1dQLj52oi|g(tgqwLcr?MI8|- z&d!|4LV5gpEBxmbeCYXbFT{xl?85kUaPTJgJd0TD6yj+=-dR6&;yzknz`GUOVqrA{AZpy!0 zyJ^$^GW!3o58`UpG=tybZQF&eotN$mE@$kZ{>!~v<+$`|L-XK04C7+?H^jhRqz7kl zL0D(Dc#w8nH|YSbCVj#@@Us4^p|i0mIDeCw@@)A-=!=6?uUOV3%HJ{tpf4ZPNB)Si zM=5@u&-;3(>Z`ojso%w=kSASL9+2}X9 zKe!z*16-`0Iv4$39t18LJ|ez*H~cphg22_PG8nflvJ>_!FZn6w39d)s(#r&H`B>3aM^^>pmPzR;<* zAKbhP05{iO^>)&5SOU9U{>*SSf*`{$;x-?$w1 zIwcnKDAp|rbzCS5&JvaqzcFGI?EQLzi-e=Zul5}6xXxRhbaG@uo~S412RJSZU8nhI zw4VGa@ZDJNRBn!iz#smt0Is^qfR4_d6(~tMLzYk;-ijRN?D=#LS|E<>UW5m&JGnI)>(0z5Me}&~Gv(X2E|hOM z|Ac=`XqvZofl*FJRb2os=29NY_`1kLGx8C*Imh9b{x%JHW%KMI`^-(iWy+&zPKQU= z1D6|eW85n5a>PwFE)9RgmwoVGbo;!@*=uj|pJnqTKC0Jh$EBSOT{~qW&C9}$1L0?- zp49L5v9u2#ol0?-7Dj#+J^&qF^w45w&z=N>bD!?u`p*!=N8h0Jz(y`6e&+lj=-;FL zLRP9o^`t{7_$e9>#&}HnjmUHL;>s-Oug?a~zP$ryD|*8p{v|EG`)^|3W4P?nE^6!@ z<~VC(=>GmB8t*UZ#yPIT$5Forb3@-W_JTeu_Z0DwZ`Q!xB3RcP)%PU6EIs9C zxgc=6;~nZM3y#7%l~J|OFMGK9qIYV4YUr)u?#h4O2z%3VDB^5-ZlCV_v7^etUXH0o z@eIz_&)JI)%Mmwrd=L7S+s;HfZpIZwewur~qg^J3#W)>Z`8viWy1pQOnAVa0VGZ#N zWzi4soF4U=MH}Lusv{0+_I(;xaer_YHy!r+(AyxVZ$>C^?X`sbEp=id`rR-B+^EA=a@RwaLqW|{)N;05f}hT`C==%AU7o7rVCUc1c` z+y>pndKcGnfwRL@kJamL%GvAIY3KhDl@M>evHp1lXI(8Bu50tORhgejB)K zRe6T97dw{_|M-IZvD2nHZifE~&K8!zJeu?~V9!gw$GJu=UWRzuZzr~Sr`qc^?JzF0 zqblZ6Ol!T&>8Qnvp`!u@l0TU{VSiC`=Mpa*O8#UygLzbg80qYv4ITF5DOwjJsottd z3S17Eih80iyn&9G)sOP0{1aNI+lrF^li$&~sDFCQi#oT5)=OLz)vH#mu#d}*f#gqH zI(Nxk>5zxE|5W&=Y8<)X#wnt6kHU3kR_KUR*Qj32=@f$T?(`-8B|p}S=ye!z(}yWP z)!2q;XK^2~Z?Yn^4~p)^Xno0n*k26$1^(!BKG0W*4{#0w4}0UVbw^y?OY!{fAnANr8SJ>Zn+yJ^njJ_dgYPiM)vmVS^8Hiz zX@jz$9@^}8h!^;PafvwvDbC{`Qk|0h$^Q~P<~o1O&uwYmoBTrYIsG^4r+QEu`N^v0 zqC7wOAI^JX8@+F<2i4#|_iBTAXC7OyUi9(~@JEgQhW8*dBAnt`L4oVYUC0Nsu^aJg z2LAAp+ps^f;B1J4I=hwp8FO$X{QR&K_U6qS%IA(HSGYKcSV8fR>4pC7F;A>hwu$nJ zuZx0?ZS)|(>98snprax~p<|1b!MM!LD(F`p9D%E89ly}o^Ide#`4&fEPAhsa{6-HB=VcTMjTB1 zJzr-pYf^pCS^uN>%)WIc%h;*^=M+DbLyDawGQfJS5zQet`^AqZTFafClvVPk8QQgyM z*Iy**Pkl-{x9^hwWs7%qe%d@#4|TzVG~QEnszW~y^~Y1zfQzC5eH_>GZy;`JXhq^X zicfdkEXj%f*vb6he02+oTcIly&q@Da9(9|?16;psp9Z((iSsl2hd6F_3?M)A;bjp7?t2llM_Y3wg{3hn!9 z(?g6`Ji1NwdG{h3SGQZ_m&bzn&L4S;-tWwu@}$>3YO>?{!)>~MwhULks33(YP$?p)T+&#_8~^0}%()kM>V}xU4_8 z?_k*5dOPU3F^{G?9n)nr=3Q>ALh z9$XFSM*8KNPjcfDtNN2aC!2%o6R*H!4Nm%%F3|W6mxT_GdkH(%yf)2m`$xlE9HhrC z*h}w0RG;%*#d(jPrSm6?C`j>t-lm7^SJ&=H{()T!s_=qY?u@9>4UYK7V+L-pioekri zy{h>V_T2jb{AWFWTMGWXBIU!t>BOImT;@1i5(j%zr5)-gAD49@`aMbc!?)C>{(tHR z|7C-Ir1Sm^{4v|Vj)#5rFJyOv-dAK9UvMd3lU=MAu4+V`U%gYi+>G#g0&eu(L1$U*&;K= zrR!&m*FI^u3VeG3=&0Inkmq9Toj}LUrC#8+dU0AWCql5ls6L6{rm+Xy9c|Ky|>Z{0rRPnFcP8)4843?uvfR@wbuAUKgkDU}9q?@@M`eoCC$VGSIhkD}vib zgW(Tf(3kv-)0h|Wut#ri*YAYc;HuV1aGt@hm(y1l=si>%egZDHj1F_0HKOl_{L*M} zb*OJAr^8}%VqWyFR^aCLO}wYby7c{4m8SE*oW3O1>F8Mr_uO-`P#)N`eJ61qV|^!6 zeA>RI_}uz}JU2C4-govYp~6KxSO4!#xCUi_juG^JWb^!se6w8|lD^M%=<`*c5qQ4J zC~#f=81Zau3-L>;x`jx<@;ER{uQwk;Br?V{c!EIc^^}hrP&Hoz_K`&SMc%wKi>jK|(O$6%`b%bk>kKbxzvwqI!Et`)GjvqN!mu$MD( z!k+iYhWcRZ(eK5gYcuj^nO{@auiX46baYdHaGfq`Jaqi>(YiSM>4LlG?HecHsw1Fp z#e3MZCz+->9sTA4xZ0og{rO$>vCdw$4u`&}w3Fs*`@2bw+g&{LaXFjfFY>QIzbvXB@`|m`K{{jm(|8+ILtg1_1;I_5Q_x`(-zevg zI!)_HKMFnXbosVh@Q3&K2zz_`PO{^+{AH{=^=~QC`J5A+1vPIEoi>FLAGtzOzdZ}W z-ejr?&Sv~Y{uc{g<@9t&0^-98Mqs==@g(BIm){`1V-C0o^QP~a|9YTbeTKff>$QV0 zE*5%(>`UB59PE*JoO{h*wPDW!={&-=9UF;pY%W9NYLyP_g}r5-&VTcT)3|=2b;q-m z8RG2O&L{rr5xBlr z5bq*B9dw1v4RT za(-G}>R1Mx=U+L^`6;4aLWiZifj^dw2}T@peFiuAGE;m??Z$aYz0FGT>{yfZ?=~On z?DhCU;Nr?4;?LG04y=_o*?*mg^`h*zAKqAF)wDOxO=-Ne+-`cZWa0!B@;C)A4Uf2)ZvO9>6Eq!dh z^HcX30)K>WN#v~@14om-90-c&66#pLIFkUlM;#_Jh?HBs^W%$WD z_M`QlWi*ZVLlN|=*X`TobnLPv(9z0={9kpyrt^nYr95OGnn2&S&C}0ud+8X(q2XKj z!wUN&5B1NN$)8Jc@SpSOMb2KOAA^4Fy7X8V+@pP>>sK`1412M@J^Yb%K23IA?BAx~OC9Nwy76M=gv3mo00NKNa$9b6nnN z4lZ_X!Fp$h!q+)2UUUIxb8jR6`NMY5k@I{oUfnJ2dtq34tS>%f0Q@w;^nW$BjX&~D zJfJ$GI{KntSusUA|J9N9&{rjCyux=p&JUs|)d5+Z&co*O5}Zrb@Ac8I$VUHfCc74! z;`}t-Yk;e)#SjO%cxxBO)y#o3uIvjiU;KW*Rp5y?$mS+|_`_MqH?uE!g0t6M8^IrQklvT2 zPd4<+=cT=OB&Piz;IkJLDHyLFzZ~(G`#a^s3z32t+zhkfe*3r0Gw>z;(Z zp6y3@+rba<=b2}M^G_6i>r)nWkL7;|9d?3#R}n8?`Z+&sJ39Y}gI$pi?AIvdInO}n z1a;zj_|Kmeh;a7i^9<;SP4v5!zDegsS%&gTj-=n2ZRW%%XU`hVro7603gcq=c5HQ= ze?3Y5q|iQY8?{kMsa!Trs{?guA7|m8!X4+A?vcG6M|ta42KyRo{EYk=aEW-*T-eL? zAHYq`pAaAW>-&CAhehN;d}Q`Bx11lUSN_yj=jaCwZ^GW!1|-Sfmk$9dv-^3w{`N%O4oRHx4dgo9h}7nD~A zI}e2ZF`9SP`7^kv5)$UP9G@Qjs#CksukKW&lH=xGHT0`XA3&bS3$w8<^!P5MAOD{8 zNA*OU^#?i^*}UTsAHDo}52wSU`;h(XmGF~!MlVis`U(5M)r?H2OX|`m>^o}VpWsZ= z_c?n#ZYbor42r}P9mFLhtn&2ba)H}QR2z*YTi_--KozD0ieQXRID_4>Jf)m5q+ zc7Z>}W#sG0j&q*_&@lm@;J;|zFWTwbUqiuV7W%zKK5R4Faea~M9#7an`7pTOEXP?$ zFU*UndJ6uqEUOb7=QG|zN7SSD1#$Zc@LHuv)gL@Ij{Fb$2b@o= zJi&3E=?u6zUYvBgox%R4@4oX}=IIc}fOJhB6uVJ|P$-|e`V@EG=T_kP5m{aj#PlH-f$eZllt zhIzDuGcR`B+@bS~?LHRvvf4w;ix@N$I{fBkaFuI?cJ{2(T5ww=3fvUG83+FA3h_ns zJ=1hep!csJ`u?D+JSBa<1JKuB#*&{4)Bc}of1I7{=HI;7NbA1)=?MJ4c=3YB8=HO~@af5%mHcFJ!*s`KV?ZJeX*+H9~_N&8Ueg-^99 z&Oc`9|6|m(wEFK=${#w_k77ORI$z0t);OG7%(JhkgDR4Kw`6yx&2u{Py$AZ0E6!rS zFc+(%F0u0Te>SqfU|Od^OPj)eL^kLfI}~+WJpF!@>(`Dp7hSu~mG=K>mm|lxd(nFZ z`n9g-TK8O$5reGid)9|RF}$hM%}P+O)xL|Z~A>n%*!9* u>_y-eaM8;P`;_%9f$?%N2L7170q|c%4aD~)Y1_gdF*h0d?8j-dll~7sQ|=J} literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/20.npy b/MP_Data/pose1/10/20.npy new file mode 100644 index 0000000000000000000000000000000000000000..7dabfc0d9007260acce361fb3850a10ec93fedfe GIT binary patch literal 13424 zcmeI2=U-Mww1vkO#b_*vHI}hN?7c-aj0JlMV8=2>K!d%YU>yZDHdGK55E;c5d%<4b zv10F{SdYQpdx;t^vo?Rh{dzB7&hI?4&YC@Y_RJ|SQSCdm`@LHxHj0gP_YWA+cer~4 z?%pu4zI$cv9ynz9$l-kk_Z~9bKfvxK`KaN7X@S%3K^*gjXrN*G0 z`_7^E-WmN5ndjK+c(6e`J3#GDYibvtpP_$Qc=uJS6MpY6xa@IcM*GRdw{iWrO*H-= zmz=ikx^sqq5{=KKJ-C7Ey$ULcXD0_?+2e+vUtJ)V^o_6MLO_c!JKKPCIVf)tRl(o0ios z*mk80ytGGotIajr&MSSRyf$d_%yQmp%saGu+(&#)J+I65-274V5ZZlDKek74%IA$M z{pifS`@o*-`AweNqx$saJ=*goBmX+}4&v4YqqkaahCP6udq=->+4H;oFmChHv!}M5 zm%B{Y$A_T4oIh4$-sG;Ny|!Hk{&L?Q)!HYxUi}vQ$ey#G8{>LsT~}OhVpk&njPJzt z#+7`~>YU2iDBgh|5kK4Dh3oa{ZseQ$I>s;VyjkY5`j9j2>~*Hm{pHEhD zd#<0HMLW;qqCEG@{mpWAr`=jt`oSq5UkT@J58-<5jn#4>0G%yz@2|Kp?`HDcDd!^e09aob!lEcjXHKE~l;1Y|B}VW)y!7 zckDZ=ajjY41zM6m(@=07vKevmE3HYNm2kulj7m^1HheS z?#gn0{8#vhin%Z^tam)tf$sMS<8?OvNb^;^U!2vOJr_|IPL8I?4^QpA)H9vy*0Y2M6e9W^I}np%}e9{u#W1g zXgs(qUI(1*-}{&K(KAYc>pZzB-s+c!!oOz@#A70M(>@frbh+i`-M^$?lpEZXf3pHU z3BBMejznQz#E}T(pZ(bcdS}2G>sPEwu|zrkNTK21KU1-hZ%{m;Nz@-+0r zeGdK!-b=w>^=t+%-8Qbb{(5*6{GD7sVVyc2-Ldb<7AL^veGgi{=R1O%VhzE~q^acJ z?l0s)ex`cn+XoVFS{Ca<=8U5Lvc@0}YDCM?HXb>)7kq?UUh21jgSuilE>Zlm_dqW? z1Yo~%`W^=731z@#^e5C6pXd#)e$IyH6XxRHXHhe)Jr~doD-2E;bT%!n*9o zxVXLpZk~*awEil3Cb;Te1aYyJJ7|ACmI%&1)j%Hjngr-|uQue9ZzAP$!dHyT>sPEV4leu$W4=V6tl<3T zi{$@hbVc%XL%Na>u9P& z^VipD)}J4p0WPZ~kpIM%7?*i9fqdrNB>#60pl7@W>ED#Vc;%9Eq(8SA`!IjB7WtH` z`)>A3_h-54AWrsQRm`LK=T)rjSKk;9AF-+j_1muLM9ZE2Bf;67K@@*PAo8YG{R6Jl zH1cs`u73}5Nfi|&t=jyFYnLLtg;Id9~F1^yCdIX_jC@-y%s+-IFe7du*R zCdAUXLVFRP8uo|f^4%cPyM2PcGuaz;qT0-&II9Ms9(1mu2`=lOYXa)Vx#*x@{qFC% z)<+GP0e}7bIdJ*$^q-bH)5_4ibk9QbvhV#L)+rnCFZ;k>FRF?7oe8sWe>bxRVZE^C{)mSM%-RV5{IrkB zmy;=<-@nEE!d&tspKSXPk6PaZ&n==b)f>OPm*U^FcogC}HW7Mp@GaecTZb)n+40`{ zME$lLild&nV3XCWomHTB4#vWVt=x$G>+(Cmxz{-O$mD}dt&gsohw3VIG|kVDY|++7 zR?dubXMHM;yt>y?%fUq|md+dc?q@JVrn~cSLsk~|ESNx%_0G=n(kg?edMxKob#O? z*aw^$^QNQU=K^_9M~_pxe-Qkgm*>f6*+ax{o?idm>Xm;c=vc}jaOS(E1>#&>lCJ-{ zp2mCZdVuBZ)oP4OJ@){YRfqg#xmx>{{4bXVS1MB@>(4*!rE&HAH^u5?xe@`En=Mnp zwfkq{GcyNS?u7qNKDmFPeotzwcky3U(qHRA{npr2$LiJ0DO6WQ|Avq1*6MHD59`yI z^o+)Ib{4s^3zHdqBNOSxk|6op$x zTOU=C-hWL3J%2gjRdJuJk% zIutdi{#e!#h?jMHiu;tGCj|zDSjBQ4vEEk zfoMO1^fC0D!|yG{{f^zE_ZJpJ_h)lv8T4#hd+5zNPxLE8J!t>T@f|qNbP9EClDp7- z)3paW;rT0#w^gYjHlLDb!JX&^;Og3J zFYCkI>G_9Utxf&>>oXDh*bO*W)#?3Jw2hCjdM%g1M_(>TKKf+1)w5RgzNw#VLw?x( zd$_Neq>TM=M-$AuZgf^#y~wG^OJc0$qFFfUUwYI2 z`CuH?PlHyp&y=O-LDjB>g8l$~w=s7QAs&+=F)kB+3qGRb1#p#=gU0*x3eH7^I>ayJ ztY&@WcX^?gHT-FvHh7D9F#|ccdPLtR#MT!6i2p3DFZOmA^m0LS#A6a~lJDNyG>^6O zq8?OA3vl_v7I1z&CJ;WF-qX#dM(Bt6O+}pSS`VB%&krFFEF@^I)w6(w@X>CxPxG!K z)YHb_=N&ljf0~Z>2lThxxY2WqIvtOBHdEHtus*64y;o>fhVC0PbKrie|N4#MT(A#% zK5!cR#g16$WRC4P^3z2U;eRCwdUmB5`D|VmYW?-cag?{=t7#u-I}Y)SGb?DEzFV)` z>-EA=)QLHq@tr;9CAbs0ZxQ0GPwUs*s!6=1d!pr{UTyfujvD(OYqoJXc$2e;N8RX2 z`{Akzm=|_87+lOH&eNhXFFK$+xZXGwdhWLy_ft88-b3_h}T~z@1CDY-}6O3t2f=7Q@{1gQht0!G_&#RUh&}0 zvmD^g<`aD_XX**K*pmz&lU4MwT=gzTbuwZ+xcJk*tL5@p2XLc*C4GhbzLqHtow!>r;q_U2PHvp8;2)S3TBaUico4d6Ba} zg6of;z?E#c)ap$L?E_}}32?F01KjyS?}KVXXY?y}Zkq?ad&YZcbarr=tHCnMWd(Zw z<(n#iv-$ZD4_n?G{fdPvv0usJBLh6s^?K6~a9QjexHEKFXY1p%nojymFTnNbreiH< zqv-pg=spEpH0|HR`p6S6FppxKAMwbizLv9&?XfSJ1-{6Se0n_I`l$0N&9>{;KS3}3 zn&Ej*Tn?mtui|UuLGM@`WA!4X%w6cuRk?&?*@7GFk$1cUy_0qmKF-(=%5tZ|&+uon zuY;?vnZqqtHGRPO@MLiQ>GpK^WSgI%?*gtfx#n9g25y4CeCZy8b_T5j?`f?m~V4X)BY1;ZzMZ_+0=19wh(BOd025!XXWuhVA2|N2pIvyh$xd7u0- zmh+20f~%XfpKI@%!{I+P5?oh)Og`6sSYWyOb}|+vBYd_gMqZy!JxRI{u9JGCt!BxEgX8T;4B${gcgG`-ib(0f>S=Hy^-p63PDwbX7aY`;4AD*3!Qdf8qt=NFh~k2=o==*5GQ zs9Ux3J@y&7@j5u`)Rxw1@@V?~T>dLlS$H~?Iq{xrdIC0~$!E5mySzq)D#;(zWBf2UPu z)C1>5rnu7eX73h?^IaI#$=lngTY1cn{QGaAJeRGHb;P{upngnn3hm!VcPCkY^Ia18 z{Id&r;4d7ES09{4`~<`Pqy6tweu7KD-#n(@iR8i!A@Es~nffh%4*i<6MnRUdH+#W( zwI`RL3vlSYW&!1&FNsCJj63+=r8hl8zhb~}&Yqb5&e6k-pr;# z)Nj<3^VVPe^2a3f8-AJi%m>J)+_j0;-JcYvY*_@{oNivq>SdjG6zB8+^vl-lT?D@C z2jopHJ&k@)3R8rSMB$MvwXBpb>JX+zO57su5Tt&zh7G8`GHLsLOe1RoO@5f z`-to`8(fs^g8R14b90RKcfJtk>#~9KtGVeth0h?LxRqG%?Cd*?mra=rZo=9Tzcw0q za~_3)JM;5_%N5zMpQzHOsNWF}5f6Lwe7NnG|CT~N#lC<$IlNInChQ*ZBjw=Z)G9U( z`g^pGiGCU1OHZW+BYvM^$iK)jj-Dg7)f{HIEayx6aNCwx?`HeA9iHi2JfQhCkvFN| z*P@}-tFbSr-{<$h`IJas%UPZfaMrOa)|biYMfG#w7&t$akJjDJdXu1EFp>Ba`rhjp zU+DF@$Kc}LXzXt?wP7b4kN&L<;y0ad5bwTbgym+R1HCi89@Sf;>ex@5h&bq(N1+Q= zC%p<{y|AC?{w@}Fpnd7W4Xj_bIFR!5<7TW2xoy=S@V}K4TtB~zJgerpnpp1i4Mx9m zdp=rUagA{w5hLinqb?VPKMU=nTW^T?-B9Q3@;INBc$8u;)Lvs0{&Z<`$r{V`hC=F)cfFyGQt zKUem_hsFIw>*&V!u`YYv#l}<*0SVBX!Znv$A6DxT{8`b%;CkZu1@P~&g5p146!W6X zSD9tG6HE6&v7rFX*XnoJw}q2N@t3+m;~G6T82-Pn0@ryKfjdtNN%$Y5-^ZQGX&A5b zeYUwS8)r;_50MBS>zc@wQ(wxatE&omHuV72PRf@kdvf2Ye=suNa_o=aD61s6M0 zD9-6_qpZJ}))xL|b_wb?%fju}M>QKm@%QnfJed5n-+E9T%H@sWuXC3SgwNq+$d9`D z9`Q(ad?Df~wUhd-l|bw66I*EYa%6iN*XT@GFHW~-)NgVG^twZ5#G{AjpK5)aMB0~h zk*4rr(-tOJAC-ybOP|<`x-~zSM1FLOn}~=1PQNqAYGv0Tp0FVFD^zXD=c+rKEEii# zgRAmuvEF6hi>obX4QmpAcL()vng*`5oVVuiXIl&1!S%;N!tBvG*@nhjsuae>nz&KD z$p_$$cYE~f1i$O)O4plgl_{Qkz8EiG7mnu#wu<%vK9-(`O}hkoZdqRh{hBht(8~=q zkRO>dH@G-kfcD!{^PAatSktEPcP>QGe5pdqE!R7CBOabe-%-@TU&Aez5uM;84SjFW z1NSesTxE-ZtUImgIY;go47%)br^6GBOZO~{`wlNp_h0#WJGiR1nDT#WNuKlkS*V0GDqmSo8ztU|d)m6npSQpL`56Z)qukaD2 z_K!!ugWiJciNlc}?pME+^_TrJzC-%c|9d*I$FL8Z@Qmlo>Dg&tdN>OA9TTvO{FiPd zpNjz_tUvdo`WGeW{|aeAEFX_F{Y2Fv(m5ol~yM)sq3VL&MCC$r~wcuh| zeawpqK8AR7!J62&P3esHO&|ImsrrA3M*Md=&^&rH!#t|T$r~`$Tsp#^_LB}d7F*8moTl-PngOmti$+0zD+Zi-e?T7i ziyBM8uhIQf_34lLVLcc0^-TAXV=}&66J){)K;f&D~%zmEDH zRv6rLUp=4nqrf%uBYo$#`2C0%tOzcv4FqS&wZg4l?YoUUIGcUJxhr`Be8OqJa{hJ) zm+mi-f4){x-eNvpu{tMy0_u~qc8JrtvXT0&Meh;j>2c_lrvF0|xu?_n_(FPL5QAgs zxocrJtUIR*%`dAHiun>O3iG1e2f;_bOaV6|x@eb;KZ)MI%&;hMS*uNgY{(0{Un0FrQjr)ZTNdPx)OR3(9J^{B~{Quwo zy$qQ6Ifre1$rU>u;TWMs7}1ABCy-e2HKKN|m}gE+s`?7lt9NySnB zVpo>^_FV1Gdk@DU<(IkA&$;`x9rj$L6~=mH1I{H{t_}umvs}I{10S`A<9*gSvHow% zo%nOmn*hH!t9O3zPPCi{>_h!JXF}j3PFBSjVnv@Inbwu;{98O#=~DHt;T-EwOR|GZf%i& xb$NMn=mR2`SgyN$fxr1NWRm47VA=xkg8eI_rJEi~jzHKAt}oU_mUnfwxb< z82<+Ctp*)@T^cm88u(7}pXNVm^2jOv-adwRA2l(+Cyxh=8#UD@@4jJ+Hf>rq`L>A_ zV*UUAm0*nVI-?)DnQMtTf8g3vWToZZ%k(cV%)PF38Rd4bz1PjXh-&oElrx|F^1zl^ zhRe@~P_F$NqFnn?x$u)H7dI}ToK5?8}P4~`M~&#;rY+Imq9t( z?1OS^`dKO;|NrWbwas(v$WD~=J5;U)Qn{V@lHz-vdei9ivjJC(zZH`IeCv((!E3HX z`$g#53#MF({Bp7e(mR+G~-*Q>Qmf1J^I^R zRl>b@<|;=hj4!sdH1fs|Ej?nmbvhgEvD0(u`Br5S4_oDe=dHVA@H`Jcf&9x;-_Y}g z(hxr{n~{zBS`~VmX6kXuLj6{Uq2Q|LU9{gid@#|JtKQMQjb6-tblY5Y*~chXsZBST zd%IShJ}7T=3UP_1Rlb;ewPD7Nw7jb|eOY7NkI%&OGP@&{CqI~P%5Am1k}20!qv`pJ zCkt_N|9$Q~!)2*qPdnvZSxsk*D{=2S%2n-ZSMc24_S%$-dq?oRu0EnL&%2l7oH5?T zi-8aDd`K}oZzqgHxt>w)DxNRgwL4?y&NnDYw%(#u4Aq96Av>dQDm$mm%%IWy%(`-@cTZY&gH@1g;AEATD)o z*=oZrr$^{7>FkSfW8M2&fj?{wz192GEjOcctGwB8yLCfw?NNYu)N=CQ`UO7f?h(v) zyR`o*qt_K3kr(~=0=N~?e?0t>o1M=zs1BzmA-x>sj#>6!_y=0rsqy%^sST=_i(w>`=)H{8l1J^Qsj z)*Ti$bE)C#OgHG+xT)YOJqLQdqX+p%pC_L2X{FKIWxoR#m8;TtXgLAx5_7wdPmV9R zT=xj^tAlNc_byE1B`Fp2fUU?yd&QZO;JVnn1o(frNb8wHcjSi`Pub{}S1)^fhw5|w zp4QWfFNPbvoWFtUJM|N|y^wnw&iqG_e$_PM56TV(w~LY9yB4?_@_eH4*H6kK9@(uj zxTtxtfzewjVbI$xcA+2To31krxBb$=t%E;Q5(bd2HrQX=vzy6i>0dTrJ$H&gGLA1FVQzou(K%4nn4J&Th6v`z5Qck4|vdUYiO zc@tej;lnSKOfp;szQZ`sW&2QjgTodZE-qbx5BK-SJhJ|)5^nre?;O;p16$xZxpEEW zo&K>PjfY~{^k8jU~};mT(N? ziXD$5p57ds*W16)=*7`mAw+oiu zY&bhG5WceD8uW`8@*erOT{!vIpN{oGjoCOC`t>7;XY7X$d)6=3a8YvrIP>(Pde48x zd{mW6AU;tqhUz_a_$T<3dI7y|Sr6+8pK&J1a6Pa;^m6|RjC1RHm&Jzjlq||iYFWgo z*Ibh;QDR^ z>al-u9A~)H^WiT;dr+P-9CpEfbR^{=w-n|na~OtokNM^IF0lkeA>NEPQr5@qrr9HdDP1mBt{u-xBd_Dt0L=BuC_esv?b{d*(iK`-3`JwNOLu8YowUU%~JGd`-~81hM8 z1TLC5WBlkcgTck{!Q?+MCeY~RxdY%l{x^(UHNay7`11UE18PIhd)=C6xNevUy?k2& zT;`ToVmR}r`6%c7OYJQ*9{nQbzk*(M2tZzS-EfL$(D@!OpmpdZESDhWm}kIaIPb#n;$$L|a^To>{Kw@XX}*A;8gI*?%#Zz$oz zFKolSvtt9uXGkEpiueZoVntj7*L8;xk4uMMxifIN>kZaD-XRY4O1E|B5An-NtXJ}~ z`)m`BEqXxDc5kEgt=9(hi$44v;*(BSF~4|bonX^mHRK+}edamMqq0$xj1Rll8ve3% zbIcd9=sfaiy&6dI+-QSxo>(>5=;iOU5AqT%q34~$F#fIQji9&M^d>jdbvPY(Ha=zw-HdlC7(8jZa1nGqY(OkC-+Fm6P(2dG!>?igu& zSc`cSPtFB!+q)jEGg~dhul(p-s$TaN#z!?@4{jYjO7Rc&o@}@bdQ18WUc{ROV&7D! zoe_^n{~K{yQ#saQK8DVpJSrFM(!HkBx-@Gy;*EN;0->u1$>AZJ*9O4lU|LrzD>@%%n`cW9T z`ZWXVmDtr0KK9guh{yJ*g>ws=Wg{Mah0f>Jfx0t{kL?=*y>9al>Sco?*QOc&)Gw&l zx-|_~`^Kd`(4T7zy?hsocG;7+{RAGjA6$3@l8?*fjqoW~4tdtYX5h*mtz2#NYJFkc z%d}g>_pjM#xIFM4_30-H@w4D&o8W)g3-R+q^qeSodY$3?b4ldi+E;|)37NGX`o7(% zU1ezh7jB*-4Hsn{Xr0_e>x{Z~Ej}%eTQ{mh&to%aUf+3uyouQXt#9&UTdV_OS{XV= zwWaqF+vzOy;?A2O_|LisAA8cDluw7Qy-l3@+b`g}#&K%zySU!)pI4LW+pq&%g#G1f zxLA{fcIi@`z?EabBEzlKuPII!M{qu2v$OG+nTNn-^?$F!*ZUsMpKN3VxG4SsTuqvQ z^B6DwJ^2)?M?MWT<~#FhLi+nO@8l%6a_}D&fpKM>+Clycwr@4{=zg7`=RZAxk6q@= zK=6+(X+L_Ni+&N4pGF%WYd+08`$9DNxx`_gmHp@($R9t)xK&wRG0^+oM}F+x-$JjC z{fhmCw|x!Hru|Lv^bf(lEY8zBQSLV4(wow-p6G|Ssa+1VuJc|k=bAWWJ5BxvV{p~$ z>tcQ5?>f?acN~i6)V{B`7`P`njq?C2e3I(j z;bGuBp$qmk`{5LDcBC(S zZ2!qPC+Hp{z^%wWx(?RKH|?z8+% zds!;=hnzGX>jry%80`|}M#D$msfGNjizE6Y&wbi}+dbQX%SY}#;FCKOoIRlTK0EAn zDD-+K>eZJ&Qoeh~uYmrK4Wz$a5k8{a%Lt?Ax2Azx9tV&g>v|#VYr0Bx+K*jjbTnkmrB>`kaw7R;YtPA$-n_R2lvv$-4e_VPW{ zzYE%UqrDAj-BgR+5HELqi8!szLnzP3k0B5It5I}r|8))3>k*8r{$bxNx4d}7NjisU z*9%nsFcbSJFO+|7X}T8uEF=By9m~_pZ_CnsnR+x1|A?dgbY(~K^`!YCPnHWd{w!x5 zbk>N2xZ2)9NrtOJd!bi*IuqY@dWLBi`(+mO(}^Tn2kOi~{30}o+7-9`ws~I1&ciqn zvx30w6;FvrWW*XD>$m**`=SvzOLoC~y}hpm^x}x3b? z-5=blOE~tX@~MU zkA4+%OQFBmdY5FwrC%=ey7>pv|9gh|CE6YJ>W_7hAA1sOW9qfG#e=KdV&Ed>^C-jR zH&4NN`bqd$Ug;wZXI}M?2lhLiD@6HC1L5;0t*hLtE%c)Noqo{kC5V&FD2_PA*Fh<6 zc{coC%0DYy1LK)>%%J_HNDBO=^GS*)$1B13h|<@=b(c-(7yjNE{leC~qkhSG1#TVj z+=zNRUjes|rc*y&>qWd6o!iB!zNpvUaVQf0m3yENqI{B_=wH}R$tE_4Hpl3As(@!H|3|<=XJ)%8ayWp&#f&-_0}&LZSK_@Z|L=) zXVk9T({V+xZ&3B z{#0+j6W~^v35yI@hgT7AKY;kUIji9RVmJI*@1x){&?n4rU93L&7imTFXjMC`Gwl8o z=&g<(;5K&%gx+}s^s*}lx7wcy2cHxUuG1!ftCqu-7_Ls90=G+P)N8N55o@^oQW2a_ zr}bR-$nrN_T#q7s>&N8pdKK%HUGfLyO&@cC5A$A6?=|}wc;4GLxcL6AGCp>l78K7} zI-l#L*{(v-Pd{p6Nqvzu%65p1MdCm7W+GIGJaue+pP13L7`4M`hxmu5QP`x`HFmA274n9UN zXWt^erz`wr#jBW)YSs<%pP5DLhSSdFMz2#ZlmE6Q;4F9jV&ktvhC{DXih--chiU${ z@`9c>>xFob_4dEZ=3cCwv&mfL-=pBqQVL)^=#OjW z!6!O}xZ@mf*~BH-=q)xBK01Qlv-!vJG>=ZYV4UzLx6tppoKWbkn#)+Q#7F^c73LoW`7Haf%!%7rS19{2# z$^*O5URnGaxOn{#?{RYQk8!44EdBx?KCvRb--T3fYJBw29EyLyDAa2m{R#7w4=Rhi z*)`6fUfnP<+4$(EbKs+jPeyyyn4&a~-X8!LYBo6UUjyxu4mQQ_w+h@kR3gmOYh@=9 zmp73IJv?j~__t-LUCXYLkJmpqC(ALPNWX)AhmmDFcp5!#`7gNc_8Y}BJr4VVRW$+J zoJNbHOCL@ho8uK%Rpk5q_D0NSOmg4?G)Aby^^W`^O)?GdThu*Udx3AJV zrrd|YUzUFv2z?9McliDw%oo;szn|gy+(3*6b+i}eyNv&Gz%7rn>D0frAAN@x%hq=^ zdiL!b2p4M^|Fm6z^zm|SE?g1T?|*n{86viUk>w& z|8)cNLcOK_RsAZ%pZgS}_SO%DUKjih^IFI5!@8}P-4)sd+N?0FwwP)~`hc&pEuxgF*myb7rE6*y_Ut3P#oM0bl z18)0O09Pf~)4Cm&g?QxIo8+^qK%nu_KW-)-zY1LKv_=?iO>7I!tKUO@tfb~EO`NP@ z4;r^^Yhm2lx85Woo=nEY4h2K`-(N%RzgsTP?7!$vL!Nu%JtbllvqE z8Gjzz7ycr#HtJQ0QK`m<-<$y-71kMXvXVpYnD1?RRvKhGIlpTCdsFK6`F4t~xN{#N&D5Agg@84jLF-vQM0YG{{L%NgTM z?#re;O!^M>T9utdT3$TNzbW~%{xmNZjK%pulUEvp*18tYH}B~Bne z;=hvMtX4%@Z_7u!n|PSrmHbC8r~V54oP;>N^7oOJ^gT>`7#jiohC%SL230`2)acV| z4HvCrz=h+l$fvz4ntXi!q<;A)5b-e2cH!{<FpAGLZpxc+Jo=ABit7R9-H1~?o2Vy^MA zBI&(DJ)?C)j^lKmN%ALs>~82~{B-&b`LYY*kqf4y->p&I_8|}FCqU2KTOfXZXb;vg zd6(j`s#n0iqrw(q{}u7SAWqw374pxwWk#jt#iKsaImC8+gK=Uz(K$^G-2#99-4DpK z@caY$x8285y*22&7Ej(AZQ@anPrzS`@zh^cnzuAuZYfXs98deB80nB=IBQSm3hq&Z z@}K!G+;DMfJjEINispOb#>lihuC`V{z48Km&r^MyM;W~}z!&~@rL$<44j+qoqzdJ) zZw=pL9@(M&<`^G+cMtqoVjUWv1xrO3ZZ$tj{GuHbOLcYI3 z`l$_Q95yaI#pq?vzrjWJ3Dm2;``*iNvE?)AAMOX2A;RTOPN%6{hyCrr)zjUOQE+X z77Z|*o#_eAi_-7ctkl3C47bP8zHb-ag83p+4=gZTryQm@V=7_%%dF)X4?N}&@&3bU zzetM4coQY!;BPs+Mf{>ueas{Mn$|rnylGrDJ+sL8%PP?nPoqsVequwxEzutRVr6F_ z9=)gbCd7I2GU-dkLoe1nUTrvcq5Vz;c1J(jKOWs>xb^)^==Hy&!Nun7L58cPbPg9c zhGV}LF#+?_OgsTQ(JtO|809U?W3Ayl_8hpqc`mrvG9cP;`(X^}3%sB_9RFdX;p}n# ze%jd= zJ6plk%3AQTPmaU>C34P^-rs@N&r9VKQ1AS4$R}^T2jf$;2&eVr<__q^#fspvrvEC` z8y!UcY7jUpleHAQPa|;cmj8Rix|`vKThVlG5ykpJZ(ni=MZITfy;7&@fvZn`(+y{f z!;m*IDhF}ex5{9A=KX$+IGHbTZDF4;|!uyd7rS}DSJ(|v4q02Du zlt1+^&zMU6ID0SpMYWwk{aE25xO50mX(paq^!_DWmw;P?=Wj4vIv#{xc7F-3#z*7* z%WCWm&XXU4i)vBumlKDOzAXJel^n|A;Zr{tTzS&(Wn#dWIi_9q>k;7W_qzr{p_6jJ?LNz%(D(9W)xE8$?ZhUmh?mOVq>L=*su-B^%w{mJE zLwB6^4Smc9{_{SBArVmBBcarg%O zrTmERHZpBL_BZ=&4%)?AFQEPX+*sN_pEm}#j}IjNe%E&6!}t4B{#~EpyNc|)W3AzG s=5osamQVPOB(FzCqTYtTpej7U?YnBu zIOqTNFP{)Xz3G?Xm3ed~_PRtzJvJ^Qna&S=dV=#U7tyZ$XPl>V`N;nUwTpq=E~D$+ zByM`gqFt}+gLWB`)gBX$c3E%>+D-f3XmV!6jsND?wi2RE73puW$m$*GD`&Md~H{YXO{u1+muCwJY@_EVY|4_T#{0Mrv zr*8_i>prEQ(owyed6C-X$WA;j&Axg>+zyX@MMsksbQSHVKc(UP;#5ONx7q^4DS8xq zPVM?mr+dVO*GpXQ3@`RSI=2-=Illo#FVnfIQe!=Im2=#oqkP@rWpd_GpZW{eyQlR- z;%>oPuj%OQxr+HWNnMdQRrSLzv`-y$i;gOx6Rwwo7u^T{B^~2eZwBCcS!c<$Wb!|u zxh{ND_v5;YjgSwsF`DC_HUig+j$Jvf$CogEb-hahU2l@Ex2Ee%m2Fq(s8erodxOJC zbS^HpX+uZ({rw-b0*<> zk#RVOBz;N=uD5j;?>5dnccVL^uJm7NXxE(!oTck*owQ_XmocZf|7tyR%FJ{1s0r%b z*>l0-`Zd*Xy>p;H+U=bZ=MY!a>x0zpgj_~mO^K&`y+=emwX4J(PvP(9a}9B(mdZu` zwyM|ZWIC>>mk$3ZUta$m^0DsUu`$$csx)DqFb?BaOMXfs?p&+Ge7z^fb>bHCA?`oJ zeA!RlSZB82l6cbV2VT&-Wsjns+_bo5;O}dJi+Wd~*I$-{zep{}{)HFue$c@S{&G@H z&P()4a8vJ)zZb=M=_C3zX}QnSxtnrs4*5Ij@4%h3;#ddvdXY%t>iH#baiZ=S(u=$& zHF51UL%;T+Kl0!_^h3X{_2D>ACV}gic=)*2cwFYt9&nSr?JV-K9awKp-v)Qf-<<)z zoc;BcDyR=}qU~(ra#;%=ubBic2mcsBTs37bVlud%sujn$^koUXY2|}_$RQKMNH5|z z9_xJ(^W}_fjCEkY$;SF$E%Pn^#F5_V{}TI|?q3l35l8O3UgWd%A$*NbMeJL;q)#8j z({}^7@NU9ogJ*IP<}J87?YzS3d>$lpvTgZ$gPPr%&|le|f9 z?nH3E>n30xRYdw2;;O?raP?>`&u^`}BZ!N%U%=g7tHAC4mm|Ty{0?0Ae!xEd>ky|N z^*8dUK7}Jr)o|!2uS^@au^-n%z8AR8&YqyiNA51p{!7CUr=B}Ako0oPP2|n#*NlCt z_D&!!(!b()npXSYNm|xc#_m9{GrmW5D&H5Ot`;DR6n}3b<%^e=h0m$9QlX@Bv)^ zvwAAx(dAkH;R4s;m0`o+f3FbYk$b0b{p9gVBJTc~16<6wigoS$7rBhMJQ>D$zSIx- z*ZJcDz;CtTewVbtdY6YbA`kNT5bn42RL)P2y$eXMqk4nuOO?Q78O`}Q`z7*eF8G6s z{8t9Se<|lvuKNIgH>rOjaU*}{dGwf%I(J6zzdCg72uBlLyqU`6XC?=^fcDLxC}0K#!e^hOwNmS zXA2$&cigpn-wAmRz5BEc=XKo;#G~$gV&3%$;&HddU?0!}a`L)Po(^t;PT;;H|Kt6~ znNWlEX{|8tDm)MCv%f~a>YG^PO*dN#e^H?b^!A%b#BX*iG z3a-zM!??uq3E)ond~o^UTj=eFy5K78F7{oSQ44xA=Wm>w`$5R3xK?wM7v*iWC+8>b zKc2^YesPpHm5u$~siip1^{v8)+mnBAJONd~-Hw-e9-H0geuw{pb!Vm(L|xhUS^I!b zGk*R#-WL0b*>xRyJKzV_Csu%7THYV@wIjSQwLgY_-TSLBPj0I|ml1c*p`nO#FW-;! z;ZPozcXiaQ@*l-VI?@a8D zICaiqXt!}Y#-QK80Os{_LobSjq5hreyw8Z8mEkX6Jwd(6%|)R%2?Kb&d$ycJKC-7L zkLz)5+y`~|$cEIv^Yf30U)L#vJcw`qnn>Jj!u~ejU%1c89B11T7cF-}ufl4A>-J?8 zakFzY`V~H>_&%H3fa|K*0*-%XJ><>SPr>?9H=|Ln^440;|FaZ5x;DH7Ff6Ca-y!xidvX=U2O`lpRH99k11bZ1Nk_ugIHhpS8%neQ3&~{m94=| z`x%Hw`u)lG>n_=l2XQzG@rbVmjU*qp?o9ScJb-@f%6ET~k9qnT#^vU&kN#E5z>TCA z0~--eJ`E0T{3H+!Z=kwed9QF6r787?nRD<45PB{lck8A15sYaob7fkOx!p zMJw_VLF;&2i!OlMj_-dXE;nc0-^&f<_^)&uM_iZU`-gqLiT9gt72)UV2s0e|Nge{N4PtnW6K`;D)_<5>S9mh|os-Veq2FZq65c{KJtxwj$m;HL8Z z(^gJ}zdpgwz3T0L#IH}MccM5Q-$L*;Vf=n)Z7B8!J*+y%F?0%#ca`i*{faGzkvFqE zAGo7tP9-iQdEJ>Y?|HuJMYJS;_vtaj?|P?#%jkgq;3?7IxE( z!Mw=M&7;Uil^Mc$Nc4xFJiL*guY&nGP~I}ATj8;9KIwJBztB5}Kf*`Hm53&8$7F}U z^#2F(xVwAtd*!8398balKGyCyhvLzVuHann&(HnOZa)#+XD{c!-6$O0d42=QU!*iZ zotZw3ah{pyyICNB__i^DesOLVonz-dMlR0^UFE?ra>_xLerY#F=C8F;BCedyl5_ z^T{B7?sDpkfL@jfM4olwJsgKe3b^}>pQD^D@yy@V$9NszD-$Sw`Bw<@0De9d(foWR zruE}~j}(KCjl9G9gpRC#orC?m{(=3|B<2IR)p$QJAENQRA!Z%s>-}?bJ*-y4DGyH2 za`wsaMLykY%W?lTIkNWc7H=@`Hhp#%iqmv##`>SW;JR%RSdVY6iMLFFI@=&r5JT^vdH-9Q+&bx^`EMhTiPm&+}49V4XT04)c8Vzrp)Jm1`W& zuKD0%Oa{2v7Q;NGEY^{;zHTJ>yNwFKN1r$cy^OuQl(??R-=jo<*UUGDARbk}6MWPn z{$6Lj^5FSFT?hqt(^g=54e*8GinEK8;?CIOop1N$u{5=cpgIQRF;2m-PohZz}Ca{BFz7 zu^;MAHE*H4RlZa@>UUk&;e6Wz&O_c^TyL)~j7NLt3h=krcYr(9|2L7iY0v{)1SPS) z>*;C4Rn!uWr&Mil`Ls^X$w`(>Y4;&x;KaCgp1)VobA zIRgHJ7lYfxBk-}hGw)ZYenZ~OvtsaZuNJ|3jgHRC`7BU|$F+EtOFkmCE_~$MB_E&%VE_XF$OE=Irl-<|l*AP*gd-XtAN zMSsnv;=M*4yb8Uuei;1aO)sviS?|F0*;W{@joC7q`jt0w!be4HfRDKLB#gLQ`#W$Q z*yjxS%f?5-=qQ%oWc~iX@gCSsk9^cot~Y0#ALqf{FrBz_lKP`aX-5kq2#23$XZu6nsZ?{$8rf*%mkI3L@ z%m>u56rY^#i}?~6%pKnYc#hESZOpH;b~5W9D1N>;zMY@*OO6LO5ubxg+ZuTj9sdBg zE6<`|*ZcMq#J`;PC3A(pdz+nQgNPf?Gti5G{T%=LAnY?{!F6zF+kJ33y3JV9+s+Tc z)xI+5*GXwP68^PHasABi!0ToAn&I&O*bVg{9(>FDK%132yfS^$a2n4p$QG3 zuW%p!#v?1v$oCzI>xW~Q->i)10aM@<)|Y*JlzHbnm@o6c&6@O1;6&!VKk<6Wn+ClZ z^&DJQ>45!5r}ytj@z|anIsRhX!DZ18LBz$@4CqDEg76XHN5aY9eZ2;HedZ;vqeTx; z|LW5maOqhU>&VooiuG&n2ZNijGq5h~X9aq|zd|nNI~F0Iw&`16;_d-nFQW4U==G_C zcyASJW+EOp{T1(fQzr3yM6qZdSIl>a$2MI&fZ}u>P33rg8gqes)x-$w^I~ja%!^a` zOYHOd+XIWK-Q-xzpFc~0KJPW=syy~LoA!7Wah)d!{i?XaTo0||HxgF^D}bBO zNxTmQt)Y_N~-Yu2m=kNBGXpMGHfXv>nir<4xrz-Gqo^^nayv^@(=HY=wq<4OZ z0(VL;obf)w7+;2Az z#ObUrg8Gq#-nxi$#bM}mKmHws8If%Qahv-!xNwI-@67Bn9(s=|h|}Erm3bc@^y_@r z6I>S<1a1d}V?Q*T$FV*w65K7|&L$tHSzFHAl1`X+apvx3;xcat`{XLh^AgYm`^8F2t#J4&{1i;ysVJT$*)1J$C|naccce3J1?{TA9Cz+OXAkQ2;#T#KVV(x+Rstvw#!QBv!2gir(nISi~SIfbK!IJYudKB0pCf3=h4xvI1v8oK@!(hN*(ySIg;S- z-p~5oQTLy9a;9GVyN>%kb_@0CNdCSdAMND$D^@_9vcwQPC!2D-Z>yM4a8s!6B=V6z zpMqZ3$jx~uJZlJX^ZPw;wSb?0bn#{Fi7Vg#xZj@qy9OJWt2uFZ0guaW8jN_{hWCFW zEFE~rmkt2O#Ln_#QhGAKs@T=J**40xCM`^ z`~~>9KHI}cZx-LVA({1?z(!1XzGLN~2`+~cfzk{js ziQzWp6G7L`py*Cbri*8 zcJqFsDrWuvE3Qs3apB(vKBiJTtP6KRydQCA_Cau)V%D&e)1Lbt(S7sMk&! zME$x~4Y;h`fcN$co_mr++|)h`y(%@F_4iK45SI)2ekc2RU>==I{ntbPRK9|>y2-^(9vdVhB%$#hPj6vNL+QD2Cl=7 zg3AlBVelEX4ct`y2=3fn$NAiw1}?q-L%+`C331R@AI5clcoynYpYXwcVivHE&Bwpf z(}#2N^Ip60>@%<)^rBePS>&U8)#7*#@c%Jod%sDD)0g)LQ}TQ0-CVaqiMtNx)A7s( z?yU9?Aug}*^R20N7W=%8ev9`wInxhu%Gepu+rJm>fPc&5od4iCJTD)w&rZ(t5d|iI zJ0cMCD6V~jb!TtP<9S)#g7vF?mXcmw3S{1D8Mxe<%O$S!%msJz_XRg6cP)Yb13%Zv zQpdsVxJbNzxgQ2{zX3bJg;NIpPKE-vKlAUnWZy;$$;Wo#_dfTfFUIRMZ;tz{7&n;p zN5_KOD*yKP%GA5r`+)15{C&(_Qwq=d>NtN-(|tE^U8OFLB)#3bn&)d+D7fxc7x$6O zrvLx<|6m5>$nt+vUFiN5@8bB+y!rHdZ(33l zu{fD@gDUMKooN-1`f>)o!Fq8;(VfJ_6n_4)y(;1Ro?13@D{-3|0v|cRV7)j&&sPz5 ziZ+0cd)&b~RigqDh^u&hKQrgPfWO|DZxMW=C*rwC97=${=+T;=vueMGzn%S6aB}AL z;(}iy{D0v0S9_uz`W3xSVgHi{4)A*Fyd(+YIS@`RWVk6)$qA*@(O%(fY+tCC5)lVW$bv>5-;|DNLYKMK=-aZX~wJ4&N*Z%>J CHw2vk literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/23.npy b/MP_Data/pose1/10/23.npy new file mode 100644 index 0000000000000000000000000000000000000000..e77e10c923d91684ef9d2beb6a92b879ba25f5d1 GIT binary patch literal 13424 zcmeI2`F~GG)W-)cwbWYFew7vtifV-*V_y?HrPSCPyO4-jGQ<`MLBzfcp?0xT%6HV- z+V@(jV@oZyua)A-`JDU(&#%wpm;1W!`P|Q(Idf+2+;1cVw+m|7F@p#fBg^#cHMB=) znHpZ1n!WwYl=sT?9uzt(wA;Y0gF<`uBHplD|DnCo_|PA_4eph8U$*kM-&QGKuDmze z```Y{CWNrrqHhGIUDf%5m+0!gI(WlJ*Te50(Y>tr5bZ8cr3-X#7f!p5_JQf`HJjWd z?q1YFyZ1*dw~t6~zdr}f@&u1)uk*@ZmPtmUXaJ$Qu^%ml5H|h^uyFEPZBi;CP|K02UBJNc! zi}9;{hkm1WZ&14bvDS#+jGT6rbaFwjzo=dBZ==1=yaUuO`@KVct#3Et(pv_h-F$p~Bc3n*mfQO#-lyku`&+nI{XRWR?RG@& z6yhp-@1t~eC61t7)Cjyt?cR*;7`Irwvd$`LbYF86maJ~zT+(+E>{Q!P? z;Q7bY?iGK1m$+J8>j7PD-`ub0D)a5e_*{|p_xHrOyv}DZez~pNGHQ3Fr#7YMO!<{p=<2omliSUy z<#cZ!A8C&Enh!89YE;4Z&{Ypu?MrLd+cSKL_QafA7xA^wZhB^#LG8*nGe5Pfx3}=T z+jl6FOuHAuzDKr`^h`f8%+z>>RgmEp(QivmI*frFJ!m=h^%0hYw`hy@>9M zdUx&1IJ8$fn_icFxcynybM(9?=j?}n;R4)$wWnye6~-*0c6lh%V?2NS-Zi>6Rf>Kn z)2`}#oY%3HQQzL3lZn)BvrPlnuj0853ZGBHbMa%qy`3G9S257c zf_{nwHD*b*yY>j#8p^&oEfGe5BA6bj7$DJ1$uATX>ipx&rH&rlnLx#`2q9H{!@wDxs%vG^dsb5 zCl5h9<^=l~Ul6$Le|{S2WlS9O;`7z4pZ#t+{5z)4%bDz`C#TOMe$#L)^m6h}a9g#( zSkmj6G2kleKbS9}Z!9G)nlxqonio8e@`w4vy}1+7pS@KX`4RD5Okf%}8~m~Egnw)7 zw_;I5chb8GsmQ-BH2_=}FAzf9&ie)2`(qfm`e_gJx?p#3@pCb7@5;XJ<84u89M2Dk4YG8jJDdhmUb)$mbb-2l>yu3dTl zif|r8YWPy{FOx7IUUD7y+onAy64yJ*@pu<>NB-Rc6Ak|w^?6>*m#7~nO3o&31Gt{8 zy1{i-wm$03+wl@UqT@JldAEN8=|zcO!M%d4_l8|WT`9l(@Hby);&}TVLS1>eQaGO8 zUx4d?3o+!QPxl13ZL(k-X6Mpy#JTNzj+FK`@j*JvmAyL%qjZMW5P;G@RJ@z(gjLlzm==kfa_J`x!*f!@@4%=vuR0sbxr?*sPTQRuyW zMNn7zJ3g<8!&Nz-X4`b~F?ILAU)0ERIxy{C73eU8xN^t1o&u8368D1g456#2{vY&e z(-h8g=a&;mugh)a{D;*_74+3gfQx~9IR0V7rW4m&)91a`T&xRs*AI1~&Spj4 z?7%a;Ug9QV9m%8TF<$jG@6RG`1NLqA!7FfgIv?_^_omLEc&vW{>+ALAd=~m(IB_wS z&nJ3ee{hrOA?iohS_-|1XvDly-jVS6?_-|F{L7JNy|2V#;_C80(Ax(ESzqkhMB=g_ z&%4Q&1zh+2CYHFF))GFV{ws{jJNOXs%L-qEd->Dzy}cF3)21Hx+b%!y=MMaZ`4R^j zgPU_};qQ$)$K(B--<#r>mfUZfe9+snLC~ws1;Aymp6FK;xsCYcpH;!dl1!5*PM!Z6 z^CivLCusrp8P(wo=O=zNxc7M$UPqY^GXH50xXPTu`i`T)#g6P4uc-7H@}M?<3Z3ba z%ynB}%*Md9e(g;D-qDluV;)Van@8~oae#e}*2Qyf(-XWmRma`ndOMHTZb{<2t*XL# z8#oX?Zg)nU2kf51(5uA?T#Qe`e&TwSh29(A7~DR5i*+QbbmV@c?_u9lA@!n=pY6|4 z|909q>{oin<}t*T&p>Z1V9A}{L?ox=LElW&F7c;(lfnalfFN20CY5b`l? z4Y-(D1?$BWm@^qX+d}xe{psh_>5DXR7x@d1>q2wr<-pzOS2Ui@`X+tg@9o)!@#F?|M9l>p;f^CWGGKZiyQ=h}%rVg0sOXF7DWS_9c$eZcbV=-})qagbAZk*!$ zx9vQYd_?w75vTWhFSrdm)|I%*z~=|$_l)_0DIxHQc?rELv<=)9Jd8Z6lpxMezZR@t za%wQ?#mTAQw(&olhe`p%h`W9sucJ!uFfMthAJ6X#i8w`Hh4{T@ZDJ@M8*rBMHnSD$ z`z;?pTsH0pAF+?ySRl6jxqg{b>JAoVRMJ>*3RXFZAl_ zIB>D(BI2}bXMvk`KOr8Sv={Gdk<<)%a8bK?Udm(&B_Hwn0{46568e>iqZjyyS7^)Y z^vOv6j;Yusne^U&6QH-dm%+yb-|a(OHOPf=Io%UJ-lqjIF59;r&sV88$cGx0KJqh}9d~Wvqa>2)|)_gvAsU6VU4A0Nw`60h9 zpsOi83UP{OPq_cqHM9ECxTpH_Jbs-1zSy}D`;3kcW&Ok5ysjIq$A02vD}?^c=X`Ed zzb~3W{yN`&jys0yL5ykAhWthUH{j}KM$C&h<+dWO!ub8J=OrRup?>3iY;-sH%ad2J z|F|x>uKyHV$MX5#e$uB8 zaTkA+$I~|t^kTw{{>1f&_28cP7F@5{-kZ415X<`Eeb_&0R}11^#?O&=uo&SB_xcr5a-1AphMpZJONGBgZ2vpEd?iVfx3gO?N>r!LO> z;m(eT)2xXCw>|RWIT!!^Q20+8!#-DP;i~Wc5Jf)Xb`sb3mH>=byw8U9E50wl{uMss z_TptQUb~R@4bvf*`N~iDJ1FZ%-0zX}_0o3mbn4d&f6s9oeh$5j|D3}(8lIzyXT?NmH zW6dI|UmG2UJnPlfFz@E?T!y&k$8~Ez-iduoZP_@NxLF^<^B6k;+|+7~{nJEULBB3q zV*eC-=c9g<;B%cz*o=N{d?|h(z2xep4^UWbD0|632t zuh@R13&o>$cLUc~g0N1#5Awp_#Qgy7?RgKq?G%gmyIy&S`#aPHdLf3w-`wHvBRRVy z=Ft@R6nXPRJjdae#PuAqeGv7lgEDiRiTpc?DO(%;%9PFMR|aiF9!$Hns82oX41Dzb zSBOVf?}Gi-t^Epm@hBMWX6n^8focA(3IDDlzM94Jo_#rw_x>ave}!V0cQt(--luZ@ zNIdTa{S3Vhc?^HiLO?IK?}A>AUa%DY8~8g;%>0)5s^+6OrdhEk4{Nqsg zq*MS`ReFP)kZ*A=RRb=H17!-e;h<&4R#H=oxUG@DcVa`FTOk zPx4!=3p4x#_D}h~4d*NRJ;p2UMJx+Ui__k01HC==6m>4zWKzWCBYt1luZ!_|8Gof6 z;xEMC1$xJa>@&Y2-e2asdKj0xeHcEjOqm{}*N1ukl!M0bI`WqtiJL*IpqEPnnCDAs zOroxx?_Ipj z{@3G{5*Ka119yvaK(B6OM?8Ao68PA~YcVf6BBUpcOT9k=t{Ytdcc*%{As?HCzZcxu z=iuIg9V3W)(P2DaCt{i3jtC|n9l`VH9`g5y9=Ej`anXJS;t_qDAwTk-|3dOHcTU`- zb`=!>A9=FgEV_5T&Cu(<*Dx+ue-QRVxiIt=wVS#F@H>f$PS`;AUR)*k*fy`>BR<?l*t7IO1}`4dz8hfvamjCxRao;BxRea5HhlSmIvJ z5#YwPL;c%zLK9aFYJz+Dd3}iuc_WG2gUQUx^k99}OB0EUUT4Ae<{9AL!Qg4|+3*R* zE8GK)b70o_(D!Zzz1YtCw%a5J6PE#w`LDU57Z+1!6L)4YeDttza5pkFnYcGLh_WAWZxITS4g1GA%3U1zn zV_#8&wuK_jCj56W`F1So$IQ-`M0#83SNO{#7cnjsS8_T0dzIt5s`KC+J@2-)#6B;I zy@OtLu7JALDdFFdUcE1ke&q%Jj+Tu(;JhUJmIAje@AJNK;sl?&h81D|V%x#J$Xxi2 zFg3Qp-)7-`#&+@X`pvlpKDzn<#AEwLbwFJ5CAjDx$9!&R&7s@AF&WX7{V! z#ARY`^sBGu!gy7=NwLI5b^2qyh5m1<8)Y?UM$G)1IA< zeod)6^N5SiKY*KznZR{ezzX=EJA(Y!f#DdhI^2DxFHNp znY<2MG<-dpxb%O(K705*BBPq1-n_ESp?84~p?BqaVt>$OYp~Ct3|KGrRzwH%`@R~u z4!Oks6{qwFO!HS0?!ey*9*R7x)_(KQ@2&S7XZ91&>o0?b5jR7xg3Iz}x!?Mi$HITp z7H~1`8v6$bj7uHhJm@-0ac(k={u@Plb?hkXqaGtpkNdw;xisQ;8}fnMf&YS=CaXsvo)w&b zakmuw^$(%QzdcZa^Y*$E_uD04IO*-ZADHi(aWydQ-t{ay7<^44*MpgLiMURAyo0VP zsRYN9jpGq_w*--1KJf!LBlz#9_V$)e#8s(%7?({>KZo}Tn?c-b#rvf6(tmH+(mo14 zap`$$TN>v9Pxgdf74e6^-8zN$w+F4d2U5S)`2VZulCQvR<@;Et-l}q}KNG;~?%!P4 zPqg1NaQVE|X?k9N6FHx*BKRV>nlcjWMULK$^{X521~*U6@cQcbYyh6~ZwRjU-9SFw zv*LM)o3?1HFM-SYb$LDJ9yrpMrnj?hGG7~ob*)o>Zb97iIL7`V zzv6vohgO_P{&GQE%!?e`>mvHA60wA?x@x*lPChS*x4(@e?m~HAvZJ%DS^6@CAr>o?`*t|I!&JIOY^bEr=nkX=REXc@%-iFV^Y51c#b{<*9R}m zfq&tr9RD)O^L4a7&IvNhcyRAt6>wGlGRHZU-?MfMpR3i&ml5P+XT3t4-nmuqx67ij z-`YDfnK$R(XFR`6`1^&|ZaT-)umkE=RSZiaAFp_AaJ`m)=Mk}i*eAWc%i-gCIgD2p zZIAbw3&_ZEKKhH}ckhSz(tPCc1o)WuJuojSW$||M7t{H?A;z@fI78xth^y9R;Uiu( zfxq66Q<0Ck`xxAoDGDF`hi@+F?U@h3^@;h2-)kC^NP3kcp5u>diFM)fA49)hr|XDc zwF!Zb>C$Hs`N;Nv@woh}a~_^QT|_>j%NOu*O;S*|;@a_Lq*t;axP83=`ia~y^R0AlC1PM_8+ls&MM-zRTT6huqf(H`wp%pZqBslJPb_#JAc?t zoJ)0ud5BZK&C2Wj^h4B}a9j`G!OrN{wVRK9MhqLl@qZk{d5d{~_mugO&jZq*&%?68 zrm2YYz>nxx9he2ZT3uu^aTnN_^W2_)cXBf(eu4N8#_)JE{f7AxAzhY(2S4UGcT~dn zhuLx;@r#kM@bMn=xa{1YP*?7K`ueTj65k&(E<+N0^7B6Cz2*NuXMgNGfw+0b>&`TZ zLY(4dJh)f(5&HFZ4dwABCt-e7-)+o^A&hdM>cZP-JFA6LM_ntRI{zbWC*gxHcH^`@c@d(^hTqMcg zo7fcbyRd~=7v{}v)Va%)p8xCVzb6mf&-oc+;bZpy%j>;U)#>D;a`Jn@?cu*K*jITl zUO9Xf=jZ9ih~KIq@HZd-4Ii)ieXJuD)g5`zx4GWL;k<~)tM}=6@)te$+@)Xh-(kGk zaTAHl&Y3t5gOYh&$Bl;G{E_~i&C(3{Q3q0okX{!q54{TIbB>#qqaAVM)drV0P9Yw5 zG!(x>3jbjCf3k(+{4sl7=tCxg>xy51%fic5AjQ+L3C1gH`eVGJeQvxLyg}*bt18Wq zH{E*YIP!4^cXA%~WZ^oQ+$WTLylwoR(slBIyF7~5-S}eY*G~N%{hBsw8k3J)9E^U& z+6SmBRk!$3@-Y)~C?9`csKh_`z0>}N zA91;25bHPc@0qTc4kK!DZOvkxb3=FEWJ1W)I>>Z7~Dzg8CH!HYf3`S<){ zpkMV2@tcKnQ2%P)rBEOFEdK~T?vo!eE^|0D=EaUW$NsbU?_DyeY7 zw>g$>0DrcJvo;0(@t_77g~s!}`TO^+QlpT_ImDgYl{ zga6-=EXDs{!X@5Ce$SJ!3TdYPE_z^fS+2e(f2RpGb>R%78w~+Mm zQZl$Z_!#wRs{VxiMBM(D{hLW}duMJU`i(pQ?si47{_VH%#MSBu)-Q`?ef2C8p?_5o z+-&R5Jmnuv+Nc@Pb2fU70jBEe(Na9yqZ2wW~M8%|vIn}ImxAL;w#q0}A3MPwfM z>moZaFCrq8znez$Im#TGjd_&*e<%8=-(+52Hje+EZXQ|8i^{>@O=^>meJ0B#(D&kf zL(Cfu?$tcDh`0{o_lq8z{{JU)^vC(!zTSs=&t2(hag#N#`o?ZF?-ODega=q9I zqkL)iX66UK5;uE?;JhlY#*8GcuhsVvx7G4s|F>;^!9J<={$Gg8on!eub@Sdt(#x9< zcM|tjf57_a33KUQPszE7u4+LF_F-M{&se&*DOJF2typkZI009YB>&w{KK#2M?p?`cbQK%(->#jlNnAezhvb Z>x%!|p6=zwW*D#gJ|nnj6hAcZe*pDlprz= z)ZVL(6{9vaih6Q=uKWehug~L``*pw1=leO=xz2UQ_l`L&+BI+4F`bAIqy2(IhV%;e zt1bP$?p@Qbob>BGD12ymkAd9>g$IWaZ`h;%kdRb9q;HSGA*tU>SFT>YN;&^>a;*H{ z{>vhS&?)n71g3t9FVA0~PgSGr4Ih0T`S6&&%a-YHf}c$}OP{XX8%OOXg4uo9n00?uPV3yA9)Z`_UJ-s9kml!1%=6uTT0?zw2mjSKGE;qjsI+ zAh-V)d4Ss0h_v?OJvjb!ZLW|`E$jOiwTqqH?qb#;K6(8)+Pz(Sub@3C?fFUH-lgZf zB^7Sdr|y)vm)hOn|Bzq%f%C4*e}i_<_ihEX%l7ZN{lxsg@%;7Y_-;;I-cRi&xLyiz zn|$*ieVW8(JYU8CIZN%{vA*!L1^Yihd)U5z=u^HbcAnbBUwM!(y}$Mzw3n>N`nDyW zP`j)WeV@3n@A14V*W?v_S8-b|Q@f~q^CEq>-PNz)KgA*s-jjaMs9jAy!Oy2OLHx3G zW;|~e^u9{%E|llhY+kXOo_9G0U>;S*b5E(=n-GKN?7!RKV=hL&B%K|0>H@XftYf(@ zULDvQ__I^W0h^2vep zUg~#oAQ#u$p@2I9)IKBy&$}XL&~C@HI*;cEuiQoL>Uv(p@6LAn*rV^Y0=V8=HM~ac zrso;1yXU>Rz4T7hvCf#Z2haO`%JEltg?3xL>P+}o&G4Ao?T~kW(RUeBG=oRq-)=^I z*}X?D;rS_+^O|&!$GPRqd|#?g2k!+p5Bx9D^Cn*?>ejB<3@+9`19!P+&m+C)JrrCn ze~s~p0=0f5?iFVr@nRV2Nta!-5?pVEUMJ4vb-CgFa^iN+EcVIP1NAG@r_3g<7AGMu z^5X&EZcMtKfuyfIiG7NsoT2Y(dba7L*O@0UU;Oqoag%M`4B}qpzTjT|QYXMWnK1C@ zzk{o4C9V=z>&{|aZvAf7kL?XE=9Hg9dQl;n^&KXFo397Q61Pd)nb%2VpRYU5g#YSY z;CkF`<|ih_L7$xFuL3boZgw+_*Cg-cem5DOzt(CN>2=Oc;9_74)R{<%jf8(+_K`QD zFfTg8aI6FOYz+JKivw4Oe^>&a6<6V_SDi1Fqv z;NH5Rv!s*192!a7d(;|S`ZWgE$?d|4yNsvcul5fFcl9bp5EmO(f_p!#XP@5VL!pmu z3vT;0%ox5K+~yIeei^xpe8d>5taaUMoy7)*L^`zGYgUd+Kh3wIue&LY77$k@G|z91kz6M~ z51m8Y9xn-QGZzK7TQZ7NyacYpIkU$=|2&ra9bJ*@=cHai+=wV}xoQfp>#o17B(C1n=Dht^hUcqw zwI7I!^@rI1P`U@+B>cVlg`szA z-VYxU7@)ynXar{MRVqA9Pub5vE-W=Se>;RWDegrqKH^5(r9Pn2GZ&0_U^kH!G z<|WVj();76UzNWz#;bEwl|nM>F_rtyKr4y?h9`Bg+MQ>96+7OZ#r|o zHIHH6kU8#S-!lsz!{07ke}cxNDm)CPe&vC=BslfixrI2S`XXGT( zoBkQ0cRya`ID4%OA-ygz0(q1D6vy+!h*`wNh0#1OnJaTX2X*5*=~#>NS!e*bsCbCi z(c$#qB5nn^CriaqziMkK_Q|&adC+ksEqd`ZTy6AI|IR%WUkkntg1|0Ir{3J|I6b zr2zVsi*Dn5l%G5US3w;(pXFY&{_t9GJ$*IyN%vm@@?gt`K<6d2Mm|NEk^!hp2A0*zRvN_>=Q}cj=#&i$rEtb_M0f;a(*!4w?i}I{%C?S@jYk8 zOXyw2cj(vK6TxwA@5uV3o8YEhI_TA@DI9-;DC|q7dT*|W*2TbW$->y*O#BFNm*Y6N z_m=lt+q?+Rm-VnNy#0euVx0M#j-^kNZ92GWAB}b7_4LPir|%x)b##Q+scV&Y3XMx- zKFIxce}?>-jL)#{#92N^bcWl!u6G>eb@9~^jwf?^_^WLH!N+@Qn4b*7diQ!C9SMK` zP3TvbeRB?RZarI=xD3n0@o&4z=cX@{rgo7jZGFW@LT@|Y?nvBS;`3URe8uNTzuO&% zdwpJUzrV%8M{bYDe5nOohthYQ&!cgZu)frWK3ET4hXKgHSe$bP`YltJR)${yysW_u}YR)IidA&x?3O`X|VPY3etaxNi6(d{l`k zTyG8MC!*ih7ZHycU=gQNE2k1y+Z$rORZ=?6|CQ0}$w$?A0=;bU1;;K}+=FHC zf3p+)+L6@}zf%pC6W5;#==4_J4^!)DA^4$eTqhw5kY^hdzZCu-uSA@pvk%YN*X?@x z$j8qhPFH$8{Pn%9i-}8>0KMDYp7Rj;BoaLP0Qk#2S&?Ts?r)r5uJ;r6eXxl08S{5b z(yLB<-}WB;2(C``>IS}&&v*N#D#j<>RQRht>)>xLMPR>De^y1E>lXzOr`%Zvap~X3 zbP6Q@o3(gcMXsQKG5WzY;$FyceAiuC)%>^Gc3_jxCYu@VUK+>jk+uK5f9=oDaND?!Sz2nyi0- ztN&I9liu9l1}J ziN?H$yA|e=kKJ^Gd$fH zA;1i_SGMUTYNgPw(5ih)+cG{lVtC zKbhipoz8=M&98DiKj-7~vHw1BeeW>1_KN{`pN$4LZ`(7!e}sL$2;#gv*n{!vl&5Vl z-f4U zw_b*tQKZ+qnAthI(@5}$CeVB3^MRX70CkigV%RR0c$ z(;hE~b}y!1eZ;vj3%F}n4&$}8Tl6Dt3!lXEuGu!kV>>Lwd88{R;(5ET6|a}jdf10$ zgC@`m-}k5!Hz0ok^{X%Valc<2hmXwpHR{3MOnYDMTodzX^Hk;axT!4W#r*AuylFiK zbz(=phmX>I!Oa?hdN7TGpjT7Z@_Cw^dpX6gf_Z&;@l8;l_ROGx#NFrJ;bUff#C7|` ze;o8nGl0u8@6J%%_Eufgvpo45#_Kvt=)D&iQ%}kMWuY(TT*};qjc$A~Ufr?Bea+h3fY+ulxLBCnj`S}467*iuMZ{_T7!X9<>}-xW z)xw_;r;<}Q2Bva3>mBQtEJOa)xQe{)js_tAazZ=kT?yY}^3mblc^+>|p2vGRF)#KC z|K2G34gt3fDkhNLd)^6p@jMV*EUvYO)x>O=@HEcS# z4qpZC{w}CAfMFM}>|oPjAkFRde&l8*_?c#GO~{(I1iPyFZ8 zchT}L^rqEF#Bb}jK%EQ!b8{eb?Cwc@F`jydT+*9))#m2EU$_`;D&$t{;ES`%FkvaFMVS{hDoWmTU^v(&F7IQn|%>+cjpYaE?EUWQXN3vOj0ECpi$I?X7+h-f$ zZ+;uc`|8q(UEs6-BOce8c`c|L`d4 zR<#LiNqSkN3&&H3|Nf^Iuf}-w`HtW!BntlKL}iRupKb+z+3b68ea$zM{N>a8h)2I# zgndI-%!T#qeR>lw?REOQYa(ek}8lS10MaaDJ=lQ$Kyi z{zLY#&z^YgBVO=p_`A;=px$Kks)=|m{5bbpkN=M2@?;+m{^tt#+ur z<}U&`ZxcS#q&KUIgUdX8j_3=`QEzI*L~yZ~|L$hnW zx7+!5U@z3K2gT{Ke*vxseTsP$RZlKLoPECnH%q&7oMnEBAnvXC3|tfm0k?5&aNqOZ z-obcfOc?98-^BZueE1q%jH-@%lNS^@fqe9`_pA?`jCJjjU*h*q@6KCrT}guL9Tnn8 zZ%V%eS2_4SLZtLX9$fSzaPQG9^y?K)LY?Tt0f^H@jp2CC7f1Y}e`6l+*jR8=_do12 zZhU*@HIu>Bk0p?QuUSuUZ}(&NzxLfIqt!-}}s#^ZJGQ!p={sWzLqSYMy@h1T(W4eNn8 zMJKK|b$1uI8deH=yPW6Un^2bbpOLeBQ#|U!pX{@D0rRWvMiI9+yMyZr=McYFq6g+z z4&!~vZqA5x;l{sMMtWT{7sjh6SHwCJv*WRTO}T&IqaH=_IbJMzIO)yk5#T1rFwC!4 zwss?5DwqD5z-2oAJFMyQax!uCTW)YsHU<6aEipsD>vG+y zx(9sZotoi3>UW37amKAg-rV^ti@@vd<9LcsfnJaPbtUJ$(VO9GvD{@=+US*d)_7ZQv0=E z)Zl*Wk3(IFMVYZKgynUi-<3eW-XGJplE1wmptspxay*$EbtdlecVnOCw-Aq>@w_|v z>q49#Gw&GU@piezq}ONbu+P4)pcmP0&m+CL{X61Ur!!tAo$B5W{pyi5d36f!SLbgflAl@L2;8gL9{Zd9Wak>kh z4U2-S>!Fxmd2kWu`DiiJkImL&Ir-Q{e2*1bW^nOpndw9eMU}Y{mma{BY*w(A|5kyH0IrQ3Ee_mJa`Jd z$dHN0J7N{~F)=p;+-Ba1de(W$PxO&KSK7K;RUY{_@~>IM)%$g4oU{#ju<1&I+tO=MpQha`oFlSwMR4)qKDg-p9o{=!MB01bo%)F1W{rrV zctoAFx_bK;xQHFf_lFs2_kmS|*{9Q+&ZPIU4�&^a7XP-fv6X&YBGFb!^1(H24+2 zKUlL9T*mF>`@@R~-DzB=?RbpW_P>bn+E>3XAnvB}{mNT%5A|TjpPfMds?$T{(=}R$ zJgfS{hLc`4$OeBMydB(Lt{(}XVr@9ird<$^S2(y0`FM{fa=$fV5s$mtI|2H-hu|-& zY-FG96Oji!zbpHDk*FW@Vs0z)k?&7JujT}vr{}#7J?0a4t@ypqURlBWQjzJn@0o6V zo{Ha}!bdJ&F^2Twqs#DjTfXIaX&E<({B+k?aCIac`B8N~_a`n7@_wZny@uY5&k{~t z1Z2m!ys<%CKf&*iA6MiL_?UiWur6HgbKOX9j(rWiTQ-2#*EZiY;_eW~ug>;FeVTD^ zM*32@eeex@yqO(Af8lsW)SHcX{60aZU)v zyx4qo(XSo2iTUHT9Ov3Y*jMd04Z&pr*1Mpr^U2?P!S@Zlu^Q%4_HVp_xc=rj`gJGy z?<^uJdIWJB%;%l688I(z<{-ZBt>O0+*Y^p=<$Y9Si7!w^lY?3RX>M>?yuu{J@Ay6@ zKDiEmv*pim#O=wn_vjky!DWr2qY&ri{fI|b;=dosh@;zxyBhrdV$ZeY`j4nL!Up1abdON%n^Ts2< zh4^$n@&Et#e=`H7f1$mY|EK)BvU(X3P5<9pCr#N;+yrIddXEcU;3Gck?|sBw?q0aB zx}4*&E^P1adx*;d_pon^J*QVdU*LfyZu+#uzO8$uUrpTWpWjDZG)Q5-Xjy6cE^o}< zPM==LPrNQRkH9%7Gm2#5x^@lTZ@;=4?<4*8!C3d^axJWD`D`lp+xil?m)sNQi_5yH z4?XWnJ@^Iw2VTQp468YXeBAD$;No;o_^X+PupZr>@!)y`|32UvkHUCO+iBpk@IZ`L zg|=!=zACgB-b?hN+&Eu^$%}nJq&uBN?Kbi|^y`}aGn@MLdK8CVj(CgsMMR%@#C6Lq z>!FY0zbDuSUk)a27gxf2i9M7a(^b literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/25.npy b/MP_Data/pose1/10/25.npy new file mode 100644 index 0000000000000000000000000000000000000000..7935487c55e36d7096f1d135d69a708025bfb07e GIT binary patch literal 13424 zcmeI2=U-OG7wyN`H5$8EqGL(0VZmM*u?98R6^&+4u~$%0Y$E~|Y#^ct>ZoAB8pRrs zQH-&~-uuDcutp<4+hx|~FSu{-<<0q=@2stP^zhbZQSwpm&$yxqRd$jXi z!PFjA7wvpzR=evN$37=EpF_KPS`Y2cBx)BW>O6pdjuIH3d2s4{itT4UwaYz6?%HgKnsPW-pyu5CBT)NXPeM11ny4Qdy4@7Q*>o!Yfa*C+Nl ztt&mWSLbGzqqbd+`ilIjlCROPSY8_Kvf2Bsw%wWch4No;<#YR-3CqB}8CdKXp7$L7 z$Z}D4;Bk9Zs~Fnl-LF?{yI$0X+KZ*XKs)z(Z?7_~>owcX!a5;e=Gn``;8Q;$PvVE! zuhBl^2lOlN&rY}PYUtb#_R1=y-LmaYwMW-+@4ID>y~-SOX`UV*e{0)S%l3F)kIRYv zS+F~v*RzfzKU_3{-dQhf(8`=^Z`aY#5FIJ#{dv1kJTIm% zIEwy@R7D*-Kc1ub7hJ}3Vnz`1z*qf4&zCN?&OXo5>ilA#)8%I0#PdzbUkqQGVDH(X z)}8E?dw<2e@atv1*?UtmcymhT)p7BvYVSqw0+@H{)g0|?#=$L?>x+d;*sF5=Nb~yc zuk6Bdw_&3=* zY`YkE5zm{xerPwvtK5cv(x$_<-SI1e{zb$8&@M*r7@v~Kjd_=D+f8s@_?eV)IYs8Z z+_qvr+8;c;Zrj!R1IVk2-cRG4?z7CcJ2&S=e6URRd5@+BM&L_{`e`&MwZQ^-)~HUl*A{`qF)`SRXyqdx_QS zTuV_u!haO;uZ{ZIcGYk+^p5NGOVB68g;jje{^*xC z|C9RN`HA#5=R(g{CWG@Hy-_!EXvIkDBTi5}y!rufeegQ;GH@64;=ym2S5b6yu+_`& z_E0>9XJKAczf)^1=idUroeB%V#r}*~%blES;A{H4M}Am=SK1?!n*!ai?wHS0O|o1(nGY^Awu19o z%SVC#Ex?7-5pnY5fdL+wdX@7K{B@;1)PHP~3GnYv@r&=`1HEHN$CruPO&0 z{bBtY%gv!PG#~pO)3|DO4zpaidBLAI`iA;<;wy$(fAMk*=0&%qbtl^0#k!LhrhxNW zqfsYnN$x1CcUp3A^_>ei+t;7gU9T7LXIrO(i+es1Rxj7IgkJ2426rm$iL~6jECMdq zrGWDjQx{mSN-c(udcP6lbB6YwX1UlN3O$=p3-zP>+={o{={lKwwuWI`VpEy*mhy>(8GQpgg~i#JE`f7MNdEy)`&*`X{(tnvJ;LPVvks1%G|B z0oDsUd=i{}{tACtEn3-r<*?=$FY|4P_??oC5RblimGs|Hzw+W!)SF8E6LdJivA8QS2K|({78czo?#-=NZSauk!98L(p%|Cm64~F%WvQ=w^T&uTVe0NA#?N zJj)vHAy#j0U#9#dJ*0mBP96aL>K5elC4l0e*f7F!7B!Lb)8Z$LSC9XOI+1zngX`ym zDbG2kVO+vD8@Rf(mhyAp1mbrt{s`_g*-7~?*Kdi9NAncQk1C8jn+gr5TQ1ygfSdMZ zz*+WAvn`hs&VZ|TFUbE!u9@&TK=JU0p77U)U*mif>7^(h?;X&y;26}WUfG^_%yMvZ zEgk2G6FZG~`w(#P)1Qc+bsRu^+BnKnf$X8SUv_#NxH*3eajHCpu@CSbf#9N3f2yCr zA2D9lEQt752JTE4js1ilqkTyaOGUr@r&o)Rhhwy#@JngLWp>1`O6I3{O4E7gL?+F* zdj8=H^22x4fWOS?4j*>xHRbK&aOyXs80t;tN&uHp8|eL{>^bDYJg4(g&**}DsxM1- zcv%0f+tDv;x(VEQ*C!VJCcJ?UdrR}e9+eKYoYi{*F1~%CeD-)7X1S{P8+^2TE_z?{ z{0-|)KA?TT`NY6=gd5^?u62gqyiTKjXZu0V{-phZx12-!(vY919#V?XxOfHHKcCbB zm%gds&ffa);h_nbFXdAX>sMV~aNdrSg`b{cud)v9V@|gfSVv}1{74(W3H$?kQROt& zod|MJpWN?n_^YG;L!Q-?4cPbChbzSQU4@>_C`|L7i}o4TC_ntwv~_c=KWi})db6b; z*1LFkJqZ1ti$lMrat6*p*)Ty^E=oT~U7EPZI5*XdrPDn!x%A!$9~nIZdZ$v&o|YTG zW;EW64BA&iPIUoa`Ve~l-vaoUfhSeUA;G{a>BP`n>P9W3KJjT;-T=J-9I9(NV$MtiNn~o8oU;mg4kT zh&aXXd%<;FTlnjuZlTtPz44{_9o`4=^Jyo>SszyL6Z!O*h(E1nd= z`cvMmiMpZS`vvs^UGPV<{eaq&{6Vl3CU_dV~PlBsu&EJK{ijrJMVsdlX8>Zc{7PxL_^)by93mNTE$h@1PCK%UJX8xcRN zeiQMC-Aj=N`O~^y(0`?RQ_W(iPAUx_0Dk-g{6!v58sF2F`Od*BI=xb zSD-rit1>+|_uOEQ%y7*37Pwb8&Qbmv=y1!~yo+?dcrnFw<5raAPP@MF5$x-Ed#~%v z4N0-Q=N8Jt(DLN>%c>E!UA}Ka_qju9e!K1KY4tq&L~u6Sm-vzTt*l;bi2~>D9f^0U zPjSXi!??tm8&vlg8( zEZ5tPg0sSZK`-{l54GHEUjwc$e`Ai5w{LVM8 zDwaE|wjw`FPshBl$>XD}k6wKfajGTdu`c+Y=m^VY--6Ja?c-?Oy(_rfa>u0)xZJn{ zKIZ7brIs5(=exWYN%6E>M(6LlOB4^Qj;jp!5A(>>Gxw(G*J(9@_|i!ez$;XtI2+#w z=gnM#(C@z6l>gMORKE{qC0M=O6+wBfmJj1q5AXG{oc}@f#un~Io%12}5vQ8Eo8s?J z_0DeP4Yd9u-xm1j0XfO9X8$1gKX^v#G4%q*tNSIbwOoBq@59pd9L{T9@HWn0mAyIq zRZP};=}H%xgldk0?andz!pav<|$|Cm{aKPsumoBlLV$)ae9viXZ6>k9!!H4$d4$r1$l6;PF#m^MQ(+j4Q_$@bj)UYPuts$e5U+&$;M~K zCC#vU_T~kRtHpb8om3F@V18Xm`MO;WKKk5l1^=&-c*}9b%S8lO?zC|uURcw<7e6e> z_M@N7LB3Rl4OF*_rmnSI%o_(<|f zTdpeqj&X7B3$C_L^0S=(77MO=xsXro#6FhmLdPf%e_ckLVsZa2mJ3-Qaf;uzAx@`# z#10S3zrBTC=UzwiGG`aooi1Ms`B!P(pqKSV#G+rf9^h;{eGj8uM$^2c)Ax-k*q`R{ zw-CI)v2nByIEnQ6S9#3?*8_9FM_#-Jy==TZ()!D5Gr^s8)5+)Z)U}p7X~E#SZag?| zvI6mlI?0rWkF79X{>&eBtGyo+uRj`Gm-Y0vKH^?B@@L`1KY33EuT9?{I^!!7?_9#m zBU7(^hSEG<{(yQA^*kzC&d#5Lj|jYr{PWVKR>H^o<9*vMmRy2ft{N3>?|BP{^y9}; z{1^72&c*cA4{W<^$?^Hi=`?}nWms?cnDF_CNBq+V?>~A`B=OJ0b;GxF?DK5x32@eN z8tK;$UxYZq^TVGNECp_cJzoZWoGa;%j|7)4PiI+fZfNo!^akrij9v|{4-X)Hu5aM1 ziMO(P-R~Od)4#)b)sEBiEO$#E*2uK4TWOpm=_qjedE>HgV`TXcqZr6hgjb z>69^+vln?ue|{T$OrO3nmh;F{;JmjBd|3WZ$eZapiS%KGz*XU^Ypq_SY=FPIJ`($h z*d5UyJ|UkmFDyMA`zXW#z+hX5i9lno9u|8v(kxzl$(6bApaW2aZzThVG z6S%&cllGr|rAgnWJ$&?tG5B02nv#zg(i5DInl#1wv+Qf3cPi5N60G|70X9w<{si%; zq>{8Qf?s0YiQm&H&dxM0Ip0&zjl=W(=EW2cPrGJa=U|gblMW^8@!eu)~{q2 zsNavp5s!|kI?~1?o0g;bTHFL&9(I{+xj8VB{C|IY9{01SZnRh3BMtuM>`v&_(bp=) z`s}L?f9_i!bs|sf2)255>u(yDe|O|r=I@QVb#|_Uzs$ZK^Ti9)-EH+wMpfvwODp7A zrGBOFc_w{Dzsx<1c=;z0wqIxdZ0Jp$K=?Z$0fE-Xlo$c-tQke~>qDPwoR~)F*W5XR z^)7m>T5R=VPiOL}U5)0q$_mtpIyelR4XBCnip^(-*?v{w3E(PrIeeJs{jrv_&N0MW zjyh+38NZ12C{m~%r1vR&pQ95)R@ru5g4Uh9o{l{8q4mas-yDNDwM$F%>r}0~(sI3c z9>u?S7wuQ2>Tj^zto(@lh_e~Ajw&WDNwNB_S@Yswkn&LSO1R~w6^)l|u0i~MJ!Luj zkJgL)ei-t=>uS`SsyP|sl75tD7SacCiqAvAoySYyW4w?1SRau}`<1HfOa7_*26$w0 z=UZ{gkIqH@>5W!cy)H{}iq_ub^D1|s<>o+M(pTs~J_*UQENA1X4#jr^z*YYMj7yB5 z{X{B(_a>R>KOH`)S@lzQ1;V;IQKpvcO z&%vEjtHGW4Ij9qMuOY>Ggnkc_=`|)G&Ja&`(0s{JIXfes zWFK(-t0Mmvb^2K@JG`QC@tc?z=`lFcaB6{PzGp@CwEH}$%Q2cj3gX`~J zYRjEHc}U-@Ex0J!6Ymu!qcQZNHGRLKj@OH^dKUEsd1g^PabB2qZ~Rlhsotbp9P(zG zkB9-^w;w*d)ClOs>5mE4N96G(-f1TJoHz%6<@qDH^VeB$mA(l1G(T)Zoci(+aOw6r z#QK>0eZfVWP;j=;f2!qje>oagyB6Sj_XwOX<_mpJWFGWAvu?K#>(0zMh<;hjJ=B93 z5*?2?ouT03x8^uU^ecDFyUu?Bc@T9cq7F?lH=JuMfc6b1bsT(5rY!*NjD+bL&8F zO4OkIcWxDJ_3Zi~^edCEBTntT68);0xu9o0+0n0g+Jw%9RNCKU*?$l}yZT`j`d#2d zK6)VPRt1e-XZzLfJA$iTZrImuFkGUy{T5zuenNkQQ~)eFRIQ3QaqdgK>RvS z>3lXG7O@BZ&Wnx|&#cZ==e4RqFB0hg8uaq-5I-wK?;*SleV$M&T;r?{@0$xg@=Dfw z@3z2omYWZ>53{ya5vM5JW)AcxXx^1BN%40YMEqzm>USHB%XACE{Hjg!DG&DwqJGSa zc=)TG?$DbaA>eXRj@j_vPUogsw-JYU1+{yyHVZdJ4N~Lca?l<=S98o zj&;y4|EDg+(|0epnwQws`il!w;bV@M#kz13eNpG;SyAZa{j-Q)j!nh9sI*6jM_r=d zt;F-<>9Xfl_34fd8k74CntgP zuO&mRzm9SPH|;-yJJV*(M*LeF5MSPf;xFG3dZ9hR)$ufNF+a{9J|}yDi<$Hu#j<_t zgZOigAfK;Yso&E<-7I$+Oa%q7fAxw3+eYEFqpAqfQFWXJu zUy0h)F^}vf%_Cbg9Pcx#$*DEy=g}UTujL8wQ8_CHrda=1v@V!0{az>A@G@4<#1ZJ_ z^@dmNy*Y6e`>@zg@0n)T3fh;_s^Ps(lrD^TM58yTL*+9a{-X8`inDQbut; z=<|h~KM?s*(Ty9~et5Nb=$+9|pf_$sCnBEf*(sk*>OwE_|1#NfM;(Hm&n=F1A-fvn zpN+2zJ@3>7+^}WXH)Ltr$BbWp)W36V*7%f6A6=f-g^JF=xLDZlm>2bT9{4y>%MlM7 zQVZ+I=|KCQDm?__<@+CCUFcHZLC^BhyvVlW(Jwo_2|V-nT8eXDjrBHu)!P$Xyl#!U z5>F3AgU>hM>Rn#UqnUYfyXD3`YyVl58(gI44ual4H|6ce&zLW{_YL0n%<3wX{}+#O zesTA(*py5k{<1Z=PAZ0cauE?}xf)CBkv*FPJ$v_FTW-dYKi4HuKaTUCzwKA97ziJ6 z`cLe8y7OspXBVvt?j8?rE{&XG_2SkC=#6I*I2&6H`?HCygz>T!>EI&U@(8O}2U>wU z^XdPwW%9{Ymg|zY!Fl637%vN4i2XzakdJV^a>eRQx431v-c6@|H_-3JqF*!ko9H#* zY!CfjYe*81)Q_rG# zl&MQ;UTzfGZ}rN{1OEI0{T?lw&Byzj>hUkuo#E9`hiX75)*T;`4|;jyJ?2FYY!qyP!X|598JOJGaAqu7UV}8NPG?og=q?#y;TO z8MoQC>uCBs$m$PWVtqvZZHeHk@55hQ_M&}he=nR%POC(mr>5YciB_*loY-LXYRF)W nizlbk{?@O2yyaqhF#2U3dq-Hk=#y_P^ovhppK)F%MWp;6e<;%X literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/26.npy b/MP_Data/pose1/10/26.npy new file mode 100644 index 0000000000000000000000000000000000000000..fdf1b6769c8eaed8d1ab63bf8eda95169e9d18ca GIT binary patch literal 13424 zcmeI2_kT}U{Kt=3dsVHr9IN>29S#TBCL-$B5V=B4QtVREQZPIEWdM^)`U{G&=;*EO@9Oj?GhxP3-#6RV}bd?%4s+KQPUXGRj z+kaU^%D;Sn-|-UV;*-~wH}&B3>+-HqgS)o}^h zWwn=RH`#;GF2-}a^Lx$DKgp0t&#Ssa`T5j#TP!2`mwn5j-PC#Kk-r(8`n>PB+w`2> z;D>f^*M(w)c+FR7_9Y}58o(}P=TszS&elK&A+T{*z_eLyu zNYBa8r-;K0X?}#-RgWa(S5?k?h1$KQiD-9URN6@G`q%$B|M!kRM!PTTz0fN0)Gl(I zxKCVFiHN7Gnb`grU0ulF4z1Bar>&n4Z5ms4PH~bi{8P{ zpHINmoa%$;UBk}TsNFpH3iB$TT|Q3Fd9l5()753~@`~E!yB`s^P&M(qd-e|T%hyjY z;`uj$c;0PZcAB2E2mZl4svMbKQoC|h@Vs}+B2Rk3DIS08D{Iicy+CVv&OHjpyt&&a z(C)I-TSwd!yxk7hT)FYQJXbiG?sZhy(zukXxAa;$+}Fv0xaH%zXg5pd>?H05Y%GNK z_@uw+YODU9P7y!-7uW09@sGYsxmQ6q@VwV30qr*NF!E>${BW4s-Tl(&-#hbjdU{@d zT8nXula+4c`LTcCd3Cir+Eu*aJVYkOQ@cEp6a9OCzDK(|Yu8geu2aJo)GjjRfnJs= zl0l{1s%777i%YqBg}(Nv-88C!`Zr$>L!P{yF$<_&h1CJ~K1+u>usPdtUKf^T-gpnV z2@ue`+fPtm;?rH!ogD4Ef_zMN_K_1hVg2dEl~L%wb|v;{F$(L}-S`^*VsjR7mE1nj zm!7Yeem?0%{5Qyp-rf$}jqliq+P%`BxZkC9{NLXO1=cwsyFm%cV@2R) z(u;KKp;M#cz)gqBmbfe%3V*p_6_2ZM_DRI`*|YGm_x7XyU8M?>$zN4?gns3a{-`$@ z`NcxwV%tC9wrVldgK7W6T(TpX41C1v2GD!!?(zOmbmc_StLEL9w@ZSL-QPX}{WfpQ@nl=e z`^NNQ$dA32hV!}REV#-$c{qG3y@g)u2<#``gYebF?W``)i?1qkJUusI9f_YmAx_&f z2;B6VI|coA_XYPNe?I4%^1RMDG#uBRBj9gN#z3#4k0Q@@M+S~Fv^na{noj=Y<0d6? zoF}&+&-(q0A;e{&tel_Iqj|pE@0-ZqoDPGJ+}f7csTzm<$ILm*{^=%i{@dqc{#z+< z-7K2tF*<1|`J29+XE`VW+(aH7fqoZr{hM3=VZF;A{II@6z0UA4Yky?_wK?H0&s;|Q z>RK(%&(RRnkN4svxch7q`_zP+ zO%&^&6hWRv@JZC6YB&yhS!)IQ6+0;BZ}#)l z`s}xp{g2i{J)297S>JjFxP2BHiahMz1+Kd1WPdqhIe5f8*2}KYyWW$h5LfYsz{Qzn z;A+qoyhqH{ci^&b9riC$1@Wsdud{#4!gw#}ZRsbFj|}F0#&+(Hb!}Wc-Y;fF>U&{J zGWQ$i9}d0b{YO3H_mnDLi{GdJzF~jQpX2$oZYJr?)vQ}TL03YMW^Wqi`HN;h559XJ6z1S@R^C-$*0T%~Oz(BucPpuXURw8_+tQF-68=WuW=C8k$pWC>)rjQz|FGNyiSiD z;`!?8i#X-Y-UW05zv_~vrrx@HylsIa2QvsBM#z`vRU z_ihyc*I(poO5E!%IsU4xd0sYe#=fnZS#VwWD{%9$c`*6Ae(%A(9w}dt)Zg_C!-$)1 zwK<+2dx5)yA9&wrb(-UUFdgGHvHdW=wqs)+ueXll|EI@P@{?)jfQ#>TA`jj_12u8i zDKFm3a%X4MoB3}N&U^NG8~B^E^AM++SP1*7>{}b_#ap)${mQB>Hj|IHr62URe;UMT zXZ{*O@r%iI*e5hC*ZHf0lZcy|FF9|fB7EHS(tXKC9vH_y`5d^6?VxbAHZN#Qr98yqQaSZx6rM z#HM6E4;S0B0zM;malh*>@H)CzZ8dQ{$`Ksc1)BG65YhHGn z1D}Y2s2>$E4O|cI){FGAM(TOHd>FXO=HDMa*?B#xudiVL6vJC%-!Q@LIR4xPkY|}` z3f_@togc?#Oa!v(?Ucf_95IL zT!*ggKt5jcHt=;PW@BFT*1QvlyI~(W{sIS>CtmAHJ|gWA=D8xk-LXtVz^jBYPh7zI zpZ5n5Hv>C>yMwXdCSPml?VGCL=EuLly)32zhaHp7Z(SY0GuKDO~;5ko`l3 zB7XDuO>@$#S>-rCr5j^j^jbc*>scKzFJ84jd0pJN&)-Xvn|~qhW&4Taf1Z}t!B+#Z@5#7WaO=AYTqZpqcijj^sG^{fB<_+J#k!dyk{R)$o-G7vgh*J~4%TLcao6MO(4YxUtMHmcc%0$9)T~q60XdKMsPcFJAGy?0(1JahZeI zr{XcrOZR>luX!N5AP<{X!pEk5U)!=#7?=K!_ia-)hV$QlC+goN*JJ(0Bj7IZmJh|R z!ux~k90L%K&e;I_hIYGoeqWXcx1DcJr+&Shn>hXwo4Br$7Egvxl`h~ec?0jmV_xEY zp*I%8{F=RSn0N1w$ty{3=kvMLey6}qmp+T(Gd~~n!Z$bb!ymxCO?+;Y7j|L)mwutB zACapH*H7|p)P+v^Fot}*0{lCYIDDStIsGNL$bF3C|MEV+7Zzt9hj;?^BmZvG5}x;m zJ#jt}<1<2UoyEFyTffJ=c&$=@|7~9vKKk^V0p#P3@V+hDMnf-NzQ=i6L?-b1$~pk^ zsH#=w_h#N|+;8){;GV2E6nUt(1O1wuhj=}1nu$0~dp~gfw%}#ol>Ve$jqfk&*PUY1Z7}@izXv8*#IGGRHIRIOf+B&CnVBw%~Pb1NmI74;p@-CVtKS znO{IJpN<>~{{qFiPEI`HbNH!4mbhKS=OS+x|9&W|?nC~~D?Sgn-1&GOZ*AuI1@ALn z#t%F$*#LDSPXuGUvQuT`Q|_4=L2-Hw_&dlwoeI6EnR7Mbmwdi514?lHzfKqqz5WyN zt9A*zKX?9!d2wk%d0dizCv+Vip`OLSvf%pjC(!FC{#`;8eu442Kfi;&%KGC7^4Adu zn2+y^eO{Q1!+le@Xt|X4tHDh$Ufa0pD&lh8ztF2TT~X&E*$3xL^_t%os_6{oi!)MtIUP@D(!(z2Yl9Ul>oy!&fU(tAzYF^|~~?v+j3 zjkp}+%W*cYjX1qhSz{qGpW6?sNN?_&H% z6E}6a{@t_BIG=B~*C6f{e#i5e@g(ZOiwkH;+}8dH`;r=W4)fyLu3ZLw)5-UIQ`%+d z39g@AJLl8AIoFN%y{~>i{G#Lf2-2HZh5w>ej)VH+jw7n*#ml;wY`D9 zXa)8ea0KhZyBRzV`h3rzms_rYi)X7wfIsnvUS&K7uAA1LO56>Z$v#8VqhEb@e;9F7 z=oq-@IRO1i--so|z3cDb?>b+?J|;dD3W3k*x6P0@y*>5smj#xh zo`r7`_j~eh=w0o~SdZp*d2m&wG4>PHvxy)1=v5;*&p}PFzlk3z&WlUo;`~64XJk6; zhc>c*7;zcBmwBe4tgjJ^bBJrf^Q8;Ng3Hy{LrL#7S_-}Dk^w&A+c{H+tF*s?+grJr zhv&mSCVwk}IPC@g{ZM4BhCHj}0O;l0w}{`w&BeO2RRh_le_L?dZN(b$w_(>gZ+W`# zysWD@&o_nZ5nG@aL)N2iMTXgUFUZ*Q%!}`Wk4*O)_HFOZpWJU>Kjwba@-bVO%GYj!Pvp)-;4~LB9alQT-TyLHnTAzd7Z4mI+(Z5b3fAf*og|GtSRn7Jd zBd)!4oS!v;@UhA9p~UTgvh1Jl$r@Bbtv{O6?|7UhtIP=aFao zac2wS?$SH(A>^KFJSm!(#`K-VR&{y_7xL(Y8kab_&@J+c_O^SpPm!I)Iqgpj!9$W_B(K<~C`Nh%f3dX>^lAr>SFgy!`^ov8;NpA*==G_IgAvcWgRGC@zXzF1 z4T6c=;4|P}h9Rs!5IX|;`PabpwDsWD#SA5`X5~OVsA1Qx`lj4_EneX}PQUj-J-AIC z*1PoE^()%HJI?)XFU|26%vzqfS#%Lxq^}AtS|`*efA@9}xE#jkYT4>2)|cME`=n|% zl-I=`Iga$YP->oAO$8VKI_SOg583}o681MQL!BPz_d4$bUb^0hQ-8=1N?h-_484ns zLOs}QD<+b^S8oHxtH-`iAf2=!T>nY4!R7RvypA%>nMv(#Oc3*2jd>rt)N&yBC;opj zqJDAAyZG>P2k;jY(XY3BH}3;=60t7Cu-V{t+hbmjqbFdzw(JttcO8Xw?e4wQaVh

    f3NUGDdnhR};1qoT;iR(Qa1cG2Lr z_WB6)b7T#;%eRC1ri*xwsEj_$>um&=MV9lvUHdNjbv*|&SC2;^PM`J6Tb2gbHEZ@p zztIXjrf&@&QN9)G%{;wo z<5KiG{|<0fqaA!qFP|Xd_Gm5mJICin^RCry@;BQ?Loa(>=KK%3*O0h9#&u}Fjo~`{ zBAq55b!Z*p@v1N5c#`WZCcX39#qq@EfL^pryO8v*LS^(TWf;flR-#{VDja&Z?LBCnIFWhzI~$3cC!IN;ea^y1 zn{(TUt5?~;)n8v?z01f$8^Fhx0~fjYJ?@qGDVn&hlmY&x?F@Xc=(;hJ!M8L(oZiM@ zj7$2ISsa(5m*3w57s1ETuj?9%^SKvS8vZhU64&#Z4Qt8A)M?4_=lPuLq29__#8uRn z;G$(&aFgXK&avk18~E!-y%4`Glf6BB!gzkg4+S}%oIRr8^M{3A*64`u1}`ZQ@taX~ z;BP;T;c@jk6iIrwU=+A_=rn)7M+K}QE(89Ck9u30d?C?f#_GY=?E^iH()+EFZM&*Jp|m#6~O$;%Q+a=f@+9I9jU?bye_hnxGfUM zJ|~|+Z<;pbee9=O9M863ym!=h$H&K|=*1*H$Ese*sDJ(6<8bhfp`4!=&7gNr$1=|` z2mbEtXUMZEonblk>m6zVF6SQM{1?x(fViv3=NA1cFXmBI`XXj`Y``gr!R4@=0|Y#ZaT&*W(Gt+e}T_eUhCBVkMz@iyqDdEz8vTD zaL#kiayVDpoGNJmk~sxEJf!R>%Tw&sIl%O!S5t)UP?mzXPbkk-QI= z>^TbYl%2u(?4FtHXKb2K;%-WP_DO#aTz#9i7jf;khj|0Z>!oA{UcU#qp1tP5ykAw9 z0dXmMb&TKpV&`RyOZc2d{ivQ3;bW$>LOkMZ!hG@fgL*ig<+Sw3fI{cNlu}_VakXJSbKg(c-{jWUy{KQk|2g~o69(?djlGH6D?BeI=Rk1t`->prrbz1V zNDoGX+hNzRKih6G7?(=e!~W-6&L+L9$KT^}7XSXQmOoqupW^&pcCr)3>)MUSeqs|g z!^ey{fcJ&^`n!eDALM;ov`A)NVio*tXa26#VcFs174ABP^dgM+XS3}E^seAqtUG&@ z&tqP&1J@N!pbpix37nt3;o#y{v0(K3iQfz2a9j8b7xOD|y@TIVvUFjt=j6%1#HDca zj=!hGGya{~lp2QfkN%Cn*W~>~%!~ACVWH2#-%a*yCHTmY-YbZEOC}*6_4!NaUH%u5 z#6>W_U%XD8xZhk`rV-Z>-Juup_1R~Xg1_kA4%|HH1Fq%M2-2(C1S{+?C+lF*G$KJiJX(L@5z-3cwgxAQ9O_B`1fk57R>jh z`2YXk|H%x1eV4|i+{d$Llam(=QY-;sXcBu z>FlCEoae|zNAk5itlu{bD^Vlnde{li!3GazA!(B9fW_&YT#bkg8W{1dV%#- zmtTYL?e`7iQl1yz)QzKiJv$EL(mDD6*Lg|y0CBgcI`XXh)tXOw^L6Flpg+=x zN<;*=Xti~F+_UagtMZcT<}Y}EeP4b#pXZzFT)A`SPEO9lv!Fwl_8oiVVq@6&Y6Aj7 z`j4vCfLCi2_;WQ+UM+CMsL)aVL48Mz8W3Q43;$su0ogockpIYl?9cACe)_4lr-vt> z$p5#01sG$-JI`(J>?_|;{%?C_9M_ zSohU2+wMeAyY6uww$wX4(U_> zg>BcL-lAVqi_QJ3uwR48S^d% z6wkEn+;{H{du1QHA%6988t!+hZMxpa)iAJ=+~y!bU8={?$yOdB;@k-2Q6BDb#J00y?&x0)?vqz!f8?8sV4g(K z!CPqGu^#vHvea&xRYD$kR)Y-q_bY_{Ro4%=UzQ5mg1C44zd-w|EV}4lOO5p6?WLmdX`jLOX+@!DC<$~4A4bSIWA2z%k z@~Q*dfGe;1{cSsoe~W%uyCZ+%^Vu^qt)AC-L-D-4a?Wzcwf`K;#pWB7-;D20TP_at z7;Cxltw#OM$fSDlPsF%XTxE)LKncu)@-B{e^po=7V(CvbzbA&zhW|Ah7q2iF+_`pW z2KYqEGwZVhTo-bK-dRrl^2vp%F7kXk5Akr)EB9bpcO8yFulBo9zgJ6K_qK7r&75TQ zI@q1~@BqvUb5CDsIlJ)y<25nEz@2VhOX0us6xC6!Xyixd`dwQ;_2dfG@A2cvvwl6k zpVf=k%P9ZTZi5TAivulp2KFI->>fBj^^LS#J!jxzWi+^R(=E{YbI-zvho6ik{rr;+ zte%xq(6hw_u+NKm*Tdk`EDfCBDhSTMTOMM$C?QC{>w9p0w&iH>P#175g2B!EdWchg z&cJ@8eky?aR1>|&cw3*8nv|c*zO+uVh73i&6LOQ!J~zb4)@F{hdVO#`bh>dO#qX|H zf}anDziG9Y`1Wy8mODe!;Uj7o)IYyjZmRWX<*uV&H8+%=D;bZm?({b_U*euS)!XmQ zP;b1~Jjz?xN$AbrJr-CW-qeqL{`H_byy`s{{Awb&F47KMlzcwVa#1n@+!PBY-e@f9 zQ+4?Q-1#U_Z%&(93Rp-aIG$`e2MpeSC~{?F`w1Jjgl^u^!dk zM}df^ZUgAmse8!3dHO2ca+cT~+$86x`ZPo1EO$hEaNc4Y?HeVlQ+{f{gTF}41UG?| zgRNfod_?|3bDr~Grmcei+3v`{v)3K*aMu>mmaCm_DbCYF!9~9yipQ%VIE!m});n7# zrxaUgugL4i-eJ9)5~r|U*tO2&bGJMEsPn{9t1el?^f#%ucTp9P;$$H7^d1o-gH zCsA)~YkzQalb^BUar)$?brceXe)*Vhp%+g=M%#9ME&+Oe?n~rZ1=WwR{_0{F^s?7t z^sC>u7-aRrrxv(s@Ga$kZHpMoS(Dp{U!A#%bs_!A#9ALGXf?RFT^e~%uCuU?RL@c1 zx^hQwwyYzb3oq!1y2gyHb58`L1T9N+v zeDd#+I??*D<6FU<&gJ0Gzr4R3{##}d-!XvnjaNrmE}tZW>vSLT|ND2;n+l{lXAPTz zJJA*Cxpw$8`Q+kwF38TSQP291Yv8QG7+Tl$cVNE68_FA>^$oc8y@&llm7)DdJx`=~ zKFuNjved6W8VWA^zMyzcM!{diMuYR|mm)FV@X6pZ&uVbdt|!)=jt!=G+MXw$$(P~7 zzwA%?ZbcA}S^j|Z%Uy~4_M(0ATom+XNeK2~GxP-Z0eQ6FcJJ)GsSg$K9At7j^2{QR zF0t`A_XopA`O&;M)sv=JZqoXK>p)sB=5$xgqv@SV{2Mw4^KA~TyVC>7Cn^p8YF!xZ zpDWXe=T4&eEqDidar`~4qxi0W+xT?H&Ujv%$QW>O;3hba+>do?{F;!@h%Agt$K^vE znw`5*|E%^eneb`<@i%*Ahd5ICFIVP4zs~-~;QFV3(61TZ81rK8lpvo~Lr&W`q+u8rdr}GgvZ5z1 zSk4B9)Ioc{2^4?5h1mc3_^-n)H>>IS>s*x3%Qm-sEq7WSp>b{BhkeyFE9D1%i}EkB zM#4u8a*0gI)^j}t@$dwC&gxDTS6D87`wl+Nu~Nvhso7$V^^v}mPnqTdF6z>Gl1CM% zd8yZ)IID#7gJ~KI?p!WSKBbdJT7T8;DY%MAK|IpO4_x=9aq%7fz|E6T0V9WWj{HSxsBM|kb$6UsFPlvXK zKTC?EIJYgteqw%Yf%W3FnS*}Kg52AzkIbNX*IrrRV%Eq|8>iY>m-0EaApGU7Jy`g-dBR2ef~GZ`e>iA)NfNC#BXl@8V{ei?dVrko_*QsOfA<$du0o&LvMcJ)bCgG zvCpeSI=9GtcMw0X{ajlgcIYnUVLF|AWmt>(@Y{b5Tz$BLeb2d4Cc$#q^Z@$Rerc4? zXt^4^YdG}IRd?EFj=3!bKmH%-r#3^L<%5pPELVeQ|KVZzssC#4np6+r&^*hpIM z`R8GuVRwpB-fCB-JOob0c~3s5f%}>3evFr=dLn+AG=S>u)NkN2*SZcV+5VyleJ|p8 zDdN={_qCjt_oloJa%f-OnSpsx`FvpsA8v85g2vgFmxJNn4&yEgM|1T>nus%*@ zIzOoOSHShPb9gSR`Z?#o7R^yt>}u~t(9b@J{OGx1(5r8YFSOiTdI#KD(dCdQqWC zYpq_EFAcqU@&@_gyNh(QTy2Fqn584fXJ!m}Y-xMl~@v0SczEZU|g0rO0IIqgxYoK=~z65vj z9-}-LiU*g0zhYc+TuVCV44VM1QlEf}5_KYMoN@-eXE`h8z(-EY-tn`!__`hRY=0Cu zf46p;<>p{L@_9w?S!!$kNbqO>Apf#t7S1#5;RAXf{OSL2D9#f;#GQE572COEob8t-ltP`GPHC8T{rOq~#{2Lb z^!#lTaJ6I1V(6b1qIIEMs7~U(!~Q8-!Wti z_aWw5CgRaq7bc?LJbTfv?sbjo|4`N>%bf|#z`kmJVbGh->#^>fif?g# z7Oy_ie7V#l|7Y$atq*_N4_uVl3cYeMI7f-9N5M^}kyN)CRggEaiuM!!!!2-?*)s@n zwxB$-hB^D~;Wro;AL~o;kEnp>2rn`Xb!$3|qJ9I*As!Jhjm`tfr@>ibI=EVYvAeg; z&%Odh&kN^iHR##A3((7V zzpaG-_IT)3?lHs@qmh5{cr?ZD;fi^bPsdaIx0e!co)38w{bLdk&#xoEd2ugr7M>Po zx#*S*F0ai+9#pO7qrMLs{QM;?D+0`d^Bg6fjj!+2ToS*tA9 zEnmWiPwk94H!m{#SuV;pM89&x6ykXc`PgweDGR~**-_wPW6J=`&F4Gdx=};YfAr`N z{kQc03E}$|@rc%cbpsD+i~NWt$>65+8u+VjT@fcM<&HR=L%(kK&h}@wgGm2jIP&k5 z%UWQ4cq7_Zb!9K;)xM8dr;eoO5u5M@&DZ^Qm=`rO=liRxooIgBO~(06bUF%ucBBHh zc{&MPPn`sAj;n?w=9;v@6{!ykWcTIh{sH(?>%IJsu-_2 zIS}Uuc4!!U)HPplStG{R`is7i6wjbgaDK9RnB{ClN#t1s<_2eh2fBFMJiLEO^-%2( zs)sA>+gq*+wxWHn&)=9A-NOM4M;@V&zz?*BRR=o+XA9H8bqwX7C3RW?ee@lQXQ6|A%nay{{Y`r2 z#2>yMKC)NDBCA(7J0ou<=?VGo9EkS|StJ*@{`)n!jxV*+>h-XS6sJcQ+E0qV@pfXOM@ z{hIO9Nbgw;K4ys5bjx*1@-d$)5uY?{yyd)je#%=^D!A@FeT0ouZ|Vsj^)WZ<$7%2a z>rTJ$2X{RDFfP{X{c7tYFFEj$Z9_0GqEv0{^Xw`0%ljqLe&YLOZ>u-{X%v6_Vfcve z!sc17rX40;crf`_u8H%NDsqJ4EL|0x|9fDjjg#H$3Ox&$LHoup%dvi)QGKD;U%WVH zb!N(-9`>rsZ6*G&7~*8TmrSvoyXU2K@z3#0eD3P84%dT2;V*8kfL>mnJ0&GsFH|zP z33SE0tNrN{q3>0T;(SSY)*pf=SguNzhQG=cfcfHSd3ISYrY?n#YU++Wi_0AUe_>}w z(73_}gX@M*kRSH+AL8HVd@q+!AjJCUPG>2eQVlSVJm`2I%bgQPDV{z{kO$c--z@M- zhoE;l6{da@a^w3JKIjd&Y+01@b1!^Uij99#F7i1t2|m2arZJZ5jGEx0*p}1QSFbEG z&0a2Dr%gs+-lzucEpR@B? znDudr1ya8WUBE?D67nF&l3u)e4j=Y73hRq?=>xqu8VkbrJEHQhUL5@>Fp3Ls^`EWJEf+DzOior3@Koebm*D z;QZm!%igxXGW}48>~nL}gK6>*>s=ohnQYtDuq5&iZwwzkWLDfh1@0^;fI4CC2ZD>B7;wI%5A-7PCh@XgAs*8|!VmFO zX@Yv@6-I!IBmQG77d})cs_stIgQ*fj=k}>d(5qLc&RCsUKNssol$sCDf{I`rnQ9(b zzr6n_a1q`I>%#f9JN9kvN_A_x*T%e?yXHrXD_}Ck>AR2g=PpHA&YR2vHytlvJ+kQw zFkgBi?MvLx6YH8c%&KqoV(=vNtH*c3b6gMJ6l3FMn`r;!_wUg2{rgobESDmN{JYfy zm!nEyzm=^rXuK~QV*fNl+!sNAh~nf2Tm5A}bH9hEEAxC4e4HO=A#Zw1aOocMKzdeojlGYxzXSj5-v@xp2RzPlQHFlU!)hM@cUD|PKFvMa$IQqb#IGE}`Nv$n zhJMA|P;jOTkA=^=Rp9(X4RAd+tH0%PWPNa5HjKu*e-7>EsSOdQ&UFO!psK!FW%c^p zYs$k7H{?M$2Qcq4Uvv04?|Px$*!i z^%sZ7LeGP*P&~D_wXoc@raCnD4pJR1{0ZlLwO|9{aaQJ>f3AGL*y{Q4_2l!T8}wpX zT&(Ta6l#Ee#n15+=jWE_m+5)Xv)S)xe#b>eBA(Xa;G)VQ#BYXVEVn+aP)WEEisE@6gZCAa(hT)!%KZ#3LnhIg!wCg2s)#U>E)gF$ojh{dEr2K!C z4|!GtC#<#pW@cN&FI-9ze>nm5CYF9ne;C|h{v?(O79J$6A?dqNat!*doGPD==*r++l)lN+WijBz0NUue^d|e z!H2hXM?9j{4-r-`uhYJ5mKFim`J=(juocidGjiTvypk}#vV<$m%gCJn%Xi<2^RRe* z5PI2kI@QCL%ZO99qjSED>jBPM9KgC`GbYT9Xvvw9?+J5KQZ@RV#H zr%nR6cvuMeXPalnST6n>46ahUkbZ$DIIpZI9(On7S-0*^`G4CGoUgb5E*H+7Z{yMb z(s{rcihzov9a_{)-Rv~OSZL4LUBAdE}-79{^Vv=6IsOsD76IO>#Qowf8HCp+Y&euqx&YPlZ5DbI%{(s{4#htA&Foc}=iRC#E>;&<9F zvRpLlMe*$Y3w17=W=*j^;#tl)%6AU(Y=VP>;j9CvU=W__FMgq-h=eR#5tC;WufH1dlUI|Z8-}3F`Z9LwKs^9PxF{+{pIcdpcln| zK|MILSw*XtljuE>uiu3EG99LbT0J{G0ppV4rAdEa{%G*b+Qj|eg7f*I-7GiN>G!F! zVjWs9A0K1icar3+T;v`QWdHRRve=ih+ys zpCZuj`YV*5HLu_!R!yG_p1Fp`dmt5D&+Qmyx$vcZ%uI^`cRnYhZq4pr5GNbmjp7_T zJ=yBj&x!D1!#$~b zb?t}HoBLacM?{T=Pec>w)wWht=O3P6U9eH7)2)va-u0%XH{=j}2GQ@^oz{8bFJ`O+m(5?IU-5WEoYnJhUV@8l zao{X54dXQ)8;$kR6%5WB;!N&wR(1`P`s zTBepPQ>V92882C;_u!$!hxQuObMVl>AmWXB4Hy=b#)k#>3JFTPFI%NXjjCSdyyQ6f zfBRoHA%u$g`MzJ;RfcNKKapO z@Y8EK4<)82p}oczU|xXF_}?-$mqI%t$#4?h%jtiC1G^()0S$Lp<-~KlOy#_1IuMFZPtWOzoPmS6j6i$AA7To>!YsJtXdQI)U+jlrF#)Qd^Db`cJ(K;x6O2ut~$$4XjjwT?8JTfd=k2*A5!RQ zv+ws*boJfM>upW*)VgW+qWC5}FN1fZU4>;sUgY-p6V$FeOLPCh?J_F5f3OC1qWTqj zfaialhv!8|L$r%VU-7)^)$kOauaOD;n=fzB?p_{oh~x2lN$s}LW8_Wc_%0LqJD+o{ zNTh2e{}gJMfx{553fzVHk>w{WqIR(-l-K=^>etB6jCvPK+}7_6ZZf_Dcgh!C2*1k} z*r#>gE2Nj7la~?K`Pj$xpN4u=(WT>vyIcD~?;KnMz1lk){;EfxW38W9zU_!AF;Hzdq-5(%Ve6!QI+#Q9rhHx0%FswbJ0yXT=%PyC44= z2!3!l^9(srFKWg@9@obq;A&e-uK({d&nLYM90)E3^##|JHp~I9KN#F>p2%E#g1f2d zJ|Ty}-RhI(q2B?Ve>?RD%(L|zi1F%ghQh~o90~4Z*c?H6Qz01KEm-cBU)sIeJ%0*u zu`C2!e?K4d;x;P1inuyh4O~=S%JY@ndkK8j)I%Malb1L@rw=>iXT2+6zcYuwyG-}y ze&g<>cRoDh{iAp#aJznd0CBq~9^BSuu6yt4NL-ca04|rD$9$P@GxQ@rQL_j9ZM9oG zk0Y{{B5p&Hd4Aip#(TgXycr7rn%_aMJ=%fmzAXpC|HfkI#n&O=>T$>r=*RTuexrAQ zyPlUdakHc-`%nHA@k^gRBmIackK=ec%*8qp!LLV=Ua#oL`kg&E{+Q82p^x%H-h|@` zANRBWD)2q0!0n|Q(95N-rxABb{J{B~^#S#-W8Y4Kecm9(px$ic9r(zCS-GwbdoLg#RpobZZhDX5daE#FEd0m)f_R*(wYjcJWnB%Qj=a9agD76tp~d3ByLuvTj%Ple zmyVgc!6(N|_&Yl!ulJYj3~~3%I*#*QO|H)@I~GG0IpAWQUl?%{un_Yor-fhe zqx-K(3+bvlAK-YZo`hZwSG>>EexV5yVx)0Qfsc zFM^w|^)|x)zsu0e)b#Z`qZ;N{PS479vdLn+ZuQq(4?ZCr&*{hP|0Or-*4&r@?%cfu zZkN3rNB!z=igO;KzeW7cADcI z0k{6gz}=`-<4NzPyk{QWjPtzb>N4Uoi09qhh=N`nJvNQFP4L9H?DnbbpJOZMc`={o z?fv1*+x?9ArRR@aC;4mQy2Ya-UQ=spAEGOyF~_E#ZZ@6)__-ZS$$ z(npWNU%u*zeM7aZ&i;`R+^^qPyw^l3?$%?|H=q|Mv!Jd-f%N^P&=0&HR_;8N{B?~0=;h5DI7f-H z5hKvA$4K;ReDmY|C_+9qp*ZEoWM03GZZLmZY9eu`3a>Bc_?l$8*B|4$fnO-X@y~dN zeN|^}5lGzi*1qI=a`b1#?_A*gS`PY>k}o zmw$9*9$W(c;!Hp0i{>&P@H~)w+^vtm9p7%?W47U9&dJ@V=fp4;$(`~9ucX1W*6c-@JTwK&e=#}TJ< za4O>0QT0)Wc2_vgEh48v9@MCQ@DXuKLdi#;KgxOVHJtz7{bJDX^wNmm?eYcdNL@@p zziy+^(Az@2*=Jq%0pz13pIh9}T%3o(z7F}gd#iE3PY3hn z-mALg+5#VkwuhyiO@%<5xP8!MM?XfkOxEZ_# zz9uY@>%T;;X~e~p2GFaoZ<$}ul83l6D<`kho~L znt9oOm|xr3mALUT;AV1B#H0T4czQ66%NltRkILu`z1(=H=3*bvqpmP-HJs~q_{v43w^<9p$2QmsA5r1) z0^-iYx}5*Z35Z916FCj~QOgm()2$Y-iwFNq_9Ol4FW~O*)8MvoLeTw}LPX(VrSE5O_or!{{L;7?#^)dN zW*z6J=1tzuNAvfZ9ux}h4E5*rHS;<8m9vxKBTj8L7*`C}t@-&P@*|&Rok-jU_r&~) z>dz3TK2UxIarYjdOWkpUz-`Ivi;1Vb_qZO$)@8n`e-v@kK0W`5Pw@V7cTYi`yW{wG z4|U^D)U6IK9!`2ag1H`$%I}4||0192Stj^9?K4Af%JI2Q#AL#_blhd0_b#3KA)epb zfV<=FV%^Cr|6*KfcXM!O)FAe6v27&j@!$o4|X#PWzP$C+_^b8r;3x9`6yewhGQ;rrcrph{Ry7&r(i+ zAL$PlfnF`h&f~3|yCwOUbLXJ9nX+TND!`);aT~PDrRTJ>67guCUn1$=R_@FGE2=^- zedDkXyTeC7Z)VowdiDx)Nbf#;%=%rs;UnrNj3#EoZlj928I#QOeUdJq>M`F8;0)@1(!mz#pi80ejAAnm-#&2g!FUi0k6J(XUVA`g1fQXkUmfqydZxfxt+x-gu$ z^yl-x-Chq|&FR#Gd}OJ{JTGlBfZGhsJeRuw>w8vQ zNcZAPH1v+gG#+pF`KWU_<+l`ScM=-#_t%(S@pP}U6o-#U3oybi|xPG3>@w@AoH@!I#{>gozx3zQdy2w%# z+_w4&Tm=*Zw^h8tps%@Y7=A`gu5fRCojUIH|2s&-%F!xNgPg6Sb-N zD(GVZ;Ukjg@V;tKw}t=B?L03z=Kh8Iza;8kja&yV%GSfaCy$=zbDHpTsp2h}(&OLa%fE!amXM@E#W_ui3v|YjC%8zA)08xBl$Yi+?|~ z-xHO3EP&7Mzu9Ns z-@KogfHu%K&w_rsMq%z3H%J@K^sN zU|p!xOAh&~9?RKhNJieDZ*=HS@z@%V!EGila2<7LDsk1c2I6<7<+*_SgR|Ds)hW4! z{af#2pV9m~r)l?=`RneeL({aoA-(bDzrV^r&a>XwcQkmZU*YeDp2B=Nt%h$$Ki6)< z$C=)l^W38$pEGmp1Q)fIftyu2A~DTh^z`L%oeaV}I!7MiT&;7L1lMuhn8#e}0RMcR z=vVz4&+Gm9-*buE?HQq0`xX41o0U-~re_V#&%*!lJo-oUrhZNJ`rvZ$9QddWtpBsy|(X-?$Vuw$st7=~a{o3rw$fw&tE+cO5wuRn3`sqCGcdZ@>{iEv8%Wb~s*U6L^ zLtN}?#Xgb8xZmk5*5Enc1mwqjeuI3v?YquTOp}{?cR6pd{P#8eIc_HSuUR?HgtDBU zA|Zyj6LSH2HG3TLAc~EJUd2^{UL6gDUg!4?qJB+i5pa8I6u9u%jr`b^g~8qG?U-Nv zyEW-$&$H}ri}5`6sD<~MssD)i#wO6qZr4U4o+(M-GPV`C`H&swIwxCtoxke>u3Da) zL3)#AGxX+I9-Pxe%=?MNWzF>bc=fo6I8w9XT&L^Cv%lX*__z~`Vcj_!d0lI{p8M@G z0qf4>T zjp)#e^d=@Z_j@mWz5Kql4{w_MoohjC0^7yMVtA+BSsr;>3049i21et1iswh->x(@K^Ps_&xZf z_9O8EJ5O5p&65JfRhVzfxMuNL(T0FP_tlupF;P_9E&li$B$mTv(3_us{M zjpsAOV2OtRWv0GMoMLbqCjLXQ1Ak*ps-8czbJNBE?hlKF9xW9nODfN(6By!!~gHWDfMQ{Ev~u z)v<#d=j$$9w-=I;f02DG_xndSt~Zb0u%F9&f5At$ZH;-Q{w~mh@?#$-%fNIc**KdFR_djY}`g`_xGjQY8Mw4DfRpUIj ztqAVKTun6P7%LvA#wLOzh|Y#0qm=~ z#}j-pRQPOHf4qCo$)&}U0!pDjbc?H+%wTbmw#_)4q` z>$iC<^(%}2gZQ0sg?PVx7&ei(S-c%Ss>e!>r}Yn5@22J;=ACz-#J1=91ANgG3ebwANj(tyW9}2F*$0JU2Wdpc;xOx=n z)zU<8F?B!hlSTZIANT7M9@lT5!5y#vah~&MMIM|S`LX|~0e;KK$L3lDt`_Y>eagFD z3B(-_KHoZ>vxA#rZ5E;5FWca+A2bEmB?@CdR8RYW+t5znDy{_T#C%tj<9W}&Lpo(+ zQMW2Pe^2S^nV`2{uZ$&sx%?34v*<;RvrI?4A4Mttj?k+t^iEi{-J}W=*D znHOdyreXDF2e`A5e`mHSu?vZd8|*K9a`Jrrp3@;Nn>*ZZL|^86vaKNQT-pz=OP6PV zA7>eH{m(sc+c*kb)h>qpQ+UR3zXAN-cl_C3Wt;~tFUGR}*~?MnZdNzOc;$ny zll{p5(Q4>*0{`99jjlM9xLLgf+;}a9-g)(@4SY5qL7v6(^Qfz||B-;}f9)M`GjKMz z^TBH&`TYO?{vXXirR%3L|6xb&(lu?L4x@kXEp{g3J66TdbJ2b;I69Gd$EN3@%W1Jc zs~wZEUYzl5q1PV|VE|E&_l3-HD~}34DB%xETL4_D|boN-S~X)`DKh$M9F) zd0Ruj-+|s-=I>v3=3)5DTJ4kI^Pw`vWj2(KBE4vE=`e9~Fbw^gejSz(*Ue8uZ=!vX zPaB@Xzt?%MIYN57dOY4Err|1_6HM0m@DZ{C-cxSEQRGc_Yjg9DCM&D_uEi z?>(z=?53zuF@pN!dR+Pb1K(diAHO_rulspCALlyPxz2dKB%y7WHtl<46X7DlcRQN@$C)rH+{1FYn4K~ z39W*57m$H=uYZ<*ee2f-?Ka^J+T|E-cV)BPp>|W}3dX0`1fL^++bZk*7h@dW zU-S;`-pWEJs9j{eFDrFL{HA2U71HUNPaNLgniXHrTEr(}rlMUfuY-2?|FwTqEREii zepBG%opcB3eec8nkYCktH~apT5AE)Y7CWe2N^Td2U*4zpZ3pofJ~uD#Lwl7&_rTYG zx*yN>uOHCU6#428YFCA3qF?XZB<6GWr&GHuu<0zd%e*fy(Pz>3$#Hsmp<&3Q7vLUK zyUD!`?|EZNKcsdW)9M91Rlk!Lsog8`IpQ`&_a7lHi8SIIsT-l{XLcAUzs28i)%;k5|`}`WBj74&l-B))+iT@_dqf}Uda~{7|J#__hv&Km-JcuK?hQ28@qYb+r>R|;!(6{PI_ALpKb1wD*dl3n zsa?b#NB`dKPtoqpu*i$t9E110OPiq=3!bCh#G4fIS5uOo;eFjUl|I{<`Ex4bt>c!b zWIj!fj5NfzZ3p6&9j|kpzMqju?cRc4nENW!k?fIg6>%|mJ-8ZH^fLL%j34I{m*qzA zxHp%@I+G<1FN05wU%|bavo4Zeyso^OxVf;M^~JY9@9K40N!;a}1FpSf-VgjU;)%=M zYf-S>~$?UUzHtNa*UYt&P zFMb!eO*WV>lU8R1aZ&O+)=%3A?)KMS0{z&@s3UhQC+FvF^%Vi+Gra#zdg}4j&ePMR zKKq*V=1fKA0ZqWg%|X40t73O~Us=aohaGAQo)*hI@)plyr!R()pZ8lLd~EnjaBt9n zj>PqiBH$);IOb7(Q(z?dc%wUmi`L`7P3rv+;-c(1`0LMO!R@lgL%{2-2DfR4!M)~X zyAan~I)jTAp@?55Z5tOrJ`2{t-yOM${lyjia5Cwwjf38m4?~=CZL4t7dp8CkZ+ct} z&cppmD~PMOY|yJmub@}|`{{e)`pZu2-|iz`M{Sd$;J@Zu%!}xBp7+J;Jr@$!rAC3P zs`F7lUi?$kn|!}C^CvZ#Uw*;s?$jOldrMev`ZqwGxZ$5cZ#(YhIy`7lS7vWsaPRVU zaMAMEZ0c98je?JAu^;tjm&Q&(JdeMJUivph{Pwd7ybnCn?B9Lq#Q=)?EC1D`x23+| zJOuf3{(~Q*e!Sv`*#BYx*1I=ju_nE@<2Jaw*oNz~NN?o9)V;#v>hT=@cK9ufSFN7P z{@v*9?TeE-;w+w;Fm^smpZI z>odK;d*wF=K9LY8NFw<~-L8g5c`JySz z$2Oc#+;n`!{qFe{+=c#zecO9jp7ooKa~>|8<8?HB7mv4RW#rSfD}Z%jDxU#&6FL93 zXF?45TX}$aojlNIp0mim&ht6^)w|B{mp|`HBE7f82i)bofOzzb^qGkBegNyc@8$S& zOp7NjF7f##e+JmB8cbdINbo;cFWy8>LkD!~2v@jheT z{LA@FZOlBC&rO@a`?F7d|9vsykG;n}r?SIe-K)m;ft{(~I-xMQJC%>~_B5Es6;v7b9Gg-X_2U*k zg_f?yFC-x<;Z@-BYj|(o#J~b5fHvRI+tbH_^p7xjd;O1yY>{s6OYUPLq{Z=cDI#Ea7O{aKdk*s++_#xJp9(pB~xL5K5^e!m@>(pK;3LjN}8~fyG$?Lt+ zjsB#!y?@~KyQA`X#L;(tXL{P(`M_P-SKw-eoI+ey;&|+UeK zQ~k`h#6?It`qi`c!$(F}ib~1Ex)-k_Z^%pJQ^s9NB5rd2ggTKYqL6<*>)ToIdD#U1 zUg2zjmyz$Z#_9tuwYmt~p{C9VR;f!l*0gWF^G2NU-?{LK2^ zdl9F1uG28$GJ7Y~i5+$Z;}z}xo(2ElV~A7ND1>?Uf`euRWa`D1l88r_6r7*`%8Vth zK3vH47MldUt=kFboj2_w$FuuB;xX+TV}4D++Uy_B_d2^^#b)xc#~wm2I|U(5*ZIFN zipP@{+`JzGf48kG@@%e*;ru+DfOy=2vE#@`U&?`a^!(Y#zl+_0d#3a2jDAJa23Wu9 zbPM!rcJAaji%)@%9Q4yD@-c~x;UoSj0Uyyh*K&$SH}yCVsq0X;BJjtV==W(L^G1_# zf3pq#UQFEf4?(}C*H?&N-h8nF`mnbgPts3V?|S>L1;o{$1aMbr7tV2gtWFYf@8lfL zPm5Lf9;FXf8J$A@hVw6b9)-UuJQw?nS0Rb@l_R+h)AL4=-UR;!f0a^^>tS=%1o9Ud zd_OVIPjNoG-mOR6RILafFUM7I^HGH+1N)Gv{^x4Z|q zi9ZD&Tf^ae@v2S(7j>>99$n^1H0f>AgNR4@P2zR&^^HjZnOr6Cyt{-FJnyd#2ZOgP z!2XBdg1hZoqTo~e4#sQ!BKclX|G`SqdskO+o?G$nf}VdL-k(Ej!AIA)gF3fwnkSHt zYqJ2{tIhuE`b6A|#J9Y@M1v+=KWDG?Cx5*;0{xndG#+o;5-W(yW&FKH*1U=PhEx&p zQyg^!uLJ>c^2edtY?nA&u!ApD( z3224+azCHPc*V|;Ry1DqPesJ(1~=w>PWy`2dyXgYk&W|my=@%Qne^`0ec*PV1b6Lx zaGu&Oe{q~o?xJ6B^!n)(r=3_I{n{Ib;|Yw5A|J0d=TkR$hq@Ba8sL5+n(}zX(8{PQ z{eF4Wn@n4SI8E`_h*PvKoJ{^|RbOzmR)c%RYN4L>`6b};ct_?VwsM`%JQF1BtUgYPfPjT)9^6Z{30~hDJA|5yY1@hxY)CboK25_8HmSetjYF*C%of3SG zw3-%9aq4R^oS#{_c%8QGgZg({`FziuPu2%l!S^ij&qL%*{E?saRiaVPDzpQ9)b+E> zFN~RnJS^A&z1OS_*1Mdw?mOb5YFWf-b|_wVW$L3&WCqup^&gINM9h0VoAmNzR=;gF zARhB<{U-qwe`+B56_2v=@KO6v=-cr3GB>j+>Q=P>9_N?ol7{u=bvuN3yr(VW$;V_Y zMw~J&1bQ3NuM_-7tbtzc9f&${4=Nerays9OymoisV@d=e4>mgM+({gOdx&ZgjC+pE zQHAGmR3qNsmiifrQ(Vp9{Qsw!`|e#x-1xNMd3^gD@?aAT?m4DIR-MnDg!(k2=k_7J zP3pt>e^d$FwW~dbxHmf&xE@*r+{(N-zijUxdAvhvfUB^6;iOlM#)G?!k>EPIV_)Lp zYE#x<-g7P>^P{d=W->ip)t;Q65BBiAYxvw1#KrT8(CYy^Q0J!fok7IC_jrHyGH!ya z$r-g%NMDb?7l;ezz(vrqVB#`pDB_pplECft+ntHq-!?M8)*W1Sm|u~&dB^ua?@V!U z6PD2+Ad`C$d=IpNClIH6_sv$~a?vaHDZK~z7Yz#Id@+mod#jBa&*QoovxxlVt{|Sr zV|94GR_?&OsO#b2c1kR`H|#Ob@5f!iU3eF8Tkh!i6py;X`;tzG!Mu3+ZjGREImzSls_z7ssm+=b_ZsmzD~6n8 z9#~-{`RL|+|2N@n!BtvL?4L3rlIL9%W&YjWe&l1DT;%!;{s8$A$EqwLAJIJf9cnkT zLZLUgeG=)j{v;K8@kiFZJ-QU~X_hX7Uin@)O*;37!MxZr18&17yb$J5FS$L9KFgpa zaGg?udHyeBh^yP@z+GfPaN*Y}p17V~4E|!uMjmh5(1q}AT@QNEmVc+!b@xWY=iL_W zcf?R$7k8VZU%h=4`$vrhcMA$kCB1BPmwj$b2A5aAiX$%W=iz?eX5FhV2hSyLM}7%z zAC=|!$IVy}1WDZ>_%r zmv#&Dg3ne!Ut~4>b^Z&ypDZrW3;v$X1NvStkLpSwT7y~3SgAGL|kUskHmErXj%l9i&y&bsgbb$TO{fKi)g!4SApd;Y6P_J3! zZ{~2`TulpqmoR2I`Mdl#;UgbTIzu}5-MDai>QAa6PJM18^MG5ZXBR()y^bPZKwP*D~~!{TD+oavwfPpWV@05%g3W z!l8G4`Tt?Xl~GB=y_d1z=4c0w=irXD#7&n+$dB@>@py+M&P&PUa=V1TY12e=n_qbTWR@CV%QNnS@vhhQJJqCB{Gy_nt3d^y0rc5669Qe>RQ7=YpT)_|1X4s0Uks zf6sKqo)_j!F?*`$ek#Y4bF>|x~7 zE?7A*C6k+|tiKC+?vHikD(%z6MZuEL%WTWA9!2jSLC~l1zT~R&@2)CG%`xP!#{LJr zj(dRfPTbfwkGRM+0db0DOU^^r@gCyW6N*Fc9pHPBE7oB;wVP+WpBvvhysv)!-eTfz zUT%)(<`($aeSLM z{MU{@dW=vVPwa^#=b){%-Vt98bm8h|>%CC4{(b z))79sfWbtD&U z+eLbDfcHIle>8mDiXJnGdmReFM;6G=J}o9LBOg_&0ep0k4AiaHJ9Ihe&ESgQ?$r_O zZ(h7u2cHW^z*X7b*(b**+lY%}Bf!n;yzp^jr>`ZhL)Wmr*eK-L_P_iCak({XpRd|5 z6~1rsjijf#y`S@c-~jUD{e1-cw(#l0d5CC@e&vihDkW3zIwo_Rllb>lE61T<@0U|N zUcZ&dg9+(2hx|=1zE_L={{t5duOUBnP$=}Kdp5*xV*kOss0OQeT=UZrkNCISD#Teh z2lV#DSNL7aWwS$xiz~~(#kJNLm#H!!5q#^P;NF`}xcADwA0W?mQy92=w3*{+Q!EDh zC$~=zL0mQC`?D%@6x{iK6HDCt_age$K@QvtoPhPK2Bm|Gi+SMhyh#b9cQtw4 zsW$v~JMLQSPU1HIBlh_vn)N{w=Mfk8cz@PI(oxU0{8{YJB7o03UAZsUL*5_eq-4sy zMSPz(KmL!;5ue3#iMtEDKkMXcs9W1TdLjAiJG{@hZZXKe*U-cfx2yQx?#}MReCY*+ z#*mMx+y(j6xA+_v7Xr4DUggiq|JY_6e;&Tanir3Gz2Ccl^=_x_#Cffz_u%TmTBCQSLcQJ$DFOTPi-mK^I-P|jUdx$$&l=FPx4xjILb7FrpVP%=eRYTp{ zJg0GQciSp~yYsPJ&$)8O(703ve=m^Ts`I@iT|^QWMcY8H>uzWNB0gcn<;Nbl*|eJZ zpmP@Md;fgTJm%LB@Lg-!XJ&5ZQ`glD$kcn^e#7G}*N*3F{Kf^uO(1`duv=>* zZ|>n&k>n$K{eyh!*j&i7QqL!l-o955{_1Ke&i}xJ_}(hhv%VLsU&j5m@JF0xR0yw& zdbyZ~1><~Fw~nxXGyeV4gmvZnRA}QE#SCAO4;=gYPH$ZW882U!O9O#wD^%W}nF4xXybOtwsL! zuNda_J0Kpleo9~H=e_}Vg8%MIT=EYm?gDl({~`i;R%KH=5SJr-kp~rcf%9*h;yz%H z^d=GIKXerU>-A4mPV6Qkkd?eSwiW)ip^xF1{xe*ms> zzTtc0?>R6omy`dVN}lV+`~TY-oQISA|4?rAUvtS{eiX?1&`8w37u7YHxN32n^)H%X zyk4Xq&ShP-3b?q&e;23gUch-|(*Nc04(Hz+y_N>&qwKH&+>Tm~I`_(K=ksDoU*;Vm zz)km%DD?Y3KX8+-z*W;?n0GNWC+p+$fZM$Xxz6|V_Xsb&H?No16Lyo2ce5e%I`{Xe zf77rr){*Y?2J6UsF$j9uB-{KH8t(|cSKCt`LoaJML)`S|?^8BUB)AAanoQi=kOThe zmjG}T_E8di;`u(QYw&$TOjwP5RT+nVUE)mWb;NtiNiRP;53V<6{f?Sv@FL=3bawcg zl^XLR=hwzQZ`EJWt2#e`+wjX{11O%g{QXX4JH+!CKkE(tUiWk^p0BA{f3N?f(*n}F zspY}-ou^zsjjAUS|9}7f@63So%Q%Vof4#}!*=o*g{5^PB|12%Da`de-)9c#m2VKZy4(bQdf0qkk98m7d$s(dKc4o;n^mOOKIbqlnJ*0f zdS2Hi=x=8{xbDRNkFRI0z`aQ4tHOE6C<%YJr32QZjQQ;Z-Ydf2ujPYiUcWE%9w)9Z zy@J0yGpG(eA6SOp(e&p(bNr33&q$$hhAjeDGeJUJ|#%18DdwhT@=kw zLTISH_OUOiwf6PN9B1Bt;QjS^{BnJ+?;O`L=bUrSTyx)d% z6z1KKdp8dK%G-x~hYkrF9v1jh-yvbaA&$2S96T%}lMfpZ_;X0+eHGt&^=kW6_2JR{ z|M%agj4^Sz^mV_?E6>s7yt}G0;WtwT zHyr23BhYU4RYbe#PVH>>NVKzB3H1D3FSK(>?J9ZjH9SB0COxlbUU&Xtc$R;kN7l95 z+BMF(tJpdf?RrF(f1wd*mygF#`sGo8p3&@cg^ZzjoO9r*Yqt+ZKXjb^x*Fpb&BO4#IvsJ! zwM)<9m=|+doW=7|9&~?dKH}Fu_Q3NZ!WVhs+c!UVI_dpxqkG===+oTYvtu)895oZr zZsWx!$JJ)vmhNgwZNa?Qq)s2*y&l(VZaP78l4{$kY9gY8b&Q*?!^p4>C-~f!v zEZjBUakC;j`J4}>_y$L7$8~I1^6C8)^Potg$wa0*&j@vzhs9$y;T;yGe_*sF$LC@ko!Mw=QuU0tDy*;VlJD*Y=w!4;ycs|WX<5}MT`LTb0wcIaLuXenG zuS#r#eap^B4|aO7@^^~kSqSlId?5TwL=lf30xs8n2n6@_B7U|QagWoX&fm`SLH^an zLg1=yo^PF=txJGj?OBF-UM>;M)?*%T_rGm4)6-PO4|E@*) zoO!8E#`PNHxR`p5=HuXc^s6@w8s+DF#)cstd$u^PdeR@Ao!(^U@R3s!$Y;-kpPgPc z%Z|L6pJ}`-`;`@r>zUQy&mshkYeb_dj*I2=elx>|(>nh5BS^IU}~e}}97;JD_M5RWah1@W^69;+N@EUT_2nY5O-tRHkap~Ec{A0uEJ$z&r@*w&~fwP)B$mjOuMevCo0xmjq1LyB&AV2Cr zMZ~8TEC823uYkYFdOzr5m9U?PvGrCuAF*Q~jpyDkS#{oFI{fo~3T`gE1ebTu)4aUQ z%5R06^xiwUZ?0dakLo-X@u=j_sNRAe%yK?9q7=9pe*j!IDiQ?$Lpe#mW*X)H)c5@y zR|gN!JmswkZavd~b^hY`uh7fh9$2UL$-#N>DRT$h=C4odcTWil~v63T*-`zPBK5u`=y{bL|<5i8{MmTPojfRg1$`5~?(GmXk?LEqyUJJeH(i-(+ z%Ul50V+w-vS_1Vc%21wF|M%Ee#f$Y=r|OI^`eldLpZ0U(+5juc@x>!T(TitnOIy8NUcV zdcwxBE`EM+7&tE#1TG?vgn>UgLq17=P~G;sw9Ij~&=9{{gW_3TVv^&k^JC%@%8-BW zu~XqQsWQfEB0Wgo?*-PoE>eiN*BF|gD%q6Ni&)B!9#hI0 z>zt+JAV|EaLqGQ0Mvx?E|WBd+N7JBJw8vb|FqtFKfJe{Ul!L@&Rn#Z$ip=X}YaIRqq@yI7ze{8c~ zroRmJ$GFrRZ>r~!fr+kPvu+{voBs#+%S9r}aTz^>{7XlI>(HH;M^Tf(M}C+{KD#bq zU8w%F-?G>U;?LIN{cdBQkgL%=3$(RpTKMwm9|MoY$ z@5H@e^4Yl&<1!yhq7F^L@rX|qJ$llOQ+wnY;jX4sUigRySFn!El+fWAZ?O*Gc1Q`V z7Zo8;Ke8Lurz-e0+GWIitW&#mDEc)8%R$fIYP?@eY-?~E*qZ#GO4Nh$q9y5^CA$eXxU9OqB<_BYfG^E!uq+5TIzosX=v z3;sIyQE(A_bAaRgKAkg_FQfD7{vp9BnOvz|G_J9Gpx1t-hB_|h7eqYFs|)etDc~xx z6S&xOA93<;Muj`Qd1b*>!xtEr46lzot1~wdr}FMk^?a+^Oc#&&w;ko-zqZheWmUr* zR~x@VeVS^yQExUlcarnh(Lcgp&Z>d<<)pE+UJCqz^`eq#UeuHqzd0W}a~$;gW;Eio z`@BcNr&3Sizwbso{ProlA4Pk5Z?d_YDV}_uBb<*YkN`bv{Sf`KQ%#pRAHK2)t=r+> z(|YaTiFL}ywSiugo(msV;c>9@k!4SU%QYj&XHk8eW5p`kzsv+W_lo$m1y0ZVRlvNc zjK6UeJ^QS1+#K~qzjE*_#4o4#uX3EVosE2osMolfHg>7w_E`()*@YKp-M#cqT>`xi ztw$E~6XLQVc?LPIeHu~z>sCSjRduh#luXX**QasWG{i3srA~C*Y+eU{edkByS)4Mm#2I z_#EfYFJ7W}JhJi{UStgT?d;(Czerr==Anp3^;?X7&2u^rva(kboZc*W4xK7g2m63% znvVV7d_|v+jL%`>-R6s<48X`|DRq8&iWBI zm5coB^mbi;a5=0veDwDr1K@MKCAe795!^oB-qCRuun%=?x-Nyktvq0zpX1+jhn_#Z zO8VJ(TR6`B15hV+FvD~DMK-(_Cb>AZxQcu6 zk=C(_J%)M{2kE`YyLQBLrueC~PA?Wwo$D2W7_S^QqXT@p?kAs1<*^^~$b1W2{MvIM zt(QOP{V7vp0v(qbgP`YE=)53%j>G(lwBeX{-n1Hxw@Gzczqc}=m+{}B-g*B4*x&T7 zo8+@37F?E~bH4tC>YtZ8L+fSJ8hnm6fpi{Yl}ce;vcm|}GyCj!_?Rmp#Cxt#E>87^ zzRwbEdQrdq`huJMw0?wd58|D=k8^q(-yc3Iv=z8%m}9)-rfE5fKkspjPamldA9nf? zbh7l9G~V6YhWcgd^~~+$BL-mKP_>F8e)iW`aQ%+z-!$&u*ZIq$0p$O-Hr4aBs-GdA zNp${^!Sua^8M-?PdT|H+GVvefJAVY#$&02gP5BJ}>Go zJ;yjMlV~3{eO5uQ=iE)gb1jZRFNd}y-f7>+6sNyT^=4NlQ9X1l9_Ki#u#e(=xEA}H ziaMtq*GuMttM&K5b=x-aj*DNj-e0-C0GD!ZlH;mn*1567eAIBYz zeTDq9Z>NLvwH=6etT)l=?UN?p`gJ(*Vy9^y{XPMgj}C!r-;QBUZ^mq*JidI1bzyV= zh5XnuxiEgw{T;@u_SRYH=i+}?3_dE7&a0~6mJr8ny*}WgY&qH|bCu`-|J&P1zv>fk zeRo%=#6j4hxbULc^otu^CErddwUW6 znC9zR9QFbEjP?O}KZW>#1>o!=o!dpcKl)`2^UQJnd`H&j(6kTazjxLO^y`!L`L~D{ z>F=vV=*RX$oYE}Ayoius>F4sZY#KN}n+7iL#3Mhd+$wO9c9-TcJ|h}FReh0v_H-1u z+K}K6ANd)$o!)_bDhsS5);#Nb+P&>*zP4^#>U_-nRrp=ZuBZLebh^7-(Cd& zV-3KiM;h|2?;S zt{tX8&kNJ{pXy47mGG}J1KgzD!MMzciK`r!W!}+v19qQr&+GU|yx(<>qqf1(Cg$p zl;^jlu|L>Bqo7yin;{;ayXQCPH!>BRo$5_-{&+Of`RG=KX?`ERJ?ZY{`*y3`l|7jN zf3fQs^y=G|G0unIJ_&AY6xB(R2l8g4#>1bl-GV&p*v{jfkE;4T`LFwn_QkX9wmUAm zoPiJjcQf*!Bc{`MAFm<*w{M7-s)YRL9IfClme6}rwkd*jq=!`nHz!V_U+L+Oa~->V z6~c(WnQz#SiP9H5i=i=koS@Zs_@+^!urPcO3hz z%~_m$QXV2s`=(?q=OaE@ggDiT0D8aoia`D7areQ^;LpHqauD*bQCtmh?}PXkC2#;1B&OU+Q<;b;@(}-@P1XE$7j^?9V~# zI^YK8-PB5;ad{V^_1Js*gp^FVsjVpw5v{SVb>vaZFKi`b!(e+PI7v=uL#9IuOISYo?VT1oc9?HfByAz+BdomrgJHy_l22!0&#NR zVI!TtiVuU28C-(;{q)!l=ffVv!^g(Z@5TD>5A~hi=BGNepEQBL`kwW7oXtE$d8qXW z@dy*X(D`Wp^YGDK7t*?$wql{v>)XT8uQ>1$KK#~CJDpzsoVCxirgNb9;>kqEd9#i1 zQ70OaPse)N`EXwk_^6PLs9P12W2MupJlTkU_!9e=I?!T+g2M{|;V!f-C!%%PX zJ)KL9cU$zUpKp~Znf~(6&g9>#J@U^R&cgY@Cel7&H*^Mdb+{SxP za&d|&UxM>(^n09H@#uTUb%`Hnyk-jWEW5<4blkR}bzw%+?_Ellh;^JrjVAx1^!+72 zaS`j0%}S>625v(>?TJdo6c9(vN&hN&5X-bU#Gv>ry`S%U;Ehe!?GPpbu^eE;@&Sv()_P z*RG|{9dhOba9eT~&NH^=Lg@K-8;F;ZJ-l9&}fn0OITO5VIs^?F6 zuA7Yfn;)iv+vYo{o=e4I-_twqz@NPzj5-vFyL!7g?Zi5WUoG!|bzyJ(hB}w!>6{?? z(0b=P>2r`spGrRYo?>6JZEGPOek!Z31_#1lT`D`z`LjDy;Lr2#$GCLB;Z2UKvq#A% zATRpWAzsRjOSaF-gP`}gn3^`;aaQvt^eTzI$CZ0CCOU49(B~J^>nwcOlIGCM;&jdz zyJ{j2@<7W_=vx(`dHLtBD}I^JtNKsB1ph$iE*-iXoKG!q)BRnU{jDD5a|!)D1rHom z$34eR45a*D%LBbFSTWRbv$qPyYZv6ge3|lWA^NEtMdMx372S+YdwZ#qy4aMo;bw+hR(No z1bsgzYV`lnajE0r&rZ|db+Cz#u#U_&%BSpg2=%~=-v0_drF%gy)_#F_?AJ$WymPmL z%e0x$vp@Xsew3AI-{X%)BG0PI*^X&PjIIaddJ)gpn5(PMe*baMVy+ynC|@TOWOB%>}t#l8*qW% z`}cZdUij<%h{wJ-ihbLZr_Y=6P1fIow5x?W(XB_&Jo+}lJgO*-?*UlVrRdj`2mv?q zmydS+>HvBVsxp1(ef@RK7#Bb5lJ&WGO%GakW7jTr+=M^Ecy)*I#N#JopV1?CfeUZ? z-P257wA|_S0(zgaS$$DIa>*|}(C;?d&-wXx*!TGBfG&=kFq%hO=L+qIOL7lzT&`J$ z_}R)^r0>#jjN{^PI=CKGlInc)b-cf1iN~bBK)(x!HboPmA2^-zd3YVw=c&EePq^<1 z=+)dJ;5N@_%$JQz0Otqj_hQ!JEapqDX%8+>^@pBiUpm40b585a6zK@A@-;^tnqhPv zlLx)PWxm$oPOqkAonzZ){qC7OV<`Av!w{!vwibHc&p+958JB@P^Df(vf77GFtdvY{ z(iVc-ne%8KOO;&&KArL}U;YF=Yx@-QVs}j={l#=}W!Gq@=Qr1Zt1Yplukd7<<97E2 zaCY-4xGD1+KCg*o6G>m>I=F3=27gsF5?tTSL+hwUvjpcO&n6Pz8gkCh#l6{coV)6t zW63{!F}SQ%0sA4lnsv^cZL;`xgPo5Uy^iufJB{kfUW#)*>iD1FCSnmd&j_F6`2YR; zUz&mV38&or%Sl^kUknPL=-$ibL^0Hdy|@eYBHBp&-pyap=K=dLC)H^P^LO=Tr~E?o zH-8!SZTZL7{Tyda>GuY?l>WYvd6x(Qzn=?wcBv=y{N0-QE)Kyykk6BN?DKX}*7sdi zE@PdG_u=5O+?CGo*}etqS+X7Ae8xzePgD^7y{1jPiua2O&W-aSfB%x|zVJn?JM|@> zh<@i~P`};jd~W>9c6VG&dV_w=kY)5sPkib=tMF1;4;wtf)5H-RqsxvHz+y zgXn$qtyfQ{H)ThmUnS&FYm|udCz^_bI&<J|vYA>~aKlQSGm!;d>v+be}wL5>5yJtDC zK9|}DwLm-Tn%iDy9NJmRCbaW|0`1(J+D-dmcQB4mo-6jLBA4E^`h0Zm_%oh5XrI}d z+D9%#yOZ0_iw08r#06-VTNY7!EcMrWzPNAuORuD>_NnuEU$XkFEw!^*<8Fgb+JpIv zwFA!Bb`z58-xseifA;axO=~Bn&$wgT_3GUI+g;(mQ)k^Rv}Y`IY`fe*?IOD3UzYPi zEg#_7@62)AuGjvH_-eNi@XOg%744#6&~Dq#?&P-j*!mRx^5uVNpR!@`qqbdj-S*JF zi&jsMgU2j@9{cC>Tee;F2zw0vRo&9(C$Y>08y^?m0pR{;wUC-H8} zE8EUeO1yx5cwRhZV!-L>bt$YD?lU`9CikJL5)$)GDsQ(%NXXsby z-8=ha&+7R^C_G3eHL+s><$LtcbW zyUVt}^V3&&H(9^Ie;GIm{n@%75GTET(_4&ldHPn{U%OXpfp^zf%tO4IjdngH|8~pu z?eAOJr`-G-@?uJK{bb)wnCq_8oTrnz&)vSWSBq|d$F`yNxcqDFyY%_FsC|mg;pi`K zU&|{jckPaPW68rZn%VXpuh3s#KTqv~-y9D>oXmFrbla{& z4$}B_hM-;S@uT;Z<#*e5Q_Kf>W#Qj`Zu^V=$xBmno{V?BYujbhy;Qe7>!Y2mbpPG9 zJ6{H0M*Ef_6xRkVGVFZxsZNV*JKx#|T(0;H<2f^4uR*_(Uf}%p2&@;?bJjx3)yvPo zo%SPXe)+<+<@!cXaQ)_Q2|5XNYF{cX6d*%$-iGV#DQa>o;h4J3Wh(*DS@ZXo88>niy~#AqrO@J9aFH@7;CThe!_ZUae=w>HLIYL zzbf>3W=n8=^ZGQ))zFvZPs1=;x2v~IvHGf2N#sSHXpTJar!%nboU{tWW3q`i?1FmZ zLr%ayr{u5T&f5X=t&VnE0M2TE0%tdCp-yL^GLf46pLS9(d!O_rZ zH~{))(s=9-PVWnd1HT&q&O7ddj_zfaz&?EpxJ>8+E~bQ1d^%Mm|0*O9udodHb*>kJ zpVGTB_7gq%2l8{$NZ7NxNvLzy=fq5_?`+La{CPIGTHi6+a`E*t#8LEmfOAi^?>*ns z#-Z+X_@fFH#k`#1wGdBp-VNLtavYp*{><0v$PHhDv!ipUE{<&-WVtH)JLSp!M~c%W zC&}uoQQOGAK@qG|U1|LSYtJJ8BJSG=T&#~E{*5=dNSp^9@$kJb^v?x>>wqwD({^K^ z<+}NPysK(4m@j|vX#(u?PavIvg`v-{)_}e|`xx;N=QhD!KAVd9iqEctn^VPz$3~+* zP2&;ZYSVw%SGn8#@fi0_4U8*iZNBK4;|C9j!8#JBHo~3-jior3&x*75yk0r7&tD($ z)Rp{)*nX_&(SG6+MLd53=|ps#Wc^oNLrI4X z1sCVH1zE2Dy$sGH4x?_l>w%S)OL-LB39U)?jq=36KIk>L?3%lNtM{I6IeX-R`8v}I z!QR6%^`{p`=KV~XQBHX=sYYBdz1K<#_ezm`DI;m*L%`@ z(l2~rHgxLHxblz}@%lev9r0}1PlP|s*LhMf8v56gX}(P+lf6uw3Z3+IG_M=G!1

    ^=-=+7{#L(w9iOjsfsZ^y{bKd=Qa+P?BWye0c^dwX4+Cd;u8+lipLbDx zc7H^_*xdwaxjLQ;c}mYGsI$3Wa31tgH9M zApO4|`*dP5_($5$McywopHuTkrDo{)Y?}WpXcN`{&y{%I(B+mQe^L7`^en_1=LnD7 zOZn_`L!IUDgLAAub0&kcqZh%=wO{D{q7AJ_=fM<=mpHe`-Re!1uo@dO>ue9!dqu+yMt$WZrP1+%U z(NaM#+P|kfm!6_^eb{%f_1BGZpgz3vX!ywRu6~vqP0wBINk4FLGH+M#hqPYgU2ozp zrGK}aW$O$dv*rYzAM}hpEj=@^xRnk4)u%J}t5&sfE||NKl;@RwnCIqc(nRZ{M$z|y z&b!5^v#4^cxAigUbWZ8&tHAZx$06_^Pv?c`-V6EYC09CFA91!Q#T`49@(GW_y3jQO z5Lf)Lj>a)2X{^#9Z3E$I&lYd|6_3Y9#zMTsHVfB32Hmavj2kc9#;^pa< z>!WmTip_`N!@{}@hks28e;ro|_2=%(X#KXKdNPwaACmq;J@t`}(2LDypl87cgKa*% z-5kS9~PaFH3qr{Te{~mD4&h$mS`F z(!L?GD)dWyD?#J(b{+ZnO`?2UzF|J|`kDK{1Nt37ZNC?75!_;SG5I;twan$L#z7z0)rc{>+{BEAe+}(k~iA&nL6yQ{3q6REM#RBRsAD z=LyuW<@JcC^%9ng%k+Pt+|L)BYd#41#7;u}S?$r7SLS1ZsnCZkpz(U;P4n&14)6@C z|NHyjSb+`8urKTR^nTB;rNra^$&b_j0rOXvZrOPw@AVJ0^Ge61VZQRi^nW+%uM}yy zcp!{!h5A@{0dzBP!(}?mt;Jb@~WA?C++{2>bb87_7mYk r|1T@t=s8nvo(;Y3O#k1k(_#@<9L(yw#s7HSIe+UHe&T&KBKG_L@Z0l%29%d5Q&n6Fi1qiDhUyy3?d;) zbgO38YRjro7jdHZ9#+khx$gW0&#%wpm-G6(=Q`KibI(09=bVV^*|$e8uY7DGn_PRC zZ}8Bd+AVqQ*2A0EcH^~&j}00hGO8zJ9A!`-*QUXd*-Ug1z$E-5i&Uo?I*vY zUHuw}b~bwswZ8~OyUJ_lw~wM--QPj&A41SB_tO3Pb>o8I@Lx{tY=`~G+-C=M zMxLz?Zt137c<1%Mtn4kc-=0SE;JWn>({4|p`&Hw}XQo|yU3qSn2A5r1 z(75+JLA$PUEz`8K(*Bqq5g3gt4=$f=?iafTA2aPDDhA_{KE1CQuGeHxe9HZeX}6Eu z!hI~O%}dj6)j9aiT-ngkr%k)`TSVi2`>Viw}Qhn|AeNE7eDNFY15gdfYE= zcfVlTd8bC07ro=!zve#Py$;=fsw>^kx8pwR*$Nt0>#Ed$@*T{Nx{><8+{b#4xQ_cB zrKk?d#2|jTcpL85t2aJ0?W(|ox8|z%A3*->$#>_P-}3kb+gzqZqQ8$qWgPfQv2zLTcBgBYnZDz_YiTa@;CDf^Sj^Q zG~ZWt{ns}4w|Qv}>0g$cK3IIScKjOXv0PSHRrQM#ocso!dM&?QGL^{MKiw zU2W|~b-3Wt4cuR(9QEI^Y(bGLml@O7nYdVK-)z$^Cx1ZR^|RJ!7vt9KNzdilIRWh~ zdlc$|4JmXJy&e_$5^W*)&dHZpg7va$#dh1~saI4z|T8An* z(dgyUzTkR)U8;lkPHPPpj&9&$-~iN@9drc#GT9YebsKoaVeWsKpZs?w(){lp18zMT z9%$Ox_)668?*%WL-zuo;T;ng-l?Rs@O)eQOGCIsRoG*Eax|Ttg&qIH`hcw(u2_XHU zzQ}{M?8!pt6NvNnzk^HP+VD}^{HfnFiu9en&W65SAh^DKhVr?8Q&qK(+>~?Tf?Je}YIdO5k9qLS5`$FIoGZ1?Z$mE1|bLoE~Yoa>RjKB`<@sTb;TXZe8>Ox9>Ga zeab<_raE%D{bU>bb)<$nPjU>IVJH^?j@g$>{hbV8hZ#nqb15;NUZe^E- zUR=Bjy&jb`2fRiT_=}w7RR0qOPciO;2ttj|>C;}h(@(|VGi=r{$yKYlFFK!S&UwEeBIw~BT z4_b$M)1jlh4YyN&qIf!7Mf`SfI@YP!UJYEk3vl`N!5X8t_B25r_}?Rue>Lb<2k@+U z6sN0=yorNP!_n`76mWgwGWlrNMc`*wfZN?>P~IB+i2R5abK$St(@B4{aWA7+*Zzli ztQVo!Pvn3v%5b}whF+H0jyl%~l_L$eg2sZgR&T-ioi<^Hvk_;pE@bQK7ah4j#h!#X zb5*OhA|Ay)kMrVy_w)egK{b$19)Ftn&}{g#tQ?xh5#bw+ zzqS4X`HZcOb*dlTSz!EyM?T8`k&fW3{SONbx79-E?Eq);-}||*;d0h`aNWEJxK(xV z2p zj#B=Qc+WE2^2~x>murPQtJfdtIUr^wxYeKn<+IoL!A7rM?E+VwXnysjmy^(M*G=Rz z`vd&BkEfsEq9>g@%ZAYJFhTBfGu2tL96lcv;X*fGtn#MK!AaS>Gs9SNkH8{Jy z1zcGfvyI;RkMh8q^uxKpOK%A?T=r-Iy+}NS_-*$ss9XD4OK`qzC^*}^8uKWQwE~wO z<%l17iFsG$+mMfa6aBJosZqwCyWOMwoPP^$-OVQr*9+*mU)jarV_ofx`Bif-LNDGn z1s6}tL>RpoehS>)901PupPdfAI)d~Mp5VDhuRnq+gr&ygG0U^meHM)bG+Bv@g}MCz^icj>6!o*Hv(_(JR<+;SvvS zJ^KgavNO{#FWSis>%z+Kmf^_Nsc)Soo2%tH3S78U!TMs&Jcb${6`c&u5*uQ@=!3

    _JB z4IgW`^4<=;nmz_TYKI5LrHjz~ikAzJH!*e2vh-ZN{Uww3jRKu0&r{oC->{zafWP!@ zNb|Cw_juzktE>RGzIub}PrEA`ALc^OKWc+BIIo{-87_D)%1@cYh(|lm8fLgE5DCub z4F_jyi#~ShL5nd~ek8-AY(E|gpzlr*_78|`tOQ8AsuLM26jh(6B zGi?jyGlbq>>;q|Q4cFP7DE{hs&pDMREH_+rOQZbgf9M=f83-=w{Ohu};?s@)$v})thC3k-BJTE7!}-R4;m;kVs804xj59vW_Y%dE9EUup zUzWNXuG|Vzelp^T?}@GlpI#fl?WUcvep%-|!G^1nbk6Fcj}Q;*>>g`;1p8Xec8V0x!k({jPe|{jePdD9$>gUk`B)2 zUm^X~G93-KudgL;7o~Wrz5B)ZvuwL;y67^D&51ohgm{=$;iV!}+*d;Qa5!sB=-WL9Fqy{*8pc^(qDa`m^^C z!&NfnK`uQ>@qDaG=R)(-$g^tQjK(`UXsz*QFTbHU+dZV`js6i4#)tQ&_Z_ZEV_nEG z#i9(?C#h~#-(JL^O!n6#&A0!lX$0dI3M}WyNQO& zoPFRrv>@fvBL&|9 zy^o0FV=!Jh{2%0ppALtQ2%m^LXCdVowCAjGA-_`WX z#&!a?F8@qEwJ&46+x{WoasWNoSwmWOGJ3mlBDmUl3~{PXg*zHX{K~ z=r`j4^t^68s(-JBIA8eohv0f>E$CUhPFSa^i4(0azr6R9gMBeC))!iL;_EjwkG?T0 zOus@FhTihONAtLU5V&?f4S%tCAoO;e1MlhTdOhgvAr-;-YR4+$!=f8ezmuAQ>toJ{ zhgXb)j~v;F=B3TiD{zAeJf z`0(iyF<)#qop;JReYoMOEqw>J{r1v)P3*kP_{;V)@0oUcG(B%<)nP95PIL~kK?M*$ z+tmsCA)j6OzG)Y;YhE;0cJd9LE7YlX7%zJ|67i^buZgBzcXWk64;lu}ugwU<{Urv1 z3nx!-_TP2Xr|KF{@kG+Oz%Q(rXY|%Lr{K>$dqJ`6er2!cv4*qa z%_+{{=h(+YWhE`$HI zw&41Q&!}hd_+968)9=7_7?)M`3hmpel~DiIsFgI{ec~h^M}So;8?) zb6F-hk^k75(Cg+Ala0UdJpny076h(tRF5=VuY3e9LnngUt0E_YN4djCHqHB9F=GVs zpxZ`}{^%KWCLaDjaO=!jPBYdkh&53cr9%Yd)@K4q>dpM<|%=_>Sm zOn&53{Bx4xJm&`k$bu0e(8Ju}~4l_RL!Xt|FNDK5Ux7iDgAOBF0 z^5(o9{mQoaF)zAf62<>hGmMw-X@&Z+gD-+B-*(`3L}Zll*X?OPVY@uR*@SUeFMP*A z=-H5$$b(4u8g2CQNG-&pz3DkbZo7f^an6HP=!-_g}OG`hRYKTmEC97i;?k8P1Cz0O!9=2A2ggrWr1GF9w%m=aN4C9O{ri z`U70=s*QcjnpkFn(Tk}&$mdHeJ&y&fK^{csE#PWJOK`a$65|!mlEH2EoZ^pNKFj#% zajU?k=RR;t&WtczMbmzw&c_m;`7RK=-D~JYtF`14HWKmh`8nh>`~)~39TQ^o{C085 zXU2Q-Iod85{T_Ftd=~o^>qUGTHO_G9X`voutLa$p?3e5v4ijfSs!!{E6!q)Bw7t=@ zvPH>f|2%Nnp?)93d00H+vC4X5eTn&pu)g&EOp0IUJrDR#L;l5;<;2%Dg8aKlV6ps<)4yW*WVy`B{}RL5d#X3yv;nwPWJQSK>c<0!-yYGL&dr1L9g?#()UUT2ofqmh>O?F*3(glf zkT*86G1ign-4gw(*F{LbarY|tKfeoqsa?UXsN&d9aTM7Ts574jmwF>fJeI61A9zLG@tCmK+*+mAeO3(Gz;vaB5hw93ne2mWV{hsh= zfxF?uk1pK~pAAc)mp4vOJgmEi@lj!K$!F^@+L!)*H_~vqd=28UyDou``sE1n#v|zY zP2QxxBUlsHEi!s5z=!7j3VlbCulNqrufDvA`fd4^e0-gy;cOw+J7o@ji; z`p@W>)$LAo`+6(pQNRBHu1^04uK0iJjE`J7isrp{-g{8i(v9dhe*?;MYx+B#+z^oj zUbGIy*>W}NUuK?xj~dn){<=@VCxB1GjH`q2AQ?+TijnefN|9RiA3~R?-jP;@dxH zze*Af4Cg6={O8kmdoiRW{OwaO5RYXaK>Sw2C_MLy(^JU54E=utwsBH|@lm0Bz}e($ zI4`s(eaGgbKEsE9Dv3Igp&?;L&w6Cgc*_)^`uYCrWW*D*7hF#MLgT7k6?tPjiXu)i z?-}we#DQhdw6#wv+ z;9^4(`n3*D0Jm<^`?c!xXC!>Q+aex4tRv##!Y|Emb#N^7dg2-Qs5-x59}~{BpX*5s z=Z;D{BGYsAwxasiD|XR(>9`8d8@x2_S7OOys+0W1aW1f`e^Q(wF32-Wsf_&Vm9vQd zcm>=JO2qpGU-1Tc;9;{dk9<}_M-!*EToAup@)h-eRkn6;@8f9O)*@i z&xVi6puY#ndHX4z_%`TQ_L&KPF~xJf(Tm3;;BO~h!nkdisx}pTGv$yL$6)vIa7Z;2hLvE zcrOrkVZ3Ac}fM0OIGtn zomizFcQbmGJ&g1NoUfYS!oU7v?ZV9 zJ^Fu8EM)`gL{;&EUOcRcd6Wf4;5z^-9s#{d7U0}x)mY=h%56aW>cL-_FY8HWM0ze3 z6X^ND{%scRC(|z{7|!N#N{g7P$Je zJ)JL={|48E_Mu<>K6Md%Dh{K3W`BqA>K=Df4cE(PzNA=;^<}?Yj_*RM5S>$O>IFJ? zA~Pf4Q;ojQ@H+JW+|*N_$%fm1Wn;Yd=X21rvOcIoyX{}#vd1R!Z(khwSLGGBs22gw zm&K2S&$@mT=hO-m=RTXBTc+QHUJa%9alUy$OuC8RJ(m0%yrX%Xl7;6V`!{+I)!moT zyzDuSdEq0Yp=Vp4g4=@wmm427mG%u?XdAeQ3rIAaRXa!i3+cPG42#A4nmjcFod5Y1 zdex=}{B5Tx;OYlws@nsD@qA)8Sx!ElMKE6VQ~xkCUa^dP)cBU*a`Wcj47VnSkbW5b zKUh9{qd(#tLg$pYJ%RSO`}5`)J*&Th>cpcb@i+Bjz)jo#|M&k~2E?OX*q5!j`B4|5 z%eV#j|KM@-+$`Judk1y)rR5}3SN!o!)T?&)zKyy$nfJc=uQ&Eh@t|Xt;dWuiT<8OQ zuwSz-i*PPzT_VnKdHXW;`(!7$ePk%=-1;u>duzi@I2UxrY+s|db0V>RWNJtF@f=rt z_prljA|5L-um2XeW8q)$53F;!?mYFI?K;?z>tlU7M*GE^1Uh%_mJT+0J*F$2yQ%bD zmqquVZMZu223%V)=!eazywGs*bSu^&537suT0N)1hmD#FF8&@t=U0!V*a!HYXW*9C z4#aOa+CAU+Sh1@S4=WW&=TUGC#IHN=#QL;d=FP=e54E>Hh~3<@p5w literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/19.npy b/MP_Data/pose1/12/19.npy new file mode 100644 index 0000000000000000000000000000000000000000..376ef6280ac1376b019d8b2b879c897462963e1a GIT binary patch literal 13424 zcmeI2_kWH_+r}qk^|~yAW$cnf%cGYl8PQ8@ur|625hc+{Lrh4p(R;L*D0v8p7JbR^ zC=ZK`-WgW(-pk_69B2N5_t*FJ%k{axb6m%qbIv*CzGFehu73XAU05g^?-4j~%z)7z z-rS>cPy>%@+#_hj=&_^w4evW*bl^bCTlEVWGcb#f8QgE=z^u=nHS5)@RjqP0K9T=# z|K($h@sTs{`eZ%DFqbR#>6|}vCq3(_c71zpKg&18GVRm!nRL-URpm{$Z9Bj67472L zNVLnhi_p$GZbZAfOzrxYqtsq2o!W;cQ~R;(_xIiW+xqhGIcRr^bfYq&-jCMVE zE4`m1fZBhdb`$sh4&s`6ncg2j@9RKn7sLJT!T;{u%l0XU9zK(v^)%bFl_G$F9f7^D|bUU~> z`NJj4#mSm9UwK`OZI|tP)BK#Aj;D@wduw${ZaZn)jptR2OZ?G_#+~*X@}#R2d5iad zxQ+K5-zG2Yd$RW7clIgPr6PYSBsbNKOAPww^>-l;PWM^w?fbm&4!qB<1yKK6w%~nP zR9>*{&XJ|)Pjr4n{pY`id0;z-;C&Ol6Yr^}D=}^{w-UX-Wm$%OU-!%Pz{bOZQ&G2~ zz;g7@XN^Yu>u!WjW@edlB)3!T}XF$&z9DZWk z<;Dy2xz7-^t4keFhcd|Tnr#>B3!#7hv6!oUU%v=mXZ_XmkTpM!P7v zXjgjHXFhT=+GYP?G|$U(-N1V#axbv$PJA!oQ%)gXmT(~v?@j6fu8xnqX7zGnulbg% z+{K7*JBRt!fvL-(?->9tA6A2p>{xJ(<@!K-a3`P#?MsLL3x8*ARdC_j2X&`DGWZM6 zWvCw+HICLpkNP8R|Kg{z(DU56F51s(s@qKKue?f-|GRn@ESLXjKF4x>;sxqR6uxxE za*^mOEqAJngx+`sAP?qoe)MZ95LZLz5ce4XA5(2O^;>i;@h0BC!)MoMaGB#0xRau% zS`i>?kC+$ryo9n`zw;y?|DVB~kfBSU-@FKQp{`itlw_^75^$frZ! zdX}3e5207{Ct@C1(1%ghM>YQmdbvLo+;OcJV!80!LHCHd^_=)P%jM0w@Mn!zqyF{xb0=7TzPLK(Mb62MI$=kj&bM4lXhi(t zYU17R&IT|2lzhB?1Lvs^sh(f_2VBH#1eeKS)2v?QDgYlg=|AK%ruz)b_2*3J&Cxrg z|GW1T=<`T$9-c~dcw2d!gmJ`YPgWV!?$^L*z#W&V;|LdJNog ztJTTsd4n>D$C(&O=f&Y16sJo%^z6Vk)Va=GCf4d@mEqvx${VWxM^z)ii~ognA@{hS z_px!XZ{J%iYJ~oQ8dhyqt$P#yVnWf@hFV_@Azs{+%$fsCwFx(n`-+Net(0r+l`S2wxST$m-8VJT)yVWr`q=20O(!!kiI|7 zul_s_`>?pXne@Y5pqDWjL#>{>yaG4*?ovIo;mhDNnAWv)KZkhqqa4wevukvo$^nNc z&Q^a=-OlpCc;)+T;7;=QG%pqF67SHD&V_(Nk?40{_I@((1jXaG7c)OLzSO&JNX=maFNv!PTu|)yt2k$R{I=^d;XT59ZZW(pPri-g0}uRF!bPtB%z^esjCsWBZs@?g(- zR&OE>Krbsy0(Z{mM*Z-tY|!1xJHx|2gPa%@~S$bN*>fz$3-jCnT&*PvhdILmbk`@e~77K`{hPlk{2m84&Dy1V6Si$Cet zmI4=*>Wr|QUE4-+P9F^)y@Sp#GvNd{?>HZM<2jctOSk>{-b9@k?MHcTSOfcp^7Vti z^PwTQRz=5Jf0?oZ+;j~D=l$rwAiPoQ+QHV!+4@Nw^!G%b~pP`F z(9hFW$iMo5&I|2we{p)2znnb^@r&pAso$+7CV}U=O8)8xw7? z!nU`y+?34;9~F=Qu5Uc9ZGD_pG+(BVKds+|eaFK8ES!Z7Tk2poQ z2Z-O4jKzF89lODw?^TqyCkwGISRez}i-&-7);Qk!$R2bLk!8nXA7D-5r`vw{-dOm{ za(AF-Km8JJ^*qIk;vW!)_?h~2*M1*W=K{dZ+d(w0-BY_-y?I1=<2O2!e$U21@OknW zc{9BkxSVs~cgt0+4)75xFJZn!o`-edQ?xAkC#8X_u_wBw+ju@bL7ts%JHh3}H$5z8 zOAmm{(bq|zdqGRf#l+QACj|?mU-7j=7wgaRL?RyXbsF^CtJS|PcaCl&{Ye_H==yd5 z^r?N3AC~VG=0)Flfc0(?XdjcuBe5>nJAdq}vh6vb{q-m1X>jlH%qo337Q>wP?YdLFah%b*vor|J$Z)Y#3!C!RS zNbwwV!Tu?8Qy%!$Q{a4W0L}#!dy?k8m=EP=e#jc@FLxH9@!oww_l>+8V{DwJV1Dxd z)4-?Q{* z^eZCIvokK=tE`4L491X&+7TOgn8 z$|lUa3h%KJ{&gw;YI`Ga9TAFsQq-?U`g(Nku)IT-SiN(X?qjAw0``Ar@K5tC*VSmB z5y3sFP8O66x19S;f)8K&2Jtx8>LZ_`f;-J`j@;0*qBC&cQ)#{!muXD*AH}!!^0EC+ z8%+5bH-gq_)gYSp4s<_pOf>x2k%={JziQ+ItP6fPn%3!y0Qj@jP2r=jcu?K$_KvW6 z<9CSGQPJh#^3I0(h(DO_nYw8Z;#48t@R3i~Q9Sc=;2hCD`Da+Y+*^qFg;2yJd-R&* zlf`)fhj?;M_{fxxqb(ONihw(vT2lSzINsZGXKW?JBYS^G^Bz+b=c(?Y!9{2g>5o1k z|MU-7kF5T5==G<%tE~?UEC+u+s|2|4y^Qab!X+J?&CG{+)c4mQe%*lf2VU$9#>FbW zS)Oiv_Wc39@XJN{-;zeZ14O=|_}BJ>UX|*tte)SSMExd*pgvjm$#lQ^;0dlf)(3Z9 z?~Q;y>N>{7-Zuc(`MXU3e@(wDs?^@Z@7AUKdj>4?z*1Ng~W_# zpR9OP`K8E@Y!iy{%6`X?A9HL1d_>el)W67ebClKdpgj~%1x4$kt9vKQW%jwxs!SuE z^tPStSLA7haVeJ$UQZ+U2ajXsHa5eIu=Uc^aS zckEn2@~O6DCHfVlS84QpO;-#7H*Nlczj@jldj3<_Syr#N)P%qM;zm4g`&E{U5c;0$ zjH?gsgnA$z@n}ALSU`K4mxql8+HvXDJHWZ$2yl6?dnfC|!jFUNq~9q&|Ma4LV=euD z$dA+pXJHM8SRej$Eapo-C=PB$g$7x!Hib|gy!KN57q?kv{Z*^jOtg2QziWw`VKeP# zoivs7U2-6P~q6OFu?Ei~VP2!~fPv_^UzL_pVN7##!!sq`!-aK_4#Q zbC*KH?Nc211ifipfYyb_FSw`43H{;E(irgwnxP09=)^b+(G4ami?|l6Zbtpe|fRF0Q zun&utKFEW~NA=@O+J|-Lto2WX|1!E?@z0#rV}m}cEf)nd;A4u;#5{`ot)}_de&dd# zUwLLa)oqDmL#&?9dJ6808wMYF!WH*bwt?c5E^gFso72dH>T-_8yX7GA>D2JT{Oa}e zcM3kUH}Sk(72=%m8}xd6RjRA`d;43?yjBu_*c6x6paq4&T=Yktngt(Tow_9^_L z5vM+Rne;yIW8hPa>X~g2s0UH+0QOrQ8bbcTfylo|`#aqFNY4(aAJcmS&Ex)oTj3x6 zC*^1SX&Ud5<23KZ*HL~p(f%f8_|V^jD%OENKQ;ya>^nBb`k0wzz-8Mgs)uJe2UxBH z(!kY=Q&{gRGbqY(cI_GY57~x(`Or0}E64RCI1`;QUbgGig!C-AsLsge;&J%sk}lDf zv+~*fp1OO+`pW;dq5HruC!rTz9#KAb?3!=e)#*Iox?2ly9(`(n^--T6k^kqq)bEiZ z(93^+N9*p>X7np_mBGBoF-eHi6l*|r?%fUbV_IGW*9pFqhs$~z{4;1jQTw}q>)Ma8 zUUY$U=+%km$b<3xjC;G8>4A9Io*3wz_#D9)-?)&!&VSoLKJAu|v)t+8LixOZ8eF-ig@d0j z2(G7m1!tMP##nA@d4W66exrTTHwpe?f`fWccO>nr2fj=5$8sYG^EBoO^z1RM z3zk8Dk9J(*xYdiN0qED*=QxH#GI(I~!9%rpiuC7Y! zW#V{>-!&NP#pyH^>(}H81eg62u`YO}wymuXo9#*cZVAEsnqmpw@JpP9e$CxnSYJGC zPn^}ugLA>1u#WJT?rxJUH_;2hRrCR@Yo|vuSU*^xTdLFrk;wLOjAmA^+tc62MQ}LsAb1VjGu51Ch*SIb zqI2qfg#@dYDG$)ET3?3p@N~uk@YeKqeD%H%>P?3ZT9uxqXPKuco-tHctY&(s<$6^o z^7o?Oo%HbJZSbkS9D4cu1mbaaU&ei2y?IOgLm=|0+P)eL|ERSTPd)lOBYSrbc{5(r zugrg$;$O9Hq1E%NebKM*&Vx8*dX4S2UoKK9KPBH`T#`f5i`VE2f>qJhJznz{Niw!JTsXlB|zD6pVh={bA&@bL&R*n^6?x+&DZ*!pmt<)Ug^8gGdf2Jg4cAB|_D5r|*#>KK7vcjD%tU(>Mu zK+9Qv59+sOCdO;dxF%X3xw9+$<(FsREOi3vOyHqO9J0t_UtF?x%e$ zG0?+uUCx*McPq@7JXls)t~R}-cm}6a{JU@C9`5vyf{*Ur1YC?*6_0p!?FMJT*Kl5F z_r>sGfwX_>oJFZ_`zA+Py;J-G<)P7c;QERC1j|hoI(Jm`HyUpNnqQHUkMi8@G4ky6 zf3nQ#*`)LEQLiGP*RDIl5l?&S*BtaEpZ2rHL0>led&j40;7;Wh5#UY_%G=V0;JnOP zX}L2g44gmiLHfGSV&UJRDaF&c1>#}3;x=1uo{xfF=KBkJnGubB%&egOTwh{1cbxO5 zWO|lfRG|8IL>ltXiYMZ}!Ozlu#iu@^b^5L_&IPCQA@Yx{f;`K3Z{%N>pHBSK72-D! z;QNJ~LF-X@(ErO~cOJF1aSB!$@yjoCK1%05n=I$+_aL7<`Y`38@omhDs2B(Clpaj` z(yBd(M|SZ+zoL39)x(1IwBHsU0)N%^0>-79l*KyIp4s0cLg^f5y-rWGc`&Kx;IE6* zIWCtrkG5QYxe0E9^J1Nq+00zAoM)yqZeHom`deZlTJ-HDl8ykuG zSMCV`@b8g*?|Kjn&ZqHTEtiuj(YTU25x?86ljS^$)*XvGgL#w#UU%@x;_RC%#;d<( z|87vqpU#DSQ564_m1_e)3SdL3{RrED*d^i^)ZI#UDQhfXG;o(S}yNqk895$ z#G|)V>0skwb$&p|8=M*e%SX! zQOc+K=^E<6B;V*_^+tAq-uV~Jm*W*Q*2d$EUrauM>!8&i}c<_ae6hvzAZN0gx(f?CoPsgIJ*fhFlicUMAm(G(>)`y*4N8?Jl3C?cD;(Rg5Cy2k= zP4&O%uZ32x9t0vkW?BgvZ^D;k_#|b|*Mvp1zIL9*??SQyol~OSIdGOYPb~D_-sHbF z6I}Df<1KggzDFL^m$Ss%g`*Cc>k)9Le=7OB^r8Hx(DxVFbt>ueZX0ZUczgijRGy_M z&c-isZ;_X2A9ECaA7{aHW~687#gzrrZ{j=XRWF14k10>zL%EE{yg1EHVqRF485Ga( z$24CodMb4uM9 zi}^LRkH%R&eZS3 zE9ynPo*#?4dgG3I)dQaXZR^Haok9EC_nB13%b(vtJ=IBBYW2o91N*6}Q3YJj-=pA@ zFB$95IrJ~me_J-na&_x8tGM0z7yfA}t;cfoeNsFa0j|Tp zUu}K#7W#iDs&g3px&M$!==Zu8)`_fG=C+TG@AU@6FNddrv+tMC`E@mE8GH(dA|Bqo zH@Im$8S%5q?P*;F6-FNPOo@F)&p(cRRtFgPvkdno)<<2Z-?hcQuHcUQTI?IT{6+Z4 z^bh3!!)ojgY|&eMT(RP6o;V084iQe45zrm zkOm6Hb;uVfJk96yFL-`^p8j&b?sv}h$;rvdNpjtd_U+`;wrd(TmQ5(r&wq5^QDy4z zGWGh`D&xh=^dCMdU{vqldkr7e&)@N1dk-D$pTb8E>^;Ii<$KvGHEUM&D(A%~@&DVu z%#1O+GVpp+n>|Lm7@qq4;a!Q)E%p`qs`+BH^Jr@4kE^2HZZA#G zPg;m}tEpYKK6KwbZx41ryYXE@`kPYwKiW0PwVSA#7@zI=@5Q*3?`kl$tH#;!Jg?CL z?PhboGp^mNqjs^e?nCHTKXS``vUc9qweypy`t>8pzpvSDyLP!`e1dD&C#YSX`S8SX z`%5>9bLY^*uAN={hWJX8c-OV7tM-?ql_xD>3SeuUrpYSx?J_uAmQT0h~f zYqyh*;yLD(;k9eG(=L60-RAFzj}48x=f2A(F?ilq^S1b2`To1O6fP#u!}BKW8vIaA z_TYIP^#SqMxsx$o^JYHcs(<^F;!v>@p66><;CbOu5zpK4#=PxulhtU z#GSuch5p5hlknf9KCiwdJ$8PnZ3o}EPt&l=YWFj481eT=RME zQ{U}@=Vj0EWcOX9eYh+x`cFEUR-}B@ ze$5gbSM7$sZQwq0XGR>^=ksYr%6B&PFB;F1FccHYvD#yMqEl54jg z)6hIDYln9Bej?&1A7{Se+D(g2kKl)2GTH?zwgCPmzJBG}d7WCwfAOk#dXe&7?%cXJ zF6GlcihJ(b_2B84C-x>5ezA1H(XL(H3nIQf>|f|b&R^-cUN#2Y&Zvxe6|Y7{InI|< zAznTj>rC&xyBIok$X-l&j6C9}cdvrZzCp0(>+@57jqMJ79?^n$rjpmaQ*_1c+Y!*e zdjR8Ls~dvL5p_noc9yj+>{Zjts4qNyjxcAh9@hXji_(LekBetHE=3;F4_kfFJue#1 z9pgAZ5eCizvfpu>cV3QhDbG}1tT{N_`5XK(=ckeW|9XJinn!0k9kFaCxY!X6uFI^4 zKm6Ss;=RujuX_Ui@N|*H_j_Po?bt!#PDl2P0=NF7iJxja8@xmWI1A5+Jd^L*1v_qj z7@w+h3-iU}uB>pJUuz03LleQpo^}hM^XneumGb6@j~v}adprL>cSW5rK3frIb=uZ- z_WDC9a6ab*#XllfE63TTH<%X{c7f*Wd?Tz28M}_=%YO#A`Tk*)(>IBs(6JpSg0t3j zTZ3Q90xn)OyXL;zS02AReZH_U*?(_HyzYE|$F<)L=UF ztm(M;9tbY;XGVU?EGs5?r*QN4Dd@Ai#c7>~E{DF_ww83_i@;Btj|Dn=`E)1ZW~#g( zUeI@?<2t@F*^l1~t}1q!>A3o*1N7B(f0~#3b0@{6aF(+<=Ed}h!@4sy$45J^`gR0Y zueu{oM9rGWH(NX-&Exu9;A+Nx%EQukps(8w1~;WfA>Z`AlCZbkCWEsa#pXc2^*0)? z=StE^Gis{iV$?$7jVRyvApfC`+hAYl=)`F9f6r{H1Em^~{*PaWIJ0ROctB!}o2WINaGp@qfH_qT~9@32@nH5%le}TJyk@V#%LUzk=%@yrSSw^NrBg z^Jam||5-XPARVM1Tn zpUjMYxqM3V_40okoIaoU7WQh@LmJoT?=-(nImTsTen7qD6YE7f9ae_o$tpdA4*%M8 zAb7!}(9!QN(fr={IMQ*choWEhyc_%%h5q(;T+KcXdvpCh`c;cU(637JA^$T4(0D&4 zPjmJ>(wqG3^7@Lm(=C#Kd^0C+LEjc_aLIAiwYs0PH`}U!tBy-yZ=TPei1s6Spd%iK zAkNlfRIszRiC(am&EBJ5yRhFFXK(Ml!Mv!&;pES`+ELJ%NBPNF5sGuyt;iEqp&;U> zO8SB8mv84feRlID`Cm7T;`4d$49C?rM)_0k8{)t+G$4DgzhTchB*NZwYe99X4CR9! z`hs*i7lZ%o80E7KJ4*ffUmk^i+vbG6{&@}QAFPM{Q5VlZyn7Vv`O^}AID7lZ6P(=+ z1{Z@jPIp|N>I^RRFmSsf9{Y}+-wIrnE`ohQjP0zPy=>9}+_Ve9KBBMGLmiM)I)Uqr zCBaSiWb8X^vLD&syh8qLuZ4X_9j1Q8>E+~4o4ZtJa#7qwjRV9-uA=od`4h#hz(sI% zIyn^M>iUX!R5ICrd4{|aS(Av*ssVr0ox8AS?N@@^ZaYvXMe$>(SGwsA~Ds3 zXL`?yboSck7VOOwLF@6zV))O}(R}gwWx>VaDA?QGfv^`o1*uLBi$a~Tb!b1eUsr*f zWgkW(KD&35{o_a)SMzU(zd6yC*3p}fSYQ0VsmhJlrkx9J{gbec*syhNoesMmPkh1` ztUKO#u>wDvT5p#eK%7~YL4l5oF9*=C-1mvrb+b~)6MJbsjrZS9v`!CIL;OwRP~zqq z&QWaKhH*|uPd-9^PL8Gh(a)=|x6^-GkNDac)PHq;mfkVKan+L6om^KNI;Ki1ajR3#h%YgMxOBd6n}d)B*N*K zH>vgT4MY6xlk1}#=eZA}Uvab?&DR6p8cv68r};9uU!Y&^bw@gGr~Zz9#exWM*0M6{ zyq&Nb+onv)FK~I0!MUlN~o@K9l}Hia+b` z5e@x}@8OT>?oaW|+p@jmY;Xza*e3&tKS=KZ`ykri+3sBMUq#d$@AQRlIU3hUgZjfq z?m?cj@1@|UnQ#R881YO+k#EW?FLBRKG~Rg?=R148hR&0$oHy!# z{N+9EQ;`dx&yF7@`)&S%VPD3V{QuMm{;N+VgyXXRSa7zYI=JXCrziY*N^#TIi;{hp zp+g;KG1)LK7H}5xBL909=D7Bx`Xd{!2Nyei+CnF&KI!kD2Cn`HY8sbfZ%*a_R~x4j z4@*LwRC(@0Uk~04Zur*X&R%aj2F};qA^r7NyQ1IY3o(!CM0c`(nBz~!S)D7eH}h${ z>}m7<;68LOGY7X}Ui63(*cVvgbMQy5tb=vIbvWH0m%JgK5Rbev9m1lWKWYZ;N8Ilg zbZnK)&`~wKDgG-)!yg@Ye!8<4B0G)u#AjMBUb`u7nfikB#dT@kXZ$_U`Kd~jhK?>B z1FlLh9f^LA(Rto}E(IO?X3H99&nwS?j`d5e&)2>D9T#uteqoMwN8JUky299$2dSdGNQ|=`0WrCrTJqd9(pYkIFa%=$RF|H z8?E2K5bQ^C_&d_sP5Y@>nr%A9wc{kXezS_^y;9$Oc%QR#4e@FR!R7C7x_i60-An|x zRacQee-)bGbi|4f^eZ1mfQ!L=wzKESpJC58FN6+{tO5VkrTgG4NK?K2bINF^BLjLO zZsOKZn)kzlmpZO@(7full7s`5$30ziLR7hvVX} zso-jIRm7j=%}eugX%V=|+X6bO(Jy_Ry=j|)>>A5m&xA@`LA~?_%Ax9-s93AM;uI|L4L{wrJ>K_8&UjY8;|vN z{=cBQDw~%D=QuyEQ>Rh$wn5p}wBG;p})t@}GUD`XEL|puWkl zeM{n8dqY}Za@TQib$s_c$L$~VzE1cT0q4a^YSrr zo`iTiKPS-pG?PH*E_J2iD#zuCrDT8kSHwYI+%eK|k@Y6H?lcfw)#upvRm0-&pRaEV z&icG<;`&t!`+98LmIk-IpTkd8uqf7x4cml!hq+7ldeQa%Ob= zE8)LsaFqOy&X0K7m?}xG-HgwL`Z-e{J{?0`@`RKhjTb5-4bSgCgmlx{8PZ2(M zvg5X30P((_;5_M%Q1JF!!S&Qrl+P^>ML2F=CXqkiO2eM*uRPvy=GOxDd{XLr^)|D{ zI4=MEiFB$yyb9g&7Wpj42Z5WScffgp63Vsfor}pnAq~ahOUr4Fi)OdM<i4S$IBQUQ9CSW^CHplQFT3yRU7l6$lMP!2|5@Qp zG_D(KLgE}R^axyb&rf;2aTs(&Y%p|Ee%C`h?c7IWpcmBzdBS@x$9##ftlJ&uEgwKf z^htg1eYzvgjcVs1;(uO1eB|-Mh>whH27Okk1gz9E0G`;@QmgRA*x5l@+rWxnI;PzmA*KZEP0&k8%vHZsIVW%!x;9hw#E zloc;T>+8${@;{{LO6X*dLwtDSH;AV#btxjw_50TgaJ%*!@yIYL z&fey}0ehBv7vf+`ZNmEE_38I|-I3zVp9_E2uWsl`{zvtPj@~VMIUV!1EVwYW!NrCd z9i6>Oa~}HYT0iLX(}l5**d_14^_MEJSKmh=&b-i7;^*rUUq3d4^tX|pu`R)6=Hb&F zS8Yh&ynIRLsH9Hg9oL;t!=7jJ1J`ke>PGx=a9Q*#bnNR9$TxG0;%P5#CH?8+5I62a zb&0o}0M17GqMq=$@6a)WyMU_^m1tl4Jrm*};|7v`yR(7LA2~iRxc)%DSDJ%`COR$# z6(jq(ab*8v`f>2zCw1Sc>w$UHUDl6s+_w51`5q0MBjrzu~4sGQ0)YR1a^WP_MmTe}zuc(}r#(S;=52DS*~C9H6P83 zPdGTQv0-@*DM}SW{Ztubq~rWpEcz9@KSM`;qxxenJSG2s zOiS@^qv<>|zz6-BQ}jEj9zFo~1$E#v^v$jx5P!X)VwBUjZ)3sjmUiIgz?G@+=ge>5 ze6}ymm*<@z$Mqu0E0*K|F2q2px3}()pTYOxr|Z8h2l%O9 zHlVy+x@)J^=%c;8K#;R~J|Y|9N8Cd9dF*6yp--7}k-A_=tY(pi?wo>*Aqfcg>#SbW8y{|HuZdpkudk zx|j9K0v%PT0`k@_?ndz`nvv$Wq6Jq43aoWHtkMKzc#zv}vr zz2ltzj@sl;!_@bO1=nMrVmF5(p61#~isuPF&FS;&4Z%e`y>BMXu2b7r!+&$H$poj*iq9gQpt9g{K(`pj&BvqQyy1SF zd(E5zD;&4O^MmV5k7>Ssik|Ga==6&6C)+J>5j;$R7rh29eXoG)0<&m-KNdk8q}L_H zSzn1>3jM<`VXupKg1u^-H`sACi24;piI zW{dNToHPeq+^kFf6nirR{nl;=f7s3%@JD?w_Lt)u+XQ<#wkGPB+L{`NyGN1F zwrtUmxD<0@lR*vcw>%IZ@tlS{l7uKDJK1)c4I9reLG3fX9d~j1@ z3%E`jGRJZCfzHDs|L>SDy|#B3r!V|!z<)i2e*e`Eo>899xI*#lxCH)-jBhY6vd>y@ z(W?^b18;g2_Xv^S2mOjML!qyJzC6?QD_)F)zIbqi^1Ssc+-uZ_1n8(!{L;vU**F>Ywh`@v?BQZ?c5vlL zXD>b$hMzo7eaioOS$aEe{Jg+bAv#yH9`QY(-=hwVt3h7a3;VRIU4C=)bnTl z5Xzrrb&$7WaSrrr=a+{+W@Q5A(atZ0e%1BC@JDU%SOT5+i4-3XMe~@UZlLSe+@W)( z?otkUB4!nC0)GxpfxT+{km`A%!l=Wl=mm;@F}erI!87rDt{$FxzbF++I$c)doT=_c zz)zj@5q>iL6V{^$rE{++y$+rUyXsiT-Xcu zN8XXnKk}nD)`jsnQ_b14tN+4YWEn|(MI`E;jrl@xI70s)rC%Q!?fMn}JO>w5hS7d8 zHV5)Y96ksgRpK}JBlNe~(4P=Wd`v!!*R&jfx}^Pgfa_uvFkU@kJ@GHCF)w`U68IyY zq(j}-YhIGheoxr*qc+0n>)?T8AC?>QsEg*p`x6_q2==CPPMY7BgApIS?I`@`$HQsA zZqx$jJz4QCxV_&DapNajFLdM8H$Q=^&_R@+ThF4-m?80`Q|l4pAbgfAbM_{T^liD+ z_l+?bdpkd67rMtWuMMbsvT*(`j+{@~$J@Sl~5ggvX0FUWD;oZ@UH z{r{3|m1Uaa>|g@y#rDOtE}B$~aaT0yC&QnBoZ#}&pWy6|zJciXDaDfqg@EgGlSex)#~q}& zt?LYK)6^dUoiY94r}W4PKW+DKI~}(b>HN=+(|ugE&w=}qE=cz;S?B=l)v*j%cP8W? z=!-I4F<bUl$y1|x?1eg5dV#npf)Vg}{B)H1leLC#B zXwsP&3(j-Cqj}G^i27|p_Y~HrAftJ;ZEoO|NTE2fe(YI9&M%H zuk^UGLGJfKbzY;MsthykyZo>@5BVXl)J)Vz@#GuMAv$nF8`mz=+$EkZ2zA@m-&DbI zF_8Yhjg_SL725MiBd24wG=V+KIR*B7P6oQCoTm4iy!jH;ZFxIynA73u=>NdXq%C;P zR!$xQ{iB-pvu5#B|5x@J;Ph3q>g4~LLul6>+v2>W#aD1!?=C+1Y)?A(wq6Hab-@Gc zRNtH^oxU-?w7(9Z|5s=2JqJ5|^GiBf|JfHo-)4`Yy40f$xG1;<`m#bb>FimN6Qq0R zM||>1r6xNrd-%i72K|M)WJ;Dn-4L6pKf6B}`h0KWan7F4nglz!U^@JjT>^1V;{hkB duI0-FJ$8BaH0al*-Eb^naG{{s}t1^NI0 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/20.npy b/MP_Data/pose1/12/20.npy new file mode 100644 index 0000000000000000000000000000000000000000..04322da8bcfefb57566782d32603353e3a8868de GIT binary patch literal 13424 zcmeI2_kYb-{KrpFsokngIkX~1?b_rhHBuusB^;52+93%c;fN$=l~^UjAy#a$XAWwl z_TF{u*xHnq8sD7PJAc9V*Y7vK+{fp6UiWq0=Y8I1+?zYQU6;0gJv>-A8(SeTXk@<; z6&mmgje_e{sKP4*4;v9WqVLc?!$t%KIo_i0;E_R@eB^+>!-F!Py=&B|Q?p9NDm;q+ zZ~t;L#?1BU_k1#6#gRf+@%q)OyQ!Jaa@WTfcpg*ezI&BhW?XWwyk++Qq3*w5xN}F4z8X7rrAFq1|M!k9Jd)`e$+g+I7M{ zY7ec0cH5cSO^1K(xc949cgg=oU9|H7)GotYKY+i-{44I2H9m1JHS@(Br2fU?@_4`8 z{tWGMO{LSWU1z=D)US^CO?_kQ_JM~n8E3t6WWF;0 zHZ-rl&q4pJ_ejLglXv3%a>RD%MD~||JH07Zcq#h#{dt;umWSt9_+0Qre(b?3%b>d& zIorLew5Ig_7isUIzr8&^HIv&)zLniG3!8!W>ml#ZZj!gGgKlHpuiUHc{1kb$8y{p7 zna?a?CG1Sdd``VO=Ldnh2yTd_lXf6*0q~}g6Ln33(4-X zv1=C<(kcGQBhhaB^Po<3-@#X1J1bla{qvL(IfQ#&`ZmSAUoC2vf%b{_;Abj+k9Ko7 zVppnb|GEja_a2PA+ID$S-?qRbj9&-!r1>6x67jMg7m-)py9c1}N^O-%VZZ?;KzYJf9 zb!?tcJ*&BLnCqYQDM9*2*)F+f{!hQ@@c+IL@m94iLYF%07svI_&ryf!_PMi;iNPm6EB>40Q z12+k!Xg`Pwo8q`WI2v5d83JxsJ)7pZI6Q{<>4V_xpPL>QTRpa6UG%EcM$mjOI7b_d^_41-51Bmx9}g{sSGC>t})6&#!@-+k+85 z+tMA}Jn%uBJSi~B^~)=7A^$^7vChPrVP4LMWlV%#Ztg(wkBSU;dNG*tX1bN4eJOGF zQpeTu0@UxOCp4~~+fQ{|7X6m|HzuL}`Pq4q&R=};BYEQ`LRZnnsA`x{cwjTgzRX3Af7McVfo}2t*(!j09o2ibo9d}6|nNB|G&!ZjJ zXQRO7$}On3%<26R{kEwFAHMK1#qWO@>(uaa#H$H#d*a11_?)VRJn#*Jk$*kvtgquD zcn18<*Y}V&8P|NA<2-#8xE_2BKKexcIgZ=ii^2JzIO_LpJ>-X#pALWB=NP!^7}Np% zzAcV;OqnsXpA`KRaVn4f(2EIMsLrpAkA;8m5O8_*HMoq=GuCm@{v_6g{?hA$Pv*1P z?uTKpP2JcRWqawik7T?AYn z+8GRe{+1Z8y*iun(0~ndT$iK#s|4B~_&tC0tM+-rhXt>JUOjw*{YQ)|4sL2x05^H7 z{_K40{VnikA))7dGM~lIi?B{*mAv3O{5`=^aU`?9CthV4G@o~@7XMCYTy*S(%2PL@V_ z)^pAfPi`6K^z7tq8rQ%kl;^Vfu)g^7L~s@FMR^W8Bb{Eh-A>%U7Ug+RH1=WfY#q4F z?+MQCEgj(WV(UwA?R}5x+<(YI@ULiHtF>1UkLorX9xUU1J{f{KQ#| z%Z8u8yr``eu`Xn>s^{G}`S=?V?p40&56%vkruFr*Ly+@f-ItU8HQj%>cO>%0CvSki zF7yF;;GeA@4*lWz;I`8@w7$ml#Xi7G4hI*xrlVi`$qCd0yZk-Hxgs~M_bzoXU$S}< z`W0>e!Z|4PLFwYut4dKkD^Ak6**jmX;cF41xP=fZ2Y;ECh;~RjR^rIu4 zzv#Az_~Jm~`R`YT&xEY`dR(6P?cseL*HKyf{AWiIk2(4s@-OJ8qverTRR`QE#?ULG9vU zqZYxRt%;%W2E3y6(l!+Srd1xqqXJLibBr#XwO^&>0=Ms16Zj&CvN7Xn;@kb0vgimZD`eoNfV}Ij^eCIm7@TJcMtVcoI-|Rp0agR0mHc-F0 zt{{H#aYYjR{aTUFh)q=g3#Tn|-0WQsy=-`%&hfHd#J8_TJo2|$@K-J4QHSdA_sGAT z)QI+h3HRo?IOPmlFDx}L^?S48c<@eFDgSeeAkQL)?`*^)E+8JAya0J%CHk~*oO@@d zJakB48$X!`NTUP6;0=e82AYBi;K<1fw!|0{Zz? z$;WFl;#Ug;il(~wS9Ak6_ zonBWR3Lp9B7Z|VnbG5(YCL5jmEQP+0vmIN-J0G=c65?bv*TJ7<|F)0g+Bb#bseKxp zU)xRR!tktnc-y8JubMC{$@z=(`6&cGPw3C!a(qHKe5UCNn{evcj` z{-Gck&EpT@f}1nW-KYlHccjV4e$ zK5^vl`REJRue|vX^JTV9gkJY-O#bs4LvJ=#qIoQ9Q71Oz0Q4eaF}OV(UBmh4+qABA zt^tTs?M%YGRBl}kADJ&Zog)#SPlLW&e)10w_ln~3{U++u! zvpdDX*~^uKU7Y;-K5+g`Zpd9XTPS2X}fnHAcL_XQ3Epr@K z^)tX#a$n>@o$jrnFF2lfgMp||5#1m6D^-?0x2n>0sQ%wK#XPEW*D)^Ms6IF=`61Hz z=uo;psEfV9?U37;M}Bi4)q@c1-&WnN&5DCT06atSqRS3(h#S4p4ifHz9t57stVyWFJFXjbp5jGG+**{ zP2^vE)(Gc|h)9Qzd{O~=d8j9?(-coyUjZj*Ubgq5c}bvkXS3ypkNPlYG2(xh6MDPq zKJ+}C_6L3VB*mH0hx8eK_?*t;szWb|l%RNewqD|VR8879Yct$IX zmv`|GbmQVNTfxm=gDDUFj&*cCcH}V{*VIYiGM~YIqAt_-hq7pGaNR%80OzA~gwcGh zElm0gErJ|ZT?Qde?y(E`XJ>mXbpGOQ^nKUPlGmetOwLNv;j@bFOLBBJ#Lr*)Vn3Aa zN0g)G%Fb4^db-CL9{Omy{@+>8h+7-p*JZlDE_&R;^CiEADngg8~Ym@ zGy&_ytd9rR731K;_x^};iq~pSdHeYoxOtG64F5K7p%-)MK5u**E_B>3@c~!S@2LJK z&up3M#>GLiI{l0rlJ|m*QZJB&HzYK2+AJ&$>R}rB{=npw@UsZXZfQv)L!0pw`w4diWM{zba$fu}Wb|U--)Bh>tqh8=@T~Cd8KI;s< zx!_H8;?*+Hadl-O`E+UoE}BH6-uT*k#LJaD?|ga7joQ7k^5YQ?t8fu|x#_!D=cB)% zdKOMS1>koW?tJ zIr=qGw7(he@9;e#+gKa^>UJE>f{Q0(9XVKrp z8pwm{@H_R}{Q>f+$An|uv7nsb`kfEBsXH^s`RD?V$R{6tk7Vzho#p(DXAb0zKU|A` z)rZ$h99KJ6ARf85F~-ZIYRz;$=D|g9JG3RZs@ZQ6_=dOOY+pBUGus2}#ZKQ(`q-Dq zgLwOaJ|A&!ivQIl(x?05^SHTCl=y*F9}O`^t(4x9kM;7pHv(Bm^z#r z_d1rgjd;^#xL@%TwUGxsXcIW=OZPMr?~U==3#-AE`VankLfbgRS!yZyyg33clIqfa z@|yM&#TJ9}ne~Swew#u11?!2km54_U_dtG3;q&0^<;GD?uU_T@XJfJqQmGh5X2ueNYePcof#V@n>6oTs~WVM87ikEclzbhwCAp>A9)jzvolGO+WfM z&iyE#{9P|PA8jhumrcG!@joa@yle#WZ}eht+al{eu;DrMavAk2Cer_-ZG}r-&fiY% zihjlXtozLEO@S^>ae?xq5__Q@Y+Db?XP(&<=Vx8cIi0+0ss6u?0M{PIZ>{i zuj)(s8i^O&vq{>E`x_rkb!+wxLq5%a8O`C>aT?-RDcP{D+4KU~XXH;az)fXe@?Q}d zoto)qOUHw=)4OP0&+)~)i02ci->F_WPxYOI$%v;-Hrn5ouc7(#kF8xD zoLB8I+HsY-2R9y(T~6Q}5k;HRxKi4_W(3|l~esWx&ItVT&7a-oFqmScad)Dt6{tTn>76`^YQ-lh{DR$8B5cG{giSW7q zfZ`ch40*64yU%u9eo6nwXU}Q>x6gu>q-Jt^`2_Vlmg^PAzL?=4P2 zJo6Wje$6q&BYX~{{@Ku1;L0Zm`7{ll4siag*)odfw|Mx-{Ckl%;hWX(jLTSeI%PdR zH(5Vgk0R+4tQXm)+7{QZ8oCbtJX;2h>(s;Xj+<;*=i120@ZrzUr{y}<@xqQCI z^mF8s77o3fQ**TAyeaj|_xVuXQvVG_zppDIPWxpga5aA|^rCckaCwwIciYWMIX$Z$ zM&o+WjpBK}I2Qf3XiW3c+6VE-8Ur^vt|Nw#zAk<5WOFy6eXIflw?5f%?wG=>RBEPP zhEn~DPFrccge{-xIR7jO<5Kb&>csTPhI2t}JpdmSSP6L+C59mXJZTd7=b`+wr!VpO zLIluy)c2=hzVxrx+q*c0^rn2Se2;oyHO{PaT&3)Aui*LK zO**Ga(dQB77YlzjJO}#a^#{P8pFD?g>2f8pj#v)5m$IrGsNb4zB2!&Faa0fX(mCQ+ zFCjndDBWk|C;72XW#Eoz=-Z`JoY{NP`h7DCdQ*?~RU3C5T#23io!%Cw&owIlII90) zUY#6Q33TsL{==x>++*9re+R7>_OUa#{PAymFTv|}L7sK`dCa5D<=xRI(?>tZj`7MX zc`;x5O)uY4s2`rcCgN8o z1EJ@|%3yx=jqm3=y=b|O;`iuG`|8)8_&ty4dzQG@Ir!+++Xp$l8K~gTnpQ&o#p$!y z_jJ_P#GhP8J*Wn;$Um<``Qbnh@;9Wq8&)T@{Kv^YDuG z9oPNncf4xvBFg`Q7wA{qc!W6RcKUskezgbtsw_wKW|}2oTr#m1{?8~EtVh4L!(_xG zkCs3^%i^>TsL3rUZ|M!=T)+HJ4ZWD+k9jd(t705yx*^R=%r=Uree_W*Wj4C&*Wft&7fIQso58RIg)9m0IshHqn1GrJXa57Br% zV~{s7;^wc8%cT}v&sYx5Mpl{Sxav#yD0R0yxW3pS(Q*BhzE9xYDx!Y$;$}WRncRlc z=Qun1H1<8cH|<-eH<67Ir}}&oxO$Zf-`m^bbk7tkQou#unjy}IM<5q5o=3-HeaV({@V$_19!WltXK39G zyoh<>-Rgnci+8}aY(Cccum`kH%F?9Q8>->FkgX`6dc#`iRkhheo!-7*LV4aY5nNn< z-`{bbvm4^%g9;%|(;^-B7At8VWBfGoEQ97uOU=~Fd2}CEGhRV2EF6MHKGoK>ZJ1>5jG!pHfyi6;Gt`jqFiYP}qn-t@ark&Au@ zD}U>W@71-9rFk(Sm|wdwWGeKh7lDgvt!ckHR(P7@|Nr-YGXrK^4%(MDSA6K|z&2*_ z?)Tt!Sy9xhDfoic@!juG&-(m3aPe0V)nkP`@u^PlvkrA^!~E_#ALI9w_QU^PfV1C5 z-2pG`si6qT)U zlmJ&<0+u=-R!q}=y0|&=z&XP{W8W4A=LgDBzxn3T=Z@b6I9oWL@-Va%`S038J|*e@ zX0~ocjLR%Ne8G*M&!zj3sa*^EmC9QV+=^!CR}UW#ACb2hxMs_!-_Tvyugtdr#BY58 KE*s=toccefJLxk3 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/21.npy b/MP_Data/pose1/12/21.npy new file mode 100644 index 0000000000000000000000000000000000000000..b2182ecd63e0a3bcde1d58e85f485a2df4a35387 GIT binary patch literal 13424 zcmeI2`G1Z_)W(OP*4V4|=@JyRSFOpY5=AtY+Lwt&VqX(tpM)eti=ft!JC@q_y_QUA zk*YN)wT*qJG-$1F&UO3+@2~HhU!KqNo$J2l%$YND&wb~a+3MS%;7(b@a51`kXs==4 z4J}_!mTwSNr+j5uK5Wp?h@l|^dkh*H+KYJ8kp9DZW%6OYLk9QC{9d7Y?bI+z+xy%urXAq+Y)AR}Yg4)XJh$6$cMbj(llb~mo!P%8_b=}BLAzIa z587qjj%e2%x!olEdzG%&)vvMttWNCThuiHgbrbFLXP>1{`_n%sQ!_u^G49`M<%jF- zqVxCdF5X@5+E+vTZgA`cx?X)1;i%orV1HdQiQ}u4<09IBD~NVC|6TmsPTc_? z+yZ&F6I=XB*Lyv$G|j9>kEndfDC{y&N9pSIn?=iDb5@IUWx zojY6nZ(NuAz%%+ZA8t8K?NanXyk^PG)5Kl+C+wHE({pNfk9TmtB?LZ2#qGG>KCF3; z+V#P#=+BF|cZRO_s^^5C+T9Y@%XzzSo%U~zaqA0}-t`}Uimvy@h1|w7UM89KA*?+nu0vnx}mU4;!v!1Z}j9DV8+`8Yp`gO|{Ex!TM?`>rOq zUavp=8sBqonvqKS$x|xQceQs0uD4mUyrJ*nvsTOLQ`d?6h(7J}`xvK7yOmWDk9iBd zIG6LOKehjG58u5?8EBUyhVXoze0h=DMXkcz|L~zcD)Xz#cIFEDsrLFdwaY_yIR5Ym zwA+-Me^I-;zxq$KM}NS1PA`#-uD5p*wo$wBZ~KJWb-wHDm#qo6r-bZHrS@9+(e4KK zM_%=W+^BE4Ir~g%moZ(y<@bM}KNEZbd3BRJF|R%3JoRJu^g+Jdwu0d5@(HXnxBTY? z@cE)WxLZ^SKEl7q65=AEIk?%~5&2Nj$KkI_R|NOI?2LJr=ku_CmHAl5qGcqwO;&@c zf3HIc_L(5gAfCUcoWJok84Hst4|ET@Ee+j!q?R0`9>_xX$3V%n{U~ zckdU@&&CbldPb9Y=v(H7k6U^OT;8uX1w7kz=xxc{?2}P$0&!J#9JqPC8TF>3a(9Kk zTUGd|V`n)2RO+xASUp-d6NS{#ENdU%{v4RE{(88t4CY!Ewa( zU(3Pe-{;^X@;01B+*`U3TtABim*Mr0ALaKw{8g(%tPf8PCcS%69Pwzsk=RdcVlIwz z=^mb!m77rKZcCY1(yNjKz`c>rz)jg&qtI{JBUl&S;&P_~GIipU#WU$sURZ~C?7)B7 zXJudl>E+|L;O5l~j8|?O+?=>68O-_*Yw-Gw%z-*|1)js-Zq3EK(3I8WuM4KLK8qjL zsa*PWI{A2)vtV4_Urm|!tdR)+ZZn`)&8xu2Yu&d!agnr=eb&AYZr)oE4*k)l7_Uj1 ziTLGXIe@q=&G}cgcz=+sd!k>_vI6^@T>-tiFdO@i%v~JZ?DPZo+8*QmYW!xNmkJRl z1IV{U(|+Wy@8{uum!)$)XJ3h;c31O0xCq*rPT#fPu^8x=idrkozr~Z6fK-?!(}!?Kp7L zcyBauJvtWLoyoxYTy8$k`_<}sTn|6o;(g%I_4NUi|IwW}Z^!Ck9@UUWbI8ZL`8)ex z$PIs0wn8NQzud=sRdI0r<~7gbo%i9RM^1*1dC&`W{jK{&WrT?XsR-SYpAd`!j?<_&9Ny||7AkT)ni6YskkvT#SBo%oE%PO;B10#c2{s zfx8?>vHzPcZDNV5)6wwpMvjGE1#ImE?jH=j%~b;2`3DVx&#sNotHXo&KGLNp*F%Xk zaQ*2Fb8z9G)H+U^H#5^iha_M30euUm5f@z|-qg%WoSCxV+}eK^i6M+Op?kDq}{H;waiyeRT4 zD)4>5o4g9~+gX9r0;pdf&YP@SobzyY*GS?b+m~FQugjv|Y`x+h`VHgfRa1B(;uNoM za(?DUa30F$MLeSNgEi!%v#vorsz@%5(|0M?!xFwmi)alLy#Ynw-4fx zwQr9iA9rsrd~DUq9DhcsxujQpccEY9Ka|(+^Qr65@9eRxuk8;Xozb!{ac}NjaNY42 z#P1~xS_Gf`$>`S`6oviG_%!^H^yWT47q}vYaDMX^Pxpwsw(HQZ>3SCNxNBRN5Lb_y z@%(>TG`6yrSajhab5_DMSDbIUyBLG-QGoVasYx!)>D;AYT*8swvo z^8H=DYLEC`;l0D)pW+K2@!3C!M_g|?1O8k1KB98*bEI6daTIaWg!d(JnV*mC)OA=F zE-efCRr~v5yyBaVb4f2g;B$z`F$nvBdp(=)JHBzqgKc#cdRsOkiu7LlD(rJP9`U<* z*>2JEs0r)9`6=Fu$F*Ymx1^UthcM3;%=*873@5Ih+(q7Oy{zDJ+wYT!+eIy)mq$-y zzTD&Uwa{;LNpO3AGq|W%q#0StqFKv-p6Fw z0_fN7s?nDG?d2$*$HtS{=ZhB0iL1Sv;3E%DhF-iZ5K3Hb?~eSabv!R7HiOrDMc&8E zld)JA?nxk@udbiqan;Dp>-vj%GbtXuuNZv1Q4)Gxx>F+fh_amj&Px%G@ka9f{f~F= z&9c7Fb-SiB_7kx^2>zmQdvNtfj)@ef*}%{5-sG*|`pQG($E(tW>oX}3>&^{r@e}Fw zn*s1~lM8cxQX+bQKfc8IKg93j-8SF1pcpl;bZbV$2r7{8awS=C zZ#xUS;n zW8E2F-UnQTQ%LGNMS^~|QYpNiR*$EEu~?{%qT;NSZN?|T~(pmze~^D3$GE(p{}!ZX`ltrG*eCyc$fx{r zC*A|NYX305r=fT8As*?yBjdomd%d|nGc?XuF0DMc&Hg#KXt8D_>0Q)$9`A@c%zJhn z173>H52kl_aQUnT@-L_Hx=_RU{~m66{jQ`p(*ogReO6*Unv&g9HKEVy=^S0N#Ik|Pw)jc%VzTsP)@L&`6h->HdsWGj9jVjDE$d71iY zFB+E)+rs|E`*R+u^l42#uG=ASH7yQYrVqfrp?~D}hu+Lu;I=~TKIEhJL}0%3rK0R# zGcJs{?AMRuOxw=+-_U73{G%t_pmy7P4eH7p8}L1R?#6N+wr4^7UT|mZhhDx?H>urA zD1C}PW#C&rS2TFe{*A-XuXxsUIJJwt72)sc5O8;A*eF~#vkSQRE{Nm5eFpWZSI=hs z*qew)Kbb$3^s3Ea_?ri;7k|!=1aDE5^*R4JP2Y`godNWzbNvUsw?7Au>+>|^!JgFI zZ{kbn#nmPwaa~#rxRGU9|NW^L_*CWp8_Ft85T^=$JOlchb=l|56YOu^e24e^GI%D( zb9y4j|8+R-Q{KyOkT=)!0Q33FR+5j%`4V~^e*)Y*Y&swP-U?v;5&`vfA^Hqf2R$4Kd z{N?pD_W39ZTaDC8<7W7kn6{E{Tb`XJnWD{ zK5jmr!`1S#%tON#6Suz{g^$-i4)db#`osrNJQEI~Us;6r84*&qFX`2n4>+Fb{o&(P zcpv9g9exj7uPFxZ8azQBOuv)x*E{zjpWctTCy>8M7|H&rUBKOz?jHHOZS8nmz23b) zEEM`3ac|ZF=DF)~oFjU2y|uf+{!czgCtv&VZyx-^$HU*rlhE6FIgwA-{dbPDVSS$W z^W(7JdO!4sj~X0?JexwTQJ=0-OVp3qx)k#$W`%4df7yW7h01;u18>m^qko0@6kHGBiTXZOL!+?3J8RrccSf9T=~>d*P*7)qZe z>tS%SGyJ{RwRyC+q7UhdyZBp-D+8?U>LE77k#lpFIR zjx6K&{Tg7rYHM56kN5gC$Jx9o^Q)`k;lJSpxG2^E+`FBG^|#Ep7WOfb5E(&w zacL{_{}$tXrMC~{JVb2(cRtO*#enbdoTARH0Jn!;!r!frjYGdBQ<&%A_rrSiz=_1w zIo?l9nT61sz%VYmQFOIHdAK#jh;DfRtKdN^+xa!z6inxBA4_qG1%JEeG7kQ9Z zKjVD%?1=T^%1j=Dez$4VgA5yu^=?MJ-5fyilzz+oR!oGyy;QXk=|%6{+;6qH;9lV9 zw#3aW&Zm9b1@}kM_6pXQdvO^)>PZQ3TX*|-(tCFnGVf6v+`Y+xdK0g?U(=fZA8jgE zFHd@RqdodHf#ndVmv3%pKqj{}GT3K&7u18yTN?Q^)A+ulZnQZ`I@P)$){EXXl6^Xc zV!gP@RmV}g3GT^!>-P#y&dsQI zzuT$Z4E`d^M=|81D$L+G8}Gonmd(RB|5N!s>+1UPegDSlN#t+eWW~Iw$1A|)M?>cj zm%i)aWA9dBerZw^aUHW8aoS6@uz$KE?WTdN#n4MpiO-+k=Ny?z`VGg~C$<5v)7#Ck zjy(VRyg#(|fnL|$mrOoh_M4oC1Lc^Dyx337mF3KNp&1)H%?q3t-QIk}(n)7=+b6dtWeFAwnV8N`eTj8}Zs4ChQ$s1f4yj&?vjsQS4V zkzTF7g?{zFMUe+Pug^^M8}#n~_+@=jZ{BZ_$*H6-&c9D_t+}q$XU~Tdx0_nC|IYRB z@w~;G$VZ%-$9Wri5b@Y)Wr9g>4n75UwL+0k_iO7u;I9^QJhc+xqrOW+-t5dj*eCo9 z;@3NO%p$$W#p}@%K8RDcue2Hc?pOo8+47iuCKNWrZB4$fc}?PZ{WkSUA|F@gHTS!L z_a(XLDCW^6zW^6)pP`;z{hU9Mk2k3w#w#cH=6p_ChW~Gxud0KqQX1>stWR7@dR4R% zxSKK$_ZNBK>@woo?`!xQud$==?rMQ(__rO1`1PL37?-Ixb#`iIyLk8t+#US^{fc4h zdJ*@gl!Lzrxy<7=Pd)Ncm)pYMrr%-yq7CZJ^W}9alXCF9cm=Soz1DuvtD?Uke*OLX zwaCZJ=K68TNjzVoDE!6K#~f$rRK#yP-ov@q>p2cSUb_b1X0bOHK8ZV+|9BSn3t4G4 zeC&1}moAnU@wh?*Mv>l&OozXW6ddQayQ7J_c{@1|k6vJ0?jX;v`a2irKkx?fY&xgS zhyKDz)~}3&-p=Y5MO>$Fzhb>VxX4j868bQH?ofF@Wqlt9y<60g^OMZa-R|vNLwb=K z2`*N(hhFNfvBXVLe~za?L&Rf08o8dhEIJr^{cjrUhqd8-td{_H4YT6DJxXyYCb!&6; z{lb3O5Ak@dBAStp8Citq@z+U+M=bbt0erse4uA3fTK0c16?qnYOK_d|e24lG1CJnn zb2$`x_dEYC$c=0GBl)XXKJSU6{QqB5rr=cKcH#->)$|kau~|0sCoWSA{8gJzIsakf zuO>Gd$)$5fSbJijwmLA zos8qU`r``fS%&aF;C!26yk_3*SnAi7NZ~lAcE!Bdn9dW4d$}55UR?Lhh(~R%okHA| zz68A-)`s=__HvzU>;%1T{~_kl7K^}p0JU=>^kUkV;BM@}LFA(ruH^apejnDO3wt>+ zmHLf;cYgSI0`e?g-J46?Ja^FR`J7Mnuzn(V(mHT^;S=ax(H@J4TeY0|+j6KM?-Rc- z12VaL@C@AS`2+i&ygQ;A>18p0#A&`<%UtbjNqYG^pEKp{_29PA_#wn?)1}aRJSqgBMcD4s7-Jdy7&!Hf94(3vspU+fsK zJD-aaNiWXV0k?5iSf9{gG;!IP$K@^@1(%^sxDJ2fe40_Kz(w-4fuy&A9`c|^#jrkC zm)`I{)`91-W+9F<_%6;ZYCG>^vI;+st4}shNu_@Gy*m#FXYf2WeT?&u4dmxg<2#4f z%aRM27q4*w`c-4^@_fa{C6SN#j_((;z&dc*Z{h;tE|}M;2+oE&^s;Qh^O{WN{YTDz z1-&T|3V(ZL49{;$Y3N1!5jdZ?Qc2uzT6WIcHUCjGUKta^c^FX#T!obDMqISv--W7W zoj5=1uJ@yOR8$<#Z`5Gk--;z9klrOO1eYohT-B>O1wQ2U|9}7IG9dl=ca|bgsasSB z(kK6q_`UdEU#{1PSEv^=acV5pmACjgxC`dG)1k?U#8v!q)Uhqe|8J3h?c)9L*=ums zefL%J*KsvG((B+es8@ZYAjKfoIKh?@uyf2z*S!t90sD|L_$3 Ws)aF#U)QP%y{tG8+{J89O8pT}@ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/22.npy b/MP_Data/pose1/12/22.npy new file mode 100644 index 0000000000000000000000000000000000000000..3e0399caad18bd5fd0ff9376f3aaeb02e4163c3c GIT binary patch literal 13424 zcmeI2_kWH_+s4PTR`0B~j9xd`hiF+Dy?0SJYobR8Nf1#-2qIdDXu%M@CoIcDGOH}B zm*{Qu-WIV|do#zGzu^7#ee=uxxxaH<$DDJ{IWyOF<(}Wpr)`HG8Q3T`wnD%DA$@}@ z)Z-Pr2Gprgl~))rEO-pp@ENdGh*GRSXu|FrKFYj}G8RJBr7KA!(? z|FSX0%=+2)ywg5azJgcqd3N}{WcPjl*O%_Q9GL&U`?NpLx#&K{4ez_IU4QvP?f(u# zyKcP(?P?^ov-EcBaR}|=>q)d*{|2~TKBwzd##?vc-)0&4x5z{7-qgQtJqYdcwBrv1ColKzt-D@7uYJ*7Z#t|%fAT~xDpK4dFe_Xq6xr^$f?l|-y!)>9ZixoZ*&NsF z=Epzd`(uwq$!YB}dx0wMyU4#3*Xx5{&@SK4o(EpAb7_2zxQ}s~*oWVUG`%V21HEkL z@wS2c9)1Vk`EPH~ZpXZ(d{l3E-Ll$2x5@FZUAqiUhM&IH813SZiAR#txGtCr?fQ8j z=2@T3jr!I(+Ru0G_N_0tDu3>(^V0`jBCl*;FL0X>dd+cmAZ8x)dGnLcfJ?Lv`|Vij zxER$vU0*5#XkW1y{XCOm|#94JCab$9}+` zO`d^%1I7|x6$Gv(eLu@_9WtJ{I0A0sPC;)Ejsw@+=azSx&iHp8uYpyoPB#5^I}tSgR>-2-1+D);o#!kx$;;;3DK{L&s&!2hg)Q6KTD( z8^fKyK2s8UQD`(c%k<9Qad|O;{41>nH;Io2fESz%Zl>HMefCYlalXq3TpnqOIBm-H z3EpX3)Y}Drov#_znY~-FJ$zOv=rEM^px@Mq;H=Po)SEs% zp^xM8W)1k5GuIJ6_q>I5s`{4&=YKXKJ|Gj;wJ1;>c~FM}XT+&vDUf2F>H{^VDxg)zNX5RE);Ea02!d zc0V_r1E=>w&krV0odnMRXVX%_bsjm|`N*WdFu!bGwP>jQeDFwjdrc z=>znFkHvZy=Q@F__X{yz70{?5;u+cz-0Z23e5y5lx;QRoq{3hRw=lSA6SxWfu@`8( z536FG+R8sfLq8!C#$`R)fy+JJ!A*e}>UXjyd_=>UzoOp`o50!T66D{1djNQs#*_!2 z`H0{AT?Oli&)fjLkX7KXTg*UR>AK}9o|yH}^IL}M>UAM-{kkl;J^li9#WK)((s%nLr?!It2|8o!fKYLDjmVuY4{@e7N=K3{$ z_h?)jn<5W9$QSEQR9y+qcs1lxZ%CkVP5K?2=cW18oA?;#BkF7eS7EtH-)`nmj4RU{ z(m#8Gx|R2qEP>va*0nlK=Y{oIg*>Q!1rR@LdYa;2)N?BIqXpGNY7)5EvmJG)vezbk z)uXRZ4TD2IKB||pzge-eIPt_n`_r+exdlAG{ijG`h#)a={+aN zCp9npt*#M@eoGz#mpds=eX!^l$Hjyql%H;MXKO^NWb+8#>Ji%z`U^f)KUqhB-n6V5>~ET}Ky zJX-{uce;%IU!^8QI4*Kbf{!XR6?%Ro(ii%_+mO%QlEmX54|iOCmk7OCG8#U1ctzBe zYI2->!WUECIv!Y(oTfKTuAxp$v!0ay+XHalZ=1G)zn$8Y_@T8UoIm@13ApeW2F@#O z&F_3zY9{#G71hASta{RM9?=e*i8F|YZ+qLGX=JhbaqcUuO3<3AH| z%AJoXKi7ibZ!>&Pah58*#rg15IxpmlJm7Nw-@}~`pEs9$GCV*$d}?dVFN+DJyuBEX zcSNKhT@QH5WM_Remq^J4s>vs`*h{p?^3IdfBTPe3TeG1iarfa6R@2 z#Xo5Ba_7TRR!|;-r&8USr zU#uYdRV`XhOm_Ovi||(!Ir41s9G;JUyPc(c)>(}_@Qi*P;J<;vN8MZtu6t}K=zRD- znlC=$SHv$jy&UPdUY&mbd6Xf~;+6-_N7k?q#d-f3;uq~_gu*}9FBE6*b;KKend`Vn zq5FJRBM6)&>{|%#L+7bDA4vO8fq-eQUnL`{4tL#$-o9ut(&RW?}GElgu38c)9dX?A@s|OMs;)k z=GaKYBb&^le!tFH=eWAG4L;`PeCSz$2mKw_FD3FLAALZb$j=p{;ooWp;uI~WV!rsT z%Q(k%=M-?AF(0k#0sH1dU!9(F&4dcjt6{P5;U`MMU;C~{JnGgB_}EqdA|BDUIOc`F zEH&H3!&`TNKUclLW#YPU#96f7_GtwVe1wBjr zfH>K#1K=vLFSyLI5L}mAHrn~9x`U8s`KU3Cw@b<>?=-GU(EX}8^bvXH%UdH(J$F6% ze7b^p7e_;yI3KoQ3b+k?1J0v@JHzJ~osTl<1^VSDR4DXq=s8I3q~}E2ItJ&CJa!d6 zs?=%t*vt=bUn;B6eVTam2>H=+X@K+LtJ3cePj17!t0I2O92Y0(`GvRi2G{HQ#)4bA zZ&y!pg4--z7dmb}(fydovj+P=?^$)8^!_Zjhs8K=YG z6I>BoMdcv<{4&V18A10gqWO0;ze~^hc&GWx1N0tR4IV@5G<(*u=yx%lP6ZcE%6Y0$_T~MDq zzGZi(SH;R99(|x7>cOODS>QOkW57kM1tHaW?23 z`FIb6-cAbAj;r6sgNtQDP@l5Z1Jt3tUXJuvJi&E`4w!d&>N3W~-_!*+tNzBkuxGL0 zW`P7(6%U6X{xSo>)fd`V<>oUuFYMSR;H*Xh)}vSu9PXVKj~E<_{Fu{|F<$lg@hZpV z=`iTc`Ds+=-tocUNxR7B`37)a@dDN^ztBC$cni@yJ$9FfLQG3+X$)qB=Y` z3Y;5y|0doBHH7~4VsP32EbSZn$NcO#-w=*C)$4G?DN}ZCbMfdzdahx!>QVjI9)$D7 zYc-~R$KhU!eCBenjNh_R>PVxk|Z+<3ykzR<$9*w3rvv#2I&Z;xe zjmvuM1h)f2h~KZ-8a_jhf}4J`z*T(2D970@dVeU2dV%YpVFAuZ_Xxs#se;AH=gFBt zj*H_%Xk5?sVP1?!nH$HK6A> z5juLk`)+3b1HF!>`z8M4kWj~E>#Fd#!XNS2fP}Hom-7V|O}bE=+h>Kt_ufKqR`nU; zVTUHnfxg2D_{$<)N$+)O6#S1@gI-m9cfoyUheyzU;`f2#d6E@A-1CRQXb<%x{pioo z^VKyGkKQtw`dwHGdcE`9WT)32N5EyzR_IsF_M7jx^7116*$>!nbzG*Qj+@>w;HKpa z>bLU)+^_QT?I~}0j)Thw|88)4?(q?NaqR&cl1uia5#{Q;5N6d73Tkt-(`te`r)vU6Sj`NS%D9+zJXg^%}=Qzhr zPRg_1Iv(8G8@O+=IiHiy_u-_Ee-P^QB2#;c|KWGohgst?f!=9c4x#$d?~-XhyftX0 z)2o$qKAI(E!FleGRp9qdk==xxWqejn2Q z#`i41^SdhV34eWJ2K-rUZS3=6@ekl4DFR#vcJp)oc1t4Z_y3vVzN<(6%6;~Wix}D$6nxadlk%!TKX7VWvq^V?Xq?AoL*+nM0xYvh<@#(5bd}v zydLqGIt?*id3G7qPxi~;tXgZzL+u6_mrVLZ@xSW@E@qs;dg0j(@ssbU4o5b|eY=dR zMDbsVf?jR($8(~XRs@`N-$eb^kM5f6;yhP~^bN*=+pGWl;^JgCes_D<7`wiIBz)}oDW{3z{3`U%NyzcA3Pa5)o~uZA6z%Ci+xP=Sv3lJ z&)><%Yc1BbNbZk3*mH^GlRy2v=y4jaDZ2?=efolaMRNCP&d0Wk2N!|Iz~wsKF{62T5kvhR+0n-ND9;=;FQH4pb=lkh`s2}szB7XgbgR2f%l+%lmE5OZ2FK}L_JoM5h1ND28{vU0-P0I-Xr0(Fh zQdQcQLQnPgc0O4tKPJ!*^&lQsrTrvu9{HqpJm++*<2STka)yD6$$hb2Si*X&UskIR z=|3z^f$x#sh>hci&s$f-co7z9x^=o1`P<{@K12>87r#Q~)Gy|8X$CLh2zEH>Q(2wYs=WY)! z3;&AyG~;;)+yoRPpP$+^hkrEvUw{o9gYn8@muNq4+X!*$ZS*??HL%-q=uf7{>020i zkkd28fG5)b@tIcvs<-URRwTRlbDToI>~MNrEn7$Ht7ixDH#^~D$E74XACb5OdfE6C z;^EONS~wrEB$dWBbTINMTP*i?oIi=Dyyc6fc#5@}=X}_ylhCVN*HOn(>}0v$_nRW zy+485RbRo?;rnaAe-EI3p9dly`Qp+h$JybZ!1=I2v=4L&U+uW=R2f|Kilg&ocD=QZ ztI@6D&x@^L*dJrz(>Dd2-=z1Vd{@iyj!W;o;Ogl&(5v^y6#O@3r96*$NO?9RmqOq5Jo%g% zOL=Jb3j2U4PyNdCjlpf(>!X~W=dFS`WyFu*BFBm`j*G!PC_fkJ`Pw#(pz*F9MdK}! z{yVhPbyE?~NiT|LjzB!}>Qg+2iWNc7n|){C&zn@jKF03Rer~pYhjYjL_2Z;um$%xq z?ri8DI>1N*R*0J+>CLJp!40fJ%af4?otyR7k|@xa#=ip_N#j_ zh=<>#=MkP|I{bOv!FW$=hxn8Kf=g6aVb!pX__uUlsyEU(uB*J9keueP^aYytN_39P zO_uVLer~cc^nXv$!A^F19{B`%`@A>eX9Z6}FXz*~YWi4k+u|b57k(lu^22A+a|)kr zdpaLIknX$mrVv^e%lx`I&LU~O@Qgjc?fvRqpwHh8KB~@T%%lGE6YbBxWX5<|Kwiw3 zy3+yY0!?ohM)mVf>((xy=QXLff}4b{p^odvG%iso z{dWSQdq)?K8C?kd%3^a7kA1ue>q6i8mHOSEK=XLF%{at=syO0jL;b0KYUTEF{_IJA z=viPHn%^Qt7dX94*afbVx?^9mgZ`NXpGvfTW%4EX=t1X(L+=w#d0tMxHxT`IV*RQD z<*DBz7WJUx{C%8Wh0;F85^rI?wER8TJB{<*>CgMaH$X2oAL#G6tlSemqDdI?tXsdW z;5fT>l>ED{1eZOcuzvX-x}W3|nxH;KY+KZWP2YcP`}MTnF0F-m5nH#x$5fq-c;uD* zc+a3^D7bCb7UMO;ZcTChiu8$hMkZd|s)Wa2Ho!NtG-NXJd)F!KLMzk{_W{=j{p4W5Sl z3%`+=UlBhs%IQVWa+;Upt-$s58Z#aL|G)pE8R*#o>p^^^-dgel#m42>r_`l3cU@ibuX$*lCR_wJ?_bgT^@#8l&?gUqkLmRu+-5Ev z?>LY68G6~0p4ZuTP3YV?^Y*;+l|Rt`E5wb_xDVtJH^4>yvFKMfTS5EzrCKRYZ=2Kq z{dB|aSidIMSa7j`o`c!{zLao%H#Ze7mrFlcFy^*VWTl#zM0Mo8}t%f z9jptk4}HWwV`~(GzbSZ-@?X{$dEiCPLNCL8z(s>yh*O0&B0iG-KVSwgU+ntT1@e>s Nxx2LP-)38q{69xM`7;0j literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/23.npy b/MP_Data/pose1/12/23.npy new file mode 100644 index 0000000000000000000000000000000000000000..c207db28ee3d8d0088754785127deb230ee84194 GIT binary patch literal 13424 zcmeI2_kWH_)W!#^x7Alkc61@iBEc>)dhfl2LA2-zDI!b|5-miD8l$sT%UZ-DqpY%a zW%asibgOQ#y7gwRlfU5o^?mcp^Lf5=-PfEsb7tng?>r0JcWc+NS0)z1A}R(94jvR# z@mpT8{*byAy?MnUV}iy94H(^jOi;jJ$D0or89X?h2M-%Cc5wRlO5gbU*7WxB=8^n= z`_ol==MJeK!LN-gBQK=YmW4Tsr!WYZv)4+W#1h zcA0e(+Ic9o+q~4S!;YX`6-ht*;5v~y2` zcA2*pT^~s8_QtE*?s|6QKJ_0_o7zLEo!$B7zH8Ta7F}_lX3oS5De0g5E%k4+mBIDu z^$WD~?HkUzb`e6?n~3U&-v&qDaM!Es^=`R#nMm#W@G`_FW@r7=wTt5yt!uYyGWx%E z{%^-kz1GOH&Z3Xw`XK7x{L=R?*RJ~Hr953daKyEndKv!zhCjviU)yK+d|m#qYq!1y zz-8Ii*TDU+AfGCv75W!1HbSqPoyDhIbLW-Q@yIoo-1TPWA{tk%w2R=giX%>@ykEO^ zmV6z4tVlf7ftdW->CDI?*Ic_a6EGgLKmNSqtXzW!?o&=&^%m`g_ux9YB?$fV0utBD zfY*PzcDf*DJqU)P8Q@_b4xAuV)tN za+4)D^|v|dWyAFEBIY)}oBH?B&b!?}9gEy)*UQ3>R%E|X#yUBhN z*V`dO(asx|M;*%+{Gw}T#qywkdnwl!!s$IXZbe*I^QECZYR@hAUCpk7c0TC8V=3w1 z`SCvgxOUZPH0D|STmbdWM}4=@wVNG%sh(S1K>g`F&yiPiyf^9VhF^ESy3VY4r)Rze zh;P1%_>AYF73k-4ck($^6Fzce`E`!Vb+lg8y8hUg_^GS#*U6QjXU7IycK+(M{%5D}wX~g1~j^-8taBBf(ASlizv-9mYdx=r zL%+_Sd~TG(yx5;=Xz&M=Pj##cxH`Bf!Eyd%4(ftE^GANzwMgy!_y=F)$2NV6Jd5I8 zS~|Ubl8N}P95lZp+H?ZX^gHH7R4oK9rVYpjpLYseM*T`YCyE3+E>Z`=hjmT{m!7eH zj;lZKkdKVUJSvY42?m_*283`_D{2J)EKDYyVJ??vOaU*G{y#BOw!rDRPZrAmA05C&){fxz(L(4&nlJe*ZSC*$q6o!l zUU*W!If{)yJo5#{Yo;zk{Pz0G;f^z3%D<{t75@CzRMeH2QZ^(0t}McBP;Qs>&U0s{KG`oF2e4E>naCve<4F(M>)M} zpP6_TALP^aKRVv&<>?c&?(&~Ozv{hTJor!_wJ~;530^|{mPkp9r+ZEJqAPHdms6X_zv8bJs0k{ zda)f`9?MVpPk1uYaj_%~T%|oh-O8^LmOIX}(z+JiGtP_L6Oad1urSrL=O2jE1Xh~i z^rnOW=YOSui!GB-hpJ^Aa5iTY&IPmXzX3LN@aJj>a^!YW;9o2>UmHsc#uRYfp^}y~wz__^01w9KtqnwXza0}dwqVvw)E{T1{ zmb^^->-MDY_!jF?uruI#Ks301ynm|mQH^GR+l0?I{M`6=jv{@g#i$4N=pF3?UTmjp zX9xNqe)ga-t)pcFao(9JzrjaF7o>g{KMryJ`Wfw?sxrlCTAaZ=vO!;w&*cU1F>$dA zoL*Eo1Ru6{7V+9$FfVLSKIpku5V#(f2t8}ngW_-4kM^aL8U4yE#GgI}SAK(n;s5Ir ziu3$+j7xds#=O`n8P72teXw41yEc(-yu82wtQRw^9M+dDAJ*UbD9=P%M-}T}z1Vf# zkWZ7g6aH#ScB+%>CDE_xp0S^N@}~9G^ElQ2-9Xa+GMD;YHjUH=f>g70Y!J=<0uT%2Ek z`#qDH;x~^clFwm3I=_-n!AG24fxOu)hnKr}?3OF26Zs|GXR>gK`+nik68?NsE99RC zE9^5O|59*sCkR}u<(|$*WX_nci#3UNm@6G;(QVPM`FIZTu$Ybkj_X@d6i>kk;N07D zG<=5rOFZ9FjLR%|Nay>+7qq{v_?hA#+bPb^`Sd7CaR!xxo{u~*(Q)hD1odWpDp4Jl z@Yc@XPFg|!hv!k8w_hMXtixzpFJ((noP|nnb3W$67U)^IjQh9lmB%?BT_BEpiata< za$W7oj*Iyt5sz&ULh~|qUxf3qHBzAGPkf-~uYHy}y-eMUeoZfWzSiBBZFhP$eIoR7 zT}$||yvIj4&UZcnS2s@~ep5Fl(fL@<)s%;Kv8Y>7^ZFv_>#m^rs$A0Id%r>2eX_w@ zsNar{5RdwNbe-cWtOenfX|SJ`gi+z~-1z~#Ol5RX}z0DsY~`Y`yE zZ$az5bW_TI=EB%##Pl)Hb6pJmvIDKKF6@%?@V9O0`OSLmS?GLBmsG?f7H*$N7G`|5Qb?-f-7*T@UA@;PiZ?wm+l% zOz9cs+O_OUahBLZD1-$=FSf+uPfqH-{6Tm!%sHc3c&g$PWwq zfI3kVO5$7)U6K$de?AlQrAqIkbNtCUivL<6=tZIAg)Sc3syO92rx(rd(wXql<2}I5 z{Vj-xAIOdKT26XTYnp+sU-?~A z%EQLqwC-ZoKocK65A!^LN6Zg~SbZ zTu;k*{;F{iT+9B`;dAp8^33XY#dvkw&~=X6D_>HaDW7m3!c!YX!@qNGaC@c#)`hwC z`%L&B%u4-^97^kb&J*NWe4UAW9w!suS`_CRkIi__n$VKQyR`Tu=VN9c!Mxbsbf2TI z^qmOa=|^z&HV5^)Y+HomYT8e(Z=9fzC&rq5DaB zVHf7zei*q5{=a8No@H1gaFaE7iR0#8E#jB*lYa3K+CS?YrTF`8!v3!lzCr!4e`BDx zCnV~`z-4IpZtt?xT+Hl|6E?=ADI_=k+Klu6`h;FUmVK;y`DR>hhKU;yxmZ6 zy;)@rMJ|IVPjO)xjN`$Hal9{aGU+<^4MeKC)w>t)1azcnnYApd2o)%*)?$AuIhbBd|C|RF%$AlcJZr8 z^j<}rr}vL4xW_oh<#f`k^4(FNvdNiVj`N7Jh(|prj(HdU9*Z3pH7QQ(8xB3MlVb{e zmb}4wl#fRkx)$VY8L{PxgIiofMGjLYOI zwbJQL7t*s=Un2i@<~6(r(3f69&$kbUUfdX~;a?^KTy`3R`ZV8e!gChyT$cL%^ewpU zz8mXHkGe$TZRQ6qZ+4GxK5WM#a2q#-eCkvh?>K)S04}|DWcZiv>A0@jnDj08(0aVw zYN}s47b6!UKm1h;#;XD!t##b~5(+(kH=F9b_OKww*{F87Tm&I^Kb-`Y(a7bXFmPdSe`mEX@)Z&6byPDXKx z7yEX&cyu>u0%W=jsL+a>gVSltZ9yvUy_fb(ZX z;KR2aUxhfIWCs^HpJ5*P@&s^}ClztZx5KF4m_&NsN&1F--j*hx9FtZ%A3Z7Kd4HcD zxOvkB@yHQ$ziJD1#&~6&6+_&()WcoyH~tgAMd5|*oR6t?ocORf%FnuALmX%O>HVQh zZAAJXw*@*M+j|V=OS~=(&Z8^hKG1rOK%92bA>`kN^<3_JbfIbY+;z(1N7N60`D%{) z&Y#VoJoL_q_|tEcupjEhU)^`@=4vTC$C)O9o1uUB8hZK9X!NVUD-jCcl*;huqlbgb zzXKw`6Z?QOudd*x!tkk%>)uPiP1h$>&qKS!InEaR3V*%3JLx~n2ytBQs0zLCdUFxq zuRj{&K6$4%(5p+i;UnTJ;6Bat?hn1}_8EF{C3&LLn>A4sPxi9V+o*(Tj_a4dfGgDs z{i=W3FGN388W2x=hy6``_-Zt`jt4isvnl=_zs(09+a7sSrA`tb{Bn!qHphGDZIuh) z+UxLg$N5D8&Y~IW(Ad9Qq@;5>WHaSC@fPjd@TOAKEF|K>B{!@5-fXC4#QVq8ytBcDz)FfUq_jPXm4UspIu z{f5j%-Kuck;ZDz+KLt03gW#j@^ZAZ5@5iJs>(_Hmm{?Ad33@2%Dv&x z%eDi-MZ#e1^vZOmcs`axJjSbRfAqU`8Mqi&m+Gg^Lp<;6aks#&f3fp^>DPZgxJSynV3`c{Zi5p{|tgzu;be>IvZ4XnaT~vh;vdHPu_LIGu-mZC~2=ntQ{a_mZdwS!)W`yPRKox1Y;HFoO@Tya@g> zx=9=7&-Ua7XIm+6Y~7ijj;pRqF)n_5Al8>i&W-w!xhyzibUz?gy_f=@>50S}HlX#G z|%rhawVE7;%U>D_sqp5N|4KM~P!(2Ihd z&N-d%x|o@R)p=IRwR4YH z>bC`>eJ@L1%)5C`?^X2Cmb6ZrRf}>ycGFzw^{BmA*J9_ZQSc9)O7VnMq4PAkQ>^nB zH)x$I-ygtj`Ev>2|7@dvd(|O6c2c)&t-=Q8@-fYmbvxRAY2)|EpPOVJy(yG@2*RR~Z8QdgAfQ#6= z(;c^8H=}rFM1t${|Aata@;&-h0Uby`FFW2J+O0=uTxE)av$BVpIlW$#@w-C;PaO1Ty;!EJgRzpYv-dity4WckoKj-D4ffx(OTre&RYT> z8~zRIkT0fw&668c&n3+w=c5v7J=!mFU|s0cCO^7se4u12%qG(@Mpv5|MKim8N{h#=yw-pTWyTX^xn24CEcIp z|AhE;jYa5JW^XgtaXzLz{8bNnuPe{`;{L&$=mLM!Hw}4EeeU7DMck@L{l3hHc@b@j zPC=aeDv-YEQQF5E@y~}`zeAePxQ1)YmucaRI+ywBzFmbKweETmcQFb+@92J5_y}+r z(tN4o>Itno*3II)U~MMA$N13sDE=!<>-6Qo2>2wN!+7nGoK!!5KAwbrM$`GCmS&;& zkF8XW%NjWlr`&Uo&hZVsSD@bzTEF}<{l0=XjR<#~3%akc3z{Q8{9vyT$8Bjkf0=&` za5?VliH_??+E-O@ebN_fjq%#kPv?GMgM2hMPM(}?y5v7rIt;o-M-!2jkL=;af7 z@1*_T;eJ)M%|t$7*>5-_`4Z4MXQe*Nl38`T}(#YmC8tn*NfW zJ9PEx$g{}#I>Grd-`Vgt18#!bD+96biG}aTzhfNc%S!FudY2JA`OFX{xNarv7aw1M<=sCsy^sE>7&9A_DN)Y;02|?W*SD9%YnbJMM`MuCC zi1TuH^7-o$=24Uz+{!Oq&!%U?c*S@5X(fsx6SCiAFHw% zb!9e~LC%NAY0@8{_cpf1zafsRmNYIkcnsy|ZeT|j535#;`u$}t;!$S~VqJ(`eJMYC zli;tqe?JNO@QnNU7Q;~|CM~v+^VcNAb8SLUQ z0SVBn@|&UO6P^!tTps8JE{lgD&#ZEnDvqm1C&9&})wEvzTaNWB*F2?hWo?G~Xn=VUGw8WS#LPiF_I-;u=P%lZ!Jo})OXEGuqa8Os>!{xtiFpyD zpU^(ssv*_?!@Y=yKNoA9p6#{J%jh1^+k|-3iCNwUdNr^D=8+YS*#iHh8Kj@n99;YE zAMLoVvW4=0;1t#)n}2P3N;;Rdj)BW7v6ScApO!jqzrIEKM_a(v$kq#>_u2u@L#lww zP2&Md!QSo{D|Xh@`I^S5xXEPF8ORxF|KdtK+5@<&96= z1+G)S#r(=Nx*y>3IyjH0i@e#xG>_)|Ui8azm01k`iUG(E&q4p^HIKf*ej>JRqkeNP z!TM6K{Aj*>Bf-TF7rl!`|*gsz)|GK{*pvK z-VMe&ZhNezJSWToH~k+DcU&&$PU|sm5zLG3S9rJM{MWyr*AcWIn&!XFPD$q?E}ppO z2k80wr?~%N4K{+CuM#mYX2d(p3k#f0{B;_*ircUfK0WBX5cPio=c8Ay03Si;Bh$H1 zhoZ;1nU1sb)8Qj(e?k224EW10CR02CcpETFil^ON~dOIo=b);v$OmJM7HCR`s zM=@|SXQc*juCedykM!Qu)Tpq*aalYk?MK0MAH*Jx#QPBK)9iwuYrjbE<8A(W%bZ@N zeGP6B>30(>Tbs4;N$v!$H_`7vb=0Tzj+=fP&O0BzjGhnp<`r0va(}6Fj;l5Pw4R#A zEp&R3f9qMt<$>I^o;I&Tzhd%Pa2-IuZ&mfD(>`$cBz$C6dTtPls^Yv>=PN0~h!%pC4EWHnA5wX}$WQG3ZzrPmpZ%UWIe#Jj!fj@uw n3HzUJ(;MfGD%Ku8{M8NG7u#MTUgu4!>sPN$1vkH?CZzli70%O5 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/24.npy b/MP_Data/pose1/12/24.npy new file mode 100644 index 0000000000000000000000000000000000000000..12db394b8ca29a7a706147442aae6fca002f32bc GIT binary patch literal 13424 zcmeI2_g_{w*v8|)Ju8mZb#U*AvnoL?#XV55E`o?#5l|FS3@#ivaDfY>Rt2qFD{WOG zY8`chxFvP3+SXOKFS&01g7??=<(Kn$zPZkoJ9qBn)$2IbhX#d=5Ah%C7Zfri&~h*T(V>A^JaoAKxWKH>H5xW;+Ne&=I?hz* zfBRQ}F($4oxaW~|RlC2wX0N)-ihC(pSAO)%-}bZgD1IO9$ChN+E4w-TF51gcyOT5q z?P6;p+Qlwvce2~fElurJFQA?8ABOu)LAqZby>S=*T@~8(o7&{xi`rF-A!s*ikD%SD zSQG6sgxbZZ7k3a>`$y!zxfa^>)NKEpbsyMvnYiq#y_&ygr>A6HdH(G76As;f^A+0l z+qoBQyE7%*KcybxH=k$SwD)V(^iSKaHfFaMjz@grfXgkkC!965oo}LczC7)*<)UCm zo1j9K!f{mou-ej(@ZFs=eQwo&CsuR)ZDAUuYoa zS=Zly_|>Lg>3)3zI@8Wz{3@^827A908FS#5dD_@3+nf{ry2pc!_Oq;TZ?V0a%nrC; zo=E&;Ka0Z?6H>CSdVAhF_Ol+llkUHifp#_N-Ac>Z-3FEHRj$5I<9v{jlV^R_6OU$E zF3RM4*(U4C>fgcrdcvKYJnN&A-0X^N=kZUj*>>?VAN9Z0FBjSa%e?1`XAKR|x?f4U)A6G%U+TQb6N)~7T zE%@8E^X_9Y&t^_B)VFxjdZ}%9sty2W6VgzBy3&*Nmdl8K#KR}uu)e13>?P2zE(WgG zUqgH%WA|$4hxH-u)(Af8M#YWLzw1E!2S4mfDk+Wp|Edn|R2+;vIYn;9TD^F%4C`1G znE|f)R}J>CJWpxprDrbe4=iB9e5+S&v*Wqm5cT7X4_#$&SC&RY+r{7?D?TyDtW zX}Rcs7kas2CgxFhC=_h{)orb^YNmW!ZP;4)(e z)zzwARBy?DQ672*fICg=Ew+07-7)fC@eA>yuc9qCCknxbZN31`#$Ld>Fe4s7uh;$q zF52CmVfE~uB>$F&P;cT?roZK?SObdF`!?d2b+6Gn^{)i3H+T_W@&)^@?pzmnFo(y} zyyR_M2XWSnfxpqukvGTX4Az}Fn@I6IyG#4S&|b?Bf9(Wt-g_~)`Mc{9#JO({{Kd5^ z;7-?@REMEoBOWJ4Vm}e(3nNam@&NSOULkzK33HpNI7>_I4v4yPC$^Cto}3<5cYlE_$@0_4}f{54hKB z_$%-7;H>4;ZPuUnO(!3}dbF>eD;jI{rco}+e?&K0zd1UBI|Y}MeqmGi=z41h!oSf^ z#OGB2mutL7!N-kbyt2+p8gEFI5tggrlz-t_7yjHM0(B*iRDuutW*g~`oWVZET9*Ll zyQ_msueYcxUiK&Wt6AZfJZ#*riww2?Y*TK^bH)wilZ6+Lub3s~T6b~h(67GOdx_=zKoiQ(=wQ^djPpdD=(&vQ;o=r>Q{WKx zf9aQj_{G|*;Hs5-wCz_nxC`!-`JVES*cR(fmfk?)Em9x(G_N}bTD|H03%D%tEzP6v z{cy{9fnDILT~Tl+vFsSjWyrt8hd!fvPK{ZGelOFycFr5bqg|&V4{V1k;%D>EgYyy% zXG0&sX}ncZz}ci3s6&3b8MtUN2G0d~^l=3GjcrYNaLqtGDrO+&%X!j<^bwQ6`2wE> zR&SPifXnEbq~Do9&z=3$FaP=l`ZddaP!A@Vo~K$CfSy&mB&`oGdI#eb73g`#i&exv zqn}>^XQm73&%dMfn0AixQ)w2s<9cwq^-<}wv-y{s9$BBA>!YAIpO&E>nE!j^Q+Tpn zwq5n^Pvb4u7V~I)2I6@qCY*(jF7Xxo`9B}RtiOIh`zJr=P``ssxaFo_8ThasvG8#U z%#5|%8F&~zeE&T1@7a;&WndBL`LDs?>T^8w%EcFYvtSVRC067l_1i8NjjQ7`+ON*H z4z>RL$qLfHxIz2dhmSZ9@WpPlUK%#Vdf`QWnd*_HmtzFD-d%9=x+G4ym?V4+Rs71I%o;SbF>cWd#$DVe=!1FwqA&S#qr*lcll!*;!O)< zy^A~NB5nNY4)v@281{MAxo?1tQ#3A(c+`kn;5=&AEX#S_Nciv}bFSFWPWwCq?NtVJ zgx-W#1s4-C##yds?Sx)ci-3)TmhN zBmVuK^5)(V`R7fyjknx9ilcsqg@UWs&0VdJIFS?nPOZk^GTBpDZfbP~*B)tzM}1#p z2>9?QaPB*S@=)wH_5ro`6}a(>$GB8^I!~IJFQ}d?AEfx-`!BNb@B*a}4-2mXy?K}` z!g6u3E$U4Ss*ZZo;nkJxm$zI^{XSlZICb}X$d7qFhVqcBJmtSjwe8l&`7Vj{L+Jb_ zMBZTQqZ%&)7hN7vJohVNeud{~is$15#G{A5L_E%CS{L$S6X=z9?Re{>b0ni*xryGd zo#6N#wqO1r9RBRMH~IJ$9}VvH1l(*rMf370BEkBwck9rv*f|$<%c8F=gZ}esipQm_ zv7g0WKV`3GXcGE$&OJdq!t3{q&^PvmUcXPpdN)-()Pds<@qbuNI{C0|` zUL5&%Y(CuToeVGJUk`3a`Cncb`-~nI1Uf?falDBMw z=c7JE??x!+8@GWJXL2Hqt9VVU3mKi8_=XU0KI2ZD)r(Ibz-7K*+6Pv} zM%#Wln~yv=Hy=Q++UE*`|GzcKCv6$xcXD2@Zn^I018%&6!C8)9`+_eT1Fk&!(|Dis z9|1n&9`eTjD-5nTN6oWb4gDT^?a+MjsJfn(%P*zC#hMhF$C9IZrda)@hsX~LO9eNj z!+b5*BYpvQ_B{rd?xR{+E<0!MpQp=Fzv5jV>u;6>Q=Ke}hh8s=-C{Xgw4LT_T^#hP z*S0{*oo9Z?4_opcb)wFd!E-_E--9@vmC=|lk-iJhasBQRI9pHxdRcJyQX7xxP3K$L zu?Fd9OoxxNx*YsP;jM^=jeQ9p)As}7;Y-V7US#Ibg^0g@5BPIE09@yPI~{TEEd?Jw z=~r;!wSTbfS3Yb{K3n=>-Er4Co2{Nz97%Bwu0Z+OH^tv_>3fU#({-qG=XKpB)<^G* zfxoK0i~9Xh2V@pN!itKUrPBPyImp2e(QRL{32ZnWHl6{k2yf5JJ0jcPXw zKCcUcvnAEAF4T>)(Uu#L2VArr1}>jHMt)>!4sdzy7g|R}OVD|y$#cXb3VLI_&f%g{ z;2(1o+_{h+dR;VhGI*DL;4Ca3@xDhQEN4?Ug7dTQ5T~dz9X{%A0QtO%Bi^acBB z*2jdMfnKb7j(+tg?}^Z#8jgM)_jGWcc#NJqYw4UO^In9HbMh^n&%2$ceqEm+KPG7U zNb94@(0Nj)?Z&*Ty#8w~m(_D3&w9HjxcGbM3h1jf1~-L^fwRW_<1E*AQsJ+}7TW)h z*FgQq!E>SKfr9F%tUK~Af1OVLZNE@`)~^)~pH(%9S1nBS{3#0KHMQHr-)Wi;dbV(= zuZN9u)-cM?{wcIhzx+Y|YiEM9r;DK%Cv#Aqi#vF`oo7S)CI~s9HpN@#rY4;<1OzFb({E}`sx3f~k$^U*d;*nu4 zkv4wjO?4%M3&O{V^9iO(*FUXUP5nbk0AYTBbC)VV<&^loI$8hv&MTge7092-k~Mc zZCD7_m&&}1aXB;E5O>WRVfCsd{a?{M4g_aDmqWo<4xv08-T^NEyVl2Y_QDffd;N^{ zsJ(|y_sGJ!?Na1NFPe+-va!!MSk7imBz?0OS{L=>Lo8Rp`@rS-?chBBb|3gG&3^7L zUkdJY@%Bow{(pF4T-wza+)PXEXgRMpp2pklEApvPzpdp?)i~1cO+%bw?NkrTS?_5y zkK5)TPI>XSogP*nN#{3RqZRV+1oy-9MGklfA9lPxjmxtStS{fHQa6Px!6j)Nk4nyoZV*4M|_w4V+yIS!aDr zOM2he%mbXS?t*yO$%PbW{hl=5x0yrjxO7W;-%)e3&#T?$bhbWX_Hoj0Tm(I@yfMsj z78rwh;fp=N)hf49*2jDv3od56fjb{I(>ZYPNQ!gbVak7ew^i0hx=z1u@8iYyQoY^D zjKSw#vnfBR`4GQY7L5JSEGzxMwmW^x;XO{R8k~sFmEMql#USc;Y2JyJ%jY%Wufs=x z>pC4Hz;!=xr&KR+9^H4k6=XngHLiD=-HY#m+fa0 zc_PSOxevu7Mihh(`>7<(Y0k(&(DTEeq1XN!Cc|f^q<&{tf?i#To&ld4$H9$92lT7< zc`mh_^=S>RufL`J_Cx9z%SA#g`81dh9}{?FvE}+w7vzoCI03F_JxsD(wt7cCE7K^> zA$wL?Zd!2S-5BbSt$OU80-lIG@RbJpGaot>^>0$w(|nzpLHlHU&lsy0jqZUvjo(AB z(!avFLX|H7e{-)c^m5S2Dew>ZgM8elf~(voac&X4o>9NwMA7~kd1s>4^USXBQR`i> z56e@Jkq5bC7WCR^#P1v)vL60%R9AdoRdC}vZiD6e${+9%hiB0|x)z(`k;P^B3HYex z3sAS(wZjPXJD%bZYeL{7jI-Es<@W@7r%(m*@B111xtg0s;|)v2{-7H)!u*OalSu#8 zpZ1L-LRlZSy$9)+RH1kVy&8mm7sZ3Kd(FU|p7-#+Z|WOxUZZrHN7n89ORe?xDiWu_ zUwoAgy$bI-)B30%X|8zk^fNr$o@%~M{zB1x8*AN zH2ig+bd1+|TnO{-MEpp+mn*H`^O5*Ji5T1jamo^N;qSctjOVZ1UyjDrdM3Ci@JLvH z-DfAb`TaQ7yVze#TF&nOMgDgWP@ccNg>xxy_6po|>4fnz_sMvEi9g?iix#QyG5Z?I zlq?$_NZ&U*^5#YBE63g)Z?7idcl7Jr{1f@qksYw^bd{VG=hv;lW#`I%)`zWrKzhG= z)bEn0CGdO0u>oPFpBu8!2fxY)-J#B=wj z{LDOq^}_lc23IBCAP;h5(|Oj%IZ^}h$ky}7XV>T9wqJ9l48?yl3EY`c&e!VM^^)Lv z?PPEsR%L+IJGu73pD)-9e|763Kg<3AJQ#|ZqH2Lg_m6khsR+9e2 zN^o5)xVX+c-hCT;O6%) zG_FwhXvFEdk@Q{u0B5o!_7nLntzY?K9k}?lb%@n-{u+8Vau@lq-w=;@M)U40xD0L< z{1nirYr(7HSKX`0ou=W9v- zNA|hpWLfC-%rD@k;Z^K!&YAZmtX^_o^lMhvMx3Jd_&|>=&YQi2p8x1i>;3Dx*iX3I zLgB#_C3#6^c+d1_Z|IB2l$&IUqx9T?HvQXesTcoT7*s-10EYi@${=r&r{WA zuJvb)b7Ef9v2Eb|tJFBlWyS6AVF&2<2xk6-aLdKuU*Tg$HN*btymZBLR@_z4tK>$M z&-s%l*?twjKt2g=X&v41!8&3IEzvLQ>q7de1+YJe^!xC48q@+;xjV$#es%stihlqb7l86z#1UygvwzNJW?IQl!wP3jNes{9n> zL2Q16{haUdM4V1QKhy&s*(Sm2o%R$b+fxd8P-$7;jAU_MER1|g(fO9Gk6o9N#kJcR z;z4z(uBx5J`f{pwqdbJ{qI?$nV-MnK8&7erIFEQ(+H9QX&3)SEdGtu+lmGb>p3A1| zdgMV3SOFiowHoSBpQm#L|LrFATj|g;8;{yb>rrjXgY}{&wcKm_m7}xwlQHk%qdzP| z-SXAh`$@zC^68y#jrHN~w9hk_?$`%J;EZ+Fhn4tD^D^WkxJrMx$#TAR6peS~Ncfnb z)7zl`uQ9m3Glce^qme&aE(+BE7mewANfBFhGxRSzlYd(F_wu{)BTikEes|$KYE0u= zlei+q_B-Sw@@X0^L%+J?#6a-mDiqIhgYmMHb#Z>s={+f*;$LvHGK0=7pR0j81&U%` zv>Tgdk6k=d0se*C!Jn^RNBc&v3aE2AmCngB$5CVN7h6-K>{WN7_X3^Z z0nWQOj7NKmgXmYgW#W0EE)Ii_7(~xU>0T1?$QHdKtezdYi1G4c`N36-%qf;<{hk5b zd6$dos(ideza8=-PW9y;J;(cYSq(mu)~{$0i9D!RLE-RePv;7C#|zwP*&)nwS&p8+ zY(oQZmXU8V^uc`)ze#8XZpyU6c%5UR;Ii#NaM|RC+30sR?GN%+E5sv4XW%`Q-yI9R zx=+6+bexAcuc}k@9O0ky&~v9}t*8_mk3X$D=fp3_zto4Z|Fc(A&${so)Ct==7UwkX zejNTz!FtHE3B4JIaRtl=7w)&gMb7Tn_srw$edg3c%$K~pv;oGup*HfVhcnc_b9~QF zmODH4Bme5}lNhfvb;nfb7e<52iKDSEnW~!+kKWS`{p#n@@E6My7b2efBWS*w(EGI< zTn+0;?xOYXT-c2|RLw6$rr3V_T_*oJ8N|z-L4Nc}18$lYN1SZ%Y5Klw8lC6aSo(dU zoPGd$^--e)H(=XE(@f@P{qBi@2 zbMvGZ^pmMhRPzkXBY(Qq%OlH2md=CmI!Q$^U%b92o(pVa1mfpg&Z3@q(rU!df}+5k z0Qy}jzjY=6K1u5+4}b5Z`YiM^%yRZ0)w6jzmf}f0)5FFiUYDXgKaD{=a^QNb3v;zU z`CQ#Yb(?#^6sza!%OejmXgKObr#I);pZ5+ReQo-F$2sJ--0Gb@+2_pIAFwZ}r@8Pu z1YLmUOPed?bD`ZhtCz=Ue_;9RBLDo*cC25STm}6K7eo8Z$LQWx&ni(q+3{Ochhe8e z5YOcmq(8I;dgC@D&~n!F2XGTV5qXxerK?!(1fK+#nF*ACzj0W<>M^~Km>KO+pXQO< zDBCZOyoB-ckBPL;x8|4^Ie!;?)V%qKM{g^=2>p(p1g=9n(fV5WX{O~m$427XkLqVv zGWKCzxDDn-vjd2Sy=;hm+bpE_LFeZ_(Cg@ls1p<0A9~TED(w%u!|;Cq(|$Jm+0E~W z7j_+M`xRmIzOPQ4!g_ReU!93@jXR2QDZjb2pB#G^5AH+jNbgAk*S9;wS}um}fL=VS zMe~w6GQo1apWYKqWNp-sj*ai+Vf8-Q&-bq9vG3^>W52fCO#hbhwtok>88EjOc&~}X z-|Yf-s?`s*Tt1`o0DpKLoV(RQ-qf8F(2KDL(66(-5f6WY zUY=Wy^(FnPVZM0S6mUH)o%qO}v#gH}Xii){0v89%O|jgWLhl#a^$NIh&wk(Rn@ag~ z*-QF$jmKF%Tb)38dpwWy{cn$ePmex`lV7Fpqji}=`z)92HuR=v_WQWonfWQU->b3Y zlk)?O%k9xJ%hilc#Kl^gmm4oIFV2~H;Jnqp;Oy^&HCE4lq~`^T*$2)ytym5Jo%DP( zlMA2@MftR7%Vn#X@KJ%ez|EIw@Rt!&!L!yYxT?39&LcOo8|RJqTe<2yKd)N80J?raG!7Wa?@&>mo}ZixyK{$tfv3} z`#+cg8C3~&<8*EF2=%0SwEexeN!kxCKh}I`xvotA$73rpss3`lpgJl!0Q;V4;*WL3 z&ia7!oR`+44t={~-{TW}r2i4Qon&T^SI6+U`KJ?uklc;sTsS#JhCQv&_6 zwx{X2@Miu6>(4u7zc)nI!+s(j9R=5)>OwE84Fq@Gd%~Z^wL$**FRKuzb1;eYF|W|C hX?G0!kLq0ooaIjk*U{gCi;?w+&pih&Dqf6F`5zEL?~woi literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/25.npy b/MP_Data/pose1/12/25.npy new file mode 100644 index 0000000000000000000000000000000000000000..eb13fb3855f90ef7fbcac69872a3ca31de6a34f4 GIT binary patch literal 13424 zcmeI2`G1Z_*!Cx}E444tVoHhHwbU*{>`PJmQYO)ml-RP!LNX!tHMZD|SgN)lw3Nz} zDx#KH5@H)WwNuqv>d72u-hbfz^?CBk{kgw$T*sVq&N*|&|0Rj)4H`gyQ$7VZ6Q zK**4>-c7i7v!RW=YjW?QqsE4g^&2^O)YxwW9B=D4A|xQ2hXneK4#@sqt=^YkeqQsl zntTHP|NSe-7~@Um-15o(Gyxx7bf3aw=&e-855IrnzRUW>Zo5x?d|`(BtM7 zwCno6q211Vf5Y|9BB@>6cy_~GuZuiDJNNLw^=wj3`#SGCuASFkaKU}b<$ce&>*fFJ zKdmCJH(9UHF8r>YMtdAxuXol){Oa1|%kFxU@y5D#zLDDPu|&jYmgl+R+HFOJcJn>8 zvk%VR$8}$~L!R}?qrbcBbglGxps$iA)3uvV!_c2uIPpCA zwLACRr&x3PrE6CUvM9b2L-1)s8~^Rv+46`i*KT_(!g$!D1!o*Lo)z!9Ptm~VAGB}( ziLQ_9fd0+6{J7o}EpXMft2^DG*QFBAy6aS**);ya6LG!z;sA~3{uYeiteyJO>2yfB zi@5&Ee8j7sl}7yHL}Sde==;szXs^2;*PF^|(CMewFn;|>&9$yw{%WQ$>((YId`(+3c}vm)(Og&+^k!sBhlFYk_O$eFlIVehKxbFI+@kcyK>( zK04--^R?H5<~zNtRuo)(d>!$bF6)*%E;jZe9^8cL_{XA{A3LA}@x{ZiFR@(5;4gx_ zi60+^Jjrh#Bsd?_YZ2BluQnZAmA*gP_0P7HhF%RXfc?P+{yr1^-Yf!c>or3C=(zK9 z;B(+E?MKTq(sBLZPO;Fp8x6h8H57SJ&p*Prcwgdd?J96xJbJFv^T?4DXJ87r4C*%B zaa|&Wc<627JZq}sW>+{k^QuDoL4ljlGv6q1lNJWf`vuH$dgV7BTy;$&efozp9Jj}! z$-ho-)EW0b7vZ?*Fp%_xYG7XE#E&$12IW)#Qx9DI7@X)hKRpw5!SneeKYVJC_Hq5@ zYl!^V4$qNi`}@fD@Tu)d`{0|xw2z*t(A{y<`UK{Moi7WncV!fHKDtgE%~zq*@G-ec zg}{G?KYYZ82f)R!u;$Rm-Xx!UGck{Bo*d)++3Js>SGgvEi!*$<<9uB*^s@2};?<50 zbKJI=MLuKbeqopF@&!NJ16*I|fjHIDRWUwJ-~C65=R{jtclB2Yrx)vDpf^7SQ2Zw| z$2mP~HV1iQyX)qRH*JmMrfxy%H}*Y^D=q&_=(E0nzp1br_0Jaf9q;^ENG;5l>`)eU zqT2q8deh6Bg7fuMSA6>m)UAB*5I%Bo5cItLU#LUz(;?y;4e`q}raFI){KDVF6UR<+deKyYv)>L;9s0c+j5xd3fsbu?2l3kiN3c$<`Gn%H)s^-K z`#1?cFKQtV_TB`Vm(#ut9hdcH!QXuUg7RNw&jiPHyN%%X{hzcyG^(@Eaej6sxGI+j zE)Ld0e%R*e@RyG+Q@_Q!bai@mr!3+Tcc;-g=MbYf3+$nJNitOD!8+dQ&G2Cqr+;3= zshSmwL_BkU!~EKq2IqXTb$Xn~LieeQj9tg`=KT_u})N zk3IUH@^Eo0xa2*tj`-2@;Cl2ms{ivxrZ~M0y#dbWbU_~E+1yxP_WL!Y&()CfykW-> zr{}x(fQ#|1h)?|x^<%~+6Tej&oHt#7{mR^U3U2cKMfLo3;4;Kn{Smmzx`TLF?NV`$ ztJ@_oF23R%xZZkfGWd2M;(HH)o5>Y1FJk4F;H=e1I)4TYvzQ85NwsADvb>so;8jkUn-{ff}*v(zt(qJ4vT(S1!8x<})>UX=6|hbZ(LbRAsJ z@CH{KHe-HO<4kZ_wI{e~G7;<1<~a#2dd(#L-PX{{6;nuGGB3s}Di(*H1uvp?wB`-+ zX~SM8`?&G;?T`4?&h}K#$t`fdV;O(IN0st|zy7#ExQkPF{0-a|sYW~_UnJrmQ3gIN zJdu3P`6oCocKiap{&gO>{UjgiM?@5cUR)UmEx=^X3AOlpet!eVES_i^$2NN{<*Ce|0Lb3!^Fer_eW z7~K-8Eh5M%Lvt@we z_EAUZO?*vo6FQX6d*9IdGJy&{ymT$xzfAdK@X>?TB5&Mp{xTO2t8)=`!smTU_l1H( z6P&+FYY%@uuq!zC-+_I`BrO5g(<8uj??Z*0kM2$LCEqoq`3h=+Jj>~w(XTv^iFizv z65l$#jE|#u(j&ob=DT3{wETiz&dZ%*eo z-nYRR=OdrY0cTl{5Rd4TGQn}aa|FfnPc-7OW?8iJF&hp*uRd!|`n4Y{fltUD8rQlh zmz|DBuGr>2*^NkwGpY-G_-|sk<2vg;xY(Ocd9F8jmGe;-S5v>8W>VeOFSZCi$CeW> z@{z^$Z^vtVw%vq&S%t@lhc`R2)^QO|^DYV;#(FnnMz3&O?xp7>_Wm~RJK{|;xX8Z+ z@t97F;cri5d5komQRdcGW_1W*iO-vZpg}h94&Kivcm!VacIK5c;26}Nl4Eun7 z>V^o)EvfaB)DAmqp7WtbNk^=6*)=Z$t!{C~|R9y5sU;{j(V{%z$@SG@Dw1y0Z6=zMEC z)Fyr0pajQ7<&WXd_a!497FmPt*ZW`7xQbSw`Q7^G92bx5&<*}(#XxXddd?)r_4ShQ zkkaVv@H_bEs+DQHsr#kloLwRR;0?6Tt&9I4Uoxe??_Y8c8C+c7B_#@u= zsHz{3e|imY^}5?s_)p10`Dr-T zIZG5Q2EC}Vn$8L5QxHG@h|WLU-iva2QE)A|Nb(^4`egW+LqovTrqwvlXwO;W;O`ZP zJeww+F3o$ByyzYfmFj-&gI&GQCa-2SVZ z^I`Tl#WUk2`sGOxIER>lLFkts%minm#60MI>72$ZWs=W}T6BJBP3JTtA5c96cE>qi z#^;&nf@QN`v#nZxWqeY(7YFvTfM^?PsM> zKRjqE`Q#srI#GB2jc|JVT9MDXcZi3LC<4x#R|D6D3PW!bdt$sY!599#S7D0(MXdpD zyf%Co@u-PdckGle=287J3EWg#2tBVfyQ%9}rQV_Sb#*cH(!WL+_~GWztE6UBw;okd zCoJ?==vl%Ja4~Fq1E&`se}p*If#Ec+I`83Q%dCTsC{qIW5!>e(*0l&N3a<0y+y|HB zk9F~@w)9?wRVV}>-fPTQ$3@*@&~r8rb!fgC@r~o`(x(*v-11ZpecR!FstZw^qUHqX zWs|$`H%tDZeR#ZvUZu27az5r|d5ZIWO>h~o59b_KYd^S|qb!4|m&&Ng4C z`(vqx%Tu#`bk;uN*UKQE;_odB9T)eW6OSGPy|~p^JFfhqz-?F<>eG&_PyHUH=T=s~ z6*!yf5ec8h85pn4*A856UJ>oM+`o|KWz0x$@u)xUr?znb<>&H`;Of}@zVHcb1&$!ih!QQCZNvc-{UYZtk`aFRXhcp`LyZb^ve4^ zxY)FW_&Tq4u3z4=6~=4!4*<8XR&;Wl1%^@{_R%_$A$NVj>m-7+mKPAG{CP`D$4yKu z?W^~uBTkdH1WCpAZreodFzPA`|$g^!w74cz*4UF|sU zPS5-5bQ^HvQ5*5tpXj_Q^Yx*5SyFbWkJFdhf%thu6u3^Q+7&(>4}+U?3yI5z*dJ^X zy+2gHwF4K=5^&x#aieIydR7BBzj)w$B7O{_I0qcYyznnOEOY+s=eXOhe>RNXPs-e* zX1VX;tI5zC&mxFlCL;ccU-%@Tnf)|qEe-e&^Lcc{^v%aUsg0Y+;LOvGx*!z zg23g1^-+$?y#2xTvmV4B{~HH>e<3(8^C#7Ll{B0O_`gTtFJDsL__;sBoLpQh5^(DT+Gz{i>~!yFfl2T{MC@1QrGw?sP5W+-smn?uh&&Nm5uk-t$q z&)OnRt@1B$T-Im`E{?vuhU@1Bk8+>ZKY{qtY4FiC#qC* zJ^T9<^&20!3_hz{P`}Zh*iUr5S-5YqFTSTdzq^I~*&b+*`sY7u;%}y6e-nQenw6Rz z5C8BcxIXqD>3_OS=i$fs;cv4(hu%z#9q;t2UmEmwT^u;?moV9J+3^9m`C~G;95iE` z<3e_UkIBl9eOO#vjr_CZc<5Qxqlll4>a_;(9M7q%wY9*_dH*EGb>}}Qo-y=)K(SX& z^>Oip{th3}XddcTWn>09J*!Faunptj!$+0Ic~yRRKPS#g;5OnZ_H!MP4u5_3SL`SD zQXb5&>JkCH+!+Ke3(>yK-gJjvHLZ*~kxjPyxqb~>3eHE-`v)_$1Lj?%T?dzG#m>68 z`L6rgeX{=a{}Hw=lYBb-5bu1%;3MeQ{@Rl2q2}c=PA__lfDhX@g63sK)dKA zvvv*UQEeW$!*L#QjC?{bV!ZmzbBx!FS_>}Ld13v^j{Wic&g~cQS5b4wzhyJ*^J?Zt z)bGUU;38kRpYvzcw}YDj2eIC>k7qH6GvOipRlYozum-8;A!`HiB2tKbKp?PQme*TNg~Vxl%s{F!ZNyeT75KdMm%xSiJ(T(f_tI)8of zHO2pGFy+mU){Fh@7jRLB-tV!NUO4}#0B?$a&s_5Njtg?}Ge!Sj7q_>8vj&fPIe+<} zB=llqEa@-R_{Ql)#!mRl4O@_B6R|$g=~=z26z8%S==C%i;5-#6Jy>bX?c_5S*pc{v#_jz_~~T)B@)_B-RTX<1-fHS~H01p=&tSyMCK{myh$W z@E&oR6HCZHAifj&ZCjA$C77Or%=2TRcPILorp!h zmsdb=OwbRzsbx3mEpgx7xkM`llG;>m%jCJab`V(Uf&ErJ&0`_ z`Q+csrSZmgIpcJ80KHdHjl;o}ucUPp=p756{)55IghZ?hvAhb-W1=$MujTKdG>_NA zt2n)WIhFdImJ91k6&r{;H=Cz}v#d_=*DaFcQeB*1&jMGY_hMbkM$JY$ZXeTqR<*2- z`>EY^b{hOYr*+Em{Xpk|fT@X&%V}Gv-=~eh^_N$$AL?#DQ~W*aWB=q666ZR-Dogi4 zo%>7VlRY^c;rbQDPr*li-yV6h)qSy!l+5|P#xEX}|8W_s5l_M`_{-#K;QWAB0{qu* z0N3@S!NvGkuEBq@sZ%gkp?Jtd6IlXK~ zzgrM*6vk`z6v8=EZ16$d+OmD<{#B;vDyJ6%Z=+vct_0mj9?x0;UO9~NR+P@S>cp7U zso8q{gzoR`US0U8D-W=~RI#q`H+wh2N6${)>3n#6B7DT>XJ}qVujt}@c-RXX*XJXV zPq}Iy?#tqZMm!>L0esl-JII?|LjCHX8|YVjmxAXe*@M=je)b=H^!*wsu3wpF6a4KM zdOu(%wN#Fq?MXTD(0gOv{`GPfk8JV|{hF&CQMdBc9Gb_XZ-@uK1m{=(To0d>K^U*} z3P3!p!RF15>!)?Wg?G+A|8vwj$HmZU;3|0m>R;Dp$ZK>Y2%?xwg zrqlgb2h{;r5hBuY)~Gk-ZG98srPI)_N(`a#KI~6Ep?4=cz5c3c&b-rkPc&Sb4F7T`963=%q+|o|8a9mr{{a9Zso&&P!Fc; zrY(+}_Pe2%$;S}Csr?4?qB5p{^QB|3Un!qm6i@w@=vU^V-+hVO<*?t{R>P1VHv9y} zr4x!^9m!d=-sQ{P=vV#TF$Q_y=cwNbS>SAGJn|z#u7QhHC25@oji2Q7wiun~Ss{OL zTV@FKTu{BKF&5k$DL35d^~HRM)A&t+zdY2VKYaS;{H}5SILgDMm%SYqK{@N?`ap17 z>TwUpCCj=0uFS$b^3l24`($(Fmy7E2L?O(VivI%p8_N|9&;Sm zpPi*RM`XZa>AC0$E{9&Bc^uk1 z#K-XrdfwN^H`2O@4-RnLZ0tkxxH^jRd}nYK$63wa!G+gqaB(*x&T;FJ^E~41i~6?@ zp9iKo{pYm*$jVzWE_1yF>PnB;1|K$gI^tpbJEETXr*vM@>)T_z#9;I(Zn#X&?@E$1c_Zd}6WAm)XuxyYMrb8m^`>O)#b^3^tQb-!r>@({U| z=J8HFa5J~xD)|MO$tV=_1ljlCT&X^SqeMHW<7`<;4djdlp zSJ8AHGb47<`u!wml;iyFO612JqW}A=*AD|77h`%MPF|kk{XQ$G9C^SF#o znVFicw|Nr4MJW%e!!K{+{G%c%|FXe4%!}~MqIo$==W71PD{xhD(hBFpCg+@g3ho29 z#bcH`F2Zuow}a??o&NksJg?~%lhChjQV{jYU;4q{j;8k#Hb4CiQ=3qnPqhD1ia&+U z73Rs>C^uetCzg1AU&`ly#|JsCQt6y2)_w~v&lkczEQjaRb5JPVU*?+`PR~Xyr+JKQ z4{nZ`(@Wsb8QduTt(pmVy((@s0CW9j$)_S`nqwdhyAreS6xNsexFPiRawo*Y z_6I~mUwzhT=obw{zq-qdDUREAqfUVj&qF*t9Q}%uJx@9=C*MTBHm}8a?aYzrSJwLk z`;Zwq2loY2cQAbP4cd=+R5YF+)j7Wt@Ojbz@#tH(=evHD-;LwonYk%%BW^8n+_tVt z!K@CaNPJ<93Mk4kg35neZMNv!87S)Ws zv}%dvODs2HS9`6+lXIQ?1<$X~)OQ;;s7)9Tl9xM-A*ZGC1RVl{yU?)U95%x|}Hg zZ~x^HLg=jXk_Y1heDZ(hsK-}>ho`K$h!{w5IZuICZ7 zdr$77T~6e7QSk9KdR`QJ%+FW6k9HfK>EEW}O=@?;;{QjVs(!Q6$5IwIazvKLN8E~1}&59D}M@9QPYL}HV{R7ATL+$#?#Rv2$L#pkgb`ctXpT4_X zZ7$HKS^W?DwK{*9+HH-d&G@PgDPe?q#L(cs_C=;1kk9F+r zmJe{~JG8)_~ zQW5)sUQlKxaWi`?xVkzD+&)X14gaZOtS@>5T(;@~y|-W-xX#v{>nwI^80qzf0M<{c z!SmuuSmGiN=hN%_8Msa!kx1P2n}xd2r}`p4_FjMMOT2x3%6idGPp8QpvkD+%zM>4N+eK2va?I!3=(ak*XDM!A8{?D1r%uVZn@rn}@*r!<#;xs*e8%uikXg2a@;%af7&)K~a z{A@1hy+LoGcZDC!B(C<f%kc^iYPCr=$L;V>E$H{F3zTKy-nObjks!?8$Ryp8P=bP!MgBvUV~nCd=9QE zu8bnRzBGY-4({iAo6@Ks_^&nKBZ}Nc{QB5_tW(iKvVY~Tm|wn=M0zi_I`W_@j6?qQ z*q8>y#gLiscSoKgZ(i)?iNsyUHQ?&iJ^0vr4d)Y=7nZR8w?y_IUq22$dK&!Qgp1&& zLdsX*BZ?y)``rw_=Y+no@HzZ5&r9!JsB^Jv^c3PY&j4`q=X-Fk$H{TfCmz83x>j{@ z?&!x^=lf>pb>$y9&U1ptm46M^yXSQP*V9*Wy&b;O3jTdMf_qb2ay~=ycOmYYJchqF zv^=<2GiU?(o8L~d|Dy)Hes?{?{F>1M<5Dr*!M!WBV#&w*G8TGKxjB4X(BR(0b&GZ2 z=I>9KAKQWT;v#)9UNLMbkGEc1aIyafjx&|_2XU_-`t|md2Y3CpK(97F!9FI3e#HGA zst&GqmcxGKs%?b7`hEiL3;Nm0?OKDx?Vj{lpVz;*n1 z?EfO|6vzMTWpKIw#Z=OZ$sV|F(+PPNfkmw}i1a3M2e{p&cpmr8 z3j=?<0o+?z6x_=>;?y@to_q^^nET=izm2C*4Fmc6zJH#8s|B7?)dn8r-}7 zG#Wm+n{z!p-p~3htx<=fO+9dXYdFpYufx1>(o4hpiFfuK$FsdG_5od_Df>5=0501U ziXpwb#oQ!)%Dht`&K;F6vtRuT{hHpTxE_wCV_dR!0rpo(hI~Yw%iv~lC2%|8A?DYV zJI#6ct_!$saun-P-#Q8|?#%#K33H+Mc1AJ(DLeXAjasmNejKmU9B+|N_xjRiUy6Ta z4~$E;Z^!H9P79oOdgu|3XKr!$%dP7}DNg&rUXCZAGRIjvI*hoU#rF!Y=OSK@Gl#^2 zFW3#ez7Wg2p5*$8{Sf_%?P1{Ng9zxI=?cB{4di=H=Z)ysyPE~v%kvmq`}mB4f7pC* zcl8>^CAS>M`V#)-d0o_Lg!Q6ZT%6!b@xSg1E;ssMed)ywH2J9iEoJ?_CRi`7-M7f6 zUiK6G)u(w;CpPcN5Yjut`-vJ-m-T&jbNxpRf?i*a<9=sO!@TP~Ex_&if>`hN)rd*t z<1OcYMOrrO^X`kZ{uHNdUJUWrR(wCy!6urx>dxnmUNjr$rZ=QTZ|DQRgkJTp3a(0h zh5Me_!tt9V1AkksEY2_4@i5{MQLB+RF?qpa#1nW9bz)a={zdNgvE(lb`NLn=>xlfT zuo2j2+|2~;_m{CeFHh4-k&m0n^W~x%f_r=VAkX5Dw&>T3JcoGn`|{Wy)Uiq6>hCac z@3l9KeC)+19OsGU7?*63f;`)rd@iW2j_bK`4E?*S!xYIt+>tDx@C$5?+uD2X@ zP;Z`J5exsei#VRc^Eu8}2az8ya47O13YSGZM*p{weB_w598Yiwj=yQa@5x7=o(*nS zJU~3=)a{AH)%C%M$JQ9n@fQpWCm(nAH|XW#=FrQn`4*DiySE+vdLPcXNII2g;wI?R z$3m}%b>R8kGHwWXbH1O8)~67^>=Uq@eB|^c=-0S8s9PO>az5#8{zP!ER~e7KtGof0 zKJ|>XJl;(lzs$L16>(X<75fzW1M6L^sk@Z8IQ|3ck6y>QWBM%tx2HHiy3<1V>z>;O zlHOHqh5Va!?U8?(`(Z*#23IqN@wmduAP?f$^9bTP=oI|jqbkU=IJh{TeALThh{s*o z!1=85umf@3;w`vL{t4V{UQvmB+?mYty;~6PS9N-fA+ECLW}hdyk!RWPvpD!f@;Txq zKS2EM<;roy-Lme8)2qK8+$-@ZuZteZbqTiEMI1dLGB7QNxTzTT+@6O<+)EIC(?P7Q0X4?>O>D!li(gEaIZ@JES z+gT9Y)UJ+uwYS(0dYknY=F5!@X@NKci-NnFhrs3GVPB_Y_`C5pF)m$-e`hlD+V=o2 z_bcb^)ZypEn_O>dWCiXw_~)+VZ@wIfcvO7m?`5Y3ttGB{^ZiFxS<3p&xq^wy zhrN*>*Ch+)#V*SlOa7kQj5t;CIp8MGB%I@J;t3vCcxlv?{&Rjj>Ghyu@R4_GLa+A? zVxOm_z_rg7#BW+ZhmVYV&f`rl$MbS=z#NLl6>ATFvE*BDc{_U)_@;vJQT2ASJ}_H< z>R0(Hu7_5AvF=>u@@q&hst)8hhg8IPt$Cs0^IaPAb!&K^$zLvxe4L)jaelW2{@&6j zLEwG1LNC{y0at5=O(7pS=`ivv(tBXM;)m~65w{!i!ABeuT>l>wh$bIfH5a&fQWaco zPMk(u&B_Yy^&Skanr}sZ^Z~vfsuRC~o2Qqc7q{*p9v9G#$J=XHIQh7}Dd4JQLFmQ& zT;qxBq%Gj02;YBHP&eq+?G@nOc#cz5E;oVnBAnlU&GXFP6F$l{j=1+<5b|u-x99o& zx$aos3@&GLJ$T>nc`8%R4RUGGlt32;f*Zj#x?&fnxt2f}P#_G=Sne+$r@>%Bn z?bapSLtIQS`ZZ(D<9?+JAH=!iZk&PMmOcj`r?cb!AeQhwO;7&^`BC@p45EHrxn`W_ zyE`%O@`c|r;ZM@-d&@8+B`PZ4V$WzsS5#-Y(1Yp0D@<@D_Uzr}!}fdRe#HB;szv zGv0@fBtb7`S56{sHkE?ExL=+5)3w7>GPoMK3*6oUV2J(}x0@DIFaxxxJ2s?Ygy-B$k{ z_2At&jd7_yEy2yfz;N;r-S~G!TWv77Ol>e4{P#fC?@0z1H`eqZE)Vd2Xe;c(zNh}J z6zNMo=VOr{`Diwe_wQ8X#|{aFj~qA;^{;Mq2_d~2xDDLYO9r=*x4RHGBlz4m4-&z3 z-#-4-uZiHg70r8rn?)Pi5m!HiAP;hMG3LFWe?eRfTmY`?{SR@v#9tNkLnrb)#>_;V zO3dHvOFkF*y+(9th5XCkd~v>rfE(~Jllk7O5Agex$e#o2%X9quus6IH=EYvA2(Gu6 z<#lmCaT)ciJ7otqMPKl|KN$qB#{30;6*&@m&p#ONp)#!|^mbo0u7}0#SCEgHnfboo zstxndTG%)AF}|;w?AFSU-oi`q{)pQ}R9uWt1ql(;)q8UDJ$Fpj53 zy>Rfg-MQauoCj_FB8kh@am*X@J;$B<82h{|bC~^y2Ea$u>kWVJYBlIxt2bxpd0Vpo z2>73P2EFQA5aTj_YjIDL?RvBS`mEsU)qwHPcZvX)6)S^_l>?%PoAZ0w|Ks-PSFW!a z58k;U^M77rf0OTu4u_AN3vR!f10Ox(r+LJ^?I`5OaD$XXozUMLbdk4Lp z`;gD&jX5~}4t04yteg3JZ|OgvH)b-p%C!vl7MJ4=xSS9TF83zjoRYKJ!pGFj!~6DU zO^^rkDc6q*IEwh)l1?iTzc1gzMcG>5Cb3r%arx>9eB_p?m`Atk+%#W`f6W1ozk3|& zRvq{h=eS;-8PCfw_=uUg=aG*Xe~aVX^9l2DXJ--j@*ao3XnY9!iC3;Z=2xYLvj4Ax z!9~$dmh@`HSJ10Yl@X6w__i-`S0@qNRcs8ddnDj}->$x%T*Qp<)U)QoE^U%!t@oCbJ{7scj z9M9W>Snsy#H9lvv-Gje8{5#L%xoxN`*@gE3Grl9nYjbSD`K6k@=6K#5fRA(?4dua> zE)0JWefcEyr$)CJO`js>Ajji-4f(Wp%3$4zn~M@juU@Ayk7m6qH+~d&498PQppW4iuB+z)k$?d<=@TC8iGnw#f$|0ZznK}WuKy-UY?imJL6+yrM~9+Pt#`I|l~ z*uUs89#@fnQ2*-3+wAYRiu02sLP+nT9)s(p{QpYQGoi%o(|6$V?EiRN@3)76kNgmM zb8T{=UvJuI+>5*~KIJ?o_rrRTO=`kl{Sbh4WFJOgy*rtEyD#;7@IQ_xDG~lMt$Ta; zU&;v|TaNQ4ueRw)+}xkf@%%Rk=cD=WI@Xs8y2w1h2i)uACXrs$TmtSb;CqX0odfkI z>T0Q*<-0!_wnfubTVBZX`8a!g3Yy(jbI{8E7(}c%B@1Ar%MLK(X zCF)M@^xafg+%Sbc%kz0HehlS#pWM0xwadZN(68E; z4eLuS%FcD(VFt(ZvOWB5nD1ork#%N+o4dQPuI<2h+_$|1K4-n0wQ!!Q-99tOUzB}^ zcy#g$})+lOyfAfBC9;V&X8SmgQ3J-)90LrNne9|ClBMErt7DGYg3B-2RHPC{sjNsf(wkqcBH3@&RNVP3EveDtc7 zSYPs1TlkyrGk>4C^-D7Ruk*ekKRbe+R?`~&&BDg!WHxpydhyi31qAnskQ z0q&}Phkd|~3tdfI=BdQ_FR&Q(ZxZsXA+Ek{&Hi)zJ^HRol|h`kKmXl@^l6T9+2b=4 zQZm|Y!B-fU8MG)f{u;r=)fowYG2$A}o2$_VK;tWkv3H>qnRu z)!=Fb_3vg@0C)EfA%6WZt}y&JHiy58Ny2=|86_?0_0ork$NKI^{A$3J$;4IbaQK)x zipLdIb0KllW(W7%=PJ$%^$Y(!hK}L$(by6k&-xnSq!+%&;qTqc3+}>xnLu0)-2txa z<^-4C1mw*|XG5I!-y6Ko4DeY(db{Lr=vA#K1hvfc(oiek+}1X2DkY}VP8@Yrz0M31;3Bzi0Sb6N+i#LzF-i~SJN|GS5=B*9jV;> z9-#(oM;&^j;v-Tr{Pon6@Yf6Z9Jhb0<^254=cegjn9rS7N%;RDSK}t?(YCzQ%rzb3slBLp)wkD(czmJ0J1OeUq3U*~ob= z6C6lB-t%S5n{4NL8?q-9{?~b2DtZ*>t^3ih5YH(7yFyW69^#Qo?U-LnA%&&P_U;*jvd%kD7t{VH2{_0W;ac?QF zU)B9QeC*eSN5cQ?MC3=zsDu2g<=e4-Ww-L+ZtV@!gGFbC3lnI*$ zQ@=8n<2RKy^L|^q0@u~u^&IENb2*-VC2)W6B0|7*pN<%>o|!Eg{f^~xO-~ELyy)cp z*oSR&Bh-U?vXkSK)mI|^j%o0*69b@EpN8`NVN+M=wZ9MM(W^b^NBDP(Z||+(-iq3>#Kp@E%-`1o zHyizzgO6ARt}fO>{dl92zx2(JyDYq)$TF$e_uSP+If;vxjS;8$eJi+(So1Y;6FLT5 zOy9=(miI8f;=~Hp%S+&1@f^sT^A3P}J9cvY|MhM@`N%Wh@_zE9Fvcq@xv#=iQb;#NFqe5vLba1aW!`U*X;&KhJzGOHMu`oN1w>c>*XN-KegwL=W(U+-(lK)A-JE&H;JsT!S@R9V)1Za z@(GXNcnbS*-jXY7;;PGNa4&oS=cj)MtUKE>v!27oV}8wFMQ6dM+9J%0SHC0A`;fih z8CL)Q-~WRd@CKga{i1QP+f*N}dG|>Cz4wG*)Q39Df6wo(*yxmuc3Y0`bN1Fv)RFGf zI+nOMWf^=-@!rgP`(r;8sX^eXcyVw$X&lyy&TlW-kGc)cw zeY)A#V#r^twI}Jj_^cPWH$Q9jZqd zHRg5p`x~rNb@%--;?{@%AH%-u6i0fME#WWXvf35+%i14do!XGX@VAj!u@8yKf8$&* z1=jx!eFwhhs>Z|Tl8^1V13u!z0*FUt|1F-lI2Q0H>BXx1ypHq!yMVaMa|m(jl#gyv wyIMA79&vSV1^iW^gXmXof5kpgZ{V-*FXVmE_bBrz`{8fuj|A5fuEnMN9|SSdW&i*H literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/27.npy b/MP_Data/pose1/12/27.npy new file mode 100644 index 0000000000000000000000000000000000000000..cfd3519e2ec8f4efe82e84aa774a6a6813769cb8 GIT binary patch literal 13424 zcmeI2=U-Ph*v8{(>#U;=Ts^Mho^=nR6$gr~dzUy6C!i=p1mXe}HwYG2+_=TPDp90j z-Qw126ld$eQLXzS*Uew>ynPs+~W=T1(}!I&;RJ%8z&g9Wls*P-44L&mu_ zb6i^tYvNkdaUJG2Zv41GzFvOghI(7xZqVoe?<^iLe2~9)*6*tI8a1k4vsz6j%=zE` z%f}ewRp#Dv%etD#%GYqc-SS?t{r$(6=k~V_E_~l!)yE~5?Nzp^o`Lqp)XqALruO_v zXxI0t-DyJY^1H)m7jrIC`z&e~RjFO*>lyIfyAkdD?CrbOUk#&nzGpDnMZ_tzn~yiq z&SiH01v2mA{*>2fmqTw+dla>+wC^9-b{!pa6}r#{7p=cjo7$ac<#4~bmjmP1|Li?y z+x4{U`|s33{PNh0oA!Plc+1#!xh1>(!y?3|I~4rOwzH0d(XJAyou5Ac*m5VZE%K~> zZgSk-&!&DxepQ&yE!(aWT+k0M_OnKNX}X{J2R=o6>dj~N%GNbWvF*a&`-%N6UbViC zYk?>56L(JDvhC_@VdzEUUAXF?#Mf5GO{FWgou|}6f96)+OO~s9>XE(b^ss+zyXkqA z=KrHV#hKdpjcw}`x+^Vh3!|04fLdmnFn%ix-s6aLPNeQWJ+Q@8J2d(~nX z?&oJWf3m;Dh~L&E+xBYtYTDmy^;O)j^4vzdy7VRioS&>&L?`JO8*C4L-9iG{C=kxA6_P6O%5AFJH;IU+@ zyRzdS+pcGh#5^lq0`={DT`b17E7coZl)ORp*W=Vm@Fu;$`PuLr)>lW0g_i641;FKG zgZM=AnM*8}IlGa*N;CMd<~cDx;*vYK^Suw&rFwq={!T9A9tVRh5X<$RKH$ow z2IfWVFRb9xmGbH2tPd{T2gXA`d^YNW|0<9lC+}DVzm5%&A5k$Ac~)tS+F89^!zgdD z`7yud)6JhP=l4%yUUcsgH1EIqVO_9i5#X%AY4R!1Bf$EzC4zh!9s=hn54q*0@mRy^41^};#Go0wRe#(Vh0O3TIA zywJ<#AEB2=zmJA~XgwNlwOy!xS-03E>#t8#r+HK^R6mcOFSMNJZ3^!6rn=H6GEle1 z|8MxH#Un|d{|@R<`yL_xMn}MfYhaZ1apLll|I{nsI_ei%7h^J@muKICbLBM^@uY`= z^S3Efhf~tMESGC)P&^s;5x+XSpVp~Md2l|f3%K}ldzIA-QH%2SC>Z(IH@eof+^m}k ze|GsL@}`>xg~9*j8gS$KH+;;sva#@)lK`$-$ALRV${;^1EeifRjP@lyB$ubv>tV$y z&T2ETpNIu7mE|mB56w%*gH-2lx=yoP#Sa5_3`3mGZ=u29qf=>qKQ_Q~hhHrl>z1V# z%@ZlkS)>;)S7QD06i?!bD`>pql76y2a^%kx|C^tXPc^4b7t2kxm+&`t%Y$p5&`s7~ z_c;f>)<0sMvU4}*TfKhs8Jr*LN$Z!Fr~NQuA@#ej6@1v2zxrA|pR|GWLA1}vBGDr( z7Y#U#x8ZW+LDZQKu4iWFzg`3QJKNi%UpcS>#gn+5^lPrqus$lY2=UZf;AZSs*splX zCit_N5qREn|7t!~Z#Lzoe)AjTQ-mf>bhB}$-2>-mQ_}5k>H2sw^tE%6&)-cbpHCi) zhkn9wZH#n#Hqe)1vjPz))9|L2bVPsxSYN# z68*Z|1{VW8DgTF_K<~_7LHde~DbGQXL#$rR+XK!M+klIipHV-i!xqvPElGOEdz96y z5l_L5|0`NAow_BU->bB)&F6=RM-=%Ad2q%R!MH@5%f#RApAMhzTY~erR2tW@V)Pu@ z-vHcbe>@ksTY*r-d5-oIUHJy$F(K*n9O>Ge@|G4saW*-Id1Mt^5HD5-Ty=7Ro^_&r z*u-9+kbd?Zj7!HY#k@F+D$siQ zy&2XE-&ixuj@M}53t-R;Q>8ARh6En9^3pa=c${amwO`M&!6T+ zJvf_E!MRvP>&q`RA=&!eyMj7lzLbAibo2uF`?iO_)7lgHcXr&zKBG#+Q~Xx~!CA*f z={QG+(R^{$heY6bvrw&KQGuLSKOEg3B>35x*CC z=7}#5r+IrA@vHSy=h-;r&Ekm1Y;vXiEW9((a@DsL>P;S~P4zZ3pMrmv#gvCFF^E(5 zU5WfCuQBj=3t8d z>cvp&3 ztmM8t+4@hSdY1ENqi#j+oQtepe5Uylb;{!WCffNb%Vp_A%I6m4=+i}TR{jzhT zDGw24(J%K*2)A5*xB!2aw<_hi&z>0T!@8cKdW+qNJm`79{$jZt{s~-0Z3bsOPL;Gi z{4aXG>kMziZ-S4Fx14RJ^QZ3c4f4!fe_d#O)DJ}wCyRfE_|<~$A(lHG`%wP$HeJ-<^GdbTni z@f+{os#?yDbOks61Q5>^+{bdcWEAFtHVdH=z)ELREc(DV5F zm@gHT&MkMQ6$f`xkAcf^f!&g`IN$mJ`7~+A!Fi)Hy)9=!`zX(=pOJoGjpon~rFt_3 zD^NUR>-M((y!BYbBMSTmeb#&1ddrR3Og?D|6z5+@ye$_G`cwY@U^FlM&3yPb*@iep z{<+{Hr6Zo>CeK;QL%GtZD^oH&#_Clloo~gi+R$_Fo_M~<5EuCCYuhOPPaomKhrUHT z`f_>9i)nsxu8oJ??@a!?2ZHk$->HbR7o9ic)dS$--6UcAW$vxvBkl~qx|6MbTxa$C z8+tA{-&DkSoxM#4S#I*t_dX|WE$UqDExOS9$XrnrXNT?7Z})?=Prgq=JgWI6>bK~* zY1T)TPD7r}#a2<%v;NMZZ@}5>n&9H=4pEkiqPeKw0b@wN z(u?xrPUmVCnGDXN=R(iI={zP!bjEnq`tqUhxug*%Ur*;8RZ50{Z>0ETaAEj3kB&~X zTt8CKoAeySV13FFnn?*_S9A0Mg*C9|KW^BUp# z%S)|>kM3<~-eaQLTOTu?o;!TqJ8<3naaZeO)}Mf0c78+shW5ib#95U69yFKU6Iu77 z^R1p;&OWDwXMfktp9ALyHI&Y2^2HO%&;13%ZNIW^Gn$vD`!MhPbBkq`JBsowzwQ8T zI(cHBRFmpJuOxjpkn7sUTRoeej5vAIE!h9LUk=odlXDvRuNJ5iy`l^9udarXPiIEF zU;kk1V_H@LXSEA~t5XXwUUiql-)t&~_+@SP{%%=%wQwl7dOsQKPMmbXJcLRzdi)wb6)2415)CW|@2yT+E2{r1^O1l3_#(!|&b0v-=V)EC zO)w)|RWxSa4PD3dK1)!_9IQ6i)LPPv1${->dN6B<9h3jTzkr`Il>5 z@q96V()S{#SN6HLU2UvW`F(EGEpMCs9cIhVm>2$CMR47|EPR|v(`X-SuTIsZ<%~QZdmN^QBTM zgPY3zv_G>pdEE0yN4euD(~zYM!?+s)G5s2>&5dA9w{Dougjbp96c%Z46tR&Q1p ze_-3?g0dIwRjnwLXs_b@3(CXAvFKM08W@Q7kSg%!9;1oBnlaIG-oF>|&%KCW&X{bu z>AV13b)a(&ueA#20kbC+{$g%l8dvdK6X4@j4SII=-6i{5E`Kn_UY&-oD4yMgXk4ii ze88{vgI>!!hbBg8asRkFmozSoLdA87Up3#`}h2LX;Q_;Wr zTCS7kfb;M<)NcVldQQ1}Aa9~Eo$Ji2?>0juz%O&V_?T!iHam}e;&)ld({V~NO zIm@3-Sc7qKzX#Z#Ssi!OzsR>7oL!!Y{mqOkJlpEcI0J4Teu3U3KBwpM;IH6srZj+F zom@Z3>cyqw(Chb8!1?aQ(=B%{KLVG#Bf-V{q#(qTqZ5s{WIpV}rvC59zxsMI#nU(q z@yq-jS6aQQLUkpl)BTPE+KZ^4fIG<1|-ToFXx0SuJ(;w_#eDIHNi{A?mUm#cP2vRp*}0UvYp8pdm$Kfri} zRN&&73++o$9(aE@yX#S$bLYZedYneTra%4N*V#bzqepKM)}M!OhF%^$j`c1F9}7pn zNsnnaD4rv!@G*@R$z(gOxkccwtKB(oeNCo+ z0IvOxft!pBUDb#3Pz*BOY0!H{#z>6kMH(0C$|t{cRqcrQ6`|{Jk0eA|@{0 z>cyEG;3|>ys{Gsl%T=#~;4ESe`Og_H;XiZ{@jvK1&lfk2w480-4{lTo>|?CV#tD|| z(YwI;V9j%`JVja;Ip3U$2pPxccrT`&~ny<=AEZrr~FLX7h<`&ksov)|g!Qg(X6|&$^5M5X(zt5<27gh3bwNBiz9F9!${XWf^|M^> zj)7k19!~4)%N49I(UImw?x{k2#rX)Umk)n~UPWe~TN;0X-YNKj_`Vz1-^8q!m91Wl z?1p~DcXbda&*MGR&H8+K2E7oa*@_=Xe?AcTRMQ$3fnPLzKM{rUV10=awNU4J0lhDqXI4b_0CO zPtCwt^UJ}OJ1h1;FJ)8OKil}tvs{#22EF{YG4g5pZV67dJ{L}ctA`zsHzOO;I;zl! z>f!lUl>a`PSD@c72L3#$Ch^;!=s8|{HN`nK9GpMhG}Y?WX*Y23y9Aeqss&o^6#W&nMgPT$WvyQQoR8rg=GaW`Xr_g6Le~ti6kVWy`gA zZ&EvGJ(_)auwI-aC3adpD@OZ?tndjwta%G*IqypQiPIsL^04Z`l4Q%9eL%m4ccp#c zP7lnZY55LZ<@p58SEsGDKBlP;jkokD_^?CKn=BWub->jLZ|no+=l*M;XH|%w`3?2Y zmfwVrZr`5#UFq-gvSoe5X*Om5f0Yf*FfO$+JkG|ca?o?ccrK>+2OsgaoFzN(ch=m& zc%6YSmF-vh&^bi+r2khYRtl=Ou!`uHzb}G$;Yp3c5vL)ZHP5t|Ki)|`sCB#qE-QLUCVWn<@(u9(s%!gcvv%OxxAVSaq7|!D9;}+CZL~kU#AJ;F^%c(Q{w%kZSYx0=QQWfbm&!eLHpP_dX5;M0(kDI3gspz+c?Y8x>KW* zDgPJN;k=6&zgjTi~lxJUA;*fY<={orNrOTcN^2MU7+RS1dU5g8c*>Q+uGH} z!=DvFzdD`1!^^WHmcVCYAL{qmUidpLuTQdiv$Pb(CFYDo{Wy7D@qA&6yr|y>H88(y zM3F^SuV-!t*9E+=FFAJ~&as@mI}5J1U4swH+YQfgJtG|c&epofzjHK>)^E52u7=!0 zJvbZk_JU7DSBhu4q51MXJI*c3US7z4-w)aZy?l9WsO9`}59sxelaOcLsB;<1nQsd5 zL94)Z?PmCHAVRX=2Xnhq{g=Oq=aKR_L*qS8-)Wtj4KXiH`X-9=<{ZQ$M!iBkvmSI_ z;uSn;yoOCjoEMivZ_C>yAuFN%ed`bTa+bgTK<5Yb$2?kh?XE5c z|K=vf%j<0eH!tfiuv~tia}+O9pLnCT%fWZ7gr23=M*Zkf-P^fY|JK>(@G2Lu539ZX z%D}&66B<|BByjD!;uouz*C=m#!A@}F6pFrOadG71etdDryfcU(BpcgZS zhFZ?+(zs-f>)=ksuH&KqHTyjFVmJ8*_4TuyJx)M=REfFZs_k36$C(S=5GRYLIN7}0 zIJbyf*C?NH^ggcK*GDJYcv9wo>#p?wyZN4UoPStO%D?hkgLzRIDVP@)5D7gm@E^@r zSHGp!hc%<;1@}A%E=rDGVmV)N3VLTPeXlb)w&H!wT!PR4^f<2=EQN1JHt^Z)<;Z)U)0_Xzs}t6uJrtplBSYCQhGckC#tkD~b> zTF(2H#J=Y&aHo3up3e1r?IE0_Oq_;~%ryb^rT(0S{m|4J3$9Mk_W)MHZH28*eWXe{ zd|yYSe%ZF`RJVN!UqBqOGc)YfnVO074?F+(JoE$U?`*7|7p=Qje}l{KPeadMEK|u@ z_c6b8aCVl?q3r#4A(r#U-=4ERdTMRzx8N@N9(&N`jOC)h9r*APPK?z{z4sLO!du|x z$&z@>S?g~po?P_a!$0{(S*|-BfRFy2-b?gFH{^%aO@fc9PTw=k=Wy&lvWMGA>#yP- zA|8HbB>ATtr8u_~LjJ{otqb8Fy8`~Q)-mjVPGX})maC^v;jd~Wfb-DT@Yh`u;m;qB MrTy~7;MnB<0Vx#-Hvj+t literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/28.npy b/MP_Data/pose1/12/28.npy new file mode 100644 index 0000000000000000000000000000000000000000..08a8208dd59ca2102708d9b46fd5ae701cde9419 GIT binary patch literal 13424 zcmeI2<$qU4wDkvf*P^EsE5(Xilfm7JOUndzNkRxDgn>YCf&{mL;9jJ`Gf-TM7K&t= z5~LKj00nOL+Ijwg=k2|`IiK^Lb=K_JvuEa-I_Ds?dvX`I zkGP6<_5a#W9z?sGbA#JIBtKt;pLZFq{SANrEohgoMzjC0_2 zcY@m8)X&JTS~uV>wd=xPah_-9jiq*7IQjX_{!gggMc;i&SMy-oQEE50)xUHv%KY#r zUF~oGu-`Ltm)iA^^sG-GgR56_(`(YXU;AIDcAHR@`z@E4iENX336A#O3=0IB-c^AvicfJjs%KjI|uNS3&8Xit?kbQ@b(6@x1q@Un)uWOLE4MuiJSzp4x4hL_9A8 zgSg%AIO@T)D}9OD-OIAbv-%-NYDxOUHc|AvPE+YAwabEs|Dt>OO%1f0_eBrKCf%zy zy&hA$2vOG`XW%;avgO45czf%C>um#gUHYGfzh}M%HxCB?y*t<&dC;%E!MIG{WIk&-xL0d-Bj;SpS3vl12;@eBQEp#bHB|;g3AlDW)OD`0>M@28E|vBHuNq7bGM=s>cnpG8I68> zcVPd$IG`g-8@QDty(!+##{5|h?xt=4>>Se>m z(Esos@~@9%#Qdrj;cbY!5hrwiB3AK|qKAnvW~4u5;+Ah>MU zUJ^Iw?m%x`1m@99O)-M}RrP$VUp@}pH47g|+-%$ky{x~Pd32F}#9f65aIbX&xC}2? z7kbqS+*WMG^*JU!%$NK}ZiByyZiscJQ-SW>g>MtJ2RVy{>cs{_@d&_F24PGI6&!6@1j8%iwm>B&-Y7?hf?U=OwsN z^TSDR;zxmtHwU>smrYgR-3 z;G%p{aQnIt){73P&3W6lgvWb)!vNCTXDivKMav)3T`UmwtjiZgo#=M&5U0+y3EYhz zj{RRYInU#&{wJ@Cm`4%Ruif$|xC>~BJa~2UVBOg?i&;Oj0`e*9m+Vb?QE>;jl03g^ zexuRE-II0flQBE%KfV}5T(y1#Zacg|-Rj`sOTgoJT_>G$h{t5AJ|6zje13WRE^+*Q zpG<;&X?2X({(S^oEtaT55m}z|uzLv31u?8c2*Vn|(pOIoi*zh=@W)W0n91l+5dE`a>y zm07G0cNmwbcnhV1M*`hre_5=qk{=f@k>LDcJ{lace&Mm2;yp?|M=#aN8v}*1P#< z#yI$F;C}VY6xiq0@?O0tPQ5fI;!&w?gNy31lZd+?gE^kS88|n+f-}2A-@hUBE~*5$ zz4zO2@CqBb-;d+qqjQzS`K9L{0r!HVkvElQ$&%P4f0g+v>crgc&iOAHFo%3(h5GED zsVTTA7>9jET%XIlegL>j^X$LFr0>M@rE64SpUPj5XEnSL$2062#}og!7xin0hj2X0 zg27FWYeR^;E>FS5{FNA&YkiILy!#37Z*BG>emP@oB;pLtfq2Z(Z=jdmUXCGdPuJpl zEAc(*%{|L+$Y1(JaXh)^ah#XWAU`V0Ao$y6c@dASo^vbtcwh5*p`Pbs9+`gx`KT6? z;bY<-b3Q-c9826h>&x*}3F3I(B!rNUZW#l;J6Z>N*D}W<((BZ_IRD|Hw@D|%qqfo2 zr3r*ym1_wfuj$!A;8)_ob@|JP-~R5mf_zkyVw}*Ja@SqM;YjcX95B+DE}n9X|KX()sXL8xjV< z|GW?KuNt&K{%zvx1+hu?GO9nvA5#GR>Qc|bi0cX$;jepr!}TyVb{_fYJ*N?mySfp1 zu*0*oAuiq}f~!_rm_OK67(N4ezHEmc*eC7V^dpI@rTqRW)(YfVq-#GH{x!2APFea1 z;&;vSk0$PVwnv;otpk^Vov`Yu=?+5M`=)vPHPzZUpgB{mT zoy_3w#?Wb`R}1U1|B`!{FSl#DM8EZOfQ!6G!A+SlKgK5MUG8|!vpfc_|7zHYxZb`C z+!T2X?ls<1o4ATt2rfPpM!#M{xlZJ-9t=f1^6EV3-HDL(#9euQ|8eUVL$9;%>O(?|5Fk4JmOhm{-aBSjaTYmx&JI_sK11cwCnYpsrN+Me`^g6Pq1AI!ig|<&XjJ z(J^^>ejES7@n6Y~^IGP6h4^Lpf|wVT``|2!M=xmtf4#FSxGB^r9C4P+!f{6K19y{i z`cc2Cs1N(RY>Rd0a#ULfAD`avv15v1yedayKjLEZb#S$H9qQawE;*NcT()rdo7>yr z?@i6to464C{bjRW;ePw?n@B$D)G^NU)|MEr8WI{!+_p*2aTfZ5_W@V`NaWeIO9VHY4?wST#6T}oC4k!@O?bRr2Zg|Y%6@S5 zT_)(w-FUnw7~jq8b1(zAiYo!V2wK8?#RtS`d&h%2KmNVbZCL~^Y8)ShI6eLz5yKns z`kgs`ly6e}I`cXBh#sktPqC&0pTAR*-`oHE3-hl3`KvMc*i(G&*!U0NqCl!2$;XcV z4LsnmoIG3fEO?q$nCFteVKj34c^78vws}t;V@FDVJzb!rh z{TAT&Ls#qo;xtR!Ehnx*KC*s$Q*dvJANENd%J1!7WPWfP(s?22#eoB?AHEg)zsZ~* z^<&SD!~E(x3U%U5@*hol-EuUznDqtm$nVDlBc5LTyN5oNne|mpV!V2GZT9b%7J4rx zeOKQkAMe*5;35zIuB8T#8$&+s0O!+Gh~)8R4VT2tnmFDc%FW^P_gXjX!}dv4_;^FA z^E}q{L!9pAK3+$IH*r009#xZkREu1Q-_96>IAz8V#OZD=gO5tcfpbK*_>6UJ*QE!S zYbPQevw2S##jnS7W&PU>@DXKm_!Cz}Gl07k?YTbRm+wy8z2)~wFCaJO-OEv9K5?%_ za-2Q*_bAt3**NHPzU1|IWC8T1O6}Fe&D%Wef2{<#jcq3gvax^8oXLcdYg4O`wYp4d>WtK_#HrPc+C2p{?L2>b~B{+wg!UhF8n)#*|~2p zarqU0x4MBos9QT=6Y4>>`<>^jXI*f$x?~7^F3bW~C;NfBm2m;Y)$ktRcH?%|_vnc8 z!sh;g^(lYFzNf$LIl-6oKSUxwX3<0*Z==VniHq6((7ReQxX#CI!n_!@o%y_N%xk@F zM|xTBJ-F9=KDeHrvJu52eClu>g1dm5`;VFtH+_bJtJQhH<@96qh^q#3I6trc;QhI4 zH?G@yf$ z+OH(;Whlq}o@fki4p!lK;-+x?MLJ=;;*aTleUtPed4IO2#(tw{v?T9x?wU@-NmjT0;IR@7M%t zH$`K(t`1I|LHDWx?_=U_4#e+$>b`*VUYT6?q5n_>-*LK2nGJOB^?J_v>>hx4ybC&r zxGPm0{^H6Ia4{`r3~^b!1M|I|!CkHN6QFN88{FQ0#_?RaiT43h@)*ZIv>Wv5!RL|i z@hi>o&-ri-&;NLQC|&K77tq^P+2Et6r$-*V%w1XEHzl}gl^XGQKB3^QV@Ytkplmq# zh^Sa_-75M0|5c`W#JwI>z}2z$*x$6Z=vP0O!TQOw*k|u-oKvz|6XeYWp9c4q$81EL z7hXYcJMsCYzZtrOxZ7D1+>1$rI`m{gtRr!2CC23qx`+MQo6{WiZ}Tk%S9>O7e-nN4 z&4^9%QKfIQ-hGB%%EvgD)yEVZXQ9fxAJ!WmN_v^;H|X_>@!09B&dzl>&b6tABhC@G!Dat~ zSLoi-fH$wgB z&g(Ic#&-Ax{w;W2$g#IM59i-uyn5eq^eg@=i1jO5`r-TC%Tx~j-uhYacjYRhUpp{2 zxLYxm`R$Q@p|RZW;7h10>+wEd=C#Fmy~F~jEBE#- z^d{~Ud`y`LO?j}7vcX?wyLXBDGnIA((A6G03T{L0BcE zvQ#|uZpZiNS3IZ&y`K0VxJcZ@{Z_4rdGYS7fRAn25aX3)15iIU??sMtMr&|!`txM+ zx4T|}3r~UTh%k)HJc(hSho6uKo37Y2=z~1;D-T4netjgq6V;E|IiB*{!Bwr>9iZQw z1zc|&2X1;-{K+?|UtMP_{AHURoae%u7LwjQx(=@Hgt0!PcK~rO@>g(Ia0dJ5@2TM* zI2&9q;{P9XHGCq7>$khXMa|mS$GkYt>LK}Wh+jAP< zDfZSXaC<%_xEJ;h{AKe2Uw_`^ zOaA-baleuLy<@x9Zw~(tDd8j4O2nfM|JIqfSj_npvj*__zWOQFm(G6^K5AVla8df+ zIOzXd0Pb2f;PtpD6Y5RL_u$@V{=Lx~821h7o#nqnP?IYnPP6!EZ{H*?yLU+ zb;}^1?$9*EsWNrCOga%8!u4-PfZH?uv0l7(E3ke=%5LCp&kC#ySu%yBepRVr;9g`9 z&*Q1J#mLVb4@bYcc6wgd*{Y+?z2%d@?cBD!9^Z$KCm*qB3b^^sVqLo}qlOWeWs=X? zLltn2%b0sp$X{0Fb*i6l2N$`fECj!@p8IWGhxw{R?1$d`J&02msEz$o)!Y+FdhZt3 zn_OGt2Hl%X`+{SWuIj*P_W7m-@+Kzo`=Jc4f_jjpGC=P}UtWpl7R13{9xTsX7nnob zZde6w25a_@xP_j}Fb2-j`t|A_DtPtKy?X#!sb7na5 z=`LU7@9UqIao%PxhL3&!40-eParWtu!0YZBe>b`3ydLe@)L0kpTyd;N8MYRBlkW@1 zd>^1vjY{2~%Z0txUMm9v8Zcsmt|7jhJ zOGM9J5KHY<`5ct%79)N=;7}jpt_c5qnD_2)j90u(yNdj5Z+;IErQd>ki>IL8WdE#?PW$-*@@$@eSpxmxv(U?-6F3h)J`X1DHgLZ#tQok>aCszg zwc;C&|3GDM+dX15ahv`}&d*$5aFgZ*`V}pP@wj>^aM3(<1pNC|MLe>n56}D8OSco( z+Xp}|7G2|h7tF>!W^VC*ZbcTHJED2M@v%vI`H<`14n2ze>pi=%|9h>I>$z|u>cnlrZHr$>{i^ig%&R5m|JBdxrbr<6C6#eI;t^+SpCB0{7~iZwDUT3O+8&ZOo%9c(Ji>lE2IFh5dWv<1Mj}o*miI}OKL+s& zzff>hV;k4W!6!Z8b0PVhD!PaHCI2Ae-r<+5FB6D(#DdT^6p!4Rjpxxn67i_4GnSHG z{?rkAePkbe^w|5Mq*q(`eO_iBi289gOE!T1W_RdquX31Q??|!v(0AMhE>inpU-Iq> z{2hYZmAvlO-r)5f+jJP|?Se7LgKk@q=WE&ptRvH(^Qo>RpdLiz#SZYF&-<8d?VxwZ ziv>_T=0zlY%=InMtDuT~h>IG$PHon)$g^t~kM|JOmo@c+I#{lgQtzwv_w5 z+6(hy%ALhNEV5R|yy$xS5Rbg$@xGn;CiLo57p^zok*E{7wmtOTlMDBH0rxC`yFg1Gbye7ySKqkcr=!KiaD@fp{{_gAs+xywy5lHU1L=R8#2#rt8( z^KE^TxJ?}ZuAA&(eaqhd#P!hS;P&`kaIy9P&KJ9vzwcc71L#+!`!kC4V*gKE=O1!m zymIr~O~hrX_3Tq&37;43j$!{1K|vf(vzy>L?(;;_n@*L$W&S73m(2@-|McW>`P~Ay z75W7dSBCScX2h`nsnNrrPrDd-a50hK?rtu8$Js1xcpg)8oa*vZytnA%$@^Fx{vKB~ z4^59v^4Ddjvrl*`KKDo7ivsuK?@;}CJ?2FQ-o?D=CH%f^UVh;D3ZAlz^eTE8eB|!K ztnW5qDRDda47m4@f3FjnkK%jHyA%qp+hjp~ddvI6U*!z~7Z>>NFkSI6ct6pnqQF%{ zey^};&yVp<@;6ySm{)3qJeUyKgSgx}9NdiU2d=kW9Ef<*YMz(UV=%vR->qq+7w;E< z>)2Mz!zN4zr?&t5_rER!?&Eyy3#xyChg1i4knecW%LXE*CZr zBkmnPaf!H_!2i!?>c!3@E{neVow$CP?Qgn@xcyj1w&~B{UhA*Gy$lmplin6y4Igvv z6R(dUnKf}e{m?~vKI!jHIGzm-?^mwMmh;4A;6eD}LTu0SK zKD7#izx(b1_BqwE7~WTH&adI`U0TTd-`F)#`(s4m6N)2DeDb3Hlr(;s^GfWEs1S#P5K=A1M5zJByIYPXHJ-4+W* zyZ&T7w|_nc?LMvD9o>d@-{3sj^%Q8c`-Px|Lv{OZYv!{ zyUqSJ+V!Ng_R&|b(evibQ?#os1-N}`T6@v2{-Smn9e)nGh|wpLQ@@M4+-{EL#q(lJ zI*eZz(nqOXO-XzHP%$1~k%^b+d4Ic(r*^ZE+kO4fh)@3h@nvea2im1jyI;laHrI(; z#9g17oacv={=oBbZ;@Z|ZSO18?oa1IKQ`m=9n>zq=I2#H|9jLfT3)?RpDJ^%UDWRO z{_ie**Ilbzpih(QHvIH~@>i(c+!oO5C7banqE|g3oiBUuG_~u&70{n5^Y6|x!yBsmzTSor*^w*560s@OgxU~BCjFOs{ZBY)Glgl=jR`` zvBAapS_@VU26}XS64S;{PI}rQ_|V9Sgm%YWq`jb zy?qgVSG^WZrcZgbKc4qLulo<*pQKxyoXUOcUrNz;z3LjCSF`^?yDgJ%DRH-NMFINs z`!aBxm9D2#sozzfNYsf-_u^r-)bF_9IJJvIWszqwHTV09zAtJ!h1yk)>i4PL z<=c<`^`tPW<)OZA@${gRB}qEZUhppg_R4#^biScRt&}`<(NwM(R(*t_(%{p)yGGIJ$ zQN1_wYd68IdO8;ROZ}L4EQ0y9#oj@0gF?aGy}{se=ah-0mu4XIK}T5sq*@I8UxtDE z_u8cdrs{0>mf^%zP%ChIqXg!~kIH9>n*a$eyL<<()`TR&=c@^*3xA^n@*{@~vgGGB ze#iLy+{B=W# z+x#8iZ~op2E+Z}~;wJVA^hS@yJgVjo`jfx^=QGxyjs%x01A>W*=%pOb2TNIBFjEiW zChu5qSMvtA&3|4Im%W;R%L|PVr^$D8cwj2G6;|*8Azqr;r0{(r9U|!78+^7?O zB||)My{kO9E3p<_ef}BhO&+`nA5kj^T&~GFh4lW`c5v5kJGfY~aV&9J=mYqu11G`t z*XEGz~{3u@E6M-a^B|7izKcJSa9?9Z}{j;m8OATnhtIs#dE)J zzMD$ihD5Xf&C}rW%%djY@6z^x3S+UKsI_k_aZ_*|^yaodhw<#@9#UGVt#exD{$AaCAi2?K8}1uvB}Ky z2k?CDKir*>ucYmxGH@hm2_uWh$Z-p*BNpGgj!Brli4nFDFe5BE9-39k@7k8TnKv&khYFexL7k zzTfVX^xe)rJre%U-g5p6RX{%dBQcQL%@2FQb*-c5S5&J$75r`~)S>JXhI)3D3ZPEZ zkr$kw|CaK)2ngr>KkuL5;_yZ0*(16mVjowQ^Eq>PH`0sB zYr$oXKyVio5>DKzC9FT66Wl*++?%+{bPHU?Jwn}@W4&h*m%ILApQblBo|!))5ANHn z7?-(o0^Ch|KAQCU<@Y?^g}cDjg1V?folpi`74DC7!4(Y}27Q+b;5r-ME6l$4FkkXT zMfPt$0&(iH&vEYfLzTeo(o)QySI4>I-*Uh1-BXUI^_#Ke?z2)!RL0$lZe5B=JwRiGEk<4_Mi z@iFr0{`zZGV5+@~X~E;_RTuMU-qyf*=f?g4AHR^-olQS=5XECI?EtrX3!z{CQMYj7 z^3Uw>QJ*Bh$A$KeBkpEy;5aKyX8&5V-fzv2LEx%+6!fxAGuFp%{Vl@*%!_IJ74)ih0M?5*5EdCo@zm(RJ|~J{ed#*7 zBjRlQ3%Gwj0PDrHE{%N3a!V19v>%~Pbjw8pNN@X3;y7oQh2BQYNBz4i-NEf|(|Mha z3dTO5LaKo4$+@xK#in<|$wwt|zqXU$eSTz@t`w(VkqhyNM;F0;ft90)yS+o$zf}y* zO3tyhYx`Z_{TcQ@=$|qfT7@ z4xH!x-QvhcSE|YW`|E=Hn=TCgd*i|7`~l#i!kPEUM`cc%ukz)<)#vFoag$OT{hE(Y zAs$`!Y**rX&oFTPbP%{qS>Fdf5%-y2oW(Kwj2B!MRq@0LH z-!I5{NOxx_aj`9c>%4tw)SLMFGfV!a$29o6wsDBlEZWKE`{%vkZ-2_ed0Ufd1^K9c z3pk!vxjD`$?}w0&E;tt4?zxS4%zMWpiHp}gIG#=e5s%q&Wf=MBHyhLX4S?QP$})rW za{fB*_ut4%q*LQZt%QDP81y1z1Nf-@_j(aG%ddf}ZhvzAZM!+-<4SW~iMVLq-)`NU z2EP~65Rd;fkEidVY)4C2dg3fc6&X}f59gS$>g);XXx$FyvT!ooid!bs(TFn=3qgt zlhYgG$;ZSWL_G5Q#mIxrTcIg&x%DNuja~}wvgZ99K56H>|F{d{H;B=c8_)jq4=lKH}HkoEt*^s&`Ay^W@*aWkev>g&oZId^fs3xcTW`BH}ss9C}$X z9Q%NOyKpS^>rRe@zgqD(^zLrdAkzB=g<1b{I*-d0Do)&XYRr7!0C1mg_fN!Kv$VWr z?*Oi+RYjg<(pBWmU&#Wlb_d6hUIx~HkI8f$^X2Ars1BYjC%Ag*z_tCZc{26;>KgK? z8}A0UMyeZI_Hg}9EL!TL;JqF-6EX&dtQ`TBF69G(un`ab+O;<{+s z{intZ=>54J-HDs;e?orb%D1Q!{n-aN7i>81!#*^I*F}brILCdfgNR>@$OFBvoe)p) zhzfkaHCakR@9zb}N1geU>+r`_h)1t_0w1^dG2&NSzreiM$#Ih@9+9~o{C!A!aFM5c z6mdU}?;AR3E4Z4~vorN8k5+?^3uwXXu42JoNw0QwgO7}o7_WO0(iuLR&VcK$7oyI6 z=`W{}kB^DsI$60I{(eN;Zp2mkl^joxQ_Rc8N0X1+#P>ZD+!*6EC;KiSZeH>44CcG{ zQ2+MLqiFbdejolOr3A0**Mr6qchld(Up?#v?lZ%ZmunCMm? zr@?`#*ajSikAC?c=QC$boWD99zc-2HykEKWyK0ke|Vhrb5FxZzI=^)scpvh zG=1_G*TbT|JrRFCzBh{ZHzQ70t?q2_v9CG)UA4i*xYoQ+jxEV`8_(yCt=ce=^!B%H z(90sru>ZS1bD(}?Hv_%ju2CoI*ragMyR1W*4-(*R@#G=IO+)@2Nes@)JoF;Qt4>yh zzl;44@%sa{+Xj;UZ6|QwY&fseYa=ng<_zakRGI?4?ozM@`O7~&@@9HXf!>yCjeS@= zugK&5uOjAAhV@6BvhOz5=UfWze>zi{eDteah~MPwjX1@g={zs1xqe)}kNG@}c*ghe zsTtvK`i$oMw+I_f@ylB6!A1W}@R4;cg%Ed(GJ)HItx%sf+lKbUO(nih`d>f6yc<<$ zI&nXLE8?^l2STqSdyXJ3K7NdSPj^m)-exW}pSYdOzt7kzMZlHq+c!Ct%Qb2Dc<&Hp&T@Ws@%>gsKS(0I*{}}WH_graUc0sU9YFWI11@*>Lmq5oTT6P;cp&pi z15lr;QyaWzi6i{pYUWl2w`Zcc9ts`DxMUs$E=0Crfd0w6bf%^(4Ly7xP4X%su zzAAN9oEN$r(#K5=)fFY+KR@b7One;d@NT@nYb z-#>#m{ocqx(%Z`sh*SMHir3et7Vk}F3(uDiR>;3

    V#KCZ7Fwl!so8sfKkbiwV@N z-NL^QtB*VIyp+ffE>3>|A9Hs0Z0gqszk`pv!|!YUa&K_cncvIQU%jCh|L953mnjY( z^|UCsO=vckxVXdnhOb@=+|4bAcubS=Jl;z!Fi8zfSDRjum3WUzRTzltk031$9tz;0_p7^Isc+|GphjqP9n=M#`o6`SRcmsCHd>> zLB!p{g78-XeGrfS@a9nHC$(h$^H1RJ=PySQml3hxZoxyuBcI;IeZXDZ&3UfXj(vV9 z41e>yDD?KstJCOjWxjs&DH8sL-qp3$tlPezno656KyI0uX>|x!PxXd|`^}oi#M{Jup1wNbWaNf=z0++|O zErCyo$I$zu=Qy5KgJu%fah1Vsx%aW3m^<6*C8u(6-eO$-lN-Em+ooLqWoB}IE{w(g zCeIg{NP1cRGV3S3gAq2bVr$o+`lJ#IM<{>{0rT-#FMwnnG<@Za_akGIrB z%%jS;cr5vt?mOXQ^2DKTb&p9n$K9U4!0m&<@R6H7nF9ZPH^9}M0?bGLjs09dI>d4I z`UCrePk4oT^G`#d*V%i5+b>#J@=+xlK`)AYgLvedX&U@eJh)m{jpOWE0q^@R&n0kk zD*s8u9r?jL`jlG-!{27P0KMthBbt2l-d*4>Q!UK9ThR>rtxX8xI0O44&-$yQgUQDZ zt%`jdYd>-eQ zi+{#>D0G1LjTh|<<-uLe4u4(!ujAC8DpD(qK4qg_%qQGJKHZw^Sa-JSTkiLCEpY2c zYx40CSD}|z%JY29tv!`|%m;7Sr{zlSw_1QjKab|ZM;EQd&1=Q3~uwiMjp)UFLD2o-M{8|ewhNj?eGlyj}6KJZZoU~H@P0R zrhe^&Y~U)yfcutj+9UokE8y=dtbo5QydaVEI^`_5C_DmsIq;WI;&S>X=8Y$U>&t@- zaWgIsTwP21`{0$vW8iaj1GuU41NJdxj}0WQ2CN46ua;q5%UMsx!vFD7a95@UxPNnM zJowiO!1apv!Og}8@K-I9z~vUcxBIszQ2!>L*Qx8g2ywd2=?0LG*l-VelYJw&=@B-F zxDI*E{`2|waFw(voVY3Z5%OjZ@%|$Zj|@XR@6yhN3Z1cDeALhISB=|Z9jVqMu-^6E zH|qka-!(7b?^^xBdF$7@5&5Wh>Dm7W3ogqYZcE%2<9zBeJ+Qvaj0ad>ZtZ!FzgA&z z{o0Qpy^l!*R|l(u%YQSW-t?C*!NqL;z0tP3D@m^#Hsv}AErU3fKh-Ue;@Qpl(HVny z-MRe8r-+GR{kgU$Nar3Vq5fsv5RU)*Uc6p@|G-eY9M=xq8H;rxZruo=e$DFw;NsyR z%%j+~J{RfrG=493-+YMmCGKZJotw3zIsW_2;O~A97)d_vw^4m<%dvkU!`N(ru;4g2L2A88{9C0P) zF@HCL`KBv;PgwQ?^V%c9-H9H9;Pc62j{jhD@YHn{Ox(TL1}b`-HymSD)rXy}4$gbCapx zLVs|-ExzNrI(r1`OQzI?zqqjuKJwOzwdCWvO@-e7coOl*wVyX6AJK*Pd1?A0pRVr; zoXciT65?^YXTnF+e#Ln^xEDUU?=|%6la}GV$;R_~beTRxoc>?Aj`|f<7ID8f|AUXO z7mT`fPiKLf$MNtnGyYAYcyy;1=vR+x#`{lbPt2og`;7Bb;y-XT=)@xO_Y1pmK6mzk zk1cMO5jUTgWL}N`el33cc_DEk4}ZP=Cg*KjX51g#mWJ>*Po8ofhFH{_Iw!f` zytyzhy5_v$=)cHU;Og{#>{qU4^)JZZ^r*uAC+B0n)K?iS>D?~gPgKr5h~E~xHsm9*sbNpe}B+`ps>?87zLLTh&{NeDa$Njp0>VvCS&j&(Zkl#D> z^77!O-)iVh&t@2xILYtV>SB6~*T(l{zMwPoVt(E+70rhD4D>z9oD%k`_U{|hmj_0yiAPTb$*mP`_DN4;z(1xU%1Twa-L&iF<&xy$@ip}Hwz+u+gYIgee1a8 z#C4O=_SrcMd6o^EN#b&+12^O5bN)lx^ZLD!_TKk#E!3y|I9o9F>wn|; zU6~cwZ+%Dw%!}}g;Uiv7;&`%V!TrIv?hmdb8)3XABI{`C*G=McO|9$7^>b?l_F+@M zBIZR--GX>*>wMU^&Es?IZ`-ndTTj%9eAxne|EdVr)!{by9l%{54!vwypZATyXYn4b zTg>PDH#my<60yglF|H4HfXi%CkT-Sr<_zLG`U1EPSjG82P&tmcTgmq*Td^$bFEpD& zTps54Ae-k~>;vj%c)dWnR?nNXkVT37hX_Ja_QEcgw$7&8R-6B#uP+?>mS@w!4UhX$tl_?tt) z{q&mPYS^_-#KpA!;Cgm$q?Js)7 z6Bq67AEWOsEDw0<|5utz+-4aDuD&S;?&=?yPuv`v3Lkro&vP^GN+fZYZTg?&qdH|k zzwX#<+^@`zSx3O5H^WC)&67xaxvt+~;^G-|S3_aFyPgNoub-dxyXFXo-&A`Ot){({<+$*zG@HnyUddP=adE)`5#P6{y)kG9FqV5 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/3.npy b/MP_Data/pose1/12/3.npy new file mode 100644 index 0000000000000000000000000000000000000000..e66b2be666ce461b4f1ff57a9ea45c0d585f8dfd GIT binary patch literal 13424 zcmeI2`G1Z_)c+@z+P6~G+AjNEwQGq?thLrotye5Tq$LqS2xDJr$zn?d6T6Baq4s8I zNC~NZUxrw#h@jN^weFf&pC5u=FD98oybl-I(GiSLj;S7RfY^5 zGdQryw@#I&zKyHYbgKA{3JePL`Dx&&z#&74xAyTLGc=Qr8SXQBXy)gtbs9FTTeDhC zC)D}>{mUzaFx`Uhcx67_e@b7Xr$}FrmYDg_=RQ8A&wAu1cj@W4f1anO9a8N!wTmI# zZaNP`yP5qI?atZCXt!=wdznLMx39`wp#J84MYOy9xn14dnMT|lf0z4byL5~6-MQTE zj;n`uXT_)JZ@n&{-T8&vZPUct)ZfN6N4s0*GTP00ZWl*>xJT_ep&G^~7xp?s`no%} zJ23^h|M>5?{m+^wsolhIyIEZy@r&h)u9A+b7huu znc78c;y?7+WP5#=99+hp&*^mK0yLw+1{{1*CENJ4-6KGdRpW5bt;)c?RT_IvRh z;xJV;`pdAK$iKbt65}~U&0@48}M zMauMR)X(NlhJTfDDudc(cvk-r_a0EY8Nd4lJ$0oeG1P8?EB}no0a4tqS~A*IOP{sG zZASCO^prjW(BEl4<2`*A`SL7I%zWqpW9!goCw>)=JAE_S?U<7B=(nRn6+D+VX8-LE zWs{lqGSFfB?;mG0%lxdn6hIzT>0@XY<#-)AE1zDXc2oRE?(g3zyUhG7e!GbNB5lEa zYF9ct`rDlC&~C0wy-t3`vTNtif3bU?KAW2_(C$=fvJRgwhoqx_sa9D3I;d0*nQ5o` zoY|9@`4o4=6KZ$dnLJNFA3~m;uj)inyYc0^p&}PtAwAh^BJygZ0%0%j*X8}vwLt{g zJL|q;UOSriS@88=h`Wga%$q&II&!^Y))1Gye8HW*Wx<`O&d^uAT7#?YUtJ`>BK(tZ zvNr|xV;oM4w&3z{w$aq?9Bafn1#WVEiHM&|_BOsQxS3G|T;&-spSa#o2weK@I8FUc zjauWuJ?4Px(?yV9$EP#KC8x~>7dP86kI5TG_QI3%COmw=T~THpbf(T_zuzrp9`s@k zap(Sg_S^X^xNe>8XXxYz1Gf(f%R48M zy^P@bvOnCwe3?TlS3~E^7VNjhJ#aC+>@woE&`zu?xvMJj;~w|WUc?*p<~lKQC-SV< z*J}m+Wfhq(JITCsi!RVfOvk*Kh8LNCD~b@;m)7&TJGY4ED+Y{zZFmy`l1O;(Fvo_PZ$vTzXd=MqEBjV81D`th4eL z#Ba}y1DC6dV14SxLne_QXTve*n>-b;@5~RMyQHH|u4A3Yl@X^?bbT<{8?PP6o0IK1 zxSLcshPWM48}@2SBDlD|a4vBj)fM_q{7B?qFX|o&{ZHCpUQE|NuJyby%;(-Yn>mM4n8Ge4bIVF(eAK{1bitD@Tk-oFepLwq5$g{4U>_c3w%niTl z_oj_kh;_QLNU=t!^LzQl!h zRzAJXvEPH)0$`u&55KaIAL7@!Her5k_!0K|i0gw4=?%Z?TnBKSK9%j=eY2r6sTtcx zd_3nxaTkw8-Lu;-v;Kk(XNbGy=eT4qO4Z@ekT%~qIenjDN7_W`$i*+JLf5BY!W?r!?_K`|^ z%6>o0}xK_0K|z$LYuGP$u1hz05bvpSb(x40Pn0r{K=0hm(kl z8(dH9sUzTK>Q&DFhXRO4&E3fB`EU`OkD}2h;I<#17k0sdY4BUUCb%5S`&SPuFq^pa z>cxEiXpX-?Ipkjz=6z~Ll;e9=e1XY`Gbh&*b$%B1wX>`WpMy1eKu52y4lWDi$9V16 zJ(&-_!tpQj$GIa%vR~I@9k@+&aLx)p57;|?zk|!3AEuIDb@2`7Cy>{n@NbJcBV*IS zRl0y*6JK!_#w+iGiw%vz-5j}L@0^SQch2oZowOytpGo#+dmQi6Hb;<8w`EkE7x9uo z98dZ8;ClIkrDSjC--C{6l+5wR+?YUI_Tl;|o1F*OEq}*6%E4LphehqM9;E0J4!@nQ zaQxL_|cox=w)Uvk*@*cWm@PV5);q|s!r%=pE?h2Wz3OK|HG{{!hbk;mD-Lq6;m5jz$0 zV)p#W@zg$uJllg2h(}!A3oh>Gg1tQU2=@@(Cz9hFKLq;Di)I+Felvn~THNJ(RFZcH z`ISo!!><#Ogmcgo%mC-AzB-8P@%v>BcpXQ3xt5AWO^Ph36e z2OZ;e3-+e5UQK?b;d!)+IwOA7Tj9L3Wfme2&i#AvE3OxeB^?>d>p_NH1DBP=XwosW zVv%QAYaR5hZax`&D4&~7Sx?rflq-aEjQ@3>m$n(ap5JU=M)pFda{iBW=KXuC>{hbZ z|MGpqNhrp7h%WOZaWyM9#^rj>hK_w|R+5hK+{t-(*cSCoH9i|b_VPq5xD)Xf++F9j z3i|Jk!mk+{$ML7^T|?aQ?$0_CW@7!DpL6^|++04v_Lny!&(7d2D~Q|VgBX|kI>_R4 ze1{+CshhZnQ+s@XzAU{Obw=e~2z&R%1NuiovhW(H-0g+p>hX_9_P*nc9KtOw!vKiKNqi zDYz(eg!MCajwXBcBi|oH&3-(t_(HXzADHz$#Jz99b%82^AGl|J zj7!eHhxUPW-xJQ z`#9vsJrK|H^3AO<=$n&>$64-)eWADI!#OT<^7-g?PQ|(sn+HXby?o5)k?eT`I%dTX zoG&Q=lfshQ9L^DVEA?0HNkw@h2KmeE`xZTIMbGb z%YCC!udLe><8qr+;CmM3|y63!(LY#V56t9y# z^P%tl{^ZBROndh)zJI#462Q&*+lq8_$veoiO)0^3BdymO;;Jd1vvT7$oY(HdCbLLK z9IU|lT`uuC-Y6M)u=)7@EZ3I6ei7?$AkW&AfV~+o65Op<8uuC3KRdWC^d8)XUz<$& zj^z5LUB2g-eU(Cq+o60OsrUo%E1J!Ry}FlGH>$)juihPXz}}vW{FrtfIsS@mCz6f| znSnfu-?Cx6s@i_ur-!oM3vwi5zt|T&XOq2YmsJNgZ{c-#BdsoUCa;0Mp7jT~sr0(1 z7sVfam;H`d%kdN|6axFdr^2t=6VCBujG0gNZo}8Gx9Mx3Bkm?BvUhIZ23HefupW$m zI?fASyD#!4pN_@6iy0%M$zG;7;No;HUJnV;ONg7)&fw}n*7pVlgSdV+zQyrx8pic= z;XbS%yJs2fP0glQCwjwD%s9m%sRzSAP>&@U$Jggn=0VOH0N=Z zdo_;Y*R{uii&m$>RosGM#8pTQw*R{T#w)gOX-Zs9XvXoBx{P?FPtQo=_6EPlxtr?2 zUjH<30`yB4V*B=kuufE`95KYr`fphOr|Zx$`TPSDGr6vM72G{|0rRf=T}1pMmFt7{ zSSfBb<+;G_6Zp(i2 z=3{oiG3fu%Y??^i8l!N%4 zhP}Ym#7gbSuSyvNu6pwCI3{>lJL1NBG3V{Y6~rUT*Y+f?xBkZV`Bs73OQ-9C=Z;34 zYG60SDJKTUd6CYLtoeHNlJnoAD)ya7%E|ff`V8^7-toLo&-3?7;ue2D?EX+3^CDY$ z!`|%u3p!4Qvl4M`LerGwJsd3P8YL($UoD3X}aZNu3E?;;v_wsKJziD^C^{T$iJLDWo-2TMh zABxg>!DT?H5v1exTgvNX_CsC|C7SyZ*MHB%cvYtv$dA*nXB6o;e=faC?T*J{*qh(O z7Q%k#O4!@GM-jj6dJpwb*ROSt+RdV3=jf>x9^OPxH@X0HWOOUUV*(0=5V!w$f!q5$ zE;(ZMWa47~D7K$p8}>Hg)pY2c-VCl{Pa+;s$Pf2JbL%$Zk!@;n9-3C1K=#hjmarFJ zT{%ym-QY?=;H3()-`9`8?ad&pXZLmx>#s}$R~ybE9+ijlARpvnzdIJqBpqA*66^d? z1Ag6apP>Gjq&DDA>;0%>?udGrM_G0Q>+k-F^Z6kx9B~yHzrp2$6U!Y3dEG8qj5;O`whJfjM*Rk^-!??u)3xW!C$7f5 zV*6V0uveeH#(l%RS(4*C{E+KmO14ng@4mr#-d~UF=f^y=;J5b&aHoC~aJTNd@!&W5 zvd)cT;AX@Y+=uP>Rat&Rv3}&83{Cbn$7o^MEly-tY&7el|A;YIQ6 zi)8yV6~Nt_J6DsA>@@=R;z`!;GJW^7A+DaqfxFRFIL@A-V@XHXdkrqr3!H`S{(Y#c zB82ag?!8^GSCu+XBOUt-uV<5^4CdXbl{c9BxveKcNBvwI`E=e!FyGPx>qPZh!t*t$ z$PTi%lQ}=4B!BNMz4POHFt^J-j7yb0$NTsGA>_v`&ih4|Zx4O@U>^2``mYB3+Py8o zMS9nMq%STW0e80V;r(8H$u#g(4{*_K67)`hIdE`^o8n>9Ztx=Z!rdDRY=1~*U(MR7h zA6bs)9e4fT;I8pN9^4C_*e~)i zkIPB;3|t1c4JCWi`z-98*xkGie;JJXx%{IMk1ISY&v_g9l3%w)RdAVi1a#E8zWqo? zkE{f4qIrL*@X(%QuO=PmIKLhaeKqza&JjKQ8MuzB&+~OHE{Js8_Gg%%Zw78Azfs^x zTfyDae4lp`E@NLicTa+=$Y;1m$!&MXk-aFA<@b3X=BdY!2kmU<)xg+gWHjRCo<<#5RdCo z6kJq~V0$+`gzU}hGR!|Y%zRSvSmJJ=1h-$5<^AIQSs-y6FcRxQo(bgo;BhO#i~M%s z^Fnp&3LQCpUpKOM`f#1pce1{p-}!a`^e=KgojGOsKCs%CfB*XWImTte(|Ep0o|p{3 zX$j2hzXjJxitW4czEGz&p}wgV4?PjjX+O?GhY#Q)@h_b3#xEC-w|iCS$hD>Ly_tJ` z6Syhe@(lI2U9x5x!T;h&&Aw zDGy(7K>RZGF6`~Ub1=W|)?dMO^%~GO6+I`By&JF%+*!U7`&thk=MtCKmOx+qzk5rW zE2#5Mx1u~RUxe}b?%RJk#p4DivrfDG;LeH9ClMFL|ALO`;9Q{3>f_rmdfIQZ>fUP) z^9kooOvOHu&)UMTIQAI&HlR7`gZ%6j$LXI3I`+l0aMG8Z_kr7h z9^h`*pqb$BdxPsj-N410rV|j?sY2l9iwev`{6>L)bp`Rb8y~>0yYEgn@QuOXx>GxF z^{*G|xsLoEaoR7kemDGn?kci(TKornH9809q4l4OiMyK@X6c{8c%9mRtxC+~s&pE- zO8XD-IKzBVH%ubmPoxKbuW0mvc+xS=<6$p9i$OeM_lO##-E*s5i&6d&?H$ z`hHX9zI+b4V@j+eZoh5aJSndDdbc``5f0QOFW zYRHcq+yGoPn2tIo0)jkA-(Ak@N5)P?Jnqtxd=4h?eaX~bi}=-y^^-~8)R+q$H=`1` zxc_=7aq-7taC#$2E6hJO%`Ob&pKsQd`)N0hQ0XTLpD$liH(n)$BF z;3g&=@w>aeO7U<6Kge{Z2`rK=!r+zjwGJ zih;Y+AB94vlRxLDP1gSbuCIoAC{E7-cXsms1Gr@y&mnv5+Y#}IqYV&`zVT`s^!H9@ zzX98zZ;wQvj_D}QgPE6%b3rvpR*4jkdkf<=fAM`u=dXeLhTOdu+)j^$z4m{IdzvY7 z68iSc2drB=@5xf~>--$aan{<5{M(Ux_KznueLIHvoJOb*x_x%Uqx!e!@jmr~zMI}{KG~a%L7bnGzhhmA zxVyg+cW+;Zj{3?E>(EWTJ0+3qv)u=mO%{UdejTR~S9kb6%iW0&dcNN6OH_++lxk#y)*Xtz!vlr$$U<^l^$TcHgqtb3n%#Z1r-|2_58c4h*PfR z_h=bC1$kE9D{zjh;`=!di)Mq%_zbLDT`E8OjjM@x+^{)4DISqg4tcgSh9Mqv$a@9F zV`@y``~=VCd3+)#kiEQG4LV|0Rjd;;C+-vQUQ=N2YKxa(UUb;)*` zi}y!!H|ss6Oaye?9a{s*-sa+ag?jiBams{tQ@k>{+lcSIw%TT{duLQU zFkjB@&7;X)ZQKZM8jNTArKj*7Z9@6}`B7 z{lyv>uWDWZ-0i{l2lwbQ#A7<-jUgRf{SoUlt_FL(v>4WjZ8Q|~sGjG;JgR;rHj}-x zneRo;g~H(aUfZ9*zc|G4A6KO z9{lBC@Wch2pQikOFQV>(am2-syO|G7;`(_=&Lpm6wk}eK0Lp_y}@~57iGIeE2-5X3@_EhAPsL z-j!jeB0tB|EhPp)fBGGc=UOoD>lwYqkdD)de?K-03nEV@_Au(d>{uOk_E-M@C_QUQ zbJB52j|G=$FZq1j_Q@3JnEag2u>ok;%lh(rWsOv}^K1`&XZ(Ad7hq>bakUO4 z+DdU3sa6zhaIdOWYu!BLbNK!P-(R1HU+&la&dDbyCnqPluA6A@zTJ8Z$it?wneHP- z2Kf5Bw{qNDk80sw$8jGu(SM5nun9va`i~fCd52-+0!HTWfYHMyjm-I8qhYgVjq22_ z;{-eZzkdZ8V{-enJDxe8I`-3__S39faXTsJlV8q$X1|NgdGFd!`TO20_ERrxc+0k% ze$=jg{HR@|qn#J3k9MaIwaW@8(QfJ#xr+Wx>!MwI=k`B#&dE`5Nq24Zm#lRa$V#)jqw%x?#_D^dB|J8NB8@9g?(~NC*j_0-~E`@)NOhmh``0_8?E>2Rr zc=q(6?I+_pBhE6Z#VNG!`h@r@muEL^yR$S1?dqvXwCzp^^;Zug{zm@-_nyKoyZTn! zt~1h~fM0k01E1cX$Zp4E_-DEofxdp%l-4mQ&%f5r$kb%ppT8LjzfFFhbj$UY*Y=aAY(sq5FSoMnch&F&_4in3&_1~Dzezcq#mAyQyOjpN z`K)m2U(`YToqZoLUv~N!#qE9jzifYfVeKp1-_+Vje($V}{yBRD{dHiWbGBWS9!~38 zR%Y0Kyj~`a|G>Pk?YbBB=P&L)u!ykO7nd%kRw^PM*>ia45}(`Z)_v51Fiy(k^+Eykn2T;=6r`-?AKV9%E~d0^Yk z8drRGhIF9zu}&t&tuy?JZC7Xf?%VIO<#V+2lPkBvzn|_rNB8Ct@u(X_LTZ(qrV2O4zW$ay?-rxZ3+AxQX(Dz8U`==|tB-y<)r1MOu6D z)e+3Y>Ffor%1xZ?nZspbGuX3NH&8#EW$(i=?)rwLzq~Njo$nVdvfO!41e}lAn`-;3 z9vh}w&gaYrms5%$zIw-8%!|7aSMxi9i=W!TA9mt@%BkuEeU8}qrheFdI8`aXOm95 zx!|H~nQoTzEBUED_3wEVcGZ%`Ct2QxgNyoIz)eEuk(R5qSD>$ZP9a{sf7(3py-42LAI_LD;9VP#bW*^b_{4Q*t5pwTbDA zIIxPG)^Shpf40u(!8<4p-3}oB%46IttIr3XCf+KJ;`6N7a`@Bq7`Slh0&YC>Ed&2+ zE5*4=H2HJ5ND8$Qx7N(;s(~24X=neo5%vFxAI20DCpGOOZv+mLPvEj zGTL(flH$omrP8?lZ%>AO)EJD*I{CqWbNV^*TsQs|I`WTu7*}Krq;V6yNZ&t%?92Tg zW_8%8*5Eq${U4royt6xzZ~D7y(ATZHT((?ajO%OdRi*mi&h>4uXLr(Pp?z90(y6`# zaaKhdhgf@OLM_Y+2;6EYp>2c#k!~qvG7NC{BD`$qHQ`h|Fg_P6#jqY(Kydkd}anvyslm2v}TNm1m_)Yr&QwW2oh z9<+b;)G70!bG#ooZ#EwGdS3+29XXTssqv|RbAkE23bpoTQ!mo-454#m+e_2|b)gUG z+^a&oqsDysrM}>*(`D$hqxoR3^L!6(R;&eg+8@BW3%5L^fAwc@9y%BPi_mw7gIRSE zT=I{7eegkuS}?KUDKV zK5)k`3ijpGVefdh2N(JK!+%x22FBIAHn^NU0rt+)sjwGE9MmO|z)@#p7@em)WCys} zvL?Xlv+f7Te)|f_lkA@me|E7O?V~1cv|r}0l%6@}a?oOMQRgMN?z-I@e)dZN*CF|^ zU)c8}rR7c!I`8!GBZ#wfaSO6s)%uy{b=3v-hJ6-cIsX_1&Tb4N{dScQe~~#F+)TQS zdlY*c6$t%Qjd5j>WSoP>W2>*H)yZl}JZnAbzqov8uH|OsS{ip~AK1(KDZ?xmr6GTwJfGvGG$#Q+{0_zO43EI0k=p2^2G0$1S^8(JN9mexx&`IpYGz5Rsc+G{NQVPjT-v&Fv+ zw_Ikg2N!o+(|lVr8Ed)7EP*`XO^0E=Ec^|{d0}yy@6%b7&&}K;Jag<>?bhH-P#jFn zb2BU#c?UyBJ^c&zas%D>*kW2o;nM^D%Zpuqgg*xt(|$?%8{>+qeRo+M9r_#mRIwQp z{|QY{-&EI~D=V~+rZuwS~t_`$XXe&=T-ipxNY0A(%N(90>n`fqyf zM0`|VW^8}i{aqaNC!WT*BIN-5H@U)%s8PuM4CgZu;bF(hsEgJ9(-^ zTOD2G1^h8%##21s7wirF`VMs1>Pg_N_@7l_Up^UJyB3B2&X965lB_>*UqeSeNv68= z+poxT=Ug@T$*P`*|2()e;>?;--kNp`iF^1V-%QPtq+h%r@gF+GVB9_q<=dBDY4ES- zGvpQT5(6&Vo+kTysbg)s*hu#Wb;gI*H||evIZO73zFOZJ+)2AI1opitZt^*^Ya<=mnxbe9ME@L+jwBzy?%dw8Ss~>S$f}XcWr^24)AA)(w zISHd+Uo8;vF`W{yE@p;Hl+`zh=iv`~*c$sn59jp!c=jp9C*=b2O1>EpZS8f9Mil3V z8PH*$&xH;z>H*G&&4NEB_Q-r|@4Tn^>R0dSIWgki0_%_7G7S2%bZe}adEPD9a@K~P z7o7a`zJv##nPhe3!#0&%?@M(uYcl+l z0jtRWcZ)Et+_ZnP)i=}V{%J}dB!5l?ghD5l-anb|Dj`1nyB{`KF4O6pWw*BBycTm$ zhglsqn(|zhqkAv&8I1c0yFmA6=YBEl7d|4Kp1Z^7e#kHRf{Q}wus3;J$j>+bfh*Ha zT77Yu>YMoc7{--xuY)Z&F1gPI-bcYz(E*{B^Wa3pLFd~AZq5{djw~2L@o(Ifbo}qm zg#QQUAkJ!vE7i#v_x(L{bmRfLFFBV_Bd^5e2biz(p5mtW?xb~hy>SEYd&m z9r8iVP4_3AfruL$5kTkQE$_9Kv-6d~^=db8$8TbcOi4RsGrUkhWv~i zh5G4aZK6EizXJARe=FpP9`c2R&dn%rRwjY+vl%@{m~pMZb@n-Mr~lnq*533TMDr@E zDIcay%>zGw`4L<$`s}pt&_NLNV)IBy~@p8-MZ$)X{KUD!&%Ze!QaJo10^7Nj8Uw=5# za#p+(`IB6L^7e!u-tRf(K9c_r3WBp4;XxSJf2VH3&O?-xN<@goYrzU~wtrJ`SBsmcWG7Z7gpUD_hJ1XJuzo^5Ew&o;D8Nmq_2YEx72`youE@=WmmJ zlR@BeB%5M6pPPVnQKJijs}t4e9+`Y|et0NDu zxNF-*`U=XQr)f*xLOqELR7Lf{UytSL}CrsWbAKU7AAnukR4=8y;%ggeZli?0e9jilmF&$l;!fy5X6nGP69Wcm3CO} zJpY_{{*&P9{PZ=J>k7T0qZ(X7{)-A-nkVIO(=8Ek&^n6h^W#wDKl3~cE-y5u^YL>x zKfd=!gTqf%87h&-%}|Q~vNdGm$?k`K_|{&ZPCw;Ulv!FIDSlJaoEdK}RM`#k%OO zM{$2v_cW`cQ{I5HTE)`v zz3vN~JM0$SC-vj~uvf1(&$c>FQOajkp)%H;^~r(`i8C?(YWYeA?pXG1;kSD70 zI;{+og;5eNNMbKDzs<`Lre)4-jFkC)hSS!dcWa!V)Z>%9Mthrg}s zkpE6wa9N;wKg)TYWN1a!2^ z2|pM8L*tfhME294Ae*K z-`F0iOMC`BNASwC5jT-rmsp4CIX08_`|ZpF zo;lo1D@OJWy`kg$nl-@MJA-rU}({z6RLu=04>u4{LyR z*QLF?Sbe=^GyLc2S+tLi{z~UUtsUU(Pz~ri1-s9%_9EY2aPw#l_O)4%@V({iVhqOR zu7z=qs}rRbS-;epl2{i$G8$ZGPF@B6Dj7OT6#*Arf1hQ!sCNlEazRzpPd=x1l;uq3 z*1fbmh?}!#0`>*pc9;D5!wqrM6_(&WrlxygTz%&s=(B?zQ6FTj|49FfLZnmRE%arr zqu}cM?`d7~1kbbM>h1l>UiTsUBNL~CkDz;qKKvE99>OMp$EL#{{`*6WD@X3{Yq?6L z-^ayHx^pUJD8(U)-cvcHQubSY8I?eBi;Jgqd6`udI?4GluG!TH`i@se zKg-#{L*Tqj2>H{uT(s5EQCZMoJL1Xz&t64C$89XFdmR0q<+$C)xNL83o%#7PbWC=i zIabF^IR+h_(H%N+K%q5OM|Cbh{+Fpk^{RSZ#7FmZqqx1hNxXvVW~;*v1%b2c4;&gx=n0xk&RMo%2z2zU++L0-bOBQXKl%r04zU?bD$n!zljWKBM@b zYma;r`HRC|=wTRFeFz~sw`h&g!XYX_G z`Q0Ys`OdUx3eJ5)sa~D!(beiRPWj_>4}(Aa9~b1gxk~pXv2P>%Hv>-2wEE(CIO(Li zgFEf|tgu`?I|VL|{Dgb2OwC4|odPAnWxzA6m+VnI)Y|KFx##JXTj1QUiL_kKO{IM3 zk^wF@^rZE5uR!rXdkt~c@qN}>d*{|e*vpfHVefc{1zXOR(77N2Yl0iObB5*OLmT+R ze7>M@d&P!W&P$C0SBmO}crz3AkZ+{%;19c3c%S7a@ki+B z7W-kZ+W&$3s+dV}&=2YTHlI>&c9I>p80Ej(PWL5wvQ?zzPDiR&%6liy5xJ^0&ILB+ z0_nSchB%A4{a4s=ooUg;hwKFBzf6j-T+DX?m)*x>y~L$%{j5Iwu`&6-{t5DdRZ2si zvtKSDo~qVH_%ACb(7Ke5Ctkc6)wdF7@f_i#ctM{P9Y^^v{3+&ZmQ01d{PZi;fsz+@ zSbxmYOz1dgeQ6(E+$OC*eBnKCHflccr$umn>1K4FQElmWPrkIoJZrCBye0d0^j_5I zU6Iba83o`EPhN?A?R39C+1ktV<-oq9)mwuMckaFAXUZFQVaYvI51 zZz$!-zg%se`s7KI&~^FN~Xi7|kmq9_ytCU&Z?h zwPh=~cpC(J(`cBV)nQBM{v%!6Vqfq%hrb5z{U_|5HU8kty#dv|(v&A=b`{FcO$`I= zxTgFAit{3W)LXW=_#DecBRa?Vkb&?=l-#n|>Z`l6p)cE(!hD^oUZ_h>Xzp`g$2yoV ztI-f#Hlq83Sictji12&L>gb1$$_^xC9sY;d5`xex&pm_V4oKU z7tL=VPxJ^){+ExT{n)oV^55jmy+3?L|98ayY_ZDDi=B8y>+3om@pQVMK%G(3PZJM( zggA&jv*WD2zLW&+TNW*$S5-s{7?iq z+qjzS;{t*#*MUEQ^T^ZSa>$-}maFI+;KGyM+lyuY##qkc{ShCzFF)q1&(ub};xCg( z|6U;SRty@1c#1}m;JU(o;sC+gHX$5GumJJ^&W6D=s_UHjlGUI zFt-KZ>^J&9KwbK0id)!FaM9xVL~AehjDVkFH2t5RGw#s==$EDYKMSPiaZ~OU?r-cU z-IK)wjd`gCi}4pcXsv;c6^Ju}vF z{?8rwDaPjhpGl_2e9PJTHQ@5gB-pdy%UE|2yqxT-XA!?$4fhj1_8>TWaR>R}xbFz@ zv^s4`hd(KWIPlsZMp>>~MZsRpZVax+4)?X=ik7Ppe_7QBI;Kn~oKw!CeYB4I8iT95 z1@XSo4)K3~|NA0fw(LVaGRNq5a<#Q?g#CR`?m35gsv{=fLjIlX8DR5DSE1j5oS#^h zDFG%Uqtn{(P7y0?E1LxsYyYw zGi|c*$=W{hx8vvq?Mdf+X=*>%mBw92|KDs9Io0h(p>wUi8aoF5JA)1Su~T^@bPCjk z9doUXPyS)}Fw0eu2jow_5ZdqCYQcZKe>3^f?jzO1iOp~?a@^_p-&9P1zIxlZht-jb zrc?jLA2GhHqJrVi%VPL$+Dt~f%9l*<3D>7koV$2n9n`qBQPy5Q*p2acs{)9RJh5b^ u3;wW!SEdb literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/5.npy b/MP_Data/pose1/12/5.npy new file mode 100644 index 0000000000000000000000000000000000000000..e842d040db1da8544bb0f027aac0a9e3fcb47860 GIT binary patch literal 13424 zcmeI2=UN0R?}0cFL?bG$f`Yif5fsH$se4Nl zZLL4|EY3^BRqLv=RrDsG!(VVey>FjfukSl2pPZbWoaDM>NvG}|yYzNplUZ2x!9#)v zO{nh0t2ZCoq$edxFe6DJH9+kf1I!9y%>Jz#Y3kZc}2e8Bi2*}pyNHELA9c8%IR zod4hcE65l#U#4dIWIuJyf3Dl7^4)zuHT%gge0gDio4xrT*e4&IeAPbXs~2`j?NRzmuMi`cKVif8GY| z!u1vDKg@%6v54B`>1!Fbzj{y+`eL6e+SRI@{wI1rwC%ET*+1=*y;yrGHTxkvsof-( zr2g&w(5`P6KWE$dN@^FI>(l%bdfl}B`OsL$wwry_?)b;TKkc1@cJW&YYCoEzU*y>n z+fS)Bh%bULCl0PH9;@1y%pxZKt)?sUd(4IJ+tj%?7ipqY3e2>qdg(( zZ~S)u`U;+R@}pfBe}M6sEC+o(sS%z|nLKZ;os$y#o9!?A{R+QT%~|P|>$GL~ZB}%8 zZQFVLS@dJ~^S(sC{TtuGE~(vF+ivccLfqJ<2k5VIZFg+D@!kK{w(~`+sej@v^2>Dz z`pc%d5Pw#nBH}9eO^VyCk#}u>e)G~B+u!++MEytBLx1OD0rY2sFP^sT>f{2ft5~z? zmhC4FKgIasy&w7Su>t*c;)BO%f3xEap7%4?+Ww+l%0m41U50)-Efwv~fMbc4>k^yd z?9=(LANo7)Q?u~YsHmm&pDt zjyEIwBjK;TZF_6Cd)Cg3IFUG^mn>$eQeuJ z9T)W1zOB%%%P+od_4ML%S8co4I`k3rD?CTLi0--3{+277yt3`=Tsy2IUs@uM$o?rB zT-cME{WN#azOe1mQz0*%{Fe}Cr<(5)+s+4#r+i(u<_7frHzr!Hn~VWx?|m^379(RV zSIN~$=ip}SGtr}J0(kH!(z*T_c_g=8SZBGo)t~r~I^ewA4CsrKKH%!lrc|$F>lkbA zoZLbAxW5}Xe;7I5C!3q2bz#rzKS2Fp|NDM{wdc)ify>?{!A<(}pE2%ESJGdfcG32i zCl5`9{htxwrc@=wS48&2yhIdnr+go9^GhMhkFgXt_Eiu#n_mp$I=SXRhppcX?o>#e zXZ4+l^T4&=6XIKbCHq|qiGSsVIw2M|jk5N-eH6GFx`^tB`wQ5MpUIxp<=9Vp)mLHG zUf!eilGR?&dbN3ieZY@4hmQ1o2d*o0U2g4J$!*9hb-pp;qxZJZKH1oL-vxDo9Z9A5 zhljL+eSBGPJt-aB`LL@Cc%8>s7pKB~vOiLX^6tVa;tdkOh1=K(R-cueMs;Xy6zRkr zZ3+G-1D7s+uG!yWV%T`AZ;CVpSChMeGmm}4EoVQRg}y339h|Q|Kh$!SvKd^u>;qRL zTw7YMUyTJfi_0NDP5GYTKG|HR)A?lP*TlXP|AqF3{eT40cc~9Q_0o1zti6fejJUB| zpTSx4eutgO*#=cVv8Z5D#xpty_ z7kqAKrSWV!HT;Ou-AaONqIhrHHx==0Lk$o|+Wn7R@^kMd_^)=v(?0cRLVhL`0e2Gi(7yKdM;uu9 zwzQ7BD>Sq^+Bb>Tv3V-u&(HfI4(!TN;{R=fj+xRR4)fi)8(h{11n2VmSj(NVrE4@{&$twh;b!o~L!m+y9bJww-f(&H&5J)vDlf*&f7GRCyh0+u8MeH175_ zm+f!!MJsDBeyRw2wyOZ*sYl6)wq3i?x)|>b7+2r?6a$@Ibnjv*^)O$R&=+}PP8UVo z^xwmYzwxAfREFZL%O-$}DjArUbfJBr4!a}H@>oUK>t%c3C;$2_?DdJP5!O#F&VY*p zIqMt$JL<3#ng%Zay$X9?V&8acZ=U6YKdjY0tgnb~6K^@MM*CWMCBa^%c}G~zI#eV3 z6*1tZXnLgO;^>bwukDKT%jChiV8*rvSN;ugF7T-xsLpKfNcLhCGUf2f*2rBUER)e8has?u+0~%AA?-f6*Io_4*On zC!E8+6CQto>#oHyE?cl|4&spHfb-cMz@5qS$bMct>0D1kos_GKz+Sc3f_*CQoIyO* z@^4anvg4!T#==jr#trLeN|mScZZzqOf$21_Nx#v4e@yjLEG0jM+=z8FS#*EUA%V2- z=8TWQyuMt5Kf=2!xbt^ktP2}ZiQ?I`8Rbun8L-#A#=%~Wtc|*)HeZ-*b4crObfO+xAhjed=@}qsRxdir$-Z^Kwoi8gJ0j{E4u)j>6l-^c{nDIJS-k*$wIU(Gv9>z>wU66~L*fQ$ETuy=;_j<#H{nory_7~{&0r!Zd~ElKD5 z54cB}8bc^hhCuma`MTll_v8I7gf&`>|i-Uw6UfjUkAeoIE-{)!H|BjXcq}Y9Y?f{^Z40 zN1h!BeYL+hIFEXc`-v#A6I{+~0d6LR;rwFX<=lVV7&tp9P~V)!Id%T)^>pu@#|PVS zo%)owY+W0073e<3a_-`WJYl29V!lRSN1UB9g)pv@KAYD4N>Y^dlRfkVXSpd3&il-% zmW#tZNT=&RuxIX%)>?fzeJ91CZD05)wr$2fV*TdPerZhK0nEXWZB~b89)rEJ^%4Bh z%i5w|>B1Yp8Q)3qY%yZG)mN_b$(W-X=es#r1^(+Em#0`R?{etKwP)dv4)DbJ zXwFuoc;34L|7BbooTuvWFzD+Nizsf9zb>-l$|Z%#|FXTw{@0Pq;EyT|9g`7w8Nc`M zn1gZe#DS}M=U^|~g0PQN@mA#jy*zXp!Bt`cxS92_ zyX7X}I`sKgL%e5ZGt0T_A#lgMA|2lk-L1ZP7)^OKVI1-H#gZ*o-A_~eHx4KNy$=lr zA2WgC7IvK0B{dh$1vZlIld@b#>YPLO_l2d<*AHuk1j#~tDa@|3kMdOMTpW+ACS+0gwrZ_Y`fpeVqIfFdZ$IF4M zd~~lCG2Q5Xl0o-pHRC(%7jtqF#d!_g582Kc;Ht(B*z*HfG_P)jF<&><7E}jB{2s(#4Nvj1oX<}n{oLokS>!e3tqiC0 zQG3#RpB(Bj74~0;VO-@;_hEB)5zZay{t7y}$~MZY7DaJ?(EDza{_S58ALqajykDpd z-4K60a2B0+T~k+CeSMtjhU{3J_~x5S!8^Byy{VCjd5IoJP(O9P8_+j-CZ+pi_gBH0 z$RAN}DcRR)Mfv%vH{vgo7ty+ho+5vy-$gumjmBiZ{~qx^^D$r5u{-I<(f!Ai3TSP| zkv`$zYM&qWmpm{r%=&3O;%L5~dXUbfGCeHkXFgHf8uq09IO5@C%f;;g()am9I<5bM zKaN|@d+4$8l+R^de}uh94frX(bjG~IWe0wW(uc^O73qirPsl*tisc+!wCV(ZM4|Gb zK6c#ELEyUB9dJ`&+$hUsi7Mdy$8Yc0-@Jcf2m4fUjp4uSnE`*q-e)+E_=Zd1&L(fz zo3MZ|Ywv6*0B+unKt7wy;fa>Bs`Ngn2K)sbela2_)#|e=7}uF_AL}kxmRV@I6GHXD zshWiPCRUwHu$+HK_iFPw9o%`Ig6{w_rU2r@-gttmrJmZ_%L_|sUZ3eZgWS0b^@^wa zfJhe>`^aTuj4(|S+38-(zv+;DGo!%1cA4v_hmIb3|!CI+{JQs zwiLxJZ6LTQa=LA*<)MAR)gljYQNKZZ%bl@NG~Y`Ps6M#5_`tpbeg7AaH_`rz9MZ^g z&J*_;aZ&tz!qekLgPd!Ogw<(AOvGVO)NCHob?=Z3TOI@hRm) z`QmG>j?CQ-T)7k^`$olrD$bRr=+(VT58SAK@yw1s!UeITS=sU3NAA|U)=&dWEUoGwd#xF(p z4SgUBbyYW73IC1XHJVq~N{FZavGzl2@0=}j#Xe&1l8rbU|#pYWby|OgTtL1xe_D$9_%boEzNk{oYM}3nw(sCa65uCSb2hNixhQPjM zALy`#*T7|^kErLY9p#S`ABFr8{^b)f?xlF>nA5K@FBVaDo#l$(g^s8if^`uYb8&y> z|Juk>#fJC$g{d3i`T21JrZwodJEvClQ=`9-w@4 zjfOp&RiEsu7u3*C9!ma{Dh7X)Th@=z-?EK(lN#XqWC6PW%y|c{Hqmzvl@^P0$NZG@ z-f{f^%`50>gw=7}D4&%_Rjj-I=_zz{R48=xMlZxuEGjX@$Ifd{FXV|6yBzD~xOwcb zT(rFf|4lPGrrLJGZcx={GJlos?H)n2Mw!igXW#jCVd6Xghh`QjsXD$C!>u1gXz*)^I6z9i2 z*r(d}8;aYMbu{juJGIqO5&Pl46PSnc)}jATH9tQBXM^3r)uXnUm*`sv`f6!qaCYze za67KZa{>0|(+P@0_hZ;!rfnng|0cy*-Il1s&cyCl;!5v&17GzFO9qO zBKEb2{vWt_p9ghJRr_HI>>K?K&doTwUp$B_N%-zQkEmglDUd_NsrFK-HeR4K|Iy>C6Z@(&7y zpVP}xoZDX}`zc})cu#L|zOfe7x2L|)=c~q0J}j9?`+eMtT|Rc)s$Wz5TMmSde4~D} zI(j12Nw$l=&pT@GPnPrlQ9Rj{Iym1=!^7BLZ1PK*?|_$BFZIo^8PLf}0cXDzfW0bl z753_PnwJ^46ZK7$`B>Nb!z$6=v&cHG@Y8h4H{5a^ormVzrUCSw_ffN~zVg{f{{P$Q zlC?7~Hk zbqAMGeZb96Z9^@#EOd^r@j5jx2|FkdmIF5Zjfk)7d|%Wosd{{{^E-B~#d`6k*>opFYa z!nmg4tAVN6_B_5JjXUWw=F95z!Tmw!8$$7Hd6jt5tJ(19m!{xq-%D_FJx*E9Yc~LA z@96*IoH0qBR$mqA0(~|m5^>h`iy_ZN0Y>(9w!wehvOIKj_(I~%YlDk`KFh7XOgITH z`W?o3p;y0OYdO0?^D@KV!XHsGkmAtkA>tsvJSP7?9h`3M#q~4bW@`qxEJ5pQ)|Vzf zTirmM)&5%v)}9w69d&OI?44)pQ3quA!th76s0+^Xq|(0Ykn`SAsw}wCYo=KpXY&Zy z^X(qsI&TE(p$Lcs*O@u*=`WYeg`W`};g6`@jQr{HJjHVLr-D5zOn<+j|ND&ls;)ux zoI6*r?&?mKO11VSbMAZX7SMitI&87!(onr}79FBIXR99e^7qJ+4;#E@i#@5 zg3GRZz}fu%i>yEFUphB=$H`bPwW4iftIxtHuULsEbUqGhu+7?wNp$YB4qGS==hn@z z+(}%8bzym1qF$+9QS|?7S^gMT?3h6Mb4uYoku9H$_~@`>n3t*dYKzt3FX`TH283f= z=XAgf>yPZ734L`Xk@%>*5tj3LFTf?gP5iGcoNMC52XNE57WOZn_IjqZciicHQzZNX zE>HQ6wOn|YgrCl6f9Nn-zn|sm5#75~b#HK4plzV#tZ+lvtH0=8r`$L80N*#5=6iS} z-5);P_VdX$H{QiCUo+}C%{QPO&IL6#hUQf=8Fi8^)tHwozXDu)&!adOI*ogveoX7G zi!2708=fO?$Ue-Q&67TY1z+ACHA z{u|X8d1BnXDqDMJ@>JM6>;HqFa*m=p{F?52q7(g{n`}`m3OZLD*qi0+p`%M)2(nyM zh$j6F4DnYP`B696OR7J*=5EUKhj#<4y$KuudtN^U_IlRzAnT95xB;9sp9y>YG3R?l z5Z!-xs6X}v^Ltz0+KW3^VJ}-wB_0!pb3rFkp78TIe;<|W1@b|DqI@%M)9KtPJ`?LA z3LPT<(+0vH;pG)=^-Wp?`LnSC=Bw%!oQ-jxYzJ388d83K?uhqC)uuhxMUGtsfB4A4 zsN3S7r?7V#)8BjW@ePqD#(NmqCl$szimr9&J3tHi4kKc|1$X{vi0>6@@?na9y2gHV zdi+iIy+d?=V7ck^K~%dV@~Cx`Od3|bJ=l@kbTc-$Xo8@T5Rpj z%_wknU>~?@<{4?Z3TY4SM4cku`FgnJI-LHFT(sT;F1E$MPiOEo#6kbP2;8I{M}9i7 z^!_4y(*F;t)X$@>4zD`|e(LpZ@RQYiiF=FcMs>`rruT7v(hK)D*?S}OrPq1b^VlBP zcWl#saMO1*?U%5jYf`iIS;lH`Rx*`%*Sf1L7YpgVo;{ugZi34sSnia_x!-Q4@6znS zFuZ?>$;+Xm#$JHEi2e%tddyN42#&gBpv zc5ve$%f-~6!9}wc6t~=4@qNa5u?+DS{~G`ualh}+)?R;0`-poq2Inyq=p4yz`~Uy` z-;01Lc$@CQrKaAu`QZe$T44X)TW`*dI;j2{pJBO5O&pP${S;^O(fM5_&pp^Dj+2(N zutDIWax&_+^FA8({A?N2cXQ)2)$Kh~$HBf_FxA=BX|QL7IO@L$%+V?CLFd}GFv|ZW z%}M9fBIxKNI|o`FC%Gt%m-z*H`g7NrmYY9D;yf^4T&X>9!)%{yE?)`QiKgN7%qogH z!&erEu4+&S{dDc)BjKn23viis8gb$-ouDuMo6^3Wo&mp{PWP}Mb%%N2Y;AMWpVlnI z>gZmc&~@J5MY~k=|H!IQUb6GggueK@AKgD&Tt}S}1zW&>bNMcG*zUokd2st9QaONTM#05G4tdAVf{V>SdxwjTT)-31QU` zB1$e+T~WfaO7LWkGw(m}{`x%m<^EjXIp&yi&Z*aZXHn-~ox1kR!u*(jWe-o^p+1$H z@XAfS8da{wD|?Og8SgWA%%HJ89-fxB9X#6CGlTmMAMEX!@m!^Lg9de~{Zx$y^8eqz z+>9|^Yx+Ys`#J9QP5UW}-1<8<47bmO{m-)8b#$} zFQHr|Pe8e9lvzLd6qV=s?uM<;`FNCzT2#&kUjG}u(Xr$|qb8M)$@DKV0OdOB1L@oMR4z)UKCt!G!ZPp|{cE9||C!l-aKFd4T#PQBgwM|}5@Iu+O_@ypQ)N+~2ev{v zyOMYb<>6E=i`PZ`a!{|^sGm2+vE_0%m8ZMg{B{@#Ad`Ij!*a=oxE@+QYWMSbaU&_Q|I{qJnKe7Y9(#m0w-OKo3?`no_n zvOuoRNb1j}!m3_1WM}sBg+Opnkt9fcm0Yx4&$;n6m@pD#u3MvGv&A zchvsx?GZl z!3_1yi#8}{Ro(6)F8MjpmYaNDPY}=BmnhfOwr#Y}e6LTME$4CVFpkdfV%bE-v)XuYVWU-8DC7!U5Z zlh*Nx0pR+d7v65xXZO$0%ZjgQ{}{JJc;^vb6Kp40)xGnU$@*Hp{-4*MJ51TmI>X{i$ zJl`ke+0^?B>wr~l46gDrns+;EEVX)maVzGPoZFQ0cB;8{vp!!tVxKV4@yN4Na$;+% zmrsim@9==erFe%fmaCM97#EZ999&%pD{Xyv$ra%0!aCv`-}%7*`$_Oo*_VQwzf>#B z)zEb4*^Qw$?6Vlu)jKxhlbxssz0>Y@a8vZ3;g&mJ;-QycLWpN;>t(r)+X${V#1fy+ zh2`qNXwqM+K<7lxAEvrxaQXQ({6*0!v~FW>cZL4vWzdUKjS;6@er%%En+Z{rw^vzc zo-dvlX*nBNf!e)$1$wbGe2(S3U3>V;J__T)vJVS@e{6FauVP79ch2@V5tchEI)a;< z<7ocGHpG0Bt-isB4X;9cLGduFH|1_pex6SSS4$Y?n=0f=<6eI;xLkK`F7!D*La!?A z2N&70&#+vUUrceX4W@Y*et0PK5duCsbsx=A1BX$*XLfgFo1*CD%!zZ(j!e#=hz*|e6%vDQX# zQR7B;tLGzVA8-cu$9|%+AJXuzn?U0ju^jVU2EKaXk21WY(+bBACv#6ELf-f{zZ(h^eBux%TMKK{cg$?4*$zhq;LHdK3XJ8@O%^} z3w;c3-sJuR?KT*IcAY(w5kHF`M(fCx@^21&rF=GPLGvniQ~2}X2TlXH!r)&DVFmq zw4ZRlo6z&g*T$^St;>`UVIU_a~QG%o?}>^lx_R2g5(MTxE8 ztlm!aitmiB1UEBEVZHF8TQINK zy_4|QAr~nBr?yhN>G%7)oI^Z)?co7Ctj6dy|c|Zv7b99 zV<^txB%Fil>f0eUPW7P{xO^3j{olMTH52jAUIZTzJPdj{zREz$%}WpHS>!kD1CHM~ z-1pe2Q_%B4eaNTrKFkxR@*Rrjqc^RuW35-%I8D$S+RxK#AHIzTeAD{mmVU`1LOL1vVbmr8c?gvv9DKCTWyB*2tqQk3`b0UzDg3Wc z{AP`x<)+XG^6xwc+^Ok2RL( zezS32^ArIe)?ys>x5C`oh$o2J75+4T*un4I!8>H;?Qj$7ulj3*p=MHswZf?I?ZTpIlond;*VMbE;{z>8f*C+M*0F8T-~49%W{=O_d{o89JqPw z-Vi+J0kkXr{14oj<=4mht6K{&j{MU&aQ(z}v*r5i8R(5K^;eyqg?Zw5j75HA$#WPN z^V`iZ>u*x&o}jjO$GQ;BgK>_l29FS@GwccGEps2T2>MSy!ACv*7d}q8Rybdr$+gHo zPXyv&t18odpi*x5@El*UE_B<1^KG2+Hswv_Y>x3Vb)N@WZf4UwQEyj*%h{7XY`eN# zFY4Dp4j)k~WTVxqq6+?OAMH!JeDxvlzyF%};Q-nXC&nXA?zIGQiq8==Pj0>Ovi_zz zokuDthT{>nB*0<4dSruQsf@Cy9-oudAh z^J($Wo70!T^$HK@ozn-%r?LTeCjE&0QxvE7-;5Vr;$J>ZvOeZQ0OdJv0rZ!fQxn{* z|2TRtP@Z>bT@>GsIC;Wh`0Hczo-4!iwSZ5brQptzn>3#jgL+yYHN*jDF7)1~E54p+ z_0B+QSB+Xh@z0r#bH@x#h29*Bfe+u%FUaay)Lrtqvjh22n@5j=Pcq#bg$l#CYd^Ef za?_*;<@pi^mj@sJX}MZJ_f__SzL(a&T*3Zns@x#|fN9u2&7y0VKkV;C@Nu%WqWSY; z%oOXx`z`>N32}(W@hdbLd{hH)efA!>C^Z}X<$Zd?U*x0vkElMryPJ)tuRparkiORv zUd!Px;_1DZP3s9C6JDVc{3m?IcB;wrW<_Jjx02e@9rQTbte&ev1B~W z=MI0hfqn+vGfi|Sn*VvWAx?cPbN;+}fIP5zTW}8-C(FTK=juTH>Q^zq#?PAhP`ev% zQ66$_7;CwxT#@*dl9=b>;YrK~C%zHl;ZN>UoEtqCTRnevjppIjX3+EN4FWAUXI;Qq znkUVZGg~4pmyPPc-#mXoJ||thV=XU0_hh~K1;*X^I|tr7WON$za@a2HZ_fNxE3Mvq zyhJ{+e}kJt(-&JVCS|8_>?XkF_VOC~hT+ij$R3!V;_|+cmOCwe0e8IU_X7FjQsh%C zc!l`odspanSO<(R+eqIlI@Mc)t5#mV)`zv92EDj4hxC08^|oAn>Q8*d0<1^wd<$~R z;9Bgsk53ic`1C zgZC!=md49zm>2U|dzZ$#Gu=OtPke6li~p8_b*grkz__U1^!>2RRt4jt(rDeOH~-N2 zmFl+Iwkuy3Cw=HCaBT{J>zedlrk*!OyUOEdyoc&FEuhz@-$O56zgh#Ip0sbMghJ5s zimwrm{;(c#>b-TSzYQi1bIWL#IdR}-MsINSsWbA%U)};2>%76mlXFHN1PWHK0>|rbl-5ge4b~YP1ir6 zm(x%c{762+g~Y9aJ2nev>w8T5L}b3e=Fho+?e;YlLue@ONQUzwBq zH+%$l27E+*#JoSiowD>jyc#$O@o+|YV0Q~qyT2q)w>~QAD)g*deYDF9R9yrF|bN8b2Zy0^>V$SCW>O633--lw6LuG3e5I~^&` zKkr~Zn|V#!#%9QMat!4mVKePxu8lDNdFyC!XGMGLd-9yX`?z|RM*3=}NZ;tiZ0jR) z7NdS``2gw*6cW{%u=6CDQZXO5Mmrr25 ztFa3d+O7GS{N+OUoABN=uMTDI1N&Q`zm9wQ#)erRRr(P)A6t-kFIVc<%Utkhk1K$Sk310VcDn$*)8Yc< z`TIk-x0??2pqFR*LZ6XGFWau(P=Vq+H3{7DdDPGPh=6k7hW`p~nq=*3^?b-l`0HBq zy9|$Sxzy@aqf~G)rWN!&alm-+ofMBc(HWfek5iVLpv}xkGUbx$D9LKbH2kq z#&dt7^QC1R=}&v(er4k5_Zrj0fSa)5;PQ4Vy{AMU1ZU6AQ~d9X&a(bG*KYDZvjkjE z&5Hem&;I}}3y%SJHq7?1dLEDkc~F<>cOveU<_BIRAMvsqNdK7Ay=ZbN%IE+4Uia#2 z%0tm#D4$W)v0mhFli)8CM`AuWXGUVZ^KIw$x@EL0i_`pcW(|SAEE3wywkw8Y?vn*a zP`l}BfaR*qChFJG`Z(WZ#W~o2%sm?fvMB)H1oH37PcIcdGroJIWd zAX+cOQ?Y*8gt6dSFUGo%$FAqL^~9L^;Lb2X;~N!O#>TH6uSEQ;|2ybKKo*RqXy_Jj#P{5mV^*R+(+dQp8j8 zIQeIHg`Tx~GTCz7ARa!fPt_ZE4lG0GY{Sg?wxTfQGilC5+b(Z?4?c278RShqOvZgi z`?o>6Do5t`jkQj!g!aS$|1+qr5?qIsz&S3vcR-vbx&_ULZ+BNC z&gXB?u3F;%xg2?XtupXjc_`03X@o66P&GN9URhr1h&Bj-&Uonz?BHxKzQs z<+X0DvF(c3?8H42!A+%c8!cDS6To??-iXJn^4bP{ji%tbP)n?L(W&GH=*u(!R}o=2 zU)Zbv;3GElM1Pe_b;s)DkaJV*r|vWr@v}AGW4*Kazhb_LX1OUpZ@tm36W8A(Hbc)F z)P}#@nSlQC{omvMAnr-h-@XkllD?l|{mn*Nr|JrQ@5eh$nP$1*b)aXF;fP;f|E`|( zH+4F~Uv!?1JUc~?V4kypuZUAW*^K!0;kU@MUJ^<^S1NGy8= zwB}0q@4rtzMMjWMa)~MMc}4AVU6*|P3r$43jNUucReFz>c`iV&q$m2N*8dE>6FoNw zK3{{t#juXx`t$M-%QMbn#A9OWW8C?6h4)agJ^*_2@F@A@&V_x9U#9(B)=R>;i_i}$ zHp3_5eoOsr9D)4HIU{l3a3<1xcAA}l-rV{Z_cSN<0_FdYEXcD?X@~qPmqir+=$+v5 z+8(?g$+EN_osT{kFQ>wn>^6Qmy)Na`?;hrZl;yXB7dVS}_?g|5w+i)W-j-eluKISu z{wBWB@5_#B2ehk4je$Q8**hQkY3K`o8-TF#CnkcHlknS3hI@%C4I9uW}$B^?n=i9Ct>;r)Uvy$veT{ z$q_ZsauY-MF6Vr6a6RO!yX7K*){9t}d9RzZqmSkM?qK+c3iO`E9=C7dmcf}%KAI2x zUSJ#rOT)RNU(Z9F=1Da6ZL{Qau=Q~+)Axb$a5&AY(tSMPvz*Q;`Oh+NelZ;LmW`wH zLM?AX38wsW;@n`0D4Yun()~Q{YachIGFC@#}o+qYI=^zx*|P)aicSma}7X;m_)PL7e6U z!}{gbYJsOzoc_ISn|D)96v{7jHo`d*Rmzn4nD{%8r ze^|46_&(W*Qs8W1Ny?l0ZH8@Emfa36Ki5Hj)tsF8en3BMi*ZpGmQp+~{?=A+iadj! zkEjkktLcLKgK6(U`U1IV98a4^sYpqA*@g*(Nh$t^Y#0 zKd>=Fk!Q9mV43COe੪UihUt^y!rH{dfRmnm8`PJ1{uRp|4eqxJb{+MCu-E6yj zKE22Bk_P*p4!F_Ka%WBEK5!_K&cW4x_O)Ed5X3LWZUlGkWgl<3ZW9ge%(_f`@I?Av zrD7uGr}t*GE5@-utzIRJL4KS|^nYvO#YOBV+~*MV+J73>7yCXx_B|Cu=ahVO1Y8F8 zn+cyzZK>T`7s2(po&kt+LN;)=iS(*RiwTI+Jpp;(o^=1z{!6?qm;SrJ_42Xs5gth+ zE$8`$&^SKJhH(-5PwlnbOn**!9!&4!+@;0bSnG2#l6bac(s%iT)?MR$;HtnxS}*4Z zuCaP{b2+$7qyHNbK4n%}Ze-?r{mc2#^Th>MTCRuC{nmL--`8=!L3sZ%9<=}H<;l>C zYws}bW)baI?8+x_Go=RZCv5mOw5!{_!?-AyqyBET-KG%~&+JN+&qgZ-Th40CruY}M z1vksb(>-u@1oF&Zc)~|s>NgkqkSH3LaZPF5yX2V%ZoU5R?|)wg?mxu7Y|8uoZRdfL zuf#n3Ke(?8_Ca%K>I2M=TG@PKGs@-7A8G#`ocF%vy!5njmWy}Gh|k}SeVhMBzo)4B z^!CkN9$d-WppCL(5z^%KpfvJ6$TEp6DJr zJ~jiJZ&@ggS@eGzA}#w&@X%&hw=#b!#nt)lAnRk^tN_<7TEkzo9~)rxvP(1a-Se30 zCB)%(Iww3kbn0TJf3DRyFIbOj*r&`1f%sL#lS$S`GvgQ~^QMEVP YQ3sP2SUsP4iTL%xXqWwWJ}mZs0G!eT-v9sr literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/7.npy b/MP_Data/pose1/12/7.npy new file mode 100644 index 0000000000000000000000000000000000000000..de2cf21a0a87bf0f7f4e2af9a31844d9d3fc13d2 GIT binary patch literal 13424 zcmeI2=UBn-hNT>GHde}+_(4g=6ud~*0c7WJ@p(;bl2Wpx_f=Yrm*R*!-h{9>hIdv zac%0`(ACXx^&RgY;6HfWpz;30hFjit@R&)%v-l*x!4rmOy|3n8zy2?7)!m$6=l}LE zA7f0$%)jrE^~&$RNVBi1!;5<_?JKJnnQq%vjqLVf7~16lcEvu=GZ&#HC&$L6k97^p@qY-F#u4JHH zo@zt!L#SQv{g4jdoTbS>zCGHVi0t-pUJq@%sPw~C`^pAZznGHsqViHZORbFOMc!7_ zezN&F+pZU8Ki{Pe^4C>*-GI-l)5f-ot<=sxuR?ypZ5!IPzbD#da&~({#uNLTncEt5 z)??ES+vjCOChDtJ<+x+p)tWIh4wHvz+s;Gjd2xBczqVaAxbxh;ij?!4ZM#`kop{w! zmn`RHs-m5(OhbHKtRDIIsE=1i7kG!~kJS7d&&O3kJjUX$S?>I_k;Y+9$2Yd!alL@& zbW)y|XcxQQ+gJVP>oc}pRvbrl@9_-J^Aah>w#&bFy|eA+zeGIG?mt9cDt{uL=ihr> zuQ<1W30|F0VltSx7_rweuq9I zKF@5A{6!Kyuj)T|Y}@7f-EZxysvNo+&-eUyp?%N&qVb&b@BrGK=aGrfCFY1h`w<^{ zzG%=F@KdXzQnH?7uQO`e_j(~cZ~ja~yKWx0+j5ytRJN~tQA0eh<^CMpzVBOu;w?Gw zrg_$Tr(S`((8V32_P^$%9wu|@b=xkIM&o(o*5O;8^`37_$Mfn#i6^#Q_y3CbrhQwq zi(18RSwFF$(iPio#tnaD->dmA&~8Fsth4WRw@t5XJL}#Skg-o7^_Rlq-H$`7!{}7Rr7Fs>~ndZN|P!Zgz*?uv6-ZRqgJ)LTwcWT}X0&gn8 zWlCk#*Kuo%eyJwJojL=-W%#`%RxewIK+jM6gY$#87Fe#{hmp_tZKPk&V?OjV=90eT zGjRQK+FBItFwg~UV3V?8-_$|8SLj`kOJ z@B`}Xyu68Zphh)>-ZaSsmzA2vS%1-bE6vNnEl?l+=NN_fb30?7&^Jz?&Zb#c59AYA zl6Y`BIIq;cqvd+~ecC6gKLcm`!`!Wpxv-qZYsy;UVSi16e|R8#Sot{eIefmI9Z;GIGJk zc@|Imi4UDKD#u0WowS_cR8vHZEC5w}%maJF+I z&6AVEFyENYq&m!~2Ch?qFq7t6xe}OfY zKC|3x%hlm%aOE+Z=3Blhs3+g%LGwo>QT}7NV%*S&K@A^&Bo;jfEq zAYQ(A56k&f+6SBi{ji@X^OpkuEfsn(F&^_=eeOTYa4St%>g%?i$_`?J#;hl=4S?fCnWD+@O6|Y z8}S(a>_+pkmYXXBsJ}C&Q~oc9`dZHNQT;_h+8=a>R*0(>Hlci~M?)_g9i0cC4Q>>7 zViDr&FJfPEhMt5!KRN1xht0302l6r1D-u7eQBTz<_YB+4J}~&mm@OCWd*vA;tv{cjr3i~g!acgzz$vk16&GMeW3(PI(T zU+sB}xVrNy;^T&*U;OJEa511H>a51!gWkwwaQ@Fn=*5AFBdm`+bsAiMpz$>|HU?Sl zjHUgAd0c~DUMP-zj5W`Jd}Lou^L%fWc=%*~g^zQ41N6?zbD@?SKRUm}$!Ku3*?+F( zqG5OVsJJk2^X_*#ccy07;Z|L`XEk=k`f@^PKQWV5(L5~N9s7U?>Ixs;w-vZL*&OF1 z@74{R<#_{tetIRwSFEGByy||68|I1m@6`Q7_1Sp|oOS#vZJv76TX0q^gLqgQtUF%u zDYzI_0&z{fl5?z{{b9g$v991w)#qWBt5M6z=fDZ!zB*+oF{+geUtJzy&mhGd0r*|KWII&t8;>^UNo)-A31q2t;f6F zBazSgbCiF-{>0xEz_@7tauj!COK_*?aOh?HXz0zux^xd8RB{UP$)NL;e>n(ls-^l{ zZVF|u>xk{>mvC8(`+#&f)`cEa5$i?dcc1BD>r*8dTn4*feVHQ9`&b`2@(bo(G@k0VzFj=>S^gUHM1<5qoq5Shk=EZiDkz^n z%7V-2B>|T6RXd5#Zwsz>4Sr_NFaDOsOQhx@pQdAdtiS9u7;(j~Tal0Wx@m~z?Cvsf zJ)k@F_kFW5maFZ#X`YOpihemkw@_z?*Mq~06o_)ss6v@n*g8K zL~wQEPxw1+w*_0y9?d~MyhwNQ$!v`MT$f3OUQWpey&Q4~>yC$=L0s+9hweG|pKP~r z*_#OH&7ErSktTU8_%qs1WP64DS;LH#Hm>Tni{k#)4f~t=)g{L2o&8(Dofcof&4+cX zE!W2nA+9m|DF0DDYr&iMhhA3>r}=-cZ-V9Q#1ZJ_v4c2wOzVgh@b~=_c{+!u8v9-i zDvJ563ihFKobm(KyP2b7Q?lCm%`oWI=?vsAdd?29oQ-@Ae^EV?`g8rqO~dH#R}TToFyN?)u!bB)?bA#!8q#rf#B?7$BmZre#ha%6!n)sE;s`ET;ow6ap!N0 zixe44t-sTd?g?T|Ppk_)A{OVk^UHnY$#Xr#yfv+Tqph9~tWG|K-onQ@<4Nbsxmw_| zb|mHF{+aHj@A8t*@vm4HGU?SKn~zxILws9v8n2tXLM=Cf=7}h|0$lcU@wIW;;@;?& zimFWO?&!SrRxcA~!pB*fiMYC8z);Iog_qzmBMAGR!}e32!(x%Az83|5^S@Jm)?dCq zMEO+ROL6PG4uekvgE~7&6;U6v@SC-kvpD*mLAU)I=eQW*Imh}qU&_Fr)p$wgd%Mf? zEEm;EfODVPSTAPr1Js$j6s5Y=4I@6F6zZl&eL+6DKq2(kDY#$;eA=ZEADjw*>D_#~ z<*N7z;+4*W^TYF@m!5lxM;#)*!UOxK+(e&$bq@iqJ#$Ti|Lqx6=YXQr-+{TNc-Z{U z(dPo0>n7HPDjPWu`T=xrXDd=re?Go#Bg=JqEaJ-5Y2eP34}GkU$wT)a(IXjg87no_ z>ebBbxC2&DKGouI?wE5K@KLVG@L?UxchJ1@9glO(d`I_2nX(w;E-s|3 zu>NxN_o%a)RSsMpxUmdzkJ0y~eB^WLSL_MwpUUSl;)>iM*gqZD)0jWvMl_A%KP_qA zR_TcP>n;&Aj_Z#hAJ+a7>S=n^2WJ)TfSbB?(O>bYH~g7@_WdXS)*iM#&blC~+w4wQ zUux;nAe*P28w0MF^oEako~OIz#^V!>S79Goj}7Hy^s9Fd%0E{QjH6W9`5e9sy`DK4 z+=-dk+UnV0x@W2bUC=Kv&<}a)$Mm^F7EVVUv`;+U!-FbN{)0OsA1Pi;_pm;nCQ{t^ z>)?8Q+BnN)YGrWgQwH;#c_;L;Tz_ncd|0RZl+XLAbe^pzjq~&NjrOqy4RqeiH({z8ns&^EUFdoTX)djxMtl^Hv-j8|Gno z9DN?)-aZ&F)jxiX<-%<#eALb%r~~u7>~FcMa~hnDpG~|)NN>w!Jv#T*#?j!Wc+(as zS=<@f7yVM+?%=X%Fy@aaw1D_^T1V!~%7#|26Sjhja!JV3xsmK{IZIeh`)Uh;JbArZ z_}s+r(RlH$E||~K&%wH5bN&Y(^BdiJWxZ=yr%p;qjEi``5#z$Yy3x3})4Fr6JSP6M z%Sszp7AL(k;SjhwR|?$uh4v*`rxC5A`3>lM+H?+ov*0cH)c(2(b=W}rhV!xr^y*F~ z^5G$Cktg5&3;L@Am-u(azyr;f2c z{Na2Wul1iXADI8Mk>Im}kf&~tfN{}D`Kf($uqpK7pF;5G^O{1>uRgkLbt2)@1n6CJgUed~fvc?( zM_bM+jRiN=UV*dFxyZ*vM^Ic=9C78T>$9w09!Uk)GwUO+DN`BuVg0rZxTr(>xeDxp zd!V?!iu3_Nlz;x?xUWh+0CnT>bZ=J|S8YbVt-b>n;m4upH-qCXH-C4AkJIrc=D*mG z&^{%Li*3m?E(JDXACqBpztY8afvdLdvF|C5phZ@%U%#Td?K=#;n(vBxg>fqZe|h{P zIO{wy*y>FYsQ~WnYvBL+T6Wzejmx1P^F3_-F;@`ROd3o3%zqz8z^D9w;LN2X z{P~t-eE-bLf22I`zlT4sF)iHcRgv4&-<4}A?(oByZ_Zfyzq9V%6kO#ltgK!R91K1G zSPuD^%J;p%M{ERFF?DEOecm_G!`5Nmvx8ZbFRou zbyhuVV%&A&7JMGz%csIe`!_~C^|8`Z;NP?#<_T*YN#k`T&u+_|tyj@s{cbbr;EY&} z{yNu_!1=RB;A)kF`iMp?;BPMWgFnyH4(o-*R0CI$o-~g6k_K3RvE(4Q@I6ZFz0nG3 zxsspY@4Q(|<2x|~_fqE@+6Tn(mek+oho+@u>5Xdv_~=*r;KLqzhghz2Q(W=gtyJr) z18ZVkvw~^R%PV(LPm^mL)*b6mobnmai0XW^T_5WsUEYDSz@I4YwAd)?$NLpV-Hgu$ z#8oqUDa)O6dyqf#{SN&#-!58eeN^cORL@dH!Q}`q>Q~;p@aOrffUDo*gRP!VJq^8x z{0DX5mv7SNqb+qQp9@~lJJk;kw{hi{%EY%!1LrLs4X{4)LIv`#L+i_FTey$avpR?2 zuiga1Up(ys0PP6JR;pl%3Cpu9W}%FVb@5wGnz9;{$Fo4r5)jTPML~ z+nl(Mi8VW>K<{&m^s^@7ex<^?q7JIP26t-zNWA$kxG(XfKfu+jQ`Fy#p7X4a&byoR z!{fl!`v&+N#E;WDQt z&i-CEAOz>5so#Y7{F+!VVn+u2dFL^h54_+6+8#O{~#JAIZK=<1=6M6RA2F`;EL9gO2L+^yT zAWv~%u%cTiSAYt{&-sYC-qv{$JfwtY6^-W{V{ebgSZSA_i#x+F?Vq9dA z<=`x5c%0>8^8xsX3uVF0lM+FeJD>kXo+k6BD|r5NS)8-xB%Om<|BpgF*|AxHDOq}1 z`8Ir%AN?QDJj{r-+{tW1`$L1b@E5grt%hGq+RtT0@-YDwBQ00Qf1~=W5_FH6@gMF9 z&e9&lIdNI*&=jj@$#f6Vd+0u_!g`E`|KL>Q!@@rzt{nM$2g{vK^m_&~#fSPEkdw~w z2c0O-O|38=`U|xQdR~L>=O(o&?xj2-2ja@!EomNJsE5xrENTb1b9^p* zoY;y{*2g@^KJT_9Bd+%B8)Nekk47Udcc=BDTnyq$u@7-Y#$EWxWzXo`=|tz6$n6Io z=fwk=&e6)8B%v(8R?J66W=gSSw4qgT4IX%}~&eEoU%WYopQANGBTCRPXQ9f^4 z(>`$X>srgzwEE!AkQh2&{QiRvZ`_;eFukV1^M3yX+gIl%{a!^x<;Hr~`MhIOtWUjs z(5nHo|L8e;hgmLub%($9x=i(t_zw36JywwZ$PI8kxA1K1ubR+0b@pX{?^i!^rsZ1x z0zHq5LjL+?L{r4Q*O~lh&%t={v}Ks*B0UpzHiI@%{=VZ-XJ^4e_&90wdjnarYn=7x zPmdB`x91M>Sat?JdIa@Lq|xUN_4LDZ+b;gPOY^7VE9%$LK-5Q-KLPHv$^du9-$h)V zw>a`-qi&%;1kk4W`{UghhDeL(wBTt2!E)u&ynK&zJ%>2rs(ryRJP{~UUL zWf=08n`z$=H)63LvKgV^BB3+%yu6xA`FB7*{P)Jl$N4gwK8OB11A6{?KgBIl0Q(qw zOZ&N5oQ82%pK67sWaXpU(z@e)mQwv!2jRY<`)1$Ma%j@mu7YzxKR*M1-RWD@S$r&r z`ilqA;LgRJRR8Z9_TRjU6fWIz#5dAVQ)^D-g+{nI{ zcBXTj{nmD-^>MnV!(Z)Ki+ogOjxft*9G#o;`EAPc#e1A<>c98U%UCz8UzO`A>d9JX z@2m0Kh<|E1&ie2k#gQl5-vvIrY+C{Tp6*?8ga^1e`@|b@OVIBsO>Mf@v5z~vz)KH- zk6BHhvsl#3#vWPz>U<&e*DQUG{;JZa>D=*NM0Fdt6Z%+>?y@;RtmFDNjOPIHO9ra5#XhL~z?$g)iqx~Gj)i*}rJ|o9Jinl(F>o~;ap$RmO zi{1r6-_Mou-$MUq7pv;IT0M6OfZpkx6XUCv#bFS^WGAYmIy=Gc}Gsqp>>AV;9al*gp1O5I%;JgQomovJ;MCgyuy+s|L z1-)>eHq3JNh}Nl|+ZF3V$9m+nT>D*sk3KjJoLxMNeS^QJd7>B4e#H}yjcWrO^k z&$Fms>w0@(`Dw`+2`~-UQ@MqMA6}y9Z;zSLHUWVt#II3y?;`MsabyGZ zVncxd=wIvvcYa6(=j|t>p6cr*aQ$c#;;OY@VyvE@8;|<%!P&oCD{~C{iD*gVC7MgD zFIDqf?0dZZ0`jlEA6(4pG{^er+-nSR~s(0ex~sZ^6_nt z=S02DIH%OY-gxiqqyJ0lg)b(<|N2i9uLzwBGW{*qohcQ9^FTi;jCQ`P49*KNr$6HI zZ{qN(TED?M(mC7_S8lFM&%GHt1$p`uLR?+_E}dVG+RU}wdDQ~zmVcK){oD4=+vd-Y zB!bJ(j__xhCxhV=*$TdD=?k=*{5!EP@x}$9GvRN^zo2WR)tjOhu}_H-Eh+#0{?jaH re)qs-&D(fRPmQMUe>!{6IC>049R8&R?yQF(JZQZKw!k6 z@aj!@b)O)w>YluMP+0hn;R8bZhlK|OI^Jf$u!z7c9uYiXL}1qE8uc1CuJ2jXlSlLa z+rI*gF;#x{9p9{{34Q*zd+OEpc5>F!9{czNpBopui+0bA7u{2KSGQcdD3{&-C=~7T z{u#8Jf)mir%TT-ecogmGY|b?F4?5qHNZmGYVM(tu#k9)4&4*l$sdz#;ioKMbrvKJpPK2f(C`l~2E zv*yD=pFG?J+uHCH9*7sh6_;mViw5!L>(JppVyH0!X(Dk#& zTO!YD^Q;utU&N4q*(T2o*KQJqpDtAP704TFRO+(hYQ;h8p3Hyu3)jvztfl^^|3h57^C9%- zz5~y>cDX7Fc@@+CM|qvR26@mu)1JF_zH$@#>t(*^Z@M=`e{pKXAFf@udyIKCmzx@F1nY*65C+o6&b+WVHwsEHWENaIgZrSS~+C}K91jlXf z{R`bwcIl7)GHl#?*so2FOLp!5YhK%Z)-x8Pzqy%!b`$&0cJ%WuS=BvRM{o4E#glT1 ztdBgp672Q+XV1RL`fO$uN8F<5F|^CVXOT}6)!+)+PYp$X{ad?SuD^~-M}Hew~iNuAf;yi0nsp$Gqw@wP7!pQ~>9{ z8mu#E>aKA1>iGcT14}|jo=I8bxQ^`(Zg;mveX8eC(C3#L6Q9`y`<3{6+5-3u-%R_! z>i}@}>EbZoEFG4=2JCg?ci2C;Z;@Hf-o{o27kTP{+wvZB;dj{w+K>3fbFRM{IV0L} zQ6iH3_HTU6aWN*7{N5h}ZZ?L3%lUGivzHl^H+gajxccBf!*M=y9QhrbNIJ!GO$UD% z4bBd}0_W#Hndvz5nMC|Yzw5qE_w@AH;JK!N^Wc@>>~0;hzeM)B*;iOk>i3ajoxPTW zVXtrIqIpSA!a6Yi4ZuzN0^qhm)uql}>|BSs;vZU2e&#+}?fmO|ew3fDQjurXWcjzw zUdEQ7eK77{aC7EeH^*%?i+PbLbiP>6DjfP-7SaAOZVS!hn3E%&K6@8IIRc#0ke*K?EG zInK)s23He3QJ=QolkvV;TonBs`YLBVTIc^O-vv7V#=+kFEf6Q)96Q?C^Ra7?H}fGs zoj1Yl5**hDD!^W^y99gt`q2!>*_GzdH~DAMI?B8_-s#KYROdq6$GS7;uEsge8__vp zUQVLAI+TgJ6`NmBoCg|#v&=WBL)P*X>6e)WZcZPV=5*M#;+S{)Vh!p1GM(1N#mBI> zQ7PbZ>#ixzUeBBkE^E$1y$KUC5IRG@hK}+&i1@|nX;`QF=vP!%b!vd~wHvXn+1gf= zw~;+5|6liR?R3oE6{NrM9Occ#V%^!b`-o3UhK`+5a1rdMZUr~L3@Ac$x%aKVesrwBzF6zhKYTtwEiOrz>J$A2R`5{eBx|xfeLjug62*mdFQv>wTf0 z2jeLrd>EW)OYnm6?Z#VqP0Wk|4moI!MKbKn3c)R34orn(};Ii;I zaNR8c>qu6(j`(%UEo7hLRjl)?*JOaR+m(?AG5s%EcW*X>i?xi_#oVod&fe5I1TGsE zCVn?ztm8aqBDnhg7W9SsYPjQK{d>|G`X|+MaHZwYDVe>l$L)c=E!Jm}<64zN{H77D zUt20S;uJ;Ng0o-ZNZ+Rw>X4;S9?T~#>7LamKFaB+F|?oP*P9Wi(m81#_^vhSkLm<2 zlV0K6QT5t@i;5qhugm{H=gxBSEA|}+=V4_~4?6fMjqCFp;HK^d<^1xLhv2OL3ve58 zpXN8_2Dn*XiQ;L!9qUooN+X>kJ;8OPg1s6zpX|fVW1r-Q{a|l{X&>f37b%}7s_gJ} zeyau2xDqPSdig$MiHk>cxJWvk?$NmTvC)p}gS3CD7SAcp4U5Kt51{*l{$@CIOk1A? zj+?kYD9)+@;A-Z_sgCm-rQugT=?Km$bcMZm90Yrt-VFPa`Ro?_+J(i5ha3mjVJQ(# zM{HdSu3!8@`&;AXm=`_52kSzYtcLX>BBw?9I{RAV!0oriX}_BK=K$y&-Un_rR>gYJ zwdYYjds2Oxw97Q_MasgjY_}19*^_FpXYcyqe9>1F#q;@e_~p-=Vctb-4~pNTK&p$w z=zk_Szgq8tU;f1698~e?(zUZEwZK_YBKCi~ZC(ue^_>SDQE4Qdo6nl{ah&Ioq?6YJ z-27ZE)NxxSnc@r_KsxguQC%IQ`cZerQr=p&U!I(0ujc=Y{g#J$BhS3t*7;6Hm+S+5 z^`;8(V{gJ8mmRiHoar6GSz3{XPDgrW-+$f}1s8KA@+=GgK>1m|7xBnavjd#HzOsPg zeAo+I6?>0;fVa$zI$>91FfP%-4|%pZbJ2Lm#36p(BV&$>$Mo=|IRDNAdmVZ$5^?tH zNIEa_QXPKSzuNibt7yNHN5d%o4(oBgv!;`f2eI)j<+*pSZBB>F{fJXG&jjc19*=N3 z`Y@f>iXBEgw))@Ej;j-j@-w$P>`l$md&RlUKC6rzrXgU^*bTu zXJ;?#&w^i*qXETpEZ0!z{P&9TSz;UFH57nvoOI(xOSD0E~(DE0w! zsOdE4m*t`Fm-y-nuvh*CM>%`_#s@n3_&CIGB8GkHIG+;;u8Q;m=RYTRcbwIk2+n<4 z(RjVQf*n^4GLbiymO=B9hvQx?E7JW+JU$6-YZmr#_A-I)C;a6`aPeo-cga~?)Om;e zsGOU@S%(h29A|aueyEH81+F@kZRNNrw43s|=OgL7%IN0w#i3~w&u3%FKKj}Q@O&w- zXP;+}w`<@a$4yi)<-bQ7=0(;%Hs9&nx%A#4X8(Y7VZ#D(j%&Z{^Rf3+tUFz9&_dX+ zrSpgl&q3?xtQXD~t30U=d#pq}@=O%ze9MqeyWa!z!W%chexf7&!DYp^;4-1$WEUr^ zO?ASytS25@Ai((*$J^1kPS?k}6aU4ohrNv=ot61$zCJFNj_aO}z;#+I>YPozfjIf# zxrme9h=;y;Q9sD(vvAsfbT{^8JJuZMsOPZjC7 z{TP8f>-wM5{HoemN22U4is$-$ZC?fJ>fkDIaTIix(0xzLY!5DW9Qo04_Kfb;`uPIlCl~aEeSCMyL&qgp zk8E_`Nxsg$!FudhoCjdOSj!%39GCfKk^R0Q$b&vubEM-u=r}m*IvZS_{9h;7UoJ}d z4ET}wk%0EeS@tUUI~s3HQ*fS?(9v<>HI>FY{59>v>n5~v+@@sT=j;AX`^L#X1bEUs z#3>(BoTjeb?(6iYpCrG$6zW;|m&3Z#arAyFwv@oQ#36d0Qo~DNUc{O`m>0IW8s>$o zdf+DcInCEhua(ZPnoaw&DR>&3*D4Gy7hHy471WZ}U76~0oW1s;_gS`tQ9O0-u7XaS zFZ5-R3dGCb!M?%It)}>I`e3}KL#`lnBFWyZv83FQ;WtpE>_a-R_0c3 z;v4ToId1X=kbO*Ba8+#OWXIL?Rp4R=oeO$j&v}kp&x@4L_%^U-OV5pVT&H=#UI%4d zbf5XNf3TnM@Lb^LVh&mtA54gAXQ4yLZ^>6=f0N!%?Uk9}s!TbuPrf$=e#1|Lvk3Zr z)$DJ!&~fqR8?vvTj(yCwW1-Nmu!8glPlArgb85chO8HaXQcr+$y>+wWrhg7_@$d{d z`#66&^nLuG!|gv*&*wHbPtLN}b#~A^9!tbNru>Vc{$-_2l%Ig!*!N`nbnIg`^dE4Q zegXD6dIG%{A1DHS6JG%K{OWG(Gur3`83T+H^L>in8B|AFg)eZkc|5A6TCV>jq9 zb|2iF?i}Xg=O?r4r`%f9kL+AH!Re?D3n-oj1;9m#Vrv}dh0?O)nTmNao9a(@I<`|P z>}Awgs@vd|gQ4T`0$jZ90UhQ&oZe5HJ|liPH@F$lkn)iCGR4_oH}c6Ag+c zZ%29lP(V9uRxL7d3J=s;d z56J#!VQlP4z6EHp0BywRIz$y}dq?bWXHKKH1jEk&f#ZU8zpe6EKgmn&&RZ zjn8?+&wlz98Duev9$yPp9L4V*BSOUWLA2RV{i< zOwN+G7pszAaqk>-dkq-np6bi<;IiifVBz`XDePf2H4UGh6~ zVw}_A&px4b_vO!s-*~msj_dc7AD&Q}^1MULPj-F>Ucvk5t%Z?Dtu zZgSU2tQW?PQ=W%kLLOL~INaMs@7iQvGz2tyUdI=DPIUp50=1oisP>FdO@;3AIJ zFTX7NyEsMXB+BzX`dx-ks=w6Pi*t8~5AlbNn)`1!c*YTMF++meg-w;?Ja{#@Y&`;8 zPbnYkxcP91bPgB4;p^=B>=*@|!sJ&>n1K5ge|8di5U+nF{qF|P$$UgELtQY%VH|X;bfv5-8c0AU*9QpSiU*|Vx9@z8z z5zrAkpS5v1#-}K_+CCOsy&u%waoJxZPWiSu&UgKO5bZzF_rYx-{l01A^Pwhc6{ zmgQkDy{E&T=caXGiyfi;Ep*vuE*>4$pW;7Wn&KS4ImmJTTPAeWuC}N*J7YHX6I*p9 z?9JIesj&O<6zX4hoIU`I<7bK~MOzXBI|zoU6yeW5Pm z8MzF8%^imI#bbwH-c^ox;$H2cFMnO8oQ`Nf`C$(ZVqMz`HF571i?h$!N}SI91;b}J zed(Vc^P(fx5g)p9spBScKk0X<4sH(a9Si%k!-$jZtdISZM^?l+%aXUjo~@~feDXQ; zK4r(IgR2wSzXKjUvBbqG3pIyd`yGS5{NllCr*F+8%7Y*2$o&2b99IE5$ZzCuny<3G zV;pByJCgmVVc;gH(-?41x`(iu&A>&T$N2uxG=oF=?0>Onm$y$bq6GvL=&FNr+pQdbu`u0BpA{fD&wvklKzIUO}24O|Z| zMRj%KAl8@J)SdE>cQ15Uv$)+(htFR}@vKimJYvVK*3b!gPx^6PP>13|zF^1sk}Zgb zPnbhGM{1xBSs0yn=F=nat9Sb>a`vJrtw*saC)R~{`_78Ja~>ByeBDE>Czpl-$6uQ88&C!@SQctrJ_Z_Rq&EPFP1B=N^V&@oM?Y;{}~ z^CG^c2i7~^)^45SyiGmQzZ8%9mm6O}M^x&B@v^5)Ec&n5KhZr!JpG@B&RYWGVz<4i z-WJh5qmM;X{#WWj$yxTQuP6Ea_6Ejl`xe9fLHFtleH(cfoaZPPgLvN5CBF-DU|#Hu zh48B`)gpeJeve}>Mpr;Qi~XR__AjDys$OpGIIH{$`D6*Z5x@QDKgn?=v-gdL4QO07 z?NZ0>+a&0#87FVJ&pfFCbVPx?OSV3@1_0FzPW%r+r*W~zaH8X_YHYtEAf$MU@tNb;+`hkA1D2XrI2Tv zxB>YW9&;$pT}Qyps_NMHETeNljE}~AvD(p|E>88&SBPJ~rQZ!r#qYNv{v9dsE0cah z{AyHz2^jC;g~XTir2VkOEySaSw1QtTZ7k`RsyEl!^TuH`Uq$JCSysHh1%98Mg^p=F zhtAUrr6wdh`+k>6KWrDcZXYM?CDs0n|U6QXKJ{8T1~+JmQgOUS(Q<(_wye z{}eUXfa}uDQMa-?y+?}y9VpJsJ{?^=Cbk^S_|@IBe@ED!8in|q zaKvvXwWT__U%wUNpF9Hgve~C}9(CM_eb`n=23Nndp#Aw$lR412_&2znup2sZU5*is z+c{GyKXpDu{>|$vSih#OC%DkZkRR2(bvM}W=?SimC(}IE{WikIBWKXPMJ--P_PweN zcARac`;W=pAM3*A^z(LHKR8V~4`+g#&vs+|vSm+bT>a~#KJAp_s0S;qf{SJgFfLI# zezJ?lJlqW({WKi$@B(a}(>D?0DE^c>7_TVzC;NdE*C$Epy!d@c^7vnM?Hi)8=45tw-hD&^pus(UZn0O z9skOxL$RVu7w1>}Nbfts>jd^aGwf}B$Ia5Vl%E5ez{Ti$Jsjr&lZn^g2Cf1hV}5ms zZQ%B&G~yni$eY=G7M#7>3BNKj|6-@3n}i@gsv^~=%zcaYlYIL~|91B8kIWnM#XiP> zo7Cf2cUr_uh0e<6;JQgVxLF@J-f^~y_6^nY7`Rv!FbaGv-N*F21hU^be}v=m&KAmB z{8(_?YC(wODzY!)6c-ZZ{X^Zt>3k1&CGP`9E~MchwV;f?UC;y+M5EE^u>o8?#iIfvr>xi0d+ z@0J+gxVS+7|0%xdO8HFwh;#3Wm*sj^BE4d8;M3x$xO+$N&G||C<@$ z_X|=Te>?fMs{>x}+;sQ<;PPf!oO8T3{eLb`eHWUX#Z~7D*iY?^RyR>kvE9LCXlL4I z8-0QOpMPvP#@Wl=mUw6)om0C$k9M35&i)>)de*=6y3Yw!X1XVz5es{s;|H=YQxyBK z{m>1cMX{oI>c7U1g^pKgoD+QSUGx*>C+~ohr1AiC4e6bCj)d;2h zMJz#_Ca^7ZO)+{Ok;m>%cl!EqA=rs2Rj8jx!1ofWcn0lj_r8a|9BiYUy=wRjTvvZd n@ke&0?*VRi#`$W3=fMw8E{pqvsz$#HnoXmi&u4X+m;8SK#6;99 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/9.npy b/MP_Data/pose1/12/9.npy new file mode 100644 index 0000000000000000000000000000000000000000..e72729a4ac53d2179f5e12ad4804705a77a9116d GIT binary patch literal 13424 zcmeI2_g|Jb)W)Nt*1gcy9VZTK-Qpzfy7w*`RNM;{L=lJz?tyzyH4d~6oOQGgf?9XA z;>HzmkGi$3ioWDJ`~~l?@5?Xu=lSNkubiBmB=`M1ENt7QP5U0{STGCq>K`zs-)OHo z+^gOIA1`n2HDKiEv7`M*^cgw2e}Lo7{D+MRNabS&`Hu=n{amg}&6-uc%X{-M{=fap z${5q((f55*uPU48HFp(HZr_Vfy~-nBU*dDwd=K1J9!$85&pjt6yLOw2+U4|-XjjJ` zpk3Ef)Si*rdBfvq7p*<7xck|aaI}m6zK}n=ch7NE>o)nnsE>BllJ2(|N21;4{s#A( zl)B_Ul-kW9hIaG5D%$mn2IL=}*1o9AL+7tM7RC6OXSRzjeshcZx2L_5UAryYgW5Ng zJMY?6DBZ6n)!_vl|A^RQIuC@yI@*a?@SS(TsQ9 zRm@q2_~ik*UrtJX?6}Ib>m76{r&q>1o%wH;`)tQWBW^M1FxtiEIPJK6I(reWnI+v{ zHzWo64RxdAQ`=4E``+%esj~?8%VVq2E=msG<~Z9^q_n$=y0vk?jyjNDq<*&B%8-82 zsdo+BXP>-?+b%kacD8m0@~JQ6yXD%|h@rS&{?-URKY zN(UF*1>(1G;5+oL}1>gDj)iB-VWKV7f-rs_=4p7~BMudKs3M6JQ#GI?^K zYiFS)p*M%VVt+APdd+frv84$4%&h`0XLOtExM}+@?I*upxZv(Lt6PRUu7bxxum7lj z%W?MpHTtz3iSt@P;BtMdc}{QpjVAvIGr(;`?HP`X2f^UX{~-B1Pnza9Z#e5ubGN$f`Ze)mXT!fo1UPTI8eI5Poawmg6i)sXf53XuPs7GL&Mwh>$DUPQQ7JvJE_BPr$dA2sh4Q?hePj51%n7d9 zD{%f`cWcM(o+Qi*EBqhv`JF2Hx_-ONqq^I(jeJ6vjsXuG0Uxm|7F>(XrXpf#QiC3T~oO206|W4nuF-FCw04V*q%+81k8amiUTgwH=q~`x5`D zGSz3Nf5LrJxjnR>;+a_m>rUOh(ahil(%sx*(IUSi#eN~ac}-&Vfhrqy)RiT?fw z>Xr?84IfpC>Qm%igE~~XPE!0wqM_%Vt4(u0A~6^F9Q_5{R`9~QFz268Jl#%!n;Dg- zIK6!rN&HJR>W#HL)*JB*s0kmt?=<39*?z`4wZY}V<;Q9?uAYanu2oiF9sY$^~tQ1hque1XE9mfuPPPk?)+`D zw0tg3^RE$%^Q;{Qg#|tJrw*uRk);jYrJvI>7096|&UZfSN(SPK73DeIH&{pf zzw3x!uip-C3yhlz{bgDgs-QRJ|K3qrcOF!SMrJ^s&6&x4onCi5M0tBf^UF7PLH)=k zzf#`*yAOX+z;}q#+r@P5=nYq>ZbQ6QfH$Ib%^vKdIP>0Cj;pQTB7WX;Bl*l(9|e6= zdd_6&mr?vJJWz+SLv83;-X=H~gin9$GwdPlCo1Pw#Lt!{;T&PVG^G60?m+dkAOYu& z2y6r{kER0`r#zuISJV1cXV9;lcy1cvT=yK~Rke~S{;Xw{L5a|dO1+4W{DgWi`(}Y#bshVpjyQz{~ zizJEo)pMFh^EE5ZJ2USBd^CSTah8Y*a`CYHw11ipABey2gn3kVic%iV2BRKiRDG(e zUys3uH5>-cT3pAx=+>UlbKQ-2*{-BN;t##b-UR!SEM6qo^{ag7JTz;Ic=@L>;3_mft*>lj{NNM1op@k*tQXej39YX; zRG+HhP0Dk_$AQq_*3|E8((9vr>3s2?0L~XqN58hC5B346+k=~3nX%q^)b()Z!+j-J@5)g8Sq@_VmtF^=9OwVefRFYGrgOH~ML);w%AU}R-?EWU?E-k- zQw4s9-X0nVACYjC>MES(*DQ@h-b`4V6)qlK@)7o1l~@;fwiSENhyUMQD4xe&;QCmh zAji$e_2A5}BhAaRV}%`O4{5$w-U8spBiYaSi*wy5Kc#<1JbdqC><=<-HaOeX2b^7a zHVpcVUrFC=7L7MyBJ#{PexY;W-Xg?rEKD_4%^eZnFL;SMcpICSNn*_@Lw4bnk)%B*^oZkKw zMfzE_D4vwyVUCMcZ-@u%Mf|K))>W=wIW+D0e}fLyo9*FA@Mo98 z2RXfsYEA2XM-%3s=NCYn zV%>GbZ{B%?IDe78H~dweg_O4$d9W^YrA!q6sh@}+Jh&9`49-eE;UlmQsHEs===Z^N zaC_<^^gLfI){(7S3qB@K1mYJL0;@S6`J@jx-|0u=`rf;zY8ztu(kiu!Zn;8%fTTr0~{O3m^9(8ye^t@KPjgG7C2jQ>$!fCwz69+hM zWBXIy=H9`)*sY1t&R?9S=SlOtKh}kPkPGLyX`Y1m^^A|GTN5J}Lf^I+e56-a==qdt z^Bw2?yuewOwTMUMIRhV^`3u!mL}r@zp>nRT>-Tj>%9}@XaJAvk;-p?feGe1*2 zd1eH}r|NlO$^#3HC%&R)r1MerE>fPaRm6Bz?)K}@?>jnY#ow24UfaX#BApLwP47Fl z#uqxr7gd<%xZaue{QRswop(#>(DTw+56auwdEoYSKj_7pSBRh0FNS@_4#-H)QJraj z6I1WN-;~NV9{rY~_ec5R7Pws6W`g5l_(u3B&-38y`B!j0dl2y{BgkjeOFR!qITCqR zor+_;?90?~zNtR^?M>)K?-!Kkx*j-xb>E%fI^TKByRP26iR)J$pF{fKhg6?YA38Z7 z(fluP8+#1>+Iug8px-qD{n~Y#D4vP&bnbZ2_qP1bajL7@C-M9sGSfNBU&d2@Zu$&% zK3X z(mb}=hIm*R+Gkj?NO0B8qnh)vOXzzlIlCLirKUVUJ&1p|!iQIXhdk&tF?bFacRh)R z^g=xH+bQ8LezP+GTtz;kIL{{pIxgoG0GGd)$9V0!;eL+WkrffYZ14*4$SYYEJFdKr z)3`j^K(9|kMnHdto=;@!v8WS1Fy~sw`4)N~?`J%Eh>Tc zM3tTP2R)q5W%fBX#_7$uqog140sEe9FmaLNvgjuomuDAnamK zI&Oci0=@S32A7W?W8U@22Q=QsmB2+n-wEhzENj&Z{`qf!mLoeFrnB(*+q!#o{ zW+z@O(`v^}fx6)8zjEXs_#gHYF<=FJ%$bHX-YYc*x^aoY2Webc2Y_4usFu!0htYm0 z;uJW4-Wlu8_M-0(Md5Pb^5FBK&WCRbr}^se4f)jRgy$1gfW8Md4R_Lf)lIj;`SYmh z58QqB&}P(+y-{Me`>Zp~rg80ghdh|r@`zvcDDlv>n=ZvJ;riI(xk5*z(0FtArG6{b z35M_b%JA3a=sC(P@tXkug8ty90X;{VD@P_d&hNy4i#7MCo)-+j^MEXzNd9?R!e4)v z5CnaF`dv(WzPSwFeQm2)&3~KHllowQ1Dv!eY?t zoOdU~C*TaYEJ*XEXCGVOxV>H%oPD1}``eB5!yVVn==UUhateG*#!k_Wv-b4+pICH^ z{38c#a$LRqO8v&t`6!2FUjhBurr^BE3)Hh5-L;G0ylBj>1k$y)L z`6Qi>CzG*{iP%Tb>(xoLpC|3Zxh&e`pm9yf3B9_}Xrl9H>(5c1V|vp5*=~H4<7)Iv z^3i?3tr|?{)TMTmhZ2v#*}NRcKd&^4;_R~>^&_`=uW>$RHr18cogbXZ8f(E{CBnzH zn1Ok*&9YDPb@8zC@UhzM*)6`oM?BeZ>2z==%zsuggaMiARwKHv1a< z_4QrICreZ`zmMtn3$v#aIREo|?c%Y=dq6MRrG3wEWyw#$ z)vUr7UEH?kQSGj3|5S=I;UbM|$e>8)qb6MdSFLKJ9{A_wZBV?7u~kA9=MF#XoK^=1X?> zq<(uAr})3=PrS)!f9KEY?E^OnXR+RO+_-SWGyN_6&55<-9~+0dvK7+yf%vuEH$;A0oi_p7Y;L=~TEuL3#ozwHJ1jvq1x{XRVp&RRc0K2`B;wC)B{-HPT7!S$$# z{?5nbeF43CTowJYgAeCBAHFIJc zd(KaTe|FkW)Yv-2V;f>zBI7a2b8U+}h%#^R+-|y6L_E6s5b~ed7yGcyRhZ%wGr{?( zDs*1&`wm=uN?Uh(JNvmf)!E-Do+^vs&xem)>f%uglEH1o?(mUGjmIF)PDe=Jf#y*R zYoi>u{y&4uAL#c%zLZaOoJAi7=TV;6$83+ULC_DOer-8*+t=w*9w84Z@K@;VMK5qQ z>&rO@?^Xzm0hTyy_lKBMnnH>0O~=l3&wgE z(FwbKozKDa(6bj~;IGycZt3*q4%M6OH38h*FW4PE9xD+i-_R20yQ&;V>+8dP8dtY0 z;I>12gwyNp>%h(JGNiw84tiBK6Z%!BPhfwO-ST-mJ$v&LIG2SHr)?MC&o>o|QvXrE zyW3E`g=axN&Bf&ufA_A5PG?Is!g^uVBf!ngL9~u;<%ob!lY!)4T4P=CqCFeAe)V*! zThp===2u=XQ_$(n+Xd)XRLel?`isX*=mVF4v*InuzfZ$Sj`LG1NMH1KtZR`iWrXA6 zJe{*@dq3zpPpV`zNbY zWuD{e!!OX=-%BH(Z05p{c<1x=GC23FioD5$yjVwOszASN?icurK#Bdqcs+wZ8&n)V z_Tm+s54=kVv73Lp>Shjt6m@A^>qh>ht` zZ@gWF)y{{vyh!{=5%{Q>b68)tOgHi$6-W7;6|@UJ&osrEOwZ>crg0nR!}5FrH)rU5 z$27Qwb6I`ahyZHtTe}H>pTkk8)!Q=EXdGjDF?2-SC&& zUciSps;OK&B0KHddRaK)*QNKyAf6WKX&xDUe`2nDT!r{kzY%v=8}O9sx!tT-_}mHv z=hOPZ$8>11#c`F#2i)B4LhJp9QtP45S($wLE=T=ay%Rp>9nCv`Q_DJ?4CsXQr54iv zW7rzSX}xdkwIn{ZT_@2#V@gk^_^aLzaGXa~guhyG3*%K|{?zEVE-KOemQ#O(zlc~!=SYJksB?aY&T;X0C*n7Y zEs_J5vO^bHm=9?-k}zSPJmB!I!}d4q4@vF zKM`?mGBm&TA8@gvvVvb!PQ=Ncr~Mya+n-lBZVq23{dZ%bmu=%i;QxX8wFm2it0x-k zPFAP)4%4O_xSm;mJoLBx5Wh;QPW|@XMg1O`0M1Tz0XNV0M>#zo+8FWZ{%Oy9)9Y<_ zT=@i%{^$wv-&hm-7_X6${O>-;yo)X$RlLj7Cwkr!%{L(b_UwE-Z?JIMulQ*CzdhbA z1I`8A>ks&7pKp<8lN5sdivcsiZSP~mJ9*H)ly+{4#bKB)UH-Bc;uJq1ev|x~>LIN5 zR>wufc;wS09zy(f+k4E5o;D9$^`qZ|c(?wDM|5gPJfT=-lbNp;nVet%*0 zHg9%ZXH9#LxIpJP%UCNs-t{}^D*WwVyAh9F8!^do)tR1WRL>U_rw*FpIGgf};>l7E z>sL1(1icRVO!0p>1a2GM9SWbf*$^iWrS~BA-MJp{8Bfn$(zhf0MPi4pj_VcWp%-O* zsNbo}Iyuf`Y2E3)zu)vt{VdiUZ-(oatQfCcPtVn=`c>qg1w{ZSPH*!S#kh2*A5kZ&_j_Nb*9k*OpP?Ym9o^?S_F*ya0JuKd0{fDE zXy(Aj{}S;GzrsgXXfVog?mdO_7Mch7S5HH*j?6pCrwK~?J#Jn%hh#foNW8aOYy83Mi>e(J1N4!U6jF$~x8|nI03)WM=;mxQ{ z7WmOVTqSLPSiA}GnCrJS;(wA%`hbSe>xpG?4$7yJ>L*hn%%jTXLEi(!&wyUrN>p#% ze1|(9o^1!lCEn8Swzko4k@2ZqY)+Ge{2|v1Lnd9=-1L$@ACB!|8&j+tb&+U3t zVcLK4=2+!8Tegk-^Oi*&O8-_r`a0e-?L98yEY3R-JuI)&^IeS*Cl8JT=Y?*zcY66( zcv}2Bz~zv8fsU)UzktipNu>X!7v8&N#5r(Pei!=HC8sTde%KJ?hZoL)`jnN{Vm~qa zc0n&z(eKe>TnpNNdQYZ)bDzTVlFqal^JNkmfU^+#KR4N|V5sxw+tc=q>ZDgbg~p=a zey5QK=}Z6br)m@*>9`rPk$6lP{N?_nL5}MseiWz7i8xuzuHBBydG{!vb?AMZ7n(OK z-s$r#C!ZpJLvLU1!n)&Swt(CFvuVCIEyBF0xzXga@;1%a$wogr9}!CXh8?~RT!uG_ zfxq7s==Hg`;9}+SY2bDSI9vRR^d}3ga$I^&0hdkb|EYLD6Fi@&vGksz0@Gu>>c)x* zzNvbiZ6@?;QFU+=ozmNJcAmaJQCqu!vvf;`px;rmkbk~pB-K@NFn$l^A!}*AUNs~B zvfwQEIIsWz`#+Zf^Dz(VQoo75hdO(6ej5IN;7mce&B{f0YT2o2?gUzYe^EeO|q8t{k_Q)4oUB@`}#2;q_)XKY1jK zd_FXTUd}W_z&p|ZJ?oB{!SziM>U{XkLbzYOe~SCWnZ7d}H*06$JdlY#Xg9O>Dd)pV z`O&zB|4G+jDgKVz+~ug>dh2nY`g8sm=flEtQrx``BTrTuoL~A{Tguz8Jn$DYUbk^R zJU9ki-Wf~&dGAkjK74vL@*PXRN0`wA5T`hm4mz`jzE7~zgQJ~ZCqJNlt=>rZ>p6$Q u5Kr$%;9^^P%4@op@Zk;U|Hk-;<>-f3sY1_TR*Q5hO$}!FRPMbKUv=1JAF|lV8p&@43!3_uNy@`JAZsUE6i+>A`~8#0vfTkLo+J zLPK7m@qqdjym*BHBSwxM=|B9Z5hMHccf6&4z^MM|eAFQS!2ap~SFBmDUM;UmUOa^V zZ~wkz>3^Tc-SctR=!#d}RreZkH!=NcPk(;q{uhg~-*;CNvf{G4s_=j$ly{?Y-gO|# zS>z6s%QaLkyHmOCw~y}cbOq)73n~|_soWGja@YCtkDE}=E_uLTgk+S*wxRNxXHYIm ze7@uAmysFefftk9{WdiXJ62^giUu_30ju z-T!8L{cE`1djvmu;`bXUFY^rdu~zZ8Pkp@b+Udlc9G6|Wd|aB^)$;yD$5qeh2ky#G z?|bda)$yy;|0PC{@6Mn%u3X<7cGZ>3bAO>dvQzkZ@SL}hXK^L(TUT!KAE5iHwx;@n zn&5ufx5Q0XuKKS^ard!2<1e_Y%-@{iDgPtx=RX{w`_tB<9lX)5G^bOiDqV5+%VsAL zuN~H!;$L`&@;B8t&6SJnf8u^~^%k}3mlU+02j_}&<=Us=FV2s%BG*?BnMC?klzNSE%zmqN*_GR>wJ81rL782-_DIHf zu`zvdM)j9<)9T&W*Tb=cGtiF88;h{;zx+<4^Nts~i`nT7rve>bk3k z+X~Q&pwBdq&)-LUdQtsYr)OTxpf^Q*;3IRNUhO#V<4yG*3BbJMWoE$NCKV>0GW;Ls zZ{93k;Pi6COj-vjP6JneX9;rU>RDEbr$GVaRn769?esR1k&7xZ%Y25^&Db|!q9_W`%} z{-Jz&mzaTi6a6Wk$%WCsJi6R0$Ax!)s@G=#xcXktflu&2aP@v4tsh-GLvIIV@QJN& z`?xsXtsL+4=GWHH>&4a3FDm)SO2=hi%BT3D4!9037UMW8J{99ao$rnOuzqzhuJx=+ z$PYX9g7WN_uZ7dwd}+wP`IHm=%imS&fO;<(;-(O|89uX&kMo~323!W7B%dOsMuBhZ z0)O2l5uB~}YwEZT`iJzDXHh@?9v0~Qd6~S>t6WpT_5SUH9XB3v(5vB_N&oBk0gkg9 z3Y_msA^u^La9ng~MgFbZBTlg{bh3~0`Md`HqVso{=ki0SFZ88Hk$=3TIPY8@>-4Ng zIP%6DRD_SszGRi-eEw%}*7ZNs-uxG4fq(xE<@48VG>@uPndJO!(%0xOdnXUZiE42y z(s3400i1=c2e)_jW8Cse*T`oGjZal<2gad%y%k&+*a1DSGjO`|(L>*Xi=HQlUu}YU zVf-$D+gcB)-hBh6Iz6vH9Gp$qiSfq#KS=PwB`Kcs4-vn)JqzLE>ecuuO2eTm_nRza)C*2Qe_;|!aZ>k=oaelIHxa0QK58x~%GvYLtSC50w z$prMHIZ_k*j?Hl>%E#ri`!d8M^p`ZQ9{XXwn`TXkzgrEi-+O)s|Mx!NjMqUvb&kI} zIWAWu!(Rm!q&$}^v(fp>3WuRL?`fVguRZhObL$29?CVPFZN69Fa_tn-Z}5VTDYLw{ z(~FLa!SxaHw{I&AfzRT4l!xaUdC*l#fwPyS7mI7c-{vU;fAzXB`83=IJ+G^=j>+BG zz*TrXa53>T#+9hB3jT6q81{QU&kS_+@{;dqUKF&*r>XPLcpt}uu0b#Q9{=0@uO>a3 z;`D6wJLvhE`ZRvt{5;x~%iMpE&)PGnmlb}zz;XSWQ@__6M&mi=;R5HQ!yY3}(S9}Y zf_W?^4HYM8~&YiO0rk|vJVe^KGPR}P*r2OPNhIn}OJm@ceuo5_%GYniW`EoAe z`LQzTN0uTUIRN_(o0L&+n+K@Z4lj@K!2K>#euM|~tjq%CeB{H^;B0siaC`rsFvnSS z8s{RW8MwK>9P?56B~X5LO#l~F20$;`jv;>eJ@4-uNV2!ezzrc5#p)7kK)Ol1O6&m!|yX&(j7e41ju*jm*o zpVL>sUo`!MJjjH#s8>7;2e);;CH>BU*k5?+4-`*aEb3*g`k~)Vfm-0~a#5P^uiA#X zdhPf~)T?V}!aC1+yS^??6ZI9vndt_&s1-cTape^VAJcOl_D$0u@JGi*J^{ViSpi%` zj1Gj4zlNUw6Gr<;;qz#h-9i1U4#XjEHf#N*iRnHp#~F+hx$Xz#Sro62bwj*p41fNq z73E*VV4V?s4!9gKiu&sd&&PkH+wk`p=bu}3z*UORPtITL`WErnLzfYczTdqs>a8}4 z+7&;6;tVP?%yB#99>rfW4(+lD9g%0{mx4Hz=U&9G-)EiYldfllDR0`x6M7aNJi&2$ zpgP7myFu%=F1&vw{QJ*=zgQNHIA!l~m@guwFZ|85f|P%~bCdHi?Uq8XE))ajg;obT zA6{3HPt!+;M{epF;`fKVM$7R?0%iGtv5vDr%PGz?w`kw_rROsE6r%jF z(D~%wc;rCGt*MRt%LBAu$lJ@Y&hTvhXqWLWj(Yjzsgo0(zu$4n|FLq&vw1No%K4~n ze5zkLC&cE*GAnRRo*M=XKAo!f=t56wEpaW(xD{P}u@JPZG9kq3z+j*EA+pRy{USO-kKrPC9g z|HjeqSJAi0=jq@v(AO_XdDyaq+SRc`4e-1z!9^Y#KdeLBo{pQRKY{DZ{?LoveFr09$T*L^>jW-pM}n)9OU5Gph@Qx^ z9NC=aZ|d1#pL8F&E#tgeK0EShXQU!des~dlOs!-Zx0e<-cRp+g?K?W^6OGRvP5qn? z<9nf3bCM~ZqG33P@I_Rwh<#JN3Z6V{;yZUXQy8A68=z&ZYcUI;XLU7Wv_gn$z<| zelPT|^h~6F=gG@lJaRZazlfFXz-5&$u};d>WuP~AN|3(RM{v`32kMm(Td@A?yXP=| zbm>u~U(*ZY#CB+lJe%zSRBy;D#AB9yGv3v!q6&iRz--XV$zzabIf2eCsvUz~@#C1+ ztV<8d&!-T~JL{W^`tf5BxNSFs+WUL~@@)R0_Z2F2KF#a(zO)V}RE3@$t4s5AU|z&y zZf!&VvMKAqS;WI{U7RMKo?H3C0f>_g?1ngv-$M9^SNUllSr~zHxV-k6e71)o9yu{C z#PzRE>qv1<%?clto8FI!-i&xkdyG%*cbnGRx`pAxhZjV@+Y?u@pX!ra!Ic~dy*m8c zWcZthn2(}#4D@ns+A7DHXD(`QXjyO`)pWRP7xRb**D=M>kMd#O*^W!kv*2p|U9?NB zoD&QF`zCN1TZHoOH7FWBGn2^2do=0Kl+n;91c2L3^qxTkULOj+gq~Yv_2x7$nt6|N zoNqXRcG>urG%sG9LjRhz^j?v-4j}!}{iB>-4ekZK{(^q@;H#6n!@s>ZIJ>tS>z>~3 z8RnC&XDKs~A5$qD?Pb34s~s0I0D2xY2jiUGnm!WxjlU5uwgub<=I!FR&hZjl`YxjR zayHIAc#t z03X|u_`{yyx}irHc=0LVGShR6b2)2sgyZ`9Zusl7Ka#&K4u9+SHS|2}<0Yq)X>lXm zm2JEWy}FVgKCJ2$r+DfI5N}YC_|EE6;n#C3`PXhw@xQ+xiFnF; zg3Eg^vA)@tkMLYz7l(kWf9Jx-{2Pq(Dj(Vad1F~lQan9IuXjE|-Xs4>S4ls)=2FM` z^UB~XZ}w~W-~NSpql0`rI%-_8q%tHsybS!un?R9mG1udYz^`y!a3F_WMOM z64U)n!B^n=d{yXmhZ2(<=g)S6n%S&44b9A|qjkv<@l`0|=q|3#QL;)XV zpAB>I%3p$@=gFrKzX|zz6?~#H#?|p!;Cg+T)sCCWd#Jq;5$H!%w)b@BW1j4Qk9x8Y z<5r%2G|1`sgv;PEIs`tlaXg++?dFT%c56j&RdGD>U@jeiKksmy)`yixFy7>R`dvd! z9s$lPme7djWfSPtu$nZk0;WpGMd@&G^DDitFcYs~yxFyA5XT5t--iC%wOmyw)@c`U(y+A(ydMn3u zkxcMc3m=?!zOq^5D0dZYcTm08Q;|HK%4kFXuMHbE4Sj0j{R31Gfe8bc28BXY$W8p8RX)`q9V5 zlePlf#&3r|^K2jE^eoeHs`ra=(6b4}M>#H%egl^`!@=c&+RAbH?Ns6~7n1+u&zRS? z)jDv+s?$1l=snJdw$LhYesd}2wdsS^YgNx8N6wj1w(5p3b zz;%H?iHE0Q{0l|v3Cp|;+$_mF676bti}W=%k^Wggu;Y5(BXB;J-iPzmGsZj4liz~d z5Az-Pb5(NLnzF3EqoQ(NysvOPb|TR`#LN%M7j zz2P;uGIXA_kuQ5VE|S71p6Wv|zpNRK^~V_M7go9w?VFifhdRB=HWPZ&qy;$783Vm2 zMD1c*ZexAp!?F~2dfB`wjh`E}5U0+!xt~uuXCrRH$2J;@@nGVPPj!0sU?TKju^G-^ zUVn^w^}KE1`j1XA;MbPIN9XbZ=i~E@cU&i~CB0u0te-Y%>^#Q}iy(dZ#>l7ITXtMx zI=3mmgWF;qC~v{^zFj4kr+qmG{a$Pqg|2iytkXI8%U(6$BaXepK5n)}f~#KiURU4V zgL4A^vpVTZg+p)u(>~bws9v;g@GjlJS?_=$j`KsC5f3|9lK3}=n>%icXME2PGz0Br z<)+}AX*X7(amyu*ht<25JH1#&ajJxp$OCH^80EOE@-zHJ8l7+X*-R@Fo&V!K#Fy72 zpDBGXzl3T8f8Bl?eB{;%+u?t98tEHcK|EqcVVp~Om)qdB_9*02oOz3VSzVYz{qkxF ze3bW@1=TTC}S`H_GSF!{H-MkByF-pGpyb zH2~{?45%9CxXxD)+`eB<``Ww&_?QuO;m^KqW}S|o>qPUb4t<3C&8z|T5#==6I@N| ztsGbJFHx^L@QCu9`o~gmZ}L%1!;l9P=RMwWJ0&BZVXcTC6~T^+ujsi$6s`#_|Gox2 zE8PtKCNHfUCVO_Ymz9-N@3KDR6Z6$C&PVsFKzVECgLwFNEw;daTQBk{dKr3kZyeS! zu^^S&o0=2*j$M9KCAv8G)A;8%4r9Kk*TZq%u(7mWnZs`|PFT`eoYVNbc#0?5i}LJ0 z3HcYfMuUs@SHb1<%vhIXY!cNQKNJ0>ysmk=IC(%}#Lt@2{wO}Q+~l}fy#{(A&LVyh z(>Vlu&uH@LHV*5OTvn0J)hDZUPH+3g`)XI$* zhvIhh-Q3zJ)!3m^K?N^_^+gM7ato$@znXQo8vN)=8LV;9X$Q_20!R0`%rs# zTtPod?-H$i()B9;b8tDKAkFImuaJK=YB05TJ*|`c&rXQnz8FDq?%a+%^V$phIv<&p z`rUTj3vT~i5$w46o7!d8(RTu@^N|jS=Wj;i@a%lVV+MQ0Iz88I;ICs6;lmzRo8q*!WsDR_Pqif zmmP*84%@$7@yHVNysr;!rg^dM zWk1JlHkzj_+hpWff0$kg+;2Pld0ZUvyWe2`3P#T(s*1q)WMMNg9?X^lXqURQoz~l~ zcft^l*AnW-7PAo#>k~uo8Or-pyCPdr-m=DoyL$QQ*`z<=PvazM6xLx;q$2vo$^^t? zc0JP2?>Y`WYtfU&+sJCz2Tj|S&}*-XG_FGO;XQ!bJpy{Zunnyne)Jrz{*9)7>3WgQ z3EL-!yZB{UIzOl*3z0WDYt~}N)sPd=v-q9hBJUflGwkRR;#ufBU3o5Lxzn>WdY_w! z8_y)@ZQYf4?*8xd9qYIs_3CPyqn!_5(;oSePv|>6E4N`i(ODM5N0f}kexVyhqrc=n z`tDnnxDGB0K0|-0T=c!P+WwSyLexa(FLu!LsUCb2oX?y++Hw2C7Rqy;-@)y&(<2a% zFFn85t&!krP&l6BZ2P8&Q&gbesrjtEc#beNj={%<(et>e-(q&6tGCZ&aM3dx#-Xk@ z5A#mj`QR$s2J{#27O=wUc~~&{)c-*J+o#kr$L%{>H}nAmu3r?5bzId+fL_NGpmDgk z_jKq>2a^9!xxx8>x9E4#nbs@5jK0G(Q_C(wy_IK>eo$ewmp!~W!6)5c|2`bt{Lz~7 zAbh3cJf}LG|0YvlnwyYn^XuS^~cy$(5vdUfo_QO?JD);jC-Hu5(4 zui3O2JAYP*h^Hbv0P?t{(}4UUca2*d1k$9_UzeH-h;DScWBkNiwlck!@c^1MD>pJ zs?WU|_Vx4f;a+{iB8Nuy91p%8W7aEs^@6`s}uxw(kZobGsyVH@{o%Zy+^ZJil@I9T3cGfu`o|j{(T}B6>UA@>x?T0@@ zJ716+-}MtW?ei-09`!#iFWOZKwR8Wk@4$a`^acB=`?;UZu<-{|JKIna&x_Rm&@MX< z`^&bAh1BlMuSD^8483BXm(x#PL;Jp5|7o#^&w2D3?arB$tMK1O?c&4v`}R50x;gT! zA|D+@`>Kz~FAIyfX4}QEQs_qvy0F8xn~J&pZyoa3wmT{BpV&_=UH-7`(zEU(`<-3z zxnw_O*@y6x-~M&kw)43M=()Bl@f>fEm2Gw6r(>D6UFCg^c=XOye}k8teb0WHvI*I? zT{;(N{@wfIQyq_fW!rW6dKYcGIIx@Qro%s{EfawV!5D9gJUBsrnkvcRxhq*|`YgP;a-sv^qWU&3W5ymh4BoywHbp zmJ5}I=UKZFFVX&bKRti)HgtNzU5uY+6k2B6nSZq;`ND&pXfVec{L#t?M|Ce^k*(#zhT?e zy$X1qXOBU^=eYcEX&2@ z_gE+TWER$$I_sBWIUnB`dNHa7d_>~)G|OePI^+`=gnh}x&49l+RvcWV$@A7<7Y~~W z|Fh$;j`{gSaQ<_VNZZZ_jQJx=Q3hKWK?@IWf7seKNRoeL3Cg<+iTSvlSbN-@iE#K5@b1lYXCk_61F_ zTzmHhHyf*AKQL`W5U2RNFZpa40j^s-oC2S(`-6+%EUl!ZPa;NhMaMtVwxO`l! z2J`^|;5xV!;^ZQDlz)!i6kh><-J?0yo$k@Doz=^6VbD9zyHmZ@{upQVj_(-cjs5OJ zdANFTspTx~J-FHZ26}O+?_|qGaZmUg*LA3W{-)vx>(8o}p?UOkN1gEG3bQTe5#Hdk z-Fk2*Ef)1AA}>*#r+ZVqovS^=>UE(_;Li3v;KHLK)!Xv7;C${`;*H-TSopLFBcGE8s6NZS>kXb%7V(JWONd`zUy60=T>k>x`K&288?%qr^~kS~H}fV&!s!^xb>t4r zqb%|r&P{f4${hb3ZnEbi9^UUi(xf94a5HKl)!V_twXBb`r7^f}+=SM3^9vm< z7bhRU-zixZTx7WZZvFK-P5M$kSf}FN70fUD_9?h1+X~z%QE8_2F|Wr^zkU4S<1D=+ zEth3dz*P+|aCWlgV9V9knv}N&3lP63^;uu=dX#@B;v4vz4nLw_-pieQUekFcE?paM z_2RJ$xc2ad4{P!S`x2k9i1HaX66ZaiRH7&RBVJ*=%>SF<(&yG{;i9An$-hBt&beIlJu3E z(LCKS`>0#>_WNYZ_2$du^XxXob1*Xz`sFSdmnuQ) zmlcjnvYc)3A-+gMFUs%1xg-AZq&%F7!nxp_YfSr0)2iT3BZGMKR!RH7p=#vQeJr@B z-wEfV9QO^ltmg}EDy*mZT}Sb8(h_$1}-WvtWz^Hn)1`0QGULkLi^Rk$*2c$^eyr!3N2ml zpOYT7gzn)^C4ZX7FRS3ZGpoqobSVRWC-_*b?N{a941cqT;*?v`;}Or7c`0wLro%^8 z>w|SC8~jfCu!-Q#<1&~RUjH4qNC*SxeWIav?gS9e-yQps^7pBI&b-ydv|HTP2&T^hD*afbDvJn!!{)B5lM z_2I9+{Ry0V)`+&;89Wi3ca8*iVyk*sZnB-7^D>IYd#3Cl%UOjR(CbC>FfKjh6Y|V@+(n!!c^AdMr^BqUd@AEy3qa2 z6fPBRee{kIG_LJ;5RaU`G6DXv-6@{zD8wU9??pU(3atxy#h2p$^ElR>`g$GuA^B>`33SAp)IggLR|$5Y+1U*}l8jHG&F z!#!|+a}In=g^yn<`W4^Nek+ouF9V;`5I*Wb2JHiF)}~l4YNb$|Tj<`XKFeBUx$`_3 zahkv9!k^9Uje2&P_|pE+S0MkU>iKyY)@NsT=vnPj$OHEuKGJfP_Xzye#!AS)u6JU# z^=Ez=G_GnZkq7lcw6~nUeGJY=ucmpAn^?(mv4!H%Jwg$`N}CsB{bhYd;|j`yJoCJt zsLuUpA2W>~BYx$bi1XB(Yk@d<@0H+O&z@oZ<=$-a@rfXPV!ip6>ofPD*L9<@59mBy zlF;w2800~hx&ytLQhO+T+If(E%p8jUNYfuIS5=x2PY(wd^)rIt?;1q$Oz2AbY>$DK z^OW<*8+%_ET<^R*2|VI^=viBnWxq4M;%ECQo&4mVO1~$Wk(YkXu-xSW#$`JH0lm)S z`HSVcT>Ay=yTvQIB1OZao%Sj&raYk7_TZ`XPM=^(nsjUuzaY0KCACI>m!oi zfIC6o(z@7kZ@lHs;pgD|d^qX7KO#Rm-xF}wo8EUERtxtTlb7ye!o4-dD=w}aVSPBK z_bgV}4L;?HUypfbdu}eWdKE}{Ho_m=xWAZ-IL~~Ax@E~DvtcOo>RB-AM8A9$Z+(p05UT$_81W*%4}<^JlHl^!BH-+HQH+-b)F%IL3n6~p z_tG!^Ha~AWfQ!Y$vF;p~sqp9Nk)-FdX}rC{T3df7?R@Th(fv^T)*%|a6WxpSojRCD zzW5;GaXN3NJbzjPE`A%?*y?#UtzVsg5Y_*FH;OZi-aF*wf;dOSEeH2-eT*R<`I62- z-FEB<8^3e39XQKhhxh(2|c=WW=s6#$C1LrCGcM~{E zii2LgyPaV5eC}hcNA6E`%ii2t3jYa3C~uRz;3M+h!TS!Mv6|v+>yCL;f$tE%Jn|Q~ zlT7dL=G2Ci3>(jbRp6>}5#(RYnStK{bog~}zBL4SP%mpc&~K*ugD`_p=Q7Xa{+6>9 z?$GN_e#BcnqVqB65XPknH6(s=6z0YJI+n)Uzc)B5+AY%h@ID>DWsh{?Ki+I-xj9*z ze9RWCM^$IfX#X6pGA7V|l`;Y2Wd)C>S-P?_j^a^ zW1oPl1GB*8&T0M`IeK%pCdS3ebp$v4`!%)PN$Ev-tKkmLnl!CzIrkk0?kqfuIJNFt z%W`!m8gc6P6sL(Bi1#K@=6C2t?fS^ScJao#V`t8hPsQpqkE0%AojNtL!A-l*|o-YZc-)ZlbgO9jT9$bv} zNVPtCF9+B88iLCs#pYWsAJBbOf71@*m61#P`GeE@I7=By^Oc_53_h1=KhL>8g0sj8 zSidqVf%1RBpY*YH23sGNSAui)H8{_+dw}ISsRQDX=XcY*OuM$w`a8=8{A1fiz*f|c zlXP(k^yv}Mv#flGpM^I>KH24u(DR9&e_I`Y*>IKpRLu?fZ=?GXyVxt%awn!Z=@$>A zI6dNr!~axM;z=FBWr1#^EoaFI;H=dXs^?1OvCp%ZE$|nAb|Rl8SuyaRMSri7ey=m( zyJ>MaKA%uL=4v7GDSjAvkQ0A|f6n_1>6cVOJR+b!xasQ&y$VksV|~n)bmEm;qF-L2 z%xue5buV!7`YrZbvE?fKohQS<)xT5V!;^O4zRDNWzGI(b>NvP)xn#BdF3TIz`u28JP74>*q29OYrwsf2!db|J3c61FbN+#-f9^H~++>c${>FwUO|g3Z^aMDM z`wx24;V0ZHgzpQ|JHF6MXGVh6OYg1Z@2aSD1*@Xyh+FE_!5 zyHBOMoiPaaF;n+E`JW1hj|q4>-TDh}icP2DRz@gVq=?zg7wN6V>z|aP!9@ z_{f`?BQtV*)RYh4Y~QUj*4NbCi}9Kl>(H-uyNi4}Z@OdM@j;Ksr%n^%3Dr8or`Ad6 zRY_l(m;7p$_0uixk|HmzfFB?qbDn{|k z&*|@O@;3+Tg{jr#(>j~-U(pr!2dAt%`ZXbQ;lsA&>x+JGxqv%qTZq4Z)y?)R2Y!SP z&!F||+@93Y>Xmyc#WQ#r{P~us`G_<8DCy6Qf{*U9V<>#~t^#L$CxgpHFO}tD_!!b3 zp?i_Ox{ua%EsEbs6WGU8p)}k>RLnBy_0tWwU$Gm3$b;U!7+jpE-$l*9>KLy$G#8vL zccuH-$9Cgwzs{Md;HJkpigRz>afov(ty9x$HRWMm{wU}VQT?#kT@?TO*jUTeN}6~1 z`a1cP+kmf~mB>+g4; ze0DD;|MxR~wf(ZBY;bjaImOd-TMx_4tI;&B0TSmUUw0Sli&Z#A`X%)DO*1unl+`<5 zO$6ts>E6QPT~Keb3-zlvx_v!*xFCBlXpYn8{Vf)_o@z3Gv?p5k{wM0G03!jaJ z-Zz%&s!8XwR>zALn{7Y!z#f!`_o3(T{kO+hzsxs~`1nP%F7o-^vwvro5haMvil=#; znXi`hSE*6xSMJP%^(BWEpmU^VG`PxY1%HwH9OE^|V!>JW46JLlH5&Uiccc3Tzg`{Z zDSK0WqK!-aM(dPEuLoDRM$fmL*IqzAMg73FYvwS^on~o>Q?{)~`)B*Ybk5$K3_X8R z3;9&P9g4N_Gq2qLC-RR!@+Mpg&$rxZ%~20>a{=hZg*B=^up3tK@I4?H}oDWRKKE{XKLOilyThhDbA837?4e8)cgHqu7+*g5?>m~u< z;(9#gVSII*n7kI%N;)a?l$bs+cmnLhPXGpzs4 zZN%e!Q2)%e6V^NPsYCwlw!=qOpR>vOIK61!Fy&8C{zKjcSRZG|b&9jm0OZq|wxhr0 zy#GYxK^0m+^K#667JSy`_Ny*Yzhz_RSiLFmBl=Yh3Sk|Yvk%d)-bnk2Df1us)ccF- zHgX#J)!CECr+!+B^^q;_qF?d#uc%u+c+V2suleE*#S{4n+!-9Q!gBe%EzSGrF!-3` z!M|JX-0+}0bnJ)qE(#P~Zn;V-0?w8!LH&#VugRw(-G9X4+`r3*)*1<)7PW^bX>8ip)X3BGxO!a`Ctz{Q1$_7_WBAgZo3y`vc-<_2_pJ+4T|XO)qu> zcUHM$UgV=@qinx?MNx2-c!KsT*1e(iXa9M@-(=A_;#5gPovST35RaL*-`MB%oxPOj zghBA()daY?895*A^Hxy5Za1#m@6OsM@Dcs#d=!DD5s%}(X}E2do%XX~BoqB*T!qefAFP8W=~+|0TSA2mFX>ZD_KjOF|m zoxgghFYyxdpx0ArUse4Zkx%yEMCgYFQQq$N02dYFk}TJ56_7Xis43zxUrok)sM^s9 zdX{<)dRFui?yF|b0~)V%rE@2-OJaug>9-x+X|tWy%j;R#|DD5B&+^v4s1xU851b?V z>RQUf%$mrv*J`e7STx zF1gD=JZA5ol%GVZTRlG#T&)>E`;u>7il<)<^vhq4hre_SpK5)KUmN(V)bkjZKC)?z z#2@kZyK;~!d$vhg@$GQfE%o#XsTp3#VFZBrT=f>-2Z@kvhbjLf*9W)@vFkm zkWbN-){(k+hsL$M>=5f?5}%Pzmx;7~M--KovoGo1#bV;Yxm#8c^xm{y?&iqwf zpl{ZQ#+&yl=FvoKtM8v+8ub#3OcHaG-B_1bP|V4SMgUaocK$isIZpR*?suB@;p`7}EN5PoDG&SBgFAbsbh2DGlr-Mz zo501{by1e90Lq*0as^y}6^Qdo#jb~*XYWM6y6=lQRxfM*g#4(6r7>O+_$T%gxqlAy zX7mEAFID>SH0VF|p?+^>(YjkxW1Qt|V+C+so&r2y@>8D((M8`E8-DtId@x& z{P5t-#Jk0WTdua#z1=*U1TG64!0#JQi-w4k{Zs~V%IrTkTfKQr?`84?y^jm;d3Yb! z8%L1;wKp`6U1!p|i=RRK(L$QX&*oxY^gFs&vx-l^MTxeHGHg8Ca?gwQ8^O(-fE4ic zbUyOv0;ogv!&0k4PWoMfAF2TE)apj}lgi_umvKcfUe##JaOC01 zKybBAP<|?|>uEVZLibGmWlwN(X*}KYOXSvbVjSj|H)t>!`phwy7Z%Zy`02;sIadGw z@Bd&1xXy=tLAFb|YwN>AHBZ2M=*8UM*J{?I{q@0%#EhJF=Py5cUyVMCdSv^u=$??W z@hqO-T8HYrY%}_OV|3>;;P>9&vY%@GLaYn+&m(Xi`3hYBaxlcU%L$uK+fQ-f3vh8D zEi@zNyKy~x3cTL3oA#5tjX=M8RJW7h$GU*C9_4Uuij5oKBkR!mmf3zmRwuXmk-pp( z`13D5;(XK-n;(bI`%d8U#EjUC9KCZU^_b<3E=@dWEAqfIt|K1PrYqJHm-9MVz3?0c zA3cxG2X;MtsO2(w1AIh$Z_3*b??+nBZutIb{rR4<;AV*rjq7P0`0G{OXrFtV8VCR1 pyTPBWZ~@QB8|nE%inHWd#3Smj#5u(Vxx(K$wuItLt}`~{e*nBJ$DIHG literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/10.npy b/MP_Data/pose1/13/10.npy new file mode 100644 index 0000000000000000000000000000000000000000..2fe1c4322040c273a81e517b0c454e4e6ef3316b GIT binary patch literal 13424 zcmeI2`Crf3+sEJ8*X$Y$-Wpr>EjyoM8EcGvUrzQtltikdA|n(@se~7oD+; zeW@&2;*fP{7-J{y&g<&_2ku|*yI($!&-1+AuXCO2TxWS#QN0KD>NC{I^0oYHjT`Sh zc6P1ScCEG(TGpy(*P7rp+h?}tjL}}R$Bj3vpL>OuH39&)enlAbyc@;I{FRg;(7%?e?+U_$u~6e7ydTcT790JNTAqSNn70i~R5m z&vh7#JjxbR;LoajMSiVsU+e>IwKv=30C+Oo;!T-o%vKx+)_=uaPqltzVrScQp~6Q_XK>mRtLN>?J6}1&&wmv z5QlYXHJ+DY;nz&NwKW0#v3jl0KfmIvjgRHu2G84nAExJ1Ti|*9upm9(tbGdni#lUo zS$*g0<~ijw3H__M6|d1g<#!sl_pzs@ov%xM16|>W9j0A6g@)jJ{1WQ-#YMF9N8@)H zuD$y&GoP|p13a%w#blfB+>sa0TlY#gGT+7AKs+x>??Ais3_NN$`>S&;v>(WNg3mU` z^Dx6_&CM|1?b6#`wm081FX4HeaW)Uj`Od2zzGvF4gN<&QcI{jP{j*T(vydm{`JUR3#qs2v=lHv3FHE~|PDb9u+ba23 z&Ufo*({R(yoDZO#Z|Xtwbm$w^ca?moPqDi>@qqKUFrKq3H<{=3V|Q@XVLGiB?|Q4y zU+ir6i>v)*uPUL)x3iFM(l*s%og%pZt<8+y}Wd`J4ipM7;AUW4B-oL`u; z(&)t{U)l$bEdW>fQf8TU@#+=&)x!&-POMVTmKwdj{tVpe(+cZ{S3S4fa9&>#Pq{;N z?R8>-;p$#5^sC+bVE%Y`S&U12^#-^8`Wal*Umaoe%p$$rUDA9PTKY41a6j@nl0o`0 z55f$$XAS}v^{QfiWg88>3K<5@cFZDPuGcc7x7v;*pUJ0*cfJI@-cH=&{iu#Ec={Q= zYT6Qd|#c?w zqvzfakbld~iRO3X(C&uok-KSLMinETn$*nr=$J9I|MWTmA3frtx8W?4!CziaB7b{$ z7sFNm6Qutdhi49LE2}I>ciY>Okx2cD~L=FKTk=Ww)V-(_WqEXY|71jl9WtH~3fw z5;qwxr)PnyGVe$q@qIY_e<}-qwRS75qx~!VjlVik6!Rh)nf@{AW;OuQw82r6nfQzU_4qT1=jrO0GkGbJ?Uy4)SzK-~Lmmt~)W@STfZ*zdN`5UmVRkf0oXEz_pzumAP z;+Z^!`YrJkd6NhJSYWvIZZY|^yG8p$$vaWddoBPM)xs!mvu|M^;16hix&LMA*Y%T! z(aZL4NMFMr`-#$fCH#l4rFdQ+LY?ao+b~{ryc;;1luh;jV9H#h*Wdkud9% zEutMcoPVS^zy2#F8ZqBtfim7`4kUny^Ew%Y2e947aBeDeMI_g z?#QQ=5i`fM+wMES?Y)=LuU)ajD#Q7bGPGVoIqF$0p|{@K>n<0 zO>n)WES;xyZ0POFS?E_jxE+RZ{c{fSv!Hy?%c`EjaM9`{xc#OQ_3IZGjCe{NCjHp% z#9Iyuh5pH2aD7Y=zgHD{b!j5F>hv$}C-#ke(90Y1Q4f6T8{|_w^4sIc>DOMJdv7_` z67$GzWvwy(GJ^bhMiKa{C4+sz|JnwBt58L7S>K)q{+RMFt1PB^NU5{ZaC;BUyX+nW zu6{hW$Z%GY?ms%;MAHA>0eW$m_5rzT5cVbedg>hL^+T)|`*kMmSMI}S8!kfUARfDU zDvfJeE6j_UmIr!Kuszm`em*47Ve}pyz^wswvA)!#l%d8)jSU3nS#7Xh^q~N%tH5aZ zv!rhruYJBc`nA$#P``1_pcj7Wv|i@@2rh@LLBDp-Wnso&@2>#PlU%Ug`TfoThRfSQ z=vPI3#5t&nA021n)TKVtd^Jv|{lDaqMTWDN!{MV#21Cy#H5(26uk|SYCe`RXO&E*& z9#36H@!XyRAEDP!o#?H^W22Ba>p<0YCLYo2DE0ea!zj<`Jy#lk8Bv$w4DJN3r&gO| zxH>+cc%x~gum9dQoEM_`ViW3u%g(Jw8h@Qt7yYWU=Mj(EF@KEVB5gD{`!oaGitL7c zz`jcBojqTTaapB{(fNMr2I919A3*%PY~={V)9oX;YUN7#X*}KEaBb82<=v`My=~kb zZ~C>{&qKfVqA-f{9m9ENukH^Y?OK82>~wgi@v)ZE{x2pwgUcYtOyeV}P(8@H(U<*6I^?pK>YUY%W=j>Y*~bUMeiW&Z+hb5Xrt$=7J@Uk@*2J_rKI^3=T}fZ zPtty?N(F2-TsCSz^IQ5b>Ywd8u^#$C;S^_IjdO>0irfG_TZwqA+mY~>hd)d*+#c$R z{ZQ0sjr=pOjo4>cd~fJwrxM5m+gU6y*~FQ25dOTaEAniAkWt2mNA5*DT1%>j9}f37 zoE5)Eaqdh2x92~o0(~r<@Alxq6#xBF*iZPDSMX0?uGuN)#i# z+q|WQTTN<`Pw%^!FZOa&H^bHCcZgq%J_@d;cJ)X$K0ar_^~Yq=yKe0VetI2^x7}lK z{zJYRhVyLNKc(|`=$B_b8wP(d2=Rz6F{JnDyv=a7AoqQw|4QiXhIJ%k-2pnM?C2uUi{Cm#8NHnRj>hY#1igK?-b%y8o?ITY zo#Lr7fPAKCjLW|1Li5X=R+xD79e4Qf&_UqV=Ja60WzBvCm1y*~Q#aB-tbp;#eko(%6Z1Q`^jJ^(Nu}Qrr}}dS@}Q%(Q=RzK8wdaD>!DY_ z(Cucy)$Oqg*SjO>C6neE-=GI)+lh{`46~q_zpBa+-(o((;lE-)iE3QAC^Y@ zxeTWJFmKzR&K;Ni&})_gAFKLg+#mGwec)E8Mt;N}9Va24JaqrGmh8g3i@ql|fVa#b zecATJOJ}Y&+-gxA^&r>f{@&opP3)i2MMAHpO4|RA|AzX}N2fr~3k*m7h)EUZ86Pgj zf~%_UX}*5CiF`_r-1qCZg-GA47RD?3)uwp9WMkghr^q3W93QcvE4V#)Hm%cM=io1_ zNu)ow82)zhKnLO*lOCddr`F47~uU~a=)^8uyqj)(#*pbsO+v7+1c@#?H zb?i$poL3zNy$V`{`nMjqcpI))tpOKhwt?$?O9vTlMbo)2r!E8Mp081FYDqQZOyk*y792YtY;A(s#*tK8S!aNTh{;uOgth*QV4$9t1HME5sk zH9`LELGN)+DX$YWU%_>t=aCn%POX54;A-au%!_r+1@odi=Am^usW^OiDYrP&ulSrv z@l<F;7z+{CDg z>LT!j)8Mwlm$+|NoEKKhx`@+yMfVL^e-P@BZy8NKCl8^1 z^pg^s&~GD7{f1WoSB=Ugz<*>s`B zCLYE6DNjEEE(VtcxBG^N8@(8?1OB$#LCWXJ9++R{Nq-07-;E%?r?^Bsu{EHVjcXzv zt5iBSoTX5GT9aFXi|_M#ISdc`4SKP+T$=eVh9*n%X-yx1c%--iJ^x%Z)c9x>56&0R z--EI`;Bv0hozV(Z*;XJJVWB3)1$2{s5|Lz5k+5#Wl_#EZ=RV2pCD+GbF zONFuj*d0IO_axj=68?Hy2>kV#^qJ^)>U)awbRf874MrKRSTK$2#A&Q|d1epJS!*rT z0~@jn{j$pfb!A7Ng^wE8oAOp}oPTnTkGOc5{5kosfu)7va>f&ItKx$c(;v?sS*Dpx0uagLZ+dM&Z7O>!f?&c8T2IKi^20XSn?H1-NdN2l2@FUWi`~ zC`|P;rZ4S#{~m%rYt)w3(b8G8-ap3fcbIW)x(y$;ID+ELyQ&ZREkgAvN9W!rt1KRF zxJa4}y*fGw>q~xIg#AbT=XY?iyBxR`x+(}h2mOejYz)rNCqi#ePA5L)65WfMSEyz5 zY(Yb++mANlRC|)gI&!$qPv@HO7)2LA(dH3A?{Eq^(?_FGodDj(aKNrn@ zg1^|bUBKsl?)~9OGS;=o-+Y?kdNSQN#3%ZFsebRf#Ka>urK4YdW)sd?wJ>jt;rhlR z9Q3;u*cSiXD~XjgLL%2>f+ORrsjb{gH-Sm4hfwJ(GBRzYxROfbWSn@doE<2j)Qk z57o1sw+lGC6FnK+oz|(UNx#ojqHia|#r&o;-sgUlhld_G$MxF^h*OvQ3H6|-_lz@o z`SEx3E0&Z(9@NnGQSiCn2R`=PVpO00A2%lF=yidu;QUB+_{h+?SYP~ME%>v8iSV(K zh9trN$t>u_g)@jpZ2JrM5bNJd;LM#PpL}c-&SmSIFXbU}ImPpF9rj`Fkx2axyh`!+ z85wQjv1hiY{2%=U9~F~~etAFIpIN?tX?`=AF!8YL1?1zs7(Qajg7wD7a=V9qRokwp zTb6I@Mx(de6Bq5@fD7N=iH0keF6fuP9|a$KWAPn^>%h|B>h*B!1J=N-&4#nj+3>eJ ztwR0t8`1FL=js#Z^mlpX=8N@ZyU_ouh#7S#|F;}eZ=bIretW=D^lL2|Gd?-T-zxPP zJ~I0T#w!=@rTas#+Ti^BQ*g1g6V+SkZ1`BU3t(ROcGp0}AC~)nV)7W`*ZW#FGXDDS z?=dd@V>I$CyE4={KSleGEstvRyw!gW?&0?5u{5rut-;0Om>AQp4#!cPHLl+?-(}^u z@L^q35swI@-+!w3i20_SFQav5M>tVE_pi19{7VG%>dR-E-%~9xztZgv{Pmf8bdJ9Z zT4(fn%rBI;Df6JWCOr2uT#cgj#lCa|XZx>X-RU7;DW3E7z`5J_dFb~U-B;~P^xmzW z9ie^;bw|Id)nM|^_^(Aq&$iP3paSUcO|pC0J&31LXXveiXP{T(n_wTaSJFA63V+7D z+y5!EFxkZUUGBQ8u^0IlqkVDT;GO86COjTNZzX2oo@PJZ0)Mf!I`Yitv_<~KCAxpA zAy+B?n^UpxF$eW4y8cY_xS*W7iBt3|hIzLxzDGT%7>+fyp^~ zdkNjIWNSLddDBSbN3S@Bc-XiSSf{G+Y@BQM6S^m;z>(l~yS~ud7LAuby+wK#_o?vT zl}SEd{m`$qqsl15`N)64RpBY%^7!FlhRYdF$TNG^o8rv7bufI==>1frUBLZ;FT3w> z7#|PXPwb!bV!njhOy|Owf$+DU(LSmBcB1(I=l`ZWw;<2D$lkHWM+VY;!0!4hxcuzv z3;#>BKk$SJ6wh_P0VW=?<2B+`B|{L8N;|vG=&fGv=vV)-4?gVXbAO}P7VQtZC8zo+ z(i!KA^}a3T;gU_~(el06huIXW2a(bj`x5h?h5tiiwGTiqQZK{DUOH=r@t12xQ{K8& zr+MjD1?x!1(z=tiuAv^(fcFE9o`pAqo;%au_eGVNvrYUg#0%VdzX5tNuIf0$#RIyZ z@SD?+XD+Ha8!lIFBE3sAxSDVR{fZHE9&zTN`sXKc9@(RJB7XKbp2l?`E7-)NW~_jZ z-8vZYiwTWa7=OK$?kCoNI#Av^h)~0=wt*CX+91peyYPYDA1CLY%d>V;Jvh_8EwX%?>s3 z%OZ4dmtO_)#)~dlYdBBMy?>_0Q~rNfi zv5hc~>`p<7GjHU6qnGIiq34-rk!QJphbQN7-DWB{OML@9U$hYG&Kj2co-S6?eEEBB zGxJoNUlr{JuK%Lc=(v;c6iXD7IQvGjWA3+$kNPtfn{RJL~*c=jl8l|lC_T|W!+ zZut%&{UrK7Og;4n+)wyBdan^r>0Y5yljl23Jmu;CKSgqDM?@aN`Y%>PW*EpPNKIK9B`<0|WPixJ><{de#YC2##~ zxXh>qu6n(seIq*y{mPje!7YDRI;W0!%F7wyLqHOAg!iDR!%f+Yqu%80%97%Vtgu%m(^BIu|TW2GooaO^d96Jr!c zqp>9h6dR(BHTD)uthvnE`~~;zy}UV}^PTluvuDqqatBi_u|e8YJXDjyn8P@RkyBP`BFO%`R2Cc z+`k63H?4|x-7EX~v&*QxYbUgu{#DSA)Jsiu{xUm$yPzmNKj;@4 zf0-JGTsxmf&#Tba7{9Ln^JVxnJC*6$?Ez{Rp&bw(E6_UAwX^w?GhDmao!$SE*Y_M3 zGkU>C4M>E)DDx5dWlcX`b?qiG7VRSMt9bW3YeLV-79Z3~AkL z?73?fL6_*cdc~f)c4L2fVXmFZ?mny|((t@)c08xZdT%=A#CtO?GQ+jAoi)+FzSAz3YnQp- zpkCx_&l|4Yurt(uwGL=ElP=>ue?RH0YqwLLqyEk4f2cj_{@|1>&a0ew=-O4tUo>w= zD&!Vf?@hzhnXX;`viFf|=cQXlJ;CjKnK-aGSxeL8sQw((?J6E3L^ycMtil;&wtRK6l#C-S+ z-ADf6f2X@ zergBKMrD#dDlXb_J);x2m|dRsgGO-6{gU<> z8{6fYSC+5sSTMxtS;a4**MC&Uyx8$ED;+nt-(tLCQ(bUbvh#MA@?7zLL#MZ&U!nZ}os;&_$+D&6JY*BNj4TAsa=sMKhXwnRzV`3rle}w! z`u1!S#}k6#wy$)4ZJib{xf1OJH58-*=Z zveTR2#?d}>y*ByuKD^3t@$nwGD*Tql6%jYbasGzRH+g*%)qkZOq0XQ0$w~FlDi7*J zZ;gp_TwW?l^O(7k>gVJ{)UDWbgyLM%oAfO`s1DN;!THK9#BW`Qaz4uA7PyK(1g@T? z&vx8CO#!!_H^6PDS2LjhbpW_{u>ysV9?bAqF z*9{9IZ=!%g{$=k4UwFCk#to);T0BJF^p8EmoIgK3mH6@N7_iEC<@#h-UmEHHA^ghYZ z>-TvuUY++5xM0o6XL1$nx9W5Rxam0`_XV~y73YvmyoK@Fb@!1^oqlwRS607bX)^i5 zo;mB@+u(B3T|D;b4a!f07Bnv#MKIb6Z30)%&!b;+aBv*?>3OpH`tfCw0a?!`>`} z4_{G_c*7^CA3kL+@!`3^MWx##oWH7ml=|)W1a-?={I(Q)@iA}{dj|0szEwG{{T_nL zGy~43$VkK)SqkITy?21i-AAYn3l^a~gbcyCAUyt>?DTwR32?RgFT}%d)W$v_HkJfu zXC{D~i;ZyZ@XN%-0vfMOTaR-`Jg0t5ore_X>VRm(nR*y;vU)k;BR6fI<~VDAfOy-_ z!CA*b*k^R#UEnHz8`AGPMC)+`)xUfk2CjC@K|QdUl6=x%;Qnp$`arMaCsCbDdxm@p zIe)uXR=3Jz-&>x0V;*_@5uA5Cb0hWJKOg+XzqKd2I7KfFZu^x6=eO=*9$6CIm-*Ux zR1bq*W8JYhns*i+0nVDV#k`0M+4qgP0n~4$;;2JD(}ViGPaYk)blZ@E8aW_T#QIWJ=l$QX-bxlzW)pQRfYT0xzIQv*7=yN zHQ=w-wFXy%n`58hoq~zC4j>-bwz1Q*pRR(l<^Kbh)On#O?8-a>PqJ?N(Q1|y>Kq#6j4u*ADP&l^6*_5#3OH<+Uk64!ZhgFyZb+ZLdEOzqz|I(fRO3)2QE@Vc6gF_A3kFQ-$hH{8a+? zHy-4v9T#oqpkHg~-XeUG)_{l9gpWx08THRLlwRSu{rm^$MIO30%F+kH^#?jnd3+4~ zjYsiO(9bM`{gaPxMeDtO5cU~u+ai8eyExThYTNLXEPu0n5B&MOYREJD;c7hMS+NE2 zn96IA2h+KCAMkybXuK(F!PRG~q2nro;t@rAA$}EgG6?=Y58-b%zehYWuTLC&dOfE+ zZ@-K9SwA+}asIq9xTv%mT-9tq>tg5)^lP7vB0loOVyCx{{(#;Lo{4=xZtfWE`W5Gf zAP+kII_0N~57rTDnVbA8#~^-b_IV?orgh0@;TUk%ef0pulhhiVxBZ^@&L+sS{OKsh zrIr;3SC4Pbc6wziLT@9l;+`NX#CLYwBs@j@^3AW{vf!=ODNf(|Fu2;D49+i9>f$)J zbUzdyZ-eW8?Ta`cy<{@*0>8 z9`%tQv*rcnMI|neNpZa3Y#MLZsaO}{U<}T2TXG|~s9c=p@#lQ;PA?}t0#`3M^tR?> z_~@X=;O5CL#ABL;(s?}~yM8iDVO~VR_45%={V$8XUH-C(9KB~bM`7uRD`J>+@g=in> z{xjmVZ+ES5TrWr`eeE{j>ga_3efb+{2v43*!B^2k>4VPTpV$=_)9~0mQ zy$SD2^&{6J|GHvda2xZ2=4Id5Yi>?TA+#D(cA6x%Rn#Y|R5s!Ym z5_;BbHMqKY_g%8fL)TXnPdDAUFoFU1~JhRR13;NXNOyC-C7v6~?@aCVUa}Q#Hl8aWwSeeFX(> zFJe9F>IZb;+RJj5QonlX5Vfa*Z532AN{{s zp5o#!Li>QOU6}U0IiD|dT($oldOl+e^ya63R)Sxr`-2%c5%np5-ZjE;F@Zj}nn~W^ zJnjwFmu|KbaoU}2sGfUtob2?bc?>uUtq|zAO!X%Hsy)Oje%ak|md?S&BKrQy zp1eE5D+}A-CsKZF1dTWEnbnT7qTfN!ZbqZd^{$c=9OrLi!DYQo;C9MIAIFW%02e{? ziQ6~${!RQ|4tY=wdyr4A#O5hkdNHmO@zRCCRZOd|9k(6<;JW=8?9ZmmR1e45{y}tp zB}_-0a#Q#1u3s+c{-&;ZBL8abKAbP+`F{AAXZ4}in>W%ry-EA0opTZMqH4Uwyx53; zp%;zH&^%uMcZKU$P9wc)LZ8>vqXXdj*jmz883MgMGYOwVZT(!dKZvT}X2$v?jLS1G zxEv_Jb%ia6$1WO5<1Nq~;}zA%ej!gXa4bex0I~sb&F7pSLQoM`}V`Uv5uQ76DZFmg0uI@V{;t0&-PN@jy!?h zWE`V=#ih&OW=>V;W!U>L_~%ao=e5U^&$Y#ojDHHi?=wm-NH z%%hzTJ5e5bb6IlHd4DASq%=Nvu;&A`<91s|#AE8* zfZo*dk8nO>-(ql9sTtM_7^n>HDG zy*3T&otXh);7zC=Y~ejLkE7?Ju0(=?j|lO>c*V8Fs4IT?cZ##eS@_t2zp4~Bt{T^< z-%a<@oUhm-1Klex5l4AweHZz((Vt-5$>)EP{!vHb9U9<%uGlWppK5@9vs_{kXRg!4 z6E>h*k z{-OMTOve33rP976@!TaUv2BRn5K&vvaP9=yW`{sr!WtGhwq`pxM+E>7DZg7}7w z@K>W+EOvT!Whe22W1*Khb4_sEG>#+xaZ`wQ30IDb%cDvEg8o0q$`*@)kLN;gbD$pf zF)lLU!@rtG`bQe~tE~TXArGQVG`L*bj_zI2K^QN;IThRs?m$-|dy#+|A?7}I0uXcmtl=bzhEl#deL8`AC^Y@ z+t~+AoZjrOj`&60Du|QaE#c>t#rclkpjSf&pdMuOyO~bUl6^>D_4_l>mED8-*O$D& zRagMli$2vi+_ke#wJ1N~8?i3LwaiY=$9Db?{`TjQm|s3}R!;cO`;Ov&Qw-}%H+?|! zzMbv~x{(k3)s=SBou2RUf!>roLF;;ViLvmhME4D`gzhK0@``A$EWLS>ig@_mRXAta zypROP#o=)HFj)^=M&%1}T=Qs(KeoYn_ns9mi0=(pp+M+$pa=4)a~z^`>hVhAhg#Bp z<##I~CF?O8pP%aCb7E>mkGPBAO{_X8bg;GSuY6+@i7 zR2Qn-usti_Q;qgLbG8KXz(1_PK56f_fsg#LG}YU#^GPXL{;E#y&E11D^6z5Z(&Jp$Pe9FUR`kesJ z@d7@gGJTJsKJ&%>fnBQzt{U7$9@LC@)SKMv#grL1V+ z`ejv1VO;Wb9P+GM?m~WKgH-7C7s-fUjt;@SNE9D{e%awB;C$t&jgLP*kUXlJ%b*i6;4$#~BRpGByeQ^D( zghHJ4T7ZilJ;Bwx4-trS{Ab9UE?Xb_p6a%4o8w}CQ|RR<$DwEKM`0ghGwB@BVgF&? z^d-QXOs?Fx8D$ ztlCIP#^!Zc|?MnG6zv_F(Wm)=sYO0;i^vZf~zun@A z*IzFn55hYa=8F~mn$Cse^t&lN;56#oCQn8DrhN~J=L`CL&AdYf!DrDpa8`UP^3R)X zn+V>D_6Pl)KjM+GTY9Br^=}G2M8AC4bi^Z=-!iAyx9R`L{LDW1=;Z!k(C4Q8K`39; zi45@bc6x3bpkJ|~CgxX7;-LDVg zv5}Q2|3@}WbN=#|m*jtszHiZf1(8pYvo7T=@GSJ!uXLc(n>@q7Wm*!}1uJxp?l}!= zlRk7T@+=~6RdD^XRZB^~bRp%xdmXG_U6sxweY`p9QzeFuaC%W?4aI+99mXY_7R9{i zoOFLsHx=TM$4;Q0+1~8?$qPZ_J=Z$I#c8Y3xzDcC@0xgvIoOA7f#O(SB6c&y^K`6s zdOdV6;^bd-qI$c!0(Bz28WHWT1u{Jx|* z46WDND~pRlhr#*xXRz;?u{Ay5Q#>EWr3dZ=w{6R{b9(9365OQk0vDe)9p|{+KZf|4 z4AM95Lg&l+Mc~qIN55ju-|(Q0RH`9IP)H+ywKbk9GjJ zQ%(`@d}OBc5f$iju4;6Rc)tCU9cOQj(6|oMI#q+d4nmx#=sqUfZl(46)q*jO^Iddr zxBrU*XU#K)LI0=@;^Z0hJ44yeXSd@zd>j0=XBzUX|B&?k!zuc|fG+a^<6;A&vF=zu z+W%F#RaF01J13=N`Pd8nD9*O@xl((*Tkbf|ojqUrXYyw`z*#1pv(h&Yt(Qup>GN9o z-W1P?Pr%LC)0lUa)&<`wFBoW8HNsrm<}Hvz-J)vv8+-h;lF?fC!y`+qY7@?cKXfjZaY zChB8MVh{YkX>=aclkQpUhU0Qu=J*u%x|;66+B+WmJpXK3u;cvoH}KK>OJd(v_m)g| zTy?ug`%Z2;-&Nm|QSiyrg!ZZY^gCyMu~fKMmfjv%lkQ%bC#?(legOPM|ANrV#`Ha# zDfKh%Z+xvk`GgI|I+9^gi=03Ivl4vN%Pu%y#HFwOov+CZ!sle+N59{b#&@FA%Zwkv z*{-Ivu1|l!_i0=|Bpy~CT>SMJ?qfW$I=IZF-{G62^?~Sjk>?rLj}`wS9+h?)6i;8;tXj)vtzgUv_Cq`ZL9mXR&ScZ0B!#SHkCcH8=t18u!i> h3!Yf+uvn>E4u+j*$B{}4at#x9{8XWg^>%T2s*o>$o$qn-DPyledV-&yTz^Pye33`e`_ z6pnTok=6g{h3V#b`7nW=A2S{8*21jkhd4bl?N*2bjqi^I7mdHwH>=&V7@lVbccYz! z?K)!GRa91c(GM8EE|i=GpJTIcn|67C+Qrtw@f>8XK85PPVH7$##6)fq@M8M zo`>PDi~T@;Wr-hmOgq03jdu1|nMCtEZ;{piUcZ;7o!u=*^YQKC9<;knd||ibcvxWb^5o;(~UMiFjU&Nuu`PZHK@QpK~^!a`fBB_{_a0JInmePo&;9-_@DY30g+xb0oH<4n7>e(C7NSjy`A^sx@oR#e{$LRT|R^Y6#q`ZypI0L+N2XL8|MttnKNbro#;8wYEv>zP2 zM0$sA;I_|baFOaZ%jj*3_7lmDfUCuiptlP2f}Z#2iaOENPX!x2%UKg#w5yDH;j=a+ zfhT>&ctvClaMk2nyy5DkFX}>i_#i*(=Q`{l_A2B7ZITh{ntfBDuhVk;ZEx|=(e#B`{{}gESs?!S0qdMH2&dq2w&oz^?_H>W2 zi{^oz7hXHv=-G)XG_LMh_mh*)a-iQ`F2q0ofqe3)#vKgj@2(uTX6a)W+t2D0PI${0tDmRE1ru^6=euIxSCdk9+RrVRstAW3O%QYj08*UdZ zPkETMp7O9M&rrj8(J<(>bcVlBn^9M~^B2+w?uVZ5To{RX{GNgHT#do4dh1bFcA0SE zv!Zcd;KSx|^!rOX#%q^+j(lp@L1C_${aUG6>;2t@%jUb-H(tPhqbB|I7F0iWLXc_a z*H(k;+czlwUgzTsXXEl?y(o7t)U%$L5^H?4-*t>j9$yH~YhT3v&rWOs=WWkW{r}e` z!sxm0Zg6`-OXPt$wWoFWljfZzR-*YziuE#j(Rn`f>}YLpwZ{efu--8XT%61Su8TJw ziFhU-1(%gyqHd+vg++$5r6IgT{mHCw=~Y+q4_ z_JyM0)?#m*3wBCih|yb(N`SNU3lvYy379Y8l;yKJ09^P7;oPy>61QDwye!vkoIAq3 zB>5*kN54FAS)}n7RcKu7zijZa@4ue}zVIN8w{U52o~M2|_>S%1DqCCPHQvzvbABDT zl@SWgzU-fD^!(pJq!%A>|CX(WK`#P>s2=)fAfH_9+v1w3w;#~`L>^(7M?Lp8&O2F! z{Plpm@Ry#P*85UP{)0<`i`LaKk81ieaG8G=e57xF)D?H2^TLXnLUppLH|9meX5D|@ z`4a!73f1A`TJRC$`e0wuAMXd4amo9)v0h~CLvYrh$#}!9-+iICCtSn0guM&*HCgi; z#w$O!!+Npff5rL5-Zh4gsPQM(m({Rs591@Q1d;#V4p&WHWZfgeaJD8I{`$-}8gG%2 z=+}Pa4X%zgBYo~UsDDgGxN`N_Yi-*7qyl_wi+ z`WHn%QT!KfV*lsvha(JEdwamgIvb92Q#6`8*l_0J3?IJH8Jz9xjSp}pu=gnH7sP$xCk_=v7m;jcp45U*MS`wV*&0M4RD z6F*R}CE}?^^QA+72iK>n^fCU{;L7ONes>n}h!-Qc;cTe~xM(>JTov1keSqydPQ2$r z8gJ@zrao(LrH`%X9}?kHxA{eWol(GX09-k(WzPG(N0m9F6N?UFc=_umwi1OC+FQ=|36kSIz0T+2}>tuF%W#t>B~TbslTD zT5y2k|K~K~X9w0M8XuKB3H^#(0{a`gbbp@FTMnVbYn8ysa=Y{PX zg?+~An)Q3Zonq9lQ~t2zOnkyA6B=W%TNA*L$7p~K|UM{0N zuXJJP_wjV(hx_zI{PIjb+E0Eyhrb>B1NES`MAG><<2~hh=QG65epU%KKJ08`aOlF3^KJ)-yX0WW#y>!TE9ZZ}Ma~cH3|FP*f?FXE!L`Gi+VH z)s5i&+-7bJR46joL{EfD;r8n?S&eY2^I!{$f3dK{k z_f*8wVFS(k+pZX|+~>Q(aQXZx`jwwQ(mlj`%v9qe=FQOb#xe8#=!%lreo~?sH zkw(w_|04e|s()F$Qa!^(KyPrn+k4c5H9euPYbLiey~;v_PX*!#hyFd+9!G zb*FPj9ijUYPrm{mb+9V#WBSH=@^5n&`BAGU`xqblc0ts+yK-bv2|m<@u}={G}`1f7F^1p01fT>UWwK>k0j?Wi{LkAJLoMTh-8M z@Yi8gkY}B6gw{p=8MIDW2Y(ZfxKNVfkFJS%6hmeP8P5Hapl5xSgIgPV=R?1(==UzW zun&#vO@72_Inw;<-Fb12@YZj!uJwr5GS1y(eZK z=-^^nKKyRO8pTi^<`>00>Y-tH?~tFjQJkf3VqE%GtHsI2zB%cwzY8Is*0756!2RiW z4?TP&^r~VuX}CH~_Xo?xkLvSKli`NTwiJ*3+Lh|RKzZa-7u|w!@u#i9MNTiwul;5W zxV_yMT;6gTZ+yfNMtS(L16<3^9S~3D3gBwOF04n^YRnW@6aU2kV{hbvfd;7FHoG#TRXw$PcMqoEfR66S5xucq}I^=O-=uk&Z$C& zaZcH__EEo1E;Ns0*2WtjT{jh6tE*I>>vLmX?CMm{*2NMuk12%{jb1#z0X{l=W%%7&!^v)Y_DdNx1N8DbIt76y4n%*BG%ZX z-|}d*;p$dH#AAItgn8lJ&n+_k*2^vrO}oCoj_R;)6Wm+ud>*7PmWRgMIzQ#J>m%q@ zlTugAbM}9uaIX;ckCFcDQ1mOC`2?b0mki<)2U46Ro&Umfi=E-aqdS1xpTA)J+IhXe z?aAp>|5N)$L%((*eB^h^o9a{s{?^3L;P&NrSB;L{9*g^!U5?_>8M(>l=<#8Q$Gryp ztxsQ|w^ADf!@pl=isxE+=-J~u;fBj~ap3xvE8?`q+Hvry;z<1LYwT}!nHr-E7yo*K zOV4oXcbuGKxOJq$BlF4f9s;-O++GWx{wJXqi_e1VR~;6?r$tfnsg;3xR`1JnPd5H- zLnsgNm$5(d1~p<0xAO*q^O}L!-+1>Ts82RvH|1ylE9h0B;xphg@fJ8cS&8<^oXf)u zXF*HBH5&)ccBM~)zHT!4=a@kLi94__@rX)@)9Un{e41WIJzIma{?2&*FxHWnQe>I& z(R+xq=~cn43XaRcTgJmj-HO7z$dKF9Tr>4@)B@^vK?LencRE1trxg!UoDO5i-~0O< z<73y_4{qHm1upfunTAWX9RA|w8Ev6gbG^XDu%goF`Ovb^%TKis5C2ho zDE!M%eF_KqdyTc@AKafs_l*>PLMgm=h-JRg_^adecNU>PL1;qIo=_wi+&rErt(oNxw7mJ3BF6HiPPcjVMC< z&*OZQpYeGq&Kcq4zj)|aW6+$2SaZcyNLC!?oA9eocH?&daLMm zOG_D!v!Sy6};#cQjy(l&Z-1c~jJTUbV>&w<(!L9XE zNI&MmQ1sjO1vo3U5}eQ8Hvs+qd;%^e`-59Y|Ltk?EMW@y%vcS7?&Z0_=y~XN(q|h> z`WLGL4A(2;z}4aqaJlh>FkBTL4K9D33C{ZUi2!$-53UpIU?0QBD2BSONsjx z>vT2J=&h@f;G$Q1aN&Fg+eJnErSdfx2}O(eNsq&dPoTP!~5W@_D}M!)DiL9FD%Tv^=l8T7x8Jn zztQWYMp#Fp{y4069qhHkHIv&3m#N>y(d6^%?>&v4-@QZqdd~xAHGUgpxXLjCTn7xm z`r>zHVSUMSTZwNf4K7wbn`HE&(pYfiPxlt}aU1mF8P%0qdI9^J-Sc=;qqi$nMf^-U zAx_?4F?Y@6Y}ZlpVf|4L)&ytdla1~}b-u#m5_HvXqW)!gb8y*sG}enf`B<1~=dbDf zWlL6LU5I=+I+=de49XjOJ`(fGHq;J6n|ku4CwTBvscp-f$HY3V$okh4kGT z2OF+?M?i0ttcU$mm&$|R4XpHW(A$%0BA@EL!Z{@dC4uu&EodE${E7Pv-<6;0p*#H! zED!lEHU9F@4)`nQ3hYH}e1t<;)S<{p=al-GihkLj0rTK9 zt|^VH%@_E{q#5YfX0$(xP48%aH$0zY;t^&15RdYj1s}0Ida?0QL(|YNt3&$|^DlvU zRI6`MJfl9Lp7pDrD~*qA-va&0LIdH$%dA~*IQvwXc;^AM-uo?DfqqM6z=!+IMg7}L z8m@xRE?P&@p_Mk@?RAb5%_m>zN^$zsq5a`mebk%WPv@8DM)C8J1$~k;^&;;Fiht7$ z%71D|zwuu&E}pa(^J}%d0)JlqKJqMsZY(l-*^$;S ziz<4^xf5^{4>yW_6@{g*9x`X7Krqp_kq#q32%S*vG6Jlu!2bJLX-j;FFUxZG=bG zx_eB2H(`!ZF^1cl=${I`t9`v=i4Tg)l(88GCpg*953+q|(K)X3 zT|$1Wmb=g|e^UVKR9@XX#pvxN$rR7{zTozuwWMF1RkxFG5dYi^=Zij)Mm}AFX}oV& zbNIA*4zAKifLpUV4K!TzruRoxyeqg!o7vxRma{s>%X*!=FhT8?R?gRgL zBOZQnf=9B^_kD?e`Pp#9qsP`xFnZn~>+i^VC;Y|HUqX#ujiUOuk_Vwq_=c|ajh?yJ zK|C^}66V(~d=UFEt3MUoTHTBG)!0?h#)rS(2(GuDr+VxBc&y?25#2XrWBU8MNH{tX z{%O>&Zhsy1z$XRugGzAgi9;6G{K!1vgv;(tEmiG#Yufa^-O` zK6WwMf7GkF;43?Z{gxQ7iaIt0@dO7^{C0253mZ@Y`>-lmoc7g98!65R+PB5a-Q-`h3(ezu zAJhrERG-#M)v}mJYs@hG4q)}py1&h90xlnQz3xBfEf;Gze?#{u-TF7^)%aJ5@Y&@DA9njU)Q`R%*3LCkZ!c2B z&!=D?=3%{S7`@t>o5rr6(J!xfe=hWc|3rS+i(FKnL-S!j(RK**vhPe2#zVzn~;L4rWoebSU^VN>x zWDa+r7w^{pW&D*R{Vv2Np95D-oBJEicGG=KC9VgzPM#WVxHWzZ<-h1u>UVdO;fCuz zH4&#=o*QwhJ$-f5jCe>+s>3UbA`MrrbZ@tN(tahrJjc9S z)!d*Lzf^)=P5Kr06MdB4Yvj;8l%FT9LtHa`*aF(eq&+J_k~+C89s=OUwh zII5*41~W3o-oWcliSszFPl$YhyI-;dm9u0|F3h2=cxf7v86%Q?`g!v zKAno^?+u!5^n80$(jUl;bBZ@R=x;cy)BTdssR7>*znB_N`#@Yla2ezUf4hSl&Ue{7 z9q;G-$PoBz*$4h2t~2zkYFXr2?j42kioa_^ujALzIq3T$7X4OVpJMv8YTlv!r}TDk R@pn(+_dB3p7M2u~{6C#c_M!j) literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/13.npy b/MP_Data/pose1/13/13.npy new file mode 100644 index 0000000000000000000000000000000000000000..06b3901b06b5f3aeef008e475ff21a3dcc3f93ee GIT binary patch literal 13424 zcmeI2_kYgU8~=~3R@JE89DBux-55DR?Y$$$LF}0jG2;kHY(fMT9DBw7sM3<7rADpT z+es5@gsMG??|oiZ{(|qX->+Zp$NfC7_v^aOb>=&_CGEPl?GTWGjc1d~2MruMAf&u6 zFW+ELz4G3?{Gibx<3jq4>N`3lXrSZG`i&Sn(8I?L={IJe=X(X8I(2GzSM=sn`Ty;| z9E>p&=bh^3`P7l2*WIV`f1jM_`Lt)h{Nuih{)uQ8%e}5bH!CCBbq8vfyQ|!HT(+%; zc4HaZ`48#OcaBB7hzLYGfBnTef8CPW_5QFFJpZXFJ^!#C+Er-!^CvQ)U1SYLyA7&? zc0Qfj`J33kDE>OM>$cyc-7ZP@kMMfn+D+j?=%4&=)I}GcbxikPm>196xxb*@ZfkbT zwach<|6LDL-Shgu^IPsyL#|z)pO)sh-8bxt z`((B1KXaerlHX0&&Mxo7ce$Y%jbl{y*REYI{Cv)}>(CL&_+H=#JTGMy$}g_<3)jv& z-o$ezE%$S$vo-d-q0a@VpZYh(y6?KikC)u1C^Crrj_rPx==pB)@1cC{N93WmEX4Dy z&$}yV?{tF3HDwCot8S&?XT7}X`L_q~JUi4D&#O)u@w{Fhm*k!o0X;CU^!ra&U3~R$ z0^+j=i(bG#BRwwm&Wp@KTsf86*?IpRj+;+@^W7&q zi%l9>(%uSLwC4KdG{&0zxdmI+7&-#6rNAr z^Vd7>yZ*lI^G2Rev*a?>@wLe)+;{Jh_gp)hUHO)47n3U^zRuD(lkj}k!>XZOt)1`} z+C#2T-9GrEU38s|@1|nW%dTD3eTDfi`lX@W$Uy@Wo$rEmX|7!-Uq#)_=|Y)>=R4og zCDyg`a-q-ge22O;|8wP}ydNK1?Aq0gk~Cj8-n;4YH7yol-kN|?;QZQDtQY$+2k8e~ z!+6X6_i3NGSa2ocyeJC2UF-)RR>`ab|1A%=m^$JH{J#r_zg_waKI-+zYmUopdt;oQ z?H!19Y(~u?zP-vg*REUNh28`e!#vT6Tjn~w$d{hazIK>@{P58Q;FWejZ`-9Nx#wkr z!P6Y)TYQm^9@7(bP#LcwE?-oi@?5kSTnx{<(CKY-y1v(Da5j<6hX3nE>HWP)`YUUq zp+DOg+yoTGeqerI4ZVHXjP$dHgR{8o^Po>@3C>#?a65K6`B!KSF6*|Zc{J&GnA7ty zrNPyasu&j&m9WNf_TV}CD>l^v7d4*7fsYKrys%vcqdub8LG9;}>!w*qf9M6(*=K1f zrx&A=Xdms9hsM{()OFmfT}AtIa1n5kd21`@Bl~tD{gMmtu}|8Mcbspm27lcv5nTJe zZVUbTJ*1CZgmIL8ZVz|<%9f z?)=r`a^QSc7vw2t|Es{C&PF~eV^gdvb*oqj=VL3hCm-)YREPFoPj-5pc?jyp8u-A+ zWGJ`Jah~@cxE`Gmoafj+&vEmH&Ns{UVgBo>%O^U2{q`N=GT+>oCn`94vE!;~c8sHV zv#XYRB9`&u>@E3P( zlK$sF?(}l{J@Wr$KK2uNdAkN577e{lO~O2v(XD1U&MMWTJpBqFPZeK&yyNQr3XG%t z*6*^P=R4oCE7pA~5ek1D@GbPBy1;tW6^et4`y0V|t+6GYkG)ft^66F&_2gsnH-vxB zB=Ub+n7E(b4*vsd$bTZOQG?*_BXTRIo0RUN$5>-!C6kP|F+;Z zusQK}e%NnK(+S|B@`8(g9-U_$k$>6i=&yb94D~dpa!hsYrtx0NC*xJzFL*?w>CWG@ zpz}(UXn}g_@F!tTFBh$X5C7v9;_5n{6UD>%8;12_d2c{?7Qu}$j`m?P{&_YEb@zHXttdt&jO;Ut}fy4<)hQ`2rK} z;;PZ35myz+hJ9Ym4jJn5w9nI!zsR2g&g%DzcAQOYMgB(@(0w3pgMN;SpNdod7psGt z3CUv}Hynr!I6^S0bl)Dj^4+uh?O+qu;H$IR*f6xwG zRScZq{P~FCh^z005&tg_?lb!DOVqD|b!ogJRafV40*g`HrPq*;KHjgd<07#gxcGSz z^>_Q0VbJgSmH6BB)UV1-={{NTPvj|+kI=Z^ShmRJ!}2@^XYYKdK4prAJI?2Rh4m{J z)xdnSUoTyQxVhyteHP0(fJJ727flJ3hK;9O^aW@j&g$;)cU%{rM)@T4K>lLsrx54QzDb3@2+WE)%N<3RIKAro7|D+;#GUsJKK84X$lo-IY~i>t96ll<3|y_e)falMnK==5cZvlUrur->M*8<37DIoO?gQpb1?XANzu+UT z6Ib~UQNOzXjq{ofrS~=QRWXcUSCFT9E5Y@nxm4%zNyMY~f%Exs(2I_V;KI8x`fIb6nh5_y#IXC;!Lk=V^(Z(a5L67;w|R-TlO8y>x9xfTpE1BUT;_|E( z_Yi$wP~3GFDbK{sICppw-N*P#3m=`ZlI~;W*1}&5O+|h5`i(&@u3C}_^W69z!MLkx z$?=Yx`KKtKvTecjxi?Fp_k9np1{VVtFS6mh&?n}DvlY9r|Le2}%pV=w1O7IoH|7cN zI1u&cO*(?B3Ga}P%v3qd`OBr`FCKmcy&Uxp{k8oIQ$86oLvLy?!Mf&|>w*jaaI8Dq z^agxPN_WyfnM?f*DVy8R^{e4Q)J+^*LVA@y1pPXm2YNfLF2<30M~?^pcPaGtc>*}k zI5Xsp2?xe(-w?Jo+g>bSDw#@bA&fJg>`LOK7bD^GL!mydyGOpobs0sv%^Ph zD>@E5FX`2@PBj1f*Bs!u?)VAoOAIK2aaWU*ah|Gy%iym9$CEy(+;pdBGcS_9Ks?Q# zwD5J{H|af*k1Pvr@5ByC^vKnOX!J|>ErxMqHNx@UA!}^~7nf7fFLSHTN~h;9NzZl` zLOu27Y_ag^MSu4&heN3jc`|6n*{EjlF^#9uJfC=asN-Tj<)evmq(A=47(Z8^O0-X^ z@|B5Kd5`<5)zxVK`R)|Pg{8h-;rw}E%lqy*sS_}N^l#B~+;{EM7JAVyFV*LL7Sz*B zPln!H$$Q!9Y>F4|6*Bh`=D2Di?gz(VYWa zJ3CPZ{$lti=*7JCQu9ea-XC#gzO!`y9F~jnyzvtIo65R# zgwvY}0pKRb48-LH(-t@`!-_nB--UzV_Qx01*~zEOXUu2b zEq9kh4;RD6pkI3CP3+J5=b|y-y@ykMQYT}7(?yc;K5kni5O4GfdT}^A_Gi8SB5_fH z^q00wbw1{gSn~g7Jh&`*F4A#zU_ZF{XA-zQ6^DIEB^IGNG-Y(J*i&nmpYvJW3VK=i z4AzmF`R!WgqyHkV7WshNDW%qd4~v11{CY0N#pug3osSHm-y=&Hajg+f&zkKe z|03hzBlZ@;KA@-V2G?Je1ZRb_VV$!7R+9gxUrQX!IS;Tzuyz+bv-ZC)8tqL zE{`>)c~T+}>sLRo3m*|T0Cna^+J!nF)u|NbkJ=DVV2Y-;h9&_FxpPgp9I=>bY6%%Z?L{t z!584HK_v8iSLK0-TkbD#zHtNjoG9JP<%7>`aM_5zWe+n5Zv?@;Ht|;(tDpE{~1@Yzwz9in>xLI_Z`jW zOXaaInVPNp_<6WUJ4ik?24Ft0$nL18$=w-x*1O|Hr{k>(V7-Wy^=SUj7>@O#BR@}a z?Q&~L@_)3A)`gkW-Noe*Z^-}DNQ|!zIb6nZwYLp8dsh_eOAWh#dour(?g{2i5BS?Q zEhC)XylPMSg2%9~O`grcj_XEr-_Rw>(s^1fIm*xJ7oSEx>hE>nW`}YW2OaD(vJiCv30xwVZ0o{5c#Z3tq>-4JG zQN$IW+7RD%ZJ^_#)f{kny&$+Mc&xnRb~6W8+ai&V-u{N}nP+k$PaEC=^Fam-jCXpT zzVFEb1yKi;v+82UW&H;5VU@gSzFmC3I?=ZKKsAk z>wLsX3B5R!gnW4KQJvw__E*aD%rMl`{;%Y4@K-}+~J=M?+&7vid~ zV`H7(%&SRp|3|+!>6r@!GHHo!-h0M~QrcX{jc8F`wQwUNIr-hk?V-a9VQ`B$cMgzs2_xF#$!-77vmg%AID zjp|mhibg(%=zeAIrqQ^Zzl-^%zI#UXKad0CB5KD?MxMo=gNuN}$X_-5+|b447xJKA zvKakNZ6iWZAN_##A34uh#0y&ofA&pR)F&*k_X zaqXCIkPq`}Il*zA^+#}%D;v1_u_E>#Jwk!A))~QhzBtrPK0QbNkCRbn-alvs;^tjJ zK6NLd4$QnC@3<-O8^!e&;M%Uix)WpmA$^Yu;5_mo^lUMW7oS=a+$`IKxauEY#I-(M zz}Y?Dna*F%%}VoOQxzKbQ^7kOXOC+`uWtMay?nhp%5ic0B*lG}na-Ui0n-ybT+gQW z7khzzH&Hp3^M)LGY$wJ0!2ad%NT8WH{wn@C5R=uj^s{i0|5g%Yx&uFWK_T zaZbr~bRQNQBH?diE@HnG-n5Ryt3PO8-IfjONY$bJR(-!6^U&nD7VhdG->inejX4jl z+aE!F#QJUEdUKAuEQ-KO^- z_G_qgK6X_y`BxiB`HZaB$8o)Y=7}xY37mQF3v^t}@k0Gs>5CXg-rAP&^Kd@<0yq!M zM(g_0ebir-Z32Jmbs6*7q&`Ic;#f;?R&^KZY~E~^&WG)weM~Rk1I~PRjB{K*OWz+Z z3`IV2%lU4|XKgCtiguC6M{lV4qtn}lrO7`b5k6u|*QwC2dID~`4Zu9HKMxX4uX|Jk zmv^gTe0hym*oQTr3~uxH#lFPvJ)-}IP;ou+s3iEP!%asyeE)kv9`PgoG(Q`k9P0EUl=cmsu$}t#d??1nHkn3odqz<{r@}Cw z`40L!0DIC5{gofH%yj;y!zk$4#GV)zd#_N0<6;S&%l!Qg@S-%Y<_^c-0n`hsr~T8P_~OJN&WEiVje4><=V(2y%z^hu_Hh=t91%lx z_BpUT(IZ#Q=>Dmm?x1>(^p0_y`_Or6v)2YU6TVvQIJ-^zj~rf`=1+=m9T!)AeF*+` z^mXieEX#qW@Hxt;4pa7ntC-9+ot~{~K;u%1I1i5>;kf#3FzJ7%{}01+_EnCXR60k@ z)!h{LOVkp_#Shg{A5kka`pY&x-s-qqH4Z*HDE;^M7W3!9pEsqr{^zmobndb<;8Te5 zR7Fz3m7F`laWkM+-EG~yU z)%^^}QxD;Cx6XnulF~!Mc-2hmrr~%``46rea)l z!;awA{{y%l=oRmLWYkddFH7eLn^JY9a5Etnt(QBSqrt;kf$NO9!9~i8RgUX` zrsN+?f49_WMR7mTO$LCg$9bqec`Hx!^XS<`+Q-z@CRB$$zx8xnooht?&(r_^;gpaO zi2J!UjeE!_8s9_rXF0uI-5;E{Xa+6|b)F4>7vul``+u$iqS;Z*10Ay>1@q}?!!GXs zd$TL_JEE!M|Ci%t!El`Kyz2wZKYn@*_Idtoy}(3IyWQJ@c8 zCfbL$zVGWeI~Iz#_Uu~dRq{pJPfB(t9_vf{@Plusy7($N{hY4RkJeYA{N0@o- z1s{`n3ib`V&uftLml@lWKBf!KDO)LOq|@6~(U;t(xS9xmvGI8)r&nb=g6rSwBY#=r z^H|4iKs#_Xi2i>UZ!;;}alWn>xCy26)QqhZ?6_PufQ_h literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/14.npy b/MP_Data/pose1/13/14.npy new file mode 100644 index 0000000000000000000000000000000000000000..f894ae87dfb9b0579f187d2e329cde68252c7d09 GIT binary patch literal 13424 zcmeI2<$qR3w6+ImaVt)-0op<#xN8P&ao2`q0t7FV00|lBv=M14#kQT$+S?M zq!6Gu8>cPq4R*5bmG>Wbzn;UF=l5K5?|as)StI)i^V)W4)4oSK5hBKw=^HenPjH#K zvP}JcwafU(GW~`Hj|>hR8Za!lZxHe3fkQ?FrScI20)Gff{a&_8&6-txzV?w5Lh9+D)sp_Vi!fA@1@j zwA*p-&@O$s-5#Hbb`urI&&R(-yKTzt-tr%A(et`$YqWchYM|X4&h4(@`3LB#^A-5K_Pa*yY8SVwVl@%J{Sbn75mfXFwdX0wih{p<^d9+jCq7=Ic2jXS+HKF{mY%oG(w_fg)I(}lKwLLy zb&fv0WsM#|_c-<}_>}zPlKU=jEbY=wDsA`jpy5 z+$B6GMUE$=vx_&rqEDG;7V@W`_$T9JQG#O8lS?e@(t9RCz|pW1c4KVHzMtr)O@+Qqf15%gWuisEr(=XQOq+9u+z zLgpFtsiLajdDCvvd-`ry`K(V!{nRd`B6J(Z;dymz8QOKPr~8PTHVw!S*H8Cc#rLqTPa39v_p+Sj{$IQFD)qblQ0Y3_R}8*P?M{_P|FU1>4Aidolta7y zE&3+4i>v&+z1s-wE@A-Zadp?TXn+13^)DAa;O8el_&y=^G5d7h1N2|zFXT;SE%b>> z<*Lh?SZWuE&mU2{PO8CmS@AQ(t=8_IOYPp&63mltUP8Pd;+7NFeiB@s3BL^Pmm7K= zc9!Sc-NQQb_SIiZdU3fB^j?F;@KK4UR)BZO4lY&=y+}TK{Ve#KQvdRLn=};jE{>j? zLwXe*h;=No&j43j^NgV9yoQ&c7f17=&g||d(?~BboB>z&nw}$_nUHH1aWi`@xM_3i zG;zJ4y&fBU>D~R>;I_hMp6^Y^ek88%Hvrc? zZiBm?fzi;PZp1vpm)H;V-5yh*f8C7v%Mft2D*^GVSKopgbrRgw^kseVmdqRWM4hOY z??cGPn^KZ_#;TYX>GsFN|L`M>*QM0r`D*$hhPau~3w0r~3`TyuvJ0&*@geD;mp{Hh zp1sg#wMg&$Pa*%ZXKu`|ZY7!!mw|D-Kkq5R^ZsId6Y^2#+JNi9$?%Z}14a?IpZLJv zTj9V>bmBMQA)BCA$+Iz!Vp8x>@;5K;uz$uM!F7e41Bl!DW0~jQ$@fbJTHztAnKYtA_4&>!J88C4! zanUOy=23W?z`dO{x!!K_CSihRtp3*c&d67-_Y*s1Wp zxgA`;ddxnbkDCO(v;(+Uet_%q!pAPey&5mrKjabO_bP>BovIvnS%0!CxLEoV*0u9X z;rt{-BLC{gfXcq)GocIgCf{q$+pM7RfROTU6I+?PgME@OI+3thu$7IhB|kjZ;c=>N>&9IeRCpCyXGd= zkyP^#zbxGd=bpIXH{X}^dHEjWCgy-%oQTJI6x9l$UsYf=xR*7)F8O;WOM!c<8*n}+ z-mQUn%AJJ2%~z7w^@BYd$X~Wy%H!=?8|&0%37JiLUFHP)U+4~Q*B%2mGKlqyYr;oO ze%zk)uKIXzF|#316A6>}e+C2mfB97msCxsA|^ z&@;*O-46OQob>8x66fbtQ_iRFy%1`5mt(-qF9$jrWHZ2f*c&V4jzmpMtw$!*MQ1H)AyEU1An+v*Hrsajg!cZq>}J z;NIyl=Cg0`x%o45{mKVi_wi@_mb899dx?HseV=IfAKA%qMrUWAJ$u85>uOt=|56%U zE?I#2HG@_&f7G6N^_EzVZVuPKFh7Ee9Or&jWT#tD)7p{ZLKjYxz zO?`=Vr?#h^7g^>ofA%HnM~m|uXY5$!DS1$bsvhqH>UI$JCAsC!Na|O0`IFbt_2+#5 zG5dZXE?Nb`M^wIzak*bMU|u}&0OJ)ST424%#A_3LQ{}o*IrykIwXweR?YQsAN2c%3 z{yAG?y_h7+>uY*A`#;ZuIuUK(;hgpQcH{U18}s@~a(rLfUjf`KTF(8(9YnpE1imMj zyYdXhVRPm))UVAr82x&oS+LLByvzGjyX$!m@vBexeyG>KjUuidHHW_!I}7Km?pQy7 zxLj8dJ~qAzpT8?_1`{^}L!oyUBjGRo;!qDNJD-E9#yYNt#qZ-1QuSisdd^#hfylFc zUvw_{cstqO9q9<}@+}U9e?&iyf7UqWOTTMM+=eEB8&enDo0HUy{B4JVoS#vb5RcJ! zG;#61CG%Vp!1bNIgNd7Zd%*3{RXpArvpLVr|3IAHhl7Y;&kUPQ{hFb-nIGajh+~rH zeO4x{U;BplZ9QyFJo)RGzU+TtA;*8>E%GDFG=Y!(vNX@jV15r$Er&y|S{DWPw)>$D zb-SM6I`d=1BW~XqhxnV;K_2v;i99dGjw2p#e-!klI^Xk69kY=1?)gmgYcfp5`?KwP za5Ig|>)n|9o!%ZkuC(}`xZV9TbDs;G=daH!h0hlwx!+gQQMaDo?gj7(9uDsM7sdTe z-Eo$<^d@k>XP$CB49LEUxF}T&dT;U(-UmA5TuR*39L@Up2YkL)Dg&-=hjBcIW8rTf zJ{v}Q)qvk$+&exmbkQj>3B-fzLa%$2K)JLfsBz&!Zp`!ztJY2ftT9B z;B~L9dF8YGHE&MeU`34zXj6XNBovU@5N3S2p;_v z=jT^}c~P5}&Zd4{X09tceHyswUlsZEVixnfG$?^{#D?XYM|v55gZXb2pqJ@y!N=z2 zdxEO63-P$HYPjdS#6-kz-xue3DfKz_6ZLm#_}GuVz}>0ykrbzR!S{J@+CFfVIJ7JE zYpWJvpCNivKDvEW zC~?;#f_b6L;NFPM(Caw9H+nw*U8T77%C=*mPfp8Q#zo+^(hJ-NWDDL`WyQ7_uU@-m zES{Sm%khum^VFzU(c~iohJef0cQNnkM7QR|bwmr+tB>GvU-i!9r z`<+z(Cbiql7r|A)0n~{&$@e7{dJR6hP&%9=PQ}AtH+#tSQ0GZ+>euWQT;~NH=3S5c z6#KT<<1okhye+u-ss#2)BVTcxkNDiNZz|xt@Rm*m7qhlu|5u&YqJF&1-MD@#_2&9X zUyk$Nu08i#KOMLZD;GlXc=g_}|COAqf07;JbzAd;E1#@)&+=rhaYfZ19ow>+?KD%tSoyk2%nb`&+?9 zj=$=_C;J1Av(iw+DPM<-aI8U874|*Fu9(tQSFdROuPqBXE zO6Yax87qkEZyrJ~J}n1s+qW2yK=BlfL_9iuam=H4`7q))r&oj9iuZY3jk_);y%;?i z+*@7*`BXJZ&xg-les6N#Xz0!E9G1Ad*@*q;kK;ODeh~L7HSJ%-qo;ohZeFcIotRzm z;HG37a5sDP81k`Y0+`<%39jNY1`{{`Rt8sV_JNB<9oiBX8FRD#2>*U1&-9J(O~qb~ z{=8oupM&vgU3n#OalRS!`tSLufA6v2dC4;g-1_WfK7E59eC{3x_j)hpb+qn6dFt1m z&5rS!mj28qhczVb{%HX2Ei4SKPUWmc-0TSecQKc-Ka0FqYJx{~;d$IM197?mi9h?2 z{xg2BksX>L|EAP#oG;=5zZc8w4WPFrFY)@lati)B09Xg%3T+aK0IZ+ARyLw_7ag*mQkLz$NaBo7YFW|eUEi2e&XMkyaKJkb*X~G zd?}tq^)N5)xDU8Jac&54@sAJoA93zD@^4QUS_JmhK z4L&Mkhu-kmweZQBz&=GzfO{KW#S#}PBm1oT zhhtJk|;JWZQaD6m+mqtoBTEH z?*b`_SV!taiRFkVk-5lJo!4V>#TCS5F#mm4wTa|;3FrHsSu>scO__zdHP?R}LV8nh z3%Cm8{Z^eTj(xz?-VAO_m*##a7sfhuV-|6oZTBIcUcus+Uze*M^yb(waDAe(C4aX& z5A?cQIm9EXJQ;xa)9O=))&-Y^`}Ffo)vIQ!pm&XOCDV7gEvuzZ^H)RmcQ>H7e+43+ z+K*bIK~gzn4CJ4{n2^;4jAg{sZ}_dUwFpi?sTgHqRgY_78~1d^m#j?yBV; zOWdopjrA4walc(}qpqa>1zh&*!gS$G{8p^yjrraJ1!zFNldXKKNG)wO7f)AJ5;{4w2mUNR?Qy~z9#;IJzfK@bFf~2vvUOa&1i6&IGKGmcQnLB+1}t@%0h4*agW#a zS&-{QwX)!%-uvOiRf_}A>kM0&?`eng&Qv+cK6B24yP-YDkY3lg$o;R6uwuOkGCd5pS2I`r#E5!@Kw;8Uk|bWCl|24xz7tW zCB1u86m{#KmgW8G*Y*LvsoZYj{|Dn*2JyP{4M0A;GO2aN9Nr z>qT#zJC@qLmL)Q4`8BE+hW4uu##KF!=j(nsgFfAXAn3*LTF9sU^c?C$jpcLARcVd9$+=%+ z9hrvdQ4gv}3jDp}Y8m;+i5uYWUX+B7=YL@q_`vU(&mILX20y|%qW5Ltc-oHz*JFl` zAiWCXdKOXqUg>>Y7)0DF$LrJ^S&;o(7A-|w*DJ>L&@_t2JFO!BJt!h8;*_7YM?Kgh zbC!_aPUU^iEBhJp;2Kt*3;(YC{{hT*rBH9OS?2fzil^=z&QIwo@NvDbhJrUQ0)O$% zGS26LBHPHv^x--;S@`ecI&fiU=u7bZO8q?q`E>7n1`~HPf{+KZV-|e8`@f(LRnb{I zkLmAlJ$GI+pY(c8Rql7p8~BJd>(H+_$@{Zjk^&!5p?(x8C;?z@oIsZj##Uzmb{olZy{{qhcPi6T0 zTKg~jUD@*(ubooel8-J~09>tm2(G@{%Jnw!ANZJa*-$5Tn$I}WyY-KmPx+1avB8JS zQ@=7L2gap~#URi2*mmScG(7^nczDR8=Vj>VN%$Px8U5N&1@0ZbzL2q)Fa|y$e2&P`8NkJgoMFU8^^=^3*;kQg zFZX~r;!Z7qkNqx;>*2RLA>iS>zHH{^%->xIhR^ALx!?siKw+#e*M-k7HFY-6*Tl8oklrSJgkFcF{l0hn(FWq;=vdBAFaG`6Zsv1ARN{Tx zuIBwso;`_k%4N&XJ_Dw(fBZJQ*XYo+bu{S+#-+Pg!8($^&WFFey$y9JY8MNmamnS& zz(xFDyuM2KhZFY(uV>zb|L&;=)rlbPlK8#DEDyx`)vZ2<-oE8Ln-e#{O~l=Sq*qP& zy+&T;_Y~>hp%?u3dGJ?c_<_YXSc*{5!vF$A91Pp5vct^ilPFL514WWoEF@^6cH zyo7SdzZzD+&~x5V?pHMPP!ICvf*$0r)0Ku^|9TaA`|K>%seIE5Teg1tKo-v@qSx_ebT++b6M}(%yGUQ zZ%MD;Z)Bf49a%qUC+ftc^WpQQSW(QQNVgQf1E^h`PrI%$xXj;V5Pa_Q{aH8slkXe- zD&gKPZ$|lIt!eL%5nFhF?$XJJ^xnWa7_Yd_T-NP21U^6X1=rCR zSTDcBe0evfgUh;G(66aAc^>K2+KPNmEy{rLnt#(_KXFfnL$7Yl#QJhmrcFn`eHt;} zo&+vimcqWRt8tvB*d1PvUq_B6z3amF7BiODY3d(-hr?%h+I{Q+{~gmV>opkhB=f!9 znCbA*T_yy(z#HFDtt{eaW9&G zZ*e7ZgUg7IONpC+#_&;_`FBe_t2FK>vU&ixU6KpqwPWIuH?h7Mxa;2(-1%K9c@evY^ZcIM@+0(R1HfeqKCit?m8TH@zkmNbGhi$8@1COP z!ds|=Y`sR&-?iQR8dz7}q1HEvdxcjHO&}hd_IHIt4*R@VKOEY5AyD5e!uIN6Wmna!u#_#YjLl$O}+&eKQF;L zGTp0T-%v04_j!2j+Km}Y-18d^E_UpOzZtc!4{@<@ zIJnwh2l3mA3DpvauZscKL9gMjKTYaIT;@qmrsvG`QpmH6Y1Ev!cdr(>sK9^MRvXt2 hBkmFlfx7`||4*R8ILw!gEYJGWmC>(mQhsp4{{V~L;yM5T literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/15.npy b/MP_Data/pose1/13/15.npy new file mode 100644 index 0000000000000000000000000000000000000000..efbc434a2ce8bd9563b72baa9072d475edcd2bb3 GIT binary patch literal 13424 zcmeI2_g|Jb+s31HYt?FP-2}H)T-2=)M6G)dv?`$jE=0tExQL3PI1%@#sn*t2=Yv`o zanHI3;)42B(y>0>b!F3u*i{-LE(YJB7;L5Zy6LeA|#WK7#I{0lKHtx?Rxdn37>t^|Hx^}&p+GX{Z zk8raHsELyBwHr_bWE%1gT|&w4b>5fB?(?B7xZfPe zKpdjkblfi^uU&EN#(N<0rl+>K>h4#~$xjywd4c=$?!^5%p*7u~>jUEF`=T$P{bGL9 zmFcnKn!8`Vnu`8;=q<$0>nGuUrOh9%U2Hn?(p^o>ejDBWDxFPnpZS5Q7>67{?Yfxv zFOJLPd$ZhCB-O_KYW(C6?z8S$ZbP!;vp%hX_B&&7zhbM5}z5Ir2w>_(&f4i^QCnEE+Xk3-r zCojC`+NI|e+;6?8U9#`U@8gWiu3db1LG_>d1o!K`O(K#rIb(58Tsu2=jpnUv@f;%a zqbc}mscYAZzD>vdZR=6p9xjZy<;?5zUAt_?!TD~Rit$w0_yc@D@g)9>y5YFJT?2Y^ z?lR`vj(b4+%E*md}1EQdeu_?YU(BMkG-N1sn{ zdKMgnb*zid0#_-yN4Wc#Pb&1{@n@(rz5T>Yr?;msg0pAMu0S^>Wsc+W_0Qny{M`$V z%jj(};K>aUk9sSS2UFky`ZcN%IGeka=5>9=xlS*9NiToi46Yg$nBlk{>_hsY4=JAo z$H&3HYcm?JPvzUbuHOOUNI$wIIBy&cuF{_%eiqT1^qbFuv$&DavjuIyO}9R%6SjRy zl=J6)<-l39S~M@G?JCE`)2A4(zF!ZVoh!50adxpc>Oyu1M}G9(AGM3i=FJAZY4w8g z+x>5E<>pVlo$InGv8qj*Lo zgNwLctsFP`e}P_P%)>m|ufoHfzn%Pmcyt`N*?eMvw? zsv&$#LZQ{*4O76y;9QiS)GF9tRNzPWn0C8R|0;gaSm&=A|AT(jnW9ub+tzZG9gFLWE znlE{NF7{E$x?ZtsPHt6fXMdHw^m9t#8@pS%+7 zOZ?dY)Ti!oi+s+_#(u&*&S>W&KAQx+E^-=muI_G|0)DMFxZPTq>ZJUu(conh5Wo7~ zAJ09pVf+H$Odpd!g8T~LYj`e6Re+ka=tp#VNgK53=DF?2v3*^)O)Y!-Qvz(_W zKV4`aFxfY4bpCez3h1qO1FTb?Fn6BQ^K+-jXFveB82o^^38sF(X#{_nxTg#B_r`&n zd!FE;qj#v|s(*frSA}mu9z>8IxS5}o|0Q+dZ*N{lUD+9bLa+Ujp=W6k)18kPl?u*Q zGzHfl%duZ6Ih?r9oQuA$zbD&6oSqdwkMW99&yY{nqt$q{PumE+X>swA`^>&doCJNY zbCmxYttiiPAC7kIy3j&!bL)B{(0o=`^^AT1WL?f7xvC zUTcUKPX$-o-b{5|hHV75FFGO*`fVuIo&AmSqr&RYy4YDwLLW){hNwyNYl2EfId0d+ zkbk!#(Cfn420AV}(E2rp-%vf5`LNV+-excKD&sEV(O1G1e3n{pmT?YT3~qurMg9EP zA4I`qaQJQw)HveEGWJRdk~cMI{TLfNqom`lV}uSqnnS4C$zz08&6 z-@Yce9TbZ?m$?eS$F}(g{o0>8#6f>(C*m{%3PI2J6^?OSRM-kGHdg}Iza6LfZTu6s zD&7rTm79X~Xue$u&Nj>hmkoVL-=-`1U-<<6%I9UES1AKg4{SsZ%$H0qxYgI?vn-uY z^p1AmYU77Rh%<`Tmk9g<{=&Q0Nbnnp6i-M+;y$G@kNWH#ibpJk4-feqbtTWnf%B*Y zaGSp`=Ea`50xqhIC7w}>>Tt0q`A-U=eJSLtQLbN>bPn||4!;0b+bRurT(_0b%f|On zCwjnrIu8W@iSe4GHdrrq*x-r2PT!|0t-HaEu)ahA@80m=5ejaXx4#12)j7zg4xI#l zHm3mU#GEY@fquL6B>q;A{;TEK2Y6F2a1*G}ugpFM^``DKiZdU_dKVr0#K33gVD!tA z@?f90xq}9{{zbKih@Ut6gZBRmsnZbG!j|yiL+8+WVC0cN$7QK6Xdy zisFf$LOv_j)AMWlJaAQL9j&jYrI#gV`mi(Ws7`7RL7we5d1&7_{ssK?{I1}pmxyxy z_CyHrqfM7EOL}KKAW@pKGPS<-6Xf2i2q(d`wU}<#TJ} z@y?$=Yk)kM^Dz{^XATGNp7P|pMXvXxyXBxmZ?>ecWU*Xtn9W@EDj&c{AmhIn|fEy#np6W0^| zp(km)L$(sXpH|0l`IesVs%d}3Z_ZqcbpEEyE%JX@5P4QBUZBqH@JE!-n|~vIw(jy+ z=cB6E0_Tl4f$O&y6CAhRDd<QMFklk`y! zqM+~h5Q?YeBF$U82DG=IwnPm-XtAfAb)4EzS;hTwgXuc9Jw07LYSc*T-NpSniU#*ifx&5#Wob5Y9{MhbJj+WonaaqI`1K>L z(`|d_xqkJ~36zJ(S(q>G6^(rIe9OW0#j?=z9kmjnUwxPKJ-ldsy>ljjm!NY3@0Eo3 z<$pfM^Ig`Z{mL>=%!`_SYp#n&Z7vTV^(YYB433I*To3ylobB6Byn7P%H@2b#@?gV* zvF_w2Lw<645nPAj99t3Nm8VMgcign0^Odf;0d=mA-9enfQl0Q@JK%4N6{LM~&J2pD zZ3;N^Ntz0u94nD$9TSN0>hb&6px+|5NuQ7%^{;yticNO?{zC6NR#gXQwc@9N54!|C zD;^Fm>nr4$iF4pK7rpPON(s>Ol38^=uLF%&|1-w<*xvJ@H-!q2&jJQ+UQZ^@@`Hy$?>fsb6D8~IeP zU&lFrT`CNmCp@5ekIvcLabC4G@stn5*S+uN`WN}Bu0*eA=vM}&(fKF3G3Hkly9v(T zEX8w&Z_YX|9l8l0@$~~bKa5&M@ytv|e)ul`VArpzmko8!7Vbx!c3TnJw_}cxeseqG zq7wE=J|Y8L$I$l%CUPI9V9__f<{Te>zW+CFQwqm@tc`@quZPxk6_h^vI55JjJ&m*T`-KpB~m|r=N-dlOz zMHnv&xK+~Wb?|?XH}-T1t<(5Bk*;68DIfghyC#@NalSC(&}HpzyBciJrmSzim!|FQ84mjzgvj$ z%C*(kfH!IZy~w^0^)C+}!MxZB^u2^lPXaehkACa)YQ!n%^`>Ruoc&zO^(#UPV7xM@ zFZnPJU&r~lrr>%p{r+JNrqpv>e;Wuc!c%E~J`!Hnal5b!#d&-_;$$5!Z}H9KtR=nI z$j}zZzw){|&*|0MP2}&_7<%)c$5_9*z**wm?$NyDDo^v$k?L9Ua`2I}nyiG+<=>!J zt=~b<27O%NxG9*mzpaaaUN89(@1ZQ`KhVoIH7K4l>EAoOl<&xAS{w3Tbr_8%2_0`p>*crJ7P*1yFA*RED?Lj9;FC*z^d-wt}ti_myIsv&+J zeVg>>3SEXSs3*=9w(%b5_1+=q*Q^Xf{V4Mn`TP(}@r-Re#@#0umxYh)(*c~{PQd=a zzwZTZ)P2Mw+OgSAuglJX4{O>TdUdEi{N;so>bLN#D^4d`4#0WFzW)_muFMA?8 z?H-=g@0EAZ%c=KAJI==X)3|Dug`V#kjs1j;q~8tYJ3;aPk#oM&+w}#Y*R$Wz^Ce&n z^3S}wgENm<_?Ws4ah{RCfBDee$E*Gd&Zhpk4)JtKrg*lV0@r`mT?*alT;y}$U(~bp zpzqDZ%VCs%b(ISyPe-8j{8rjm#^P{fB88RNKVP!e&9#GKfN?W}&NH@-CMcY%M; zU>)gtHGgn=yNkH_sW!Me+hjHTzA-v#8%2b5OT}XAg6F9#6jq zt8Zw(HR+XTADFcTdim57{$hMNtW&jP8T|RAy~w8s2*CWBYmK4j-wg%liH$V;lZ#M1 z#i~-Bbm}+2ahtn0@uY?n=f`{lU7VugkKpE;LYLfUySIsUS96GdXR%3H-v{n2hkWXk znKUjhKg_!fZXV(EvUvme=uQJ@US9MY?YK%Shx$?Zf51FypI2MKd(49m`yv(NwR(>O=!23HZ{}Fmwat8eEr$^8)^M6P_F|ov#4D09o#p?*fV_O}^de{AO zjdNU^9nkAmdubjEWT37@Kvtc^c13=~yE+q-GxauXFZA}i)9^9lmQQkApUJAjT=s(V zm805IJauQFU;f8!%4enBc<?;SUXX&s5$0^^l8JEMNs%T@3fds`F#E)T|KQjgGhv-KvvGdtD`3yUS*hn^Q^ zPcfVy%<$*L$Hha>Oi}Ffa@Rd@d1xcJj*AI!@r(F7;P%Q`a4{}tFBd2KeGIs0xs~#K zVcue=*PGUXvo6sTkI%CajTtFX_AxUu zXe4~nra&*h+k|z^-}R3p{|VrxR99N>%LdJG+%_5oF52Y)H{WRZi$+7ic}4nun0J~R zi+Zd26R}&Y)Uq|_Oa{j8(72^5nJ%~q? z`qpt#s~@<1FaYa|k6TOMk5%~zTn{e~&UkJGAHQI5lh_Pg9=k;PmsD3O?=^ZZpWNUF zecm#tTk)|n;$$^CN#D$Vxd%PhbdzAzgDD?^e9Fj<&|A^rB6NK^(0Z|Ti3bK_y|8J! zv3_NL5At8}J=TS&`gwQPFE31a;}=F!K6TH0&QFDB?dJyo7SNMxB z{U$pf+q^Btt4bZDb^UVlaPT>F-jLHP;Caf+d&j|l+X;&2{SV;Ur~e}Glf&V|F4P0J z9_^#Rt4)NS9jlG~lRa39a{{{(Li&ul$fqg22z8>?&~uG%YJB=kRmqwD@_g3+_uQ@t9~qw% zb&I};Qy;xR@znmjtJ8}J+Rt^RFsj2zg@-tfjvssQAB-H(8&aQ=&r}#qYOu zfzz`?-qi1;w=^$Henr13g!X5%^$qzPxHZwmqe=}xJW4GhpP?yuFXN>zqF+;@1L~IL z{2BA8zPtpke|`t9w+F3tKHQ@r`c-Lt;lpRAZh(J1`7bK|+gnu|%vncS?S zb*Ezu@-Jp@!FfX#9zuEWctz{x%)5<_i~eItA8~^6@US83$4;YtTc{D(m&E*ocut8% zU!Y$R7Eg83Ma^+OW+km7x#9%IrPJGD9m(lg^IklO>TtZzM2ssc>wNX_IykQ}0{M|` zHX+kcU5|Ou+j03vI=DK}1M$egfjE!ZgYbEn!U(3~z5<23dFv|D;7f?%F1iN+2I>hZZF2$iI11L^*$zp4IQJ zJE#ZsY*a6&S9vQSetrHn>1!>GgkJWeaXnuHy?EC)$Z=VV-qY=wQOGmf6kXBzi2Dho zueOZVOXce5*S^_D;|gnO-Ti!5?SW3uKP;wk1#H5&q*bUZIU|OAj>S_vku_1z^6fX^ z{B1joSM*;W>-^a0aB$tQFXly!-;I4zzN6=|7`TP%q2wIx^tSkB=-KqH(Cf)Zs7@Ms z(S9JzFWK zKm6x?0B8N_|8s27l8u~R^=e4@^w>)Kq<%QmaS<2{uI^m}XGf0He5K3+xAV84ZcPi5 z==5f2P2@)v$bs?lud8A|(Wi$~K67UM{@y-)mecF6{lMk&vv`i^m7}IO&NAN9xXRrJ zH*o=Psb49?rcQXP6zKE)T?iRbPa2A?_o$tP|mI4d0)3ZL#35vLjT3B|c0 zY6tX}XuX)LDaf;mJ4xTeM0baed6yk^Xnwna^AF!Yi1K-w{vUvOuE)GsPx`%p9j5n6 z*}c_@WH+u!G+!(@8UA`y*X52Y52|x9xFG6~pHIg78qYen>+!@h|1Smptc5?t)0e)t z6e&J9pV*W1Uc=@V#CYw$^^rFjMEe;3${$=jTHD)=*Jh)0raBe^E~m!h`x%z470uVq z2+XhD`{fL$H-FQ5w;kzuEh?@A&usetzyE_75IIfwY0Xf_Jo!28!=-OyzcOnVQ{DS{g3IUcJ2}1n_!wOMIt%Mg ziIRv@Ud)MciSi%OFMIAg75?7$u@8zPUCIB##~8=Ok^Hm|7J7tr&1?S<;<#+m5uCj| zg?&TC4C|8YxOY0<+s&2!h~FFzqkZgDBsdS)1%D-)`#K-iFbv#2^+ufHQ5(Fk$xAE2 zSzh{{nQuFY_d&~VTypoBPL(Ln?{Wvbe(kv$;A(h5j7#?p9qqUo_Wq*Nt8KBApY>y+ U9p^vffSw&GihgaEW8;$l2l#!v2><{9 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/16.npy b/MP_Data/pose1/13/16.npy new file mode 100644 index 0000000000000000000000000000000000000000..cf9e5046947bd0e40d691cf06c120d84ece1e0f1 GIT binary patch literal 13424 zcmeI2_kWMq`^Qhs+MA*{RwLHOrdAGWk6Mjg$B0DiAT}pf5ZVNZ5#uJbMvWR(qsg&V zjUtH=)gz*6eU!9n`{sIG`3t_ke!uzU{kWg!b-&Jau5+DppZopJvMyhA?%L-A5h|wn z3=J4RB*dq&^l3V*kxzB$Gi*%Agpfg_2aX9D8bG|wppoMPGWhtQL1P0luB+5;(4bCr z-|BLP{NMiN7DCv8#nb#UK6O;oHTqP^_irZ`B-yzEW-w5xmGLi^s#_UctR{!I(e?%jT$LhbH5ZWmM2 z@8kZ!FW_Srg`S{x@621|*KW%8JGF~_OSzwa)H-UH?f8D1ead5Mw+-?`uag@d!u_)r zJtFQRe3R%?F8<=bxc=?LHELJE*Kw_uG{$|N$?^}i>*6~uP`iFt`Ziswu`hAI_pl85 zSFJZZrFK^+1^2lI+5aM)3y6D;&lR&ce}#%U+#hr!5j<`T{OtK`e!xy97tA+dZ?b&bXT6DRvC4ugH_G1m``cKCF`qnzMd--P`AudZ7_n}X7;^{s5 zbVCnhQ5m1==B3|oUzbIHHP5)VF^SxNuA|)k*SuTQE`B_kLhY)0HIDy&%d9HnTE{m< zy?Dbfr{aG9B)OW(4b|C9G_P`u{&h7H8MQRToz+WZva zYIzOl)ul_AZw(KrX_ttb*d{ZH%j%yZ9#td&d9dmk_glU(xa+zWT>tC$HS}3B^>4lhmxX;75_fN! z@py}*vd_AA;l#b%Ey3m0@|b_`r!0$zo8UI!UiR_KkI!CA+^%U4ZjPP?*Xh-v7ycc= ztzR$HiR#sF3iQ1sxGK{S^WydSbv=0Q$2{Iz&3V4k^Q=I>ef)Vn6`qXz*!s6Tzl?rG z)py9VSMfFHx%}wzq<4+ag6jh%Fu&&OH4TWX>M`J^P9<<#_lJ(~>Cl1aEATh?h-;yt z#MSsJh{x?d1#X*m{+zfgu@!o`a5d&p24^2h{-Vci?zd$m^TI0wh^tDW;O<)s?)pV) z;^t%zaP#IB^N_K1$Y1p+3oe!pMx0*$>|w-R%|)D_5*@Lw%!9>^$wxG53%!>*p5s4R zZyM=kNW_2qJf7VHt{R1N-KHFX-sA}e*K0pP9okiq>~qS3i?uuEBmPHM!A18ZaQova z)Q>E%7hLsz4sK>1olSZ#tQ)vZJ&Af#SDN*O&!%VWU+!>Mejn;n+U<{eO(c7lVb?e$Q>&r(F8N`dnh}#DN$>tS!~M=42rkzqft#M3ADOQ? z`=l=JL3-V28teTkgWKQ}!-(7X92l=i`Vn~$P4f-`-^}^DZw0WMdrTLOM=BlEJqGq3n|9&x#HEAy7UkOy(UIj_4O!wi_nF|CgDpzg-MmZCDvZT=)GUlYhW@F6CAcH{Torx3&M^ct%e_9!zb=`WIKg z?dBGU)BVZMO>^TIxQaiy06uRs_l*)``TTI}^i<+9p7r|5RgP!UCd`*Al_$+Fqg^zd z&hdW~i|3BKo9SPt8n}1w73$n1u-+^CH^;g5a5(v^&O9y~SO9vFC4Lrh_jniLmwi8B z|6eQey3^l)ixoYX7k)4YaVD+h@rFdO&-86!#Jyg;Z@5Fb(XZH-A9|H72=!od7eGEu zi!!_YGW4=*=J{k=4{+V-Sq%AzJF)P$cT2GU^^^(Vqn0t>$8jpZZ!wRqzJ8 zQarlvm(Yuc53#>_6*lpCrdArpYsU59_43%)V7zN8@;a*03hPU)nt^>ld^HH%tLKmP zV&9)fUAelm;qP|mN1eE`FVL?l#CaCo+OR$@JN5yum=E;wofhj(Odd?DI*`7vwK{6-B@5wL?7O``QDE zyYrdvKPP7Mcn_&y;@-~v(7WDSFfJEc1$ovX#}KDD@hivwVpAmbYuxY5A8;Pro9Q!& z%R0Q?z1>Z?J}VwrPyTw#Ao$C_*CI~S_!#nI$25bFzFiyfn4v*C$j3b#1-%$hp5t6y zY7F_d*6gzy28Fs@V>3m+cnf_X?d|OFrJ{3EXe&O4O}=H8z^`wo?eW z+*N_kZ;e*-IrhX<^y|(EpyT2jFKkO6aL5A8|MA6u2FI5L~oNYC&A(m=1q6Ab|I=+WzCoUr)FRe-T)c^PIQp zGScgskDxc7JVX5I%CpJvxl;#RSJ}zq`fE-Uac}nx?)P7Q?=`_)RuUJ2&z~-4HueFt zV^Mel>EC|I&yl0|;bVd?OoYDOQ~1bwafsj5ywQ%hYf+N>O`XZ(?bS>Z*RdRr{W1vL zd%0~S^aXZdT=tp|xcsRa&eeKAULKcvhI4|>{-i7E?e{m)uX%eJT!l4jk&wYvyPe>= z?^ST~=+kz@?Ipu{|M%=Op?rPv@d5%k{swh8o+T#+5jWMFBOW<=7xdoR-@b)@JHL;p z?%SX@9S?AwBv(d$WZUeR7qR(7B=xJC@;u6x%Xq$Kj>L0ZS6YQ}*&jYZU734DmyzBJ z;PZeCs|&qbku!?8$#awS2M!`0nYI(pYkB)3k1Jaxo|p6yUsIfBOJ(R~{lVZ~m8)}z zdk61>yH@ewA}~smzx<#yeAJkce6A=I{0-^F%9_xddNnX!mn&}ocz=Gs7Ke6oo&U54 zajMD#IS*g$;eN-r3m|{5?_&6fA=jC=e>|6b?CCW;@AZN)Ui*1c9Q^HX-0x+9`u7Tt zn@c`6>KeHAsS2)NJeyD49lio?eMf-Hh?mH-&H5|*{d5n|zGo_Y1R~&u?CCP-^VnmaU)%C2 z@*@iP1R|ci@3`OT$9dlGJy}CsspHHqcjx#oy@)0*i=>0wlycx^#)o)b*uTQT#quAq z|LcWIQ9rhIU(}DO!gcHN{E2+J+TFqJe1ZBgTMl7fy!x-;epQ_#{6kv z#Bcn=wI9XVn&-uqh`_p2jeOxFqx_-Q%~nJ2CUmJpKBCNCPOrS2xcQFXFLak#(3_aN9&y>J8IQMg81H+*Wrm~Q zgOMK-=J9yP^oS#_wzq_jm$(jf?oGcx5&E37z(th=aJl-` zKFrsHZSWN;JKnDaT2*O7OS;N>pr*A1Enz47gg{Cg2c@SO4*Z)5)^eD2jdj>V9VNay!!8Tx?d zab_`|m$46^S3ml)&v0Ly-&6|gP3^4AAKzUApC&QfZ??%i?^CAZJ=9eAhkY*A2e(CU zt|Pr!@RH-%(v5wZT|qoDk>6j;?tvJum=cEf4tbv67vzXJ;HLPjR_J#ozrVX7>%d)y zIlLdeK;x^}Ynh|3@W`-~R^m=3I_M(&_GfaIR1T53s(#C?40qhzam1_z+x{ z4B&Akb(l=tJueL(ozNLv`K`qM;1%q}@g&?vJfg_!#qg;a0Uw*I7whxSfWL0{2wd+- zPl7Jy8uDqqA6Org8$NdFkfGFWmzQDxg8X}vNy#&bxRi?HImO?zsf{zRpV)uG!PSTS zUZbzSi9$co`N7TO7reiXpB_wH&+iWIP2u(Kir2?^#`+cegWAPw{(Vr~zPW|2-SQ*Q z+pQ-Mr~A0ZD&nR^c5t2dJ=Up>IoTtDc&jlOm-+k-_GdA_X%zT(!JLOL=V5;{E%Kv2 zZHe!|)!f(6+vvu;KWDoF?zO53z3p**2Kk76%h^BgOmJ8A!94I>oKG)2jQI?UeM!CK z-(A&DS+Nh>W|NSA9oZH>w*M8ZJ3Yr|1AO{s^2CPV>WjJ?5r5tY&fA@7JdZv5&-0^r zS}o!@e~U!jim{tUkX~Qh1@87tg^wv$4f}xjZU^&nmDxYp2YHaAR>9x4=jXL)Pzm#^ z3-j+Iruul~S^e=J5Aj^&`E~vk5sx>v=P=^3l|TE8t^=+&TnVB$ZSVEq;@=$n-f_5% zN8Ie^-(|e+4tmi)elGdAbqhGo&Mh(TGOvgA>y`WzKC=8U%d)LC@Z%TB+{-CqoW8P;D zxDCqQ7x5Pu#p6nj$9k9B`c4B^d!V<2tlZI)^x|zO>znU~zZw>?g7mV-R&X_CD)c5_^aSEAmFvpPSOBiZ9x=rAzQNGz zhOz8Fq0@Zm(|BK1JwC-gCf~QlIYeHY1HJ9Gnb-9VALPOHpTWFuCvb7N7{)7~P5^iD z@8GXze;STB{~ZZ#=AH%jI# z(q|d`#gP_Ypx@0&+;8A2?pK%5#MQz6;O_EBtS{GRFV>g6vx$9{^Lw!!R>6?oJIDF= zhPH)X>`sQ>EI$UlDSwTh%byHrL3&x1pO0>&590LZl+k|VGmh7hel?8iVPgpP6P?zc z*UN#nmq}-Gjz|6L0=0Qv936o5V)AvKj`k{<{^eILXIEa%NW9fy3He>XND zu7CXuajLHQu)cJ|fn4W#n9HI3eXn_RD2(*pbmn%6y+r-FuV#)VE(*2cI8!TJC2l6y z3dd*bQ{WQLdkk@zI-2u&uMxP{fAu8dF5fiPkF1XUQwPQ@AujR`fnJ%)s0Z~^I`>;{$U5>-Gq=Luv?~K2?^3Qv`1c&ayjcji zEKzngaXTm{xR-4T_nUraJouBth{ucT!usXwhk*yo<$U^o1n%A*uR~nEC<$(JE6qH1es}PQr89P8-bm zX&M0^_3Q!i=JN1!O7*{oepSV7%gM)lRG0hxJe}v|hi|yw1-x%~*I&a&mq-=CihrbRzog418v<%W+QojPswfQ%nNI|Fz}3 zi5T>2cl{ekTm;=`pR@}Yua5iNBOjAq7~Fl!-=E0uOQPO%J$_z`^SLoEX3@)O&=-9Q zf4kx+;&(^twj_U5Fh9nn?nWZd-p#GZk4xcw&pUGh@w@OMd@j1k=Wx5#kH^)u^9u5p zla?YL`{pK|7vku*>xp}>xz6pe!idMoJ(G#6Q@rkE{#@Yd>C&mhb=4_|Q%%ms@xRWF z`L*?ahQF?##Lw}0TUL?Y9*=_FjmrH0yX7?|5jQUmG2h>Y^R_7w>&|rklk?EKCfCo~ ze9-GD#W~L@4Z&5GH#6Z=q#n2m=J#&n8$6e|+{pWb>|TlIJ#fcP#8dS@9H%@BAD8v< zeBxe?Gw4?w&&AK3GT~tf8C<>Mb!YaTK>kJNoqXQ7!{;1Aon}+H*i&>AirOn$vj6@jl_KEK^1b4UboMJdH2r#gL+We&u%B~#!lk= z#BlsF>TA@G+t?0V51E90$=e%=c*LrYIG)Q3xE^K%W4|>=8o^&4ILhOCQ;L5K4BN?p%7k^zy}J_G!rPDW>2i4WGbNa8Wk|@#r(5UqV0RFV^Sk#c^IM*`K)Akk_?6 zm56!NGh!?FWpH=zBIn@%e?Oor7UBKvLR0wI+sUYB@8rojO`N9uS$9|ry}!^Iy}E)|H3}3-tjq892<;%$)vnrLOyo+Cf1L*1|Rp~ zYCOl~&s`CZd*jRV(t8!wk-YN&dY$(+>cJ#@(2smvtIE)ey*HtEF(=1TJZ{eb9#^l8 zTtBCMH2BrbeYJEb)`cunp+5O|KD_^U=T`7~DKupk^tt)mDEqWVeX31nB(}y~f`k>N4F?&z{HUDAA?^#%n9=oJ0P0${6Uqkj(S{mxZwpix+u# zedXGQc)E2{40etm!CeQ&>RPI__fCAfIL9bAPKP^8ye>+?L0V(zU88ckf? z*WhmAW$5ja>xQ@~zlimz{JoQWaA+C0=KQFkZ+IOoDT@8XjNts6(hmR>Zl0E%0{=mo=jVe-tbe*Zgt!~P=P~BX#RG|pS^PdO@4f=JKabc8eV2{g@BEv{vp9DpB7uC4bq6;=IZ=nA)X!LV;&33i z8nhF7^~XA%m!@5~-+2B%939 zi`i8aTn#7;e`i|2#}2Cpu1_`K^GRwy?)Tq<7?+HSM&3jR-pAa>ZNN>xsr~)P|7t__ zdBeYl>W;H<4%CfXV_xLe(WooixYR<@tLy#1&EOWiUsYQRp3(IGfBy$F;4bjFQ0H5C zhw8)qH|Kcze{c7ezwdM3bxkEMzS=q}A>+gPUFUsp+fCl*tAFcHT;{F_?sja(zU^H} z?@HX1nTvWAiB0&qQ#CR_`FXw{KrgP>h2A|Xi2cV#^Z(0==$Nq1AKMXGS212iD9K=4Ra`W$( z>Nx*@qwQS>`Za>@yE|&a*eaSqySTTX(uhlUT?GZVU=Zx>e2Gg}`?XJ+L`kuef kkqc*5C%ygQBDkyCna8!Onj&uYy#Y6I{QvoGjct?gKV%EdIRF3v literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/17.npy b/MP_Data/pose1/13/17.npy new file mode 100644 index 0000000000000000000000000000000000000000..71bda7563192d5a2c905728fe64739c69b708500 GIT binary patch literal 13424 zcmeI3_kWH_)W%0$eVet)VyxbKbQ!EJdX18?f`}j_B3d#cf)FiA)E&Jpu|y|hS*(pE z5jD!_y|-N!Z{|Ar3*KMf*DufK`ObA;bLPyMbKlSNL~Q$RULAX7Vj*mNS>J&{14fmt z&&xI(RJUv;UUtxkQNg475BC`{%6FjSE&2xp4NT`je*FUnroS&&-NU0srSg^dME<}1 zmy0nb+kAc7GyPTnH18r_d!D z@01%Yi?ZsmNA}C8u5!E(=o2a?KC$oe$AL)zI@=WQ!(A( zBU@HDit7)5M1J+)?AP76{x}cgZ1c@dywyjdoP>kro0XDAcm$e-Q(9&xK_FH+%iDHwis{exGyp2gF3n~x$6n>7sAi!B|` zxpC90GV*3Tf5rUfUUTbw#HY5nUad>O_2NijTF0r^6#uF7XWaE{qD8#A?!61RE;bhP z8?OV1U*x6hbrW+RcCYgI%uVikb1pH$y*DKyF)y!m7~?vs{}$-0Z<~qN;HtP@ zeLMLh^i}@YkeGg*m@=m_-j@%-^>WB^jLY78_c|^+d6adpI`R2E_bO)X&Me$(a>!Np zo{hiwym9)A>7I(~^%Ij>xc3i_qmFo$npfO7t5SjH&)h7F8)r{XT!Vl62DjX})^xpC z(gfqOln2ID(R}CNU-A{|-_&}7aen_=WMcYtywjV}lSdsXtA?QY!s z{rMTjOL-vAYC<8zt*1So=f-WHqExTX?p}8B@XtF}!nZ+jaJg@4n&U$LMEY^bbk4&b z(m69;OPyW@6@Z@iZ4MuC;NB|7?e3i5_EX>`=VPj_hQEAykIvhh;n;V3<-}a4R|ES| zA1EG2{K413xbEb6=w~e`HhQ zk1JsR*!2z2%UvzNrT+wQU8KTH`0Q#8ZZ{@_o0Mee)w?#NFXV&s$@%P1#Iud|MI83P zzL*Mce*yP@jP;7fjfn@9Uxaub_oVa8#v(tq-+k?w9zXN=ggo2)|52Xh!tzcpe>w@y z-W8<%UDLKcc+-X8CZII+-?*EtosYWOhW4w(bvnOkJ|T|F_2p<^${h#ivtPAyT(90p z`eRG5k0S4f0OxP6-=KLt=YXqM(Ssbft3trlCqw+VA^jZ}&AWn&xgWqy`Gb|5zhuS1 zWuPzO)FU%ba$IenPWkci!Z}ri_hY^4aZBj=?9mkG{cp!Ry%^LFd1D7!z=w@!xeET? z=fQQqZ@|rn%jhrW%14?v+hNqdxqW+VV!98@`wsJ(jYUx>rceAl$JLYU*k3(v4>+qA zg}OBx_dw5%jUauqs;EP=doJZO_&B)o-Vo({guO`mxHNDZml*B1t+^9iw*E*yZTCe$ z@7)<(e1D4SFm-=V$N8xj;JV{0#4qbF!8uipZjnBFZ*X?`0M0cFev3SaBeY-q%pXlX zT|5KGUyuAqb&{HYg7a4chLg{oxA3uz5@H=U`F+8;|0>Gcl;3b3MX4Uhr@HWn;(5LC z2l%|d1ig{5=qIx1Y3(>aGy!`3?hMuW^>ULPXSOmpk1R;_^Jdj(_&kZB{Vmxp)iYft z1K!VfulC0P_^TTEsII2Bz&Js6VJ|Cs0?G--Vu4I08Mdl5d*R+thR5CQg8} zd6m#_#hd`*f6htqbh>Ppe};dbBwBCEJLJ>&|1;5z3$u>mxsrO;y_a$SD5sal{(@eG zc0xXNn}AR^&b{Y>%dHP6o-xH^9cRNnBYrt=JnC8BNt)|?Sgs^+HhKp*f3qS6{;x9n z|E)XVEX(^Tj@y?TC~w1hBF}b)ADufpit=;5G39w{Y3cO3JM|6KtPSP4Sno05ehPX% zyBKj+&=2$WN&q)wGr^w+ep>9fxU(Oei6@9hwFy8TSmhfuum5F=|4|*pDGuen?U{a^ zns$PCU?TQKZlJy)>=@h^^vmqyoWDuPMf&kK5RdZcfIh%`laJgt1)TGCxbN5u&YILB zy;*}gHy!i9N3Qx0^NN{6rea+UcOy=b^gZ;pO}lXLeevMt4Amj;^K_Eq?DaZuU9S)M zZ`_UZsOzr)m)l~AZyE=^Dba=e=YENKZSMTgo7kbK2cGZ^?bpgm@t!U($;A+-i0J~Z z9(;-W9nZ5IKB^(7IOAspBhI+_#J#J6n_zG3qd0Vx=8afM{(DNGuK2+z;QZ_oaGmT; z^)u@%>BmOUyjSZ(FPawzH(v}#U(zviF|WOGit2ywN8(@i4|MV9vwg|G`xEMKZIW=l zOvSrcFZ1qr)~!*t4$e$xnC+{qpcUMCoOyJk9k zM58gdf63`FBaCzuYf5+Kf>H}=d zI;_jo8i_oMGe;1oU3wPri%xsyxOw#@OL^PY7;a_GvpY!8A4nK z*YI?le>)NW;@U98&!fKza`W2!*D~__1Mf4`QTTF*)0_S;;G=V| zq5UmXy@lg8su1RtEyBU&^`bt|zovLtv>)Z+!{?!ni@3bJD=nL$NI(%-9n^%R? zbDAi>h|WdVaP(E}5r=iLs%5FJ{;Lw}^xD^gD^Cy7kNXby7nyVgT+iE$czDeZxL@nQ zGn9vtWoRFNx<1>*DW}r+S+<8SaqrHNh(Gu~eB=NF&gQi4>*f_vMJW&ABXI6`|LAp2 zZwgnXczi2ky*#Xguj7_$a2~x4bfaow9O-;yQF{JYuWNv-*}q0PZZfBmzF9DxmyLTV z&mZXf0haAJxY(8ky()SLdNH*t)@#|uvCfBAjs@543qr3ed>Z4pw$%5`?2PB1w#A@V zUj{)hvrwG2<3Vt9k?LGF+IZD7{d(241wMC}9d(gsIiwHm@6E#F-MDD8faYD5hx$f| zGgIBXCczKfL_Wm6n;c&W$L+c1;Jiy#?2E`&v4``Ke=j9{5Iw)CgSYVV69yuln;)Uq`Y__u7Yd?p^J+)HRh~}Z zd>BWcwEPwEti`}(Ts7P;l;2dE*Lx58zdo}K^`mb0M4wUNRJXjshfu7yMJI5xC=1ok zi7T`(%l?HA@BR(A?vwHPF026g&nZaz`@=GvYc;Ss@rf~XzbM`c{`_cna5nT8=*`BK z&km*MlP%prdAq+Fde*T1DCFUDPSR&>MfcU8h zzi(1pndmxz*H9fZkMIyUKC#>@oDbc3rCH z_R)TcZe2I&zNu@K#6H>vdlA13Ta7qH?q^t+W}!=+o9Rzw62(L;5PLb_Lnv84K7ZH zfy<-0M`GTJ^!)%Ubpo8Fc{O+3yvhT;2|Go7Z}+Roo^IZ81CdYbxf<&=8-8BxxcJl* zdVNKs&P~AO(T`n5_5l~CE#lPrX$8l{q^^jQKh=m+^vxCTna*u|B=kzQNB(8}S=^`O zv5nxoXcOq!!8+%Ms5@((~UklYjd!i0`HT z#utwT7mZirbExd{n&JtmO+G1~Rv`Yn{}4aaiG1RpBOcSS3(ecu2kTWUPW!oasm7zh z`OFA#Id@qL=fkc}BfaNx+Q*MC=-e&ohWxXTo|Lz%A%V_^_oDtReydCR_xFZ7Zv84y z|0zJfFR=oZmpFgz^V1zS&a!W#`f0N>+PzoB==)pcQIO*A+mzy8c@=t{k~0;)X?^ir z!Orc0zfR8hK0LxJ*p2JR$KZ0)U|Ls^uRvJl5j z$EFm|U&TmYya)OTkDCt8_Xxzv27Z`}_#fs07ZX0BznM`t@f@XEb|wFTQSedi%Hny( z6#V`!=J!efm+$XyaPQfqL(tnGI=`Y*^~KOF%SJvs8R}Mk*P?5p)88L~^{SYA=+D-_ z`CRZ;Ln#maqS4<(yZoq6dtwVXAN3h}y}cPdcbz&5E^F4HK3V3d6Q=E^?G=t(?Fqis9N`nBWmo?)l&PU_m!>=_#AFzBY#pziZ z+)V32c}Q6de^z7vCFg5zmBaqBGj*XCn@571)MncGEB~*d*H`FwO&-u|u;bRF7r3ZY z8*$3zIsBZTys-*gHOhg{9U`{5c3c&12!HkV8m((eUgXo%iUzky&8Qwq)WZ2S-Rr@} z&hV%F*Xc3Z`RLX^qJHGBE3l91$EVZ}i_IqgvDYZi1uJ8{tjZ8@zPmWiFF)LKwu@i& zXB6kUnegX#;zl6OZTFxzfzxQ-x3j$+=Pd)F*IymRc~@QN_XWA-H=6g&A_9a9!azd`yj)NshCm)8y0dQZnM0cLaH0Rj1LsWiKM1EP+1v zu{Md&n_G=2&lg(^f`5aJq#sq9<}LPaj`NeH{{UwdmtbD8``;Cgv)q9+@3*b6UU4K4 z^~2U{a5=ssxLnr-&*9?DAK>CoA8@m2FV2gsKbd$5hCGW_P4WC-kGul6g=dk!Pt}1~ z-|x4`zw=h|U%#i1i(h?l16hJ|CI4P zVa#-JHXw%h$X&|mW%~i-(^r%K!q!oan2r#d}9 zJ&}C+cLV3KN3rjG>}YWA@ddb=dI$b&`Y__NQfS`zGm(h@BlQ!}Wi7ZZ^GD(iFY;L&M|rDRtEBK?5Os5cRG1YAwLg#IS$ylLw6CYk!G99f>?+_4wWUFQ03 z=vnk&)Po+k0Qt0`UZ`{NqD6{l`t|H!f83{3-CD#K_r-b9ZC{Lcd*;i6?ho2wtAfsZFd0ZUVi=I4;IaBz?bX)IS$b zkAZ$W)j2y{m-3lu-PlAIPYV5Ai<#UWdE=)#F9QEJ6Y9YXenK2eBAeU~4<2Z?665T`!pg?doKwl8yfn}hnE4a*eibXzz@=W&73Ji z^%g6BNpx|3qWcBAR|7sa@0~H=6^g*$>ZS0}UUhzRKC*6aif4K%;*tBac7fhwAFZqV z2;`I9J2}*G73PaP*ax#Io-=olH`8Gj>7U=lyvFg4r&c>|7d?d!Pnm}Lx80(w#8IO1n( z=h1V~n{KqO=S^r`H6|~@`c}*VmnCoDe!=3e{^B^BLUnF8jivlW{+};Wp9$Nz*y(k}Sm^nP2;@O!|0@Lk^A8ZO+ZLRS z?|^g1?mPe&$7_O{B8#9mc?-hdE^P!ZVisUtv9dPtwBF!+W7A0IFTAr*-h9g;9`#fxYS4?_r=YhN&PE}gc9c)mI1k--eu+Ie4}73= zTC5@NBeL`&_^aJjkY_tC8|A-dUz&FpBgJ@wdGO9~rQHgyXVZM~bID{cf&zy~8=ur>EcldRL|`48tB;{<&htowFLQ34Mm>$y0RW_UY#}&X<>PlP-hmU$q-yez}7o(n4tyUE0xb|4DPRbSu z|LP;a#dLc9SHo)4eZOOFoG<;~uXKLZ1Py(Mtuyq z9hVz2zBfp!M|s}SYK7yX%pmC1E_#kqpMI``cuFRKvn|Qg_nPKt2A_ie5%<~(u0Qmx z>-4H(U98sz5f@pu4Rc(~8vw4eohNcG>8Jve?M;+?M5AgiMM-HZVe*YDEeey8&g}wG7{Tli^9F^p=%=wu9v|nrt-ADAw zp-bWaMMj+`)8CoMFJI#Gn#iB=93Gw@^{JCR;BP&ez+bMfMRi-f8$F+VqR%yI@Yj^j zd~L?Mb@8s$$IQd#;3iwv-j1vF^qeXE==V^4b3}lPhh1rbeX&P_(3j+w@25Gv{kk8x zjBieTuky6%j{pC^|Dze$K+pFkb>=Ns2WG{sF!%S~taLb?|F`savbHp6H=Rstr&ui&_MlcTko4O!=)~E*hgKhh1F!;b-wxVH`8n4`#syD5Al7aao+jhAF4P#-@2209_50+4n5$Ln9f!2j`&_c z-pGbL+a;ZvI=%Vj>RG(5zl;3veo_6MUKBb7&iakQygDus`yzh+hxAqGcLcjs86K z827H1I!xm#GWGgH$1#7eS+U#XqvqvKq;c_MYW#L3kiYl+bd1aK`)}d;Ej(@;y!@T6 z^QN?gkDl`e{_?;F)Yrshx(naB^D!=F*f{vN;p=6W(JyfQ{m*$l)@7 z@hf;e(CbgU=B{_0#_jx9crU6J!gX$y_#5NL{m)?hsJKV(WtM!Xo7dqh&hJLwmozRr z-o|z6@B_ZSXnZp1#j%H|pLlQ#d3*Ms%f#)8k??cn&b_AV?YQlH{kJ=ihrBo**ULJ! zu3&syF4Rp8{E6fHf9J?YX0C?o&B>qm`d>5i_0eyTzsSAwJg#4I3i;YrN!RE)vw9KY z+i@$Azy6M|_gdMfH0}*L^alRN3U8$A-I7-mab3O195=VcxcWS46LE1h*DUCBSH|^H zPWk}-oQ>-f==yUpmGHjda9nSe#$jAE8ormfH+W=Oj4w-iLa%Pqp0qOM)m96-1D>(Q zOP`eY-ssD?Uca(wWy*Wg;T!akxOwt6#&cFcd{eJcIvSUUmL<~lI(X*;8kdHzS1}EE zy!kTt%ah?(Xxw&w&Hdl*1&Tv!eS90AWU(6=GuETosWH<8x7pB2KjSuwh*Qem>_jXgE|JZ=}m~vQO zu{8+m?V9n>i}5YM?aI#BpKi;mk%(K}WBLcI(Xna$!iT=oSp8Fr_EP~6`B)yq^lF!lB z1+cz$T9Jmtb!05KH?uVJ)noj~$3AZXZucg_M?P9K9Q@yMye>zNf!n}#&4`!{Dw>!R$l zxd-RDJ6=;3| zzXk8*xbno_qsE9>p zxibKI{p17JEv&~lZ20pFFLvL?gu&lLe5cs(E|_^nGR_fAvFi-1kJp z%mu!r-_sxd@>5Qpm)|DrM>Q-D$L+s`eY`f`l8+t9&kc6#cc`bnmQVw651)p=9AA~| zeDpl-M>cFJ`xI?}edJnn?^o%>Q!*{Z$oes z{v)4PvHihaqd6CSNw>dDFX#h!zV=n}W#Zz)*m3kK%ddl87rSza-g^VrPawTGcMA2f zQQxDUHe-d6G_L=PVP5ztucJLUkGRS63HiH&W6{s%#M&70vGY!Wd!K#;7iT)mBJTO} z`R~j_?*G?&qKND7Hn7j3V6Jn{0PHW%4gr^U>!O~nc4!yUyZ+O_#h9kxcHu?zkMoOU zy(kPWKYiJo^z!~s;5t4n`&W3ggt*E0Gq^ha4Efl)Wi)Xy*@1h*Z-ASG7n8wjeuncw zzdOeIW<#(po-dyprp<7E-u!FWXwti8e4iC96S*JO3Y-JxA#?A_MCLm_VjcAj=H@o{ zr}slgex5j*8h71495=qiRPy(F>_(n;Y+kOz>C+L!P4YJ8Z7Z^W@FuLU^jph(Ob2kU z(-7=Ovt$|b#JS+6eRb$<0-qape|E%`@lSDHxjKEhANJ-zJwox9=|89M7xh>aF;&Q<-*3XTG zkGp2j4_>+1;HJ?I)Xg>fVrfE(UfFes>mH3joz1T`=fS^RUiho4UBKm)Q+&?k4CQ%s zm;$cSCiy}C>@>LC(ujQ)?ru;1dIq2WCgeWy(Uq<#;-X+PuG`s3T!$V@`VsfKr0$o- z>oG4kXf5ij{10=U^)DiSQ8jih#Z_k=xEkaGy$A~(Ph5Y>z~{jEdgwQk_Sg#YSBJVG zt}L4~ug>n{_}R+79jEqiVcEKIX;8vE*;+ z*5ta4n}K{(kId*pb#fBNJ=C1_e)AR~pCz+7|2<3bxyPluw-s@-`9g1sw19C5|rrRZA||I0%58OrN5xg?(7RKgKMTs0lX^?aHJ^|6&p zt|l(_6yf}%t|sFB-zAsPtG+lCdO7Mn?mO~m0P`lA=hbW({AHI_199Eq)N?Yq9sI?@ zRea8zuEqI3Da(C$EyMT(iu=aE-%F~GI-Bo$FCZURc`@>lL-wN%IzzEw;_|oOz;$ve zFEzOaaZ_m={6%tKtZ{*`K#64LJ+{A4I zx0#;D5SMFjBCe@42HdsXyqLHsxsT(Xh`0pb68&%v$orkqho0{<=#{-R68c|W!bilf z#=PXUq78_9_X@yAKZyi)BNlfiu9{T`mo>t`y?T55LSJ(`=A}QBW!_=M4C1ot=d5q{ znxDJE|HS7AIq43^U4EILA8!8IB7yWpwt=haH^BAdGycTQ+6mygMjH5=3V|8PU)1Qu zKIf`4pI#s5lK4s@9~rn6J}%ua>qxH)jAZ|u{z4?(aI? zdF12uFU{)`_BqZI*|;?P&4wP}Ci9BP$iL}Rj(Z@1*L~f~4is0Z!tgQU2Vmc+Su@v? z-gK4Y>Mz2m0L0@c{Qh>4l&U>dRg5_v%mWM*g<^49@4-O>kT6 zViftf;N`sT)BADVR^C~KxIgoJb=6F~f4_Lf&ky5LKkrPh0`6vpO(B0dmha1A@(|`5 z!ck`z&EF5`tVehsU7riR-SG?Z5nl&jzOGS$(d45`&I6Z?^Fc3tBSsQ8ZX)Z4^Yf4T zZ^bC$qG&kt8yPw7&wlJvocEnrvF?s9=_dSv=K+(wHtOtc>4f=;UVmYqn%xW8Cqs7B zQ^ls?`>zP&d@eu3y33@ZjVZ3m*@U@o2CR#iI3%QB#8XoO#N9YgHMp^L>ACeIzaS z?U~Y87v=Y!{pfJW}L<6`8Rdp?{#ViE>|pL zeQ;bc(yPupQ8&9{74&*_yKt(5uvs{6R8y>@yS-rqaXou3^k&7cyuKOl)J5C|FQC_z zhH(F{3qzi2b6;>*u_*2%dONZfsz5aFi{s%Fz&oFT-mTloeUfd(O5&p3 zbLd@(THr2gnLY_ASbfjWnfBXKSVvvwBA-k7S0hhRDT(J*XW$Q{cl~%DdC{d%PcNY6 z0^(jcKQHOzNY)oAWQg0gKI{`P0sU$H#^U)(?t6lKbaQ{^x0i80h&XU_v>mwaxMei* zoY4tf?vDibwtW~v+;p$R`W45)WksJ>#N~r*;NBmnvA>khIG3x==oWc)F~Zuh+5{^VeV2 z2Y*oq+zd$FM@iSeAue}z23NE0Ay1R8A-Mi35P9l}%XnS#z1l``MUK?ZHB(!2KleDv z_m@r^+5e}8(5t1-uz&5E)X&#d_O6Yy~&-P{e#}e zfv1Uuzg{{TT*c3vN!;Cj!*QS01Q%7GEhnx5d0*?K0C1W44)T!;`16Y^tN4E8zqq$A z#ho-9K5o$@=40>Sc|cW|4(>%P2Nx9vVV`hDXHzFtasiZA>g(RI4QHtx4KOQY$%8`T1O8BzfGn`{-ip3`qbZ%=2s zOgi&t6FgU#xV_Mud4o9r{a;{Tt7gx^T|ghsXY<{Wbe*bS1U}}=@4@Bgy>ULs0m0zv zpGVx!=dR8~K7(h%M}Oq`$_0N8Mf~D_GGG7p3cdHbHNodN=g;|g$3KUUu$#KmxE)=L z{YQUbeVR@qi0kAA;IdjVj+>)~z2!Rp6$ozX zO@WU)_1PT6&6V#ly~>X}!R>;3>*>8a^9%boStT0ho6fao265SKGuJ2j6ZE$4Q+}@Szm&?W@_Cp$|9H~d zYzx6v%ZcD7PjnRGhVBNpWuw5=iI+I9OxuDy-ynW|unAZC`I67rrqIiFmyy4Us1i>; zrWbR&rZ%6G4SiP<_u9{bj~%D6E~;SmDDqJ`W^kU(`FCMiqHBNnG}+F1t{n>>v$GP; z0aa-$xXW0EfxjyGGtLJW(~8%(Gygtfe@Xp)XSlC{f8Jc2Pf%IpW7CG? ze&Kd=f7(p7z|F>7*uVO-m8@Tt@e<{2H2YCtUZohX~Y`U5`TqFxECi-}why>49wan<(gbIDINJ_0T#EkRt}^3rm|Im-J; zbZLh9+Ww8uKi0><-*xckIt0F&iaf_11sDHy0hj;&IgYsLFbQ1l6sWUmSrE?;qR4A- z`)~&I-j0{OD6UEWfO)aa;Np022l5dk9k_Wm4qSb=IT-qok>FmL-KeuSH+B)}-Odf* z^6Lopi90luxUMms{Wr`6cUjtL;_72}aB+VHxSjtTeP|N74^4m%&N1bCZy4#l-aIee zb`zej+_d4SgDf&0K5kwBxSAL`o%A+w82i6W53Z+9pMrdn`!kO_&v|YgJ(;-c#OI0E zYZd1+vV1u7U3q=I&HVhPF3rOIPLw(WA02TWdXsQ)H0fpOo1D)O{+wmoE<^sd%3E-I zv@7&h(AKA%$aSqt1nLB-Hz6(#XepM{|Roo|k@;B?Ru>YnwaPRevPQ<-e z{C$Fq9f)s(_7cHUpPBp#=UAf}eFKT;ra9g?y_KV$K zax9JOg?#^&fj?kh$oP=<6xTbP41f1{7}n7nRw5H|yN!SUl?Ae6f7zJae1GZA+za)G zzsWpvB77qFoL7Z@#=iDWcftDFuKc_qHk85r)Jw=R75S7uhCJPe72xV%P%Lp(YB0}t zVI6SU>n+Yh_hKB+cVCsOq;uCoXTc|t>nzTHi+XwwPM}Y0p7}hllWkD9l+Ia{kaC^y zNrQfHiOKLcF~gRVk8QP){e$>n^F)5xA6z^g27ghi@I>fqWCm9~#)9joyM_|? zo*h73v&bJ@mixCSc*iJk{epj|mLsN>Aui7p1h@63As<^?;`bnXBn$HNy0k(+s4j=% zNbkDxxhEc_KIe=HnnzsJOTDl8m*f5%P<};13RVT?!e8#F4j)UpcdllnjPVzFWuNk-29my+{_K(b0Fl&D&oq#fWM5N%J-Kv zCE=rb@;(yjn>$>8?0O`<>h#rlzIPj={yO>l*aV83_aL|zzlihyGAHg|Ueq7(Hv=wW zzOrQ-Lq4)w9&i!<7uR9D!*h$B`;_ZYCp-7ays_BV>QfT99DD@%+g-D(QCzY5bDnRn z1*o(0zl-{avZ?=97WNzR*VFT(pJieY$8FyL+!i^yi1M)$=Ww1y9PSt1AK8(oZu1Mr z9i5l^qp< zclkur!RTQlh>M}Tztlf1z*U`0*mv&G@0`!~)xqVHAn3jO`BU?+5AL$JM_kqW8*neY z6Sz21W-|Hff@!&Kx%s(5Ze70>c`m5J`qF2iH+}a{Auda&*0X&!+;?=vfC&jH+)YT` zcMFel{VVLk^MhiJh*EcGm&hkVf)L;5^W`3IM@BV!~hvM2Y zeE)KnVt5@t)R4s0PoJQ-3*Pbl%Qwwt;@*i-sE>E-G}oc^oiW5^%jR6SyrcLW>wXLO zDYq^!e9Ww9_{&qhX2bsu?<3cS=Oxm##y)Z}{5itQ%KvvH+SZ6jNbxs4R%jXZdR8!TkN3ZAon!YJmEjtHp?`6b# znS2d#U+_$Q_{*qk=x0-~_+k7;UwIve{xzQTru8#$^Qa&1)75Vpz&~#( zaPhnvuWyr*3rR2M@^hy8t;Y@0c^S*255=vO(0lQ>xeq%P8c2FQxDD6ged_Pg$#)}h z-505GH{3^`t8{r#XE~!J*K^8Utd}`eDxCD!2K z%2P31hnxJnwusKJ5%(~k1ENAx^rvZ-IgIpTU@X_6^LEV3zM6x+a>)@KH|q@KBTMB( zKf5+f!F5b4uG^M~$>c9*4Fs3d`T5@)xf183_&Y1k2XFiqCt-^R>W74J)2bnl1!)h`#ZUZzD&Jhxjt1zcBHjJlbK z+lv!YoNJu6dOFCFhY8GZ@p zuq%4D3F*zPe>v{eZQ!CwLRHe+3$-v`ZxeIv`@TPMSFi`TdvcY1mc(Ga?3@|k!tw7@ zBIBm{q}Qer>SK0%!ah=WOW`~*k%QT1+H7!J^~6l*6MeyThV$UgFK`m#PU1YhJCE6? z@)g{VoaXO^)bG4ct?#$ohf(}ICN})U`rsS=$j3X>4fFNt%>kE(|L93vbuEcJ?N=Yc zMg9>xp|`wWY{VVZ*@a%7kwALCK=`PtnbC*Z_c5M-yobHH{*AZsx_q~V*QIA`aQBA) z569cxJdS+i8D1~%Z0dbvTe}~Kivrx|wq|a=k1RgMpVy}GbGUn!7u?J5!Qaf`|ML{* zz5&;N`r!G*pOWU&LuM`aT@9Ea^COqbz^Xm95$W!|Ns3Tt-#@T+#e(O_f>mlbR_*Btm!ol=bdWI z-*b!H7Y0*b*~QnvP1_fI&X;}{O5EHm0j|qEz`1RjAL>b5=AX%Z{2>D8ytp>DEA&&d zu+Lfk-orIrh4Wd2wE(w10et_BFBRoWK0$NYKWaDMe}jHk#OT}gXhq&t0xf!Gvam-C%Z}tiN4WEB)bN-xTC-CPrb1QBv^f_81fBQRsUut~EvX<-Ylm$S1l5pR;a0`_Gv(n7CdW0Y literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/19.npy b/MP_Data/pose1/13/19.npy new file mode 100644 index 0000000000000000000000000000000000000000..2fce02889a9eb4f834708697d2000f2239f4cdf2 GIT binary patch literal 13424 zcmeI2_kWMq8~;zys@W>F)oE>|YHv9WgcJ+v5!`)f zv1+ndjhCD7vbElD}Qy_d z*uwfSwVT*?sIQul{sy(XLkrOE3I@)gcGsM*7k`aPrgoDhFYB)~+ehuX^X^Buu0pZ% z`0P6VF@5UzTNlv&{w=;c^CgetluUn9yExcA0qxHodiw6#?Y-z+-IsSV}?Y`$# zTxaJ$#;0zw^(E=e>ZhomXcmUNP2uEo#N~e>H|f(4Z}k^lZ~ofG*Z=!7^6)>-!S%j< z{qxi=S3W`AmDq~-QZz$8s?(dZ%icO ztF{%NQM+2U6W5zZ2mhpYvGVu}`gA|LP1No?9G`^mGr|zp?m3Efv3K4U;`-P7;q+;< zSH$(MefT^2E;2RU7@zW?Dg~E@ZolC=o?nZ07ngeTjiX z|J(eh@ZVn%b=Dzyke97+Wj?h#TY%@w;m4QBU(MUPg19JG5Zw9jE5v30qR`tMr?E~% z@-wV6+oj1e(%T_9Ss&F5KGG(wBrbIZaC>;vCGs)tE&S!PyYNwo!!hnIFmWE~_1lh^ zPoioJxGMN}FkL6BpNHO;&U1mjyMrfYlHS%z;Cxy(K2Kc#dVMx=8Ecs*JvdEVRoFOz zxYAXTk9gOc$0yw*#1-wTf&1H*$2F$R9MZd{tT&Onn9t2I9sW~malc9>gPT6*T1RmE%SulP+e<15yoMS$H8uU7@3Akwyg!O3$_8Lk4`a=n> ztJK1{h=4mW#6`Yj?ysm1Zm;HCOx#szjd>w@hN3>^r<*o_d?vr+{qkiR9>>mQz9qeC zaU9&1mf&Xdt(xHZBAA~o1+La~ZbUwALSr7UF?TUuazld=#C^%)$j9wW;PG8vs|j)Y zY8~`yyu~=mxUvJt-%j-4WaesdpxQjXpt~#5p#Lc{x;QnzM_P?Kmb?S!{ z09WDtxnBpwM2f4n&pYWu ziFvDw&P{ie;79dyxcD4kKVHX+Jlpb z%cxfDzb}F3+q|H5$VWa0SKHq5KJaEf)~PYKz-7bk;I7{utZQ42_ZxR565}G`6KV&f z_^Z+_*(WhA*1No1W-R&J9D~7a<#+JW57sUquA_Q@yA|ufeTntF50q((anYCl;2qx!Vnxqy`G zWuv5p^r^=6oQo1$1RBF9PgzgvUr zyeMfC`RldI*k@S-tW%Y9{9N*JD~^M!13h^CuD`&%TQAlp)`yP>R;@_yM~-Lyq!hRh zj_nD)Ivx7!UdE#ia>no7iJKd#_0L%k{yuRn=9S5J8+u#d1oS$l%rw%gS!da2Z6k2I z@_X#JzIGpQ{UGX00OfHyAPD+1$9P@*n+AIKY~eU+w|}mJUMPQ-zN>7_CX!y}Iu5ke>TZ|*GO;`VCR zzr4-!|F_puh`X?j;A&MTuK&?GSa*8FFmN%eCh934&C;Ydv8nq;a3HuH%KNbUbQ1Kw za{=a~NA)JXoVFWWcFX{O6Y(Sxaj(RIo4pS?p8_Kdalig1xccuRxM*GpdHP>6VSjKH zkAnLTcVb-3KtAUSJr?%`UHic(f&U0oN=J~tfekxa82X}4O!bfKP5cA3eO$E2f(d<91 z1ka!7bL`)LD!9sC2zrr&pC9yuVc3_%EsMA&FoD<6)pWe?)gLgJ@{xnPaNLW}!Ofmc zyuPX>rS`WI){DImIf43XXMM>&*_xcA@2=RWw&Y`0bpbbve&F@ewGgkbk(1$XuI0i! zQLTz2uKDVJ;C?utmsHGX>;t}1QE-)iGsj)5dA?~*=nTbJQJYmY@~;(F9)od4hk;4151!O))$hF%8D zg^!y!4)-seIGgjl^AqZ(lCms~Pw|mg)}U^3+CS;lLa4J(;QinI_9yr2N+s+MZeT;?qmNGKJQwHgNBO9% zeE-#Bw{X9jj76Qrn*%()qp$LO==1Yj%G25F;BHVu==JC>{F$rCZ; zZ-4EIxHfq;^3>lYqduZR4fvR-TF6Jmg>E4qvups@ZBa3BxiuT+gPzIH?P@;XmsR1! z5b~G5RN!&Z3y_ZsI){98pHTStj4hDAh@ZKb^ln%<=U;Lyo}cB9Z?{rh(XQ~2F?R_*za2ekiMzlt+}~H3 zQ6EvX)@tJVSbo;O^H}dPU70B2_RwI~@B5JR8M}sgor#>!_LcB=`?C&$e?msoU&M5T zznijhQGAMzyjdA~^Q1KD;Ka?b#Qm;luEP(FxXxqNFNDuei#VTU2M|~F3FrVGbOhZ0 zo65UCuMQr}_jh%80P^>j^9GZ@>Ub6Y@Fy^LvXX0`^=OfP#WIkw2Kk$89&@Y{?9Jo%Z5DuS%nYhlS zUgDgfPpoZ9+-$poxUTF4aFu+qemuqfdo$Hm&jQ5ijMc6;QH;>n}&7qXPPPz|n`y2sR+5c`wacz-&+^;vIc-`$-vKIQT z-$3u$@VJPWE8U6P^L!sSt9N6bs|SDJK4^n^o~S?f!e1Ay+?D+O_o=*blF zF-w>8e6BqL{gq+QR}uFaZgAYlOql=nx1yosqt5dAUze>2?ppJ6kiE?JWz}~CxIDgu z=k1F`_{ciP!FA!aVdNvy#&bTW+VTBy%iU4L?aGDVdVNmlMag2|I$#RtQzL6F$Q_b=x_v8I&FMv>mTa zC4c!a_52_A6yt7R-KYbeyFUBZ&xm=b@0M*#aa_?TaC_(t;@WEI5m%n8j<~kYQ*giH z9OjAmdI|Ju<6Zc>PcGy9;38Lmn}=^vA6+TAJH=Ja-+{aI$C0Ohm<#*1n0=6a0^9L? z$XFQrq;1R3mG)g>aQCh}-!Ja*`O24y$NulDY{C3-lR97>sh@b>%EWskDXt&c5?r47 z2=hm7-Z6r>*!za#*8Ch?#ZBRJSKeIUqHaDO-w9c}QGIkj-ha%{`B-KH|TEr1xciYXLe4XC9`vqW$BFRIe2Ukj-VePRw0R}; z#gn0TyQ;HK*reX^l+RPc{d!h{@8c)-BY(MzpTA7nSLl~~-Der;wdHfE2rbF=O#Wse zaW^paxoKBe>ismYCGOAEV1G9S^HWbb))#TF-a$U9dK>2Z^6@-*70G$d?+C8Oq#X^P z(DvZ+LKwI$RdEP>LizUrJ2MenuHVprxTul|dVlIX@AG$FOb#Gkw;Spsrfo)l)tTO_ zi0eJIp%;_a^Zc)Lb~tgDV?4O2ehgf``nC&ko8u_^FW3aG6F<%spTb4S4Ct?1&%a;E z#s5|&u2eN}(WEH*R1YXi+?TktqWY(Sp!NS4?D(hmrO-d<~k z`kM_7_ZNL&1GpaA2zv1*3F}vEJIVeZ^K**2ATchk!UOjCyexb~!D>+yR~%uzzmSpr zcfVRr-1S-vy{k2z$NgFeoWIJ#-`YQ5qw_1X$$vx0t z@pJRu)Gx7<_hIwjG;q0lawGCF)u%ykH?9J=1tr$0O=yMstNfk8z3)AkeB6;r;BuK_ z9~V22xQZ=-{l}j@!}Txl%~JB$h3noydl7JR*iX#jX`D|K*V7NWh4ZJ`o)ug@64=Mwnpp$jlfD)6 zT)f^@fj6^}*Wz4v>C-mf$^K8Tucz-i`WN>E?q+Yre=i| zq}S1@?-5?q2Ua%a}#-7LbFUEANA{W_~^_Ln788Gw*I7-!CS#?+<5r- z`jxQ{s4|x-Ru*~A{{(tBw>a{# zFI(Y$VJh(a^gmPqSNUWwU<@YkO#BJzJo*G=wz-b(JcYTbz z4vE3@nzWVSW5)O5aXHg)IQjUYMKFI{u4s&-`0p|AhpT46M^#Bef9-^<=&!BR8{BRy zg!QY}eU0aL`Su<2;OX$!;~OEaDRl>2Y?=bD*1c{|ab>%K$VY#51nXTFm_G*j?Bn;I z`t1RZyEGf-mHufve9Yz6=&xQlb9_A2VFT|EqVg&Ds3#{T64!?lpqGE8{1Qvw)0{*; z;(Qq5ii9hur+B&q>(0&jh4Z{wkNJR$z2Lue9qT_&9j}&2bIDHx9_IWjEk|5Y{9-h5 zQ-s%%U)=!xwYxRukH`}Pf8V@0^XiSJk-vU(2weT!5nTRx6zfHtnh35pr{y~5l{i0` z+Rs>Dcqa5B0O5r;NI;+o%P2ti%GAt zt_K&ZSg(t%8wUOf&nx?I27K(lKO5qDR5$2V>u7LYx>gu*Q7jzX^{$6=njSnHJ|;&f zxNIJab*)>>nF^n&6d0)7_kBr$!@*n}Mgm^+kS9q)YZ0LtJgR1a5!jxF)d*o)^RyFWJ9X z7pxb3^H?zH#g=kdN4k1n>;o!!>W={_*i}5vK6@72*%xgw~E)-%vInjsRX#6`z}yg>_*|75Sdx+P1Ga&l3FpULX3Z2ytHP-Y_uTN*bI$(e^TE^bdw-wIzt8xi-^RqJ=tazI_}k5uc>WK}$oKJH`Qb0_@cU5J zulx?=bG1G6V*5p|&-?6H7oznZ&hwuksHZs+-VgroyP*#9=Q$V`wc)q9azHWl`uFJMw6ra-WkH&+Goso#^zY52> z!rpxVAKT#!`fEBgw(#qk9bC?N0xoVk%r`ah9{aq{%JU>!Bdlwa_ypV>IE?&tQg=mh z-KDHNzHJtu&f=#{sE^ru5_%nY3i-QTpG=~-s&{+tS3*5-wLf+-c&CNnPTax$!tZ?_ zLtJKwgO9tDljq6WHzUDk%?DRsWC1sOZjL5yw~Yc9VIPCreBWVwUE&G&`*oL4XSr&A zB&iec4kSSDVr>|4mGmp(%3GOn-|++c zPK+mg+Bx9rpJTlLwAzRBh9BOC^_Smao|qdi@jh3b;q$6V`WAH-t-o4K{{DU!#8p}D zg3C0=d0+aH&rvpX5yne4H46HYoWF?Y-_uO}N1KStw|uUU>r(SSb9M}I{Ves|UWE5C zk?RKTQ}#Na^KFee@b{}*;TH8d1^Aqr2feAh6kHD)hPXC&>c0A0Am*o8c@Fz(%J0(1$1nI1{qosYVqU4b6WOOt zIP$TR4&eMCZ#3pSpS0lqUTGFed71C z^c3{V#4ktPOx=4+;z_?_CAg}>@0az>=JSY)9Q?eaTPx^wjeuzA+XS&s=L(oVI#16s z6jufO$b85-?8AEfKMhE4D!c*L7h-vTo+!(bUIbP`{&F63HThV7;$}-%aQE;J=-oD#P{c^PcY)kMm(akxvFeZ@bL~*CW=1BW~3I<}DM!UEyyg z!+#^^=~kuwuJ~rbDB`jWKZnYgOVEo3X@(+hE9@E31$aDD!Hgu1EStQXw^xxdRI+f#p4?aG{g^8s9+ zu&4bgAHAbK#zpKJg7H-)6Q_}0^zI0*dN<&4FZ=y;aBBPifB(-_K(*!f7GBM}Me{(9 za0dS`J|GDDohjQZ3G<^yj-m0?euLlF>d*N9&2`)9U5U%0uQ31YxKr4-UB{m7h`Zx` z!R6S2eBVjxcpv{ayMWifjSGNYFZyL3;&lEJasA_3yl>}T!}E68K+Y%F^1dB4h3{W4 zI3E?$o%yBc0E%lqT!Hy5)7(Z}aoOR#BsWI$ykFiAdLKS(CdJj6`1fBGoS)Zw>oW51mF`h-_#6MI z8~I2*4SJa-E&NrcYDI|K>!tC#fKU4&?x&(p^C04C-+{CADcmE}N9E9^<5RxMc|S7W a6wGzFUb`uATk<-%kL7*LOe)wa{{H~2JMP~A literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/2.npy b/MP_Data/pose1/13/2.npy new file mode 100644 index 0000000000000000000000000000000000000000..1ed9527b14d4b2f7ec77ac4fcc81e16e4ba89bb5 GIT binary patch literal 13424 zcmeI2_kT}U{KrpI)Jj#Y8s(Tlh!tw*P{gj-tDH2%tdSTY#z6={j1XIoz4t0bt{SPd z)QG(fir7kx7VS6h*V|w4{q_6x%YA&F=XGD_ectDN&OP@^Ld$k7T6OwJ3=`3QJ$gol zMflZ}ezn7^`<0V^;R7RvM1&6LJ}{z3PvVV2`$zUn=aIcb2lY(W?70-oA5@t}3Aa&7}0JJpJEO`mJkZzC%}2@cZ+)7HaLN-Sy;lFMltz z+rSBEmvJFz7rj2*|MW++t8A;#?gY2H&fG4y9lA}vw&FCjtJm9ZkiU%Oc6+k{+U2ty zXt#AXq1{{X!N2o~TXerZe*^9M=7;;2aJ%R!?^3%N-j&C9vCJv**Wujm4ani$rmv)ufUDAj4Z$}_L{rD={#dkxlP`lmD?fR*^Pxr}E zjgV)v<MP!`V9-S0L~yOVss=sn;u+JArlgs%Gb)+B0|cS9c0 zZ&jnzCA!)yo8TwXzPUv0W^FR=Q)lMkJ`-^6FX+6Csno9jxP^FB@aL(-<;O?wq5adQ zFR0xVzX(5Dtud~q>d;rzt|B^Kpmv$ChR3sV@G0;-ix9u`et1dkUWxsD|LFqgUxw7d z{a(rYm#JO-Hx2!n@t052{rdPDuD#$X(#%#N3&lfik;)BXD7wlw;! zK0bYxt|oRP;?WOJAbxe`XTCqzW$1L|b&OyAnQaB#uNJ&1X3*7~>&^XS+W4M++X25UOQLJ1Hx=l&mv|WW%gn!_UEB&;PTX~kDM44YGdJ$H zf8Ov>^gDISHR7gD=Vx`(ul7LJoA~|ofsac6tqZM19joOB&r!Q-Qk(Dh>GLtQt6Be{ zUTo;Cn`n>!1oz9D1JG^*PhTKETlDeo)UJKLMxJ${oEhkT<5f&Re_f9~#{D<$^ZiLx z(5@R_IGmKOlQ&x4r*^lf1LyT{R>ZA`c21ynb)q4-X?fx@`Kf>QA}_jl18^^O$QAUn zaqw)?o8-5cUo-F=ud}zc77^D$3VM6MpMBo^v7ETqAP`(V>BRMYXg2)i@La4vqcKiB zq{}S$pNzpec0uF8#b1jC2T@#OK4zaVALP|}9pXqYzI@O1_EDvCq|+(IrxW+SIu9R_8bX5p)>az+!c9HYre<0+*;;hbRy4dlfpAe?_5XLH{8T|yBdIg&7*I@&Av2n z8Ma|E^ogP1(x)uuR~Ft4y)N66`LI#UuY83#MgLyl?)({WGa;47^(>tE?Qd@c(RlWa zLHzPI?>}ODVa$u?Wwg|<`R8-im-FNK8XYmWb1pJ~t*Po!isP*}q~i*0~LS*cSdX2C%>BhB(!%sZpeNM-8v1 z4He*{b8KBkToiuG-2KgY%U5hFaj#%e9&e@1sDIh=&?xfv`h0 z0=I)UfU907XApPOFLInux-;+Fjq5P;R&bePFSsc=2KA;^zXsR$PJ)Yiou-kGDtrc9 zWciczD`R4a>v7*R@BcIEP4DT4e5%p~5Ra*O5%HU9>#s_JeIGV8kGLi?unU0SCM5t;&J2Ou)b*w@@&f21vd>AV7xA=ULbsa2?AHG6!K|1 zkLnEG>@NImcrng%f!piJU-e9a-Ye;kb*gf|#r%pFkHKxT=HTw@>a*bUY8<%iR~tTF z=kDJTSCtlki#{d5&CCS@h?|oYFrrQd()-h2F4d&h0k1G#G2=4w=~CK{qIUJeIq1Di zKjHaq^Nld1w;f(UuOcgR{VdKpjPxRUFSt%SiGEGTh}p#D&qXlrM)&7B|Fl2qM6`d1 zIPL3|;BrD0tRt26XK*+6BDh+865~=OPJ)}v4Uh-%i-g`}m;o*eR7F1BtRuY<=i*iD z^HF`y|Jsmf;$HqGtiPF?`Mj!wh`UNx!Nr4nT+ekv782JxE`fU~HxZ9rQE@zcmj4H? zQh5E!%I78#S9{80yk5uw9@nm1{2aMf6kNm&!E?bZ+kt(?#`=M~77p>~pEpc}|7T^G zKbin;%5K1ONBzOv1XTie88bsK^ZT>@J*E5kl6(0 z%X1U91W~`)`P`zf)&aNk1M$4`?(Kz-4F3ZDwo!*D>etlV2JVa>$N920=FxdR7_TWE z&-E}nY8Ld#>!8;dyz^=UZ>w0C2Z*GVAN{`;AKb7WkM5;aoWNuyq_G^$g{{8FpKD+d9L$6Zf{(K)<&3Ssw3@a$&^v zhyff=*idlu+VqFdKF9iB6M4KBA0f}`>}|wpDjeYb;n>>vpmZPQ{|U!=p&0b;-}q?a z;!ruR&##N2-b`g5Oa5|9Ece@DI^uM{{(yC4KMjSy7f=lGh<=wgl8?!r2)(Gs=Qo+j z5BrrY84a#`-$gtsDPRowi-@j>$FoCtUIsM9er|iLXP@9o(7XBfu##d=qhJ1ruvn=arud)?;e&Z9kxiMu2G z+&8BZ;cwfv4I?g2Rz&`_Ul8(dzrL54l#Xrwu87|y`n zGl}{YcOv008s39mzV90e|HfZHuaC?{{IY6fb>gmGJ?0@1;HvDCF3@-G!v5cMWj^;} zU+{M4c^<=j!Oeliam1yl2E8kD6Z7Rp-EK@=_+?`M)Pvw+@QLP0=~zcy;Cz-o1a7)? zZ$n)5Uk9#oq=9=iZ}=1UqCf1P*$bjyFZ@j>@^{O6ARe2vnDsMzts$oddOo4t<575I8BqVO@PUcs zqhG!P_c8~7i&F}D(7FF){$e2OuZ7^e@|6s%;25m*2&4mr%>San3`0UDr_~p(1Jg(6<5T}=q>&L`r#dAb;xrDlv%m0Os zH)smtQ7@yTDSrC{e^+tI*?7DUvkV~a*8j)zTdyPPQ_anX=Zkopo8uW-5c4jcN8ov? zYjB)8Y$WvJpZ%lYQ=Y#gYG4)`Hu}oIHZ&v3nx+E3eBmj8{M0w4Au<*b92|*)-I-EVLtnxLURXTx{p{ z;&NPWOI*L_=e|i!VEv%v`bp{B#Z}<(&g}s1O$=y6+)N7vSMGDxXG^R>Tm;8}i~6Y? zXZapgh}*&uh*J)aN1S4J8@xB^ln?JUnQL%8f7uA@PG92hMeZMe9+&rbBI0@W9R8-( zNz980Xn=W92R=hRyG5VD$Nf5D3G~faFUO>DJ+EpAZu|0nV)BGT?`<5*-)UnC!bg-X z#PN*v|ABnG_8;E&U)5y(Yl(Tpb?Z@_hxM&7UVV2&@1S(<0zW)wFAoJ5%TG0cPlfH! z>!vf9HytsQxLG|4^P+tfxH=WqpL|TA?mS=X_<3hKo$mv_yDj20g?>W*#oN>cAfGZ)+=V`W*;Klkf}_^bRrosA=i~FXNXr}r zUF%%%mz4%0PCLB`)~Vh9HMnWh8QeR3W<2Tbh0);Y-&YWiX|R31zdD-U-(4`oc$5XpQ_R8w|Zl{)pGh*jgOV%s$|5b187QB`Ah` zRN+nFdRPd@Kfh-J{Lhr&en-CN{r1%moC95nRg;K$7?HJ|* z??=Huuo~x~at`dn+P7lAAkse?0KIAR6R)G5?ovgTu$87-pS(~Iqe+X zFLU0XOjjGZjpK=*fx1<!?yL9?Ca0YR7hS&uH%I4TKUd-V;I9*p zV}Fn_Whaoox%wUS_FMk$;oUE4$zS)b1-(o5Lp=Jox{@%t^=ta*;{GQutJGkliHP^}PPlixDZg^Yv`6>c=wqK1KMqK<^ z1@+?{-OKZ6OKv0Xo#pv5U!LWBUOA5O%7fG4uO@$v^{Y09AU}FiA^3Y)6X36M%^!q* zFMJH{E=~tG{Wf2Uj${3K_}d$MIL~dC^11ZEbslfM7ChekMMfm0 z`?yti!1atH@DX}9*V~1E!Og{+r^(kVQ55@zxv>TP+My3PpY4zHx~umXdbeJId-V&q zA%E|WlRU13YUtO!Nt=y0C*KE`$=lJd+BMOF`|&ywk##U$p?1uK&(b9L%m12y%akb? zmpOJD+;04q^D}lE;`ieC|DW9#FOdfoni1z8`#1;s)#c}~&+_`=)URG4z{UF=;9iO7 zF4V6Q@44R_6TtPVtQ|F+CfV*Jcf7Igmp~Pi%elF;p-LYQu@V620f7}S`$oS8|KHz5E z-4T?o_io&Sk5_&P$J4DO*Oht!F7xpBc^%%R8~pQeK82s==i`p2{2jj4FC0&JQE=Jq z)>!Dv#InytJ`Z@|8BlLJEsc5QE7;#`$c)b^9*Qet#Hm|0ME%&-SK0qkDA!x< z$JkF~bQJV%LZ>ryznV8Tfv)1K?%*JOlDOTzoa66Nm-o+|-{HHE ztv?ld;S-2_x|Z#SCy~$iz3h|x;r{_MW|~LbQ$Uz~38R8QfdY zWft`-|DM75`D8q}`J+t?aj#{0jwhJ8ThnSdahH?#4bQI)>tC1YPh6MZ$nliP5AL3q zXbzvt{C5j#dNjuCy?e|1`3*nB>6Z6IJ;*lMmy+Jr`VeQ9BFKYmUUm*~5#RlTKc8<^ z-UdG;rDN~HE^yN~fa}U98`isCT@C(TcmD3=E#JN!KG(;yemMU z{ZNPA%$|6!F$bq054z~CJX$W`QT zo`s-a`!|<_bY)$famrBE5*V=&jGL3Hj0H2}!yf!6{ zAbzoD1bkf8KJXEFz6Q6Q2F)YAx0%MGO+mmMDQemJ}<^s-JExY+h?65>xPhP-*h zn)AN5A!Q5vf9$~dS$Bc;Z~I^$^L+1fJjFBPx#R6?I4+6eH(dYvA3iUs$uqJ4t0G*_ zdeKwVi3sV9=ZNUDf&Cv<`U?+7f(LQ#~=ObJaO>X(Jk7c-{AJ2b)Rm3Bu%3Ku_)hq!i~Jn71ro=SkMTdqaTfaU98W1Wp13=C99*<7i1n*R zvnhII_*E^KSqI@n24^# zZ5CcHE>kzw`)BI}pL%sLUbT(?p3?1^SvM$MFCRYyH>Y{OayAp53oa}i{`%Sp)U&R3 zi{sqTpU2gjzt4F6CWVuaPT==7Ie0trZ`=Dt5qF(#LGSqw_ujRD-uM>B{E7xEu@CD}OPP=E zh<(Y50n^FHtvdkjg0I2H`ga;k+>YY?L2co`H&9iMj3s~dHao|8>lW8TmR0TGGlBD| zGv2{`>9`()Nv}8Z`@Sx;33?aQt0!?gSaJMf6t9b>@p*{LCY!-U?bYBqE-%)v&du*5 zvPdJ;r`V7M^&qqJ{$q2m!?@h$YnT^tCXszg&Otn4d9HZ!7m<8k@~(tnymEEM7~-xV zKi9;)-k2Bt_WgL`UR?3JxX<@6;xSEMSo$ri9D~1{tf9B1GowztcJ-jQtE%w1^oxS{ z4j^Ouv)(ob7hRX(oFFF5M*h|Hya8dlt5b%X@;5xqpH@RNnz1yYn`<*vE3H_RP4d%kXX;aQmYl-oC z#ol8-5!vU$N7P?}^`+`YVBb@|J;80tW#<2`ok%`1wkWvz@iDk9eQOkP-RcJCGvW%k z`EmPD;%Y7D)0?`R`Pl5JPuF+~^m_kva2dS6AN=&h!2^(3|8KtUG%!p81*im>0V`5%Z#I@OfL-{P6$6SK2QoANzV5^lI-` z=)J(;Mc}9Td@Cwt<#jP*-8BW7w$}b=0|3KM|n`)L!ozvzXKPqSNB3Z6~9ORWx#06udbRrmGrK947hmS z3fyfUKaKeR|NFn00W-j*qK;lBVLi#uul1n6_cp$7z(pw^)QkJM=2)sLx4#3pX~TaX zOrQOE+wYfPGTpTM3uBRQIo0Q%zs!@0{;);8LdtwW5p>=Pnpauo^1aW|3Tp&(V1ScFvweGzK(K_nh zTEG#-QTM_v`X$%R^ACJ~eI9=Kygu(-=gOTscan3?hXw7rw(Zb86C2G!EBXfn^$o1( z&MW@fuR%puUa{Zsz)^vI!+H-7^bfGy%Wp_fKspZ^;5Q;5{d=XF_3G7ft?bGt@c-Yx z9E>r+vfTGf|Ky`4{%b#-cH{3Rq<@-I-(TAAW^D}G^?)kZ(H=U+*mmB4+J#@%2bRms zP0((x1*2V8rFOny1lsj~erV@`qv-nD)UGRbO~LgQ+n}B8u676h{u$SwOSxy;dBhmB z%T86OeI&J;7hz~OmDi$O&#QrUHG|qk$DbeC>s62o#wV)YzhwPIy^QvrKj3j_OUCtIi&6Yn1JTYFHBPqeas#zH`(8b^*J;xQ zK4RMPW42xVnTGtzfj`}`?Yu@b+F7x+VYXehqwD3yvCnP02=sE{%J1=zfndSO% zm239XxXpQi@2=CX+jeJWR`Oq6kv>o4eP`R9pF+>scH?`)Kp$6v^0vD=`qxJuzq0Lo z%uQU!vVWxO5A1qx^&&70`Ey3KK-{eR!>g9FG86CGPhS1Ex42$y!F4+NIO5`y7UOz0 zq0=?nF0x-h-lf}m^v}MuLp&@#`i*Uu-FD)7hZUi5<<3R@e>`*1wmWXI6mRIW8=ls0 z)e`it`an}VCDJ%Jyvoc;WuqWx5dbI|oa>C7ViJA2Ul zmgV|R<<}nRpXTmY^sjtQW)|t+<(L_07k?hTW!u%`*0`QsZJWimi<qFUSUhcSGx9uW4$0NkE@(tQqwo0=T(zzOP;kj*>Zdou7x=YEdBK^C* znQxtK7tfx&LjMW1DbE*ND6V4b=i7GaRRUbNyh*bD=HU7j;Ql3vf18_ZIXhJpdeiw5 z)`^aMN9%BB_oY^^y$eBa%5@~4XJ)14CM-KR3m>0oefav7@E2Z>;KL@3!@N7}`8=z4 z`uD^*cm)Ss9xV}s>-071_kOYK_@1T6EUQ-^&e6JE-};*6Cb`*M%bm9?z(wTKOO~^h ze<|o|)u(aY9Ed!a7rUt655%2W4mf*qVvg0zi}fh})E%Usym`9i=4c~u+4Ujib4$wz z_^6ePrQQQ6U^S%3N2fIDp#fiu6Q11x8~gTck^Q{bX(-M*IVT%EyX&L60L zt}pp|IGsDkN`Ui9Lup(k*C^Ys`5u9Icy8LCoKOA*EqAVZL9hQE4<#O&-+Ml9|fs5@y*k8oMujKRMBkyPY? z>m@WVSKHL~O!pB*JCV=zAF$r#FDu4de=~MCIKM;wCT!yZ%VqHZaHqn0_?z|HupU*G zu9VNhZz-Rh0$r_Ml}e&`65`-*zMOX~7jHwL=b=fcbCv1P6z~$R#PgIvoaVyW(U$X1 zk+d$ZdE?wubw)&crgP`?Ac}KwVH#KF1X_;=^MkXtyTDnAJ|5P`M01Kipe6FD4!^1i z?r{qK&Yz9IP3uP+tiL+5gnat6#5&c*Rg~4U3;%%2{rzcOM_&YY=Jx?ttvul4q+ zZ|e0Ga1q%GoOxfP{VLBOaFe+FvZwVmN&V5Upz+G$S)g}xiSf2wOr< zwQw%-GPM75zq{aK^1^9W&zGztef!>&|5k$5-T%~QfqKZZ_{XoO)$8Wr(5r+dG`|DG zQ9r8K1aO{I2%PO**3ar$;f(crB`5q%^2^1RtL=NC*Kv;!kJ*<;S?;*r24@eh5x;e9 zD)_-{*dO$VW8iE=0U&u$wAbKNbHAt(1%=*Pv>QYt)4cX zQFMP|e0qYj*jF*=_wr)+=-Wl%&mxWlfd|Y3SJfy^(O+R6+5TIkpYRua_}MR5cgln2 zU2lp9*Wat4e%L=(D9&+_;IdCK)FHoA5}bVt#=azeEF5h6mHI5|Uj+O>``FWGBP@4z z^dfxPWQ}tZJneY%m4T1y-}s0UT%Gxb~C?K0x% z)(>^7i}eR*UyI`$Clz z27v37o3OEr93Q&ruoXs!mJOkHx+u`s1xF6Sz}@mPlcK2*ID!@o}YE|xAgq= z#RGa)P15}4T06x0INvvt&+JEtUp#xY9Q~djiGJ1b6{uUeKXIYe>-EEFzBW`e_PcSr z>DW)UcpT+(>(5w^&XDS>p>OI!`fs&hsn2?a}uTtXRuQs%#I&mKsZGF_M7{nuE z{zkuMWqxnVW#n;iv-%jtGw5!0@bV#)pIZTlU#+Ya2>(+_@YiR`Ql9fSTwwLa|1tC| z@jb;KJ0a9^(WnNv{%~tiKHW74fj&4pP6H^;*lFEA%{~I_xC<&S3*B=i%j$ zAJ!-r=7qhEi?aQyqoIgj4_gdwlFQLKUX;!$_OLqYR#Yy#!0OqUJEVW=PCirb!AIUp zro81jLgUKW3-|fX$a9FFm#Tz$k){Ur6V|LO^wPT@&F}1oQxShbdhS+VkASmO>mhD5G^XxBh4(iWTC&G6({Kdn8 z()#oGNa#hw+Z5*ymBX!%3S5dj%SFK$ubA^>mE~eCjaUAamFhqH73^=!hn{zw05{?} zI)=l4>LrS&_fT-LtR3>K57GMpF+73zu>k1B(*w{uz8z@12{Xr9ALk}LXE{ytLa#q~ zjj`OUrSnuA{{@^^?oawuy02DSGJ~r!*~dX&jn(Nv_MD??K<4WioJt6%+4Zu}Y;QLuK6+=NK=7*cet^}v3_bszzn$g!d`=o~_;su=xnRx| z&vY)*{Aj<5-bi)(t>Y@o6>9>$tiF!w{}ac&2zUBjLsU3LeEK$DtLJr2LT~D90_QE$ z+-$$1Q+68fmto+h)P7+(8}ANo8dnBq?{_t{T>AKe3-yHdfvB_K&WiSklLf3poZSEW z7TYhIGYxvDWmn{1wmC}YR1!TGGk?18<%i#3{jxD<$p3UI=0*FI!n~+|=zha&uMHnP zu-0+?J}Nuihdc8oz+bd|mJ#QdYtT)ahI~3DDIR9>VqENa zf}d??M@x`@(@ew@GLN?0=^(&`XIbJK*(A%wtO#&kuNmUhMefW4|Cj?@Pe{Z5riSbt z2A?{e$lpZ3M_;@?$8yuN&_nylzU%>)v59{{A9oOXbL-F)4W zE(!MfRzopfZT`dl%$t2j{foK-z(ryN_BVZG?o6v!Q`dpZS>K>%Sr1RQ+!VSfoT?^BA|H*`X*m2!~dgF8HcL5f7 z3+v7i)mK;_(K3S{Y)t#)aj_Ede4hy)@jJceSFR~jJ=68PXe9d8yBDEuRjV9BtzI78 zMDZ-0O#TC^BM)ZW25@=W64eA7+uyzYi#%dp~2| z#jyUwvsa|`JH7y(-_4}2;PUNMnqU7fBjEEa1zd@Y`Q6vPH{#zmjK=%s1lGGMP%y-D zlWQyVJmfg~HI2Wau5{RT;upLrZ-F@{CfN8F?gcj+&y&wim&ul!)90z*hxhP1m+4+= zDEfU9j($bn+sG$dG!W}fMI45nm2W|L{_-62qJq~#@ARSHp=IUcQP#(~@He=66Ni5J zl`V0W%SsvRXn70dK|QNP_2ar6{=%;v<>&Ru2pcD_e3ar`=|jBNN~{-Cd=kaOe?p$w zz}&chkdI!1%dl|hou$#V&tJL&u2-xD*GY%Ht-tcVMg9fHf~%#)dm#R8!K4pAj693F zv9X9}+8W}nA<*-4DhNK+!pSFBB>CrYSC+HZ5}co31}@&8MjeWM)4`oDjj)f2(hWyJ zKTUzlk!!H7)$x{;hhIa$S?_k>yg}1Q=v@QBb;|$j10%yNH+=_zbD#6*S5E6c)p98rB!nE1_qv=>Aag52$}x)(>37wTE6j-vzx4qW|jGaJ@4 zN1T;iP`9RfHN@#GjPHdwi|>MulWiF4LBAf0e9FK!r0>-3veh}`AEW+NM@9JZYcjtxwXr&KgSfxsmQSOrt6|Peqlp;nrW2IDvTd>Q&%8*(1hsxt-Rj zQ=0B)bfrk_hrCKC^!#(3>sIHu)|qWTRi-`^=LJFMMV0I!3F+MYNavb!-5YsR6`Nrl z>8*_Fq2XurYqH2V>tnwCMe(GRg^x4$!Cd&y9R$u+jHUVd{0QfWoc1H}oQm{Q`UP1% zOWjZL^yx0FM;PI2CAk9tteHZ8My z^?eQcmBDnMBMbgI-*VB1&NW`RChASsD<5xt_~Y5|cbd4vhvlg>7W|_N`L|t;e6rrv zw_6|9x;w?Q_9n$swN_WF7gP3-Pvv0bQ@9TuY&px`2l4O*3*e*QC!h{ZeLAOjzE`yF z&K-${erIj;%iev256gQP{c?}N@aIRfQay~yABK3E^#xbqtI6l@CwMM1B`%|1?b{Z0 z%TqUF9@&H|;Hu9TaCT_qpYVBBAN`7BzVOizSJzuEI{irT-0g++E}PT)96kFvd}P2Z zI@df3!AD)Ab>u{}GWL3>L}g_^d4XDp)AVhJ{HsMRViMB1d`0J%F1Z~2s`?uSSk99l z!(ZILhP;U*%^d5alk_@BUOmlNcZKtTtC};$SuWp>q4*Ew0ynpxO|YETI8AxjauazrdqWq) zCou|owPP~!;Izs*8hi+?FQ;4!%A430Xt{R(kMhu{8aR9SHW>Oe8<4)vYxJuN z)&bW`yAv;!It4zrGb3-@lkNkZ+;N*NcXC&UUj2HB^mE6DTh68)r#!5o|I=fvb^v&13r&&8%K8&xH8J>CdPKbt?Bp%VopSh(`rd{5oX->W6P{0nT2~|6z*T zpXpqiRgn5UHVgi;;#NG@u$K)eKR)z-BmCX(SV!vQeE4ul|98Z;rcJQpV!_LZ=cfPn z(C(d)ACtV6cn*4RDY`bMbA)fFcslpO`qdY!LC=0Z0j~ENaPfG=AnUJFFMykQ^!(zi zitx4EX_0Z?HG2fDi$BhE2N$$n`01|T`d5E%%f&!?PILxd!@Q`;+uc3Wx$JlWd5}Z0 z(Yh|}M*06p_xZZg9n`a&)nF=oW;CWaOVD$l%Cxhm_2Gr+eoTcNK>etbk8oZ%!|6Vg zof?XGoGq(5Ss#AmKKj+`!zmuG1xu`t_Ads1_VGA;^wK6_R<9!;gUeQfQ9q_;h?mu~ zOJyjY;f?4#3UONqeF)uW@;ZaDFKOS#s6&})1@x-OP57|L6uiG;fo&0w`c#?r)y5?i z;+aY7P8@icWWTE(b$VETv$Hhx?BXrb*I0{n>P(_~7Q5C$uh(>t_By`1B;~nJ2=Xj8 zAFOJ9oMhU6cFzl=5;{wW0^*uDM0&A$QDu%(|l$wEf z*>e`oq;#KZQ_aID_++629d z=!ALXGY+FpWDYmz&AVclM|o{0-UFB;luw?g8SMjZjRsjCF=`;q*Na5VmrU};eY@E^ z6D!6)A z4*Ry*`3Z44@lV0^=FwxJpGNP6)Y)6$Y~-ntmdn0$KgNR(l7GXZgQ1V?4Ij2D23$<7 z6ac=W9OhBPWTJKSZqyFTc{>Ms^G^!$Y^I;ZeX?5L5uAJef;x1@y~h2IUfqxM&Gtes z?rp}r7>~B#(wF`Z$BA#gEFs-rj|c!)L(W65nsi%gxjIC3?tChOI^;uk;(1MHyoYhd zmZbHI$){M0L|Nj1WX2AH+@87Hd{a=hOeNox} z_vSPEVO^;v^nW_ebN4`7=lsTIa53aL_IXkDxU}5NcuRHp{tWHgI;M-|PSH@}m;2JW zvuvTetv4q)37nmx_a1uovU!&C2_@lgzIf63tH+^k<-GnBPug>Fwa{r+JJ zd4r3Ui#=?=>eOn~H!FJw{hF`AIA8eFIB@Pwzn`kPi8E}!?3ZKU&Ujky^3_%BlkDS9 zh|`?Tf%Wc$(|d2#ek|?3iz;Bedd3x;M{-w5aJ`a#uh;IIf~~&^s!rT+I;Z*`@aW8*OzGBCJJ5ud53p7@g=sL?12DB|$_VZS@kdIvJ~5z1JA5 zx_a;4%ys84cz=E0{PKLxcdm2Y_qpeuIp;i2W;bd5N3(V*SSTA=tXubxu7itJ;l--< zs9dZxFVD75)_oUCPoOf7>N_eD}S(ZrmOnLgOb- zVw?@6adBh}#?`kK7?;&A(D_qn+}!tk;LcZJx#{}G2cC2O+?U4Llhky6$O(*_FYgS- z!;<|Y%)dClV}_gVleOz~3*(zzq$yn4w??$c(R z{oH+ukl4#^+&;?)y4wcNp(g@RS=DpZ>Nu_U5RYno)uBi+TUjjdOjI&QJJ) zPkVXWd#C4V_Mv{P{r5ziKipn)pDM-JJML3PH+qwh^eNtM!g<2~ALM0w#NvEAAp0dZ zZa%I?-F4ibh|hysARqp9oov(Kue&ojO)YEUFySH=$#%o;}558qG#ociV<814IO^%zhm1bakc{Q9b zmqdSa$MP57^$Bh~WJ(zv51EehO{+~b9#C)(&MO>H+vk+&&*ETwRK-gJzsDyI|OI4j$d&R^9el^d5OC!y}9(D!?8Tog!$^Lb(e zjEhH}=qGvj+hv?zDAz+5j~9AF=Lam9k>HMf^FMdv@<|q&hZp%%i=<;Q_xTz(E~|7v ze!6IR)Y*1a1@+T;c|H(p(L{$}%E%W&SUJmCCt)D6c~i;|>Ia~kW!41bSx z#(laibb8Umi~M&tgAaf8-*U%o`?TZ}G3uK0;l0}ZE^(SUZ@Uk zJNjaN6(2VR`W&^udBt#WyZp^G$4%Y36nD}M;+qFUZ?@M1m$ie@2c}v*>?d|zUT_s$ z1M?ylyjY63S02;#uBZ>r&*qi~( zH5YN8fyh(mI-?xtdBZ86r7f|})saty9JdE+LT~Gig^!V=MmR2JwL#rf_ZIMxe^y%# zpRH%9p0W9eN3NRgxQwKF+UQg0f4lbQ5eberc|-G(`B&k-p%2aP{vDaJJ?&xLnsO-069yOXQ#C9yohDc`AImY$2bVsnJ)mr5X=? z%O<4nbP3#~?%CRL_V78lP56%d+294VPU~54rh9UTT&9%|FRT zO(cKe^%K^+SwC_V{44jRxYbfpfBw0Bw&QkLXK;OOBm9-viS;NqHpjfEQlBZV_o9N( zAGu8W+Dpm*%4O}iEZH;>BW0lK0u6>TeUxW#8(f8|m z=g)7>gI4_ z4*J7ZaCI>Q{N>E=^PP{(x)WS}r2B>ODzD(*;1>C8x`RCV7lu5|IuGpg=FJ&!-E$(% zOSV+B|34Uy`vUhk7Uq0(F4F6v|4}|GUZQW+3gYa*EO6Z@9qyZIMzVkA>coRaKySyT zqqr5)g3G-1Bb>kO5|2D}bq+3$o*9F<=Qn_}QI)_|j+K~SSzraY_|Og9Z10Tqs6!Tj zn`w){*)A{Ak8cXDCg-H<&2x$NtIFNb4>mF%%~yDZE&fUQhy;2*VW&HQvk571zhedG zlh5m7@aH~nLy&)LB)I+H2QJcX!#wf=H;B($4|^%M;(?BvF73&G;z!~qj$?hveYbJF z`fVWA3;!v2jJsZbAU}LqsRkF_u^87l(D|?tLEvg=Al8e_G!gaW(PQ9m3Kc+~*pF!k zI6Y65y#E)V=OuIW9PIj2{{(KLA8&-nWdt?df+ss|T<;nuM58C)Y zdLb`H`PAxc-z0KIVQsaQnP>h~s?VK|%!tb~Kc{?VZI$4sYk|v;Gl}op)W>n@L;HZOzZKV| z2W&%~S=>J4sTSNp{_^3DNEcUBya6tT)u%dy9~|wtos;~WP^2#PTiZ)Zoj?270dbkn zI^@Z}XQTUFhu`2MpZg;pkz)8p_*V&rUQH_v&Id{Kq3G5MTuey?e>>s(NawFA_@EBF zY7FvGK@xqaVim=WZiW1Hx25x(UZ0wbxUBqIyg$nr&&@8bt^7Or*XRr%dBU%s<2-yV zxH|KQ^3VKjG2&JoNcFF<4t>i8zntszB3*yVCtoQ%zp-wQwc~1VC|z$%7OGDru@d@` zIic6RA0$FIx7}j*X-@Woo^MHud|28M;OwW-$VYcw34hVqXCU;WXrGitCDrHinwSI^ z_j(1YLsSLo!`nqhJI;L(NItG0~kLHre#R7lS(|X2G9cq+EU-6k`W;?yCNzVf^-XD5Z?=5_!xk`2T=>X;Pwhf;1&5?ho z4l$)^9#7Q9e!?acgx+omrull9VUo*VjJXfaUmpRt9?Jp{H(w6;7?06dck=eOKb@X8 zD@8t!{cyd^=Uo@@Ig5y^J?L|_=LPPA@*wqzt-c5T;=qSa&R?gT484AMhqy;zxbtBv zVlnR`bOc@R(=RI=H?yuo&(>x||C^KFvA@as^uD8IRd88%c)0Ut{%4_=S4V>j&;F=0 z>v9s@-Z~4eo)3Xu_1sPVah-6zBG;HO=Oe4m0_UOmDen0(!yMP=#*+SYK5$-BL(jj{ zbE68)O#ZjUaHqF_)4F5r;%@mT9kbk5@jSpiDxl8nLNKn^{6L7u$C+eRE z14B`V9PcTgwmB)!_{z9m-8?J#_bWv6yLD(+S07s}c|Y74OY5#kNz9|!*8+N5pYA)R zkY{`Q|7DYd{mt$&@=xq zoo0_qtU$Yqg@)*6hnlcBWH(B;Bhd%rf z^lU~=a5egU&x9l&A?d!U{w<4n35Nj9MuL~2mOgYkufopXT6T#=G&y< z&PU}605`WIlJ$EAIc|Rx1J}LI5wD%K5%O8}}Xwgu;ZJVl-|g86~JYK%NZul2}Nok_pNKS?j9jfdXmYDe`? za}xI#(~I7V+1tj@n_dSrF;P$Bf`A zUm9>TXEx>kc>=}FG9B-sBI*^m>L9?)l+R0?kE)Qot_uZ$^YnL-4~uI`KJ$Wcz4p+| zp6Wl$24WsnrsVhceru>c2S;O_a{p$iKf5nUU+TmF=OZf6{w#OY1XoR# z<9XHG_!aw)3A%#%YgKyzTi~PeMQ`~2tF2Q$xU)0ldj|W%Zv%p8yKGoTc+uV8JZ>Il% z-pqW9J~zj!fvcc`6nDxu`6YeQei)oTb}m^|JoE>R;G1o zf4w-}`kr%YAG)qP z&uQQOQZOnZNpBK*fb+yi>~CV@`Du=;*Q>#Gu{7ZN*%#cG#rD(S;Gdx9y+HhTlh$4C-o;3j1t7iW^)^St)FY>=|5hGN~>e0!j`w`+m(nhNux;#NYh=M|$mS3MNz{M1uJ^}MtYan&z-mpIPn zB(I}`O{kw=H%9;1tqb8Vy#v5m^Yru_dx3s`7vs8tt2TMDUew+(l+UensI#hB63-7R z;W@Z|5(T}vdj@@?vfl*Y2Qo{UbQSaqBSxTu$pqJne9r_vk_3$~z13#7*#5GkOzmdjoOJft3^CFSml5 zQX9b8^}2)MKaJ*BnZ1<1&obQam^w~A2kCoe6|-kJeAZnipC=SoG@OL|#j)4mBDg!& zi+I)y_2HSyVjY`&At!6{$>R;qO5{{dZ#Gf=)sW`kGW%ud?eYZZS(!W7-)#3hb)8-e%Za|_ zCA=xm!1f*eleo%7_cdE-Ao_t{pNo3RbPb?4yy1E1a(_er^E>6h?dHz3UJi`I`ep0r z{wpdirgf2OU^^FA9(;p*Oo=g=M^-pvYUgKEO>o{nE7q62Qw#SO@va8xYqWvC_D#gP zw#P}&7XOWPZSv-&{#--P8)|e3+)qWyli|*vRXRl1+kOSOJytmeJc8D#38?|DTCBi+ z$Zmu|FHV%d>~wm6nHla=?C6Ai)W;gAr#h5tL_!kh@iW22Uu{q~);a*|$SnB|ANJxC z`M(WZ0-qkMDW9(NJF+}~ZIwWu@lm2VQl}BB$3ewD0jD znNbJx==W&H24E3~`{_f+r{?ZBc(YvGIV+-#?AL=~G_o;y|5tn5-H^=Es zyf@;qRiCJz+Z;k%`LY+{s#mEHSKci@#^ocAN^l;t5n(E5wb*FNa|K=vBzYS~`li+;v?gN+A==Wcq<8m*@`P_%_XVWjD zZme(}?RR5+ z%~zchsE@5e`<^i;k-vDV#=E$xYfHrCY3hR8Chz7sE^E&OH~x?4ei2`U^6Z@4=W}x- zAAV=&FsC<1XHlNjeg-$aVum|z%}{WWm;qd#O;7W?`Y8F&zE1m$*O>Y6X-4Z;51B}H z_>nQxaeib6e3*Aba8Y*6V8_Lv`&5UaKH#juqoIzoL@)U3j=z)s$NkZc>o6a1ae;o% z<=vl70KfTz_?qI#N9BRxs-_(ll=m)(u+XlzgMS8AKI{ABpZ6nb?qF5cO+jT|zSoze*Q>Od{ zaZQFu_{#<-@Lt2J_@S@l)MMx?nW8DJqr@oq*qikKA-w9~G48tbd3wHLo&H5W#%BiV z!&lRLO49eySij=QAbek{i_mj|xY-X}`?Y}HtT_yS-tal;-z^M=e;B>j=r>c~Z&l%r zj+@W7s6Jgsfb*hZ?Hw22{sR{toxs(GeC?n=O6yweyNP*`w;KBTJD>kfq7KrFejn!_ zilY8%z;EzT=`H$M^!A_Ve5|KGxLlt6-se%Mqw`^lJAj+xyQzPIKI4ADF4J?SE)zz1 zo@m(0`LLXK5!Z%HLq2?N=e4S0 zesxK|xz1m-rhZ_h>A8r-1)vXg2tCi}RMc<0Ph4N8H}x7L9}`gl^*2{iD3^~p{eb*S zKDq9WWwx7v(0|~RfBr|%s~QWiPW1%pXA`;}dLEZWy7Sb7ywHmmW3YenDx18WkD5yR zkD93IzBcXPSf@8*cOx$A{0I7zkKNhR>BY~{RG&pVX`ipZ8+~P_j)K4TiKcv-`cgj^ zs{_tD2cT}c&-RJPCj-3)v2%1^FehhYpJcbvq5sWc`hJzwn5vy#r&~`xmD|xgZu|>< z!u(2-erA5mqb;`!-vjV-ji5K(8iMNqyLvkx>)Vs+S@Z_xOJ(kk_eWiAJn=6}Q8yO* zD%M>u+qsmk_X_>K%yS1sIW9lYbClR!i|Xv#c!}d8wlnl%RVDO~EV-(ni)$ur0cY$A z_C52hS3{@g<3Er-ek<*VeyM+jeoh7CFE7TC-sZ>m0P=Q6aCMUYuSvCSLw)jh1nG;$ zA+9Jkd$#itp`}nCoh~Ik7xgHF{Y2#L2fa>AelA)xV>;pvtqLx>T%`NRk$l*<<=f;u z@BIgEFZBv@dc7+7d#Z2rJYyyw8w8(@^gPBR_d?Hu%JgwucBOS{*V6CE`droSj*F)S zk*D~BAy4TwGTw2OY64c3gMAL48^0Z|vJ_{p9A3i#YneSgmPF z`+P#tMlO!5P5-Z;d)6g=sXMekH>Lk4Hu3cRkMw>K;q-Q66U60eG2MT+m&N_d%!vk9 zodmeNc(kyK%b!M4f8U`0-w^+K;{8<3olMtzvNQC|ZzJ{ppR^C!;c01|7VyPBDW89U zUT4dU{Xve-M$ZYCy3qdnj}P*B&G?ib2m&hDS^KYdxlPyhe` literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/22.npy b/MP_Data/pose1/13/22.npy new file mode 100644 index 0000000000000000000000000000000000000000..d9528f6f91350bf4bd7145acd228088842ac3103 GIT binary patch literal 13424 zcmeI2`G1Z_)W*kJOKMk3Eu+*LOCn+`nW$atYhs%qlvpB&oe@DSC5Sb|*tb~QB4{&~ zq{QCDQc@jM?X-49`)00_zu^7#ef{!$p6^`ub#FfP1kT)*vl2fpjuU|jrq`6m1a&^TLp`!@VH zj3xi?E@9k`qH(@&D#rEhjTmP|u3?U-pvivvvg!$_*j|})E4EW8BvpqC!>X%0TYUM~8-}3aj8&^BC;;(%Cz+Gqk zyTQlA7Cq_4?b?s1ufCuAcQ-B$$6{QHj45uMcge~xV!{(Qt`f>Y&$=E>bmOY_^~a8z zan&xnPrhjNQ}-#pPrl;D^^xMF_ozm3nihQJ#`RO5b8g)FZ?o>ZNiRorkFJOKd|1K1 z-MINagRVRD7N7js{?|^=52v7hyi(##_gy~uH61=3rrg43^C2&iGPxeJ8`sIepOKgH zT8`_*(9bWsaaC~^>TZ{;LwptA75V5}C!f1tek6*dUh`|Z?;_tqTyIzHqw)1Qj^KK)@T&OyyeO`hw@+pl znR@m<6@6mw5Ba-k=2yEe57o`@Om>m^T@)Yk8?LMW;U>m+cctrhcFp0&^^t<8JNvKj zA8y>t&4=sNsQ`?#+_x~UL+f6}cv`7@$n(xCjH?{`mnUUjXP1?K>c&;RB3K7A`-_|+ z^SgdBX{Q@kx5pwswa^Q7*57dCWh?)&1mi7BgPVzeU3dO!_Rs4b7jd71tEiY8j%!bU z(#M{|KH+&^VV{Yn6XTrTG${(b4eSUX9q{i4@YcD(dEv>wIv>^K2>kVpJLJ=5BG%nZ z{d=*~i@`xIFH&r#$9LZCFteiQdjWZ>!0~fZ!Vn%7Y|xrc3i$IvB+@|w3ht4 zJiO$%_O78EXBB9F$i88ygQ)YA;=ak^-);lvH$34ZGklOgTlOQkN${BKd{nVUG~cT) z!P%`fa~zkSHKqBEs)zNnYgR)q`!@quv**x$J6U{z)AN}vz-8Uvz)f--^fqTJaMOM` zoh#+z$2+}QS%!E%fpxJt@@n{aJ-~cb-B#eDX@eDx>xho%D^Yt6>SN2_(SDiSmUxRg ztB6mqjxuP04}3PB02gB_ftz(+{*JRYi@^DpUf}9s`IgQ{5Br*Y&OXF?*~Ymd9GAr^ z(z>W$z}2*``t!P({0S^CZc92Y|Z zC~izHiu?Y4Dd*3tmmr_}VU&OLBjval9ff@O&~Di0dehe>99RAVdL63B=jG8!j?2m2 zP&XUf4L*8#w++xgJO?f}l>-+AFVp!F^M>*%dlvoApEaM94w7 z>bx53BHMcS`DOZu3hkjc+4Eq(n;UbdIDhf|FmOGEQGdQVv(#}`Qi9u_3Gi1}Q?VcQ z#}25cc={GxcG&eL@(jL0KFMq0FP7Xz|LerD(Cg%D=yP*6Y^Kx8gJ06RoZ^({iINeB zdoc?6vphk#@5wK(#QHgXatQgy6o=k=#bQ62?gfZX`~lqT8CBo;=-d(s;@bH%Uv)GG`P6GS)s3@9@zC=Go94c& z%S&g#zai=EwBA(DcArmx-_*It-+hY&G)q}gUz-MnJpGLu`gQ_qd`%e5k99$*-Q#sCaWPpq6miXD~ zl;o%opYuUVGPftlo^zKLWzH08jbY9(%=m$NnJnCul`S111jH?&Z z^9kSB2VDA=!TnC?734poGW^-dhGSix{Lw;iF_!Mjyx9j@NB`@@`|cp0%bfb^&J1vy zuo2u`>r3lW?;<#_J0F}sXbL?aRSI0+nLy`K?YD@li~fxM*MsuX`5ALG4E0P6gkBYT z18#FY#{RMcf1~-f>WBRz{-`_M%~!N310UJDUAp^jhg9t4eC+c;;!<0? z$0SOMTY%GjaBS>1E-zg#1Nrlk*--}-7Cr~OQ&aehc#Zok?^#PaE{A)-hdpc!E;c2O zaa@T}(Cg;0@Yk{XsUJSh1(($iqi%X%!_`SH?(=xWHMM6WF7GgM3H-Bt3V-u{I5?Z+ zgL6g>?gMVamx9~)$d*noN~M7FE*-(8e}$gT-*n14|EoShKK#%@iMS!nC{NFYl;`NJ zp^l3sv|ohJKAP8nBdD_&eHeM#xLe4d-#i}U;k&r#UWK(|%`rnxo%D z{x|EKKbzeLaoPQCG~d&evA@JfU-+mi&5)0+v3i&Dv7Zcuo~PFUH@@A`hwM-na9bxk z{N;rjQ=C6vRSR_xZC4;4S#m4#(SxT$FaPO6{k-po70AbL7S(_E4!jo$&kB27T)wU$ z^rmVs)uGz15ygru>$oW!3cbyl7y0l5JBfQurhNDo_^apH!l182 z=b^gZkLq9X#PTHPQ^6a08{myPu+Q2~b)2_Y34h@oK>e_1dn|k|#~>elD;aTFl1HH9 z{BRODZ<#{;M6UYaMaRQmM2|uK=Gpde=Wn9Y$-i)Qs`J^PrA}|R{Ym-6eMJ7E)VGrz zXSF=R&8$P0Aj-Xh-tHJS z!Hui(kKkkW>_PrEWp^|9TrEoZoSg?Q-;C?)xcQ+bxI8t6^nJbvg?{H&%!}9b0oRki zSm3zWn;UvH?;m;|+u69SgX^7lTPJ05>AMx2KfVdhZXN09xEVGPT=G2R zKVVEb_!Q~~E*51`u=9So4#a`Wx`)x{X5T-Q=TPbsHu6WxCpB7PUIk`D z&%*uyS82^>!zbS|)Y-I~jQR31c{d?$w_l;x6N;e!Rbc5T=Of?H`;P7L743`Pm(6yZ zrJsjhyqHS*4@;@eH&Q9jrkB9w+zrs1n}@(vUP<%)=k^5WW9NShZU&SgpT-x)J1*W% z1!vPfr?^Rvp=UWqkUr0+q@Ox(qSLFmtbJE+&u@P2`o87IIj&#SMxEK_p_s1@DuR7# z_r}17_bNg4%uy8i+i3&A)#jJzLsh+43+E$e2yn5e0QK!@(cQ(-edztdE@8-r7fHZ# zi2c$Bary7BkdF-gi~6Jo^&y}2fcDGee7Mi*09s!=GaJ^+9NRI_#kKY6Io#ejgFIzm z%eCMIlaPu$ z^!uQ0n$ghti01VBjP#pG`9FFz#`*9Jdf$}CtKdE&pSQ!lW(R&FpPx2SfBv0whV#*- z>L9KPDFq)fsM0vcRgVnl?cGt-hZO?{A?{mxPv_T~P#@l`w;cLy3&?-S3hL)Z3*j$A zPhvmH!zZ9;xl=YE?w5Z;FUAXS8z22mQf6H96+LIN%fAS+^@qEQYEb?IiJ;CL= z2=s|=5({od^aIynZ6_k`+OFW*i+uF$siPei;q?1}sQe4`s_Ws_j+-L6$fwh<*k7jp zotb`_+{)glkEpQ^^EF=MH##l{HYRFn*eV2o&~qLML+li9s_6h_7ML~ zRdjLfG3qP(k$%5o8MhicE^F7Ly4|b}y(+iL$8pxCC%8y`ggp86`rsgwhUV0sTe#qL_=YqgZu8%lR zc)JeJ+YZBMU5dOO;^t*KhY|1mEx2gav#s+{9`w7PIldKKy&g*Y^k{q3Uw97yx1B45 zIUly64z1UUufcW9=OZ1rnLn7jPj&1v>MwH!u6F)xm$-}ZetXeBY|ET^?z`C4lJvbe z^0yHkkv}Vb9eNS!k?wTtT7NuOhy&k4FN=(&d}7kZxN-i=eQR3ci_BB zLHJnSZh#xt$)CetANmNr9O4_{I9uKn+`cPMb?8+Q=ZT7*4KAutJ=Ma$79-A{eBi8n zPMl*rcm?Xr7Ih+?F`MF6%elzuMc3kg;<~j5zFb5|n?a2hL$JAO+9E?B3VV ztN0tp-!u$5pv`@DXzq)`h<-Im<7Ti?8Rv$Lv{2=gjvdMmRkm zmq7kiBdI;RY>~P`O2RPV}1D)`nw4$LVw?3PXe{` zH=93&o~Ku)zB(}t_Y2m6`cnn@g4->g)NkqW(3=PO)8K!+k#?Wpbhh$95e-^%uD#;B)p1>YrlkvF`R#zI~3XF7x3dj@`w4#lglj z-|ivcYEu>LU$G?+@9%QadvN)D5&Z3z2{<>*%-i60>H=_8qCj87?KzzCId>fUoga^# zvkS})b_UX1h8(Z|5epf!kV zZa$88Tn(mu#NW5ae09TM^p8CgNB-NoQ+*OVqg|frsUhw$hLKR6Fwg>^UeMuW4Wg-Ks5nfxmcC7%izh^vaXQ^uev8kP{*-@$Kt0v9Vv~|G$7RSO%Ck-ns$1hx zD;&2$4E3*H+@?$*|G|%OA2H2yQ9h*=xII67 zjMLkGiHNH_dw{dHqeC3$fiu8)4f_4roa?|HXI(x6m*rzDB2W2m*6+Hz zj;?WfJ)O=ykx&42FqMOrI4;)GeNAt!jeb-6dap}z{yi5^+*XayS7v)x+{gKnQt;QE z*1$(BY_T6cA9_H~zREy8`iuSDoR1!I09*`>Ks{A-(czApy%Kehev4^c_Fsu{KJxTD z(qDgyxZLy4Sf>{Q>LRWv^$tF!(M80yr@w*Tw#tFHHf;Pf=fkQ5gX@nQDF0K%*C6id zONeWJ>2lNQ?65;vM^-M4@>$GqzR7}9HpAyieTvKbz(=-vw8L?IC>OYm9Dx0th47feq(K?-YT~)bH)44YCG)vl}{_Jx2@+9ZK^+(G87yA3J zl>g%XCH}fk{$Hh|Zfs@`?R@N$Ld4VmCLZz=^;^EX@R6Z~XPl&HLL+4oQ zojxwEock%}#d55m^=kGj_4zY8_muAi%D+KKq>IZcWj%+tY6Y&IzFYy`IR^Q#jSo;y zwWu=kR0FBcZBi-ZV^W`wcY391-|@kP!1?>j6CKwp$01Ku!UJ5^>4fza+fLDZD_y5^ z=HKL9MlwuL$lt zB7fM7q)e`N(7uze&!GPD?G<|7s7TN4;zM@mRe`c}U+`T{`TSE4b>;zsR>1#RZ*bA? z5%GUN$Ntj8Pf^^9tFT@+zDjeaS62Gmzuf5yDT%f8r0B5pB!RJcK0mbh|SlFMfs zJzuGucWHm+U61;R$gR-ZV1Cp2YLA$iPR~lvbAp~T5?me~3q3oYOnDx73a*wm4t07x zh~8`L%DM0t1#LgaO+I?=(uF2bKF7WLI4-;&!$%zJN1R;@bX-Z=*OFz>I=;{C?U%{r zn)6hLhTwQD)<&%BYYUq2Egb!PAlKM8h1nSHLy%(EeRPfb*R-0dR}>0JoF>!erhWE(mCM& zX*CyDf43KUljAbZJv|__wbRRYZ-^h>OXu_B?X{hr`THP$U5>b%aBR5aCayoYoO=~| zk$0AYzmBH)?xx?JOlrbX$9YUm)W>|64fD0R8qj_D<_OaJF2?@ir}r*!dX=vUI3Jlt z{9L`6h}-ln&G#Ptzdk*9*#yUBBK=M!{-Ng?)9c}A#O+GYV{*k2_^8t3Lmd|lXrG$1 z%fRj2*bw-ftcX1Men#sOIsZH8FU2D+31=P)Mp>vF)H27#-xt-#H}pt+9!|G)p670{Q?(|xO7*6-`L zw8H-fpV1Zjip}bK+x3STxIHW>^HX(N0B&mC$2l)<>LAC>F1qik28lSg#kf&z9Typ+ z(U+oC4V?4l%hIjk*J3+3Yvl_)D;BcEaTP=7h4ko(b6dXHG~aOCUgy-MEdVzt`*SaS_l*=7U~6t3>C3 zF4WU;nc4%Kz5YPwQrV83k}^44mj^z)d@kNK`}=bnFF11jUMuC}0;9D~j9RdySefvBrX3 z6tRq5LoBfqgC6Eyy#K)a^&GxDzvr5J-)rqPYi5^+#U5T=Jbf~;5H`8WpuxcdgQ_&; zRhkWHT%{(jGGuhn*r5Ia{YD238f9KX5)#+gpKZ~f(fjPdsmAK7uWWGu$z?wc4_ zqyL|OD8}W2^>lo$yBOzlXq*+z{>&b)V_k55dP=XW)?d}5akVTnj^~xmW1O`u`G+0n z6EcqX{SD`@XXL$WeVjFe?%8p@E93aUQk4Ia0F3K(@9w~Vd&cp#Q(oHR#Lqp*XKTJw zc3iAXLw(tW><{d?EVhKkyXI1MTzAhnzT<>fcAT#*3%wH_`KujgeIEU7x$v!e(|)SC z&TIQAJ?|yjaZ#J}`g|1}$G!7^#Q4qz33l9hy42Y3;*YYZn_`U+pFb-9j~(Yv?oxg~ zea5Hkv-cD9$4{evGBNxhVL$ceNe}T^ZsPm+^zX9uF3NY?Y2>A5#Nc>VzQj#C zE)qtd?#_XgG;jNQARm1@>75?hkIrb>EA`DSwO19k8Y!1D6dlBnIMtr1o z7%&-mDBr@+OZTquF>Yz=tdCULz*+0bN!EuY9V7p4kI6?&!n~_aU!$#FWcQ|ZJb42+ zcXkEa=J@o%WIoVmMF zo*zb|4yx@##ATHmfUE19!DaD6@X#_GoFj?6{D4)q3DkdbP7YW>sr&c{hdTD@V}~%k}GuluzPyaPg06Z#nZ^ zNBV6WFpu25LxA-cuF2rWllBp{D$6j-+4lg_AHD#+*)n(l^wTTt z1i0gjL7vXeRAspyI1~A(ecfoC_r6!zaz0#8+{o$Vb2EOD<)*6_>ZY1{!H2Kzz0Pvs zc?n#L@>HJ^PiTJ`no-a17tsICRKW>dl#JbY8C>5Ko>z2XXK0B%kpNeWfadhFLDR zbOPr`t`HZdhvnkjD{%4kKg$2@R;*K1_5rwNgTY1rYgpI1@oTCBkHx&`b@klbtk1*F z6gMs>*1JiZGX?q78$ogVG4v-(J+&BoeLwPd-vNIeewy}yvR!Fj4u2v3{I!eK>n%4) z|7Y_aLfg zrZv}aK394Sv2j(ulZfjCXN8acP$|@on;~)J-}2#g`(4NUJ{@}34E+zjs3-4He1aVp zD`vxoef_6XfIdL`Br`Aha7k7_@ zTh7@=;(7a1oqr#J^(Bw{gR4v#^VPG8pVjMCVWh9nh3XtV2mRx$od~XLaB#;-2@x#6$9i>|ajV#7gj=}*@SKCXtcTvbmd|JC;?|7=;2r+PrwO*u9J+`OGb^Aeuv ziJLtxZW^u&l7E|EeN3ASeb95{!>4A(KERIiw;A1Acps#rFba1EBdT^H4llo`lWpG|# zF7aO)LoeFV^8@pphm#Ckh(GUx^p@%jJ!?zfJX)BRqdUKtJ)j%oACJne^$8`);q6X6@6FKZz~AIqhwH3)_jfSrQWWCG-v$?DJCeRyBh0&+P3zqZZG(Pu8oXPBxQ%@&Zu70k zQ>0d+>)q%^REH(4DbKRbPV3K34I}+;HHlvxj6PJp-N1F;%G*WA<@!xc@)>^!Tt#-q zx)5`3P~6Xoc%Bj~;IohJKgE$**ax_Zr+uJOZ(J9g)$d5Z{LlpWr~O6em18f?OAIN} z%5r(22<78C4_xIc>SwuGQj56zIB@gyQ)ho56Wy11|cv@w8m`oCt2Z)4cQlLQ7j8Ubrtf)6Ef=%K_4I z=Mk+VaaB{?N2!}F*ULv!+-66hciM&_f77@E>LdLN(0hSRr=x6K)o48OXEo!%_3N&v zCu=X7kRrWf#8PphD9uJC$PxoQPE`h796N$Txp*lA`4=zq#q;+&i zL9fD&fU~^5bba(%KEe8kvGc&Sy9@OC_`va&o6mGTHKR&_t0q%OUu-1l3+Ev|++`ws z-qZkhw(Y#Z32=@c5K^>~|yJ0wAaXkR*RCJ1hp4Tmjdh)_$k-x4r5L{&agg(@% zA?>Wc@)Y2#VL{A`9v9cc#?eja`9j2eLtOEt72>Luu86AwKY;6F`J$~}{bM&DO#hwondM8|{TJ+$eB*0y-L)FH zvuXgY7jg~VSLXt7m(V}Fq8HW?n?-%=Y@Chy^HN>F`L8*tpNlUGv2pdm5Af%? zOMuJ$eW=ct3V=I*mP7u$v>9m6SEtatnDa}q?pRP;%%c`mjm# zyvd(d!F5FHcC@ZP+#{c=>nNX}-KJX~)3OfvJg4*3^Jk8;+$nw+dYL-_eJHCn9E`ZT z-_X8#wi)JKp6R|6KFRaQf65Z*_181-XN%~$RdzT*eLLpXI;+I!_ zI+nBLji5I^bI_kG`(4~$X>KTg7awr7eiizJ6^$WYgMO#bTl-J6K5Bk92*4 zLEK67et-?U4lZuaYY)9&Ht1!AJ6K;V=j$16=|0Y2U#jQ8y*OX9SFN|4ulyN$lduzg zE~_8LyzpWZz;$o}@%gLzTD|J_2e@->53QG5x`K@>Hd0@)+(D!t(Yu-DDq928fqkw) z`YRrIUuOz?6aVXP+Ml;x1{Ya6Ay4_^F67Ck@I5xJj8mkq>y7%$;YqkonNsvz>?C)B zUTw~cb*jFdf!_J)J?6!k(*W}#4?QKHuzIvEp82gtp6^L7((;i1qq4-eM?){_hJo|5 z>*+ak$XnuzTM*A*Y>oBNc|Vf>s@~wH+!xwU%6fpyEB-iNQ)$modtSUyAh-@+04{q? z>4bca%>d_@x6nMcnuT?$61t%NqVqs-&AQ9h$0h)+J(Yh#zVIuBvwnwR(MhA-H6beS2&5eDS&8a=oE#1ek*3j$8$;e-S>bMp@H!^-Nd*TKzOZu&| zoadMWAN@gLUSw?2O!&NrfDhlf0)4Cc1dOtJ_Gmk}iVGwE4c^!Xbi!8RycY2mv$0N9 zj^*&@FXEG|uhTOP^UL?p?<2yCe%}#W`#9ELPR|Fu`lSl;F}uBnBW^9~Pj$2*xRayp z5bMV-#z8Ok=Dlve>kr(qpN>PnXQ~%Zpyw54Q$3%}M4qBRNAwAQF$4YMd~<~lt2UD6 zt9FeL>!V&)ME~#<2lFm&=iZCBzs`Y=Q|%efmu(g}U%q7!ID1qD>sPsY;rZS8eg)^> z=fhv0+JSvT41Yv?;2h$|Uin#nDMnHqZlAzecRKaOaHz*CkH&vU!@9LEz%@anxB{JhjZ~&9DvRzb_1W@#|l~i2HU1 z@wjN>%R`jqJi!l~Row_~PUMY%zH`RDdc__0X(Da-Sm=M6Mn1U@U|s8o36aq6nLs|p z`+z&H3iIxC4J4i|A2_eQ1OCQi7`PmMoAN0gH`Drv-)TQFi?)LE*&+yWAJF`YtVc;d zXf>{P`uv~p;g9J(v$}s_qSecPZ-T2NimR)wr2N0UqkLKq!g?{`A*hcGse^T7#?$*W z<*eH8mhPk9pN3w)h(%nLoaAZ!onlwX|G%}wOY1(Cvo5{BMTZc~yLfvU>r0$=NMGkC z>W7n!mDTG`eZig8p5W5u3%$2I7*9Oe(Ej#{yTkuVN$TefKViQTIbZs@rTdsjx~}mS zqtOrgpQBXIVjZA&u6Mp>b=*A-{m*}>11_5lpmh`)i1n*WxPXfRv9umL-u1C@Rp@)< zBYRJ#`AsSF#r{4oU$+ETeJMd)p6LaDne+kcTAw0r4xh%lHYZ!7{!Xcu z6xXjhuH&Y(jev# zI%&;ETCP`1s>Ag~!f`K8n<>!YHsQrsK#J0{z69P=pty9O@ve7|pxXDMo<{nXbQAucQB z2OlTq(KgHZ{cOZ@55RgiE+5ugF0Q4($1Iym*R|sn;UmkI0T&fLjMX{ankeX_Y9mh` z*oF3if}@wlTc1w!e_Ucg9OAONZE*b(PhP-B^}0!QE7;z#KI%?Ea5m&U&95_$`t8#b zn#a6Fs6M@JVO=}1e-p2G4*5Ibjq2LC&Zc}gFL7iU>MYt`L4BOyGtjg57m+`&KO@Y> zb=LKu^E%TOT;yiUEobi*Qa*mq>3R`X19^&0)aS~-H09$GJ0AJZr29!$t}r-TttMJ- z#*IT7!{w9j;&w!(7JFk}6Og`*DU>DzJezjqiuPN_~*xABod zma`*I>Ac$1BmL$R(6g>Z;m^A?BmU+D;V{MxL&yGwjPv0Z|-4np2pTu>XKTIJW>j$p{ILghmJKUF&+k3Oe95cxuul01 z>StD98}v@jpnk|Ruq>VL=uo;}x=`2E=A&NG{^Q(?1J|`TO|yDdo9-LA>Wuzm<=zg3 zzWyTQW40g0d5NX>&{xjyq3}1uqNsmz3-q(T*OvIf9ynjM_V`TeuNgfDv6TKaFM%tu zPnymkJ}E7)N#Mlz&Bhx?X*x`Eru!_hl0>D%x_hhVG+8msX^& z?;mHmXwn}(;%p=8!S%-b#YVod$Rxb+BbE^p4 zOZ(*hXa1HuWBO4Y*53x#>T^#yqikrJR=_mEY{fSES26wu-;C!8%3Uw2MXdmM> zyMn6~-@S3ZkLy$1D`UV}<`Z~7qiVOtyf_K;|MDj5%2`$~%Jl}9tJ|aB*w>1);gdf0 ze}DfAD^N3m_MK`A9@{=}uDdDxzj)POu&$hX8NYA$s5~Y?%-)WpPJSo;Ig7W z^r~HfIX13zb-+cd;#iL?(?8RYPoc-)#wS1a2Y%rs_A9m26Z@(Bk@9y=9L95jYWEh; z^XANE^6zj8c{)+wz{Qs8&aYqzW>1Y*XPMEd7bxM=bC%&xu<;2Ik9a!w(;(ofemM4%J%IS+$X4P zeO~q_-@0Wh@v^={fK-07DwVIq$MOH) zzZ{G)!2eYy|5Up7U%tVZp+=daYiS8KGJ@VmF1zxJVabKKr>{`zqU z`Fq_)yBR|5^8FaJ%Yn6MDTw%4g&?$>4R5ZaeJ!=iOOGGB_o+%9 z;G@f2ION*Z{Ljd*T$$yzYnM&q&~ED1iNO0iru%0d@f`0jT@ZRzWz#O#ZvMIR%yIU- z+$FRxTAJei%T_tAxOTa^1oV1yS^D2I+iU2*{`RzMxA76yy%x8MA#c24U5f8&g_o|K zmAXmsWqynQ!hhu(r?hpIh#=*?;k(`!5%bO2+GT5&tHpz2*rUsNc{d6xX3C zct8L6-$mE1o^?as)%-cs|Kg5_hdsIf%C)nOaJ93dNpv?eeeMh?jM} zb;UF7wP>;w{fkjPh~I3X_v@-hAGvlL@pr2GuOE+C=iYC!`nQpvrREu$%q-)}>^El_N?<929;a?t;o2k)0J zj%5^SoF&epI-1((Wuvs0qGx8rEsvbeDAHcD8RMyrj%>Z<+RY(vykC9OIg@J_ftPQ> zH}1||*KS8=!TVY6c4#-}pP^kvesjgO%L;`aBF+l$=>1Qd$0w$7?romKzeH}#gUDVc zvv53a!xpp$bU}P9yfX64XB4M?%k7%w+U5R&;P!m#b?0yAZ(i!S%2t^8{8>qkn<~Yj z*M(2fI@$Dr)>-#~3!qQR1HGQr0Y2i>;{?ZTGx;Nr`( zbB?Pk)h0O3ZdOA)qG15#;mZCP$L+D|#6wqri_@p3!{;>VZMQw(GHmS>$9ZlK=-IJX z;L5wgWcZ}k1LxaoVqMwxMIs$nRT`21`fyrrl}1l>T>CW!*K4nXiwyV4zfV(e73hn7 zMQ>)qonGcDLi+7ZXKyl#)W(#ywFe)b&Jo@w0ry+fYm zs;rnty=P5rr`PQcgX=dXiB}jV;9qSfxM@`toQF4U;e5p4X5eb%Bg~h{R%|%@3;#&- z^6WgV>!UlNmvxqr&js4&?YnjX&Y!`*7!Dx10et({GZ0mO4@Bm#roJ z{my13f%`uL=e07Re(c2ASf~8bO>lkKkH%GFAFb=MFOUay zH+{bRwm0x}{u_RQUJT5R^=|zG#v-15e&nA@{$lUKSjSDZUgW=bJ^b0IrC5)0Mmyxw zOrm{>?JWAi?Q>%8Md;;^%iyopUeeA-E*lQLn0ga+u8OUj1pi}Y!R3x0Q9rD1DAo~A ziJYNqp%gANhTIS`zu{0+|Q_WqC0;b$8^`jM+KDwTq2YDQ^W{!N;_@Hw!-9-ynYTDirms!=}e1rs?^GgOrDm z?cj2D-f51TsCaN2`hfIB+J-xB%Pj|IhkcL-7F{0e%QU6>Gz}XfpZZJruF$_6PyJr@ zqCC(1eHeK25#Y+J7&xoAu&?8C-X?J2k(=f>?CE^)yIZK=W6u$f@|rc?ab5K)I3Icg zT!wB8bDXWoh<)DdJqa!*2+WI|@gMnA4#l~kUJV%mpO+b+SH6!ap0-`--04m}y!LeB z*CJ>hgNa+OpTPOKtkBD-Oz@F~GlT0YHzSw#jAs}M%>U@;OyQdAfx>L53^EcgS|F>_H$j}X z!VGX3aB?8HrhS0L?!dV0`ef|4Dta&SW52yd@$Yy&)AcL5UI*uXln3>oV5sBz3q9AH z{IqYYFUOWRf0@)B{c688h|^?abl#P!41Mz4cxgP!@1EA+WQ~|dvn(FXCdvKAG ze(rBrJjVI6wN;S^mNyRZtH%k5M>PwDp6%{Pb^FzfxzO*9M8A5_d_4E)eP_~^ZN2Z7h8eZvMmMf^5L>LTZ3Ytenr9EwNX8rf%#)2m~HsZLT#;QpqImRkz$ zKOFtq{#mddRfNxS$HnD>G>`8tW4+t{#}+xx4-TgMe3KFJuvyc=Re{lnQx{tVe>JUK zkkhl<>CZ27dc$9=Uoa=p`OmBlJ#SQl=CS{+vEXasDG!C3BhRYay4lW0C&eHh-S#l` z8}HTCaTRE2T*<_FXH^G$5uNYiX#nC^&oT!(f4$=}`6vBA&zEXZtka7__bC38uMj`` z>Lm6J`>GN+>$V+=13IBvF7rZ|s=P#%g6^mkm?)fgAM zRgL)e?9tE{&IY}S{e*jh-SV2ABXVCszdR`koJEglo#^7PvWnst!Ztg zl85F+{DFN{Mh!#!)^{N|U-W9Si$^SsCBCu-)m1>@SjW}KYv3whBk0xfB>3>iE5x%O zMLg=;Ww_^y(kBoP|Em<{h2==Ze!_qL0ebVw2VC~Z5#i#Ocap)yWCL!R?r(#5n$mi) z$^KY(;??sNPOo%%=wGJ!|(3>Ypc1!2YI-o~3x|)B_jQUWFt6 zXD7)2)@X1YaCx%h_J?D{W73~@wx5FDp4v|QQdf+ZM`a%2^zuR^xENFrKDHP=FUZd6 z`$On=;Bsm#^lS><8%1(9aMQ2KNc3Bz0(|7H)i*uUd_{qi!Qh#zW4`paJ{YeZTy`wl z@6RCpxT46X99IeVJyog?#dG;B<~^;>TEVB40N3yHU|zTg`_1{VWwXH5k&o!tdUip- zVsCA#6ZHgK4Qn0a^!jhAL)9q-{yL;B&RMl$9(>rV_mrQQ{=HnkdiFc&x5IhFX@2s= zzAdip12@BZQ~UvKu}`X}&&lT_ojW4A?_Bs~rsr`p?8r65k$X4lM}KIKb!0O1N1bS| zLv&Be)SC96ds)GS-&@?TY~oAue~_Q*YN`%${v!Q(%`B(;kDfll7yXo|2tALE!@AQ) zSJ6D~YfJH4P4(ZtZgZ#S|E{I^8odsBm9!Z9Fq@PSdK=jm^QhSo#A!kzp%;H2rultb z8$Qb80rYBUFpX=;b@+%Z{m7?Ud7LBSLOxp8Yj46w4W38&k9a=8#Uo2pg`Oqlg^vv? zFao?8eSTs}3_u;S1HJk?&g#F!`m#@}W8S$5pX0bGKMnqJe>C)ZN5_ed^QrXQYWi-2 zo^^bl;J7|@kK*~Q0k}vk=9`$trQaCDBR5yWJesikh@T%_49@R=#JFr=zXeXuJB|a_ zwW=bY@^R_e@YzN8CEX#K^i_&!$4#NS(2J_ks83li824DwDH-vw=x*TZ*h!klzH#9E zo&;wF=8S^RqYlK6MG~*O2KncIl>ygX&V%z+L$SWt@T}mXz-6p2Suc5#XIebU_C!8K z^%WSeDiONOaXs)S=;e#msDC!}$}s46j|68v^u2^^m%W$c{M-T3_u2rxJzBkZVj7o^ zGhw_&4W)Gyc(#G#EL&}GKDQ#cN%E=VxW3Sd^ij_dr_J)AuH$B38^o#om(aZID!9qh z@h|i|%Vu^#{@I}IIA4q(Jr~=D?Vy+Zefs)60)N(oo>N3Nj(K6ebl>3IgXZz?+KUj+ zE7IGQ^t>iorY=N0CuYJ&=AK0BXtxhOzhyc80aq29kWc*6#ZJ!_{Y(0o-${S)BHg=Q zw*lwf2VuPYR6f)>H$%W}p_#--Y{R+6+D{^%mTSRv(5d0@-`bYuw@z+%LTZdqyUKg{z6@~>-ki+4UIr{{gwZob`y`Y|aBBB9UN40`QfipF)L zI>qmG4SMFA>!Q=?Z|<#d|5d%M(Ayrv(XWb&4+2kl0IpgFP&}iW4#)dG7KD!)&>7r* zn`gY^JmxoW>Gc%x=v^15!Y9LI@+m{(6@d%kZ^k_WXWKqqaypi@wy*myn{6Te?R@aD z!Do7+y>1cs^T>=e-bNuI;29cHJnc$>tERP-<7#UdxZc+saq{>OoI7GmR&Z9H(Y|dL zBmcHoJ8&~EisCPsc{<{$lJ5chg6Z=&vnpm4`0m}*@6*%Jvlp}GIWGSFg82Ev9N15c zc-$#5jk5;*!EMgxv_Ch_8{;@H>jN%#O~?Lb8*4m|%PY&kS^g}vA3jaSxooDKAnsEK z+-!P3*7@i>(cmU#GPsyDF5Gcjem&_6P9=UW5&M<=keBkXI~Vq0K5@)o&osR(Pu~l0 ze~b73bHt^eOpxzePSZ z4@1AEz%Q70?mHjPmD*N=kIXX!c~<+?aOY#s7DxT?jp@&)yI#iZuAfHzw!VaY-hS?{gX7mKYQXii^rwcNo)@qZ<)#}(Z%me`-AbM?`du83lkk@J*W;v`TOUb zuNd6W&;8f)CZb=HFB$pdr;}!akJ^oXS$8kWbAcZRJ0HGq8O1rYGWs>UYD3Rz8gT2O zX}?M=wAlHm%(RZopTA(dGSP$Tr{7%oo7j%v=KS5s&fkpR3(oiVrTjch#ClOf#)6CX zUn9@Fd_CMBWc(9w?H5Zv{SvXy%d6LkPoU3x&5(Xr*YeyIaFaO5HxhH{l6^j+>@C!R1%`iT8bpdns>mgnU}x1y`N^9qIH+ohN-jUi7Q7 zZblwV$UoqGuP^pV8QKh7##Y8U(k1EhG}St2t7n>zt#lB2Hf9O+yW`0(@b7vWT;!(j zRrUAPx+2cP>CcHZM$x=iS%URtd=`_>TY4_$-6|-j7o~cDtGB;Fucn-(&(mJ)BmdO9 z*xzia@?K6aSA2)M=RclS)=y8dR;KMF=Y@JR;wRE1hXueJAir&Aj`qyDX^ z0xsJ4VZE4T66;r=qw|-iEXTS~(>)~O%>DxYHf9|1$z!HhbACKgfa^?!X?@i`i}OYK z6PMrhgun7ygy&qjllFO4@i^AC&hsh6`7=rP4PCPm&Qtqap$O;CIvhfra^ec&DW~Eb z7i0X76DwtSl7qDNNLt(o#G z>Vf+=zXnjJ;_GTYC%cbRy)$Ldmo_>hY85YMhC zigVUYoEQ8D;N;VnSkCJaSbe#nb8>)p>vVe%v0Vdm7u48G2nbc{=p>W>UX@R6(9i$BA>DzrNZD zocB)#SCeR;mkke7zd2%QzK*wP@APcXC+Jm%H>d|2m}wpOry$aAy-0ajF%tD-!|8WB z(l`7n`rGp(?nRSm}8x1Ac7m==y1 zHka~H>OQ!Ps5t?=13jnc)121n>Z~|N^quvjUryg6*xuKb)3f6Tz-{C+(g#c$;JD^= zpR}8zXuSPO^nm}yYozxd1Frwt*VS=(`XRU|CBb>|Ke4~@qJ=PC_VOm?MXlZC;hCm4 z|DFIBEEm?bDEx}fg@W|EMe+MR)U!N1CCvHTyp7;5-|VJ3xj3_%^HKZhK45+Jfvc@4 zI4{(Qy`)bVN%7cbzd9ei^ftvaHWKmh8A0)gXJSFp)aljq``~d;Kz~-R7Kt zJj>;!YC0eDWGeLh_)_BQhKz^)dHO!EllEcp>|9@`mp(HQzbLmCAek5ho;sW@~O8I+zy*s7W!T_XuOklfSUq$2Y9CWn5(~oo2vA?CbR8HsN?KI z1UU2FhJH=160wep>lKh6c`pOT%V*tM4WIV|$^ZRqtS^=AIzAWT85)4A4p+d<^KqCL z-HhV2U+8m1e!RyB=VQy#y+yCR4ZYo9hdM4xDvXQA?+4c&QOLjQO6%0roDVMEt?%RX z>_`d3$$t1uKBqcvMVu!Vz{ga1O!*(4EjlqxE_${hKC%Gn&@B88>rRIDCLXs3dcEWr z=Ec5j0j_^f{~b=Y&I_H7OrI~CK<9`qHDrO~tl|vl<;voyL)G&BWb|8&?%}3M3E~|q z!k<-bK>9NR+~jJE`-$@D46ah?9M|4UM|h^$^VEiU0R2utzk3qoxVS>U-?ee8uy5-7NUI3B`V;R?>4?+V7dMKeP3}w{-sUsH8aW zZlm>;>NyJhINe8C*`o00`4S>L)AV|tK;5fpec;3Yy)oW#cDy&OheJ2856BfMze689 z7o25WjD14|-0b80#mDcl&&tvv@Hfwshr?&0!Sg(iI|6@E#=jYO0)6hr?^Z{gx{w*_ zd`z#Rw2x1GM(1OXzs5SwH2vPuOsQ_&`)y%wZ|H0JUcl?3b#acXlS#qQ&*}wk8Ya@X WzPm9JeBvx{`KT-HGXtxRP5d8(FYyfk literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/25.npy b/MP_Data/pose1/13/25.npy new file mode 100644 index 0000000000000000000000000000000000000000..eeb0fd9cb3c605c4bc42d5ece140e9252643339f GIT binary patch literal 13424 zcmeI2=U-Jvw1!6s8Y{-c9(6RfAcDOcMzAZQ*ehEE8wNxLK@mqm#fpfEqT*O%FK7}q zQ6^SmEU_!WII(w4>?QFs@8U1GU+?A1{+(yu{jN1@%AT_iDP4Q{b?cXpMX^aWgG0s* z9b2Fk?&&`Eb)a_iEy&T(MWVYVTi}xmPFa<5T-t4Nksguey)>C0s{rGidjuc5VJe zyBg?2?I~N(&ZM>Xr6!hNoW_lSEF5&`-SeGLG7}N%N={adio{$CtPyQ!rwj5e`P-0&(9r4 zJNta!A=@s-QM-7&7yXlGO6DMsk)Qr)+w~S|cZQZi{`~D2w6j}V{;=(8V_tj2z5Dh) zr+ol?#K;CmY`aPP7xfjMF4t|l@>qm+^Kjxa+pc@$#g7VqY}@%KWobN?y6?sP`?DWe zt~+{OMElG&PwbV=zj?*BbDyuE*WsVy>TE0c(zdHU2`6m3*fHJM&*EWas_W`zi0=eF z`P;U$_SYz0Vm7Wk?7LT1&uTq6W7{1z`cHiBc*{eR(=7nt+EqCBPc4Z6l z(y6m?KVMbtJleAZsqVEFA-)sR8~L#E8=l*CCule2o%1jHuZJ*--(=`%+b$BZT27q{GUxvK>9PNm-P5oKN1LjTwWT!?8`t&eJU82&Qo27H8)7sLqT?FU70{twP z>sCWAyf$3I{R@YU&a`}MHpMNy0-TjgA7;5|6-NGdPLjT3S;um-w=?kupTb}IcWiF` zSdTK`;z0!RWc{{be^3Jxs6I!!VV&}io!VNxSnUnHOp2#GtJaLQTxRw`-Aq1z>TmR_ zHI|zlr@{H~O2qf=n+M*M>Zx0t!Ti_Ho5o~X|3^;|SGKE8^D1Qr=9_cp2HpFFy^=qXTDHy$n4^`jt1q&794%Eq8pklfIHG?eAj} zry-vzUBG4g%QWA9b_oD)|A>5iU1+^u+KP3mqppFg?V;$Gntx%9)$0q7sXhZ%(s-q{ z@9b@PV4i~>XhfY;#f!8Z94L2`}*U# zCs)>AZ2fgWF#P3+3ed|kTd*FTCB?vb=sxlZ-&ha+eJXJh%1^MK^;U%k08sP2BFY9W&Pl<*Q8=z@vhfUA9?L}==E@)M5`C4PlAip zdHZVNDcG;n?I3U+y7ruRu1*hlgScwIVXEia0`OtIXUExg6TT99Q|0b?`&sUYo@)J_ z+N4*P2BDs!ent%ZO3sE4XRpX-QA`SaJl`OH^K2UCx#)E|89v_}rGA~<4=&%w&$FD* zS_#gh9)q*i2c}!DKdu8;eTJb9!rd3^&XoHWTx7IIJx$SX2UKsqzx}sFW5G`YL~b8&2z2XH`a?rnKuV zZ=3Iy>rus~f~$UO$^Yd0oVz~bZCvsDF`ECnDE2X((?1+Mz8}Rs^&VXO zu#CoKdk*z?!;tgdw!R4krM>D|6=>ascf)?ALaX+&KC(tXa4~fV){7{a5A_#SV=14e zRWVQ4vK%~To#UOr*_dw7n|gm@9}o{JgY#m$5tj|SfcfTR{R4kCygt^u<64f!YoJ5< zw5y8eAlLmuZJwsYHRNxe=R+OX&;g0)M_en)=j>W~UdR6JST2ebg^#?@30&WA5^1^g z2%|hFEQ7z;m4x}==tS~)lu7lBju)JZxV&x}eeWqfa|hyHZwkGN35Jj3 z6&_|eyS#z;+Q-PB2Ng@VaoNfU#AWX3G;c31Sz`6P*BEfVysE+dFT1S9b=CyLRpUNI z{?3w(>nzt(%0ur2Ud4JhKb1)b|7SGxqEP|lVV+5WhicJK z`12jVEXlO_oT*23^KFbeh}Mf^EmsegQ9hoXsQ#?ZV)%4gK=tgNg}D6e{6UtpGMV5? z5*N?9`&uqHM#10N6odTr&~p*iUwhI#VQ$q>XZgvC6stGhdFTJ+7s%h7s}={J0$%XZ zv$lhauxqp~HeRNB7LEaT{5CFwz7g&7=FEKT1Nysn*avv!{&eSCJ2> z&aN5gm&_m2!E&e4=M*<`9&wi+11%S?J;24bD60Pt#YS6h`fsFh5e=z6 zi1<4J?##;yvYdI+I^u!*;UfclHd?NVhm-#1KGMg&NB(L>Wz>gF%6q>QeG2C{-I&g4 zy3}fnm-4NQdg{*?p1LMN0-&|nxbZS;1{ncP__11R=`qknV@z;mI<-$+8*tpKuv|i-oP^>!C9uiRUpzbdJHu;r$C8u27e^F05{Wa}fd`q4aTu$SgZ=k&govma+dFLgG!ZoFou z_2Es@Xxux7(|mpvyv}l+P5tFH%VGXApNlv@=mGS7M?LZd7u#CTu>RuhNy_Kw3|cS6 zzCxW@xnIGZa@pWcpW@K#M?X?NuZE((%BR5u_^h7?&d*dPf4@QC=D*3L|5yp!ypM>s zdgV&zMmeek`Ohd2V>y3F^IUh|h4YNb8Hn=$+gl&=hgBSo{^}z6CVS`VO`jz4?_ZJX zxzG*yi{K#2=j9uWyFM4z#`>Gp-r#CtNsJ4tIJUR-;nV2*1v}+}eB{zbi0jmEinu)O z3G$K0;_=*ZilHBmaR+aUg#Y9& z;Hqd5aOdXl=$HQMIpzPMEb#^-##+5nCBRiG$M`zMK8ASba{d{Oi2S+szvozAj?)O^&f_jDv0McuAy1u5@1xlL1oD6MEA+UD|DCiO?<#jyZXa2bFr>P--Ark1{gmPa)#ZPpEN4|xkf;2f zey31NmtmbcD+4J17UaXLM&kU#*H!~JtuB)P$AK-8Pf1tOx5>u(a?-aXc<0*dL4l}` zI<^V@)o-$>K22Ic&u?tUJQqR<|ag7cP7Yg=x5^#+&8Pm!nI5Dh&q?~gpi*K25ft?RJU`paJ> z^jZzfoBs##d~u$y1!uRqL(kk?Xq_IT@7F5vEsbOCh8P!}LeCLXzbSmgiNKXMA6DQP zHQf0rVY3pS$-Az^(=2)?+he<<~8jn5q|Jd zN4`aW#ed<0iNBCcy2F~tm1!pIQW1gt5{AgT0gn-MhgCeYt_}~RD z3$!DB?3gj&MXF=}F;8-69D7Ynv;L;A&u!bTLG)< ze?YGb6}f=>-2dHRudMI)(Ced-6gO<@ShPF$!THj>{&xK=%5t%>JjI>W8+v^sCk{NZ zH~A;rr}-RlWDb0GCQ?2T4*Bm{1%K1-0r|VVy=ZmJuSc-G^3A)!#n+!vzj)GM%gvN8 z$v^Nv=#6WK@z8Jd26tL;=z0Fi5`O73Ngvym;tmPLb4Lv*49+U#$37++wxv2(3jjAY z63Hht-+b#M&y~7^>*PJ)X3a{R$KFxhhEGnDGkWD)i^S^OK!Pj+)1ILlX<_Pu_Icu&HX{syjtz5y4P#>Bz@ zzqzFUY(BWNyY>vrMgHyJ>i9x%)u3^V<>uQ`REI64v2TlUKacXZ`GmKIo|n0Sb*CTn zS`B}H;_6vDa1}jr4Sbf(raF8&72_h~{))Fg=I0rd=a=a;Z@)Vk2A}qu!9~&8@ZqQE zJ*1hm5nOg_2+p3|pgIgsg}-y;DD5Xj+GBiWclzB#htTgk&hC-Q`s>F;c z#lP$59Dbxe#T`cP&z;s)BjNY93g(YlwwT6!|8v?8@6)<4(T~wz`E4Ba_gxVDSw&B* zU*;2q@9%8f8;Z+UU>v1+A7=fz|8>$|Oa&Lur}eYkDK(n%aXo_dEY0&#VdhUwOa7o~Ni zuXaO!`HC3}Y(7r#QuvF;1HesU3Y}x89srj`M}uo$-#Dx1IkDins2l2Rj!T>$c+x{~ z=h;f=Wz?!*8<*9|0q3_f!C6GeK&Fnbn z+4dt?*XDueO!#k}K>mH{y{Os~igD+A!icx106o8Q1pYE^81Xx|kdG0E60DEow}bde zI;WYUw-8ru+6&G)WRd=~=LF|b4aGj-Fa=olK z=_gIXxJ$QtSYPHvI>qhVnAY9okrH{P4+LjDdec1VQWW!zP00i|jc#LqbG};Rhq&v@ zV&2M=4Us4R;w9E2tC|7592bT8pym|Eej;9Up!r|b|D1Pjex_UO0((_)UgXm|1nb4g z-hlPX{mX&#R_Rz5vO_h;#x)23p?s$0eGd&Rn{_akJ1O-0uUS`$)>rs`yzkZ9yrEZh z29y7qQTU$Ar;?uidIIZOEbfH*^GnQOW6351@tZijlR3fD1DSf6>|GG-9%SEZMyX4<%? z8SSfS@8ItQ zm(Q^N>N?GHanK+i7G1or)yuuKpNn&osh;zKzqMR+3_?CKCmBBSdw-gTF0&|Z(^oW~ z+2@N9*VL!D2cN*l*`I;9vg=6b#duf5Ro4S1+k9jIjjw3F89t(2^A*-dZ#_eG_|*^l zfRjEy-Rkv^XDOdEFThQ5*m}#=oF<4X{rkd)HCnUTa_21lpO&~k5bK?9|9!3HZ0;lY zs8zFQ{hJbc)S2fvsE_D%3_kLk&kI(h z7V=bu_ESD?6);}BS!$Hk>wpF1@0$0Xr`6JE%Vo_d(!ZnknQBjUjIS8*EBy70Y}A=w zevi29#(eS_Jd@^C{EP9{N6n?@1uyOg&TEc{u-wGoA^%PdNq->@dN!EOt72O#aM5{C zEcD(DsLoplf}3WQPzO~yKk6omJWc*2R+*$Pt;yOuX@!Ziv z4^GX@<;r_D@x=4AUaGyu{x6o&xm^w_2)%jS3eOQIdlCH2MlX7wqXSdnf3H9B%p2e` ze=Dpn{(+v4;?W|Emn?U;o7L-Lw7wGh= zAl}&~lxNfz6u0?o`0I~7l59IaPwPn4K1BU$T^Z|0Wzl%4&rcw(C}ZL>bM>tBGWd&K zPr;qve?oo4u=NyokO$VO?mh?45f!`>TrHmn?iB3~y;*UD^rv2uzRBK^@IOZ9NwzKp z{?fPZ5X;5fZ0KeC1gZn8=vZ#f-2*qLM^HY)8xOWz52NR!-h7M3(fvgZo`V@DQ3pM# zIM%feNkbikY6>59@fPO4lbo7heViY^0e4E#|6TAxUkvchY-TG8SBX6G8jZ7boW1xcbT}$}{C5e4M*3*sqLh7v#fRH%0wr z{e&sjUq7XN$=UKW+kO^z+)+=bKo#g&lZVh7c?8c#eW4%mNjss}&+8Ag_o)rEuZqY7 z)LGUG5y)ruJm}T;>%i5ZO>v0RpY|W)-v#s2_!JMZdexTxZ`j;8fPV3*o){N#D;7Rx zPcqG)r^WDmcjmMO*Nu9jzijQb1mx3{p8G=5|2?vfm8K!CSKf2ke+Tkmg#(r4eC1~N zh!y=Yjx2-DW2|#+>?e9)8H}UzFnJ^V-8(@qA9e$07gO;5lMkWuGiL_l#d}`Dc~2%w zjEi*HfV%OS^_FGYdRM3Or|3%SQ8rFVwp=wFMdKLM5qigKe!AtX&Jb{szZuQLN=+(T zZbs3%<83cvA2t=d11y&>Uz1O}3~)BPt2_AehEzAVUEt1$%_F>X^-j1$b-0@6^CTPN zrEbguHxqXuu1c$tV)g1k9n^<^@e%7tdfnb+x&AMVeA+Am7nL&cUPxrM0+)3zgX`n{ zFfMA}8>-LC$HYDO1nVOj(R(Vf=sGyNzh{i)dS-bvKWIhePPjqXnM`E5-v+h6sb&Y65L zz4y}(&W721RC*g4m%5P{UlDj^rq#^HO#E0sFREPwz2! z=LB%}oME5mUzCZkKCI9va8WJ^dVZuZ_7i@Q{%>1kNbK9D*`dicj??!)==Hl4?9Wn; z@UuRmr61+<;Ww-!mVe?z%Vkv$^o#%0kMiluW>_Cpx;XJLdXJ}PEQP=NrxCbte}jEM zcWxGdxJzjLu(k_m-`E@-YW+-ZF$mtcr1yndW!^?J?e^VWw=A41R5cwVy?_d%)(f;G#Er0G{Hd-~a#s literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/26.npy b/MP_Data/pose1/13/26.npy new file mode 100644 index 0000000000000000000000000000000000000000..6de91d8fe1099b889fd5a1eacd91aa59221706b4 GIT binary patch literal 13424 zcmeI2=U-Mww6@1?>@D`_B#0#%dq-t#vBlmi1EOFBk)~Ki1;vVjidb;$n20^Ghp}K6 zV?#yJZPyq(#uoK3_u~Br-mmBIW&fUQ?tQPd*VO$y#B}N1xm*8iESQB=@g6pQXh4;w zyh^j-jjPn)RfhWo1O|AH_3#Vu9%lK^o}wTtJU(9W~B zLc1vUh}z3gyY}{ZVDA(CywEPsJwQAEp4w$nSHx$R+o9e0T7la8XWhU3)?ItQ{B<0~ z-(DW=!iU<;go$WZO;=O9s)%+ugWA=`Y!B`ItmJoiKGm_#MVr5H$!hn?M*cp@Xy-fE zAGPglY?l8od+yu&#qDA@?bVDKeap5x3DnL%6-WNOoFCfdnld+SyWWs>f5@XJxbHwW z_?Vgtj@fn<@)`A&eX`xQ?Xq49+jiNV?$@VBJVX1P($I^$+4tIZbK$RlEO-3t zUct51y65(4UM{?D+j;Fuq>q0ME{f)TYum;5=9Fz$EZni5oyp&$ZhTWy#AlyeU)y$P zP&(!JM>6@$+Vrp0o8P~t*mhkr@Rt27#{6~JUY%_d@7OEr9hPC+<)7PdpDwAP7t#KQH|j22qf_mD+@&w_F<$9!Y`cE4i{dwbg6DTwcHGY*7M`>1s-!#BE8*r< zd%roi7V*uE!LMyQi=+F^oc)h&JKva+VXwM)%of|OoD^k0n`<)=mtQ%Hb`v>K}-K z)f{_eku`9?DzWmj{j4AK+>w-d6*+vX+t2*hDY&0K-;H*s?W;Yw@3%XZ?bVEDxL@u& zm0e_h)^A_muw19_c-bQJYHq*5{pydD>>~3s>l=e{h* zd%q0&=ALaAt6t-NvAQeT*{g5RFHW-$S8O{kSNIX~$ngQ~CcWjlB+K9Ac!qZO52zbo zR5_=}tJ8ipZdI;?feTLSVY+o?X%#+9!R_{zMLO!MY!ACx3$d6sjL2)~TU$_49)e-nB@4GbLGNz&5 zo!T7!dQTsk$0arqf7v_G-lx@Hw7#sUm})WtKwxka7(K7>42YvCuBFoLMb%`HNB;K+J`J5p=TY41S@pK}gPisieJN+{_ zPw6y52i=StpKKg8icDH$MdWSl* zw0yLlj_Fk8IwekzvHs56G;ry%5?mkq>|;3(A4|NzIpQs5d0MW%bOP5C z^TJ;>9R8E_mn%yV4-2628SXXBavnYd`G{rRFwdMpN*%2KL zUgj(1QZ5$9~xN^wZ0Wt-lWPCjTSlpqEcRWB&511;P1&ec(=>2F(wt(kc3cWtj4RsK1YN7SfIgWv=_kP4Lq=B;qLn!WtuJ93a z3%9d+`8Eh#e&2|A;s-Cw`QwG$jI;efF-tccc3VL>z)(74u8ta=}mX7-90vDiX z@oTaEi0bFS*=$-@^}fHcUdb*)sm^uQTy(e3-|>Qv^%n<@BCgq(3qB&S_hj2HFRy}L z<$8F@e&!Fqp>Y^adbxHm)w9*kP}}Z!&Y`;1eM>$$YR14P@*VOQZ6j!2l-ar{$@< z-9+L+aC1e>x7@_6gq|OJPWn3IBA|c09^7&9MV;BlhL~S!S5|%AwL?9n=j8rY?;M{- z`V-W@+%1IG;bRlPO-5zv-$GANXLfWuxad_3{%Rpxj(ocQ4z7d$MLy20Yg6IhIF0n_ z_rc}ntKrDAO-`);>g6TU7a5CwVe4q!FuNnMFNkehgRNdY%nrSo_zwB-4lQWhy3zj2 zj;#P^6=$L!oq<{Va+~(xDxoy=Qc+xftPr@#_j)Gs|G16vJmLy2X5XBQJnL-+XP26j zf9?vj&$_Ip=XDtk&RZv=-<^S3r(WiI&h76`|adE zD?5#=UDWR;b~Ewkc`$y&{S@ep_abmT-35A)rwq7rX)>L2e5VJZKB>ns{&lWGSjTk3 z3x449`$Mn8J`+z_PUnHr=`{XVdSJd7_qZu|-go8T!}@lm^{PQ?f9u0z`V;T&iTT3Y zg`)ndMi@O;@(*-=STbUi)ry{tbwOY6Uw^9uQ}cHc_N#K zk8+6t7agNfXXTQ$4h-2x&%6H<)>||15RK>fTa>?hn?*LR`FIUn-Ruax7*}*E_#2w< zETt318!!5FwT-JY22y>BZ$qB?{(q>C>g+~7a~dNbr{TFo>%)rrQl2a7P(A&_{jHB# z*#q3kmKXl==A1Cgoyj$+K40UI54+}%e4JmVK(7M_(74?gk9j8!%%ix);^_VQ`qXVU zuBg!jda-#JJy%q#F_z1l8^QUs7sy|BEF6!xC&y9Tm{qr}&iS%;slA%r{^0z~_m2In z8_G3kFCL1x><7xY^qK1{=DRreQ#^cnjG;W|=0ZN&`|nkj^HDTk%*1&3 zvsVMh!{-I9hfe2VsE=v#`_iOLy-2M?&$YD?>X5nrOtM_{UJifb(h+sm75`goeay0j z^jz&vA+Eak<3P)G-z0D~gE+sstvU3*w7-k86Oq4~RCJv6H$F5@gkL54p5pBD7^`P} z9#X$>dJmNsiqQCZSQA{0OvH1^@kO9lsaL5!J6o3#L({}?dXa@OuAjpcNKy|B9AKY|YH4pmu+?0PVM*h8~(|bghRK%5+ZsYtQ`J?tp*8itXluyika9#OJ zXUj#$38bG=5I#=ZKGm&1|7S2b8`%9hy_e9jxJpS;N|=uOCVa5Je0_62pA<_mv0mg+V{V*ZMosnF~6G8q4CP&Cf-rW?KQ z$oMwkrqJgI#C=KMOX%QPq))gu%W_$az8_G#(!jMj1ig9t2l+Smrsq908|Ns;dmi!M zIQ0DZHsVJnfwR38!JQ!|Lae{JLFYzUx+u6hFoW zT|vLI0p6>?dmjRKHha^$7we66(u6+)7n`&8oyF5*k^fUVU#Xj?u>PB$~}gSE>pwj=rY28KuE>wK9RN zCFULX3qU`zXY~EGx|RUFIMu9^)w4ZYP&cR7F6iZ3S6YWRMd&@wg!!Z2)xRx$pzG*70OQcvnYPq&r!jq>Bkx5+FY_LR zzv_P)dVchG=uM$2>#W|yJw!gNOKWg`deN|?Os?wCzNyaDM?Z?fuaUnI%j`g|Hl zxJn5mzSysk&BvKtA9di>YJu~}Kk8d90{ak8dP(a*rAX+-qOQnO zrE28K7rAY>an)Hx`T;|-`i1r>=fgU1nMmhezPCUu;vP!|ck0piFwVnT=odNVKJjZ! zs2?}>T4nV*`*Cm+P@Mcv6#-Yti@??6NN{J#=y}LLFMU7eJZ=llniN`XIXn3VdgkE? zu3taJdcqSsgX^4rcwSv(0Oqyv_5&9OqQT|0g|zQKoDS~f-AeU2a~3s^*5cTEw_0(^;$l_eLZ&4xVr8!+kV#f zT0?KDRYm^tRX17>r~djofD=zpBJT_(kj@-ef_7{VeAnAfJrWl;?uU%Pbd$ zf$LCu@0J_<`X$*sXZzr}Wa?|I&#G~=MV70zUf?EVDXn`$U(B`KslFauf6Wgr?z!PS zto}X??p$;SSN-=*wtD6{kNgWP1lMU-BH-_z2+sR12In0DLM_*UC6K3VS_eZsnl;;og;3L;e#5q%>Y$D#SAvjA+#XMC(OX1JYAIEwka`#r&-xRF}J@=#E zcbLZr4gWC(pcf0OQ9eJbF_xS8y(rI^M&Rb_5>NO%i3c~Q^Ifu^S<=YW_R8b3erI|2 znDpDL&9pwugd?tr?}&bPwxCT>1@qRhND*&~v6@TqcW2oQL_x zQ_%BQcQ069v*I6G56{e?I-k6OdWxI}7TR{_4H*M&K2OJd zaoi_?iv~qeXD4S)w0q~EXOg`O{F|Wnb8#HdO2ZQS`qrlaivgmj5X$GvI-9ujW-NTy`FX{m$_{4sL$W`aZnUfC7E2|gz2Z763{lIzX7wGw| zKZyrE#QLVo^y^~v&dpL7w<>=_{YlWBOjhf z->>qJolDT}Jqr1#v#p_5tA+x*}&K8u_6w>~@vo%h(*si>zZQ5X9o8{>&O=sy?1N9JgV zaj3>-?NdLzM_f^`@Dl684%Mc(?VrI%cm5r5#d%-Kvu zXeIKgeGYNu^Ydr?%?3Fdrgc7o>&9QkH@0Ua>Y2*N47f#A8|36@*j8-=PuEe&aviM3vk|j;4MZ(Pr?_nwK(D6FLLGS7>4EUSPX8AtQ-1+B@o)VtcTPMY{}1(u4=D`2 zT1Mwp=G7dW`M(TLRsMs(#hWM7E!Wj(Jcv%N$Vc7kw$*YK@)PN^UxePd6d7ST zJ7o~pM3%+ABg;ojOR{|FY;ZZ_3hFQZdcM$d{$JL)edjmO^CQKvFF2i|;m=prM4eUI zvRLcSr}YDu!|#AQr$aHn%n!6bIyD!gzZ~x!y{ulT&(O2_uP`2DrBYkqb7(yB5ff;< zsrzLyew=Mt?|pk`UBmr8ttrnu#VGE(NchXRi&3`Syr6j`CeZI$@}4W^k#VK|Vs}p? zE^})L|C!$_qoICS|4z@lrup;S4KBa#Ax@kP}acDf7k2|1e zv23vAa!*<4dG(p7v&gZtsrBJQX#L@*Hh`ON3r@9qaVhKESn3yyPmz1jP^)K&3z5Hw zO~P|YRRjGZFHMBMnXm}?hzgUjzw7y}!Nngv@x1&**9hyc&-sG0{3FpX&YLM%AH*2i zmsRa;$cJZ))>hAs()odH8$kVdF#+?G)vJbe*a<61^F2o6djM6o1N@b14{$XxL%LtlD-RI_)28~(gL^#9gF{-(wbaGkLa z?{V^g2e>>$&iG(Tw6Ax(Y5%2=oj4KzXw0=ip}l-@(vF)44^sJLKPOg1_au-Za#~>6k?Rhi{|) ziqkyh`IdvLBlPHT-$PX8ghtdC<>z(=`0N1e@2ZRwmmu`{?SUmD|3>E@Vs z#@7>E-}#gJ>-HP;i@DqmoL|j)uZ)_!GAYxaHKzVjX_ujAjh3yjT<4;FmVb7^ICQR- zjgFi+W?cij8%#&dabpcu#T05;tR)K(8)xtS9_7{ol4ZI2Y@-JnJ>p#t|9+ z!H4-Rrv10($4bbjL0ja*8y%*3^dcY_+@&g>OON&>|A?>%>%-O*0T;cZ;bUAvu^yUB zZp5q8_jvrbRzncC;skL1Yzo#5bFht<^>=#xciFb9c4y(w2DHL{>a33ecW#wM{_IJL zuzK@;9XMM#3VHGye11oS2i}5O{h9>P~d=o zs{iFxfAwit)sQ&yo_GNj`xaKUzJjSmL5>=SMmqZZ-ANHOpm%2`Ts-Klr_ESG9K1b-8@dzi|!6 z_58Q}S8O{=>4?1Z)cH5;bz-h3;*pP!y+ga(Uh2R2A&lR7kPX+X&GNi$muaqu*LiX0 zCa!P19{r2zo!;Vlvj^A97keMuc4zK|_xSYli?!|AH%{8`W`v}EHzlE+ZEn8Za_&@^ zjZgn-xZaeE%CO(H|A<}jnV)RR)9UuS2po^=d6zxZKBdtTqIq zVLuliyMyZvj(FYFe!uk`*Q<-?(XN|N9jQ9=?%H-yq#^p(VV*fe=69#)H>$JBJ5z1D zZuOMuak4)o}>R9Z;&@OxpGeHFT(Tf zvF+ybc*Lit)ucQJa`>`4?-$v2N0$WW*Iy^w{`BnlweZbX8r)1?fN{#n^++Fd4(r5B zOvgGiJ|k8_A76y@%RJzt(mzC7u3zT_SGyzpnACJGTL6JJuj2K7{6h^iw4cZt)A6O1lMOhuzuvHk@LZmqQKdWH-(Q~Zcxzrro@puBxdc2+q9@G+CE*kZhd!~+kiWy_M zDpdwt=Mb0|-H<8hTR)~eB)0}h2)^qzR#Jm03*mCxGKIy&Oz}cpH?W~Xf+8kUyevbLlH|LDCT-2>d@szwq^INqJ z^gJROdi8BR=21n?7-s!N)E#jBcm=rABg_}P{0QQSN#N3TQ9tmA4&cl!5A|E?5Z1Bu zD+%tz22lJ%T&LQ2ct8lnGr9|{Q{Si-ma7l}y?io_;{2ul1k23_Pvp%U=mH;ca8NY# z4=z$Z@BB>uOG?ePoE4{hnj05T|K@$jxOnTo;x+X8EAh|d zdElPANq;;DdY&f_)nULKaIy3fxKqq0%z~!Tjvn|)Hx06rLJhZSn`u3|b-}#wm7l5KUJD9X ze^LHA^iH6Hzl^zy`d0yCNH6|Eo%6Kd5bMtuRsok~s~}E(uE1E!*)be*Fu9Yq6hryZ8py$Gj>F&TjWYKK1=5Zn-n?Ec``1H{wYR zV$n~)66j4@d*s1!30YwEe0~D;duu4I-@=A?@2vdH?gk$j?Ap=l_1Uq|^RWMdi>;#v zS}sa6%0so2$b)|07hF#BgI*`LgTLCn9(5&i{{_7`a~XQ!Ov3)74_pA(Z)jh2+8@P! zB{~eEd^U`^V#niXe;@SQ=p@FgyM6~BHm>6&+pZ$lkX}B%YQM9wN2fx6C;@t>c3^MWMSx$R^DVnM4Rx*_ompsoSj0(;OQjwH7ak#V;UB#U+*$Mr zTn8KrwcL2efXhAukO#A;1=gKe=ui0>-yZp7>lXI5dcJHL>62)FomEv)KYHbO(ig4{ zJwN799!Bi~H$N7DKaa>*4xhGvg7by{Q2g$VCF1OO2VCr@_3MoN332kkT(m!Iy#l>+ zJQnj}+R(nCJ!a#+AUakEvOdnK9MH2P>4?X<>xa7KUUdI8!BG@v`JI?YHIF#+XhZtM z=Fp2c>X)r51TG4eo?-pjyPb$rudNEMj(bnGTvgpd@f*6|={5JEZ-drd}{tG71Ip_1j(Y9ab{%O>|nNa}y7<=n768usx==sG@#Mf@d zyqLT9FoTlRTW_ zIk^=6;)_B(aKBmLtjJ-yFPtyEBHsF!k4D~vUnuo^VeKO8qe2S7Ukw@o&hI_LJ|nt# z6Hi@2`o;I!Bc9c#h*#+fZl?6^Vg2P&+W(!2uMiKPTEnqi_iToE&;9X}vH=6+-N$PP^qkD48`&H6jL2Sd*v{X*QQ7wV9G=n8J``t2})<~M4|Fw0f! zMsS((gz~?Pt+xG&=A+Or>$w(nD+lyj0-rTm=fFXg==}DZ%Ua8I$6y-owET!)r4L^Z zeMo8eNOc$M-3&dq3i`prp*PdMqj**v16NOJKUZmM;Lodf53qWZM*E>W)(8IL<(?(+ zmXEH3_|*^fXdcrpOtf6PuB3QMb)Y;KxfF?h2P~v`YM-HgkNo`y{OfCQRgk!PdZvlx ztSsH%P5nuT-$_0*%KAGlR3|E^3gtO@V}#Yq2Y(|T{nH1;uUCDC`f=j_L;TzhaM}1z zS{KW1pkKX?o_n1;qn2AAy@<}A=K6fv2d1UdKCs&}4RK{X=bHT6#^d|sXXN9y3*(YO zhgw)J@)e_g+lSM5*FN&L+)1E#*oZOU{2up%&-Km7n|fc5^r!oT!>4Q>`0(yuaZcbH znq!@cG>Tu%zYne___dC={U&duJo`N$edBK(EZ48H-Y<150Do3@Q4Q-ar}lxKmlNP} zNXvefb4lxn`yPQ0^ZK^Ya#ms_`6nEJUi>qf;&}%x+t7jR>;JT?h^t^LAe9YmS;7+TPh{uVXgmb?6BZ=ZE>q2$w za%6#xQi+=}!tJFeamOHuVxtn)AL3I-Sq`mEz?#@DzH%B55%rpSKkcf_ln)}MKWklGcT;6NdP2(R&H`X(qTnUl4iL$Inol zGie{-d(uOp@4XLPx%ptcW?!Ws%e6BXTxV2(4!_~CUQ+pjM730#c7Nb^3iq`2!%dzfs&10BflhzrWeceL$oe^hSSiO9@ zjq)~ech>$NihYa-YW%zEa$(|`*r7e0OnmjTj^st z%l{thOIB`(d3O$nFF`!s^gc(1E{0xjaGwUB>RHdNOAbJ9uDpx3T!ufQc-&fmGuK3) z_)Koj(>c>ATASwaZ8G8)bLjl9D*cOb$+lxxT0L(|=LZ>HllHx;btA#s(Q}i2ISYCd zUPW21o;JXE)!J~>r&xak=PSO=P&}=?z|C}j%%kcb32wghBYvsLIP2r+Zs20g9B}@u zIr1+ODwEICYv9^Fxuw;M^0~pCv}CL=*^y6o&*aR@K|amKSd3S^n7ht$+2&X1<>Vc- zep7!L3;mj4aOFqq#d-LHW4StYjQlI?ruFh^{P*#h+I1y?WsC zI;|rWJ<`o`R=6iPum6(b9I(Bv<@#J_#HsGbAWpNh;!gKWt}0B0-lX(G{&|<zd9)|xUR4W zK5EBwT1Q;s{jJG(MZB~-xW18R4Sb^CgPYu5;Of&8#KWs}0v8kfFrVsV`{WVvhBRJ2Wftm6<|zdq*{cWie3j=Et5-|9gPUQG5s&&l zC(cpk^bGijoqeDeM^eeZ>l1LkiQc#93O<9-@7LX=UtAbIaz$y>t*KiE{yaJ3I&_sT zkG7w@R8w%h{%7dTWgls|=@d%w%xZytS-x4g@323=1D6Bo{vy5OkbkG02l-TE4X=>@MOLvejCv*Dl0m z=x^YBmuED5cFu&4NtlLtF>}jKw?3?M7<^2?O4^rhR~&BjV$l}zKQo=yb@)K+18mDC za6P^z^_x2ec~I{o$$!xa>IG5UQ+4(g@g{~|y1&dnN#NBQi>zO9dR zBYvO}xV%4ffQ?hOS_Q6O6}oD_JGoA*0Z*@wcvP>aqCo#h%W2*{1?pCe`HSMIxCC4!%<66XRl|oO9(L&zt@kA|81bBpC4HMj^lK{h zL0uV6b)w$&!g!sLd8O@Fp4|hz{OJmOMAW8fmaE5!37PV_%OK5N^9ivka6UJ}+puNqcEzaqHz0_&%b$Ag}mDp`6zG}dIWjqN6sv@dOmI~`4=I* z+UY;q^2`T9a22@>KC0J2X}NjgMLrj{kpH~aVU|lp>q~lf#ko;6*c$+!Ym>>pz)7rY zIV&A{T{0M4_V5E&1#4m6MU4^UpFqz${Onxl%>y5B(U#s1>yUZVt-lW10nSgvAs)x4 zDf)Gi_mhA7)8IOGChm8v>1onedO`937(CAUIH#|XzExSo;~a589<j98p{}kdQgjRQ9ft2hF(tYa>eS{?~73Xveqx)&J$l+FZXhdv+Yi+lHf|L z#k$bxXZzTGb%nQx$M}RIpQ3irDpqg)72s@CNm|#BH_owo*@U==>kEIA*cs2cro(Sp z<2r|R?OZI5c@e>M-jJWF(fzbzvoPz=x}88gV#j)LF)4Mi<)W@1e006vz@7N7W1v46 zOyl*ggZ-1~iF8gV-IwA#-W>Uq*_Vt*oG0kMrcU)l-ki4Mu#VKg4D$K-iTZu^WtH{U zTQ`840Qw!-EN?U)++#4fGi4(DO={1nh$kZlxJaEw{k{yq`GgIodR8BMf~&dDalhb6 z5^>5(^!{0GR@rTwY*le^5gtkT*)SKs2kDu)P`5hG1NER(=P28+$g`gMb)$0*yO4~1 zQhlS}{Y45rr>Kja*I0j(eGdFhlP2(SemsQxxE}l?{GDsdkWY212d;BeDogKuZUM`?{N%cn^vL1Aw5-r|P{14tlBAzC{pkI~y z6@1L8o#>YxrTv+|%R&7vpEb$Gqi@mt@=$s%U_(nqq2G)o^eZ>e?_bWhEvv1btv^rs z34DioX0D@SESFwx=$F6miFo9$En6&C8^1yCWb?v$*Z%j`Sa9i^eDpzjf8so@G#>icr_^t=8?;|V9jycZIp0y9-!4X;MXeCZ z&)fv)d9KrlU)}N!u|B4C7xZh!yMyZjuFEWU)Evq~lRI?3h^vV>MIzO?*jI|`R{k^A z>Y3Mk_zR!H;Hq~@F#Jc30XIHb?=wUH!2BwG3jX@fJIJ$WSZXx3Z>@>y5f z2d3-;*EKs(eimIFW%auK-{5kh8@Q_ed9>yHQBfM#`Cq}snv{u_J8NrGzp?Z@E;sf^ z9`w|&G~N^!#G{M)Z?}52%oSWEU!r*WehRgmtv-f+MW^C-(cjvzsqvXuADK-&&tpDUXo{8Q%~- zj!Z?J^C!X6tq+^q6r2yFzq>FCF5y0|y3lz*@k5mV3(W(qKWm$H&dendkBr#R!}{>^JhG9QcwHDFe6=bX?|9_vthYbzJe#OGtAs*4UKF!yJ64Lss3AFBX|L3R& zSudow_1DoqQ{Lv%--)TP{ur-$-;;duZ-<_j8{WtI@U^9h$4|xnDN0OfV10O9+JBsp z(cn(;u2ZbuDMQZ%`f7XBr-&Uj(CSsYg@|82I)HJBBcD)LY{q!UqHs&toizTk7=kYRh&X*V0AaCZ`_siom z^)j61OCP7-m-)Cc3oRFShSL0QZw@^>#EUx>W^<&N4opV&6e{Nf9OTt2yi*_+Z@Z~zm37!;p@bcmSA2?2a1z7eGaZl zhX+}`C`0EKvG*Rhu2UNK3;v1DV_Y5v7cZV8eqM~$sqC_p_+>s2ahByYkFWm)ckcJw zW4XB&MR|Vqkmluu3q6n5?*z`r{D3-S!^&XYIUD*@K5zaBy&8L;=A}?ua3!;zD_uuM z#b^5K5&g)gK-PW4d-_Vtd7%a1qUKMiLm83>&#kI8y>Btyh->dw@Yk*B?>yy{CbYgn zd*OVda(Yrc%jrHYYJ3c`<8l^d?PGU4W4yB1Z@*hEztA~T?h6EGvGeeLMn7tXd6Csd z)Be`Iqq=X-%WyXo)jwcld!%%=bU_kS=0{Lo?4haUaU16v>5w@HZodvNEqJMDM< zx2IZe9=8}1Z`=Ei1lL1CYAd4#D|&AkBvCg=i0FezbP`!Ykb_vPvP9cu$t*&w z-l8)W(N_zrdvjlR{(|?{_suWo^L*zz*W7c@J#*$fc^0?t=H0PZ1}E5=SjpEfXi#9K zhN4nq|N51xiAw$>1IGjo2=Eyh=<7$k)qoK}erY^t$beCPX`d_Cs#mXewJO!bWbwcK z%kDUisPNw%&$O#do^+Y6cG&yd33UDI%QO0HKF+^OS8=RzGF|ogHU5>w2lY2*R#B)cISsx$EaOYQWl>BDj;v>NF(k)I`>OzSC?<#ez)9M zTy637Z%A*R6+eykAFCj4x5$|b#9ck{HeH<`yQNaQjo!xnk8FkhMTU8}U$;GQj@sq@ z`keRf3zF$R8`ul+$e>?eQM(S>iThQ-RXqN{47guL2A!mK)w?9(b&p=XMEA>l>(IX) z^utSPmxAvXhqgVSb}{%=DqY=-RX0<+E%d9#=Z}-oubTZg+GSLRt;A)IB6H{}E>y(* z>O;&Y`s_3uv^^p1q90AEiuMn|xL+^Z&h1MgcN3RS8dt=1{M-9%Vy*<#s^y~RGwY#COxxK=mf2iH=xr6(i z-rn5aVE+yD8(-=o+JDQ6{>AmTXg8moxP-L(#I|uysNFnxguIC^kR{_dq>~`1Q>ttu z>&o^iG#mY%kl^l_2yheYI~P1_3-;M^pY`*1!{6Q565O5~b<2}{hqM|?dR>6mi^$s? z^P+>^#uArVA7Z>tbX#z-veZ)IW=SX1g&8p$`Ela+xa22)f6MDuWyd^kBbg65#XPX?AmUh$D&Xm}SMZ;$3{h}%C; zgF9==fV&UZ&Lgf`ay~`-GpK)6`sDb8G;aQTj(*MBil`HlEi#h03U_$kXK-Dac`X(Y zx1-~sx8CES*EMf~yRGMPKGj)pmAOe6>BTSScw9H{vHz8zIq=WC6-|q>z<)VS)l z-)$y;m9m6=sp}}Y2Z^Fd$b*Sl=udich4U{>JNWChTd=>`_P03C?gi-Waf|)OzCXqJJe$6+KB$8I z)_C}V+r#V6VLYuf4<xLalB|ChaJJ}~uyR#{l^$i}MhkkWy)S+0;dUIm{@@b-5 zj-z%_Z7zK5;P>zm3z8z?Q|ukaE7pdh&gJ1P5eaE}8OwQ7Rrq;ne(gM;xHEPo=k15* z(7R2dW)fG4>%g7qe#nEPeA5>BG~KHAA-(x=I``WmeSUWz#y;#8n85xA z)6Y+J;`|U#HD13??mX;Y-C0gtJlh4mJ@+5t(aW-G=qq0XcN+8hb?ZC`CGKi|ZaUr1 zL$C4#VP5oP-Zz|;v+-PTs-F%fy~>^u`-#*1Kg6#ZH^g(tUCrEW8N=i9pMd9%IL=(J z_5yeFYd<9>~2Zg8jXoiOq@hqob4*|!q7DDr7CagpIyjz7?o^|@-`Ije8Svi{6Z z%(oXLY?mpWXWN`;m{R-iOzh^22(OukY|V zXZl1Q*N*aBCuORRK)<`%fy&q2MwV+i7^$MHK?GxGlY*T8V%a!C{TyC2u$IqRIO)t|WW$ORwA+Z$Xy zX%Yn9U?lWT=rVrJ-a3hTFy-bje|UiNIYlf_Nb_;7tVZ74S7GSay*`5Xjg`6Cf7dAH z#p;KUzna?*TosH4w=b&VJm91p;c@-c1zh*&*@OH|3h)2+;&a4f`(z$K++EiU@z}DF zoQGE)$g}9S9bBjG;c>l5#eQq<>_?pT*V~BSt#NG;#bfOia8sf^=O^11%)9$A1M1vd z^Wu7oyB>>v|L)8EMr=WxCZGtOcWzum&cmuEh(|Va2~EMM?5;I)fDnky*y>lf1+!<5>=Qo?b z+G^r@?l|=8e9npZb@m={#O;n^(2I&Uu@A@`i7TN$_!IPcbasv>H3-~h=k?+`tKqL# znLyI3{h5(}J!b&>f7rAnfp~mv#4n=jaUOc+n+%@3oa4Fa&Gm3{Q55+&najjx*E_!ITk33JGRfhh&4?ORQJgDTS z?C;?-5&EN#*(W}p^ErRFCvn-cAo_Jq%m+8Qmi8eo@>d5}ImUtOWuJ!I z=O_8XT;i%$79Q86FE}TtUS6$;yZ1PL9d!#_W;ot1f%y6Loab40!9{XFC-8sAgX=Z9 z;O`D!{08sU^ZK(st|_=()XRtb%}`!P^8Eq$=qeZ16IY$NKE;rI(5s!V5WhVykRP!t zALhk$*ol4B{5}rx>!3B@_IMdQ$7R8vIX@@spsv*8%8MyZ6~gBM+q)_IAcR#P5EpjCpaVoxpzLekl#T$Tk>U1~v?%_+?jq?^X>C^E^J=?nV8I z?fl+k@9_Jkn(*&0q!+iVz{gB$#CdDfa3Fj_W0#kvpq?z_^-^>Uk9SNdUcav|K`+`B=kx7ZN z`g8(%x6mxs`&|ns?z~O{cSc=fUOj0h;+(XH^#}a0&zRVg!Qd(Ln7=Lyy^Z|>ZoMXh z>q^YsL#0DVFMasj=tLEOUNt!gZueD#UbfhI!;|9pyBp2}ZZ{9im+%;d@jAYDv5w62 zMbJC`{Qah!*aCH8W)EVYZ{BkqHcG_#U#^hgZqWjm7yUl8GxekQb6x3|nGuh>=u!~k zeDyv0br!xvJZfgs2-3T4qTr)^p2OcgJrK`XReU-3dm#hY&$Q@%BXiMZpov34Tp*QLz zxV$yL1^JlE_u2o)afs6`^9}oyXf?pox1jjeKm5n(Q;W z2#?omz&OPD^$qCd_d%FvnpD^`&(K%)99kvV`>F<^t&5QA?mVHJeW-?sVk$ zR#ki-^zy@lHN=hQeb(P>0q*{N+&>|WYtKoDM-}kEJUZDwBYyj%3$Dw3;&Dxz5JP&E zGzHv#tc84v9QC7!+dBN*5tZgc@2sip5*Ib=v(NMN@0a(##raC7Sj1yq_Cwu@;+3)P z#L6ge=bA6LypnqY`8e;oFb_`mNi83Uc%D}Pm&-4)PmWIB=(loaaJ%C=udge=&G00j zRX)h4YP1#OwIQR{5?3LOq1Vs1@w!+aJQn(YLfHSr8Lt0J(fz=S9Ay8AJHXvbyQ(Cl z`N%e0SIU#Wzfu`Xc!G!4MIKE1>d@%E2bbKhf~+5+u)UQYV6-WflV z@?*2r;(1)_#rh7tej={?Dq{c9TdwhZ4f0)1{x;O}9<{rE+fhGe_xaiQ{Dr^2RkO+= zesQ`9;ujB+p_l*Vyg)je=hH8AHPJiR|JfLhXTv{%#Ff{5=7}S~?W=jg@b6fZ``zA+ z_0hgliOb)+fIG7va6C~lW}{^s-paFsFr`T4AOAb__T}Fk=j}hDiAz6+`|Xn*b!$T& z;~Zl955>5Id4~O24XhlIK>js-!JYSud4G#JkN0uCc^&f&S-^FtuW%mL&IxdvuMxO) z%TFdB`4|76)mb?Y+-zSvleoKREA(#2B5>LJ4W2t{dqKph-{j|gIQk~)O|)tby)1GI z@yo`|R+Epe$Xu^z!908SHN;hNIDAz249ts;FC6Nb#+`a$@KGTvxNZlO4e0Y zVeoNucRpw4-^hG_O>p&g-aOLFu~G0hrw?L(5M7R9eodyj(98Ad|KBOm%Z2}}9IPMw z9pZ7TRKdP2MS6YOhTyh*xj_`C_!0xX49;_&KAVP{W5Kh3&;C=MKyRL>pZEHNg4?HU zG4IOrA>J$PlUnd`O9pYCt85B}PuG&DA17`x=H0pU1^c1QH3vR=$wQ3S+^&uBI=#6b zbfa&ve%%($`2Bt2Tj-tCrSR9q3!!dx@4MbvH!{Q`TrJAM`{eXyI6sJ; zkHMY1%b`~v%wXzQ^}7x(cm2u!RjPL+_VJtp?&OQ;O?qc{Ah@}ifIN%k`B%A^e`@`i$f}41W%8#}DE4 z(zY|Wm|Yd?NQ@bTeZcOUzQZ%EUuX0o=;fea;BO0TYKM3dPl4-BTflYacRj%$_h9ZZ z9`mjjZ^inOf5mdYskOmncqI+}hkoGlU>9DGsdu1v0}g>$*?nfD#I`|VI(FPY-7e(lX7 z%(t)M^;qwQ5B2MOdBO4gIRo=(dM4K+Kbf~FxZO~k*Y!q==ZmZ*!OepK@K^8G;5}F8 zVZGdY3hP>*dpL&t43`U%vp8My#lKJA6P$=v~1N7Cyfe4KXgIG%C& zS0SDQ>%di(itted`z|DI<_-q8jrey;;&kvd=tq1FE{o0Jd7QeG&nF-EpkKSZC&$w! zi!bR_mU2SMG+zdE2E%=)?8&%FP;$#2)9-@*^r|KJ?dzbt<@ z4*XUzaM`1+rO(d5cBluju{z?EEjwbpo4x&)B&0Q)kNd#Y&#Td|%{*%;ai{h@_6fXz zyqR}JUGkHY@-R<*$@4O+GW^woJDi6e`H>$rqRa&JANz>?J6zy>^8T#CvclEYOg1_dF2<4czoxA>ulHXyimp)aq7CfZ#y%K zb38r|f=TaQ;B}{lPZWyIqg9kvzvyWc`D%AaNZ(vLHVo6HB%uQG+MLszBUv;^WKc-^@% zr;&dr&v`y?{OZejNX!JiicZDj>q{9c@~#))C@iFAV&BfRc9_9}53oO_*om-(5(%yEpl$PkbJ;Oa4Uu#m1aL#M8b2h2ADi;dl0S4o7Z?XVQKM2Onp5-yx*8E!!dHh%pr52RKdX#5+fU9*|pttwm`jC&>%J1pUlxe(w4y{p>d_;cU zf7HO$;4(gCD*CO*?*;nxkEld+)AJDkuUXGNiQS>sm9L^s zbhV1uhec39uB$OSH;~@$ZO#7UyqVt=!{D>RANf@3CeK&SbvU={TYS!Ui>={2XUViI zfyP^t=gaNL|6i6z21gK=yNAO^2eg9Tjq_av{rdFhX{JV~Lvy%hDdH+H{d^vC1^b?Q zcf1pP=DdNA+j=Ls%=K+q@a?q`zq2 zfsg4LJC1zZNPZ8s!*8FN8y)v?2f-yG$2sv@GnZI&B@;1gB~ahgB* z+-Rry?;!4sT*>oQ?g8?wX6BrikcP$n_Tcunf~Z5euq4)Qp-%HzH7J-WvrJxt%9*2|OY1kaxej~u0_Ko3h%Krdv za!U5^+yUnk^&7v}m^>vgUbk!FI2xDn;eE{X>BPL=@NUGNmmb`2yRqPA_1ggI*VJgn z^V?ty*VUJzv!MTvpI@q}7r5@VlsS3*|KI<)42Xmsr~?u5@eb989dauazX$K{iTzII zjQ@wYJN5Qh)K%F4aDBG?ZQ|Oqm>FP z_6@z}(?If|(<%W3RFI zIx3bJyI5oNvfjmCaKGNmm;Kw%y!)LsYu3!3a}LohJG5xsC6yQ{LQD1P9q2c#RBfl! zul_Ylm3K<{4;eOmnD1bpA;Wt0Cf>+*U|{cL9@y76pm*|p>0hc>uUx)Nc_-ZY-~MG5 zLMX3~551DFHhaKzx~iQY?ctO;-}LlByB=QYHnq!zDbH_v^fx_csx^m? z%={ewPNV;jA5lB$F16d;k!ZIIMl7S}O>=%;xA1vE?Mjw}-n4ukPwh_ai_gKI%(y~V zcf`t0>{T-kn|aEVYY9IT5!wy#F$B`)2fgy6Q%&lc-(giQ{`=>!y={a|H55yxPv*LN@(>8v-z%q>AbV|j~w>W!-{DsJcc-293jh=UW*P?&d zE9xz^o9+C(yDRP~+P%*v(beRxzJc1+;+YEkXgKUD?O-7hO{QM;^M1^t_dPHCuJe9MM*{rtmyYFFj~p11j0 zaJ&C!%!}E2@-nrXw;9pD+vyY9b)&b-6Oy^(C!SNgSo{QeGrD+MnS5*7G}uV(a^nxL zsoi#|$a&VKxLqOT3j&-I> zFJDAH`g>03oz7k0#G;N3ZL-n)5u@Podmbut+9UW!Q3;!V-|z!k*_b1Ufi-{h&v}L^SB-d z@%((h6-8X^t^#h4#&LeUKg@uBJ?l;0W8h}^;mO3!sT$CWw%=G^F7qVl57q&fWhLg% z?Un?+{^Z5|=8gtem+MR=z51yE`~3No`Q7o*+nEj7r~J@+Uew>RRl`ZIOBMpRwVPmG zlvfr_T!ucycwN~VT->ZQkGOf-8g*ftM<72k^0X#DC)X$BS&jVx^C%uX`IYoy$6;`@ zx*WJ0`n3UZcR(c1OU0Vt&YhJF$;X}B09@vJi}_O39*-cdvld4@YS9hm`wBvDx-W-b z6j+aW6k*qgkiYJC3ta8f;4<<;KjKc}U~u#K0`o=7{D`})n}h4$vccb;e)9G}G8cRD zfjh59B2GK~t)h6`5n~aL=+YMJ%ssNZC3p!5y{t1CKJxPDQN-nmPRN@&)}Hf_zSnZ- z)13nsKE*i?qaI8n?i~6EAG7NcucPX5AqmM`^m>hcWk@;HiTxBgi@5XsJ99s-E7hS2 z>P_d}%5nY>&ia!_z^#}H?&P@)?k47+NItUKMR1k+Z`KEOoY{Gxh;t?tsw-|9CEp{LRJw@X9 z*fu-)o8T+#^F0>+!X%;oMbvQUbxq1tUVJ`KJNJW|q8l2Lj~MhL^kRiK@@Wc9%}YMwpOc)Q z)m6dm{Sh08%UN?--?1I?U>8SXzY<4|fSa&koS$9~nV;&xykR@|=;>J-QNK3zNcIV? z4esn23myK6m^h(z09&`GWUj20#{mKQIxZk55VbrePEP>wX_w*9o%QcHp zhqiNyew#1nGsE~G=*vujkJJ1Md`z=@vxw`7pE&+v5vX%Hb!}7v`PDtjd01n({%hBo zPF$7d{a>tl3$AkoOn^RW74%Z~M;_FUcD(K$aDJ?8hJ322>AR5LDZu-N{-X=eOK%QzlauF}lUE(j-XBGz*Jx4f9k?~1rH zc`3L#Gl>0%#PYoF;QE(=tH9OLhS2NZdEYQA3S+!7TtP2`{810)eLm#VS>_u@<8&(W z`9$~a&3v~9zwfHEzkTk>@r11%M)By0(-DstRTo?=_QO1?xi^?6ZH14mnhA9!8t}ZU zS{uOSnIc?2+s;8R-$sM0a%G{n^9nG3s<1D~t4VlYtJcT4{(sMjeawvO8Gv{)dULMTxZ#ieuYmW>PMx2&;6RpSnoE-ALl4@ z#RZpjO7VMeW}m(kmk#6jZMF=^gFU!x5^>qGF8rOFv3Sp#$g8yhDpc#eKOxVm>3+m1Cq6{{IwD^b^=sZ<=lC0P9?ZKBn0F^fDy&m|x&`V) zl=!q1{;}OSpHsIWPFu3lIN~C#HhgRz$$1Np+erTUOke2TcU8c3u5?35Z%VZTH*5L5 zY};Q8h0iumd|72}}28N55rswJ|~H zS9Je@*JG7QD~ZeV1)z6d-r@B=#B&L8=kq}5RfjByM=x5on7I3n_j7ljhQG*t8+9l? z@_wks_kq9jcJJJTWW63(nez}{8+lNT3WtMNUI>5FvK8n5+}_#f_r^?)-}5i@>-350 zL|kr209Rd8cx-G%;x>K+{Oy7;#IL*)1K?kU>qNL^kY`okd^G9Z!-<^FHt!L?8h>*% ze6m&mcYcrKynXhB-pO(m{o1diz-8qZ3rMf)ZiC)EA9;!HMXe|N9{IHs>QEGT!9KYr z;r(v&{{tT0jFtcU1_u8Jd&h zc@mSBxX9ZBT=)7NTzom%1OAD%5RZE=fqe#kj0K;?btvW^;CL!MK>X$xhx5}nALd2O z*p2n>LG^%J;}qgoyG!#tu5_@Uhz>jl=YG+0PD`) zs>0*lQ-h4A zT_%%{(}LHFO*;bPb>_Fl`c?g|L2q;+)W3Pu5Br@!- znHt1(($SCoyM4vHo4Rvbl8;f6^=CJ#bRn)oC-M#Zhi~F@SD^*)QAJW?zGU?XZ|YZ#`wZ^1yNWpFi;%^{<*);+zt$UE z6dr?p((Zo=ZdO$Wch)bQM|yW}%DMXA)4czGyNh#_JG(8`kviNT{hIg+I7f*GO~Flg z7I4)k0^>4&yoJ9#TL9eYRuk_vJ1#r8+{))4)jPfqgFlyN? zaJ#+XY~t=HJ};TyW+4xHR&`C>oUQ@A-aM1*b9UCj;O#8p(f9cG2s>zQF!;aG%>VU= z-fn9>inwgi4qT03AGzCW7;)jr-w&86H=q}3f}0a}$EIU_!FyO=Cfkj1Udi0_^+7)M zip?0WxHEqRal4@o>mO}Hotw@(Mi6&%@$VY$`%B<5YvUg9X@8LQWp;v#9HmMpkbZL- zjMp>_26u|Tl*Gl4)xd2pR40W2-_h*S18QB5n=O%f?D^)URqh zhV?I9A>U4TpH_CoH_=*O!FV+MKrC2d9h)Sz{UMKJij-67gId; zAJ&Um9^htaF>uv(7V872f{P53r(s+k{Qa2oqA|FeP-rP}btsAZ-QdSQXOpm>$a*co z-OEEUUYR?SKaI;N6#%YE%>maF3b%p(;c?(LcO1Bzvn$rSSlj~n7eo8A{^5`z5FzVrp+(Q#*{5_i8&hL6eIi^nyo9{kOtXFRSV->yIx(#{Xp&fCGoT@PLt12c9b zF47lf|Bh+ce^*i?A$z$;dgl#_xow%8uXiYAN2P2S#ULW^?c$^@l@>dK0E5xjJ(z{ zA(_h~eR*7y-t+!^r$Q9?CO>eyem?d$+vE(NuPUzscc<|0HR4-VoQLI+)8J;Xf;mO&9(hPqlo+ z`(f?&%izb9o~A6+X*Qx8}n;?4Ne>Iv!W~ z>F`lk0j^7(=F zf#ng8&cA#R;_S)wDN5D>7vYJ%6sMi8q1PL;U!r^YI&>*rjYm!Ro7K-6M$koSJU`qlBB@qMZ8^9gztwTSB^$B#qdv*aGQUOkWbvE4qz?a)Dp$NBL%*1LYW zB8a%$ya9Ug#|6&wu70R1Q6vuBdEJHcvwXfvNY;y&yg!Ik7ue@%Q$7#-oPpj={rCd; zYFz;59CytG&clLx$fvXa_)Kb7NA^Omw>0HEcP=*s{ufq5FaIiwe%1NP(CcT1*yq$z z?su58gnUd4uOsuY1I8-{v_t*4hv&oJtn0ybUOX4hvFfk=+;6$T;HqUhtQV(tIJgMS zg*>~#F3vxC^FOQ)T@1Zbbvff~yWz)gkZF9USPWfgi^Fzmw zXE*ZBJQ}aNZW;3yGuWr?_CVrx_!#DqG2pVSk0P#ibp>}@YzB9BzQnpVQCx?nY+IZg z<%js8q!+JvTyDS-tZPv=8g;7zg5YEP27o(#&muq0(ZS5$@#h`Yqa5^hl|Q)7@tFH9 zS8+W2LpO6gRd#ax4gN&Ga_25^)%XO*KkVcP(wj@iz{S=V%vbNjc}eHI%=+a&A|CbH z4|xzBUxV8cgRx$m;se2rX9cVyd#Eq=0r4<;n-}FL_%QUQ-CFpI937fdzi#YV?$?ul zSGDyLI}=x__;aFOH=5s%j}oxHRJx_CUtbGce5t8OufKHzx6Qo4RoTz1cN4%(*i+u$ zzJ+nWb@QWc^|Km?Q(aromEzPTx3Yg!2fx*q-;9i}iS1 zKl{Mn-C6_jn52~d-z2QBgtR1;`4_1;CYRFoz592;yUsuuhZ0P!QIt%4slz5 zApF(%M$G%Q8$n!T4Tatbu8#fFS@G*M@WnpRyS`00pBaA&O-Poj)BIkOQ7-b9{C>ka zvVq^Z-@@PEucl{PLOyEp8gN;He@E87RU?U;bN#?|uQBX@;`cG&71Dv*29v?X? zHoFmz6Vn~s_4dN~L@HjVatD9^EdSYFjN)|j<>h?#Sis{=|L=6-vO)%~+ai3vb^ZyA zp?>wulzq=9H}W8S4n%>c<@cIS&2?!1@LNhgs_|6#>-`N-SNd3v5aQ;){O~uWV&G%0 z7u!lc&M#c&>c58^PvZq$NN=O~d}SUf-j`(jK=}LjL>^SBx$sdBTJt{a&+jSS`7`=; zJ+sXry_n~Te)WmB@UgAVp*sT<nmG#GO#C2T`5(f6+bnO6Yx_v(K*S zsDHWTHn?uZ>(s5%%#u#ZIMjnWSOIa0(2iK|I&Z+-gyeS7X&>{Z{QIxWR~o--xc8sJ zU$nc<^}H>oCO?xQ7q}Vxk@NZHoI*UW9>K@i!{49C_CX=w&G;S9=Mh1(676w z3b@oRxGDC1Ecxj0RGhbkFjq&6-qpz_4xwR9Z4?Ku|_5DJ(>E5l|aZEz; zRc)FAu8v>j{Ac3tMfF!cr zeTnx+c)ac$%$KsBouNPT1wLwK64yiCW*dl`ox@q*;~L_ZZN6e&%pU&SXTPWHW2>6u zTqL^ZU>`k&{ijtxzqT5$Bh&vVkLyxftRwMm2K>#_Q|Q;cUJ*{?GPxFjyLn!Ni`yQ^ zk1ooeQ&h3?ync({8B2P#mCp(0$5G(2-eLuwJLP@7i`TUrwaFj67Jsf$OZjt(thuKf zadG}8`nB07pkL=qh&OTj>?!jN{WzYb{W}wPG8DjgWs%327uhhZnpZM+pPd3X8**S> z%Ns?J2e&~j_~>0vQ0G>kA5T7}zZbYDz7KhJJo8{)#2-Dl-zh%aoas&( zi+Jqyb#2Ki0;n)wg&w13Lc)S?gZTcKO&W8$p$lw0cgyYFl3-jV;Sfj`M!*I<_n6<&vME7jOQ7UW6#DN0X}y^UqsRKTgJQAM%mK3NbG^iTBUaMJkhz zu0M_Wq1E8d$CTfR9`58gA2dgO>UiTzdeJ@#To*csaoO(<=Ed#_fsc)z#dQ^s8t-@O z&*u~8rw$mese5(;#bYM-<$gQ$=Q=s`8vBDNpPu)J=q-rHojgaAUOkUxeRNmo&Ex01 zPD_`9UTr9Vc@)dets%Yi<9s?7+Jd_SzTTKx`lnu z?UT9#arN~RxZWHOt{PXY2A`m67_S<&1Kj3H+t({uuM7Hu%WSvVr}~CJiMt2+J)%4B zK))h?*=XW+VL9Z-)=Go%>iem&pU9Pi;bT6{!}^lDZcQb<4E&Az-E$M%-7y^VqUNQ< z8T|&_$y6-}@zmkZp|%pAXKYeT0C9Dn^J$+QgkJgnjrg5w-7#Jn9s_PFJ?lw&k)ask zlo5Pxlyw5P5qEdQKyT$Mo|m%KrX?hExuPZKtxEyaq2t>S>&}Vi{JTFJ=$)pYFfaDo zAJB{Oxlvcj9UDVF&H!Kb|AXHn_U@uZ#O?i*_hY`FdA%g2{7%=1&*5fpNpR8HoBhlE z3Ln{}5$osnCFTDS8&u+YZ(U(5{lB-ITpjCQ zm3{Jn>ciPOIE3oT#JRjLJZ*a)_2e;dByl@t9qLcNsD=Gs6}=xsT*vVLXPY<2u+Qta z6~N_*c3iI>ud&ZNwa24A-G4`e%bIDSch$HCRURM^j@|5u#b)$?qKM^r7r z`*!%^afoNoC*JSGRru@dRe4`3yc1lcsSh8WemeY}$gSXdIlo6_@X$`=<0PGBo}n4` z2kmwWB`)I+T&B2G&T1I1_+{?^x)-~;S%|o={MkS^VS*w{f9djiK{w$cwEPBD)7P^!1a#y$eVr2-%B{5 Ro597s*XY-7N;Ns*e*nD#;QRmp literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/3.npy b/MP_Data/pose1/13/3.npy new file mode 100644 index 0000000000000000000000000000000000000000..7a1b1f34ea6fbce9bd25893a4b8ff2e738cc3e8c GIT binary patch literal 13424 zcmeI2=U?uuRLAZeI`z!Lg4u+s1N}x17*(|q zui9i#gQ_)o)jt~rW}W{* z+s-om)$%HcU*F$z)B5Oh>u%b1W$1Zxc@*Lkzxv&>?Phq`b=xj?WyaU){Zq@G8tsrr zHm2`kJRklQ`IVcG-LdVu$WyeNzt)bk??p*^UdD`giT7`E(tH$}l!WJ(`@OK7CznFp z>UuAFW*>-X43Z66Z!LO{&TzT-$zOp|fF4}g!ED`-__qUfU=bPOrPp-w^*mjwI zjrzNkhhA^a_+WMV>)ced_Zo-i<>rGIESJ?O52kzXbldJMI)LY7_Y;UiZ|{QVWuviI z(SF9~v3<@=E}UXtMMY1{gGeur=S7iZ>i4NTp66SRytg{usRhQTKF)k%-^+2&5x-p4 z6!YNBn~eBP@uPU2mpKES@wkEUn;`f2B-`JsKH=zh`A)~as`q!$E>oXvuqavI_0I4GG6tu(3iH|G5+{~ZBWyc`I!J-E&v|RW3 zMDx?`D%I=FCd({00ZpLi_iMvP1U_10xtLWKTp#Xp-8198{J04IrfLCjvAF+L%T3Pl z3#^`HpNjf16Q+R6k;$WMyEy%g`W>8=_J^BWW?8++@ejC(aJvj$dc+*~^t=epKc`-_ zTy9!F!E!mG2lZQ~7xExnI$&Jv3~}}(3S9eroM-i-vp2=>mjJGQdot5~+^OqdzCd z{1B_>Yg<6i+jGo|*_c&ZuD<3c|D>u^msvW-TCUGdMqQ{ieUTsIxkp<+zN`Y}E#^7$ ztZyeYuzJzy745^VvtxdF|BkIJXSMbbA6o!i7k|{u`ly-#G+zyp;Um1B1X(UlcYwdj zyNCS8RPnN$KRXY-x;z>4$aDNK!usoPIic6Tj|CTn-V6e-x198w){;J3=>gzXLcsZi zJH(rB$Z5GVt~u%NdLd3Tq>}Qq{#Vw*-|=aIb|W*+lF9;C|Gb?ph4vvD85WxvzlYVDOs=*Lq1 zvjZg~PowOs6>IK{Rbh@Y!ZH&4QT!it>J;7`_)e)4wIx%SPC@v7e4z>V{f>c9NMF^K2C zotQ_KTsPIzjz8a}X#2`Mq7jei`49O_(^%IgvN7>>u^6xRuUFgph|+@ioraXp;^(?r zt_DAazd2MG+>B_l$@=q)`=Qqxs?$21a)su%?Q?Lpz8$!VDT_QX_b_nhTs`=xS7-WJ ze-^fc`b{rO{wc4ABA%MHF*$x^bGnH^DZs~Pb-6YXSw`Q&qg*}XnoYHr-<5xTqk{zr&Q0C-Iv10i?|tn8}V?LHKCTvKfjW`1g&3o zy+^p^VuUM=xB5OB*RCye?(8fNt~v+eTu`s3VV_|qs(_n>+lWWBFM)kPrNCx)<&J8G5;7ChEZ~Pp5o#yqxH1 z^H!SfEl!_im`CSFSDbg|(_ZQ~me!qftl(Jd&zf!n*B2_FU;h3H=24c-+)wJyp>=n; z*8-~-q4A`T4+qy>|DBFF+hy*z=Z90j{v)7wIyZ-2h4#k2q=xUrKBK<>8}%eTn2~>@%$FEO2w~ zN30h!=_cmIq)>gTcG*!Ure3kpwqMy`BE|Wj2K21tbksku*A1MloJ;+7D<5I?&NNrz z7rw`OH;2n$KUZ02qhII2m#a2DQGC`Q`>F=#0O#|s)4BPtZ@A^o&>`^QpTeQ%GnPop zP1%Ozlgz={hC{gTsc72YRP7M>@PruDiL;;P(QJ=J-c-&mOOrBubU3(J7XU6)q8s#cUW2n+b!Z;Ho6+0)vvc(kzgl$x@tBb~zll0L5B+X&p?<4S9(4YE zlPuR$X+4TZ6{!wCepqGu6*Z@m|EoyEX^u%c@0$9;pXVrvc-Z5zTdWUX69v6KSrAop*`&C2z;O`7_u8VQ46X|If?jwRK^|DiW|J*<)*OYuo?ae#)~!k) ze%WI`;&BSaArEqHz;D*y`TH5Tc@|G~@}?Kn;q%4h?K74_{jQ@&wSkv}& zK32|#IF0`^#LvzT7;F7mk9P1;tJc!Ex}?pwT>tWp`mH@2+$@QVMLeG#kUnK3?E|}K zg(qd`O}#Pjm+AM(=fk}q__QoW`hY0J&$fH~Y`HAy32rI{f}3T@eJy9zdV-5`y}(7E z1)8MF*~ zCn=iZcl~d$<*Y^<%8&1R%!@ph1?PfVwVcK~FO1H$t0Qrai=KahvrqY{uGr8h8>cfY z3w*@W3Z#G0mwdXofUB5|h)1+&N1sd+Z@ERg7UA=dV}k68^aKP68WpI zyTBcnb^~m`s&oSy*SJntcjEbrIQZP`jyUz^(ljr1(g(oj*JN;dGN-Dywb-R`><{M5hj7cN<-{%=*C4j&IX zf1RQ=z~%1s5tj47zoAz@3@4s1k@9na?$u&v67gTJlD^7y=#5uf+GpM!nP7cbp+CU& zvmDTiAv?xfuCyi|kR4oi{2O|6iSCW2;m6ya89E)ldZN{f0-d4fg`>gMi8|vf*U8?< zvuW`&#;XDrkG0S7M^q1HE1jqO&c+CxSl`y z^{7mBn3hQMp746PQW4XLuit6Fa_rx!~#s0}2ZGv9pTZjGM*^+|# zktw5~cc%11otTt1l>g5|$>+{jil_W{A=ck~R|K4O%}aHaOVD`By2GEf$OgUR8}*xK zhF*{BLcGg3tUJfm75*$}B*p(BlKg`wwMP7vQZZk=$ZY8O#DhVWvkKLrSN+{+9%s5E z9wGmLUfqrZcUrcpZ}og=4#cUq4MCjxtvll6iF3$D=fXK6f}?N`*YCekzfBb45e=dz z+4zmqiQ){-0Uu{&wvm?0Ul=$uolu{w+@_wEi|)nXBT5&-ybF)qG0^*M1D6RSq1OX$ zP6i+U9P3fmjv>8MaE;~c-#qX)dCPrQnKr96C;#OE&_3IFgeq`#lJucqB@4}T9gaOtrf`=0dq zX{u+2Kl2Z#bD{qvMFTo_hLxs$d;fX(uyVDaXCGf-oyz#v)Nk(#m>0RcA?8KJ81 z*9B=E)f=(`@o>`1lFy(wUF(3e&%4Rz#Xy?(=5F{LYPywxkK9=XTooy^%K9*$(!@tK z2G>!AV==C$nfKMCP8hGbcLV3Ivuzpt`OqM69g^76>h;t_;zQ<={%R!dQF7gQ!OLqvu*~8f~X|JiW=^&lUc{C}Z% zRNtKN(VoSJz(1-L#k1pI==tj^h==X{9h_I=q(5C{D*8>^ME>vEqF;98(n8C1SY>c0 zTk5`*%sdGL`h+HI_p6YgKSv z_Z#Y2`gr}Cl+iE$Iv06x8r{JDEMJa9{j-NNz(w+8>~F?v$!x2auTIgtZ215^3-rgm zLT&n+c-vaEA3lCR$?8>G%CqA;9$e0B7H+wIkV5??D{$vyr4aBJ9*C25&V_y0DcsrL z)Apy?fy=;}0XBEO*N=>o0%vA$`0L z@&2_m^vfGS&nr}OT#h+YkP%)g>C& zzJpV(kCXKea8tk&^UlJTkFt86vm1QWjA1k{3e1w{2AkwVUgf`6zy-^^qFV-HQRrHzaBdm{>uF|)(gLymE!L;llt|Z+ROUuCo$m8 z=3`jz(&g^EcajTOXP8ERE}OZS?DS*2g*( z)t`W?5gXC34y}lJ(LHD#>0cUSy!=!g>c><+2!9^Z2Hbfbg>lJg6h8~1|GTlqUunIJ zj)UIZr0@6C{3^IVs4V%Z-_7&jBcHhX+4%LQZ_w+Ke}F5WqJ3@rDqH678-AKXytqqu zs~4-6LN9Bqqk3)@84LZ@W8msT2=roRL7WSUttbB()2ZL7B}1)V%u(P%)4hl#p2xc8 zh2qKobyMtPs^^cvR?pvS@^Q9eUGqsbkq0O5GU8{u6F*)N<8~71i zY|TUQ)ZdCcI5mqR|N262tQS#z5&U_nwpd5%=ww>&r}yvh%;;Aic|`u@mcXAqiSB0O zF>Y@up2`~B>He1w;=Dc?+`5vOc5a)77xS$P9`ljehZ;C(!&A)Z@fpqEv4 zM^OJv_936g1F&A?vOx+y8|fT$_Akb|a1sWiUlm)3^!vUtH?q<2zQ&t?XJtIK<_u4QZ~f6G;5=6z#(4VLzTJvwi)V_i6xZ=qjNI|^}{@Xzou(}PjBsut}hrXqcBtONHg zvp)LGWArPo(C0_leCbNtuP#Vjr+z^_i^1M;;O<>9UgyqG#G{He++;bM_XD`-FbL~i zul}&saut%F^iP*k{ntMWA3oIs{mLG#9IJCy51wpa#Zmgbitbn!;}UKY7A0BEAJDk2 zE=0flh0h?%&D1>bHxKX8cu!r|)<+g-1b;K)EzQddf7F|d`kwlAD}Z?s{=LwzS&$E0 z96N#d)sG8>^=IL(@YiQFog>+Mpw6A_4&q_^4B}VYJ|NG|+@bK{su}S*V`6PQd{`W~ zQ}PbZ3sd|Nt(PwM;o~$eMs@3UbG+5768peaD19%gMCe5L)THyp^!bkTc}JjM@%APB z_5Fv)vpjxrDSYnip*XWnMjljA5n{P%N9VH0*&3YhEgNjPbC}LwC#DWKTf3X|iA^c~ zsK&(GzCyq1XfJR!x(~Ri^lmzQlIVAPx|}EC5sze|<>Fp<==q_G&^w(6VIR}Uw4d|r zE;x6b?GrSz)SH*66Is_6=LqY)1^#ANE#z5LFOB>= z*G7Y@s9WGH*9h!;`V{3sAD>P0)nyC59~Se9VBS?n`W}+6%DLIb&pNE6dC7ee@vF}h zCRxra2Y~A=L$NP0-};D0e5;9m9glGM^IP-hSiM=@8U8}0VqE&Cc?p)QQZ!!KbT{gd zZ4I1~l);_!{qW~2=p2__3WQnC|2jea9xH)$YSLY%StXPzJ?E*Jr(^r{^z9SBJC@<+!q8cK2GTeo}1Q-dfyXVKI+}uaueJHJ=uecjed2Zo1(E2bR z`n<;TCQ|)$OAEGK{+xMUTo0r;MY$d}9%tfz=-1?*OYzh=iFLt8w}d|nr+wQTqu+_C z*Dlbj!-J_#PQP}u{^pz)<>6{Yn%|=*u@CDS%PGznZ`zlh9G+wQReKJAtA^L84$p=J zTF!3`fj^s28~Jx8cA5hJv^?Pa#T}{#uU&{=X3xCOh&#~hn(anfy>p*F@3WEd(6gG4 zeJvN-6F$1oSUMMS&aPnll_j=Pzcp5Y^W{NUzhc}K8dr7teU#yz!>r!arTvGOkH@%F zjYc#t>9G`Nk=ax~-YKYOCq$C}VlT>Dh|4q^53e_q^f&ucU3HDZ=SOEtC93~g^t)UU zPrpwS#g0QSO7)<+`ZXDKlJUDy=-GlQm`53XXM^>3zS4ec7PSUvzaPZsXs7vnj7#@9 zf%$SCCtzKe*Bimjf8ofR7BLWxQL>BIz<~Tuw2AMgUc4xpm$!BT?u{NIpF+` zE9y}AZ|rE}QTge77i;NvERIX{%9iUb6)-MUW;5-FJ-T(XT=0J2CT}7*YkzE%W^2SzY&g0SDv@R|uL|Z*;)(-h`rWM9`wZF!GqW4C@pNU0uUX=HlYxQ!? z0E*{wDy_The@?SpJt#-|*eBp3wAlp9of)?&KiRH=vwIzapg*4gZVu4*rFz5R0LyjT z2yhlY3wo#VM%>>-eovZ5PrAS9@LfCL??Ru;WH>=u2=L~Zhb__S@3b*Yy)>H_gH4R`LG*Yj?Ia6AzNIC zu$;wZ?muN2t(UL$;m_+1q2zTTX6HBZ=~h_|M!10115P#s-1tm z?;PqvWcjWueh>cQI=H-+19fMD){M7x#h(@eXZaVU+2>Sqzc9;n+U^wl-f4G*{=e}m z73VS*LSMXe51(S?qyPW_ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/4.npy b/MP_Data/pose1/13/4.npy new file mode 100644 index 0000000000000000000000000000000000000000..7c44ee804556c802cce5d344afd83fd82a76de36 GIT binary patch literal 13424 zcmeI2=YLO0*v3a$b+u)eU2XK}Wz`6o)ywK-MU)|G^dLl(AqWyBMK3$T>a5<$WYt|I zL=Z#_7ExAPtCuHp-T4cix6hL|=X1Vuoonv7r=IgmRNF3X+WTZ+fh@ROzy72B0?K*v za$W=KmaD|e4HywHCZNyo-Xj9~^>@5kpP{4sr}5E)`i$(KcJEQWcI_IK%2(o(`2Y4V z2V+cZ>hZUC+Ew-In&hq~=NlXA_=PXe+`V}I66NMtwkz&lp1FR@m0Le5H|KorInIlf zLb)Dv4duLF`tw1*Q~8IM^n8XSluO_A=i9Hli|40!Q+c1EDewh?s@%oGu6L^p4ZFL%NLZq@5-$|r}p)K77zb{RIVNs!1H$S1(fqf8;mPA zQB=;a7D4>B|JEC*=VsevS1yiHxxLmO@#)Yu$*x@dQ{%cT=R2ufNB#E@&;8t<@|bV% zAFf>X`HcLsA5&9Yx%w*+<$7t?@vfZZqvy@KfPY-M$(jRtU2tx!D>wPaKf!a+aaY|{ zCKW-s`Eckm%4^-hbE0$TQ&(;V-Ft=W!!8$HIWH1L@p#?2Q zPJTnzlCxhsohVx+(Ut4kztHnP{(Zr5`AbIXr^Y2-xpF@EC_QJ+Ar2khiJtFJ>Z&Uj z7aBgmbH_XraMgd^c2`m6<-e|6?Kp|&bx}_|Z{_j-plea^63U;9N_F?V$QQ(KKgOdU zMRKE;u3SDmj^|aCgV2fO3)KEAFE+Sxou$c4_q@2V+PbT1{3puUw)LC92Q{7Nu6pN> zc;3!m^U2-I&SqO|+SM*>SJmB{fG|AI{@#vqb-K-7$3>PUrBOckCAG6qQbyr;iH|gn za_xQAFzud|zlY~d!D|^s+N~Hm9OH-uEWM2K#8MRhjJ}y%xxU@>Cj4_(x$Vl$!3TKW ze(sKPHth+@ZS{QdC=bkn`gz|hncefIS&=2NX;+rz;uBY{iyoo8XYfF|9DZwuE9VCu zrn++3vMcp-|7`FzE9*zOajwJu$`M~)BiE(fDjg4@6J1PYI zuR2Zv=V!tK+;e;tqj(l(xZ>{3gbj0?UY(_QjIDOrah5!7uH)v?MZ_taT)ybIie3^7 z-qMHSJnVx!u*kM(mt339-$hY=KD?dp^t^00=*{y@#78}x?YQmOlYHu?g4+i_&vIN8 z>O=g;3Rn;HqV|YW-|0s_kPe(B5p4AxaIA9zwa0X|Cde3 zKcE=;MdtqWtK+gJ<&%{u3$9qJ#g6OnDHsu=P~&(^b>?cnC_Zg5lRLn!#PH^eue0k_*9hB+=4B!JsS|A4bzxu-kM z{vJ;HFNZPSRFj>3q5r-R;$b(F5Wm`|F;CUl9295wpTNzSBbe7Lun6@_uMyNQ#h=yi zPP3P@#=)OYc#OQ6`f(Fc@A*h@u_%SshdY_09k>3oz-5mxaDC@9tpm@;Q@?CV0Ot?S zqrc3_42VZ{o{05C9{o!r{(!ZlKePkm-1aCD;aTFdEm?XvAZ;z9pX$Yca1)K`-KeE<$_ts4vyvU*jimwa^p!l&@cRcH931~L>E)Ntd5)Vl ze}J3iiQs%!2eivvISbCSG(sLYx6rFG3&7dpYRD(M7%>3;yXai2er*VDK313jzGM~j zqF7#V(V_*`G3kFD-1d5aaVr{BTjum4otxY#6z9Z4QxRv}7xLLo^OuzwG86uO70_P3 z^B~0^vk&`@-c^!#WB~RB)7XdhwcX{2x3-8!x5^sl-~_1ed8P_NC^6yu+dzl=DgcW(0eDoG*ErRTxfkuu;SV^NxSHIIYqA)UZY z&|R!Q_Vq#H>*tWqg>BQE504lPu1dbgxyg*~4n4m+hsH^hm$VMti2L2!>3^nki`n9Z zel$Z$(SBF_5PZaz0`Qk>TaI)7#&;+2uS!##IZ8}G{EcWmk|Di6r3Fz3caq@7nMCJ-T=_`a<-y)!spI}i1;)Y73&ZwplbXT|eizN_iwv7XD2 zaEfR3N7@I&iw;1XHL`*8ve&TwD^Jgvj!WiGKA&em&le7oj+^j$q|eKVpPCZjxEMt1 z8y_$pKDNs;j1&1E^`q{xh{nUL_RC_^^z3%}d&efqKO3|-!ujwY>cU^HH?T<{RmJY?%r0kxTAU zJ{M1)1pn`R5sye2iFm~0E|Z*(T1)dnU8x4WzIzh$PCVU8?FtR1`Fo}9HmB#W=)IbS zHKTTA$THk<*69+(U+o0q=fyLua`p1lkyP)DDHyl*^!#Y2H`V5YGp}#0yVtEsXk1fQ zQhQrc{HEEqHPCPMg5C_;PxC!7bvg8_mqIT~rC{IT)4yKnxT>-o@u;Cucs;oO{99$m)w8AWmy`P-e)TqIp!1i*KEt0K{e*Z#^O})P&st|joIKz$ z;&*p@>ly!{UQu-zxag@CJ8l-=qdaULMe9#U$jsO@E`tN% zZ*tOmE-O?P^T;H9M|n6LiTDkxC7h4l=uP!D7(sk!`=0RM?gK8%`hfHJUPGY&>oVHK z`(_81Ek&5)(z7P%=Tm>lTCG~cXJlsb?|2yfDB5|qjCJ}om(ebL>?k;U{I&sLa0}D=!rO0YJbF|k1vGY{28$x^`ek$gLovmmek30-+CgrAn%sM2>>FxN8 z%(Awl{bKyB-<;m`>qyf?Xg{< z;Qe2aKF0`}FAeFuWDe4~TD^}0mtNPP*F~;FFPpbUd&Qa9VCTcVcYv$tY*cTdmlNP0 zx0?JjWCge5YEN`rKcRD@*h%Ll-Sa*;uiFuNT|fG!x6^G49PjkDt`GIs27&f!uMXo} zIX^+;L8g8{p5@z3p-#`j$zSHYj(%4s&(w#HKkYl_!%O0eivQw#M9YH||6TfiB#T`c z=k%g*57f&h&^gnb55&G>-o`=CN5{j5HEMx#sm(y~=#vkSA2T|Szw?oPWoaC)-iCe` zLsM5Eo~e)FBfj$nx5@u4bX+|u3_U-b3*4kU!TQNlw?J>dS%dXo1SQb;$ux%azxT#C zVL9Fe!N1@z;xPW9N1PXM4tB z-swrr(7)0*0GxZwgMlKdYP*_`jK_-fjG_K9n`-| ze*>2*c6d5HpPUVGiWq;2Kk6gabG36GeAJd~*hkdu#W;uS>>0q#Q$_Kt>Nm;7Z)^u} z@hK~{H^ivx*%sKH0J9-5h8C6+}Gt>wFl8_TfwHr*{8NaJ_vL^yX>wWT&?^ z{=s|{yXiZaSeGdV{xx!;UY556`5ewPA~sF0E~LL7eUlgcsFPkJeja-odL5dGc3GcI z%blJzC%tH&6Zz-Cq0#VZl1%M=<_EoQQ%ytvg3b@B-4KjVQ-9uI$L$?@Z{^u*f%D9V zkx#Sn541~#)ur*=B_H}l#Z3k0Z+eqYInk^dG37stQ*)%lo(MZwu$^}yMp z+>7BqmCma?t{vLTn{C1VYrCx=|9PX+`>Re%r|{#E|ROA%-H!S}q=>JfQ&V*Cgn|8RFN>kWrq z6v|BP3iigjXLfvso&^?7bUHJpzy^19pN9!d=Cw z^mtOUz{m9HHP~_fwkg$n<{jzxbVWQS-ym>RrWo|LhX_Hv?>CeG=oYA#=Sqo$|M;@t z`u-cNZ`}V5@+>ZoC!dhn6@;RRX&Vp(!bKD*; z2X0$`#(1``m$!*^eD8e9L)*DrsKT$CGvSS6`VEsKFD$9SsQVh967NLtH3$_ z-f3JX4u#&v9>P2l%WAB4di{X*K~=B>xNcNC#&OerCw!!52>OLZ9}I<0$L;W8eZy$n zj%beclb5C6Db1V_@Zs}v;Jj)^BtWk{3WJ+&*TbB@J#+y6Iw_9w>D6bN^OwsdwX1S3 zaGA$LBc9K7sa-#ppm8$4R!{i&P66i+Yl5r(=dpjWHm4~5L4__kUw$d$YFtnEhrex< z06p)&gWhwasa1HnzZ2r&oL`^t|^XiYNIj=C#hT0bCXr zSjX6+f8b-Et|tA09hlebLjmMLyrXzjm2Tj6PyuT1dHNk+W~28G)vQ&htCyKD_?XWZ zQ7`LWYlh=u8m%X??RtuHZkf@J>k~A7sd^8S7Ji1*7-uWHx5v#Zy3 ze+jN?#ZdeYgL^wJ;--L`(><|2%0l-rzhw7Q0?U)Y?6zosTY)pX#kU9{E&d?^lNZzavpE>+%J9 zVXI;vVGRSo)&7?7mtI0Sy**6tLE`lR%xg6)8SA!sLi?=gTLJs2(Xq2!yn1>n>a~+L z6JOtOvEydYBC5AhZE)MSb&%t%&T8n*>zY_U)zUS1AJmriL3yAWoihva@h%?uc^`au zazo^ebuO~lalVJszU-0ydvX6hzdC>0ht?CDP#!+KO%nETm1jQc)rTg4%bR0xPB7k; zz*XLf;OhQktYabrts7>08*m+b8Rrn0VKd^fssQPRDSv3Ua8tMatMJ}wuO zqxHWreIK?{f>%1d*mVZ=vL^*74_W3$InH;`@B92p9*j5P=k;rB8fWpl;csFqU|g|= z#{(T#!L`X>Zm0d|)s&sihs~mO!{~E}NB;R!OQ)BmZ<0^QAmo$J3igM8@GQztsc7;k zeJ#TIh=g6x%ih;euY5E++Uae-7BnB5(>aqRC8J(@j@A=f_8qnB6OCKzL+c5TolWzi z-|u)YQ|oA*XV2TwxHZ46a`l?a_YsdA`hoan-`~LNbws^l&tUkdZ|ZM$T%G)Z^02HQ z=DQg6VU6Q_e{OJAYAN;?x$6S?%%}4YyVBG;o%T2~*&pN5 z8+qWjB2cgHmVbcbGILJy&t}nH*(F88Z)7$y;OCHo-&tK7Bc1~X!=k0DI9=#wA@$=KgaSj)LL*Zj08dAHGrZ0B! zu!P^h+3cINU!=T%kGy&pKI(1(#AA+rn&9+i%Rz9#>AR>tzjC7E{7+5#XBnYq2ZEI2 zdeuKv?~S|2vzd^x%yBvJ0Q9`_B;>&s?h)j;J(51Z{F~A^NopAAxG9yFe4bPRm&QUb zv(dV$H+q7beVNf-UCbAH(bAWAV)mKNhi@-Id7IvV`n^?Oyoc(JU7_dU7ocZ-Ct)2^ z%~BDkIhGmwj-E7PYHXShD@F58Ri@ufbnX~h{~ytKR(bxxI8jf#U>{*?==`I`RYsoq zz4FMvoj-=!bw3$gF#7$4eNE$vZJ3MxvOe>Qy7=|Q{D@x_|3c#-DaRJa+1*u?|C{OW zBN?M6ffuHAUf&;#b%}2%Pw|wjLhao&6aFS;?_8&sQSISx%F+KhsD}}o9Ovt3zKeUb zkMoATr^Kdl6@CQu>Iv!l_^7X@Ic`V)3C=$LfO*Ory}~(}Ex1H+h7Jao@kz+1taA^X zufGSb`t%s)d_>V_GKcLw8Gg?J)<`^cZ_ja`RvlJ@^h{hW{a zFbmus+6u0^yb5%j*QWU>#{^LPng9L8#Un0%M7`o+IN~vD6EQEiS5x??1v_XQW{(bb zdVW3&^s0hCjh`>?Yde2?xi$3iU`g6{e*FXMuqeF}oDb-Vb;-WoG1vL9vveL-d9KrV zD_vnE;;G~hfBQ>SaO8+OLScz`%*_eKw>3NI#clVr8PA@*u`@THB z?z+2Y-w(k#hu`srk2w;Ec_Cgb`oZ~#yEHH4`c>fiT_n~G6LS^uvrmmNK4tFEA<*YK z1a7jdL%YOB5A=&{z6AcVYdGSOi=JRSo6>#2wMhT2UZm`F#MNLn#pBl({bFCO$NM8s zDMj;Z)?UQJiyYNXZ*QC=|7*WMZyG0HoUk^Hpl9t%qaQ{2I~$x{y&nQSJKYRi-}-up z*6E^%CCI1Rn+O8J!4t3^0&;ulgL7M3Ob zoBXRB=a=UakMh9yv8|f5^LG9V)6d~~>Hk=`-~RHBs}iLsKh-zU`rI>D7su_SUf?2e z3%HJb7XY72bRJ++uY#)vcaS%^dmH8F(H_*xi|&bbdfuuP@*^kaLwiNt7+Oz0M5XKL zcPkb!mc9#R=m)MgT*AB)o&KDTIQw#N-tz&tjp`HZI4hch_Nx7t!DY)~V-V*U%BK!U z|6ZEwXupONDZM)oYv3)=M z*`BO44t77=uJ<%I_bFMe#b4op&^Tiz+&nCxM^so5+uQ^W7PfVkJ`O=)mn@?bvnylw_U^7L7j^Ci$EIDmUrBI2Bj@t_zz(w>vaNFcrwB!8ZesJBhKE?U%`r*#k#;iYw>x7o5 z*B*}_1AXJw;PO^eiu2TJdhat!&O5!z9tkeGt%-Dc*8WPo<02*%{-XDxB905sa%Uaq zj|+qAY(1xdXZnWtl9J%2=)W_;C%*%?-;V^BZSEs)vRNGJHMi*ZSlihbaf&S$&NzQP pzA*ZQ{k#|Xm$f3m#bNqCXg=)uWarOb6sCF?R)$_(xIZ@be*nhl2|fS- literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/5.npy b/MP_Data/pose1/13/5.npy new file mode 100644 index 0000000000000000000000000000000000000000..61287c21819d014f01716753ba6da465a4cfddd7 GIT binary patch literal 13424 zcmeI2_kYe;*vAiQg_hWA9ZHO%gi@n&5Tn&lqhhsA>^+hwiQpI!I|K=da_m*HRcqu> z)Q%aOui9!Cty)j6&y~O6`Sp4Ha=-5P`Fua;I@h_*_}($Q<#$2fcFZJx6eG*`=o!{M zw0vDzzJ9MS%2$@# z|Ls2?A%ux+b2A|QQ?%)Do<4126E7wG(>wA0F@4vWZlm4R^GQSd`o34G-Spyi75?ol z==zsMyBO9R?XqV^`-nAYm#w}=yWZUk?W!xcyT0>p;Q4<8`1#VOE|b5C&gehv6K?Mr z&i!9JigrCGqrFk`pY*)$Ue7`P+WnE_W2b^CItY zw2L*{ex-IZo7=s@1rfiwlzfSN)GviDQM*dX@UNs1pK2a-8STD%&QrVF#O-$SKlg}x zlfOeA?aFPA+C}Gg$glnJ?NzjYdkF0!seUwlcZK+QcP8{9eK&avKrdYD9eDozqzA;+ z(-#=G=X?7Ro+~r$EVbKf@9~^EupHdxe)1gcgO;D5cCTS}^r!N?It?CuhWl^Q{VBBz zae?Rmo4WY)nkBp>oh`QdG@f6+1><&&UY;PXgK{H}uJ@k5sa;3y;ODQrL>zWx4?M39 z-Abc&8@~$k;*>o_&wJ+%dGx79gy4Cz=XX4BQ$z5)K5+U4wcC#KPSNwa!nT1#Ah{b4LV zO(}l9*V4E2UHs#doRa>bt~~q<-y03Z^ZHIQ+FkVze?w!#zLycFtdN#j5x?~* z>O`*l^>Ksr?`p&zJTG^iL%W#N3hgFzej3_i^P+!sM`xku_3{x{$k*nmd7awramUY3 z>4wSUqQqn)A-1>mpMf26y$xjZgfOhfhk>caSCgRidsUmUfIZ@vVVPfuUO^COZMDpX(6KlXn9J;oIxUKOixD5=sK>n)vJowuJxxl?odY&V0QkTyny{tb5 z^RGJ^aBtb-Flx8$|KmDc@5w|-##>w(}pYuGf>YZts0*>N6Y}G&O0(pro|Z&@bdd+hvrqvw zNUxUP=lrkBhWWJ*`zhjj(l&4}CNH@6N3EvhWBc_7H){^?e64*jjJWXq8vfqP?cnzO z_!h*?-$z)VG#2w{_ZA*V{wnPQ*5{36etKpv;yQ93^dfczxb8DM1p1_5>{IAExF`@` zmi)c#4ZvOQuMwvnyVnqxIhVj+#02m<`*uzp@^LTvuup6k#A!m;MUvhe8il;MNI&*@ zRCNh)75x%ifA<1<@#Rm`;6I}n{7u9fuK#mKBFSH6_QkxYFLH4G1RjbbE_;*$*OQlk z+x90>w<^;q__zmLpJKu&)S-87HT#$Pnd|LKpBVV~JO%gG^L`;8l)<_%X-B|iiyP3( zHlL0sy}QK?Z?eeRF5tfTIL=d7c^@bkk9DfP_yAlqYR3GxZCKYz6+zxajWFcj z+qIxkK)SzIBnSaS>9F$JMtguj|bT&4`<0 zcj51SpNDy$r8tj7+25d-k9nP{oGWKSU+FHmc-R8#*S32O?(K*Iw>v7pN7T$74E_1p z;HthabJwH~;*pgwUgb9*@r#ZMtyuYcO-0!NNp?8<|$B^F6cm*H# zvLff<$qnpFs%ad!{4xUPy$h_@jr6L|V~p2ayoh|NTQ^1pq;t8P*SlJ@8}}1a@PHw` zTksHimAeM==~f4gAib`#g?$o^pkG@k=WOCi7vVY_*%S3FGC!C_K4$Js#BVMpf_rUW zPA9H6?f{pcA7MVF`$Xc-JILIxG4h}?kHfk%t0#l2Zl#e=*Rm?cB_b@i&Qgu%u}x*{ z!{T59xK}VU>j&lOhko~;1sA9PLfz{3Srdti6{ndmJB@hksH>cZwy(g|!Mz;kh$Yda z_p+D8cy*D@;CfjBoFleJNpLf_2hIhNI5`sI8d(NhElx!|qH7Z7%hmk^Tu7+?v^?)MaUW;~EcV^&j z=-rDz_Ags>0`zt(kN4t8aQ$`KSmJj5KyVTJ{Bl70cYS9d_A8NX66!&Ydd&G8S8xN` zSMmMC-B6fEeJ>}@JGY4Mv&LrUc$$Y`z3aPc;qQq;;9|>Xm`5A`23$6u&OU`JqprLM z%Q((?6ToH7Sj>y~=NY(pJdpMC6zeZE0C&AQ^S*SnIQo_U{e|`7&A$WgRVp@=#w(tW zg5C}|hjGbwSuro-h!6B;z~@*m!WG2%Wj^?deQK7&`Z8BGv_;+yMT6TiUz|l=ULWUq z$&<+bOJ4JMgPWmWclt+gIrcNwm%E4h7x#j|Rqj~yt1|x*L;fbB47fa+8rklk1Cm_!IS%d>muRc-r2_e ziHp7GIsRjb7?&E`5c{ng>>*B9Zwuo0%7)FPe$A6ih)1?4&3SlPc{Fj)w;a~5D^s59 zEmzti@;BaCj_1)dj`O)6){C9g75;if0nY!NF6-dGCgc2Vm7nvO(V2;x-B zo5M%8`(_Yvd-oXUr|@CK?|t#`C+b(k#d01BMe@CO}+b>m1Kj-(}z@zkuF#+KT$upZv0bxGOvtdUgIX&K)^%>`%l+P{!{Uy=Sn0sXqOQ ztHg@Pzb@Yh`4^|Q#;2rnbEQ3xt3Uzt>(0iFBCZSWfxnEG$g^%YW)Asyi?;K)HZDgV z?7#*ci95eLJg)w$c;1um)PX+d9QaGu2JxF=Ps7OHg}#EndHovkn8o)|=lWn~u9IrF z5Wm}2CxU#`{ub~tX$!$cv$3<_ANL&nD%lrY9j`x+xCy?><9aoO_kozfG3d8uIQ-SK ztLz`x{73jl=7U~jo5S%Z`UMi#t@&Q$J{k(Hi^u%{|MuTOuZwpE7r|#Z&+SfPT%Pd( zm%cgqUY+n6>qlS1eCgg}g2>06c+c~jv=iKm{I*F7#h>LQk1JCOxH}yF4RM=$DYz|u z8(g&WsepJwVptzkl>2?NQWKYBLJ*H?9S6PXbZRAWwKReCZRYa0%+!9+M>ax!MEDEL ziyU$m_cwiE9^$tVqp>d3)_u57+G*Q)TzgwOV1*%Dhc@O zjNiv>z16r6sC@jsW_MafUAIa6Uaw=z5{u7ufD=~WxriZiF>PFvVYi1+(Sfs;sp4VGJ>R2F# zxIX?D^tPA=7qto@KVr=taObxPTt2S~z5RplX)d4v#_JvWDiS_**FdlQ-=JT+=k5sN z<_@2yX6b+6Dy$Ins@W9i#frbcy_q|}-5y?d`rE0@tF`=*eB^+($g{iGfamw>60B1> z;TQOLL*8>8Hr|OiRm4Bzeua-j9h#0?cz^4f z=_lfDKs?U(?il!#;rL}- z7Wn8gK4HXd|2M4nZ;tW0T~9P|<(D7aWy*tj*Pm{{d8+;S_jbLgKkNI>G^95n_jo-% zn+3htIb;cO{U960>naulw*y}HOQC)X^Y1F&$N4djF7gcGcYgagKYyRcxWt$-Nu>9B zXZ#M+=R?ltj5c$K%X?|in^t}K9FHnxiK|rpUEZ!4g!txI*aNV~DxcuS85cGS$CAgRJGwTohiF3q7R{?kZHu1h!`j7De z6z7)l$d7PiFsv^^(6yed6A}&fu<_FSvXkRGqlVGa6iuJB>I^hcBwZ=Z~R0kJm@@ z`r3SNeE|8VX6(b4Y9s%u@Ex2}=KCY?5tFJxudn@y^{b}xzACDn;dy!Qhk3Enb8qM; z`yYISc)aVw5U2U34bMxTy?F2NCh+^X5kG?KNi~|1k0`emdOdk2xI4L@-^+gc5%c1; zXaFwf*BCJEbJJ%~KWkRpa*!k2l&O|6+OmMDkZHd)=bvbp7?HA1^llRQhfz z^?_bB&Vl&Fvs#E>41N#28JqtMo{Ndby+T~S$ogReIsUFLoZ7{(kDwQodxMKNb_8)* zGk|^kT7#RoV_3hsbR@W)b_ekY(P}#SS&|HYar-+S*TFULm!ITipU@{~N$0LS#C^sV z<9PHZ+2CU;RqaXbc1uI{ANViy>hB%HiHl}Ez~zYI-0y&kW8pWD|8A(p2Xg#P`Mu2M zDGR;V_X+kl6IOTt^aXze7o8`v&zO09pZUAiZS*sU?{)e>=GFAwX1&Hf-yVnFEgLYO zxbDLKD()@n+59=BZ3^)vlaU8I@f`2Za~jVg?wuXa`H>OW-&|Zp)Tc<^4{kO*gI>R> zf_sI0@)x+uSDyF7ZF5JFj|yD}E-QsIUwS_pyxVbb+nxQj?+o6ThWI0X{k6b8tOpjv zeOPqq#rlLjSVyvy|6=&$>J2VFDi1EY*Iz>1`K*VJU1fM4mt~n4Kz!?3=vBfr)UB5* zn%_@euG+1`Or;$?+@vMQ9_=&*VV7@2IpZ%%`>mw|AnjUUUfy z?!JD3Jm?cuaDUJu7y7j~C$PTrEWAiOk znZKHgepTYB?}>|J5!~!dl>7>uHkv{9+m{x*D4#*n?qxuclYXo%by=Z@2+q? zyAo;G-{g>c0i>4?>mh#8wF2);vybZl;zQ5E$2+FE9zGt2e0tZ1La$Q3K1Dh=Zx`xc zt`7!xHGaT)5qG+bqIMImz`bE}u`a}bmO<37ZIcJwtmeP-diipdB`!PmL%-_%d+5#9 zB79FC-=F!^X7G2d%~;ZVxd-uhPi{F${dvVQ4I%C-^L@icmdAPON=3#{yQ_B>{pxco zz~yff>=fKJ4eZW<|s) zBEI9gO-)@udVTB=`gLKx$b;Ln0sEv}$ba8A9~4BrneP6JQquJ{Z9V+u;>z$bZ*~qR z?vm>A`BIJlPA&2WZbCc+Al=zxyU6K85_ddd%C$ zasKzqKE%!ZT%7;di(Jp|`2L`8*Mh%y`Vr@0M-b}GHR1C`W&V)sWOzG1m+R$(-nHG$ z`_<@6b>JWVDg4E=jK4ehpF@7UGa2=neJA2KS%=|XBs%nmkN&+bxT-QCfySjJoGZ8F1Rwa zz~#J2=vN))eNvAP2KWBmIsyGwEz9%n&-Xny`BE}*`??K$#MNWat1JH4$4n94&+UrL zICorR|FJ1F-rZdP-q~MK=i<`#nZ$LrjPtSUL#`9!hjT%WUI%|ur~>jVM&(JMeqH-8 zaMvXbTpb-7<4G^>W!&>sXK=lC9rQXkk5}Zp$ogxG z2aw+R@OzCH9|?bN-NLTKRnmXl@BaSa;VS)nPGTO- z-9r8W#NTp#ss%onFOyn_&xJs~=eupZPnre4B7XUzC;IhvuSA|jy=5WfBl_?@rmH10 zZ{B7YarXn?GrfO%BOYBnQ+tZXeai3M^3f!&tNjs)q*n_A;4k)V=6PIlB8v3t&nz7O zv=G#ZJ@B+H>CK)d(Cd-qF~2U~OYFl=CxFY_8GnBqUT_Ba*v>n^&2OpfqkkGq+)e7u z{xi!X|Eg`+81mP5vV+U9S5OaT=+DTfP2>BFTX_z8xp>1+#4~Lq^s4_d==Hc$8vK{~ z?4Lgzd6sPoRHJ^?hKzObXCkL|h5Y}cyxjZykzSAIeM8S#h5goRJe}v| zUOdNHb|T_&kq1!Eo_|+xvn3GYHQ7o|pm;>17}nqI#C7#>DE49b-VgQf=59hfI(fV$ zy?lFseP*|TUiD2xop?{0@_I~^m`8Pd*(%c8t9_wY^%{cPBlr3e*C(c8T*B`#ug6UJ z@jh;*FXQpfpMt!3RW8j-A^l9gf68U6IiGu5%pxw!@p-CRS7!dS%0l99)+G3NWh$b6 z^ulKf{eH*iyL)jM`>>JH-cHn!3{AUyLCR?(PtfY_!8MUDc#=Ex@^lnWE z^G4tDJ@8r|o|kn)d4KyVbTa9^6=Qhbk2e7~*Ro6@{{R2}Z)U(8T5*Qv-`$Kx9ho{M zX43!nRvjDgezCdY4b<5WM^Ml5*gEK?&!5+cn=IL9rKErA=>4bhedj~mPjtjN)U(Sm z4cv9f1uhnr#X7PL0#A|NdsH9X{r(>NtyiD}-d9a6{(oimLhmT@7cF<5fPWPK{}8!! zavX6traAM2*|EM%ruanSwrW-Qh&Hpi-!ENzdR}_}rqZW(bsx?hUHke-==*$moVf8V zf%8HhP38Mxqd$&9Un}GPab@B6R_|3O?zdQF~YvRKc<&7;(yszrT4OYMh&T+e5@-X9sfr#W#pk g-f9Ye_scHy>kV(q{{NjhME>GtEzZNoMQ5e_4@1ZQm;e9( literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/6.npy b/MP_Data/pose1/13/6.npy new file mode 100644 index 0000000000000000000000000000000000000000..755e6c6f1a6c88620ad5ab3711fe0b9ee7ee172b GIT binary patch literal 13424 zcmeI2`G3vF+s22csMw>mwADdurKt29RU|`IiV}^YNSUY*u}6qCnUI7~2|=PFjD259 zE&WC)DxQAp?hp=JVlUAwxs+-`D=s*SAr< zI`#N?{=fYz&KNVdJKXTke-%f&UBqjnM4RdOsW*S(eWe>{SFxVw-Fvz7>J_wy6|_eO z-gI248fX`%a?ox=sonHmMeRk}p`G2&M!W1?(7rA85BI!o=#O^YIWh}Q)GnK@zK;G|tw6ikK+oHZg6BW-zUA7@^hy|??(KQP`Ky7{&K8xY=a(Kp zJM(G3)3x&gf8C%g;^%zBW#_|w8gtpT3q#MV_B{|EFW)}fwVM;cm+<_r1^vI3cLzM7 zEAq&_s~Xp?I=x1I<-S)}TsuFx7w!7wmT=e3KA`7~9r3`m>$l58Z%Pf@=Gv`IzK`d= z?MvgnbMT>iFUuvKckSZHhj?$gJ;tj@d;E`UHyv7Jxpw0}9&ro*qG$13S_=9X&k`TG zc9n6F=6~NJyz)gEPo0hzjz8ntxp!$iug-jU%5nYm-fQlar967<+QpCCDBi`v)c?i- zc-}m^K=C~I5YAfCIEX+H>aXon|`W3}bqFoHVwhH>? zr<2^P{GckHSJhU$a_^bf#5I}uFV;J$A>Kb8PR}p<742fo+%1mlljUoiKrtQV^{LO{JBLBVNMbWO~?p#27qw?rqHVJvlwX-dgbDXcJ zH~AXckLUuY{n}pG5*FHr~xpsN-Ch{!j74Z=H?^%OSXJoq90~hbRcH_5}<}Ii$ z+D-b@O|ISCICR&w+r=GG7i=SgFDvdj)3x*W{fQsT`rXB2E3aJ$-+Rr$Wy~e^lk81J}<6mVtlQ9NfGKK%BONpYqSw^QjvCe48KE8M~N=@!Br^pqEX0AWk#r z>S(7oEyf{lc5HR>nf_{_?+c6dC&{-m_3(i{mL|2r-h3UZ_^4~RNabo zts7UMJUHma$2os{A(`T=kV8JjZ_Gr$-^Wv&*@@Ke zgg>wk=q(ZOS4B^N>z`M&a(Z3o74)`B4E7WDP_mTktn^J&7mwUhVvO;qB1#F}1Kx#enV8p?{N0yxZ5{dTt@)K@^^$S%>s8qb{zvYU{zOCMlV9x@<=VyAP2j5bVf3p$-=E^ReNqv1XagkbS@(Yj z>&R5PiTLg2RB$mP5c|Jry91oRIY|0aXA@k%ddp#O7Uxg-|6&>Rw$BuB(UMa>`wm3j z#6#LQ%-#l+|8EPAhR@15#%Y85}bO z{$Ew6ysd}=SM`6!xg(Ad7o}>FKD!w7tVj*=Df1BhDvzv5@ZWY4aoQqojy zrfDLri~GJa5NE_v==B)|u0P)u@3`Gf_YLC}PW?Xq26{EikK%9pJ>7HOpEttkMe;q= zKkIS>+}1cW4E~|f(2JU9F)mxO8RkV@Ee^e|@EO(%3tkoDpYNlqv;kLFs$+ebZ{~M) zKKgJxxIEyC^p{{Jy&+uoBUr_#=-bBA@Y7{uH(g1oj?KbLP9PI#ZzfPilODvlN z|6bLJ*Drzf&dUuRkNE#gK)<%<3pxk8o$2f1WZxDB=UL~l|BIu^369I3`oPCT$CJKs z9qG9E+lTaRIJhaC6XCelv!T}`M$!3uc`53|#;qrxur#WN*}ii#ozLTas1rWD3*~?H zxf$>eYy^M(ZcA_#lQ7b86Br9_)Btc+^r5fgwkpk+@T*7q-FLb>f4;?s`prI$cv#pU zA>b{-z(vq7aJ8=l_5l`r37k!tgK@E9EpU#r*H;jy@c#wzo2g}|yMEogmowLR-j+`ZzR?) z%ZXm+`c+*e{B_UPl!pVW2RUx4(tg5y4^p11Jjp;j(bH(Y=0;(EV|$;^a(bIS1zeRV zYu$UkGFZD;c0UdMvM;VsJlD@JcHCt8l0IxB)qnj?^Bk8RvnW4b{f={oy{VVsxayvU zIQgP!@VCj2!ofFvjQs0NKdg7VcYA7PzFuc_p>gdmL;apF6b-&Mll)s%L7sJNJ;ZM& zZ$&(eFF_voSEIT(e=Tl-+aAj(KLI%n95;S+zMCI|5Wi}AEz@6AIzJUc!G z`gDdk)t(!OUwG9X?KrDI_i*(xgT}SBJ=TRj^a%Z$=lw`u;Ypg)>%glRm(WA84~S>J zlhAKK1pN7wE70>RF<3`>dRge%o*9VWG_EGlZ-+0yW%^)nvEtug$JJ-wk^lVf!EI!v z0pKEw^7c(Ja2+*js^fNPedxKpg89;Uer+8$cV1II7wrJ&Kh$WG>HKSCQ9fBF@$m5- z9XI6{fs34*;O5VqhwgK+u0{J8ORGrz#&zon|1gPo__$=~*`0;U9hZGl;Uk~Sgq{U^ z^oPFWmsBUW{-Sy5dU?9*S5~8aSiBsAb)ibWi*wv0{)Tax+>+3n)g5O#z1d3V5sUf| zdOfY-4EUU;`8BOq(YRjDf{(g!o5tl)p5~>^p(GcN+TM)ve<+Cfo9Ky-%ge7RpQSf~ zt22XoIe&iUGx+eF0IWN`r1CPS*ZVp`uj+k(@yeh9KRPa!?E#lx&!_$5zy-u<>JFzm zIkf`*a#P@s&R?W0gr4;}0&XTBj&nZd_%`HON4Caz#iR*~;qUP;^kVA2bPp-CJq z5%hV-yrg>?yIgOQ<0j`G^rlL0tQUT-KJp_&Z-cWTzY?$A5_5&I6)9a0OTwJAlBX53(`0%6Py23Zm+a>fpkD1*k3O=KQ zkY_ceDaOk~Y?s{F3v}K z{|c@(eJ>&BYA9;BO-An6GJnU9B@}qV%@8^8j zkg8PYDZgOeMPA-K#FKgp{i;DNz|Fzpv`=Qg2fgs2b4RrJ5m}+u^u}i*YZh-^U{n z51alX+QqL%wMW19aAEkEU*jVj*Y*YU`Ze9RO`*ge9G9_W!P#z4%)7{GH`{UZa1HVA z`XfJV%c~g2ZK>N>k7jZb>8JTFa$GzvLjBgQ2+r=kz&*zdTm)`9mccyopC2QB({(@T zz0T9P?j@&ZI{$WyNngG=^2tKNW;rf;Tm&ROY^Bew zEZ!H~KEH`NH=#ReTzO5vb)eU1_;eo!E~kW${#?c|^gFga@yfKX+Fw5U#&P|qF7d<- zSdS*7^+bOcr-`NfEQ!W=ZKvXk9hV=3KyOpxQU5xtZKUHmDFa;myd0cYE8E?1o?CG4 zf0YC-YWVnO=5yP%4)S1s4g#0DQ%lEL(H`JpGkyOi&kRL<+TP>A)vYXwvrM_l-t~dBPu6S|=I_RPHx*pY9uCfP*9ABqo=4xC=|)MEpBs;{ z?nJi{m>1o#Ik@=n*kI?w4|WANW$C=*HIfE8F2dU*9=2d-!Mqfn>-^1v(3`H^ZeC0E zS!p@$EplLgivPL?#UIp&;vfD3dQr#gEPN|&$GyU?`yG1SHyrV>!6Qbvc2=Ym^k!5a z;%_2HgU|OPpGzIU?ahE#$JH03!F2-Nb9kJc=D6Lu4*qIW5cH;wFZmZMLp~iIo^v|w z_YmXd4JaO4+5_X_8;|vc|JWAL%OX!n-}&Mw$7R-!#LHKPo~?+QfPQbUAl|nn^_v)# z;yB-472IBYfc;Ho4ISjT@f!iIufdtZ@}Cfi{moSU67|W0_JfPO z2hhv4bg$sQ+y%GM)uFdtlE*tAb8HPbuQC)|$G(aO_c%_x??`Z&yB6mKd)k2FocEf1 zb`QjTSX80&PXD+I>qw{6U+8?;Y2xx~b#V2K?;`lGSPLKZDu(7|%hm*c#Iu^>Zw$Hr{@nvT-(UKSi(A%NrQItlBoU9? zbOt``f?u5T;h$5U?YB*7-u)AYIX$n|0X|}J2=d9Uzc}+t^oP7A|2<5n{ z{{)3_C=58&ezonzmbK z!0*T(6n}4x`1#893*hfV>qtNR6yw!VW2k--x53}$GzXV!0x>RA5Wn)G-`!Mb64r}c zrYU~*i0Z9j#VIZx=2r~;%78fd@b!O%x_(WiXB7YOrQqh5joqDID$0XyN9$J{`n8MG z^R=na^T&(fulGz&ga5mR`b``{{tMD09oIioJgW3q^51t(Ic~>|h2GYjO1x2Q0(|Bz zBLAm8*vIt79QerH>Eyq13GP?w)$B>oU!P69?l<5%B7;819h?R(M!tf-`06tJ#j$wO z#~z}7_nt)kYj4_5?5cU-cK4JB=P%k7)KAJ<;)CyvbX+!||Nk&&PJ`=)Y>eZ)+9UXz z-wGif^Y>-MZ(0_d3oklhz3@G~hQt3v0M?N$GYspUd(GeEpYOvWEqwTdWcagNy@TMt z{T}%@Eckx@!k{1EGh__79@K-*{ovhLU(Dm~n zJoPm8H-1nxhJWp*s2_IKo8qk9q_=;*k4Qa7{#n6P51qb6KCRbK=(TEh+UaoJE7z~=R}x$;8HjwU^gd-BXAiY8Ip~)cZwoH2zl-}GU%QO*_B(yg$u|Aj6#g6N{}xpBaTu>WwhZSNYhM#_ zs;WV#2T`?BhSTdu2PqGo%bdsip`J70Q>z>N?GC!%^4s+nWajI6-g@G7>%d1g>J;U; z`s_dCKXwUxY`5<>Iv-YjJoK{6F~nm^sX(VUJ1&q<>rkr0V2=TgGmm)6TRr;T$s`TL zK5V+u{Y~DvgnqTon1y~ToW-CQ*YDX5>m0jOKHa|Y&-MG$Ab|E79=7PQp)m}}pnUpbi0eOdXf)s8Fw%ETjrX`dN; zV=?r2$t~nMgi`8ezPAaDHXwKhL~l5vS~2@P8LW8eqK}pODl{*KbwYXJkqe z;%8~q`Z+E}6{CJHU8M0Q%+t<~NBY8FJ-ZLC-aCqVNATn6#jk9UlA?RNSW;)mY`7a5Ub@!Xbq;O1=x&I2wWZ>Gjw z@_*+F@@#!N%|*Zdo5?414Dz6ps*i&IkSpZ#NlS2^{q_jQ^+`|oSiic&1E-MwXcO{J zrO(~EPoRRnTvu@MPZ#LL{D64$JK`hcP53mTeJ`p6K8Lcj1%t=l!4qc}> zQ(t4=73&(Cna^2#LH)1Xj5@d1SI~W9IMuV*80 zR~-PZ-x`4ZiUo{BJbHH>jMuJGR42PCW4|>=I#S&>Ka6pSPx`DvJP~W*V++&ozsh5M zbY{N43fu~=vd&O_o?C|e7|*@nqC;t{Q(h=}qSNaS3O;vK{Q=x;9|65yPUGdD|4#ZR zY1n^sW-j@!8wG#kT}(P39+C%c_xA_4BVPxD&!qLD-U$Sk9*w#?E_h>%SG7HX`-8rA z_A~!{Zrf9R>LW!kUwr2|!s} ziQF};rHh~KY7M)D&zcg@mA_(i3?>db*<#zi2D7jhoN57|N-w@}PV86BVdSG5`?o9aT zITI+Jr$wlq6NACk%&oZ0d~QxI z1?SfikT*8x&>Y8QvpwLp*HX&ow9jWa&h&I}`MNeZ-}3%^a8LRi#FA@KeR{=xxPs*FQN}qp4SGZjoN^I*^Vz~IlXAm2Klj-iebE}LJ0N~b8tH4=MjAmCRY76&FR@t32x;HI!8R~ z#5vBVd;rdmTn9JLzZm1VE=Au9v0|r*PY524e!p2x`Ak>`ZiBoBJ8lot_bMVcfp~+` zxW9?!&1v4t6{R@$r)+}H(@e_q5c)hW-`Y1d)5Y^75?r@@FNC)@W1iiXI-`AP@`|x>9H|qz^K4GX& z8SD*zu~>qePMp@!w05|ku(~neyanAW%tD_rZe09ODCq~#_l>4=sh*CTR`mUe;=Pa` zb@*Voi$|9(xIZi$O7r{A+f$rgKZwS>h&5l*e)V_>cz)CW|NS4#01sYs*42ev|Kbn# zDgqKFx!<+F8n=2i!IX%1H3j3Rk72rIaes?pAr=(@(H|vE@ z&N!XgS`Pa;PaT}$xUE`(_}V74&zsxQ>155ir`;3jrUEQFQ!3f__OHS(Cc@8fxp-@r-{?smq(#j6N};;(fjVwJz;qXa2D1Q z>rqU3Hq+@v-|Hvf|Jyq9uMjfVasE6HdO7?D>)QF3;Ze}H?Q+t+SO2!dxyC;&o& z;vYOXsA^+gwdv4?Rcr97Lj!}x1q~eS7Z^0e-|^N1M+W<6@!(+t$M|P`|DsO)`gLnm ztHC4r|L?y7j4`{c!!6&ePcgkuru$@G3v6oEhd%r76Zc&mx`B2c?Q!0HH=FNYb?ssV zwc8V&ZbKL3jdpS99@^QD)Xv-gf_8hTJ=%4~U9@X|YS%dz-Nf?+nxmcNjlJUh<#cK{ zC%w?lHwRMxanWeE3#nan*?7Y}&(+W5-;JKv3DmAqs@!qy;8|-pu+k*|oER z3m!VIJJ-j!RsEF5?z=g7aP2%aiQ*kJ z7jfw4f%N>9TZoT+5=D7^Qu~~Hj@=w+-KWs=@w~jTkDh=10OQyDuDybPN}IFJ-}bpc z^SU-qhU2PpD*CtEE#lX0ey6y*ZolW+?Sso0zj>X1Bc3n5BieEPa}4^G<}BKE-lM-b z&P>Q0_i5rP;(3*0(+BrmmYBaOHS1G(m92yJKSJ=l{+Nt*(XYxb$93CgU${@j?OpfD zJD$%evOeXBW~dXEyZ+PWS>J7u!+72{&P2QDcNBHTW%q6nE%99CK zoFBV%E5Jn2dKa*M3*tYgWUsqS;nvxo36wGDY= zy=qeX$dNl;yDqcqfos=Kx>8-f%>iFIzxo2#F4y^jv)3mtxp-`jq(sNLZVqnJ0x=GL zxz~KhZM#=kC+3$7tTTC_=?eJ#)`LzMFYRFn;ywCAg?u2lc})t)K0D z*xD1smz_mj%iFIa;Qv<-^vk<+qdZjb#kfS1?};ys1?Pd+<~qII+Z~*3O9WRBPtR~% zKFZz)Mq6<4u%Eo1)xnla92fH@P+j!vjr&WEoUPWySs2!9^#OY5}NmT#SpZZHgbeXSSb z)Q4(MaC#Lz5qT5CE5k=O&a>Kaaqtzm+WMTv)%lBAj@!58;LirFL;Xt?hK}&YNp+Q?e`7+sVCSGM5!Mj~?haYgmHfyq`(?z^VkSQx=jJob_%2 z&cEM>b*(%V#5=Ghd-<+?85 zru*OEqIg`0zYq$051PrhJ9a~Ic_K4hQCpTXOsF7Imn)3_?8% zziRWH4;y|5@tdK`sLnIz%yHcA+y^d39S7%iOJZDN`%!S#qdD@d!w*3(9>#*J(p8X8 zTPxJx`G{VtNq@tKc=g0^$CdYT(pS#|E*tw`A2U@hfOB;R^(>!OUhee#Unhpj8mILuTQr~MINMu=#v8I7di`+`&K}tdGjxbkNXaK5#mkya!=7O>*Im?*A>$!4-IL&_TnPt z`ZaBjfs2;q;UlJJ(z^SQO8U0#z*U={qcGmXyNFj-;Qanb==r13;HujT+^fuuve2s; z(NrfzA0wY){@rc9S^er!bZ_BRo6ve0`5B#eY2?qJ7l6O@JQRvJb8RL6q%z>lYZ2zr ztfT!zmY5D7v#*?)k)E-(T>{>FTnNbVc_DjAL&2yCEnl%>`UtRnY7Pz zdPwVK)lG1I<~z8rD{O0$IeClvw~fScbkoV)x>Hs zPA{HRCVt8T>s`O7js2YMj6uI9@h#3lxx4v~zFB(nEGNYiNcTfNCw`jaa+E)O%*v_I z^Nb79aeky8jcbkz#D}}g1^gNj}f1v-fW|X2`(PhZwmF>emafoO-G#Xtk?kf^Wfr$$0mKX#rf#+ zbgtRGg~8>cr-AUf9||8;_8P6P?)4%aw_ZIFj~y`@@tYR^ARf_%)`e2ga*RK%+;cq&%f)9HZI@)nL^)&Sxb%^4B{7*dM`Dr%wn--4!%``Z+ z(CJl!ncytm)4K2WrLP8mz6AZ6WQw0HJG%z_aDCE8?!ajXdCAvn(@@VbWbP}Ga^ z@7Ead%kNSUkEypBd5{a2{owp{zPmKuUw;PYr))jPSpxl@!shg(_&X`=C#v5Y_^Xt+ zR1cp8;e6!t8RAqq?oj-zKZZFUzP>Hu)Nu*moE4;X(f%3bXKnzv-kr3>>FqQNy(&D0 z_Md#)r=@0bIVTAIV#zh=MVnqBh|}K_dRrw9@!R*wE#XtG3AlVX5}b`1I>2#V;(Ks& zvL`t2a%qI)>ctt1%Pz?WE{^;X3%;N>^epN!=8GRZ*U@oy?q9?&D(?Xo-<|q4H4B?h z(!kY_--&;5siWia)oO6r_9pSAhsrr0lZW;(nY$GFmCKEvNOTCAYhmA%68Cg4V@19dM4DnBA0zFFZ)^*?)o4 zi?JVRyx&)VUT^qrp5tsm4ywb0>k*GOJ>X*xQ2odTB{47Rw;pp`JZ2N!OXZ91;3nU{ zQyf<%|AoK3@EbUL^$Po#9YXssE7Kn9j{D_Y=k(&YuF%UDWiVd8#&?M0vfe?8fA$L0 zxoLM2ajI3p6z8Cg)Nh?Q|I{o!>qhTi^2~8?o~Kci^Rb6hkY~}YEym08j9=rp8U2R( zE&c9_`z{K+jdDKX3cc^B-zw3%NF5UcUi%UB_W2NS9TRh<^E=&3FV-~oGdPIC`$B9la`*Z}C zJL&fXHt=#7e42Kr`pnT3sC-!BvME<*zvJ1&mW zxntfvCEln)FXv+uk|>^8HxQ5X^+UhLhxT)`{SR3k zp}$>={QrH2d6%t{d--PR<+0A-dO{G^ooaj@{-y)nKiQk9G+vJiEuD`jdIs~w3&udt z+xv|}ze~O0!>3fIy7kIHJgoj^($~?%AM>x^vo<&4)cgD?&Jcw-bsKu`u($Kz95GeG zaSyk<-@`{2q;pXBs5i;QZ;n%4nUq}c(Xo20<90LY*@3nguRR*k*Ku{K7<^cTLR1eQ zzgpxt3)}*3YmR_k*BbQ`_}e?Q@2!a={UGnv@F|p^@^-xpxGBFI?>qJ(y&tK{g)xsT z>@MQxk%uY&Tj+kvR>!YMb@4P?1Foj$M?P7H(1nicWto)E{|u({G_JaKTuh_;gMAW! z`m}p}s16h9y;cA211`P^Kt4^o|Im1wH=uP^{K{nH$Da5J5 z_^fr{qVKXk(67kew>@Tq+vH@Q)GWO%{3Y_h8g>PjGbal0<9)$ZS^E7=&HM^_-IU%V zn8#_vY5u#qmeb3$K*VV_N7DLww;k_Iat7VsbWb0u=XM^nZ>Q7mrL1K3z4y|6TBp5e zUlp@YQGIss!Mw093!31`m5li{mzXbOv+bk6G!p=7a7kfqr`ey0PnqJ`cES-09X|+*~t74rHk6OPcdw$<7 zbN(XJ|F&z_$F`uZ*trk5x3Gr8DL+$k(zr&qKt9E*f1prcyN&$6 z?neI4QbU|x%qdDf_E83WkF^~QpN*GjyghQ!xW1`|`>@U1lJu`%L9Zicggd?MFa%t8 zEld5@I6DQr)JBS@);HAeYL=c4h{d>g`*YZzRf<3A-&BmI z@kWJWf76d*=ywwP2j%UDC$yjY1XQ^_sZYVx_1wq< zZ(s6!b0yt~$1J1(NW8JYm z2Z<+p;=MyO%GAD2f1Li`M9)iu-fVq<_gpbQdt5ymW8PW4`aw=_wsnS&J}?-07C93_ z9Jl{`jr!q7>0DOdz4;aXceY@>@-+R(?L1XS)JtonQ5K{(9Iv=*7qVwBAFC;heSqoPl0+q2B>a<_rAJ##&zhR}b6J zcy~36aQ&*qSBU2_@UgLZmE)qzYjF16r8L){cz$l2`!qdh-7$U@`LvbJVBOi%x1hJ5 zH33(J!Us4X=6Muxs$reFVue0<}<<)w9WAN%v~80RAc zC?5G;CvfrLIrbCXaW3hH{0o2GwF>mSTMYSscZ}kB6 zU3ngQ?%Nmjz-IJ_a(Y{4Ec7hB<5{P(1fY!2l4ROwczajhsBQbrSsu0FVzLtYtM~$-0Y2q-nOlS z{nNykp9`P8bPh6)TF9sLpN{*p8MK3Z!kQs(Voi-DsaZZE&5O?EeIMb^-;}}rpjXg- zq8C?!4`(ZJj`L@+l+ToL;I?Vusfg#m7vM5q80jap!@jMn(Z0dvwgYD~&fp%Ri>^mJ z>Yt+Ivn^9NAKr=nZb5brM?A_W6z7*I<&8L5Sa;NeiLM_Hz26avr(ZETN7j9_z;S!H zH~d9)y5Fiu--OgGu4ep7{U%j~kLczd=D27`=L;LN0Y2(-z;Dh+O^$@#>^VmH@7}kA z)3f!oPGz1U$fx}yFXmS@h^BZp&V`RHv2q@Ks?z<9{d|Gy`LpZmrMlYrL@~VV7H~r{b zHsW{0&%C_o9$q{EKDtdQ5bjzg-EghyP3CdelIH&%96mE3YBXcHq3_j+@w|?7W3TZx$XK@3=il z>q{oDviO#MEZL*p0F1E>cO;6GWG-X>~&%^^huu~ zZ|eTn6wj|;Z*!a_cY}}m_5}5Ns08*g{+{-8z4{~OT`ihAIWYFPr0b zc^9XdRvhu0T1Suj7vn0{sp`wjaS_I75(z(4S#ZZP%l!@FFTS!{Q6VMPx2vfGq@P7 z(^WTcPgZ}@JwcTA1Lud&Kre1(ucMT|z)jCq_&rBO+^2CBkAS}l@f_&-mELskl8r`E zzk&JvzsOm@oTu9L@#Nm+txI z(oxj8jTk}kpBjpIbZPp#P+1~nu=8O>=$ukPzfisXGC34{*JbF{{9zP-=b61+JbDSe zcWcjSh(}jW#Jb=|1^H)egO5ph9pUsQB`4yy7bNOL&YD}_`P+eQC_jfj$Nb8h8Q6#Q zx~1T9cn|DLGVLP$zA>Nf!=m09@_C(SjPtjj4<-Nl-pIdhR_`bHx1xONoy*&EkSf|%D>3zza(o{d5o#>wPZBzKOSz~Bj$l}%DGi4LFxx56N?fw?) zSNNZ!aaE?jkJ7b<(0MeO_8(q#4ehssy3+es`a<&gb1K!(jD4tQ)3ZOgh-``Rilzmk zT%0^U`&=8_o9ZMiY>MNoStZoJe7+6w=nVcn(tN&5-+!aSM) zvjP5k7{&9VIk-Gg2k+4~Z5GC*iX5i-x^^@w)%pLtj^?XJ6!IpkonGp=YJHIO0c(iI z_|9`Y>pc#fck~7~QI%FXE`OQ>8 zl!p#SCiuF3OJwh3<(g97nii6d%XNLp->*Noe0V>=^()&`J@dU|XnrsH&4j-BPnZ|( z*$Uid=8Sdx|Ni~&%z!?A1@Dt=CjA|pJ)@`M@5vjCqW$IDxi?&WsK=jR-!{1_5Wn`# zb;o(3J$OG71A^eAK6bFEvn7hw*TCZ7deD2?=cCNB)U4-h{=d&Uon6!)`@DKNE7E<} z)*D=2KS2BN!KkrLFVg*X#oIeD&*G|D-Uac|K z`J4F1XWXZHPJhSF*T;-@dcAWb@yvekmnUbyzW@SQ~Cy6%tPsZ5JP;A(Cy+6S7wMn2`R#^_gi ze~LWI^m90O*uuKdbCwVN^5SW8(6707!uhKgOVBUxF$&!LnKPR=pmVV1^Vrn?0eP(X AfB*mh literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/8.npy b/MP_Data/pose1/13/8.npy new file mode 100644 index 0000000000000000000000000000000000000000..1c0cf7628a373e62196398013d0b7174229f3093 GIT binary patch literal 13424 zcmeI2_kWL9`2UZ+Rg}_}I@G3Bvv!UeReO)1juF)eA|Z%%5+h<%?4me!?7dY^OIsxk zO-Rf-HA<`18b!3_lk0Wm`wx77{e1Gv{kWg!b-&Jat~2jD?}Z(@x9`+Dn}`$>Dh&>f z7!+Qqp{&$+Nc~FHWu+k_!$*e?7}0-Z_~2mTtpDgQmtSQ51%7xdF!Q47_qj+{*CfFwW?p^D%RlMf&b*3p9aJcd?)BJ~*QwluaJgFX z(QV?QX(g09*9_%uFqi9Nn^3MNv_rYQ8i;b6RW4h{-=yc=uEr=AZFgKFe;b=s|JXNB z?mrsN{!KQcTrcEu@#lsc^t_t62IaamKd)D3#dos8FI4V3zJd1X4ztdZzYonSFI)`I z%Z`cM{@xuNmH$6~yF4%AcOiSOkdOH0rz=!$96#?)cSC%#N4u+3?$Y*NqH?i6%RlDX zuf*k!p2(xS9}Rz7{{`~vzWwhfDpzB7q1=8JJeQug<+J?%9Qy~Ai;}OhzR8+{RPIAV zekZQqxP5`Ha@)lFbhTyXr=$E)E8L3)<+&e+K6wn?@p9*=-0Yr;cKi0F&l7id-sAX+ zUw=U5a$!2xH~lwUMea3ENN4}*l#24)Iq|$b7xE)<-+ubfxGt;vn99wVyY$fr$sCbO)kI9bbedx`*hwjpIChQ8@Z>zP~it>Oy(}>G}nW$HGN=3PAReC#d z|9Z+Cx~gH7@x0!j@E_glX07nNeErmWbngmH#Pcrg5XxQ2lShe*8i|$Y>M!5DLsyyS z$LuQeYB%)02Hqp!ucn#zD&hw`uQ#NlT-VBT9nTkCcah3%Oc{>xWb9lEA6pUJchr~2Uls^~zyC8Q^PPj!iM!E5 z=aXIzisE^^I|kgwHxEbooJXiv49=ZK_oCarS*t zb7RuWMYoZEeKj}wSDV|dz)$Sve(4+lE+%GgOg^&z5ODw1Dfsx9A)|?__gZj&jXlKv zZDuW`fLz!b0rMiO}GiJ zkDe<>T;*uU`paz*r+c|;N?;}zgH|CPxipaHRgtK+q_?>TL+{7*N1Sd~weip&9mnfn zTow4p#4pznR~H|EyRV-@uLELc6PL*);IBhAWBlv2!4t?|?kdFnxIY)hi3vKsfVj$6 z3fxXy&Esl!(r3hN`Li77q;9M)xEkY7mf6I7;bw60uzxK4pZ)BX8=;l!@@)HJju4@H(##9ZxJoJT;=h#f91I|IN3&4qO=t ze|hs9xH#RTHR)x@Q}$^XjrGKTwayYZbyh%csvX8S7d0B9z2-?jzGNC!y|LzXxeSuT4 zq_+nj!$)_n4(_sD#kwRC=WsqJOiBsN)VXP?14-}B{)YDY4cCxQ85}r~%FSmy-`&Qq za6a$@lMU%*iC>|2&FUhbqTl35_>JBPZr@Kvy?Wd51@L*RIL4vbI1uC6H@Y>Se9XR| z5x;ojbLOv=#5~gX4ly5a3fz3NZwBer8{dGt&CNIu_d}tV&t|YbwKV5B^7dfT>*STp z7gqyU%e#yxZrvhqUEn4BMLrWsT$D=zx3TvyZuPjE%ZQsH=a?Tm2fe=jZZvWE_;2<< zmI&^@|6w|KghYF7u3fBeQ40HxIQ<5=?%tpGg`;Dz&baPnnD;xy@&E3*ze=%>nm-)e zq+a2DrxkPkKDSq2Z3?|U(2HXU$LBF`4`26GMg@WrdRiJm>8$z!Z2k|+l%&alwuL|77e6i<#;q_|K z%~8a451!ZN?KEEZju%D0=o7i1Hz5u9Jbm@vm1(^^DcL@8oI?F7q!yz4FH3SkjC9rNCX` z0L*utv)m-&Hj3Xn-1-;T2hGuY!KlCMOZ1mKc?s*k8B=Tqao@H-`<#m9eX~t~Ca&kd z$L+dN9^B@W;lxEBexH=11%*Zv?n2wFd72vdbNCfA(G0uUXQE{C)Qts8_ys4)OTz z4+apIJqCf>xe?6&J~@oI$&t!@({i-Scf7~zOuefd=lT7-K70{9kK$1s{{uIt-)4Qm zhP-~3rtJ?9eIL`Fe+^(6Uh7&jWPJ>(hJ>oZ84y+^}HGLN9RgETLebe11Eh4?25)1CO z7sL5Y_bqCP+f|D=Z+C7X9;X(pgT7g9?#I6mVf?$~A65`|jpCtK$=7+`i9PlOan*A% z;t}=c!C#Gj?-TG^6|f%K#aa7>p2_RX-Y%@aP!#pb8aI(Q5q^y0ssA?etlOMlhpp$Wqi>DxH0bjK(_PmZZ!` z%+%Y2k;sD!x(>alc49Q?eeOcg`@0Jfzc}8oDR{TK;NsgbaAgMeB`z{Lu>ZLraM$2! z2yt~F3GH&P6atsKex60#Zmj~nE6eA69~t`*d^$bn_$z$P{kXkMn?&*nNCG#{PJ+vI zT{;ujv8$MGz6b6f?hYVslVZSKT4|2+@+XMX7wwC9Wcp(0?cMI1s9tk%0ra}?Qr54^ zGnBY{(ggW2Uq9l0d2}$I{MBb!%Ki3zWvUsUC@b15D@hxa3wvpcvMJTr#4bN|BMU)uw2 zCx18y{<&&$erk2XytAE7Zy>#hYYV-qQ3mZbrQaU}{^pn9=2Oe--ixgq=dv*5LFU*D zfBpIVA>{A&t>$_MC4u{D-%TYSJ7hoi`-b+MpOKB%!GAEn@2ew!;k==`{yL3(WB~8K zYUt}cFS_tP<;1V>m&ba8>-v$%k9m}JuFlxX`c=zg$;Z#-bDFQ)5bgCPCQcx3!}vYR zRLwxWzVQv56LjOx;jflH1=m~4L+{qcGT(m}+*UpVZhqkX)GUt!H*Vfo@>d}pk!Lq2 z5bgDgr;ZKGKC;|Zptr}@g4==T>Jqo#WJCPAMlj;k_o^XIxsu;I%=&!TN5uB#IETwxyuQh1QHaMp zG?M}|eT?S#MV*}RQ8(^{5%)zhP_KCQA=)dR77rpWI~C^fHZuVIE;ruBek#gr;W)n! zgReCsI5;`TfWaDT;pdQx9|eJ00s| zFQQ%Me$WciyMOpQjE*dbe2PUMEFvyP@OjB!9}2xKmE97z7x?_3vWH=Oy16Nz64zJw zz17rh#N&VCd5m+@>oB+XNmFo@Sb02r(#COq%n)$%+QU)AMXffR2fqVccdpclxSUy; zeUkU_y4UGKOd#n;PDXyr(`jh0eCxZl#O;lK(EI;p^1QgUCj$Jn<=`rM3-faudl8p+ zdEd8};=x7Bq74!=xk@jOys3xXz}1VZ9}u?%dw|Pq{Qb@D-dK;g$vqC-mP$pO@@~G` z#P$4Ph|^w=;W+Ddz^oz`q z5B(yS%FYd$Oh=utaxzu znZ-FuXAeiem>M5|t0L=%2WE!vmvsXdMazQAu^omHm&;or9y5afzhv?rSw{YTVV~Pn zu7BCd=V5!RM8Y9M8mV(2HyP#t;`W zH~akd@B;2T4;(>P|M(p1d*+3Yzfl2s_Bq~%UhC)3tEmgelis}58(f?(4ZSJ;V+?Us zU^TeC*c|oRC5sk7f37t1g!@?Ee3J&qvw9u^?q|kw{15Blyy|OK{sqr{lL&4*RM|}T zZfFYY-%4iQ{rocGzDFtMKRxI1ynaCYMB=5Uqg}?I=XJZ!oAZh5m?_{sWenCgH~9D2 z#7$ENuD1Ni>v`w%IKSyM7P&jRcpo%3;4S zwW=XbH;cckxYG@h2UBn$*Sp7I9@&98*C3t=%-zij;HGK5wZz@_weS&Jqq!f)1;hqs za+!NQeB`-VSWnCejrG%2{f^@)9mf9EkIy3?`RO;zSG@`Dp3g@fS1+%(E*5l>2G=uNhAh{uQK*Ti)m9-nSi9gcJB`H>W-{_gLb#8nZV7c%`vv{w{diuT&ghW&E|@Om}!Dt{+gP=xbP+Q46QoR0n1)OrTJDKdfi z+?RdH-wm4%y*=_Z=DQyJ2>Yx|%Nh@h_i>&t82-+7GzmUJw?TV#j=U2RGkxrLDI8Be z_K}sYOd+n)eq|nWNB>ro`3x@R@NDTy>+pEK(t5?<=)DaYLiMU$kD<4D*MOT&5kaVT{sZ>e zF^csQ4)i3w%NY;uKH7*p`(w?PBA(Zdf$N(ipcm;yM-#UbzF?oGS^YR-wjpkMj%A+| z{{Nt9@cslDZS z36Bwvn~@!QJt&%e4)gzablFGK$lpKZ@nat?f!+>G2q!L{@;+kPYy#Kw3XLVM;;ys* zhe_PtT~(uqyLP{GJW>C!KDh|?NB?bp^t<@F8|I7eoeX~!(G>GY3>t&^E<@++4b1eB zBl!0v^64!2xMgL#kiVI62mZeId~j8wVL#%w=V)+qs2}E+Jv$QXkACGSxGGo*+_d=u z<6O6oV*P{q;OhI&pm&?DfXj?jtZyP?M>Y7@sLkX5as|X`7sL*tINhho?BC^Mj0auz z0oD^!b}+YBbVwncdFvz07g?(zV7eZP9;kab_Ut-@S@BUEBt6UF?q~#6>!fD-~K7Tou?qj<`O$0D9?brQu%Ym0P32mbQqD)R9a9p`Nme+LsKR$(8P zk7B@W?J?Y6A61%4dQn+|3pI}Gt-5dwaW(G(>Xozk|G8#fvroa7^1O57UuB<>Ge02i zde(#9U7v*Zx_nLMBxZ6wr!?Z!VO@Ej8vO1`(%V2@_r$*e$b;=zeIaqvk^jH%oAdcr zfA#Y!^0Cts;BQi@!pE0fjrs0|SB1aqwh2C&@0okZN4`IX^*4Ut{Kts4@&6Wl@};pXbBJ9Gio6*uK39KKj%Z)T_G%Eg~P+QK4Sf{3U$s-+Q>;da=;k zh-dH-V=EYn$5qQZ=X^Ss=S4u+3i44&9`(BK+hE+fRiB_AMI>_*{*?L1IvdExUvAC) z9y*A93S?{{F4BvEt7^Re`h2PDh^s3C+)iGA@$WNY;A48di+V+DGfz6VRZXU=oyNac zkq>I}I?%T&kGCbfkI2{JIS=x7a3Vcd?FD>%^kuYHK3HeTN2XL~KJGr};d%*-H@`L; z^FjsDFMj*UNu)Qy*}?7M!&tBUkZSLfzgZ*^zbKsbe}}oHc^{n4`>AVi4DrjUH;`x9 zg4YvSyb-vH?Xnc{bXvvrPPxeYg+B-%y)6y><(3siJmT+`QKYvgw{yQw&jT)BzdwPv zD7gsST*?Nne=Li7b%*QlmwT=w&+7Y-<TgSedD zn&T|W=XNzR7uGR#n)ea=!%OtLum4JPVy52gXO$7gk-}}_*P+rG2WXC?`vsXmDwn_}fgRM4XF5|uOoa;Zp-Hc z9oY@sm)HrtD#iPzd*=eUY*`%Nb9C}8_}E5cG5+O<;E$s zmsdM54{g?qxUF6b?G*vZR|6?uGNTb)Wzq9T{?n6K7mX{}xUL5+50_J&cH_;nG!}^zUYs5%$@SczdmlJkiQ%*m@mJK@!-eh=}CIw>wqi4{pE&7 zk0QNk8UgORtbtzC>4*H-c6>gO4Mt&Js5up%94DLhJTGkC&%wp&iI~5#*I8~?Y*UO+ zpT7dm8$N0WxSG2W?UL7@#~_}7d8pU*p2qRFI?m&{b}x>nQFFA{-+PGl){LA2Zd5Py zi~lYG?~itODV|^DcOxEib%jM9W*uk$PxyU7_dSAfVsAHMeQwF)>cRE|NUmroav?}VI7v&(+d!{zrM=tdcKAC!3Gn%5O@D} z0M|*|c-`($C7igNJRV#`r?EbCAm^>}8gLW4hu5D0{THEL9f$j#Iph*-Ls^;xP2S55JGg=KW?T zQam?@gWID2pk1~~6y}|u%kM{O%S!IAr1q;wFTehT>ka)2Tx`to1$-X!`9~%2d$+ig za|LnLllMmvo15pwH{r4HX)ypkYI$~W`#2r_E)#;l&8c$WKH*iIPyB^QuD2bZE8M^Z z$eUQ5^*hhLft;V(kNXEwy#x82Dc&3aZkjH|IndqehkkJ>w>N`_9n)YdpeHJEvj)O#*MF1{|0zM1H1>RUxtE<2M4jv z+s_9tNF;r~VEBkyU9oPvPc_D~xm*O?UE$xSnQ85pk>1|!be??u0{)$tzdxfr?o$@0 z(pBysig}^+zG%{`_}9Vp@Bx^Qu0_`WyU*-TA-!$#6ZRMP;Zpd!4+ZpgJfBS^E^pd7Ja>rS*UUeIu%3&a|3dHjYP46> zncRfpZVQr=Hz+yysd1Hjers^DgKx0#9m1O9~Le*gdg literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/13/9.npy b/MP_Data/pose1/13/9.npy new file mode 100644 index 0000000000000000000000000000000000000000..36bc1b2678874ed1f04185cc61a5afc4f2136db2 GIT binary patch literal 13424 zcmeI2_g_{w*v2DhwJMIfciel`N~w#u7cLyQ35p9hih_tn1aTs$g}S5Gg|-e{6_w-O z8}}fsdn@k!lI!L#cz=CgetAC6H`lpx=gys+oWnD}eb;s!dt_qcSZGE60b}|HR; zHW=tpu^O*9aAe@vK)(^bBLn>hSl+^K*q8z7e9U0KQ3KMySE}vq{&Tg;)p!{H-~MH1 zjEOrB;QDS2$bUw|+ty!3QoHC<0PQ?*7+v4m1MN-> zwaaZQ{Q~L&B}bZ-dx#B*rc5p;d>^GmqC z+cWeh{WDYlKNL3b+1&xxv!h9Lea#v)j_U6z{@A$l@Xyko=Jng;81&EDM5Nhv zUVS&NS1tEEwC%j}8 z&6j_*-(_M}T(36tsfF+T!f?Imu$9^a^Y68s5AmyLKlQ;U5Ac1?F&B~koy{9_3)c<0 z_@a^h?sA64?QzaUq<_`JH>BEjHOje)_W#PDe^s)JE86?MN4@Cf3IC$~6LL zE$|aNb6>FSV(K&GNj&_5cIlp_YjQg0*SkGMd*?mKo19WUv-KBz*&N$0;__4bv^JP0 zR?Y=+>sB}C*>>aiE4UMV;X2~|Eoz13thqb5E*41Z<#IvjRrph^6KC3WtTS0H&tj{W zHETm}j{XcE_F~&g%atw%F1E^R*57d*1%J861)TNrzXHBuQmoZ$_wlG_XYE9AemZ`% zZI=nJsNdgyyllVgq;E5=Ud22H7b*2nKdSaqjGLWzz**{b)HTl$8D{ltQ#H@7afaWeof^h z=(*_uu1o+pTU2c}^uPBepFfhp#m)odpT7@r*%o!gpN9rpJwN9`KDSC^Uc`Wv%Pp4y zSx7&;63y2>mw5PR3q)NwnS0XuD%xCort9^Og^(W=aG&yAtaW3nXXWl7|I9lR&F{EF zZ7kQtHi7FQIf*A+t!;fojsCR%Y&rlR8T0!X%Xv&=_{+pZaO1|BTkfPDB%dskF^@9# zkCE1&P5nYXJI8~w-Q5RUZo0>SJA+n{e$p3z%Tpc=)tNv`%xsZDRF0RFeOK?ugUbF*q3d<6~(b{8AP^qHg>O%jNXv#K*pd zUI%`iX}RM?_cz&mE!BVaxKQiQpX9*2@Nt=`PB!eFXE}>03huOA4$hk$jJDjkpQgM` z=>je;FQ+=3v>IH;Cy@S7_b98^!)QI~`uoX0pwTSL<-DWNvorsaKF{E(mOFd=!JWiS zs5gFayrh0}A|7_@7UFlNjKwn@3s)x1czU9Uic&7Wa`BCs! zzh$C&+m;FI(afp=Zbruw&)L47_2He}!TH4+$fsUZyp!eZ;SKnUq@3X5(8mPpulglY z{5xr#syH2E^`hFpf~ffe*XCneukgW4iTW@6+I;!)sFBe7mEr_?wxO z&r|AxXSz&Jt1!UoP548M*ZFue#d7s$$^`o;$WCyXd>q`2 zUN;T;FZ*e{3kC8ZI|oCr=0<|+R;4M=?K)$hF)fymKB^|=dF?&y!>aRqa1)aWT-Uof z6#hYH!TI&aROkHJLhy3LS)mJvhZQf1JjmcT(2F$=@oY|{)$^|pB=*XMK(Hx0C$_*01^yih2-Zo=`r$12%c4`>=d;Zc!5(Q9YNv5@-E& zz@54^q34%>1=kaOurKlTcY|!d^4>kvKQD3@oaGxBh1(m=_-5 z3cc=C59>wmnGxn`$K~4uoGq)2^<_@h?G2wUlS%)oKGqA%y$N+?4ljVeS@wzYKQ%M@ zlWTuxKyR}T0{_rV!m z{cW7iFJCZU-0d>csI_2kul_h`jNAc@`z7>v`xtsuOR@zu4M1*81oT)!=VRH$nc*R+k{l<>gS~ z(L-ro%5N`jIm=D+<+QB|E(^`?WBtYbYLthzrx1_HyRo0;@^1-lN{s?%U*`;ie&acc z|K>uBOSu-qeOz3+ia7O=EfoK;ymM{8rtK$imYYM*`V6m|IXOAuf{L8{(ATX z>Nj}?;?#wkVZDfKUCIAd9>k*;ui9vRct^UgnP$Xg7r#-~M~sN2j`nT0Pxw|7y?$?awckY2< z;3MgL!Ydr7JeNPT)cUaU)6lQ;dkFS7nKoyE)w9y!G+*6*!ud^RE~G6t-{(@^c4wR` z62`8Aep?OlNlQfii@2kUp+7wvdfEO4?mN25&?S~Tv9X9#<&TCx|Fy>u%XL~A?1$=^ zC)T?fJstauy3&F2KR*xhCj9eEO1AnByWsC^EJ=0pa`t@d!z*k-JiOZq1?@J zp9-!@uL9R=dgX^cn&&>d?;C0m|#IOQSmHuO$Jg>hET zXJse7e>BBkIpJ6Ee|`p6vxgEtnAX#B+1v}9XX^&;T>CKqe8X{!OZfZ*$d+SVtn3%Oa2$dKVUfd zWd0ZNupbIwUR37-(Ka5@ht8#Db7ydK>_xccD(WMA*f)B=U`8cN^xL*7e4PAku!Hh0=luH~#Oc%=L3!ZosIJyt>Tmt|Bzpc*olX*; z+9CozBR12#`?aL;4y~}ta_*Xjew|aVao%v+u8y!iauq%A2%i$Pu5*`&f`88k(2JgZ z!F5V8Ixqcr2i$Dl46b&%L$6xV{>iR zJkuxWS&eDnj@uK`_gfii^~|j$I8UMX2{K>sc=%**hdi5{4KQBasML7Rbh$Hb6X}n9 zMV?LVeNoV_4+mGHXulGXbDLQ1Oz{O5tJ0{>$L{Z9ec0{4iQh>@Ji7NHoPSj94(ONp z9-;Uzb;o^29Hr+G7I~3;?uX<2Ac|9cs(v?+A7^?kdX6|j=T9~zk@mOo`vO!34|fu2Wen%^uF-4XxO zjOXa?{)m&eOT+n4O`i%MbtNnABfL&`oZH37ckmJ8gAot={x!_T&v#Q@nI^9A(HC~( zyrlY)Ua?jfuO8c|m(|NZveUe8%!zpyw@%@HD&A0>;xxUFQtw|)g8%f}SdZ-XTsXFVCZ$>92)+ybbinyN1#59%hdqOorsL*R@dLaMW+Q+54(5Jc%Rk> z=X*bfSiNE6z?}#ENWb@fAbdPpQl7&T!1dOZU7&AYp7cvLVLi%}-r=6^!}HGf8f!Pc|@!^!v^tPPXIbuU0R@22z|aCm>Eyr7E7AM8Rd` z6JHnkch)_?eaab{@f_zmE}EB8u2_#MJ|E3v&jL$rzfKO) z^U+VCXPHx%ST4uXzNB;eK`)$>c;1osX@5}DOM$Z&$;;rgD=+z{)u%XXA4ELP>S2h- zv}%v>>V?6BJZ-;m(KIeGhUTl}f347O^h$7NKAlgT-#=m9>477Vf974Ed~!F%xztqX zMDw+U?sw|hA2n~D#?xFu5*HithdpFB|7g2uDi<((zyu06G zKNRjyp_dc#q*xtyOT@WCW$!W#M;v1;FBv8^sIz0xG7s}g5}z;HaJgdP5Q%Y zr&!J=4Fy*zhT{2J6XyXZd?opZQr>vv>L9Ck2Dn1+G<$vt-*bkHfd5Y!@mzF;k29h0 zVE9-2h2n{OOL`U;V!5o=jr!eH7UX^d&a1p~x%=>Yyc1lNuCd;J=UdN^PtY-Nk>%n-%jKLR;LeA4sAqk< zL)+wZu41RsJi1-P{wzxV6l=M;5k`DS5cW6cw`;SYzqSwDsq~!o^RqjqTh2o7f(!4m z(2E^QCt5DfuK`!VqrlnY8Ika*b(Hw8{TfK@?XI9oPSVd(%AA^{U$n>i5Ys)UEIvJp}RS!{DOT zaQLX2tLZ)SmV?x9VqtJ6UkLIb*KMGD4&8x#O7|w1U-QlzdL7>nob|}2t-r}xfyTA0 zJmN8?u^;06PW37O%6R|awjTAyP9#FFO6R#~pSS>sEOe0QyX9F@B9)@@hmuu_0Fme z!hKeCpn4Fq=skd$K9K6F;|chP#P%4k^o$L~cqg3$ca|Q7k9b%|S?+9n0L~uXK9BxN ztR7=O*@cDZ*Q~vbe6rcmwC?g;As_d~;5^R(X?@h0e@K74GWr!APQ+Rt^C|^gU09BO zP5m9qE!V|p9XT#_FkW7^X^iy|0b41a9*w|t{VP$Hvjz0~1CgU6Vm+xMHi-Ut+ak9qI#QC4_ zH=llsw|f1{ZtAz~Na&USfiaew-HS-yDioamJ6u7(I0&2_m<29=DK*V^(Ga_RR3+$s4D+&S2K ztmV$*Y{ul|5xlRbAcq;b7`jWMMY5$r055-fv2)OArXtLFdZNcE$#~qxXR?wTJS4ltlEcQ1u z_UEcrug=s&{JLvt#HpXp?(b>&p;OSCT)n8?uAi9-{{TO#w>#}GSRMOT73)R$wjzGL zKh_Idns+jMLVgC9eV1Te@Rt6<`tY7vN$))b^UH#oxItf-_HFYiEA5BRmSNtVqr{z? z?cr~pyio8NPR~1P@LsHI-7OL4ZE=Fm8!DXM6N*v2rdxm3`6~J~y_VBCq05^%@QKqf zUiqOWc>4b*gDvMx=R&VG)VOTF8`t-APAC})z35m2`E(+h1Si|}TkFZ^xhL`_@?MLx z+^L)w^}v_BhrjyGjrNC5dniB8OTb5zUWfa*Y&MyA)r|M0>+4Uo{mYo*6o39P(92!X zL5R!!0`=Rj1^JwBLg%s7iz&{Rxrjgi)Y$5sGQWW9!}R+Bmf(wXrdnA9aXR_DP!Fa- z{kJSRor{`ue>Z*=$!FmVtS{BD0{q3! zrSNfL+HJKyYy#D}@;pKLFIdaV`sgimzA|rba0s7VJ)5vFM68cpx5zw=rUemZ%mRB|&(6y@j8}e-L7vTr`lxd=E#rQAYB$CIVm{8{YGgkeS6L6@7uLjEf75UYIDdXF75)9- zf;jngs&jrh2gT#vV}fmGJOOd?x|xX2dld?w#dIHWK7GcxoIG4vu2$cGzsYhFd3I(D zT!enI)A}_D8NaW{n;Z=N)AR5b&phFyQ+HwADVOiy%B?cxb8qtytJiC3zE~Rl-_{IE zK)-TdYZ~w6&ZIB8Jksi&MtP7o?p+=6m?B^Pwp?tb-y5<%N1>Nq1+kBbx;JQE`hUf| zi;J&RvK`k?wC+Uh?UetGgK^%FmFS$tA3cO#u5)lsW3yHv9=3ub&+<`An-%$ z$J!62eQ9NG+^1O0a_CoPQScYL3Sqw$C7M%R`5(ZznD>wb>%&&AMIK~5`n`wpX*?-8 z9n0xkz;((Q#3Q`}r&!Lt_k#0s*=e2j?SuQ8GltFy&M_ZwHnSP@GVvPp&Vx(fa$wn^ z)<>1OL;cO@V^Ak=MJDapTF|9@rZ_L)bGEO5sxWz8tcM*stdh3l}Pj0qvS-y|KKzESL==X zQ8SJ-wf@eMhNRzA9`mc*wqqY=TQkm?tQ+=2`DXYW^y{&W;@NzH)_YI?5tch6`%*k> z==TQ9rw-N;3;0I*9Q5AIDAN`3bgx7Do9AhM3(X3&@rWxU!Fm0qs2|>w`CG1z)A__n z8IC-&CExQvpR|H}+Rg_z^$yVb?Q$CZvLX$sKGVkGe#8Sdf=jD>(VtVYm#06wG<<*i6e1o{mOqkiwx@0!ezoY;rO)55er99T#3+})(D-uaM3 z<2uv^^C+jkK%JNY9<&~h6~H{Q8i&_ez4^zN^aJaI^Y6p(9IaM`BYy6Agx2HBi4it_ zC6d<-GBg%3! z%oloIj`k}Ncop+5PIV_AR+`q=wOlx#ugj7a zKiiS?F?~sYJZFIIS4H$h{!QlLm|s=C>rAURpGSdfUQ@Bp^M@O;AM%F((f(5XDV+yi zcAstaB3lwT^Pu-Us%qI-aB+;DdmGd5#F%fVv9^EJxiGj`NAK-rz0)Dk-@Sq7TQMyd z>yB^of)87j1g=_i12^|O##=q>9Yy-QEfJ5ZA1STB({Jtt`^jUbVBP6sBgR<0^Cc6w z^JgLW$cuOJKFw*p@VwQ_x}|XcVwZ=bUs+%p^!jZb+^5)w(2>?hg!YGCPtN%NU8;_R zzdUx%`Zz&(X}zE79Sz=o0JzF_2LAf|KjeR84SdYVp2)KtJR9$GWb<(7S*x{_=QW>k iK6KtcJ8S*LOfNb|`NhV-e@k6(xx3_~g)W*kNYwe8^MpZ*8T5FJIh+XYVY+;ayJrc2mkU{K3B$h;o2|{UOm(rF@ zX(@`@Qn8NKQaiDgQcvbO`3s)6&*RPgxxaJ$t~qn&%<{`EzH_fmUHj%?6WLU+z@YI% z!@Qbuuja#=c-7`!!$QKs!v>EX6cQE~ z2hc7b&O7MZO?P_UG~9#n37-O&T^zd3k}GImmD_%}1jS#sFSSQBx#ZgQ3ToGrZrpLt zsbd}C!#*DUvujuF-co)Oo?dnBI&cZv&7#eTuHEF0PqrEKz_p7)9C{i2B;B?1lXvbr z&a?NQcb{x;>O<)K>SVcg7Eqh=U-1#RdHwF0YuDrbkGXdBxSNGOy$bRs@3*J^6PjeZ zcK+iPJg=+&fKNVk?F;BDC7yEa_ICCa_nj9_JLf)i(K*-gJ!;A`*RDHlr~YjM`q$nw z@x1=8+F94mH-3P;>-)XYzbZ8x@u(NsPhC5^vAQ*`s9=MSxT>%QAhH*e2yyzBm&?z=7@j_2j;G_q^|La~}bmPy4$Mm!3h0-oH>CKRYy~%M#>2<%CB6LUXUf~%=JTD8wcgO%pZ){4 zd*bFguAlmVt5z*&Klow>>07lVp0Ny^bw9Vz>CO1obi6!7-v^O~S?9%~0z5GZ&^%>@oJ@|2=dZq(INke3OaiOFkTvk;7&AOW-_CgR6xXgB@q%$Aasqv&2)54u<}EN8%&j zhreYZwVWScO#2b*6M;C@*`C-R#L;Mq$1iuk{I^Lfr&srV;bUqqB%eN!Q^B|UBX1&a zAIigm`Rg3l<|MdY{t4wFx&LCvjih{>f~$}vbDUlUpCkRY+vM+kashnGYzJ5C z3Zt%M#O9ff+rZp&I_wfSANjJo^`n~^+6UTR1Gja@U|j6?JL{aD9ejX1 z@E=k!FT5Ua?d$kp@)yV7$9k9Hk&#X>2aTdQJqwfnoD=bmt9_E{HBGRMtwKDu;u^2w}?I7QSiw2pp{ zM*Ql{kaNzLMHgA_K1FB{`8TXY`mZiwJ*wJtKM-$zr13U8=I#91#mdl&_WdcJ$t6E_ z+}=A5f7_%!t?TTO-#UNpvy%L?x?x-@W_>JtB7Xsw)5n2xum8aLh{53cKu`DxKD@Kj ztBaGt?QhM%P3t>>j+=r1psn{l>oed$!}e^+s@2cm(C2MPc39ug8Lm@4liu-|ZIQ^m-}n8|-F3 zaD8I@MEIvglF!sy;C%F%VeqfMllY?2G>lV7<>-zUS550MC67wQY=K)u37vNkl1G-OgJ}QdNS#kRn;;}_mp>A2Zg3#My z$>4I?Rm`JkO`Ltz0bHxm(90m|m&cR@=O=vTI)8nL#>L;&AfNuJ(-HsUZz%rSbl#by zxtL#lGzFY541r#?YKHY_t|Wk)j+?**zl=Oc)&-n>_9b2=80&>M z?1}tK|7qmkusZ65w;YIbR^RLhuFH0VUhOG}eMWm!rTDk+LBBHjKhzt$_Z0s8pN6#F zZ~0=r_*O~%ma0kT;5Yw_aB;H1R}jCLUKn{0o&KGR_}hO8fAQ}|oU>wX1?jl-ECwHS zq&x8|5#f%jwjmTx#ntdkk&8992vTqk-(IL^Kv0M6R11~1zV(;j<60sf zt(Jp}8;PSF=L2_8oJaR!T=KhrvEPc!{fJW+xrz9ds=W_JZsqpu&LwTs5f_T*VP{d>BML{nI_osTE@H5t(&9@l++F}~-MRM!3Z5Y=U zZ;Eq6FpaC@k};0UAzy>DEsrSvpBpE;e$_u==+}IyQMV>w?h2>Z8$!WVgKBs$k^|eO zz`w_2>NoX$TEAlX2Jmu~pcgGJW4+5Yd6FIHKaPgpw9CCWmdp=seRKEoc5C5piiLzZ zy*f_&q<$Gl>%IAv6&X3)-2DRas}GtY54vjpY2Yss;m;O#r+Vo4cA4|B+hY-rop6%! zIp$J7@TD0vuGc5PWyRUe9akQ7zN<#l5x;#=Cd~Qko>}ncFKg2KXP1-lPH*borg(Ng zrTE7+neMm0V=tgzIWhvA?M_Z~dcBkOc@q~)`@o0-I2Y8DzBkY= z?m@2xWlh2Ng7@IVPp2b(-T$henLai!lSo^K`YOJ+(0 zxbQ0rAKsvD4fwnY05?6`fs4$RgB|C8cq1PB{1AMYXT7f-*8@UGKi^P1A&H1zOsb0f z@S$ZfFJ{$s?5jMJ=27~jf{RVPXkYEJ9OGh(n^0Zt?HKRk*NrZNtBS3lm)pwVd=XtP zkUsb@;?bqn0oZfD(3B6hOCB|!Cwi@a!i|g&PQ3Q6Y(S+{(4`T zKHz39^m5ik>NjaQ&IPt033*nZPQZBCg`QZyJS7WyJERioUj*L6{$|V2`;HmX7F=cb zpX2=bs*~g&w1C#jNMGdHPCrI*MqeS`uMYJ3-CojH8HVwSdqXB6&VVK0?Awn?-#HPS zZKi#XeMmg#537@%-lWmJ(Ik{3{pCIpj?0yG;G;&Q<36Kff53e}ys3}+QME>6ysFuZ zNZ%a2h^G6ADNzOal$%>noeUZZAM@{P%)4pYt}Xfv6X3dbIn0ZG9N*LVaGwNlyX`&1 zqfU)QziPWT)omi(huN`FICognW#seV5&U^}E1a`zD9x{l%0u-tZQ&q{EBh7n>b-M_ z(_Wjh2K>MQaQ1d6?R$I1VV{(qkBE<}N8=j3V5QTuI=T0&1IMucOOI=)bNOj6tRv$; z0{xo(tMI<2J9HwRQH1Je@KKCQfBOvnqG<(iS!HsV^Vf$;f!ohM#{9Cu(LugBT#Taq zhs7pi-Eq(Rm|q*)jeH7yL;AGyeon9XR^-i&ONU+uCxpU(Q~~Jq&_0+)6Ix@U<6_k! z(tDf&ml2iPI3IKRZ|K?BiHOra-whuzX&AWOU6;-g*%|BFjx>q!6B5cy;!`YwadeY!8PC9%i@|Ikl6E;coWk4RZU^*`kq?pOBCHN<0X4NlvlSP zPFB3-c3;O|&4AwS8-)Ce*K|&qz*OR=dqA(7dtsfLUi5w~-o3`Wh^_4~FY1$9x$$_z zNBYfL8B62dq;yu@lWp;27dI zb)56zRq7E>=maj_8y4a?`}q^veN@4Bp- z7vk4pgj>;x|%V{ZSD< z`h9D`#t}RoacGUNXloyZ0yhaSnyKE?eQSupRBGwbNCI*~8tTD%Nk+dCpc{>hVRV@+WxcD=&hNTr-pA@t3jDzOLVkbK%2dl2Ny!`GB!b z&klS8ZXeGlp9aymud<7q!DX!m;HJrSQT$`DfGbJ1SuH1m`0HDx-eXbouzhwhcAGSn)(3a z)k79wyevMD{P)(u`jrpk@cwR=z6NJ=R$(65Pg&R>Ou}{2|BzchpWf)_{PnM6D4xh) zu-^5Bk0KnmPtr*L<^=kcUdySjys1u93xCQ_dOnqrqi47GKyU7zgb%;IZl>e*`f+ep z<<@EE%N86%{pf?U(Jw1}mGZf{1=bx4{{ecL-5y*sZpur^mt_7YVb7&(ED-zrU2@@)xmDK zrS#rfD1nc(~j>Q`o` zBM-V=Ht7$Iq)(eAz1H%>0Q2VT+@GnKIfhXf3c@v59cqkeh1fT8@Orw zFaZ5F?E`K`M$-B!oR{jSuLkGAjlk`a;R^aM271ZCgkH|2y3$>4Vt?Z%wu962 zmsCXv!=Y0(zA- z5dNlJS9;HFNqXDvH>_**^3`~!x5MeaA$HZmd1@bzo#XuV(!&(z-VNY-Z>bgNx6&B$ zU+G7D*M}3K&mRfBo>4y&-?tsbJ;6pu=*_`4$fsTTGwMX#iXorT0mz%Wnu>KKVi@Xy zdA))^E7v?3{hrtie{OPrCykl5#Bou36!E&#Xuk49&TyQMFG%rki3V3i*5H1^r+-iV z&h1C~QH2AckDdw6-h2$s)_sycBge-imIpUiRv;evX#ZlzdAs)zrw;FedJr$>uXa9c zH0^t0L`meq9xD>(xXPyA{cRVjLw#o6TIZv>ETVWa1bq0*XOkUg@fF}Np09+DifXpg z`S8M2=d$m0#3Sk~@^^ZhN&C6pG7b4;>1D?_&c_W!9u$vqxluFx$gx%JFiAO^-iE)-H`sS zBAQ*oJhGsZG%r~XP|rFdG1d9#eGSns|E(9|v1cxCaa>-eda!Z5X&*>@x88Ae_da~g z@CB%U`SN}EC=XgkYG^y_bf)J^&(Jy=c!AS5^ zci_*uo}+qx+(0`YR@+n&b|d7nN|k*F$esnIKBDpKKZZ7r1})sc#bN3SkE$?4ger4&zUX_`kb7U8%Ep9Idwkjo3}bWPpFGH_0}`w@9jCqantk=`n4e*m!Uhl zV@8Ja&s+%3l5+olMLxFFaXXLh?L789=+!HK+|%s4ILbppO*)s`uUhH+)a<_Cw(Ave znKTmXOJ*LSJbW0B`C@%vcSHXJ-axMc?xP-fdV_Br*U=LwKc}ePM8+M=3lD7#t_RGa z{c5Q%&MDD@>d+pU3x6|tE%rm(Id>h6I)J*;yZy0_SW}vJJ?|L$wet>4cjFaNN${7Y z9)qirTaX`il-^U=xY}5!>h2VrBW(6g==ta=;PzSz(x0HZVc-}-kv-ma9&PU(z1-HHSQN0Z~-XA`<=sqBd?+2ID`iys6#$=Gs zb4BqNZ-f0-*0kuCdCf*VGIiA|r?=-kNFRBW{M%eWp7j@Z!1X^9a_eMr7pK>cs(_1T zEopwg8jpQg{4}0?W`|;5lHsRgGII1hg6=co`5p4WrN#y@4C^I?Bf0@r0{Ad zeC(4}6wi(>7_UmHJ=<}fG!opr3c|dYtgxBjvJmYL+qNJcxpR?*&u+RuFx?A!UH&^d z2mNb6&phb=U-Hj>#oqyB{f_YGGdg2_b=30V&PQ(uruhoCm@n1*4DNfjVeb9mK`Qdb zABn__96j5$md4wPeqUy-60y$+HX2;7YEOAiUY`v8j3MA^hBxhF-Lr}~u5Qx(TzX!> zKFrFj?CLn5{R(;$whNqpcc&zH(?*D&h3^E{UFwYV&C$!eLx}ri5zl`N^Cgch0M}pa zq`Iv#G9LQG+Q^T&@D}Sx9j}7@L|hAjUWjGj{81y^_t^Jeg4-9Fr2ixX^CEwvI7Q8e z#5e4lba@;;$gZ#+<=su%Ehv0o&1$P0r$>mXpCcPEbo!mB*^v(8TUhLZPYcq0u1nU5< zx0Xa*nYtTRJ8nnNe2H#!j@Y-~B{`n+Gd$@ZRi$;&x*^_MRTDpOv$YyH=hJE4Kl1?> zQGVbeau)63jGpV^1Ux_I=N z)->-K6EVMPO^bO>Z~q(suC}%Vw>6G|=QREQzyE_7;8S-{eN<~pb@yAZS@{3nGpl32 zGfndTx)5Dmp_%oer{h^ z12>mi5}#KH=Y{?2%zXI07)Cs;3eE)?*D2C*oxB>{Joym&xvK8h-}P&2oh0783HEKV ztcr4+d*}W?&fX8vuUTJqj`I=yR?&XyGaNo__e|wDE4vU}b-IJ~sLsdtcU*tCn)c1k zi?Bbi`&~ynf3|eXIkbDWMEq>~x=HT4cvcWZ_YBpX5Mqx6L5w42NFu}5aBNBuyH<`>qi7@c zyzNo6Mr*Y^xjt9^g6G%g@yqx1eV@<$IoG+)bQVmrjfpVPyjQhV%(8 zQ%9Dm*RNKY3bIVUVZkGV1BUt!3l8i{{M&%RA$?PMNdJK0eN(@G?Ng&h)e2=R$O-a) z`!A~yLhXKi$2axUv>$SbK4r}ETS@f&z{fx7yZ0dKE`7R&B`(mX4qD++yU4=r>f&3p ztHJfrZVy_tySE>3y?q^ckFK*R{(OBEZkOr#dONiZ`giyEdiU*#o8&JWr?nrsdYi8I z76~Y=QpTb{uIx7bW2xIyXwr>+ur_9sol1foKG9NliI!PnV7%NjB(3F z?iuM+ps4sc6TZEB(=-njUIj1TffBhCdUQzZ?=wqLG8BjO}@V4 zS$wLXW&c3m?Z$7^uHXNNxb>-x=ZM?z?8u{Tmi&s^<@Ig2&aU2$xa3#ixL#fulS1uw z-(cwNrRM10)y#H_d{nmqxZYLXh3oYnnQ*=R_|M*yO-nIF5+Is!KLtd`JV^$X|5hiuTnq7pW&zz zFXxwkHc0)dKDog2kpE12Mc*Iq;yTKbe3jbm5Fhk!_H@ob?RHr5b@G!ne!4~NW<@f` zf4dFZbx=9Xi;2+Zs9ntY1pUj>Z_qB%-HuI4#p?BtKd4>nOUSz^QYxcL{cawd*+T8& zd}YKZVybXmHY3EW#XL{bVyyxf8*X3yk?gBb3fd0SMs0-O}7V=~Ey|v_L=Kjrj{+I*v=(eV> zOnR01Ah_4F0=R5@wE=M%6v@0%ZJzg~Et`>#%df!o`sX}fw+oCWu69Voqc>j$7u#C3 zCa%vfgWfh-i+L2`b%v0?Eq@u@)lUGIBe(Y>uKymyyzCipy)!9*xXj%GT;0@x7SaC3s(}{`do@6?pFQ7{dPN#`qwANj!R1Aa^-XME6bKc{dia2#Synb>3H7P za9z2is;D>FbQ{m(@=4I!^~vBSIuhJ#a|K*^{xir&A4>r@fBXS1?vBB_@Ip3&i!5KD z-gN&7Q%El^wFFmw_n3za|Bkr({2BAB8Bsra;7+VlFZ?FBH)ROMB~M+(x#mj#!FgC< zF)ym(;6}a_&!$$;n-*X2dVe!)Jo%ef1Hg4iR<6%(x8jM*dj70$x0C%-u3;aL-?rs^ z=1dR0@+(;lKG`m?K6nlL&%4L5Sm{mTY}dyjJ<4=Pr(-e0rN58b*DE`apa@d{KEMueVFTiUl;8E z?mF-P_S_rRC+wLH{i9Xvb9NxtRl<7KKN-S4t-B+iwozH+%>+*Y*Wo{VLxA;4*o`4D!)&JTA4eDsz+15O+s^L_9jNCAdA_DIEQVT8{Jm7}jUV zGnKf>v4Hifw}6YNce?1 zR|DsrKFt26bshM-Yx}X@b-p?1*No;k-HYkSo9TR+BH29M8N?FV<%(0Ink@V_)(*ejG_Y_SjL>zfH)6{mpCkY&dcCi68V{xpeTc zmGfafC*>US#cRIKR9Fh2Y~QbijV4SB&gTKBi=Ma9y%D){AH;kWbrv9Q?a}M zCwV=Zh#%Ph{d}&g3K8rx>M-(Y%C}jZL_Sk~;5vCd8~xf+o#V(S^}K<<*))phrTfEB z;;v{9jz4n(xH)E5KXM?{P9X6i) z?VEC(x10%x$NJqxJa#VMN2w0qA%2&~Eg-$uc?#!$*P3h8pZGW3X8N?z(XZEOJ?hqVUp9~Q(gkrmo4&^VoBZs6g@4TvJl@K@ z-@1gFtDwJ?8+!HTF7^TYIC}zdx1~Sld44vYmsSVBy=A z8a_H`8@T=EQ7mzN^9=fRas1q@ira<6Rmttpt4c8`^xdm|Xhu@%r}@3(UHUGsJcEz; zvg8>0Zq_}7kM!AvajDm#O>y1eoba(%V|m_xSN_mTwyN*WJ>w&)FtzNpGK}a6a#NxPP#wZ_}hyu6L~Bd>+?bSJuxZAy${TCcUovY8EAWj$2iSy9yXYTjiB@O?9 zlepjcH#p8Ucc#H-emwH5y>S??d-Gr=ans`x_j{)#>R)G?K9zjz>9gS8g?8X#{hR5; zUFNj+5)0$N&A~sAXVv#O^mZ0M@7N+wpjY#DfQ$4)Fka(2k0l@FqPgE|72#vQn#Vjn z$8W>a_)IsB^!fvzQ?h6=?pOJR5%;=RWS{v5uKSX1&fd|)MVTsGhYyEgyx!fKg++ ze%<|Q=vS9{i+IGjbvSptLGkR9PiK_s9zpe^Rz`T0}*I^%XvCpu+RAq&Ew_Bd!Jk>$7+5b%f^mg0$v zpm&)LLGSt{tRR1rbRYWE_xxPX-<%nU_)G9}kZ4r{^XP{BiTG{cG9K4Ye1EGRtzSZV zv3CNvEnO4&wD$(iCGIx!^Mx%Qi#*7m>Ra#;HJ~>G=b%1i)B5PwOud14v~MqPmFFJn zLG6kKcjx*rzjGb)tD@VpJ~0YhKdn51{JkQ@d0eY6f_okPz9p`Aqytx>H?h9N*5^}v ziP!T(e!St^FkUmS?@HpLV=dO#-NEak{+v>m?={Odz+aZb5Q{9NpOJM*~CWyU&nUmSy8n)jF&SEUKh%iMe5BEAlM z+<^%R)UVFMdar&S=4I=G+vr&KX&K4=?s$mj9n*`~uNU$yxIOjFGV*bUUO{hq_Xbz( z@*^JQ%j;AX8o~22`yQS8uVn=guvms_EaT`$@`;V!71NnCc8!d+aecyYyE_pZV$6c#6o4&i5O<5oG zHR5;Adt*OTr7uA*hUY$q>sD`Ei_h2FpjYj~xZj^nU|rkaAAq}qAspx1g=0u>|0)0< zHT^qqJtP_H*ZaK_$5Zkz#3Q5nN0DAd&VY|sp)d6E&t>ozzdmCBtsl;l&MgWa2z?mG zl(;V50NnetG`Q}6X)0q8L|KK`{?JxK5)~v!g_o^v>SSPJ{eqPn!Sj)*YhLB zB{P44x;0(Pbxum;pH$m?zrTJ%18B1LKnhWup`$e!1%MOtP ze96a;-~YSvcM!kY-+4Ldy`jua`R3qWJ-vds7#aZ|bv1(L@!p$h z(qPi-oj-z$+Oy%Ki*>|4Aj8*zd+WXdcVam5Aijua|F{#_AKa`Km|x@f4fJw7|Gp!0 zbhYH~QnEv@XH-EvUY*3gh_ikdaQCM#xVYF0^=5`GW$u?dh2oZZqAWhM@b4`0-V^AJ zzCM+FbOs)mj&I9#vgIV!udH8%DuXia`7(@fpTz zFEqq>)#^Urx^NY&Uy*4Fp5M*Kf56?6Rq&TfE23^y`5Wvr--4UO!QJ3rb}-_xTTh*% z@1khHc>46_Z-ibQ`i=AdWmCSNf4Z4{diKJ2W&h|2NpxNMoy-%@!ABo!IvIS!DR5W* zVKVuu7OzIor};1i{d#xra6ZE;W8I1D`&i$q4Y)afD3E+?;40P^ zpOW2i-)K(xj3gghcq03pIK}Ha^WquA#owXK4}^g0@%u6Fw#_hbb+QEOb7g|wr4M5L z?58~5(*L3U)jr-&)Z`@QFI$F?zgK=Y^m^a#;CAA+Q1mZ=Don(rtaYSVm|2AORg*3 z}gp^rmJ$)U9Y#i}$M!rL-@N_gEr)Y}GNS2P4)ZpPttOdbhjNS<tptZ5*N$IKrhzR#{TK$FB47NrhE^*ncSSui{10bQopuMG`Kh7 zd*n^F8nl483VP4|z7Wv6HOH5dj|y82?w#e|k!_#4G2lajSU)oydap&Oqu3|yKK^?E+lHT0 zt=#a}YnO9AbN1Ov{JSwxV=@m z4rlN=rNUpMUzzFJT=G%DU!z~sg#UiSw!DIVO;CT%&+l2#ubMYu62&7UH0NjH2KE`B z^#}6t;(y^hOyb{z?7EdakJ*kf@A?k)?DZJ7ntV)1W%Mh%Y51s*SvL@O@87aMB>?N) zB>lA#Jn|v9c^HfO7b&CQ}A41L<-l@O;Y)rI$m?NRfS$iKi|&gU-v z{nu3<-k-R6b(j55UPazaj|dB&hF^f|kays=Y%kQC>~@#^cN9c^Y-CTI%Vx+U_J4U3 z@q0nTnvlP~l99(7p1|kG<(J5hK70Ur@yQ9q@1`_`zpm1X<0;k%TtBL_rzDi^ps*BbL{2l70M z`L~g0ov+|x^t+DlOVx;Uf7%0CkR>F@Elvhn_4_77!!RBj&E z-bU;*e-`=`wSB<7GQBy^Bacjl&*gu??RdVgkPUL;cL6!60=Qdp33|1qE$?Hw4syTM zis0OlclJ+CN{!PNoDFW5ozAa;CV83$xZ*n}o+2A9xM#A58UWENtT&~3X#?BKMm-#yQNBAW3erva%MIGup z9VR8E`g;ZW{z?^p!|TiECGun1tmeGct&Vl7=A4^Cdj0EW&fBfYyna_~hF-5r8?VoM zaJgXXAkw>SL<% z{eV};p?>rs-%-TH9KOHxytKa)sCBFd#iQ*MiU1nc(Kr^~_^7p*Zik%%f_5Y90CO0-R47)D>Km*8P#6Z~7sA z^Z9LFk7t@pLmn>ieZJng26+=*vM(a;Zu0%74&>jLy~jghiR){F;3G%0gkF~%vXr=; z9l-tr>Z5*S#^d#UQ@Odh1zf~l!#=E51lK3MDfI^2Ro%_|bKW}*p|4Y&^Lb(yxO_Te z7;)E{?+0Ytw7+XA(rhwuadbN8Gc4`BQ|xDRpN%FUca-m2Y`weCyN-KGI8fo|o~DF)waQ3+UycoTw}HV%87jV@maA|GH`C$dx%uh|4>C z&dQY~xDMxhHWU0WzCSldN`l)1{orrb)Ps-ytqJpXV{v~X*Yb0XD^?8S)z1zhZ>9?qeSm(NXYM%a7u`lWH8eDnAJ4 zj_ChMOVYb)eZcj_LhupOUWS2xKazdc)xf#nvPEIM;^CrmzNy#g-Pho6j@Il*dYS)8 z3UL=(7U!3@J#GSV+s=WDT3g|7UR;5XSKubNx-$p? literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/10.npy b/MP_Data/pose1/14/10.npy new file mode 100644 index 0000000000000000000000000000000000000000..376e16dd9ac4ec7ade41b3da50dbb4ee27cb553f GIT binary patch literal 13424 zcmeI2=U-Jvw1&stHE5#7SVm&U9!)ex89Vmg+hA9$pjc2GK(S-N0w^*@#3)#is7aJb zVi)Wk#jRLC)Yvsf^fK?_FSuXt<;(e z{YPH?r_oKS*XGqnPxhYX?Kx@KWbcuqEN|yI!Dm!9_ZjOsWmNX}8V$bxzG3Z}wfS8B zzx^xB7&B`=rnzT->M9+s+fS2K_d#Ozr#k-mANyS#TzcPrI^#-RwV%?x=zZHRYE!$@ z;|;Z6t&MgytO(jw6>2vFhdi*?ne*My&Yl&b>nl;aOz%wb=l+Ox^V`Za_z%m8f9vKw z#Jw_x+5VU%cK)%7uSdXY1_@1oa?s_cxu~CbUo;0%RFdjanr#?`vuo* zyR&jI+V%5P$6l|_7N_t1iqLhQ`QKO_OKx)6wu}7?@l@c!E0(L}g&x^Y$Fu5N+iq?= zr0Zv=(kI{g*0%GLL$29&k^2qm?#vCkY`Lg@6Mn41j`y}*%2T+`^hkMz_Oz9_-VAM& zV%wb!=7Ht%Lmc9pn7yc@NucZb(j$+*<>>E)n+fo-AV3>_~zG5 z$X_PV^&(+kx{br9|MePqv>v||@!xo?u-{p{cI>AfdkXC=pyoFFofjUv-hQeTjc~o* zJT43RfwR35Eq^n-iv4bS_~3fJZ86&A@~A_W%R!~N{d5Z7q&#m#=N8%D`Ker}oA~N* zdW-Durqv-_&syw6yK`(MzKeW^F57ldt|;O=4QuBS_IpYyu2(_&mTlMfe}mrabVIv* zF%$EdmHi^wwzJ$1A0p2S7tpSQJ|I8t6nSXd`H5A~tEaEg&XQa7OSIR$sr$&btFnzz zSMgNbM!#0QS#8^O`-!T*8ZLoSL zv#OzY_l`ev0)I zMK9C5npGF`#BBX-ne{hrNt9385X?W`;@JwzMJWx=v$8JO>v;kXuw2JAp?s>YMjh0V z534L^-I{{4)HC3^WFzu9@dLOlbB}n?r$z8D-W*(9sZ8tsLD7YlI}KWbJE0@NP3b&~ z!N;`)H&YIRiw0wtTF$@q09O@D+;O+x2OWjKX-HfS3j>$SJ5RTIQVcZl3-CE;i2S zX}M&}N$=T~^k;KwK4HAfX~*08JGERXpS%yirEh#A@V**)kra<{)aU-4 zYW|FLO%_>3$CE?)&BPkv&( zzk9acEC@tCs?2DtGage%SnfRg33@(06h5q3eo89oj^&c0ilE$7uvfitg0 zRG+wfOD$LV-%&o>9@6~p_rxzTo3o*Bs19}8Vg9gdNvkavF8MHyqH-EIudPEY*N+oO ze=Hnad56$EtQA7}iqJ5y&4Xji3a~innGY9<=oeN@J^UTMngXp;%qDg6L8;CWsZir+dLbO zp?td5gkGN9h(viqt-r1n z2E8+Q1o|b%W~{V&mFEPw+!F{c=2yqQr2eM*unp7UBOd?M8*x|7gkJ3$OmQE57;U+p z`4Mqt+smkfc@>9sWJXMY-aHsiaewH9xH6gUL$YTo)y@4X_A9gGEY)rAVB%-1Ew}!B z^hj{$)Sip(+25VSL-6N5hWb0M4D@1GrCGLJca4JHRD6BOeix;i2U#CAKM{JhV+!gi z+CTQO?dtq|;ui}M56`n2JR%GE>j%*^{~J751)qthz@5jpiMu>Oo@y)Y|FXFY>SL0- z23tL^zm4kF(hqfTHvNZnrWd zxG(4*a)UcB_u#&uD+uIcIu-y|u@%A9nb{ae6(J%6Tt6!)Mf z%}1L5`p_xjNtK}&H@lL)P80N(2Sq~9_x8hlFbf-@p6b`~du)C(h|VWGz=!I5y~BFM zZ5U2Ib9%tvSrRtQa?^b!Ik32J!_N%~~BdlJ(>QB7IWUM72mFyJNk};vN_;lQ9Hw#ZGIN^c{Kx=`yF3n@ z|CaK~o@bQbQE*dj4Dkb_>1wDv%0awcYZ?t zs?E|(@Yy<+#)X}s{q5b&wN`I7=iGNxGo0VFe}=YPuJl4&vf4XZtjN2 zUx#)=9r)_={+62^tKl!+d!o*&@1aoZj{Q!DB4fnLm?ng%0FXu*MSP6O@ni4T_S_ z{TmISkGf3xKhDHC!P)KKH!<5sR@(~B-aQAGFX9JUt{q=+XIDA+IJ3TP173X)`3&d= zZX#oPTYqz>9@R1SB7Dq@dD|?P6%cRk6A$H0bX|y^t^ndRhG+cH%WivGV*kZXFodSO|(;f3)w@b(VCazuq7uUvvGyj3X)}MVr?rQl}llNrc!%LkD$m_wG#hY#*_E74-6MZK~(YyOjUA z5#-aS0O~LIe$&JHNG`xlawX!ytvXpBCnAh^mm0`N@9m5C2J%>a#B~Bnfjfo6Fi*s) zwa}|MS(sOP>Nz|oIK#V!1?6`Y!A(M@ z4}A8&CjSk!!FfkFZ_CYB#lf{#I~w0Xw}-oDb2f(dANgZE)*VldrE%O%=OWqV9LzTquG2h;CE}=W{lX-iMgr6Uavd6b-QXh&D8@_{&=GQS-Skc!d;-dovW{ z%Maf`fB7VOPB+5`U>?ee2iID?DZGUG^$Wd^Vt2~H-$^-4>#H z;t4KJR`p8E=1$qU$ls*5!8n?+$C1DEp!2_s`GV>!*+%GJ(>mhm?Z8#Yt~HiRPWK)8 zK8o(AZj-d-q9vUl)aMAyPbVt~=PSPZ4&}dS95|0Hk9DUPtfo94<~&!5X>+WPF5UxN zHr)WdiOP?4;r!$Zt~Wg(|I`A5kY^!!zpKA`M(eA$TcCTkkIC$X`Z%ADqrdWMfi0G^ zqD{!(|8LB5(`2@{jz`5qj3{7&zN=$|KSGFUU>x^jbhZ2a0yJ zTnueQd?&3Vo^=v>aj!2p^Z879itFvHUY-%iQ#eDm48pj`JVV&~u)9`nC6{h)r!i&bGL(y*A#(XEzgHK=oR}(AL$CNN39%ze7>y!f8*-{?o^JL zVY%7nPJGvQ@Zygu;xr#rY)lh(VwmKXOa zS=t4^e~6i9D4%P7+mTQA-=Np(4meA?9d5aZ$^&kKE7HE2TC96wHrMATp+uR z1(wS;@!-7rE^s!c6Xv08T^4!DF7>c)%hiLY*!*>Rd+23@m&o5Fdu@hK84vRLtuOU! z=e(aSSME#Tqg=zT*z2X^5^O)&3L1B3|1Qj1wPX_B*RjI8;bUfo!$%JJX{Ghy(Qy>_ zZEK1vF6V*>RzH03hB&-&NTeu_tXpqE`!Dekb` zc+O&D_fp&jUg)ng=!3tFD|`=-|M`3H5m#ISEtiFp!Ogt47pyNE6Fu2}nx#Qhhm9{$ zPf?;0t-G>^$$$1Bs&h)fSoo(zL(i7BKwQr>3nrt# zYHA--a*Yn*5QfU|iA zsGjj%urHa*4!9bSLOgtGPwOxJZh^~~ZQ$zHjG;Eq?ALIlkEZuUy4kt)R?joGg7f;n zkUoDYAIn9vVB%FMu593@pua7_*}>D$iIK2gvMf9Y@vF3-urXJVkIWl8 z1#ySb`0_&!!P$pgIOpgmXW*lFQHmQ;0_RmZ_y)!G|B?Iy4|-c475|#_w*s(UlV@_M7Xf3zwvYOhbD!NDjCH4u4x4ZFPPY!EpE3NR)n#v-nE&jb`r!KbEUXu4zL{g&&E9Xo zS&{u%7kc9a^h>pVL-`E)8TC|dQ(IfTR&BtY*444T_}ERjznBul#qNplH&^&J**KOFD1pbwAPlH0|C(wD&xUd_>SeaDJiSdgS?@=8yii7r1%cZ-(XK z=q$>=czf)h&b7%Q&`+j1J45LGp_5p8c4D?(ZlL>`ik^VF@oF<@9X0s`AC*`f^%v!a zVt;Td|3dshQ{sI#<36tHjtA$fSAeTkFK{2xDfz&4rFEqL@z-fKAE!F~-;QkN1up%{ zjImr!4@7;~w~dK!8R%v?+f|n8KX)to>omHEbEdwVAM=)#9F6&)Ty{lTJ%393o^z!N z>cE!2!#=58>As^!(Q}GZd`(oMjeC>s7p7DX_&9!PGb~r*OTnLS-vb|gYRx|6(~91k ziOMgi{+U~QTfOs?_H&jHLiO~SHr{e`UQ*rmM8ikz8isi&5-6@-nh$!`C36kps@jOF zN*2MoaN5<0w{g`#I?ssEuPE-rT=Oi~r$(YaV)h}b!?NZZ;WIax#$_?RS8?{F(?0)! zxCtta{f&*~G1f(9>oA3wZll(2slakA@u30gMvQcXqy5SG9SXdWF$1=W`s@fA1aC zhsPcxAMaG;pZ&Zr-|AUtPsDXHdV$NL6~f^Yv5fMW#=yD%pU6{W9DD*@RzaAQD^gcK!oMuUI^t`WIgJ`LyfUvEQhz^A1a~TC%(p&H z?vKQu(78gI-gpjWNp-+=o(?aaA z-h68<39-iNX65r@n)@ z^5kZkSLe2Dus*U-Ino!uK|a1a{SmiS2Dl8M|G&~rKlHVFcHR}-oa&D8HNVVTYxS}o ztw&uc0Q-_moEu`fSgOf?O#zHMPri>jJGHvdyvjqrQ;XI?0oGsLPKRD!&xL)@gltEh zo$$)gt6TXopLO!u=~l0s4gwcd|Hk}L&s|1ZE;>~N=efdY|BUNX4xEROKIR}eo7En1 z9rv93?4F^>Q&cMFnV9XvmaU=w7CuY;nzaq*lkC@O@G(c?Ft2o_FEEbsQyXx##T$9@ zp+5)PxQ_M$cRtU}_g&`UpW=yhxi)~Tseo%Z3A z4KR*Q_lbB9pn7(OUN0I2&R&0>2p?bCA5_`r7%!23)`G&)gFBtl!R3^q^R3<_yr=xD(R)Qx z?%FJHnX{inJtv=xYu?}$=sc$Dodb8?_m}|AX`RZA+sVIa!O@nBl=3w0UA{z~eBwQv zTX@~gRG*LZ`?%cx0Ow>msVC*Lxhm$NxmpkFP81qT+$D*|<#5rc#B6_EfPOD9Jvru; z@{HbSxe6Q&JsU#z5q@Ob2Jm(?&&8gGq)$GL=T<$K_H!Qe9XRVVALFi41?Bms7r00Z z#QDT*pz|L4itgiVu^ZJ*(>`YAdQ#o?AM9`IV750VpL+CrsB`wqNj4w$s5QpLoCwaD zR|ghbJ^O1Q@muuXL+tIl1l+d$|KI<)3OL>gm>L z_U(2{X#V{XhI!|#%*6S`oNi3(bJ?df%*(-}u^+0P`ANSw0-RU9r0x6^)8j5%oeHM+ z`s(*^FUwWCZI>)}7Siu#{MlRVpRCqA=ylz`_iQ_hSQ};aqS1QngYr%{aNcV27Wh0k z2p@g;72-N?NBCN+=FC7H%&|GB4{Lwx0{j*I4lK&mgujYQgr3)RK|ZSI#W3q57%e~c5e|{hg=K<}S7yjzy0K`@2-;)2rw&1KF{eHqb9H8gB(jUQ{SM>iNeA)fb G#Qy<4;|)6i literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/11.npy b/MP_Data/pose1/14/11.npy new file mode 100644 index 0000000000000000000000000000000000000000..62fd2a59534727f414baf93cbb7ae43182d927b1 GIT binary patch literal 13424 zcmeI2_kYdF8}VLjHx9{ba@O$=^pDujKzUnX4@7Z?cLG7y1 zTeO?nm8tz_YBz3K&p+>#Zl7ba4chsi9(dkxYBwF)p?_!OuV@zmiFe`eP`hq_Jq^$M z_@mua*nxIEI;;QPW6&}L+wsK^U!jh z&<;MTb?^z>F5iAZe%a{NxA2@gOL^>j?~rX5{j%aK+5M?)Hz~EC7qtf_+jh2SC^-9f z!)4p>n`zj+-*4gKI)rt$i7q2(=)wy{R?QHA3_4d8-EfZ~D zc}QJ6FDDHCV&CiP*IV0Hwsp8GbQ?qPJbykL?W&URezd=e_}RXSaMR@E>}T(a_FmcJpVS5^aJ0bon>1jt)5@FmVxK} zY9X)kSi_r^JMnp=l5G2@GT`F3Tv!*n(~~&M*(2im*m`jDeqf~Ka&8LMOUwLMt&ci> zdb#DIa|!t9LIbZ^uH7rGv0VQzFSz=&5PH$YDK z^a3}>#zN1+nvy>EHqt-78;*Dy{RZwt=DO{j`8@ln1N3|parHO?T*gcr3;!cOL2ov8 zrTIEkMOm)ZBaD|t`+~FAW2508+Y)u5>n}xq*y2gb_M<+%MV?i|A8EgQrdq)NmqXyJ zS6y%&9M}=O;auWF=zMYd94u>n^kQ%FnfI0EF)Ad;ayh&l;t`cHh>tAa&~o-N7J4ZX zF^}d%qmkBMuewV9D>s5WBbo$QE;0g0zwSCX|7pM=%hf+EN&mDY{CP}hW6PZlF5qhN z48+g6xKH-BJWV1VXU+huGgExJo8@Xi1M>HXf{)Qnf-N_JZ7FY~2gAqt`YO(H5&SQ> z^Qso{LOsLbV?c3ny(b@S{Z>l9i z&u%UT7jt)_4(0#mQvCOxlD=^5nO4t2FMz9K*-=+4TQ$^`sJ0bcN4ZiR7O6bV>c#O^ z;AZrDaA(60J;3w41Q$szR99~=VV$bUX~cgB!MOOL99Y+8{3GN+CT+pIi1kUe5RYeD z=y`#kvEFswdlM~pcmTM}QwsiKchyCfD-Q>py*L7Ym7^;1;|y;@^VqQ{^t^WOR`5A- z1$yWCPTGG?6{G#Cc@Xrv{S&J5G5f--UgW4i{A_K+X@(XVZ@D}%8S%5J0XX->o&t-! zGdY{@2Y;PN_aM2+YmU`(*Mi`@$uaooqfJ{_&R&!TXMtmpPqpDgGw4VC1%EZ0_5r8G z%}v%{HjIW|Rq981e)V9X)temukk9xj#DA|G0lvI9xVbqT{xao!SIeCaW5M;6ZZwbn zCkKHS|BQZh{CVU-mDn@Hav4JTSCjj~UwX7gzp~{mpVEGw3iQ~y#0|EoF5XA@VWE};}!MeQ2$P+j}h=$atz!_xk~G0OEIh?CvFwE z*;9b>HavKS)${uC;5z37sOel>6WuSxv@Ve z_5$N#Yv0YXTr6bZVsZkV7Xya|L%%X7xKpA8@im|697)avuIK%Qenm=U%%iSK{vviD zxM``Nmu`8;XMj8LeuHMhf9H0J|6ViVerqQqo|_5a@?q9__qh<}*UVR>&lXPl-_BzH zQ7x$c&4XlcJtB09^>N(j^MiU-o5ovm7xboDH>#5hp2(*e#kYCeJb0Hyob1n0G>@;^ z;Jh>W$)B}u1AqRi_!#Ri>(56#&i{IX%Nw^akJ|4#@yKNO@ZMceS1fPVydOFMF3w%W zyg2n!p=Z_BfU6~ANdKfHxSB%u9GN;7=e0O_gw|2D^4Q;;jeADfc=Vz_pf_C#Q~WdH zXnh4-!+1sFaI6>gpnj+wFCSbQJ~D6b3mE^kov2R{?E~(l4#T=rO|~HaqF+{h>L#cM zr&gyCwqIvB<=Mphl0LjH_5r7C1sd1CN$8hf4x)M}_747fUn8t{Ew@R;U*DJd?OL18 z!DVs%ZCvWXCB)Az{eb=1F>HqACU-;l>w<}NUbhbG34N11@DaOvfirVvgyrJKFv?F- z0{n&Oj(T8U=YWd}smP~17P~AdQ_qIPpkLErCHj?L<0H_oKlwZ7!oXSHUSlkG4pZKQ z-UKeTPAH0g=Nv{n{JI~w_AJ-O`s;B8&@W$?16&Qi)!%YiuravwTuX5l{9~BqCT0gX zD|ZazlIO}H&#Go3#ku$+)x+cL3vIvr!FihZ;=Q3a7Yc<~E?RzvI_FV6P$#-%d1d__ z)(ig53Qch?rS)YtyTeDPccXbJ@Y`nV!`k{ouf{b7H#H}Zv_8W1ck)U55&ot|hl${0 zs?fX#CLkWCTt3vHcA@$LQ=`)biOw@G%v&J+`TR1gqvfpq0dU>u zD!BCQRMz@9Nn_y8J1oV1CE^wZS#DaMA%FK~$TPo?i1Sg8r+b={Q2^~?*r8DCFR%YX zaeDlVaT&K-q;GYK;+Y%?F8r>?SiSyZ7xnAEg7%*-4{`4BBHdAk@>&k+KX=Uu@X!Ac zK0F~A@hi_472s3R1wMNHN^l;%v%BR^J9lt-eg?R?7VZyyi`5kOu9o2X<=i>&zxf^X zPTd0F&ex(1pnrFs`t^K_dje~{w{udaKMP$;YGn_SMM6ln0lVs4E#35oP1y^=^XeLVrNdW_w3i&X!*VXG<^AxazOQ zz0?$>{Yttw#5}Tz9Q%p6Mc-$M6#8C64$3wiapt{4{sC90&YxZAZ2g^s`Dk1|%jvur zxhUT1HLpba<*hJY(`2<{xfrzqTpc-!Iu|}|BH{Cj>O@4Jg1>1L*TZsgD(mytcWupuZ=ie0EXJn@}W8t4r6?vBFVHhvZI2r7nX`|mSgkE&2 zhI}gDb%>Z_NR8%N6+;pUa=fF&shWeiE6zBoP}0EJR)cZ?mv2~2l{1a zUBLPCNvIQjV-fVS)mPM&ikOW1gKiT;e5nh~*WA1~@ASUU;O5gE#K}K}ue9-)C=KpZ z7zJ*+MPr}jUFdTqyVVHXdAB6m>bd_k(q~-7{%;&N)Q{NR8S6-ShN53N$P0NB9oy3W zbNNSbGqxLzD?5F@=3T3h{_im=#lekc!p?gW~z`zN4x;(L#_db27!;^#quRJSjDP$y>b4CuvA_rZ1Ap4{+X zodLb-JR5O}jGTy*#SH|P54~}YNdI@VuG6lNPuZii9`~=2HXfNs@ylhE;iGrwqWg?D zeSac0FU0(+1t&0GHthk{mn!iG>QH83{i^MnD4mt`h>wRsOWPSE!!+1>|`u<9e zjBjl@UsDTQFYqRxd10%y`=6utJl|Ff$Lpez}c%ovEX&ygNqs?NngVY@u+sRPI=@+%!{s)it|_O z8xFl$5eF_>KJRFK#ADiL*!jP~)lA=U@GsJu=4A=pOPvru+)MQ)cjDc;LC+o>!~KNy zu1xz+#V5$KJ`}bLK8HlQcV<5_;V9M5FB`(~{qbH!-Vt2%UI8E7zAVlu zr+twO+s@O^P`?ePZ?x}Om3`1l*EDb^{q<7#Kg>@3ZvL6}lavvt2VEl&<6^(&$37-* zHAeljJ%hkimu=vDZccn2XCpTf?_ZwuF7!Q&IhF!$+`57rwLdf|GaRRB1URp@0i69A zH{EjKvIAVV-$edZH0n@QC`s`bt%iMA*Qq@m@z2Wo{=e@_#IMT?iG%;)tp68$?Fuf+ zgs!$+rq70tI7;91i_1N6zta0=Qv7wcQQaPRjeVPM-%PylGV&SFXrc8{ew!%%gUyJq zY>hnVs?qQ_gXz3hK?3tDg6cwV>P1{d++Jf8eAayry>=59EoTWi{VZp9x`I2aIuIY5 zKE$^3>MJS!ysqc%d!^zPp6gT({vzok^z!`>X z_X5}He_~$v`n8m|HZ)&yYg~l&6X8h|Ki`FZjmPO&%k`(B@DU4#(s(Zipnk-I6%>!} zXmFmG2lrUE^ANaNJ1vXvzsAn-?FR@yHPP%R2P`aMLOqxTzZuW_@&Y)_&6MEXC7j&`8ToUYcJWeg~X6 z|BOMuV@|-I<;e{neK;-Ha(VJHxK8pUE+Q!Y&9A}bC5iQ->n|Jy|Gz3@9jW~EeVShX zai_P|Y&&RwwmojL5U5o?gP3c~t zi)WWs&uci~=2w5Jli&iVH`!E^&;Iw=-<)Bd4G?F!QdG}jEwC@?oj>-oahiYWoMi)M zq8`k(LCB}<*oyRz`k%8pwcsS`pC?xbSC=PXy*SxlgxYqe`H$e{S|ZkkUfC+1Pr_8Z& zzU3l<@~pRYM?SUtKjV|Ez7Cyhf(6n#YBdJyNY(ucAAPY1^s{oE18^r} z6V7pUb}+bD69F!!d^Zj8bju0Oa>jsj*QcW`m+~)~_Zoqu-?DrV^gC&NiRX2|&7|a- zmaE$(q2~ed7_Ye>fqSO`c3~?ww_17aF=jUM5p%_a2nj*QVZs%t#vU=w)cN!PV`agnn+iCk%8~rH{ zU+MqjvevlCmYezg!A0a>bY9P>wZi)F_NS@e=%J`vUMd0eC}N45BBiju@op^M`iOD0 z(69J@H2Ite+XTLqf%DZN*ayt%32V{sOZxqm_-{4pU)|ZW4*D2cr@FeYvF~;4G~8p^ zcQq*fD*~=#b5Z^` z@11J7te*~lR-+>Ezz0~@^5RqCho2#S`Ny%d2Q&3zcs`8FDY}j3YagA1^3q}GWwo1# z-x<9e_3XHHLccP-Gq_^MVr;+8(r|F&k`0`PEk~Ss3e~yecpx76tmk;dzheRXov*Io zW>c;Z_=M59rgw1CKkkS5Wgf?9yv1H4&*s~hWzaX94$Pm?;`)sopad#)jYbl%e-Yt z?_UY$i13euzcZ}^>Q)@9hy2SRAL=(YJMwSl-on1*ygy3)R@wkALbm>n_^*D1UJNUN zbzv^={?l@i6a+n6K;IkizSl4>`Z(RsRplkvm*g*{5hp)Ob*LJ|!e7@ajed2R+NdiT zcpKy5ecmNlf736L{C`bH9rD`A6Oo6tbid*|^3nOS-UIp3sT(LiAG7`+UB2)%tLH=M zbDWy9nAY|1G-5r5FQtL3IGeNN;b{=>X*zedfxGr4GR3i;HVU9qm&>HEk7pZqI)^w77cXXWu* znDr4QvwlzY`2_03c#m+bj|}pKUd*7+gKD7582I~V-3PA4ARcFOw@%hak2L6)d#y!0 zV)lgP(03~ZAKBm<`5!Jl$?DDB`{Z9?3DwV`a;OLPupH@ocB1(mF>o>bi)Y<4&rQL; zB)$xpZ@K!k3VOahC+6Lh-Zt2B=H3?Z$c7zhUKSO>zGp5{zs`*8$dA+1>5h2%aLU`N zoD@&sRIF2-(SvwB`uz-_7~bF8_8VRn+_a7%pY0u)3+_hmcn@1 z6H~{-)xk(j(mdUJSFRUs#kQM zQNiVcEZ0F(FfI|83Ll=^1^H(~Xq}q)P2~USf*<_bmBl==c|X8keY{KemQ%5mpP8M=17x9#^{BltM|`xDQ%rU&?)+7!>u8Q?mmRG{@YQ)wMJb7#@MwBzY)tJmFV zy&G>jubskk=2-s!|Nh_1fIJz7`Vf;-u%6^E$3yXZ??fNe6PrTc-B*PHFZzrw;u-+${cf-o97)=>G#M zbeDur@>p>B_#5;lU>*4vt^t2@VjH+Fn}qew{w_~(?kBE9JmQxxznruF;?r1+mnGbu zVf~FqZ{j7UW4z+~5hA;@@bxG`&G$Z(66fAiTp1Gf$O+r`1Aa$BhW7|2p<#TNB#O_{$A_<00v?Ht^fc4 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/12.npy b/MP_Data/pose1/14/12.npy new file mode 100644 index 0000000000000000000000000000000000000000..af3c694cbdb4ffcd65b7175b27b0fcd9e3ba2d0f GIT binary patch literal 13424 zcmeI2=U-OG7wyL$$uD+|VjFvJ(HKjBu{W@w*vo(=iX9YGM8*b+4Mj!N;K5#^62)E^ z8%8l!?1l^|mT1(dsEO?|Yx5V}xA*eq`8?lQXU(2HduGl#57AwHyt?g zlF%-SHo9Qjo$1u>^gMy_3ExY1t&Wf3#nAa&EvM6`O@_)xX<6VUCnL;y=wbb+jiqG!Akdd2HE_B*Sv3*+aDYokBev)pyd_3_w8_LHZ_W+mD0 z)iWu+QAzl8#Im=x-MM}IhHW?RJTPwQ*88gEGGhnwEY=i#kLy!^qw5D8MgOALSX{3& z1Mb*%=eyz$aoxD6YxYwWD~@>B`EPN(Ouj()aUG-JaJ6)Z-w%sY2 zjPHD69kk0xk3X!xZnQ52{xL6+XOnRm?cB?Cn{9V4Zpegxg%wo)H(t~AF?IGN*?wM& zhqm2}Ylggt+ZaQkA$8*yM}skUbx)0 z{j+b%uC;o$qb&6D!_Yh6_uMvEEt^6_=u&8Z(6-foCAL+$_M*^ zxqpy&j~~XN-RCB)&x;Li*zdYizeUzZ&b~za@nF;s^XwUAx!Svd`2G)9aDB5fvn+Ss zwnRKEay9b63uT}V#MmFfP4iUBdu-NXt2dilfIB7sBK}9>Jj-PP0j^5dz`7S9yTdK# zmD_^zm!rUST0HcuMMrS<^D*MvT^2xpxih$&UIO)G_*m#w5OKYR>P)=ZGRf-2#VXWq z*It+x*}AC%pBv9vePESLK`p)Pp%D&$AqEb4gJI1ju>p2ctFXg^&u&fDts zu2aMlT7a`{k$o&zQx}7)7afR~j`+cHv#1sE&kS7D^_gh>MX#!e$Nc&b^XNSJ!*0xr zdeoPoQ5`trYaE{DC0bzg`p%y>NSV&3-o#z313?_`@XV zodpvp&pp>*-_Q-_Qv6*Cf;%lHEVb7$Plokk2Jb}uJCS#mS|90~LU|bfkoe*oI2XjD zc*^JUGRTjU(J&sLg3KN0C^La5)miM?+vc*t(}2!W$px5`TfDo)9{&=i$Qe$ik7Ru zWrD|S=%2@u{_G{4$&a%F!2Nm4}`4qj1CwN%@LUi9^UQPs8 z1^dQWAO3*+b+5kg=bx(K+|+rOQv6#-g0p`!kvCTRPjKy=CZ8RW>gxC$aB)==zmyAk z(0`L<9DMYXf!MEP@l_+C_wNrbXO6?VQ{&rWeVMYM6i+cP z+UFAskF$FH7v!Ey8}7i3`{FzR3Uo2VbL-r1qCI7fJgA;fPq zy=CKb68;{HIJezG{PLVDvRe-;E|MLhb@LHP5cX9B?ezoGrG z?IiM#%@>no``^(Rdh^y3d0_j-hgmMCMZ=#h@}qii@r;JgkSK~L@-EHqf@8vR^B{@F z^%HUPi(4D(qngtBZpLlKekHFh#(c3Gmub9R+au4qNYpaxqlRTtJZlS6d-v^Oma}m+ z!G-5}jLRH50=@a_62+4lP5G?aGuG;LyF;Wuw1)P9V=ZVOaPN;iNT2-h=OGh9;h*x9 zd@7x$eBPehI4Rpl6fOxL-6js4MMrkGdex)>xT+9A`f8tsSuW;pAm1sSh&QM*AN)cA z=-G!t;39fYQS0v_!KAO!cB$oZHQo2}pzDZ-4++CL z?rcAUc$l{b=26sI7-i$(%jkWU^qc|CD&`HhoRxS0f4TfFxKn*;YxqC=hVrv_HLVxl z#LZT3TLvK|%3)sMQ)%De^WTDN z_j3`}$8lXk^ZvtfjMurnYXkgi(sOFh=-MO1y_CEQopC_6E74p5pnJ-L_C)#=2t{r8tP$vey<0vXYRwg6Dbui zUwmyha8oXo>ZJQ3VfEs-UywIZh29$roq~MozCjcGr{HNNjP70)f3=s{aIQU2j6tJ{pt~U zFytDu!;bE@aZ1lQ z(6cx6+@wRjalSY^wiEaCgI@dX#5xsMe+L&A3ShpRnqin1(eD}Q_jMqil=8Ffmvtt+ zx=PQ#CTt@(AH4#4ohJ@@?&pu^bSLl~xY^VbTn5ZtXMIfk2XH5P0=WLR6XJ1(-gSrfoNce?$F<`Uwl{cQ!reccR_jQ~W#t`=R;n z7WC?TwN$HUpUJ9{ zy(sJB{GLF3LK|>dybisWc(aP~d5F$y^WbmHuRQEV@rq>&=Y7HX&-8nr7*QDYrhZrluB%kLX5(i5OC0;DU(@e0PJvG}u6ADG)`$DeL%(Xn zV5*1z#f-OlbDjYha;Z0ov3Rrini>5fs4g%*vZTzhdE3*Z9*|jbDHO(WJS|2v)1h^A; zfa0%oa-HS!^F)egd@$8>M*S%3qff_^e`YASde=X~awjO6^qUug%VMvmSuW4a1!oWG z{evu03(uSS!fSBTrfwvqmqUF7qdo@hBAIG=deaPq z@r%pvz(uKWtQYp;E6UILnpj8j(`?))@WoXVJ+l49hx5?$;whB37pV>5f9wXhK6(XQ z*ShEhK5+>3`+PChm#%jS>r0j0LVPt@!Ur_;WwLpmZ(XIo!7$MeuS5>eq;cg(#p_Gebc6Lqdf47+N_<7^K={mcE0ss7(i z$9ggCc7@n>GrI!m8y-rv-&NkheQdw%1m(?%&v|cipk;U4&f+^DPA9q6b^G1f)RgX% z=MWc}W8p9Np27U`gYG0*ymi)Rpz2&DTQ-mgoH z<#Nb4^ed+LK<{jB6l^)a7eet5@WlQp({|uKL3s@${ro=2r@Gc`T2i)NC(*ek?&ZAq zD;JD)3T&{#gYs zyLFyyIZHT-c-XM932XwB|xg(mlMZJm8jq8%K_2Pd^5syshLG@p4N3i8; zKK&nzn7)thLniOu1OI3A-b}B5g?Q8l>0|ZIo+C7_qDxSRynWax%lYqqh=*U_Mn3<| zq&mEk)9>KCbWSyXhUX@+st(5G?5F1}y|Uk4+ppe4=a+6=8vU|W7iL(_&yPgEI`kmo zH(k1~wf(A!zoTCkI|loJoZJEDuX%g{T$L(~{moesvKjsz8lzvoTWX2zfjtBYtLzgR|cB{=`voYS z!B>=@OYaarzZuxZa(&VT0axr}h;#A8x#m`P)enp9M z7_UB_g*>Z>@YPnY>g3dq?;6U_)N4WL_hZg}_{6g-Er{~D0q&~vwwa5TdDm|xGK zUo*TBojV8PRg&eaqrs(DI`Xf&oX7qz=Fxq-6Hp0y{_q{vyBHb`f33TtZq1Vl$iHyw zPy9$8Z zp*VN1z<#Cu+9FQXr38)ltV8oYAUFCIk+hEZH-BPW@>*A{Bldj^e1!K)I#2&QA7b;M z=g|F?&RYucsNHpx4WL_StoD)S(Y2WgTzlb(2KCOVV3hPG+yoDiu|a)vxdT_ z(>3VLzP+@5EAR8RTsOK8E{AOZSCLh^SuW*2;7*eWaHocQC-_w1l(&+M^g+A4J+k$p zGVL?YvT9h@@@63AU%Hb|ku0k7U-!&`zi(@br(z1~N}kCaXnphwN&34N!By?1lPp(n zPZNJf|3AYId~9WXoCrhlEZc}W(Pdk#wR-VQdFVyJ9je=g6OkWN;wkZb^#51RyG_)u zPjzsX)E)CH9&KM?{q?1(#J`@2eTjFTgE~}^>%rBsf;8{@jt;YW)2JKbkt2MluF5Lx zORV}c=;h2j$PbH4>}mBfunP2SmkZ`geCJK;u{r%;F8h22^}{p$M%Z!5HIm%*Ec7Mj%SjKzeYNNu zN%JN4Aa724*H}AV9ZdJ1Vq(toLRj~umaD)?&^x1g(>iru7iYO_Mfas_mKW+ryB;WO z`xWo$IZmv7PWy0DMo0K}`v@NsngY%vKQ^^`)h*|_bs}-~q&1#r#e2FR(8;gJ=h@_$ zR&QR+$9VaNbLf}vAHN*^cB+N^h`p{f-X3|epO{NI&!MBYV}0>0^>Du@Lp{hR`6;ct zmHp>fAIIebjki~B`0&5lO@sekdhSr}ugT|YS2{12%z<8eT_K-;`i()H>u8;-;2q#> z^NHb>%kXlD)9^CzH>L6>!hhr@>eri|$5oZHcpev(dV`Bm)o6WnZH;y36r}l8Q_o>u zlxyjAN!kA5SPzQFm!2zm^6s_ZWBtM9nVkJLK4FdJ(ueAtCw+%HRP%R6SguOYe(sEG z1kUP2W8T@~w(wD-y-9y;0q#%qC%WG=?doB?^2~!N9@##;4((%-4+R(9-TPSX3~vS> zGb5bz?Y`hSPGz*iys(7}XL_F^A)k)dkou;keBR~Fg-?qzvl>@=k|Ae0VdV}kVuW_HCN-V!* zb?iJd^?se}T<1FD{fT*PJGE)o?Hw^v#8&DX z79AQ@sgbPIxZmfMs>w?IhDHsK3K`OSXjI=Y;@^Y}jt(E~yv!?M0tuHB$PooZF8 z$#L@k_FsM>gglz}wqMq#dD-9+eae!5-Ac>)v`61Qr0;t9cW9TD@?1ds$VWG+U4F^! zD(EHJZOO7|7nQi(*3WKl*Xs^FXUF)W-K=|v=S59!w`&;3{IiFOm4{e0#Kw2KOh*nbm0?@h_>zgQ;v*KG>$_;&O-Pw~6v-0q6~ca!{O zTZeY-_w8|Nx7q%#>Isa`&DeegaooLlgWA2V{JikWBYx4n>Q!oY&p*0O?P^VSe1mV@ zC+tXbo-0i#n{@=dkyzHv`_5` zZm$(b-1gc)_PgKa8nuhFm;R>bT>4Xdnp%&a;`_{E7{BS!3jL|^(HX?etr7Ro{(9BZ zw5;#;BPcP&?{M>&fUQoO6Kgs=jh48!=e&ZQ*V;lZT?Pl$1#4F$Z z5%GHy=VLrNqQ)~k-;1ADOI;>C=XM^z_|=;c$<(ge44zF~WNh;A**6{S_Tzdf^xYh* zpG2Sf_jY*R>k#%oe9xbMSy~qNX4Uec?_Q?E$re<118M&!ctHun1* ziuijCZV(qWQ||d@eYokcR&r`d|sE6nE#;Q4~UG?kC`dc-x zP`iwNf$#cIEwt-|cPjzlg@Vz?RM(*Wb|Ku<{h+8{sr}~kGw#;cpbJp zE$ca(C*NIa_l`D1US+|rui?4mH*=|7l=+1DR)KY4%pWU>%YgFP^Ntaaj>ClgF3GTix!S(dxGU!bxb5nXbxEJ~7aMF9J zpRzu<9naU~%9glj^pNxLyc@Wf7qgJKYZidIuveELKkA;3^~>Vw;7i_btCz#Rqs|p+ z51$JM!DX?=;9id0ox$BK*0%`YeX9Q5TEz9eCd?CafQxmThmpV6wgTc&6*4i8-o`E! zi0gT)pjXefVjgAroYCYX!>@vy!astm;sb_&cN_w4Uti&QuU;sexL2|jxT{wR{;qcQ zcEn9mapq~$5RXg<8s|s6VI1Ny?+(B^6G?OZhY-b8t1NAnM0kc?s)O4ZX+uMI$jTv*BH=Ydz`#@*t*f z=6NX=-3mUH1ECiiB-Xq9A$dG;lQ9HbRx1gAy~2M!ah((j?oJPi8|NaY&`j^K0fgAI@L#d#fDHt0??XpWexY%2O^Bliy4so0L7VDX4!p^2MCAEN*;HfXjt9!R3FYcpd${ zlJzq`Kz_u+@smlf8m|S{L1T~yxv~V-ms!U3DSn9NJb!X5g!HmfJoIAEBybb7U=(qi zdmOmA+@ATp@dFXh((Lu?TNeIqOTuE}Ui&?)FJ2CM**4w4r>6%l^Yi+3+h@cRmrDv@ ze^9kwVqD_N4V(+!%beiGXD8OL@z2Te`yIXk`-8d1 zT>Qr4)!iFIZ(ne~ChiN?`{tX1_-}4QoVF8>SDx^lK-~Pk0o<({2)%f52Is8&YBjj0 zlh~*0G|ao&y9iu_o&k5EwV`)Y`TfEC*NDg4I0JeoyKp_!XvB5fCFf?ptbW}+zMrT* zL%`KW|AiEfExDNEsnG@gs^>+Vo2uj-?srvxaBspwuVK- zkNf8)?lZE~Rg72f9(o?*e7<=Med@T6;G-V)#D1k}7V1ai^{NDei)ur#?qvM;$eS(7 z^=U7(;X0|>8vB5W=RB(nUf0?uf%l(>K0L1Z`_ZqsUK9I(-Isk&2y2Y>?wwhH`BKYz zb37eB=W}p;3r%sFs7r|7wl9l3c<&a9C$0)99`Bg#e9nG#t}}7lGCzD|+uq=A@6rh3 zGG`R@(yfEPKCqqZ;nghWtxs`23-4N-mZjGR7jfPmtmJdySVim`q8$6{)d}FT<+^C{ z_l|W(zee#n;u5FUAs?CZF!RVk(CYzrLf~JaF#2_VdDy4yjWFWgt*<$rx5K5RVyGA&$7IQ5`;Jad*Tc20vR*KC*o{$GN;I^I_eiNH2SJ0@sPWU)kPA z#u4|{RpUHlZa_TBzkCe&=w07J@2wwz{JRJBl1T4X#iC#P_AuU`<+D8-NiT!Hgx>BQ z0UtYilZF3A9ZXX_j~0G>Q+YmmQdq^APjm{Kq4Nup&7Uu9)oyX$S(Nn?x%5&wc`q6 z|5S$};crJgTaZRRuj)dt%eO%u#N*%z#C5fK@E0**oagVm&O&i4E zF3LNO^D1+-cDf&YDv#!PVw167nKEsniJLlSIQ~*Ck!L+IWG?x5)$c-Yw-iFVeJ^1= zanqyzd$l=2URi@OBt+w{JCkooxj! zBKsu}w?*?p@0r5v-?eg4;-=z7j{o38+!Mq--|lHyT>Ov%Za#Vj?j;=VMci~B11=Ai z<9;8!Y)xFv?8!czgTUpDgMs9)!fPTP?Q;P>dQS5c;;#Hq=tamW_UU2z5cgJA;{1%P zf_d?xZ(+TAtz!|txSs~D{-}(6y2*SFs;AAluI7F}kK!?YH=(yxf?5A-6Pz!u0pEM| z*BLzCq?g#AjW6$4;tR#|Sk`wo;;GB`Qjsto-0UBXeb^qp&G~{xEX#1b#DI{Iu|~Nf{_QY{}lYaaM=O8clP_& zoo5_Rr3O>T#~hxCJj+dsc)U4guO_bY@pwgr=BR(~(|6*?$922N{a%j*cO4=ogNK|2 zSL^wAIO`XL`;xQitlyazzIA7-puzUbt6YCag|Yn_2)10eJ1qENa$q^=W@n)RjE*&m_{@*4ghVAAZPnQsjUpt~$KKbw2b4;?xCJEF&(L z9D<+$w@nL)n@f|KkNOS!zxvD{^&=9xz~AdOf%|P=o9}P6 z+Ht>;65LLj7!Ci?{NC!S)C3n>9uFg~OYwQ_HEYfD9$v1GAI0CB=f!=%zXQuMH8GDe zJrMDDTQgW+xp)K8yF2TVH}~o^)~OCHihPO_xuI9FQJ6|cVE^A{AWmIB2yxmI1HfH?;&bHNFL6J&7q9SqrKTeu5r5WDJTf^u{tDIMV+!0E z0bZDYKd}=RVSe4#o;+t8~X z{Z^6QyL^xJ8DZew2cd)0vbb6?f%8zbIp$GZc!c=9g~{N0LjmMXoh`JK^xmUM%s*@f zE^8m0Ph6z%x#R6!j6CR!VV1aC+6a1cdNJzL1Zdo^yodbW>dp-SS6ff=Jg%9KIBnlZ z)|cooj(lvPAm*`4!0n4dSdT7O1#tJ|F1UUg-<$NZdk%2Z?=i2t%5f9@vbebz#QB_g zg6sD5xmCnnmoK1KK}S&MYTGxsKX^w*GXLW)xLvTl4e52Y1K{%hQE+pmYasP2B64B8 zGIc7re3RLpxEIra^U%8q`;UFE4fLhEG2i$O``60fin#Srh*Rb`f;jbODVzMVxEUM| zy?r(m`8N%k&wOX8qfEtW(|Y6vtC17xZ?(5X_6*_yAmd#q%h9Q>u@SU*hU|b>4s0-sgGgI%_fc>+4PLp#8-!s2@2qeL8&?8LgpLN9!Pd9UIE~ zVc(0;yFC>$NT-`U!o5PS*~$L#3Fy~NtHbMh!k^$GeIm!%IBX0(XQzL}KB0ra^@>o` zr~SJ#xGwmH>-<8sS)}*goz6bfquJjsA5Pr-^8nntogaG9?d2fE6|@6f1$@FhPW45< zcgw+F-YCN3eOP}qao4K}_j{x+_gk&&B=DkB!A0p{^efZ$&n50z6n|&(-aF0xez4+4=#T7W|I;_YRp-)+;af2exb7>lpU7r? zur8$kFdpx(g|Uy>ew9)G-lTAFTY4wBOF4#pOy=4EE;>~L7Y&kdudp}Hfvbnz!A-s0 zIQPB1{P!!FXA`(L|LgcP%8$=>)-T%vuIHs;{}HuHa~{Uk<9)kk81@Z4p%wJf{)zZa z;eIR0$2-ql6>QHuV9YA;Mbmk_aSMN?@r%4uCex>B#`A6~ZbsdD!&Adaukvnzzb&y4 zKDJ;*+*jqEP2eW7Df{34n17c@Sj7InU&j6*cAUig+CE?LxO(#6cl7fSmi+bcBG8Ki zjS-LCTC5*&vA+wr-QF79J6bQC;R`;f808;HdKb|UKBoFSp0C(MtQV2%Bh-&AxC`g9NQ_NIKWVe!VvN7QH^Yv5UfB6vi``$F>oi<{LIUIWSR zHHROw&;5O@Pc1PR{a(MtK7V`QBJ(BALF;=R+~nN=E{oL;A-#SvhI!;k&U5Czg%pqb zF$G-QUk|-5voMOdSAHtEUAmY3@8&kd<;yQ|ghL_9i#fA9_EaWs5{f&r80JbKL$g7~ESu7kWLS$F~%Z7n~Q|o=O6DQ^H3e&I9{6Z}I$h zShL~70nq2-^`*=6-(k(Nu62pqHD#bziOCqR7qcJtOm#3X*X{X%s0Xjz>t&=D9eLj~ zo)7Y%O4pqSK7r326RNmA`zNeO%aWV@d|v42_FVrdvquq^KfMos*JL|xjE20$jd{<@J7R&-cW|f%{w!cUPhQ z#lOdr;nRZGsoC2T_dvIGH{UBZ*5^25dh@t~<}FCevM~z|fa|t9IREDpaj($V?!jMn zc))p!xP|z|y7#%?`tKqS^1t)!fBGJL~kkS|J_Z!^!b9gyj_6D zyJIu*Z%T50T=^sLvG=YaepBLj9O>UZPrf$S>M$=9H;f+ zI(Ii}ARf;IkD+!qa4!4%`7mE|GY0;3MuU6n`FCvDwmjz7#vX;gE&T*}wp)`H!)Gej ztv$~FzfL{(9YtJz&2?ytYtCE${KJW>E}7i#YTh4A$$il4ze;ePb$jT=m!%Ej=~oZj zIezcfiFM=QGvhyS@wzGEF$G3%BCbo$vpJx*n`?$_!wQ{Wg@<0Cj@637dxBmsAZsi}xlE~kE(;Zy>l7sV~G#u+o zjN!e_yxw@+TNzFrBe3)%kpdgA5_KCj)U{JVh}IVYC5{-q`2SGVS4A2Y8$ zMw}|VILD(_z~AiNg8fhzuFvZwn#bjiR_1k7aRGeX(nnZFV$0aEY2?3z?^kXy$72di z;QV~Z?}S64vEEbExy`TR$VU}y%Ke@_hB|Rgp7tUiU0!p)NhiV8uvFBo_vB~xxoSC{ z(>MLe$5p+F{JZdEu9MFmFCib1`VsW{!X>W5ZOg}#-UR%~{!f=6Ki0o>cl2AZBDlC7 zi1}5SBN9n(L;0Sm&Q8F-$1N?5^HHRI z2k!pf3odsbn@D;Y#`}-`wKwAQnzrpt{d&m@5x*O965|rTOvL>}29IO^*iDFEuk3_+ zmQBB5|B=IyHytOju0_EJ=EdW)5cE=vUrt#|9RkAlis}K`?)P$n(K4x6yGvy|wGW_2ohR;Nw#k^C(J} zLY(66bKG0xd*35J`XhcH*JB*+$?jAq&fD5gxemk1^SbNC`@eX`^{>)jV_w{6?V(r2 z%5eSHPgL&HI?n8wzeF7wLvPeDyhxD{wOB=k?DK6p!lD zoafgk0rRWtB6 z4z7ld=6X3;hxff<9ata8b?U|+;lDEmmO4*9-p(t()29e4g7eFaD1HugS8g7-tG#S? zT2`|j!tcp?NA};%js@bJ5?e-{CB0eR{}z3EIqyy+z4_w%GxS|-yL}Vwl|1-(dDorB z_itu^i(}QXj`U?;_}ING(66Z)-;I3ivq1Q$i@V`3cdBv3)$ZKzQ7>wNyVs@occd2c zPLjWBcbNO#G#35J98KWkeaY{O@=;18`G}+!(3_w5|H+!1Wsx^k`RxhvaTEFfP1yCx z_+8X)XnLHumEq{uw0!g(`IyYiQ^a-1VXSXkv56t>mQ_k8E^_mIM^5v{{-$ny1|Pki c|NbuqbjEwDxgK+r^l~TvomL&*G$ZZ*09cIFg8%>k literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/14.npy b/MP_Data/pose1/14/14.npy new file mode 100644 index 0000000000000000000000000000000000000000..04362c805569fbfc271bcd9c973ec04a4fd68513 GIT binary patch literal 13424 zcmeI2=U$E5#1eZfFk)9!uq2kKW5WWA8EV#NyBu#I4g*zzjI z&R~y<3Wz0uKDOAgo2XF_b1&Y1;CwxYFZ;Kzxu1L1tXWg`-b8lm-PN;iE*8M1)EGA0 zf2d!L=DbEr?`Abzcnxn~zlnZ>eFpjZ4I6HG`@v)Vhi7yDk%Pw%&wgL?hbB!LxYTmt zQ~Ce)uP|ebFDY`@E&El(yIixc&Yb{ph2&Y`bbn?d;+^ zwDWqUuGn_rLhZ6CwTt3|?pdyDH$l5fID+Td57ch1dfl<@Caf{q`GacYKZ@Gr)6Cnp z-Pz-fb~dpJwNJ@uzcUH#Dr+URm#vO=IVZ>e;r)B?Z=WCIV^eCUCS?1mPSoyH{&35- z>$L{$yj0geY&-w2f0Ja4&y?Sk4xb2h)3%$vIsKQaj`-F6su}Qkzdh5ot4-9-8r*q^ z=SFv>JTD%1%C+gYES=hydpisx6?hn}tQH@01zAuc|C ziMYjtQD_%kLo@Jv;>9fcoP70~UdumwjrZRsq}X|Psj{BFApZs^RY$oyjhd^2D-2AUAE6V749KkQQimf zt04;G;dkF5esztWm+enHKtER#F@BwtunEr}KflCs-F1&+U(J;yYHu@ni+#`B6IX)Y z9)Rb?Oz)5Oz546uhJ@@_9<;K$eXqaVhUfLeg=jZX(+*h94t3-9m2W7I=k>EqxkdJS zGw~7TTlbrD-!=QaK2aF;$B*u#_7072+ULZPq*U83Uv{SF3)aaavfs1ZjnJQ}$kJ`Q z+FF9@H>3&LWr!cO&!}+Dwu|d6X^^R$^DVqtADv5A^SNe zF3(@^U(pPC)%DwE+UJ~@ypgtDysiQ+Z|B0g5GS4^FXrFM;9}usaOd902&-2cE>pdD z7rJhJSoE9K@EKi!{1fG$;PdLmS}xxgC7-y3&xFr(4b{ zv_w3r&2r>HjwnduT0xvYyF~dZ)^V}bJJ*_%{>goC{J>0vA2zo`?|Mc8WE_xo4XZgyPx-yzRVfp4+zu)MxrRA32wUk{bad$wTSeyI+6bK{sxwd53Rw)libA5ESq5cbwoA9W6s^jJj(qMl`ZGH zV@UsY56z>j?{9rrWCr=a-3l&B$NN}r2KbQvLpnI?F?NjQqC^*P=~@o{D*C*q`1IDeeQy=oIiJkp8c@`KJ04y0L#U#u9UYyZrk~m%ep!FJoOOu&*yCnNyz4G@jq0D+d83s^y9xGELSfJ(7fvhRBvHt z7FjMQ?5DgPTt|G>dDNjPwgg;E`v;tl@R(!u&XsG#y}qP6JktbqWg6}wpQ`o2)w6mt z;UDcm`ki@ESGs3LAItUSx8Q6~QPdCjyoq(H8ax2!>jN<^b-XCnwVLn*dC=8%)4Z%W z z^Lt0ySN_9j_{+fWpclW~o^SQiwK((HPb^t}$lUwl27 z_|;=^)}Mv1hFGbnV4qZex2XOXrbDlKx?;S#LozsDL;I@w zC2FDdF^S%!ue$^1JxeMAe{nJq{hFp_$Y*?Ppj)yvOa;X{C3vcx+>fdbti2OL$&mj*g_ztZXpXyjgdPWT8 zXMY*WfBU(!6RiK5ZQ%NNF!G>&u7UNX>rj4ps{rVAaOz;I7h7kMPs3T1=alF`_$-(T z&VTF$E)wUC0xwVN*V*+g&2PlAXv_7JgV3}39C~v*Sy|3LI^ZH7tzT6(au$5L(tX|( zd5>|)O80OsID_*d53I=ntY7E*tN^Pwa|+RZ@}MTT96KE6l(=7*^t;cYU+KOT`-7bQ z1-NE3UOA-+^gN3C)#F>xxOU{81OE~66#x95;Es>$G|Tz0oy6aaA>Jby=d2S?=P$bv zP5nNaPy0`;Xz1mu6mb5i0rWaAeST2;TGIaJatnH0vJchCUq4blALQNbmff!tmve7f z=L>G$dEva%Ysp{x_oaRdr{mld>zATmQD}5dzpF8itQO^8l|K$2wL+q*=wiUpNDLQSuvb^-Co7C8vJ?`DdI){hPq=Xn%80#Cazh4j?6uCR2S1 z=81Yx-?XQFplD8>SJS#S1(#tT5K-SD9@*hA`gK;erG0NQoooC-bF6oMa69IUA032# zSzI%mgQh_-iFrxChWMGOh&;%wJhLq4T?OT*Ks?S_aeVSm7+1H#mAQ%^vnCkpkKbX3ib^#C&$0}d~mfn${+F6 zqr9oi-QeQL=Z4lt4?cx>WXfo87F~J>cxW;7>&X1%bK+}n^efte^M{)dr%0|j-g1?- zkK$}~3gdEOdLhpyXdlJ-ABK77t!poK%hsEuG|F3+q&!srW3uJW3tHFa$xqPB={2?W z*OLa3f0bj1hZk)SX1UC&10OZMALT9R&35af4vc|b4{!&UlP3CEJ>S|JTx_TPiWhOF zT5h(vAP=hAPQ=4h!C>p-RHb{A-Z+Ztd8}Az^=eZH`qj~=@cEhTPS|PnY)K3F^X`*q zTuuB(!sm-!;PUSe6#tuz>#UEQI2!#rA<0y?>Ax+rdNDNT-09b0r|u1n7aSDW_@htK<1_^OaD#1H&D z&vMzWAo(N~181Fz=CR!Ab(Qit_Bq`job-MP)<1a*xVirZ+<7o;5O{D9xL8EqArI)7)DH&c<~>UFqPRkv1Ncb_-kt`~p48-x=o%dzK0A_@p8p zJ)m>xK8)C3Qq$pR~dDYXLBwb;}xUR1Kq6tP858c z?sbq)BfmzS$i?2&@38`?Hz!|kPxxGO2j{OixE@@(o%N9=>HZ_q>meTQ6+a1jw+84} zHYyKpst!b*m{Tjsf7idLD>gkJ@+?-<=M?s)4CYIGh>+IDRLPC`Wx+S;92pU})^gtV zBz(-X@!;&|6SPnE%lTYcvK6?q?%)cm7hUH-@323y|C_cwP(RM;pW(0bDymP90(5_y z>j}=AR;IdIJJ=uno+N)KcYSdERq6!r$;IH$+`D0Z)jzd{xY_uR)TQyZ+lO`MgwQ;y zik`%mUZFbae6xwwvq?KBZ?7&vFPfA?J{|Y`q(ARZ^H?Mub;6s>hhD^FfjcD+*Rt^# zANsz_=!J-rH>ig=o!X<|!#@d}BeItV*0ocgz7G+NE+8I0F8q^`_lSaA#3F;>VMs zELW{)J?i_bDGx^{Yw*X-N#8UY^{Lj(!2QZpzD@D>8VSzQ-vnDdKNJP7-ur^f?Ng^( zE{gO7H9dMS_=MypzU&3om%JG;-Oa|ov=`+w{v5_DKPJam z&Z2&Vo?Sdm_5Y?e?hop#K;qr*Q~gJzdO#nP2(Bvr0WQ0I>uLLy2lHaQYRg>GM|bXF zxjEMaTvTsO{ww!)wLJTC4(WU40#`1Fx>(LX3&hEiP9aWxV(TuqY|f6*=UL@90r}_C zx-GSOH7qVC&x2`P3zuS@@~0Qbe?>mhH=Tre5uQ&;zmeuqeLlPv@kr7;&*(m>XGei6 zvmAOEwwC7o&$0MEK@Iwc{0HQGpE)dGJ$&Z<3(j}@KySQTBOa!6*6GWsm>03leW)Fm zD(4S9JG%j#U-IaUafQ)7qpltXXDMD-r}~-)@~^{!NWW^(2Lq+)L@KF?h*m%^Z*!VLzYxWWGn7M9? zte&3^hYy?UN8^gzG7V*_wqc-RcfozS`9qI^G!zsZ>h%X#b<#M_p{K4$KgM?A{CCpf!7>s0n`j&q6) z{tCY{@sK3yclOp_;s3>9=y{|AE)Ud*wp{JWPd@cI_7m1~bLWI?F01>|c$11_A7ha& zsDG!!Sa7v|Ke+I^fPI)f+Ch0}SQA`bipIS{?oK72*Zqm-`VHqko3{*H58n;WliSR) z{i?_D;LgWA=uwE}GI=lQRVMn?MKVxVW+rjR zcLc`EBBDcWziiq;=*_kp@DX!vPq$p0z6dT$zDl;fqIi4cLCaZ`haxYKPiM;jtULL4 z0`w~RXK-0|!wC3X-VD9E&=UQcQ%9FtKbAWY+ywsz{pzF7)?2QUCcwuT=#M#Gf z)?ov2*D2uo`i?o)UvD}|{WcFL?z;u+MJ}HOuHAFKFU?bHzSWz6m*A}LQRr2&*I3&x zkGw-ZBW_c_XDib=n014=+zHN0dk?mH&8Cn~vkS;GZ+&8g^=IB&!Now*%Xi^^mTQOV ziq$$oK7o0ZO8+M`BW?hF2XL*=b*Lwz;*o$#A#05@U{M`u>qHd zo>Kf@h>4c7rx(aym7sp-y9HV40_Klv|iTB6gL}Ronuu0?Hdx$9fUGY2BgmD`@$Eh4!q4jz#WOAEck_C^S6FV|`M^ia??vZt)bc>fS+Nl4+2!`wKUMcE z+!LHz!ze%h{)BuwD=r7wetG(GipLpAd22fw>&UG93?C=CIORX$ciJB!wt;ikoZpcz zKf*b#3XB8S*Ox-iF8Iu}@u)imiC14qJb&mU#5v*!^_w~tT!*@hwA}2ceM9;+0T)ka zG_;)i(ElOGCmU(Jndj-ADGQ=*`Pz}F2iEY*bylw*}oO+%1*nWBG zocm0vGU%7@Z#2zv?KTQNrqVvjL-QtU&~Jex^eb!8|1HR`tKs}*FVBPXT4k`mneCpN zt&a?Eh<^2AKgvVZ!*Q0IOsWSK7)<+5`_mgO7s(Idqq=NB{W~rxn=DryX`Sk<0k{XM z%_b)JBGjkX6FUnMbzpi&0 zdeQI(;^(a&hgrSY(F6VJaXrCBf8SN`c@+*WJ2PSS%>D!85IPdA0jCp zmukerp9I6FP!Kpj%GmDTg6jfsbh2iJeP&Vv7-e~H&_jd)Dj zbbJogzV*S?+`Hs6U3J9Cds7|qq3dbh6Hd^6_%df5?V)=h ztJoOpNL;7=R@Q!rI+SC)LlUz6MGv}Psg7k4kE-gA{FqewoFY_j;+gI?M6pQO7R#ww&j_4Q^V;A|B2q*# zbvDKMyhV4*#c=wZs1|(2yvUOIJl(8*HtjQ}S#_*y5z`m>=g;VKgm8b2I#(&9!>o_G z>kfbC?iu7+rr#L|pHC8;A36`Nzlo>1{q;Dw>==W1g!!?f^>OAqm`5{dBjPb``PNt; zKD8qGzrP9}e)d11RHSC^bfir9L5a(r-INeAAujma`bzf5bqEI9cYh zfeBVWVC!ME~zuzv@6XG^BaVAB*n+vj1NQdev_f zxE@t$y!DaI$02^U_ZjAkw;ONw4QWe_~^<&=gq_4N-vUvr>Y5J8xoT~Ll+*@>&O{CxT9(k6tPUD`; z<9-5X8>*rX+0>e}?gr5QZ!%7iK0e?2glvCap$GK5as||t9v`#Da%b0Qa6O0iTU9(} zwdJM))w$EV0rXDkczkXZ3ur%QFX;DW);A3E&a&E4oFhD;=LKisexkzYzQ^;rV7#(b zH=N@pnf5VNe+ana^|24~kmpB=CwvyTse5~zjYl@5b(H-*FzU(~SY|%-ZFAQ9xt#Ak zj-3L}e&qlE{tsqAO!@kG=_PzS?;Vrx-Rlt5LN4Q?J@6Gw`#M?Z<`f@Tpl74RJ9q4_s zCMQ^*cVnT~ztjIyn5^ICfzKV3WOa^9ar7%*e2TD~Z<=||a(3f4`18n1Sf{dhZuskt zd65UU^ZHcin>pvLo?rhS{pykK`1~jq$Df5yg`EG74*3RoQ2fjp=t~DszpjDUmz=ai z7c5tgb3U)6W#ZiA#qS^<@ogL0KYpisthn{*5BO9mM7+=(#Lr%IhQGO$^M3)sdm|G5 E2L;{njsO4v literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/15.npy b/MP_Data/pose1/14/15.npy new file mode 100644 index 0000000000000000000000000000000000000000..732198c21a1e8214eac72a52f9a31be69954b6f8 GIT binary patch literal 13424 zcmeI2_g`1H`~KtJdsJJ|xVKj8Uc|S1A>zat2Z)M@Anp-V9B5U*IuJFuN2|rXiPY7) zDh|}5##!y#z3TQuuA9H$`|J1ZFR#aW<~mpI+_{sJb1=rMdna$-3~Vf$RB?!3=-`lw zjd;Z-{tYTt;}!i!g^URq7&Ks1$PhorTMrBj^-JTS0Rw~m(ylAjs#mXewaV4_6#oDE zFDFa;HzUtI&$J&cD_?cLBEG_{#I#@e``2gSZ==v|ihsK7u4Ta-H(a}FLG5zo2ejK7 z1+Tbvb~_u|O%rOjD+kZJ^)9Je^-ZPARV4u1|0O_Q4~^`9N>V z^TFB%?caPse#H`V)3uu$7tk&}YsW+1o$lAq`aE&hEPqw#WkjhX?tYoc3tZiuoZ{NW zvKr(UH|3&hXZ5c?bzF}sM11Mf*X~-bT$}9LRr{Be_XdM6f7?ta$sEbfvS03dSIW87$vhG*@c^>V$(7CPdT79^^6u*5t z(f#kIeRkJug5I8(_9LEEso<{7^EJ4iEzoE;i?i%^TrR0n+Wo5Sh3Ni42Q!MaYf~i* zbz+kfA2dt5W;O$jyUgi~!d(|gMmzHvanZH&(6)4cN{dWrFOhu1`SNSmuc7^DcHD0x z+f#c`8`P6p8SsZ|S8FREPb~Ej+I67EqQo@Ll0V#Y?Yh%#+%FfE$Sl&X?YkAfx^`1* z?R~V*Ye@B<;)#B3)|xS{T@)=xd=v5Z-w(WrHj`Igq*Fs+>Kl$gK551axAO3dpf61ry{1m6x+e^UT1og!Hv%UMl z&9-I1uHC-93O)O)(iQl#7W19I$$A0YoaljlO{DlQbljd@NBWunqAo>-fy!~2vnk@? z_o9#oQ@uX=<@H61Ta}#{TpN*kcGw%}b5*>Edfzll)I~Apd}+;Cw;GvG7kQPx=sV%!{p2 zQ#)>Zy})=yvM;#l5wR5hLG7t7`>&w;sY9)28L7jFzM zeT@%%`Y!@Ev)h8JEn_l3Kf49ZSJjNTRUsGRsHuS@sb1uQ&CYoap$&_vn`mZ-x3%=d#B*&b)Ha{N}y~uHSIfo8kv3 z&a5lIZMJM!=i)^axE%I|c$QVOosXD&o%BU>psskvg{Ui?X*am=t48$}v|tAMjrIcP z_cNfb#2VYzab5Twxb)9M^|LpX_JMJaNMCj=#%02DU|rj+Pmu@Pb34t~)56W1kF8DT z0H#Y}z1wQFr#jBx2g66NEe3yCy!B$o#SuT^uaCiBy=@WgIBVif^LUB$yh6Lqj_akj zpcm2G$^S-i+D`_KgI>LTggUp0|ICEX-3s8E)uA|-%$fk6V>->_tr3?zoo~>C824*> zjG*z(FGu=!%_E&&&Mg4W9-IKTovUKKm@J(1mlX2MZbgCfGl$84@&Iss`qWnEFXT$- z&7gtE0}uO*`Q?6Rz;!Q0{8+sx*ROaqnDoUa!N*Kr?CZGtWfE~UkmlDXYMA5v@K^M! z&LkrbD#Mu(j+;TFp=YB8!JmCQ1pV6RJIIe{cAfGzAOic33`hp&HG2_neH#0%P8~}6 z=07KUx;ToS8t(k<^(6EwCKiQW+|mQR>nvQttr|XXdBcFU+jWJHo zR?dQt{W~YPN-Y!({yqb(mpkiF|FTB;Xy+qmpQXG-+@f{SWb6XR)j-<+^^n5Ik2-K? zmg6SmXUf~w3CM$P;(>K%2UC7@>rm)rttEq{g`EWv56hJc+?M9V!~dmu?3o)}XZsEQYHoeZBYRC;Z5|2E4;_J?y{CS8 z-ybNRZF6S3cubAGh||vR1a3=~RE{(8E4cjZM?A6z=GX3853V0A23Ng`Vm+EBaini> z7F<>_$b)_B1FnWN!aS<+g-Jicm+E0bL(1pM!oPaDZvUb4iR>E$ZlCqU^Nt6SKa1}M ze_bUx3~?@rfxqoYak8%~kvDVsHaH)56h3mUUljCTXx>$DA~?^S4fUfpr9iJg#}j`t z1A4W$1UU1H#=a!-KEv}`NB@rcw+ZF3zwyg;L!H0j1E}Aj1t|WRDVP@?dIRHCd4jNB ztXJYBH(vY513s*LU)rypt3l4k#`Xm_UV&J5M%+REMJK9HGq(fk!PY$(?DV1zEcQC$ zXKg%?2bDc0!f_tg9R8-yE<9(|)ttQ@x36-+M_lPoeEfGf@3CxSptqg3;5lmwhvE6f z3rCU9oO8&hP2Cmi#%1!ypX$}Q**&}cm(zt{gCpe)vw?(|C^G| zN4-5s@l+WOZdV+Zj`LjU`+sm2(&srd1pS_EMe#gZhdAXQZ-T&w?*mr}$1pB4y)^R7 z0{0ab6 zI<$0-(u)F+f3vFEGN-q7rlMbU>3FK^PvpF~&Hbv|P2evkj)9Mk>pR?WzL53}vG@bx zH(m=?IUn_41kG2{IjY;Zh@YHZ?xg3AOlo3r|I?$|{pylI=vUsaj{JzPcCF*Aa3P96 zEIWKew~KMOFWDb@v9}cEnePNQQR&aqrhDLTmPVou_56JI+E?6yz9}acMZfIuDvVc#Cv|uJ;?VctqR(t_9=K(wE^GI1lro=kmT4;4-*1>WW3Lk3l^B?}F=JeWAA(e51ez)45m8ynuN0rA0WGvWK)^ z@tmHRN2W3_a`D)xl9acsQ^4hbe`X@i1NXs&|5b4NTey$&Hd%vUeNc=e98YaQoJXuKkWK>f2{rp|OecEvS{|Ktd8vFOz-$Mx=u6lcPAa9-pV z>ef6xNBT3FFfN(PLN9k5Bz=}2X}ob?#=|Egof8;q2OrxZX@cXT#ti6Xi?-l8SDs0Z ztIQ$bDxo38bNo+mHlP;q=P7h9JrOYuK2N_#o<&q7&F_I+<2}=S%&;ZU>$_EvPd0uR z;ulYcg7e#1QE%!~EqV{C+Y;RT#HnuISM3C!CsbD~j^6u>_uR3rU-@kvn%}@;6lXaf z)QPDTOa5g(Qk^fEgY$#UNbf1!y9nls9nCn{`LJ=BFu&^N4a8}F{&6Mv_7m_?KBK_p zgxDpH+r9sie=vPd5GA9RI<8*L0T;hr#r`j{HbniXpL)UHY?_RIb-!&mznQ=;#3y@z ztBO~!AKFLcZO=)AOIZQ2Y;) zsZK^tFW~fi;CAGVg`bCB9DPmuaGC7TvuYujN7m>)>W7z|551}U1Y8YRQXTOOO8?$9 zE|TIjdqW&IUx&lTJo3bI#EvRE&vCUr{d;-4(^Q{j`zaTXszvducU9qIdYr;}hIP7$ zes%nE%&&dj1morLPiTF0>`!(0VFI3~#`j06hgFB6XD`FZe}kcY@9`bzO`cI}T)(o_ zKcp|<4=$e68|mT{yTWN6Z?(WYvhhiXpY7X7{JY%9oAl2YhjD#F`vBY25}d~;Eq0vk zr00(OH5Pf0g@d)@wmh95xL%I>6y1Ku`HD@ui+Dtf0B|{T=LGooSpu#L(R-yHTWYf7 z=6E-7`6d>6HS$l)Bi~#eoVR~KKEs;zhL1;PaBH7qeTl|prhBIO@R~i49~FEWF*0SG`RBo(8c-aTyx=LHyxyTY%&Y`F#pyI`L|uhgKPd|nDdbl>HG77Uc|rn z;Cv!8e2@Ky6?=$0^LZ-P`E&nP_i^9V-%vm1W|sNxT5R+peR6HYufjvHAL`-Pq1VUx zC8x6!^KZiM{r$AR9ielP$`=>rI7@m$KCh-B9=rM21jpsMlJMbv0pMmpR5*Ov`GTuP zpAe6}As0BVTK)(hb!;^BqB4iS?)D5^X2?P7V)~~MPA^vPBR-phi&Q^9$NA9G)bFmm zr2ld6c=$hQ0WRj&0+&UjraP{yMuMAH>G|AqDH?oSZt{sQfPIXW?TYncKXwDR{0ZzG12*?gkW6u zZf@G&zVxR0e;f#|N9_Vv6&m4vT=m-q&OOW1zSlK3&TstPMas{9UvR$j^kn$6CE(`d z&*1E(i2!f62b|eo$-mGo)S)c&9mQFXzPHG!*G9ScO-LuwkNGd{hpPhPosUQ*&WCyv ze=}tb_?`vuk^Q1CyZdd6hd5u!A~f%M#WvKfJlJ{!^!s+gpEp_xAN~3VoLBka1aR5# zKj2)~K_1xFSorHD*RVgBgS%*cLp@1fpZ>n1PlamdZ?YGraaFI6ctqOXF3`nm>cwI#i!g-=Ti&)tz`Q^V6dfoSp|p!-swSfbpt*-_m%0p?YAxO|gFYyRrCAsQY|{ z-n`lmf9X+_>bCgcqYugz=hlYo;W+e8e0g{k3cG5lwu<9cLHm@6BS&^9#;b+}$+V{p!4P&@c0Sf_$=l zKVjX8{7LXp{knnk9kuhfx@> zI1oYgvnL+@EW>!p&$pE@F7^62#h)+-++;mZ>!tQAaGOHU3-ecFyw}JTFG*kh5cxm# z!v1Vd-6bA-6P$n9-Oa@>+ub6cxUIz5jlM2^eq<83IdB$vwv+!@>h$*BCh}=Yded!Z zD0~8_uH-bDU%o$Ffe#o0J@1|V_rZ@ovm95sXnpbFV{uMncb11ZE-K81ULAjg^OflG z5_dndLL{w9-M_V1D8F+px1jwkzQs4=lO=sbpEE|Uh=?0fx{h{S zZ#3Y-`yu5a&j@-`vy1V+Toa)^Q^<(EIp<%W?kTY-xVfTiV|%!Oi-&w7=D9R0reT=YhIaHQG>|0nvk9 zoNVd==+*NG)PoH3Mn3t4PSBgAe#uV9>*m3FG0AnwCubtg}@~MBBI>E)GW0t~4ccAZnqS7d=Bj%j}^&rpWBYkYbYUg81 z{Y?2;nEu}P<~}{ggM+BwmQm0%Idq28i~2b!{(z<6a`4hH$JwSMl()=*;JnKG0LRVq z^nD|+E^(jP4IEdO>Hi_{dTTLW6BI({%+)y%r#?26>fy@EmGI9;`<~rjn)1-VHwHeT z%_whvg6gos^3{pXe+WG~KCNnZAdxRCmAo;yD6hda*x8G<~p$?M=_$0T4MmiyD6Q-v}@uXo*C?DS%1HS{ZbrN3t_ zXu1>q`i-Rcix)*6bc&hgxNR^TT)x?b`0btQan8ryKTG*-=^-_}dc1^Y*d0 z?s-4l{ff2q5vLtCfY$rowM!Dyxcc@t;y%04FH73(@3?&X2tKC5Bjk;5d5-54_b3Xk zzsZ6;utV8VZ>;V=@KHC)fy*OdSl9gD7vQ?_+Z!$p_3rWq_dU}T&y8`ZS=*3*F()Vd z?XHv1i-Xq@KO6R$>bXW&iszg+jVu4hWzNscnGeo$e?mUfK3u`aL{Ocp*VQP_CMgq~ zUhZ8?@$@K5^H_W2B*$&YL~wJVB)E9JAM?v3GL=zv2}CIWKT^v%3O+R*%NpDTwrUMn%A< z19 z|J6XMb9T4{^emwgim(0Q0OkAuHR z?STD|r_wr7HB&JzHp2t!NQBaU%SQhfb!fcyO-XclNT%}@?@#f_)uoXiTbtffRDUm8 zzjxnGcY1SnAH`Ee3zj&uL#;JjW0IQzFickpwiD9`o2U|w|O`Bt83dePw=IImxh*7b|>w7)eI)bECu zsAtur!c6$IZwap2okX7biDT0F*zSYCSt7j;iekQDj++w4h_76Ycz9@F7w5zJ+(y6h z^cuutJ@>3|dj7N|^!hLQ&Tp9xRd@o6pjJj;rCHM>%AO4>R92@jfO;iDG*jQCa7|Kj{0^0fhHJAx6X z&EIvF>(^wU=e~J7o$9A4n+e_`JN8u(a1!zGHZ|iNXD_yr|BO)RZQnJh6LGpC^!!RK zn#Upv-vM|I%BSoW0IpIC200(zDG2fNK~FJXCh0#BiD_IGoJZrjx}EkD&-}~5uhRKb z=Q;4g-6#QKs?`z?U~{^r!L|08hg89mc+Q|~k4RDIIFE6zJM z(Q*EYzEklHFKC?xE((RuS~`#Ei|2{QUm5AR)U-~y-Aw+whSK-6ppuBwlqrfhZMjc4 zx3B~2(JvcA@8hiCt$B%QKH_3ea8s!a>d?j%!@6UQ)6Y4tkJG$t$iCX?S=O%5>%8Bg zuJn$LagN(*Bf$BewBM@A8&`mDTm~*))S@~pdv-SXY}(K5>GZ!ZU#59yk6TeZ-RZlf zsyH9#6M2Kqd!lMpj8_l7JHa!pUsH_sF_Cc~xGX-XkK?jUBZ{-)OmKd1O`z-7JfU@@ pQ)gj*Ri$>3PA{_1|HBt;>AQ!{_8L5`>3{$Jmx2Ff;QxmV{2%Q$PBj1k literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/16.npy b/MP_Data/pose1/14/16.npy new file mode 100644 index 0000000000000000000000000000000000000000..b317b496d36512fe46910a5451bdcd73d5c2d900 GIT binary patch literal 13424 zcmeI2_kT`F*v4nAPIPv$IIEYatCwVmUP7YxK@y@QB1(`j2#LCqAZm=>>#D0{^u-dr zm!q@VvUV*NZ|>{PU-16=zWL?(obO!cntSfKXU?4GNrG?3Hto88BSwm`WdZ`j`wc5o z*C|s!sCF4or%X`ju;Ih{g!B#_77$3hX`jL2fvG%vK%b$3sn=zz)~s30vz(_B<@|5| zvI-$oE02fXsh@7H+Slk)uI+O-nXXTLeNERkb3EE@<1d%#+7yVoP3^iRx2wXR`2LW5 zSD=432JNCzTKi1(h`8IZ2HNFKZntUewm`cF)UH-m=lj1*y-EHiEUo{JH}6xs*%Qd^ zrzW9Yj^lP&BpmJHMk3mcAKx!$al1SJIr=yKGh%$I%J4JfuR3zO=>5+<^4FmU&~A#2 z*-q^;D$W1Q1&mKd?7T@jxwHHYYS(+XUDqy&_?^(7Zc)4S>2{Uc&6>3P+dg|nTut61CGkkPo`J$>*R zwVR18xh}?SI8XPhr?p-B6gdjvei?j{?~l&M<9Pl0Z)%r&7F?qHRaN&fU7MCWIDRLQ z`#)+Bzng*YS3Y~5Ligqb#_ybXwUzFdH%`tXE?+E1zwYA{wA;7Wwh?y^znMp$c1Rt* z-;MbU-k|IDWNPm_wk+B+EXDmMY6aR=ktGL+tH0hChdyH#+;6`3+eKujN7U~2JI#6fTqM0ry;hS~t)zC7q#ske zC|VbFAyzj;zwVD^5~y7dDhaMGev9#_&3`Tr5Utl#j6^VYWKRPvEC8iK1fB{9#odH)#V>bEAW z-`^ix+)%84*8<$Bzn}Gg9G(t+Y-?~mF)!xZ9xDdD`*$mFabqF4J0!zM^!u?C>tD6U zyx3=z4SejMoS(rxnP;4uNL+ZgKwU_$MC8YMG&bH8XRZ&tAIBBKekm@M^Ci9YJ<9v= z4t|bk-@YA)%i2GKyAzv2uf1}XBJMtG2(C_i#eBKGg@%#8?w_`wj(Z5Mo^-56+`e26 zy>7o9^C(LU7)CyJ%`NV?*BWs9@bh5ea%l+rpSsTaquB=%Hw{~Xo7n}p-}(Wqi90es z>&M1&oS~bdyi>W(GMV#JV*u8f?fZ*E+$MTKFDuM}j~?-8ByrQy7kP8u4}_1My=@tM zww(f3{cC`m&r_y>2Y-Z*-S-sr?^aBTOiuL?#XfSsQ<|ZEMCr^4#O3-dm`AhdG4o~x zQEzVUU!ga}lbFx)m`!^1ISyQhd;nLyx5W^*^KP)dLw3}a)A482l_DA1D4U)~N`6#{MfK(#Dk?>)NKgKpte^Cd`X| z_N*!5X^?gf=vWl%T^}1Z4*iY|W&dl1ct3GE%mHr@0Pchyhre9YHXb~EJD$hJ-*Y^F z<@Sfax(mI$z7_uVzaqR}?H|ed!%z8qbJKq^^bbmb>(FY5Q_Yz;hPZsL5x)-Vf61H1 zAG9g~pLqts-)&VAdgt2EX{1-haxwq)D7bB$z7274wivj$I2n1?yKjLz_4c!W?mplq z+bWy~oPQTVZ|VnNTrwa-9Ql~Wr@?jcN#NSo3tWA}`LX*neB}M+-Jm}>7J8MN_ZfHA z&0xfH>I?c+chB*9585&W`i-1_yPEqo>q1diw)K7FNBn-B^>xni{!{n@xT)D0Tzll5 z34f3N;I{di3*Hp>p7(=@JNFOqc=P0CpV?a@s9i**t@q|H@O*c7!s@&)W3}@5l{V^q%+8aeR3aMmx!80+|etU&-fmB zQ(>>CK%adB=WReF*Hw=yyw695fr~p4(Cf{w`;p#0jRAN6;Q4iL+X&)n?09flx)bZ) ztwkQ>t3B-B@JF6suel3JFOv6z+ZGP=ZvHwGh`Vd=gFDZ&fs2?|lcE162amVmzr5aq zYGGc)qYU6W{Z3xLcZwq(CnOu|+n40$h|gaG9M7or z?BA686?toc+hSoc6pw7T8*$2-{;Z!^R1TfI|#OfEjRi1A^(Ubc0{ z^G;1*f0NXe`yKIm1obQTCcxh)j#I2Th`i~4U2t3JDEr?V7)N>$JcZ-jdI;P$Erj|J ztFM5o<14w}-qWF%*9wE{I&s*S#9psa@F{i@>qTuViT%y~wJw~vGodH@Jjeqd=h|yN z&qUtBc%=-+dNEU8jqy&^oAO2AW43m|ekH%l8bCh!pYGt!@qxTfQyOD^xqfN&d9W?l z!}B*oNpI3~p6&It^U|9Rybt)5;qiL!M!#<9B-DfRn$HP(R&}g*+x{BnUEJ)=!ClYu$fvn^Xkjw>R9M9Qo;2KVtS9yj6`zgcY!M5tE1nA{f7!DK zxLbG&xH+h+kdN>`0dD6G0C(@K??YUb;Qik@{4MheBLa!bBaJ!EoGUoaEIO39yN=h3 z-g_A1(mzx}p54Q{5vP;<74fTEg?{!<)tk?k!Hs7x=xx0rqlqgYUe~HxSJa7VR^E`m z<0$m2W?PPDcpj`5bF?D+SL%XzOucV6!N+qj^jdj?%W{8*k&hCc*yoR;@RyzsqKL~F zPtMQ7^@zufU4%MxQ=)mig$8o|m)4pO{gO!ZD3Yz+@4`3_5zm5& z+w{C|$hV&mzj=|EL_X@xK+b=}dEVa^_L@t2H!O&G7cUq0A75+e(@8%B{kpm$ucPz( zSD?Lc9_Yp3tng7|%wpo^L?Gwq&<~vF`-8#d^)ZOkMC^gTI$w+5I|6cI|CE`A!{0rd zAu&1CN0+a`dea(tu z&Wfzi%cm*m*L0c-t^=0LC%sdG&!3_~!bQ54^Df6Gr+(TT-8l~v(!<|WK7x8MpP#eO zmP0(hIU40Az4(w1{pu%+z{R$89mr36R0elUG`QSUqCa@emGE^^nsXk`ZJ0`2KFb8X zot~Y2Hsz>H+~m8;dHe1q&IzLLqRz?Wzith<)9@{y9}?>IAa1LS2DcXr!^gQ(xjDF3 zPjJ_>9mkVCuRr`(R7N~H`U3k$_gF*R$rH*xZBDa3^T>Y0)z)&zkGNkB^WrxC59?hY ziA4M|>tS$FITZV<30ufKqy?|LW?K>{9{J4!=Gl9&&*9#2#KoRF;7-1Ch$r>^md~ZH zk0T!OkHkE>ZBJl7an=-p-j*E?F5|aFQ=F#tBXDux2G4t^a_!M?rX27wQw-LN~;ePWE^KS-C zAs=Vr&&abXxB%mo6DF=8u0#2puRI&0{zb82(d6Uax{iLGVne}g!m}yx|8$Y#%(nwv z^}2?-mE}^vZN1FA5A3}Iz238r^&e;Rcng#nO+LCXpA+n>Htf^c1-Jf_pm+V5JI!m4 zCB6A!7`Wc+1-%)bE)u*%Rd7@H7S1y=W6CJva$XgluZ+_%UT4qXQQp+=?76HjQ=ao# zItB6TgF)b8cY4&DGqia-^06Bmfy^@BiQVpnlZsF7Q`9$Dv?m5cIQkT+ZS9Q5jyKjJa7d0$dL4aYp1eJxQZ&iU!kt0S+tp7YJ9 zPX4y?bNEX=196H4SBIhBlfj&yAj!{>qqV0KcOLQgA-ZA;$8)2E_DT%oU==aZO(3>j3;I8`@-YeAw&Esn2gL!oFTtoc&>S`WWbWYB*DYQ75;@^A?{XBd+v;0f;^b~BMtOF@%h2YHXrpV8a2cD%2~_rt?rT_=2gpK9%bjbh*M?b z_e#^oMv{++ZV&G6P4jshk9pKTmE>_fe84_sH}yn3%hG}C-LH7v-P=9EJJrT1&=L8u zKb_+7&bhptxc;s#^tSgg)VT_t8%EqcFbZ70e+cf>I@lI^aTr{6I}R@94{wu9{^>Fx zZ|>U3;I8L%tatscCb(+u#r~~!wjjM()D_$r^aXL6*h0;S%kz@wapp0OGh)LQ>euF& z!agO!d0xi1!}G=ZZ3GwhdPDEtio`nAFVptVLYbjA?}qcdguY_^H_e&XKeUAURXtcQ z7V!J8?mrjY7EgrUyh!4HUxm+ve&Gjjxr4vYbQ+CWO5BbA3~mn(g*rpdNkdie9Wh`_xELc!NtbC*oVdF);wQ#M{wSr?;Jor;#wte z=U_*0x#e{rara4O-hWm%abR3A#^Z*V3o>VK4hH;&YL{{{2X_-+KY>e2nCAHTT20%YG;VAH6vc-067> z^{HaJFgLuPtEIopA|JJR27Khi5a`AA@Dapq_1EC;(zNeeygh~xH}m&^t6N1eE>o&Y z5OG=XM~=U~2e>sYM-vyLe8AnEmBHQD_a;Iwrh*&)PMptWU*e%3mz{a1yx7NV&t=2F zgF1lQr~Esh7!|?KsV2D}qkZ#9_{$Eb*5P{Xe&|)gEsirdXd!XkFcbSfFM|CtMD!0Hm)@D<`3{(Hh*6N7Zba)Po_SR z$&`oZ^T3_?o597sMU#oUm3A}#u$}d*qELr2pfHd3a}Dgnc1E|M6u-&o%lfge5WgHS zXc_sK0OoFAe{iQ(%G~>gMZ%<@52myHss}TeOnvx zxZAJd{2&)~W4^ci=t8$Pn(T;$n|KM_GbI(I?Tk3O-3pVz-fZX+(|CBR3V_{8}v`jMYsE4Uu) zcrV_6oDlw=@X1%`oe%rruZGP>-8xqvgS$R^!L?tBzT|K24n;ib>_x11S*-jx;%fOW z)|bA`c|La@btQ^07a#laJpMT~Dw%xh?1$b2-C&={788g&InRU3S@c`(xC#9VuacM-*^1YZ zc86lTZimsRALrz9_}lfPIX|&qW5{1WIL`5(n8x|Z5Q_DpyT>q}!{0w>TN>{*qS{~J z!ZVrmzU>Cm_)Ld~;A+l2_W%5+Km6Uh%(wHp(+LNAkzO8)1h>0VkY|(SU?Swlfg4f~smCkc;Xs0a0_B=V^awC4J6+VukI%%rNQfBCjLxU*p>ua{9>$5Fej z=zy!I8!q8Gq(Q4>^7rMu=^xhce61_c2!2&saQp>}VO={3>9Nm7td3(`A{tRYki#Kd9e#zFONwi?q=lr(F^(e4Y6@B z_Cr@j@wm=3x`O*FMEs1;U%1ZQ9_^7&+oIFxeS?uV_qSeHM|$K}_L=7a zz1a77Df&II9$el@`yJV%Kpb(^WC*z4JPUf&!OuGx4W)SJnZxHLHx+t7IUJNtdvr+U><#8pxr_P?+NK2FTR?eGcU??YrW zevgoo>i9t~cw8!FCi1DrO$jFMcm*I2?u%vcvH5QzZ#pXNIaMJY^p02Bd(($<=vUOs zjyRoqEq2m2<6CT`aaMEo*(C*qgyN-U;+#qHnGuWCAo>vnlY?DL`} zb9Yz)eh)2Nbv5}oKUYJ)#(OB|;rPi7#N7&954INX|1xp=O6Ujv0e@%nV${DK@L?7B zTVAJ5p`I>X+br28;`2)_jTh@kw;8>i!X@al$o6aAmT$G!9;xHy#s>spV0%l-O%z4t9h?>8b$4#! z`AR8;{5a!JKyNGGM*QML=4jH(WBxqe678Ay%)5ZNJv$xTW*5x29fOa1KCRAol|wx4 z4{gVg-tn9RfAz2!$2tA{Sojwo!~KTv_nD$eR!v-7ISGH$;05Qo{p*FqbvW0pm2;6F z`Q9f2KKb}uA+q)W*T+1t?%W^$fWH~!11<*r4!t`6J&)^UYxe2168+jfHNoA2gW2cY zp~;A6(SNM(Qy=k&0vop=9$gjOCb-a>oCC0r*+2L>qC+aT?l~_{Zh? z|2G-?zi>jpo!mvCm&GgdIV~~){_43e>ed-Ob3XNJ*Yo+)@k@vN%U{Z3eVO)Y&o8kK z+>FTI3Hr!?IsO)Tu`Zk?FE&JXiSSVaU!e}Q?HZL#e!cj7CA;K9Jo5S*O1S4`K^oBWHM;e56!!RuOe;{0FZ{Z@zm zi8`0>oM`gbFMQxHvL53)X;-fg`N#@=InE6HKB%{^Lfwk)V$mZM*H^w_rKV=B2^ z4>eYBoy>f)2=NRl%HwKy3I3w%P2}0F&F|e}SK9wyrOfV#eqWT~@z!sR`PHwx&n167 zXe{%L<9J`1Qy2e-V6&~{I1@5s-j#pT0i<`=x8-^`*^%e*o0$_3Pn(y}>oVy$KOJK` zkY3d;$@*~qJxlKxgz@SdJ(&+Yg8C7EmJ1>u=MKN8+d&K9BZu6sOx$Lk4ZV=Rg1dE( zqF*^PZU4#D8*%Dg(S6acS-|leIgN3NWoi;}`-#sFBF`3%Klpppv--O!{Pl0)Tvw%H zrXZf|A>igrH0DKB_Kzm+uFCkBK1J9G#3S;w#J(*DZh&6h8_x4sFYW(84wQmk^{>YB z*kU2R2e4&1pN?NJ^B~Vq@>SJ&f3PoKV7`ohsmaOIUvYjf*3-7}eo`&{0^)7~elO6w z`F+9d-#iZb$dSl{9NPhU)pJ4;^sj=z-NH?{K7(^f?^GWXoA!P;;NfMu*8aPzlit4m z483V@!JW(=t*BkPbueC;pSfE*G7Nkgp9h>PPoOt-y5spM^73;;HayIATjtmt(mUtN zB0q9MevDVV%8UI(WC?@6J+%_+OAX(S?}h9Z39jv9=6$YUUPQ*xud)|d!)J$3gex2*w_*8@5e%giiR#CeR>n~PepSDwY-lsKXp2Z*Bw4ci7 zlP!GS)1GBHZ!as2@lNem?Bjh*b>rXnMZu~)z#rD(ICo57ef)&M6p!uF4D%vZL}PxP zw~MEd-Wk;k+&KKbhy2=fI((>)|Nr|xmjQdt_ae=|EOHxlq*!kq+JaWM0i7MFVZS04o z#AWqa=+`}76!C~lA%S$iDErG9`cz~1dmg7mFZip3V&HmCU49<@+a!^E^ov2vNBs_N z8*IV2?5Z}1)9l>2mADz)jr$$9iG5Z!#JFTm P2_Lom3CH<|(8>P;9!k(# literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/17.npy b/MP_Data/pose1/14/17.npy new file mode 100644 index 0000000000000000000000000000000000000000..38f5d7850238070c9fb773d903cb577b0d38c340 GIT binary patch literal 13424 zcmeI3`CpG&`2UY(G-zyNkg?p>!q{b3$G#^^V-OCCtVJOz4wdXnC?XEBjqKTnj%BQg zM8=lePPSo;Wh{LMaAk>PAY6O8j>G%mW(xa!pHff*O~8ev>-Uw6y+^NG3fYhJ%^ z#`!*9@(*2waWOsj`sx8Rz9N>!i_-Ph5*pWWFA-l}bin-duCEu3zv!PkzUbe3@GpH3 z;1Ey8LsyA zCZEc+PndC8<{Rp(`kl`-VK4EW#W~?RE9Lut;nOkXiWwKzH==H~Yw2{utz8!4Tio?;GtN%m z!*wG6Gkn@76W$vgkNE8x##`=2-BhyYCBxMNf$zG<OoQ zml@Yj_9LE}wIdDJhos&$pX_OVT+jab6W6PyCF%MD-;lq`o_Ez;&kuHbZ1lQ)BJ$@^ z-6($D`N&^4r0eaA`=1(}C~)DO`Q(L`?J?K0v4a-id!Ds6#wTCKxRo5X*L;_)3&ogE z*0mm8e|+Ir^W6^Vvo|^CQ)h0jiSd2$xZY~M8RJ%;d>Xv|uBzsfhku9b`Tb*gxw-D< z5%iJllkcfp&Ug05Ke%44yO5XXeAR0{q93e`7gx==bZSf2Kj@s#jI&Wy?igR&^W060 z*ZhL(b;)iR7dP6|_w14v&A1)-it1GUHO5uDuJOq^Tt;tuWXAQ)lc<}BtC*jg@2)z= zjO!Kso|tj|wi(t*UvfuW{jK&=Gp?emf{RPpH%&gw^Tj$`=UxSzFHFEZ)$Q@ohFeWC zuus&I{5POaOkD+iqY9)yH4r{}TJ;Tvi(|#W*{M0u%jKEyw{AX%5Bm^x-T2s!Md2@F zenmgCS4rS()vs64r!AnDA0B{PcPGz*PwCd+!m$$V`>yMv zkPmN9`r1CU{w>x(FFZPf^N54se7^(oxA%1={hOlLH)7BP=+$3ch^MUpx67qZ!n{6L z180^e_21rKl;Qf|-&CLH{b;>nqGAnKuAR{rR*hw-kIryY?m3(<`-D1M|CYgdDb_lA z!2iT4aCxCIxO7P9W4Il^i1gjt(fN9yK@G#@kT&3a=vP{=Mo-5Ze>;CQvmQHHDAv@c}eLg*_NyL+DDcI71UX;=qb zTs#_XIIq?nT+PalzS84M3d3cGkKlHqBl^d7y^VdU(w~8|WkHyiy5)dKLiLN9(TNBjNtm}!Pv!T#hwtTgp)$9~HUS8aU2EzgtixBlxDjeP#`Kt1h_ zrJ&btuX;m&|1R{h&35v4Ekk+621C#Ocuajhhetvm?o51UJ><#e&72DV>oX|-t;4Rm zoBS$lU1~m6#2CtdUuEdkgVuA6o>eGLe9j5tb7H$1u0~e?=lnigum_L zOFVh{HsdcdS3$3AL3LR6{Sx@QTmWY-lIp+19b9b~O8zUu;A54o>237Zkg4FJ4xKaV z@geLB5yGes^It+8tPMNH8oiuJ^_NqIz+c5oLSON6525Gxu0zkW5^?_6#jb)|UFclp zU!UN-()mVGJ^6+!W%x!ZC;ny+_ODES9}ImwJ^zcf7I@Bc75Y{?IYKWgoJ3sRHVEs;_7msl z#)9+XFW@hBQ(U>XAvoK*GYWb3+K)VCksjcx&j4w-9=DU`)nNqj(yOq(R#pOW*BEda zJ}3ft_NV^0_M{T`E)BiCyeIT3rUm9}%@)w}TYbMR1q{YLG4|_WhoL%qGZJ!A=R2r}*&(^0&r0p$>Y==Lo~~5e|PfWY=}`o%sa!GoPwzVe)C&ADkz+j5FL` z90N~P_=p{JUsKClf%ExS&<|XD(Y$=ik$;_h(~Q66 zS{rrXatq}%ZTM99e2SpByN4rxvDI~j(enaR5Lb;ohxccZGJl8B>!&TCm*WE9BR@Nj zGMtUtMR7-bq&i<+yvF#*`hJLOC8eWpg+rO;MsK$n2F|*08`mF@%6y7|QHU$9*GB%z zF<}Gr&x?@H7f1Nm7yGRS@8nB)t|&|SWc&uMvx6xghePn^KNm$Ga_^#4|Fr?|=Uei{ zCg;Ruj;=JXpf0Eb8#ZjZ;WB6`{Oz$rsBgD;Ej4lF@+FkN%XP%H16(>9uJRoR=if4j ze|yu!_}B-hkU!r<=VVETiH5TuE|dSG&Zx6$RVo_(K@Xu9&P6dUeRhR_J3Et4sT7*m zpNFw8IKPOvI)5yZSN6=Gw%fW>Z}gnto-abhRajmL(jqr zfm<$7^}#>U?@8=X7M>Gitp_u#e@wXd? zB7d2b49=~Ebf5K$1Gmq&M_;i)yOtWgx_Y1Vas8lY`A5P>Z=mO1dqOJZ(|+t+qqnxv z`x?8~8tbUeHeF=$(aY(6q_U^ex`$MVFkCHvKye*zfy)_xqi*()LR6ni3D_^{WQ$GE zU#^h-#^nPimI8;bPiM=+&q9;B5NY zNci~8r+(TVM|Jz^v%zq^B@=pmkyHP>?2drX54rC<%g2DLu-Z|E>+0#G_uWPM{gvqc z<(3N0lK$WOPF?7&nTJXLaUtd_L$c_3;6A-)*}+}m!+n}fHU6p+&7w2hv#!aJ>{Sz z>^r$_1h`c=ANox_3BY?gThJDq4J}7~TklLa_#DdZt9SI?r+ep}Y~rd<^$=IzDT_Si z1{-~1dy-z=`+&Z(%TC1enDkvm{%=cRy+oVFzQ#x2$Vcm&a1(j*m}&9g*G@yPLq~(# z^P*$G8NFA^g-yUMpYT}2W$)S0i+~KA|8jXN^p7an7yfpOX^5*oAH(yT-P9A@npJ`N z=bzI!4|Vi=_}G8f2A7jM1{r_br6_UM1MADO@_4)Fa8a1nMe-y%&#xt7eZ}1#(6h!F z(A&|iYr&_%4%E$Vmp0@d)B@0RYXa6$&rCr7$ToAKSF>IcKXSO0@lku}J=z*G zpYnY5cc9_&(n$E|)K<8USidx%2YvBd@Zl3KQGfOwINd!*ukX~RxDD#Sho?;r1oylR zJ?ps|>#O#($9(OES+u`e3G|^lSq%46wvqC*12y!#_!jc7{s;7YBmI1c7kx+dKOF;ZZ66J8xoi$ao{#!~ zb9eGlePXG9`d0&2vG<@?=|u)1&#b)U6Z-=DOJ~K-aL>udD$yJDVGGXDe3SHg!?{y) z^3OhjK3Ai9jW=AKo=pB*?}M{Z+{19Y-U;#_athpP=Z<|X27ib7+W&=<&$AVt$vJuv z(1hx+wX-iD`r;SlY4@$$!EoNd4SA~UKanT@x@@P3YdwpEUS#;A{=(4< z_ZM|0k^CQdLvQT}#6Go3Tn4w&^FeR#m_X|?{uTMuZAbjrAMqxxHRckyJ)7Qt+1(}J z;xV0XIlpT`&)-g8VDv(Lf}UOL0j?7!u0{THz7p>_7F?BYk9>47dQY_bPr-bxe1&|? zyzE!>zQBve(|UbA($n~`-*eBIlmp<(Z^mTszTHuOT`v$^Zl3ICeALmp;G%zT;!fM) zFGkhF`J?haLjCm+zc}NgzqET~uG3-1(LW;3zWMmxx(D=fbOV~#hv7I6ZPy#n3(tyI z5iiDL3-o@6pw}r86t{oEB*R6+m*Ctp3|tI+Iu+M-s{kKfY&bX@ReL6Q+Hb^*|A&0+ zc*jMC%a8NnW6vE2y=wD*qT$wx*A#bz1N1Uu9-e#U=Y!y4Oa*Y=W-p%8_|!`9x7_IO zRjOt&U+E`$&BUV6=3&v&niGN1Yltvfrhjn0z+1x6XYwJVA87t7(pwiRD&xNfkA zcwtWd@3L^7TPzO#V%lFgAMF1))>oF~l;>Z$f8ROfr;HD8P!f7QzA5GNZ>^z*Giw0l zIj0l2+UVu)ZuA=!IQK4>ZoZ2@3a`wV)zJ=Z{@+rdj$VPK1ZsxC8cRuYI_0QU- z@Ud$yL!GT~`W@0L>xBN1&kxgmx!$zh#-IJR6h7AKPnfSd{TTBVqjUSAX-n*1nK2B% z&x?E66!+<2TE`j-CLqr%kHK}z1GMhfvWFOMg^Wi&((xMY_mgFCpA|mzcT+z27UIe^ z2hmr0BXOC}2lHjY7tmMsvp?W(2i=4Z&$gwh0}r@DanrNXFrQ9s0`Yk&3URH0FHldO zo@c4yBIX42BFht8ZHd9UD7KaIyxolA4(=9h^z!2gaNTSt;>t-Kl;OMA-yihKQh2XXwf_OP@*jnsopl|B zc~yT1t{dG2*I_GrC!2h(+yz&c62YyRQwKr6DwKSlrqKG{*%=G{x~<^i$~MwB6M=?X z4%AncK16Y!`bxu9st@^WqrVTbC!J;)F6!p)uYAGuoEF{{KJwu#=vnqN>}z?fY7~4P zNN{`SBI2Fg@SehY1cU2-Zs7LWNciik{-mGb0M71CK>xEqI!~1Qb>yi;mGQ{`Uk$yG zPr;?j{E3L`dx?BT6`{B*R|iAC^)@(b+=_TpcjV9FKY}aoaO@Y>`yKpcnltv1&Y<7Z z*f{4T_nbP&3+E|rk#khHs%<+Oe;$+p&L3Z*e9o$04Y#ue@gDQAzwEE~u)lbNE#%X! z1M!8+rz6k2Bfzz{FYU*^1<`N3@}JN}ioY|iUSMz7nIr@nP*kMl}>tLN*U!6{q857Jg|>MeTIGzSBpX~1{b39q2o6Ai_gu#t$yxH z5O?cXa6NbtxVoM<0z9@L@oLK{?nOBX`8Pd=xMCpv9adyipmSgo?JpV80D7J$ptaG9 zA9DX4LWi}OuXUy^o-_H1?~$i9!VmqRT|L*pKYk11vPYHZJ~Hm`Qp43dH<~Zw=r0`LdFnwPdre$xCf&c- z{t}4GlY2?SwLJ>?=v#YeUtBJ>+QgN9DTr&uk3-+GYv0xyy_|f3@^ShZ=bP1``X<9w z%Z7-{TLw`bj@;e`?w(D0|1j)#>-Me$!+DM8#9h{+|JBzr@UdI`49?RB+D0eB5@z7@ zUK8Xgs}H97Uy6@OHa;#V!Fj#Ch%00tU&HnLr{q8C8R}+rue#3ouuVUK+hKXBAMWhH zbBo&ljC>p`gUht7(~MrWcnhuz(%;!xRkyN+tD=Q5Uwh{+)L)ltNPRww&L5q92l=xO z;qYe;J!xKx`p~={K3Rc$eCC3)%sk-sha~v0%GBrTb`9iX54t}U`p{*_NBmn6oV^?r zihTU1g4-Q_2InO_q~UtTdGa6d3Uy`&YpjCLVd`6Ta~buO)4gEBWq;~J9X9}6tv@i) za4xdo&pxyvUPewa+%D(@f3d9_@kb2nrI$4ZSHaN zl6zv|W3POUePp-#J5aCIU@ z8m<%0f%BqeP#-bf9$~muAf5Ch_8_i4w6h<4-rNV*W!Do|J%2S^RDVPIkCEWAbLrmT zqv`(0@?~RPc+pK=+;j9Y@gnLV8&|`=7F+#Lf9*-{5u)O2>htKA;l@XfYzKeV?G*Y% z_i-C)e0bzga1nVH++N~33H~=v5udJ*51;$B2Ye>l6t~(Y>Z`jiurI7K6`|Kf(&3}} z^rt%i_#9kKi$i_n4`0y_O1gmaqFw$%y!vgI8-ErZ0xpMy;#}g9#TOc`Qfa+p^Y77D zy4ri3^Q=%0&5ElzCV7P2X39&LFf6~cPq?%?M!<9v?A&6%lc{aC5G$ylb~n)dP1*) z$FBh&lKWg5-j4bwv0!^MAL}E%$Js?6;@sm!K2$b(%jX+>xT~h~@ah^*qvw5_V_kR< zaoxT11jF?wdLCeNpOQZF#7x8O+4E=}y-y;pe)4V^d}3>$J~EFJ<|{7M!g<0*(|f43 zVk7OZNd@q{rwg`*kJbALxV9@t!hhWtns3Q(;MQ#&Vz>&X->Jm2SELV|jy}}h^gJf+ zr-0i%+oJw5nD!~(w~6#6PUCkrp7ArSV^7Lcef}}Y__KqX5LcvqM4hb$P+!vf#o8}q* zfB*gOtbqQ|8}E&_7ybVYY|En%{Cn}7f52z@LJyz#ztjmFBmc88RlM?}$DlLk0vo-n{Ry(ShlF^q{_@0@J@&s8PH2cU3A@;o8{?fgPbw96uEZaaTHh}y;5v%ll{ zj|0#yVwavN^!(*Rh`@L>DK=`+SmQR_GeG=T$De2 z#Kes$uHF3o3HjCAkKT3d`sQJ@Gtay$+;`hP-(%Z}Sl-WZ2^|NR@+&RX50 z{))cCr@go7FX+y)RM&18N8a?fkLMldhbLP1DUv3oxpw~H06jnK6ymV0V(~mbcIldH zmsh+nULE)AMfaTEF&B9-JAeDrwX3p6@I2e^f#-RPTzFnbR>t^Pl|z_Uv+W?_mpAsK ze-<#F;;(ub&zm`kPvD>R^jr67e(~Dl{7qc3NcWw8y#&w6wDZ*7FW+A1dbL~ZKE=ao zcwW|+{|UV9w8Z3eF1vlIP&s}-!0e9zk7-2 zO-^dpZ4XgixAwY#_CKFILOkC+$Mf6<{*;{l9Bb-!R;GH>!RJWHICc*#QFU7;9~jsh2XC*QhhzodILUL z_bhju%`FBWQN7Pi$3MaKfb-Gwptm1V;jdC3!-qGRbIs{>-iI+x&lCM{mbwG?OG*Ho9$A(I^!(e)4y z^N*%HTxpMSiNA=OQm4V?q5Dzr@vKYwHop`9W#=5nS+$1XW`zgpU7gJ{+i}&TF^zXX zA8=7S&s@i4YhQ31vK!pKP?3)F%`L!nV6NYM(!ZNB|G;0~YEJ$GW5HRgg5%(`pbWU^ z(h>8beJX3m)v6a5ufEa)oEMn6)Ny;VIn_mzXyivX3em0~b@CnZte+OeeyRHwX$k#3 z1Fovp23P)rIy$aT&jYtzn}V~pL*ApV;~NnV{TK5k{=6UJ{8^JSl>Zs`!A;u7Mvn6V zn)GM4U>@0%s=?^D`b}_sZVk97yLt%veL9qQt;^u1;LgDbzE%C z4{mbJpg39o$v&>%=qVIWU?A3+diYO0r)QB3pqE}zeTbLWGLyzj^-_@4;Jd4;Rss%H+=l^K5v>%z{V{fE`8Lj2K# z=}vD~w1Qp-WI|opS~>eVF3zTre^Or5k2-T5>r^*?Ncv-AF)qC+6V|neenxebeN1j(6PVo`U#oYl(B0 zzc04P$MNNZDE?7pNIxYJ>rpMs3(kHv;C52MX7G7K_Xd7QA)0Kd-!ud?NZ{Tw-qK7^mlLQov=Vso=IrBXCxt54gHC0X`zOSudw&r$WK`)V?&o z`Fag?-11N8S6n`gJg7bz>&QH%{M$PH;ICc|M_ri~mhwC<6?$7I8^$X-T>v*({lTSY zJ?vLcg-a?9{ZvDK-aG>V$d(kmKS;*-gW}D(|Q+G9@F_ARdAZqi+hKlmmY(W zPxEBd7^jydrxPEM30%DJTIjg;{Eza}XC2jl5vmi`?pJVg?=HCAb{zY^`mh>Yl`Dk& z$f)`e=+`rz^d%=C59U;5+UKVaBmL(P=vCz4K&Q9gPAC18Dd6@*66!}yn*c7}cL3M3 zzZ>rK=F=WX%ii4lbJ)#JMKd?4tO4wgK0t;uYdd*#gdD`h)ZLk7<5et|8uMA-DB0Bslxr1?Qbi zCVw98PyY9Bh9W=j7QkP=qBu=J0?p&q+Y~21LjL|^Vw~QFOrv#p%A%4ZPOCx6$9>Y-fw5U1xi z+tavC(7I;ZQt8}T;t9^`?MA<<`Hz@)vG_gt@2ZaV&b$9G#rd%C0OB8O;2cyVmiKdU zioL0b-@Yh%+zc1E@3GS(p;zPL>732i z5a$@%!eH}os~wt$;b z(PfG)h38<=Q;d?}JR>dUMYKPA>u*gWKb45T|}vbp&`A?E}2eVT?;Y zx=ne`y_@Q}RQ~YV&pl7p!v483}w61N3E>xdKJ+sAuhFqF+nt^_u1op(eH47usS86Lmo>Ih z{G&b~e%5@_D(9oN(D|Z!o~8RqgTEHRr%YeO!$x{rJb!Me#^-=R=-1?}i1^LIpVv9A zBJx15S$3-bbuCsvAKwppd$0(_vug*q?m3p??6w#FCT1JrRMm1naL~zDU;m`i)MfDKBD%L%3x6VgAqWe|!E4xl=2j7yvfXlhWO{Od5 zoDcV+^W7F*hkZ;w9Y5A_)8Q=q1#gZ#^E1_OKAIJl^7%Oz+I31rs-LFiXCO2k@aE_~O(*9>n;`nr{Iujcu(LT`5E z05{h=3a3}zSE%2Hk8w}ndEWaar*ppNCvZLVIXG*P(A9BSE)?8eEd(DM+`-3jRe|Jl=6`>3zg*N`YSgP%#jC?TP%D6JD4Xv;Iq*3sQ|k z{JcssxSFo%ezj={jVru4>Pi>b7>js5(0xG8?+(4lH5NYN4BdO}n{zZSpPV?aMe1RU zOU`LT^LQn7fs03v%s7uaPXbqsmrr+GPWcV}%9Yo^Mdz8lT)!+h2j%nJN~{-sy4nV( zH`OXYFM^t5ymD`?zK)BWtH4?K8PqxRt+~+o$e~@32cGFP_4{#MU&mENdjDbxe^S3K z%Hdp)!E=#kK4CHCCvn6&=dbNe>UV}W>R-RfITQZg^gDq1ita7?`K$=Xb})-7xoGJm#2HF;Zm(U#ea7&v;~ckPm62y26@l?;{#BTd^YL2Ew_Xjs6Gb8_|S3(Qt!|wTj^L`%S>e9oG&PRJ@+<$Ucr8qmZ3v+tuQH|<< zeG%esFVndbPIV|Vzo$B1oCo&@9!WlCd?C!2?A30d^Wl>}qhHzKHsa)$0#_oQZAZY> z&%>x5ej2d^`c!(av{mYn{&L@?j_Wxy$mg4D*#G5PFVv5+eyAU<>32x^eND<+>9$l? z**p*r^DKdJiSd8JM+8*{*HH@lq%gTDo)T>^zhdwo-F?#gH6fM3S;IY8cfu^1fcRUs z1vif_La$1GQQvVDw;6e356_Uk*$nvWN|~Y8wSzH_vfdK9Pu`eC>!{Roa5dzuxAWnX zGv1@O%%M2*H-wLB5Ck6{(g^1W+gN0t)9a_#sNepls6O{5Pxf)Ve?xH@ORLead!6zkNPa-tIre`V!eZr}?;eZg&9J6^~=Qy4;<$ zj?0m?$-nYp)VW+;8}q{R)9(_z_dRgy-N(=AS?D3sA3jPv#vi}G@okwfUi)G?I9qtR zjf+QZtqHCwHw4#{UpIAJkLUu<=6^z*d|;w*+)VLCoaUNAoTkP09j;&1mfmaRf>Fr7 z%-^2Qsf3N>^ST%G>|u9Wr>UpG&HOAhj|+!mUS!i}6i*Ic@<~iu>H6hd{On4~L*eZ|I3II|_8C1Z37lO#8S1$0-wOFx<>+3jeU=P?&r{l;S*s4vs}-pO z9k)fRVE8XUVTvu@tfj9mN>l(z7D-= z%kdt^6FP5%UM51%Uq_%{;e9mJaozG6xah6G?X-V!ual|-d_=>+;Cx%nX-;qayO95c zPl$*0$RFjnwR0%`&B4&K-u2?+8iVVnHOMC|V7l`Wg(JXil^zu51g}`|I@!smasljz;&dS1`&4B=;!~Ex zhed6Tc6x2|JwjambpH|T&L(_sb^v)QmF&iqI1=OH zU2@Yt7B_q0&({X!uH}N6~;I`!V*ss{tuPOe?HL(xN2rT9+fHlrXeo1v@ zmUaL)F~MuWy(8hnw=PL_&znK}BHX78qD>LVUjD0g4S zMaOR7dUG3a;avjrZYQke4DbI(FhB+TKs|eLkhXZsjzZt#QN1k zM&tcm<@-eX()(!MeRl>sAN%G$IG20D#aln=xPCf<;#qMW>)pJWi*r`C+y%WhcPP)T z&f~skhf$q~9)UF85``uuyZCqSBY%(E@KHG@D#!V!^WZG}`9<_sv*#H1DId*5zbfGs z@@d+X#=5gRlc85l{3y@iC#CZ-k2XLr3O7W**1yL>=OZEygLB`V=$8#>ryXa5X&td$ z!zs^R%cGr-EwUQ^x_lV%lr|Wbn0u7sEI*s_v!)o=6aU-Ufk%=YbC>hxyV2I7M^ z!^d>Xhx-6uKa03XBLA_wmD7vw`+}R?rzxJ|(X$+9)n(E0hp?ZB8Dq%5cztkl`~&%W3>+)?6~vRi zpM_vtyM6(;#~u<-3d4D)OP?X1q}=2`K5jhXZ+nA$_EWzq&KL2U((k}U!gQ<`y=5-^ zdEalaj>M)}*avvNqI-PO$HkAQkp9>S^lN`_+z#U%d>LG?J`1k?_3GiccohK7;v=!X zxc-FoC4GJ(UcV)soBOX%aeDixAGm!G1g_WSN4<%}!{9vZFYIsj;@Wafuk#c~-O77jtelbp5KTZ{e?R(C;?(tB)1X@80I%GJ9#PFV&+K>YS}3ZWA+p@Ac_1)%obG zEy-uq8LVrup(F0wdNAELL_{N;r{-?aIf&=)V~9uQH~_A4Y+Q*Ej30=&mV zKWZZM_DFL&HxE3+JwXL#Wz4^; zoxe@l2yT+R!TFQwF^-EHLnzLy3rYX*G42UEEF0-(E(JH|hKD-6{Chw3du%AU8s7-_ zG}&%CxII>j{Nvs=LBCatgR3JNBs5iMIYISltSC=yWA5~g=_~?=ku)ge%1>nyH?jfI!Cw4g>(X2c9B)vvF z^7Ep$@X0~@xjnxC`Lylga4rkaew2r^>uFvJ$*BR;JZxcPUya$N4sn8!c=K%Ql4rRDHhL-iv*E=FD1?!M#U z)1B(joa+hBid71AoX0+fKdaRgT;;wAy$vct@vr{@+?*^s75ZGY!1eRt;Jj0VS?G5Q z)q`j*Xy0pfdIxy6>NGC{ACP{_ud^LDjLs2rqZ-Z~+q=@#{RD!zX$YYNiUoudj10V^C#_5x9ZWC$iJ%48C;&vg#62ZxMq0%*x7Bgcb}aOw@_oc_Q$xd{&rkPu^=l0FC4G56;xVPZgbypX68>h} zaO}4%@mtgt`|lpcWy+SPb@VOmw>tL|tRo&6IXOAKUp9Fa`nAXNA|6&?=~Tzf^34>_ zPp!f2w#m~S*KacJ3A29$m)pBQ&o3V*{cnYkADN@$5T}=gE`Xc&^q#_B>4SMu5#!+_4(>qw=28Ia+2o-6iMkR(d0RSX zrt4Qm(z$Qbs7~bj!`O#;l`N=#?oYq3%9Lu@x7q!8_^Vx^m`7PH9CgBbl!M;Xt&4dS zjmF`30Ff_azr8*f+!nez-1W;>(EcEIy`=RR@?-|awK#&tn|CMjreFWP%yG4x?w{%< zy)UTGO=27ug+ricJ^e`^G-4I>$oT~Q zOZwx7!CBgLKc^Q_bueC@e1!JN@YNxX%P_hRF!`ML%{z3ybeco?38Zzwx4c~hpD*Y> zV16u)@v`Q{v7fMC={-~q-iY;OJO8@?`i70jr|L6sk>D}YakJ(F;^c=Id~CO)6CKw* z=yxi;;0^S8@8U6zGfww0Ir}`g?7eR!d@9j8W#4Y1e$)C7c3h+tr+K_rjQmgK*aLm^ zTJ)=n(fhcq^vk?t=l`caI9ptX*4Oiwxc|r{^q#J~QZO$z+dIq)Z_yrl;YWYhX1_0A z;e3o8NWA@B=*7mE<>1q)&Q<^Kur6fep$PPwK=*L=Rdre~(c$oyg_@90DE)4!LucWB zqJGJ^?+vO%d8kqdd1FTe^y+>eaP`mCK0fL3$SWEDFL%*2(g*FrKFkXG(!BJFKwYWB zx#vMYG63Ah^q~Ff>%HJEMgRBje_sal>cUr07d2bncc0?dh0*T+<+4|c!BsH*z201l z#eS|<{&^WXpFMQ$?6229IbF^l-@N2F+cksE#|Ni^9hYG*FG64F0@jQEwaGZg^@XRz zHQ_TdzAjT`hwH*;&e~rovPqm69qiLnQtSkU)Ah0#Zzbfd8aqAmr(z_X$9J! zSHCCy1N#4OX7uJc@U5w#R~N#u9z}3OnB(fz(R1!oL|>x);qtEG$?4zq+mXbhT40}1 z)sNA=;!#EN_bh;OO1J!KoO_;q9S6O+xE*;AYv0iMo2Lahf0c{&0doQQF-gnFzsh>_ z%bo>~b^VINHNNrQls*U9zKp`bp$P@^_6g-oN$aSMvAv z?nJw|T;T|{n+$(t&Y^!Y`>~s(vt|FgN$p|}zprW)#tF}+K|yc{_!K? zvP%!HQ=jioQoFhN4)v8G33sU7`^BPNEG!#NpH-)f_x~LDls?~4)ojR?S}VN&8w)R>)ZBE zYIpS=zaLWZ1-)klJF3-%dx}M88ij()+UEmD}{RDYsstz4#HlXPOUvM%?S11Mhoh>R+OE(Xj}| zRV~kzLhZ8rAjDT^XCi<7{t(``FA{#Ib`@~u6+Ly<>GAZwdzctTpT&@`@t!Sy9_?n| z;C;m9jA7CA^j=lP`{rHvJNj&zHAqNGe~P@Pt3sEsgySCGh<4q&@=wH7-QE@G={3%R z_r-{VnI-Y=_c4!5a;HC6aJ>ac1TlAnMHnrQt>v&(+ZH{&`{yFNZ2Ti{S{}~Tckx!vN(C%IB9GjH>o-DoTA=>X-%maC? zSXS~Et0#X?dRZj%6ZnVK=6SidDdOrLZI{vex^D?y7Z2XwfWF_ojl`{H?v})&pK95J zDDWlcc)WwNTqnI~wQ4PK`F%lN7qte!M~y0q{PdiUz+JnA(CcRB;4hQzbN@PoUL_xs za6JL zta}&sZUJ~mQ*haG5V&pg9(udFIqPrnK4Hg?3WvUGOZG3C`>t<#I5WgSFVB6+{9!b> ztNrU_(z|LU!EO1@7#H2MoFQ%_en)@J!9L(FSI|o0qDX7r9~OtBK5E@TgE$NR;`v#x zF!oFHPh$!HtBK$$xeo8M6I-?=E?+DJ_Z*)uqS%T0!9K^|V7#o~v|!@ur%#cO z?dy1a%Y4(4xI7sHy}P{)wN z$!f)Qh{?5yxH$R~xS3oH+}*yp2>KSU;G<98$Nbk(bElENck(62buD=QR4KNMxLc5! z$M;Ugy!y5s=9{e+&-$O%K<`%OTS|I6XA!s#_=kNa?pgq!6PLin<{W(foZW_Xp<;J| z%S)eut9#q$lHROt!#;B|^L(3M+Ml?n&HIgu%Zd3T6VGCuikS|2cV`0kYx-ZCkk6Rk zQ3qFYGmlHTu)MzMHu6PV=uPJ0SnsBNtr?`(AHD)tZwkTRTVEoYxO?3n+}=J0f3dY- z6mc)P9qOqj=i__|JZVW>oWBCSoVx@5HqQsle>r?S^xhW^^IUhlkN&!%rP*g*W#nlO z4#PTU2KD`O$;|diA*H>nv z&gRe$9l*m6@jUs^i|fC2|99l?0;5?!&7b@A>0OMknspr9{%;nzE?Ncqp=>q~Tnv~2 zAGvRAKk`?1C$c_eFu3)pI|6Y#q;bD4oJ1XLQjxEqA2bYl?W^E#=QKlH)9x16?brqA zMNs6|q?c9Cg3BtMnGZg~`|W@LaF=fb&UdbTjVeEY{vXoUpDO~6CfAV>;VMGH%y*RF@y!~zhPWR5J^SSP6ndM`9d%HdZh=e9 z>(|Kw$kXKGb5s2FH~Qu67>{}AW&XfEJ9lCI%EbN1#~Y9p`-zS&$-HJn81mec4P524 z+^>Y)ICs3(*?Ip79RaS2RDfP~;kYueCb+wpx&S_JxnC--1M{?D8vQM~9r>uzL)ho< zZF7jL=nddr`DoUk44MbM&kAs{<}A4WrXuv_O?z+ z`BFXi@cqP=7|rA8-x24X4q<=!QBU}LM|)4AxHfJv=W~_w^kS-@Zt|1s;Ie^*kKL{! zk$;0(tbcNp5 zdvRRj10R((ALAk}T;p}|mp|5vd-3B;U&?=9QTTYG3-4F?TlOO#_d_q{z5!S-BK08V zmHdq7r&-XB_xZ5x<4Ny@a-GF5yso_yOZc8Mur&8;ejKmU)-A9Pm}oxN#E8$Z-rcV7 znaKZ9KknDi8aM~#;O#>wPc`r|k5}6QsDqm_B$T+`t7su6Hhf;^J90_{gK( z!9~>j@z8G=1-;q28UEg-=a?tX`x@L{{TcOipM3Rc|o3DHqkB{JloJ|LY1LkdHVP8bDkeXo`H? z)%D=^{0Zy>Y8kH=JvI^jvVOZzXLlnWdAg5ZBY$(J&{B$P?_2^va!g=JS{wfd_=JstgkTy`CFeiSa)XhG{n{F2);j?pD*o# zep6kJyM8qH>t*TD#NG98z@6`Fu7B@d>nX1JZz$r5L8mZp_1NCaNpC6+=5ZO`(9vg| zyw>2kaRlPp(Pfdp%ls~uxOdJ6di9@xkN4o3sk(6ee@IhrA{5dx-c7mMqImaDf9M2SCQVN@cmQ9EXF<{%N|@narJ}l zI4?xQOz^iqcvDC(7pB5TbUVu9YtA$zE`sxLK4(^f+k!LwhOJ~(2Hl;*(cwPR?z3a$Z=PtUZKzOUDr-Y^i0?U?sEPCuKU;SPF(d3 z1~*)j z4C>>iSHQTaTRCwq$V+@ra{-CWOLfONZjME9zx=<%yt0MnEki!DZ-P7B2YT@$fPGS~ zf}3xDMm{1X4L+*z51dbQ6O5zq86SZ>KPw8oIuin}tCyTdT-CY5KDn>5{_|3P6jx5k z2_F}?0_(-SAG#GjtIM-~O$)AD#O?s%_VYF1`s``UbGto%6!}=6o~VPmbq4<4gU<%R ze|5(9uNi-GKFuTNlaI{57?=@JMjhPzq^q?3H17DdDK%URL1%1B`a|I{RfP@9ADu}_~iS7{hJiSxOi&=v7g9i%USQLBOje` z7WW?)T7%=}$`9@}?}u~8-R60y_Pt{N;9qfnaEk9yUa^8aUgJLup}68h8vEb4&UudS z9fN$nP6U^^Mu3~yJ+V)^h5WtJ^Q#B$ebN)>g}SVv_YzXD|LY$G=8vn~mG_x-(-2n_ zd5gN)R_%CR_5K9hu6f4&y7z+Pj;IPQd*;TyOTXjuS_Jd`$2$-)z&Aa8^{f)--*PY3 zo!NW<5eazdYugMwcy_Ti154&NR;3HzkVjN}Rl~bq=ZfPj% zr~eKvemPW-xXSz+^t#PLacomO(@?ZYM)sRP6U+z>d%tMvD4CkqSw*Y!65AuB2JY17r zo3V}~hCvcN(DeL3T2O(}qDehOJo8Tg4LO0@~_j}aA3rgkn zH9XT?-*hZDcLSGcN$9T&DHlszH>}G({Sz_I#iR2W7ZDW1aZlgj^>VskAJTi1kAS=C z$G}~SqD?8T?)3p&SC|d1Y6pKwT$QfH^(@hdd9Gzmz;|~CcRkXOr|rF@0dX1Ui#&Di z!^qQ2dbQg(otun(Sj3D${cY1qIA6TAo8hCT`$6wT)LRLk{wFzZzs%4}F#zKt^QLm# zYZ>F%ZetATT@Kc(Tm1c3jT{c{9gcwBWM0cYP3kQsy(;!6`)}{W`PA^+K-}x`H@K`i z3f#L|2l=R&cHnx$B=lEQOu+doT8w6&ur=VSO7nK`|1RVE`=|tPSyW-)kY`%+xO5l; zt}BJ(zGtgf0k=~-vd^1OM*33SY(?xpX7F#QzqhXY8uAz6z7MEfhW)_v=d;(iw>Ymg z^!8XS?(g;y*bnW&E6{r-OQg_yqDZ!H>8ZxXLoW-@M_l*t=ZWC{55ZN+3~*ED@>Jqx zRZ)%`H=kip<-J;2q(R^WP539LI=BnDh|E_#Xl_4Uh!p5j`D|KVrsGcsu& z`PkICh%1No;Q6*D48I%b&UN5pA1~)RCr_LNA61y=&$j(Imu+Xchq#xr2tMBSf6-re zvMl;*?+oF7J#CEjYyQ&_6j#np1GiB}c-+&1$B~a4{wug%bO78$)ap-MZym|`oVtkh zZmQm$LEO~b4ZV4Ilk49i7w)TWD|1;^aesR}oKA7|j|tF=*emc+rGC@IWtFqww%NlA zx7Qr?vFJA@F}pF>;G+i#B~WbBFWD*NMbH_ zAg(O)5yr*78wnq|a}4@xZ|%hVF^|@AKCx54b)9JbJvo~HUtD$#V|`RA){Fjj7W*vx zg!g%$*0}$OAD%K_o5=btpAV&c?B+Y*;&=YNSJiIrNBN7TH#qKHUUzc(kzUaI1+&k0 zXL&w1J+_kcW_>LCtk?m6QT!y|$98ATtD=X%jql%@^s?+g)^FnfAC%kUcwK+O>r3UE zc$eZyzpd~wlQi`Dqu;Tv-SDFe$VYSvVV{`A;OgUKjJvmcJnLWc_XxEvH}tN>aBz1e zEA(EDe=+~{#y#NHpZ~vI_#X};e_Mpd*QPy0{_aYJ$;9>M(;T;<4}8qzP9ezW%@uGt ziN9x=_-qr2%e*g{x1WdgA}Z(!&=;?Ob>v#l!9E~D|A_ZZ*DK#2p?5h>Bd(5r&<*;# z$>7R2nd{u}*#P2hN?&ksHVor#_h-la@#=46{ef2C?qo?#dK>Hy?(PQiJh@nu=i8b@ zaQ)yf>~Ff}#=6j-DU5k5TD3%;wsCxbZ@Q1@whwwyX&$flD+=`#@7qAH5BI!CI{Ts} z){87$lliA(uwK;5%`>Uplf{|GZNs{-e}CDQ;_5P7H+`Oew^0*Y{+mepNzD;g<|&T# zWlsfQo_hhzZ2|thR}@=3n|#E97Tm8+r+Hncbs9_DY~=ffc8&Qy(4*(ql#lfL0r{AZ z4uE_AR$NKk%R7R7o^%Gcd*vA>B&2e*)q7gqyul@8*1?jHLcaeFWgKK7ew zSnuxZ7MqFd4-dgjwsn~Qdemw7*c`l0^?5%B-K%NHQ^(Zc{M!yhzg(krE0WTE%(Nrm z(kGtlzxm!!;x@+v_`CfNQ8(jr#gL!+Ef2WZmj(5A$+BY?_ z;G)PIc<<%-}If0dy($b0dcMB2Cj0~TZMdb zhjKne1h|OkhCFro1Bh#fRzW_du1^T*z0pfJpBx^zzMD9WxNDPfu6ZTE?cKbZxNZ0o z*CGEC)LGrzxCVSrIQzU@hWhAV+f0G~1fGZbP(N@xBnPj%rN2Qhr)KOAS)!nK-3oBO zc6VU?k&zr%)B;z1MzMd*;Q7dN0`Cv5USs5A#|7his4H5HeIES^z4`cK>|^ft;~aNY zbv}2JXUtBbIy7Dk?tZ?5`pZ5)WB<3y`QEO6DFMBjI|cVNcVsdAbxdc>TQhavO7yo^ z#{Kg`Ce&Yk(;NGe=fiRJ427`7bjnFo~!u(k;U=}JHUGfAs^k|aUHU4m`>a@ z;`_PF&-1y+&qY|jEg9n|Z@!ui{mKX6GHeymnJ4evjwxSaIr&k5kF$aL&W>QzAA7$-(1wB`JvXF0wcC_9w6|^vZIBiHm6^z}4;5 zT<1S^aro2-W1f1L`Itk9EBrFfqb~;_PrKsQSELsaQOL)&JcEAOaZ@lZx*^{mM3Fem zD;2(L3B^@MB>Y9|3CL5N%Qc_4H(?mZZ4!!canpGp_OfTjzA9?+@2fV?6GM7^FXR5O zX%g$b;y4FQfikQgR~O@`4_CwQ0JbvM)0;8^TqgOCgii@R2i1qi7%!1jV15$ivvV$w z*Wq2Ln~C^nHE~;u@1Nf7bG*+C?iWeioF5Int=ARY8#ie^alKbDU)hZJfgQuX^d+A_ z{=RSi;lD?68@ASf{_oe&>-|TuADTm6d(x}VKSzD^nnZA2sqA>-rW@Y}M8}8B+kTAm z#qHyB#NOj|VG7TRCcU1+_j8e$@ppZ}C$OK0ETg#o=eJ;ess3d#UUqO}=Gz{Ed%cFu zBOh`6ALOZOzh`};4I#*LQpWF8iO*Oc9Y2A%E2g10!_R`t9|Fb@w?4d1Wh%#Yja%XV zW}}K@998o|7#CgrChje|?*{nDy8M0ImVCA-Dc#5Wt24MQQVR3X#lPnJPbdDKu3z!| zSHoXpT)d|3p?4ntzqYNhW*zzH3xk=b@%L_bdc|7s?iurZTTQGBJCFbFMb6^C!<3J! zft!6(;IHa8LUW`K(Bkv z0=J<(u@8GCoAZ3AKOghT`_VUy^d`73xUANj=iBSs;AHjx|NXyL0rNgLzJJQI{P&N# zstBjQ_tx{u@&59B2ljLQ&BfU?&&A^G%0GZbF4EIX0bm&#r%oVe&zihUX^ ZMm=5I?{L30Rqlez=PAfX`Bjfh`ae!y%jN(8 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/2.npy b/MP_Data/pose1/14/2.npy new file mode 100644 index 0000000000000000000000000000000000000000..c98cce2cc14fc10fa0565ec9ce7b9929e943b878 GIT binary patch literal 13424 zcmeI2=YP#f*v5xN^j=mUWmj01=mclf=$+_>M2lXdn?%$o(TPY#ud!+tYh_kvStWWM zy{%qi)hBb^`3s)6&yzRjbG~!^uKS*Q>NzJ1nzw7#vSSK1ij6A~*lT#euoBgIi5k7D zmMG0j^d3BH#IPQNx(^-}*vs(-Jq8T#mBfel?J=ZR(tB^8%9YEPE?JsS;Q!md^o%jt z{o_4P(yOgF@Csftr@R~QxcUCly;tex+{bICVwc>jsP)OZcAk~mnf(v#ym?Ku+pv#l zXDO*&+Q0{R{$zKw%MFQWw`r4~pV$oXLfkSf~j5Q`A+f66r}#;e0vW0XGxC#3&Zoe$bPiz1yhc=cF{e#{q^qq zEi3(%{n z4G~}T2%>!Q-h1cTxz9d4&w6IT^ZaV!dlyHxi~0x8H~bUzGLxe(J8m+Kf}ikIcJc`3l}> z%;xx{cAg{L+r1ZlL3o~jj72-2eP=uP&V=Ib)o!`}$i3<%$5M)e@y5?WnsNSTvPLdan=o?sx4rpepj? z)heRSDzpURsz-qfT)Q|?fa<>~@f!Ts-(Tstd`4XLTZ%k*{jrE=(w@OO;f=pwoymsN zmqY(07kqT__VBTfbFYT~#Q@-g`9f9}IaF@U-=3dyoX2LG;JCa~1^KX^ zqp1#!N1|VBeN}M2e+Rf(S0KXa&99_amroF{k!hymyk!mO&6%`V_vX(^)1jXrz-^Nz z;MThm^!8jma8)vf^p~S%IXzQ;;9}r=aFOlv498_-;%w3cTA!nC1%vM@1U(P+!?>6V z-r8}lpHdy#wIm)fW{KmfR71=Qy>>3@qh~+Wo+NIvyr*^kV>XPVnp?E0)0=(<+?@ZF z#@FjnJ@6^vG%gKmkUm4o+RjIfuSNPD?=fEHN|lk|)i~AP_d1R5rGFYZt_#FKZyRmE zIGVl#2RVPW>{$@Fx^@O!^z{jFoFDK5XG=4}U!L-3j*C{=!Nte% z$kXQNqdZREJQVrpN*%Gzq-u@+s^vVP2`@USZHj(m5?& zJp<=oviERYU48|OTy6SDt zTI62Y{$B7G*YZOzY8S+MG*>c!%ie#0n|Yml;GexP@c{!+Pj-J}D{!v^@HdwB0X~1r zX2hAk1bVij9r|Ub-og0Fa!0{cnGxVRuG~EMbPfQw6??;9wmjI?asGTPxIWkvT->_Y z-*H{?GtJM1$1l2gy62og$K@lczsN>$8TU}!9yd`R-Txf)vQcsDV=TvMaK5|+xDBjF z^J-{Ms`I5)=bgXobsh7EU7-Go92v>y;i3tyoy}W8{w*FRK!5wSa`{*f=~;L$8kdvD zgI&8AF&X)*s^2O9n6wKVH>18%-9p1@p8K_%?|j&!6I8dB$H4iq%h>gMGxir-t5Mi3Sh>piA69{&w;) znuq05f{RK^a4zT>zat+z#*6fs(txY&>*(BBL+7uR8xdE0PQbatpAr`@+7iFl5_~AK`*`bab)`|4{f1vy`j>EX9f>+UB%>%Js z_^vX_lcZ@5!Nm^&ST8cV9Oji)6W}jSSHOHQ3H66LJ)1!L zvks$mZGQE}xnr*sfnN3Bj=1K0{51GaeFuL#sT|h3K3;tSd^&UiXA^$GIcVA!?&C?a zH}x(ffB8K#>L7#vn(8=T;R}Bgz5(Yf_gy9(x8=Ryqo=h7S0~wU`1Bt{`spj+uU7ws zd17D81eZaFQBR&dG&0`BUAhc$ZJ7mB|JaZ7oDVyj7XD`MSaA09#!-&T;vKkCeE6pm*!TESLHzC#aD5}y0H>EXwu9Rid(ba? zaV+XAC&eL8zWXJeciGEExVXZTK)iZe=vkYA6CAf5x+mzPO)*bIi9*`>n;*NtpGECN zo;vR!oOh!Cukg|3n$fs435kWz%0AGW)fK_nrdmUsk2v3&c!ezR=lS>q$C*z_)WPOi zN%@3*Lq16>8+u-|E7jlkCDxscr1Ml=*oDtU=G4WlE-t@Z8G5~^FMPOdFvxN9VI#P@ z_mcAWZXE66ns~bJ>4|Zew`}Myi=19O>P_P^y_|LLRr4?npPB>FUvr=!^0#TyuR(j8 zLPP)DOhH zE;e!83`?N=Z``B%L%AyrGSr+-IpcC*h<=?CaZ{MHdRyqj1oEO~BakZ=%)#ukd7#F)OJI)1FoyL*%j0I2H zr*V#}zZX%zqI_vxXAfHt@A7|q6Wr8nNcyaF9tlhLUTuydANgf3d_;kx$cHU2k8#nR zz2+j%j0LF9b})@^+3k}Z=dpK)r~8|D`TE@uw?r2BnEcbR?sWb3>zrO*`p_1- z(F`1t~~&k!}3jWJ}gZH>daqG zMSppY-K!n9>2APZMS9aYKI40s^I>x?QQRYKz-8?CX^x821ccsIz<*jQ*PSzmIn9s!;^#Wnt8l&-pwJ{x5rg zt0A8;?rg{|4}4120+&DLqIv86sXcsT^8G3?H}Vlh76m)KNGwm|`{xhD`_-g#C)Gmu zi1x4G&+A3w{=j_5M;=Lw@#6MeZ|B3Ze1V=_IFCGSGrtwc=W#sw)C{2fhk6zx?&?>R zXFyrfSFeNpleL;meDo>o|DwnTtQS+dE#?nbG;c-1V${ue(f6))P*&t)L#v`+rqVn3 znAL^B*@oWOC-u@S;HpU_8s9OSI(b|jMwABU9oJ&r$(~!rxIE1!x__E9e?Tw0Y^&n9 z>bwPY)8YX1d}7`a&>yFL$%q~pN8z^}d8#WjptobM5f2|(#OcL=M-+D;eNU-&dT2jC zPoFpC)ABe+)E}|9hnws4eYw596Zx1&xhHv&eE6+0@X^84Ur|18nB(^O4a8M9!!W+4 zZeHxSa@xPNzKS-%JX9A#ah~#b^nH$wS`WSaT0l7;UCcl)a-M-+SL?G1ai2YcKO5Hu zT(l0t=N+A6Jk_~T6*|W+mcZvk<-Zb~ok@whu^G3Q$0zx#29rpivl`WN(29kQ>nq8h zo5VcSLDy}s9cTUM{vglH!TeOcJwc9}8n-B)#4g}sV+qU$TW%iJ!7q^XE&7gedabTv@!S#S^#HXfh<~U#f9d$51_i26Y96s6Od>*%@`t06M{r$&xwd3Y$ zW%3W+i+RqLOdH|2Y%&7ezPbXgjt<8>l+_M^i{gI}-@mVtiz_pwKz&4oapZI8l5m_K zFApwL)BR0Pn*u$n+74W|euq5ygT_8iuQS&{o-%Gv^7``H=JHXAw2!HG0W|-wd1Kwl z;q&H=Z#s?BzK`{WJsx0UJpOxdt!jN__oA~>H%c?#)E`8;d_E@FnFzbftDeOMp-{4-khkl=uv*=!=;=YY^+}3zPaUTswJ|bu8vEY64!H4(jLU}%18{)X`*bdwb zp#5Ad2%O`%`h7Zl^r&9Yo3wl2FYY}hUgGOTr(@gIK=*0_cY(9TIcXi`X^qc!;zz65sKWa4w{+m4D;>u6pV%OiHj>{KQz}1T;h|9Vi#eG#bObaeIrlEa%+zG@L1zM55 zZSpz|=|<<&nye3zSGsuk%Z>{-y7#)^KGL^74{kgqBcc0{0$k_Gig{}~{f2v>ju?o3 z@t@ygf0jL0VE*&!eTlz|#Qw&ozQpHo5wVf#vp+NOvS)Cw;B(J_tCjV@S=;jy<6VD4 z=aJ8E3&HKtbyFQ@@3w;*5BampnZ`QKyW~cmyg^~?!|HxyKbODi+JN-O?;?LyD_|w` z!-?Bl4Zvl&fvezuY$o+LbUMb7Z~JMQ^AY2x!AGWBN%MBbe(ay3YAogXVkY@is}tdT z^o32}dSs>KxD8PUHER+1k2yj6Ls(vnFZ)2hkH~cN`wpwtRXZQ~AT#vhO&R24T2;b5 zP=~e$mtSiV-@9;-%Tun72Io7nC%E_ecA^GqUQbD%VR)GH*MCl-{5Lnlxbrq2 zhdRAITme4pCx!aUi*-giZocKg{82a7V%%9wx$W@(77ict^ac9MOZ%d~x>j#+Hn$ws zFYmTwu8S)Md?Gzx2Y)34D1ZMuluxBq#C@9h!@uc3_f9DKCjOy#)x^Axyzd;gsC)qR?eaIZWzjOrY6 zm+G184z0Vn`=J-t8-d%nTN3^=)FG{~?<@BohNN~HAzAuvMB+d~VwFaEU(mFLW zu8(v+CI`(clV&A+nBTAv$JN{J(5v)2!F58OX^z{Lw6CfmUFn|I?KIsFTZB^F7H4T) zpL+$p$~K;SVn>17k=f8+(`q>BEB_3xyS9X$y$mA#ftQp|SnVmu({Bg3&h;0#Srswd zae4j^a8~O)IN$m)7~Jn9@xKzm<#_LL@QJ<*&PPyO9`qD-(D~njtHwjIUQ9iKeyK4f zu#Rlg5!eUhKM!_#T->N5(2LPjANKfDd-#_*NB(v9A+8;rv4`U}S0`{gU?Rp{#AU|( zG2SaF?yaievTSAL^pZ(%leHtwlfgxxXQ$)A^~%TC-*|uD%1*Bb|A=`jidLolYTDeM z9v8P1oogcRXskP3JsA55&(IipzOdDKr(@pXnE$+!4>%jy7wd&znTmV345$CIV3Dh^ zF2uK=>bkgWMsnS5)Au&|KUWOm3_%TP;1to&Q^h`t`62{Mpq4A@H%J*9A^s zU7J7C4Rl-#ru&8(;e+#3_ys$DN<7XBL>Ad zf6-w*xV=~!Ty&1dIc|IR17}@A!OffElbzmprzW5JGr-l>#@M&{n7xS0r*tF#$aQ_4 zULOnr*X6yzt(aH~aYy9=H+vSNzq-(E?B{HEDw?;&J7PYltJ7CFy)8%k9=n#C?iJYs z7a*S#B;s=M z9X_I@*G{K5?fW4vk4r~!m$p`p3m!n+vx)MrmO0A#hzlnW*F5v5eQEKNXs5T|h^reZ zvA@||3)VU=50yh)c02$+vOw?6&@V}z510F3z3XDd);KP@KY_pcGN0yuvzzd-FKC^r zbS#kf&TtzgNnN8y3eWwVSH+|3W(TdaA?j41F9|KR=}Wciy17y|g%| z_|9w;_oq+beBrN{Z{oKH@HbQQQhmN$oq+g^&K-4rItvk~&5Alat#yc*nj6z&7pT5sjzt>cbi_l~6*DLR$&a&6BNXK;~{r{hCGK=Qt znysT9XQlQ~ozt}emqP|&-HCh;!F8wV;Oz7p=;i60)UQ)@iKkzIxMpd2>er6};O6V5 zDbAl4`3f!~%2Pf=X8h*3`do(i;49GET;;Kk=|P7n?w0~|Py2mGNWAljoK5`E1=L^V zyomi@t?dIYT4jKq=L)BLTIC4%v+LDRXZEr$>Mv6HQ{1x8i3exGz9cgog%8^miSbf3 zVtiem`tS$nZT^&47rbhVEsl!@BPecR%3mB$gZaao(*2xoor--)#Oy;pa&K1n=!Wy) zuWwJ71OG0xj?|EU&@UTwaFgSF^?dRVzCiOZZpWl}m(S-YaQ*y0aGl>f)N$3AKBuT) z`h8Zv%Npjme7F;O9!=j1iQ>;f9Otpg=e6fMt@p+u0~{B-PeX5`qu_52uk8t+B{zwG zpGEl;FWSR#cJ3LtEIX9+1*&$3e>*xK&5LIk7qdMsmnTUs>m=_pMdqR+yhWxMe@5mp5r1>a+3am)RVGak1WXe~`^0DWCEMF`s$5y6{&= zx}d+h-jpyGpDpYMF00Z!5k6z_`O(b(0sE@%w+H!%k>|A23r+V2S)nJ!QSQ8ic_R82 zgP!#$hH+GRvTlTa6W!l*L4V?Nw)At{{79ec?cO^WFBz4d?#~m#Xk5b9QQd;GEQ?Rl zs{p!x@&Sj4FYYtXak+UAjr-(A;A+9BXvcMnp5!yh7xPD6+U4is%A@poUlq7U`(Cyq zg`8ga{Rh1TUw9% z%vkVp^gWfiO5cmB!Iy_4ZUWuMWcowov+3|4$JI$%ry}(VaFNg8{>IZ3z&P46l&8vj z9rqU9n$`=Ce2zNnZ|QM=GmlzQKI?PSJPdh*`;Q*q8{97b6M9wUYjk{4Tp8XJTqGuc zt{k>13j9qVIB!hnhi{cnrzjLvr2)p z)435>U%ZL^&Qv6SQ>W%Q=fnOA0oV6az+cSnhIJ%5P68K?>Hlf%_}_-Wf7m9{cYaRi z{?e1maZ!221?OjC^WMShz-#UCn!yX)8Uue86h74H)tSTuwAUGjJWa6*6CD?_8uY3j zecz}SM5ABk{6Of%iFo+yRq01Ly*abxyz|kK2dSQS2H-pugM-0k;E&+?^;x?ARGkH` O&c2}f&PGZLjoCenMPwpK5cMO-cVW=D)w)cUd9s4)~K#=iR3{{rrY&SLLXkO@4`X(YL?_ z=@9jnHi{?>$|1D^@k<_l{KBf3Iv!Q-hrDcfCpR z3fFn=o>OO%-nvg7Jmf6e51X6ryBSb275pZ%?o+44y>ji^dlR15kLytU!!z)_NNkGy zRQ5ZF$A9W^2G2M7|4P#XYZ@|2D~ex7QV(Q+-dMT{M2P1v-zNv)!lu z^gW*EDN{eW@9JH|))dF9FR$#rn^F_;ylt-0Zl(=70Nwhi3hq<9_rUWqb%%#=`U1IV zo>Z*-v~l`(`}QK9=M9aANdGRMCek=~?78CFwMSDt&uTZzjCL~&b&|E#-bDMz(|BGi z6=>JX=FoZ?HTxXer{2GZJU%?4_Ae7wq@??*_`46#zGFY;ftgq&i}M$6=b`_yS;8~4 zuc}G&wvrc(PoKuK-Sd1%F>pKUzbnpP|7w>zZexhcn=5I(M1;(Oe%T3HC&jW{c6z>f z>0-y_@dD)krYHHl`evo$dO>y?-!CRZuYWlSf023{K4SNTi_XX9xjz#=hda=GYOo31 zc$Exu?QBmf^z4hW7u3n=quD&eOCzkr7U{23H+0j z!OiVj#BZN(4WHCWG%k6YfZLV2w)0`E5x9Q-9^=KPG>vdvB$Y%yvXQ0n{panEj`R6T zpci-6VjShx4nv*4sDF{-u2@FnyI2N0F1rPjzDz2(%``g5aa-J*c;4Lb*Cq1Rc3j1N z4Q?|x{`Q`JA4adeHMS(_qW41SZL`;?y zj`M_rw9a~0ruy{QGsSV)+rFS2Kw;q>;%6mV7S9XK02Ki+ZfagKOs4w_fH60k1x%MIXsO;wto z+h@i&y*b{Jc=ybhS2B$Cg1`6Q;3oJhnpY){VV#=U7To?8fqvOyudwf!Mh~bC9!WGV z4Jy1zcK&ItpjR!6V!gAKt;aflR%igYjw=Lz`=;<5$5qyzq#v*k{&H9TS&r-Dtx->t zmKS>d{ekAt-@E`l^Ii{sF_$4v=KV9(zoNxFXQ%VULjN}h*AW#d&*Zea~ z=e*M6$?{|7xKE)1$v>=L<*kO3 z{%9bL?~=1vFYMco6nDcRs)Juzf2TKNsQxNN!e1mdLR?w<8tP+Lr$R64?45{y6*^9J zE7%@frai~J67~90oewX?c`q)$4RU&Qdk^AjpD!uyi~Xa$9A~uNRm(eP@jcN*JH3AV zC-i(R-3OIV&f%_|l^+kz^3pw3kDoQmaardd^jEJ*!u*$wD$jC0>g7RjzQEFYi5ZFg zU;aq@zws+Xbt_^gAnyE?(3`oDRR66H=)Cwk1YArV4!t?HKfvilo$=so35~BE_B;}C zGmoOU7k!}@bvF!x{=x6ys#$UPvpszlIWBi@2iMn1LT``NqdGLbM*dxB{fgu7;@~gn z++;`I(t1zsMCU@m|49FQBi64e*I*?4M`Xc%VnR!Svl=}oBcIb*!TFiJlxO)koI83z zHgK6a1YBkEfL?`DT(PkRxcuutJp9Eb%74EP<$tt|a-8*E2d+Bz1Lx6`$AceRMm&5j z`9Et<>#_bkaQo&2@y8y}>k4hbO>BMim*2H1B&Qai^M>71y zk?S-rcTa-b(#vUlzlwm~>@G<9qf@ajnL6)>IUm)4?&E59DLNP8iiCm3b|If)dEg^+ zMPppp(o5*CS=1ZrMMu^c=aufmrWMAzGgsSVztT0ldN?1uybG2ck31wY*iZ-qqX6QO-y2 z>W;X2X*D_@*E9`6o6{ z|6&;YZ&BUE^EJdvG_K^hnXngnF)RR_b^m}m^Rl%6>(>7vAM^1*U&LMB82PAwmV&F9 zc|yS#(mr6)k~8{s7UAudb&lk#jc4fPR2E5nC>-Sg_Lj?0i4@MnR3sIzX7Zw`E7rXU|3dXC0-cV5ix4C^Wj~- z1!qYI&@c1j4Xg{h?u+}m{j6ho$AA5edNh<9<#4PTrWqEaUKTfgg( zPH#f*!AG^)gMQh_BA(#w^B}JLZ9cfnHMu*uUq#BtSAp}S=fRH4APrx2tTFlA$~MJu zHOm8f8=M_nMaMUD+`dYsy7j()0pCyhcSvzQi&lV}=Z}fk@6pL|UO$5L1q;GQPi$Vr zapBVqoR@7yaWC&ep7vxFs^iUr@R7H7u6A+6C3+uW>kdHA`^WWnoEIvC`tY>!7#DlV zW2W;r?=r?QEg9Ur5ID!>jak&M`^{)xHHx0?^m^e{s@sQd(5pB)k9gWe(w{tre3VxS zoY%7BKIE_b8)6)FoAn9EvwmUnSv-oyJ$qoR~NF=STFHd6w@BUUw0=?sk;s`NN{KoR7`j8FgTpj#1oh@x2|Fv&TWt#S7x< zUYzq`6{gX+x0z0Ld$x6@*PPZ!1OTTU4BKuU@A9i2DJxWJR1GjbBlFybS;6i8Ydp+BLtGZu| zc5(R-I;Z%khQz-}0awA5$iLua+-GcJhY?QC%2h_4_3jv&54HZGb+nJ}C#pkv)RTSo z!ue}9O86N4AI6=14)I1E?llBg#fs3l3~5RGN!N_~Pf|7H!>%vH{l{*phPdKXUT~3h zAkH0mp5~!E^_u2Yt}M8Z$pPfU`xT(^ipvy)Iv1jQxKUS-r|sNp3G$hhjC|zsfs}th zZ|swDDZN+Pho0baLht#|Ur^BV`scC#o0?f@{#5IT`J*3?MqGW?7j?6pT7%2e#few< zN5ABQ=kT%TDuJsTqp?rwQaOn~Z;kO4?QAcv^z!SE-+{BOo3ZZnj^!9%6G-8SiDIXx{QA!&bn*AN|g&@&=L5 zU#&t?(*4CPx@X#PUKmFk>Pzp5r^HfJ%`+(kCS>IkXZznfI{mqF4^o#Wm0_O!LjB-A@emijW zGJ$+TONKknMJdwPz6x&7tnhVQ7X6I6nGyG}zT^ix-plbtKY`mODd;cD%2zthbJT&4 zo|%k!&L=I$xEP->aFgvOxH>ejtJ5pLKPhgPz2GdYt#ENwz5mFkHvN7j8y{&7?m_>* z!VA}jUbh_QGCNIi!=}zP+zka^aD_zfa&^~O74MF{_cgF7w zE0W+NO7tN8#RgcX>gPk`pEon~=AJ*sg_pet&clBsK7Pp(#4Sa7J0|1(cS=8SeK`So zIeannd|BmbPOmG!0Jq-sd#2snWtrn9;0^I#L!eiIRgsT~Xbmn#3`c*(zB)L6S(#99 zGiebx_b<{GK69hN*@A7PuQHeRjTtRaXO%h_T-V7Q>gDS5xFU_qWFPYRVdg;a>lLv7 zs7H5De^I^rBIj>+dEIsGCg(nyZym4T-Xd$XfL@oWiTqh;5cWf5E|9)_k#p`j+wdLk z6>7p3=;ef1#I;Ea@t&f>?}Lk$W5MOYq>=79y`?aGM1_8o|Dhq#@Y~}{{LKgC!+MsT z?l}860Y3H`-NQv>WBBu=hveTa3+e9{#r>T9y&0TUD+VsUei-C@#Li-r|E?Uw`^<`j zf8WO7{6iIR<^S_|h}KH~ThldoKd-<05PgxIJ4AT;=n}y+Y4CNqn?FxLmk(tn=4RXMoFW8^HOA z!V|z>{0?qzZ3fpX|H6JH4irS5y0s_m!`I_ce_4e7Ux1%{MCU?6@8$3rL)^4zPyPBX zbcN%x=Op;BjWf=BrGMw$k|wxM-Im5(XZscN)-?PIzf-Yl>nZ<7bK%3%YRzyy;^{hY z9VNik;_9e_IWimm((lq`=POS%#`vnrKajo^{r`^a-d8&xzB?E7i`PLu=0&YQ$63YB z;3lOxxXeEo{pD4ckpH$qXPv)_J)qqu&r}!wGWHqtI^c0Edr3Nu-bSL|o;c@%u^J6mULl9qm_{-Yj$eJRhwiS$qik z%j&Jb{4viK!(Znf2`;vc!97+@H8euUFerw83nHP(Rm>TH^TjgEqY2m)lx`b za&ABLYvv8|S()*BZ)~6LE`Q$d3b^b+>yG_AuB+3FkO*-8n0_xZ0m*cZOkGLbb3OUz zo*&_S^oAJnKfVi`kGiTHSDwAVRnQ4=QFJcWweY0%B}xycd)j}M;Gskz+ z8jn23j3Qn=0o;sSMdN<@XK?mYBjP_ig1_wNh{O+5ch&##;oaLH=^(ED3 ztS?n*IXJ)S4Q?{$Q_zp-4KB(Bf%DP%FyHjLWN@4K3j3QZwA$0@)ulo-pRYGVo-#VA zuU9%}ZMH(M>c`T0f8QPT6eU_gFCsggaXQ|wG}eo$Tb+2bP+Bi#tBiB)W=K)urPtEB zm^=>m4PKt=rrXl*Ha0jWx6`Npy#&QgD?;l!dM@UZ}|Uhp^JC!$l*_4e$Kq+fU# z>sr=pKGbn>knS6@aRZ#Ee0ZaY&Y$`2Lq7W9c5wZ?#C-6&1L4EEwg+dGd~jZ?jgio^ zcTKQ=iZ*GuC-85n&T36Z)Klm69_iw;L3FM$ul`iGDH7{Q{rV62tjtB{%VvrF!My$j z+;*r3u4ZnT;qno8`-7V=6TrDou^7i?d}i|5Hiz^hst-f{d3GRwyI}z7SNRTb+;*h( zWv0{sm(h>vIj*`DBK;Rj(O)&UEbf`AOJ>YleXSqn0}GtD#OckGm6YcXrBDZ5p!#gY zZ9{(#z>av)JdBB1mXfaL+v&Uzem?L~t3yUOZnxy6bx~qH)wAZ@&CW-c?LzgBe}a7E z$NL?eUYFWVc|Mqmda4c!2f}ATZ^~!ia>^%i`b_5|lQZIWW>o)^r{+LEuma-p=Jfxz z_G$htPS0cd!{4l;-#K;i=P1WjY+rCuYYVN5OZgL>k7#fRaYgtb><==&6^)}u2ER}c z`h&Fp+vFbAt>7u`d}Ow- zi8suQ`rFAb$HV{OZK^|X8E~FEXsqM<)3ypgo~AL)bA72I@?qbf8|n0X z+H~sgz*3Zdo|w__`I*i&HLfVQd3-0zaohAD{LS`9s584YeG&9mrjpM;vr!*2*&`Bs z9?e7L;ZHn#Z-nD~+a0RIiKgJHR$J)#$o%kUscpeU$=1s0RmB?Aulgb2dVp`7O^saGts!T8jXF)d_i&5gH_vrMS3f=zb+Xe~o;2rVXf%txoSLyh}UE zGj@KA(=$WwaWY{ExbO*qp5LVY%5LA#JZzAF{YQJAKwR5mE8_B>F86jmywG)UU5)<# z-TZW_2lDZG3@#tWLoceN`Z;b}(D|s682N;ZsO#m@8I-Y~M16~Ot+pShb0Jqf_=p0} zFrW3um&ji|ZUoK>)BClGz0$||Fuxv@&m8)Fo?qXF^TOt*zrU1qS0Jt|{=T!zM{d7@ zaTKGHFi&)FgT>BAKK_Q{E;@~IWWn{vI=xwR7n~niK=Wrt6y}5U=in-_)g|}5%~^A< z)3Y439+}S=>`Qt|&FPNw>`S0Ge`lll*8eHqzeH-reZ!CbpIS}}P|i>7yhr-enNT0S z>T_4;WAc?m{>pwy`Fvj~-0692S8(=xKh}jA-Zj8+9iH)?zH=dbc;OTIoR9rX?}@t4 zZg6{-_FLAQ_5nGdC-Ri_6S1$d#j~itosObkYV|0Li_K2=2NAxJ=3y<1`-564D4%m- z$kPP3iF5f#?*ZWET^z>6jI2WEeo`jPf41&0@{#9WXz1tB{lQ$Jzmw#Fm2eL7#M01< zZnZFuwnT0G4j^+;Jz4vK;4I?zLC%MH(m5!~KgM|J_NC%n9oU{2^h^Is`?=_wb)n<7 z3f(_#)|05GWnE`F&hLbhesxFMf9eif3ZDlO+!mmF6pMY^#4BB|=h6E<^QXT@vK_D0 zc6wFeJ@h=&9@-E2qLxlCf@-5a`V?_<_|j0vRSew+*ob@3vl{pDJC8g)0eXIWFYP}C zht7ddqw=Va*;fGlRSOOF6Hzh*dX@PXtS|mCH{JK58i2Fx_rXufC-`SA7B( z-XllBKY@OyGIeR4iky=%4{bfVkMU>6ptt$I9PISklh&zK6j$C$>krc^HH8P zFVnrH{W6N%o8HIy!n;#aTphmd04~Rt!aS5a{+;8v>__kErvCwqi`w`au!-xR14HW?LJ%I`KohuGdS)4vPi%<=g(>ff}7k+&@a|;AI=fE<|ygk zyrj5g^P*pNUo~(c@8Wz^Eow$M9~59vbSN|(M<$nMgW8mum literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/21.npy b/MP_Data/pose1/14/21.npy new file mode 100644 index 0000000000000000000000000000000000000000..348d915833fb8f3e51f0708e0a7b775094537a17 GIT binary patch literal 13424 zcmeI2=YNjL8}?_})mE>o#VE^atF5wFnM7MGA&3%Xv>-v0kcc)R(S<}?1Vi**m(?=5 zB}(*eqIbXOWwV~lapo_0-ab#>+@I?^$92p(=bSUwT=$*Xt=hM2-RT=Pf{iNIyU(y* zL(A3WGPK8_?!iNQ_i?;Qj{(E_r14?>dJOK9cKuVeTD7WIDqo3@ z;s3XP*%)J{@aub?X`f<%xQfrbYixqMHeX-4YxX$ezWY?4{=I~2zlb|%FHP0v=!06`cNJ1@{hu|oxg5P?flDMcisJJ zc5m|kCm*%9PrpB=BieQEd1%)ge?Yq&N$n!~1^U;QGGTo7a?bP4pZ!Gbw$qJd=Widb zMZ2!IrRdiGuBK;{J{4{>L&ReiQx6P1mm8&${N?`Qr5ZUp;x^ zxXJ2AKIh9GaqV_zD)K8=&A#p0#m;?bXA_T)aM#S2?q{Os3tSh>483^$`)+r?8J+SR z_r;$(kM_H*NtgAHtFE2LmxJC^oQF@{D)T$1(@zfm|GRXF0RY zcAt7$Ioxks%}51LdA}pU-S=ZeWp^#EjiLMfHQIHyqeq~7p1HjH)a^3hesOkp29b6x zbCg0InJ*(>HAuTQai?*=_B9zq+BNg)iM;UJ$8NcH8RkX(*KL#$?K}W^V)6H^YiHRH z(*217?Y5pj)#H%qS6sVp_voREgWrCJb~!h7Q$pIcJl^st+8Z22{i|C=zZGfR?EA6> zad)Vh0{^dNQI|S*y<3ip+1F#;{iaABaPE^4g zirWdU*9;xv+Re)o(Ce%fFS~2|Z1HsGuW}p&mkl~m{Tx0u({WjQF1Tu%lH~Nvt7(Me zqE7|HX(~)d9%R_982J2D5uAA)qx>}d5be0WTAuVLZ-SfPW0M`{`Ko~H>`)Mn-TyrodNzf)@S6$F+7=(~^z3$C z=*4JX%nL7_NrS(?jq$RxovAKs)R_$YJWnrhJNgPZuU4`zaRF|w=7T>EtRx)Q z0a?N2iU`E18-|bbOylh7aKs}!cgH%j727p-TyLmBK1*WZqXIgGIj-t7Lf-VsuJGYo z|F;bKpagIkUYYXnB5a!Da_TequrJA|e_i5gctRRy9Uh@y)6En0!$-!)I<5}A2j`2a zuGlvnP;cVNYKn7PEY;_557e_Rs)&ncREN2uCc>vItqT>!sNSY5o(f((p8B0xit24p zuFNe>gWaPnST!(ov zi6g4RC&>$XR;w884{w6TIIbUc2j}Aoz+Vi!KO6dt?ZM@)gOs=3Pp}?EiWkjeft=9m zYWF>z-gZ3=z1gvi_LG9|sQy<6La!S=p*pX7Akyj8+9KfAw;JM98^0UrxCt78_;uOt zcy5YbckrCBW4gd!wJQs~ct05V)a~hfAi5tW?oq2b{1@edUSA$Yd0y&W#c?)pJN()4 z7Bnx*Ua$9b{LwV%Sxh&|^Quj=oSqNgL;WrpOXGd>hWHj=aMO7Ze6$$mFv@H)bFa{l;<4YBf$F(0yl#i zgUd-P0vzYh)7Niy56W}b$_pKrU)PaOTwc--t)?7T(dWQ*K3c!5@^^@n4gUhpv%bW* zv<=5|LG67@{q9|j=K_Cl4e_v^pTO0mLd2(5!#vvVpTWh~J?Pig4aRdvo+PdUX}o$# z2GZZBe$}i>(5vj1Ct|!wD=D7FbUqaMTa0yFzgj}^%FkH+EDN1O{brd)KAXRp z0DU>Cf1C3#xa_eWd63I!-{5GPg-56xqpV9bjS zJqo?9q=}F7gx>7S0WQsS>`Q9X6Fjf&tv#rJnaKnDoAEm{1o<4-3VO9GJA6dnl2~8j z^f`=|-RXt(BHKod@^pFj$wTYN_+50@yh**D&d0p;0k^$_E`e{@i}fWRrPrsoKt1T- z90Q%6&uB>F-Av~t^SnLn1LuDr9={9yvd0GXz+=;&YkyWh@BG!uUogMAK|AXAQ8hdV zO~An3u3f~RM*OmIUgUvw_nL_NO4WeB&AJuOS<@@Dv*WhySDIhnj^OOh=fThi^rm>u zt%1L8R}uA~R*fT{nrG;FF~8lygft(sawg^N>>Tu~U!I9^KJxK@#EXvu=WC0Na9n>! zc{BM|lm0tZ&2g6aH^#-z^#m8McXV<7HYNl5m01|+-xccRxOr9!T$fsgIA!EDvGDw9(FA z%aX{0-nkm_%bp&iosT&lLi!bbDgL?_vF=p=5Q_iIHhTXHO4)>dNB&IxJ|9B!-f~Q! z1~cKG%wq#bHAUiB}T+H!@-X6|F^%in5&T+MV0OB;iZGu0$6+F~&`QN|9{~7{+ zRX<@~g453{OFXbC<>AufF^-$m$?%sgIw8+?`0Lru$IOdDJSy}G<)K)IHjXQ^1KegN z&i?Sq?|j(y{_vMu|3v(%(Ob+H%X|#}s&+l(*)-1#f4S}o^!8;&wCm7yW1T;nP@H@w zAHcXo=4G+qZ_}Ue^{0T_XI={s&z1D&RH-@G2SnLkv=4k~e&4mrm0u`7n_rG{*QS)E zJeM~Zm&*33wBsT%3;NY37gC-JU-Sc?UkY5@od7OhC--$+1uj6`#@CDVo2O27+`jul z`H9F0E{0dF?YNwL3S1|?qVq$s`Rx+YIG+#)&Z@ox*V%vT=(z1a2wc7`4j;}N*LU2E z@dZ}}+YtXSxP$Xo6UtIN4UWKvCyrn3IQx&@N0`??&>QU;;JEfGMEUV4n?5fGu-5$cNXYdhP;BRuK*5FYMFK2@{CIL`9Zb4p!1k9bU{B%Djt zZF;_ls`vua=VNxaKpsTMG5DKz&D%Q88-lTJcRg`A>jH-eQDA)0)bFCK z;A+|(s*};AS3|zgdiiG^&JXPAbm})e7v@W!VBMXMot#2EA{lXtC;b*XE)MP_9z2BN z&ovhNqzQURymABLQIqFG-#H9iUAlt(pSAvgIv0^mQ9rC$81=huAmW!k0$lqS24|k9 zhdCda?Gb$Bs&b^idkOob$w<#@&KqEURnt4YJ=65MdHTF$--LC?ZY-mDtm_RQ@#!e^ zdfx91onDpD$eUuvp_gG<(XV~^0o*nYq`Ezv0d>Oo7;ruCE;x^U{fqNqiPz!J-$zoM zNx2cHSlb!gT&hpck?3fwYrXR&m8!yPd_j5 zIOIWP_0*25>6M`uL*}DC)$^o5j+@)`-YOdO0hf70Mmny`O`$jg29SP^9_2WH+7w*8 zrr#G>P-fH>%TgGe`z1qf3Vrc&dg=Fp@=*8*)*X+SH{R3v7ia;_7VgD(%_1J}xJ<1K zA9m*e)%iC=hB?kl27#Nrcfi%d<9?2_-*in8G!uT{3&=& zu~UoSW1mUr^`5KxR8+sF5U2F`lJ!v0cS7^UwnM#oV%BqW9Ji78E z=yj7n!PV^(c;B(@X#KK(+7O>zY$@~;oe6?pbJM&J z#q(?l54f&B4eOLIr0fzuvZfKCp4?j{G`Bz_k!9|Pm{T*jj zJ+S{6|7Xa*2n=56{LRE#4_v#*P2UUI!m&8F@JaQd=NW!M{IaGe;cJt0?w9}if~-i8BOtownxA0!nd)Gvt3`{ude6BJ|_1s918uICgiUdz(+00J`?^2 zvpjU4vKpPoM1k+ux@&WP3-z1h2K2VA=K{yo=MV5Vr;B4h(KR2mNl4@NxTJn}XTd(E z)_dT&qx<`le(WZ2@#9A9W46j-aM8acIQQO%?_t>d!{D-ed-CyXH`@905>ez6u^QZZ zb&YadeO^iW3+utnx_YQXUHp5*Z<2ndeK@u7V8lO~zW+DlULt-Q+H9Hg(O=SkFZi_` zxY^oex#QMLkx$3iOYVM_Gd0qE+7Oy|-e)7~RxkfN0Q&mN5sw`=pZu5B!9HNUG&rB* z4X!RU!#ZU_)8VgnUdH}lGp@n>%G65Gs~YtCj*9QD;h&n3;`!rO#G^g0^>G#!~Cx^^;`KjtY34d+RTJB zf4QB0C+BN-z+cSvM%~I8m!TIewu195k9s(NIj$$-VbK>aqQ649!`&zMSV8?p+@yZn zrJ}A>*;VPh55~(EtQqI}Wxs9!x3g}-N4*~~-f`|vb!haHB&O-f zr1AO*)Q{Xg3;rs67`V=HaFX-qGj|fdI02l6*2j8bM?+{_ZRq`7mi3_X&+EJ3Cd)4J zk9vuHST4H&E~{TB{_PxJ=P$RN1s9oV-HBH-x*^VO{lV3gv&gea**qWdT=!(6+f&7q1|hdL6D0rgP(lheMoRP96@uUV0Df zT0R~!5&rdq!Oh(%;4Eex=3Pz<0GFTZfSaxvpw}h3kx%&y;JkUpNav%Ys7^%p^N5pO zJ2u#HUTh2bue%4XPUOdXhuv@hoNu7>zigWc=U$OD5u7cfe$}nj$OAKvz|~BJ^}==x z0yoD>U>&J;Vb}*)=Y88f)A}`4_CPPbIYRv&N@?ukQP=7JF7*48;5>YEd&gx|E7C_z zqxIEy71oy>IuBfa*92T_e}eiK3)_M7vwgsIo2#V1Om!vBzs3G0v;Tzi4~x!8^_EF;(sRxBh(bNExWUM$m?)rUSK6OB{1(*E?W4)O1U9f(|mfYZc z>PD;!y=O^hH!hw`dDFL+V!rI9?;AQlTjN*6&kmHN^|fy=o-eE(al5lO{Q1j{6P%A; zOZ&X|FA?jSO=*bps=Swe-soNr&r|+ezDbC8?H-D!3jJ=*cMYHCIB(N~@?4(2-!OT@ zMmR1H2h+GVdS7aWyd%+|I56&KhwxvK^`x#82TQx@2Mjt zkOx+}8_p*(iT)peN7H)>zv8>p`RK6m@K-l|;A6)Z#yV0jzQ?+d7gv!_k2c$!KM!vS zy;$`M@u)H7{hW_DxSry#I|KRT$r*#d_xn+t1(w5ySG|F}nfCPmTjoMW=(V^u$LVFM zlC&P*ev5S>^SwsD;wbGK@_*^Sk9T=92JtlONb%>}O?haLFV6Xxg9p&Becc;%YsQ5v zb$WT9ID4D}`y2aob0v7r^5|Dj41$k3;j!Lvo%))5UZn5;sm)h7E^b?Jb9z42|L%J5 zF}bsY>lGa=bjv?Sz^BTO6z4#RaoLQ0=Ov{1s21D7`3HKh(Q!rlIW8C6f{zNjkG#no z0UAC-GZD{2-=7%IMEEnm>+oSem&Uy43f`ljf0qodm!@F9lAm{$c3dU@2OoQA9rAC- z`yxMl@m~~A$R)(j`*}w?JrD7Qo@HwZF7KTC({VYI&cp2LJLFU4iAJ2_(kANnWCdE+ zJ5Gc;J@cb=XZCV%yD(}b;)x7`-Zm`;E(=?l-zGF)%IhieY*(&cfOvk6gkG-rlj>^x zwc(Civk~0*OK@{GY$){l2DobYJLR+V1L#%NY#5i0ZbSS`wy{ocY&mdqA{bni$Qh#5(n;Ga|qoKLz7JwLU1qT{mm-_);1B|LX@o-7dwXv*ZczXPufN&pNmY@^4zw`;jU01ze_l!1}V~sb4d9In7u6 zk&YA({okRC{T}Or&k5V$I6p_{3hQ$Z@w4W?hda*7q`&v^xmVq_i7$aT?O8ex^Q8Ik zS0$R!x}N?Mt=}K7U|iB;={op#nMmW(4^f9~X6`WwX?}J$ov&E0?1+cG`A0dfv(bBs zY2J+1?~w)L9cL?6!$&-y53cTYfnI4EuMNsWb(k+#0DO8JqJHOWK))(Wl}_mQkMrQB zcN{psDzT68NDHoODsb6$e_Qx`L(fNX{xjyqwCdg1Gc6p`*3i87Dv5Qi1D7EWqE1!# zi1}|&&wRw_Naw?RYJ&4Z$B<`T;KwfTSwQD86Z8+&TSblMg$UXKJxf@Kcuecnt(=d@ zdx7d<`%Ec)F}^=~6$sZRU``=Q^j1)*1Atuepyuby+A z-UI}Ko4gA9q4;?K>d@qyP5w(VV%|-`%zfb>?1^~fI3JqF-#oD|@$EOEw;vetBS)R@ z0RJcXpf|NMQa#6cVLkGpKE#s`p?+-QhMtJ?eI9UqU_SXo#=LR=2Phv#fUD8F!A0LQ z3i|%^e!)+4LY(?XpB{+w!eqoF_9kLnrr#EvPi&?^@UdssAb#t+jNa4#r1ObQ4Whd8 zZj5!Ut8{~292iG+l4bt{*RR^~nS8z;Mm#3}RqeQ)76&eS4u+n!?-T=l?xI*Pd|hR# ztGD^^J%C+9`7|&3fU}P;={+bbJqNA#E6kTY9UkSz#Xr$GpIzFDyqV4K{&d`yrSm77 zK<^9uSDzSg(TnEsWBYV{_a)#@I}q>E81-YyZOrJI=3|P}x-(DjVc)ZAZ@-2O@XhTngIlT?1 z@2SKObe_?3Uk`Cy_|bVxbv_LrGdx3(<9tf`I^9UWBeP0Ly&cyJ@?##^gzpijiCwZC zy!ssUs~EkH+rii9oE+Q)oWCnW>+8RQSa*CEy{Fq(ConI%-(}2;J}AiNSuv{rxB+nq zF3x(Lz;(?#&`aOYMUL~pNu=LhmGt)xO>$iR_bcf$5oZM&!(Xkc0WRCNhF%Y7hx3Uj zL+>>@@h8e>R3pk;QQF6J+wR0it;c?%-c^7Pn?%2d+ANWST)+C~UunJqC(-;SCr5xO(9~1>Cj$|G)p|GNALP;{8*#IFRh>K&==#3H!V!o!iVPI#33-SI6SmpZOIKB8ZqX*t#r z4-fWroVN}DH`^be&Sfs2$&TAe_b+&+eX^f^MgJ_e(0s?mf`Q;_VhZlFfB!}6tIJVv z)1CgG)^_!83IBIFNbmQa_L+65k&dfX^Uphfm0Ab>a^=R^j@!-kz|EU8@RvpIEP#IC z2GUQa@#<)gstn5S%$%7!i3OhCUApzk!ou0O$^-pJ4hX62 z&MP+!Xk57luN?4ONN9*(@UOpx4D`3Wt>4g*{uzAaV87x18K0}vZP>70jjA>H1pdGM zmzy!Bmpr@Uk?}OUT3)tKc4X+SB>O!0?YaFdBGp|y*MGfepZZdOW7~D{%=YwWXy+|m z(`>tm8i;oB^*?-{mF#s7-|y{4?a9<`Trtoo}ux(C115V<~r}XZRZ;^{bN6)fBDkw8rpkiziQh>9JLG2e;-<|pLoN^ zIo&uJ?Q6dxKW5038@AmkwHNKoSItJd4}D*@@Bb9-YqHXOY~A-K+Rr?GVz~^DOSMnk zw+(dcMcFI1UEXRy`7bsfPu-QhwK}n+@p0SEtG9CS*>Cv;JX=)3IMl;QFKxTncLU#3 z$qirFcD^X)oqg(YwNBY~Q$OrFxPR<<`&4N`7>D>S?X_*^S2y7MvX=)vYbktRp6Gtg zw(H1Ul=rcPu&!jlc;wGH+ZEr}LlP+Nw5VtB@Aw(Q#a%LeAm{0EoUi*-q@#z-mu+%UtXCRiO*3(kq4eX8SUyr%nr-B|IqpN=@hPn z@AE=azS_?^@2s6k8BcYjeogz?ya>nlSwIZhWxH-iEoVncRmF46w+DE}CuS8HSRWgN zb;QF4zG$BDnXfsD@2h$H&@SKQpm8m6ziHcLd{gwV!kcCj8J|tvKWUxa9e2yNtCG9% zee>BJ?d(xrtRwTfbh>S4r61f!oa^qRT{QiEQ&I+YiugUY?M|DcmH&`Qg7C*u0xN{rK-?m6Fb=@^WQ zf5@6{_58PhKP-2K=Y)@P?FS#8{mm-))c*v%%sCT!^LhjP#nLoz#v?9SAK7;2JgZlu z+EE=?xE0*F@O6Z3H%pVD*KIl0iLTi$%Id{|1K?&)my1@XMpm0+xtTMU{KFod!}s5G zoM1WYQ5A8ro3oJzm8}lOrCV2{Ja``mcTQ~n-Rk-KD&Vq#LwTDXHPdpjycUgjMLF6p zMb<=GuG8z0e{+AT2SZjs@6>8U{MBA?JuDCEgURC#&LDw7^rirD6`KB&sVPno<2-q8eBqr%iq0`QKx{Sd~1XmWy|VDW0#_!1=Hl zZNT5phn_Ew$2{_@IflbOG6kHyTmmjvuNrK*&h{&~yp{sa5<2-?&ayTIcNXM^zqlwG zSZ-tv@~JzC&Vd<2CwXLWr%pKH5$*kGpKUl=$LfW59n!a(O+LvtMq9m163Cml=?fq8 z>*bY}i)sgmXRA*BkB3EB&XY6qS@IUvzgQSC&ib46_bCrm1=f!^`;OMzzIWj4)lG1H zxGb%=59>&OX%XquK7p%7lfl*gSKzG4vPk$JIZpgec3N+)k=Pe%bUe72Rt?$v|GSiSSEJLy{(sy}|8PzQL`7MK_HcYf%d<*Xz0 zc}_ylf7%RxQT!&>zX=W?{j+Pd&KsY>c=>{&G{5yKBToJx68lJX3PJqlL!S#C8F7fw zLl@#1>;r#gNEXmGV+GPvwgXN=|g?Qn25y*uf@ zOdD#scuo6G7A_5c<>$T>`hJ_q|L>B}Yu}%d2VL$QxcMOmxT?z#r!)LB>3h?D7u~vJ z9r8xX&~Z}t3Hzc2nS~c8qBi&^3!zwvJ*$(&!>Ci+~JkT-)RyI&UT-M zzbNsA{7=>gm#Y>;S|8P!>XOLi2`*CFD9ar`4L#ctK>qipOtG9@jsbU;#DJ@wZKi?y z%mx>sr@%ALLFo017T_vpBbwi|LeTT2ooQYDTZ85+?)p}b40{uoc|WN=l=6JM3eG$3 z6%8Nh<|L~HJzwm|Ge;VeEn!%wx(db zYO*i(i+Qdmdf0ee^TEfg^}K-3<-Yc^K73UtaJB4L>=!e8HP)5-j@G9r-5%>fc_xoQ zzkyW$GbR*ze!Di#7nbZw6wewojuNUK-VA5gzrs$;*)VcSv9<)?1oJYP+mgU;GF z0}kH#E(q`H^)YVq2K+TXj_q?bV+f2LW&N@pPZ*)1zPuT;jp;vSd zbRxf^4mf@-;w)EZdP47{6+k?y#657Q^H9WN;Z#M>i^c{Sd|3YxRs8S!x<;t?);_Y~Fk-!5jchX}hZ&RCrI|mNWvRt(LK>j;( zfU^mO+Cu;87&yQ40QUz`tV!3T3_Z)Wgm|N;#7}JXvRt_Yfr~Ch$$#aBYL<(tUBS)C z4&Y*;?rr^f@A8PpJUj{?zJB^T%grnaz3y>@^i6vWvRvgZg8Z0j6=_~}Jg58Bhd|21 zulvDeNGrNe`bSb8PPC$Z_jT|B8;|LG23)`NhF;xmI}dyZ-Frpw3B;okcEZQ;-ACh1 zX@YstcdpN|@i18cKC1pGa9(KtRPZ(z!R4;=G>1v%g-U7yT`H4MdEA3$r^W}JZwD%f9GRX< zI!{HOb(Lt0*GvvxZT+3Lr{T|r39NrTbvHnuzu8swpc$hZZxf*xOmFjS`Vr}J4%A9 zDG?Z#@OS_p6;%~nY(I@UDRyL~eoMB+{F+k_QGa+S)gQ-gEA}1t-HCgk_^T!KLZr}o zm_N53#`|am^2Qb%qkWp)hy3H-Q$F_(rFCoejJA4qX#%(@d5?IDidEoq`U=IxJ3FMRac?kz^gRg z_Yz#MsxvIf_FFj^@yNr?Fpui{vh?!@7kd8^m2x9*n(g|->eWlSm-5~%z)hlBXu1A< z4SYoD#mIy6dovCF(ahf~G@4E8e`%>8%lVUYlxN2WoLAe2bt3ab5T7H#MWyOvt)8W} z0_WQ@eS+_XpkH2u_|?nM%Q;)T(C?$yRF@vy#s1=f2~#|5zn|KHEBAvKuZVrL%5u%B z!$-D0fORg{^cV?!<-y?M`)lATbypAYFLds!ss~Abr=Cd4@DY>VkiO7Fa2|QAwdL&H zkI0Yu))1U+dfL=-Ai`$xnkcr z{);L9M|#t^CVd}kePk(mzgGFO(fWTWFfU?AI`vyV^ZZI4vCQiE&3)t(LhrwPNh5F_ zNbg^K_hOp&ibbQXUisdIULU5PXPU~DS0Mh${}PW4f?nk+NbwA&_ZNLG1oNV6EXMiE z!~94;D3<2S-KPWm=TMyy_qT(~Qf^c?dNoI$^|4^`nV*dNo__xWxN`3VZr--W{X}?| zMEw!V?@<2Z%PzJ4&eq!ZJnT5U4r2YVYj2|LXLhX#^wOm+;&(#ZQa#*p40`>r@CB>m zUN3R45Q*{7n|qTeo~tjy;M3? zY&IAAXm%gZg@?(1LBIz4Sq$C)Js)(5^b=k$v7A4CMdKY-lIls8G|!|A?tJp4e&4xJ z9SiP*^{F4_XRTTA>vni#Y*cVt`O&bo;0qA z_Ny#c#m2x#@;R7CC-nAo>!T7g=RNm&tXuIRJkaXp(d889!iD6&#ufKfF(VF~y=e}v zo4rCk7YPyYH@PpQTVJuFEasO5)9+JwANu`{^VmaMfBxnxe4MfMC>}Glzva$HTAwPQ z6}T>(j`haoM8n@{U+BE`S933D`(z);U&+Vh^D1bX^Gx*iZ9*DNA3=#mqj4N8~z-{cikPPqdsTY3Q8+SJ1C~dI9%6 z_BU~r(wFixz2^9&486Lzmi+IWr@AqCjIvyQJ^(J%opaWgJ*KgAgkBx1kA7w1RlFxUXSag$VQbN^Q|;Rd>#v{FK5~WyVZ6+1 z_FU^D56*$Vj0p!fp}rWG7CWflVKc#bP$Kq=I5+~_@hnAkazIJke@ta3Q-270{b#NK z+pmm12hJPc0hcjJy=}kZuN30lw-Nu4(8KE4iU9I2oI-hiG7sm7=&%Ufh|SQm+DmXB zbCScsWzZhtPtz5~HM={wxO)QJNsYw5R+q+t^Ie(0x4z&3ADK0CeI`G~zSbxEL|Pxc zIGFs?=7Fn_5UM8|{K1(kz3=d{3GioC`w>6u0=;u89_wGtr}IKpx`KFkwtx`pZ`vn7 z@0@;2@xMBX^Uf*x7x|nnNbw}yA7k}w+evU0ME!~ayAi+WcNg4zH60y#ZGS{z3&UuH$FJDfz_J_R9E>KL2=&R(%&P4 zt6OWJmw!y5{obrD@@aZD!8$i*yQNy4nd^uBBKvUKN0$PzU--)|xF@sN+~7{$b=Vg& z^&Z~KMCv{Gi^gkczP_wIi{IZ5X#mcAiqZbs@`~oYVkQsh3x8+HH-+)mbt8S~-`Ll( z!cVwwvu1VBuUyd(=Quy$J;TP!n(ZL|Es=PIT(Oqxdwt-;A9n;d=b}biF4ql)UR7zH zhVLhT#67`TM|oB`x+0&>&U8Ab22O#GsTF{{vDtO7kDNPC$Y;3=^x}OJ)CW;D7Tk1c z051L4&9(igarAdYrr<2nFL#}aIETK4zw^^vaMPe#nB^w#MvDK$KyV&Db1-~jLnt2C zTEyF3Zf3c2-vwOcjl+2LyT9oi&+-=Wup<4j9(eHJW$@3edn~FH@?dH-Spfembncid z&9UD2qHZgaY~G&Hd7-Oxf{(NQhf$X6sBE+^+OC6-s4{-L_0fykBOcl9A>vWvx_5;> zWgT&sDCASM48*zYZ0JgPTfYoGGISo*;dRunZ14^J>ie$E^N^@>6g-e9W0NyqB>*_n}`AIT-6!zI(ge>K(P8;z=uf(|%U9 zW~{MKKDiwF6{CYF4@qK^=oW=$ubt}(R!SMGoh)3lG6YcI#@ z%)vm!sr#2loTgPjj7t|CvnVN}T`Z&eChKfNzar1{0Pw>X;jcn&(R$8*SX)2g&A|EU z|7c$B7o+ty`2zge;WEgN%zI#h)w8EJso$heh~G(?-^lv2nD_7z6EpBrbn_(#*ZHPISbz4K z>Vv6C_X<9zGu}guXKB*=UWcBkJXFWJQ9kvv8aQ`M#IKW+GHgUe$^*Z09r@SWHsZda z+S580$4fxZ+Bd^FB0ML<-zn7zdFDy8Vr@J;us!vA=s$2B)*N+-H`qh@`LG)E#s2En z7WrxTFZ8MootsW@{mmFxje*efd=x*go;2QabBXTf>QFT5lJhW%&NW7PGm%T-?~F)A zy;ULlG8)#w#;9&PUiy(yYG-lIj42l+G&^@puWg1_3alh*&3V$%As&1b-Qd_1`P zqhUY9^WZvhw;2>?HkaPulky^O?94Zsms>p=c~~F07u<~I*w;MwCgfi)s}3LM;$y6H zk-nMYe_tD1l*)X+4u6DmTxRto{rN*!KYU8@aO-a(62VQ#D#WAqEbn3CVL48rU;bGm z9+BfK_J!_~8+tbX6nxCV=agrg_e`nj zUSwWAz|S|#_<7KaCfPCXW?TEA*57Pzig?sRFPcZ!+So^I@n!0F#5b%5vu0;ctLMuK zLNE5^z793{MG?nFQLDm;n&0f%b9OJ;w@w8T!?z%YJJ4fao{Y^9&i(~75&N& zbj~{Qy%8rrBnCmhgw~-Pd7SEPqmGytRv`#JyzpkkFSbp`dX^m;fSdSW+Fx5fPD7ld zdV{M{(=adW5JMeiUtfbe4*gxOo|&SpUS?ek&K`t7@6^bSbCAt-#kr&3)TVjVU)IC_ zgFE@W8AN=-fFR4+qRex!$wSPSj&`OcWng}R?&rEi0`jcapIdA>dpIBY*N^Fa!7*<0 zELSd)`0H-atI}@EE!Q)D24@4CV*QAhKeqRoDv$HUDL)E&ar!Ux%LWE5w0iZX81mx;evk1w z+v8AAM4o=o%dQ&xOP0uq`O+tA5N~uFoOka%4e_+4IK`t6;HqTYSj%NKx<8B4bf3`= z{u*hyC`wmt9-xz1CY_Qj}!k>IVUp3AoM_a~-wOZdxIb>PFgcY$74_M`hr=6z2UE{{Ao zz9Yxlaf#Pd$Jl5eaGAc)7d&4j@~KI`4`o#!qYkT|>S12^jVV-@hBcdI^?DZVcUJai zT5n-@z%!cu|KIf_7uBUI*CW6?jsQ1(W+HwWlaBM92TlZ+gTpA^ukLfL-ZV=}wf^!+D%F#e2xYlA r;swqo`cpoiWStHFPc6ZfOF{H2dc~vesfO*q^}!!7Ue)F1jHLeoglEh% literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/23.npy b/MP_Data/pose1/14/23.npy new file mode 100644 index 0000000000000000000000000000000000000000..e8a399f5f10af25b103bf6680f3bd28b72eac6bf GIT binary patch literal 13424 zcmeI3=U-OG7wt#U*gIA%$HW?2H1@{m&yEFa?2ZbEN>H%(5iGGG2#R7GORQ02!IGFT z8Z~M(iY<00_9T|XU?VYJ_S*af_wBvDIiKe{>#W(cXV08D&x7%udv*%!lSPadQz{1q zj~NjtV}djIn9#wagEKx?sa?N*o$6Jq zd(*uC+kd%*5VrKQd;S?$7vKIWUFEo^zoukd#dq(Y(`P+F-$(nx_m}Cae!thl2iwQhiRIf2`Ce!gEtS4IEA)Fmp)x2auh<#y5i4f)YImzL z{ii(o4fmbw2_N;c<1uPC>)s(h^4a*?)UJL`M!RUWXce`412gZhG~_9@%OY8MK1#jV zPwjTt<0r(u#|ti?y>&C_#2;_3Q@hF20($jm4qyNGK8{hr-Ve3d8;8+iked{4?zt{69~BNmq5C`x&}l zAAZbve{q}VeRhA0M_zi2_|38{xL>~C`55=-`VQmQs{{7X{i@sXImB(b5f0ZXDQFiR z8||gf;_|CFx_YZC;C{Jg!aID{q5D!Yxav~927R_CBXGYtv;gfkPyOS>Rj%$;ab1)C zh^{hZYgUKneERKAO`$f0CS!KpYv-}mtWovbE)Gja7L;q&$r#@&8 zxx#gJx$<4K|Gpjf%Ol+GEqsghq)*3Qr*^mF{zJrB#NmEzVURw9+i*lb=0ft;9IV(BW_+Ww|=X5 zoR#zv;-Zp8Tx!j~SZ6Y5(n{jq{tw{eru2Z1{vq!M@C`f;S!Cul{|udsI}Cppb_G5* zPX9vO)!P?GdNZ*#=WWz(aJ%kpB--^c-d|poL7k|HH5QOwB^_oyD&R8dyn$I_z!PG@ zUCe`2;x@VSRN}g4RUU8ldB}rqIs)VJM+muF|)`<@q=Bh?}D| zSwFly){9vD?_A;{y$<^?4+i(@`~$u1(17(hz6G}>!WY87P-AeNS{QY&3OVTIt4847 zmKES`eff!`SHT6?r)yixiz;8<5ZC2zV7zj3H*o!UOd{fW+=$ob=*7s7OT23QGxT!t zBjnlZQUvqp1y^f8dY8TjTuiFX^ILLoE8;fKbk=wFXZ`L7Nj{=@ZE)S-E#^xF<{AgS zr7+J+)?47(eb|Ax92v(x2fpNa3|Jpd{$7!vz}2-Ra2?xq7;)EW0PBB03+`&KA4*(Q zXbkRd<$=H1{GbSNTQnQ%f1HUp#oR{PpY%t^A|Bf!*wJV6_^*bfm;Gu&FIL9DM~rzg ziQ2uNnj>#c1oL>E?|R}g-#6fLWKD3lzraHHea-n)8y)IjzUw%J{6&q2-0!}oyzW+1 zjwf!qyaHGM-r{;&J!>(z*bJ`gEaiGzUJ-Su{+R(TzI*}ht+_gv^eWd$aGO6n*VVh5 zye<}O09RK(<~r=+qM;w!99+-zL0x%A7bx(kUs-?K2lZp(f51Am=P!V})RDZd3p`j) zdN2D;z3N&V_p^D zapjIeo=xS@K;o+BF0PXbgPAXn-cJ7F%efrCZ(roWiF=q|7qcH+6`I8PA6Pezd}M_l z?B9DjeB9<9{fT>3!&rYc2wXobG7|c$PkCOdo%Q|Ks}w>Fu=?a2wwN-0rA^x)LS$oMxJ=#Cb(My@vXcA-mD9i^v7Nw|BxcfAVP& z3m@g<_i>sK6qfp}z9e$Lt^AMx{|^8ERTCp;Z` z)$};`TWcGhJMJ!XcOV>GbuI(FyU+c)taZV~lsj|DN9@=HAKj}9>%+%j9_6~V;G%vg zxc(wJiuC$X0=P^}1h)^S%pz_A7J$37bL=y{IrOHbWS{$dKJl8>hu-b!z;(5@0rKhn zP~dC-3?Ex0|9!gZYr){Qat}Q3RO~|b_x%k1(r+o&yGn`%*Cjbl*(8kT@!e0{@2*4a z^L%6+#VHaZSs#9od4aUq#MMtnz-?3#$5VeU>(g_x&(L{%&Ka6Cj`ZG&{iuJluQc{I z@#aPZ{I9iV|2etfqsmReyy#6oVZ36)K&%&?mihe3otM|+*PSl;Q+(Nb^*}sf9l-V7 zfmnC?&kCq3@4Il0vq?wPgKk+glJxQ~-v7leUf1eM8tUIP^o8D>+lGGaqM>t1?-k?c zns`_l>)i~Wj{RKR=*<28#?L`f|A!F76?GEvoBh7LKR;VAhq%jK6aM1JRy=3*q8LS7 zFM12T_r5#0tN3Lk_|ZYotKA0ASylfK>O|$60`B>o;OEht@kuEeK4Qjv__&B9^lS57 z#<}0!VSnMr=T9Bfdp!B8W}G)SY%}zx!u-0#<-hwdF8Q0{c|1|6ANkApci^sj=DGL8 zvBAW>Ty+qSj9Q5}y*JIn z{EU7*mAHD$>s^UXTyO1)8}yslk^8NAkmIZqgy)_3z8vRsXLruqlm0u%$JOq`d28JO z+_bAUntb%3mf-F~-mhHIa?^;*WIv2oUE6?o%R0XT&vo_9S=6n0oo^|8 zuJz`5nbpkU{+_{xu4?-L?srvHX&sV|cWl!kM{GuGsl0mD% z&y3)BVv^x+{05H%pT+yCS`rF>7yo`)3iVs`L+HJ*R>*^xopm~Kvnv|@c4U9#S-)+V zKt865Mm%=i1)kpp-e>S1z6)IZkqYi+{#Xb4=^T$8z8U+Nx2z@h6XP9)zX)v2d48~b z3F+0#%ZNv>$cuK>W&9-KLYLxk9Y4wA+R>NS#jYb9&!u>9wb^Gm>2*8a=e@dfc^_DQ zcTP$M_wshYerw`=;O||yigjczUT2@UZxFwzu(bu^iSj|eW<>(H%(iI&ao4*Hxchx7 zxP2XtJgb}WJg#3PxSls{0qJGc*YNk&=Vbk!76HWdnG@h9+aFipdmw9vlnidqC4%ed zKf$Hn@j&9PVIcIv z9fRJ4R2)v+rTQX2s&hG>m$s$wTu{-&F0w9`QzZ*p_Yqx<7d4B}aspY@HWg6j%N(ZogTOUzqd z<#~VcWFYk`&j|R){)X2}SdC4jmy1h6uk*CTc;&jYLy4Oji@@cqW2kcxo`yKxIj$2~ z^$f=|D9cdt7stm!?;igRF4jDp1^;M`Jlj#rFkZ80`3B-#dl$I*`weqE};&SIF;I^AD=EW}ms~3E( z^Z814uYq{vkpT2-J5=Dh{k|yk0=4kmaj&=z#g^ynKXyLO54HlIqr7{*Tqku445NN^ z&!-$u(gnn6&(vFuc>3%H7a|B;b^8?ir1QNC?)_2=T>kheo)_}S7;x459QJ=N_8IEO ztZ0LE+p{b#N0u6Z@omE!cm20OnUz8PJdN zqqmg?myLH~-RZNtC&9m73+7cWKyMnR*C#GMTaCQA11F)kd2^11e(6ijXL=Z~(|{d_ zQzbClYvjIOxhOe7XdUfC|d}OQBh{x8* zJHtPN%eUpASGlXfM+Sct3Eu2y=^+L(|EVeGvwuofJ?aN=%7=6mbX z-r!zhhkOH@I1m;&~Z3(WgE(BNS|A|06g^Pfzd)HVWv#B%Uv48QtwBZrf zmrIh-{uKYt*5I=1ag0~?{crhe7}a? zE1bgXrQCAVoBHzwxE((oTzniMQ!;$?*A_4_A^!A+})~UIF2;4jK59YCe{`@t#sePZOydUm94ZS>4t@pwl%@OdD75`6UhVbHrb$HtLfhu#2pVec;E z^NG06aZTF@Zrl07N0``Q#MQujJl?N-z}@VolZXqyPry|v{+`VpJ`x2!YXZ3K8Hj$x zh@DG_yI$!W&o_m!kGVak(68v<0(#Lqf&Etn^83+6pNDjxDSQmvjGMNVKFfF8+5g)s z9OwUXC86JvX&nFYVyIhvEE4BH5jcqZZI+Gq!-xdbzgM*{xL0W>xUQMX@8d65GOt<= zT%_*7xk5%9W&g-ttUo<^dP+t->TWc+4BEnc#I!l!$(&F1Gy8khlO}gr zoRs-~eY%?=AN}}0_-Iv&RW~^{JXmaIbWEtULGnV)*Njf*1WMj^H#ySLw^Y z%h)NuL2n8UoJBq^d_4SB#ZH)ao2w9>gZiV&@KJ3Okbk*p%Q*Pm&&&05kI&&Eu=H-? z`rm2r5s@!A4-IQ#yz-OY;MS)e)~_s{xETHR;@`>D_QUWu6S|EeAMdwItgmngTz%NF z5Blvf0P(o>XL!B)$4)1%K3fO97k!EIoU<(IN>yR5!~0^qc9QQ@>ep1;481Or%0AhL zYVbV#ySA5pI~D!4xjmMyy2&{7Ynt3eK4tkkSa&L52Yh5u8_x5Xz(M5Wf|haqLu;d7 zy)iA0e7w*-;9i9<(XVvHFfXbv`B0A?2QC^s#ky84j?N_?Szr{n>b?YASGdmeUWwxrTm8Y^ z#zN4G#RH&sMRPJApJg`2JDHysF8(UVd9}b8;;Q~G?sw$x;HK-?3DB3}IuTn7!bjBD zGMTtO`xEPraKEbEWaPoEeZc+Jn1OSwXq_M9vTaIZ9jQc(eZXeBxYs|!$DBF{y*zmu z{n|W!J;`6}ItH%prE=ctXIJ1)0>H)6XnsCU^hN!c6Y=17HNO|TMpBdB-s1d=^8=vQ z?LLCuJG~ov@6)H)-$YD6J<^+2ysz4%W{6X~88yV8_=-*JUve7i!3+t*eq!=9;q|ht z(*@G$^p#jIVsm+L^=}B)i~acq&f&`N^Ve+MaEbJ4Z;6)FuX^y1{o8Cpp4IEgRfxM$ zb-~4TU#u^$<4t~!bY*V$eFlHG?|_E>Kt1Sn*pXE7cT4Btdqq>R4#)YfE}o|Z-p#ST8_xUi9{mg6 zYvigZaFL6@_tSa%CZ=Tgs7ue`<67ioeUyxX2+og5<(QjH#aBp8C#%mw_ zi2dA4f6Z~88qD?3c*JVbdlPuy^J_#RngUX^`@hCs93%|e7uc^%E8S@+eKCZTQ)Z`(BMJZ6wy6(O01N z*0utd$Dc#*?q-9(ou7H`3R7ygRKat{e7|pI3hBpk{6hbN{Htu|u>ZR;eK-%_`a{eI8+R|T{4z7)*QFZX0K=EZgnXo5If{lPw=CHc7-T}g zwb^cR{Q2^7{oLpCxnA=H_9YRq2Jx6=ANc5+YkA(g_vH7o^1O~r_nTZ-CAMrszp=C7 z?-HJ%4#o5;Gbj(DSSc;Qg; zF(*5-KDPyzS;NK?7kl=A%j^d6sM<+=5YN$b98awch)0yahjpP=<%V88I}IN|6Z!A2boyFJ{_0?1*6Ws-U+h56Dg{*It{T)6<|<~y#R z9CL8aQK_7N`6wQFHYJ0qQoq_wV|~R--t|`}{x9|sy zOHYpEy4o8CAGcx`;#VE3pq}NZdf?uuF^JRnEt*CCUZeit`fW7k#kO4^1zwDw%hK;h zj_24hLtIx)V*hPpp%=-wP$%l|;&|@Z8+9>{^2M7iq?bpUvi}#s%qunrHNR8^NIN^^St-09Ov!eDdbHpX1&VIzwdj6 z^&lFr8CQwpY&!{h`*g(!ipP8UDbH6(6zWR9=rN!4GKtr_9UKTQPh?p@{Qv*^e=`HB z=^pG0a%#Y@R0q2KoGAKxZ@t^`e$QF@t1Q(sVVcoeJS5fD#p9k(u=l#&7d=yOmo6NsEl*6LA{{QQs;d3LL_q!{+ zkLe%>fBR<%aNUf*U(&B{t{}a)-~-<8j(5dAV26K-ebv6+gZFLsW&*F5Q5yd4y8+;0 z-ZS>=T{R9qar`~IKEDg?I(i@C7y9`{iq|WA68d}R!0q<@7_Tc{dtu7|0e5%I{Qv*} literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/24.npy b/MP_Data/pose1/14/24.npy new file mode 100644 index 0000000000000000000000000000000000000000..d2a3f3c91964a33a9e4dcb22b210cb1b747457cf GIT binary patch literal 13424 zcmeI2_kWH_+r~$*%GyU+ELIt1g+zPUXp0P@M~_vaOaws?B1qKHB6=?gV!{$F>RM%y zS#9-hErQW&w6(!n@n()Qf5H3f`{tMXbARW!jydO?bLN`s%Du2nr`GMdW?>`Q7|%X^ zhX;py*5#h{`qlQV#6A0kg-3)34e1pY-lwnQO@jsv@0-Dg_YWG{H{*MS|JJNoy;8+W zd>sGZ{^e$jnM%*@`MS@2{(rhp(fi4r*T3AXjg5io#&wI#e)jyUk3P)|Kwu0-uh8H`*!DD zcfF1Xq4sOvQ2#BdT?PlBU9F6z_S>1)M`T`KI2HYyGx;$-o$~cX#Gfs*ef9Y}&fk34 zigtFR$YIy60;rwO--GeVE9Y)Fom|r4mTPB;)UI~ErTBI?NOA3AOqLYaE>=>z?*Hfs z_|Ki-!yOES|NeynGy-3PK*S`+ChISpfZew!BcNw+sxoa22cVZsY zid@-*)4hGW)9K~YD}T9m)1)ZXWqQqGBv`r>&Cy5kC!*QMx?k?MioAN7-jV&nJ2jU%nmO_Ip3e>CMv0fRja3B9^h1zfL~ z2QGO^B>dZC0~ZYfFfXQ6KJB>5b%Dkk))U-jZMD>KR>cQ(A%BcVe$?2i3BDOvp0mia zIK#2-?2rvvonDXLOm!RG0GziwSq(lOku)z==>B30C$@1u`lUCxEt3O!RW#oy$5q^y zG+(!$(){L)ZST0~K9l+l-c9qEhn+=uE)%jmh_!7GTDT1fgvxlo5DeFX6;FR2bkCr*RDzyWYmEeq<(ls!Guas6#9 zxX4l-T=c#)8T!vY;EH{wI%LzO<96yF#OLNm{jjS^Sf~2!@8G(26vm~FoThbsp`yAZj)ze*GBy*@dIn2Mnu? zc@YzfLa%#lukPZM2?t5vX$Sme{>!L;8`6vP1>c~~MaPIq7+1M`;Id+UinCI?2**YJ zP{hxohFo@W^HM7pyHB0a7XGGU1?YLiM67F5#U_i9XI|@Xk5uD$b;$Ui}^KcJ3`NY3x>bU`U&+WJ{_mLHL}pN+3lt| zAF*Z+xbp7_&I7w(Uy?ojN&jghomWC;baQ%^m&U7G6epjL7bf^RpL#LSvrexsx$nmR z&;+N~gGtY3MIoOi;Bgf6Cx;?_*)kvTNedU^x@&h4zv{6Z^{<*WS^%FbTfyb9tKc^K zsyU9c_A$g$ze0ZGKiOzpw`POu`(uy?vu+9WvSb%<}rsi~+}#oNFYhiV|2fS_9~!R^PwvIws-*;HkM3aInXNO3 zFPIC?{eGI_^m_b6a6a%jxIG?B>$FWR;`3_JJl45^{YrW@r*)K7AfJp?-{za)!ajCB2qZc*ePNO9V^F_=gD!y#}z=Ma44KEL^hv-Lo5 zvpE@Dyqz`Gan^hf`TV>FoX7QmUhT<3{OLm4m!2)cK4WHYMg7a+<*~n+imQe?ADOKY z^m0=H@)`05`?fJhFka&mhV{Z4_nPRNp;!B|!^h+a!hR(#4Q~#g&3@qe>k(LY%EO!H z{~Smc0poR;nh}y9jPS z#`zf80^DY$`yijbd7z7vZ99zkd2dd6h+8)e{Cs)%+grPFpVjvc_I6xn`i z^ghCIyQ?$luW!bEmTwfO6P72O_`r*Fzxb*~Tyln9Rf>j>j$TXs1`ffwpD%d}&d$sP z*P{kRI)7P`@}`b%2RFmBHg}vg*@AKLfuZ2G%l=NzU#K+7!#b_TYKo$@y6in$ClWq#TjQaQ^PBT1o*thlpWQ#Lbp5hxblzio&!BGEt(uFSo;B!%caf+-JkcEDe} zj6pri$Fxt{-VyLO1#T}%&hXLGib1cRwWc~eP+*+neAoo|i(>uFpmx4|&*Ev$g-)+Fou&BK z=0Llis3RR0v4y~m?@^3P7wJ78`pE~-uNpg_#_PeCIWDWy`ICDs!aiVQWc-S$dK5=}!hZ zE;i;ue)RM2FfaOS_W8-qCs9)Vr|qZtx|<#Mab0R0xUSoh)^$p=g-)+J9U-2#Gx-EG zhmRcb8~F^rMDcWN1|O3%^S#=b`ZOzO0)DY);gUBYTZQzbs}Y#%q>eTjMw%PWNSzuMX;8wkSB&`SA1m;UiAd zxmtBvJPrPJcY~W28)&`cn1TGL&pU`Ge*$Nt=0h)kOaK?dreVAy=)!2{BMwA@+YmqK zb#x1Gd8t3~T| zkNv4K^_yCf>NbVmSEx3jbl>TfS%=#`(R%Ut7UxpCax#3_#R8Zw^ZDlx*ROnb7hH0S zIQgEhuy5;wiKGvp=VkNe(_*Jr#s37?-u0muZE`O~{Pjc0r@)PCE^aYw8|p{=RS)aP zMn<7uW%uKpCTseDtKP-HdF%F(&WBw|fsfi+5nR5ijq{#a|AEF^rUmW)!-pe3_Ci7E zdGlRZccRrH_?Ss`z*(Jh(3??>u%GZ8OK83h(tBg^Yrf&GUpX`tT)r7b^H}(I`$*-|IER~<-{HfKAE)@sdrxpa z@?{a|?FJgJXg@mKaq;;W^qeoF`aDv+7xW+g#QGA=f~XEJnZ?kL7zMpJzn|))QJ`|1 z&r2eGfk)7@)@rrmEb9f*zw869#%{v%CR@;l^4X>-=234-K>WN4J%8C_`H*LsvT%8_ z^EpJ%O*Wz#xc%65k>j!@otK1&M;??%RqePaRvP~5$K|L`wt7N{*8&-k&c@;^j?COeFCmq`%A~|>pOW}oOY=%IGdA|e75IHJD9728Hp09auF6ecsI+z#Rkj@*H zw;=8lzS8-apGa^1%6$GE=1F|aX!OfBuY}$dx<>Cm(`kP&(V6cvk9w_gK78^`inAF# z-`S-Fv2W;i^!y?_D9nopIY-YO`?`>RHk~(A%&_{-$IhVlelp8J+9&(}2X&$g*P?m% zn*eU+_8R7!p=aM01vmA3(!BrC4(C<2HZS%c9#8XVKJqx{FK>E1aM$ryhU)Fzw3+U^ zokQ;&43t)u?FdH$8HM<8tjqaGhs7IJ@B& z<+#m~jry(LkMzAfCpvCM`Vueup5jT^IUD+p;pD%2DEa(21pc<}C2%pq1A2aS49+up z=L+H;--7G+r*YrcqqDRegv5vDk z&uF|WN@72;J}DiOGq6qS0B)LOr~R$g}{4f_>#&go|Er|V1 z{;~^Ptm{ns;ms8joIme6ihSY{Nq_!PwBxe$GSYue0@qb`j&@xCH=X?Re2;xtZ@Y&) z^H^_i`^8Jz52vOpVu#rjoYv+=&v2H!!y#`9PBTkof#h_m`}8gHK6;3_PwgX3miC&Z&m zoTK$#d-FKQ`P?PYix0QZuW8!>=T+fDbt2bEj92!}KQ`ILotO3pIr}Pn_`Xo(xLNTt zeAKTGFQC819V6VQd_5Tbs-q8(PZ2N^>yE!(1HC!h8eBh}CE@Qk7kYVz=1U$s6-YJxLr=O|ceLE*Qu3k3*XETpdzc1=fb6npJ zBmXx;Z~HpmO*ck3F2?l-S5NL?U7OlnVxYepL_T5D!Nt|F7_a!cE4X-3i}r!v55r&W zXh-}416PSZPjx}Fn>=NQJ>2VR@6<3qK%>&{mKI42VwrvA9@=Nl$R2p@~nj9p) zq%QTlBNchzv#x`y6O*uBSbcAdi}ff%>nLtK_5po=-A-Q@kLPCUx5V$%Z^tr$E*_q^ z8(daB3$F8gAB;G+3exwUjd|Cn{)76lpJTxF`{uOn3WO-9SG${nv%LL@UoKAirW?qo zWg7N3eTMnMzpMx9mJMx!IBoC|oV$2Uy05XO)3EON`XuZp_HA|OdEt&1eKY#gg*sxr z$fiZX&FfIC7q#)@c(lJJf3=j>g&kF(sq2?@zCrQiTtj)z-JlWpNBaM-5hby%&7T{w zE?67l_FWMC<>MU~uMEoE=Oa&HU9-nw*tdCiZ^UE0>(YH(T*LcSt+vv5bMB)1?7Qtt zT%1PJ?^Wc04&bu)yhz98`(WrrH(%_Z>eJ{s;LTege*K{n@+s3lQT@!N`x+0V_kQy4 zV5}o^;|Y9pw=ba=^-jmbXYT@vC#DuSpV)%#<7pkir6>J=)_ye{=LGiG3-rqtErwqA z?GxdAcv0G~Y_m}EZ@f6fapjr0PQ841TaG}Syli`_|J~b0IWFsG z#k!EoH^N6Y=)VL0x2VqT&Q~;FuOGH?dbO1HbDnJ;?f-R(4RYL8YDM{+x(YsaKv(R; zqSkQqD<@=wUM;$?$m!X;qUe`Z&Vx8b_%ZY=vUH?4cnRpI84-9&%)*`k(m=>P z>HLt=FwSxHA@f|icq!#)c-Khyiv;+H)jhy@iTooRx24a~xP%|LUfUOX_UIEhxBlSf zdS&!$kJ7nI_X-8K7b{M6KCIm{#KUseL_GGS_g2JH`x|g`mwwk_U#-GEX6|o-KU-KC z_Z`_S>!joi8y*+|E`Pj7`R{U_&KtMsoMv7YgI;`&#W_t>7z2OquanFmT+~G^N}}uKri}Iy{V%I#=^f5 zJ@<(Qi?A5Oruj1SppW z`JT>K%r_6>F%#DyKRSe-Q`GDh6zAPpQ=DG=#=*x#(t9EEIs|&tF0*cHevLfn=hO4>*Dcm2F{aC z5dT(;ble8f{=o9ALOlA}=AO>S<~l+1cy0~i;g4FQDW1U`YI#0an zV&q4?JmQId&*cP{9&ItdBIpJ7VIJQd+>BS)m(-JTbI|X{X~gGcqq_2HHWdElzNb9A z?TGo(;p@jae|d)1ov1?pAG9xgx;wqRloNXS<_oIlBCUoxy?We;c+bPAA0tXh$5}gi zPPda{Y5%O>vVrqaZ%06HTJ0k~s`3Q*a5^`t)NY8AMgNHVk?AxB@v{nNF)p@t73RgJ z)A>Q=NkaTQEH~;|%&G)`F)0jjvZgVUoxdL10bI?TLi4g{6+J&bdqw=u-w}@p8mXP0 zKc5fI#zsIdbG4*8*--%Z9dWKYt@pnZ);qmvT!Zvw2Y}1o--S5NrqTIX&w7dZ(lL2( ze&z=U(zveeq`cM59-EvYmx9ip{OAR6ad7B-$N91V={L9|~H);E@ABs82curxdB@n;J^D8*h=P|!Fxdpf$d=K2L z+lRc_kKr`lo5@uFkrfxYepPf~gXTI=6^9be=KM&4#;v#b`Q@*-GbV{hq8o#Bte=)~Tqu zf&7!g`a5ou@=%=b^C3?5dDTwnXGEi4wdY^T^9Rpa$!=WLY7>7}7ImnLr(oSN?hnqY zorGQ`-@&}tnCjr>Q|AA*drn>9d_)?}m+5>5dOkgRx#RLW-Dky5HBg888prdR*+S=V z^UHsUPwYwlbG{@0^But1p-7xhMEOSGa&1K#@5i{&Ze02>?PH>s1UKEM_i~&SDM>zG zOaT|KS`0)y^(tdt#G%QUUn6c$cY3wVkND({H1FHPX28dJ{r}(pxeS<%cc~60UBBb% zKzFMgf&U{^XoGbneodtN4l9lOj@)npTt{@mzMXL#4|nyZ`t2gV{Wa>@+LmJ+mpSOU zOBSAt^}?d>OmtlQ`X2SFcl`#vDRT(>gFW>PeE8tU_%yF{0DP9wbDCUR8Q019K-@=6 z|Ay3WHTu1xz5W#UO_i1%I@NG4t*`Gc1^H(5YjS#m+qLs>o$wnu0RDOD|I_NyGvtG} zruT&6<{*mmpH0_53+a{;*)OTI@zcQ_A62S@?{sV?Hft=qY+K;9#{o00T=0CBcIm4KD}q2vzPdr a)#%q=DKQh{I{ysZ?4E{xP5#j7$^QeMROxL1 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/25.npy b/MP_Data/pose1/14/25.npy new file mode 100644 index 0000000000000000000000000000000000000000..b8f79324d6886138f337039710f022d5a4eef12d GIT binary patch literal 13424 zcmeI2_kYh<^v5qjZAxobuNtvO>=>UbHZ>!td5I)ctR!N@xG`eYh)s=)m_@{@QF2k* zw5Sn#-JqxtF-o<@H}`e&7kq#He)G%w@p<0Y`*qJf_uTuw?@vC9ItFy;{7n`X$)dam z1%(HOdHZtj#=#A|t8(w)5n&Nw1BUk>5jH5u@m2#u!-Fz-_}~E}gEBr>tW~d`Pt{6Q z`9%J|{mac5(}f=0^JH92{hn9dRgCk$o9M2GKR$DxZS4v7-IYgYyX>y!-}))8UFV>7 z(e^L2tF9%{F00i=yZQ42?$^fuPj{c_+nCxr)ImG@NbUTZH~LrKH_W_$igo_H8Tp%- zguCeXTqxQ_z+|+m)|u_8UD2-kuBG-8biWACY;W>}`d?lImvPjtk3U8KIwjyH+SC8K>Duk8%>H8^ z{N=bh5da_4sqG2ZF1~wD`ME#hHtzdpCEC^ct8uQKh0y&hallj8t_$Xc-n`MfUAy*s z_QY}H*>u5ORY*7J*xC2jUAt-$K>C6?ab^AT{q1yYus_BpuUxs~K8u_GP~L_p%43cx z&)xm(+-21aTR5jp^j9mD$ko{e3sXz<9^#^6WVRrycn0+-qN~u^&k)W*KfSNM8;=!It6)W z8=K#C?fh^U?q_Gqqn%&>fcx3TBiCI!Yx3&@#1nl9?V?ztZHXCJ9Dn`4#2uXCK|&IYdcZ35Tx zzFz3KEWe-jnUH*#FIDur?;STj@4&^PpzEHD&nkQF4UUUe&uCw0wGeu9-~{~Hgwx=B z=7K9uFB<$E3!nJLH12-K!1d#w!(2OWc!>HPTlup4ELRrz>d71nRd^&r6PrmgVL< z&aX`){mr-M9k-XOD93HNFEK7LaW?Xxr`Eu@gf9nYF(--7S`8mlh4d=m7Uk`)!L#6V zp&az8Lm8}lJ-6Kq$5oC>#CZ_7I9(Td6;TabmOKQ`7fzT1{g9gABCsIV9XIha9XGFu z^EQjYrFj+sy-#-XX&Zof;l~PT@crj8UR|m`&7)tNWsd7QHBlGr$vWgm4ouP>=l||D z@@!|8!MYVqCJ3h&!P|&`@PO-@39Z2=j|MkYJA$iP%bPkMeV`)E*Ycd;a#QZn@K4J{ z`S(r5Jj(fgEga`ZW{|$t0n8(NR%E2}S8a|_zn<;HUoINrxJ~m1*JV;@-VZMvzOaWt$(>0@IRgiu6BB%uFUZI zR9B@|fwM~$i6=Fj>hxxFebT>Vs4G*he^2z=;|jPwQyBFlPVC1zl?#3a=jSKTx?Xd8 zz0>Op7mx?@dOzmHCjV5~lfha4I;782miC8!FDE!Xf6x_Nye&okqf!<*ZnLx@y-yPS zS(&@o2ju2@$fw#@5_Ki^OOpFc1R4b7Cvyr(GX#Rmf|*^Vi=@hQC}9MB}=bu)yir^&Q|MVJbNH`#?OY1Mxdi z@Ueks1DsyQ2Z0;!fyCD|7!1Du9`*a|I_2R~L@@mC`$KOxP``Fr4*1)-KVw`h<~Hw5qUOI3!vAsH@HX)hh7iMJ`ny}M}n(F znqM1w9Q7k2h7ixyh5S#YVZY*YR)U)v<=`(q^I7S9Ozk*up1(NsHuRBl+zzGnrIKj< zvS&X`2QU8uda>ad#>K?vs6%d2!S(wcSid6w_DH7}Rno!L8xC&UeGR?&>N&XV|1vir;n%;@cWRCN!nuifETcS4>) zK3U%o^8dCi>On?S8v*^G+Tc2WZ|LpQ=Xk#8?l~#`LI(Yc99L-{IDDP_3wp5LS(V(V zTRFNFjVqm=gX-@i!7eV{${>E@Mf<-#dnLwk=~Ev5s?`BJXNA|1zK*j8>ClTkLEtKV zQ5g98?$ER7o%EcYd4Ecx^DiAn{Ax1tDfe_)={TD>1wN|BX5`;?D208)TzU@9Qs)sL z@-fo+>%xABUtHP?E(-WGLchDWgPW1VXdWx}>*f5F_us^mauUy<4f_M@UJ3D-L0b@~ ztr{2V^m^wCiqn&Xaj~W6k!O2gE#i@1WW&6(tC0&_zh?AL;O5H^=*`V{*gu7R3?KWj z7xYHu!1In5Y5}fC|BQIdi2$q@y{;(voa>8t*t6+7oWCgF8G3%N1-N;BdL-g};R~+H zbNJhfqb4|R+84%n8Q)9smtHZ^`N(EeSMts<Q z8<+Y1@;n0mszmbA#0)Odiqp6PJ0X64Y2!r4O^GP@^PEGGXWdpVc0M{{4Asw)yXaT< zSQ6m4jNb$Oyk%I`u+E7YT;!bxZV!H-^TW(v{2gam zCAi*F5kB@@t1^z8iY>r-`##`$^71~;U){=FN5yWyM2=^q%Kz)0q;KjRdu3vNXApGU4UEu6eE6Q`Rec*O!HjGQh)`#96To115&j#l`){Q~@1v1YGOIyQ- z7tb}$ah5X_dR~*b`Osjz<2t?<`Rr{#`to+qLIo`F4&h&oAd)7ogMVKGr*HhY2{HeK+fBR;BTllo|rhf001y^sr>FRvcd-~pk z{ZX0XX?z3c5T5=8`eoURg0n&wQ786&6pd>+trt{rRZv7kEfgy4B0&(itIcDQxT#VzkYLY zP(Sj&aMIs?3a%42*K$7c9DP5-^2Z=fljR%4Y3I}Xon6%&&k^}aB-XV(dWz!roTB=? z_F1&^QOk?bc(Yf8kNl)cq~mt%FVLHt%Q3&Ia<@Rob=fPlzNYm<9m)~8mcr+9B=pk% zF!ZK zALU1F{TAGoX;1Swd>rNN?{IJv&}F>y5u+M_>qHGM#N06STZO(K;MJaj^T(U;9AQ2F zqCE6|L+kEHm#MCQ_E}SKcH$3=*Q9pa06v~mzgtdI{ZEOC0AJo0oX4hu%Z4rS9ArB; zgR2D6oAU$fyLec{WAeE$2YPk;Ky&bqC6NbFkj`(a$K@uD+e%HrW!-GlZ|?ZUj_a3I z5U1YqE5-S^&@N8~=lAKo)i%#O&rE%Z=afE3?`ynb5cIrOS*%m#y9@qiOdiY^o7aNo z z)uwgLAC7{ahvY*%tW#YYZ<@lq=%G7;-MB=L9^hhh9Pwb^j?PC14h837iQs(F8SKMq zNNvi$Z#202gAa#Ki_dAk9`+-??8Q*WRnCIge|V24G%srgtc1U(@}I6 z?LIS~8qkYX^$@@5)D!!m`Tb|;+1rB2PG=6y#ks=XUJbn(G!6aA`&m&x;=y@vb0rE~ z%zi$`-6w{7QNOW);HLNt+4UDgO7_iMN>*2|l_aIRCC9xSAgv4L)fkxadgd2bENO zq2uP>3;2s8d9jc2pBLi1ZL0f1FTEGThu;jC@AUGw59A;E6S!RT)mF#Zu#Mm<;Uc(b z9Js=9)iV|TdSyxMC+tEm|3t@+b)#{W_=NVi3PbSRVey?Po{KwZpBx=R_4(fdaMrL4 z>E}evaz32@2rg&zApWA!B**PPW67u57I3wvNsQwxas{}mw-cP7Y(36#{q!Ta9$pLk zut>j4^|qxd@ulgAUj=nr=k($Yake#pcue4W$9eGxz&27jB;G$S_Zv+a0~tFkXooK!!zroDt+&2`)!z%n4#x6){=i@GJHhmE76X# zhkJ=He0<*d+Lc8{x~q&Gj($b#UF6fI-HLUbZH*)S)=uCeXanYj&7Dti{#uRZYg8HN zWxnm;tp9rStCH%jbv|Yfts|)hQy%85ME%Ic)8H?n!ok(-RXE4m{9D0oyBNw(i`Ag(kn3g#Ih})OI`6oxA=bmgq7+>vQz*z$eF7}=2otP1i+It*a|GAxbr{r!< z&wcuUtK;V>&-qR*gWmT$aFKs2#gm?MwBzDLDCx8B1Go7Y z7)Cw?!f{R$zvc*YdKNJh+;)A8b!|HxhTc3GMEuSI;ybd_eqwurGanDQ{%j=e8*Ti- z)$gBxb5F!H=g)`J?+n=6D-{1%-=bepp61t1`HSL=KZxg@N!?BTwkSaUX@|x+AM=9& z*Rlz?svd^(Hk*6{-1Ljada;Rlz|GU5SVy|!2&{LVaCDEy`E1z%y*Qpk@r((j{kG>p zaP{aMI1lOC5BUjiM!ex%%)5Sb1?x*rpGEw1YjC@?yn;TI@^6oYkbX!O)SJypb;a+! z#QrARAH#V`=go?`)gC{Jb4*+5;^Z;(T(gy8P!Bw91@g%T)h7K`{|inh!-G-(qFD)W znf@)-i%LEo<=XY<*}zrY2CNJHsC0K1r*3r%@v}+mkWbboM_H#=6{>*C9i_0o%wSIE zBYtK=iU9RSaZy;K1t^d{$+hU$3=V34EXnsM?9ueJh)yv zb*bZeUgqxo|&49*hI1UasDe+$m0*Czk`$G>u%b^nO-9(%G8d5|6Z&rNjv@pHt( zJM}?5nA7i8IXz!O`<|{+^s@Ub@_dK$iK?FYTzk<1^(H?IUF&>ohtcR)-tRE4FuYKI+68a2qfW`Lw-$8R|Hn-41b@Y^xBD zF3nJf_BVP?sUNaIuP5JM?DVoo3G^#!{RhtOJVC$mMHl#+4~5Y$uRm{+i${mI1J^eW zQ2gVIt#Ur%<9_rj4);afih`eFpJ&GoP&_qqV1JXXcWiV%stBj?dIrKrCYSgD{;wZH zZ{vnyz00mV&T&@rGVv`7Q2*+a{_xS2XdUr-0T%a98HRI(I$jiUvO#(lH zkM!J;o!(IV7o!_Fe?9dT{JH-I@~Ln3qc}sU&Q)3^#A7|aW1U`~qjkrlInCoWukrA?+>hdKR|;G<9D(^& zr*^|%s1)Q`Hom*U>5caoiZf*y@?-Y&j|4xd$tS!YIGd0Y>&~91{MgDZN#9~9^kV6I z=*<@$z-_k7x*AlH#+&&*uCKM7=KMwRRN}d-BOZH=#UuX3MZo2{+wc)@AH+D$?`(%Z zze2xDQ)6aFC%X9GMu6*ScaeYl>Jptd%4VM1o0Y_KO8s3A&k+_i0sefkK%QAr(lY0- zjUUBR{cp($to^rs2%7hTq2zQmBg0H>En9zZYZ(En%kKOMI_Ztl~$g8ST~Jfz&i zyqLb#;bTTD!M9(q;g2|YKz z@Sl|E;t81!&gvDyI@NuHksncXA@y6c6F3iVFxBa8zSX4nT}}M$JLNbZM|Eog3sZiI zHOD&Qo%WGWy#(raN8JHVul!Gf%YN&KAN{RAd=f5#izm~-?Qd`TI4=L7_fwwqj?NDw z4wmyceq}H6$-2|;I(WW8l!ql>kx$`QsApET`84!<)f-%&IZ1VL$@FtRR<;7SIq3Ho z_FLZw_z&Go`c`Wxp7g0bosacSLciwDa>Qd&Z>@BC$r&yp!_uJLHgXo)__l^=c#Gy zhx*aMft6i6DxKcrxL)5D z+&;KN`hgc|zEl`EuX-5$ntN9lIlUNK1o>fSKf!oyXb|=jp3(z)mavwd7cCghd**!w za6R)L@sFW+ewhS{lb`tyT=~5i>-=qYI=ArBY2Z4&L>S`VnRy=TbOzkUZXW8mT21Rz zi!Iy_n#Se6D{C zPiMD&!@Q`wshAhpr8e|pIK5Z0f-$QST|B$mgWKQ~=tZ`<-#ae5(SB>nQrZMfWCdruU@%eV?Et? z`P47qBLnDrKUHVgFxRh0tcrP&d8g3)ZY?m&>1C-F;9_ED+OHBffoC-R|KIBcU^smXD>&)-+Sw7O|eeQf!ryM+m2;MySmaHZxa7$Dm_Pn<0Bns)enNJY@_J8 z`R|#D&`0kC=l|WH{drx1DUS2vEy3;HzSwV>>PY)ih2`M7|@yt^OJ9M;G%Uex9p*fa7Xzad1A?AO7sj)ba3H z)E?Y^vlUm7M^1N~?~cJ|S)SITUD=2Jf4Acd_G__v7d?-Lo>xvUi;M=B;v4KgCU^$E hA2Tz@gPR%je^t3F3-VxtSCRhoF7(4b-8VDwe*jzz*9ias literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/26.npy b/MP_Data/pose1/14/26.npy new file mode 100644 index 0000000000000000000000000000000000000000..ae40ccb58a01a08a70ff06b585b623736a9b5aed GIT binary patch literal 13424 zcmeI3^?#N(*!F|#vjM|~j9{Y-8NR}x4ef?|aSc>}7OMiq0xeb?N^uCqh8G{U1{f|I z&VbTT+?@@7n&a&I54^v=FTY%$`2z0zr?*ZX~={&q&?;(NdpFOJAsZ*nJ#mamX|G)j0 zn=xiirQPy&*Q~v-;JPt7Ejj%&-}~j6`>fgxzwNH}Va`kL%2k(}u3crJc5~(q+F5;$ zcC(`++Re?+xZezIbI0AMYd56!xgF4M-~XTX^5|c!tB-cMeuZ`Z#+&@bluc>we)V`T z+Vv5QcHM~DwMQFjFP?~Y8%p={@QnC&KSckmdr6E>>^*wU`P*mIzsi03rt@c0_n}?> ze&(=i7i}}{|F{n0<1?OKb2@Xpe=6=z%!qI6ZS=2e`Cmu-b&-Pmmt?ft+YcO6g*}PWi;O+wFy*=TRlMxpq0~{$t0L_oj31 zs9}jxiwa}B_D*fw&xTYYzvw-$s67$)i2}b+|3@~{{dL}* zaqZ&GC+qz9jfcoPYtuc&eHQ8ef$SL z`3u5N6pcarW-;~87A?B(+EwLEuie!aOiOb2s}2#d;2%3v9EDb+-ON6>#c>nUVkY!4 zU+&@BG2oNC@}D14{^w@@0XpM@`*rb9w41G^4}yQrUBO*NpuzoY!jjA){j)5$k?JVm z>2ojFUMdpz%cd*Pu6;UEJ?a&yuHD>vi~FVeK8r~I%pSc*-qp06X|CO7=|k~9DMRh~ z1oEObRJ@AzC%@lyaj2%}(JuOY{w+EEv#$N|G1{}npg&XhGqrENn1J}}zJBG}6)Qn? zJJ=KR!+JKH^0kQ8MG7YTzr=Y^TooJFLK;2 z{|K(X_rL0${@K(iwgNu;o{|2^4AL(?Oa7lvk-qhG)SaoCiTrQ1vDLYVWj zFZMvsu6kT@pXFvg)%nXmwu0NE9WOdA5*gUo^>aTd+E~yqN&b+f9scT#wHNu3omIdC6Hu z!{_Q*j8_%v0d6n#n&-G`Qw?72*ip!&K{3hP#NnI+(#vKE}R_M&}s z%g4sxsSz|UQ(A!Yj^BAXACbd@d{$=%7Y7PQI&KnjAs#mE0p^i^Q}!3fRr!hJAG8DW zXzG<4;{5qD11|np3(kF4^#?EQM|z(d;P#*O0gmfN)xb@@5>zMu^L2U0Wz!F|?kdhe zJmz?y@=oWh*#N}D*Y(Cavr%h(9oKuy!AI6y3?DZ6=5WWQM;-F<3Z?O`XprbQe~|>P za@Hr_#BVC}A*t}Oj~}4^ZHsNu$?1B*QqZqR^rE`D_a5~o%@fK`2-THsTN?Ey-Yo@} zFA|`)v8Tahv*E-~y#iOkohLefKGuMn(5$E{^LYBY^&?$bo4*E!B154O~Hn#Togt9Yk#{$nlZ zZE$JY&zs~Q<@7?eBmTTN{7r+mbHL{`CSLj&{FU$PS>R*pAfMuGG3fcEdG#FE-pLft z`EBHX`ZMZZCUt>cSAT*!w+o+RysSiS@)_ufIAujX6h7U95Wn^dzu@hB6Mv6)S5>kl z{AJnlG_J2wv3_;zYxt;gM~R32?&Eyqd#ZCA6GM6K9qbGLX=~xn3v~sTy9;h`{`UJZ z@E79)Xr1;rG!y!B8);lYSuXcs!@^e))y! zaL*%fF(nD>*Hg?I)&C;z|8(R1Wl1L#@&3vhnoDD~TLIrayYC&NE$D7cRBg`PKf zMg3l=4K8n$m&*=f2(7 ziQ;KeKhni1`j3LYC{J;!R}Awgiyi`3UI*c0*VUip^fHd-*St00W^x?O3)>C730(m$ z5A}pz1v2vaGza^Vtr3rYZB=^jkrOLmf0G~jhr&O$A@us`H}DZ2o>*V1wxRJZj>LLl zlg5vB&X1m2m2MvUa6b&F`K=>?d~C1cV^#T$fp|F7ye>EbJT++19zRO|Kzxj5Cy zWW>*3(*CbU+6j)c*X7W!owgItS<`WU565}Q=g_OB{@@~bT^M}kbfo-D-$3Vzc5lZe zJO7Kc9$A_5$fp?+yb!$TIQZx$tC4?}S{D0;?eqd%6q`=G{g)``&o(wh{OSumM|9Kv z^}u^>02i$XKyNB-?CSjOwT%70O%8DRu{`z%R=y&|xqCI82cDf8;Pm3%0^+%kVqCVz zJv_&4#4?JfJe{{y^hms)h|_z)`Nsh0Wuk`?jJ-v z$~PG6MQkVnA6d5t;<1MoZgf7XcpK8^@Fo6t>JS&FURe*E&niWAJ|ljl<5m@*c|WrS z@vxpd5s!I6&mC5C0P=4iq+;Ef&i&CZdw=k{>rdvXv>Dgt9R9*%D16lFrUM*j7iJP) z_8IZ>2Thi`el_cee(lAhw2yVjl;HGwTsv@G#uMi^QRS0{e>A;kss2CGI=bw&(s8lw z6XG$w>71iG$|a854K0WtEJyPaHx68c^vQ@P3I41{Q`DioMei^CbQt`V*Q11F7tiW% zp*Oy*kOz6_@F>UG`e^v8mHm-t@z;QO*Dv1{Mfp5nso&s)4v6RL)!-&I65h6^oyP0&R<7Roru6@$g|GuF~{jy(rJpPOm-UI#TeQ*o)-YuKOV%mlurWI zh0%M^uUI<`T&L7p03WfK`rR`h`v7knkA1+D^11EW?aq(T%e!kvxX)_-S@`H;#}L0* zJlfN7-T6I@>+j_>-g?uzIxZR)gul%m2hLY->JQ#2j`H?L>kPhrisL5q3B{ScAo*my z=;Js$w2%BByumqv*PhuXIUU>H)4=)N58z_deLu%donGMje0lh==Hp5`u3Gtm+u2>H zUzXh6`J0Edj`+%}@UcT*uW?*w>j1sd=b%@q+xj_f8{|QL_{VaX7k>3Q_EomIH^!^# zCxf%~w67YUjOS5mLp`p-c;@rNn@$2yU|bB$S!izWxiN1sDHx|x5R&x;?Au6BCknUC~y zTVcG``$lia?Qby@&-Sxa=gB2!J0CuV>cqS`Lh*F=ZtuAKo!-B+{}XV=Lnb;Oo-!Q$ zid^$CUc2?<3ixL`0)H0ogZk$?v&A|e+koD8Si!-xF2;mSa9mf<_UmS@_ov|Dj;n$LDV`O??XyME;H$cU z%i=$iK3I$Ze?$8NkNhXaJNr8q-2w5- zgl6EXLQbl;I(M2nA6B^nxOrC^oS$#e&iR-c8RwteRS=J8R~!Axuf9XSdPgB})i;Hn zJ8edi&+3n;D>kJ8p0g%9ozvL50yJNRqI$W0)q-2l%hERyr|B26#BsT74f#|H1D8EQ z5}+S(h4}3T;B4?vJTFvY#`$W*HSGUl={wZ9%H>7tC}9}-l?%cnoDWN`11`TU4$g;! zhC9yhq) znoOX4PWx|&^O3){q<-uA&~xPaEUar)?g;sJIf8gZ;c{aU&&?tk}9SKL056 z{BXv3d+Lw=j*Ci{vA)poVvj9KPVd*Qr1OI++k|+Ik@1f6 zvGm@=eprS)=!dN}^aecW?(X)C@lMyv;|;*g*fSWfq3u&?Rc(AyE=$iKdy zjn>@}dS4TH{b^i5b!eS7NFu#gE}E~2ewY`T?JscVLG!3<$1idHT3^!hU+Mi<=j{lt zPDE3jLza@y-sgDV;TQe^H#7Xe#mzR$oR8^wgZjNRnDmFrQ9R$*CSGd{?Rz9488oE|AN!0 zPb+b*ko%WHFYk{-zs#!?>PH+pM?SNnDb8nK4|Dg~c3I)0qWXaIxCIJv?DeL2D!ryU z?^S&oc=<5+i0FaPn@m~YZ>C=Ww-3HtgzjcXI?wD_0oIBp_{K-@=e>$yKe68g`6Z|KtJ`$|H+wB_8oCQy$9DqfALosB{-zoIomDjX z4P1;3pMZW77m)wSP2g(h`r*)5W)%O_8rX-m(IMV0Kjo@GuNpl?{9=y(a;F#LiHjC~ z;AUl5qT_0RBz)M#i8PPBmW+2kB5x>sOu~BFH#~3B{&`_8xHy>rA3nO4&tiYz1w%2vydV92gx9CP?}%j~8a}z+!H2J?ig;w)iN22OcY=J* zHUJmpmZ0AB?Kp7rp}=_;H-8YW-Bpz;10R<8Ir)4QIo|oGv_asqsUPNDMn?>GdRDL` zeC*-b$g@dKj&$6t&v6%i_m<u-~KxKWpT|> zS9ZlhaIvX7#>>OEjZStxi!?aTbpbxS%8jv(>pypbv#%eWb-sFi`yuf69)f<=;WXq^ z?|nPVan*G-^mbiqaK<7qFRa`w=w;t3=+~^R3q1?i2+lSoQv5BtEOS1#I;|u9M_-Ir zo!*7|(b>ntUlj@`9&sM$Sl)FlxL7#>+-_TqaS6|U;O1OO+UJk=#`(v*xkx_OlgVfM z&;X229R;_!)4;`)_1%-*xOW{SeF&{D9lXWQ>CKhy#Ap76Jll!a=0V?TD!55qOFn_Y zk&g3!2atZ^4sgk;AN)$=XT zvl)T#(YfQnSzI>EJ0F}8=Y)pf@=hf5>VzM~IWHGDFEuRI`K$FAbux|KFL>aTFvrEv zmC)NBj}WKHd>PL>F1LZRF8Sf3UtJvzpK1rlKiZr8^)#Hf#er+!{GOt7?6EfBW=0XL zBRzi*_5qds%r@`ze&z9v(2M3L(Jyc0+1~l{>AS(z`g0V|!xFt5msvC36X#69yo-+i zVSVXpaimXZMDc3$_+OM8= zkuFZ#GUK^6Jr?yKw`@c{^-r})@8ABM)5+0_>c4aeaPux0>&2}3Fv7KqXW77Qr4_Uu zuU_fk;?yHj5Wh)GqvNYaB(3J{_MztaqziIdRF4x zS@gHDH0D=sqw|Ipb?_WlH#_4!THfDGaX#JzZW9+Kxcg)Pty6Z3p1-n3zM+Wc-vH>v z*m~GMO`a<_C-9X`5syCQhkWwS-$c83L^gV^DWCqx8=E~A>qs`D-{mNuEYPb4mzFwz z{{0;I>oPTn*RM4b+`m1=IejwmHMPe%uBtynziP%Ta5i^;xZ}oi1vnej7u|@ z8Uk+rs}8PXCGyN4eZhH8omoM7hzgyS?0gQtpz-ePM)gpj;1cH}F3$w#8w(>3Dt;x- zCuZ7r@E5Cms1Bb^TIPJjwMcNzTfxWl^Tm6I&5{M{f(_P`&qJYGoj=dokm4Wp6!8di z6zhTwUq(D_D)K4*{Wk>uyP6{&R&Nn}c&l$vhiWoCr*wQ~+Q-VgiFbNC^jq{Re}6~w z;`;&pnj`JtZxSXQMc-SCG7L!#V&B; zofZ2VFQ2>$K7W=%zap$Rd{~8Q>m3&tA3)C!_osazPqmeft3sE-W$sz1f4wIhKK8#X z;Py*<>va6}Qk*MnnWBhOzmmwmSUoQxIlbN7qUV>oy#@Wsz@_~hSMAS}f7k1jx5JY( z`fd4v#+#2(J@ot<^~Uo41S`wKlWbXk@+syYi#Sss zAs+iO;~coA#Ae6Mh9cl*W(xFXMP}?{rW-v+(!b!sb4TU>ZESM7-tMP$XO~&zUv$2M z{hw`Vjd;w~Z=u(ByW%;*tBi!dXyT1L>k4)r;+f<_{rbEHx7BuFU(#oi$fw70%$Hj6 zs3Y{t??A7LWWu_zhx|7<&JOf|ULL)P_?c%G)DOEyzw@yT=U`uAe-=TUeDg=>*`B%N z|E47R6;T=MsQxL8i~pq8Ie+avg5o*-gz7MJ@aW`pZZ6UJN;fM=@e~N9{A`#Fy*Szy zTpad_aeB3mo_9Kz2A3N?DaY-$&CuIt^t&VeU7U|-eT?RD z$~?qlf?q6zK38VaU%3E(JF^P%tjnAOHx*~0PWb6=eoimKa)H}#T4R1q(ROp4zZysN zzye3pb0KCDepjFeOom<-%8GgC^WFtHy?sdM4V|eK=0#m?s1VQUzoAznzFc*m?cDgT zPA_KWM*KEwCd4CR&S9O(t5nat{2$Ppfau=1?*pArSns*mKUs}(HQ+Ow-V^nJZQyo^ z7y8wmY5(C#^gBxZ&uPrNtud0~@jprXeE&?6>9Ng^NgLw3*WbO2P=xlIlgP~_P{zIL}m-*>A8&C%G zXj8M{djPq+CiG%o0L^c!HTb&{E8CXx@BakzB?~FMKe8HhKIb7@D9?qbRXu&r{oqeizL;|4_-ruYOsCes!)C?89Qln?~?2 zdkdV+*afblU)6GYcB&NRM-VqPZVhx?)Ti?RFPcjFsK-<%W5X#wv3pRrqQkQ}PH)2s zBR^(x4vbd?L}NeU%jrFoy9sNNqL?^zaP{4vM)<^c{ouMTzS)brD?Ah zJI;S?0WQm?(mWnnwa9Uko%UPhRULIGeRANvRX(P3I4@ZZJpFr2%)8$IJ$%^XHpI`3 z!}&yC$vE$=szBqt^KqCPm)b!4nE0(HxXu1|XUB~Poip`luob>w-{kkvJ|MdoVz8LT3 z(CPdP{$llnq0V3DrT0VbUxxaxaH5Ojtn44qi^Poo2hkxY-1*xnDdcmf4%UnHZ9NYC zrvG6K_jN4_fAxKuuj3}F3OFAuDBkv-5#SY@f{O$3xT={~$CA%r;sK4}&s%Jt;J6q@ z=WoOJl7I0xV;pBKr(+-2&pKlN5nWU1c{F(nI2%oWPiN5^!DXBE;JhgH%Xi$1P5xgS CywWrP literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/27.npy b/MP_Data/pose1/14/27.npy new file mode 100644 index 0000000000000000000000000000000000000000..8ec6e77fd24f15f3d210f47b9161a85d7eb98c39 GIT binary patch literal 13424 zcmeI2=U-Jvw1!7XM2)dvZ*gp3!>&oxz}O2$!QS171w=&wL9q>}DE3~!G9YS1KZ;4Sy#2UqdB`V5g-o;;VzuwE2{X5UR`(10+w7m~!ai{J-`u5JnBG?3v!9&6V zLOq&rk7h%^^Qgr=hK7WOhx(5i7!o>oh~;hkM}!T@=3#;UqlaXFu2!#c5K@_NtfPyldNe)@QV{ zFK$u$H`UQDQf{E#{FBoz+upbL$<}S@{?XUb&fZYFc~=4PoyR_CS6$uFE`Ff+rsJkm zdq00Oh5REbqg}V6cHOHZ+C}D0wDT8L(Qd|2JAZZmzP+C{u7LijX4@~@{N*ExucFV~ zh5zL<)c>>xzuR`lFDHKCB=pbm{o)_!QmYu-t`ezTgx{k0eI}uued%!Uf6-{ryvh94sI^3^a{BXZ1Tow28@vlyy{nIw8 z`@R-`+xt|7ityvmBabNq0hvrwU(#g*A< zxlSxKAMJksKD1Z$Q@|&C<+Z*={hdZ`)zRLvF78)>A!ye=Ej4scz1;1Uwf_nC^MR{# zi|mi0X*twQojd))EBmva9gO?UnIyDJ6^GCA(6-xXZ*~Xwvru;z++S}D>LiceziZn? zWM9&MUkUBb@Zp%x`nxHA*>-tj{R5kaGw~AIP0^d{Q|#x$#h$@mMnP|id`3HOGC#t$ z^Ta}Z!IrQrEIr#H?r-^r5ig~93iol%Vs&^x}N&Yxc9s+kKApmxH#0%hY~XEtk*3=Yv0vCVubZMaxCRY-u?! zR1W=89p+LU>er^Y?&ZPF)>GiRP&|B0VbbfDhV-faan{GYstCPEt$}sVRQ?&3JD%?3 zpArHt%*&aUv&0(UeEtb=UB!Ji@`?8({g35n-92m!y)083+?lzCxXX$#t5?f%gX{Kv zF)pHVX@$5h=h0uDIT+kI^W$>F9qoyE;S5YhefaU?$~)VKue*slt1*?aUy9_T&8=Qk z*+@LAIqjnz-n6q^bqJ+(n&1mA2bOMTebkt$;Bwqo#CxQMTQ1}CARjg58I7ac_7;}& z=xNZixI;9KBioL){!Y=OxV)V{7<$**;M}hg{Q1jiH7#f1 z|DnI^V4aDcmwdpzD#1s{MDi)WVZ7zesrvAddB?&>6l;)V zxhl5}TsNWm=&;&z;N$%deDs~?nEy`YwNWYAdJ+E@;!52D^M`-Bj`?QVJpp%qp?Sqz z)8;{cGJ*7y;%UA`#$q0-q7mTw#9MIFtk4Xr=i&(QKv&EwzM~e+tD7sy$ITO*U8y$J z>e=Up;C!qr=9Tkbs~+I%uaM6VWoRF0cogf@Ts%SiUJUvr4m?b=%`2C~G>%iV zDtTvfQ?ee#&2q!!q~&U30FAF} z!83!(RXAz(41I`{slmC#9-K?JN z3IG=_f#9mlMM}SANi|z?`@NdEl>W{6=-|kw$v`9{Z2}btgFQ z9RO~!>R`X+sjaD=r}yG{g$@4`{*IH3xID5l^m=#Z1lwO09}T_w_Ty#yS#EWYv3aWB za`YjSP*1b#a)fPH)q~(;&K3t}TYg()ITxwO-^rVZ`7aKATxfm7QriDn!Q0^M=lobl z&fb}%Z(bbr5%Y(}T0Pr7o9d7ngF5SoCD8M>y}{Y7@zBd&%lxh0_>BS=_2R(Uu5Oq= zV&O3IpVEW;k4DmdwQD)JoK*w3=(qxV(QW><@Z( z4*z!?xEk^ndh?3n%6>n9o1T|ZH}%UZ_&5)`gUf}dC!=4>mlE$l=bc_KFBB@{1uB2M?TG?h|e2Iyl5YcBk!rf)r(W`VbSiGSNt)JuQ+)U zTwe^Jaq-#pmbjrHaD96^8C#qn4#{ASuD+h0}rGq@TXbj5x)F+cQ&Pl+GM|M>W;mdlQxP=7gP zF#Me|ezebjF>|EVn}6$qv&|0lI-(5r0ja(O*SC%#E-O+6^GzMU4u5^AIo7*+&>QpC zG-wI#BnzC6PJ!T|Ha_2Q7bKy0LRFgQ{evc= zUtbrdaj&wE#_Q@B%tKv?=9NecL;Yp1D_D2>`C!Clvrf|cWJdMv=vS-q>{LQtVVeoOGeO0R{_?xbO zElaWaB$R;OROp8Mc|yu0%gusFio0(V)xSrdCDzC35KjG?pN6>VMbYk-o1yE7``!aL z^;&cA{{EDY&lc=g@}~k})?Y>MBmY*usI$CLW3knX;6I?}UGkxw-%FTcxg1iM@~n4) z>UQ=#)`dvihq&_M0&pHYWTn;fZY!WyauxOgv-|;_BS*c{Y`gO;i+u9#!TdD8or4db z`3L1cdP-x&9sCYlOj!@kZ~odFymJxC=h<9vXMV>Z%f;y#$Xo5|PWsbww&g7H34ENO zQsDAcP;<+jO9#MJ_y;^Eh}L!eQmlUAEYja&(Ce&FJTLL-{lIy#n&4_oZFj5J#|7!L z29UmtYd`DHchEZG>=yi$Tk1y3brQ`_eeW9OGhjfV<*Z;{)JHz6LE|#{D%LwYGywgT z4~~J0v?O}IT9b1gZS=#u;*)zXw)u#8zfpZU^@ra1-EE=erpQqmm*^XmPsh1g*MVQ7I`E+OnE!nGKHC2a()$i`i2ye{%EnrMo}0cOU~Lb9v)K=4 zST0-dLR|KJA@obOKQrBO=h#|s-eobkT1wxSh&(hdGPomrRK%TeR+Rys10y)n=qv{}kk-81fA$o8bid(fD zxG9;AdE(R=4<9EnH+;K92^jGUn7+=2DeXxzAPSXCv(ht#jS2PaetKu8O z$Jud(=EKtgt*o8}FQU4gzXm~uC5BkN>67!mncNQNh<-GU)^*4+_^5_wDgULDqpgpqSsXs1cTF0XZLK50 ze>x65Yemo7DytgxxAtYMFXz=D%tM{4{4%T8$zjy5hZ^&Nor{OR@!tTwDewS#;`Q|tlizz%)Dx?nAuO||iLi6&If zd6#J3mg}_+dF3xp^(lP;^IYES9d0@Mt`9g*O{e)^W?paj3`z#qgU%CQbfQU0w%n=u z5L|VfM?RghT3OCFmO>ra{x-xjZwbq_X#y_GxPqI<-N4yn59BG%(eoioE4jnQRRw6> zsj~DuqdYQjPC2LPeT|0=N5A;!##pD$_^lK-zZ;F?NFR&~uXYw(5BCLE>ta?T|8b<3 zmvY{Jzikb!>x_fm*_2HB4(I9n+jrN<{}Fwk$@h4zwLT(_*0tJ3?{|EW8|71|KE>TQ z731P~b{}f{r7L#>H!C)R%jewJ`lz;n#Ea7R$t=X+e3)o_-Sg ze$Bw;HyJdaLoUw&Pa6dvv3C^pmo0|BK6L@y@n_Jh9vz2SJ* z$*1xnirc2xeCYdRf~yS&h_7U{5RDOSJ4 z51enwNBdieVK{e~S4Zma(;eWlWiaNaSveP6-l+_(mrucavD0xkxU;qoIB(H;vh~-U z$AYVX&E$Wib*$yQ|59*mb`qc0XT0SyJd^mhjj<0qTPKh3wt6@Ee}NeF7Wtb>{S%=d zlJkFrrhUP6=Ex+=#p*GrgK(XB)!r{!dQ7)hCohe=j@^!VE3VJS{>djTqCB^*f{z^0 z5Bq?ezX04R+7_G*TZ}r0x0B${2VBPfz>e3!__7Z4{}Fy+8Mw$3tZY8&#B1_@To?H` z{p!$pv6bd0%k2%$cK(O;%PPc@|N6q0ZQim(JB4fPH{`SGHT0_P*6Hx~2?p2sx?|ks zt8t^O-qbHmbr`V}b$0%IHx~STo(J~I?kSwhI>mjb{p{o)Lq6Sd(f;Pu9{uIzeZa+s zmc+jco}Xg%D{qtDSJOB)nj2z$bkP&w{QY5Yw){bF%gvmw$j6aqu->Jb7X==^1bUM@ zmFoX(JIpJ&a2ffRrtfD|YO^Ueu5wm^i@Dcn-#F%pBFao{?&+hp|X`CxGNMHSRpx%a^Hk5(7K zWu9ZutMBs+v2jiBW8@!~^L$e5RUi1YJqpg()A|xmUU!53OmFhJa1C`fov$y4-gPFp zxU&WR{7|{Ema~jNa3^6u@r$m}mdggMNbhk5T&BfgT|53E;3{S!J*W8`8x8#*IX(m4 zU|sV9e$b2RgP@nY62MiHJ$TMHuX|D467;?!Z`Y%JqrERU|EDnR4|$qSL!O&yp74ry zs6KDYhg$ATROJ8lOX9=&;Jrgk*bdGfmLQ)a?Z-nOa0FbqwI&|;Cd_i);0EzF)39Dt zrHbK*Tc-rpkw~QH1oi6hZtrZpTDXbgrk_V#ad}G@t2h0A0au-`gPR|N`org#7x}v^ z!nn)hSFpaMq2Eua3?FbasHU`fb&~3@){LNelJo`Un_02}KJ3UF>~HMc&uy$;Bxixk zr!BEBse@Sqysb|booniG9Id;7yHHQjyDsLrY}ECV)j7rLVZE^KC5dkd#(LokK1A7e zIU*PFsP$LiyWp$dDVBTwjkr2tBkE~xmu_I&^~!4C<{ZcR(n+CsPUcHIz(qtL{H6MU zb?tN|y)>7wu1(287#G>58sh2&jc}f7-(2(_-D)eiakddZICvTIs@VnpYNH>x+>{hy zxzpC4^1t%^HT&804Vnx6wl>f^J$ljeWYn;zlFeen0{ZNc^%R}Tjn{zuZFIWJu0Abt5nIoc*^1 zJ`ts8JwDEPPN@G3ah)lhX&mzwqj5jzJ=x}C3bdnsg&slv!qi@6eZ6%6~y1>aW|!E=$Sg?AtlZZ9(sM;2i!Swc!lMxM>x3J{{r=tha!-tdbt)p ztQ&nVEjQeWw0b@$g8Vm8p0dv`9pu?8JQpdqHRMyFKRCa&Ce-RxYYDF7={ZUi{|L_N)9?JGcWK0Ro|K|~ zoeqSabuBo}`shY9ADqk@H0~vyZ$m!0i$Twl{vm(9HP&+el+F?1UKi(%XgoVQC7YXQ zT6ZGj0qXB`xQG2;cA)2W`RE(y^`IK`oK`G~{7<()olVtu%MrJy0Ow2oqx%2-H`bT- z-$wnNnvC&c&-3@Sdhs?5dXXzPt&7(^x4WjEe2(2S|`3$Y=o3TGzA2}tGd;(u%9xA_#Nh#UfsTl(<@{~nBT+~H< zbg}uQpVteV`J~4{Uq7DocQ%l|{d#FR-%j(^v?z-@I156CTF##DfZhcDLi2xRXMf8@ z#b3$4=6Z1PML`GttImV#1v4qnWh457SElz&gmQTA- z{XIDO4||9CY&J(svp#x6Rq~(vJL)XAmg{eQ_=}d{^6+VJ)$1zG3+H1JxEQ$(`8eB? zds!bd@g(9p{wryoxZR1jKJw4cI4}6@zi1w2%$#iXP7?KteO^ZO`R#HK=mYY=-zm`p z<11YTF130&ljeiq)BdtL)^HVmS0K}3Nk79Ca}9xm;DX6m1m z|6Ui=M~U5ipigmyp3VCb`S4N^;Z`qvXg;&=e#QI|7mN5?&hF-hUY}n9A9j3SJ?q2Y zg@W_O4$|g>?{St0L;C%Xi)XgN6 zUuik-Pva$0~>vxS5A_B4*S!m`~kjOtYM=d<4!`m8SEk`pz2eQi(ddyePgXdBlYb)&ck>Hqk8E&cA= z8T%0N*vMG;n-fQRBhMRUaKB!iMsa?;JH>J*xI4JoN$0+4HagaFzF`G%&w{jm^A5)M zSF*(%tWQ3w63#DE=VrmYCT0+G>e}Awj9Fc8ZLp zcD1YBP!y%azI$`7lfU5o^?mcp{dvA~-PfEsb7tchWqviiR>QX zTTS}b=vl?Ltn}^KKVncsPUFFJtWlNQnBjx}0 z?=vBU*X!cn{;5}+e#r&8s)RQ;lj-{V$4B(p4IFTbt}=7!^K`XWZrq@DnU34dluKy$ zlB%O!WxUSq*FWHX`LXV8y3bqK7VYlDRkZ6D+-|cLLjPVsDB8VE70|By+24Nq%T2mp zyh~vJn`O~%>!-D^Yl3$D$tiBH#`oLEwD$J5(7(Q40^^fAlh086>Mr-M!;ah_e|PjY z+HKv?L)7lt@cnX*!T4->-z%h(JIXq0*Gsuwxy$I^yxxp<^H=R_)Gka~d)1rw=sxkR z9em96a{JLf?LG1%D)qUB_9|o0?p|zLPwn1-wEMSpc}VT%*TT@Nx9v7jyE}dR0dbW# z`7~YKqdw4ik0xKHcCoQH^j`4j|ES$NTkttub?;UOsNLQ4arD_8y!IDe?HBVg4tuy| z3bmW-S8>0IuY{|N+4+KWBDCL8YPUl(W4w03KHM*JmAa1hF7Z#PT?|;v{f~c)xKxKV zxZm#TeUjR}gU`{wY^pEfzODnW($zdjc!K-KFX8^1G{yZgr6}$&5b+D&MYvzR9e;X6muXF0to?o)%}&@Q$WSx?-1 zaA_LaOSymW`Et;Ex~j>&HYC$E#w$smbwU}=JkyB5o4a6-Rr?MYvx@#iv)P z+=f*|-t>}lk87oVRueTQO|mJmD+9SIovM~7tf$lKZ^n5ktgN7yMgv| z9dN&CCDCrrZo+48f2NDnt`8;LK^y@m(XQ(CO-fGXrecqWXwMyu`Zv4Zq1|h_V*#~$ z_qRMn`?S1Vx3z0N<=*Szim2TUZcJ}D0__9TG233nr*-<=*@ z4(otao4gO>OwtVhWxl97mPpokKp~zoi2j?(nal7q!&+? z^ZwDXHuJOo4T;Nq5#XLr3ve?tuqOGq-o?RXjnA1s&oY>}j{6kxh{q2wzt*m*1O0}v z(5r;sF^?{#)By5#?RJCf;C0~Y#g;JQ@=^=due-(b9Omz z_&HE!4&sp`yK4VbY)6J69=#^S(PytrmPT|{6^g*e9yRdM)vrVom)rc{BYcLyMfs3p!!S#9n3FNN>cCpV&AJmmy*$s6i4lQ7Pa5->!yxkbm z%d_8ut5-f;Z;A8UgI_!gt}A@Sb(Q{4tW%ry0JyzB3gZ&%UM_`xz)9r6h+RA{Lmy)w zl{LQOev6mDdN;@FjwHRx)&ktMEDV3O_SJ0SI#WI75yv@izr37DTs-&Vd}`L4GskKW zw-a}=f1&O0*KwJ6zZ%{Fdb#%n>Re>ZITrfEnZT{9jX1^8;334#p6-ZWZXR;hpZdGE zb`D+btH$tG@5?~1_NSjrdU-O1%E`Nh)##PwdTb2oYduj||KwTZhz%ea0r2ZOtR zd{>jdTRj5)@@^RNVB_}AAie7HEB8BP0=Ss@CGw#9H32vEN3(xm{&u97oN&dt9AGTy(jK_`RY_Q2$>3JhRA0Em_Co`u-ZYF*T>|gKrIPl(&z{R|$ zJgy}_;5lM`yUV=aR;*w1$Lhh*S9=Jq1IvJWjdMV+>-`6ATmA`ucS!U8u!p%EIs{xa zD+j&I_?Z14R%hPGX9D@#q#UW*#hzLiuljc;^h*1q9=v_EkWaV03C?w54xdj<)4@EC{`KZj zJg&ePj%Rl#_Fwz&Amk_iFy>YIfs0HVFpuhI3$EK9WS{QUW|H1~6$m_|T-ruH}f$)D@3qD@9eDHCS4mG}YN{uqY+%8V@EnS6w)34bqO7}lNo^bzN?TMv%2bW7BO z+)_21^fI3JXVuYz-bR1L`#|fo=k?^h=vVpVh>U$z1-#KpaFcEz^zOg*oygx^;{D$xeh#jZ24jB^#Y!L^_kI=P)Qd~>BfYH8 z`+!&O7{(=gWk#OO?1h}4lWFJe<}ov*AN}(H{S8CHh*!uw&mm;~q(8!=y58u6%3Q6v%E z4ZO+msBXoG>uN#p_o}Yuee6V!Nb*lT53>K#mi+$dRhSK*x<{ecpMJ*UbB#t3H??wr zn{Ee?H#PYH)`gw0mHYjA7Uy$D&;rt{0(@>X*%o3Su<{hn13J$C7PZShg8N??jOV+W z{U>~+J%aeX*Zry>o^CI}^`RtieR^0&;(9<%#3LI|Z{a69uUuW(NAZq90voa!%nPX@QQKY$x`qcw5Wx-+<|UkW~=`J%$m zFI3=aUKj3n?2gXlFGl4;JSONm`!|2Jg18Cg`jjuvL9cu^g%bB_XF`75=2Dm!nf*T2 zyS~{K<8^`iz)jO5$fwxJ&m*y~IqFLN-gh>|<89i@^HrlW`^1%;NnFP72Dfeh;&@I? z#ko}cwFdFa_q8yOrr84QC+?37(2GaI!FB41k>b=<4zo|lU*O`I4j_N?#|w;Cd{~V2 zA{Jd*PI}clE9;N7nnN1dD8-_9Z*b&>1DzC6Npl^oO({&jnEJl#{$ z;yF2ie6$|S^WJqa#%o9T@cO;VdC)Z*qW(>h`@H|>;P)MIbrAEQ*5k?FzT@YzEw}^R z+g}KImX$W3UtKX9#^w5@hhDE)%>4E&aFgS46#3{&(cpGdQ}(~>7foFJ!tal27;~My z_b}q7MhEs0wV>B;attT#*75!z{jOg1PyOs|?E`PYTuEoGr))L@uYk^keqi&7{w?`@<9x*fn`c;kcbH8Kw z{3*YEh&nNeJYE@}j^}qpyV2xt-thdYR(UXA>dTFtiL3h#{x0?o;uLFR6Nr1ylEA&i z{Jv~6$Ib=6bdKYxS_gV}WjdZ0@-&~H^?HZrm%Eh_^&^{A$2u}UkKp?G?m#5sxmpoi z-z*4j`)rLME}mS1zdm1%^)n6*Ag=8T9`DBHJnti?cK0WKJ8l2*e#g4gzwHgNZXg{55+usqa%lqkGV7edN=1O^MCUDk&hew zC;VN&WX|WjI*8L7#qXQ0PXjzhT(<2)DEeju!{zDXT zGjc!lvfyH_!@Y}myoJwTeVOncs6$tXpQlzwLa*}fiV7WexVPI0~d4iAaCO3$%VmE*EIvLY$&VG`O4{ zJB)nHpOtvL8x~&h7Yg-Dqos%B>mB@7mc~BYN^13J&I0pS^sK$KuS&Y{# z2uUQa?-XGFawoaY(?<^?uD<99Zg>C3ywaIK;<9!UxcTrWxanS{T5>8E`Tk*kd>ZS2 z4y#MtZOhAfC|)02?5L`U%UspLZQD8u6&6e(dvZH0DLr z-PDuDKkkc1$g>TZ5=Z`GLdo0Iu5<0=`YC;6GJJNGgf1xt3Ma#3Q;f~dU2HFQJbDcqCMM5<|)w}f8fO-;FHtA$GaNDaSk1#iJQDNIi6-u z5s&w6rfJ|K`@=`J3upbn3-A}yPl2n80(yP#PA}4niE-dAYkuY@GY6yJe4ns?w~XMT zZ>K2Ys<1D(o#qQ}`ZSM){!uvVe`?PCR?0hzxM}*B<5`@Y_pt>dBfzItfnKD{gpW7y z$DfFMSKhHtHU7V`^eMlRxO<(*{NZWn-TUAL#Pv7#;BWSPgZ;#uFWn|NmD^=4d0Y!K z^K*ITNYuakzA493=QnUU>u3Id*PLn0vlIhYeV5_ASU23rKA(4DpYc;-$lt3q7+mlE zm3`j#9#34g`x#s`-oV`V=V;K*IXRK`ARR{5gdyqf%dftdRg@v9nrmyq79VD7c* z04}?XTne895y*o*I`N!;s?J>w8b?>tF&zH(!CJ1{D$&?K?V4HOGG-xsgcmjgKKo~Y ztL*i;-^VLB4?!{TcYmM3{@}JY;rWeE`+mfC4!FD*W#Dt*jdPmH%5|uG@8f$e(`qW>v7`E;Uwh&v=QH1# znHcYurSS1GwggwJrt`dHn-0BKxjgzczkbd7$16FX_m*(K8LBNt{Gq&#WDPzK$kXdl zKkli9zmAULJoM-H9W9rE%SV&I^)ElgU|b)2Fh5@edG_2uoPXp_-k0p~ebAe0TYFHy zve!Q7Rp1@wg^zV2AJuv{xO>m*R~&EOhV97VqVprS2 z#Kq-MaFJ;{^Lr&?p)Xt)T#h=z{eH0?>stErzN!um$2m=J{$e2MbrSoyqR+6d#ei|p zdpUyHr(+zr*Y%%?q*woS0N1-3u>Nfj^tNsba62tK?+=?o#*$ucp9?M`(*Ex~qH_ds zGlqZXpgKQBobGgd6mb{54tiH55Bpr05e?pA7r2S33vRQiLBv(53#_j_7VAZaGzJ$j zd9aRLiGEn`X4dhI{uIxemC&oW6P%w~JzA5G?z@?Nvi=1wTh;7}ey`R7*UM+{ygzw? z^<`4Vvp%>9xXf2mlU`ip{EMo6z*SrxuD9pQq4#<|$NuI`e^w9r%!2FrRUO2sdQIu( zpK7DN4WuRw)GnhpF!!tZJXs- z7pmc*_SCQR;os4?c`J}lukGgYq<6ukcwA0meOVJSh4fypk{o~MUhwzQUBkMTKeAp- zI(3Tfm;S3UzbaiRjwiGdo~Pzqg$ZbXy9QjnT??*a$IT_Kl3KBUH-3LtiT9(3yIR5Q z<6rGOJ~v#BbAo!5?0Min-Q|A&O%J_Zle~!h zZ0(ug?wTL-Ck1B^*Y#R~+gww?ZO@#eiJR>Y;4edGgS)9CB8jU7T+cEl4BTrU6hhqF z%JEm zoKM8|uQ?BI8lc{6=-kERBlAXr8_^0r^3_q3Vtf{$7jzJdH@C$4kbH-+Qb zd#Ww@=)rv6lf7pmpYBw-zQj$oMu=0li-V81=N;!Qk)Ko2&j)(j)aPf?dkJ~bul)Ws z*YiJb(XY7Hoabxlms}^eX2(!GqGdyHTl;s8|5lxN@{t=h@x0XcP`7G4@AK~X7I5z+ ze_w2e99l*`c2+_3>+SR4Bd(YFmAE{@^ybgXt zNpC+H0)OXM2wbl483um7Gq~9HHMo602=l8d{sw=qC4c{`cKp47^ydB`=uM8fT%V?O z6md6m5x6#;z;%a*5yZu5&X0b~-L5B`P?P$_5wF^)L8gj zN!uTul;wG!nsXg-buky>w6D|V>pXu?e8brPXdUF)RDClK@w8Fk&b$T}h0kGqnd)od>`UJBa)?t0zG3~Q`S6!Z z>!V+92CpME@EFErU&XH?e=~;XU35@Z3u$C!X9w3VHvo+ z6YfF3>IAqf%jY^%vV2$Kwj@7)ZEgX*o-``2e=65AHz5D=NdaEh8-kDrJ6v+VIbWcj z&Go3U$;U1^!1Ep% zhdL3h9>=K53*c{+` za9c-XUor#N;&%mhAD?Hu5&Sz%vtdC9#bXZnAs+R*CFVt~@1fxze;od9a0cYZymlQ) zFV^@#FFya2>oy<&kU4)p-rLvTfHDfvX-{kT;pbZvpsto-gz4 z47gc0W+ri2sWtng1hRfZ{37CJblUSYx-QpeRNtch#7oYHUKeuM_w46CHX^+$>A>yn z?cn-(p>Ihq{w{#{)$VQJs!;KM#BFdx9#`yj=A$?Ae7zq4?jCGMzasX+Y|^_wa`Abf zJ^w$@%^QgQL^p27`fQ7_zPvearlQ}{#hK^e?3j|hg}ykS zTlB_<{M=dhb|7(ml+RK;NZ`U6~h|3nAAx?WP9nVX#tsCLL zek}TRw>}`x-oc7^AGgCRgL_B#cLgS)GS;29vN7}h{QEI|Chy{8>i7D$9DhfCuQZj{ z#1oe-8-d#&Zoyy7=HIXCv%KHRLi|0l^2>$yGMy#u|1FIxp+0TTqu9fsD@nNyru9yCMxp(>&#@)fyV1a@j2689>;l0`YfE{)VX;b$%s+B zFGXgWM0%MVfca8+nuF^~3&B&H{{Qd)Uex2r_)W;M|A%&^m}jf@mK8Est5nh zQGc~I26eS{GV0!bTLAmKPWfgmaohe9xZL)P_uFsxGq54~o4Kd(S;&8Ry-z!g=ZKqgnfVF+U64+f9saW6 zHynTQ5%BjaJi$Jra>Rn`H>>y>>ED$6T?zgjkG+)*{wlmy3~{yjI_oCy;C1x68L#W0 zwEgRk>F`heSs?GvkMr{V-}CQk)Q&#G;Pas|xM@@wS1Bn7SUr+_rVciy@)sLF(9&6GLP)jV@R*$&!sB)`&TaOSJsR2{_uv~ts|kgGVUSTrx$)fR~b>|0JVG9YB~CBvL_|d)y1wyKitv|PpDmFyUh1L zt;>0K+xe1owpET})NTs;bAO+wMqQPEz!hqj+txm#cGWro_nDlj5Z^^@!2Pbo@qeh@ ztCtCN7YmQ0?)t=>OLV_!y!$EcFJ(CHpw8%*9$Fmti}s<1sa=lx3;CLX^DfYRx>+D$!v@g-kH?rkOMvs>eb`^BCs~HziN1eCLC2E%mhjG7KS}YB<%Re@wPU7U*t7w1U zf$#sRFxt)V{hUvwok`SgM$EW{JW3ts`#arP=}YEz-2o;Q-`f8}>*7jH7nrgrt! z)@RhNm*>U2^t#nWT$wB5Tx!<`-(lSvo&6&DyS>MkDjrbf+^SKUMrT`>b2c>+;S4_{*rh?2~gL=B>z(6aMaF70d@Q z>L|FLwK{_G@+SSn`h1no;q$}ZaTHhlx(3|r?0%NGdOB$qaouASxUBQ`B=psP)5O)p z&rt_adoJpryX8Y%b)+D;2{_L6DbNQ#@+|9B&Rfh6R-Q&a)>j02Ij}U=y{naX3gUWS zvCqIk%vZjdinxiTIBt)<;POq4>BMFBvaH|tIp&LK-j($k%YoaYOToP-1&6`M`-pz& z1>G<%xaTHY633uRcuULJsSXS%XS3!Qe6xrA9JAy>rdw9{o~EUVZ=qQRGjCQ=RCemAJio- z=SH(n_uUvr)3W&x@)w`BgX_H8z{U6i{fNt(O~9S|4_r^Y97fzUEX6)~{NV4^DOHBJ ze(;pn!Tcr2N1Bd0D4C1&{g96oeXy=n&mqCY?eAZ}$9!A|A6w+d(ZuD30b1=Zu=-#-aH>h&wke=)!P7$50V^SP|L1Y`bqaeFY|>@{8&Vkgfl z9l2#D>2>r%u3Nh0(ChdR%tOyca{he6`w?Uku5d2(+zq4)SfyL{w+K6 zJXtyJOc2HMjh}~WL_PS+g%!D9y9%M6ro%n>*w0RZn}SE{laD%-7J6&rP-itSp$2hN zc_q)EsDa>aptlkJ6-Prab`L?ngjzWpK67{<6P0Fyn=c=M>n6eMKYKEK%$0_1N$(Zu z!9Mf)v%h}To4EY_0?*G3w|Kq()jAyd>&>C}z8=c;uXdmJw;?;xFO};q>pQ2z{-%H8 z=Lm5&9Ne}I;QiJGKrhn%j^`D1qE{dCx0{zBuDel+>!0n+*dWSt#%SnelaHtAvuslb z^U%Cq%JsQF5%m<|KaZexy}k#ySoa0Ej@|J+adGYn@^{nLVE(&;*XQ_%hwyo%``!Q- zN6*Y4t~$nYeF_xfx-~B!OWbQc636hhFAw_-e+#|Z_W*It$w1c2v#6WxxQKb-4&dJHRnf@5ANN;h=jUHBJ|+hFJmWgs zfd+ar)NdkjwQf9oyk$x3^LZlb;Og?eB(65#@$FlK_4#Y_yviPodg|5n@LZ=er#zq3 z8O!7NSz(-a>WGHF%HEyxuhJ3crg%M)HRS-X4a43R#)S5;p_54sSa*cZTQ%3 z9(+`rHy9VQ`B(H;orp?VFB_tQNZ;xuxS2i>`;{7+u^aj5g8uNAy`s;O&P>nD>nkD@ z{^pAi%m)=PavKfp&_*pIm8QULY=H}p9B%eq+aE>{fC+hc*? zA~2ZG*;#9QQ+&~MJMt96D)Ro^@Nz78tuHuk)!jH}UET~`iQDV9S-*P-^O<3I-jjhX zSU+V4{JrJR(J$MvKe(viP*0cGcoFr>j2O-JIlK*VMXs-T-zakz+|FIX`IIXv)&%TPe|93xH|7~p0j^Jo;J&w0mR** z*_>zWDfCMh_{96|um#A+J;}}U$}es<#Z~pUavcgpLhr3QI*z#a^g8>j3}b!a)CO?} z2XNf!C%9i}TVcKEfUNM*d;20EWu|R{&(KEDo8c`u&u;IAkdM$++5c=A`0IgH#u3-8 zGjSc#`;d=lH4yXAlvB{lz|p9`TD3Q2-SNJyo}a;ckvUvp3&nMj`Js19W8kC0kM$>R z0;Vxnnc*W_S4^O|u0$J-8*?7>);98+PkQf33vg4l4xZoSketim|5Xe0SIw8mUremK zinyr#8r<&42OqO}!cyXLZ(VRRs1owAoqK|-58N+t_&4~w#~C9@uaDi~JiA1*|KxaT$lpBRQ>%Cp)k&l-&C?)>~T!+Z&A>c2Ug6kvqz+LSj z9&r)f9sZ`;7T&K4?}>o_8=fa}b{Evy+h1=k>E(u_tk0Pl@nwd9@x<-HoSf&qgWRu^ z`>-zL?>i9JMg9QpJ@2s)`dzc2*UOjiJ}^>XACTka4Qdy61^m4|!8||ZA@0}W)7-Dm zr};zYdjhU*ZR9$){iP#uH$5}^&zQ&kjji4nylD)4)$*?3^4iGh#Fg&`=Xs+DxK}A> z9pd(zUpemC)ZprFNNZm*_sUEL*PAke3;&pQ#BI>G;5MlW>*t&34eqTD2e+v* zcOid~gV&LF`X-)3yeF5|5H}T@Lob(JfnKif(}%e3n-=x)PFCP?$$E(Q)%0C>T>2aa zw|BAC^JF*bzrK?z}%SF8V6(+p5qraH9@SAs??% z1mfyr>(O76J3ZE~oo%^pYnx#H+pSx$zsXcP!S&G*;BHRASc>a9ZexAlo#3L`gDJ=- z$IsxRU3T72KAfFQTz^bpzViog(RIfN;-UwSi*45$KKl8fQN(ShaOhQ9=IZ)_(cmva zn6Ie|z4A3010TOU;8I_|6qJ0wI=2DO12$(ajF$>r!t^1Cj?y}cKpcSr9dPxnW!rNqs3uBU1h4X&mS zz&>e1Pe3p0@^gZFKMv=Gko&VrQLR_!YjY#r$mqA=jIZk(6-IIFf^5jg*4vA9=epFv`07A^&hs^Y zZ)Z-tsYiObWhQ)d4hOww$0DxWaT{Fzsd*f8oWcC@b`9jX%|C#f7insdkA8a`{w{qS z^3-vSk*Dh35L~}%fpf&`+Z*fJmfOodN6+wjoDds>eEQ{uUR)^8b(mRvB>MGe5A<@x>MY7Dr#&)+A=87mi)-knG}XHT?4J!QF$^N5?F z{2t+z*@!xbL4k(2sKEWzwO5@BO8zJ(#N#srTZq(E5ZO%M2gCy=Xs>XHhkriC7?H5E`lq|-1?mCM+UFFYz3QET2Qp$UQ8IStg zjn{Ba$=#FTBi9awUZ*RKbt;>zV_r2M>(|!7xagb*!EFqWqjz!eQsf!RdR3a=e^sZ7 z;P&k>=v}$>@X<*>^Y;mVp90seJGhwPw~Tzus6_VP$?tbAXDZ$|DwJjY;Az;e)Uklx z)Gu9~-xs_*o4{SOtgXn$3+c%|Z4ZKL|Ewd4%T1+GXB8g@?wvkAkbKm)S-{PjzU)7L z1D;pyx(qj{-RynNbxw#_L_V%%(VO6lc47XAhyA~!&+bY|=+(_{xNbGtU_bQs?1bLC znf?sv>peZJ~sa=MeX9oJ8<_X z4fB6@4#$1DiXg7OSpwXgd4qhs#eKkCgXWz7;yXBZycLf)pCUQ1kJ)*xBjD4l67=fC z9QcT>w`USJzr6zYYW~V`YouRCT*fX17dMYHzv#D+xE^|g^ITX2`-%Ir0iFZR+7`?= zX5;;>W_vz&{F*SIwhi2C{SD@)y#F1z=w1?BcU5>E_B#Cxu3C0spOd+xeaUgX-jU$; z9RGjE>r*(ExVthJ-0ay3z1Wp&G;xuS>#1s1<9)k-^Z?4=^D6kV4t|Q*azGb z?yomCnB#7lggSU%j)A`(aSHo`%i$M8{$hDP_{gk_n7<4&$n*Vua67v^^0AW-^aU?p z4LH~xmMDt~_VfAErhE*_dpJ|Z*>Tz%gjF4k(T$Rbk)&cRjwhpDB1|z+ua)P z?;`9H>+k;wf4$<)VDd4U_ko)nJHfp#7jz=-iZ(+&vfkfV@1{`kF~rpuv!GXvZ*ZO8 z_+wtFUuS}QNBI9)ZtS@6zGS`Ea31^reU5!5w46X(K3ofKr`yE6cpcf7 z{9Iud$723SUo_|Wcr@x@3q<2N*7RHn?)97wE=J~vru_Bc?#$DaM4jC=$=|of`~xnR zTGp=#??rLN``zsSf}gA1#4Vl3N7nlj+*bJsdKI@Jg!Eo?J8&0#9(8u12Nxjj+E~`l z=XGjlog7BoRSRdno5xW`I!#>EuL~{*9f!Z!p|GyKlKi_0oiG;9X=;1Jp`^Dt*+=(( z%IkXnaMlMZ_=tP);I8UX)JMK+&%9wHaQU_l^rCf2oiAhu_nI}Dg#4@Vd11pYAs??v z=?KJq$-i^3M;?OP8~yQIYA$Tz{7dD5k8a(2H2SrDC%EpD^8ON%4Rz3?&w|^(Ci8P_ zqyHjF?;hpCIx^GxV7=?Lzi$m9-i_y>_%@|Jb^5h|f7V~&UL+xtt z8_sk53akq?F0>QH)rm>q@*F>ht8qIjlHP9enAa+Xeax#i6VJ)=N?~x7F`U=q(J%0x ztM)N>O;2E5yUN43{!NP^A33@jpX0ar`&CzDEx4+)0o=TAJD=jp#HR2Uk?p|s^x@bK z&B0FGukO{)kxo~rF@vt+Jl9!$*O}}2ZP*we`GgGNJcA>69aW0NIPtNDiGKVXsGBUF;Uk~N_mGeHsw3uux8(d1_@Ci@&&|z+ zI=F1jz9(+d@wp@RH|Kd6(0dvA=)MCvp93NAF}a81y+h=94}baM2l#jiA-|B1OkIQX z40(b2*aAb_laKg(0l2Qlzk5+1AM_{g?(*-f^oe-*h$VkxAGU}2oD#kG`%=~8;XKky zUtX+7wfiN;#k9GHxT-)f``^unxMFddXv#-KrtD+g`2VMJbMYnQW4_;t{JnPSGU-&l zV$1mY8@Rsp8TL0DxMMYOJE0)r+N3V1gUXv}192U7oAm<+V7;p{#a9t`&yIoHK~pjR z<+wojxXP)(mEzyO=oY7WKCI7y{Jlf{QGbzZ#C%_}k2%i!o1VCX<91Gq^Gg*y0v~Ve zIiAnYI^p@j20ww1kb>vuss#9}68pJ6(~5%YyD& za;|g#w5X5Sun|6X0DqsR#?_yM{(fB(dUv#$qtDv6CZ4WlZX~#^_YC!vg$Hw<@q8|u zY-Ko~=kX)q^L#Mpzp@y(S8eEM;@cAp$-r^|7V+|K?us8tB!hXNc?WH-p}5b^vi@#$1T268eJM z8#gAxzclX;@{i)kM_0YFnYde>6?*yACD!+z91DH@AK5>lGR_@u&FB~(=}U3`X5wA0 z|FuLsZ|ISYxej@XL$3>%`x8-w|G(yyNO@no z9S?t%#vkiigcjm;^zjh-W$#T~PyXVs;arFFPcaW|o;1Z5DS z0QY_g;XJ>|fOEt}#xp;#5?t@vt;t8X-vI7ZL9Ro`EaAlMKU=^}H+~NiITICeb-@R2 z->>3)ykgzqQ{p)L1Wg5ZLq>H0ulW&N@A-sr(Zgny3?lzUTTp**Zy{dSIohHQUiO0Q zzu_(Bvu-hJ68VU|d=A=5hk3poo6?1RM9V2+57^&UA|Eqy-M8f9 z?cImC_UuBQCr>UcA|EgNYn&H$DSxl7qc@?>Vm0?mXNu?g%x)1vdeud6-03O5gKF31 z2lBVC_&L)ynu2}FHjcyZ3S13-&eX3n@Vtsl-<$L*fZuc7e*QjLRvW01&sY3D?){k# z^^xsbcOt!uPS5jpLVD!my{$Qn^!jN4_v`R(%pbERZ4daY`-D7Ixkd0XkMC6=AGu%% z^s>QkT>sUj5mzoTtpB$Q^3=g+74&N(nGZdUe#zXIF|X{99`JGJ*I-_mArJ7Lt|Ln` zpEZE<%$zit@-drQFs~GYagpKYClFVm_rX26lk;r5*$@})W`dh{1EE(3pJARTksa$r z`-)*4-S3aql3q3|&py6zaJ%qjU&I~5`-2oO@toko;wSqk?%GiFEBW_RsGB{UV}bII*hQTtC|NH)^81}lx{Q6#<;vfj z^loz^^j@FsydSRj3X)z%HaQ%tf8WLQu`WM{(!M|s-f&9L2D{tqx=~m1o zz4|H#>SK}w`fGn}f&Ii}X~p&2vJ~q}wp$g4xHOSJ>?u}6}OnU{4)Yv{92ROMc4nP5I2(db90~;xQyw@{soIbZ^Ju->sO(8 zKGDtidC$i4|7FzduBe-7$9i!h4E>e*PJ8OF_aqPJbC$o)^a9%qLO!dC^L%KbF}|wu z>Zzo+`D%lEt@wBPx@N6u#Q*>A|7HceSp~7qok{s!ZS!X__&s=&K&%I~YT{LzAIAUk zaGF=%tH!*p5{hG=7YnA0B<}Jo1~WObs7%dkpTgz31Z`6l=$W3qStdlrFtXQ(PIl4C~yz z$jtlyuKjp!w_}@f+|46!^#Vp>pY*ET#Ag|ko%e@)CBxCLva^tfN_d2IXEGLuB5q}W z)Xn~$2mbEh;LxCCZWrT^8c-+PtYzp+=>Ao@E-BBoMmwQ-jSiMJ`kSNg;EkrVU2q7VY2&1eTv3grFYxTOy z>SeI3-d5dJp3HUf7d&sD$D8|;?_9rY&YU?@e)nyDo6fD<`KDoG*o3nF0m1!(%GTp$ z8}zSJwjwXve|XTSAirUKh6nivINscENN_+34<6_@A|U1Oa@A_ps$Q{tMLv=LZ~tXw zjG2!g?s-x^W%;33+^3jV1NLc4Dq+S#6Tzu@_v^t^7+^BLOXN!x!BruOCc#?Aqt8YiCJ&@SNFw2yxkGQ}Dd% z5q80~8(9r`V-+x8#VuCwmP^E^4>p=+1jPGkJ)o6c)oJ3m}^n&Y}%D8^x4AE$P|66+kdPXgz; zPqU&Jp66ZTKD)nV;E4^%DW5DfcRBnm1Ms|fzY*;$-{Q@VvzBeXbDyHm)xX`RYJN1W zNcl8oFzQ5a`uMDo3zXHBjih_%>i?4f9WOBhzYzfa-5ac#MeDO z=eQc?GtqIeunyu;Dg=434+c^m8`K4tx3&>4?lsTpZDMU2*P9dI`scSZ9XAgefV06_ zvF>HlED?_D?2SqPZ!2(nAoDE8S*vE?>Xrs)p3$=%=Qn;NpFHouMa-Y@X9J1b$gtZU z=R0W8Sf`g)i<3`+59Y<}E2qI@o?yI&wWs-tn;7Rf%jJW*FyS+iAG`cF4Zk;Uk!M*g z2j-Cte&%s{)8#i>eVWL}y>DGn+WCw$oeR2GHC5)8S*+4h(U6 zJH8dIrxo34yi+o)bexYmM)?$Fh)+8d>A0Hyo_vBXqyCN8g$d4InYT1A&nlsQST^tZ zj`R5$Fps*%NpSH#YOdqvubq^)GE>3%nM$Zb{$eh;EqI&i@P0Pbn+UxOF0Z~Mf3J_U zE>ip$dI;U;jCsc>G2m7Jl`mf37j|`|Ek^K*>Q=NE^d=?I+{mAR> zN~hP4A0rR;vBtcZaW4va9KY2HdOgF7)_b02Sa-VA5b|%C9sc%fxdrg4miA*y$Jx27+Sqi=Lz7v2JJJlU8y0C>#Lv8uTDHndC;oA<7^t`U%lxBe|4lS)s^Qq7mMg3G$Juj&r7sICh7gWFFD=iPYJ;P(BTzs+N)U!4g)BHQdxw2xX2J==Zv zg8Q4NYck2{g>N$Swqjr8Q+jV1Bd3S}*UfVE^a+R)UM&pTVv0o#FJn?pko$eJIu8rW{yz)_WxBBYIJuPn7BpeTEs} za!Vk%s`w@Z{9_n6i?0vPHoh4O9djx3Xf_^}NX z|A0L>cl1o+qInnMUe)QGnoj-N9YrY42mj7+@yOU6h*J%y4bHwzP>!2llfdn=w%|hE zp6s~pv6}Ry!btyR9rhpn*An92>;%^@2SKmCZ3ixb%hGtW2GD->r3>mo6)b~%vQxQ! z@uc|k+H`N>g95Bteh4}Wb)404r#r`G|#{?nH zgznJGKIz~iv#-Fs*uK|jylZ=7z1aMIbbj401RopH2K$xWu&|r+;W578e1N2Nmn9l? zWwuU)zg=vyI@Q^h?BVmvmd^`jtt8(66qvlj?SKmRRU(22h!|KutH2L=LC@OIdpY}W;8O5!{Gm6+a#Egi*H3VqeH@E;Y|-`bXNS%Vc3dA% z-6ziufWN4pmd0D5I>n!{A@ZP#1cxO%pSSe>D?&RW&*t7Y3!IOt5k>JtpG3d*>aET=VvUi$0^VF7%IQD4+YMgPU@N7NOs?bpMp^W?>)T^?J>4{mNZkaE_>ix6s>T zYAp2Z5q$W{?HCtpIlCVEJ(3&!%GkN!A}L=_$Jwb0;G*w1a9-qKpyS+UCC#I)M|^+H zNcd;X06l;3^%8uac>B0d8Fmr<%71Qy%WkDwC#P^Nex`Vm{sLF#bO*;xdis7z7od3; zAHz#J&cEqFKDC-qoSSMf!^fk41&Jt*PT{Qaoo(g18zp11Q(AN^m6^OhuPty z2hYH|)4ahNr)T%6e)P-w7_T{&v!COLT#glOn@k;%XAGYZfxQd|n9TPO3^ey**%f_QpVo)t9?nbB{a-!&fO$7@<(i=1<{s$n)7+RB`~9fS@Hs{IE50W`;xUQa z#zLRBI`vyFEx3H13*U?BR@|`LKx3(DM!#Xx=lo zNpPIE`i=O1eZh@sy%0RxYx18|1zetOiT%^InF?;xox=W~a&JZb=-i!9Km5vY^sDpL zK;A_9*5Kld7u8SMTVoJU=Qr?Cw~K?Tj1_60)VaV}?Duqze0$c{lM<)46^Zv>jdf=) zW*m<=*S7^XJN80v1IyKQ+^k7N-jx5Zq;J1@l;ie$+LzRSeK3!@QPB|aYcok7bp@P1 z{8Y_x5&Ad$`G$#zlRwRdICV^aaMiFn&JkVq0^Qr===*ZnX&c4ke=f}9;@MsadOe=T zYZfiTeTikhiGD@m6wI$M3wt;{@9+fcOJ-_;I@Eu+h;^LBM^c<>4fLwW?r`WU9-#Hu z_B8bJoX<+fZIg%4%gi0X&8%j_l2f?wO1)?Hs)c#f%i7R;VgS8=sUCE{wZYHgonDnt zh+ovKOZjY;i0=VJ1$w`bPot3s*1wl_dUKBM4?6Q~s?X@xfsV7S^xi7p`GWK58&T(G zdko?nbKZAE;yyj8fRp4W4!$+tcw0_I44R&09pzkF_(?7vQ1;4J~>64*n(YuI`yXHxD z{&&()JvuAAaDJA)e-l>@*K*u!@E}gLV;ka>5AJXF zIKGMYF_YFG`DdL{zh~IH7C!7tN9b8>9jsHngWj*%;ZK+sKEe<4!qPl~UN&w3A2T~K z!S$=VkzRbE_g{7(7+lVqPx?<$r0?5ij?=5J|4_eP^nE68*MB*9Y5G0OG^RLJD-Yt) zFIzz`_7B6n2we>4uUa@9+^&lOXLWz^flqPTXVl_N#B(*qzM)#RME>pV0pNP#2HZ>a ztcu|3%#Yy8w*u~gEU!2AAJgb2@^4QyUjqNX#C=c7IQVq>UWnZaobCP=Ra!u=zLv*$ z`KaK9POtl1hF)*UgZDUDwaz-HSFLxD{%8pG`>e|t@WPM4S&ks$I|9c$&MFmxkGR|& z+{E9SCufXRA^4B>ZL$A&Zo9cYT zyJ?7%^=(D-exP2E)3ewb@Ui}rkY}6g`e?^x-2$i|_GC59`%}*r_#c}MAKl|6#w#N@ zjW^E#aJj1*)~_ubiT8Kb_g~WAUrY15Z8YLn_3nW4>#M+7*(ScupVuBr@#H#%_0Ahs zqI34Q&Csh?e^9@dvY@WC+5#?e_P}`c)6AjCZd}WDfwTJO;iF=PDaTdpX>dOJ-Z|Hw znwT&OpFd5dJa4A&UG-+1WH*XL6yMFcMTf`^O?ooWbqW#4FeGr^?Dj4iIf3XjGQ~DyfJv?zNc)$tjcl$?h`NxLwj+;%F!Bs`-SI-@Z zJSh1O=|h9CUR0e6@E7ySU>%tmL0Ip$=-X``*KhP;>bKMmiYKT*XXmfH&w=Z#zY-5C zBpnw|x`V5ba9UsfnNUCK&I)jwy&j#L+lwftXO}4drc`%u>0KClR?|Q)J3Pex#=C`8 zcY3+LAnI19uY)+*?E3vYDV#r|bB%u&LiMnyGxif!ye0H(X1nuFXPa-N`kzvb_@03m z95)f~uzuO2!o)w)x)AJp;rivxDR2DvT$dfQM!!5yRXR_f?uziF__L7T!A-@D#0&L`bDUQjLOy>t z17~}4ggCA*gg~G2g9!Fd89r;S<2H*Q^rn~(<#Xwsamgv%+@Nz!E$f54vFAPF9GBNV z!ADO_L+49{gyryWz7|}}tO&05-N!j@hYSK&*(QUtodI-DXp{lmu8IH`U)N&awtM$b z-VXL6F1{P&{FyhcFFCR-xJ(!!9JdP!LT`N+V!S5b1MKH4DLv}e9-;4b_0_!zPH&#B zrg-k>M;=&#$oY=*v#I}2Ai56Kr(e|aU)@wghrxv&fJuQ&a?Fxj>5rSpqdU5kE2o{0Y7x9*dF zu^Y&nsQq3$Kh-}sIQORSPh^%rs<){7@Mi-H(7cRj7UuN)^HXru@gCwgJ@z(s{w8N8 zjMpSBr#u(fLUn%gAoQ}>S;Q|I)yKWagttMzs?m?&D!Skz=dVjdfQw;|kx%omDdIF4 z_rk}tDvo&M-&@8zy$GB~@yy8w&Rg^db=>x(b4{nA?|)3jKFV?KeU!#K|1R<@C%;;P ze)mMdhuK-kkNof7aqwxpn|M-taGw7#)}5*J09;g}{eg$}3~_q1?;H5*D@`cR3ooHx z+p{{jtw6u$iVlybA)Yt?fg4*D@rX~WHapJdR|4nD>AhR`9!dMy$3ryUO2u&Q=#`O^ zlAV4K#VuB3)8dvw*8yx3PV`yH6T|yno91X&gQ@CkF_bc)G zKX7&JG4dlr*F$fo)j^!H>v{S;C@r0LI$}DwezzHV7Ls~i|HP07acMCCsk4(6M{L3>jh)47*6YumoZz1wIb)5WrM~6c1|2J{3$;glXYf>|(XY)&f z+arx>emi^{>-1{QXwsJs#=ayMe;ehvska>5lzvC`Hsd4CadSKMzF`IC#ZG(??)+1} zCxl+?`UmwO_g3!ae8jloh+qHw5A;0NFUaZjU|(<*yPforlpk}e2sn?Pi9Fln1>E_t zvytGU%LZ^hWCzx-Nv3^3g|tU~8m~G7ot`hAk9cHfgK^nXgD@|8Cfy%I%o4<-?uSr4 z`!yl|(!DTV)&15~7pG}72wYzoi8>L>&tacbL(*Yi6@j}EkKFZCJH4nw_Xi%G`W`VR zBhEpVyA<>+V=2s|?Ohq)1K4?#PkFE_xXzsVyV5<{AI!-+m@nS$^Heu36*!IZTzehz zX2xb%?6|GElK4aVeVOg{jdq-098P)2{u8a!yCar4F3$G_=gaG%eq_b*Ej%gQ)Jwge zKe&p0kBdp!oL;Z^Nd9~$@x1@Gb9!;2Ch}ue6E_74Vt!2`-3Pe31-*Sc7kQI+W$4MBh`HhLP=|c{bGrX5p!al9GZ}hW;{)c! z&TS37u9=tW+_P+{^D*xOz||jrLT{tv;vLtesLpk@($MQUf6qX_pPNH3OVR&7F~MQ* zmjMEt_iPTm;InZ*Q77oWCwmvA@lO12yvOx>fc7!jxg$7VzP^v+YE4awbLkjxacCFr zfpW+Xm=|?tJnc&pcFuBoy|X*bdzaS4yY-B8{Qv*`-^>7SPj#kl(0ix)ae%`A2j4=! z!|_e~@1g!0o*AEiksu{^07`7VQ7#roi0fBprT-sb z{>lz+b|v8Z5Yyoe?RS|C{MqBdq0UEMTLjLAdcj{Gj2Z}Demc0mcoyf2-C7Cfmn=LN zoL9Ywb3r6G4Rih4A?q)?=S=Qg7_Zv*p}qTCC1wZLBR9ccuBbf1>D8%M7hJn2)|=uy zv3sK9`ba+L?SW?Kmp2Z_`6vnwfu4ozp?toH9q07?zqRL`54*mf#i6cJDaro>Tj$#3 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/4.npy b/MP_Data/pose1/14/4.npy new file mode 100644 index 0000000000000000000000000000000000000000..e4b771128b182be894931e1c5de2c4b89256496a GIT binary patch literal 13424 zcmeI2_kYh<*#A$7s1>bEi(|K{YR`~k?-&t8jU$BETVjM0#Ev9lM>wLfix@RZb84%- zDo8nqk=ly3QQSGNE8l}Wq-%_Q9*ZHyDdiTrog{w zSIrus-Q4YucAbaX`NRJA-E-_lUuu64h<5oIwX>b=5#KayjCNajuXX;sQXvI)bylNY*B-pXwX>}L>5;vj;(1#Hdi6Tj9@lOoy}`wz zgXp&&eEFHv>FCy}uAQH+3BCNJ48{5B(QDVvel2+#?NyJU-*!U{s;lR0)JZ-_{L8hg z&3EyfDfSwl>fVgE?s<`3?gH8?DC@rSlE<&OPd#HV#({tH`CHe{`X9t|A~qd)@mWE5 z-aI;e*|m$L>8P6?)eQ0NfA?q{Jb!uP+VzxVJg?g}q<)qDUW##_ zJh~K~w<+`AgFk4qDcL>WE3T6JE_)5Y^GyDLcKbz-o#6G;%0Zv+>O=RbM*fmbIQ^a+ zf4J}Vzb~IQ&ioV!TPXhe6WK)OceZ=ZP1nvV{BYg1n|gT>-z;yPU1WaO1A1Y;$XZF( zwcE%B=`{o1qJ%38idmjr+cD~<)r{no-%V{38D&gV$ZGpv@ zUoub36W1;))yBM3^{T>Gwr>>co|n^0(YgrExZ(U+qep8UXI~IE4dT!b+c0%!YQjCRk-DOaGEEy`n_iM8kEJH0r023)Q4y9(XKiwnV1H09~>^rGV; zGHj~j=14uN!^&x>gDTwy{jz=PgWG5O!F6g%l+(-Py5REf3*fBw=DCimN{xum&r9pR z@%h<~^R7+6**jlwJMIGXEV2c--kJa|K5MlA`p;XFzQVuYdhb5c2e$&}V)|_#7thWQ zLEQQr+GS(Z7Q8p_Rea;}`85=ld4WxR|=&EaOr&=VP|}fXmx2FkYg@zhfPjL1mDSteXOE z3gvF@I8WCU*LNevQI;D!%K5YUbUuimty{Xfl>ShC| zzf1mF3*PS}I4@igT%Mdd-*Nu!-|!L7QZWBzt}~OJzest5xO`$wnpe{c#Da(Apm7{< zk$6OF%r~9*6ZEXpT;lf%Mms%k5(Td6rV&4NayEQQUIW+5--4S9+psQJ`<>uCsRZT~ zuXb>T)2runPOGiY!5MEP9hZw=kfJL2J}2`1MMf9b0SZhJ`Q?&!(yH*j}|lGU#>ijZ}zW|Cok1F)Nyux8uC}& zdS3By-*b&v>^^O=V9N7dDd=V19axXNdp>Y=`2h8IPHi9f_?4o3wv9wR)$s0}95*ZW z!{7Ak04|TjZ*l(S)iUyF+#Pk`+n-^4?TzE$qQV4l@uWWXLw+C-T$Ua}KI;7U&R@t$ z#OHRRaqPNj2;x?FPjQ1!pbqB!_F%_(o?+1Qaowo?fBPXWt8P&rz4kKncIK@)PA_v@ z05=0WgNx|A*so-vAmR&GU-EHzEISwE^kR-dTyZcb^h`{c?Aql}TJL&(+GY1$FS;1+ z^lET2^ejhzs%MX#l$IS5J3bzF9{+ zUpTl-8-(@9Lst^7vY&jmentAJ9l_cC$~2A*YeUb@`eQ!GrxmH5NAvISasG4Ye!?yf z1Q$EI!^z=zlFc*T9U19SFvKEk^vxGvcr>qV9+jCz_P zVU*{#x|k1Y_tnveTbb&tqPswE8=R;4A6XuHmb?RTmDgnK1FR#RYiz@}wBDyZoa%h+ z+};#7p3Xs*ZOZ_cm;CrU@)!GZqYgI0YnJ2unm7Dyh4pmKUJva9ec-25pJE-s+0Q|^ z@2RMf(2EiAbj}7A!}(=i&Ii{gj?sBEa@9(gkC{*RUsf~@iG0vY|B!68ygvRCQ zxbcpQkO0J0qgI29%3Df0ZoH3zo4Em$zwXxu{x9<)uJnCN_kqbZ`h(ADLirq73NG~M z;f~8$yTEz)e)LN{w5YRsy&Lt>e>|c5=bnf{++0_{`Rh)kU$=U)<7zkE6J&-j&BG4m zwDT9+d%<5^+J!t-Njl=ETxy1<83{EX&v z@xEd3pHZ2{C3F>y*R1F%&PO~|6j${@{`_IyG=X zd{4?Sw9niEt`c5Sop%pj?R<2tV2XS10L|M&HI~3g{Ze&&VN&t8@wE zZ$0j=bDUSs4?TPF8vB6UyI_^$_VWSI%bxj=k64~F9=t&a<@szY`MBVko`u*4bk19|U0l|!8_pL|AOm{cu~Mkh z+s^6KuNk|MzrH@EHsaFVqKK-6m zcbuL09-NtG;Cyxg%Clirs$-MGE+g2RG*Y~(5syiK78^G;%!bLA0A$o z&iCT9U-8)57#G>92KE!RxCHck<5+Op`q>PZCo6u3d|I3*o;3e^7nhaGLv=VeAL~wZ z@m=rqy4qLJtMZM|UoCtC9k-+7!S%KynCD_grA5w1{L~$FFwYLtJh_vvpX2Hh?Hh8( zpTwsPif}$EeF2U8#t8IR#4cY4{|R(1tGrb(|9OEuGo261M(;bKTz6X6J8I5$T(-YR zd3Ik3ZUbtd&T7dS;xC?(Prf$Lo5%Zz7YL>P_WEv;^U*b8!0r3G(6jwM;A#-PKl0VY zh5y{iPS0!6y-^hU8hY8uXNu$2R)vq5asu}mdFEz_<7(EosI!U=q48Z`4(mu9qPW7A zMm^>B9yotZSbxg1@H?7^_ja^E+yy@1a#KN!3%j)&`-y$90$fCWfqZP=Y!o-48pX|- zgZRYnqJ3Qco0gD%^-K7RXW4Ln&?m@82j!u8QmN2D#Lak5aT{Mno_6}cc*pJ5U%~aO z0hE8r(4~&ck*~m6Y;|z6WbiWhG@A)-W}LYntm_O_rnz!dT`hz!_=eB`yE(_A~dOZl5&)L%BD;#lw} zHxXAaosIEjekr}-_copOG4FPmhdeBB33%6e&#<(GmL(} zvM-vn1V2}k>iLS+k@TJ>9Ou2df$O8MD9;wV8#->!Hb$Q8Al(o3mDKG%nOxVW_Zl%h zi0UsJ&^eW{f&4f4qhDrxJFHXolHRZFnfDkMv1%a3MKwx?UJax3OQ$8pySQc=>CGE@ z|1|}s5dSU~dj4xP;@bIsk;t<-tzXlv4Y>MY*c$M@|3Gi&Q=TfZ3G&gEJ5bzRBhg=b zGZ5!5Po?(-mSZuvD!IL#^I`pHpOJDqxZb%N`v!a77WJ3$!QkTQTHN<6qy5>c*5I-c z-A~Ne%GiJ8tlJnbKCRbE=g*(`-1o`+RCj*H{4s0WFL2+@$~L55@(udMJB`JDXd3+v zy;)Nf?{Vf-`HfD`x9^7D?w>+=o^3V(yw@Z05#xzZ=rGA~EsMiPhx7qA%}$4dXX^?s zcK=2BREb{bxNR{9K5Pfw!{y@>qMt#k&VIm=qlj6_pRyhKQR-WEvNT88S=*>$7S7|;O1s-?AzM2z$nLgd`EEG zDHcAq#>i;L)lshp?$a(mLj1(WP3}AUYajX7y+-*Q@mcA(E}sotyex=$%cl+Rketc+ z!Vy%5p8sKgw%JEx{)>Nu!TC=K*x%G&Q}I4-#%u;R7Yft<`TO^DuNZlO^l`MW%BLpG z`HR+z$iK!a()TMj3w+N`a6MryxU8Fo{faLxf;{E53fPBDk_J==Zql-ZQ$taX^T@=W3or?-jQ!0pm9k4_wx&fI6^ei^;#xx$DkXObo&Js^7ByZjvtoTzb;Jt&Vs>FE-Uh zKJren{)o%E5wF+^oVUA*`DVV12bU{~T!#Pg7utQA+vIOvzJT6_otx==#IXp<^Lb~C zyL|X$wA1r4wcum-&O)87-FU5jA;$n#ri+&6bff`1VGU7YoNMRo8kjQ;A?gWzv= z)}-}2W**+(h5tL^DO=%hnnz;ZN^zI+3Ec>;-^TTF{$kOvtU6rAdbe-;PX!;n1A6Iu znd0tzHzzq$FY_mn{~-E3NB256#c}4nm-KCJz(;Jqt{k_6&w`7S4=*}j6Sf%Vj+r=v z>bdR_>Z!(F#<~-g4nfbebp+@8$^<$eHT4J5udGA!r(0g=^;gN@MsGq~Hl!TJMf9U} zq(AhgI=o4s`SVXa<>M6$&YMn0zeK;o;4J?naM}Glt(R)y;HqaK)LCS-ru)yzXT*1J zqk85YI?(k`B;N+-yXbzxqptUK`LljEN&hk)dSO28?)3J@3E=Gd3Dnsx_;s1n>&A)T zVnZDCHutu1j;kFsulNueM|m+_IWD6m`OG*#`7c?6b*-w>zN!)f>7I7ak9;;vhn}y$ zf_1HLteEY5*s>|$>i#5J@7=awKj9wZNI$nSxY}>wuM>xY%c8F-ZvV5G|F+OBa29c# z@_(+zAph8d;ClZxaJBl$1jqTu-@w(#_uxAF=aU?_O;f;a8+y-DT`wVjz4I?{^KJsx z3*XgctkavC6|j!1??kM3?*HE|pG+?L94DXh^!HOXsbv?Z7r8DG&tnjmt?u00aoy*8 zaJDZTyCjIco*x%H?0yPo0YB9`P zw!0znRL^Vm_i_18+5^2>IvMjpjBA5>vMFt#7o+?yIh|ZI9P^*wuSR^$2&@y%Z_whlog1}D%GNM|Iz9>E?+(UFu1gI&tc#8SmwCdOY=uW(0zu7 zr-V9g(?g***?q8o+EoGg-9Wsgc`j4iqMmwrv577&>q_UEKHLv=Gxz&q9kGk=C~lG` z^rmL~8syV$J@L2Iz%9QY?YLMU49<(s0vC}(W;iZ?^Z-{47J##gE5XhDCc=BZ^HJI;?4gWh_rKz;O{uW-+lhqGhes#1Mu-lm?6cY0Bj_C1xe zBFD&b3hn3Szzo{|>$kwUthV$;9dudxJGlMxRE+ZxGVA|uHO!#6rOqyP zJ}RIR;+oHM&^p@6cR9T(JQ#H_Me-o7YSKx8?;1e!Fy=>E7m0;e!ROUU#5GkV<}Ewh z6XVDZ5ZBrBVt*6qXA_+dYxEt(Ejt)Ktmwimj+^Z?ANZz`w9lk|{{!MKeF%R!a~YlE ze?5YaO(_bl9(J|x-LsDJY*hn!vj6Dsq#|Jb(q!jQ*ZGT{p6IWf zoQUz#Utd6dWC)#W;{IjiFFMCfcRsR=FXiLi9$dHUxZH8Ei~fI>sQeoBw0Zh#@a{Cv zRpGM8$KD8^Ng?x0iV&HsH`6GvO7Q&8Pn9!Ffg=Mm~Gk6l~o^vri5 z^*4jwqh*tQp^o#@G!J>F9;ll#*25p)Y9qI_ispFE$i>LZRc%uTzJuWt?N_%dekRj@E=e2b~#`!_A9gV8uH;= z^TS6ZE``6o;7$8&L0U(8_!Zg*`n}rheB_{58s8b$X&&a>HZ|GhlR)(BHCXjwS^;Z_nLG@Yp82b<3aE{_OT?c>LrLJ^7 zGUgUIe;iA3r}_0pKF6MrzDy|b59N9~E^cR?j|E?0Tx{^DdOn$48QM?m>EhV0IHPkx zmv0CkQR5NjxnA=p^4B|j$p6z{Fi%wQ(Lm>8UiT(`|5tFG*mQ#9BFccvyfMf}Esp4h zeA=X<{=D@HyY~)0w%)K|j;k|mk&kWP3ge=9cdR3OC@b!#e`7xI zPlj}dPu0>V{Aqq3l7pO{J*9cbZXTw79SX*{u*MVNBX6xmK4w;H$ z;PkBQztF2whrn5Scn2RBw^VJ^M?K2o&!R^=uF~i}V5;4Rp8wnh=L>r|3wqn&5Y7MH zTNgXMc}Mqi^UMqVWzEvCpRla=P^07N9QkPs#>>?7hL3!Hi+HY0Go25+`8V}<#T#0W zJ=kQ&#gVN2B=hxY(i4LSO2TJD|Xlj*}kXdh!GyMgl$;e8wz^XUKO@-Y*^S&5LLF0L6$>&V0^ z+Ly*fSg0lU6~f0Af_ z^vwEyCGUF%xcI7i3))X38^d3n`D_UM7d4{&abOqnS=K1rasErz|BE^sk8?_dq~rG} z-DEW0+ga0F$X}M!IG0)Ty_a1aGb{=Ird{{x&c~$909ONx(D^uo_6MG{9$d$@L|l1v zI`%7NdxJB-m8d8Ge&S5$V|~Y5a{i*?&xmW<p1Ff J%iIf+{|93u*(v}4 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/5.npy b/MP_Data/pose1/14/5.npy new file mode 100644 index 0000000000000000000000000000000000000000..6e5e34541004a3665a2a6231def343e35305b833 GIT binary patch literal 13424 zcmeI2_g_~x*#6_*6Svf+TDQ0tE`oLMy~kmxh~gFn(cl)hNX1Fix-C{g994;XYY|r+ zH6W;1cir0hkn86A4}5=p9)9_}c;`A-?%cVPlXE_wh%UW5ck7>pO=cmLef=i*jIZ2; zS8g_}apfAk@~|=ECyw_D96Dyaub<^@yhcs%%it46c#ZYT_`gb>h7If1s9J-E^8eqz zyo@o;K0Wlv_*9ig-?pFnwN6RM_!K9;y|n+c@WrY2Q~X%rru}sC>tx&Rl%{r*;}hE1 zqULBf^Nyii=BIX@=#yrzQ=Sgm)r_NPSA{a$H+4e)@_7rii+d%|&bw2)`1wwXz23O^ zQ~#@qq22M$yuRIJw9BoLXxHsZ()H6a+u6Tqi2EN`8eeUJ&bnI zs?<5#F8wpxC&ttG=jOO)bt-l91KX~)P`i^>km3*Phjx)K=Duw=(V6WRlhf^Wj!zfz zc{b&gZRe~1rTljL=P%pNleSPE?|<5db|1Q4WF7L{wu=%)p;rxB?zinGYbS8C@+RfQ zCp+4Ot2_Fa$#uwoB*&*LmGaj5IG6vpi0gfSpuF|1gX?Ag*T|Eq^4(k8&dxr>bz~+m{_+gQFCQM*Vy{=Nb}g{ne3^-Huyv;?KNF^Hvs{+G6@m7sa=6|^ z&iU8=FLHQoO33(h&ep1I|7T@=aJ_t>(9R?F##%0O`Bku=IyC9A{S=E2W)&Hq&XJRt zZx+7vS&NMS<-MJh$BL)WE^;469r4fE|FrEqe_o1ziDx#E@jn|_j{0jm$=G)1;uicb z#wyQUhsDC-Wcy^KTziuG+BxHO# zsWE@scC)n_)^fTPW|8`FBjcxxs>_9b96Sqo5T-Et)k(xz-J{^V{&4t6x5m($b4lQ4V3P&bhsQJrXAcTso}3rc z=b_(wp5Q#KE4Y3gO!{JN$fxmUa2fD?q18K)?Z9>HCvaAK5cKkMTjHN)J@Byo9l1K$ z>dgfX&W^RiyztUx6!?f|l%HPR!9~QdRhIJuZBZAj$0Fp%dDu}|KU4Js<#|eB%%drv z)E@fTCusf7bfbOL&AkVB++uJR-vnIUnUlqGeNup{)&F3=c$Kx|t-l^sp7P)6F1YFb zwz1{T-y5Nqk9N{L1|Jz`eMH^6)Nf@4u6iZ~Sk69-2IqGYNuRQ9gyrU92XGc%0RB$o z*tXD*bOG0ALTFsAOHcQ(KI>;99$t0`)|sjjTLk*@Ey!oneDe9%KgjC&n2yMsavefG zTjDlaE>g}B-&z%%z1tOTxuYnbBG+A7N1bX;v;NMo_vqI=Z;1Ml{;4a#pXIM-Xm)S(l$l(=syxU(y0p4FQ%w}=n_Nc?4Y)Rpny2d>@AQe8!P z&$4=1qBFP*cmeM0jvs6}^ZJK;PUk@V=p$#aPFc1za3?en<1(?Yv2U`L&yWXQWh>^z z6f4`(`lvbN&mOyAy^8^CI^vu)3O=kz0r;DlHCI}$gT262>qGE&T&g2K{A(wg$ERi>%F$eL4RV1I38i-RL{d=nA^8E~oUkt&0 zPyTWW_X+uR1oUxX6Tww- zFL1Uq0sF1+_XFoQH(v9wz7qmR!e1Omzbq~v^vbK@RNF3_(R$ZOkCW{GD*E_LtJnQC z>01s*KFyI|C)jp9U^d0y`ag>Q%HPZ3v*|yK*KCVKovW-_R#+dg<^nkHcoke6Z-RBi zUu*;yp4lk>H}=o9dbWHUxZ@RwJUdBWpjT(cfU7%0Nq?=ckJURp=Mq0Pit>CkVv6N@ zS17og*MfM)of!V5_mlslV&s1?V2$PC%OP+!Eg$s4H&+<^{U3mfQnY^cxZmeku3F{A z{=gTcVO)-TF3gKb$O^9OuE%}BS#%2VuuZv1e=-la`sRYVWodc9S>a#NuO8eK^XPbx zzs}wtoEP6q^InSX*TRJpA2)TLjYoRYxLEEc;AUEWX}JlFLHz1vchVp1K=a$;7jQ>N zaQ33WY^!H?*3ftx90V7e&La;zy(_q!UY*9<;Vbqlb+RYwftRa+e2P&o_jqL3=v;Je z5%2xL*`r2uzuQXwD#DZE^gA>O@jqJ*e;rP7vO)8aH}UZvxH=wBJ_EWfw|Z4|7C8TX zANBjkQ_PDzb&cZmUj?q%1kzV24K7yC!M?;6(fwMEIfM1$3@?fOO+RWd!TLMD4}jib zwBK^Io91QiU5r^$(1i+h0c&e3C_ zA262mOQPvM+r1y^fnQog@xM5Qe5&Y`YZ5a2wNDiK)pu4<{#{yN-!Lu7pVtW{ex>b1 z^jnCYQ&^FW;7*k_-&-H&*(t=M%M2pE@0bIBRe<8T`VsNyYD;}BXRTU-i%zS-MXA_8 z=)L1ezwUR8i(M{+Jgbp$h?AdtMfbb7`b#}BY~;i1;9_$x%EOeDsg@hxoLIlkzRsvO ze%3|7zxiPJGw=O~Q?|K*{IJk!@R5T$A|C$f>u&gm`%|1V8iGp}g?ccRdV;G1h2bwp zObE69W`A{>mp0LeM>i~jIux;CG%lYZh~E^?9|e8YDU^SgL-%ZdJUTMQemafZp*LOp z;Uk}(A8EN7wwvNP^cwN2KYTY>AO3YXXrTXkqKa>bt;4Jy-$G>xcHS+|+j?elvu|+waqG%jJnpG%qdq(1zZP5Gzs zedGQ!aMS1x?hAa_LgZQ92*-HkcT+Z_-#c_)cKmCg{#ENyv#pN_q~{&oqc6A<@o28) zDv{nxn09N37rT$T<@GL8{Hf2u^@taw4>|;{s!gTy(!J4Bt&jY&jCk%w)NjQF;HD+T z&)YNvH!in=tzML-`xIMT8C(=z9b&o8RSP~c$61_b^kwfL%bi?qs2@=-gyy%-${>#n z&ZAa9@8l~_`^MHN#IHvAg7d8ZQ9XMW>1=&ugdqRm5>$sGXIJZ^VpfCef6E{q{-X0_ z^y^X^{mK)$iN}>)X7y&w&(JgR7XIunUz{II7@eb7P=1=P9BX~84^N_VxXyYLaVqJ% z-g2?|1ob<87`UD`9s8v76Fpb5y!A-mV)82ZX_=`B#nUuHW^K%7oF}N!BNmjlPxQunj{F+KrhhV&iYY=b0jqVo% z^90*?%n~|(>i;zKVp?n|%bg~>kvFwl(>l$O4uA71JACwJAIzgEmORDk#rgTr^ML!{ zEIy#N<=pKF^lT`-rxX>hO@RKwFmN7PANLWF`vcas%1!S>)Yij@htE%&;bG(4K>MdT zLF1LzlO|ZsD%_(uU(Lh(8n?njp)Zk6`|z_)K|B`lQ}e&jsp?PRP(Zx9OZ|M!RDk#dnbl!QD1fezImm-gKAeYr*G9 zaJkBz^4VkiO3QgCy6>niE9idubg%*+>`wZTD^Q=hsvDiJeCfHBzo+jbM5|>}p zBR_1{5scUIyS~YC)~hk;+aE-oJFdmYTP`k70yplri9bu}4*jbHaQQoZU!e;5w@=8> zo10lNUZ*j=zmns>cCuXWs1I&V)rXJFce;(`vT0w^hrdId=0lcNma{j_5T~4a5OK23 zYLAEIsWYJ$7krU_QNIq|U(&V{kLUxv3hRk=>YTg?E<1n4yy%pHm>2UYop^<2G{0?s zUXOTMke*L14z7M5PW)^H^vV(7oo`ZXo#eWr@&5^cH8`w4o!n&Na~Dk2`$ zxC^-1G9KdY!AJ&ry9m< z+V;SHC{HCp&rX)Uj_b}B*=|4OtT^(2F&+JyGX*BYr|A=LRw)RarPmCGzH({!=#-)0 z{LE?8Cm-9B;&G+@Tn<>W1U?n!!$;PnbGVL~KFM-r(!tf{?1-PYEI1naBeCFmVp(u! z<=A1Cv*5Dum#y;Bc-y;8wcI(|99#s^dp17(;!Mj;kJ%LG%5F5SqNyt^S66dUoJskx zZ>t{u<1E)7x{$tF1pLMMVawp3THulWWNl6pzqwz;uA5*8@ss15_QN5l|-EC(~sDP#m(D+Hhw;d zz85fiQxU)V)@vi;e?eTz_TcP^_a@8vy7@HTr^{~G>s8_G^YH0P^UfM?LEWmF%SKwg zxe|jo&6FkZkq-;vyvhT1Q~Vv=soy1kV?UQWBjL}RU8ViuzY8?KVNIYHrRlu~Z!}0* zfBm!o=^r;jJWh#3AIn)vFL347miUg=s5gFn4LDm{D#^wz*WFb1lRc*IWyFFv(94mo z$R}?y2mNxVC+3}19E1AdC+m~{UvntW8&ZSdcccXBN59#F`?B-KYp>;EF?}!2(_Uk| zj^Cdcuev;(#4{k@E%^}{0gp?@1prVcLV*JPbs87unnBQh!8%eonQ*)Maxo_$-yy1wa`%Cg!^egmo;=>U(9_C}f)$J?bLg(!ReeQdtpR}I*?>--B^(t{PI6HTS z>N!1n74%Q(dwO|e9rXOCr4uZ7I?jdO8NZW!ruaz9O>Hl5QIx(PWPU%)wVdCe^`)Nq zJn+c)U*wz&A6aV_^ip5Py5{+-BM-7lD7dZ}Lg%heE%7`kc1{F0^{Ruj))M}r&nR$S zx^#({errGDq$0yoe9o@BX6F z)UUHN7V#VLmUu!C)(dYkU_5-*{fKpBwufLJa2n-^^T_aFCC@^ylMce4o%yRH{9~?x zo3RPtD)Dwd@GS$uovbslzVtbb^(78&0#}uqgR6;=Gpt@q%D?J92;BVog1#5?(BzZ- zIh~6h)u?Ut&Wci~Tb8#u;xt)a`FLb-8MhyLo@E-XySReLr&evD*CBnck*+${i=17H z_}wwIjy(ELN4r-US{HqGV_op{SlnMkHp-hxS&4ZRUMK2XJzLlc{mKE~V_lmXw@~NO zg}6$l_q}FS`I!ke&f}T-pDtltJGn~J{2rn62Fudmmi5(T*3P$|yz2?XW4`?cE;jnD zvRo|=pnT?}^NgAuGzI!EL7C(A!2W3lbXaP+X-auEJ3G<+!skcSiCj(hHSX?(yoqZ9 z>qzbVLOwZiLvOmqMZabd)Rp>yo+x`@+M?o0W9JnQF#jCNh?7`P1HMg8VW z^0VC3NQJ-tmO}IR;kB}Us#{@j`SL5c__Hv0`>-a4~a#6#N^|IZa%6k9^8u zk?_$~sm`6=KO!DB#v>T|4NGafyUI|UW3Gl+?(CREaaN)CKVm?B37+#b#>v0BRHFJ z4f~S3N&T{;3iD;$%63Pb<=#Utz36v7BIVF-%bgPw5U2V^@f+{RX_l*;?I>^Y;kTi? zb{FwTSE@r@Itul-3J+Mk|N%$%mQe)pG|W%c@xIEpiV0k|CbR>G&`8E}0x2l8MV93Nr1^0`X9@n-UG zy>6i8#{B`f*cn0bR3Fz5KK-AA%d{YHwz6q&%k_L$N z;_sT=-TJ8Y_Yse7u@>>ji5u5iAK9i1^zy=0_=vKR$g?{Bn0yW|p!)ft2I@i1tpKi$ zx5oU+Z_OgDzwxAVrW!aI`;yv|AHOSLzeGdNw*5=>R;V?ezr>)9h(`@Daefdh zTM}PC4C7V5JfCCxb&8Gz7jaZ4!tDn3Nm+#M%RGVJuR1*{ZnS!tXFK$=Cp|}~qYJ1` z`c=R_tg^Xb9(lIWcn{zNQ$EGjK~!(${={>o6G;1mS(irh6_jm`9hWFh=X~*UJLS#i zag^oi9i2br40>J=GwLt5T*i#Wyzmm8pl7EBZm?W8@+SVxlj>*gGfxle-+M2(sgiBAtNe^5mWy1?z)f!ht~SQchCc2C;?(^= zfV1ocLZIJ7`-xop1l(-+JOTP;bRJ`G&X7;eA%V~zrFE+QR^;QG7te9VDTO%YlR}sm z{^cdkEj&$8zyHzqmp(GJn-M>cbIZyC2%!*2>hLFo)pj5 zHl%MKfb$9aDf9cUz2z}p=Z1T*M~1(cMEjVT-jDM3`qUuHow&^3up;2Lt8hzG5!8f_|x}xBHN}E)Kl(Gs}eHWh3k6gjq9JumYeqr zv5w4bjyl$r>35FKhL%3IU02Kv&d(pkIfsva8Df2OVlmQ3bpclq#j&qCg=&*tlmr)R zMxbB*Vjb<9xlf^A-PB;8bOx6p-fJ%Orb_Oy)}Q%2xo-P+R?+u&y#8pqPt|w;E^6PU zb5YS?>?gW&UvQJ3-uLSv)kj+&zGP>T^-(=?p{eDyozQ=BfKtxm(f|htWE~2_aJH*B$AMgEtD-9btX55&;frCbl@%FL2&ESBsJ{f$h-{4U`8Q&|{u3x`SwJOzkDF46x z%f%RT27h|!p7ANF{&oYOS)B)o8Q2=cRUeWawjiojESiuDjkvyOWRFRa7VRZx*`6BBbtCP`plWjXspmz2wALZ|BZ?v1s&+giGXLY83*Za@xb$nnK z_~^nhC($1F75NqB-96hbdTpZiq}RJ_I~$gHeUCw@xPD_^nveH#53aA&kNBNO7`F=K zXqR5|&_6F;i@tXzZie1TLqE&gpR?C%&tT+D45&qU`>{j{`U!8CX4}=-N4VbPe}hjk zHTZ*V*H`!aW7~O+CdivBa2*?y@(S10?St!0**;fnyIlV> z<@IAr^slRj(>z|0xL#j5N&RkUfa|6E#rM`n{cptIxl#v;CVox#z*}*$fAtuTG-f(M;<)kR#qscW=tH~yulUIWr^SwA-TMjWnlA#TdAxNW%}?HL9A&?L-{bK)D;nf_zj z3UF2oJ}k61d~}7vYb@8Va#6q4!){t1o_-GgD$5h{37tXn{yI1OoteE*Kl<;D;IiQI zQMm5e6{^eo6;NlYT-|xrU$s9EZrb&_YIR~?&q&LiigDno?VBX<#toF^azaDIWA23^ z4`Mm>tFtu%S4)n9v%US{qkI}r{Ol^_EwILH>!YqWCH>gEm?v{FB*Jp>Nq~zUUBPvQ ziKH*n8eGqar+p$Ub*|Mr@oh=(@(J9TJQ#XWh`5|T19hgBIuop(XXB)Q-4^pAt`*mo z>k}_1Kcl;WvwS`=mYa#~P!}>{9`eIIJ8O5#JAFi+9aezmF?e!&tCtDK!Of>?!~=7A zfIpZ|`ofLDotjA>j@o{!wE*YoZ!ur&{N^#%U#%!h`G0r|oagXvWVx;yPx^q3m`D9} z-)Q)cyiNV?T@5Z>l15n0TLn_TUP<7Ni1D*rmFoyD^W=rU-j%m4^v4PlZ#5ZlimY{} zxM%3au4#zJaT|zrraO7%fAF`IST0BJr8pDj zQXQW7i|Tpr0&ubH5xCRUJHqP4>T9IW_lfjwEl^i%&JJ)kz68}_m98_;Z*{s)%PXni zCj3V)%N_j|dUGNx)z6UASf@_+N8n=ZZ?r$`_&46_&F?QMKLgfbUd)q~E#TwZ8G1dT zFs=8LFQJy}cO$@g=REM2AypS!F1|@{Cu%?W_pD6$N$Z4p;W0U&S0^8KwR#nOi~Mt~ zhrev^ia6y6IzOnOhp2O-zK2=8F%{sWo>xVjV(Gn!mh;^T@pF%XSKKqc%XTND?Wg(X z2Y*$#4D?P?y*XB|meTovIfub@->vN|7t{U+z4+@l%QNFu43ajC?we>tnfj9Sm;DcL7&pZed;U zL*Hm#R-8c|#ACkzs~6=0NbjH7Z;OuTS5Ll={Fu*Iq389cVgGSFlECG|9^kCuG1_l` z8b-WA{3Z7cU)DZ)IQ)+vL%;gh+|cWzjVIc6z9NqN=Rdh@zw6bfr(3-_ZYa)0!;nul z^zc~QF5iR^FZ7N2{qSlLuDkUW@v93&xbinROS=fpA63CR;>9!f|M9NK zk8?h5rqw&?36zJ!zah{3zYoxhKLf!<>p_&~t8a!_y&Mn@EZqj#ur{EuZ4_q8bNBnZpAK{j>keswX1g8*> zOrK>rzv=?c*2dC(p~fY|W42`n7q@bNI~R(gZq2(K;7*gx=-2t!81u;bk-zTM2V4%> zLieeLbiWqUN`s5+6Cw~#8yc7KY6Pw}F=e?9+d}cz>`wZ|?wDWJWetsY_*8IbU>2-L z_WE~l)_ET|yLMHki^Uk_U{9&x^0Nd4aK2G08pp}h6I11@Lpg^zOUin`((rc?a=c7n@tk1;R0 z(j{==8UwDIjfP$pEKWX6!m%%@e^20kExb>o{&k_BXn!kPaV+BbwIB4%pY~hhx*qew zo7|!L&ou<=#n~4z*^XCa{~xWpVIJ78^tOYjPkpFAIJ@J6^&*x$NB%`T)u+?40qVh| zq>Zxun)2PyuX)fDdKFO@`v4EDK=CK+LcivSC+b1wNr%74R~zeHyUfJAvxfs|T&F72 z{jqg}AvR7Y{yNQ9Y+mF+w;di1UavX)oiiJ7pLOET^~1Pc=Oq6}-N8kV(<7m8FbaBJ za5el@zTT(@Rd*iwJU@YaiZM~k6Epf{JC>ne6%a-F-`^Jd2A`bie|93cbJ%+v`mNQE z;@_pg*}v(P4A zB@fYfM-)Jw^}^kVQ+U6jdf49~(mlh+bhrxcr1XGZ4t+lnJb}&$;?GW~H`cSTw*Jh; z3;oLbyAh{OxP<)ZQdQw2V>(hikuF=TkDTRCc`H~ST$Eoj+WLqS9>m=Xz+ZIm2?eiS z4S6uDRv{i$wF1>)t;}=Od@ss>qg>0ZUNsM<_*)*hWBXG+E4SKDGr1A`b+R9P^zIA8 zEoaG_z|G4yh~KH|y~_IN5x(eGW=*8Jjc>CAKC_2_^XI?d{3dfQ(Uz+qf68a=(ukkW zJhH}eo+TgjY&4y#MTxnwma{?L(5p5D5f4A5z@7F%h({IJM*i222f{y{_DQzX7yeGo zM@thkY;=h_6#rs(%ESE=Q!M8#qbUDNJdtPfB|O^tnAAubSL^dMzdyd}WVw?kk@!X8 zJi?=z^8?f=^&!#3THpXuR_ld*b?u)xr6w$>2_Z7eC8o<28tzPi_t_a=(}j{n{U( zSJ_;_P3hPMmh0@-(63YLAs{MLff3}YHN!fJ~ z)}3zFEy3!=f+`e0bH{jf(P|Pr=PKemPomECmc~)=S=t+U;LlG|zr)IVSuT$&=$*=` z;G*_3+!uJrT;y5C&cS%afT?S&zms|!dUd=i>R){H4ug-P=N+}!6Wq8tGc9)>{6q2h z{0=T(UPImLmgmUl{Y!A&=Na^J$$sKO}hI z0C)CPUTF1dG}WOz`VRi0hcC_#I-br^+9MC<%h@=?8$R+I{Pl#Zh*LiES!ub`{W$UG zKE$_8#Xc!tyaiWLb--0}P>j`^4PoH?$a(Dl>}Cnn4?olc^QMys~01Okxz16+(%TEcUae^CA}{fAqNqU^2()b{Oml%ua3}oogQgpE!W=k z{)Eqs!2I&zXE0us_7v;OaqEgYG}k-ge(L-+o8s(C&jo5p8}jdYh}PqsE6}r9?c=S# zd67bS28xH#63^50_J zV)$&>Lq44s(f#zGm$qEbqVt3JvVv5t>m+HBR zTZr`$EqV~oLq7cUW6Yx|P@Z`H+t4%5di~MwZWrQ9A7FjSou8(;XZWz6Jdhtf<}i)7 z_^o)$&8mjbi*x%>=Vm~)F_!D}@!c)rha>!XUhKep}SKD`$*$>rwR?=oL|>{m{SpAo-l>Vf@`U%d>y z&Rg<|)v-C*H{kk4yP+4JQ_-(j_-?%A&f6#8Y)=sJPI)H5|86n(ILjnB+q)h0DN6Jp z|Dx|v&+^gu1y-+;BH$xu(0HYr5B%AIXB1~lHt3yW2Li0#%-aQSYLo=$Un>o>oOLMy ze;$yV_{gupmh%P8z}cqi;H=b+>F76S7`S*q&v(4RjVR~~W+#13y1&RdaQ%$A$K>6ZKL5=Byv_pVx!)X&$)cXfqlxaBH-C%8^tL;kLtQHOe2QHpbA1?<~KJ`c3<^Ud`B-#mRt@i*)hXMJ>& zcJSeM+JQSUL*p%%p|jw_>P20(*Xso-Gwml!qUQM+|KxO8lNfT?~Hg0y*g77`4nHn5Wjia1M@Cs zbw&NC!S%>LaVE`I(u*MLBhME_{g?-I4j13$4$JwsdGK*=|4Vr;d5h+~rZ46BkGfdD z+O-Yd!;2lC!BvaRG>_*VqhG%D0k|Bp0oTqyW8`u$pLy-oYZ=0?*jcS6s>N6dJUWPN4D{J8I!lhY^< z0WXkG;kO*?PQ)CBp6%{VeCsI83ws++`fD^_`roIEtRHWD1l&B?jDC&Ejd_vfXdTIX zLn#k&gHbeaVb;IhtE z=#{T4_GkVwneSgup;B9bLVioivqQL+gzjT{Gyvk{+^A2$_(DzzL{%=-7 z@1&0(Yq^dJC;y$Bi0A38Ea%>me7xxQL8t$ZGcA{IX??MyL+PCMa|C>Z`*i3OmUf(R+Ujv;8_PXn$t0^nBqI z4I7O(H`4s7->*ZjdZ&!HT%?_Wk9_$BoSpuP^C~NS16(Yp=PcG|2jX|4-hn$ugXtXG z$#V?+_m`)2bT^dF3DdIdcF*uv+fGAoN*$m$`>2jqZyH|$XD1TDoo5MsELY$Af$RFy z>HZjKu)cVWc;XwI(S85c?^CVbxkLHqegnXj|0`OLcN58fT`KlB)*`gF)$1~Je>BCL zQ=GAThPr2PR(}ulW>5&#Ly;ns&&O?1=WBOYh=PH^>8-x$k91F9e1rz5zS z?GWueBqx5R{G84S zJ)f1Z8veNxh_9*(?i@_TecTN21LwPEf$O)^W>~!$mX&zq0&tbKZ#;Ou1L)TgL&43( z*M63($Z6m@hJL5!Hx@OqoaHD^`u)o>UT0fRoHJRrtf*V3^6k5x1;fqSqIJ9RSuf2;C;RL`yU;kn5f zUWxjBofGTAsa}1T?N?5s^NhSizmJQ8*_Gvbqc`#+ns0%RnV%)r_RG%yjeZ>$Z`3Ux zx*PMz1#z>m0QNWj=KDJ9!+dI@U;QZnJ|ZL*zi;ZJ^nY5$bsW|^3kqM0cygw|U;MZN z_3vD`4j-}hCvd&b)3G}B?*N=*)xWhV&Xt}R7b`Ghsg08#J_4?bY(~Gb-+Ld+Rjx4oU9r8jgDuyk_rXWV-r(lgr*W366v~hJ-W*)*T?)N&FHG@YZU^qXovfhW zTnk(m^#d0bmxWs{L(;*`l*WjMcb~S+a>unA=`YfAx42Oo`AYou`Z-Ku-S4olJ3{M$Q{ZL%*Yal06rm|?FM(D_PL{0=Vq z|1u5y_dh89E=>@pSzmmHOP}*1}(R z6#bz;au1xxET(>a%HlpQufGI0&w@#RA+0BTKGSoe{Qj2avHqFX?l%6_w4dmtl33TO zt{e6@)36DA)VF7-b7yq6F!&5`C;#aNc{ck-54JugzzbZAISI~ICyck8oipSkq9{(+ z+1;&=^0xSU@%X!%W@ksY}wBPQ@iG7dFe?t20 z^#6DwXi_ihZ_1R0-t72H^EmHUtW&wLFO93qA=Hogxu6f?d|wir4UMEcH|$r|a?x}i zxY)jf_}(Gt*OaCGM^DMzhxey=+kV+UnRWQ*2^v@VPN*y8HxWLn*jmKHI!5FCz+GEX zzw>-)yxX6LBc2`p#E(#&n13!~pLCL3v9Frp#}SX5P&Ur$`L6ZQ>(wJLkE(S9)k&jr z&^yO!U>-%4;dl?A(kP$$qZc^u@b_;RZ&rWglf^&Ae3`bn!Z9viI_Gm=+Ryoor^_sN zyy^VO#?kYFIQ+{Z%hmUhG%ukYX`L1wxXN;!dkDA~mHGd#k4m&~xAC{yLHZ95Xy3cA zuO585ri1GtiNwQ`+grUZMbE8f5OJq+tTcm{}KfFRB)oozx zVykBhD^NbC7NY$p_~}OYJf-JQePT7%m#E~w0R3)lLO$K@)BPoWO_=45*GGyocRH=d z)YM7PccJ%GvLLNf-QdAk=$p}bOt$_Ldeyj2pykGw)~T!-2d<|+_O+aa6hoY<1;r_1 zU*g>2^w*TPO7uK#3MI@<%#d^GLGcuELml$BX^Sm4vwgwE@}rm+-RlnKh52?SpGSpI zSA6M|SgRLLe86RwtI#Xg$tx_EBdE^#+e*-z=gT83cOJHZ-mI?x?nKkP%T|K?N4Ejj zMMmI!qEhL+r&u|RS9q00-b6Xt$HewNl+S8vfP02N_xS}rVki9`s$R4TK%A>uQ2j?J z%&*=wbdJ@VrG1Fc>u>RREbUsx* zgYZ7V*}50pxkjtiFSH=BNoGS}1LcZgEp<`F!e#-i- zq5X03Dfla|af8wSo+{uXc?tQnzcU2>*BR}PA0NVp9qq0x=O4abvDZ1R9^*bGYHp$T zY%S>jK24j77%v;*;$`)$!J*4m&!cmoUp@B8WXok-1h^PD2K~wl<-@>_$AGJ~ndiyB z^TS`4ZbRJTA^b)DLQ||>pY*+C{ndez;JR1=>@zYoE4XN~6#dH2O~Lt>Ye`nmhLi>u JgWJta{6G8O?UD*i-o$#=E|~Z^rE^ zdE;;2VVqxWfpNa>4aRwC8n@SpNAQ_GfW~tnhgzI^J2aTeE;{C#L#47rtw z>$eQ0_&;~YxEf01D&JU)>%ogKuFuf*T++DQ{SNVkR|U+^J~SuQQ+;)Dg{n{nG?D7YQ= zALcFHYhqkf`}M9F7gy@yy>e+z{PUx?@TuZ`*^IM0@2GCU<*Dvh`u}alwN>n`8JGGI z#d9qD+HgKN`W;@M#a}h!qQE)SO~;)~Gu-~Lm-^^a)H^e-R-dHn0>*jM;Jt>c;`yrLHSO$U^D4jDnx7lK-u0e& zZ{0rq)GhZ_Hr#;g_1S&-dG34e^w(Wn*T(s}8E17r<9dk7(L08~^>I&*)4Y-MM;a_vL@fT+k9-DD{?i}1l7M9*UZl|pT*AY1>hRbcS(s1io zbIRv@JnCRYzeoTd(SrEwbKrJp1^BS6X5g}*4KBWa{=3mDx7Of#c?GO{yLP_mhU?%q z;G&2hxK;iG^m1!EaCT%TI137&W%PEFj^zKaAl>hMk4S&J1314B56-?88jHAvD}!76 zym4RTm-5PRw*D#AVYnadZw><&BOl+6=nK9n9`&&uMl1JRxorL~>TL7U*e~^voc2a< z&pZy!7BvQ!C^DYvvBzN8QJNwDIR{>3pysuLb9`BZe6+YYc~8SGfT$XLM}cpfjQs5)0cq~J z`Kd>r=bKlS69j+jV|D0Rc6-#5tttj?&pZaM?z~1m%(F7Md=iOziWEtGSo$#e7wS#* zAOF`D<1cG3hF*F3V_y2YJaiwbt>LBLl$2zh`QvKP2K~(=4^$?eR&Y(JPz6HGzb=*5P)68_unfr}xue(hr&rx`9>3uAwf z*RwG%u__7Y0zaJ}T)fc%6WZVS&%?03 ztai6BUwJb))y&hb=k%L-75mD=N5Ach{Yp35jQ&*I7hF1oV%@R3J87T)ZzARMy$AY1 zjxILJ#8n$;|F=HSy0)&hrhOo_D$OhNAmXY5!RQAyB8TFZYKHYLrYiKU-0esFQUjcW zV$`w#lc)UsI`X%cltdlG(yVEiM|x}cbMHTJ&dLQX`x~y^3&F=e*q8XFq)~MpYgZa%Zyz zmE%ufUTj_^s&mv{lqHT4;<-FeR$#rW&C;I z0IE;rqsY^)vYFPGhYQuAL>J2QR{d?pM_m{Ky)4+8>Uk?>wDA$%y@;PF4}W{mqu&fy zTb=3t?p}v{>{ItA7$06)LeKk!Ab)$xd#pRF_yo#-`T=}?R+CfzFnaM#3+PqE2>9?p zUqcMnv75o|0bh{6)x~e6i7OuuMO@kR1p1ci?F)@wjSeK4ALyISS4< z5Z6maRWv@V(0KUEAGMv85B1@BM)6a(jyHN8{uKGM z%||dVUHU*(!!6g6@KLRoP@Ply`xq`N*8}IDB)D|(9Adb=G6}wHq$fDP6*SXuRkZ-= zrxhlBpCv7z|DC>P(667-bHeVaUdcv3d_D59!?VHdlqr1;mywa+>QH(3SpT`Y8?N^a z0N2@F!CBZnZ{x2b>mwg4;w*f0s~H=>n~i|p;-^VJ>{%f3>Zp&sxi;>LESZk=ZncU+ z{`Q$a!I{%N)YDq9km?iI5q%{tM9eq&*xfR~t?9nd>!mdlz~|C)uiYYr@=4i@=TdR& z6wRwaOWa3h*Pd(gvHDjepMN63#ju*#hpkze6!&O4xb*7L6aF8I(!6@i!@ARLV%Ni` zNFC^ngSeOOP}~=9_?>E>GO_s3Iw-ad&MH|YC4y#E*rtslpd(F zcy$3j*6ja?%TUs9JV@L^40& z>W7WNEx+aC4Y%hvfRA1HDxPQ9z4l`bm!0aP&UT8#d_`EcdCPx*H#HiJq_Q?3&0&zVVMh+&2voSNjwLSKH#y zC#)Lvp`82yeZ^N#!}Eh(g`T7MjpDdpcF*?y#z#H*M0NAJk37Yl$QAH^u8B7s1+IUZ zjeXLN&IVU!f2Mi4&Bb}a{-n?2D)|QXf4QSL`iC9%LjN%DD8!Y8W0Aj@+m-q%u^hN+ zzbD+pwd&`oPTbE`^&}_@OL-)w{QVxr*>f7sTV%DkJ`Nl=^LMe zUOjMkhJMUe)XiFd7J6Om+8E<+|K~vZ%b~cBveWxy3Wkw!;a0?ql12Lq2kf2kxV85{=In*2vZ1Vq9^m+wmKT$+s69Au8Mgqu zGo3rSfkGW*XJ2Kwa%~R1U5I`c5Y1ZA^VOMqlz*|nYbHN6D~Rr6zWLy+>u_-E#PJEn zM<3}4t}+&b^XuN|ANjQ^IB$^&&KxH8MLr$!kx%|CtS^0EOfhjpMlag0+9YGXykNmK zhU@U=(977P=ySVzPMG0bM}XVEXArNF=4CibO9mJ3G_98|f3;1{#bR52%vZV7_gB_t zyOZH8$d&34*%Ep&(XXB1Jk1;2`sqL9DY_5xG+efIN1m470m`%D_3iGtT*pO2&-af) z{cXomIA2uj4HS3mAm~}+o>-^Wv2&zfRv3Eq&KviIm&xnr%bketh+ly`hmv0MYT&Hc z0B|{tK7T34<>0#LxA>f{%KQU=;h6V*=8jIQjF0g8m-zP4&|4FoXy5ompI=1MIGS&L ziSt)CqJ3C3TMjP$TH{<}-DBXRoevNfW3f(E@h+&pUKs|?OII9b>Z9_}{;V4GB3^F+ zo=C$tRKG2=Plg%zG=9zSrff8O`@vU+jl6BprGY zRyxh-_?okLuFxxY!=H;O6xaJnxEa^|AA_rrC` zA@8XF-yV!JTsD|a`KN@EzS?B?E8i@N+pZw>|8WOApNk(UAN`#Z&CA~oK-@3oX}*t& zg3IujafaJottp>U4ZxLGHuB*-23&WfdWx&z^NgOQ6r?=+I$|FaOV8tZTgqXeOJS$Ed4IP zLVdukl#nFDRrK%Vlar8cu2+wX#+p~#kM6tdu?2l=)h-hXeU(4pZ-p+Q`sC2}f#UEM zn%5`~itE$}-%CiBh42>vSFt~con@vNf3Y*~_mr*l`;MJ4L>YhXSB&(NS|A^*@y8&< zo#_S6j&uYUFaI2BeAtyl;tpj}&3n0Mt}?HB3;A1Za-f%=r=y-aDh7E9?u~xqV|tB( z{(vjRO^8FCS;rSJ$Khp2w^7~JiuLxn7uT?jg>M+m^>zCE{ ziBHbeTbKU>=ilswzg24(`c`bo1h;*ufB4FL!uZR|!ziC}=~(YpcAei0SEYB5&xSj6 zA1l12zS_SXTwDyKy1j~>gt#a7g3J7O;UjmQjW%3NJP*#2o~IaJ?zRDSuxd>~T%DDL zdh*uwvF>!tVe;A8n|R1;+!yY$270?gGsLw=MGT&~*D4|!gS0GAi9qRy=T{>4VmcCG`r2W)`e z`Y>mV;k-;NxR^=zS7daQhReqSTz@?ay*>RU`j8#^9h?;$iRUzS>1mkJTTiEuzGo)Z zwceB#Yq&b`8@N?u1~}_Szb8u1aBy|9Ik-Ah6?*H{F!Jw}pY{j;;xWi)Sl)S&oI-V& z7cv_B;h)gk&ojZ4zAYT4MaTn9)6y|dr z^Ridf!aB0oMqnS1u35X?jnDqmq_-})`9x}oX=IGv$k%d{ts&a&O=AjdI?>L^=sv$b5I}M zhIOHwPV_c$wZmKFqX(}*J^A*Njo??^ljeJ?3hiUfe!=-7=Xns{9z^~XwoEZTb{OgT zgDY6q%qtmrA{}mYSD3Ub#^E5N!g1G*Q-LPK9{-?uSVxJzcvnf zS*Xo5qhmkypJQG{AF4C2(Hr#?Rc=Nl8=r*<@Udb-scseN_hmlo6UFUWkm~w&pGV!bL^9> zG@UzYHua(XHGEaFiF=OD3)Q6?eAtV_;|$l;O2A)_SciIA-^A`R{&so#-pmSkLHWq^ z-bOFq=lwsD=WNu|x)&8JSXA91`F`cNFoi@V+ddLEI!!01Jvx`?Y<=Eu5_ z150B)@}fgf2kr3#;vwT!Bo%HL0b&Bo_wbK14h$6uqJq|;r86e;B5FJ^gmmb2p{=fIdFZ@ z*M=@*MYMTkJ`ItlU2ZU~_y1xRCFf$Pj)2QjyAYS3@eDRxIX|Mfd+(!e`tA+|A3sNM zt1hGZyU#?w=|vC7XIEvaPmM%c*PbuI`7-*Qoz-Ys$@ue=1*v~7u1Ecq&qk_Gt&`AO zk8dJ>{p8eC6IXflKwSR5JGfQ#&n3vmbtcWX+Xt%WqBzR4CiOYHSc~#J^<9+FTWjZ# zzmpTVRb=0I!}(=8FZ9xKlz+qGlfieLfotGJ|`oz(E{THG>_A;k&hU;|d zL%YO4a5>=U80ZrpLT~SF3$Dtwg`PhsLH^lY!G-f2#I^hUMDw!f_gwpUMvU=chd+V~ z&&J3{@A06|p%Ko+yJf(KcZkM5W=%RpdCqjXW3J~_>qRH$zKY3I2mVVY>d%H8$Mc39 zO?}R{SA^b9FM@MHznx3@s1B&J?ou7~SA%`P)vnLreBUkXOS&taUp)Uh+%H~Hd71c@ z_j~e5EsS*`|6IBi+;I%@wCdZ)UmuR1V7T~$p4(;j`Pi34jgrVyE&TyLd|M*?nXZbs zVkoU6`*bSJ>-6o-#)s{jPyU{NV;u=k|B1=Dn7>~EF0K@zeA<1LhKus_ImNEm5nMl@ z|M#%h?15gDTSR)ttE4ZHH{WPS)IshZHN^PXB`-tIYt!cxotZemaP@BnxL&*h`S5Os ze4(%Tg8bv6!L5x+-q5$KNOku6i2I`YPiy0z>!Wv^1D8&fu&%`~SE>G@C45-9Z0hHD zuNdQ_*SJwW9w({JV{?9m&y@k-a_t##`TcR67wo+T7e6Kt6(1-+c~4eq;D>NM)C*ZqQg>}vEowY>O18h?>NapgZ>&<|F}1RvugGb>X) z2j-)`o!SEPwW55%tyamMkE4617eNKPr0WK7xs^sfEa8(fdYf+~pTYF`f@l6p&tp5PV;>fC>f%0H)jaS$ zfT%|GL3vOQ@vl6`RAaH(=_DTDjL{}46Eu_zPy6Qvhd+J6>PovlS|Ak%zYT6Hj zo4FaiNN$YzTH}bz#sfwg&Zf}wfED)`dYRY{=cDZ&OZ6#1-#hWGjTb;4N6+WXr5NVR zZf?VVqMi(cp8c(`zC`ms@VyXU*a}>=e?aRl?LF>`C_;I%=k$Ml;?)_PN9_J?K))j^55FMf=~aR5iO>Zm|a__*i#7 zqRy&M3Oy$W^aST4s-q8;Ln*8~@g@jd9=HI#Uh|Uf%eVA4X(c%iRTmUMbCR; zeofSYZ}COl^i0~v)XxKnyX^5bbx?a;$)`y))iXS1xQQ$M+E70nno9fLjWsijo)7O! zd~Y9c>ruOzhX3E+|IP}if1gu-lyJj(k~QL{ng90|v-8t__kj9HoN}IF`pSMf2wZfn zLF=Yom-&XXPW1n*Jez(8lNs*I43}eP(fYi!F4OdxSmdG%*VAXvdHJLVI4jT;=bCkR z0l2bT+&6lA#14F)!yM`VMA=X0alTluXD>EByxR%r?T+++2<%ivtS>&iEbVv6BjL~8 zN{)fP=d3jNj;{!RG4KwpQ@=oP?L8L$%;D8Mqu0YDz?H*~bgp$=j<~YylT_owC%h*A z%*ZLwU-^2~aMtM>{NS9JiuAd3gn}U7oa?kKe>W@j<=vXuiCpf`F{XLq3-km literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/8.npy b/MP_Data/pose1/14/8.npy new file mode 100644 index 0000000000000000000000000000000000000000..df46835e6c45b44177644e08558de76d89c16029 GIT binary patch literal 13424 zcmeI2_kYgU8~=~lR?U=_7(EoxTIGYPm1FM}gcxy<#0qJI5G%(>j8YPU7;%VMHKRmn zbIjN)5~IeUM%5~*RmC^wb=`l#_t)_) zm(}c0m8EVk7cj`6b#-Z)z9a zuiSFi+joP}F6Q~5U5xPbe`^fdRY(HbZSAk<`Y9g&r_azoZ|zO@cYNao7eD)o+U4eV zH=RGPzX$Dd&ZCpAT}Dv5^4^X6)Bim9-RZ>6H0#>MCXfHCB8cCfZF&{$FOS@C?IxMp z^+S8#am_kW9uMSAckS}jTjW=7+kf4)^L;7QK4bM>*Um!edX^dZ$hDi-9D32~uRX4v zmmUKyPFA_-+L`&5+Ou*YJ~N^seQ#9{pDN|$KTfB9UVGMEFV_x3-1_aKOzBah+TT@w1buFI_v&osR2G>kskC zGbiGDvHQD=uHE)3hjCHSMKNwVwF%-8B^Kg(bLkka(}#LIcK&S9)93D!`~7|%*Z*q~ zuU=CD_ixj0<9c;%6XF*YkK=kfaowM|Zu|k9e8pLWGzY7f7& z&VARd4=!?_W_1<1{-=>|!3(KnY3{mTStYce9E9t6ySZp*ZAR{LoJUnE?>@!#)A!t` zzP~=V$oVuu<)JrY&fah0c*l+Oea|+uvm$?^9&Eh|S+1Qw%Z>hR{W$!FknNq)$kl37^1*a{@eRWN^^Vfm2Kd5o*iF?UV$IanT=y~xg;PUs|gB@pQ+7e&!Dfu`5 zuNnB1Pr%vL=@fsV#?ijcr~OpK!}0}TUa5!u+B?qD8$+*#Qyto_UycLM?m+XY;UM_1 z-?LXauIe5GmtAX79y;{;9{%$^`7C!2^)HrHnUI#Fw=c5Muiem+>MA2K-f@|p2jj?E zdg`h|8`K*Q{h8tnSVHwy@bh_2uSWj>uKs%hZU(Q91<%d|H>2{Qu6T0NY{$9YPCk`= zz;)H+sg8?e+NVY2E2_`y?YcWI3;j+0xk{maKBfVbk9?|jT(li=?+ocw2%fj?jUeu3laJ4w9dQTVf^d5|CReFuz- zP5cCUJ@m8Y@XvJ#dhvV@`EM(LI9cw|(95Y0Q0F%4`E>OA>I-nzrVirdI|HH|7giyD zvpD2}Z_amK;PL|Zsdt9J-Edw$@?7Wm2eivf!%{u#lzFDBBkUfHXM!EKEga9e`Wx>R={`DcaGcr}>Q)%n|s z4B{Ks=0SAByhpF=jE_jPfY7nrB)wxN8MDo*+%3!+@RXuOj2QO`2mceB0a zH0Q&-NY7f0qdM?el?~6_w)Q)8s#j|7J4Pf76|D@VRjm+_t_7EB~^e5&%)!@gr* z5!a7G5s!Ft1bW6kBK_mq;HLh{Sm)0M?xZ+h(fz8wT1|Fb2X6+qy$6s!t2_2t_H;Gf z@2z>@x=enIyHJVXIyxO(b=$6-4}aeYoS&~p<7>W#-p=WXdeB#^BA?>LSKEAZ^s2t+ zd@^h-xV`Ix{f_rpO7Zx0g1`LzVTAKHVR7IrCXl%Qj~GW;_IJ`(I07G;zdY(nMbUm? zM;LHDDGKAl{yR(hee0;-)OOIzjwQ)|OdQrFmeCFVHsUbNBmM=gpV@Urxp>59y`h)h zw7!|i?dd!te#iat(xI3yI^@dBd3wDZ);-bGv#%{|bRKa$Qy5>- zKM?)0!vCXv_S%|3u3b&Ii1^jfPmu>RtxT-r>}X^1FP(z@S`Awj;J9e|5qw0eKHy?* z>UWOI4{1KCfj`my+awhAAa~4$56{X(K6TL8rD-{Ooi7pniqcEbubrM2=X^{)^4Axq z(YUnTJqG>ur@V=zP2jRtY(>XyOuZ^8qezj$1b`n{Y7+`PR_`44RhuGg)h z^FUbINT=6vv<{f%$8cXdy$SNH>;8;5?Yoy0e|D|;u3vrn0=UlKm-Oo8c*N7zb58J) zs5jQGkcNMqzUbE`AE5YWr6NCOVRiD~+Y#}oq!ydu|NRi?S>a16Ti) zg}=G8aU%TVs?zwb+kkl3ljo>Ibt9U5CXGb=V*7K0X@%*e0eYDl}t4e$e zz0Mv*H$Hm(q=*5Q55RXdET<*B_9!Ggd-AVql`$sr# zp3yofRz<;|C!AT7mcv<0E$I389T30G@SW_qo)}MgxYrMPmP_s~a6Y{GJj5dkU!pwx za;vlBdcbesW(0Bl=4K`5BYvZJ?AOZ?zv$Ex>xRxg1Aq2V(0huuZ{p$q{ubg9#S7B? z1ssV6kMaSxClAworCf$y^`ZUU4yNa3UOha~=}kX6fAZL6SO@Ify*LlZial?meL^1i z+Z{zGx$p9WzYsq=zMt-E(TZY@+x(xPU%6#D<+D6!-d; z;Bu*&?KuA>jSc`dk(dI~Q0F9>j4EFTLl zUVD>I_%-3UeBTG$R_zRKzZ>Q6{LRUll;?aW;KORft#_Oq9s#|K@XYIRyMrBD_8MZIi*@wJP#Vm(m@OHDN`@qsq5MeoVr{K*vSb<>36Q3#fD5zgxWXk=H$Svi~If*>6ue zIxfc9JRtZ#NRJ@1GnLy7x6 ziGlxhdN080yL!9=H z`76LX8^oi1BEe;g4T~I?f6#L!FWH>5vQLjCAP-7t^r>xt;s zwC)w*^t@LGa1mLS>ZjS7QI6}g^n7hbS0%pr%y*8f*M;HF+BL)YijI$he4V~hHRAnK zFz-y!+vA+xeAXGTZ1+t|=p!~EZ|u(#&|A?7@t9h9$!GOQjH4dtk2+ylGbzvJ zE{*SjeYKpA>3xs<)hxuxGm9ZkdpsCi$2OyVq+vQeZwCBM{cbowb=!2!6z8LoX#G?R ztH4L5gp75Z*SZS5t~j6Su+C-NuTB38^Na84jyjZW*dnKAxxXiUz)q@@Z9l@_l=_YI zr7uA*GIy?q{_A_tt2cq*Dqo|aX*o99&vVWUZH;l%g_hIv#Y;{3=~|rDw_RtJIlXA) zIX|>$OZnV8aUuBV6w1%SHOPay>#rSG73))eK3z)n`SsQ?=zqO|cnlu`uDqT^Ic|=} zgR|pd;OzLv6CLNXx`J~b@=@m^F)zgR3g9yGHtB1O?&b8lXD-t3dqDGR^0=wKIowX} zhWxPihUzxri)6=T`TFE@c|Yo$w<{mvIO{>bYv=~Iz-?GF?1OA*8uaG$A#gD)yM^o5 z^vjL=711%oGcL7vTve+>`6=Z~K5uumc3dR;gPYO}TzA~v%5fGe5T~g_?@4sGms@>v zuz5)9uv!s8<5H0J7dD-qi_I)L_nLP7X`Y^<=WF(;FzI)9!?>8TRL{(I1eg0`unves z(wqK1;H*YBaBkxfCp(@5F4|nh^NxP@l;UsJ8(hWtu0;GJUVw`;V~FoAjCkZ*dVWzu zCt_Ue%z3DDRqi|Jb(2-#!aJ;+^WhbylTYxk;Cjnr%u_k3J@PLSM}y09g@?QR*mPQ- z?VsI=Ut2f?d0SuQw)@oipCZrlpSY#YUyc=b9OtnIQ9ruYE}UCr-PX{vg$)tE?cWXS zp)Pm{da<8R z9qtY;U;T@C#Kin_!K=+Ap9kUOvtc;-&-)8pG%EnTn(sH*>FsU$9m_HzdR zyA1qQb#T=n{{J-7^|1G~j&stmq*YgJ_Lf`Av-2I zfAeG>`8?kQuIdkuaa=Ur2F`kH1!w+As6#!q1jWC;Ce~qHaX^@hpVw#!y*NeBiTr$@ zRnEuGBCg~5;=XwM@YRm%YO~4ba6+cL-ahe-ai41b42q}1c3L-LV(}h8e)$u)VM*{| z?FG)Oyy%bAZbUx(XpeY<2o%A@t9YaFyDpuknzwL*aAK8 za0_`>uRo^eEbFP0vqNbdd*6yq%keQ!cR{a4-h_`XG_i3@)c_ApPE5eO#QZe>U>q@xLOtn&KlA0gDfc>^IB_~U#epy&S|V74|jUr zW(xWLbRY9tEo_dumG8!b8(%u7=|PH~2YZhKx8A;V9*e&QfBWB1>i5$R!Nu!LJO_yi z+rib9Ov-2CtM6RD^5cILDdEA}$+}f3cUN9Je1l z1J_IFIYl<#4$gLcg?VHajKex$L$9RxI(>&j(DPPD&@Y>krycyW&w$&Kr@(p2&pjPi zUIFC4GY<1h%v_84#e+4t8cxr}ro$D~zs;una~2A{?sfxu_RdpRZC+u0V^R0$9F@b$;S8{r+p`RmS|{+yBA-qE`}U!JhZM zmDkYtX0$*aSa#MqcfGu{4ChsT!E@e-YJ~k%eO_e-{Ffb~IKSNu&hIBKa$E%tr+k*C z^9-L68R@uQ83n!U)-ua|w@nt~oS?%c^!C4A$fuTb$EW4AvwO6!iEH7sUiA&fJYsv_ z!H35dgkDv+ndJQV7aPF!o^QeBphoi@SNDbz?=heJ6IxAmT(`^zE`}`z7fW|UI4-02 zQ2eJu!C8z922Z2;#U9iHw+Bk)aoleH40>~s-doBBf6q$+;ljHKrd+2T1NLqjH3}53oe{&z4 zHC#sf%YnePj*Fw7c{-=B#q~udp&r!pnut@x55awj=i?To<>>XGU%~a>-RM{D2p!@$ zA9N4?X69YwP4=0rou9p46kPw37x`x?S8;BU?{CA$_N@qR8+V-G^t=e|J1X4syPH?( z-M{5 zPyQ+eampZ1oiD9M^SAB!u}&{Gc;;P$FThR4{3yrG{4wZPWt0P#Tc1pFoE=Ul|K{}n zV0`su^edbH06j0V1o<)LuZ}@HuXcmmPXmd6HEtC6hj+nQ2(1si@B`>Ya&h>pGM%AU z`>Ug_R82Z}@hJK|m-VbX-TBB}Z=q+O)Tedt*W6pdOH~KA*KW~x?L8IiIGalOxj0+!A2kX3wK8*WSMK=&%_@b}V+nxWCPu;?p7ba%oPmY_@5zy;tp7#a=JC6tN z+KPDhM665VY(qL1O)CZ;UOI{VyC-5^n{stfS7tw*PjtqSADxd}6bBy}{s8mHWIvmj z=K6h1=PMapjOOW^J<4(Z?FQ&gclzB^9i{W3{d))b?4{oktOA8s{+mIdYh348`uE;`pcK7XWMD>bmwCP{Xdmja13=K{HFHt&EYD#AM|3y zNvhlNao8`+=f8oQ2g?zUEtb*M`LNnID4r6l5D)Y1xy<>9UZtRC*_WxFk5r9zdgXPG zxT62R5;ceQa(X+wJh*J#1LJE(PD^ll9Yp6$Q!0kmrLhU9LpwPMdhs$p#$A+n66Ey! z9Gy4J+AbJJy{0zSCA-@*@7m=>eso69UQRE1e2(}JZi?c52!{ z7pLk%&*^qgBKaKkFW`LCiaF4;ReQi$$}#2iyg(}AR4M%sCy(eG==5eqJmq2eIoua- zcpB#uGh#e^O!_9oFKe8g=X~^~X5dnUBThMQ3FftKPy0UWuP`oV;`(V$FGhRz<$n($ z9{bT_?YRAs&JV2KDCnhk2<9oT?1T9t*VMo`>O2kb9zcHWIlrw9q4E8(8=iyI$DVy~ zVm8K$*>y3vFTZJ?aoK~ssq`X=j@t%w{?uP)f%6T$Ql8b+B*#?&+D~;@ zThx#KtHWKlU#O*?^LfCZSoiGdnw^}U6?+XI)8!Dj_@iw(-yE#l)J5KS3*z>xF^FH* zqVoVBLI2leUM$3T>2fonS1F$NPU%?-oDcJ%^SN464EHOCPQ`j+wv8Zt(RG+#>feuX z-cuhnCcflPaQv*pR^7Fn9e8jU@aJ&ACFc*(%(j4Q$ZpPC3cJT2`r`KJ2gBue-{C_iNIsX6u{@=`i zy_kpU>5rc=pIA`%X!rl#=FlI+KbnYovDsCoy1Fu(YGA&JO2eprXC>n~T5qL&mlxmk z2kNPK^(9U(GKxcQCVU94Yra|OIJz9gW;3n%b?K^2xi3gm&>3meVpRnHY$9Yk& z^1ymv^7C@Ru*&jCcMjk2ko?9SeV*Sq{&S zvfwyyb)Y!7xzKun(@RyE;;Hr&{;F#etV`_J?(@#y+!%~J%SeIuimc1NbB?nhvGd{tu{}+qwV% literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/14/9.npy b/MP_Data/pose1/14/9.npy new file mode 100644 index 0000000000000000000000000000000000000000..8f6d9791f1613e9d86d0e05932cbc58934b92593 GIT binary patch literal 13424 zcmeI2_kT~x8}=te@51Vg8br5x$wZIn1QB771VNC98XP5wwj!cM9lb|eteVl=V)f1t zlCaBKZLRY4WUf1Z!Sn0$u3Wo*{W{gERO6HR|LtE+ z#+c6jHQ6)$Q&#JE*M918*OQadKgHP}f7@$ucJ6cV4~1{zI_C5<+s>*|yR+;g+WC-L z)c)fn+IiWG_LBWx*!zrI4{A?1fp$}h+O_V0{>9wJ)UN8${rxi9x8Hwe@8`aQ(azS? zrS{Po?N=kv?szUnyXjUR?Ro~a%ja*>{rqM&&F6X^?g7%Hnu1}hmmaDXm@KMXl zokP3%j{K^ciH~i&E^!#`;`;ETw%rNMxW7lg*S6isQ5AaD%loixXJ@8^i^LXpY`dJ& z8twXM6U4^^r}-;VhwhvHzYkWYS@IwDe&_yO#LZt_yJfla+sPFB$@heQwCyr5mHbL& zdyDo3D?iy!dFS*E+s^ed#rtcWk@f z7ejT?_9Ob&H~J$UHUBj3XE}eT`>XrDvHs5B|32DJQ=tg;-@r4~UW@-eV%}v+X3F3H z?je5dOZSTh+taL04?l_V3zr-llhUvG)~Hy^<%h)v?c>iB1dBTiOsVKGiad^lS0-EUq=d3-p(6;kz#c94h@?c%4YS-3+uOjZu-9hVRb8YCI-j^}I&VT~8PhJYW8gmo=CNdd5Ci9{@R?@6}RR_h!NAX!xvZ2G06PaMflv z^eWkl^kshq=Pz>2wR(M_6}a@xiF#p`0-!g6t;xqX9-Oa?7=wN@mjqXr{Apgs=Tnxm z`Dqw0TRRY3M2e-Bn|j`;3$bM}*N?Q{vQpSDdA)}1t)BNi0WLl?qJ4I! zTUX1~{(0c)NE^~0D_7F`s9}P9&i=rBvF&5RE$7Y3A|CZ;Dmc%2znVH1Q&Hv23v0Wc!RSU#o#Zey0x^N_i!Wqp=gRf zZ`-M!R-a=!)x-9ISXXj?@%EO>QO%%NK8xXFoFd~bSH2yQH|7MvM|iwjYq@a004~4Q z0hi?h=34ITp?vbCsi=SEUw%?jI%j#`p? zxl2hO@)_Lt%>!pu-hhjh6QZq;dUyj|mUKm3vASdDST1~afpb=o>Tu+Q>6RN8AL8vl z5+CE!-EtoKhWrN?L;c7_hpClpBJwv4@VO*FV5y__24s%{Pnf6 zSnuZP?a9!04I%%-CCT6IeZ1u&BICSRejfhZ^-CP|xjSH9^cOd(^G1Jr!N2uw_~`kE z;V&v?Mx4&9Fz7|@zixS^`|8?hGp$~|DF-ey)uZ}Z+jxTI&b_IK-zhc}=N|8MHs0Q+ zb_ddUFI9$~C#^z0`NiDS@7r@U-XftLt&izdlJq^tAfMv*=vtQR(?{ViR(A)NcXRKs z{-)^?=+%KBj7x1jK>O8()8JxQ6y@j6dvJD$^5eLM!pAvPsSEr^j)R_c@danaehRXj zW%@?r8hZnIFoFKVEa#bqQJiA}so(7R;4khyr2GtgMEXgIv#nmv{vBNH_9x!X^%u)c z|AD0U*md1A{hA&6WrXG8a1!;a3PUf~j+$WG9kB{}J@owzdo9a#pJDYffb_zBB=V`( zFB@aqS=3DU==#}czRs6eXu0wJg80py^{9W-VO^Z{QORe)dD{ozYNbEobat+$@n+70 z{HVwiQC80yY$W}}$y8V0<7s^r8$moMnDRNWY(J|P-DiO76%oWc1dO#@cbr6ex7NhF zJ`YAbYxaPf9+lv)-NbUsdDVmDld~}NrgS+6`Z^DZ$7crDhn}Hs>cjpsXzi+AwG zxxi{M+W+fs$GKqI3dF-NxPptS#fVS;Oy|hKEa0ZZG4lV`n9iMi8RzngA;jmLho0xk z20iOt6I_;B7mYYw_EMaFG+y3;PqAF`?ZhJkpci2+aL(!{3Y_hk3+}jl!v4dzEd_Tx zPmw-ojRXI{j>M%|mH zn`p<&Vv50s?FqPv>%duqtdH2$3*0OZ#kw<1-XqUW9jZ^(%M10urr*JNYDQ)3&zmxy zm;MXKKA;QHdCk8jpDc<7q7F!$LSLQE)EOn-! zhL4l~Hu5QahAvM^_c5Il&@Y>^0{w~^XXC7oen$QxZxlG&bu9w?U2pWOkM96iwJNw< z?uS()LZ zUi4UP`{nzFQvR=Pz5LHW-|_HNf+m)BC5jmh;@h(XX?*0>!_z&<4x($Nc1T z{5$P4??$hJ&tHM0e@M@bqUGh4(Dxiq<0`ig{yL^oun6`YX_1B#%!-v&Ajd8JJ_ZA|a z=2sDqsW+eUnI$5@a#56?KXs>-H|#Z=b`{S9#-$g|1s?1|<5Q0#ZM#$XCFObJX&P77 zt+{Yt3Hm;T&t3zrzE1PC+*GZGc*MwA;ChJXVDPi+Xj~=RlFy~cIpBY}LeF331(#8gvQoeUQxVYH{`><3`;lumh2A3C8gzcAA%}e=-T8MS$-27t`#^plw zBX;}Hcu!8~XSrjR!-q||g*xXieHL0DXAaeg^Zp|B8@s==<$5%|f61t~#5=r?u|8(S zeB{}AIv?YekL2lSDz;4Je6=(Wp1=y~TTj8{1q$67rrOV0`FL38qdH+vlX{b=7)ubY9(!zac= z-!$X7k<;^%;*k^3Zvxdh|9FL-XGYYBu-ufcPI+E6gXZ_rPZK>YUl5CU1h0*Jvg{X7 zC(2_WxSo~+`8Ofix>+Bms3++=mIG(5&DvWZQDiANJ5dgCI{)(>WA&_TZK~Vkyu@>) zqE2-8c=EsS19fF~J)!4^LJ8n%b^)rB)^Gb-A6bK*!)U?0N}s z_U&VsJ~1?p2DxG@s?u*Zl;{xuZbxV)QSxjGdG&i0K4mm@Pp zLVvCcxbyQ$aOEC^bs_uH_XBKl3iTUJH!-e#ZUt@jg*h$kp)48tM1NkxLB*x1N zRakGiOm0B>#8aq$9at^ga`k8o@l4ObWm+`OLFc#Q;5zjzxcIkcE88!h;X-*k7Xz+7 z=Ida&u2YxzU@vec=ClQm_60WsGLipw0oz&e$E&p|I6;&_vx8M;UhbS5RdnEz&TypPtA}0gzuP1amM(eU+$4>q1Cg$vQnIV>3rdBnjs#R+KK!B+pi+ts&ci1@U9wC}y1f_+T4-UKc?SE7ASDV)n@#_!-Pus7)+^^b(l(D~q|-*#~M-7^aO zVb}Up0$n;c2!(iF=7!#JX?n}XAx~!sv0N4FL42GK zIR73__11nRxGqxqhSi$^)s+1d@eL3UU;7z)alT+Qe8$fJ7fbqL-g$sC!s;cf10T^~ zKJx7Nr((UZ93@ddOzg(F%w4_rpr0K0LP zmOFpa@6)=TA2{!HdYJVwjn-4%ayLQ0YW-h$K6KP^a9Lm%`qdNOueLt2Ijtk(G796> ze$`Mvj!B?#eH};nxw|vQ`tzyB!S$JFaC6WT>&2-*8Jzjk`@7s*hQ4>&{3p1qeE@pq z-WA^)sMQZiA90U-#{Amd`a7-eg7dnYz}3tu0X9z6C5(JV+@(5ib!4g4t7~h)HQPe^ zkZj@bX)>LBeo(*siK_$d8UW6^U4-5#wI1u5kEiveCxziTO&9Jl+Umu!sn9F)9P3)| z@Ize|dd4^z63`ib{eBjgg8DaYYl5>iW3gUTi-K6cCaM^? z>A#!SMfEU$>%&g{1AkFhA)l;sTnp#B!B76#nvPPjFej)mY2< zlW{bz`)zLH`o-{H;PbK{#dEa}^2y7@PE1PIYo2kgZ45)+`0Nm@BWLD!@>!7=dKP$L zwe@jcYyy`%n$W!b@IXHK&LQAV?S>>ABf9BE? zdQtKt#nZvJ7vib>E5+Y29{FThJg^U|H2Oa)nST>}*v2Qwn_8N2P6g+JUaw7CWPQZz zYUr1RWkZ}|TDE<*U)6Ll#rdHq`gQb~$(Hj25?oG9qIJ>3W2N=c^?#@Q=NyWyy;#aPxW?H>&+l9tkw<|bb;+9~!x;F=0F8xONJei0%S)PnK zA6pagh>3CItX?+HSa$_0QJm|#Ot4%O9)mcY&1J#a;oX>Dr^s3OGq*R$v*>r2`n^04 zdhtAg>hr+j2*eX}fPA9+6QAEG41C3N(x0OJ!F1gOJ!|Mj{#&|0&#Nb+Uv;V$@lK<_ z&8M$3tdHsT4O|B|Mm#L{t3>dF9;EkwLHcHEqb+CoPNH9Pr4~J>J^kz?rDJuS)*bgw zqxDkyJf1hqtw88?jk2Uad~&|kI~C*LFMjwS&nD7;nf2!tdx4v~jOOdt%6Kl~na;pR zE!za{>@V2Y>g8`=DE^`OXk9#6w*x-j^jsnCr%?Qr@=df{Z=wI^5x*~|eQZc0#3}#F z45k%`*|tI{JSqGx!qKTf&V#)gC0ZdI*Tdz9fq-L>=n0tDsj4vtZu&>?z1I`|gc+oEx1{SF%|v>`N@@1?dN6 z!M?|{^z3c@)i0$<|HYN|jSs_U{Z{b^0G(YY_urc#|uJc#{4HlTA^M$zx@JSbJc$7>6GoX9ZfbzmUYsq?84 z_F)xD`vaR_3*Q51Kgy>$6pZ;5kCqL$K5}v};@3YuV7{Cx8>8&FoS13gV#8rtciFQg zSZ-$1^QS0z2b{(F##t`T4TIj<+7DdU9kbeU-k;7>HM>34VXv(Dp}(E+9_RKF`<{M2 zptI%D<6rowqG!Nmp&5le)49{DF2-x}XYit>DE>C|JfKI=|1~-1$6~&m1<|D6MBh7^ zdph3wh%!}>ALoG^#w)zSXg}#b9C}%Q3!N9QQ|3XxuL-!i^$J{f?t*!79(_WbrVD+q zsH-H5w|X5x-&64_AD}nSw~e-3mZ#@2X0C(t3FAV*bM~e2*4ha!|M3pA+*~h(IQ6i6 z6lbM9cy5tuCFv`>pgy(#eLN>SDV@M|dk@qh>s<@$PK_D_ZpvTByvS28XLH^PU-BgT_0tAo9i|X&-Z*1cEzW<9%%&bg#Pb(W&%%s9arfB;vX1g?Zth zXQ8gtlQXldo~hp8&T)U@?g6vGZQK9<`+qJ2CY8SD)%jOoJ(;WC(e^!vwKJ$Qu`-<2 zxBEZQwyt=$(pYb@FrA+w+%?{EIrTR5EPi#ettU}%64r$tQIpoEAN`&t?yX-7{ntWqa@U#DNkk^amY@^6uOnbq^b9*9Tn90e}tH(q7A zsGE4h`l|x_;m-=Jn_@ZpScdq~jQ=AjylH{uI%yg>Pi%;OrOz6?f5{>gkGl3R^;`D{ z_9YRu_d5L9Xxcvt&Zh4bTVJ_mIrp4N;|lvP&ib3Qo#1l9E6V4Q2H;}ZTjGregX>9u H#3ub8$cN3r literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/0.npy b/MP_Data/pose1/15/0.npy new file mode 100644 index 0000000000000000000000000000000000000000..da3e0126313cc80a1094f3a16383995f2a286c5f GIT binary patch literal 13424 zcmeI2^#gIs@e zTpRhsqD%?We0UE9rui@)9~(fdo^41odkP5@a;c)&u0hRwO4t*-Bo+l>ATWxyYuBM+F9^rwCim> zsJ+w~%dVSma^TrfkO<$dkxT{Z4 z`yVf;y(P7?$luW}dVE4VKl}>qDkwAm&9@O>UUNhLbiU9l)?XWnFI%6!jr{iKNk*Jv zS5Dh@){Q=|$468DPxVfL?#L@++r_HP_TyI(Ulz%A%eJ##8`EsNj?c_*{;fxri>^JW zPC@^iulx^p|yBgfrynGGU)yL5fXV2Idwq2=P zG`_8xk>&7=01=1i=L>5aVdhjs(T)3wq2J#_R6-)Ix+NlpDc*af;Qsw=6%zP z_dx1tqV8NBMg2_i<1g{~Q?d9wzvhE}i31hzc~Pr)l5KZdoI$>9T-*)!jC=0w zh5qOq68Y*d^u~#+c z+ymTy?Eb}GdEf5a6Ed!1po=T+FSt_NJN?lvdXGP1x!y6c60XV9>GOvdW##sB*~_D! zvU=+CCK>m9`2c*LrN^M1@B9(>W=dj;ZP%|gKJVNqlZ|KGi@}jJUnZ1Ex9v{-?v($^ zQfQaM^P{fjzbV&kyIL~ozRiObI)!$fwaJnMdq39uDcai&g`TCnL%W*qGTF9^!mD1{ zc2T()=A{_xfxKD%GEw+^>?hhc3g^FR{hgh6R$8vTzJT)*TfzCsZVRBFwiR3sDvI$| zJq|3lT&;W!uDb+a9L>IRtDxWZ0Gth83cYhX1^y=OIQef|jCspgE%-b9SK0>(odj1W zw*oMhT>wu_mzMK#B~b_c z^HLhW&y^8Z^eF|-FI@uX(i52tZ;nirkcP<`eeSMC{l-sT$Z6P>GK-8;>*HHH6?c;Y2m zfy?-Ht-=2t2CgH!g0pJ78d)FpTY1u7DhSTcJPom&bTjz;?M9=MM9|#6&l7{&N^-c z=PNwGRnuB?EO$0uhmRic7V}?~8W@^jeFCph+&t}R-T7Xo`PTL!jhELGnuot8&b4~I zXBoI^xQ6Co%rKgVCxXFsTo%k9cEU`vdXxVk@lr)-zJ2^O%W~Fs3Hj8kPkh#s2+N)A zwZK`4?=i139zb0zS5N){H{X|}`4fB+>y+g`O8%oKqhGS;t9Yvy(PvQyJ^3icg>4_2 z%RPg$w{Fn$z#3TZrur{oh@0M);^wIWf06rfl;u2ygR6BHscz=Me9PH{pHWYzb~Vap zevZ19t4@0e>G(`S&{yt_E&wVSSWOcIeH8d8o6zcD=UcPN~)KceW29 z?plAd_2+%YlD_J2s)Nh6c~;M}tfPMAnnV5Vl@oOkPg_$yXJ^5OH_g_`>dg)T&Tj?M z__p=;w_LVLrGEL`M;&Da|HZZiM)ubJ{&>6RJX@ew~;Ndzp2GrslOG5 zfU7*=*l+o@rr=uaqVr0DbL3xbCG|I;GW5=#P2=5dp6|j)@BaCcz2_l=F%NmAO#Pn` zRL@!gqiws|;0GT*qy#uudl$gR(;$B~elymE$^Bw}LWW*X-9kL*5v{N5cOor!dQ1aX zJ`U>RJgha%auqcl+@wxL9c1@7tUD3bjeMdbXuNti6!7^w09j4b>OQzUcNpte^*l7nau)a)+&z?yaCViyLD;ut6NLK*FLB3ZD8|L9Lgx^N zZGm2Y?gBmU^a1l+9aus8Ql7aO7g1v!xY%Et_P0EJMxs7>8d6+Y7CthvB-WRcx*z>j zW5;5>F!y<3?zWyTpTOngA=t0@hWCA}k8$}8{?3X?SFFzDY>oBBLi@pA^!KLoLrkGz zRxdx&{_LFbhhBeeP5VIgETmtXh`6TN2+qI%4w|G{ z{)m5OAM)gT-B1U{?oP8@tSm$Q{c;%3S#cq`m*xE2Bj}x@!@yM|k08rc#SYNx;(Oq) zzZAiIU|WWOtHc!4lfCqhPRP*f8sp)^PH#tCb+-Bf#BKa9xEa3;oQIYhW4WA6b(5zP zXuLN2;XI>juR*_5voYY#*j+v0zbSM7AN)PIEZMc6<@{oK%JYY9$WweMk2;GV7Epg5 z{)2w;Bc)JhHf1UD5lMwG?k2~gc{U#&zZ+a91wt>c?V4b@UU-Lm8u`+E`^81sxK3gt za5f@|@|oq2`iOzw!-uyXfP8qLWm~L|jLLkD+-XbW73D_r(5V9-)1f;2ozopASbudl zAL_ufA4EP*p5d5>a&2GedH2z%zX-mCb>~d!PjSDTPqFcwGOho#SM|08^s?qe_!!@` z0LxA7nc$*+ZW_m9omL?3rjCf~Y)i(x)onU1wt5}nNxWE7oZnPZ<&~C;lnzw4nvIaZ zdhNN|a%bRsa8b#H_Q}?pVl7w0J;2RqH>&f{p~SOLzf_5R@aIc<1zWwGPUkc;XgvH` z>Yc?2mR~AN{R;I){=9m0nB}@a2>CY-p*s7Eh1N%(8G-ywzDJ15<~8mL{@)64cJBe@ zGxw!qIeXTJ>ipX->|@SPQ-iF((Ywh1jW_DdgStgoy=hA4f9*x@jXHeoB+KR3f>h_H zr_e8%oQ`!NN9;vhS$Q$_H!fnC)jOqVKj#CMV;|r<>R=xbw;SKJ?floQ6h9>n^V9gB zrheU|dCsm?t7~<-*eh_yYXgmY%rS3#K6?S=ql?W4=Lt;)BW~#_@D(q6f;&FLXIsv? z-iMDEQkrM4Ct7UAs0KRfwQAINS|#K&bR!}9^h)~&){rdrK(nM zt~Vl|68*tNSe9PaUngX)qorx^=UX4Hvz#}jc_`Z6gkB#WG01YWIy>s)6#E6^qCTZ# zy*t_m{bj$O0e60l!*f=37!7V>I%8gmnBGw~AL*Mw^$F__y*OQFzU7YVesIzFCiVBP zB%DjN&lcqG_%^5UbxXv4;#AE>{s$+4J8cE_VfFC@IPZA_T=$>Ctv}EG7WHT8>#<(s z>8ESauaCJ&pQ{`C>-Y}$wVdar_iNMhCg!=?L+|gVXcN>y=S-q`wfwOc^4~p}d|JJx zJhOkAZhge`V8qp~>(F00#$`49Cuz!`cfkCYCE~HasnZ9*_1?_y+uDCO&HA&uyTDbD zCVkfj(=AtRwt+jcDD~@e(p2#KvEZCVgR{TZj0P`H=LEg48+^o*=3_1AWd}kp`epLZ zqsBphvMcf9t)SO)Duh~YekcmA*WSP7o^h{p&ZqOh#KJUQYocjv4G{CumIu_5qLMRUSOy`2$Z{neOBl+S>Y7%x+6hmYkV@+Rf;>=E)5Z)e3?&XeLO zpXuXi-@7~q`=l6gp8VHlzAw*Of#-#3+MjsRy=0q*Gw3VkIiKAC^G8&pc`HVq3`X2i zwZPf7^2mpUT@A8acS@#w2G;}^6aEUcoK<~8b)HA(AN9GEAL0!Bj^h4&4C~I!5*S~V z?N@NUEEV&?Ia|fU>cyM6@DWc_Nna%xah-Dyzqni9GqXipWzop!ZF4t{pv3#bm5&`SUUI$#RY6?W%-u>%*QEfe-Wg1wJ}u`WWQd zhxGEpdWeuWu(2FG>;IGo@y_LOwPV@GOiAUV1 zv(U={qrlZV|3L{hAD>>xM@;j=II8Dfc)wuz!oi&!^nC&=m$=;O#pAx<`d&xWQzZs2 zwA_56^O6i$PtQ}~rNB28hu)N4jeXAyI)L+)j!i&5yi*7`3rNE_isM1xT7-c+Y41Ye zv$ZC;*|vdvI{%7!#hYa#{jN9Uldd}<&%EiVn`!$E>%!D-GTGhcU#A|p?3|4Lvc-O@ zEN3aSzT}iEv>$FA8v^~OuJ9KNUxUjmDc+XrB8qq!((BmQ4HB&X-E?qgL=^Nqxe;$IqdyB z>!V%hec3rVl*TdA1MAe;wI2RFXJP1_!Ch!vX3%p)Kl7q-Trw{f`RGi25qkeM!#fdg zPWy}wSP#AEpN#h%?R^pcs!=a+-O4l0`mn;+D6XRSJH5LM^2zvK9h?oEhH+6R>iFA! z8BOmCCTt_P*f_|``p6U1Unl)9(r@=1gFN%OQT@$ya29uQnDr6azoYsW^e25bh4ZQi z%YE0j>$WdxT>g!UhEGDpdzQ0#hiU%woiWSan{Ter%S1YtidMt0AF9HKp%;JVxomaf zjOP;4$4*6D{$Wipe0!b&H{lb&<>E18ELS%_Q$DBY++toem6pqu^(mk2uaJ-0 zc6^TICSnNm{A1?(#UTlQ^MU-u-K@}y*b}IyQ*aUVYGP^f>0Q9r`sj$S_8p!(;`LMVDN~sCv68Vt&>yKy`gaT9qrKT5 zh+Fu%9@0-gZu~+`R+1xKIDhmOkT(d&aGpl{y92$id`aZ3oTU)IHcgom-LM>`N@w#~FZqfMuIQ`cTJjT=%Mg&u4l#mW3qUozhZ|6xPH+Roac$a_wd}Lg3IQK z7)Q3hLm+(q_zPV4Xd3tbUiw%rMtdS3mUf2L`>xC5Ea%zhL9e#mL7myWj+j?$E^)Tq zkLuIs$)p6Ece}-;ACm$f=kGZYmg`2F!I|s*3)WXV!)X4r_eWfQHVySuayHf-JF^^m zr=1tL85xdo5nX1GzT%IFD=J)_2fse6!9~s$h|BlAUtzg3jnqP`VBHq6+t)mSA zwBBo++UcI5=dl~0S4A`bf9ev_5qWmpO+ICBARqp`ZZFH#y5GQ^N((XWY~f?9FSa8B zoOkr3`LL+Aw0a)O!SyWqzloglJ?5L!FP`+>-eZ50= ziKpk9b9y%BgK4uL^>mI`r*&G_^P<(sdxfxGblCSa{~r#e$Jak@l)zH>LdJd!nAqZ%JrE23Pq;f{UO)s@uBAC6==scj04tWTEFv&9y76k8^qs z<+G#~`5enn`$=+paP{3Ba5d@^o+HxpA?3Mg5x8mDHrV>`!ZF1A4kiD!S^X>*&-xSJ zMeoaE_aEQv?;QB8cXXbN*o6M_pU+1k&yr6l?u1^L53=^#80*76(Y`0@7DFA(vd#-E zmpAG668e4{nx7SB#lffdaKu%=cO{?O5qOTv#-HKO+b@HUtkG|W^)Y?uebxznP4%C5 zrknMVKP-ih%)5~4`RHDN<;J@Od|0n&@+o_n>b8%bQ#>^f^v;g#i>#h6D@yBe=m&6} z_z`hcI-O_C9T&uvJ!?+1`7pQURJV#pX#KWn83UhQ+Y#64O#e5Lt2)M6z0-OpxU7;7 z`x`rSVU6X|r6l62vwg|uPWesnZ+Q=TQ*s3DKh+zrw%la<2VCr$P4hqPclhumI!~%R zJ#h{cN!cRcv#=25*>y1O19KNFPOxz|(f%fm?L%DN={?><#h|nB=Zlh2H}%9H=La_9 z6?~jHhB{>YzYOzDc%C30P@edzTH|e8apMBGEWv2~=H|6+T)pTS{LO{csIy9|j{2xC zwC_oijQpJiAybfl|GJbmNM9&Lztqk;f!nZK+Vw=f7CJl8~Z?-J6TqTS^zw{%TpSttiQP6i> z2CjMt)J<0$7-Tu?LG_W-JZK))IRriH@RsVcpgq+&Aq8596>fpI!?#&HP$ncSu=s7D2KScf6qDR>O z<%8DH^V*f5m)Sk=91)*J!(TpVg*x+?e5k)@-5A`={sOK>-NX8F-fyC~U)N&1_)ON* z<|%sJraY_U#C%YDMs7yGc66mWl)Z=i_3a^{mhDe4SzYf zBdzP^w2t_#vox<-#cs4dOpb=0zj%jrr0d@eOUS^gNI1nUR2KQLraz%R=4$47zM&7e z)8b8p)yovxXSmM>();a@mh<-;DW4|vyCeBE-QRMj;dXGf?*QV8{4<5+ru|WH-eM!T zlRUSNn+F({ldgZuPIX(zyIo4(nQ13qT!|M=AI?^*>-f zn^h~Oz-OETuHTkLgqT+ug{ z=GE1#%aPC75A=OP(-ipdv)3ouxF$Y{;(Enkp0GPvyIH;R%L1-^yJLLSgmJVF->3PY zvrNOjWQuLX?+To3Q=w-a^J3ghmVf-Lzf+=SW)u)T-3H|LH z(Ce#tk&jLe4}tzkBl2l^9P`Ia>*i~@{_>6DddI-WRIc?Sd}`7DBNy)n7eRdxS6o{G zJx}k0JXOAM0sRJgpOqUfqF>JT|8PFh?jkcEI_L1?zu-NcXRQX#<^&>7QM?e=wR4u< zgXFBK7#HDI0Q-Zk@ECe^@Cfp8?jBP%e<>ot&8?Bpo8B%skEwp>&%i!wC z`1#<)=^So)_5zpZVpdqrjyHpkK9KqQqN}aH;P;lU3&6#WbnL_CT}Mx==ap`N^Kl2k zofDyj+%vfILvhM~`F_$rT@+xsc-oBWFrW5wQMv=hOZFWKt{d&gycI>aN5Q9YA=JmY zo(=O;ROpZWM5lCwp83bo^P(AjFC^AGQ`gapi=(crP>6D}$@T^}$8k2^e=(u^hOr=nd}VkvN~Qtn^+Z zqidjFPSY@|TRQDy@-%&4r&2y)KheGEoar2&L3PV^aJbEfm#%_wku}30>_;hw>r zef0d2%{vg^-Dalc|Nr-YvjS#dDXeq()0A{O56tuXGw^%x^eUL&;_Q;!maAp!$0TH2 zb)*O8D|eya%geB;p_cOz^J#uBD^2Hwj?cp_XMOWwKUIG<#?_e|gZ)z!eF=a0?;d*2 zjwwawsFhpcW7@u;brI1A`-$3E7oXP+yMVLAoULqLrsg){J#WL0nMWZut~z&)o;Mu| z(evWZ?6a(1pO^$4pD~W~{zKs}i{_xXJ?MAoY{pFNpUzt97ax#H>ucmMUe=$FoR7Mh z(2t1EWAcYuf7UGxTos^w-rPCV$#PYy9r9s)Z=l_|?B!>DM92+r-XrsO4tuKyTP_#S zd7W1pPWh+o=mP!R-;f8}LHm-4+BFLLu3_N3z<&72{#8a>&dWRlclwT^e7n1kO86g+ C4Af`< literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/1.npy b/MP_Data/pose1/15/1.npy new file mode 100644 index 0000000000000000000000000000000000000000..611dc9d4086973aba383252759a7ea455ae10f47 GIT binary patch literal 13424 zcmeI2=U-Jvw1!8cvG*2R7=tx-6Vcchv105U(6EgtR_rJWI*5Q`#fD;GtSI&pyE3tB zRIJ!g2W#wN7o%S0UHk?2>%DwAzx~X+-?e5<+h=p;weQxhqgNId$Ro=TsSt_+V)rup&X}y~K|GAcG{Z$=`Z~j$x?fuN} zI@(pfWVEx!)UH!nq1_ph_o~&IzI4AClzIRA6vS5zYh1JKa_E{X)}LR>%s=i_s^z>! zQS@J}x_a8SJ00nMkunSY6C1~-SRGq&#h^VdGyc`{h;Mq9yk*8lKM&&mQeU50 z&fi?RXg_83h0tlg?I~zC6G;Dc<_p_y`lY?KpCZZijBOX!{f)iW?~hR3{!T_eWSiJD z+wQcuh5JSE*5osBn@w)ZS`m<}@l5D&Aa0U5_ zD)NTq{J{|FPsups&+jb4{k-GIe{H+SGY|b|$M$Ws_lu}0q2OCu;Xczc0_`er^=8Xu zr{~kr9(d-F{dDqqe8F{s$EL)LYj$BnMSHD_RmA<`Q3td;dD2^It)Kegeij^!cCn)fu9ffg6x;69&~$%j!S953f}qzcXnUxH%P%c_;Jtgui-Hh34=4 zTf_(cJJROGYOEr?XNzQetuNJ>Y5f_CrMRC*T>-!4J_kHvAUHpe7wd|}^`C6HE}ECt zXV_}gLGD`}ZMg`_2d-Y;qH)b0I?HmNKzi}<4b?4s`>Eh{3PW#>*Ty)?!}B66cNP=} zm%oiBo-!VK)wDF}SDyek;fYbu-}@0<`;^7HQ)>!BuU*Q4vwo{-Jyv)*3i^Dn(JvVg zfN>FJzQtKCzZ?SBYAiUbS~A9ReZd9uLiRj}`tW&6m3szP5&xjh?A&kIPnpXM0e#&V z;(5G?e=gS2a(3fSaQWPy_~x5Utq*Hc99%c6KzzE_7|YF%@4hol%vDc=`^)B{Pq!xyco_GL0;=|1#%QdSEAKq>je4IKhR>Ehk z0ynR{!R6g?Gc1=)&r&`Uv!VX{uX#aC~Vg9Hgy)e(k=Ib<$ecyo_KaKg! z>rDq|5u3pE0bk5RXX@eL2ASuVFkf;)v8(R|x|Fw}CM zrvkYCp)lr^?p~s$<>KWL(l4!!{PlrVv=40B32uTGVqJ^kmsVQ6(^XTQ+tWCjwjT?- z+qkvML9gmH#Cn%I-vq;dzX0b4>XQHcHS;Xz33W-oB^Cbq<|eF1$D;!3Db~9|Z}wIF zVD~XTIstm=nFN1vHBG@^wuD}mDN6GvC2Wf2?AQn7DT?}n%Y3fmz(c!$I}2xDcF&NB z7?=6>Q#Y$e`3#_aMm*Yyb;|P?`0J97$p7BK;Y1k-*MumoI;S^};DFM#v9^}%JqY2?2>Kh~*v+=2M4VdVdy zVjr82S$-aI+2F5O?`Cn*0L%IHrsUs+;)-HXvn^Nowo=`WFse_faLgZ_D~|eGa1wk( z?rSrwUi?>!`n%u^?W+k7h9K^#d5Ei4G^V)cPmOoC{;@-$S9=Ph&ZdYQOux)!*KpE=iZo^%2En^C*5E=1PhG*9*~2Uj`LXuZ5Ui9F@8KeP7GXM_PBPRbv|88(Cv5m-}Z!&%&#c{?e6+@HtNFOYHrD{L?xiPyXgM#jQ!} zT~xjs3H`yF;KDBv>(^ZO83VqS^lV!VaGpI9=ZJGT(`V&H_>1Vvn9pJ-I2+L$TrWC?bX^e~fX(_mDb&oGju%GPJQ{pTP>xg~ci1jWyRfRu$vk>b}bc#gXnCV7&X6r@s#H;*3 z>u<7`rMRzxpl55t(O;G46?~k@*AQ2(Y=?PbzG}+9LN}~;9{!Ndk)pqX^HTJjV4MJd zo2QB0f;=7F1a&Y`og=~X7D8O7`FWhPPShnI%jJRF(Cc5r!HtL?X}LP<0X<)T9Ota* zo)`Ou3ZiqI_j-YP$~LaCi5YsQ@F@70JV)r&r3 zjaSUkmX;fjSoF*M83FF>O73C(mAFfFXjqQ8X9Vi6KNX{Tw$YSlp>*try4@7wo~h`U zPN++DUN;B%h!ga@Ee?I2W8=#GH15vp2#sjE^w){K zNaJ#7H}X-wU7gb~ zDfp<|_mazlxTN ziJ9knnH|{2*tk5yt-s#05&n9OKk6)6ot|g)rod6EXSssZzim^cf@Bh^dtua}Pe`SlOzm(x^WTzL53@T7H;UPJrt?%gy%ftIGUGKGg=I zzfRN^2mZZ>!G{ffhIwvwR+|f-t~5`0>kIH_17EkcT&DJg-jwA8L5xyw;2QgUby);3IxH3C{L*2WKUTJ8Pc?T7R>Uo*VV~ z))cqi?6H>1s@b6zN1ohrw|UH|Fv@aA=A?RViAR6ck{!XeUGAg$h~ceKPx)~Tp2zek z`hLVayQ2O)^+-qS!xt8&d|aD=s|U&Lt&bC&IW9#TQvTT%jkJ1pJwM{A9(BNFgTC$H3M7}h{it2 zCmklA13ieJ-WUV@Qrd4-w)Z%{jJgpG|HN9@XS4^+Tm9@R@>i8AgNxqfk&klygSdMV z<m!EJ{;Xa`)BNAg z18jfQqXvj;-ud7hkriuWzm?DTz+d>@Mn1grwaM0p<;X+&4w?PEFeJ!w{`N2Eou`{H zzFeI{fBC(WSYNW=c;v%7pIQk0P=DxE&da1PkS)w|ad0{G&dV>*8&-CedHG!k zIAeSL60N>_N95xqIrJQIxf<?4EHg+dV_woHE;yzqvadTs*811pnjxz~#z?;A(LCc*|KE zdY_;h9RWA)S+E{6UXY@{COkjpKU*=YlhupGSE&vKi_v<#Fdp^MlWURw)>HIX1WMG0 z9i#Onwm*Vi1vSF+gA@8Y^3grBL$B4`UbY`B*8<9a{R8sP+Mzb`6jzBCSxr7gTYFfp z19GAc=9LdP^ZhC;H&togI%i6gPnNGuEtktO-~0LALtMVtWvhDz7dvU)$t*Ky{*T#3 z=SzI%_qDVT(!Z;Mbt)Szqxy>q&@<1P7#Hb!09?ED1?MN)EwgdeFw&a^^!-=I>_>B-ZP-Tc%1yx=zXSXlP%729{mqETT0*WoTj(1pP17e-08F!80M9Xdro}aFv_!6_lZ_7?^cGtKKc#$ z=xt;193^i0kbimz^lHil`0Kd+;JhNeH*>mo`qTQTe&OKGndZYTR=RXAz*Icbfyo}c*_+0X){+{%vewApAb4Px<4}Vpr1olIIt~z|=L09s5w48iy zES_n7WaPi#Vj8Vqv2N-*%XO343@&CgrMSmj zu#d?#-!T83UX7{0e;ozq$GotQ>5}ySJm%>J?kw7hbD8H@1HDWhKzz*9VEE_sCmwPD z-0b)@+;Wqb##aR{_O2W_&C@7Q3vBQ ziSqI30j}@t#yaKihf@7F-ogB5pJz(=U(H4OQuO_r#|J3u&lcVS7p~2bk1lW+aoPC_ zlxMq+lxMY{e60`rF#z0gN?x+p#%AK3%`I`;tL*ZK~! zdd~C0hgDvNIVL~-+M!FkQ=7u*K_00%y1bs^MQ_}4>!^^OMMvIV_&(yqVE zwsD;z7s1)kWANw8u3#M**S+A*ti#~a)whrJce*s9xPRWndN+Sh2((<7Fw(zEqj8LG zkN2)TnCdUnN25OC**A%}2~(iw^Pa*-9omcU`=;R{a9#4l1?y{mzv^c{<=oNfG-_Q~eW@%-cTJ_ar; zo`hb@fq0(LwRREreF`p`Sf!!}fs7a`$`NJk|cz;ClTd)R{#k#aO*lb^u;eyEAwi>FYi~ zK041|G>&O=!S#>t!JUA&qiy~wcm=pK* zA`?D?t2Wsm+J34Nf!GIRdiW0X`}<|&^IbC4CnmNf;zq3lm$8|3Tlu=1R7;b%zqjBmHhh$VZHFwC0M^^z+-Ud z@@}jPXHv$0$}?`0h0apk-CL>7Cn`6$equu*a9P2P)^-0q*k`0ufb?S)Wk zPh0Z&)GFCt%h-L>?Wd|qbyj>J&I_J*^n^s~GdA=0Lu=@F8tP(XjOEUk%kWV#dFgzq zd~KQaVJ||!O;BTScJTHr%k@Neikr3&Ts6xP3Vrt*$kU8m0q*?q5B61_m43IQUeWtZ zoe+-a6LGN{_3KG<(yN4;HXj}I7|&_uWafLPV{Wr77Y}bEuDH^l=0oN7OKn`oWgO*y z*%ftQt42qIzsU`M=a1f)Z?Z~N z=+&aElxIaxAFDTKrV}5#0`pM6j2U9NF7zvWoUnNKm`kOwZ_5;4=;iT}G;d4fT7bA8 za$-HQ5%hm&=jUUHE4wy=o`+|?H)z>8*ybZsX&=)~=>Mm>Sc9eTnXr!PQ(-9WGx0TX z{>t<8yei8T!~Vwo|6XH#Shjq$58NC?b!hNcg5|se{Z5Nj3Zng|{|~Dz*Pjop_V&pYaDM z{~sQrZcblA`RAnPOeZZ5t&3ODcy1A;_rRZ-YT)L6)*u_#tUpTmjLeEU7?H~b`HOq- z=hHXSc)g2XZaE*ilJt$}eHyFuYzp*#HK1ocU8rAsQx{n-=MMl^E(~0boT8v#G6O!m zha2V7>g*WHokD%V&Bz+ye9exrmU9L3nkJD%fxXvxPu)*gDY5q*GY$Dl0ut%8s2eZ*|olsQxEteQEb>s6Pw*hV{i$ zR>4Qz+yJg`?(B_x4qro_@@fIh2T|2?qvb4TD~dbuHS%XQW{rcsdr5FvEc5p#6?~8< z-%HQ=tZf{P`-33F73=e39q}nwXL3*37r z>3uhYo2X$uESLQc6Mq#=dhXNBaxwTdIFHLs`fxXQcdKu>8ub(xDq~$c`8n#Ke#-~F zxR~>r)v2Rd@%+QW=-lL^Gk-61$-6szLg+mq&wCT~H&0XOyhvUMALT{ApD{_-+S`2O zxxI+1m#n3ERq8~n^)b7i(D(Y7%=hXZMWoe>=p*oP-0AmMqUHUbRxbv{M z>QL|qxN2TdT0MWZ0D3dHFY;vdz5lTKjNg}1+}f$M&mVJ{V!6!G9X{s9PRuLauRorb zR96>pHj;ivDm!$EfWK=qa5Z!W<^wC$A(l{l|-0 z_r2a&FQUvT;t6NK)%to(;lD3C@@G>{fwM2o`n%h>u{6Fs`31Q7yfwsf;noX!r{8hJ zRnMQywOk#|g8Jye1!#VX2kR}DQ68j!m4Nd?9iEQoJ$AkjxM=(eT<5KdeOoO$gFJ;_ zF8Hv<+XAhRPN(mWJnt9M&vV0hVW!gan4Uww+jMTe^@skC+SFfvdM?!;vf%kmKmLHY zGMW7Ou|7Mj-n^&%jWsNY`Cx98!gI1Z=L#PujDA-p=6hn@=}y0atIPEJF*W}Y#znn# zp}14&_hT%5#L`4tpKA5N*#kO9*wLsZmh(Y0&sFPIi0f>A5efb??dPI+8*o;m1^juH zBIMs}5V(wPkLMG!mY(fDaN@4fS% zr*o)YXsYEh*+0n6EA{0B_BHm9{$H%>4+{YwVZiz2-?5+b8u`O47sa1|t0{rlSJlAu z2+L)~WN_JHA@+0K#T(~{D7ymdLAyElRP6@0chAt9bB}S&gDc}cQE^2u{67_@{o1=K z^3_X!!Fw1kSLk;&&gDNsE$4gkARiI`J?>N0S7Tpd zpQaJNFqzirr~T1ZFB4AVTFvc<`Zz9Q;Ujm@@0*=~%(^Z(i01^Bk`BGD&<1{H%vJIk R)Q$4)auT09*==6p{{XT~=$ill literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/10.npy b/MP_Data/pose1/15/10.npy new file mode 100644 index 0000000000000000000000000000000000000000..f97f15c9380394072d16589a29a33a3c7f0bb67c GIT binary patch literal 13424 zcmeI2=U-Mww6;f$vBnZbjdiSGM`IUd>@9-5mo0)V3JRitpaUX^ilU+h6&yA878P3* z8B45*u^`sO!ETJb$7l|7FW!IP{dx{xp5JrLz3;VVP1}3(EcWW#y~n^@Yzmv^>gyLY zGSIaJcl8+6%(V`89TgBbIdFvk@PI&HKg&Cg7$4-9&4b2_nCO@N-K{~BCJpPvMj@(Yq{xtjkduG4$_$ahHVt=OnuA9!zvhDKjXSADc zkI*g}q)|JMLA(B)+C`&o_w04ffnU*Xrp!XSxJd1Ka)&#%T^0V~3jCjRpz9k@e5cyw z+m?%iO{x8IJ8JJp?dqp7)c$?~+8ssLn{m`G2j4(^H9g=e;^ew{A>HP4f#S2Ej4aEY zl(Fc)@bLWAwi}+I7doG~2Fb=UjiF-xJ#|i=BIFKgIf=cGz~F zITqZkn1s5@u)OfoKHZU@${UOC&fFxrZu^qg_IiEc$XR>6ewmDZ%i%7li%#l|I*HZ8 zUfFi1>up@G4t2+;n9ASU>-obUP(Sm=<(B;}zpP8w`;|c*bnD;V*y~N7trXuY55>Rw z?;ERUKBF>hyR7QaxHZ0py6b<3;=6v@8`q2FbiHCD(NEn!9M=o~WxvC}Z8@q}dH?Iy zS08$Y>-nT5$e)khjQIL>--ou{M5Utt=G9$gujj!5k(Tok&5ZpNM-HIf>2Y|C{m%B9 zIrdY3mH7bQ8~T2-pYp=}#p&6f!mVBnv{$W%>zx4+XxBYUZ?T-W*;fVao95tp*=R{_ zkRsnbp6Am+#>tCvm!t0A$Og-VcSi;{kY!QRw<8d*Qs4e-{Rms z+pZf;q3_4bpj|8oLOsl`-!g4G`*-bqn}Vp zKa59B8t=@&<(BL5d7&3_6!PY)My;`&)p!rR^C|^;Hl-r`W$6rX`Tfx=p4l>|=K2Jy zH$yvN{H1F{%tv$Vbf9hLA1E%1_NM)(?Ke~r}nulDrI`y*hT+7w2IB?a{bs9T=uDfb}DwKr}@)c zSiRn}3tSCfLG^E*(b{s^c{(`H+(bO?K^N=8&bot(s6g^LJRum|6h%JzS!-}sC$hWc zPSQe(Tjm=Y_n8d?tiRZJ5?n7WOuX9Q(U!B1!@!MOTX5#$=VLiP=Rt9Qi3FG3=2o%( zV#pWZYRzAi&$dnyd{7|rk)I}FovHWV^|U_b8Rc&h%H-&;gj&7h)|Tql;tKJ!ORFtc zZ4QF#QA?;_?<&oMf5sikvvw)epQkq0IJMjbQ_cjLS~Mt(sDJ-5by9c@>ezLVV$z`7r>oz66;!YYmIfyldn;IN`0X9_&&I& zr_HBj3+P#yVYENwi==rwdl2z`_2KUnh({fqKfJ(2mpim?G@8HA=HtY*Ks{N59#qdG zY3|@BPeLzO9f!X&c(AgZdDFRL@>W7VVpx{6+)OM6ALrm?aP?2#NtWx{0hIsWw=z8K z^{d*$;7_j`!Ayyw?6E_0KR534j7dVV$({;bR?nr|(BLBB+Yywu;K8MCa9Nlyhg zZZj_+lq`bBfpS#DW7&Fa;H zZP2q~hY*(qEW)~z!9n1r^#pKPzW!nxN4~jFbr`gs=D%sM$oj}SJHci5d*JHx()pH) z<5Xu=p*+>CN4;3fb*=$*~|$p7Uus^|LSqphBeodE76#DUA}F=3WF zZhqh*cnG*ko{W7=o?S!wN404jc|sE69#W)#?n?eMPe)p=vQB_&*An1nXh00&o_Psw zmVBoE_SlbeN7ST!L$o?V=R!-baOnHKfL?mn0$1^m=p3n$ zD`Q^in~~)6)m8E@`6SBfd2CZ~(V#o}YubK-5BsAR&8vvjsHf~ceTS#5zYE>B=zCMZ zP1qhf?^2@3CwUnBmD_rp`%ZW$#XUrMviCt@Hm>e>2Au8to#sPorG?06)kJXT%w=$$ zup9Y{of=$c?WBCXia>87@`6kE^RzFWjSGVR6gp3N=y2?BDlQo7)C}oN{x4}i6q%Q3 z-(G(b{Z;p`)A|~m8EN~gQ|MfCmTkv6QjO;oxBljI8(OFCYq9S1if$2zTWmD^*@_{w z&-?t1eAL`Vl;_lN=*1j=%m?FMnE1cB;jf>K$9ciV8Td2*Wfzf$&ok7MJ@NvV*H+;i zy-j0Z70*jdhR>}b$j5y7 z2zu3jBIX-&3j@~=vrtcYcO%x9S{+Y5z276Q?ssUR^)YEV{`oV(P3prbmh+QzpQ-P> z0e3v!ds;5O+e!Tzu@jsX>(Mton=9{ss1A+1!TA^Q!!76C>mwhv@CovCzG*nda``K* zcOCEv{cs)X!88xwxvhf# z209ni>sQD}x<}JG>QD_n^4;&qN9@0_6+RdGQl8Uess7#Ojfc++0nQo=@-Lh_!gAfa zJoWc^W$4-Pl@ZoQxATWy7K}#y_3hfrtX|a(LtJr&WBuwg1-4r~kE=#;+h0Jx^pR!b zEjJJ7{zUgFLFc|p^JMr`r{_uY{4LGfCAAW*UYr_^e4MVm4Zf%BUS&U7317rz-^U_< z_HEKy%XQiOq`%$@J|;4Gh2{K<{?O|#aWvnWwobO(Ngangb()61-gVv&KDp`nMS0V? zDZ@t5K69rc^yYH}@;A*7hNoxyh=a4J4(`WMH-4@P@|RU3k&isl0bFMl>1X|g*#XW| z1l4(9Vm;&&X#e@MO0smu{xRZDgGlkPk7nea(R9dIQKXK?)a9kWV!L^ z1J0`c4X$@}N1ptfs?^UcFXA_2HrTkVCe2UYmY!>zEgP`!iAu#$A2Y2X#zj5;kYN2) z@<{6MzVpPpyU;m4cNW!W<$xR3*L3-Jk<~lNIp$r8 z)r+8m)GvQ8j3a+qF5dbn&tep}c^tTC@j4QG$VK8oS>V#OgRk{5tqQ%&gdzA6i9^p_=c4E4;$JYzcPn~gy|Rj!a2 ztCxrAd4vb{K>c~m_f3({huW0q`>EjKX2Jf}N6nJpEU6jt(eQS0a_UCoywItSDelrw$kWuTzS8ES+;@OG^Hze3 z%(_b~mt_pNDm@yUuXV-#DN9cR7ygXSk&j+9eoO{6qSU=L0S0x#>NnsIUm*sL$M(3jL5^io2o|#+}vhtpmO=6aM(9-*Be|u8bfs`c?I*<+5Q`R5%?>h}!7+|^li}pkP zU^m8>2foC7(7A45eX%(!XdZ6Lzr^bK#cA+o-dWI_JU>haZ@Le9UegU+c73?oa<=I_ z<&!@OKBk5HgmlYm(YYzUn}Yigwb3Ad^H&1(cV$_s+wk|xt)6Gn{R8Vn`yT(bSR(jn zT8}DVBkG{83|(cpDa_#`uHMM>wBKXTjJ8}3K23E#x*1$P7(Cf>-Dw86ezO1=4@0ckQs{5zoPu-%VOCadE9} zKKe#w)WI3Okk;3O2CuAMwrvNl^Li2gu(*uXo4w6x9IH2>d8GuNn`9WRJCF{( zoX)AL^c<%Baw*1z2VFs2)yoTo2Bugp(&>3$eHjAo%v_Fq)PUyDi!Hxny!4!p zqdl#DGriw1M<0W$$V7pBLg_hhTfzR!#M7XGX;^yZN#@)sR1(|+iE40<^$ zEW=)>JyLLAAqTF7UiH2VA6=tVux*#GE`#ew=O~{^F`4Zj?{#ba3VMO_b%TZxFZ&U5&WnahpY!vwpAOFL+tn=j#U3IF9##-faF4 zKF-ehIHy>`NAek17CySisf~zxZ5=qTT@_q44@pAY+Ak>ovh6Vc)%nF;(zC%APba1|G zH#ploB*t>5ehRo#^=EL|FD=w^wV5G*R<|APxAiKb4*Vm%|JRS6A%FAnl!8xVnpeEU zKyb#6u14JE!BmI6`!9RicnzIc`^mg>#(mN~%yW@-XOz|Rv=zvQu`Tcsn@-aEz%lgy zOS5M%#r}|{{s~2DW1AkGc8}bqH9q}B^ z;{|+VK3{O9ehRdC%JZ|q)nCDv@IC6NvY)Ie`LjwzFdt0jMm*=5)05%P6E}kMX#a^; zZ(3A@kEphW>RjXBAj|pjPsI5%oY$=J!k;X6_JzVnHl_WIkAIH-s`4}+WLbN4m%5OJ|3aC;zMuiFY*tdxP_izy{jVIq~$s!nS7?bK%J$_ zUfh?O>%>LAV5*N37GmRyZ)ktuiyp&=_1GG2xv91nKFYVgI2BrpPaLfu1`dN z*`}=t)<>+1qdHWHpgO$N=odS)jpBMIfO9i*I^u4a0M7fmqt5!;0jw{_=L+eIoP^$# zXz7EvZ%>i_7~NN!Y7ZU6U3MH?-`-FDLkfFay?*KgZoa#LI+R?=tz9e~fi4Mg@b5+tIjhrKR6rm3hUZ* zaiQ^TL%$#3$xFd?XNLE#deU(6=}P+me?KVJ`Z!PfQQW14p;xDd%mR0#d7^x7Q9j}S z23an$)6XQ7PuO>5bK3sEQ$Lo z7E$!Rr@ijdMLGvxcinBjv&0?H>*z~}t4p;TX#IJ9+9#c!*TC7a0zQ^&ug=iRzmhQS zEORCHA9iyA#T`TMyPOA2q}8))-O2xMF!Z9qMCf^qpTN!XTFA$#k^gI(k5e{3<}H6W z8Qh%7i+z>Npmk&}tipWY?Q2HEf6}+m>z6xe9euHD5qv6Ep!r{aBdwQJWpU23`uV`c z7)|TZi@969%zcaUEKm30a;-~y>+j5~56-GJ!TOS86~>p{tqbn-Uk86RG8yYy+#=4a zxFH{YWwtN!>{*ZUyd017j;}2-+s0LOegZd}-h<23n5C8r_aRiD67>E=jH?r3Ip6LF zy(%*s`=`1PJKu8l&YSYAJ|E`=--OTI#OD$JJA5uO8yrFllN2ORF zvn!GE@tzFMe(sxK`TyGwoum`sBJVvqM{d7{zp8nG^xIzqTfN@A30(Bt3~nB;9&5Sm zN9$BK2`2sLuew3M{!7xoxQaT6iZ8IfMErB)!>6yLd0Xt*N~?FO(7tC<2cr(M;YWDhW_!of|CaQLW{8mJFHOXrKqC`55Xzusm2ndk()no=Km>Lp#< zS|3q`)~Twp74>xHit+HT;zjk0{RjEz`5gPOvv3;qEB7~~S00I0uUpc36leP&PvbTY zam5YVpOuR*^3mg5X4rfjrx$$W)HBGRCzW4eebh*rKhF3V>;vrhh-9mm8+ITc`EMia zZ~A`XkCv+@Ww8%9&vui~llaZ>uW}c9HYWw^U555pYq_420WJ%&g} zOZw)6zc3zk=DA9u z{YSsMjr>{h52!P5*p&1UgTS5YBe5QJ#Q<%w$sC3Jox3)f)O~m~MKS=j! zdZ#P&qG=nP3+Boc%4agY{}Ig!Ewyp^#@57d6hQsuhLd(B zc~J)INJp2(JZGtYZnE4NMb8oD;0vrHJv*07hyQH&$h1<(N3LrTWw{u-gt%YM|7UM^ zi?&>H1+K@ghu+!M33^kT`m5Jg!@3rm76icmz<%ge;vrhUCEa{1*PH3SOLy1;&dVHj zpf649MVtBHYD2f-;Hh*zI$?#t+2uK}@jErO7xmj~|)$^m5z|A81{gr&+T?IU;80pW1(0*R8DE49gkmiFdxf=Tt zo9!BJ_2P$lq@Pw4<1W&-PO_X$Yee%Zel(5aIrj+9Y;3A!LND)Ep!wi4djRw=3Q*lj z<@`>pT&%yo%y%1FR6TfzTm?P5nuche6(9edFx}Qgi_ovdjH9v=`_ zOEpz~z_{>xX}FIPAD%$ZcD_WO{9#vReb_-dm(~1u=w*UC&6CN6?xTIbFUFA#sEhXi z;xF27&G+FnzG08)KB3V7p<^J=pJo-bdv|vuOc16#fb{jzz_Wh?mTKn z+@n46G+uN+X2#I(ke$1wCtAHYLhIC7m=ialHO7T|F z-#s9G;Nj)qvn2H^tv%_FZm0Y6Q}p{xcDymTm>Nan?q8SmQwEW~+v_FPN2cXG*LX}q zo%s((LT$g;3EIbmFa3X$^(*XHuHROp{{C_VdYR|>DC?8`{}YTC??=C{6aE$BpdZu` zT>H>_59ZT)4*YG5|NHx2R{`hcbgUm1(hBQ|Z;6Ve{|nGQrE}A|*Vlsr?Y!aS{j@dxeoZy)zRc>?qEXm?*#Y{$gmdqRvRsx-#roliakuUKbNc)| z$#Um}L+gRLWr1(son*Oq*NgV$u{Xg@zJotnt`DVwi=<2N;Vs!l%at=1>s;@i4K90Z zi2+X#6qkF$M>owtKF*As=bwV~yB@ji$$IDm4^uvu`rq-)_BHE&hQINoea&e`zjJhE zjKF@PnrW)%ni24q@wZl6AJgnQ@=>kxP(HcquC-j;4WxW>-2&%2*BbCXFKEBsR|0WG vk^U**H|hRZmOBN1aq&Osb;dke|K4M%U(NmiS98Cj{V{4ZINQH^b^8ARgKgwJ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/11.npy b/MP_Data/pose1/15/11.npy new file mode 100644 index 0000000000000000000000000000000000000000..05df0c4b110da1ed0480bd297e0f82ea33caa360 GIT binary patch literal 13424 zcmeI3_g|Jb)W)M|wa&Kg9kq%BrH)z`CAjyh){0g`1ymd$h=K?N7b*?}_aeCW9#yNv z)@`eGuc~p|YOQr^6<=~4{(|?{_w|?O^L%sNS58h&a_7DuOzqU8W0zhz*hm)R85k7N zKiso1_iP&6(9?^128V`^2oD(6FEl(b$njPILn4B*c*MYfu%N8()#@~8P}i%v7mwxt z+kg2OW2$?JJHGDo!syHHQ)m8qD{xR;BkNOT_itZZ zxaqjkLoj}Ezw58AU4~@$zy5cO&*r)EhtugLu{T`1SW4|OuR#1}&eUtJ-30c(?%LHF zYB$%m{t1321U{1Y-S65>=6mE%UVl#4RZXWnCT>Bynn2g<=iUEy*Nf^W9=lIAEMkMZ zULPC^ZqgEwR~}mme(Xs;i}v_b^^V zIR(7p`TNi<4ta~pJNi**@nYwz*~e=a-Vj?L|o5%EyyXd zzKbz2$Q$<#d-k`>rpK`p31KN-?Mdk@ghrY(s0*pPs$v ziECF^Do|bi+yr%M-+h^yk;R#JK5!de{HpU~`x>V^F3x20EqlS0chwZf&0l+Ie%gJ3 z`8Mfo7C`?YCwy4@QHWdR?6uT!)#nBDve`P)mn#T=TkteEoB9jZyZLHxveVn#tx!Mm zO$Fpnc~u_a>*9&|iTai8u};h{#V0vETe%IKr-Yw(Iz8BLisK?~68R5qaR%3~=^W{} z?o%0Yn(j%+gIwDVQ(escfc%JO9_hZ$Cy4fA^>8TV`Qk5? z;Ul)t`VE){E`AC1a@>rJrFr>!A-Mg#OIPP3T73b|69T}^)tw_9S9=Q5yuALB{5^fX zahwlLhF&$zi+Pu4rVe)gYT03M(KQqED{?;Q@3>g~J-G4v0(#|p=X=LlXcOY^>3+fP z|0t7oS=J-&M@w~h-w*X;({p3pndgteRn_a@ z;-e_ko0+JIe=!eS4lYRR!Y2xxd;JS;cDzi4|NRVbGs^?@W1szr`myI15VuvS-a`Dw zJH4LKn0)TO1LrAwf*t1%uaiFVbE+TTDp;rTqu;^x$1||5*@-$>*LLeAr3xS(T_z^pae1o{I4dWqu5#<4@OeHA@!Oyi z=X~Au_s-3BpK@V)_zTe-dULDRM5ot_UXlNWGN?m-Y2e-}E#yBo#3;;KK z+JNh!6T=YC-lfFXHGw}*QS%+=1BtT*CCPtNuCdU29)+Hj&JE5_&7SDEh<`@?UZeFc zlh4zAXWl>Hvh-5i7wpB0aZb+~XX~Hl0hf&|-A8^R&S$KJzl{44_Z@SHID1U>W2;x7 zePi@<`11)BNdMpw-DgiO0aqt|z}fud1lO-BJP+Jd=mBm&{%st1uj%0Sz&PR_*Cse_ z7f%3}750%&hi%ZC2--JHx0aYkKC3e7&=l{1deFsZP(Jg9ZSr;fzNPbtIXn^EgPW6=;G=ZunNH8<3@824%iwInM#RtO z7;u(A=OXb@KIp}<+~D@{aqLTSccBR9qk3&a{mYu)VSm%{qp<(51#O|%MeD)e&e~7& zRpAK6tGXOH>&7X{Js9gg*|#3>VZIBoj>MCbO&mAxe8G9E8CZAnPC2U2(IM~`V_Hx> z)Y*aa509z~u8Iza-j*7Se)R|1$87Q|^lMg*!o0BgH{dTePNwyKYCn8fH`)i-vl+M# z+Vn<)T|D-~al|i21R@VScm721L7wQBCFOwLY{}6d~f4?px1GnV+x-$R@azu`yz{(kUh*Itc* z|L!svubEdEdKOe5-udVa!=P6`B~kwGm7EKoW@D(|fWlb6qU*g4(0f-R{~1RyF5SQ< z6#T(l;={|rM=UA3*!igY0W>d-@1Sm3^_AHF?RUhLXIty87w@a4xlcAW82###BN4x8 zvT&K>CgEe6uV63uh*)H;;s zaVz~Cx4r28F2>KrKB@YqkIKm6Y!lUqyc3J}7|MHK3jAwaKsGVe%KW5l}?9cBoUhSVN|JClH&R=@b^9w8TFF2buAi?>V z6_b%?)%X&|Yo}FT2A=;g_4{Ql)W2AAb%OJ;JLvwapJtzXYx?7SBA3y72~%yw z7{^&Cog3AFAvtG0ft+amuW=v@KF?f&ZUR}I66*ZRGW^U(ogX~ z_C*@vm*?Nj0h&nfq{Aiy^jHWudog4GQ{TdUW zSqj|b`V@JVS8lqo-uN&8b(%`1cIjlSO>Z@oMkK81{ z?MG*!x5aCJ2mWLp@+Llh3cb#F6YjVPenQ+Q3G=9`2;|vhjHEn!=EuC7M*$6-UJSkn zfBkVH<@4&B(eTer_ht4d1bNV3{zUsj%J1;eoz77_J~5+xUB4+6XQE2L5vMNQ_G_Z8I#x^*e14;$h22q8?1W)rg^*oAr#Ms5)EMz_Ag*S==H+|{3 zQWje>57Jo|P8tX;-+b&t(^&=`hMILz7R#eZd;CRPXua4j> zrX1qrHSR2RT&Go|c)Aut9=P9roMYLQK;q0BT;FXF;PiY0-SPTO3**JZX)9a3; z=Q|pK>u>vkvq;*PbkHtvb#)oe!^-O>&2QO3;H-T6CC*1(yi0L*Pb40hig@J92H?E+ zG1~XGO+fwY(r&3@L_5fxGlCd z0lbzk`Pb+{J_}AwbKG_tK|am*fvYp6Mmla*k-rG>$GVVz4jY}H!mFk zeVhl4*Mr`tvB-RgM`TtZzGwpUDrD+drv-RY)JXo%ZMTd&wu}J8(OrM!fSk zHRDKMWDPiG{+iSrQDNH}lXhOWj5JS+Zk> zP<5G-9%od-*@Dd;54VV0k6rw-ZvD_!26vY z=N-O=k7zU$oOgW{;hV+H{6uiob~rtElzXHdw_U1GJcSCOu0-ms1o$@(2NxyRP~C2w zIUM@y<=|t^%t4-I-yY$P^DXbdb?_tHuXXoPn;jQBN5RJ?mPVfCr5hNpj_n4{+xmlx z;p?Wme)+LG)NlLkH1Aud3_`zmPJo-`o54*$*N%>xdp#(gS}(EQZOdNBn=P@B`W^Zo z@~J;rhjXd;b`km1k4An(&sQT|zwB4~UD>{W3?J2o(K)Bp4(L_Bre|D#e90eC?o-Vf zhJIPA>eTO>;8e8FTS@)qnS?ycso(fHfBtY9^ul)l`enYJSf?z0E%6RdX}_9zGY$T& zXdT%CAym)xwz57G@4pj>e^nRx_@b6d3II>%7b z7deM>lzLSW`-b=}nD}2&;Jp4dJf|@KzTooDYT)cZLFCQW`j&VL`uhUzk#nN+=ie;` zx8EK|JpA|%k>LAie$DUnK3q3Gfq2Z(?a-SCjQZ`J6bt>01K@g09dP-Q-j}MPmh{Qf zv0m7{beyAD?Sl7wv--EE==T?uzsWZD-89=wKKTve(GT|ab^dxF?UN?%5XHImBF=B> zMfP)I)8(}87B0m8qn=HpekGj`<<7>+`KbPsf4Nyfuf7}tJu9DGSHrz7Bd$wZnfv6y zxly;W6`f0^$0xy#n{*9-`EnK39lP`Sc<0X&>XN?GdaNTIQ4Z_HtSee9r7S;M>20zgV`2_}ypN zA7qywptr}SWB+7*UQc&=^@8$jx6*rEIl3R#g&Z}8;*6YxyqR2U=D2vw<2&%-2fAEx z*X#chmY`pcnH0~-NN^L|CmDPZ{T&f&afI}1uh2PR2b~8*68+tT==~@XdP()H&aQ=? zHN1iSmir7tJZvucv#`$CZ{;`-aDDa)#;eXx#QHMkZ^WbLFGiin^D7o1-s;)=-i_?@ zOq(w;?`kC7*OcFPs5e_IYDtD0@5*TMzoX!zLW?3lYU+RRm!5ghuRQYUR_Cwkwt(K& z_=3j!$=6MtkLbCK;(xXU`ILV~4{==kw4*rdF!(U`fkwTlW50o$Nuww~>np@My{>+d_?ySHj}5%^jq_I({)NAsd7bLN z#z54$YP}J9@!%rjSG_BaaXvEtm(Yu{J%~S?KihHk%TVG4@__TG+lw7H=cyieN*u*M z=0LRL_TL!tFBd^PBq7Fe-nu_H_ZdPwGLHh^LGvX&YhqpVnQaz;UlpX3Fw}j4ZusLhFv#XS5#w z2*P>8?)rw}39Jdd-QR-Fv6my^FW>h;-I^bJQU2TcP&~zRBmd$@@2QCAdG`J5%rcs< zdu6_H{j#V($frNOH?yA7^dXDHo4?n@Hn5ok{EKn^$8UH~*x9 zi)$38@vSw%aaNC>JH+)QtZP}L-8jd2a~iMmFNFNqe4WD`7qPpk-+de5ud0*@bX?as zM!XaK{;uY4{lRe=LhD6;G!A+ezc2tkfq5v;X}Q34o5$YJU*7>PuD8K>b?vISFK|;8 z{;Z%E^2XO@COEw+R|{Mp&y75D?|MPLS=^?!qj>%)4laJ%GtzN$WgYnx&i*?ApOVt~ z@M=fUuZlm2I?>zcIZ-Um4ZVDukNm66jYhvWPm|BgxyX;mY~KMsVFkfWp*X~8=if`Urgksq9oIq@;L(3|0-Mts`9`KY?l;Bw7* z^4}d6=kz>&Ir^1n{HZ>Vu0lQ7E()A&eTn^6q(4Hv@gxZ!(`PT@H#-X_IUo52olnf3 zXvE34HNbg^ZRkev1Sg{&gvVax^sG7Emsy@?h)1+9ui-N*8G2i3GW6z97rX~B3-V#T zi0*-yN8T@U74-36L9Zr6(LT_`Yk=eYH9gncZXEHm|1P8cbzd4lh{HWGqr`MiVbVEG1=s8ZO79(Eh`(}=d z<2T8t^KE^X&9t27L7SPUGO?Hym8|D1y2*VO3^1 zZY~v~{N$j&$KxM8!hWJtdy@X}KhWDclczboo#F}3o6_%DrrNOaj?0a=5vTE>_n$W9 z+ZgoQI31ilZ%F&whtvnNZr#b+^{!6Eq6`s$urIy;KOe z?eq`c@2N>G$;X@S*ZQL^quqGbQquEk^d3xl?+-v8UQ{G~rJs=>S+f()GyFWQBe~}- z=3U)Np6vAUQ8Svap_{;E_)6SIvYP(?-~Yi3*al;0{ZtcJPxjx6b@ylGLB8vW`eqUI zUeJuKLGK54{)T$x*XE$^WK#C}T1odsx#Y=hS7&zTA?$~yb|bofSNIBCmsp>kk<~83 z=aGMnUALT`Z+kY{aWjwBiKtoQCb)fr^`-l?#J;TauL0K&#R~Ympx;5&h?(#)OBbyM z|4U+>+ZnsTWst`E6aC~Jt^bb$;G^EZ)=sa}%F()QUzB`?j#>pCLBDh8!Ji<0mipTo z$L(LX?P$h_*@+5edRb^k|U~Eiza&!V+F4R1dj9{lw;X=oKJVmWSM8_h^XabjciND@y7>Mc z{EO8?yUP0?wfD=2udhTq+w&W>dwxW_4$6oxwK@lzirz~)}Otl_(aLucP(eH zM_~Nwg~xf@&d1U7&Y3$HzxFwN%j)!BO^t1LHd4FZ+yn6|G48f)7k#(fL3@10^F0%u zSkAWn1|RX~gQK=x7N`Ez=%;v2M}0=S3b?58d}zk=#{GqT-dSbFMT%dVZPx|1Q~wY1qkksr)ARXG zT(#|Da3181xy2*zBHv7mpD$^E=Xs$&@Vt2APvfi_{~rCB`*vhE>a%)6uOnwYu@##-nPr9p4}S3++}gu~zXBvajV{~dL!GqsDbdeyrX#^JQQOx*Rczgs$I z7mkuXU(0{&cUh{~T&p*|4uJD4epjI5+viy>sziY6ANeJ4kAA_H>sl2MC%e4>dEl`U z<6>ut%Y}b|Gq0+s4^`nO=mon^ylXS`%O6$(*YnD!SbrxjZZ`Z2R3~0~D7ab@2fe6O z8{9d5fcTe!^R3=FQ5T$TE_lcK=vg5&u13V=gk{7F%%}J(=YgKP^{4sD_9fQ(82@XO zhfG6hzW(bHjd+eVMV;~S`;i}&^Nh0n$g>ZSXSTi$*1hf)TL=0te}MC=UBTIo{VgmP zag)K#)&azy^Ixrx+EEi+EiVZ!UuGT;UOGSGams$fJj%=UyMP~BME=QtVIIv{HQM@X zuhZnS;V8HYeC%U6d*(^~o_Yf=ZXOy8eM)0+nYAYTosNB;**a%DGx_jX#N#wCEp5N7 z*=Wj7KX0sC_O?+c_;;)hJ*$yGJ|UNat=`1AQQn$|!AJk}WDR)IesD9nBRC&?C){#< zlJcoarlS6xBmE~?f6?GB_4~CY)thgdNXs3+*Whg5U2t>o>O$z_*O30za&YO|1$8LC z1%s>9RB+a@4eHIDp>?5lWv9Bz+#2=oRryqhH2gow7<7NdIyg#wEJ$#kv-WH<1VZIT7En{knn2G!)xmn#mupRi z|1W)sm#F}Mb1h4h<*IlWaGrD#{(Qk_>;w99Q=0cTKSIy%C$+VDJu?Y#p!w>z;f1Y9O4(V!!Ns~f0YdjFR`D_9e0Y;G=iSr z&x1V6@t@(t*BbJH;Z6OXU4V6DVqVa=hTlgXctkd= z7q*!4&xcaKvaK8KZ|DD}yhT2xyge^63*#zt1Y92;0dCG`#lFNkdJwOEp7zzM)%#++ zRd%9Zr(;d%#erE<+-x2st#@s5QJ&{Nn_~5B@gLCZ&7sJrI&pG>)yqbK;Ih$A;7+}? z#g>cuPcUBnZVl>R=kr@^edL8*;5>f{xT(#tj?CzJ;Og(f$PeouOXCtzq;EL`d1i+m zEU-S}ML%%q69B!Ao;A#J)5H(lDHICM8||8CxjvI|-<{tBT%`^k3w;k-zotVK_?s>@ zR#@)*`8#|>{xam#AwTLcPX2X0>D-AYZmx_0cbea!b0_XS#q+WrxM{r(^)Iq2 zilem9VX|Ag&YANN=a-(E z2R=fL$2wvg&$qWeEV4bg9utCf$7DX|@2)}n z^V>EvE!TG{!(aV$7UwMgQ4X?PW%&rbjvoiEn%woboUQYu{CFn9pY`vKI?)e;z|FE7 zl+VkZRwP>gh`I1F<#tm3tE`HEf7*W(&$ngZJmC9y%XM5k#4j2rf;&5N*0tOm+zHM; zO$1k4hxW7n=G!N5u8Wi2-*u4XEPqWJSG@y>Q+_)!(sDH*56!c4=!_EqBu=ctUEJ_!$%hi zKs@?Z!Fc#Q?gc%&?LqncdVGxaaT*A4@eA!&dgO!<%k{RBG{57MDE>7P@yO$Jk78K^ zk$<@X#x06u#6*D;o>C(#uD#T@X_E#AdgAJ(J~ z`gL-hMcwkl!=m6L-N8j*Q{3NF`K$^&aRB-ix0)h9qW;!(;GG!7ACwb5Ec?lomg`r& zp*Qy%Ql8h;j)8u!H|62+4)Q9eTJBj6dcL_o;&;A$Mc&lI zF!KK%ggiUP^CEt;X9~sh<6HFWGzs*u{$@}-@&8^^JONu9Af9$Z;BQ8*$3EsfoE~WV z6^k|e_1Nx|=ZZ}i!>7(U=w+Miln+^Kg5^$h#=3rb4C69yHZ1~=I7IyxT}1p#n`rQ{ z>*1q6@54Tzy~fN)O!r}nTHw9I-1|oPsj)o3>Xpki`0({N5I?*9b1Tc`{qMxx_ke4k z`U5Rz)k@H~KF5Na9D_$epFaw5vqA&G`Lf~R@GqDOAM?B}xQZ&?1^nW1aQ(eFxRYl? z+eF*%&85_DiL&5qfL~Y3S)UQ)bGj9{xOgp#^)Ur#AJabL$v?|@FUxtY@|5R}Z*dP1 zg*I-qTzC$Ek9_x#eD>BEVYxa~0Qqqm)S!7OT_PgU@)|xgFP)Er>vrqrfd3grd3JiB zuK1hZA}u%D|03RMAn6a$`JxY=1ZSbo5RYDd1m`l(nLv41&m$!kMZbLdTFP73PU|cezBFF$ z-U9V6M~2UU&pvwJVV_5V8lJ#egCV`7A9pIxU27sH|qe!2s; zzSP*6IM;NSr_d|E*A(Zy%d4#33ET$G*UD=3vX&9eQsS3#$?@-eQ8~G7G)0 znXYvI;rlzg+kV(o+J98FM65d!UAS#CT1a*@#o_tByF$(4OG>m#%c5`95bKK$q@#H078O-B6FD1IJMna0~|iLd2iC+SuH6_{ULFT?}<%?+$C;p>e$bfRD4 zJQDYUXk2vx-wnyoo3Ih&qjS*v&X*C0Urg*x^Z4K| z#IJ`h1ZTzQ_XN>xYD04}*U7If}<+BJn{Rao=`khSIpsO4=v0H7&rM=Uc%|{p-H)*+9Ra^O+w> zKlEr@%T4NQ$1t~auFAIoH=A!`yz1TKwU#@MEA{*D4e0rmqBtM*#3A6S z%SUkS(ygD>>zv!b`JS8LX7m7B*HvDFJ4aTLPy1WVY&^2tkI1J=>kTekJY6m4gMJ0q z<%)x|dk4x|uKU(SoGLHH=>*Tkdy_gu?=|K)-DmhQ`kjH#je?Ie&zI(L-c4Gk6EgPC zk_9kdW^rB23%hy+dQpMqk!>6lWBU~yNw1PBL+_NRNPLWhUbWgt^Zxc%ymzRL2HXs$ z-!u8PqOsOTy?;RQoDPCs*UY-rr?Z zGC03+5$jiI`hAHPT}C`AVvL*huTT542_H-Tqn3}d+-xq2{fAZgO!M;n>T>JvI8`3n zcBj!R)DQd6Zl3+FXV!;at#?EGGHVOuQ_nd8y>8I`vek)IB{t#tcd^h5zYXYDrCbU` z`-4m1JeBTCZ1Ss#@K4ALAGv)l^g69*sO4;+8@LLsNIpB~F0h>Y1(5&Ih2YMi8Sv+& z{vm#_HsV*Ae8*b7vtEHSmo~)LBqGnUYnV*t1#e-1;O!+pV7 z=_wRv)KT15_2W12*O7&>kBPbQBN2Z@6X!K?xHw|7={IBZVu-|#a3H;ux^7R9k&vMf~R%12J9X-SyTy#yKeJ?c?@8c@h zQsNOmgUi`*xL1gzgW&wKCpc^BJtZ-{AAK|gT=$9xS3fV9X}Mvm!JWS3FRJbchW;x3 zzpFUX6#KB)*Bp5^o9Op{XZQ!iue#S<1N}4NYViPYCu^;>;F-r$9)gZsakFtO_+ys+ z0GS|2bX2KC)@8% zufjNYR7Y3x-<+T7aI`1A=brZmcQ#HYe)W+*d{WE8hm}}`{5!$r##?R*|M19u>ZFS} zm*vn`f1saw!SIoTa$=q8m^ylTVN2GVtg8kIVwC>ch(zMSMZXRj5^WPTunAi~HnV)>%ZhiF3 zMHJ^_AM`6OHN-k)MdHClwiNiN!BrIe6Z%p-{-ZHom7I+FVG(nPPYnWRH?Lw`^3Qm1 znJXOJEDl5b%x5&|7geQwvQR19A6S+f;HveX(DTSNZ`-dKcm~`Qd`SMk?DVqni=|26 zeECjr$7@y(=-mbr550vv%kU7KBQkyw`SjWby;v5F`-5`#19uJ_ApbE#r&)jgv?J+T zodxH-#w^QC8CqX#bTIB|=2QJZ%k|AM(5vVdbRS!t@&7fahJ*9Gk>Jk89vH7;4mfL` z@xHTuIsDZk4{%u_7x}cFF~j;hOK3kaF1HYm^o|^7x$L)z`VD^p?o_-x0r6zr3vPi#S=Tnv7GO1OT0oftuO!ou)dsA3&8btcdCbS-6*j*B;r2xY>Btts%YJQq+SQUSYb`>-7zx z=Xn=ivN{=>E7E>C4QM~%xz{Ay?`q#itY0%B;~X4x1?z%Gw@5jX-p;a9-kdveG+)UD z8(M$)vNrmaQNLh)u_GI?E?7bxaJ6e5{B^G=tP69m9_hP%zlby!GLS*At&I6I?gSi+ci}m$AMY(R-!z6K$KbG9?Ak(bw!agdBiX|u(eJ&CzXwnqsSX1g#U`f9 zO`eGqkMV(zOqqoB?wtP)9~qqjACcy_)A~4%TTwjIb0dC!{8nr0qpz$37ky%pPgZX2 zNXuE(juhvP3*>Y0V1)HiGwGai1{H?hObLy$dgD?U>rp+bi8#g0B=oCl_lCd8(}3!v z#R@uiV!DB=l1YeP-Cnm6@%*ua^6)kob!+zaSZ(`d(ZuzvirC*+OvUw<^IWB9A8=hl zc}Oc0XSq}9A$-j9`B?Ab`QPg-7t^nR%RFbP{+%T9`G@X5&aa-v>U5olA<&1FMV!u! zku`Mv(YmN}5&q8df>h_L=MV>eCXD?49|0+`h)Hypv`;TaM9r4Sz3CJ_c zm9d{xa|ai1>PB0C-7e!?{*;;c+{N%Q9(2CTPn{^vlO-ovz4Ley<>Bv^#G`lNcK~sQ z&NXrD7m9yL1p1Yyb|Oyor8w$`H%?lCeqT}Dny*RV&ZYsuma}5iui3B!oCW0wv|P=* zfPR%Py+=DzL9blDQ9O}zpqHf|p2y`<{s0PUE_`9^CBCpT+j8Yu$kl>s=Y^g5SN0 zI+wKvLC<1xB7Wt!2X)J{XYAV%n`wXR@CpC#BN~4s{nJ(OXIE>{@3dV@()w-i1>+Kd z{#$IEqW)CqmCq}xLyvb;Z9FWT?pM5S5yT^xw+Xe}d|v{+eog-$Ed#4e2M?h4IO(yL z;vbP4dfq?dyv|-4`BB~8kA{BVeu{J49`q~HVh35SPM-!h1vh}RTE!j9S=MXdqS#z; zJ;if?<>GiY{V{>jbiy%NBUZxgI*<;=mkz;e*vQ?UwpkT+8?Gu`vYSEqPh zKR{h^w}U>`$JC+w7>lOg!?~aP1k2UwIEv@|?-b9ohW%_jav!~S%N=`BC#H5Z)&*ag zo%A#4?~9z6l!;ca$7H;Bn^njUyYsjP`t6V(dY#}+=TX2~?8CAhtw(3dV%nD~ub6Lr zSm<2xzm=Wl{ZW{&Y2R1?PLHU%e#)Ip) zhICIj)C=*;8(9#)F=MCOaXBOXz@6(ykTjGu}9M1Syro_G2S z`xPJ9ZGqLZFjsJPGY9Qg9}Z84Pv`rHQ|Bp5e0JC*@Uyg^h`4-I|8>FxEEhHCKBgNy zhrig`9rY>BcOaj4CupBMJRkGIR%XXMimZbCZ?8{4JW=x~Kf7|E9@P2$bbnjW9GtTT zm`CZq1nW*rqW5$imW+8}A7U^sPIP1F%|}=AY3RNxF+ENvwL3U_^Avg~x&2DZ%_G`x zd2#x^&KY=amgPDZ{obMhKr0s!^OX>32&fmnZHgd`oL^^}QX&tH*>>-rkU& zR}KMZ`QrxJ@ydJUDb7mt`<}X33ct_DTGcTxdQ`^W;~$(i*Xnr+t#`e92Gv8C-r<)2 z-@pHz889EpVg1PBEgsuCFrD-;`yQ%yT*W%k%M!89obn0y-O>#9MjbnuDuJ`tm9X!z z_oHdw^rv&u2`{%cG2KTl%7^{e+@D7KP2MLPEjOwU){jZeiTV|$+G5LDOb=h_m3eiww%x=p6v iby)I#@}FOn_JxFu{dGW31$|5q#o0aMeDLodllVW2CFm{y literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/13.npy b/MP_Data/pose1/15/13.npy new file mode 100644 index 0000000000000000000000000000000000000000..1f393b08d3457749098713d35af2656b10241985 GIT binary patch literal 13424 zcmeI2_kT}G`~OEeve)R@76mbV))JTx$ehYlSuIxy#Vt%gmSxVzSN zbtXFhum6fL##E8Ie|YCy_4^hX_9_Cd-%rW8vg4osw!hiS<8;G-9#+4KsZy{AAhiC1roN?J932 za8|er;&$S<(0qOT1^sL9_t5h@t8vw>j=!?^^Gw$p_I^`jJ;tr$JdroqxCF%+QROw- z6EDM0CHmoN`v3IC-mm^GaLcwkB`O*FTfS&Oc|TL-q5Un+FL`U*)vD!m|Irc@$NrYM zUzmznwq5_XH1ft{f55!RN4qh8Hhm7=ADl?{_Xwr&-#Yl(`m6eNGjac)yO2*Y^E}-j zKj%-huZgAjLs#K`7H%F{uCHFh`1RA9%HHqvO_Y{%la6tikzc^yoVl0?{e$Tr4S%zx}vpYXu_Cg1M7Jm)u? zKM;C0KjI&+oS!Pc59UFgJeHT+-!20&9`W$Y7K4yOCBdF8Y1a^bh6pHuC=ZD-fJ z;I~=d3hlbPqIziAIL)^6^Zu9@b?PSCd8)XBL68`{k}czyJP3 z%US+fG~T}!A`iyJ7vqva#LbN>;OyGR zmaEbYpyz*%2A6G;NnheS>UYBL;JRDoxmGWRH34_peUoK<^yUcY<%GthAHREPNbt@WytLMeRos_sS)}O_eK|H+gOPb$z zr(0O=e2ypoqsK6hX76ty)?Zb;0M2_I09SrL|7%kp12R(+}ky-P##Ik=wc?NGZ&t2Y%m@}?_} zg^%d8X0_$|{UPE@T7sLai)ULd-#&zoJoFs(@9bm8uAXFr zGv^7o&NqSCW#ODBNqpFe<`$JsIPd6Wt+XOy5i+?auNq0X%WSGya5 ztNvNjtX|h_2F`XArn+hwCoFfa-3RB{Wl%qCx~6ryE1mowPo#By_K!rXXUFeQUA6s< z=4-L9C;XRtk&j0m+8-Y5qIKu~Be=7*3i-RWh_`yvs2jKnJx6)F*Cf_*Io=ETNNqO=a?u9r-z5-E}J1OCapADOQ z)jQ|6D*Z0bUbRO6{LM9Y=w;%1TED4`;@^`F&JONrZ+%R07jWepgFK60i*>i0yKbTU zG#m`>TM1J6t6 zE%rDV+-&l~dJ#`wP<>9nO?h~EAlT|v^W6MTr+%GTLFiX>PD6h5(+AK?@3%9p-kEZo z@^*PJxYFgYUumx&Nk1_a`zn{`f~;Qfy)<5@2J~!2-ErPIoFyeduV&;$p5>lPQ>>o* z?1o-Njz>OCTG248SK(v9o$o7v^Xi3SEjP)}kO#SE6RnqRtz)f^d`@}eogaWR&*QZJ zSDgnvcd3N@s4rW@SiR!(T;SWMAkXsh*I0LQBjrbSm;k;0w^N|iiyLF$qoZe2o_7VI zet23i@xpz<#rMTVz~6HnxHwjw{8x`$ia2L&0B0krk$(1E~#x z^bTD8^^wMvcQ!p2YX43C$w#n$Wo?JzdGHF{+3E)F^!1&Mez(3M|8*DP&$>*;Jem=2 ziC2gMmqWjRUd*R{>d?!XuBt$LYNp+*FN$o_8q%ZbmP|zQn~E^eboVNBy%RuGrsX?FymRpZj)%Uf%c$ zJ}f#N^TPIB#&~7Sv@|)mK`+ymQvKJgNczQ>(64jb3;Tdfd=7ud*AMGmq+gz7eMG%( z;HE@tdd^O5F%WUOpF#XAy&Cc$4>y<&ey~3L)z=!&S^mT$z;fyN5qdr+7+lQ0ILdO7 zFaUZ}b|3j~a`5~Tm+3jkpQa<9EM?)+lpH-jJO@4|c_ZaNvGM}zV`hDzc&^R^H}~I! zTFwu2qP%U`2d+K0RkuER;656!&lvK_w+YWj*6=ep>t6y~r1l#O{fS11legcAIMo!F zk(Tpb>xqxPjB&BGNyxJ^bOYkiS@|&UJn7l5HXeQLBsg#OGwEL!#QrHx(fVbX{h)VJ zOW}FvT<8pcz4#2p)8#DXr@aFor~FXFV=mm;YW+S~8*zE1svc;vAV^eg+1M*ig_m&MSZ7><6$t8=$(f6S}@c6*ig>yWLA3!CjAC~ecOG6)$2STz>Q}V z{MpWz3sZ79JNqp-ujq&P#g|VeSvPdcS`vp&rY{WvDSwzxB$KLO)0dqogc?p zu1e;$bsi9x#CP|IL8jk%5CPS8vKte(Kf7 zyqLWO7g&GsfzD|>@&vdl5{Kuwev$hetlR~4rD`vUvwHOd&7*E7$cK-BkA6qz1m$)Q z@$mRZAP-LFW%7@V{mF9SIs!g= z%v*3(W+0vmj7_F`J-D3e*{$mu>+cjg1HEY95%te@oQk$SjwikE@OcrmE;2l0EZ4=7 zp?ACvft!A=$d9^u0GzKafpMuCjiFb~>6|8KE&`YTe8PD^wx@G~?$QlDDs|F0>#zFe zzCU*AO8!1+;}OqS{mB38mf#|M;RMTN*w^6d!fl*q_*LJrmh+Xl`)br&s)yKWk={1` zZ=y-x#sm3u5<27gD?~4FcBBl|TTrEr=r`G&`jz#-`Q(XRt&gco=O0&x~>4`cN0_lZHPaKB_(O?QIspCpa9O<++FFmw8ei^&|e%67?fGPNn+!@GipY z#iZ|PeJ!m@_489{;tvdb^sa{B{OZ^+t5>r>(7LG64fCsapYH3O!&wEI7q<2g)}1*T zJkIK6SabL|K^asJlLH%~-}%eo!#k$YIz3ws`!K(o4K9Krscw^d(RuRuSnBuo-{AVm zBMb1YcG5@D z`;@#_Ced>BBAv$N84Mq_dMnO3YAvk`7DC^zS^p@+uYQO_oP0xR#^^d+BNZ>CAQFeEBiSVoJC}eh5p41 z#Hr_wBmLA_<1N?G^nKLHroVqUnFEo3)}kDZYsWv(>(S%-SiSi-oA#xRAF;l4_3Kl- zbGRzg4xFc_p>CZb2aq3UMIHEdUc|e^(zoUrh26^65GZda=Y4>(t~w3@*wSg& zTw(il<{bhzmvY~Kiw^-8-qXOHN^7APEkb^=dfkrp2R4YlXX-ayR$0zHA49Lx!=ZPs z)ki$?g*Q0AKa2LmxU+$FTw>fn;uW@ot5rTfSReD>2=e*zG&tLM2K$DI@J61+*g4>0 zZ;xTthds>QCnM?aQ0ltN5X)tO%GiILZP~~(+t^^K^_Q6q9@uuLDLt2^*O+8eE2r>&#??fo*uqr0w%u$;fW0j{$Xh^Jj22mi-~ z;luVz;vQ9|S}vTn;A&0Y^g zT!uFX7t;AVAZl+~N``ZTW8uHepB-%PWdEe!`3Uxibgecr^v|N1K$ zmk&K(M9unGFZ>pVp5HzMA00YnKJ+s`gX_J2gYyaNHo^bcCgKsFz{PFpoM!S;$^+_T#PTmYcBE;LuhbrzrU7x5=nm6XrY2>iIN9 z@o3s_MOK0N;N4de59vbvPEDid(a31{JFWl1{$LJfqu!hbuF$Kbh2YN0j>`I|s`U3{ zR=g+0^Re;(%bisE`zU*n`~4yD!6@$>Zan70pAYa!v%lE@w%T6#uWsajxgh3O9+?_# zePr@jaCR*O+-dNM>Syw|@L`=3XjqBqptap>q z1J7ChT_W_d?<3?{{kt3IJ=0(<@j4TbH}mKzJ-?1@2G=XeM+NxH6g#eA$4Ebd{?5g> zi!j?S3ywg)dgYhsSJy5OXSrHWe{WSkh9S=~IRn6B<_^>epP0CGPPU>qTUYf!_JD7V^ww z@!8f#7rPCv63##`BTmtK;>Zi+KkYAYUT&5j^vh3!^FMzh{nuFmHcp;zDCq~^K%QAv zJf0)!NgVMK`=B=i?u5c;Ul?(HjCjcn(sC2|12~JgN_?lB0e&ljcXqr}`jpIjIxzpq1pmr7!vXR+@Y~;!*!>IqfHW z+aHKW51$ZX{pFx7(3@Z0fIHPshl5u*2(Fq|hL2PC37wbbodjnIzToPwMHK(s``}K8 zc~~!EUH>uGN0lmrbtK2H#d;TKU+ng_0tGr$>RC6ZueYdK1-^mIV=y3Z7pP{kqWe zQ9k!4ez{hlca9J5vjIN**#gvqQ#vp5DF%7cdMP>Miq$c%rKo@TOEvJEKiFfv=$S>O zZI>O3gR3@YXk8piZDIRm?)Tu&T=pQJ>|Eg{(2ww-_>VNk`cmhMqR!cP+UNBn`rfOe z^G&fndUJE=_2D;{asTF-IQQ!R(s_fq_+Pi2b^2$fz4B{G6u(b8xH&a?5qKMV-pPA( zp5X^yj0OKL7RSLTSG$-2m%IZg>hG z)71@n_F>N|_{7qF!ru2FpLWF-SZ==U1HC%29^5QAN#}%Pui@_;-Avr4WrWqM$F%Rs zfs=^eDnj26Z-qk7TG4x@Q+`xys~4#*;Jiu_@*s+);W@4jzC^z)WeU}8#)}nJ&wfY% zcUH7Q9#rh2IPkW0;3K+spgJ5Ev?|5M6F3>%z=P2kFN8S*K=or>qO%+rnHd3YQ?V%=@zO~q5cs%~-G$EGWKZ>n3C zo@?dZ5GVg{S*%Bv|3~=q_qCA+$F(i$R=@29E)z86VcOkgHXd_*5BlZBCZTT4$*DAt zU5Ts3b+Es&1DDs?ahbN?pkJ0XpM3uPWsBu}^+WjRiSw`z$dW_XTCN6XfXgPSsDCm3 z8GLwkI{%19gADFpTW5;B>X53GpBY0jE}1-UVM-2Xb9aC{BU35=i%JGs?#xc7ejDe0 z$7t|gSszt|&LP_E8{|Q+o{f4_J=4iYHYc7xW|Gy*{d6AYy9*!>&aXv2BwK&+3jU_^ zN!mAFe@1>x62-%ka{vF3e?It|(7sdf;%G%fy;uU5vLBJI@hmT zA|Br5%s8vp7w9~xo6>hnp5A1Ft>sK)-qgox9|m z1aRlOtm#&-4nCticnzU>?=g3W<)(dQ;x3=br`Z(jW1{Rn^vkL?!*fU7FEJ%0N3Z8e zaQ^fO@~`S|!2T~<=bqC_REJ)dY>nrLoSAzbF4>>zwpu~t-{@B8SNIi1{>8Dac)yU* zN$^+iw-FCn_ygjvb{Bd!qb}7$rRiHO*X4##et!K(@n8I6qUEA2ozK~Kt7*NbMI#>e z`$yRng*4zj`ZgDR9D4bZH9m6snE-5@34+k-!~Ietbfv6aGs|M;?eD! zBR{O(65^%$fvf29)2!avy9S)?-wG~M?@7yL5IwJD`5MTNZZ~!){LNwL<)7@E>uL`1S?htVnl1%lVEX$eVM+1>6i%ZM}22KE4lJZT7&rR^#2U zzp;PloUdc@B5!*4YQ(RLG=jgLl8HR4=S2otA1AvjICnRc|Lo2Ymh-gj;OhMr^sBzD z+TF&(ZqR$T{_+6oM0A<8%<9GbV$h4qkI3iW#0ggKxYPb1*RQAi_+IX6^=egF=-Ju6 zh*JzJlwkF$G_6Pe#a!%5D*HCRZ-{#|U;0)t%sbn+HQ4I)Q4i!n7N-9nV*0$1)?Z}O z`#x(>68X`8d-Sw=rwP4xJAKPjJb!qGS-n~5L-}k%e-Bj+8U$I+uM{PIYy*69{*GGD za(yNWoO_=mf6p1%Z^aY({$TFXKJ2t zEQZr}03A35ajIL#rrUm1&E6DGp?J)T&ZfUdu*-jwkI15UlFP3~{DtGerS}Zz`POMv zC+;P%UU-?#m`4`Y8Q%e_+U;MOucU*~DLL^tqatY@Hy^~h z6Qj}=Tdt#W&!0Ur!TD#m1<-pBgkFaAqjkEY`AX>1{lHC+0Mw5h;@833`p>8LIFtDi z`yQ)N@tS>(n3_*1o*6g6P4AW6pg&dv@iYHB#JvK?SZ)I7JfMRL!C&puc<&bPBB9r* z_raZjlz8}@qw@gE+lKI zX-;t-y^C{;`Y{&$^5*nD&e_^IDK-y>+Ym2UA9X0_Uc&iD&Z7OFJ-LW^k>}51UetfQ zp*IESJ0uT|T5f%$?hP*8A40F^jaUZ%p3}*{5q+=I5nE#{*Hh@+?zC)*`ed&D@OM5m zgkERScT2TvG|nfcS0`{5p8Nl?H*X*3o#VqI-ATW24Dz7ezUXf`pHd54eMjH-_{}8j v4%F7wt!lu`8CKMia+M48$J0GLJ^VhK-03jbi~DYQTaO2NaAAP_Thz5PL6C zi5i(`EEs!>-Lb?PV~-k3F0(d&!F_wLZ_ej@XZ_af*|Vpd!!aq~+YX(+%f&{s@m~Ey zM)ZsDYRtWwhBox_;a;J`BSuE_8P7dh?1^t$ERO|9o>=k5BDe{ha}&j&a0 ze0T3Z+$%3GsXZ*Gz1AqSbFcnrx9QZbr%=18e;NJrV__HE^C~_5Y-aW=D@W}j{NfGA zMSMRRzsI;!uAQr#=d-S0e4>Bc6{ph=Q*Pk-t<)|Dw?h2(Q2nc}-F#6U?INe0mE3vX zadu=ld~~rAhu!ns?*sB{nx4dSIwg|g93c0*cH1nc|2%<@-1EBTiND>e4UfX}vgOsk z+#t7a(B-BwP^da?f<_q?c34bR)OcswuWjllTT+3hb~yIy|fvhz2ss4it# z3(TwTGZ_7|qMrY_cI!U_&zp#U?z!irr={^P`aR9Ht6Y(j9M?BtFoX>!E8m%?4rph!^EP5{^F` zjQSHEZ_sWVRYu*KZhoj!-o92+rh6{E7`SccaoPFl;wO+-S*s{GE3*yU#tfO`^tS4L z%(tpt8tY87jZbx)EiFL)A;YPTpX5n*T%34E^)X-(^s4-B@?Uz9_}RtC6DxHD^TGQ1 zV;rhu7Pwiu@(0BA;SlsslBXTFQ}0c5 zT#TqjalT%FJg`EIFfMt4I4f`#T=v23Lc1B>KJN z0d6BC=7oJIr5$IvuTXws2GM-A3!CpaU)U6NWxrpG{P3TGv~M=I=05T)uYZ9$V_v2F zo!*YvPWi9i8r_D49bQcF?(>%71`ie4ps z9cNFIp=W0fU>?P}@!`(jK0gM|3+@JI-g$c8GzF^XtvPW!dWR*9GHS zIc}fLA> zSE5j{oyYMl2pP>Hj;8qiyKMT5reoaC<)Q@UZJjrqG{|uZD zdq6yIGt?U|o(?X1YO1$hWfGlUpI6u{H9sCbWh29h!M(Z@2Hbj;1-GS&&jI&&NO^d;mez}B%{k6Tx1+p?LVtp@0x7irN6w=B zgqB5qaTg`@mm*JRk-AX08CYLn=Y9e;Jhl~%b@e(pDl<-r9LO0)78Lbu3^*RQ~xFT#Al&jIXD6H$gUIT9Y=zz zUiqMxxn7Y^P-Ad5>gZI&pP|8JpRVBMhyKcOy=Nim*A5|{(rGc!S4#jF!&AWJ-F{e) zYH}>;V^0&`z@e8RP02r8&^(rJ1-*FZM|E{VP~HBrcav{+zx+MjPfVF8;zOF^yi?WV z;G;(MfIojTWVDONwx0;j(guUuLiLe1dztdjx*Vr^s5D?U#zdecZ znoZGX+&FEE=M&tk3iF_Kba^P&k!jJSH+-rEkpHytv`)YCr~D5e2!HjyBh|xS&%&Kv zXSJYy4-O=Khv{_g>@5q<7Mw)Cd}KZB1JXQ#zdG6l>)jkZ5aoPSaA%6g=Nmd7r_Jr_ z;w=)O0r55;pW1OBpa zS)5-&PXO0{U#9co%B&O@j~zdQ>ZIdp>i66ivz@<;dJAqZB!KGzm9Wq7&Fv^}2X}z; z^V2FiAK7^ajq6zixM(^N=Oe59A2?s?LHuof><@fXU5cm9R>W!E+#ZT}datDMRy>Ds z@g*COXM1oZ;*t6CQ2n%jAMfH6uMSb1S11o6tO4zx?Pwp6EkdA|?~CHRQ>*A)5dDrJ z9=XOKKPs#Od`#C6niq9_J@Vi|`*5nK-{j(XrdsUFlkFZi>OhbFrCP2%SmulcYC z@tfGnZ)FbersUw^c~=~>1Q^eY}5x#D!1f4|Ya%2!_^4@ORbk4$Mj#Bud# z5xC0A4MnUy{P)F24C9~{pu}s5Wm{8Al-4( z`~$d}n;$-EMCCr&nSBg7bO`{^pBE^D?u! z9ao9?>uwZ(uZvOO&0;AJuZB^c>yN{|Le-p1`Fweo`hB~ngY&nwwt~yb#LZ{lRCPWo zs6Y9aS%dvb|5aj?%xne5Y4y){)QhO|<{q8$8wZtMa$F4Zk}1;cpML90Ps8Rq{zZiE;7j zfgC&`FMJeR4=(#B1UW7~tw4O^TyX2720G5Zng?IAtsA&r`f8fvrpp`n+Yi-`-uhr6IT~zN&@e=6EM?Q)Do>SehQ_ z{B5O5h({f}N%xS#T~|5Ilj-w_ZE+cT-%K zVLy>A@}XZA9Yyp0{hG;$a|PX>)pu9Gb=tgO*RKrw7vmLImtwu>fdyAWA6O1Pd`&Nm zSKeGL9aj_Se78lfq0ZIF(sUmi-V%ARole1DwH+m$zdaI0@nrr3ZtH)Eb3u7TpkDw?Z-JE5l82XXd3_@<=F(>uBG^8mk!`^XX1FLXQOFfwN0Co z{)d1Gj@z=7H&gZs?lZEZ=NQM$kk2q*>e>v9R}QKk>6^`E^(hp8N)zOhPxiz4%Q|!e zXP?mbdt!|CcRq4m9nznwg?Zr({5v}z)tBy9;+r~%$F?mQ>GXD11?u-^8E{^2e}dEV zl|RBq%qt8ZmG&?0rRv8VpADrkUwlStsPi$CoZ|o zN!{{KaNegq@tG~>JG}@VMZEGIoL_2e3Dgfe?@Q|_Hk#@ua5m!Sg&TpJ;+4SlPa8+0 z-}Be0-#oRzO3eZozc=cT&B`^`ap5_J;{5Ly=xy}CNsjBM>#-i$sN2xnai1)6+#Ebh z{yu}qr@-W4nc1AB48yq8)6SSj(}=#8Q@N7BO}9^xH=g%Ss?*Ek!zs_#I)SqxoAEsW z52O2%DYyoC;H;~5dhO>;dY?7e_xO_i_?#s+)8|&1JCgRpjq9<#Y}KiVQ$!*16^{>@xZ(%To%tFal~(QmaEwEv%fPy1fv(`espAG^90xY%|Y<7KyY zFLPY&`jY$`ofvZb>XF0t(bDQ|y-lRX{zZBzIevkUq6sOAVP4PVS1?N3yVqQ$AN};~4 z-w}PuCw4Q)X$-wN-V)>D?Yqu%diM4Z^yYXg ze2x>{E3I~V7P$g?wtf-%wJd2g_>v3c6FLuE7CSZ0aW%65_4`#cxC$;EINX13>{aXo8+eOO-~Mfv}n&O6=r9paa>+NQxjAJvr( z>Oe^IlZZz6VIvD@X>wpCpvCl zET-{3=n5{XU7q1MUpNK+rsLn(A55(~RBz9`DGz-XgY#T%HT16-jjKr@;^6^*O2<`{ zA2>T13T}=U#Jt;43FL3SIpgc%nDbVyY0%4~k0{TTcHzEf zK3@)Qew={($hui{el1%IuBVZY%F|9|X8VgLzY;G(f9GPsK_d~*rJQva>4ARj`dmqf zCtwTo;&KG?%(wp9+xghTb1BZS9yBi{e6UW%{mtO=&S~-)?u~g-<9ou#mKuZc^6=P1 z=VRndaP=StTqIP)xWvHC;Ii6WaIH^Zz1WZl;_vCakoP?3{^Lda5|h7^Ps|?dKeoy- z=(*n`;_XXybN#YIhrvzOE^wB9I@pcZt{OnRjHUHbbl!ZY7iE*cZD(4i=Fr{|h=1n@ zaAx*XoHgbs$8D&X8J)uDOd0nQqyq5e%EtzVUKi{j~>7LItHuYnKm z{1RL(eTDm~8ks@<^UA@;EUh@!>GiGyq(9u2{BK+2f#<&ku9D|qy%;el0{&4Yv5r*H zWmxa5-otIa&L?>r`NW?`zhdPp+*?>+COAvHN^zFhj{B9!*B)HgO~v{WiPx~c)K;1o z?iWPs&gY1M}K>N?s)Cx{7kLRa-;6M*>9rCWfi&MO# zb4}cwhkD@G3($UYv?=s_a?EL`V|S8K|E7Eu@;RQ2^&-y|Qm);6T$I+uUs+fetmT|0 zu3r;x5vSR>75UWvJ73G`b^C_k^4-^1U+Rz7n0Ha0_IZ0D2L3AQy>dRRWE1H1jOVA^ z^SpBUP;gE64co9gou@(fe{}6Ebt~dA{c^rpF`3Ti(qwS4e;o3rvua}<+3<((VR^oSo-JRu)cM%p zdEh)Q5M1()XFG1rcL%pSR+0b1UAQOM?k~x|(0bB8syW)}<#^inRA~h+!XM$DrlV<{ z+Ny2HXK=%oPS4jDBA*r8ksn*_49;Nirii7^x|nUxUNlqALPNalN{G) zs>6pp&H0?-)pu!THdlovf!kGm$>-hX(cndL(Yly^4*9f4QnxxEUal?lrqoA>Q%~>K z-s$by)x_0O+W!Zv$GL1bc0xR6BmK@w%)NxX*{0O54k`t`dATgv`RJ5V=$HF@V_m4n z9@|{MY)>%7Ux$8grT=b+x)s}V?m7P+MEpkFNJTtLenP);ZWQX4pB;{QWaqX~JR82e z?tIPW!zEAa`n`V_diE#*>z(J9%fZiH02k%=(YZG54t)4Jy8ozV z{jAgR8uw^@-LHiBdBSjv%O0OTFVpo~a}(ul@gc-7x3>s!TsA!ie-l}N=DpJk?fld} zx`&vc&uP8%h(o<;&vWFns|mQSH6;rDx48_iqVggSa>wq%&R_ig0{(pCA=)=yzd(L; z)s4_=|C@+kMDM11(YK9gywN?t&4KS0IDh$b1jRWsKe+Y`L7c*y>fH8hLGff99f$bi zqT$cpHXt77HvzoqKyc3Lf~&`El;gU?PWUUIVyHuX@O}#PXB6psWKey|<6|7R)u~^W zCl*|FPaNgAZ1e}|PYeTRUHr#_d*&toYxKEWUpR?=d3Yso7Eiw;;|*@cI=%TLXMgyu zALgBPo3aT$xj%zmeDoju#o-Cq$86$u^ec-sqjRUhC()VNKCDVk{3%b7f0nYE?i*w1 zeAHRhN#D3Rog-;<9~QHEQ{CQvG9U3w`ycu>3kx9s;$C8+<2E;)BX-dS;*U$WbDX`f z(Azg(q8?1eiR&F#r$P~@Zu=hbOI3cNEhE{8ua)R*?# zhM!>_$&Dk{_Yf0zy*wxB%KXJ8lP$9$dh`_8N1QJl8H zWT$7d=$@&ct_HVdJt&{iTPgm2m60FSXcYDz;kgG~49P^l;>P%3=c5}RrT8;8fwS5@ zx;t*>UIOP?N#Hi#_glp2RSoW3e>Qv|lpY5H%)#w|P|5|-UJ1#$^^=KPzK)-xu@h&bN)-((8sFxY2 z6Ba!_)#-I`5%>tt2k=p?7EFMC-Wl?bSb_WqudohI&t`lA&ZhN7oUBIvxlS*$=$^@+ zCSqT*3Abl~iy6?{WrZ>CI^^;Y$3-^cM zZs4XM-T&F?pXuE1_JsJ`>r@Zbi>Eog%1i>cZ{jeIB55Sm$*^KrFZM%w%%kvbwZ`dr z8QO1o=ds|tWfA%uU7OB9>6r`hvo-ssxN!-ONQ_JQ?W1)UbasK`x37Cr_AT_Q`|nD2dKUQ!@*|cs zp#7)R71~ek_JohT`750l4OhiGy-4%{SIcryJ$pZyf_^*Sqj8P)1Q*4U$3ve<-&2_m zAA`%tK_j8}qx%@!b_@Py(ahnF>(?F0C+rt+omF8F_^SLgkBu9`M-RJ#dy9QH8+yg* z^SJqA)r`z+AC>$KI1j3ac@)2$#QleT@g2B*OZ9Jqj?ld9Y)(E=^gA4}Byy4S;eCQg zpZ_t*e&usg9cxbZ=)Dn}eIOf$+DHwV{_U=zB}ub13d7x^z40 zx3Dk9%L8|h^Ud~Q^=TiIkt4xnYR%q`tF~W|e%yS@+qI>G(QiUsny)i!F~2Np^>p~0 zXbW!hj3wSXYzDaNIRAJ9))$`~f%;Y@wqsrDF`MT*Jxid^|I8AozERKt2V{5txz%jrI=@2_9x{IypX zT0h6=bF+PW6W=@O@HFDP={zx0W?-L@t?Bpt{My&F{%-eJh&an=^eayfr8wsX(6}PH zVjmaD!;v>x=QZvL;zk?V_uDoFw?D6gkBT}&`+ld!;O6-$oJaiFXv8Br3s)8NKhn8vJGW`yEt?1zk>!Je zNA?|2-cOcq(63(kDzbdPVIxM3=smR8un|GQ#GCgXJTf?wj~viDG&u8ng_?Ehd|9Pp z6&WS}Z~uE=2;t=_dEGzr(?nD|kI#?pUr*2cZV$YBNZ(cC1!$L(SDvNsB68(5YFED8 zZkqjvcKdi8+GP~CyYk#_f9-aIo|Bz2(C&tCyQskJ;*%cNsNF026z!^M7x>$LS^fLo z{)^gOzp8&gcfKR{AI|MwzLDHsv_IO_=1yq$;2&g|n&rRX z{8i#+W?vrv{x`>|-A>7RzR^VXKo%7J#B#_i&} z?RW58i{bEb%isP+&zr!v$gkLb56`*!!#U24v-ZNjBtNg$ce;<~bN&8+KJA53zf!yV zIP4yM7l(3RpikF$3H)r8E{@t&d`alVKhyDPM(=$}I$OuPfc6Iu9DUbk+avF~%PPd_ z)>L>-?Y7cJ`02bgxek1~KPSC9KKC-Uduy*fw3$VFBbvd{+i}Q$wb~|nap4Z>BLA!eS7SF5D!YAt@8ZWf zRpxiGI@bwmx2vb1UGJ`lJd48qs8hLM{=GjbUQzwl3gY5HVdkH#V}5Mu z9OCBZgS^f&e6Y^MzKA8nUC9sGe@hVZB0GGNOk9u6!9FGCLGNPI;qRgyd~DmLSnsBL z%xw7l8-Q_$Qiph-@LfN`pL|~Y&iz(tggO!JQl^pK+xHv$JQ;k3bh32#4DbQV!F6hZ zlf+G$9ZOuks)BfQcmndE$8W{BoT|!kW*i1LIdlT)U9-yIa_%*7yE75}iWxQ7CrDl< zf05nAkzR-RGN0H7+&#X-aaODcZp&BJ5wL3+BbWtm+Y$ZLeXxE<^Kt4NOcVZX*=x%B%b%^5a_E^!$k@+~+($se%2} z#t-<4^m^_u;3lpOxObvj3*u^UG}l-8Zs6wnRzLXsR0rJk^#K>he;P$xxBZOc+4~yv zD0W8#5I5ZxalhC295Iu24kdqc^(6P(W+%_@-xc~3*Y|?h|F1jX`p+GGi97$V!EM!Y z@VBiC6eaEj=VkxVi5%ydyvCn+-VumLH0#g%<<5WGkzRb{3%y*G0w4L+t}&!HstM<< zWF(I(f5DZ+m6r}Kwlo2kPydN0t|#5&ese$K`k&u(9Qk{%?x0^;qbcggg+$IJE>d2C ztJ8mhs}m(qZ)SQbxVLmM^R3a~_MHJYzdZw&sXueQ1@n5eeeoqSGEDxqdK6FPwx=x zZSKu&Nv|)QVN9QCi(4}o6YevUdS zI~ZL568t0it3tD&mmvd?2Q%ZN*`)W%?PmYeQ#e1{I)mFfoxsiNNcO38t2gQGr9teo zHfx`mumJ1G^PX{i23|rQ?Da~RU;Bjfuhl^K+YVzptqkY?Y}ZKmuOG^M zPe*V!q(Lb7wjaUGh0;8~anXyx2W9b2#i3V=223KZgHAy2&E@s0^Ov4NTpoMFKGk`> zi@QVkTp0WWTt{rg`qgLtKs;i_E7pHm4BT_`;>pLhdJQfMHYb5q!-e;aU{J7gl_oR|c2v5A=!! z?~=9OHcn;!ek$~?Chr4sL=yHTuWjLQ=)3Ji{o5tgvA=mQmW?3p-E0qkujFU&Q7>;} z-_~c(V7#tf6xNGcH_iCdJjQ>_>#pHI>{sSQnU3V6#&zQLb!;@&op=5^)|WdrgvWdD z8`OiTP;eCKUFlXluIqzXe{}Lp_8UV0czahm=|dA@uqAP>4!lUU-aMs4`J5eIS3in7NvarwT0kF6U5?rJO_0UqBU zdR=Ba{MDRoSTC|yH1pWgd>&m(UYt(;$ul``Q`VthcYn=n^3l<6!EMT1j^{>V7;*cs zE&BCl>;N~@OGx6vZwK@L!r8|)=t=(K*Bt2A9xKee%&(j3-}kQb zxuDM<;rJgd!#Z*|zu-Ky8jN_nQhnBwkA2Mho9NRK+!lK_jN(-OTn}PoIj+MhZ=#5M z$4c?MjNHZX)G^r4ZO_pdmzO;h`8UN2E+oCUI~4tTA!ja9f2!WXpXk%>s=;|{JB@wp z!lA@v0^d)>jcoAIgT7r(KJHvM&j0>Xs9W)F`aI|ZJ2PLP9KIi}>CvY<+6(=PZS^@n zGtVXyH=)^}H^U0TN5y7eO5CpO!TLY=cL-ZCco}i=E7zOsz777Wdc%Iu2V}cWpRQd5 z`@buSeZ~Y-z_|3RK*X=oc8pKY)TxJY@R!|&bDnRMNBm;OWX|W~`^bZr9Nn3G&8sco zD#t@`v+aIm;-2L5-R?=|ee!zQ2>74g%l@td@~qD_!uhD%^S#JUEP!@(qDTb%vlZbu z=O4nj+{Gga;FWfxUlFhXT&J2u;^LQ|p%*bfVjnQ6O=GEFQ>HoR;U2#ydtFzLBE7xq z;G@r|F?{JT5jf7s&*i*77t^e#nqW#teKa%=*au0 zm%A^xY#fI;_3^Tt=OZ_957AAou13H2`?Al@%g~D^Ndt(RHARsh?{yW-i-`PsHu-zU zc^}r}Gr+x&oH)nD%o)g!s@w*3Wn)t3l3q1D&G~=S6M9=T1wP^yb64pG;!$I&O(nhV znTB}e2Ve92E=Zq2@wmu*>@#LO^Fh5Q5jS=CzG2p$=XpPAg3#~I|F~{4)?mG8l{1C( z;xeBLUa02$tndjUu8;BguB-itI#(4Qa-1hxAP*+@@9_8TFYZtNqWf?jZ~kZCcGt#e z^0Cz?qF*~Bne#RxJej!pf#3Jdfkvo*)%f^i@^P0Az(>p*$m_!EfcuGebuYNrbRF|6 zosehy=l{TMJ%MpaHxzn%ITc*CpU(VR_&D-cg6|2oXaIcdv`XM!dwzek&02wr$|JE) z>N5PkAQ$<8%hY1n2fX=N=V{XmmuNh$QQ{c#H%el@%*zCfSM_@tPVF*w8jtIZAM)vZ z_fH|cXTIY&8-I@ct3&zf5tkF{f$MR#!JT{^NIv2)`{;?)I1j6HpkJ}+3$EMwC3sw4 z55>9T8uR;z==uTsZ1u;z&edcellK#zN52js)UWyK1^QL{ZzE36xBN2V`qmC`u_^0) z`Bm`+#BJVt9Ou54(3`!5uz$*fk>ED%FPvXGBj+6Gmo(*lW+vCI^0_(|ylNwGy`u!; z5#tA9T;7iB98c@2Tvvy7V4u{R-(kF>bX&}?S0TBhKgEBe6!$x77uKD;cNG3|wLiGX zcZTaBTesHKueUsj^S0{@@Bc?8;r&sxe97~eeKh7#Kg|yxRX39R9rGC6`Sos$_=Ep| zze$bfIG3GAoNjPWaG5Ir=ZHT30CnpY9EOhz`5p17nis}V{NCc?9DfxauYTAjl(?(L z`=MUE6!UAQ4(&`_?!3tRm`^{{p*WU(KJ;ffPCH}|^zzGs6WelrPJaaMn(wYkT;1~Jc^}Ae+E>>$P`~zTey_2E z_&y_V^}xQZYkBao2?KdO`jz8#8p8Xkd%^crbFx3?MgQWU*S+|?%+%er4DmeK1MZsh z`>+0X61d6D`-vBm%<~@L;XPC&{|&ti?F_Ens3iFO_K^Lrj0AVbyCNQYq8Ye1ZVvBP z-!vYGag86q{igGM!)$2MgnVSxDE3)%6neWSl-KXqjgebQiwP0{D z`@O;B@1~UI{U?CuQ4TG>82+dIZcw{edyVVoehHkv>NkJrRoMoJU;H}(`=RWA5_;P? z;50p_+D~6YpLXw0?Ek?k?)TG~5on+G7r3j=_a(3U_DJyfkGS8#vCzv=36qGs6>Y&~ zfnwlZ$pP5s_0UQ1F~w$p+nZ(C|HgHW^RsfiE+($Rexd_89`9fSaM%6pAoBOJ6=DB6 zRlrq^zKF*r)CX6#9k|!^d^F;DJf8VyW6-Y|)^;xO%-=tGyaS5x`Lgp(Tz}pU^{IW5z{Q^xSzqZX?pygU4RvNx#D3iwo4>_3y= zJG^ZDR}$AxW8h<`|z;|Gvlj{bq;IkyV=aj}&Wh>Lc~ z;I2UjaI5o8C+>33fWO%G82f{)bQ<-hM}7&tJushnQd^Jo%JI1Dy>AhZS0=bSaqZiI z<80Os+_k(n+&`0hcNT%$_03MvcXc~>1%28K{`VBuH9zLv1tsA<*Q}p_e!XI0;JW^V zk)+r6%fm-Y4|z7n=Y$bA>++(0!_ z$+OZao_-I(Rl5xMdjX#hBOe)X7TmT=2UpXBx)OJC0OE1io?yLu8!`;^7q}km)w{^E zshS6MrJJo||K1ajAHC@d)QSE5XK=CLIecV?1E@Fq;bCxBso+WS6$v3&*Lwd1^ea<7 zgx(EL!MZbNwzJQzP~_Q`INT*Y^D*-ziSxgx2hYn|JBR%2^Bv6pcZU1@V3J4N{nUr! ztP;xg?3Zme`FM@za6IcH!9{RYjLVy{mHC;O;BxIh9Dm;kaJ``-=l@C%+<(j#-uG;Q z{m`4(HbK;{9DWLV``%6FJ=^u7e$9|$%q#NxRr@Y=B)!*s2)MH6kY^RPE0Of7^CH$~ zY=n<@JbO6!>@logwhP>)rA#C)8-B}t(@}8oYRnYk+HWkltT~47nSnvyB{!n7$V| zo|N+=iF>6tvd{GU%sYHDnz#(!4Q{{w2>pud3nGc@!CXIfMPqQeH4yP@dmDP!XcpFs z{rv^}-IQWjN4m#PSnqaXt}XuL-)sl;`pq%)>)BIX$X^}Y5AH2I3$9AN(8SHc4$ODY z$Gn^HFA|`SUI;F?e#`4FzMdg22M2;%6UucGQw@3@^$YU_`4Nx1HY+db?aU8Rx9ZdH zd0%?JS+GC(`0@JEZXW7E)^8RA|J}{G&ht+^NjlfPFV>5}d|mX~{=`L6)_tSKcYNM`K6)y(oBq2Hr#JKhxc=pTiQv0}IX@vo!A1VM zW5LgiWPQ6}?4R~fJ)E=dmu}GO3j=XpnD*x)s9!sBD!2?Ag}k{hJ0ud9HJ`yps9Jpg zeDgYq{N>+S`$;7Kd$H`^U^e)H-rR4Kb*#UTD~7mA<-b4D(Hp@<`%~e>-S@oj*|9O; zUX8}MCzx|t>+Vi#aP7ickzS81#PL7Nx(BAW;r%@S8}zH6#&JDV%dwpF-r42gW^GgC zK@846kGMHj9X`&d1=nHD#H4i6mzWH0kN1I(7rz+m#cP!h>%yJB!spSc!#|UcDwtL0 zk8|;Ox87??KI+waj&t8~&S$~+LEuZeBOd#BAIEe2>pA2jZpT2cwiIN2t!;R3(u;XL zsvqidoG~RglU_gM{aJ?A(8?yc#Q{6{?O!@7I z$6c$A{mpfq@dNzNm&15fxkd2N{;Pi^?qVN6ua+&qdUw^nTt!@L`wQH}{l@3o2)`8K z)+Z0RZQ9$>clBiGc4Vb1-NFOt*Y-;YCNA?`fsc&i-!bg1 z>MO{{waCZuoGpz!n4F))5H~%pz{fk>nDaAn(FEeE?^STM{Vn3xP5#Dwxw`+cf3ai8 zzbO6}*ZI3m98bU%#BWbMGVs?8q1U&&fxC}aBoddkBEW6myx`uqg+1bS(`NYCv#mJJ zO8-U@ch#nWn?wHK+D?mtf9_D`qy3o2y+psd*&g_dYlXOeCWkG7zFr*r|BwdmZK^jG z{+F}jkLCAeugGT+;0rlFZg`b4TymI5C~_6UOUKh2KN|<=J2P zy!ifmj7w!J!}q%2qqwKZyL|rg`$2#&+ulQaez7(AQH3oHSd-Hzo)k)@k>11=nqaM9Qociuc z_^WQ4X29o@vRFrYU3S#Dig>h^xPBYU^Skx|>QL6MY$zU=XEwOI#OJto^UeJ4#kx+9q0s-lm;DEBN59@@)%praA< zC8^-X$7ty9JLYxyUZ)S<=}Fx5;`7%%cprM(bVUXKOm4%{IiEKg@w#q$7w3)+&${Pt zeh+z5rz_%~FP_$izy6f}KG0OV985kUcUR`+`1g6)@f_;btlGly^jnR7GymbMJH?|@ zkE35RU^nVS=99cGh7^Wg=D5e}qEwSe(%TZ}!PQqQP(M27@EX*wt5uBsr+tSw&9)2J zhs_zT2d~9U>`R{ba|Zc%YZIV1dwIR9wC$n9)pFh+Y>~d07n7tWkiU6xiQ@_Ui0k2l zje(>WgM2t|afK0&?NAf%O{QpjaM$EK)`hpIZV-Hq7XlYE*1|_`DNzJIvnPVv0ms>Y z>2C&llge>k(x^|@D8~@e%h~bZYRDxX*TLHS{#7poKHeDqy8=}&+f4FNv9-YU;|Yk< zv@RY)To>-ieDOTYi>$bYf3K+Wl6lKph)0A!_ek#&7K6JbQ@P%Ld5k*ol0U(EvHLq? z9^L7hsiZgi{Gk{1$MF1acpvu!9oif5+h^~1zM3q-x^OAuz-5`8$eaEA--YR!KDPTJ za8ckQxF{Zo_ZqX6@8>4!JLWrkE+@VDm(NqRN27jpRM(Cak2itunPQIMy2>a~m$0)I`+zE&hkfEE<98K1g6GlXTGvK51m3mP~M z@dxwoLatSQa5cM87;#-TlJhp`4*YF{1EIv__gVM$K6{y`)yBMt&_amQyUu?{=f26Y z1wOeF;bQ{%ecYCR9G{-)tZ&QwcKmQKt zx#Xqf;~w#Rxmh<^AHQG;ae0yNx1uQTOWxtv{C;$3l)KyWjD z3GOGRX-9C+uNmk0c~RueHs*ayY#R+Of(!Ja@rn|B&s4uI0+%25!tXP>3hxiH`D)C& z9UdM}dUfnup2rvbySLq1eL8%|>;M1v|6B&-9lmdQUEOWeN1vG3-I-bN{(g#j(%WP0H@&e)ahE z#B~DS7j>8Jyq_JJItM=Y-ktW(Y!?-)K<@>lErWha4RF_fEBnt~kpjM|^C{BXvc(a< ze)m57O~iEQb*~)I+lzWW>BZiv;HEnJm`)Qt@E7giBa;fkM-J)y197(zuI_-p32nTHxSG=fT$qN?yC>V=Z}KO>M>gUAPr!`{SwVVvq7d`fKSFO- IWvod5KfU1UkpKVy literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/16.npy b/MP_Data/pose1/15/16.npy new file mode 100644 index 0000000000000000000000000000000000000000..3042ab26e8dadf29b4c80396d84b8f3a57947443 GIT binary patch literal 13424 zcmeI2`G1bb*T)C7Q(CcoZ5RF4PVH;SSfci|QcE#Hh&_lU2qPkPA!6Ug5`@xPY6~)U zYAqplgNmZmPL+6aJ|};{^Xv2Y<$m4o`COklbLPx)wcKuNbGysj?T2=mtsuA0<90FOI{Nnp47h?gLY7=gNVV}Kw|ix--y!b3 z48Zth&uhO^yO_i6vd>M7&qhwZf#(a9y-V$8AGezsjS;^$yxvV}wk> zAJcd9SHElYX}8XUpSV-kQM+ir1<$Fw)A5{pwd)o1H5*^2cJ<%i9etN!Um)+^^D&R; zyN(?EhT2_@b?}o-D&W%%Zt{lO)pWnx)NZcl!t-iq=0xJ&^86U5X^`n3YFCqn@c1I% zAPyT>5YO9fk({4`U6D80;Rc@9Rl*;TkGwt*&ztcPJf6VrcwX*X@*3?uqHdDE9&v)_ zW#xrS#Ki*dPx`cB`QB2y^d{hWJL?I!DSjK{x1o<#Q@g7?XdLNPlTR3juJZ-^56>7& zTtCbiL7!&e96axeE%`{_ZOIv16H-5A;ghAI`~D-I_l_M#yL|dZ9cs5{a}}p{k*yWS zHD-5unfg_gTXdbcS7^}F`t%vt6ZPj352u%@-{pxi7xCP&-!4+SEf$97^{Pf0(0=nI z>QKCiaMUhW2I6_u&JXQkSuW($P04zm+I7>fIInxJ@$-XQt)uu{vvLoqU1iOQ^&?Jv zM7ued^(?i^L#5GfDpuq?zo~nZ;&O8NJZkqg{Rdoq`HAbVyjw+F_btf!)3F$*sWLAb ze8*YLxBfF5)|pKSUP@fv_kmuv?+zc;=kqn-&9i`eD`!FPRoVl85py3t?%8}^?^E?$ z(yIdPF%DPtAny}7I}P(CK0Fb6Rkaq^dAHTmNpB{d0k^(=Q9q`B@GRmYcP#UIIWN%j zUdr+@#PyGr5s%m~3waO$+b}M(fVs(XlJoPp^BmI4U%p{|jyvGq=^5N_`s&Od6vMig z6@Q&ddULN9xQq<|SGo5htx%^_rZwDNgZZGW23!J@&7=5Zrr| zF_ir6gF>v|)&}#U^OZ8-pZ|&Rild#u-SJrqiMy2VP*<|UTI5IldB&ihy)Thxb+i=r zQ+;nhJ<^+Z2e^*vH)fu5VN>EF&vc%bzuPeXm{Nm$y!d*|&t(BOy?+QH?z$G^{KviE z`OVd|8FAg;K(CkW!#vuG<%W>I+;nHe<{`yG7qsR5eI+xAjT0-w%7kbfX1$^`d6-s(1nj>#s z`C;&}L9bR3H$#sxuUeP=TW*>G{f-wLXQzj#e{V|napZ4rK1IKBphW%1izDU{*Hb=% zn_0KP)saG|H!sJ};38rH>t{{^7fF%e>h5!JQ^Rt-o#6Fo|Ne~YYSpfp;-}e5xB9r@502^&^*^!8&y>9rU_P2=5Q>FYLSW(?jIJHQk1J z5&bun_oeY>Zw|eTDT(!NO5_iteqBfqxH+7k>vOPQ4C0y9jrHFig};1XD;oUjcRY{1 zS?^T|Y)jmnPJ-TL{RRFa`8n!eZ3$t0mA_Hvu6UhE&~Nw(+^(;QICb0RBZ-Sw8u8ml zA&I`JU)9`aG4v^R^@YD)TM2r5YZdZr<8y%9#TUR`wHB4hN4Lw%@h=ZUK24p_&fwX% zv;X(Kz}0QPP2}$lje%Y??#X$smvb)ZMXAH!=7! zO;g~m$aU;XYJU*xpX|oIYMQ<8PI{eW(XU=t7<&DAXqay*m!nrhFE9Or^U(a+S(Dz4 zIRL%#58-?k`g|1W#h^*x?n7>H^L0`*aWnZ1#;XpmME&a{tE0(B`5Xcl1+MeDNSqP{ z|ALFbwad-<|EvJ!QFmJd?i~(A9_*q9tUuTXT%HW(JlC$?k9_o_ao~0w&#(Ay@>ukH zFa%t9ZJ_tMg$JYGKYw99t}xHzn6XQU%ZgjUb#g)IP2Mr#(4V*rZbCAG%S&HRAujf( z!#;28zTk1S?1TKfobRCbo^8Ro;GWjtc)m?x|Eh(-RSy3dGX@E1oW;M|c9 z1pM{-{>)E&hON6YprJe@YT?J-|{|SvoGR(DYi8B8FTC)ucMSw*x$^i{lmyd&+=#g zYhS>}O#XxS?PWK4y#AxHUTi>D?VGCi{wNF|F|Zf*D>1b}2lna0{>z5)I<1g`^(8V5 zhresz6!qXO&k{m?$xEFYW*J*<%Jl@EE;jim9$9h-Q0+2UZ zqAR$GsE>0{e-{);amosbh+niXhCFD$jFH4m-Ma9%!z|8Oui;z;y-#NNcnx}i>*h6w z5m&Vaar~ccWB-5ySTA-5&!hA?!{^caWlIt${=W0kula5b`ZdXVF8PS&8R4&L%m8;k zRvtmz#&qOyg>7SfLze^knU=@Za0v57Ik3OUOIbNTU*!asJ$7Rs)=%n#iw~O-r>Nd; zAjRV~-UcoUp24_Gt)jfoO#KCMddvB~?MAnaqJHJt3*f3|Z_dNEaJ<*(jl2)ICf}n@ zTw-xU{yL7&1-11k;?X77@VYx$hV!4;3-PD}zMIM4?d1KcR6h?G)GTp3oT5dlR_MU8`>$eYaW5b@YSJK%557wAje zdyo3I_>@%ibMIKkVw#b7XePnz>s$T4fV*e#U$g}hj9Dlc&7?2v zHsCH(y&2$xKVzSLg~9Eb%gy2cWg^F){Uh!P-lZ}v5>jnsu2|;Df_JJ|+FL69gvjq`XUNPiH zEiQ$55q)dTC4U#f`>^b?A6$Q*0q3l~AI;-B=ZCuT;@8fDzUWov`8z=`2QG(?E_#jm z+gm)|5v8Y*UJlsH<7!b4^C(YmpGENq-?aP}84Irag@hAVv6tW@TPCr-eal|tqdI4R zk65#k*WKaAvGB=U3VL(l2hLB#{$9jwsin*-C8Ex~O-~S~s@W2G(6vs(UtBKQhy3k^ z5v=!p0j^$Nn?yct#}v-<>Pqi*7BUx7)X{|K@2t-k-~lBY&Nf&lfYX3G`-OA8^re zH1uYrAGpoC75k*;%kK;Jeht=#_rN~jUF7rB^Hh&4c{QLs7Mfi(k^toop4r-NV2i$VcAb`;|Rj7V)@7 z-=bgFuMGON2lH~Ad+YJJbD!Tw^xI7EG2i>*US|q(Jl=&om@h9rqCfR3OME~)UZuN; z)8s6+oVfZY0o*RlW0^Xa4E|E4MG$NVvl z>tw6X7~*#yYv-3XbWn}-DwEIupChdL6=OEX!tNkml zyXxoQ@9pKk|ElZfP!DEe7wjjl$2#QATX+U~wP(%<>emZP;dzV;#yr{&h2bMBg@enA zkHA%dkVd4JudgE>(QO*ylo=`_PLa14xW3X5=ZLNR6m@G}@%xvGIgWU2pCjWaezUj) zk1JnU9`B8@!NhHqi`;MM0?e++FC+$1JOftH1d@QIF^aZb#|h1nPI(7{p^gYle9=jcU#y?unJ)UQpWK6E447 z3f?;HeQIqZMz-iN;*i}y0|TUtCvgTY1Y zxsjw7NzurIs4$Xw4gXN$&ZiycXVFUbxlw8u{M!}>_Xa#-eR%{PYngP`yYeLZ7KfHzu|LV%|FNM zVnA2lgjBt%^9g$0crLh#&)Ar_m{ghb{8bBZJ#$7IvoHB<<@Xv_g6}i3hd-ZF!_wa4Ci3qm_RA7jr*b&&tNLv^%$E!Z;CY#NAN{%( zJdZN#*5%Z%{B#UleZ%j+a%w2J9?AQO8n+BSE?^PAhbrD5Omu7JPl8sGj~n_5J~HPZ z?l-;-;_;GNfa{ghFfU$?_c(uTr@_oO`~u!>0_#^sHRE|v8r*bP zK8W(8 z9r4>bBd{OZBA1~T6ykjwFNIiHpH)$L(W@yCwPA zCvFn!{bq;5N44j8A`3BZp|H<;$&v8!3QPr;qrMykeb1H`jcK4DFlC&Ql9k>yCWXcryjVBZwqc*(j?M*Tf$j?b2RrG>NgKQt3RM$@m)Ub zV`547frzJEYv^6_UihfnH*jCo^>ZXsyZ!nt`EW+y?pi`z4CLQ4 zWz|a9PrS(N%@b0w*QhU#cU5-mW7_8c>R+5u%yVyN-czDJUC3&1U8FR)DVaQte8i69 z9DgOn`p&1u6E|_wSU+eBxcBaSB=qrdtl#k~xH?l5=Y{?^2jbTqeX$R_;EVlyQ+@1> zM(mUH81cKxU00Eh_dC~>jA;jMTl82B|65bxqx$@MiJmuaCrpLUvk3Uet_i4HQE_Gv z^no0Y?qfJVr;5!X?s~6>UOjEe{)gXUKNn5sz~5APf&E0Kzl3`8O4NkjI}imfUVUfC zM+bk-@hs|ycy#N+UEm+k5nT5S0(W;_4E3dPr7Q=RTbo_P_iuZzqEG2+!{08>%=2D- z=_K-zLwQ{4(ok?YZPakmtKZ7P$L%x7v-@NI2;y4gME&TLYdDvktGyNe2~*&&$E3$P zH68NJB!8PZ0Nl)O$oy(F-rsGO7py;fgy;9^<-z3RUS8oii(2M=-~9mp)&mibwQsQA z<Msv+mWy%}Fz zAYYp)8tYm-orHePtvt|+we4 z-B;k_zSagjx(~;5b`aO|`ge24M=zTXF0zl|{15pG>&4CA11?L>2DcfXas0!_vVPTn zk!RJr8SX#2{e5ude++sVlDRkaD?=}Xn+y-YMe)EM)UQ|Y0_!7qeVJ?i?Md$z@$dEC z!wa0}_$><&XU}EOyZpbf&yy@8iAxd2K3(F$_1e`FiQ7D#z`f0b zmPAcPJf*pQ?A{xQ#~j^0oVbhPecM)e%H#6)MkCJTgX~k;hkZ(R9ZOthJqIplHR3pv z3L_8RgU8@@%q*-IbM!U*?Yd%EN3OunSnp>0r|rI!hnD+U-|js6^-f*&Cx3C3f8Un@ zN#HIqT~FfrN=N9;-%*%%*(5*eN44j95v$vBJ@hK6Nv}3{gVvu!H@kw%*R=zEso$EvKrdgFLrN>iPUZu@;N9voZ@v+>|!3`?i!z`a^hyrbD^nK$zL}0;&k0G~+n4{{1`p%hjka_%Ob2*d1Mx!21uIMxWxZ1de~pHE=uR*M-ET zZ-4lRyFsj?mGF<`{Y3e9W}l!MbHVopay}bw;`8YCC)^X%zv;l8&lYgq%#I|z zcVj2_o1nqfVvqk`G;RXN*{><{gv(7yuT*~4r~4V>^~!yR{ah6M1b-7T4fWvpyp2zG#9x=p&h9h}$vM;G=f(?+$wB)RhUT+>M_G?v3is^*?ns){6-LoX?jAd=E5N zk8XocJlDB>m=1B8%hUbH$NM{NpU<}x`Sdol=uccX>5h10y`wxYt?EUSk5`fV6$i4V z={MrN$vxurXx7xky0HH#xSjNFINx*JyK+45FJ9x^(LH-2e&Z9*>qXt;_cD+7dGp&u z)UECCVg>pY`w@>=Q4#x_s5L8=xXE0W_klBu*{AKwO~jRX4!usF_WSjS%4?x-nGEi( zokab6=c=tEuG{ea$K+8C-^=8hK%ZW81;nWrDU3^o{=6U|mAhqpj@SoBxZf*71Br{6 zyYM%=b78#lLb+A&X_|}sP4vLsRG$dqX7)Y!i$Cjgon(qazjE>);BLz&>{mK+Am+fR~SRwX^!9gGnVVEXvR_S$;o*TL4mw3e%T4V>G~!6zZ(KBZ_mJZ)%9<{ zMWZNiS9V1td}jRv?xqdKyo*cs@g6FBlmpiT`R}xzR}A}@t9yXsTu=k&j#qQl!~}|e z64$?J@__3(`v)`71NeONYyN zKQd``rCY=?Pa0Je`el!xH@B-`UFa1Ze}|1*4!tH8`Uf%?4~1Md3sIj&m# z5Ki3PG2kYu9pbb<)Quo+if#h8VQIf31Q&!}UX5pc2>)IzGmRVseUGEyV&opwznrZC zh^tPQz~$38a2L2o5!Z&-k=e%gI$5rEcjB&c9*kG5&Bi`6d`tVLa#{WmxE)^~>smeg z3+Ik$!uNb#Mj&tAjX|LNQapC>Mf9t$^55az%CE34)DH!Dyd9F+e{c1%q&J0bg4;d(_i(fISuMoxQ=I!9 zaRT|9_&e~I zU2-EoZhxI0NU!SWMf_$#9@Mj2KXoYSZHErv-n=AU7tf=56IWm60~gIVaGuYU%tbz; zLj?0d=fHLRbq$|on|Zt;Jy4%!`p^NS*Vm)Ky$@Hg--=J=FfZobVE8z7fa~pE!P(^F zh1F#LF5?lW{;^#IaZ^fx>(((`4{f&b-z)xk4=%Gk;5hfbGNhL))7}S*OoQI5{SWFy z?=6V+A_sTGdROTx#6iERA^UV64Q^vA3?Q!3^LvWQ{4eIq?O%v>VV`M?%SHdndHedW zMG2{T+hIAll$=i+(qb-gS9Kt`y5JAJ{k_c!;`%C|r*`O%Tt9H~_xAteyi(k7J#3}9- z05|`17>DQXZsYt^f0Gz9}C6986rL@V(s>*pGfq86V7xn3orE zng~DkKluUo7WsAw_j@jFKfHTmMgsXPZNvS}DT_KZc0bmg?#}N=D*gn|$A8mU&`stP4H+H`JwFclQB&2CZ9@kZPk{d9K&{*T7xN zB5}mc{%q*i?I_3lP39BP&`&v?NY9I6&rqkbN1N5eMUM*5i>@P}cbVBoWE;Y~K{E5Z zVl(M&ho3K!kJsI>f9%G2#O33j;P&+~aI^lRf&Zyv;HJ<(#A%9-iiQ5Cf0=hU53b9% z+Cbd?vEza-eTMe|w^t*ue!X=Qz}>JltiM-u73uY{ZOp@bkT+HFOS^)*#=y; z4qrpu`%oF&YvB)W>OEfqpN$9cJ}<_^F<%h?e^J?jyRTk?>z&Na$<3^Pn}O%|-ENcc EKf{3V761SM literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/17.npy b/MP_Data/pose1/15/17.npy new file mode 100644 index 0000000000000000000000000000000000000000..b4f352f0f18b053f55feee12e922bbbd9c18947c GIT binary patch literal 13424 zcmeI2_g|Jb+s5No-218HG1h^5&!Q3s;wp6%+!zH1Dh?181&tzZMR1EFxVLrHI*Gg1 zYU`@2Xk2ww>$bECFF8*Bg7??=<(KPoe{)<%&YU@uE7yIq(9i$t&ONiRv23De@WAk( zFwd{JXR|>~JZo^zK_kP)g!LcMZ)8~TK*!tmA09q1gNG04KWbpc=PGp@HL6#mY7HLE z|F?f0j4|1QKlIMHngX?Nx~s}{@KJKcmHnFjm-}qRQnafUYkxy~dgw#fZn{yso|A@l zF=0E}MfVZZ-k#dUwCfert}fk1|914S8}RW@yq28dqdI5Cm*e+)j`O?& zFn)9N!zI_Qmu9w~zDwh)8T-4_i8|Hqqy0Fw+o5d{zx4D@aqX(g_IqeQntA`*Lr)#o zb;2l*9=>N?yBVK`{IVPk?zncbZy@5-&r6)Z{i)Qh4|IFs+Es-MFWptHUwX>5+dhk) zyU%)2)GhG8=r#W0D7585Zq5JNCK>X%f`g^D2 zQ`RFtQYX;77oU3-_g`507}pVtaX%|ImBw>3kj7s!2KSr4_oX<0edHC*i+?QQ7tyt! zxcg1HCLdk9@Q9-Ox4i_{>r*g(bCs`i?Xrc>M5mYMvta)9rb6(SrCV-rTowK})m??x zY~0TV#C^u+E_c66&fxk}&T8(niTww85YP6aUF9&X99Ox@ly_HMxdZjzYfn~@@!2pB z)RAu9^hJw|&o*0k^lzsgMmzs)Hu9-cH(hq^CU_$C-=ldp;XWs~OmV*a?{jx?f8}0u z|F{-t=QqY6pLXrAi>_VNErYz8te4R)*Zh-|?D*w?C$616WmrEV?G@U!Z@>lDt``?Y zI}fdmJj)oWZ~Y)*A?}YY1FloE-*)lHWjEn#H`@>&%&-Wj@`-NBEH>d z7Z>Yujr6`vvA^ijX|tW)j=u;lrVXL`nR92J%e0)k8csM?CT` zO)SPGj}T{f&x703RTnrtyH?dp4!jOsAKhnu3cw!Qkra zme8x~%}M|60Jv?qZm!ddVuJXX0(ZS#e+%uBRW1qn(K}{q*N<5Cj`BRU682Nw(1Ltk<|KZ$bGYNCBu6}K%PY*I$r{_*aeh*hPx2AW zqwTPBl=D~o7V*n_!P(WQ5Xbe9;o!XgeQ@Eoa1i*FcHru-vhY_!d$(}hlrKzt_*{y| zckLwa3~nEcLp^OAv-@$5+g9IE zoFA8gt1N?2ho-_zaBbcaFA$GlXy^m64f%1_qOl;;MsBAniyj{!H2 z^Ml)EK?#m?^O44TZY}Dc2Sz72AKm>VxSpRv>mr*k){z*s0-Rkdg8bOd4`!g>ZtFAk zQOL8H-UND6l;)i^38Q?D+&#qUZKFxh%kOD^#f2{?I?n%z0JqIM)4U|sABA{Y?Ez;6 z%EO;^oUj7=DB`?-Y3TXYW>Xz!g>R6*AFW@R_vUoR#lKmx&x=9tFfP3%Kb{M$cPjK^ z<4$@m?Cm!JK1k;-07YLKBj{~zc#)wo{yqRrhnQn;)NDNul=$?&z9Gt zI6b?e9(4B|@Ygjvfy=y=F^{6(MsW2y2;8g~h;=8=BvPD>62Qfubz@zewj7-o_21{f zwa;thfgfp4`o>K$Ue@F(_AA|{E9yai*#!C2PtNc1&hX*OOCwG-HJtKny3zCQDEYHJ z-6+m#o_KEBJhS0%w^E$ercZG3sAie_$$?Ywv3aM&J1*8whF*_64lZR!nisEMz zIUehUS6nyAJ43EEm4T0`7KHtZy>HUX`6$r~oPRxv*4^`cm=|7u4EcZ24)q|9&qTkr zcxQ_LQ4sWOz6a``&+`OVdCt>1Og`O{hA^z;++p$nG^nE#Z2Puz8wSqPXQGF@bAD? zzw2e4kGOCgoW+HL+pJ$n$ITND^sCn7C4I?XumA}@9<(mR-eHKJB^Fxd^m=9l#b5r!@2)@Hr0-5#y&J<{KbQ<3Q*PUE@X~ZX z5o^*Y&w>7{osW3ikMiH(4DDkl=Pq)3mPmDOZ4>K0i;lIlyYk4v=-0Ndiul#m#C6bj z%?%$Bn|=qne)kgH)rJQ_ulJNkJnZq=m5!TIp@@^+*-QSFd_v&kmkaxh>>L4q+dUiY zGvC&xyuJAbd9ZWxOip$_GZ(;LB?cqUqSuav&PP<5NAV24kACg=KRTmdzauo>uO5J_ z1mWR)Y~|4uPwusdUyl4l`^mWT@HbalA7pFb)EEndC|@m<&AXyY;$RFzVkH3 zCD-JJUOqX2eoa~&xT>X>Iz4}K5PI|9?bruo&a2ZA&-sqXgB_j?{?_y1Sf^JXAHzp> zx`6n_jiYrO*LMoRM<;Ivmmi+>blj#@1DDMb!1d?n$g>DdqH)QN;HG%YZ20`19eP#0 z4C!AjXze(QxQc$oAD?he(AOinBxhhTdILD~$O1jzRXf0OTW1`&4X*;uMjvSc{m0C@ z%Gw*;W=ZMp{MF8yl*hWa$iG6&CdWm>F!-odSIGZpjzQpk>H9bFpX!(w)wVpI3nD&q zAAWa?_<}#_Jo#!N<)=}5s;heI7rJ=3?=5ha-V1tjZWerWDsj=uA|9I*2_Jss5aN*o zyfBZtYWh4E58FriXAdL6&B41<9hb?!QNPWv)4bnUkNr)o%trZ1UxIaK_rKTxpKy9E zhzkK2ui2h&0Qfg6;bXt}jrNm)ITMmI{Po7KQ71g{XZW+7UtpiKHOE3PHopd!O-E02 zKI+U&lf{~ zUP$LgHL3~4)3y}$PgTAO`9Hfx=eM2PBAs5A&D>Y>O~ZKQ#{px#Gq`=Z0D6|%0Qocx z^5EQM^8^vUQv~@JHS)AZJf8I2QR8ZW%fI=z&WBg0^N;#mo#LOHGT!OM)M}Vty|WPU zIgR3+Uah0|5wkBBd{}`*oF9xY#iN@Q#eC`F*+QI;o%I>2&zX7-Td}v%LUt<3hgQkKDm2%U?VX7CQ`U&WO`VqyW(XSZ22l3m-t-+-! zOZ5{zVjSZ6{u%lAtxo(M!#>I0=b(6ed@;Xr&dqMFAGx3A#rE4z>+aFL3C>4s@_}B@ zx=8vg$J;t?{@#SV@qf=lucMDgI4*xk2bTe(Fps8HE%>nAG2r&ZV{mbyW*etx4N~B* zip-*ME&c=_Q#P35{Lq@7BR}QBdzOs51Rs<8G}Y(bucE!3PoE0VOV6q_-aU;*gV&<{ zP>IDfzs(l=JI?Pu#QM^k0#Juy%+Gk9nuk*<{-xhTZ}R1s1bwFiv>spIf}S-mgcVseI$^^Yd~skY#v^%;B* zpw82IiOpDrJP5B|+Ua>Zoges%^|bE=bsy%qENKxBzc32i{O|zvz)LIy7k47S^_wWn zi*4V9#(QuzIPVr14xdHk!CCSX;(h`Cj^0Rp1KYKo!DWtf7%!iB zey!tbRYUUWa}ISbrbLE0F8&My7pI?6{Xa3NL!Rp>xLJGw+%E3wNS0TtG;drt_yEog?_^`^{wdrmp_OA zmqTek5!Y5zzoGN-9;%+ahQGbi4P3SByT382h2we-(Nw z{I24@nqxLY-*zwbywVyPSN$&I9Oqa605`ptgWEsnO>|tWFG>AAiUAiv)22EueY%2+ zvYF?lRz2e!SLJ6=JdrcVr}n9_jx*0^;BvVq;+GHo@czX=Q9O2jGa6T}EJK~%Y$;9t zw`+l$E@cppInf-Pwd+dyuaCtzJ+C$uTo#K&zot=}g^t@DpV6-xR08`LYg%U{^gaBb z=MN6Uhy8P9f#a&N#~<#>-q7!htlgb0(C7J{{B>6N%k2ABIBrq<%v!A%v4ZM%bS?fqYtvc<8C8p1EK6=ED;G%yJ>9779 z4L*A|@s7Jm|2%j)xZDcP7XJWl7PX6X+=k|-ym_{~yZ$^nB;nfF3;s;zMm@+4&tja9>`dcQXTpdV z%NFkRtU`6_x8XYEna_(K>$u%Z^&`eyqv!JKj=RB!&w{_*n*-}qw0MK@${j)A@~jWI zz8OmI@2%fZJg?7^e`GhT7hU%zxOjU4T!r`V?fgytP{gBae#CkgwG))%+G{)c9Da)Y z8-0qtXFI%yc;iXPk6xXG=a&gQ2yXI!fDiw&>*VANAC>nK@gIv_cD}s+KpJnEX_SY9 z#h}-}D6Bi#&Ooo;g(J^w>9L;9hhJGoary^R{p{J9;QS;%25v9jAfK+Iwd3rE!PIZ1 z(UgZp=N330wt5NiHqpcfAEI+?r$d=M^LMuvr6)PPDG^Qaobg1SWoSiw56R~}0_TIy z!ACAUIned1e*ca5_NU-%^mEh|3%m?&tI_&W({}qK&N1QOy3=*abI7Wt=r?sG@%?+? zW4hIia9mucc=(&6;C55vDUQp0J)u{1E|Pv`mKl!Q#L3{ia3s!Y=JVDuj`L*`z)g+k zSl4XZS?I;}G2}BZ9-MFb9s3C%HXPh;6|@gL^MqcN2_~Ov9^fKN$ymg>oAwj)&mF`g zYuyZUT=RX<%jj3cD>obGxQaPJ{!>bjf3x8e9G9DaA^rD0;4-2b@}M^S3C=1mzv=z-)SjIu{-L5-&XhdR@8*>4T|XH7XD7OVvB(bpGsaG1M(@)Q7l9 zLj8#N-SCk^7or|yyTa3)-Yn?|y*Mx(>qvN1zx0V~OR-+W!aQ}yJ$}CG z?e0%IT+sRG>GV7m2X`W$Jn!5*j@v!7Z>u{EY2V8hf_ay>d=U@3KL!43Y7gb~yle+> z{`Acy=Pxg&hd9oH=)587(f1XsX2>kpZvLco%93v3IVe6KS_-~#D11!F5O7=m$4JL* z^f<(?-VMV3sUvIPIcxj(qj(Mur1NBJ*N=@y`vHIxY);gpXDAp%<&t z)}Y_pYl+Y432rvDiU*IO|BtcDw~_zGLes#jWQCqL+6m5zoW?%JYaKwpJVAl$nyEO4 zNDl=ro3~A{P(GAXDU-Lx2vNQeOp-=7H=D3*kisJt(0qb4qp6eYqw;qBk-*c#cd#n0J z@FR5oQGU|8&#JRO;$&X*|0=rHK#WT^UA-hZqn(Y&e2&~cjreVwiUS>2-uK|o>leg$ z)&1%?Kd@*zhj3r|zE|yL)6nnt4=^wCO$+FCt$@jnvzHISS)HuNgZ2(+=KS?{Y4Eqh zE+GHradz$W`ZLuh>u?A0^B+0R;W~F~==JCx;H)=a=JdR56u4ZJ3tX=41RpMbK)=Sv z2l2?W^!q7)Js+HVeFe_DRf~2$;$!A>WOV~@TQpfY&KjJee(MxN{n!sdiHLK~Jn|_@ z|6d^!f5tw*no<0wT{QG+{id-_FRxM_#216XdHmoBj`Pn&;LnfJ@3tn#@F|XqUUk6j zZwsj3B~zw5&W6zbpu$2i@8;}{UEmAooMtN1_p~x3KlU*`D4FumqbZ&{%)jrH4DB z;^A+zlh3b7@RzkO;&&fburk(>8j+51@pjp%mezH}0mGcXJa8IZ$Rk+4 z_WeHTxZZb-{Il$!=XiSYK*w2DsuO#e&ULEc^cl_@@eG9J}A)E`Sai} z!8NDn8Y}-4`>f1c-j^nIEy`8YS`-P{Zh1z+D1@tDr^d$j1?TseQX z?LPd~v%<)aXuaRx=}lU3(w8en@#wu_PA{f)qjA-}f%;*C>71i<3F5oy|M%qW%SD`C zip+Jf@fY~(iQZVh=JHPTD^~PFoOb?HyeEo+@!;&mEgIM9vX~bYI}-k^;W64LBa%_i zBDe|hxJgu3JJP42-!Mt>1TDtAn8cDc$= z&$Pu?LuXM2F-{7nOjzra1(C$}CBcU*e)12-EysLuNgMc&NG%y~Tj2e^zc zv)Jj?%W}w%iT9@Q7A-{k2_Fg{wdgcGN1|%RIlZt=!THSWq~G5+7Csl=BTjzqKj7kL z?Cbez`RfPut6&~sV6xQuy`$LaiRTYgDC zQ8QL1yLfuh^Fnrggn1OjCnP#}vXGwA<0xqmq2e|)a~js@|OJCFn z&$a7`<1+m!zK2mK>Gy9n%M;v&bYGgB(XMmS|6%Lw3|zePO>*3}7>c^o4-1jcrl5_E zs|v|@?`2mDVIA{jn{XcE%hSMZ-MZjv=N9;w)z=Uwi@i?!)5J!boe%SvL-qZz+hcF% z+kD_Q$N6%fEABHp5e7X=8JFO=-ntoFzYK)lZuqZuTrS>$etEB~6n~rM>l`<;>H9}< zlm35S%t%@9xV5D&duLqP`Zm<>#r9ag`sN;R{gWT%=S?d7S=vGBch)b&Q$}E1`e}dk zE3agy{140yE@}_DQo-P&(K~QG^dS8C@{!=$%LhLEMj>$fQ)}`$ N*%RCz{Bc$C{{Y@?(V+kU literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/18.npy b/MP_Data/pose1/15/18.npy new file mode 100644 index 0000000000000000000000000000000000000000..53ca67762b2f7704f5ea4b92196f33e827231c32 GIT binary patch literal 13424 zcmeI2=U>!Ew8qC8do0mdHV2SG#JZs(cFn z-~Q!bjESz5?s(E(P30O_-K&iJ{Z3-qt3LPnnR_qFu0Xp@UUkX6XX{qoM!PSytLB;S zI&Lp)M!PAnn%cWlyY1ZgVw2O(|(Jp4Dx7(C|;Qyx9 zW%sIUb*1(N)GogaLc1d&Upbxb^usmRE`CU`cwha^1@|hmy+@q3 zPy08nUG-fFKX#!SUUm6uZ=j2N2Y*(f3qCJ0v2%{|qG1o*tB9Zf&VAmL8G+BqV21wX znm4aqyYieye%Pr$Xx_iMg3pU(h3~^>)iQiu$IYbA`wzxA_^|Q#JS!b^!}+V;Us1m1 z7DxPikhr}c|ENm+C{VS7hS(>XPN` zFu`$lyDs9s}ta zH^=Eko5tX3L~n2%^&Wb4SCCKkcyPWlG#q-?jP!Xk-}Jcnrd9}Z+@v-oK4=~|znFKD z<90JAzM?zkg@0d0JFcfwK6Peaa9dzj41AV!LtU9&k;soepQ=4h|M5TMS%nwJe#%SL zujuq@%Q50l>VeytS%u^LhbVAa?gwzOF{zpJk#ViTdExh%FHzb$l!cD{X2zohzH$JO8O;lt+NM*Z8#A244!=q2_0r9l0d$R8tJzxsIw%%g6T zO#E~P)SKv+0KG_x1Xr;G!DWjuaN8sW+*Tifdea}zftz<3P*k>ZqZ@}hoN{v%kY=JH+A&lrz!8NYv4J0BkKhU#iqEapX) zuO(a_0DWveS!3Bj98G3&USEs2=6G-9q;UzW5OQ#fcIN9aoz=A)n$w zPKu}1xpt20_DS#&t9HPj7rR6CzfVCg>pY}7m#agZUKXthZf@2(A&CoX2U1v4f1LH zBeSPu1R-d%&97tBaJ_1-L}XBDzy ze=wy|X}y2-J@U_2{73$I*5h0dcVA(B*}EA@-y}ace|-+;h+UnT_L(y~;m_`##JM9U zWdRpY`%}NUN<*(VQNJRjGPrngit2wBou?w98MusU6YSzt%QjLxmwJJlqtVmBE3Kq) zt)D~sK_g~jTzeLQo0j(cVOSXs z^nPpL9OQ?m4ECh;Yf92{m`uz|`~R3(vm9q-o5P14-i>pXrwr)txQ)vXAJM!!oxe}J zkAcsdvCzw~IQWaEldxX2p?MV5Pa~i5>Wrm{X+C_SM&9JSNc5|o?^@t|c*2+Pw+p9G zJRf+Veana zZ{p8l+W9Cy34c5I0L2qJ5bH>nsYm{?oe_`u*DKEXs9PhU7c*KAw+}`-A6~>8T=y(N zb?#X=#c|fE4)P$p*CHOVss2>wV|=DVuWAoP{5)R@)}0QYihf1MKk!^+rVNR9dVSSH z{azbSK6xqxI4(NJgPVf?A%3>L<_g!ZYU+o6O~HMrTl=|Zl+&wk`w`z%*W&XFvuN;t z11N7rN>YCE9$ka>_j#b#AKqdgU}cUk0}mJly)IS=@tC(k%N@6M=-d}gw!&XEKQq8_ znUI6_Nf`)#^HVO2SKO&X@qcbddGK_en&^CHETed$dLqxNTNA`@;-V@3OBW~)CakCP z*KH3|oV_lC^PUr$IL;SQ{p+iX5x-e_HqiO2qUS08pBo_0!l%wc=-1OZVgl$nn6s(l z92Xxr;?#ThV_dAym-PtsSK%A552$rZXC|g`o9u-=sC=KH z*Lm)ZhCVJ8@$;$&5x+dWs}=m`79pQFP2-wzOgb*(za?HNjQE5_BjD3H4&zd#e*hPm zkB2$VUgswLqP*a?M0^+czf7Wj-=yH4U~-ffi7w8ZTfuFnRB-J{Ztb{yMfXGTU;4bi z^r_~2L?+tDbd9zY&&$6Nr>fcz@yPE_!bc5F+JJuN(fvmZIZScpn>-9YjmuJg)>g*6 zurdvCF6g^Kh+h_`bz$4sP!|smjG=MOZH>C(nHNSnF0Ro1RyOVlAD(F$e9Y@x(3_P> zG_J0faW3;ngYnAR-(ggU%vJ#SbOde)``#%p}@`Z><3tOhp)&!Nuc=@W>PZRtpPcz+cBqS%gM&R_aX zgx-FgLh&4W6#}1D3y^0K7)p8T8dShxpt_lO4B-bZ=CdYk{*5OUUPZ71F;riTjKlUWCrgv=VPNqa9E+(Z4yg!ZT(xnexk z$<+49vzp%$oV6_i&iwaHbUy4s3Vckv3g9B!BaGKP%0d3`8e@KCsr=YCcgiHKKiFl&R_f$NAs2KF!ZYAcl7)?EHm`#=V6#fJMvG=uW21h>*&Z$ zaN~8#1E23K=`+kkoc!rG(DM>Q!No^`bHsd3K;4=um*J!4{DFAv1>eaoPwGedUPUb} zOXJP+)hNeVm8;N;{b872>z$)JcuM+x@|73rP*zL9c_e?ELvePBgI=wDHwFF=_hCKS zzUQGgk(pM5-?OY82`8jQ<$vU?VAR?y~${=b$qkGs?3Hj~ul#%W^U(&v+T75zDmCzIOq6cK8^FcEKN~t9Q!I@9XYL1=F&FV1B-(h>ymuT$K3((SUaFqf z1J`dmg6r$CbU*P_$Nr-dQfa<^&9v0{^N!8$y1beL_fS9V@bkIuy{z08dg0p$@yjtm z*!S4@Wa#ad?iZX+uOA%iUfJ+H&@(T(FUd?BgB%wdo{-O9OA(LhziyJ_+@}P5*!Qz2 z&XprVpfA~j;@QfDh!i6lbGp)bFkmk?>i@z~zmCw2#fM zHpFpJ-kW@q65(SP9*O|>D{#-fnotHGxqIhE_nvp!3%$ve3*2Ozz7+ZanZUWIi~U5G zI@lpGO|J(G$GG^(+_aCC{uTAFUkw76aS7n!uj;5z5f}?D{40a2A$M_qv(-<5tF8Tr zx41pk`P=F9!C98A;C984S>T1Yf$P0Hi4QD3(Q#I<0OAyk?iK7=d*nfy)}#-8N%0r< zS%vujX#;LQ`GDKJJy*l0{(Sh@JqIs((rkI6XO4Td-eJ(I$@@{a{N|1!PH*y4Jgn^o z`0$Vl5su5RSf#9-R*iRnkzj{5mZqxHi1$D+lURzg>IVf;x`N5gY!EFX&!qw8tHu0VoUnP`-qRNf7Q(N|5%TfA10Oqhs0Lr@ zPyO~Ah4C`4lnD5YUIxzom;`Q?6~wsI!$ffInNRw0FA+cM8$v!Ym62zYDsg`hPif!N zDTkm}MP>~^zoU}K|I!_B{bHna{n}-e2UX`+^1m^h#jFIJOJ z2(43DDMz5=;uFPV?)(lP{>LxDjw}B@(3>JBz-665v!Oqgu8$jydz$)sUl9ENoI?65 z|0H|TKF^oFrRRV97M=wqKIIUj!E0`)tEo_FN)B;T-_edU*A1VKKCzBoK+6@bDZV< z5u6oSgn8H5%c6eF&uhTN_HM+hwpLDWzUdFn-;4t1H)=!AG94s+%Urbo6#AhQ^o@(6 zZp8>m`&EuBs2}N}^<}C@)4I#oZU*#$bnfsk=3*V`nSPO;w0?PN1Ng9E`n-E@PjnA< zuWUqVaJ}^k)&*~oT+DG<{Tan+H&dQj@n(r>T)jzuu6bS`>q|w)q8`*5dR}Hn6#QlG z1gr}i*pPp58 zC4Ij^6XADg3hDC((0M(#AkJBnna)A}ogdB%Iqi6m>sQ1_A|CxmAmuG%s~E@C+)wba zcN@|9GGX0H_`i%Lo=1YKRT&pJ&a(J}^99?$^~asl9hc!>P(1y%gWIfLfsWhfe^S3m zA>{w+Z@TY&m`V9r-3Hu5nAT3uhtTg9tY19FtDY3WelAaDM%}793sDcI>DuK^Z*p%$ zzhY2lI!6L-Mmnx0G$8-~X#dxVAuAKpID1a#yV=l>>T2g2tQXd+5c&H*f{)=FcQ_w8 zf$E%h%}DXzthij9KL zKeQfIm8Mu1Ht;$6HQpl;KO0gNd5~o|>Q;R{7+m@o#IIv-;JJ+DIz;)OP5-Z9+a|AY z{i>J);QUox>~FkM%XN-3S(C;)XAR{c#&5IZqWC-L&Gi*n@3#7@HIAF@Da6m5NBx^K z1=c&RKYt0XPtyP8_1hzp;eVTcuVV8J#<+yq7M+-;w=5G>>fMb?ZK_J7rYvRh@5vcw~WI;F6b%ah%mxl!w$D#OKG7k1w6? zx@b#^-@g#@z$-37JgV>a;9}qJQ{Z2361YvM3oZxc#r*OeCnyigIn}eL(K4r(*J=Io ztlPoG%4HKB7o+!*f2N64Z|w&KIc{G(0%yYqg3Fdqpf^Q|kpD~CH`rIE}pTL!3M2{L$dVG#~yS z)xTZ;6!~Xc_GAC&>F1-UUIu#B>I~h}UeI%g%rX#l%ep2qcrv3(S?cJ-1>sQ`Og)o#T8(OXcDbUQ5AMc{;~M z%-Rsg)rWPYKiZz+?6P)-2;(p^o-75b2b0%Zl_oqDJ*WoGc*=>Vb8MMm)B462`^6>tJ4F!Lj6H_ETNu_6~PG ztau}Evtt_K)ZY)p`OaJUQ9NETR1e+0#q*=BOZ$UmsWjdXMmry~aSim=kAA0T|64`( zlbRgs#SZqxJnDdySf>|PTSL$8(D&-1{K28{=}OQ0D(EBTizm&Sk(j2JCuY&SoY;%J zv8*YJ9T&Ih{>h_~!Nt|i3!q>B6ZEo9UvT@W;|l0g=zh-L^hF(-A=$cl(tLE~-O#IF zGlScnyouxN>(Ah()IB-}=Wp)exZ2$i@#~h4!1?*hV;mO^2T|Tazk-iU>41Ei`t*D! zqMs6v{5J~vD;1F+ajPxH%bH!neqvvZqI@o*|3}N+Pq6RF0UmH(I2+|B+cz_vj~?(Z zjkjVkaD6`aWXH{W8kZfO9o*V)$2ra$Qa)AiT{@5A_Xi-JJ#=qpOZS4a>5KdwR~1Vj zPWi+OKC=Dw1n5&&pQD@%?~TPi%D>EgmgcLC#k{C4 z9iZn2%2NG%Mg8J@Sf=#*Pvird$J}$4fj^Ie-jwt}&+}x!{aoy91#U;yBOWo9{M*p? z60%Sa;^!CQeqzqibE2#!FkUs?kMfq%oZ_!I23&VIj&&;THw0(d=y$NH?aje19#f_j z&C7E7J-&U}A&?=|53x5OG{5JWN zN?Z&7;28Kw?_a_7{^1J#Zw8$4xPDge1D9Es;QUqhZiBO}wGbyioNqbw!-m6$2gHDj z#=hEd-uW!_I?qUOJ;j7LF28AU+WAYLAR6z6_mPgPrfb0U^ULHjeIfE@GUbPld0Y~C zwsGgcS@ucff3Y>VI7r{;2(#dn^Vg&LgUjk1{^CI|aCLJD@ga%C&yE0>XSRbI{|XBe F{|EGg^i}`> literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/19.npy b/MP_Data/pose1/15/19.npy new file mode 100644 index 0000000000000000000000000000000000000000..54cb3c00fc44c51befcaa9c13ac75cb596ae8d5e GIT binary patch literal 13424 zcmeI2XLycD`1S`O>T0n%qlVSX5`+wvEUUL@iCc-1sEH&*n;=@02q8onbw$grXscz2 zx_Y$LM~_~Y)!)o{-^IRlXy*@BUB>rA{`YJ<8$#`>Sk4EQ z%Tt@su3QG9T|3n7-0zEaXVgKo>uCefF8gHodknn?-`O9~E@c6FJ}Tq+HvitW?aqL@ zSMWJ6FWULy|LZ>-J0*wo;DTF3)g=Um;B*8#xECiUt`)N-+86?$OG>YiFUR-VJ4nyRlcnK)TOH9 zc~gCHW|96~ovn}gmZkagCieS?rqqAURn&ew6V`z#@b`J!u1EL6^I}5jEW&=zzvMRj z2Snet?WX6icwUVtgLdvx0qcNux_S!FPpF2xn5Da@z2?PLc>d1pG_9))gvYDEvy~&hH38h|FgwO_ zS?U_ClP0;a&e((v@!*e2L$4+eL>-&=B``noNI~j1_X5&4I0Jv~`G)GoeF4U)9-NvF zpVoe~5A03=*P**cdf7O`?oz*->LIWCS>GtDSKV)bJC6olvO1ot)m-=_>;xB`vZF3# zSmp`Pe`|nvM6S8W1NR$-ap~+0X}mj*gPWv+(N^!|@t|>ixee~r{yY<0dxEnc%TOJ3 zdN$p16DmmGX#hCS`38EG?H6$Ax|{U={nLyjg{l}1hj&tC=@5e!wJL|iE%MLl=FFs~( zVY$3goP4H)B2Lro^#reUu11eTJSy22>zuvY+|=rYzc=)z>@@h832|XoFKcu~-b8E% z$`9MJ%5weRd2s$~8F2nCVHWf|KEuapcLVjWIz1k5{nI7NYu8eHL21vvdHsOx1M$t?r8T$gXsx z`Td%S^x=PXv3j$S_5m?J3I3`=4#cTaCzHOzebl+EJRalKqiWH-G^mU?P3~f2(Qkoh zn%}uSE_&I#gqB^1&vzjd|Hmp+Z;i%dJ?hw^;OavPI9oTYnf2jMic|c3gDKA;pSprq z-35R3vMvi@zPpbMM0Qt==^LoBUM-xY+3fuA4dF`alr*5p~9)Ntx|GVKqtnz4=2D(BoD@_RZO2@qQHqzI6f%Dz*+8SZ? zT%3ZQALxU8iX|OJTfGUG53WPrQ~VXm#aOPFeM9`L-wM>fQ(mfP1b2*Z1duvmY*F zJ*t+A!BvqX#8a0}wt8n`dvG?lCdRAIrb2Iu_Mp1@SQPnmHXlm#O4qZ3g*?_>MUEm}>3dZ`usSxyjGY0~g)=z@1~Q!)?F%=xuPBatJ=A*zEa;f7euS^QP)h$k;{&i4cIu{0C2*!9D`jUU&-0)$w z^Utwd4StUCI-UDry$GMV6TIwreXGL9{M;G)mCl#wXZ6x;2)L+0_a7&pH}Yv}kEM9V zc%dHn=NCa%FBbVx{AK#k`pO=G`j?;Ufjhrz^s9>&$3DQKa)XP5UbNnQ^G-yZZiCRT zU_dVrJ z`y1c10scCm5$Z~Ah=vbaahmcuH+iXz$Lw2)ep%LO=vU;;Ki~T6U-H3Uv0&nl5`!(5 zdmM1taXGkb{;;O?(O2pI!yEdN{%-%imNS<^=vR*Uig?8Aqyd&Ix7Oh5r~+3xeXtLR zsRzJ$jpG=Xs=g0-Hu^8h&(^z$Up`+t7xDZ^d1H+z56%_$aLb*#xlre#PcN#^)juiQ zFMrw({^I*S#K|tbL4MeUy71Ra8zUY*;_YVZqbmhL&vFThvq7a%*2me^72J7SnCh^G z2j0dJC<=J!Mz);nvO7H_!;9YOgo47nSl- z{=Gxtui^?XPEO~}*NpWtyaml;)y|VF*E!=Uo*&yF&wAOI1=h#87)RrJb{hTam@Mrq z*Ex<8&vXu)uX|M1`mlMSl;>OVh~M<^2(?^YrTZrvQU!U|F1JzVGW06+JTfcI!@7}U ztv`EP5}c*&r@Tc~fL;whLjB&J2JUp*wHWdAqw|#ATZetX+^jd<_ABzXLmt%SZ_t~d zL1FM;@s{$uYA?kxgJ*u`OzaQ zV_wwmvUD!orF~eo-%ay1@+Ho3c4G;~<>YCJy5i;bEU@u7#qWTtSRd$}lsWKGJsyGU zmDdrEoO+UciXT8cVpeU;i@4s1_LJiUp=Tw6Xx=xLn1c9wQJtui^Q2FS?PL4pOR~X- zXPty~r|!I1hjA6F10R0=SB#gxn$_2G>AxP_B%ei{8&f&P`pCf@kO%H@ocfJw+z zXg@a(o`9?9wNtH+DLEH;X2ZfTUelz>8q0aX>+pA?8`1g=%pGZclqa3P;-7)Uhs>I8 zxj1wNdTA2C#mX7T5BH*a7HMBd-=6M)=8x^ri!4(xUURbOIQR^tdxBoo6nZ{*5V&47 z33@(5fSUvR$6LJ|M)zvjs224bH+h2PPUh<5|N11|XBK#lwOsA2fjq0vBQRdpyFjQ{ zI@jCjy+EF-ihQb4K6L&zpnXZlW~cfr|5FR=BfitQ!&6Ixi;xGMtd9uFxc^M4fOvHM zpT}4|+mzAoU!M_=jPjai_2x0%)7WqZA64~wgw^x-g%rQv5120PO@n zOZEA&E8;h8e+74L6a!~Bi-%c%^ZW(*pLGZ4lUIbG-$OaU<>LmJUvaQbH!mAcJk1MV zvP&4 zmgfq%6LhM%z(vZ^%Qg<-l6|P<+~+ysk)H;D z^Y(L5Cr&O!<7zkBW{g*!|7*47sYCgKFXlZemhVSF%*b?*m!CQ=F6P3ad9af5AMe zKQ|yw9X|!{P4YX z6>LT8f*oCs_`}aa&weXI{y)Wnn@zFc&X}d(&czLQ-_fBT!A-HQ#H&wOX?<9J+Beis zLB!wqARcwzhx|v6$9VPhR|CD$<$Pc`@q|^x`!`13#J#!TqR4)5r|4>|U!l6vytE!d z`v2$zeqh^G#RsS#Hoe*$`(5^? zbC6~7r1%3vupjEwyU@$K9WTQ7?D!4Pn*-$EavAz%kLQJ1&OG0M%jJuSN1YxAUb`H8 z#2-_@#qMR3;n&g+oK+|VF1wD!KF?hjz=yljy-V%75o+~Zf1rN1RHFL7JRa{~tk*&6 zcU2>BF{>T&qbgUXe(%)+H?`=!Ks}^9IE}lJ{^R*6)?XHyOYwB1`C{L@E|y?M10+;mum{fea)LY!=K#=W9#{4lR{y{y=t z{73wY_*upNtE>-?qPh}=dViPRe_Jd#%hE$x zALmR7=tbSWh(`o|^0i!h_6JujLcpDZ<*`q)VVfy_xAqro+#=I&ICt1HZ;Izo4$Qk# ztlCt>**6AUWgZDG-_!}V&pAWuQk?77AkU)SbgUyW&<*t?Ii1V$e(yi6o(ILkhmFjJ zb!yz-(D`*^IQ7fuelD{|(eH|fKNEj&jQneLMf@h@F1TENh~_<{OCRg63Wg&dw#5bG zm6L`@^m~6d^}FCP<@wzay6?p%gNv4tq;HyWFWq*O{C9rEzQJ-|nUrkvwC@i2oODaI zzU+I>Q2S|e#-LyMYf0#3(eYS!yvAARol0TIvv!Z@WqsuSKcMI11JEy@z9Gi?IGawA zPpl!Is8D6Od^UpO`7oU7`RX>*kCV8P;<+%6^3Wy};}ZQ-z=dZtxVjjM^&)f41m|Df zX`hU(JI%ya6`*l$d8z-MUk$9_X zl;^a~i=j`*_jym5%Pqx-ykcLwX){1Qq0QyA`P zJYpn#c$o;|6Q1FI#Tzb|ZhiQUap2}v47he%f&D~B1%o^5=)J?l|3mvmP$0NooD+Iy zm`43O-?tI3MgK3U4}TeD{pGZM;GDfi{BqVHoOjNvzeyil7(S|A>{zSUudjg1xRw-; zXB&$D_Iu(1(YVLT(uac(f9*=Nj)Lj_!`{1X_p&~1s6NfmRLW=8nD$oh6i>)VVA_7@T|2y@mf;n)JUP2UizdY5$22 z&SU-AsM1uoTYH1^lwtlhPE(Q2S$-}C^}xJyP(EXOL2r)E#5!_x39J`Av?;j0zXIz; zo;ZW`>$Lm{oKL=T(faBl1Mb6z77m5gLbzr;3nJy>&v+A!MrOsA8`40 z68u?--z9vC^a2;xU!1qkJHF)t!SiLDvpss#`JR2sOtjzp8}Z1px53rM3yUq67ee8~ z^7@m0^o_BWt2$GmXCcF|e~JQian6eO0i@sB59ftk)DGvAc8RBWQbLe7-su-wNBOd# z9{5rZI$v_-!~P&Vw^H89`_g^sw$FUqukjxV?j&yk*FHZ_MLcP_DgHIYow&=`$K=pM z=+|+dNIunz2Vz{CqbSaAzkrLt$d=$u=>G-M|9=)rGmzZUu*-;lrC zS=7H+Sbx3c=2U+25Ark6HQYgQcFg#@i#&rU{}G9clGF7%PsTnIcNqQhkzWT`E*?E6 zpU#CaUNgo6_Xl3CIJhcO2ArR*G8O%{r1M4eZ%n-Ns!5hR&z>VcEFm-Uz~`^6Wc{7~ zR6mYOD)O&;7E@NQ*6e{^=edsf)gMD9Th4oUQ#^%zz*$o7ILq1C2yk&P8|kkPhmXm7 zn0!*2QT!+Gjf2mBONnQy5AJ;OodE7Z=ZkJv3tVQWeMy%+4}X(dg6jFmh)$^{jW4fnKGIp?g~5Ecoj?zNlOI;lpCYv%UkkJVg0tEvD1H*OSf#d1XE3 z#l+`sVfCu}Yv|RO8mI>`WA$ds#kol|FZKV!c%A%pCR)zpIucJ^j(th3os4)?Z+agQ z>sP{G{9AXP)oY(x$d6f{1$8d}E=%jEJ-tVm7Icp5@x3P|TmQk!;m@YiIW8k6L|ATy z(79%sKi!GhO-J2#q=zJA7i%&!FU!+Q-1uzL0A4Ecv-+<$s``&rIP z(7lVz*-YpAwSzq^7mI1VNT2z{&kphdZ(S03GuP=oOGTe*=9R8@g6TfVBAa5os=O!8 z1@(ab4$9=EeUiP3r1-P9K|JOm{XQe!9UEYM45xESKez$(S-Qq z@f7EX;gPmqQ(*`=>#zv(!UH$s{ZVPUKZt8-h)4cejrQ&Q>&eGw7R}>}aMX!Yuq>^Y zLtSZq_-AAS#^v7zdXsM)&F}q#!_e=%AjHoXe!_g2_+3-&xRmQ$aGiNS_7ncwvpCCj zolW4PBK;kg+3Pvqa&~kKxXj%Ldhy6vVY!H-_aHH@H|j@s>)64|`V6D<-E7DVZoZbN zX1Q3G4RNZT^mj^XPtIM-t;pQJm+S!$&sG zwH-b$H_&{wr1x>wV_#Hqx(~ZV_hF}CHL63Ge->JG zU8%h*ms!2KLFa{YI}P(_lIFyNPo(=TE1U6qUAM#2E$2_#QayC8Pxbjh!k^Wo-zC^X z`a4WDBL?>q@vuMi>U|>`?}(&vUgd~qyi$r*ny`Y;-td*8r4kX>y{ z^KyG5=9jyUjk0>v)1T(0)Fg0KruJ<3Sg-&6_dhNJrd}Vse=7bU4fWBY^+^0Z`0=9H zN1TmWzIM6}e(y``@^ac-%h`vl;A~A%aF)1l zKJ?4nQ>~ueZUxReMvb)Gyexa(a#JfAb*i$S$NQJa6?V>Y`EfBg-??M4)ypJTa2=Ke zZr+^2Iu+gB;KQ~YqJDp9KHTb^n)lCIA3m-nxOh7c<6=vSpRrumC`Noqa5VJCmYjm# zR0cQk-q<(P)t2bj+!*u-&!v42v3ecl0w1yG3-r!~yfZA9*WBR4O5FqJzZHf*A2jrD z`@FpVmi${ah_QP1(+b3?vo)doUrChkpZOX-j%z;R!%ibV&bo>xtq<#15?uUVAO2D< PKVi9cyop~6j86VPEQH+6 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/2.npy b/MP_Data/pose1/15/2.npy new file mode 100644 index 0000000000000000000000000000000000000000..7e77a9a50d19caef58bba095e541e2b7dfcfe960 GIT binary patch literal 13424 zcmeI2<$qSk6ZW^byR_)yF2Sv2v0%kZpy-BR!8H&dVR3f|5G02JKY|u*@Oy!_xH|;c z(BfXK_>;LNf5G$idGh9b&UfcrGdsJpyXWLy(7bK4mcM)_LdED}-FplT9#X7^ELN*$ zwPK}Zv7Q5m3>y+OpzFXP-FpxZ2>y$ySt;%?&7)KOO*-!ZPFcR_eSoGCw)_q{p%6S@6z-7+XMFR zi$%Lvo7>H>255J+b6tg9uEgj2a=SO@Cj4vv^4Ac@t8te}Utdo2Km2$+al25W|Dtfj z32Jw(`FR^P4gGU{ro@q*3f$|cU3!V_%}>I={aW%C+FzEsgXdQz`j5W)h`7w~3+v=K zd6e4iwlBz^tuy5|wVQeoXqU;{4zx$`^U4?WjM{bb46s*|?;oIcuX{3ZTkzTiYFB?n zvE8@@an!DojD@{;KKnV^&pdxaS6y}gDQedNy&QPggPgZLj{7ks;uW=J-KC{*(g#-MV&o-i-VABDFh_hx0yv zHS(_Or$Zi;zVt7iud|H(kLrSc$vijTlD=M^>KwI;rk8nMoE?0FxLX;<{W&`Y@$2i0 z@w^*5+O;%rSocbn2vv?laU!yUCRAZ)*3x@5j&I<#rtt%J(U{T%&fe zefoWhLm%6U=gt3OgM7r#o_)F$Yj7`}1@|(wguVOrE4VIS6yxpcpIHV!c^-q?T@e^Z z*|O+r;&I+>y}Edx_20&VoA1|Q-ih;Vpf59(z$S;qQZhg~LaqSDSKuDACESKZQ~u0+}?+8IT7rW)<=v!|u)le~}T~ z*1N%cchWh~`G@UQvlrm1%&Dow#rgR8N^+M0^m|-#eA@(4ntp7ECg@DIY7+5hJsM+a-m;^{g(#iR+)l{zU<1(!CC|?5C8&9&|(d{vRyzMJ7&)w;p;Lh(~a8shmY}l8X1#bK{f!mpH!A**u z;6fzB{IQptO(uJFZZo)^ngiTq2%An^W}XJ_ZLh{W)6e5!f2=6mH%*Uu<)((Ugx^ws zfxF~o5x;wL0(B}6{SK}cMxw68^bfz1y_n`h9=!M0F<#aeP{=<4>zf5&?{%+kg9CoujH=4<9E&YR_9ko-+m}BJeH)vR z<2)R|_HVNw9@nVlM6$R2-Xl&orwhmVzhfhylfN~O?=SN&`IBygu?y+y=2T<-OuWwM z9fOfi9m4ynT6K?gBJ|nu>foyXL>|Y_MH`d7XxxhJtMWP{GY$zR?v*_UzX=OI z*L!JSFXDP#J=n`M?ALuw0>9qft;m}_`VIEtZbM$LK1Xvt8$^J6ofcrdm8bo{#jI0U zSMBU1eGt#H`RrHvv)>{|M*EZBumP}lep!%b_xlRWL-B3_?A4uR$fr1dB9!dKlJ?*_ zydt=qadtj*id^D6m|a{i6=Ua-U$xoeew}{~u8Zhd#9i=6aJ{nt@}>h8P9pB*jQ}_6 z79r0zehKQ!6=}#k#TeMDbQ?R6y|~yJ+{RA>w`F6o4!go_!A0ecY~QIv5BPP7bvL#) z^u?HfDB>n=F6$R64to5bua((>DMXC1S#_t8{T5g>L?mZgF`t6HjpLHikv(CB|tn=SBjJxz33NAZd2G@JTkO#Sv z*Cp>|bBv?=@et3Gx0Ns-?EKC=UT=c7`X|IAd-3_i?U(^Bw^qY`C*KX`c-nS_zHF6z zD8=vjhk(2MiE%DEiE$Kh+re%BIOyn@l02_QbpRKquYsGq9WZ~y=@@W5>HxU-yCv*R zm*+gsn{C0mlyDAZ{qxJXUUt^S`ewsQ55{q1X(+}}!- zk!O)_HsZ0*3S!)qyfYVmC#~l^beziebE;w7ZQdK4w^PGlFK=bTc~8}>0B#H2LOdc@ zALK{xO~E=j4d*R>*JjdpakXIYP2h8jJd`*OyOjiY)vK|7y`p2#ul$1Zu=YISaarH; zJS-mwdmT9i`8PrLP##193p!#| z*Olbg9&ZG{qT&NSpF}N;Bzqm%5M1SMjPslHwO9rHxB&Q-BU&SVZ&278=vR8de0dR` z|1UnQATA?ofUC?65sz6J3GRJpk2vl32cd88WEcva0(Y1%nGJor=}x3CLB~{21+KdG zM*Oz((s1IkObF{o&p`fFw&yt_mZ`rYd;A`fCo53HzMSH*E#B~Jk@22)< ztYc$!_T~5XR4W&dy_xhU;*r&|z`yx7`B>s&O&W0X=p6U!$OqJg=(7!e z<){_luIIj`WG@R(fW2^Aunx%O8?g?^57qubTwY4(>#tWv)4fY^ko#3H9`W0vDXJ5< zNA5FM`@r3fvK@$OG` zeCBh=`p@f#yKHr#W6M2f`<(?j{w5ze|J(dAE@IkgURVEU$-LfW9yd;HJh?#N&!*!anY8S%sA74!zs*=jZtKPU-LfEvbmWXd z&=DD)VxHUBy7NiL1oAvF4w`aSv-#Z_{ZQhqtNXIr~DA~(1y}<3qHte^{D{xzs*9Wzex!j+3B-!gsd~URR8o*wjIl??+3h1~( zk8b%>d<*q3=!d7kxX7sW=&ubw#C7xs=f^#6$m@2lb(kk!yDHF8ISL{Fx<$Qaq@(g> zWxn`F<^>wGB0p{kkBi!0mGcvRXej)qN)NxLd1a0>O^11~U(Ed#19L*hecFukgZeiV z`Z{$UjF-sSs59x9O=p=;|AaW**3~PBi?a(jp4l_O<+(LjC%r6xfZI9k*nY-d>=z={ zFW^GGyH0V)14%G{?D+~b35{UZo0cC`O(Re!QMM}26gAYugK%|s1&&N#q&I=6xxXF-MaBSUe%w%-sb#i z2=!MVy2<$*H3Q>lOb^Txl{<*}-c%TO8S}X=`j_~AEgQ{4oZhR99A`J)mvvYt>?88v zRJ?CGxd%G-#%;u-i{&3rIwlA2r*>*3?r-HiBZ!N3zq8-mn=rmAq(m>`TK~oM)hYt< zm;#ZJ;QM>B{@F`xf4md)tv|oFnk@XC!9=HBP4@OHuk$M780fg}`FiXoxr6Sv0`>#M{=*xTFrhZEQT zHGyAmb#mByvG+Sd=bwe(YVmljnj`AC1@RgOQ^8gM;rSY6`c4?b_WVtjs6?_c{9 zm)rRKre5TRy|*=|B5v>IMx46i6ZkdZ6}S2)a4(AM&V8JT{HuW1yifThzOTIwhrKG? z8g*(_G>>D_qOg}E+G1S1ItRf;#_r4)&0j%&-2k@NYxw=wxu3zk-}=B_=Z}TG4mpMQ z9rflIbC17gn)EHANk?2i4Q_k#`<)n&2l2R{3V^F=OEF%0Yiq9Sg^BMAE%r12aW&2Z z-ZXv>vfr+Ny8)piNM8r%=lQU58MsLuJplRn?>lh)I2_z--2>-U7xEc?-PEL<&vo0Q z(BFsI?$L9iAb+=%e`K8wo&5Q*UfGD|=&!pm2r?rI;vT*2XU{*WZ1jp<-qO5UR{Z+CNG$e$ptQ&#tkE``(}Y(SEnZ1 zH=S%?->nn4xz~~X#va7JqZ&Tocv9xTIwqGt8cg=)@4~QGYdz?=-zUx{Zl6B^7wP{3 z_tHO$Aua~aWBtL7{pNeW1pL@_j&ouutS91)YwJrecSGxgt9*HR9jjk{9&wpof!kab zT>DO99kbcSvCb4fa8c(I_GOVT2Hg09z|H8VV@Sul6T~r@0v}}(N~6H9nhhM`LRIem;OYZ+P4FtuQK!d zrv36B<7;-O<#=+fM_uUK6FtNeaR*#YX^eQ}hnRlgpNjE#l@A1W=ZgeWoZf`N%y;Cu zNcW=I*J!$$Z2W&KH$5H3*CcB(nRL7~?V<0=@&B{sn~eRT^C1Itbg6|rUWEfj5O+_$ zfQ#?9W50Iam)%C(7U%{YJs~sK>8*~uF3qR~ZW^`)S34r`{~*=>GPsP`%j3Rt5$3HP zzaQM@*bVNL+oefg`f9_kS{RRdSM_F(B(57yV*O(;k!P<{2;Q@FZk}&O^7k1Lsf{ne zUQOkCRM%cWN1RWI^RP{|jQt+@?>y;>Ij`|PqUHv2KCk|Ze9GxX=OLaNJP-AE!QiS@ zP3)(pc^K@ys5%%IQ7U3C;{03;io-WF~PuJH+M3^UY+-wNcv*ZOmHtn9O7{o0|pa!*B7zQh^HL? z;l;y=tGsJi=YA&E30Z~nl3luu?bG{%i_O~#R4K5y~zVDx)r&EmL zeeh!J4!T$EJ=lxUr{GuCdeoTwn%_5qyJiGBFz({uKd3L!V*N?TxL7ag-@@ zARe8y-c{0-wWds_tEsx2>vaDfaMid}B=Ll=DA0GsgTdX*h(R;k;(rGI(AqL>#T3Qopii!rJ!T{68{fAt6O{0are1? z^_OVQXZ|4GA3Icrjw!MMI=c2Eo`*StSm($Ous1=u79pOw=~0i~)s$Q>bDqJk-pu=# zr;G4B$ru$*@yJ0{p(DE_e)k^Rc{%BLMK{5(jO~Yc>usxt{Z}QPSB)tqZ=y^GWp)(}_Y4}sex%X$9q%?%yd;sfFlhr2rH#zbR2 zm}DuzU79iImtHd`(wCs4?=4`S>rc-AxQ!viy(&KFyJioOH?Kn-kM!KLe_(H#r{lWl z-vavL^KNk2q73tmy+^@+B>xW1ZhO!1k3ah7L5e@@KJ>k|n~{GnXHw+HbG)wF_53|e zj!ZWZIurT#aw2nE^h=)EwuHDT)sN#``W?7B8ICw*w^@kCR;`M7Y;>*>&{-V}F7B5D z7i*J*flq1-?n-j}-oC*YUw3T<^lh_xK73UtX$Os_I6(q*t;iuZWkBZfvcNo;MZPG4!=5cDDza4C%|tyULVxjDu_p< z+OvhY3*dEC*hg%?zZ}*vuhVk$OP;M22fJ%c$N3WMy%C%TyZSxXOZYpi|Dttm*n4ID zVDG)ijeSJd;q#=Iyfx;no09Yy|htRShKn-kCVq zt1Vf0J^#{w6LCGfA?Lr*Ys9a8H!&_coX_X_$p)-To_`?XRDJ%1y}9o3xQ7*mU)v)K z*U`Rf=$A@5X#?rY{QY1r{rUGHu7wFl9{PoXtIhm-5B)3?=Vvva=gpQ@h*KVmA5Zpj zGS4ejEE-&I+-Qia39F#vO6Nv?^uuz!h`ZGMUZa=u|Jl`rA|2s(ODya~)wQS#?_Dg` zF}?Rsjwk0du9v$r0%1S(E$jOyW&R*jZT|#)Q+XZd^9TN(UA1bsW9UXE2er@qJ zJWt9!k0N_}`w8|7UE>++9PK-n?7jJk{i+>}{K)HBekOZ!o_~L3F7of7jEllL>>cNN zRP7gCCp$OdHufExIh^zMJ`KiQRQZBD>omm?k4f1M~ku3-h^&zuP%Aa~Ro+po*;X_$1fGgr7BW`H1r`I;>`$g+)q|j;P<8^Z)H2xOiUy ze$~gt(Dy2K<2Zj^*bVkadb8h;4*l|0=bT8~-EPnM?7a=~d%0_3f0y?PfV-q4Id5Mc zOrm(aM-9N`#z`0#cc41f2Ql~`aFzBb$CGcDNA|kiWN^_Tlm&Z72 z{a*}mH@*n$&D8$j_GyZ~#8s9b5x+Uc-)#~;XW`tgcmKlu&2|ELv*l|q^--MpMsR;e z-vjsdPn$>F`SCg2b{+t(t8ZFK++?o=d)2)I=8x(3LmuL?!~}5R{~qg}3M|o@xY&CF z+?_ZF?goA+4E<3lIS)>j z=M(cO@x1r4Cg-8?3*^lv;q$**#sA+lFEh8L{tBB4I^N(VY=3;wK#E7T$;tV7GYjLZ zrZ$>N_HI;JaPPYyaQ*8^aFY7}fB)}g!1Z{6dE=7wyG!#!$Bdnb-+Pz6!|V0w@OaF# z;E*tySGvn(%zHV!4%T_oF8x^I))xZ8ZoGn6CtWSxht!iG-Zuw+#dj)m#K-k> zkoSF8em2$(d7IzQRSbVO^M;jeL;k(Y=TRr_byqy6{UhO54$c5wRhqva+AsU@-Bt9O zf%xU>CukQ{;zLQtWh=w+_pZSHhxaT6{eFvaud40DdS#aE8Abil(cjp90RO(o_DwQ{ zxQpfYQZ@M=^qtN36LHxh3eS5_ldxXgKE&zuc@Hj5mBv+F@Zmd^Jr#mD?dR>NN3Z1} zocFvCi+lN?5B4uvAp1DdH!(ZG)%cIB|8DOr#PgERF``F%=;`&T<`K8ED`0$e%ne*k JldAK5{|9uN%J%>O literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/20.npy b/MP_Data/pose1/15/20.npy new file mode 100644 index 0000000000000000000000000000000000000000..cad2f6fa38146fc232173771b3505caf3b034665 GIT binary patch literal 13424 zcmeI2_kWH_)W%2eeU)8h2dnqqWt429TP1>E2q7XwLUbmC=!wW`QAUXty;~)tt=5muzkSzs9lNJv;cQ&F{sY4NL(4Vf zXj#deeFJrjT_N!{#=>tJ{!*-4_vz(PVM@0u0I^t zrxMXFXHdHhq;}P%KiW;lBWM?IeQ`ewY2UH z^wTFj^}jUDf2TsbNEv~4^Ew0C`Fd(Mo_El{${chP_ixB`J;}uzO6}s$KkmW5i9ep- z7V*FA+WFeF`+xfr&##uK-*JDNqW5tB*|hcv67lP99=Bb)y%242{|Rc>J(Hf|zBOU+ z(e<{RbnPPcKjc??2i?Ja!4h%ujh&9TcA1{;m!CSlMEi`(uiRA!d7p6YW?Q4@?z4<6 z{Tr@1*Tc`OJ9XQ&v-G)fpBy(0_nB=o-aDNM^iFZ@^3x5A&vi#%b64dTfjIfJSsz@x z{$<SHB9bJSpc#r(;Xb{*Ly^d+7e=doMYzC+B+Nt|IZnU#?vSjlzBGeirmE9$o){ z_D#)@A6v9M^1*zbTy~sSihYFk{H;E@`+2Eox_{6RdX5r4bbs%0w_H2xH)vlc{elX7IMOTLL*ApV$y` z*R_jM0{8Q<0%%t!2BXf^n>y!QJNr}#c@d`*(Qe;0Uhn$X+qOJ`|LwcDUv@o*c2W4v z(Ij_Yx}}fc|7|^tlN#TY>bp;?`L5mcECVjTX1)c#jt^HlZu6A}w_Y2-<)VmK$JMak zFi%*K9GGV;=k|EVSpg2c`8WV|Y$kt;@sXLoA$}|tdQ6C4v<0eZ(#G_wDBM+)w;t(b@37%Vc1#S+_T?qd;AJm2NnTq_djxDr@i~k-Yy-z{Zna$Ct zjnk`I=V%@NSdG@%!hxL~Hx(ArxD;vxZu(3tNb(T`#BC+jE=(GO|A2r~2s{gBOg7Y^oK2n|^3)GJ-QDeU2dP*jY zqa1LT>gv#VsyDue@-{IJT-Rt31O1IT;Nrlp11m)5 z30u3Xr{nrd7wFl5qO?AIsD^oGs}BP=i@$+C&)6r<=}kg^aM{7Y-|qH_MLd3;kWX76 zJ;l>6t}FUYTL-k)PWa2N*%7B%HigFVv_#1^|Re{X}-J4pTjAhua%*fov&a%%I@ER+povTXKa8Md}b8|H`PZ_p4*k_;yA0j zm;B3l5dTy^(fON<@ubfq@m%_Jfq71Es+|EBxg)@B=8oWEXCH8NJq$kb#$UaiUMwF) z`YAoZP4O?7FYH|odfs8DkOwoj-w>zQbB2=7%e3{O;Z)R>s`MIq<@Gz|?SR1Zibr=T zpEY`b>yLq`D}IOOqi&ptb=59>F%bU!E>S(?%trbza*T(I^Uodd5y`Kyznd0SCp$gQ zd!F*spfB=i!a9XHJ$uM!;P^!DrqaD8+%@~l?+VBYas!QgVq5E`$kH3FQT`Aq?5@nb2^9@oY= z&d1VvqMx@0x1BEr!~f|%=y{p%sc!#^TjIDLL0n8I1ikLLC&F=6H*lKc za(y=17uvkVbBU>IX9!#B0*cZ%(*@#D-&IrBoD-JG44xH(HSh_6WCfyPA%k3nQ5iysZhnT67@F`Pi2`5T{z%isFAbOCkQNiNs}J^1pEwA6)g0mi7ptk`Xh&Qf*=d~X;L2rV(qaO5_?~qSfV#ihw_gv+F zpy#bPg67Ma?%3~?=OXy%-5sdk|DK1tIAzahaB-;*xJ*8dyovpHNgsZc>fz$#c}~w) zMG~KJfX4C1E*KXcejVIoTn)}zYUuTs@4;oqnY1nqYCp>Ph;y``%GrgnzVY!nMu0c$ zMLy4RQ2dGc<~YuByrOx;`(wW7MDOt)sn}$xf_cPj7pzz8bp+OJb|Da)Z>IB)ID82C z)Ne+^-_91O2NviTihez4J>h;5^Gn{ojruon^`K{Uj-p>NCmQ>UE}sir?Q4elE)pwG zaz3WmAoObrmB&8F3Vo3-PWFb*p=x<1`>Mzu>tZse1N-@}_+$57xiS7{_`09H?_K zuLtVHY%HUlzpdy`{oXo=IL)?mon;+ET=?(npMSKJ3S7(2I5fh~K`gz6d_QjHTxqlz{hZHM#v3 z=vTLZo>vNkkEoC}$Z@@k))UtJGvc@Zj$7`0%u0Xs%bM*#-P!|t;+&rM?FFvFt6KNj zHWAug<;9`YZ^qn+pZA-z+Hut^C-froQ_OdL_0M?d^M^n$vS+1ndEIfTbpGT!DPNZsVz6y>l@=@5yK%$9W9pO|FRqS9huo za@=&?g1FhowC{(m&YJE8J+9$oAn>5KY8 zFY`yh$C}6Bw#@JJTw^n0zZSUglFBAKi5><@v@aJg+!eceUf}I(^TegPWlK`Ly$q&PV@y z4gIpjLEvI+t0>3W{rv!%_z*;$YA(0`?KBWq0OC6SV20{Gb~q~CrH=Nb0LZ=)TT8LA`C zvPuYz@4g)29;sZEUrPOcsEmAyqm!`z^5?WJX`T)F7nAz8az5-#8`6*DG%h^0qx0eE z==@_6%2NEx_KtFTeYhI>)n7i-`6_*8++Ne3S`t|*{mKpEy@ng7B$59@&&DY zJyP{-V^!i)6EW|U$488>O_#Qh_d5nX+ZWf^`P-9QkvG%m5cKRxcJ#~JW~P4s?T>L( z7Yf5i1ka@L?SF%Kzch2k6+g>g5}YjtreV#Tm5|;`>DJX1wBij z0KE>|1%G+|0O^Y!MV-i)zgNO%CVf96J$%5$hR?&2QvGGlsffq)Y>si{bG9RXm2Mq9 zmv>I&&Hh|?sncsl?^EJKGjKihRvh@O1JJVr@yLTLI8-~Xj3+(sns}^x{Fo=+v(yi- z5Wi>=0M0Tu9|Qe+P0zI=5M0~h;~i&z^#)g8W5{PnMeL`hWZJxVbQ4^ucYg2*qW5S% z=?><=?<1zbW<0O*Pgv!+EZYqJe8;Yv?z6bmVz|4q_7lOy(`0b@Z>#o> z+qhH2BM%avI-*@tDmUA5P(JG@a5l7L2ghY{6Uxt=#^itY#gEXZNO0BZE3FT^!dgHt zJTZ=@$p*w}JcIDwBwo;a4c{1y{EKD%vA?iT`o7302|YXMhk42dUZVWx%|hcCI}GE( zyV1O}9^T+)=%HnZXYNIcKZt{?_R-*K@z3D;{bF#va>X2{=P`eSvvyrb&ql0pT$P}8 zgAEx@{Cs=FBiH$o{^58$uNr)BfJdrc7ohiXlXVrio|}xk*|2ER2OI*oQQ5Gbi2FV? zURMW$o2Tb+4w2~_fXf`T---A<0nT6TsZHxr(i`NTe`>bG#mTO>{sa97|3UROCGQ;f zSxlpSkbTz(@r%WSu^#Gz51==!Gv4EPc;I^6|MoDgZ<@~AEV9=q$9b!F;Ofgl#Hn7b z9_P66EDax#JMA3x!}Q6HtM0wYzikQ9x9^K}URIb7AK8QSvdOY=_}~8voCj7w{3f}4 z2>h2F0XMQSIBO9X=s2rd0scIqCb+!!6z5EKm-3)~@d4)twoY++TY7Gqp2o|@x1A54 znDi8Xm4aBuy1aDH%sU|&&%yu z0$uKG;BsjVtS7utHP56}y%EFdx!&i-I>yfjQ2l2dOuWQya1$~Z-;?N8n<+n&D}n1~ zxpA&gRj+`{=KkPz(J$kjKN~@LW;?c#f8yP#j@#Kg$^X<|;`_g#4ppH-h?7^LbA<}1 zHq6CuT6ZA*{Pz@pa<7%nM;xKL5;MAk+noWc9G7_(z(;I2a^2m}(|tGHUFEoW6#sv; z&X`&G0-c`yx|jSvx08zuSXrdm8Jxl}q4nfkC2gYkTXekY;qKpEYo)s~FWUEc z`|MO#KLtlRAGRl!;$IO0ZcbmLeQ;N8`0$KtXk6xajfT&JZ%{urf%auKvj2AUlk_vi zAC`&csqY;;uPi+b+_t0hIZGEF?fSJP|0Uk<6#Ut{g6LP=y$`O$F>tx0Okeo>jHP&1 zW~6Z$RZ%&v8|;T(UVB30xM&N`d-g#RxCx>E*XW42ajsvJ{Uo@4_66&PGS!viswDMm z1{AvDd{uDek?tyFEc%td7pHY5vk&H-SaA_PJnLxWnRjj1+xgh%+n`q)2O~}sGb`5l z$Tw%fZIgTOu>}LPyNBs!P(bmD9jp#OH5^UYmPij_c{u!1cs~gc?3AS^%CbRIjMP+)3ZzCz}4tDaNeK;))T!Y3|#oOAl`-i*`gqD z(<>+WbQp{JH?3$ru_GX{6(-;aTc;dJ*{8pYDxDJPmFV zpX&uK*3CowqB89Z`ce#?V>ZVk0VoN`qbHu!%s1w;T9zOEn z2%1NpjWCaR@eHU3`LaIgC+ETXAewK1ziHYF+?Md2=lWGcLcsO8&ETq2gGj`~==Vo# zA8~dnIoxp`eH8tQniEOChXpwui;x`5&dr0<9Mv&rF(OOGP( zSC8()N0&Rj1O8F{pjYw#As+305c5J_qjg?#df!n+J`IA89!&B0pN5a9R~vQ6e@pAP zM{eX_hOdcpdgVd$Q5>y}`C=05?{xjzlo6Dl9p%w4OSb`a%W4g!_&+Bh4|3qUc;~~X zpFqE=bOh>_^)oA+j~IK5c$Lan-$dC@367idweY;Q-BQY@=eb1iF@HlZ^DV%9*Wb=t zFoHTu82jV>4AxEw;iyUr6kqEu)LAZ-*!sdU+y;n7b^oNInJBELVnC3 z`hT3*|Kowfsa#E_`r+SRLHlf(NqFdJ8FLPU*!_8nXdaj<`z-^7VMXp`V zjG#CRWC3T3XTXR5a2!6iMhnDaH?0~6zmhcXtam+%KOz4F$L$2#U&Qnp;JVpr<+x~h znffhT9Q9)x_K0_!uU$g^gSLUIh{Q3_`%}MW;5gE6pBC=8tU&7+ADi}m9n)c~>KLG{RIczVkJ`=YdtZ9juJ zWz7cIcO=Unk>uhDSV-LGIr7iWBx3#NalzoGa4FI+>V|!UADIb%QMotjR;8nMHv**J{ouz$T4L&*n zd04RwoTdL3@$lMJBOK?eHW2UN11{EogMCeFIw!D&Yrt*uXUgeC2%X1xSNeakxb_d$ zALC8uLy?QlKfGF8Pp3D-?!sRe-Hdt7i)6w+t{=VxS2yTfCs!wQae5m|=YQ=*?^*2N zdoPbv&gRp3l8s9H{^vqB>mdb9Nb z`LtV(`r(t?baejaw<_Rvs}IJPCl&b_{w*eft8n`NuZX!j2mA=lJC;E6UHs56$Z;Fh z3h~%d{xptVzo&VWK+&n%&dAoLhk>g@YA~>sZ3tVQYIS=};qsganZ*W`Ace&&8k73~QnIGy$Uhmh= zBbBpFY5V)f^i-b-UAg1xOlHI>mp{aMDAd$0j_XFv!Nuw)v_DR08U}saA>jO6e)#Cx z4e7nR(L8Xq^*K22QS4{vdse3Pc3VqYe;SmfeR)0o&XyIW|3{mp-WV@i#uGkvWhT;ufcuwbS)8Yrzm7Ef{)agyuwDZr!$D}VmB_2LEX`f}o>H9icYzyAkM6UMe*M!!E zkGVer{;Z=HxXsv&>bCTBoKJMU{*;F@jq$v^XZLX)sr}lVZNT}=Vc=p;59v71)r|Bd z=270p4;}2{Q7_ve|7;BX9-q(gnFYPy0B|*U64k@uJhL7D|G)p68L+i#UUTCw#y)uB zuKLRXe|KILnRC$kvhSbA;5<1Z$)#xFZs@h&15j9Xo1Sw%!s|J> z%v6B(_e^KcIIe!G03RD3iu{;U(TLMt&x>&}`RI3#Z25ljk&j5obRl&X3w5I@;fKdtva@B(ci?_U;{ z^7qjDo_ETN^(}eTy~>=~lM_;2&E;<|z;|y(yUDra656X}xa->4NNQJ$^4@n`k6n#+ zJ~KVqc?h+$sr}KeBKD$P`=q1xAZq8eM<%<^i*c{fF50fR)Nb-IwCnFGUv@e+ zB!=2GwF|!qcOB<-g3!*7X|&5YYS+KqLH{QG?^mEZ@0sNMWjM9VyN~WTuBLUT@fWy! z%C+lt)XqgPo`M&;x_dOKi zHdmIyPfuEU-Lv8%3K?%87TezZz*uOhY(;#9jTy>aba zuBP}@dAy2m-@kJ@S#!q?*RJOr#OGy=A*YF#d+1*I4`biCb~Q2_pJOZ|`sbT2y>;!Z zQYP!#tw%%TgHJzr)^RZ}I(7U<@Oe=nn)-h^0OMDMI^*+tSa*z1-JA|R@44f=`@Ah& z`hk1ZekTyW*gu2f{{6xu$4!QV7{4eyc4b1!dli{K47~YO%0u1jXlJFyuX0>GzZcMOa66X|Ln>{P(|LUQGFo^!beU*SOD{qUj!?|G;zjyjpu2?fUP# zs84>o^L^K@V`^ib*pJmv-)fJFPDtS*ycD>;^Y)taV{w;}7u~c3xXrfoI(X(ObDW;F zxQTUQKYqnJlv5)YJ8qi&O!~7O;G;b2=lHlzdTFoe#`Tt4oro? zli`20KJ?;97jP9flHv?$49+^l(>}5D!E~n=6@7?rO^IUd(>3(eKlLX}mwSq4{b$XTIZnR|nLE@ET9~Sy)+nr*Km|4fG~=Zkoqp z@y(o``JY7oRo?Q%dtGV||4#G4Wtv*xc2LQ3;J-HmXP=&7zU;-B!Oma)S&sa_-lF;a zuBeyecK=4wA4)xED(PV7BL+VL=SeY`Usf^pckrTN;3ob!xcSm$fa5lECvcT11N=>; z+sz$UV}AmddxlW_t71lZJ3e$2;t|Dq(mwGzyq(kYUwxn#CC0%=l!_eY^z2o8T2GBS zz=uEcTkbgTd!G0pPX2**3iQ>#!bjW7w2n6I8}0mM`j0d(wQ8b%Y|fBq$BlO;%%doE z8JxxDM!kvtRJUyXba1h2DY%T84Ik$52wbhoImP+dH&on5~;=c~Sxa_BAE1X^gy{Ec*zYz1H zmX&A%p4bU`b}%2E!#@-m1OLLI;Jio{_=`V=&V{~hf8uL)kbm!ia~x-d+EYFQ(?G9Z zU+(I-to;CbIX4#m?CCqyzYU`M1Iu{}buMOa#CTPks^rtQIO62ZAB=?m53>=!ZQkjE zcZ#q5loah=Q!YgC7xAS@ztanO=G6-k_cGw7@ZS2)$22YsuAhZaK7FS2a9jm$rThf6 z0#`Q^*TX+!4D@PdN6Ld=nJA~1X-|X8Jj1}%=APiG^%V>!-iHl;)#_@6mTe!iySxcyTRFnT+o{%%g2H5wZxNY{fa>~Cc*!QtQfEU z@EGG_t$)M0VDd0<`D7K&1zkTB=bDdQ7gg4iAm72 zp(`gi&Q~u4=dlUYZ{1+h*J%gNo~7QuzlK3C#&$$K*rp|sPkylTpWZ1xazjbP&y)Iq z+vMMH-pOW*;A6fur8sZo#d=q3qQLck6ekb*h`i~l$;3PDB%h57q7Y}uWNys2 zaH8X~{8e!Abw0&&W;679MKN%*W&-vlHD}Inr?<6EqyBZlyx8B=vrR)BSBE9^JUkus z+oUz!Tauq+yu430tQR%-JPP)% zE`f8<_9`U3Q@Hs1HsTlmq^CTT>O9_YKGO$2_P32VXKn1XZjS33dCBLi54iG+8|1i} zOY!S&E8uUoRYje!xViAr=?(J9jwUWjaQ$wNp?>dALcccq)Y;C*R>(#ESwq12{t_XM z^PhWxTffD`8<={|M-Dp$&SY0`Vej>F+$R2je$|N&h(}b7?Bh6l)|~QFZwa{EvLeuN zm2E%imm9iQ1NS<>AS8#L3>}z}4C^UuX#Q_Ms>7-?9ZeACayL#Tk>6{9EoD zI2^F7`TZ#Me)qvUB&sBuo0A>3JVawj>tK}an_ce^TgFk$g_>FiSv<_xdy$+p9%eo z!}o_de>s5eCu(LQ#%0HM!@AHvA4I=u`E+pI;LaaT&pqipwLO>7KG12>MAt80+X{Iw z?-=~qkw!z|fAJ0ZWZQ-Kb;7XRj_b43uPplqjjQg4&W^L^H4!Jv5CJY)eD3eKxD^jy z?OBbuUrpSrZKvGO^Vrn+YX7}(dQ*(pZ{)aS{lQs50nQ>r+BrY7p(f(7H}=8D{#tB}*!u|&YoV1ahVIXQCBABK(y1#R`4@iK9?~xzO7q@oO@!li2-OMyDG6N8pX~4Y zWy90axc-@ebteyxSmpF$X*Kw$7Y#99*}H+CyRRzh-xM$toR2wrnfl$> zgVsfXX1JfQ&~xB&>vGbEHb$P6JwbZ;miX3w(5txA{pa*pj8}|0G|KtgTy#$mbG@LK z2fiEaIE##ck1k#pTs#jQ1Kxr54f&-!IFG4A`@oBe(DR^UxWCDPU&EYU6{v(fa~6v6 zidV^@-YH!0WfcD*I!|SjGBmC{!Q^v4J@T&ym1*F7)q zN74O6>^TX&s5f&tc%{eCn{OS!RoJKC1Q*ZnNr*>O^u#=hfVuSCkv0xosjoDyiiMXr zy~sp*`)>`(XYk9pj;rAbG_Lv6p|^#8*YNjh0?sGSM}3-dX9haXj=VrTc7g<#0ozdz z%y$LxM!iTs{W#{uT%+$5?Tg98vlSl-AODIpuA%41$7fG>$Mt8rKk%a0Y2W+OI>OuW zQ=O4dTWt%*D|`5_aGd9>2OrgL3+i0&iw%N)-5Bz3e}VY^fz2FOh3VXvBX)tSb4yz% zINmfX<>C4$a8~SdE64RrFUsd4`uvE7gKcRnIc`|g@Id`8qmoGO{(G~bHj zxk=rp=Nh}eH}cQBkHY!FTBUwpBs*eU>K|{cQ`Y4I`M3BF^P&q6#JuQ_ufX{%I=}S1 zol9N6c0dxi-bT;AqVja&6KG!&F|*OHG#Bx_BeH&h-n?o^^>8*I#`(xFdd{_TDNgC# z2Jz@tbYInG1daFCjQzZwz7T!Cr@Ahs`8qJF8GMpczc+ibllZch!w~0Q`u@<)^#|vZ zhT|S$Pu8OOD&BznGl%wZ{vu~h>_7bGJ(`!Oj|-iT+SKg6Yqyz_Q9ry<$C>WEIYZ~5 z4la*z*~G5c57l?6zhm9#i03$!=J8sm=YtdAZ(sEO9S!}E zpV2RGO5a<`x~n4{*H^lOn-g>{s0JNy-&0$o;Ug32-esS+8sYRJ|9cu&pOT1Q3`z`f zTz%XRZnxE@^^*A)>@%WNY523U6=}VEU4wYkV#nZb2@ zz+$HpMKgno1LbKyxvM=BFs=}cOWaA1eM~f*f%?~R1HtvG4dDFpo#{@`({3dF_2S^> zZEM`SWZZe;t-FD%>P<$&KWHxT@7IB|#KsdH7hSf2^M0F2fBh8pEB-7Wq+uW;$!+&~Cs-Jlea4xG)0h=AS z>*ry-{Kro;-s%f5UNdblxQ+M3`c(tFAwRP0XK*v@0Q`B6cEO0(BN<#3*+=ufUpgaKy}^m~mNTzO=I%g>i1;KKJaegAXs z5b8~AxeLx0<~Wc3#y-NjHanxxuhxa2Hwj*IUAqiDOZ`p=L7w@n*=?P_4%|fg&;c}G zXZq7RjXMr*&fbBK>~uprA9XUA;`Hf<@roQrXFDI2q`__c5Xw)XX>^ZmcMx2cnF_A2 zOr!W4Od%gp7d*JeMhAysOQThhBiQWosY8L9^ z;?!%#g3E#@sLnGEoA31O@@jCkFOGcv-8IB*@TXCuSggN&VNd#`&j)?(2Ky);QG(W;PNAz>U>nYp`;&Q6P!KvhF+H% z1a6C^A^l&!OmKQrfc6tv_6p+U-u@xrHN%bku(!G&g+ug?b z^GCE#va%N_&*90wjHr)@nM^DaGKVSR}|*P&n5hQ9BzR*rRg`L;i}`Pz&0pR=Ie zZ24ovuct#icE`a=E*^fPDAn_UF5s$C0M2)woSL6?Q)#_#TZsKc`uUPRU=r4mUH=&M z&rCh4f1kxzFV?g6IOlKDlqLPE3m4pbo8zIEdu2Ya5s&qbLq5gDiQgk0pHARYozkYT>#I&B)%gGyHidQqnr_6HUb4}VswJMlA5qny8O9RzMhZXn*Z)&%t1EgQIM z7Y8o;j2hv%d6|fQd4+Ire(?&i>p=yw6JXBEaP{p;Wym%TG0 zPS!RG^&qO9Uk1JBM)WHSw4ywe{cA4bc~B4jvT-fc8?P1=laS&sZu~)cke#XCdIe&= zTmQVYE}A?gpQ@j>I3L!hH|gJhKs;Q(_jW!yFWvV#arJQk;?Wz9z{dpN zo#T8|@A)*|uymCFhW+O{Jx`|fsH!wTocdjhtxj(|QumXqC8*zVvvBU1b9Aop_FECZ zuD5xy^I>@pqFi&+(32J@JzVl+%NT9Za*Ac_q>30r!vw$rt;HsG+%do6ny@r zeU-JLdzW6mgZ9Hab7ugCxuZQ%-2UE-OojadDxd^v$r!{{Q7l9_{fVZ;BTufz;mMNP=WIEJR9mRe{|vbKdk58jndv>y@0r`w?{90s_2}bW9XCa3y{KCB|0;Ii51k$7 zv*`YBYGi?4ysp*AJB6!Hbf1)E=y_ihTa0soEo?&mk^iBd)xx*q;N#trxaURWnXmW3 zJ&J#1PO}nMYkE}AFq0^iD6-j@Ee&1o0k6|A+C8!?cf(Y7|x^=_%8+<>lUtRD! zs<%qH2Rnb8uPNdYZ+c^1M0c&6Kl}I${yZ@&>OnqDZ0qza0@aD}FG}krOky7805s;a9oawBmJPW;NnT9D96Q|FyggZgWDHH zmpRVQ1c93`T~R;w;POu1&fnL7%L5FYABk-2IP;=?z=qtxeyGOX=>dKJ`iNgtzfb&D zzG04w@&VxLdJg!Qy&K2Fr`l|AoAwE~;wR@p|Fsn5=YDgHSDX*Wej7nNXgD1kjc^Yu`I3GC6`qLQ4RWj|9>{MFH=b!_K(@vuMm^gG3{(SxR zV5gV81|Sb=&358bP6as5#gB-Sd$pl{D^%HrejlubUfiSSaqcJaJTC9ieOT8njykkC zqOk7x6nYM|&*=XFMCcC8i=3Q#-}a*4h3)yUB?+$I;e+AN*3o*geY-CP??>xYuB}4r z;_tC|{*oEnkp5=s|DVY2@K;ZLXk4Y6LT@vT!u>?-_a~mKHpXjbeK*>TOC&c37k>@} zmmfTPJFY9%Cx74R#J6t1JH*mp^gsG|EKHcdBXOke zQD3rA{bsw4bs-jhJd3&$Pm|Hl_1D_zMdD;|*7O{>QqSu<&UY6)?R4VT^>^{=5rzGe z*DQ6$z1O$B$>+?37^jz=io=I@dJfJK9<6ZPju-->mys+%XB1V2mv-)#~LFNeNh4{)`G&UqeQaIE93Mc`4VH#6vW z5B09nJm_n99|JE+{}-={>{#fyNGA}F`E?cIRiju}38mLX2a?s#T-5 z9J{es>~ZYTQY$vOb6%If;QsZ#{qlKyp6B&`o$FlZI^+G3nXTKm^6Q+94P_&|dId)W zg?rWEUiEs{@~XtWdJhaA93D8J$H4Gj!Hzcx>=zN7#UuIz4hqitUcPG0n$;?KSK_1i z|Lwm#j4?G<-1g1-6uApsbe}58*wm~~dolAr_uYDJK)Z~LJLkT$McuEvb{5z0j`KQM>fJiT?H5-WS~S`d;-D&Y#CpyIuC+ zhU2_=XBvNvpZB_Uz2;N@NtqZwuN-j2>Db)6m(hOWQ~Tr)#IHx?x$4?Q-V&EwyFEnh zEdRj=j@wOx;iLE%_^VkTkzai}{+er-%pY;exxF-=_xSYu!GK4uU8{?a-KXeNX`gFn zuk!wb@9jrpTxwA-_?fYPrlb9L4?HK+XW=>9JMM+kn@*wUTsv=Z(7Nwz{G8M7Q`|gt z&wcU@F;88)?*0e-L{v+Bsyu~WLf`+|Mb~cHKcnYAnj?5_%MpyvUfcfMwaZ^)@SF@U zivHEr>lsd`ul;kywX-L~pcn5OoOE0U{)RkSwj0mu<4N?qUnIt%w)CLqpAEa!lj^blEGx9~!} zup_@;aqVJtAU&V`JGAroV^~MF=E}caJ6qNs^J;@Pqh0QNH{JQm$p!DZcD=hCt)G0B z+RxrNkebE$?J~DrJO8dW^2+_HqP}^KX)|5Bo#93E*X7wI#C!eJBFEL(GT=IN&SmgD zD&BF z858I9>~c36$Ngo*Gsh3~&BA=hEz*ywg1o31J10B64!a62TJ=D_MTNv^j;q33z*+pe zQ+WRCm%|+w|Eq_1c)PL4gX*#v`>!WH|Hf3OS8tnwi^93D`(}N&IT}IFCp9LY z^xwgGk!g`mZ)=w){-^=XOZgJoab2DAX{NUXR|O}}hMrShs=_hIkIAg9T|e@lkI1uL zTL|;WR>>AlFH0T<=bI{nb5X3F<2)k)oQc}R6MesjzG5?)uY8X&U!v6HFz2t9RG@h& zZ^7B&z@Ho!omP{6^b*XYNtqr7pXztX|2UmLJbqEA<9y06aJ%{t>BpD-&2cj@fb`q4 zQ=OEniug^3uff&P!Bn5#DI?MEu#t#IC;Wm{SI8;eTlk~M>m3- z=cTFM;wz7HdKTOQTs(O}b?ZAi#BnwH9XRXyf#NUtH`b}n|Co4KZ*Vo|-eRZMk25Gg z+h$>2WXRw~h^Kga=#5_yTJP_QjdtAD4hQEVH`QmIums0t13GtY+s)+vEF|7>72Ov3 z6w9+guXC2}3jcC<$bZ^m__N9Xq5kdq80hWfi>ULgx`~C)svp2rtx|}SjqMZVxUMk` z@r&01XMJ59IUmk+pJLTe8gGHJ(3^W-AQ+1XaqPL)RFkPp5z}J1|P9uRIt;l z1H-|^zE0HdkPCy*?^k&+UZ!^-4=gR9uj6KO81&MM`V|q2sNOC=hF+IEP5Lj_Vjp9d zu7it8ZNOFCJyYO+Dw4R*0y?kv_2}iexN(fe>ye3kvZy^#zOLUH8z`O{x6Zildh5Vw zr)NQjq31I?BA@bfV1#Q|%cq0O(NEE@NIMw^pSIbsUd+J+)VbQTGT!;f$wx6RGw&q0 zxS#&J<2qysxb2(^`C+3bU|hWP8gNy)ALaQ(80q^AqWshhh2Bnlg1m_d<4NCdD7b1r zZ6x}gI-2ywn}PE&JHj02|Lp*`#lD2U`WQFYap6atl`IIou5}^Cag$-m=OwLQ8yP$S zKACwjUYmHI#=Czcog=3*q1S7d;at!qJVrntl8f?lzX-TF_!H(!Z~vTl@K*FI!u#TU z)ED!Bs}DWF<-lj~m!aNB4b=26{S3$Ds^1=o?U$6{PB zDgQiq61a)kJI--&cMkL-a1XffoeaHgSk*Kb&{wr)2WE-yHsOZfun6SB{UTIIB^dGNTvfQH;9@&iid5pEhxEPS1Bu z0GCJp1UIi|jfcuW!u9(aum^s8d2U%@*<&(?XM{>@)MLNCs2M!zN^af0(#m-B(MnCi6NgAMY= z{tQOH;y_tC2gekYE>1i9D$Up79LR$_?;q z*B?BS-Y4zOMew%;yiq4?@l5!bn+98D=ye^Ua&d1Z9flO z?n)luxY(2m&Ss}#T;_{blxL5v6z9Y{6#sx8(|n!259Q7L^C=In9z}wueStb>-!?^^ zsKO;R{JnZnzd1G|PBt<>&O3g*3jFop28c&=)T^D3?EC5bT~!C1RnHdYd}Ovx6zA{x z;V&v57!CjC)sY9Yc{bt~cgqfUK5D~6==H-+h~I>JCpkSYG!*^HZ0oK#9sB;q8uuxO zHh^BP8wej6d#SJE#)I|~lkZ=em!(}7I3K;YC;H`~TT!}lxUyt!#g7!&t4(duzXrJLZlELfugWl}@jN*Cm^*s2@{j~pwu7SS{ zt`rR3w;=Mb6N2E+qH@kob^TVYg>l)pKO+w|E`1F6&Lqmee+$aa3H8v8w8Qnka$|}gSd0heLqx|0`%JYoR z&_7G6G0ge1B)XsIbEz1Y^6H6oA-nHKzm`p=@#ecW%jr$6!_;rWTM-mh^u}lY5a?$;gAaeV9r3f2*7+QlsU_fJ_EY`vGm8Qk-5Lt449YZ-nvcjBf(rpT3;p2|R#0SKoXd?|f{Vwp1sT z4#A(twFq`xO{D$Yr2GSJE4LZzd}N&|$g^xW8spWeCl@E)Zs)NeEcH_QK`b7%Zw=ykrgv|b91p?lr2MCy0-7nm>YvjX>Fdynpu z>~K2b6rOqJV_ZY%{Y6&@p?Y}lISX-~{s0gmfEmq_1hBIZ{g`m8zhXYONtvBHh14j;dp3H|>jLeJ~2fL>mW90C3J z+ejZlb*oxWSmd~D_JGDUx*dFUfNyxJCgR+c~Q-NrTF)a1Lr|ka39u}D-nNo99&-6+YRv?%nhz8T*CS?EjmTJ z{^hgw$d9VM9^>VW0v9`OF8mBVTeksqZan739i4O^&-7n(7fEEbDs^`4n6zp zK^xbvu9*kp$J1ra!EaKU5b8x(-&Sea(eU6r~7<~cNFLD?*;f#Uy5_pI>af1 zJlDB+Yz4Z%$+h&}WcCch`69A!pnk6hKyL=s#5!dY&w$JG&oM9TW-#W3ReK6JUat=*6=UdPrRn| zhQ7{U;5L31`TH-x`ziZ!6UEuHAvpWZAN#q!l|*sIJ-z7sRqU6s_&nPPdObB3-0c2A zJAV~X5_;3A6UDQvS^)YD?@4@PU*d%-4u;RVmBjb`a>jjU_4d=bv#}Zca zPsMmeodMu#Al=XHnO~3}GyN^Nt-cTb{K!`9^S1L1aFcsCxGCMU8~V)~g?QwPxAePB zY>pVmWvMNsuXPpuswti5zIQwooHZPc{Fo27aIW#|2dUp@8SqhE!%=VStp%6O@|?za zF4T`gzZGUsK8F^8UPgCFK)>t+^r}{We4|}y1dJ*3f{o2L~>s04WBcJHY ziX4zm&pJ7jo|h{N(UFGh#UT>EY!ALSSAxIGsLE;`e^i_97m99M-%Z~hC%Jx!l| zfqR9Djv@WlJ9NL=`~Z4eb`<&7o&qkKeZ+W02K`+DYh0W5fzMk&Z#MRW-qg)bJ|%s| zxqi*F4d62D0^$_AOgQ5IZ6~;G_>l5*%X66H`s!iQrxk#YzUe>QaenUJ#VT}9ub^;KmBd_)KOy^E!F9^>?OV+i@rru%?>!%%NL+uz`NMK;7E z&-+w$@vuKjp>A2}j^I3WCeC*;hVsMqPe47`JTtMM=u|p)#F}WVBN^tA;Cw`P0Uy~U z5$nYi561dse|v+AV#m)qo&DFN0Y2M5MLew6O5{_VA9;AUYya2|+;~=_eQ#eHt&3S5 zi6;($zt~rh##^#0IM06Tl=GEGE(NDLpEu2@-}#+z-s!n3CcAdk?Qi1MuYmKsLz9RP zrFfzO!PWa(BOEuOG0>|Ez0bMt^3?;}6Z8{02SvHAI4{)5FHt{i?_Bt(J-v`OVcy|B zqmE>fPk|qym)UyJ{xEnoINQ^ieAYdRLp**1!F9q)a8|SWIKZ$Iod0kDN+%JK)3u z=&w?oqFXcMfvrA7^L~&1p33y5_Y~2&_d@4mW+YNRGuy#OmmNs!C4=rK>f#;v=#UQ^ zoWJz$N%4<;P5IA!__Om-%XSfO7*BQh=23{_{Cpqe!K~j$@sxTH?|e+nS=6s$(92;m z!Rh6Xv>sLdx|f|!ebaIy^gAM;S0~G$UsGjTwBsU;&NVjv)B8)ilw{|_tM5g>Vs8xX z1JUsd;TJ>qD}AC0_BZzQa*E?RZxz}HnlC^eY}}Wt9XA~^Xdd?_VZHO~)0R5U=RF2z z{~o3DrShU>@IO<4cnJN!ye{8JIW8vA-(8p=+F@KWA`$f_AMD4tOvX-{$G96kQ?vAT z_(S-}8((3(B6lL)A1;0kZYq@`9^y03`I`#=QGV*wC0_0T^;?|I9aa4U;x~T({^#ZDvtx}qQITsGVeAJP4ib-wIyD)MZ9XpDY!(~jVLM#Uu8u7->TXE$?!>n6X# zM;)W{QH~LaN1dHN3iA(0${d#wyeeByb^viRCKEI zsYCTI1Fst=al*?i0-k4Ccx86&k?_Em^#MkRfA9W^RhFsFUg{I zx{F^Hr}q(6c_IAm`i*!`WGR)9ADulH>Rhky@Q3q}*XTWh4ShiCsG{c>=cC@tr}3uc z$2!#^H<2GvY!$ePX+`Tdejm;?QH1XE^3*(V**Xb&)r9IzMEno=v0cLYB2Lfal>a-M z(XaOIBOT|>t`U!12F^-+=;pXs^e?#bp}$u#o7#7FoMo0k-qed+(3{)I^?jXBeY#Kb z!M+$TyB~*hL3W|Pk7BnnP|xDr^%&=4Z?%BG&3=aJq(Y+*_)Pu{Tz0+)&c8U1x>Y&p zy;V0@LUGnh>4H3fe`*PQ zc%R1A;s51SaAuB!s~3-H-zZM+r#z}F#W_CgH`lNEZXU(o^aSm zWuE5#-T9lV^@#TyPI*f%G0t(-BLv(|or!tT4;GGvz7g#Ya_0lYW0C?EfiGPGy{R*a z>gV7@x<8Eg2J6Locg8&GiU}*7UT14T{q`M7`#`xF_`QP92}k_=;uEY#aj8^nYL;F+ zoCYrZR?&WvxID>mQ=Hb3^*BcPEbb8p-am@+u&)I;ODnj*aXxY&xGF+_$0G7C=-`{h z)z|bMr(@q?-xEL7Z0fkppOfO;e;Hi)uj}Es{-r+gvDZmoto=~OWwyS=JLN%r+E+(n z9XHRXgR>O+e=c4iJ<)N#+za_pGa6&OI%x#<6IGt(%YL>W>q|YVi+xYlZbUxG*`Sy8 zBF4kN2Lso23X{+KlA{sNJG!^nNu=kE)*wzELH9ASlzcyfZ zKgaF$VlQLJ8Sa&9H5V-Q8zXxER zt7%?(vFW=Fd9f+DXx$jxP725U#Iy>cey{#Wd4B$Jq#KusZw@ZohJu?pwSyezH|U;ek4**_ z9f#08uxU%=-v%wkysLg2r#ihn90V@gM1u2rYMSH!|KI2CD`=gGtm-p%18JuIb)64P;$Y)<8#G?j0ZRm97%akMTllL2pcx>>iQBKca z=RFKAE~8(5XfDQO{@n7nABOKUL2wScM`XL z!adVm$#ckYJ#h{C71MlhUZ{;54mfW6mH;i|{vVk`=>7lz literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/23.npy b/MP_Data/pose1/15/23.npy new file mode 100644 index 0000000000000000000000000000000000000000..ed0780ef6d532a52a0056c0daaab05bdcd946e80 GIT binary patch literal 13424 zcmeI2_kYh<^v5r)6>4j1l&eOlQ88=g60>T>7URa=Bq50ru1Lg)n2Ab+YZgVV)|PA3 zjJ*jiF{(!GO}@FWlfU5m>-X!I&*SsFulMVod+xd8{fT+4JGN@uH4_VF<2?KJ3+fZ- zS%-Vp>;IEyMef;uMBu1E|KYtx1orLccvJtOLH*Ks&_Mr@{nEde^Qu|1YQ^#uc^LoS z{_|jr@mO)kJN;AaetX${%3{xMCb{n^Y5%$JtmnY(E@x9{y>#ki-qjr-}=&s}H zR1Dh9!z8rZ$SeSaqjtUT=mYm0 z`#KnT3qBT)QgM3jLVe`$xNWk&~V`1v);)^HWov;In?6{jQxqEd9`Z zmvMP9E73Q_-w8sFI>C!n@Z2uZjJu! z>1VH;PIH<+xqT({W_0e;j+<2}m`59*56`Q^iS+!<-!Tq8btIl=C2w4E{(QTN#^8CI;Q57c-+vl@-L;!V zWv=1*>rr@K52%WEG3GYb5wBJDuxpnM$6#LV{v@-OZc$Rsh6C;-O*=` z)60E5F%DIC74c~&M!0tU^&P5<0u_-LnKfj()2l)^z4l8dq94^1#L|!?@%K;`-|(a9+CYZ1_~D1HC$OiRSC>6zaF7H}S27vF>&G zWmDl_%7?~Vy9c=KvI=^+rzyBtxCxv^=SG}rKyz^8m*b|3Q$*9a_|+!FpU(!D`%8{- z{xYT<`802cdC>#&Yw%MqC=X3rf}3!)z;U~%J?ct%OhSHih&R=BeFnW;TLAMYdp~aB z^m@#3TECH%!9|Xq?Hy(W^T#vzyv*0o0|MlPCY~Y-Mj$7Fg+%98OC#5PQ ze!i=EoZ>ltm5D{@X<8zDWAxv%_XY;_`_jIPT%A``eo78Q9pY7xOtAte%UdPcGv}Q zHnt4vO{MIBUhx^=(sLcS?l^~h2HYopvEDTJ^tu8ry*`jn?E7fP#fL4#@0Fl>J6bss z{9a4)x%Cp9KR+_&hLwSGLs2<*3Q!p zeCu8EKc{Iw@k&MgtH0>}V1Bzmb$+%|gwvZ#RpGXlNFt1UVEIRepdy8iwnNsDoY>ozcZ4265{(gy?iqkoJDj2w}dU7UVfp;x1Bo^#*r&U}-cUi3^R{nL)f zr)cpA7ddS{)%jOz=ECP{GR7t3X>fk~{4DUL%fVId zY{-u~7D?lJydGTo4WYUU9SpsU8wt*K41%8j^KOXqk=v&b4-O`uIt#|b|HK61ADe;e z=_bH&yKXo6$K-;)^^A;noQ>WEt_$QN{|48>;a}nwxXAgD#x-GBl;gT;E{vD0{RiB9 zq;p3WVZ`&V#<^eyMvZfNu`?UE@%o1N!y%Y2mDhvvrgorT>o*tY4zH9GTzu?9@t6Gu zdJ#tbik3fsi}y#7H(T{D#L2e$Q2fu2VjfwEKfvt_KXCRq8`d4Gw1V_(I=J*XABjAa zi3jIL_kpXyiIW|-hkZ$Z<_C;dJz4<0ZQBv`pmLT$K4od~hj+T3RVhn(*d)Q#lV&*Y z#H0lBuiO&;#%tyn=g;@dCEhI~&J&|BkM@UDa1pLDd&4&s?M6|H}xxme4%Ig{)lm$XRi%C|8_I_)ygXhynAkn)1wO3yA1db^=5qrpkMo48JvSU zb5H4=?xPRfK>T9(m&k)jY##w$usM9>_6>Ai5Bt>Jal54eeAv4t;H+cdaL3KRW1v@J zDg61G>{KUX=7ZbvyD6Xl{vMx{u9tr=M!&3e6#8Y|C(d?0B41wk^P+*^VppL+$Mqda z@sCfS`MP!%`#JMX23OJD$mh~}>~HMPLX?NB?-7sm_vz>QRfXt0wKW%ki_%`h9T#DS z;xE1z<1$yi!9JtUY^VGbxrg}W-j*|6Jp8Ad;Knv3y-%qzj>~$vX`MzkLA~+H1vLEA z`odrA*@`&rg3pwnD^(~DUOtG&4vbv~pJ8LCs5A?=!1kLZV z;zQBCliu@q#J`ANW^1F#g;p6mgOY0SEu1`?^Hpa<@~}pALZJsh{yELf_9eN zG1&R@XBqbsZ-a5MZI!St)V05<-{k2u-on4fLI2?xe7OGt>;t?(TBPgO3}}r!*gBt~ z*Y&rKa(Y?lC46-1PMY5-r3!;r`;L4zF97GCDs^$(hSvhO8|c0*Zj>G5IR9on;ud?W zkk9^JxK|60{Lst!S;0lXYXSWQx}Qj!iu(i0QnG!Li*xg4%JYu9;BsVA7sqX#jNg~; z<|O~``uaGochEj2`!@jRLp!y1{%S@|%H!^c=Aq4&`|8D4Ivx$8iHwix= zKe}O2%!?>i8s`FwqxTMzX(PA}9D?^jbw82D^|1!(O27Sc9^z?F@44K&CHZ`{96t7+ ze@LJ0EaFkIALu?)J&ERVXbqZ|JZ+;9XDiyT#GxRX-%ed8Ij-Jh)Jc^y;O2Stey(4U zISYKu_-HyWT6bRQ^xUsH`nB^LQ{HBU_&aXnSA&aQ2T|vG{Y%6td$glE$$FUL$$YIp z{G&4V^Gy%IW#FA~_!Nsqo_V~&c+FO`%yE|I2K?Fm8mNDs|3#$pkv^9xo`(M5)&x=> zwx0p#uU61{FFF``X2s}!Xdb==7b#Prmrv+EqrRDh@$zHu#yfviKjWSd(17}#A07rC z6;9)QRS%r?el)>x+luxLyRH)XFW-cHz}hO%n>9yppW#z`j)TwfACYIBJqY9Fu``0a z(|trZ)q{9c3i(t69z{VPO!rcCFB8=#8;)~IRQUz|_EBM)mp*@@ZcRD5|CnFDr}#&= z8tZ)I73x>z%uIawWIA_3>7LAvzM;B0-3Ipu>lX)qSw1)BOO#nO)cI&h_eoRXJmTbk zKV9TFD@X4y@@zkFDRR(0*(HtgFugkQ!FR#cFEhc_m&dXHo6?2mIv-x84eH1I6@q@% zjMj+X9&7=w{0mb&ZTE#bz54YjeDs5|#6QG^fZxbP{&VY6J^R0E;+?M7%e=rv;gwi- zY~l;d3(G?J6oU>>J$w<{-udX88!=zvubt4#6#?)!TeFjYkfeEBw3OyIcn0a$T>_Um zPy0F_=64%wZ@uz(c zAGV?1Fvq#RM*Vi1iuqNO`qKHb_yN|J+S?R$Xz$#f2cJ^YpjXdULoW-I9p|_zwG(<- zD;auLaMV)AZgeg{w`lfZT1snFYbUA6OP0ZqZ#u{o$ue!0jH^qcww@yL!{!PU2=P!BA2 zDdoZ651jQaLG#;)ejnxk(%(P$v_Ra$*`>-fuII_n+uz#wIe!)80j>hBV13!W{U>>+ zbCcGI^7(cnjdxR*Wsa-Tf_%ztMxBeP8%8=V7lnbd>9k(d?m;ab=eg+Imp|==in>r)=Ss10s9Md180x&6WUw)eCToC&V)eC#oSICb?+w7y#B z$9t10ME5swnBJRgognPndgo^HS?x>uI;9rC=ZEvu?}ulY7d^Q<&CB1$>g0In7-1Xr12XdQif2=6=cD+AV=k2YSynzxE{lsy^b; zFX_I@@`Yl&`f<$x-Y(Cf^u8m!77_1$y}9#|jc3E3m-&nMe|PX6q=t3Eyoic@z}4A9 z1D%hl_Y?6v0-W7{-_LPgzb5t{9(N1*SN+Z{bpEPDi@UB}UbLtm6D(ukbEqx!=C^W) zpKWYL`(e~g=tal2c#mUyU#x~cYA@+K#-m?z@8>a&vy;!jg^mTc@%zKTdwdTcb4^kF z<2O!rT(s#9&axFDzO4)Hdt&2U_}D=i_pYFkp-wNWye9v#B@n;l9|IjX*$uetSq+?* zUX1rL9pVXp+v7r5m_k@DzX*n%U6$dKI)5T=;aNXFMj_8_8&1m6Z!mJ0Q;E9 zei-|h3F<=nYCGVg&PLMx_J00*h_}#3a4A}>MV#xBpx1fmK5z2|C4isIM*h2gp#5j$ z@VZIq@z~fvjEn!C3Hz8j6^Hs4qleIVYp(@oK3`FNc3KZ^H5vP4sm-gXq`Ggvm4lbw%f zHHXIa-5_vNBim^AoXt`VKDz#5TLiRY=*9sXTI5f6L*4(r{Pt`Uwn zFaHI-8JL28O{6c~OFJilvr6NTANEY*TvLM&f%CV|;iJOs_@wl4$rlz})XaVszQZ11 z-;k$gQJx(MfZK#9;pt z79h@7^ml7^XbtpyT{D~u=D#V>i-TLh_400$oL=?o4Q|RD0Jo}Pl;d^;>2(LLnv@h`Z!+A_p(6LB1zPs~gGmK{45`q0bZqPzf?+bdH1 zPhOGFwkWI@X?}x0Px+qK(b_+;-kC@Ft={SWJSd|+f6TZy_Q}&8{_h9Q?vpsj_5C!8 zXLl{=b*rA(ALNjA;PzQpa2xwzj_Zdt9RaRl)`0W5H6k4s?Q)S%E8;RCJ{0=Q`_ZpS z9z#AQ^57oAy3e5eyzmB3|G!u5;4``m>G^URujjwm&&_vPQMb0uOw@zDx_7bDb479L z*yhNCoOP1sy--6M@4c$1LlNI`Ns`kqj0Kme9jM;2_+q_?^##a(%zgOqqpvn2o_4fv z@V;*mk603ldx)7t>r|eegM6~8p9eU9)^8x?;q?LXDfDnI;>;U|ew9k2_&c_r@ANv5 z)}tNQ0CB1}^|v^^N(>_X`O@f@Wl5amxH(7X8u$7GK4Q+C1n0xY??b<)aRlm?b?>{x z>Dj)$;I>9p>~At|?@Gsc^B*x@mWTch%L;z}9sW69L9ai@(>{4;^a|+DJRv@t{>~^; z7q4<$=F1DtBk1q)Z2f_W@Hs*MUqxhVk8#$ z7r=PUk~wsL7*&M&om(7SekCHEzkNXG3)@nc^qpbQ6!6ij=zL@! z=)FUCO$u{*5l-ulpRSHLSuYRdhs7%NYX?-OaeYVgtLvVGzZv{3>PI*CUgUgK_JuUA zIctfxxjqi@sEqX$F$&zC$}|T37JUl6%HE6W@Y<{K&}XK7RTdsXyz5EqhwOPB^eeZ| z0B7SKM>)NGz)&Z=TOjs5KB(+Q@G3Q-w}GFj-{{`h$Bfre^vkwYrgNuOu}MkkJ}fuY zzX`gA{F@CSv%!l}J&R=pp=a0qaW3!@QSj%Uy->HJ$sfo+Kc4ab^G0Vy{%vFWJ)FO$ z^{8jB1Q#8C_H=QwZyv#it@w%d^R!v(5dS{9SE$@C5x+cRF)w@&-Ot6~x!9M?+U+rj zQ)DHd`b*$1S2o0ZqCHg+`7!Ns(E82S2we}HwQ>vx+7pS6o=-oK`EoL&2j z{Mc=4!TD4A{{|+)(mi?UR?>G#MEs)ncG4$i)Z5qJQhq8|9qRnm<&%{Esaw%6`#nH9 z&fneumrqs@FO}BaaodE}3!gp>-0bYr6+XVjFkTyz6;4Kl)N;ObFl+!OfvK*Z0cJ*E4@^)DmbxY*&D#Q7T9&o3_g75w}f za9bpq_L-U=vCk;~G2pVr&y?rj&xz3Y96@|b2h@*hcB`|Chi~2sZnD0^z9*|y{Mm6G znuX$AeFa<}h>?!7H3D3hzX7hYtqKMoGMMsUa=_p4hY^mORWYRZp!AOmS6|kh;JD32 z{;+D}dj5v!EG){0_rqKDQFIJ{HtTO`dU+SxjzelVuNj@Hp;BT`xhd(df7+mHbjQfeI z-v^w{u7&aHTP4F>9_-$q!NuW0;CArxK92LEbkCHzr<4Bd6Z}3S6R4i`=M_{}1$Rcn z$EOeGMOF$0w_edR9smD-|3@>>hE`il#j=eT+1a~9v%)dUwlpJ+d<=X=I+k%RsplPJ3q`<@*$=d|PO`QzK} z)A+=+OG^J#9>1S--))Z%x6nR#Ql#VJVY3tNyP4IW`1JQ!zoM~Mvg2yl9h^J7R}9vv zICmXBx%6MWccKk7Fo(=71o(TAOn@})d5um7;#O}T7`95;^} zA|6(3Bkd=lV=yjp=`;M*{+?0J$DAFHcuXq&j-_*pSolZkzv1IS?-MHf#CXTmxS9tX O*K4BSql-;RO!^;j?8P1c literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/24.npy b/MP_Data/pose1/15/24.npy new file mode 100644 index 0000000000000000000000000000000000000000..fad0c9a791a0d4596b9a50472ca782760b9a85c5 GIT binary patch literal 13424 zcmeI2_kYh<^vADNwJJtiv#!-xrDj!;YX%J&cB$MLA!v{UA;KkQNQ@Y{lFZllY{pOd?YLEd)|}x+;ir$ z(a57p?{E<9^WG!B`rw`$uAL{;KtE=|#7OsD7NzH9X0J!?yRLlsvHKLK2mO}fK7GG> z;J&M<&6M}}Khdt6UcKPjO1OsBX1EWPO3<@cc$&sUgw-hGO4{n0VNsMf1JN5x)tNsg+kW5=f$sOM}wywz&PZB6ttVeoi{oz zo0L{)FVT~pZ|3_B-z)aml#<=99w*gw-+BG3l!qN-(azHT*zLGJbh0A!nZ9^l9bS-I zIKDRnbs`_Mxz{}VJNrHY(JDhxfJ^5pFywQ_`=7`E4tcoeWDn+$Tb1$(sVlje_KBTKC<;xtatlW!d&}K_c`>ZXuS&Wrz)GVHS&ZwE;4<=<@gWbZzA$^aGb6G z1YFOEq;Yldi1y0Hd{7kPVcUCQowJwU`a8Xz-V%DVf$C7sOdI9&IRS|K@I*rG`$7>qmm;HNP^m6^# zeDmF>TrmRvYAWe<^V-O>sr51S8=nFnUSm@$`0OrA`VPZs{g(0S}r#eP}583`*+n^t?wTxVX@nxbLXp zj;qAH7_ag$$b-Im73;`c427QEpni3|m8dJ*=N{?noP(Zk*@b;f=DPxJ26qCtTh7dM z{x&p>_{mi`uT8bBh=+L`qjm9jUg*_d9%H>+JY9c;UXQ+g!F`uQr%rS}Y{2i(tJl4e zPm}9JxNEolW>DU~c}ek1dp6f`v-v&ZSAhvs=jWEAPGp6gybU=G&faaB?fm5@Ni^OT zd66G>p*xMM$R=o?dEnkFa4x7+fpd-Rp#4PGE(|Uob;NwhBl+PYrf)^Rx@H8Ok9$7^XFGaP z{Hq_pU;LBP@8wG1a=50v&DlwLnA{9p4NJm2>SaHIn}>AX@wi(tE`IZp@-Gfff}TIy zI|X^DoJjhw_JNz&80h(aUvTwvb(+V1;n16M{-_6DwmS03cTC;t<@~!>qHzUEaQjmq zoOk9R`P*e}DE`u|u--+zIn?jGuEYaB$2=PK7r4#b0Uvp8;anFdD?9~UdvBw8%$zaR zaT)d}xJXC<*Y&nQFCxp4e&7_^m!1wC?eyZ|G1R}v{W0xtXM-c)|E4$je3}bBs!1En zix_Eg7%U#9sw{~_|A3oV-LxbEMI{3mUp`#|GKy}@4=fsbnG1Fk2n3Uyrd9SOav zqTz35e}Ou&EodHD@&V*ieR5<;iqoH7O#N1!g?`nuU2~j|?Nf;S*Nvojs>}#;oOS6< z{O)pakv`fBJ{OOI+pWEb?~Ls0xb!JT@mGJ1c+{+p0~|NWZNd56rQo(iSg7M{=6-OK zbb!YD<6z`jjoF1b)yaDl|H+eaUfFV8gz{z&Qy$c%USk|rKHvJ3X@|<>6_2#G`}%_!0gOa`v}MUsIgFyvKRL1G*wk(c>fX-<~|)#cy8J zp*);hhWJ^}sIkt+4$oN^sofF3?%5#G=~cII^sE2fh4&tIvG^9Jm*u_SuL}%=k4Z@# z;<)zOPI()1AMxu$!&W#SGeM$X*=8^5R{Z)R!RgI5dM^+y>RWsd{C%bSwCMxUuSqS1 z`1K|K)sE|H`Qal@KBe`3wCz&IMKtN<+`=?3QNGI@SG(zc!k#3mYuSnLzoJXDFW|{%Gg?P1{4@ zyxTc&kyg6C^HKFj!{07Vp!l~oi*#JxrTZtJR3CXZhX>$%6seb?XW@C!zi2#owDVVc zXkU^ar(j%a$#kp>R-F1(cV|#OUzS+p^nA@>`0#Rzu@CSviBl2J@J`5soc9KL_UXov zPOnR5Ab$CFKgIv`?;ehe9;M);iY9{F+{3y%ZnoE>ICo40*YST1g8ukA#LY^41Uzxd$$H?C9yZ2pLa#p6LM} z)&E>;=*!VQW@1{A|Ev!?!++?Ph{x_cO#U6)uLti>_a70TLU9&Z($8^I(G&UM-OFHJ z)T5d>7t9Z1DG!&ofb$DoaL%gV7lWIOhNvs~?zaRN5C4nqx3+Ny=xx>-`0(SmpqDSt zARZ>V<6f!?9iVZoXh8G3?fxtmkJwQhdYc$V^R@5RM8{=1)rmcJ8l0Ct-p}=`7UqJF zXgCY&j_qB!*6CH>I`GlUT2p?;d>Z69f3zB$wK#-2m-RoL=X_Wpf8@cuJVgG3=L~S% zvPkHK&wX(Hr;35U=XB&*Zi&HoW&Ss-9JdiyNngAU>fgj3o#K4tK{|icj-KG+t4_F| z*coS_x2=~EukJ_pnFe$}6oDDwyv!)*O|{+7s}IItyu8Vlan7Hunhnlkn?SD`R*rUD z7gfZkeog$wwDFGH^R%z3)iuD`uL0Nx^s_I>|LddIy|Q&;SLRr!SO3uah?yNh^>C&~ zgljkZ=-#5%R6;%luZlQ%;1Kwjce#*%^)90od@6dAf044pH*O1XK5`)Wh}EAV9=Yb) z7^i3dQomwFZgA7?vv{XxtyaLt=6Qj-vPT!uy>7*Pa9*hp%@;q3`>@?a_e}QUJmNHU zJ(oLw)8;tzI;=m%|9Rtuj?38BC zKM}u(Z-=_F?@NMrtEf4O)YB zr?wo3a(a6{=e;;z3hF^$THp_!v!AH4`=MvgE5lz`%?BTKGZ6D=y7ecY+0(F&Y}GVy z^)$)P`S1!iso!`-@#hbRkMbN$K0$TqJl*;&?(ITcgb$mx2l2?(EuvifX8h;S>){pQ z!Vf@3;t`0=?|Ff$C&v$#IUWPJ3uQ zo;wA-JhCkb{@w0CZ_+x0+gF!Hq&WYHlMs(w{1xVrbzg+|?c#OB<6hIaYV&1I&r8IB zoA~<3ry2KXKKQ16#8an3&#w&8j+-9^xP6j<`ZUkpqYm|oe`vgm`+zH-b*Km3b}2aT z*%w^K$I-kL%=x`y=U8yo>1YJ{O|J&M^|%Ob8{F*Wxcnd=jo045`VyIQCVFLaT{-~y zvE%n(yf$jeD#yil-#{-;?WX!~|86++rz64Hf2maezN>s3XFcfr)pPcPOID*(N;X!f z=)NtBjVB)e8k`4wO?ilG3~om^Ywh$lKIc8+_AA6`+Z7Uyi&{+)r`}0%nlt`eUBA2r z-QQ#{dT(OKN8^0ao?GD0Ui)KQyr?(UsW?jesyzA>^TLjVVqUC%1ikFvfadYzUzWRm zS)LsIdwTyBRpx^0%mt(`7Dwyo+%bCJ+4z$B{m%Z zxGd%kF2;Whe|EVp_8*q;7xJ$UeYgZZ<-Kpa{>`&A)Q_&=iG5Xn&=GoD-IK=qSYki4 zJ#IkHHn+Rzp3{9EY;d1q`hMtz$9(i_v(864&RS-Gt0VEm$F+=h+?M6=;j_np^JAl8 z9GBmHNB;iB!DU8^IgXolv*E*cMS+VM1>vvjJ_BbH$|8Opu@rJlE^cdI_rV z1AI1Cfxq~pGPua|1>#Y2+fqCayuoem81xc2ei1pn`Ug8QhnNo-?ba+<$Rv{Kraj5 zK>VUmmn5gxy>iaSGp)c?`yQ*{KWQF(M8MWR-SfO@GVaeJJdWaAxE*zCYW)`spTr&D z;`luB(Z}$9YJ9eVbAK;zb|o77xf;F*{yOF!_6OVG4eCuL)89K-@evUhaeQu0NTc zNb5Q{p7LxcG$r9w*a-un${%9b9+23Llxd4(GKFxeTtVCWEuZ3%X&v8^@A;=Ia7BK|=XkNRf|abGdfakV;-{Ozyc`hNLo;CplQfg!l3>AT;; z$E;MOzkLPk+BW?N^Q+57ftzs?X}v%GG}igZ$6?^IU|n$Y{yX@yU#Sk&!`Bqg^A=N_ zp3S2DL#~?YM1moZ=ajpZYDAFc$i@so-{1BXE(_2Jy?? zIp;#wB&-)Z>JmTaau_~*?O}?uf1}RuZ+RA6Y(D`m@`Utp zoVD!(E`ugv-bL}(wEz6Q2AoB-qI#GxeuC5Uw*ATfT5oWDyddh$=K7s{R=>sm#>yY8 z>EclV<*1$?_#sZV`zxI9?C#Id>v=J>?(EOBpZrbd4hxCGI^tEXq5j3mW>o(kaTlB~ zk1IXNeTu@K;QG5mSQmP7;5Uw&UQgg}n``9LrozE7QRB)h6J~uY@oBUvlEFR#G1RYlU;%)X9gs)oo)?5B!&tE6{J1Wb~`r zd!^#}GMneSPxDPP_^{}Ds5e`G+{%<}u0EPa{%fhO^um2uFT7<5_>1xM|4;gTuAT51 zL3OU4K0`db32)(ibX{7f`g$Dl$*XrB$TZ(_~*!fPc z{-*V4+EJXmcz5cz;BdrgLMu=n(t>gBh%>aG==z)Cqe~uM>U>PYL+IBu9D}-*UV5eL zmtQax&#cd}zX^4Jt>f%@ZH!mmnhzhD`00<1%Vt^Rb3LBc`_GHkIIizJ0@wWxqyEk3 zOV@!16$2MP_QXBV)@`U9x33!_e%mI1^50?2!W8F!h|UpS?q~EX^7p{+uUPy&_{j7E zG~NZXaev_TOM$bJpMr}&-%W=9cRADMe8`euv3+5Xz#=H!C$j*BwUq))9z;~F`L`Ym}1{$~G2s2|<3>N2NiHy1#!g4TfB zu05h0xBF7S^_d??zvz3cJHGl6xJl~{uDW#`=k)SYS<2_~e&F(}NbH9yqcOPpWHLA# zl{C%i)yE8Vq7H`8yw9t#4gG%B0D8VL3wkrF68140aRmJ`kD54l)ZH&9reyo*>rME#C|w~;*9Bvx>XC)7rB1LBwujTGB@Ra&v)4O#0=VJ z)cYiG7UtW~>DgAQTXnG})&=|MH`F=nm~)N?Jf{47Idp>4^C5IU7ap@|U;5Mo@#uT` z(XUv&6#jDSPk2vMM{7}j;@+XIWNc8f^Re}E#=D))arNrk2`SlJG+##Z*qY99G4&Pl zW1DUO=MQrJ9^L6K&NbF{2hC&ad9<#7Iz;;Nzk!Q;MUWrUxA0KsZ%&;gzMSqqGEWbQ zey`9yQ*>O3b)jCo?(MiPN9%=sIT>8P7d;*4>&sxg`VPHk@q?pUcx7{|kAchRMp)Of z&m5c!d}K@XE2ICV`cKSF=khggaI=&C|HsbT9_)PhwgIFcNWZr+r>CQC)p43f@x?O4 zV_S{ujyU;c>i7I^)CvDNb*b~w4|4vFypG=A*`CT#&~HnJzlxfR{IFWBS~dT4-k*6zB$b4*#UarS1V4@zI5{DK=_#Q@K;@y!$)})uj{z! zI1`-pIRdV0+`ztJu2P-wz1`dD65Kp)NBZd6D;yVbL%>CvAMJbPi*)sJ;~GxC&oP@bvG2*O zbkvVbrvF2>>LNG~J@>uSn`X@szr1$|Tzrr^(sAK8i1IchH|;aG=1g{+7m1_s?z#ak zrXE@VpV^+s4-09E@$xN-_LCA}9<4@H!@j4Vv;enDUeoy!)@7>mktg3_TKANxIM`>R6_=B4Y zMXAoGPg$1Y;*7~TFTOZW{ws$rb=*#)`>o2T3B3r3n+CoAxA5V&Io0P+A>{Afns_mK zPvN~L;eNv7={-@V*28$!fqmoLxI_~DpQnf&04|!G@9Q|XP2r=;(*GZ_d3K=dmu;hZ zHjS3kyl)>n3qI9?Xug__pm`5(73cW>|NP&~fKAJ~;O1WyEJXW3sXN~IfACd_crP`g z)h*Y~ufG|Q;!>1Q9h{FjaMN*9FGV?SlkcB*-(|N`*#GUa!gO!xloy;gZVs*^dM|K# z^RCx9r&qTtfXg_~@$NfY`SLXQ?p(BQZ+S5q`VXs~1uwRq_UCFF=Q*xh<|dz=>ENn$ znI+&^anNhe1nT#e=;5BX1$<7y=gedBXHip}-rl^2eudo%uFo#T{=jSa!-wDTrgQ39 zF#KiJ)HBY97paOosF^Z=BI%ijeBsebC-G;whPk%?YO{&s*&+JbAb2aql z{(9tx4XOZtz3(ddPd2!(@^3$;I1lv0xLCe6i=Dp;PKRDL&iVW1G5Wt6=Dm~rN7RH~ KEnK@G<$nNqlJltm literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/25.npy b/MP_Data/pose1/15/25.npy new file mode 100644 index 0000000000000000000000000000000000000000..20d3f8a312daa5485b94c6a463bfdc9e581dd9b1 GIT binary patch literal 13424 zcmeI2_kYe;*vF5(wYAkcsJ)A*)tnl!_lkY&S%ON)@--tuiC7`(*ix%jRiy4yqk^LL z=G3g3RW)ioxjt9^g6G%g@yq?X-{03GMdF1?TCzuu0dc-A(3p@l)PA&~;tS z?R$5lU50YIJu(dKZr@&R|D4-(B)99egKpvZ3%Aj3{a#%qe=nZf-JwS}soiWTb%8#` z`)6o3-=#hO^F*}kB7MgNevaBj^haDT|GS)j z#4N=38v8$`cKz29JZ~rM|C63`#kQjVDq+YbYPUJA2NSpDcOb57>f`o_wYPvjDCNT0yc_7x0%k>Z1-N>Q+ zNpCvWyG`wSR$a^s6;k;cd@B7EN6(vz<#;}iet4OIj$A^OfR$=K2iC=O?)WUr7%AD>!(k6-o#JAdiNeoj3vFO z)eZd+zpMur`PA3`saWp24!xJB%z1oY7(I*huFpm04LW1}sF~g75I1MGvVV!!r=Y*~ zU?OpETLa`{*F~ZZrqN0C%dBN?1|)&IK_T;?Z(fh}t_6sw<7X) zJ9xaj>J2e2c3usGJmoX=*K}_Nu3zq241PBN^GY*W#Pr^j&Iv4>fIvK_ct+J^ax3>^1R{f?v; z)AO?b_7LRhOh6dLRRzM4k1~CDU3N|GN_v@3LGSKOg^!C08c%xplIv!E?ExRN(QhSj zQ9p(2Ij}U>XJnmd=tpop<;C-u|9Z~NNbc`D=BXIdrgL`W-U|ox?k5LD^a|w^vx^!*f z@7Do(RW%RRy9-@~I(TD)!1cY1n4hB6_65klCf^%uwe9dXOV-XO?u~7YaS?Y|uVe0M z@Q_=aXJP{U&6O;?U%d%~UY0$Nc`m|EO(VVaRRGu5iy=>aSBHXMn1cLe!5(M*Q+4Kf zQXGA1|1sR(bVZ@}hU7t=^^3fmf6*l7c{>Nd=V4LSPx^-I{Ho9Z;w~i-{$^+waCL3= z_vA13Ca_P=cBq3~*&~+p=HuVMP2JJp`eG!w7}p=%_8!AN*_sSR+)<(6;>$pAce~

    TBXkaQ&rUd-$8JS23^T+&@|W{W0iW+iTdz#21&qy?_?%Q}1aE z{ObiV|J2~T_Ue2;khp$$5dC#~(nD{@+@0W0ao>Coz4rZahQ7;Mag(9%zMt!VvIpv^ zs?{A!?WQ>2KUBS!9JkZlSmN$TI;?TmAI(%2e_BxHS$-huSOAcwsD z*Ni`KF4&#|+&i@n=Yl+RG7LTqct4SG1;DlcZj6_mnjLy$f8zY#-N*hQr{&;!{?H#> zj2sNTTg`D@LV0jIyb$j*k9KkX&l<7M;D9L<*IeJiJRhHTcIgbPJCSJ(_v>;r>)Z66 zL3(>F9^Cx<3%H(B8G6$$ZQuB;BKNm?1L)n7=9nioxeDrOi&Wq0pXwtDmqGq|P%m(C zEEwmV%(V>uBDy8#Uu$nD^6W4l+~rO?msfAVINCU_zaH@eeB7(#SklXCJnpK*RvyQ4 zFOZKn>;mWiavtYX{tWaksR;X@or--)uj@F0d_>L^%zx7(ANDu<`~dE4_Hb|L?Sc>B zF2Z75OzoTKuXnFE){EJ7IvoAYT^c^(j~3XkRKjab{@&Jp;NIv!tQYg$I*f};(s`3y-7dvxm2bcx;ErvCjZL%zCFP8qV$7^+ZrDuACd1B@)48X4F*5ml=I9U4{jqP zM-$iilexcg5Beo1cjGz_{{ea0eth4S7lzLEPt~iGbKow2E9k|KD?*5ylDRO?#lo*J z-`vYuhWynF4S#oG8}jsmhF~4(9;M-K^0B+RaGtGl z!QVtLoJ3q_tAaYXi}9RKyGIkq$L->Eq2G4q`Y#x;1U>~vAg)SI;`gHByEl_wZ)?c@ zUyOi{UFV1Kl{I&O%XfE?zq~*HJMuBr`yj5l=Hva%uVWnf*gIXobzy$LbmQ}{ATGM~ zLtNt(MgBVB#VYV}8KD<}udxrvSF@KAmznxQZ~xATeDvef%ZR%dqq#n}wmAB(bC2#1 z{ko4)f3HU$_}i>ivCo)CwV?N2H$WZKkglFD^*M8JF6Z-Kd!7%M*Ul#&Q)xcullM2o zRhx47BhId0n4dn*e9Y%xk&nDJ0sdlMJo48;mnISyg^s}Ad+Nt^ezh6%+|<7ey{VU( zmDvFJL~rUl-E5FL|Famm|Q<3XqtEsm!M%d_z-@&hy@`vB z;oz!EZuod*gR$PdPc^vwAD5VYJ#jsT?>}N*GW#^o*bn@t z3aF1*S^(oBA2*Aoxb9gP=U-zrD)q!rOTwhVt<;=HdFE7|-K%=x>j>EqI0b)KlQPP{F|z z*A#z?{)%i1_`E3Rzn1jsT@~m>0N2NM=%tApAD{2)Gt2u-Y?=Awqt16k9d!0z;cuGU zfWMm+0v|8v5x5tbIE8%V`N@c@rp@H}d_7?m`1@;|=ha#~|2K7;LH@Qezwe7B8rauH5pJh5&I+bHp67}*Q=fqLH=HDK3`Oeh8*|k zzDVM-)fDJW)dt`)pcvM>c+B@kTc!&8SC0nQbE`q`bv%OmjEg)TPCg=Y#hd=AAF56W z`fJBt9z);V-6hb=nI%w9_xf}6OOF{2t`5KBd06RwWAgEy@VO(r0+@#)%c&0Jqfaj7 zxHU?0{^h?8gZ>1+2Z_>Iz+L;4*`zmbmP4;EKZCz`62kX$vk=?_<;Hl)Mn!NRHaoIl ze7&KIBs;!I19`>r6k3rLzk+`N1WAJw)jxXJz~gt+RNo%4C$5aa7goU21| zyx~=umso>!C;I#mPI}#l-;2G62ceg34t67MlQ&_!+~0e7oyK24TyZt+UKFS?jxOh2 z_URbK`ihsqMc>zfgMb zNco!~W#J$}MFszeON*IU)QF6ng%zE6syt$7~0DRIQTP1Dl!o1s_7 zcEVp?=lhA5#J_imcWqaaUNpSN`i))SBi{Tt&XHd2t%~%ft=b-#=fV zUvh271k#K3)42YwI_jx^`)na`m*;12`RR1%-QLLt`hEV~-(}xoe(JEwBcUJ2`N&~` z;3nfoI3G=NJm)#47r6SjJ;p^8uB;+Zdrswyj*tGjwBfig=8(VNr*=YW~)Frp&aa^OZPG#h2_}kr&d0eJX#kiQ- zyzXo$kE2*|eL3APIb_a#}lH23$+FzknF_(j&oG{t+IyC0GWeOwa!y|MEU*A?|biMu+F!R?>3z*W(T zlfWMohmRLE9^CGqHjTI*8wf6*}Vckw-K<_PZZ!!^9WEo+STan*7&>kk(O zmjgZAA7s)gaJje>xXZaJg8aR+ap0!TO4h%Kok3jr?_mG_iQu-Ao=99z&yPH9&f3_A zWzLr){VC6$d=9E{mw4T^>9LaZGPwiC&EXI3i5{!qQ)(XjtWP|L=LbLNbYUW(1NAuW=^8P_y)PECe;IyXQ_t>Cqd0m9|Gh(e z2){(%?c4f>^dh1V^kP;sHok*)@1mL(7a>F#|{01^^JFP+~RqA6ZbZK z!*w|H7uLI}+G#4{PTIx#Z08VHPilbso_8#5-Q^g?;}|(Q#792A?1x@Gx&t3?*!?i# zveaef`7)d)U!5s2j6Uu4SzL#MSy`W_*h285M_50gKk6*{`+r3~qW<^LtEf(htBd$! zoqGKbfO}a^!bjxqx{`d&Zm*r@euW(1xHl%VesqpV z(z~8Bz{TP`*eBiBx3Io+I^OrZ#Gj#8-7gNNxNiRq=yi?j;JQVQp5&uya~;I6O&s@q z({7}fT_T`&Z+)nKCbT;_;}rdCX>Ht-XD5dW*^5L zKRgO?$47yCt%Gh*JQ39sKDPEWaC`X{-^YHg&UM%t$v#v0cTq1UfZqpIF#A-l1HD=P zE&T1iuffgj4~Q!!j+stzz45%Cc*pskru}Y>B`!<<484lszZ1#s9Wa0F>0=!CNDjX5 z`6h=#pY9U#4D~tBf+e^P1OEm0s(4s0a_}(td!fa!j&z@Oyx!MN*h&5N{y7A_t8^H7 zx)Q&1B!Byq_enST1lO(9-QL8-QVqSH5Xt9bM0(60wRj!-{OAv^eyctSJ~Ib{%eR5x z=97=1w}EMK|KZ=|)Tdb$H2)s!S8OlC{vkh~MZ9zo9q>8p8S+#mSEHWJ=XZzx{_Y~u z_VX;CVSTyaCYTTE1@Gr(z}N8ihU|>+k-l(e_=peJPLZ#Z{reNw>G_=XK5K*X)GS$r zeO}c(#Cdurng3ci9{KF%b?TM|g3Is@;lx$0Na)Rs?&snEcT_C+t|1&ZPba?T6dV)m zOV!($cyPC=7wRU?yj?_G?05?wxvc{9y6S#IKKgJXxLDr?+(w4ZCoUe1Wc`%y_&oCE zpF!NL&&K*eE5P0QhZBjbbNdk2TM@+i{aJAj(R+E_xxRJ4O|46vNbi=FgkJe4pueKs z6W-6aX287l>P_PLpd(k1-iB>JT=!``)In#TfPGT-Q5@H=D(0Ig9<#znd1mGFT^(%= zA2H+MH^kMBwDYCmW%$TXn(iQf9oUES@tz_dJAVG>q!)2%`~1UbuIH0nLx}6n1CfvY zbvJy(jfgn%QF9i+N0ferxL)<%3*a-lIIqW*X?Zq`MqG7b6!h|T5gvC}atitA4!ob} zDI4IUOK(|5KDPIM#PuqM@Vve87WL6JeBg4;XV~9VNTGG)BY&%exN7q}u0wLXr%pHJ4xGoU(@sFn^l|T>s1SO_Y5Ae|MugxEnfq zGV)J;1g>_!K>oJ%IY09EdS*m_#m$4fZ~VRj^W0@kW_^>3$ltwN4<8#AfVd`eCvcOy z-xBy2oCGc&r3bffqTu5hAAIaz{QIZ;H1j0Vn_P=H&&HLwUsnry#O2K})(4gW7kA2G zeASL4@VAe$Vg7j2(l3Y4aGpQj%N^rzgf{(SF}KP|_8Xo}SV*P$N!BO2^~Ub^1KY#~W%9SC(51F8}qbNnC&Q0D2i;0qeqSO}82OrwfJN zy!ngkoFNS3ViWkiPn3+ozT~yskM~@AG%LrwyA1xKvip{NT$zfzj$&SOzv6%1h`1@- zUz`3e=Ak$iGRa5zlw5(ho_|i{BW`A$LRq;#|`k((ak%`R@qU{)~F+ zT?e68HV^7!VtpgX$5uVT{kqBbA91vcCN3hbgWK*akdJH^(~G#f#Ph@+n#y^8(J>JD zq~r5f^!k8t5d{*O`jcLypbkpc#JY9|GT>ZL&lTKSn zA4WbhdLXze!N1$c+y6|2|508?az+B@Ic|J6%14yv_ikBk2lCO2nb&N{&LzcUN_hRwqB#8l^fSoiyAIK}mD z@VPJU{fd6coTD)=cIbHcxMSOqzxQXzT=G|yzGVMXV^BA5SKxHw=Ex9mogB^MQYGIs z;`YgVaFuiw`FNF=W8Zdr_qVq*&Et6PF@8VsY)kl<*pc8S zYnCALcmIw?J-y%m#CWN7fAM|q+-z{WZ57w8+Lk50RK0g}1Gsq3`@HIqE*5-g+W-44 z-voO7u=ID}b~yCPuNCH}D0Z#~#ntopp6QxD#=a+V4#54;?M#O}?X~0JE@IFC(#!uE za2x%mI-sb0^ppQvAh z;3GTm-|1Z6{n+U zkK_B8EO3_3qb<9~5|_6JaGljAaQWYoQSkT6i#%nwhVa*!LU$6kg75#{rL_0)r!8=Q z^LF;&eBKnqJoKJVUEm}C-8{bH-Y$%bOgMybG0Qqb@14nxc_o_6P9VJ*&gX^Pa2$G* zZ^$y@>YF93|F}H#X4J?i;{F zy6GeRQ+;$+*6Szz!1cUq1BrV(`Tw2DfocB__I>fe6xZ9=4CA7j@c)O@4U*=NUbgHD zuJ`kKEi*61Ig;A+|Ns6ER=_>jaE9iE-I$N(W1URl^uDP|#o)bB?wfIw+TD{&*k`nV z|KI7msqi1pBRhQCAbfB9Be?yfGxlxUdtMJ8J(uqv_}BqOvCpehD<=}yay0braS`an z`zAQY<=q@7$xqn;?89pcR0_m@eT!F6&7*0nml;A`?1TSjo) z@b`#ow)Vm~h~+iM@8}9_dR(O z=Zp8>HjIlbu^;|&(-!Pw=3E(YtzvNwiYp1T$lt8`1^KAcd~Xrq;ggAbGb5S5D1|zB J-r!*0{{YZO+cE$E literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/26.npy b/MP_Data/pose1/15/26.npy new file mode 100644 index 0000000000000000000000000000000000000000..8b257c9284349738e2d078d4026ae59531b70c27 GIT binary patch literal 13424 zcmeI3_g|Jb)W&12byn-F9cqeu)V)WE3#+14+=?0y2M$CWC@xEF3fBkqB#wpOVU zx7LXRamPC9UZqy+ddYS83*KMf*I%B`{mpe>IXOAWo%?w(wtbg&9eQMAW7zoe0sTkz z3n|}_mv20ve)%fA{D9#hqeA?G`VJ2X=x5*q+fmfcPY0r1tvO8hH>Y+zp4!b>-`nnf{_#HAP3X&O&YvyJx_{l>KV7>` zEprL|^mu}Hvn1<&kI`t?=lY^ucYA?$xq;eMqkHJzJ`YTH_v@xL&N_cSh1&He4{m`^ zYlZQfeIt_5zJl82qz@Rs9MtWa)0uHIuex@9GVA`Qoe)2Jejn{@%H4F_e<17r_Gcd8 zz5`+KF}ao>!2J_GAiuh&x#8M%w|t0Gy!Bb&u0?UWpPlXX1lL`zJ;i6f9k}0~9{tE& z%lCONx=%B%1={V)#phEpulcssbYJo2=!fM?&VWAm#&fRShHkj&uGNT#=kR$oFO9S2 zqi3#N{<#bH$x_9hyLP>)(JS{U!jD`;d&O~_p9kE|8ed5`=|@9-KMRl zc+XclkNb`cME{o8dG6X-^%>zFjI5gF@o3fK|zbwYHi_B}bKm9uT{U-Ny zw7(6*{bFBvw3|yealfrs`GjkiWe5G`^g8l)wCg7GXQX6atJW3nyLOS%73;_B%|N@{ ze&TEB$NY2`{#_d&&%(b9`qiyZ#=85ZUpa6-@!l2a_ol6MT&I*KUU|+{$7L=(-*I#3 zGOd#W8CZwnXoon**)0ye+}{#DHlD2le_5D(UXI4P)OA+EU*3NPA3b#<*1OqSWgh%5 z^uRdyyp7<}zf!PgroBzPLH({Po93>~Z^x!NJui|DZl83<`mxJL%yis#-b#G$Yt*Hv z-aFKBwx}`UF+;~74`%2Sj7ugGXGuH2MXnWdonG~8Nb%P{N&19xl=oAf;H>f&Sod;T zJBlZ@Ik-63iS`4(zRQJ-AqvHp}^&$kyN{fngomKAzC?H(ub>-T%G^D(3U1ZRcgh_^}{ zru<%x^A|_s2^oatmDGu!aSPF ze^6cJ3q!r>e|JM~>P`fg9X^2bee;MvyaBEUy+^%?bF?1SmFM8RRubw;uG|Sdzgvvz zO=U#6e(iE^aNX%SIBRfx2;!6!C#&%i@tfjjuul2@$K(^-3!Klqp9mlQ0(sEW={#Yc z^k@K|x<2Hu3ekGcdpz86R(k}vDVGiP$)C?z;JC;;fc&d%g}>I3^Wk%>9rDR1=Ab&? z_^6NLvhi*5X|x3XHuf*nzZn-n^B!^;b`}tVM+1V(>Z(jGg z;F)=;8xCIJK27Bi_{;DT(3`wiy*VerRgoby-k?$7_Iy8Z-C{8LoUaoI|4ZY+ZD>bu zJ9%x0<67mwctzBH(% z)!@AB2hzW9h4rFpYzEh!0hEW1o98$mHI(X8r}`tG^33evj@u0}(5tb-!CAwQ2*>&Q zNb)Js6r86Z%9(W@?7AKO>N9?`T|D9) zaZ#@qINN-l{7Za}etGbB;QX~h-gNF=6z8{%iC>vJ$@#EX^qdt%I)jV-=cgbKRo0OH z=_Jzc-5w2n={U+muVm7PM?r5}W$hd7%2FPd`~bZy=#6?%6YA1@^{ckk)AhT*48_^A z8@M<#1kXFsE1vvqbNI8i4ad8F?ZQ}aQHtVZ*{fk5)ho(B`(+b+w9oE&PA?xvlTRPw zvgm!pqi$XTH`8WPzdyzF04|;^>KvtL_sh zo>L7_4?M99;*l{usoz{3pw}HgpkJ0y1KjN0fqre1CKxZDp95UJs)hA#PeqJ#{<4-o z_4}d%J!kvIOBa_?>4=~E!c-wa_d}ic0CBAn#xNVuUrSsuejuH>-MZ8G9{>p4S7(76A+JFJt@rjuqL!0@+}<^zuHrCiPOsqLFiW{9K?H(Sg|(A>1|t2 z%FnW49sJVSP ze7XjpU$NE$@$<9US2-?6_a6Ynm82P8nNBm;>fH22xS2};{MGcW>o0x(+w;|V{H*a## z{D1syr1RIm(D}p!9;9*IE;z?=-s=$cTVf8l{*Zf-<7U-C>UZ~o^X{6JxIZN&^TTFz zKpyx{@1ZvZ8-}=cE1to}j7p|_Ha$?$aWSMgd{n>1;A%yip3q;e39gqZ;(JF7hW@uT zl(%t>z}e}=)1c4yIrRJ}o%30TT3*m6UPHff(_Ne&E33bYg8skD!A(HvZVy}z^bSJ71{o=;A}UwJoQ=eRx@LjAT&fnGGu834Ys zBJyJ%e}Q>Xf$i~JU!KIn zV_y(Adrlx8KBGU*3EE>H;^BkpV_w+JFK4)TWHUOi$~&XM`Nl7mu{06=9=m~l?Yi$#|8nrQXy>B~()*6= z+Jn~hy81Yu@XhC-H;?IC)Pw$tBcbhqY5qFQ3u5k@qYIZiepwS7)nJ{7(+zJR`q+Kf&qQy2{A2 zJTjK*#HR?Yqv=aYU#S%B8+v^V;+Z*wxX(wb!$PdKgt)vc{-i1 z)VZ%Ip6pM@J3aTI_aM_JH@NnV#dF6bEQgN@{~P`?<22%DlNW>QtNAcr_IO`BFO*MC z%rBdC0&&`K8xQ}@e~?enz7+rI#|s@-2i}s;wkqIa$Noi*3pE|w#2=>T*M@KBgNJv7 zzqvLF{mQxhCpfOBwFTGz6$KZsr-eCgy2vz)%}i_@yyh- zHCgq1Y$ev6vK!zpv^Vs8&VH)@pt8QsU)`qtMAb|tecbr5=(l)I>i1%A%%i-&kK(*M zmF73XsRngG9kO1bcpkAnF%;+K&Cs(q z-{8C3sOF_o25QKExNE7@3mE^>kVnndd{A$Cd$zpS@U*IAwqO zK7l_g7w`14OBA?GtAc#$!JnZ{MA5zAx|Tv7#M*({>BZMgi5HlQ`qXnu20E_FJ)rS^ z>;Z14h*0Ql9P#OWz}dF`$g^BP=LeH(D!7n;A%0V}B8_Y5d2rKzd=L1jPr=2Px3IqS z!HL+fcvySnhxw*pyry%zM9<84_?3pxtCzo~yK5G_FxY*Xg=4|lh)dx1#w$GcSzCJU z^PpsKd55=m{n~S%QQqRiNq_UAx8rPB18}v3&Tl4nW#PC;@&#u;uMsEHtFb?rJ9TLu zcN{>RY+8}6E*{a5&Tn>bPvqb3T7rFB9;Np<%e|r3>pT`ae>psBUmfs(>N9E>=0)-6 zG%u4X)4G_Ml7KivQ^EO{^!{r-V!_3Kw4d0aG0?MzpU-xB)0*}NyPMwc*q$*fz%PD) zkGRr>^p*V)kLll;{NIhncuo2i)W2Y%#J^h#F7{?Lb3Xjh4DxBbgYxr94ZMHZr5!OZ zyyqa&7aSevnW<;bYl7PzUf`-g!T@kl>yG=hxzjN(rrGaHoxknS;;!TR_Y0^WHMPqe zcdf3shhDBJN%6Px!@g&Vr$etwwz}YSGHt{L_sK`@fnF!fL%%xrFJX?0J5RvHvKbUl znrZ?JGk1GANv@KnT>Ox4DAHY3)AnAs!*Q!PA@m-zvn)A<>&C1=hkk7|HNeI#aFK> z9+oQ}I-3LB{!tQj%K~R%UGUZ+G~P8C*q=?>In=+28$x_c0`@m^bJeUA*WXu3l(*nQ z;PTo{oFDA*RB#>WP5QZOBA|a23vQn+1=nkH#5k@;{Y?J-6UpbBQP`K%*rJG2-mZ#$ zSotnO9ojBGQNR1nQ~V!VuXH|QE1knlXajJa(LB*{89f_5EZ@e9o=z9v8|OeaX%@vf zGzoR9R>TK5z1dIki0aefBL>XI_h7o$cGCOS1Ltq*((}l7G5q!4^uDH}LZ`TX%*b3&)~DMhg8xXr zr?B5%kx!i#li>5~4D`!_>H9;uaN`)KR}E^x$8Ma9Jlhia!A&C7k50RUc^6*zENli>PP#g zgNyN>oO8Z9DKH%V-%dlnqIGWQZO>*49hX~=lKv5Wzhrucmv;Vg-+Ib_SNa`|hqc8z zm4gp}n|f#A!@RoTJRoC7z(>CAit*}0U(ItqriBJ)%L6DsWq-hWG4l_CtJPuPqFtd# zr)LRK;HF1@?34WIOIlw|o)Y)^mGpD62e|k}`b}`2kp|8VH-BWVANkkQiO%25@&}itc7fZ{m$9zZ z!5H%K9)fe4jrb2fqWlzacJ&(8wK#Dd^DE*aNdIOcIJtx ziNoNc)N6V!hnDqp@rZzLQMY_nTiTam`r`Sb|DpB8PmM=Cur`zNJ-n73p;r-Ov5r`Q z;#e>2+Xlq1OvS#W{A)~c{@k-PxLCgz>w>Qh?t*^fULqbfj^0CgN?b!XF8*!Se%`Ol zMW@UBy$bciM$>*SHw>kH?`~aRrS(fkF5_g}7&RVDMdJz9*?*#Bd;n1@Ubbb~!qvtuU+6+X$Y>^K=FMj@awCk4z zE+IaoJMv~ipDuEoH+)Y%UsNLfpcNWEYd27SmUx5n{vGB!ZdMKjR~hl7A9Fp*aosmJ z@yW}<^_{&qpRo1&(68AN49-#u2g7F)tvh{~&ckBYtIm$wj^9DAMI4RSGYI>+8v7~g zR#%9my7lo`0sZWC)bFE)I6v@VBQWoFYS!=j=@n3Ky3oiKDVhFa*?fwp4b_#ZcLD28 z1!g^8Ze53u9aH6J#95*b>9;>eJoeC6Wu1@V$>8itH086;;en3p$bN`Nm|gH;{-a`@ zkC;v83LTX}@h|gU;Pf)*cNmu#R~vD%)7{apnh-?(q6GSt1$`$uALB#MHP(GKd|0^| zan6TNJxKl59*ccITy2H?@bd;-@(MR`e}ye;+$Zz@9{tMtvGCyw8*g@84SWT?+C3ZV z-Gq-_?YOP_09;o%fcn=SpW*v7n?`?kraXG!9H{rQ2>4X2kNB->jd95?Td3Z;9-whe z+(G>=xbK&e=`Uty{e4&%eNSj#-@sOfSq1QLj@Zb25e74m9*Sl9vbex@{ z^EO}j4Ds7#@4cMAnUMqIRl^TszC=Vn)VV$VJNewXg!oml+RFK8k5(8ji|7Q-{FW_t z+!j{g@~`ZqSKn#JMY|O8DP14&@RF?~9hYYpf~#j$DE@2B;cwQC2iK3vft%7jF~9b! z3P8`3;`E8e-3k;U8elV;LhNt**?sRIbWQ{ zwY@L6-M9zm8Ix9r__auI-TA>(=fgYxNBrX;%)8z1zs+&8wg&MXFQHc*+t5B%=@`ak zDtO?zW9s&vn3Acte^dNyJDrzo_6Y3%IuAV`InNEf7`mR$X|dDb&mVO{-SVo#kbgP2 z199JMG%x9E=OE5M>3n4iCW4DwYwEaub&Ds^i-mMP7sD2y&PD7v#3}e=%EQcGF)u0? z?epAo8tqr*2hn?O7uw(KwK(#>+IN=gR}`p%x-#47cR*1gXcKt)0{HW*S-=0z^-(S! z_00-!b()^zy3eXfj@wR~D4w62Vg1_rbEY_MCjSC%s?+ZX{KHV_*`-6^a{A}UkD9=T zJ3Ws)P5e5Yf5d|m{*LQEZh-5WORz4)!^0B%J6bPd?F4YSqjhieTbrK0^4)993+w%3 zJ_)uLd0Xla98+{r5>UKXO`;YhWa$umIk?gZJVW(hiQjs zzwJE;^CIVthL29%hWO;40{oiiM9>Tr)K==a7z(zlJmyr}(Uuy61I?4D~^ zr>-L&bEq@+ZPR@<^r~4_U3qmxo!A2}5qV*oJfWAL@)rR_=HIV8pZ00b;GjcfM z*Y*FR^|*olE=cd8_earmIr3(9>m@0faqvUypjUehIQuI5JjcbrP;mB>C+R=tT<*BK z7)buT+R{GI&99H^R~4Xhrdaoc_C2pHIG@PpAE6hiC&Bf=0|8F2y&EBZx#ui6n|5Wa z@~LGsbao>m7}^bsqSLQ?aN|-Z<-fp+;{=|M#beQ*@&97%O#=_>sIL z;bZ#2N0mzgm!aeFzAQtEB2JOL8T?IB_nl5}%hG$9+4LBBwkvz#{3ibGLGctVO6x1k z7wb+=q;rlvunl?@orHN|TRK6{|DnGh6Q@GsQ!@QkZ#w^QdklJ0t#h2?=FDR9-&Y!S zsHaEae6E7qfgAZHxU3|}|3})Fq*p^)N7(1Tt|Ns8a zWx({wIFI`Br@s@?ReMcyfA6jP*1O=im`%T9$m?|nx@)yQ68g-2i_RhCABQ?_{!TmR zK3Uw)*w5AY=^?nz5d&__C*Y>#jiHXq>>?HSl^#a>{Jq(W-L<~h{4DP4G!FZ)E&Dvy zUE5kIXWXZFy&daL`g%`?E~zHC?$iY9n*DfCIiC6d8Q`NYy@9{VsEGZ_q+WquhWrhG zdBg|%mAVxGuC^4S_51#AfArU=B>8WSfWNG_55ITo_S-2=kHN@;nv)#n^k#GtxV-;? z&NH63upW8cZ5S_W&yfe&KV)Kx8&}7n$dB~82hO`3n(R3DUI`!j@iF}6L;8DWGw2ie ns3M*im-X8j34P3;;JmC4W_Uv=Q!nU2-wC|Qqj1?2g_U$+7 z`=GM*WZ4G&zb;!zmhC@0Xmn8TVZDY2_3cNzS??jE`la$wfxSocOZ{A~TJ74^E0wP# zC&~ZqzwAN?8&>wdPwG|eEO-sqbPru(>Syor$0zjJ9$U-pr&nJ_d;3q(ZpU)FsF&vf zbc=VOT^`7Wb~l*Y)zN`y*E4=YyWY<2b~Lw}HeK$~{W3=i`%lYsJCXXGo7R7lyG!lf zvocrcs&;?8MeW}FwDyo7w7Yh_(e6#kfcwRoH2>U>(7&gKU#0tXd3O%?PfWYNwe3t?q(`Pm7*57oM5Az;Qq|a(> zGJW=jU%3F@JU7}+)ApCBT|D?5_t}I7+)sr4mvrX&^7GX0CVYK|KC6XK`2M8+7>Bp_ z*i&k^&-d_suW~=deY1W3qpRrof&D{2!TnyfE$4{q7c(7Q)sq7MB&J?Xr5U(it-OM` zybkNn=#XH#YO)?WXIr#fhmt?rgwAYPYYO^7?7=FWSYk zlk=!ura$}u?Nw?Z&tCb;=vUlawUF9HUkPqY{&}7J_2`t9#C7&!;I75I8^pzt^$Uo5 zM=xN$Rj22?4sS)qLchNV^rApB_?U8^uO=>^<^Y%eW3Vn|r9<$So&SQ5PMC!CZoZ!| zpY*O%M~uUsj0YFx>y7Y9<>K{KuCp2PGJV!5fwM@jtDXlJE8C%dy!i5S;N!QB{hz-; zUCTF-A;eAJ+B~knDaeCbxgFzDlbFlCzkoZh2l8jS*MwfxIS+1IE=9j)P+cBxojj;_ z*Tl_0JUttN>x~`2Rh6gE+lr0Yr)fO6OrC@|Rk1Wi3-Pas-<#n3P`H3E2d{XnE^nYA0Lvvvs zZNK0avBeET%AnE z^FHq^xb9vP^=A8SgI?~9;Cj2ZAKd$XCb-?7oV{msYFY;+i{>%Q;pCf*GGzsg}`~DAboe;qMjljD0UL_+BGB3}U zeKMpW`Rg~Wq4(l*V!hj+vmg)Z=pgoK@ew|{^};C9iz~grrPu`S)t|b6xa`^z`P9t> z>RDy19{~UKw^$#!82+MsM&3`R1VgV{UFJF;nkSs}s&EdHKjRxc+b9@GFt`9~&<Gc!Tk(x%0TrGaOhzJ~H|!xR>V?uZx6- zKM+@!W5I0^!TC>$z_{#|HS9CB5Aq;mH$gAw3}Bz)9_u?V7!3d3lfm`3Lpje$TP6~> zo5z5=%s${=!ord0ci;}z56i&*$M?j5uino7DcM-x_*@uqk@GsZy2$I-o%J^_h=(5K2DAiwCz)xz6=ZUt!&Oo8!Pm z!BFmZQ?6;G7v~qSPu4x)deqIS#O+~UaFbG+=eN#=2;w@J&qcO!Wv<(}kz0IHx%rRJ zC+b8Oa2GoP&pTauA$+`{jXBPX%R|s_yIJ7&yR`L~V=Cs+8+(KMy}toIX41a-q*pUF zxR|vL+}^s1_+967;3|J4>wh^5z1dd~T=vk|m%JI_!Q^8a96|l-{<(SI8@qNiaUI?j zdfVs?xP37Z`?d|egZfwDJ+WRy{S%XY$ftjC_W8{BB7L^U7x=@cY7cNZrz_TrE_EC8 z;vSFYc)Ha=J(!C-$3Xv62XJ?w74#zRN7RGPUJ+d7+lqem_>UN`_W1~Zn@|nw-4ynp zKt8Gl_v_-m#B)$rOYtZ!^YS9%cQvx`{(mkioVe=z4aYP5Cw|U``Sm33PG{x#|7i)X zMztFbpPeH(p7%@P?+O&*eHQ^jW{?vx2T( zo$t}FURnh4i)TKoiL3aGh(GmQb{n7Xy^Nu&oZkm}uUrluSBL&_#DyM;c#PZxe{VqH zKE&+87@ZTk1*@wq8#7 z=$JE&z%O?PH(xhm|H1=1lE1g8BI41{eua;^@?AV}+jc1X6y3*h=FZZWxVTaZ`B97V zV_rm^@9hm(9t~HFNmRLd5g&Cb-<*lzsN`^Tmz7&AiGn z#3Lfp5|@JCqxGpX;8yG&K>fNcA2|P2 z=3(9GsUy~qUX`x^AN!dP#;X=K=tEo&TEYG=_i~*t$g_ZaMBR4CgE#sJ{9UB~K;qs< z&VzoO3~rKVg~8|WRPHy^G>q59xK-dum*H>rS4RDNxl2tWA6+5s`Fp%8xS0Ag&UNnf zN$9-?vAo{f9Ydbw&wM^q$Dgo%(SOjZ3O_?Hw}fE4>O;oKw$w ze8cA!efo3cQx43CICUZZK2LXfi+MNMYBVGt{g$6QYDRvZmv0((B3~KC=PPeY5yYbg z6&p`_k*OT|l@rs0%g}f{cjT)j9B0rI_}hccaDGt3=7XDcpKzVDKZoad98KKi_z&EBP##>A&9NB#mvH7?4qx-3`~7O6ex%3yj0hQx ze!Y|PkvCVf8S2WkE=@wnWy6!uwK3S4J-Jr40)&IB$#HHJ&Ci)~mZ~i$OOk7V9?5_hbk9OLhh*K1v%6V>l z30!oT-huS)A+KNCA{23&>CJI2RgwMRqyDad=ZN`c2+ra1$yxR}u?z8-OW%(7N%fHv zN?Dj6; z<`ai`5z&h{Z#%m)-*^@Euf}!&H|HbRr(JcN!_Dwg;O^L2)+ZJ8Cx7uV?LGRlTUcLi z=ju?ORBU|Oa6TLD#(34XiK~dqfwkEu?{=>9H?KwzSMNrF>z)_DRlkp|iMx^f+;<%k zz|ELmZ4y(t{xcoMtE+{8dvzy(%ON$vRenCdd58YM^UK8Y?=Ir@KZw)pUQ?HRREs)@ zQwRKlIK8vq;=Rec!S6NNuPfK{$t8GB**pAwsVeHr>+xD!tW)*&6vvY%?YvrVBId@)2ua zfs2!!n6Davcx2vo;4)?;k9X zdGYJd`uAgT4iO6~gUhN-ndeyDpZwK{%Dn$HxQuzxA2P&{zfRxi0s2352K6HvFPlrB z&Eb~N>-ohHzi2&<_rvcmvc8JKdz=$rt|Ptl+XcNkH5>iP7f~VbdG?5T@o5}S$|sYF z+x11@qc)EKS4VG6C9a2c1b6weF)uv<=RGguEcn=sqrgqb;c@W4ox=P?F0TKJ{-fZ( zgyS*yN`tEa5AS6zuo(R1uLYSGXoYxmPX%rlHvpHXzK|?TRdvGUyf{%B99nQC=>L-7|uiGPVdnIT+eO6Brp!bSA2X|ksjV10C zOwT?`i}JoYsCdIf;tz*lysr9t?9XoCcGSOV)gN46{1N+`H{|m0Grutl z=Pvu-Z{XgI@0fqsI0^c(Kd_Hyz~!OQ(}rh{q+HD#YW>ifT*TMs-HyeX~CNBP-10TC3 z8RJzx7cgFXd;s?wRtf7@y`RVL?_*zqdq3`izv%Y?`@E;_us-)Tp5NelJ;>k7GMwY- zeGlthP2qE|$@DYyD)B7mKRId!jZ4^_%v%k>c-@3->52 z<%e?^&&-7JxQ0ZaUt2Xj^!D%utUJ~4F#8Ydjy#Kc*_xBTtG5PvV_KtM&-}8GeB_k_ z;Oh6|@R6BvVqRoTUPmIP7se~)!+G$Di{&`)4+dA|j$mA7XCkj?;A>b-Ju7#_;f$G?b>uYakGo{ z-u8hwr|CyG#}b!gCv(5`ZeU%j;Y*PReRUkT@!{`9y_7i^uQ4OQT^rs9bf<0bSM379 z)t%Qo-uO8Y!f!X=vC2! z%)NiHzln|qYEV3CdLh)U?9~Es>ih!FciEbsYvRLrUU!*(#rKM`X&bKp8$svke)-qH zC|v8-VxR6|7vQ@(6P~j&vN*WNyXzux{jjw!UG1NL^SF|i@w`X<^<`oz_bT(g?QVR* z>uYNOuM59c(0e)%{<_dztPA;F8|GK8VO^WI&-;*%O5*3NuF&EN^(R{0$3Cy79ppHx zoCKGxW0#=4*HHHPv?I73uww#owIqbc`?v!?H&5rAPuw2w1HCbAIiHdDQP29pLU8@C z3-YGoi!V-0)$5qooCjN)pD(`S4EgALyr0MhEx^t7Yzv5s^MTN-g8aR%Y3)Uz-@r`Z zZek4d_Q}0*#AW0!98dKj;OfAvVc-p?g3CO79@ce!{tmokQRclDa~|4ck4#MUu@%$t z{_i^;^@1`Z;e1cb@GHj_*e4~kB#5P^Aee7A^E5# zKXAXp{^5F_5E?~#y{8zj$1VJv($l)4UmZS(_0)3M|u zT5$c?l+mbLS2uhG>GfIO|IL_E*x%fZ^J|F9t`*R)JQIm{%WJUFnf5#BJsX{vsyD$0m_Ofw zenqz|-xF8Q@4`nH5*V-ddNV(#x~HA5lKJ~yFMLD<`I|F;z(<^`2)*t4Q4^P2{{mNe zpCNu%AtUC?+nk>3C)Vj^0;>Tf!pkl7n8sGcM`ab zNzdHh*ATa@_o81Tt0Nv=HUDJdde3}tx0?TMPWKN)encEU*Tgajy;*pU=Qrvo{N1M+ zxejZLj)PCmdF&q@2kxD3K9RWF%<;R&{lMkFUI=j!^e5+`XFG6JyUQf#;|g&6@%+23 zeEBYnxH?!J+)EnIKDkQIAZ`!+2d)qI#=M)8jkXdurK^CesK?OjUeVacT>T^H*9$L= z=Z?3zV`yTk-tFT0w>9{@#y1I3513pC9U0bl$`HKf(LF zlYH+!#-+>g zK5u$W<9%<=v$^CW`(=iY=N}7y>7NeoiLP;Z)RhecJ#Yj0xQaYqwk`j?hkLPo z3i+79G3Zy^{v*?QE!cP*VqT%WxGt{2CGi(D1D6Zf*Gt(RgNTul$?O5CO^%;RnO7V{#W^lIWm z`bS)!YF!oVt9quvb4Tq-`@5+UkGTGOokX0%r!mLrj&L0wn-oYs_F*rM=fEkhx3;GMXcx1rs&J>UMcp34CJ6jNseRwez@l5`LeMa*8yF1!vJn79x$2=W>A1>}x ztVMd+xD2>h{0%>kZdmNYZYQrtU6+4n)L)Ij`=b}JgyTsOJn!2ck05{d>RZGk8}i?Y zi9x+kKehy~J3Z_j>Op4xqyy>gV$P?1odNZ%@23x=SmB_1>q*kE;1Oxc#^Y zc@}^DUX}FT-5IREeE{4BJ;uIaa`O9#jOl_nb>?hb4=opQ{JjtHKL24K=Ec1Uf{%E| ze^(&xUPV2dCiTHxY{vEZYpZS) zkCFTyXW}1X-*ewJZ9`m_e+RvD$G~mwA-#!<*g8C3zf<69L#|-rYH@FH+4eth?^5Lm z;?hoI{o{-1*T#rw`0Ofy{Fop4Tx4@C#eSl84S`-)+Rp2%m_PPCd#eGs7yS&}$c@v; z$0Vn{=Z0rO-n=%`_<2++?R%kj{C%Sw{R!ff1^7HBj+}vy?OPo6=>_mQHRt&6In~jG zq2#Ye=S7?ZoY%K`gSGqW9OzI&$@Or-p9@Rj-0pGdASZREyubu-3Nlp(_497 zR^GzAh!JhURqo8FD>)%9E|L7(^7BIOI1atcHzk(1dz^N@eOrq4jkojrSJoEr(FY4M zUpy85-UkIPCe{NtnPPE1aXI~2KcE8gAVVilqH#(8M$7|yFi+pQFZhu<;PMXt9jv~& z6yMLd@FqOJe=p?ytx)#={h?v@(xZN3h0X~-h|Arct9`D_* z)VJWOM-}V?w#gHm-%Py+talyR-+yT+-EWqC2ChG}hQGX0wjum4Up`M)_0?MVxUe@E zujqIbTt67c`%Lm0oX1>32KFh;<28Azjimc!w<^%f2@m0K1KN*FOyy#4M&`cdz}0yE z`!}y}A#k^l|K3UM%Zz-=urlDLXLg*sf4Q2jgsnLo50}~MC^8f$< literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/28.npy b/MP_Data/pose1/15/28.npy new file mode 100644 index 0000000000000000000000000000000000000000..4d2d6ebf48067fa615a41bce212af972c74a791f GIT binary patch literal 13424 zcmeI2_kWH_8}vW>Apjt@{rj8bg z!}$O0zr2hwv$6aGudKhkxW^6qSN+)PuFLYvnJ?{UF*^zE@{b)??PudL&_Vm~>~^>R z{AIab`vY2JO0Z1cj4c@ z7y54wzdvZ(o%z}R%U`1ZPC)!E=v-^lZM!%@?c!i#8u+y-hMXavg6h=r!SKjY<)MY=j zu&4I3@UC|me@A9O=Y)5-uQ7rt+TMpOKHC-2yHmE`l*wyP#lR6h$Z zB5%IO1K;O?@2}c+zF`;QnKIq4*zf5R%Q1dh&wOLsWxgd8KaJD(Uu=4Bb>`z|%%Ah+ z6UJTk{4eHRoowj9XLz;O`2L$%e4ka``Pg!&&Q|na{8nXuo26ShS;rmXDiD;J{(5zM zU&Y7e6j|J;0;nU^+3k7rtk1k*UDTh`F%j*$%Xs)1@7kAayK^iE-!~iGa*3?ZdPp$F ziS<67Zrio1Ccdw(mqWX7>yFRDt?4=2uA0?@crYBF%M$c zTeM5>#?!4{&1(F}wu>CKQMYx{CrE+##^34PS7M9a<0(!}r0|I>24 zeak}2`IuB%C-+`r9m=~2%Pn_&Nu$=jsBU$l7)AJ%L# z=3OjWxxng$S6AwX$7-sF@nb@~vbc1+M*4$guiDS*pF=TLuX|o3p5}AKax-A|T+8{E z_2A;r>r~72q~9h(|HDtnNB5eJaZvG#(Jx({xTt)H=Ec29tks*6b*NuM(ugneqqrp- zkWZ;Xw0?Rnn+5&9jlfy!F5u3{Waz~o&A|DXwctVtri7bTvczq(HgaPwgMQp=snZBa*jZzRS?79Xs=vbg-` z9mbgz$cuSYjT*PHdhTJs)%!}c&z^nV89pAfiQlV3`ZG(5K)fxaaGlew;ef z7Flk7`U=i6FM;!)3!vWA+AZKZa3;9^W*N8~97X!KcS%3$9@U%gdE%ablmCIWbKw7d zGPv|Eg}Tyfk47S&0Ro(dJp*_AJc2D(Ghc%n^BVb!0}rrH^}+kZm-VFm;Z1I=Yq2MT z#vvw-=Ii5(X7G929(r*hFV?%hnTc@_Z3lz1BVWj8ZcLoj^U&Vl`tt^G=9;q5a?_?Q z&10d@;PTSk9+o?^Z<7E1#qgI4@*z+8a6I&4*(KCDpU?pP*EzK*-R~Bv@XaA}XLn+UR#i-sI<@m+wS&xF?a@cNgF}z)K@D@eD&EsJhPd3)o z%W~tj75=PfTN>vUuQphJ(Qy&juu>4Tg_M zcLu=Ue+2nV^#kX;`6$c9zAuQYR_?_(s7jewNBm+i^s;n2__NcyP*-O2U5t;pc>;Pd zI0AJg-7XQ&YzZza$Ipg;$S`m z?i4r&E{nv^x18-?O8S*KXkN;@pU`Li$cFr=Yg9Yzk{p#Q=w;l+7N$Nf#x?o0D8HoBkF;tSHO76;;~!3 zvii&7%22;bcc*%89gg!(pUL)r+k*0J<-&S58MJ@uOv=-EYs@3}zfO6EY^3=be_#Rf z{5A|+^hgF5)lNlQt}4-fs|L>ocaknbFV7UC`~#-azV|h7g4Jt%6!ovm<;Ol|>IICm z+$og3t~-1L7jZ){FD&^s`m68sp!M=gV7Ql!`=c9t%)3@tU*gd7Uhqli1y@`J0x5@K?!6IA>+`YJDwdNAti(J#Pgr zF6gOji4F~*xC67#k*ZE3>m!#QA^n^#(6c3s_S;=~5tr|Ng?yY7=LcE6$@HRp zb}j%nYw(rr8X#iozNKEvN;p9{I~A%AuK%UqkMDSespU+zug;C*Y7<-GVe zsB>eQP#tE}*Vdmu3537?bp!I$ktJ~6i9zo05kn*Eu zc9qy-|EhKkp=T`ykx$|D;g*{bw4a#D4)Page_3UHSgSrX{xLgHxB7IBIQX6E4(>du z<=D?M@<4+9tK$bDuKA$|@;51clPovoXx>H2Q|trcjNfw0Rr&zvdFZ#uN4*@s0{Y;e zk*8Vl8~J;k8wj3}2jj0#_kh1#R~P#XFH)2GHMKs*LHk~w=F0NtvGXaPKiW|}%y3t5S(8!NmJ9Dh%6lliA2KrS7wA9cCVk^f+!IWZCM_*DQ?AgsjlDzn2e+Uut}L#*t^;S4 z?-Or-s=MXt!vt_MH80{i=j*hvTNUD!|DASD^iT+#iJ9>1=Vc~@>i#m!9}4d^gLK`A-I#bI_gSay15AXoWB8X zm^bvy{Ve&!-6H*+?Dumkd~q*Tz4js>b)gRC#jL$I$L6D51)-NELulTcB}Z5;!l_Q= z>=c^EVZDQGT<1w9`fIvGVcm(l%hy`HS>O&Iv7j-HPw^@PELR>Y!PVitsB_Y1! zB7IONPRk>d&&94ozzv{b1Vb(`g zpnHP(*Z_KQcJx%s&CK!8^JDeFb@Vyt_2fa6Pef&KCpaeD>hH z_Ee_&Sw0;7H9KZu9hoN!pf`m|U_AA@%E*)VCx4!Y-m9wI9R+;+=sAwHD1>=&KBuB? zMa6mK<6WBaxnFA%@}FA;ah(pIk&mv?VxCu4KCFE9J$cqs)VUft3HLf@0r{xt?=fGp z^r;cnhd0TDzZi6q<~`PHrR6e~o?lq4KyWk4dx_=Z;alkW+sfc9x!O|8RjKLVa;drD zmGzl*@g5~i*93a+VWP@|>z5lQT0Q$SC*}G6 zC(JLuf6&Lq(d{ZzKC4z>-8sYlg}?D^NqYAKR1Yylx>_GSpY{{uy_57$+F~CT+vr}z z?)RX1bb{gI1Vvz+)y9id&)!u#Ssy1StzUB?9C@mgGsx4~Jpgf41$Uey@=ib8!_B?( zG+zz2BOg7#-xQm_X;7Z>uU!s4jvpUsIeT=G>Z)i2=3S)(cCuU_yNmV3KMBmcEa)3& zx%gf|FOMZc&${)RYB@JMp_geVpm*BsNd(_^oBW&mg0mAVN4u>5$|=Z)CD*__ig^jh z-x-nsuK#|Cez7y2E397nWb5x&#dylzxffe*?(Br#^bM!;v`m<`TtqbjSM`2DeL7t) z4}*^%J-3QDe{l0DAI4LbjiWr*2a-Pd1J)fY(uMjPFdbaIsz>)>j~~IstQ2tl(ga$6 zRg3mR8F3BkOSn!)cx7=GK+hwr)i(6k>9%;a zwg>oGt}^M|7tMFjx|le(gDZ>cmW;;Xr*YsSv4oH1Y)4&i)`9MC?1z7GemUv%9N~0) zN&7%E-5B~7jWCZaeml*JSMRMhF7u}68YAerNe@_v^M!@d`%*Km4fH0o2iB>qbehJ$ z)MJ{L0^yh!pWKk^4RQ^z15HjwVC?CWs!mlrrO*!Ii$PYCpCS}e_1?%Zvyk2w@c zy!Hm-&q{<^uJ^RZys#<#$!GCd+(Y>E>coS*h)4Ys4F6Rg*nga&X_y!Fo-eaLVtVtx zY`aQ7hx*}tYGPkCpWD!Wb)YQr7m3rbAIi(A&^ry9r`hlEjF-vyTVxmXV#O@PRRMV> zSuP?TfvXxbz|Gu2VV0W;CE%l*j|68IrpI+NVzBn{`MfUDQ5iGS-6jkrxVgX`tLk^hoN>{p^w zAsU~)b+8ZX5}p`mJ%;Ls?YNBm<-XuV>tjx|g^$V82waUEy4rHJV-}6ug`_K9R`*>p z?$5eU_Pk$QM|JC6XfX6?TPUATv*5$szT)}R#BQSe%Vs~<<0{?FU%zy2DkRBcjaYaMAm+Iu5JaH8=>Of!>u$(jhbVBptpLVZht-QgJ}FN~@3$X5s;>7C8<&ONB>yuvDDJw99#(Iv zUL}2PT3=#*zn)evzYQgQx&0Vt?Vq&N>iN6`aB(^bKKxy8+y~h9X~Z+PfIGgQl+~*m zJ;BWY7xDOySl7;a(zCyU>E3w!G|m@ZZ3^`I*bS^}nGk|;aAL-TJ0GTjJAZbe{>l;H zY;Y}bm4C!c8&{SN0_VB@L0s0leU#;9IPE7U;XLsdGsmD`5B5;p=Xb#Q{4dBy`5Y&H zCpY{}gRYaUUie=k{jq_N)3kcPXwvV8b6 z10NN8l=2B(gt}sTQ;0u54ek`)+spbp+XBJG(8;vE)>J_Kh~9~mPaS&SrMJADX7%b? zKX5jk?gQ#W4d|V`E^t%#4c(W{)~;sr5nqeZx_i+Yd2*k>aZgZzyUFM6B-Dem@*egR zRj>oq`Sp-X_WPzOy?4^L>w>HO5m+zgQn%^0o%@z0Ui9}geD)3$h+F0vH!6emrN6(5dSHF%c}K(tk^k6t;n2r)fRE^X73*4doD*cZ?o9U$Ub!{S zQ)k`e7#r7d9j5$qpQdxRsEoIq5BeECa%(4W9$IM%c)-(0gpYU?I43D}ctWC%p%g2S31v&96ZE;ytlHIAxQ-b@4XftlgCbHm)uiO!_NJ z!Fk`jQQ%K=f~)9w@`-FW(Q+|hFXEb*q2%NF3!RV6BEb1KwZYZYg??7g+)9zYN*s+t zq(9DaQ}-+UWtmA-w;PYFvU+D#BDg7B5945_Z;C_Q?VjWl>rVB#FCoEY{ZG<)VX9DF zX>%3pMb)GG2|IWhKI+ZCJFJgf-<|S2{+Q;g^#EagoN2U9S#%`EQ|!Ai#B#N~5AtE# zwv$iPrG?gq|2>!T`QZ)n*ZG#jL4Tk$)}xb?o~Lv^zn##p9zt>76-8XNAQI<}GnMue z@%?J}Wc?6nx%JUs4^iCGV^Ftx$if8cBgP*fUZ))PH}UM|TJW}2Xdk!|L-{n%zsYj> z=PT&Vy=dA8++x>Q&eHFZ&$@kdzKr;Fo#jq?esCuvz=3Ye=xN{)^m`RqjQ+n;A2_ze zW&QUYM89N{Er{##hhA90U<*Ty{ZVI0hz!cms10S{<=lHF-u z>aSInn?aAk+0-}4Ukq(p-TF(N34dA5h52G#JE6|iFq%jH{4(;FsTDEKCb5wPh`pZ+3!Od6(t|Gg^N9No|{W@I}`S1c`!mM5|pAW9xD}c);=fmNXNau*DQx;rZ zrTOK#|A4=8T6aDEqI@d)f%B0w zry`%8Md9zvqkEScF$eph9$1^=`cH=5sk(Kh)n~o%1!oicVcx}7_igae9^kqWy>~L5 zYhoW0@+jh(5|wc7$T@xyt}GXol%4+o`h5laxRK6_gH+Eth<=YHFC3(Mnr9^Z%`bka zTV3noQpA1R9$aL6rFu@Sk9|-7K=&&)Edlf5w>l3i8@#N$0AQQ zh~6{nntQ2kJ+k-t)EU^9OhPr}Bc|qpk6ac{^Zvi)^qg3-GS-nP_6~KWJbP@kafLsv zcjpzI=^U5MpGH{D75%=`k^iGS%e=(7=KM78S+#=;2jF z_TXZO_16Pi()dj8iuvL{tyI=uYg%{8(C=PM@b<1&?_8$w`C>3W;v&5tkna~`oXyjowc-D5G>w1MVQ}Z#W9(PDDLoJJ!`-Mp_lz5E=`V;*@@{BPD@xqFj;#t?9mbbqAf zx)eR9=>2ywU%X@QNSDoLZ4~;&Z?2&8H@_2ax!k=P+?=L;US`%^U^$Ns0e4C_hhBzs zS!KD}Oz#cM{Z^<$_T)i;R~9!F={Zgve~f*Pec6Qi7vFs%|MXMfCeNO}Rxf(gr~H3P z0oS?Tj<;NS_9O240M5%TkA%NF?Qi@&-8ba9LyIkEd)zQS>S6Zp^u~r_Khb%I!AC8l z|EDtrt6<-gK8?Z626}&}@AyO`pRfy@vhtn?f9_k}4&oumAJS~{&>|HwcbII>EwsobS`h$yS7jW)4Yy7%fZbH9M zogI$D{>ciwnrON7EC)R+eIDyYdgh9ECL?pOtHY^=`(`R`Btm|5p|p(h$d~FdFwdGvJRjFPrbOzsY}8J)9S!g%7y6m<#^u z_Kz*$Q-to9dP_dqPwKwH`x)gm6LB5Si}2?UYA%HS-e){->s#%qzsCpTy#Z?_iKlji zKWD|KLtkMY;yRDIz~2c=#B(K&{S*B)$LV)ayvFayUo~tAA9<}L&M(=|9p{c&oCDnW m9l&^sXTGGb@&w!&w3Xs6uDHO)6f5W`MS=63b*Z%=wDBfxS literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/29.npy b/MP_Data/pose1/15/29.npy new file mode 100644 index 0000000000000000000000000000000000000000..a7eee3e58c194666d1c7c992b6523333799dd269 GIT binary patch literal 13424 zcmeI2_kWJb*T)ANW!1&%?68QEB|1?uh#EBsiJDP@6-4_+EMZ7O)Ch@W2_|86qOP8d z?z`HCV3p<4%Ob3{tny?&Cx5~7>+|H7`*pwPbAQg6GiTc(A%g^Zs#e$be}knuxR#S}Y3tkv^a>jMp(HQ4L#?j{wb;7v$nLcma9wWZ)qW(afeY-DMf1Q)Rlj_{I zTx}kP`Rk$4X?C2=&dERZA=T&JrW;nr#<||KMNEXxM{~#x38#988Kt+ds#K-^EdlFv+wnqThGB8ryfqv zesA{8`pdpI1xjADuY5-abTYHWA9kE4bJ8Dah&aylqpz*b2_5~r9oHW5h%4H3xMaB+ zaSU}7X9~Tv<8s^~e2(+4U)XW>d+WE*y@Yw#zk%#ll4WBn(6}W82#ms?-rzYM;d~voD)o<4PzcF552|mx-e}~Vr{afEyf05r6 z>nBTWpuU+o59{u1$?Mp0_MZmGpRZeh&#N^%9$Budq+y7hOYGmb&J9GWY9k8{+#yV!^Gv5YyUFj|Di2>Sl{xiEqC@5B%eOxu`k)k6YzI7Jfd}v z3d6dy5-VciKi3cQkexI*cWZ=wg^la zx8eD*j$&N9j?gzg3~okN1vf+1`dF?#=7Vc5cW|cLbIYA;o}_R72h9p%EFfBXhq_=V8CmR1k9aitTAd_;l%*q7|k9bfAsPPc@fdxulMrRAPv^=3h5 z)J+H{wn!IYwIIJyvbh`z6z`TBEE~Wuex|JR?)FV8hLO+Ij_@~^cc8Cy)w@)mktd*6Qlqcc<~ZPkD39Pj+11{snqj=sNCioQKV3 zK!4OgFNXF)Jz46B30Ci0$&&)(5|?=L~0vq1@qtq%*#saw!FaHsB~ z7|YdyMCjGpJgATMDUW#>_Y`n*S5o~8ra;ephf;l9hmwBzv>)M9Y6|%j97nw4)+v^o z>Epq5LK~|8sYPQg=f2y)d1NlC^U@v5ESJ-_fs6Kqq32r8v|N0=49+^er~FS9oDKhL zxpB^mm#Cv8c00kJ^WeqJftsO4V?YD4t0~YHc_5qS`nWgiglC?*AV}{H@NxwaD>gr3I3V# zjEDqx@+U9g6Fn_(cACTRZZ9k{X75ip++;$m&J;Op3)is_uVK+|3)wzxA)N$n)Q+q<^*! zT>W))7I=9&Z^f3m;4I(_>Ag!quj)>rb7?@xB&%26N74Vfd_kOJGGx+3%VptS(6hLA z;EqQSt;-yGj$sM@*e|?zfoY!B=hb)QlgA7Di{Gg-!1}Px1HjEiU+foFswVYSTk21B zsVVwF7P*SJ{Ci)-)obZ_!4WRBUt(*4o7Ec;SEU8bw*KO~FXVr}HtqN8UC?h#Gy0ww>yB{OYoF>tA6h;)-&Sh|4$cSp=W+dEu`*jRIFs*5Up{_4EhV z-_dnMUkYq#eR%I9#Jlu_UN`l}c`JenQrux#$j4MK9t8ac0nR!uqCC@EkFlK9-3=~> zr(#}gTPW4}^ft;f{WkK~%TFz^c{(Z+TJv@R^;QZl4s{fNoKUyw#rBK~w)CK2Pljd0N6w3#_ zx&Mjo6Yk}1V>#b@8F5A5o8aP7W#9B{u2R>5%dhT$%er#|EEl6EgPU3f;Lj=+YHK;G zmeX&2nu9y_-}+jA8BmAnI56k?vMp`bS=y)qwp_RP6oZ8x6y_nT&5UM|!pj^BB3aqmWujmzU1)on^N_8kkD z_lwo@88vCWp3?VrvSsEV%gw?S;Ewwq^trrVezEmoE?rRv`OPu-tFQJChyRX=(3>q! zz|D}aBdm|}58dy{d*PU`ihq@2Ilp`ndj7y2{m=UzjIutW1YLhkrT(<9z1rjcL|ixt zJ&RZcE+-8@omD*DAIie7z{T$|(94Leq;EI{^L6g^4Y&TP2R&!0pQmx_K_M({lG?) zLOpdWH{@xWk-rXmgLPL8d|F!{QHP%6ly4FAq1xf<=b6o&{&fGNoQlYY9de&+^(wdq z#ohA}`S1!=7FxZzlz=>SyC>9Fl_PLpr(2Q_PbrA?at`+yZGFsmy3Z5`jw4SsqR9&Q zKcPDF2!C*PqV-bCwfk$Tk6SfxbE;Z`<)Y_Ia2}YB^IuhHi2mV4=$tVD6A@SXJV4!? zqitz_?f91RdAkhrlKctzv#Q|iQr|G-vp)~GbEGlWS6zA1#nZ-JSRGshBw^q2#E(;; zf7zCNmZw24t0ekZ&U({%!m910^FO60&SBo~Gu5+NAFLz4KLS3|XD0DF8Q`YUkRH~@ z*>D5?y!8y^DKf&5r#Uy6@+t3%>j-b(ANTD#W z>yj;ZQf@(S%69{oNo&WYXLI(Bo{yxD8?B?uO61Q6uEM-z=`74kCe%x^dfA5brc_PT zQ+wx%w_G_pss4W9(2G)&wdG=o2i51`Z1ktxQY;vJ@*U*kl=204F1JKIb-#G3L(u?m z(Y__tMGWz!`JPgwuQ3bv!+QSrIrBPAdiS#Z;6IGcL-YM*I_E1co8f8mY){W4EGrfB zHTh?zSk9)?_pj1*Gx}WqS$v%3&i)DT*K5y!t4)Dj;dAp4xbyoqaL2D^*Ys??D4PrO zWyi*Y>xvb@`Sb?FPq~p#o|?FR$(6mq_4;SXldYQC!urTT9#}__upN2wOs`ZMmo*HB zo-fULZc2-x>&wA);7;-OG_Q(&*r!hU|AMO)53w#Ph1SJXcnHq6&^q$6nJbWg^;4u@ zL(jkZ;u>)N?*ee`8i{pRNB&uWJcs^G`eu#5+4Fg;!2fzf{@joHq)0IGQ7yWG^Af?B zuW%VN+|Em$8VhbNFC^~!xuf-Q21bF)`1QoEHVn1glYQt-_#x{{-9w7oq-txB$;bPOjbH;&2sklbjdlj3X+* z-vpKdXZeGWkNVsaoGtSpecY=^_~)7lEyGJ0pIos{<3UQoMSv~-e}9k?XHyn zt~Kyc{l??|*7)RqV8_+t2jDuY6TVL~!*)Zj|HvX7j-~9rAuQt8XsyOwazj z4jBo~Q@`MRX3G-M|8m_BaA)FrI^TTH;(Ju>x0dp3S%G+P58QV-7f+M_6+dvbx@0)~ zD=q*Rzpn-tE%_|VP2v{Pr*0%4{}7y4Y*sOWQZ9LB>$u)D$G(dBv*BZU{(`<`X<5UpkNmh5oX?&OALrM{ zcs?};H-qaH4Zua6c%0|#zl$i(WO`oH%|4;u)I0jUL*Jcv74c%cwe=V6XkH>tARnFT z?g#GGoATV^2hPT4POzWjQDtJy#J+% z_H%l19r)-=akMUX-%W!5i2~>!R`49wUCjvIZaFJW>!lMOW4`*p1(Z{tB)mX2>@3KSaM5 z@Zu|QzbE2$63;&z^A%M}Ois`CQ62V!I|(=8Ba&BBznKhhb>c&Yji*-j!nxr*pnYfV zFzEHa-Qw)H=7*tY#rmSoih1|2{=%ftx&+hjXim@|>{D6yAmv~4Bz)wto7(!Yq#xnK zFAt{q?mn@|`j}2XgUehY;Ie%f=B1_`qPXoMz*V7^$X_HYa6PCH>dfX=pKE>Oy~p69 z#zE-WifJQkTzTXg={wy3*L}JMK;PgpxMG{gzsRM&&{qj1o@*c0mjx##SiQcwiui{$ zB83 z`i-~Tc@1iktkoyY*ME&ydfEGvGR*3huAuAAP`e|H)W) z*{cHjN5v+Ci-I2151p?}hfj7#AkL4zq+jAn`r7H>eE$oaZ~E*=0zD3{4@OH@4 zIr}~OM@Q3jO-6^IANcIwah^EuJ5!(Yu@~&;S)fateU-=Slg~wk{lXd!m}$AGQxRNr z`8CtN*XPCvd~U&0{H$?{S6XZ98D4(XCQBOX++aw#8Z(j^9XZJ$g^pWb=M{LVms!wng z=v8PxoDbq7ohLG;9k^5HdaRAhJ_b?TmP<)LvP=~6e4QIyeIU-C_6f7xMDImh{dqX_ zqIU{iA46w=i|{(&vcsP4R?jDvqx?rM#(Z@@A6&=P`%jdoXBhQE#<7*quSzCXYYXXo%FjT6F;wo zzbFjOcpnF!pL<}sePy$A{$EAp{9f7O(9-m5Y#tm$9azR@#N{u7hFH$qIq)%s=>Gv6 zmwCz7M>4t(VT0&3e2w#ph4pc@{wm-L{KfG! zte1%Ci9Y8pIp^*3%gCR-6sR+=-v)ZV$OoK1ERu-0&886d$_?&3^@opYun%$db2rMT z%*=4B=PzT3H>(WJ^IVyRJPXlvL{u&hE-pqPuKec+{Ih>IrT$q}HOcDPWa=L?_-Akx zvy;w&N0h(wW(c^meh2m)n|vQ}Wu9)t>n@*aeN<2hs>2U`!1?k7oQHa(JGj{p1}*~+ z%(i;@;uYyP52SN%pzAi|v$Hn19Q+u1R;fA8F|qLo;+oW|xKCrN#fRUF;B%}L>gF{1MC;h(Uto)OhhDkS^SiV2{ZCfUqHdDUfLPSWcuj9<_0Hg`;H;_# z)|XYefpb{a&$-WZ#?blfITzn=IK`Jj&(~1D@kgO!t-lIyOZ6#Bzemf;JC*g<=V;%l zgE{~A;^~U~dFj&7i)Ajz$B9}y-s*XlAGj%g4E-YmAEQ3vA$>o--ewYOXr{Qw{KivHh5`rRIAxf;|6`E$?TpcijG|HpFEArM?#dkxOkB}c-iIh}93 z(*?xUg%8JD&dyXqeN2aXG~dk=ah{mMBjKa|%K4q{L2aCS#@B=Vi#^A_lYM*5vOZ4y zTgr2EF8Ijc7vYFoiN2>YowA_U^;d)!yS#I_Ypt|i!0eAF~QPA%y ziafPwLjE7??Xq0W*U&plo}kXopGou5vpIM51s8LQ(slp&7VJ9_Kb-iht+Xy_x3Dfe zt_!%7Us0cjBqdoN@k8_4UC=-{onv_lWQordFQ{t^8f$)zgYp*rZ4qDC;I;gUi!pz`~Ti5r9b+N z-MWVJ+?+kt%JvCwPTb5ti*wtI+F!!Tjzfjs2Xnf`Cnd^)Kt z=lR3vJQ~x0&fDsnah~Y0^}wAzQP`(!%F~I6TZ{5^y3WOZ=c}HDTOSdqC~g-YaHr9a z3lX>ezD)Z$74-wfGIG(Mugn+YK1K@8|#Tk~X_q!0+N$d-M6*C{tm3oK^ z{6*7F#Iwqfzta&u@kcbaocJ_D=g+BTi>$vqR*>dfeK*a^%O5^wP_3MK MjRfb78pfvo4<;&rF(Be%bOK10nN~E^OU{ebk>ueS0kw1{B#HL?Zv7$k;fbFYtG-^O3lCbnFsKX zu897#K@-lRy+`WvQ)i-o;=+@crWXYPH^oq&2;F+j`_*1UDQu{=U(;Z8W&uc)%xg?{KO z<6paWo9iyc%hV39a`CVaPH&!^zl7%}d7&Qi-6=e;yT{yzU&r6yx_0KVjGp^53*wvP zu6SP8>u}Yz>*57bcfN5U)%{`))InCe_{O#Kx%51%;Ddg#JU8Auf40BFMb~bNUPHd} z^T6AVoA@B~M?_3P{-VKR#8;ojJaz5%>}>Sk^sKwZJ+H&BD97csR(Q^Coq~2&q)aUQ z(mkE!UiJ9PPw?8T>R0#5LoaTOPkCj3|6azux1}pl9fvnYyWkHFLift26xu5-!Sj4W zP+F0qHx>3q|*)J5&tD2$I-fRu(U=OuQaP6Y~6+CYWrb{PM-m|O&P-nh) zaH4BB>n7uQy)m_YauK{Y0hMl|{qEAo$fwI@Ja3<8mhQdW4 z@h(oisc+F9o`vRROlRaRGhK~x?WWorTDM8X?>Ikk^wDbY4R67vk0Bn|0eb7V7Tomx z0pl&2{t@H!GUhor|2!Gvs1}u8>o|Lo0In0aKyTWTzwEXjTy5QmdB^&6g}*9Q9`ivx zx&tnEo*v`!vTxRr|E3n#-FyAmMmT?+6hr=g{?{DmMY7Fz-2OR?{7+<~b=7Ct6vtVO z?@Z+Q(2Iao~vdbo~lBN9*pvPuNdYzru~3 z-oA(i=UaM$^C_8I!Kbwk@u7pj&F)o=;1iga#%pP5;--|p<7&bO^8c2Oe57jPILkZ^ z+`hPpakSZeM>~JjCJvnabq-wAY&+C(K1+a`328AOxW_kN$MvV8#3y+Yzy9z?=(9XS ze|11C;;PrPl&8~=lT^1&BdmKb%fD<6{wgPYc=zAnqpF{q;JETDP5avZ1@N(}Iak=;;`Bblr{7w8B>;t0FKJtl<#=6!A|6K#Ue?00S2H(bb$xAhJ zdpe(gOF(Z2*QfP^P5T3Oy6S@VC1%A}%Yw1Nn6HoBC5mHc@atQeA-QYTZZg5@XI_9l7cAtEB1#McRMT#T^b?4RPqV+YbWE+cNv9EXowu!PQ?KE!3VvEX7bom0Hp z1Nhjd^}yMa`(e)CCR4vmd^d3Q~H*{w;$@$uNr)ecSZQ9J^8S{)K6Q` zUy*0Q71vK)_x>dJYAz>%%bC+?9i{0hosZs8f!5cJ=xa_VhV-R6FYf_=b-F9&gAM6A z-068#F>u{E2zs-%FYP~zU&DuGx`nv1_f5p^#{ceA1~##e|M;Cc?-6WFe6 z0}=mX9P(so1nR)@{}2woBPZg@ewXN+EqdSEac%BGuXl%n%l{UPaopTU-LJ-S;E9`*_<@%=v?S~H^uW(#ss7Ly;Eve4&lfg}BPvj%29f7~Cy#@1-4@upJ@63h2iM<;g?|h18 zf}SM}LjHXIfndkYnZe}mI~(n4ML$_%a=TtdHu=Oe5O zHEKKJit{UoH{QI|>6zCw=q1~ZeZcU2bdDUX`_Q$UcNyWYE6kYa-t#g?$mhTV%75kR z+K!8tkBL7xNOdl~v6tgInNi&)tphiQ+6@6e8314T?^tkNC3-ge>)(Qp`LiOpC=}e- zaT~Y^TxR_qTn}s8Io{<{c>=iIlm}epU(n5Q(X=hNdO)8SSjXID9aj%&A5cO5(3@MM zurJB49#qGnUvLj$rII(gxTaha@~@fC+CNd0Ry;aQX1K)cZhbKj>9l)=0zj zLe#m7{Y1xp1~*Sqzn6&X8s_q38IQq-HN8*k=w4)N_y^H?(dHnX7isdKzbxbnd_u=0+zP4Eud`hOyljW)NZRF?f;J)e{N1b zwh86aaxb`8a3J-+Md;uY;b4nBj^(|B#)g#OxHL0CsJFU8d@TcMt6M;zt}kE~5T z*-NATto`=(&PR344bHbW0@r{N-(`XR}!tN4_8o^F+S-g?MB}jJx{uRG@!1X@9oQ<|9vD zA_V)n3TS}1s)9G2BQv7t^JdZg@DZo(A|Jao%~a>ZdwvJKsZ^7Ee1-;qf7(s@%v&(N zveZ@dSLHc@^<~}%Q$8)GMWbIn1EA+Su8@9lBl3U040_wZ1DsDxv)1X==EKmd_CYkC z^ZE{oPvJVYGxA|ZVjT65Vc3^M!9dD0neMlI^@$j#XPapq@i{)Ir#$Vq&~bZcCiE)$ zAnKsIduhi_Y!+~N>%eu-l=r++!I9AK+lhQkcmy~Le~)qG*$0B_FVW!o=;I)#7q!Ze ze$emWYD`Y73;Ey!`l~L`Ibs@@>;nJs*Qsuk^J3mw{}Iz%d~>=YI4k@b{pDWM);i7) zWrIJDdjh@6_GldVi#Fh*QF^M+IR3Na_Sr(x4}1i@`8m3FdtHs(bRF9 zO!p1D{QuqG4hzTiW4gcDkRs6Y`^Ulg@j}Q`KTbkiRiMuQ74x-&iKa}(?L56&sO zXd>#&KLwLMtSiL<)ZeELEJR#2qVia@*EkFxv2+$V&;DjSxJm{$`~AS}!)GDj*UQ77%}oc+ zf=5O;Zb#DZf4t)qaG5I;{Oy-Rl;_+6v@T+13~+ks6$Y-GRwLf##V_#ZFDailMZk@J zHh*x>T!?FRLvVIsg>syEdJ`|y7jbpcA2@e-nJ45kFdz0Y8GqIfJ|{{;uNSW&|G1TN z9hdP*;4<5?mBY1h-)smO`I&i~QGA#C~FqHR&FoqE|(lf!j_+X&;Lz zjr)~d;0ew~#uNYbSL|c*gaVhb)xh=P+c=lS<&ESsqaU~mjG5&8b-)mCvt|$Rj6*^l z7xA;e)vdkYVsjtNLl*R!^l@}9o1FfmT>flrVQ{%3GtGZFWVQ2QX^5MmBhfFlW6B!G z)z&_!g9%x6%{{Nqc~5t*I+@1Z@T1rtaU9R0_TZ) zu})Q$(NyO(_b~s}h@w-RKdYD(J~n(a@nci9%g3nu;HF?(u#zC~o@$ z@YkQeVBWHZw2p+K@l}~8_H+JvOC!WJ0}`>`b^oJ*j;raR@KNEfQD@zRzISD{rhu~% z^!<#j*jc%_ViT=L``v5!s16^eIMWZL#r;Q*I}L949fV%ZTtNN0 zy`S_R_rc}nvt8jIxCdN}i31mYY5Tf7?aMaAXFQ`i?@eCp^!i>fxLLBD^oQs^pj037 z-(kS@rIHHz6?MS%vTNX6oWr`7oBM-{oD*tw#t~l1|+1qpAQqQ6FQtdMJYgy*Uo+-_y z!(^;?UGmT__gcmdeWMZD?)c$LV(yek}{lw~wj)EuMk)pPOG>Ilcay&MDip3%Cu5=;N8fMHubF zddgDF2ixfk>dDd-!aV0+eJ(@Sc{S$0&XL~`%K!cmtP5Mz{Nmz@ z%YP6rxDoY~^M7vW^h)O@-svZ-FLvrj>@#9@PU4Lw!e2MD_?*iJ5a%-!v95V+Ym6g% zk(buvhh{iW%{Lw9{AH=-;Ii5waQ&u!wByW=&Nchk7u@D9GTw3Vu|4#xR)_2Ey~%n9 z_XJ(4R%)I@abBpT2SM>E?fmC~;QHMZ)QyF&z&bJ;Zjev59MId6<5$9OdI&hL=?Sh^ zT%L!xy9K!2x|s9>Pvaa>?eCC(uQe1m>eCpfS2yQ^tLPwbF)Y~Eal4fE4ST)?xbg7* z???*QU!UWiCR0N2J_JL>jynsMc? zQ~#gp?bcwIkGx3xn96XG@~_-;IeccsQrtnKFmFxO&a0f>zDvEYW-g5VjXk)w9y}-q z#eFmiKJ5GNw>r)@Soqj3ld#^|Z}rwWZt5QeXLVBVC&x;{M>hLN^$C`A4{SJ}=0n$v z!~-UwU$#m_biDJ=x)7ZIa1wFVjzL4f^TxxUH%UVM)z;RyKj>!;0O}*Rts}j#$lp$XJKwA?g6ep?p)%ytT&war?kXpPeGo-i{^vO^%L^p`RWBYy^f^w#hj`}c}^=j!Ervc zHR8&2l)vda3*#%+uYf;$_!j$&95`U9)3XSgKl=Oz)JHrT=I^-8IU7DIVJNu#`<pKii4sbGeGptEZ{=_KLlz&fV%Dt~s5a;%*Ee|GO(t2e$G$^|w_$T?40VrD+t&v`&B zxNHf%z4DIgaOoY!g`F%!KCxS|-qpU&$WwHD1I`YvhQIh!oX(etxv-A7NV=uiAP{a(y(rbT`16S_C@B^{6_`}5{hr&kB*o}jL#O3O?N)Jb}slxuLRVY zNBq;<`S9m-e=yzefy;FD#yT#N=$21~b(DQMFk*CeN1pBZ^NB2x!Ci<4ssjOFV?(jX6 zsBXiuVBGn}IfI?QyhNXa%qTA!uOaUhp7V&Ox(&#Q`iLe!^mcmj^b0t#N2& zz1UHM>Y3*Pt&6qCq~qM<1N6EW-LF_+LP_VNwhe|}wx<8ut}%-#&$>RyQ@qXB z-|6N1!Ni|FK)+baEYlt5H+sT{{kaqQtJ>XgzVq`Xh&QDBuzi~p>hh7#n-gyuhH+sh z`(uAF_a72}eFptCL*lj5iw$Am>Yo7U?c=hMjsLB1^3;T0=kUh-(LKELJ1$c{Uz_?LvF{lf+ZjG<&qB|>T?V%YD;9U0_sB?f z2)hWb)6(ZSSwD4re}7NB?dYr zQ>y3aI66oE3&4F(Zl&*SWa4XZQStp$=fnD6pnf&}j@F~f7U;OxN8eLP-*3>XJ3crs zYzexLaY4U#t2rfxIz4|>jp|u3^*-j4*BAcjzaSqyE+_n1;>ul)t8=u!=}I{;A6S8^ zxF^f-GVoC)8(z%Of)am-*vRfj?MGP&pD&G0{rvCrrC;DAm1+8E1I9pr~dOQ0g z^i1rHaa^>b?`_1X7Kp2IWt`zSKU^4k)}bx9O{*~OCN?j)**6TF`vlYd@n~O@H9Hj{0Syn^&Uz zMVj|B=>O%_`7i~3!P5FUnEJb6;A`xY{Bkjx_xA^3UloaM@%@aPxS#ZeX43u~6^#9y zXB-Q?_Mq>*^|Z!)5Wmzh;$>3*Um~=0u#2mweJ+^5y)_Gw*)anl)w5-kha9`}O$VGY6Z_0$fLpo-)$U zwFP%=<=x!1E_d~wwoywmXUQ$}a=DPxBFj?VsGvr*HgjqBE`%jfX_ z?Oy@Ln5d9?%RT$kRQ&EQ`^hh@yp@{$$##5xN__Bb`>A8*Uc~prxGdW)&VE9>dUOQs zd}uJ*dAV4$vmIaBM>e=)uj4%;(5_x-v^#%LJG)&7@mb$=w2L0k{hHaNWDQX|OeYb5FL3BN9JN_TrE?WNc#C{ri<$!JH zP0E0qmBr6nu02lE_gXox+jem!gvL)T!*zOQ!V9Yt)e5KCcAYlEvEO-*t*D!`ryIsW zmVW=twzK>?hk-_oMxkwHC#uT0UxYb^F~UHm2*(3ABp_RrZ6ADOnYt%eUZq z?lwKAu-BRIZd$HN{`#zq{T{r6t}in$r^x=!T+5(cKMlEN+s%+$xL(!ylv8AX=amOT zZz>(Uh3ij8;kzoya@ls%Zz#2IYH}IvoA=*E9&sDcEt#h~UJm#H^IL_MSZdpy&95+DRD#P@>&Fj0U1zxre+}+L8~_)s zCq`MWV>W`Dr7W~D~{ow46b(nX0 zY<2jv+;uP?_|;3`GJT7myY*?bnS9>1yJ)|&hhB@UKl9hbf0>*KK67@2>v-sNZOBN9pzZ&w5J zo#ojQ3jU!SxIX0#E-odJei8>)oA=WCNT`JT<(8`8Vsa787vZxCdfB5o`5a$O^QdU& z8P=b@euI8#F^*aw(WwCTDD`BR)w6&XxJ+)j$a1INpYUNlbD{paT;qUL%Ri>mxRe}7^DQh3^NsDi zLHYdkA2@4vak15_%MsvCp{>MMMPnYa$3EaHXC9hwoxTdSdRAjQxOrF_T;49b&~m*e zjCgtraJ@CxeDD>n#K(SvdF3n{KhSdd;1uynH7S43i&&>@T?+A|5m?vidJe2>;eQZy zVDmF+T(*VgbQ(z>^6@_bf2Ub7A2I6|{6&#l)Za!40(|moaGexI^*_@P z+;m$-aVLd?^I0y5)?af!__NFa^h@r)xWxJ>wvKr6Dsb&vGtzQ)hU%l1g~CVe_v&Lg zzxxB_`QHTcU%SB@`ehjux8Pf>cXO`X7|WfJouJn{C@%AEh`8*{PUP<-zK5QFRf_hj z265Ei@w3S1pWfK7^t|uD&75P{SLM-%KGxqXUWT|Lqy_m5{yo4wo9j7#(90(UQD?Tv zZJyPOfaTE32hpgf?&34u>P2}^a8sudjhERUWx48liSoa@3+ux9_hY2>k)79rn}T2V z=ll%oNOtlEcWzZheZ1kbJr>MV)z+1HF0L8C+cdiRyeMT3WrzKMY)54FflY z{V;!=*nZ%$>`?M|4MLs8$#8J?$_@VPgLe$_Y#T-TpK6o-NTRZwi@l_uSBiL96%4)C zEpT2t7q}_)aRGSdP4Zc=m+lKE-_EpLB$8f?;o#~-bIe<(#BJ!6#}W9jssk{NP8R7| zUq5i=dlcjDtox$xK>LOYUl3~j)n)3JGjjm>yjOD(*CUkjbS8pJx6gr=^RPMKCT2Cb zxpM&f4|_fpT%=r}xMjyfFCuG#J59f*ebQ?J=}R`od|;kFsHdFKdAobIKRZI_6P8)Re1=w3cm!- zo9@K8n9hmB3#X9Cwd!)KW1PNhWJml`|MY+OhF3eK|x_BTE4-ek+!x8K4?Z>$X; z6(BJ#=4K-Lt3>#D+fT>;>>T^4&OZT{cV=T9@nd|b^^x!E)B5sSk_mlcZLBYcc~YJ} zo|q5jYz<$l*Uzhfvk}vv*X~uY4~W9A;3I}*Ag=zQHs%9&IS#Ih_QHDCSG_QAMJ?I~ zR7OAC2bu3kZyR68B;;v4+))SB`f`ZnrcVjPH8axbe(mo&6!|W?2|Wu51b2!J@q^xl z)}#FS5d8U>(wGmj{Al<%-#tV<#qSGZQnUTp%*j-r^kY>2z{=P+bd$fqo%qe*{Pn-s zXVkSu=$GD_25v&Gx!JgS{c7TQg29z%GcW6Jy59je%13kM`d4iMK2PAHI3guQo1k+!=BCZ_j8S%euGR>ILrzuF8Lp^P4IDTwCrO>WH{1 z&p^umWQRD*vmf}tMMeYo=-|FuxocT0Jj!jPe;;8tumAReH5&MMG*D!Kb1^s4^SF_sJ0PgLh;t!e&8 zyuf;A-TF{}hh&1wch{(%Ui5s*pAV;b+kNg*n~(OQ^MH2og!#G+B?uU^+}modr1EO&N{ zLR__hA&zX~iTi>YOzTCa97cb2RTgLcb=EGbTfZ)t|KfU=AnU{9zC7;?rgMvVpB7@d z*s%qAlWQmR>f!;^nLphK&VBQuUvkq?=v9Fg#Fs{co3C=uvOX+*47l^CKYV!q@iQ$~ z!)Slt$B3KC3DAokUC8G$<>}n-e*Gu^5x$fY4q$k}+{@#OiZBFl{xbb(9kKTPzSs&Jy-m~ke&B@2@ z{Z!-`yc>GaHyPurOXVMlxbu!;y_qvX$VVQ%AzGoNepazc8mOG`3P<`I+!oJ7-({R3Wa)0UXAEDsRo%vX&y7*Y+ z$wo(l>!>7uHyw+j{_LB#=&$n6kNIzkB=v^A)MaoHQ;gEZA6ebna+OgJ^^r?l!1;-=mX>ob7aGSL&k+VL+ZyDlN$(u| z^8DM{4_t&zARmui@ZlTEh9m#sY2eO1dY>s@ja_TGczq6B?h1w8IoO=`jjr^5Neqa_ zcnQBoKDJ-ZKlFaXB++?8H6GCe`84t(|7GW)mv`S{-w+ckqt0UD3UFo0Ote1gQ!c9i zfmt*kif#YVa_*V~`;R>Q5p_1*BV(*TuUzI1u3LHr^NQtci*pO}sRF%Ixf}A=k+ZQM zvY74An~W+K;9FcCU^?axpJTwy^M#a8>uocw-Z}h?^hKtCi}hL9 zAI!^X29Q+q_|636Ysr05d73oaA%!FK6?LzoxL_aSNnL#5 z|H_s0?_%L29v+Uc+(~#0t{?shu8wnNDxCo{Dwc(E^*!+1_`hNjGOz)G~%1P_2 z509$^y^i)lzgY78SonJkr}`XRn`y6i_G}NfpRBs1xJjwBKO~H#{j**u#Vxu8KF-5| zORSHKr2dLt{b(P4ABZ|Q!VmsjWc_7*6+4CT72ArE&x=@a9v7gk5C7v9@y8y>hgE;+ zV>!z~^V4ZI09+IpFvj}v?o;7!N>w>;zl-<)Z9mmS`o9%FRuJRMS}#LA&1^6DE01yD zBIjVtANAoI_^79=P-hd^l;-EWkKo$vDDKz%T*qYV@3i!$JU@I*`%Ibk=&y_uqEwk+i;e z@qek#joV;eG5=uru!{8FRW7*l6XMof2rk^7!pC{>KG1SLW-U1H{pOtY6*cRj4&sw1 z;<6JjQBRfUU8HSi7b3_%dN{aKg5KZCz}e7?tPU6#y}lFlTC4JKj z9jU@!&I2cY!u)YOW>P+fzMMDQn$z=6*c#$*qEH|9qzKlFXhr`|muDMO{XdPv`G+4q z4ZY}UXdG8hz&sI^_7ks=MLZ+l09yxrZ7=ct$>i^h^Fp45dJ!Lc2X&Tn?nPU@8Wad_ zs_rCx)3hm;n}2D&uz3uq1ZJQoyxr!VBu9`*A`N}m2<1TOXBz=*#;Cy5%{AE-p;=KzI@3<`pamUj*>Lpi^ z5C8AZWXt9Hm83uOhcyKyY2UZg|rX!x&0fyk5~`A3`;{?=c>g0SH*85|DNZ;)&0|+Hm+Vu=X}vA zmc~6eC*}{UJR5q}VGy`jR7+Vs8&B^a^yt~(T9<=fzoGuhr@4`jiLcex>eU*$Pw_c@ zz@3Tju^yeav=58CD{0*wSc!VFV-+yZxfzjR`y+b2ZK<*Posu zPtoT9)`cluqrZ)7)H&*Jkwnx}Ok7#Z>YeY(fSdD8X+JzS6z62twG`=hPKUp!c#NLE zz9DXk+{C&z=?na23uE8dIt&#h$_TRjVHPI+$e!TmxWdxLr6%pXVm{T$RyR1C*D(yo8OM_exnJzH2D z`-4ge1m}_M$mg5!OOR)S_LOI}7;vXt+&s&jYB%67*RBUQ!Goq+u5UyV&-5ps)la>V zXR0T-y4jKVy5;pPH_xBoyeFFOK^!2N7sYxsH{IdSf3AT#@GWAl%}14M1#b48LjG(`ht=>owiR*B_x?0*W4qHnKQ{?n zjjM_MjVJ%P!TLC7ic;Ks{^XM}aEs+^$luWG%uuX%7Tzt+a+B{c`45l7{Fkl6;iD_O zr+gAeIaVjV_AB@dD@fdTCi=y9u3wRA{cA;o%ao%O_X^#=bebXmD*vKxW>>6+-^lyW zv&vu7d~g|o`KBh(eZ*@K$My*6XEhd0-*ZibEJC^eNo#unQL+>YL)bp8E&mPkK zMSN~VdEWosAN*i<Z}Zpv3lpiDCl{=4OE{t^=DWv27TEN zeaC`}w9F~so>U+91MLqo#T9zp?h$-S?w6>)O1Mk+3s>6T z^uUJD%b7pmoF!X>IN>F7C`-li$C@yad#v6KTZOd`O-YBp1rvS zy~?OY>q3Sm!Y8pS>GwRR{-!Jsuv~4Z2(CWFW4+7PRgtGT^c-BCi-$jNJsQt7Jgykl zk#qbW^{eHH1jPMkBJ|?W9Oezv;9rcS>TRq3FIRW%td`z1v)p1*FC|VrX%KC zz50{R2~Mds;QC2(=y@33uSJClsEo7yQGb=6ewW40=0@E_ z#lAuC*nh!(^-=xl{9xK$r}@+DEbbS4BAqjt*G9^x(b(SB#|%wHTppi9 z^Te&@FV@GoOut(bo{z}CjT`FB<{hW}r4Sbn_Ki-_7(2SdLfFt1lC>u*{gBK^c-RG;rN2U%&UFgiO*P;5zdr`o&WYVP1*yUhq*qDVSG$+DDup#GR_(rdc5JR9=09 zkxzOTaMmjv$=*5LWm_O2GTN4|XeGUP4+P=ZQCr)K_uzJ2Yo%{=B zfa@)PG`D)$s37t;=gxu~At%D;3XQL`@+EPe56|6tkc3`0Ory9T$}Y2d9iN-(v%Lc5 zCp#aD{e*jTqI&N9@;l#EbHWifnBLpS*yp&9uswfaT-d}vktbhM2tM3<)hw$Q8DHL0 z6=&e8%y~b{c~3fzN#?*uS4|jidG_zoslR1X$p3SQH++t~M?QQhP=)LaF#j}-0>?MX8HgB{okwrA6Sdl;hw^{FFA*I1lr$w^BNDZPUN{tS$2NN&%I{Y zdBs=d#ymEI4`81cyB^N9T=by(fzWQ)xApFaA(lH6)?+_)T5iBTECV})!{=BttRLQ$ zeh=oHo-*Ct#)-TH?j*iO94Ba}FZ3sSQQVZrXxFu>VO@(nN5I+G9>kxN!E=p?V3hyu z3y7;W1@^c8{PhHI{dWe%nc+9Z`s;1?i1Rk|>0dAuy!a^S*kjsfoD2DI9#gmW(LU9Q z{y!^ToS$a(PTGB1x0`R`I^`LPeSkNo-$R>37x-rv5Kp30y3Ci*XjQ)0d_G56+y= A-~a#s literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/5.npy b/MP_Data/pose1/15/5.npy new file mode 100644 index 0000000000000000000000000000000000000000..dcd5bd576c73c102ef56cbc633198f3a8cc7e23b GIT binary patch literal 13424 zcmeI2=Uz>cyN7>YTRS+$kAg*_aD)31eMw_p<#o!!O^p?dH!fXm_su zg?615gLYNq657>TY8M@Tx^JIjE922F+)~gkw^6&9k{|t>2REp_k_SESM*Ta_m)*6` z>ypK<*iTWe6590-)UH(vw5um=seKMTFa5IGn_fr%a(T0>h-1~OR9B{t+W7zCJ8{Qy ze(o2HUxuAHZQErldftqQ!uZ5geZ%U+oi`5J7iP6jJ4gK&?Qzq#oBS7U+jg~_+L>GG zW6NcotUTsuejLvye@6av-L1E5yW>nlKm5_2KWw|0NzaSQBcI~=uJ``2pSp1sW7~Db zO5kkh;1tW*%j{?uaqn-~c5!?b{LPnz;O39buc7-==bUY4Jr+CmyNXFh-ejJ`mIc- z?mx7jvRBQ|_`Y!EN|)v7k(KOsCwqN7Z?=1*U3`0LkLBue$%^(<{J5Q-51R0m$oy{F z7o>4+sPnRE=69Am3D5I?r++0fzseyF>PQ71zhT?ep2v7zM6v9)T?cqmf8K%Vwq4dp z#CN%Z+U34c@ORw$U$yO`>R%6R9A?itJkN&u#oOXQA}o$9+x&N$ny2E0MNsDDbN!SBT1NtUy|@4!vp{ouS+P%L=+b>OmA zS&~)RsMVMmlyVf>mL$Pcl^2s{8i*nR1ZZ{ zz@5MIjPihF$`(3^rFvt3fu1VxSHaHc$aM(P{)v(dzKQGrs%XP*iWx1(Y z7Jr!#y^zASyWx8Qta=~?h!U4ryOJ+SWCyRDIy^Yf+2 zzd;~4-?;;N=E=czm%XGPT8rY3tC+>9o_N|}=;f74;BsOj)j{q1A=aNgrFl_<12HeM z#P=F}-Cr25X*3#KPam`x@jP@#U9jkV$d7SlOY*XL`1u0uchzcRKh-P8*06eWb~(6M z)d^e`yxs)7K_EEGCc))^QLW+gt~9vmSq7X{95UW=RrM3N{PYR)sD{jG3%+6^=}TV3 zJhJDXg5W=E2e{~S1YE~P1z4^-wgT7Z{slJ|n+>p>pLPdV-8|thUN8F2`m^=VFkX3R zHR3UI`83O&_Wo24pGIMwF~1_!z?ZmDzaxHw4{KF=61b#&O?;Y5w6)#u~8ah9724Z%ff8vJF|n=zKNH&tj}c9LG)|DmAeYU(!f zZ*r9Ur{qSQ&hGZmvt@ZGp8b1gSiS7?1##-|?%>XXmE$efC3=GMlCv*)Wqx-qzFlBH z^?|1Fmpi-Ykkb8chv9c801;5c~i=A)-(zJ&X<|s=5mis z=tqx&KRY}Dc`&PX%(r^kUlX6OnDSGmDDuG9QGU$eU*W?ZZfkQuOH0@ zPip|K{yu_z)!f`l{{7<7uR33ke7f|S;+5I2b7dU#A~84eEdJOv&H9MHNpBX!(Y(Ze z4zYT1wIBJoRRdSAe~h!77rH|6C+(wkk&qT+eblR!l((SQw2mq)m}|Lt8w#$9W$n*9 z_RX|hx)eB{JD=*j#d@qeaj+HfhhfO4ch+nv0aNR5g zc`!xil22$o`19f3@rb8lEb(I1p=TW{D$9Ab-QZ4>(%_;{VZ>?r-UBxWX}z2OwqRaZ zT{=&7z+S9hcC|~W^-)=Rp}zyy3!BhBu!?*{>m%gXzSj!OudXu%T=Yr+*OmHVJ?f2PNk1+X z+;qtSy-BG8?(F&n^T-m@uwStbjZhD)Vn5_lMi1WRWyf2B&OzNa0$g?U!Fi{T(7ErV zN%+h8F=G&CsiD;GuwaU3!63||ITPdu(;uy0J$%fy3+PvGxP^MtWls`6^b4)`hJ{hLI)e5Aw!I^rgAt8}*f_P> zi8$4W`pAPx-4|)O6eTEc6;58U-_5ZgiO+@U(93#L!1;v-V=QOeT9ZD&1%L7A66(Rx z1Hnz&1LV_;@sD?9%Ej6c_^?tg^y|c|jI}4_ zqt;PfvD7f+U#-24b;o`C)3}l|=>0lJ&{o^89#EM24UD2Z^eHw1@uW-#SIY{)$7#}S zh3!|)YDfLv%|P8cn|v2pJzL(E__p@AzlpORNtO%m_UP9c{R_qaqz{mNSI2Sao2M@rxM=!*~Lk`2Ahb#%UdbRT|#ed;f__LYM7r87SnHO9<8-Vy( zHqR-RvxdPGk9#=s?A*Gx!1{e6x!k-2oYif7V2kN$WJdiCB7?Q(Y2$(HjBiqnWIl($)9u`a{|x^L^+ ztHAa7j!UgxG?@h-CvF4w0dw#y-3PWeN=N%%sxSTU@&x-`75IzBHRL+tH?MnoTkh=4 z05|bF!S&L{eWCv~2j#740=VcqeHeVJhaqnE&oI)D?KTHK9dE-&=}O={dwC!5v@PJG za87Vm@o_7cjc0Ed=_}_W{jfeAEa#6qf$P2WzQ9HOO4dhDtq0DZ4u@X8ek?6#6Z0V+ z)$kqeA##>SGW6YBL+|XlPyQS0BYso-3yrIl7tM?38(Qy;x`4}!OW@|?6y#H-j0AUL z`=YMQquy~gPMMeP1Nwe2^v?BKIA6@utb6a-2Z)F5)^xtVUWa&uq;+BD$IM5Zv0uPV zY81`yr%5v{S6j2*6L+P9%g999-xkt(F~|R;^>UxBvwElLSBR5eml&_}@OOX9ruP>%GaJ?CsN@Li!!)fI5wH*A)xEs2epw=& z%kp~bTUN(^{5IVBu%?s;UMTC{k}W#Ia^05BWpQIC^d>Np>NaT|;#Bfm8rQ%D(5s<~ zi0@beuKR76V14-9KpIybKlq60WkW2N?zHcT?OFGq5AC2=mFS#O!`edcoN~bRx}5NF zLjT5nMm!sj`vA|I2lFCbYcO8%An#S1?Rci)45YDi2NrOqIyoMOZToW zp%l-qa;Ot0;-3MwU-mu)++28xICZvp36|?YOTgJ5Gr-l$Y1k*3J`OIwbRhkbB{(mf zihamG-!nSDUS^=qSwdaxGfs2_`sKqPAph)PHE?y%o%s0=<88n4Fva7Xt^+Pk&Bb^{ z2<<>Zc#qJn}vDgrAARa5d*KlJ-_h{xZ09^mF2wEA^7u8lgP*8rvR7Lzoqve zwagFmD7sd}dm_&{iN>|hozBgzhnHEs>5+AR2<=Vz-x|EYa(;9U^de9(EHt_JOt%K-I~w>;a-_~)2|M=NX($|PF%YRyi!s4%W4kvPUI)d zi_Yi>&f0we=T7~8R<9PtgY$oH5g%Tpob6YYyb12yNdQ+J)_YoRf@t2EJKf)$rX6cr zu7}q^e%PU6(97%P!R7r56#w5(5T_p1berv0xM#iBY>7nvo#F3rPKl5(_^7qxpl5X& zV4dG z?>lPfY52=<`aM%^@=dfptlkBRXVOgQ&7^9G#}x1Y=dI%~U(P?x0`0iiFKxh0?cc%K zppTeGUYPb7HQ_usFS{D+R2Qp^Je%vW;Ch`5Mt<&mOZ>$+^4XGv`>OtvrKA1dkI1v( ziSag0=UB=6;8V_^u2kCrQTDqoRRMZ6sSV;6o75t!7hyY~H_Izs!gKd};G8ul=R$7+ z7NB2M;@BA5Zq6M7m(6EWJZ5wVc-dDJPt7sl;`=Jfa%Wq0_{)F40e4cC&w;*Tf6^Zd z1K05z;m>mZ39d?)qWE<>_6;^_Hn{n#Cb+D%ra$~kz9#+Ia^QSa66##kC_#DHM8BJ< zJhu>!+%0Lm1qV>S&m5dPyzt-f(G$zieyCm`&-{E<^69)9{-(&KXxlFfcn;25r4SGJ zg!`EDVIjC&^9Y=+cUx-pD)lDCnXfwb6P9~TH<$Gp+M0NB1?*!y#W%)sakn`*OFjl} z(u$)##gduCi`OT8)i(4yNrlbePNN~<%qw6D{Jlnin~Mj)b>}lPEtdu6lit%s`emhY z?wE|X#H-Nnw0cCwa4#FrH|4?kfUi(Lyhd=6^-;6Sk$=0v7?-&{bEV~c%>c?nrO!uUy_0T*Vzl9{7YY@E6DL zU9-M?M(%0$Q=}Jwj}D-}@0f$rw9B@aPY0Lzd=QU#^L(h~>SQ(esDpmQn@$=CpTXn7 zS&K?3_B$U~S=&$N9{t@)WuxD9olz;srzqYB{;K6r%)2W5AL@t27ln_LFM;yhCviOd zw|w;gpVyA#yf*G-f3x4&xxw&puI5LcS>X^G?{`0gvmBklrE4vIhj*H!f%5@};4h0+ z8fATC4_Zg8^g(d*=@0DldUkUf?~40a?{Zw*P^)(a(chz;p3i6=+f74Vv7?lK^G_)9 zqt@IAb7ksPFItbH<8$~J5kB2=Gfq>Sr$1h>zG}~`Abj@jMg87>k9;~QgJLYt{Cx;| z^TZ#VwP}EPktL>*KDHIj%c}MBt)7pF2j{i+pkG$v)C$W@46P$QGo12pgzCri2!+41 zItpAr{TcUIT{DsTy}B4&Y_E#-qSAYU>$Np0|M_C0T$%pPjI-dX%VFr9s<#7dzk1+7 z;@R$lo71^{t)8ve2QFvqB>#kYJ*{3I?*J~Y+(Vva_{YW2d(QyZ8+McbZ)e6>&iw`u zFLeT3@o5VB`}AJpJiZCehu4g-To(->|BF*`Pjd?WHP&)7tuMGK^*8QO(r0HRd`u70 z`_SJDOgR00&{Y0~_>pGNGp}3Z|FR`GKar1k&12!#hnI^1SIa0K*`)et%N-F9u8aPI zIL)L)oOi}Q8QfGX0w2-mcqroBzYAOpr+)eR7>eIHPyDY~tQWRHQGUkd$2xMhMbkbo zamNlXn}_%{)Njf;^s9Y(`~v?o+ratNRB++v>Iwd$4!9GUgn4)77Q+6c+e`shd;Gvv zvcIx=eyt(#){{s-$^&{;jK<3nzCk=}S&vp$&*o*Fk8WMT&A{b-yfU#GGLQO=T8w(& zH}4{!tVVg%IqNa_qSdjIpHcrJR}QNGqSLTmOg;CBXdn3;KKzIa>q4&_)Z6y!3`qfJ z5%jx_iY%1h>YXq*>NlAFKB5EH;GWDr6bDyjC(wFqn;XC5=|)+9U(SCQ>zeQUnev}l ziq>hvR&<_LI3HpCMOzK7?;HYWzqeXsxoP1|an7LgSIs+%{ZK#dO#0THE?b=pE-=@A za^D8fo7IDH&v87$Cb}}Y4jKxsUreUFU08>8#80Hb$EoQ?`f4F7;L~*mxN!3ZSJTty zS18~*ahDsa)ya}0cn#Zf#{CK6}02U%{O(!L=Jw*Z$Jn~GSj zhCieGVZ~j@1Al7p_aHI(KE)F-it6Ntqsy&c7W z)v1#ypTXHSTCQKE!$-B7P3zsWz-r6I+ats;t;PAG=hTFcsqq=(awZ4h9;genQ&!J! z>)e2Kj2ww<)~k@_+8@^*gY!D+bx z_2#TQK>ok{MC&EQeG>Eur@>9b&xoI&Os!)5`P3)m|L0zsuUVgvA61j~Ri6A1@vA@P zPq#j7eO>6ys=hR?5pGK?=SzdZMM55MS-1(}bc#_uIAQe>k34iU1o2D=r1*Q(pg40M z3$vI0sz&-(%`v|+cqPR-7t4ERUU{$TvP5s&P2 zVGDSvtbKK72K1)?bnIiQWD@zmqTf-S_}FPK+wVs@XPv39k$+YAGxmQrtr_X7*TOj^ z3y#A*jTNB#q^Rdlb$fHpV%x7S(-?88t9g-sGujjDiwCc#JgnSK+-H@y)vJ&@l+V~I zSQlnpvrU$Z@jlR-SgJSk?e7yU=g;YWE>^9U^Q85{^(JuVj(<I-JeTDF2)3|5*w7HS%VBW`)E5 zQ`Y%d;~MHjPhQa1`l!3~JE4A&M)kACZLH-YmF}53Z3Ft{1#Wb$a_E0e!y@&^t+4{|_o66#KBQLhDgpjKRL7 zbC_t`uPCM9!xrYpymOyudjEPx??G(+0GgMrUdsBb1Bam(=L*xglQW{1^288WDombTwESO-kk4REOlk-ozzK`hsSrp_1@SR%av~{ z;=KdG#n0PUSZ*%X2N%6)KNMr0RIvT>40^v7-_kzpl)CR@^*ZPr=})F$KQz}8a#+2r zlb7Ppei5Ag`3CXp+V#Qtg?Gf?6~cV6@T~X!FK1D=a&}xCe8O@eKhlTO{v0pIXCe7e59)qrypN0N zRmtZx{l79^*&FMQ4fG-&e1qo2R7rGY`pCPL!1*(Juhdt6Uv9bfZVE0tyn9l+W^~kvBGv z?(=-%D9T&=X}%b*cRup*TL{kHmmXpJb-IV4u_>ztee{SJ1iB!86+GS)ms2*Uj4z-+pk4eNHd9Mg8V1gne5_ zFB@+4CVK$GnZL?oUF$l>!S(%QaM`Ls9Q^m@!G3KT(C;T~>M?)o&%X2pS1ofv z&$kxDd8)?W0q4EwcRbal{&e`b=yyzKUv~7PsI2Z zt6C?hb#Po27p^K*3%=yK`3v4(-ge!+it2vv}ax;r`xP-@j?tv}q&P+O9l= z|8M^aGR8#j6AwMIK27z$x9q2Mk{%{zeX?C&UV)bx{0N_~S0$tU_JaquT^`6pyL09g z+F8N%XjjV|wDWb;F1~H>*j~pA$Dv*PoI=-crgj!v4E;O3o}!)q+8FIliR}IxuX|vx z*Y{m+*iW&gA=+6jYS%M6Qu~Gh)SkBq+I64oc9*}TMdDaToioPwmX|MkU!b<_&wXMW`$86JEZNm?Q9NRFH-zp;`(KG((I>>h&Q%f zmuUd*+*o$aa+y#K?d;EocWgUrx&Z#H#7b~yN&G)nr=AqJY}<|3FOL1LKW#?dc$IX_ zgDC3q7T4Ev==xPZ;8S#|`@!m&YxirmUH^U&`H*c^<9eA;3VGy50{^k?;-^h?-GfpT zceO&eUS2tsWZU_rPSERhUX=F}%@L0iyyu;5SM%w5Hf21e$B!;XqQi}ZMR$v zZWoF6JgHCYC--iWVL$boJev};KIOk_YuN8%-M18XMn|-(-0KfOccoZ0`)PLV!}a3r zw4B1~yFSHy%OxA%wz1!5Zo&0xWEk4@V=vSZuXX#5ZI_;DxL&*G%q6UTY<-G1{?Q}b zZbIYmot{YWn!za^e`*j&rShBD-ngJYi9!m<&TOH+Y-o(!e^ zphuZ`@Tpvxc#++t_nS8#K7m!i9iLn&9$D8ri@t%LU#kYr`Yi>QMUp35J?r@|jq9`@ z%~wDnZMmuTJGiJk72NnWT><}BRcU=LI7azt8Le$U;u7t5szVFxr@Z#*c2>_DX7AHi z`-7|Y_q)Jn{#crqKfJ*iyWYb3XtzqlC%J&jUv^Ehoc;M9xM`Y;eD*rRa&vV$xOBUX zc~tT@fB0|M3(gDv2`=?bAIr_rPT;CYZq$Q1aLyZiU=8901i0f`${oDhD~wlF+lGF* zTUX_g<)cpwr~Cv?aO`(E?x$AZ&&$Kd>2ZMS@UNEBEO+8-!^b2oqHzsz+i1DU9}Di} z_agto6&FBX@+y4vr5wn=oIZPcqSeP=@rxOIu}+;Shr!v@;>n};BtqaDe=P!sa!mtx>^`CD+YBL)6^?KP}N>GlosY05W(-ueEs8~lCt zkpDNA$bVWU>Yw%MM*4H55sxT!G~DWCsZ7MFo)0D7>he_h`1dFNVbOIDo3DmNmg4ir zHt?6eooQTpJ@Tpc{|$c@mI`iU*-qBSx$>TPa3u0^w zlF_erGO*rxWCdDB%{xJ_>j#s6p$ChsUbos$dGpPQap_;9Y5!>-N8{?N;G+xP#eOSG zH3t`&7qPDz&ro0MBQ~w1e(SY{UT*3(-NVKcKZ$(ym7+ZFDivn+?AS^2)K!NqdZ6ZEU}!QOrr5tI!x>0)SPJRW48Vbu6}w0E}vu~PTqMcI6GaH@?X8l zY^&GvLcz_p7^$>vN&ts^*{|_^j_m`uY8cUoSce z@wm|XHCtMd|Mu#up?|yxdgn+j(&uV2({es=ANkiQ3oeTXp>Fx!>~r%dt#>guAI=@M z{2u9F#MAoSG79zVTqiv{U7F5|5_>R@4toH-WQX9-2OPw?qfTV|*YyE+yedI27m}X$ zZcK5eJe*_Wl=bJsN38z=T)SMux|Ye|;C%FGaPf6*>@#9)FzFk{fXfb#X2GXyAaQdZ z+$kERELWdt-;k%eVID=9nb4a8&8SYM4naQk-<=aYvh=1p-Jj?S3&72u(m3xV_osNg z22ecp5(2EhvuzBx;$y(|?MawNClBRcEWAVhT}q>_#uFva?_2zQF#oCjz5y9&$o z-VNaFQyA$}%M7&sPUlo`xvmO0Pvs*l=M5^+xP~VpPSe|cJoHB+!ObCu#^u_O@;rSB z;t>g7W8QU@eT!|sCSf7wGjEcs%OqrfPqCF#we8yCOkL=%e zePWj0xOPUr&TpxxTh`8dIehNZ`vK$fonyai*5qe!(UtOc`UlF-qW+sLH;>aOp1w87 zr|9{0xNeOHxT)73@vxM};3m|I@{q&8U-pkh9qPxlAF5`H;LkmeEKkhxXI~0K&+d66 zeqC)rh~;Y41o*S@5y-P@(t9cT{oaS_r_?9(t0UU=v0SuWMdNk(Ncq{6Q4;zgJ>YMG zV`;xS|Bt`*mw9)=pC1~7Jo7=*W2~NaJq^8cwKVlFqA_3kWI=Fs#Kn z7vjN1Oc8MNXVYGZS=`w(6Wp{Z4KCU~?Q1#9>`DB;Hsq7uq@m^JNK^9fJ_(%pFCJ+9 zMHLz+pY|{ALuBQ|Etbp6RG(_r3+VaND`PA-qcbor7SSH_V*2i-_3qXioUgwQuJTpI zInHj=IVH-CL|r*;JY#G;GHE~bW?dkyqjn$RqgN-8e@q(UVeO0IypX=Jh+ppRig{Eo zX+IIu>G_K#M}X@$PiNaWwd+ZW=d?rIJ+LSGtwZaD`yIo2G5r|Et54;GUL74nd24fC zV!RiFz@6~tsB?L*(Gu%p`ca*5LG@-b7h?ZpqrEBqxD1MOg@}MpmGPK&b>HUEIYCE{fQxtg?9pd0)mj4IN)|Y`^ zr!58N(jRlD@wO?1e)&&D&@aD2_jU47vuLX~Y&`UiPX+imZI0vqfuEm3 zJmD+Mm-yIWxb0U3UI*9dpAjdU6TZ%J{&Xd{@>oFi@G53G_=~gP{5ri)kS?(+ENA70 zl7GfOIKM=6S~UFcHpV_4P}cu@R&{oCovnq@)Y$W9poNKN}g1IORWy@KIm21=pbi=^QEQ zL(iLy4#G#Ax`%jpW^yQe7Sp+7xI27Q>aod)lkJ0^M{mQto2DgbU%GP!>&uxn1M%p* z{>!ai?;K5W_PR!OGQoY8<+AWP=y_gx?l4ncZM2-PN`zh=mQe~W*b0H3^+A2TNkoS*JC&2n|m7jbg`mEf$^m|)9wH&<}|@+7$4un~2_a?tw$ zDT|{1`Lknvtlr7ILwUPclGfwZDq$X3-0W-!ZVtVq@%}nyljW>tY51F%N2EVHYm()n z5S=?}MNZPcccJs;=4#U4dkDR$f1|nWSB2dLXSp_kvx>7kEjQ1LA`d!#5V&YHqOIlp zmK*Wg6-hsJ3GvI75vM%+6#eqvufx18|g)0YntC;^}$U(+Lv_o--tKejOTP+h~AH} zne;wWw5+-T<6U`$#shX+K$C3tUd7|5xbiyS?qWR2)4o=u$^9k5UcAxyC)S zpW_zXp!uyk7yC0GS`&HZHM9Tkv8LL1k z;xTuI62CSQ@rX~!bnd)Ng%2-U!Liq?)RGh7lTeG|KcD@7#^m);;4x{$J+6}fn^#*c zXP;uo-=F^PC?fN$g5TOZG~VZK*iTfQJ-rjN z=t$4w3+VrO;%swpDZ=Soe!QLZ>0`j1*bCTaoL;`*Vimool0KipZNI8~6!9WQ$iMzH zI@etO0cVBjJ*}x*!{5el`c?tg!wRDQP1#;QTOa4I?EfQF^uxI1z8^PQZek?zpek%m z!u4A{!|f+4F5$xiPhx-2w|C(Alm*S9etmYs$M}DTJg_|B;9|QMxJU@XIu*wQ;O`uK zg!*Um2Zy4cYV`jRIbb`u@$%O;9-i?4KIUb2#3MXL`C85j*QNRTJP2He4jG9!Cr$$A z2{o_T@1o;_4fyO{6h11cIObiQ={m>y@a==Z`3FC6d7?Ykujp2i{L@#`ygctZ)%vKx zIsUevJp3fiYw6Nx5ByhoQ=Gd?A^z3U0H5D&XJ7d~>;JLFlnruT2E_-yJoGX(kJE&8iO z8-F7G|5~*D2R`CtKHLwRdK)O7z#LaG9;e_q`>D@*p|$!XdNjhoW>hk2K6KRPl3NI5eaV6 z{2~%<{Ds$1zw4KgzWZD{mv?)C8@HyE=b>)6{}ClGfa{c_(8~tR@ZP}eJ`B!(y$9|z z*wNGav&e(sPSkF2y>c1$E7qbrI2-T`d3Fx|z5?+Cg@Vf$zd~<%eG_20TukdlZKr*J z`HYzf-lQe;;?Q5vs{*5ETh5n`qJB$HO7XDYU(X8!KTh?jN~YlcN`A?KJU9*dLa)}$ z0T&m(U_W7(z6WPsEy10!bx`N#tS9kDc}c&e3icCyh4vG(_XfqY=#0PZSD#x!`oJeN zt{>_JS?+|zg6q|V;G>#&;=b3c`UPD4K>eBuc@e*^ehFOt5QFt1j#oo|bl1XIN9M;! z+6O-E+iS-yd^SL_s0><;PwSV{hU3Q#<^#&tvIS%WH%?(BUiBqOCb^Xj8`waIgOZ?}V@Mm-Xqjg<^xEcENioKqvoWVTGtK|`o z)2J)XQ+*_U4#t(R9$daT0d5jKm!scRbgr30^!%<{RG4hJiR%G9zt}q&-=mXopP-_e zBOc-6OXtO~xao&Up#?{b7FPx=X=>(TG+P>N?}2XN+_z6kx~ zY!7bwtOJ+(-s2o$Iqp%v2jalRh2DWyFSbNeeq4VdpUuONOsvC&%V!wV;%U#I0X)GdqdP3LcpUx*K+_o&kEdaU)4 zy-T5Ac6>T~MB(B)EZ2(i%nC`P>+s*NvTS^(OWlI18o!%d_MGu9iEgPvI}R9;E!=bw_^WXWCcg^oNLF z{1F^x^*pFC^fGfGjcfIim6kIz0o?g6Ke&mThB)Uh{5jQ zPD4J;au zE{+rlu$--+{HP9nz-31Py>9m$@uz|Feu=vNgfK;!x)7+fdCArDTiTf|-3Q#|4E z@$m0U`zjys8hUo_d+cMfAKlN0%WZM)I5*Q(Vpcfn1?9mU{fPX_4wrDh!P>Q@{G4#7 zbL!-SDCkGi{iL&I2+n13iS=%ZwW2uF-a+qNjwS!jDcBF?_A*#U zPWe=-t9whf!++y==y{XpSVua%Mo3~-zbumOuhhY!6wkc3%5qhmo>NTk&fp^K_AJZg zemd`1%rbB@)IiVMZG^vBQ;zOi;wxhvWxe+T*Q4k@)@=X2AAFu20_R8RcT-O3&Alz> zx6XpAkqZ&0N)PX8xqkI8`Sd6NF4A&#_OSf#?Ues(4QO4L4X6FBVM*v&gF>`VHro+y zeaw0Kot3GZLUpy{@<8ju$2TGW!}r0>=@xWeyr=t2b~ldVX}h$u_2D~ce_-!-qfYqC zvTLl5D)AcUg>#hZ&~P~u`m?9uFNXb${OG62J*?jG`v|>AA4~IlA#9n|J43ob@03}2 z%j)F9)u==EB?R1*Du{V!NpF0tUhb}gJjk^}XkKcR!@eXkjzh2NmO*~Z?+XT4y~)S~ zmwQSg9#wVBB-;<)+Y~-3<|@@sm@>zyMJr#$zaH~OtX&$CYELmJoDS8#u#5(mLYFQ?xXuxbNQ&$@7Ra5G9#U3u@D zjd*;!fb*)^b<%V*_6Ic~6>D$E%B8puFWSzRGgGX*%*?%F%js zt`Cd0T)TAwcl!H7FY?Y8;?rN^IZmXygPX5ElTW>EGd-;T@a*UP3-sQJyN1MAu9EW6ezK=B z>QhhdjQzx^(~*42?WJ=h*SrN*?|79V?v)O%Q%Yi9Of$NVm3fNOdfetY)#^p~0>m%6 z(eL`?u4NO!%hCOq@O%g#b7!27)jaMH7S1Z0BWjSA-iGHPDCHTufR_ujOp=qQq zSd!}V(Chh$R{uk7;-gz*9#v)|tUJ}0?sIsKN0=9WD-H9aFVujZ?`%#!kAv4*A18Mk zaMAS>=?~0bW4R2XI+qJOL$Cd=Mu4}jLi$hNQGJ%|1%Fe#0=W9o7hJX&?N<-~3i)v|W2mm?kC|)r z`lTD??cG>#S?vjUR@49g{U6MLZrd8`N913QbIEkhqwI4K%asfDt$o!4TQ~guwK2A? zM1_i|S0|$PeaoF1#eytn_3wh4+1}XyMXgfdmh;+C*iW6YW3Zn)vm@}_s#ny3znMD{ zT>cOhYWK*X)!kFz#_t&V;pb}+zuph) z)A4u!f8NR9cN8*rS#UOSE%M{E+k^W@~ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/7.npy b/MP_Data/pose1/15/7.npy new file mode 100644 index 0000000000000000000000000000000000000000..3c87754e4f7731090fa6618878019cef7a5b887e GIT binary patch literal 13424 zcmeI2=YNjL8})KX6!|)X(KSYuBz`seC0qp8wze z%f=W}^^V^2N`0C~Bd@xrT6^MNQtDH0{Pq&OQuq7r$@>3(3C}?n?z(ol`zzWRJA!sq zb0gYi#dB!atEgRCTK3VpcD;bw)%u(0Uj#?qbnWcS-?v@6Tu$x!Sn?Cc zZA=gN==-mZx^}zc3-YJK_TO^t{NJf)H;*puaP4|p+V_7CdhXg)^0gQ4X$nRd*RC=* z1=sbjUU1xobU?cdT7JW|>wdFo{`7Kiaqo|}_D({`11y?%n+Vw_8o!}sN}U(l}WWZdkyHcd;pr+mK(-&Zpu(u>s3 zEPHfCWx#Ot+fT;8$^|N^Nk@C^6%q`c>g0JBFd|S>8u3fh~3%!2${-JA^ zf6@2F)-2S%(eJwJSG*c^75Z0oy>aboO(Coc-mop^+f2$c-?dxs4B#qjZtCyw$utf8Jq_W!91#}dE&wSUV__SVxi}2j=^8Vo&aZuVzKUI){mGE?OzxB zkRLq(u3m-?^K$)G*a5vr@Jg#M@1vZ*Z1V@Wi5zm#>6raG+i_7poOtK-=kWcu5fdF( z9zSASX8lU!L60p=0Tb27&7be?xC-mZyGu?*SLjy=FSSc~FsjHsrnSmHL^*?}lDytOPDDtsow^ceK;% zr{57jAZcDw3TwyN*)ufW!2^lk84}~TDpH>I^Wj9~$2@GN(a*+fRBwH%P(96@($eXz z#~R{WT7&Djln#zd&*8+Q{lQtt^mLBv+a-xV$_H-xPaXmPs~HiGe)0kH$hyvN0A4>5 zdeP?y&13SS;m*g*-UqHib`!7DZ6N$>b|8J*7vMT{d4I?4y~^OWMnzgb)3>*PPtUKf~%1c z;ZDzXR{__Xa$;SnnK^qn&X-*VH}#5Q{n#-_u}^iD8hpIF$+bTe> zT6%YMdR`<6diG);)t|iSsa|#e6?$1V9oC86{wc!grEgYn+o?6UX_Y_BaeXxH-0D33 zf>-Kib=b^zPkq%F{`_?V=+(O%GvG7hHTkT)0t_Zzt}=8WeN*b!PUwMt#oEJ&UnjpNeL^49AJ*qD;{HRy zWr-NnD^|HB@yR<-S51+r=vP0FN58yp1?W}LvY}oso_P__v%kNccb|Ea@snLVvQ?V? z{xq7empy`AyXe&yKI{eu7kTf`1Ak!=KabvweZjgGjCMY(=>~At^BK79)erUGT$~K9 zT5;ru#a*4^^!h;*=||5%p1E&9>^pwG9k>}f4thCfK`*D5U#M=d0@J}wnO$SxGxs;> z`9A^RqG~79E53yGudG!S{x-*mrO-z%g|b%|RH)ONkbl7S*plG3a^tN*_ZAj05nS$RNatPg zvFMjw><)ju@YX07rw$$gZd*{C_P}1uqsqJ=T>6}Yk9ra~596)gk9>Na2IqJ3VExEU z+rd@(EyP17LC-#X#yS_x<58FRr+-6`pF8Wojc;w#H(6(4FyeXMnEV5a!^c!OfqBty z_hP&%aUAWJ)qBQzxjaAm2F||@M!mApt$R8jxz!8)+$S9Sj{Dq2{?*MM@HacVU_F=~ z(}z2~IZ%V*52E{$-IAB;PoXT}yv=d+tGmCO=JeK+?g?^ZGwgTytTfGgauf8+d|Tlh z6eI2jx;Xi$U5Hb7dm<0ozfmN3lj7uG=?KnQ9WgS%ak=Ul^vp9D-0&_#9TzE`pl2St z;m`B6#rdTh4F}hCZc{!#FI}3Hs%M+VQon6>pkMK*9O{M|N&dXjGH|;-_ek_RrV-6o zkNu?gs#@Cl=;;aI)`o%eKi*2m#Sp6hD*6ZV$vUSu_`}jPuKL>$CySXn#BsAb23&T$ zfN_a>bdJmYF^JRr`vc8;k<4?vQuXTkc5t3$H02@t`cTJB;#0~)$-bnYRRH%rUbqRk zeR`JSZ+Zv$5jS&?PtOp_+x}^r}lony)f_XgxHjLp}wnkpDj$$0PovT*!kt zn}m4Oy??@7JT@KGLwjiq@~@8NTkQ1mhu>&izE5vB9V-^L$vsuzkJRt_De$p@6$Uyk zhs*^xGhZ!(Z(0i9G886{6waGVPvb^P}B{{u<^u>zflkvik)Z z*TgXF3%+^_;*p;30d8tyEXX<>_vb(Nj&hVhyO z$>2P-5W9ZOTso)p|GLt;@>)0_Jn;bZYEKaPl<=SDI1kzfuH}8iBiA*-d2P?9oiERQ zXdcJBnC;?WmO(F8PX)JilENKV{poi?d&ClNzO|e4XZv4bye8*_c5`q5#_<>Jp5I`^nuP_m+ud~+3^M3RH}w^K^z;3 ze%Yw)7_Y3?JKp)L7#gqeX^Hi(ymv;xr`k^Vh)pBFMZJ1c9k-XafUDPA!Ffytyv{*A5`WN409SW&2UiKx!XfNlJFNE}-4Utb%AOic&Y;6H9 zn|UDrx>$D~`0OePt~LFh%3sE`cRpfHD7g5A-usx}WZXkkSU&V?@_HgpTmLrB9e$Sd z>U~c5vpeBWC*1`%jh<7Sl>?SLE*h*M{jLe%>TEFTq}YFn z;)(U4b#kzOjMJNsv>tSwCv<*wE{63Zht$LRvE{ZP_6VE}3CBE|(hadrWR-#7Y7_mgDyLkk=Y06glkit{qG?=( zio!>|@&UIA?QxEnn;D`IPsSwp@cy?E4_{YuqF1VqNXY{|YgUVVT0a~C-i3ZY(Y1cZ z{OZ%YF`0>m%2Or`O*px+Zr@Y`57F8;1JxcId*)xGQ6@H>E>LGMTQ z!tcm~og1j3zfboEJD&b7p9Ww$SVTp zi`X#}KIYG%(96Z`uuld5gXSw&0nC>u*d6mCyCoA}O!Fw-EnSX&w^O|pFX=uh8xIDT z??ywfPHmuhFWG&T)3Xj&!SzM@J=6T+x6*Mt^d{+tO@Ln3s)BfI7kW?RY7U)8W8e01 z<6#_nxOVGt5$j6CjG77k(#p`Y#AcMY_)e&YI?qn%O}`o! zoK7DtoPh6NUj)4vv>5&JX)8kx2^jBhzH~y{QF%^_uFr z{A6$+kO>2zm#-&7&j!31<@Dmp-_&nZQHsB2_aTn69ScdHuO>JjajqZY3Ht)BB1(dr zGABbFm&b}x9*TRD&!Jr5j`RNgD4ti8Pucr(wBsh~8TnKwLUnt^J)zfAH^4_u z8b8-@c0UDNl)DSgR&HG9xZV>BZZf^4c(Qa_>Nx-J0sOhGhI+z9mljE>T$btx&OR4G z9aG!tVg1WFzQmvH2WRur<9*x|o=rTWCe^(wdvGrEu3N$7-2UYAQ`T|L-+UheZfEZT zx648!9p{$jm&NY`=cg)R9f}`l9>uVxsJA>zMdZPT(C`0h;wP$yi5*wL|4-uldJk~+ zqDLIY^lUB7w!DnPcOmE$xeuewZGdF{m!dR zaSrW8yw$D2E>5{<0`b+=&b!az=3VWcDt+4DYZ7zNdf+!AoDUn-kK!ymh}OfCyf_E> z!9wscE#oN9n-j;tZ|)axJ?9e6YnI3VPsdG;;S^_;oY<$j%ON_y7Plr|q8+%Z=ZoJ7 zWfu$1avUZ98GEVUIY+_e+=Ddl(Mx+ef0nZi`ek!p(SD!MeuCq&=mO|P(hKC7N3F)X zVs;)l|7{}j!f?!$%Iis*+NDRL4!kJAOTj@jS~F?4G)JZ}iL8W`N%2 zIf#9yZ!d>lPwYo|J{pC2(VrqI&MbcDS9Q+>z4&bv@!Ut?!)h1Byy%-9;3Myh$9P%U z-g6Pp!b#vFb_%%Kd48(nw$mDLlPQMswjn#l#q;z5SIP8yseY4rhSPI%9-J3BPWoLt z2DovV5r@b>;3>GdyS*dyYYn)4w3B$}qdlPS{VVAUS>#zQjE!-6xqmviKDz^Y@xMfMm`nk?}Kbhi7Afj(}Rfbn|RyH`8FwmdxaX-7hHwDz`mB3 z`ydbOR|#$-7l4aRL-C$s{_9FUt(t>tkM-ogt{wTj`ySjpUX1l`l4FQ}cNcN0ePxEb zczE$uVW+Eb&LC~2CXNbuNTm-d~y!=6ZLQ#^((G}YrU^C{0DjwPh3v>tMm!% zFB?7u+;;Q_XG0<+`Rgi_M>k+xZIN&@t6u;rJ&!Pc0OkOh4`|$y%Fbk zOUTDB2J3;fe;4lbs!#>2bMbcYIj1w3I?(!WoCjPUn}+?u20WdB_7&vMDjvhWFuc3B z^U?PyZ@kWC%4h7>`cBWrmO;N}OZi_@SbYE<7Qe>>i2DX ztT(|1uS`niJb4(nxDp5-5xy@3Jj;9d$nQ_Uhc#Tg+4+c+`s8yi9gTN*&bCf3J}w0} zy)>=EgL!c->w!%uo`&1uBjPSo-aP1>Vlnxkx6Kn4I3LS%VLvLr%81i?mf7O^RW0fK z;)}{65B7tfa$Ik3iGJnq!-(I;(|eiOw+a24YiWP4^i9A#YLmwE)I@#bv!AbqKPy0W zpkWm4ub<=AJD&Rc0Qt0Bi2csLP57VV?EVQF*Nd%K|NO;c_y|V#NjbKUbvje@BjRL- ze?Xi%W*CiY+tfu#sqMBu)i?d@2<87+l|GKEhR5KqN`0gJfB#WCKU+2hKCEH^! z+36Xp0lh5V9o$R`U+lQJI0&5G%mFSu6nsp*SonyK4H1tne?AO8|IobiZ#BSK-Ol42 z=N`X6uam3NxR$g~j_W-MN4d=&g%+ppUF_iMU!{vSJe$9UiJ?9wde9uzcUo^?C&C-p6$8?t}NXH1)qucP+l(= zxJ`aT`a;uC$LxT0EoHpkO_V;0@p#emAto6R0L7Z@K2 ze{-=9)~#w#jPie{KDg*X`PZHs@O~i={0@ITFA?)1d%bDp;+OIU=@V+8p6f>m8yr`~ zyO93GJH)Sa@$rt^x)s5BWIXn}ZS@!85xd`lt95JP&(2Loy;XZ@ABiO&FfO(~8||aL zqoFrt-qE>PD|x)j13!^=zp@^PM_sKy$#Hu!?f*9}?F??G<;J4kGsOZ{6TQtH4)qS15&Rkcyy)KYqnkRk)}rgEG?{H9b1^1pW#c^0h> z^>jX_sh~J#-vl?Nd5GgSWHrUPa3lIP{JS|~I2U!v_IrtQhnJ237ZY;Q zx>}xl5cI98A|BbaFU^;C<4Mk6M*j^xi_eez@FIsgIlbAL0ebt{1M!$wK_i`>?Px?k z-7jJN@PMy<99Q|$fwQ3XAxrvA(Wfwu06n zAAJks;`vKrUgX2y;G_2(pmk_hVm-?igWSB+P>RgSZcGl?fnr*-vcIo65nk`?C;``nJ|!`MFS;NwsEv`a(575jOp<6NiJ zhY8;>U))}gNOJKkqS(*FuLS3|L`%)0^@uZ>FM_bv{1 zKH{4I7quC!&jbB&zUX{Gq@PLuAIbXeUEuWkLN?^b7OG0)-Shf)$L;s+pjU@>&^Z#m z1HTKgRX>q``;XwJ$t%o@D18laiu!rr!(K&=MLbPnz|Ge5;Ht)CT8B;PJ|?Q&fe)YV zhy1JAv`=KJ3GUWzL7U^`UXiOndJxJSrA^ds@Af zKSQq?#!PkGL{dFh`x}#w=Wp`tRK}e z6F35S5J7)-cU*5O1RvR8A@Nf_16{v5b1BLXUxInJd$-SUdQ-ds&DYSu;Ch#ga{T}Q z`+qY7qF5~Uk8Z4KJ^I`U+LxLN-Hragk^b}_&NrF4@MO2HOqE%*uLjcJ8AO{}sBbDV zgz9E&*1K*!@di7VIz5YQkNT@d(*N&}YRxLg#h`fXH}UEq&NZGVJ{0UV?s@`A0`5$yH$Qz5|onAijrhaqA!AHGLUIYIQE$F-nSP#x(ui)Gf=U3DIe@lOF zHS9{Nk8(e%C1s{1Y?cSfqpLn~F1xf!0qzmPs literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/15/8.npy b/MP_Data/pose1/15/8.npy new file mode 100644 index 0000000000000000000000000000000000000000..edcadb0a0b277f6498b4adabd266959e943939d5 GIT binary patch literal 13424 zcmeI2=U8W$e9RZ|I;RVh0f^qNAeN8x}0+WA7yzTSOTf znuxp>j1A(5z1N5_mc!hOzumfsjSUJ8@*Oj1Y|v0Y%Uk=78t<3M#}D@%=a>1uTAh0J+}*0X@ksu^ z{maJ~6T?&PdD&MJdegqD0&e#bGGFB{-(K1GPWaIKc&)PkPx~su^Q5EwkFRJK>n@;O zl{$oWz9<*9@27TM(er_QPF6UHcJtsnw2Q-8&-;}}eEq{Wdj4(PUF)yPQG7Oice;I^ zmGr!BUzJ{scH=?qs*E?<#hVdmH^0*J!iU<$>zjzr7Yw>#pBER4U$y??5XE=yCEvB2 z=Ny9miyHHiY&+{l&&!j`(LYh~YO2-g$STIRn^OtEs zD)#~xFD_iO+zeQYb|=TZRNF3-7m)wCHQ=IO+qE{bp+))3^oir1;I# z-`I9l?=H>%{N8w#=UqS8=XHUy7(X>~EBY&6rsH`T*AC;r|7`r;KCfSHq31G+BEG7@ z@Vql|_cgTF-$(Ix@1Sun5kvFvZ2vpkZr;-Kta~8(X|AikZG08m=(25R_a{)@&K-Em za+bd{#UEJUt!>wHHX%N1(*Ln-=d(7U|7NuNM%ylqO`dAGKGxLOSNX>VwCnS1Gv24J znQLD~*o{Z_)x>uEVqe)WWtJt__ak;xL3>XRJg;B*qFvTZ+-o`Sl28fyR?G0b+B_?} z$mA?^#~sVf@WSt#+V_ta;(3w2AiKzXE2g_)Jb3T$G~2F!I*;dB_QE-AJ8KpRy?V6i zA)fCvm)`Hpk9N_1Hpas#w)uu_H@CMvwDIJz2&SeakFzDxTzkr#Bx>q z5avsIm7xADk63NF6Y&L{4;+EKO-#0p(EsonT=!TBy&iuM{$l9`a4~Nk>P}ogy4dP@ zi-xogM_vc#6K@21S^r;;KyUoTpLpNIdoJ`5`@q?cW3O2*>QrA~xtKeh;)WHuVma^D zInr{yryPw#(khIDnB5Ki68*}9JL~@hXSE(Lgilgga31uM^y?1Kw%pN`z*X_;Sof-E zp;_?HRSjGg9Ys8%z#PkY4>xepPlJp5ljd1&YSt#7qa{#J?AO=umm7(jlnqp8k2-|H z$0Zl^Y-)eZ3(ry1v0S8Frt$3H4=&vOS6Hs*)ug(}dmQ7#Q&u@%Hg1Vj8s~PN*iYHx zPtB~}q--S~+Z|lL9n#)%{cjMse&$R1mQkox`mIk{-R3)@vVt8zdv>ju-yFBjr_y@0q37C`&sT>s7?B!_24ge zJgf))<|F#6Zf`<9D)*o%UeVtZ7%C9EgaSQa$$Fhs8UX>gV&L3o>bLMk$wB>y6G18weO1#VOSQn=Ka&RFU zfNSqF)1fco4$hVrqT?Zv3Jr!sqBv%D>_K z6fYa^{iLP#RTk(7f7Pln=_mBXdK9nee!$kHgUh(4!uqI7*-3wTA&s-#(-r=Ko8iy0 zO#)YILU&q!bvcss8^)qv{KON?FTc49+>}^A+_eVwLp6uSN933dA0Cizfc58P29nRH zvEVZ0*a*vYSUTdG0c7r4tjGq6#JOT^((lF z2_)_@A9bYs!;8SS}jeLx07lJy;j4m{?+cc;p^%{_j(8)nzC4f3s=^ z>9bX!@$X(N+UnVjdEo3~G{!-V%79*d=?-r0D;npon}=GxilKeO@tY6M{91%rZZ7yj zuPYA%*DIn%A)h9zz?IKW@Mmv(tU}zs?-3iXS|BU^Ot#S*p+(dd&K7}g4$2qx- z=4Dm_`s?IhaMdeQCra;{Y+rS0Mm{6Lu#R+e-@evIeQgS^S4U&r@ejLESL)qh_?y~& zsZP#iLtK87_Gi74?n}<_wm5hA)!fwIt0{;pcP2(7&wyL-7jt@Hy~|O5U_aMeT2MY~ zy5W2j$;=P=ESkBK@fWQ8H0q3mFJ$j(!I`Sp-EFuD2O`&&B%k%EbY9dAU4=Z)Oo0#IbqsO!=6Q?ZU+fjQW)9`EDG2+FXzNA& zs(cnab3Q8|&pX?R*O&tC%nbCg{%rYMaNVUe={-{hTh2dKp?q>4L!Rt@4E6ywIhJ^{ z8|WAN5{Yp(jn*I^`K~zTU6eVo(8d*oegju!B553^?~kzD+4l@S!qu1Rq*8vIcTRdU z;y11$AJJkO&O5oI2z=Q4Nyvu>SK1Aq_nn|uMS6ql32L0p-}zjhc)?omR}&^iT5e_+ zM1P$oG+*lHVUw(nXgLgeb6_IX^Rky%cXF~H;_^HX@cCMLEZYP9l`_!lPxH|)CvMXy z%lV&+z**(If`yN|%7j-MX&%ey-WpEed!(!Xu{w94!IPh29X*|>0(RfDw zccbMd3cqrC|IeCQQy2ODyFY?DizmE2K(|sTI0anp1Iw8}CH)wVr?RmbZ{`H8d>ZnXWfyx|E{9}*tH{IP+|#F@<>r1t%BPqE?i~0x0DRCa@~uA{Tr^LZW4U&J z1|KoU9b5-2Zecl}bPSx2DhaNh_V7-~WY7x8e{dQ%^7f!=m$NoGzvbBchNA{e7`BgL4Pq$oDpwHbh#!#JiJ>X;G@+uh^e^cWyt-D(_ zw^+S&b%Bpb_D6qZV1>b!t3}f&PuIIt=X*aRPxFE5gjY?0zphmY`=qKdihL@324^}4 z&IM;_2;!;%2hd-6efmb^dH5vsdR9BszZvx;%H}Dn#1sEJ7+gFEh_+nMrSBzl`Vnw` z+YjR-D(;6~)pntMz$*xPGkYC4^IZwf-4}*iAD$Xa`uJY(QMsys%L;y^cOkBqkBhK+ zb)W8ydTbl$nW#R=a`U1v^m_V3+-GE;l!@?fT@>>rV&c$W?a?*V%lcf)x}P)>7*F$K z0s21SQ5*P}!&J{I>2VAAG;*ape`rW`*y$bi6TUL*^F>%gi{nxlFP7o3+JApSLc2`0m|7;NP8s zUToZs`PE~(`dBWbu3&wMZo#NSJ-F*K%QX)o{r+UC+s#aYf7k*&d-5;zrnuJz_|!^* zUf!4h?yL$Mosj9H+R;5z9q)yCWQRQQInfBZ|C_Nt(m3zCy4vbRT-G}JwHxt72j2s* zXY{$rwAhMqU@2`Jt7nt4?hlE-VBh1hz9Ydu)8|%MdMdbjaT4`lqC%0U6EvIjEZjLGWE{uhQ#Yp-I@X! z8!VUe%aTud13eqrWW43#em`(s?x75|9zZPtOys(V{m z&KmuQdFPku{>J9#XbiniBdV+D63`2t^fUCct0GT%{W0c6tvR&UE7L~0(B~R;e=?1~ zPaQg68qFu4V&k9}#W~igKDdwK9w-RC6VVy-;EpSnC0Jy&2Y#n?S{6+eUVc;sFI`R?c>wv2g%P?Q6c~6|b zVkv!I&?Sz5^WDYTTOVGR_8FFO8Jy*A9Ade%v<}AEIlc;9r4Zd3*Ni+4Ydwp@&iCBB@#2NT}yG0yVbH{wfw zf?lq153_ncs3MKSmrme($mwa88!-Z$`vp=yL(eWj+;gwtqdJtL{qR+*vEa??La*J9 z!pAAx73Y)*{Tp0{(EUg5iQI1WB6=-2t4ZGv>n|l&SBVV(I}w8V7fZSj-+2ODa)r<1qRnD(-s3;u+@lTd6@2_*a8+O!=|g%%CfNRZgn>KH z4}+`ka?P|{U84C_6_11KZoxP&)X=Zci}%fG-@Z}-V{f%0FT=`P448$Z|Gr z2{;R<^T?_H8T+{&5&?g)KqRoh7B=qkh~#^ELmwiSTRn6`WPNf^*sYRO=VZWv%g9K6$WC&4TQhceAS#xIWq* zTs9nn&+lSyI`!-8Ihyx=B@tHz{SGcFogp4^d!Y3{p22q%bLAh48OXYz}2uM_!yl(YhGv_ zv2UR?&Yl|2@=k`VZB?f>ylW$|3oiZEg90{C9 z`U|v9dHHs@*Et79f%DHak9_bYW&L&KHsHGbb@=m3YiV5{7zfS(!dHjKB2ntMUW5GA*IVE+X%W^7 z*YC)`kjq1_Oh46pJ@x@M^40fEf2z&cVPHx61mM z7sS=ISC{Scy3H`$w^`20$cM>ZI8Pnl<+ISKb49*YI@3Z_w@N~-^@2Bt=K0Be8A=f5YuI{V_cgoTCY5aL) z0QAlL!P(pP(2IHVn_I4*f5H7wuczO0)$3Dqj`w?txO#IW)k%rXaaPY$v-Z7aO)w75 z!JaXevm52e|7i!R!+t~8C0PB~tn(stFxA!QOSHa*f248nqTjXo;CcJu)0#fdvI4m% z&$1C6t&e;j2Y>Cemd10e#|X>W(UvrB5t{PJy$$;?A53v|jzZ9j{Ck&Ly>qt!)}zSl zM(bkfH^g3KIU6XOj~dgS;s%^X{ygK+YU^W`?n7MJVhZY(4X%KBRLR8o z7PmWizU=zV_LcQ1j<{yaJQ|0QgLk4m{2qLGy+v5>Civ$~mg}I4#7o4Z{`tv7@>!e> z-03jXSe-f4A9>2oC6TA>J`(+ssq>a6WVQ>BP2kS!M9RO;aX-u1^FPR^WKQ%~rd)HZ z9}9m^{mnt&pRg8mxIbXSx^Ft`EJ8?oa*7;}UEAmFqZg?c@b_+?yaz6GQdD!&@RBCu2mo z)teo`$dkp;_dGl#?I^Wzc`u~^&@lbS_S?C)ek@M8}Xtc zp_Z#IYv8ZSMuV%mwXp6?tE~G>t8w7moF@IC4Cu}KiQuMS6yma)#b|tF47ihP?hNbC z+tU6Z93RX(`*$dP4&7gn^oPDcuN&0HKE_7wqIvOcMCT4`Gd02Hxt7L3yT8QvJ1u|3 z{;#uV-P^;fL9aLZ;~Zg4C&J%JlT^3kHm$Jvh=WZjZm)b8e_f>w_9YWV_b8|3UU0rW z75j;dPJ^B|u8DeZe(15w`pAZTk*7$^`hUky>6jOjyCyiRxf$zSSDT7_oW=i;zWf&W zJL%^Zz-I!jBi1&9`t|bc4$Ga%;n1sYf75xI7C$*5lk;nIzfu=VQ9c*<()e`F`kZpU zH@MgoGu`UtS32)h)vcs&HkR}`_fVdRl`uZC!57+pP9CJVPv~=y`hB|(;vPB+uFul% z@5*I$Kg-!aS4qES3G#Fvp6G44YM2A#rc33g{C&p=uS~9g-wSTy>(PD{{08GMrgHf3 z-?H|};FZYVNpJ<1P5(lj$cf(%u|E7+bJB0SM|D`oD+GM~R&XcxZi?&HqKC~#EIy66 z?Al?}iCI@~wbh&a-*8^A@z3Go+?_wk>P`Ji@L@BzQvH;f+}i48@jT$7%plCKc>WFh zu((L;k>dsjR<j zrWfvIeVjeHNx!Tl<#RnF2>B#?fs3y6|1ConI})fYbMR08Ec{uJt29jigye>(DX zD&(1A_>rmW26Tx}LyHW6YK z)+E@tmphRD%M<9;qVcOOH!s7$%{cnLj!jIChW@!5xO2Y&>QmR~0e`u=3b?#Q|A%Q} z193m$d$aC)Gn%2lJaBzD`gMo)F_RWTyhoEkmYX}J;KO&WB))PY_F;ay3eEeoZ8X1Y zyW{sz=O;S9%(Mx_|2ie;|1U(!&UMyD_8m*> zXW`DfRxgKN#(hBd{2N@i?}T%NT}s0KDUaMmT+wj@xE#L@KDtRSiaUKYe3X0kjmUFH zQ>=4VJ{DYeu8I6rj&0zob~*UynO9@1Uhi`d*W8{>{`*G6S?)Z~O>wIZfR9rp-m#p0 zc!%|-2gegny^YV~I(8qW2Q3j25DoMWSU^w@P%PPK2mYf{;jl%J`;@E1%LNY)9UU4ttk3Y!e*GP97C3ZN|5QF|VBm=Uso%?2uU)%FCGSc+ivQpK zWo3-n)=%#FrGBdR5m()(@Y-=V#qsUmUb*kA^zi%cQ*YaG3GG`$@3?k#T&}5& zcAl;*wKt@8TdEh@MeTaR_y=aSm>$ka47wh>a#V_RXx4T~M zyo2kdUsrsZYbD;h>+Qb_P(PcsA@bHm^5J@2VGzc_9P0nhU9Zcoqw9R~B0j(O=^uAJ z-#6d_{BwRpd^YYF>dw~xj_>B!-M6mY)S&D2k0a1eRVWrZi~;lFA()qVcZYtC1A zQG6NbgZ#xmYY<or_XZKY7lQUhccyQxn(Q(nHa18XsH>KDc6O_sQ?i$Mt$^TzZlE z-FW^&(5^FQrg?nw*k#u)Y9>8&dRcNW+C}CmtK4_<;fL4ozqJ;1S7)D~-DEv= zASJck_J9AzwW}7Mm=}CvQ_OFkqx(G9t^?D9t1?-xJ3pP{H0ml6h}+Mbz{Q!dbDds> zZO3>iufmky!C^}sXYv1ni&}#)j>aQhqT|-@B{*xa1bWkY8~kOX;#XJHDIY^sMD(ihFg`MaN~H3$q+Ib0?Ah$KvN4 zSHS}!9T&HYqQCOoLexR~_D8?i!eUg1is!&hs7Jih+hU}*d!LYg$laeEmnTa?&+eC^ z^;4$bG{=pH7x5we!TGFy(;ZjcE0BMmWN=ph{7m@QsSIxC<;HwaU0OqLj}m7$mVxWy z>BHe)EhF@1dH{{f^8y%}$HS?BSk zbzk>%edi-LtRX(SE4W%bzM13t=}2(?u0QEV4ru6nbaWYTbEY)uW7my#oG<>4>YptG z>7Ord0Uj`!{G%>m9F@=H;qcG3pM3hBAbu$0K*!DE_N1@%72M`)*Uxb~zY6IK)}#5; z^k7-Xc@^4^?1Qz4E6Qh7e$J=uK$<6hL$Jp`2qWfIj#mpPC9Mf+bTpP)}P|G$hL@BF3TRm3%if5QB+->S}YT%33e zE@RW?Ro&Rxj+-7!sBZsh=vilP%tP6HB=Kecg3A_nraHYf$>5gdqIp%|KGuZ}nGbH> z)Bu-9Y>d44`yRZoAqqA3<>bRLQgY?rUQ=K!thTfiU53YQ|X}pf-LETs!?HlsrWUBLx_;BaL zlKMa|JiCE&`+g|$*}9l`6K|^Xl6DD>tFp_$<<`>B>uhtP!LuDCeK%Ua{BV~k@bCA6 z^k-=7T=B2>#5rC!c{^F^>9MJh;d=nDl#IPICE(l~cfN%3|U} z_ry9b!=k`-^RwXm{Rrq~<{IF9NE3{s^#6hM@BJ_zMBiRi&k^7K?w9Jr&Zga;j2;Kh zY6?2<@{&K>-W~pG;dZQdU4JzE)uOaKbIis#+HHpNEb zNWBx>blM26?ngqe-u{PqZWsPW`%=#(W1NrjT@TK4_+o!!BhHRQ9Y!>yxC=_a$3#uR z{Q&n*p>;HT@p;!zdF=K?_o@B9f%8t$SVwkN$u zA4IQ#p-!(G(f+LRje%aqKg9g!Yci33>`lZKi#kqqdN%4R{ME8Rtamv%1^c<4(TMux zOXr~UXcp}9WS;wwr}Xzl9n7M3Qyk~99RAYx49;2GsiJgTuX;h_>!-k33;$5Z?ZS@G zv&IK-{<0fMm?y@21US!s9rYAuL_$icp2bXrk6E*y;?7E*<9tNGOY#p}1+Mew$3DY* zG(`U5!x3=St4ejJH%Hcj+bq%K^Kw%U=Wj;80heQnfvc%m`Z_Kyltn&v!9L2fzy<8X zyh7S~@xP9KsbVd0zUwthk&phb5XN1+Veu|5i%14nlcT8)#pg$YUrT$g|Ju4@3P`{Rdcgb{w6j`oIG`UyC)%H#xnS@;&rAelGQ^ zT~dhSw%TlPmFz+5VnvM=F0R?u4so@-iFvD!ewpv|{8<}tKC~(B-*o99?YIu?i2mA5 zt&qPIHqmjGhwcOAwIc9gS9&jV+${Ks>fE#`^3kh*SnjxJmA0Sn+yj4Gwb@|!525{# zpNN1zYw&VmN~)e0E{Ob%cOT@hXB3^_xEVB#{Oe6Yoz1pF$ln|pMfKeE8F9JK$j;8+ zzE}k={{9HArq{)N6hA=cyLq?{`Nu&a&t<_{sty z;3ktV?yLE!C-7l;>X84U^mvYt8Fz!r%SFlOQbHS-r&>P)TvsSfKA&!Oa9m%Z_e(Z! zE7A||&7qI^5qfbflJs{yktdr~0Qsn0-!8el+0tFVxldlM1N3ItOVYn-G|+KfFbmbE zQgw`rXzn@3`Rmm^X`c8T1Ggte;T#taBf$B94wzTAVbnaQ7n<$|^z**ZtC6GNV+-sj z{oZHD$JCibKG7Sf4#U&d#cx~UTt4P(deSFPqH$l>JH~OF{usEpdJ|k#o*@x8^LzA{ zUE7BBV%k(%1D|u*px1rU-pk$mA;@u7F&bQLzKeM-x;#UkrkFq-Y|2^q+xj1ZoWCqE z7GJHzY`y%xq1YFEZn(DY+ zlJ;IAVhgysxt{9N;CJ|#J>Q{UDr++IDq%S|e?Ax79xX5){`W({*>!*Tu%+E19A{O6 z$mdmC;+YpiZ$8p}qYV<^RNu6|AG%B=pWi%b9Ai4*d0cI#`*2-CskE?u4IvIiO(#B^Fo%R`)YRY3C=Hehvtv|y&mR|cpHtlqC_*? zr>R#p!S$|^;3{LIaW1Z`ehqQeifZ62Xh4|bCgd&pYfpB@_{zpl0$hDmyWG^@9*3~* z%o{ozEdM~bKgkm1bhTRu9E}M^lp3gWAy;yKO!?i--iCbp?)e63V)x>)UR)uF#q+4IsT6GKOdkD?EAc! zw`%RTNq(u^RH+9p|9Fo6ijFxF9T&eAC7-kRXrBLbdz9nqbpSYTnU3_;Uv`7flSFVe zf%Z?fYq3vCs-7i01Q%Ub!G~>+Y~;AfRv6=MO7sBNr~PU;29#{$cw%kR}#cJgU8po)-Sf}jYP4H*?bJBX5-5TS< z7M-Mg3j2ezGBcLDxbiURl`c>ECH~<2m$9S|SqpAUw!m|!jJ*P`Gj<0Tha3Ome8kNg z;P%m2(qF28e6*?t&gLz_c$veUaQ@n!^t@p5(tA7=64MNI_&k90GcQ6f&L6{ll&(_^ zbvCs$jr-%NxG&X@^3b@H9}lir%n(;M);lNmA2Z}5>MT~2OMt&F^T4(1756dUWQ`&- z-FF*C?{AHNL*%d8_QHNBHtd03vgUY>;7dy(uISSqoR|4)68w7(2Ir;6ATFPn zGS_i^{S|z8;li|Ue~Cq0vFZoXciaab)u$cKDZTX{;vp|6Zpzqo&c`lV0dDGl0XMtz zCpd00Jf=LeR>OW`2F15dN#$I0q`0~BVIR{0ahU%+M_b}8cGLcLYU50&SNCUwn>Urf zMX@N{SJ*Z?$=|ClxcvDHlz| z?@7!zdAuU!v+*7BmmY0aIv= z*K#w(?NaER%Y!%HH`;xwt^*L)yvRlRws&dW1^)uQemVwq7DfGgJ0G=w8r7|1H^h~f zKHxdgR$mRS`kaFg>zD`QVk^@+(mBSUzpQX_yz`OaF_cfyiBz9W%g`_0VlD9#@uV+v z3hTvA?+>m5={>(a>x=szn=S442ygy`p4aUi?E1w%9fsb7J_OezEB0`4?U@7MqWKQ; zPyVs1)0=MH!KKeN)S10mk8{Kfm_c!S&^ndp_Ts*dj~PNd&XE7ItkLM##-`wQAN_xj zuQ@~O+H*L#?jL#E#nbuYalV+?f#7W6Gu&UvI=N5>S+Xzj>T|$ti^6oj*DnBEHm2tY zIk?+Y7uVcwM|!WUq;K15GWb{8Pjtqcl;^bPp^mdztH`J6OXBBRk9FJ@-aD|NkygKAErf0)IyD6Zq|gw7zoC|69eZsT4P;6RpS9UJCjhY4uMU z2`C|N zA7ZhN){EWoejr#g%_h-At8Ds3$A-+0$`R ztQ_>lyB_U(Yj)rq5h3*dVxBY&{^rzD1)nOUw|zdJb@BA%8+fnCDwIV&rc-yEr|Lue zG}kW1tOeKi&x6}K6&5*erqcWoGwHnw_fHq@xLntZ^!I|WfAR*EW+To9sl zqUpT^&-E1kdgMlMedy2_=fmU*;{IvxGvAFJ)xq;Jd~CsKTb+-bQ=jrY=z%OV5h6U7qs9P3U=zidYxI!*_$@;@@u2>!=K< zzb&6H3i=ln$!7!YZ+g=h%4g+A%JW(x{B6}HcrG(XX&ougkLZ^Q-?AS5S;NVH@J+ab!7_lW@t8=Z+%-2 zhkvCSG_P17#zh~_shmGsdXn_vc~Bp7tzK8BXX!FSZzA#|AAYKKsMD+Me&Fmf{eFh$ z_UH%RHUssy-f!@+lcqn~pQ<;>q2RL0ad6i1B;ty1n)M~QTj&>? z?T>L`uO#I&X)n#IZCx;*b>#}+cHKne$?7M>x_nIkcHrzK-T%vV@A3S|0_j}lt8XG7 ze))=adL0r6y-F90abzts;2h*Fv*O%Q_gi5cWvTD*9ze~k4!tZphWOh{L!6IzO8bNQ zO7Gv~vg5HSsa&obg#Plbd$I0#=O>H7|4AFKf;VVAPH8pAaZ|Yy^kP?UaQ(W;3ddD= zGjMx85c5apIr)>H^RGeAcXB(Ud7E?5A^Z-r><#Eut($ZXRG{aQ$e(w)1+G_o z8R@t_)|hx~X871GL+H6Xa40y7xCbs@#m1Z6Y*M$!|eR!MGtJ0IO99q zfscsG^8X7izU|Y{kFA5ad;$FqNab3V=(xF6g3i%t^m`fEp!|5pdDWHRJh>cvc(beI z@3$8D@Vq~R+r8f}cY1pw2gO~{9sdsz9>Em1=xwYwd+q?ZTvl&7;-=(5Jw=HY#Sg f;2-aWe0b4w;5=eH{Pl_T;H*|v_}d#^^Hcs0TQ9-y literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/0.npy b/MP_Data/pose1/16/0.npy new file mode 100644 index 0000000000000000000000000000000000000000..167fe31af147ded3f532dbed06c71a66d5254447 GIT binary patch literal 13424 zcmeI3_kT~x_s56DD$7SN(T2|=dhaBo*VQ6|6?=*3C4z_$8AOzbNc0Wai5f!G=wz_^ zS|wqvD5I=kSC6)YZ{~IK7kq#He*JPE_c`aj&Y3f3%DwMc+QajQUITKl05-kaFyBc& z{?%IWYORJht5%Cw8$Q8*vj33rKTYr-=4*M!A!8@`X7NcQhxqws-MiLr(xgGH>a}<< z|KI-0&lnS%Nuso!_;od);DK&xMX`6n_fOSNVecvONdyp#9_rw6htT*V=YdgPv!f2RyUw`pn(u_A2J>IA+_O zq&0urdv@=`ReR+tx5CcZ8+FsR%Rf88UinmlAKvzO2JA0fx@g;-w%g!W9O{K};n#a0 zk0QSAE8DK>Xgue{zQa}dw0dWsmtp3LZP!m6^w(*&natb3>Woixkk#Az?wvaZ6vGU`v)`8lV^x>wyAK~I+YHWlq@L-4#4>GF+j7f}t7 zcb1vUpgm71Ja0;uruLb|sh$g*ziivt>w4+dpL%!*?J|0bO3u1>%A`HD?fO7tnqQxu zqn+(p_6g6WC!$>yt&6%8p0(kZw_3Cm&-W<@uDzbzwEC>z^*Hb*F5qTo6#D5rkBGKh zHMmUURpAZBi-q~eSS~h}BzxW&I!?vh>!DL5Ke#*J^jXB-{I?DdYW(9_`By8`9Gqu)a4|MHr2(ypTZ`J%vJt8c2lfL~d!KGoImprw|} z`aToN(AR6=M(R+3Y@)~3oaf$1XuCTQEx*2PCBzbfU~nl7g>GhQardB zS{`-ijJX{O?%oF6>5u^~0$qlK*Lq33{9B4Y?|E7WhTjJl54^$ko5$;{JwNi4@~~nV z#zl#Ot)bJmE9rz5#C#Wbjw27+Z3MUs%t7_(F>)E~ok8FxJQ4cluy?fO%Cj?# zPU9y1E!QpoggyIiHT0c5FH!%_Z&P5;yi#Z#$f$+>^4;Hqs{|LSpI1i%tq$)q3-LR@ zd!)MC`=`~G*{kBCpwE*^!JZ%bKzR-;2rhE(Bi><~JK`B#4BRQ?k9=yqd64Cz(+=pH zHQm8g?^|2pr{_}AG2M^{mb*%nwRikZfGe-D#Cr_{*X_JWzuE-o$SreytUb>^0bIA} z2X5ZonE=0OnKUkk4VXSc${<+ppC1uorH(QtUlXxhxo;zDAc)Vq@t~kK7E|>bLS$s^Jsk}^arg1 z=ZkV7KjP0u=$EX&j`C2}7kN-^N0a@LVc;@x1niy3xsf;FHl1{WCle34GTrJM;}5Qu zbpTh9*Ztu4%uaANCJ*%af{33j7o&-*_Jv?C!sgDloQ2W8rYnC${Q7q7d6qlhD&S7#Uc*5S?`2?=6 zG{Crs!FSMK*4GR3#rafarn}8s-U_6%w>{>Ude;=|jNJ4ixKq~?^M%EK#<=JU6G=aJ zYt(}i5evVjes6GHtSjtI3A5P7qvp7RJF64mR}|?p&vN>BxH zjVogxRC>`68>i}?O5^q78{~l>JrQcTdEJuYX}=NstbUW~Z8?wpmg1k=0i3;9Il*%0 z+Bn#=535N3c^=e>mh-`t-#*Ic#JxW!XW6sT%i&k$o=<+gPcN}LQssue*x^U}MgHeF zpE#BKft#DFh_7nZ-0H}N$HDa|PjC@`VTk4Ghy3KX9G!cm|Mp?vBixC9U5Yqa$&2GG zchnwmU3)M3CAd4*8Iwu-g6{N);tzim;htqLN~Iuv5!(^=Jn`Z*@N+aD^(!~jn~5o} ztiJ3&0Q$}^+YzU7dx8A0p01StUF{K%u77Ns)luHG|BCwc!TE;$Sg%Cj4-{wbd{pP- z)J&_-$5lrjSiu#DNBaE{WOdj)nipbWZ^SQ>`6_EKhE9ZE7QFiw{K*`N_Nv31lKvN8 z>et6rW5H)^0q3y~DE?HhSgXUwc$44n529{Gy*Eptx7myM`vy3_nUC?mSkC4Qqj6td zg5tl~W4+~0BN}&E<2B|xYtkada&c-X?B%pPh(`qvT4TA%JqGcx^4p*<{<%5~JTVWg zGi!f@zSviAWwO;dSsV6hOEctw7hV!#xm+Ac`hne$XOZlN_??*%h+p101HZcVneJAf zCm#WKa-9P=5ofDd9rlju-+8g#3P73@+-lA7HucUXysgK*~d0+$i{IABVWvxAlq7 zJ+=URPHxzX@EqW>|M9laZ+H!U#r1nQKM2*iPqK}-_9k#O=`V0~TY6c}?oI_aOX>TR z`t_W!+{~tR%p|*!-?JHgp&wie@$f0fpyLF$-)uR5H3m9t-2vE(A170tysb!e5>Nu; z!kRY1zQFzHoWTA`05@$su#dA`(dZX{Q5SV(_8eMj~w8`X8Wp9@F;*oqTVRjZ;JvBK=GL7%%hdxmlL8%c>o%$91 zm8HTl@66weH(Gmcs=?k#Xhr#X_G}1vgEge{_hHnz%=kk6J<^Tp6&PXE}3H$i7np)W0+D@?5K<7G5O3kG#QUeBb$& z%MNG2oeJw{zBr!9v;IiuL*4EjI6FE8_Uzhr((g5s`r9yVhSd@4!oWqoRi2hjQ1h^!yhp2{CFzr*73{Uca{~wxUhzUQMXPcov+x_iik(l@tbCK zSOHh~)iMXg`K-!f_bkl$3X1dkGw2&RlFoHa7K5{#1u}%3buMV!(eY4VX>C7Vi%#&FEb)PcPmh-cnX&zme48JUC zB=RPgw*_~6N`jk^qUe{pN8dg8Ki`9^GAFT4a=&j#zh_H~FF$=0>#Z}XD!AOJFz@8< zZPTq^-KHJ5_BcWHaMHIo;@p?Lp12%(4ldul z?rH6v!8Ctm$}Gew?!2KmJ%^It$u(&oXF!xN=DSL;7ao-< z54*RIx13$3_cc{?e)jn8?Fsve_c6cB>W-*G5!rH?<<5FZ@vn|2`{hk%SgsTHkbSS; zV6VDuiL;ys+=adP+6P=$T`@5^i?ho?l+O$GFpg&G1jH}z#)9(#8R!>#@ZB0~?{uX1 zDRroQIu{^!-{4|BZB5>;S7{(!U@N^41N^FLm+YEcYy~ zeCd6}#Op%JZaGB=Cz>OFel|cKxxwMz;H|OqV z{W^bsg}oRW0Pg%;xVz<|bOYo;`_uzxdQTh6bpd*h5QASKPVVtr3)r`BPUF~};uNRb z>~OdCUUYtwe-EVm|1k;cwwOTQOHEo=^ot#@hk2@MouzU4@Hf@xqG1>p{@+L7Jd?&z zr6#ULJpE`L=HB%FD<_74t75dCsB-h+SB*P^_Z{8o74^%nIXIu``-|0ao@anNCHoWK z)D7{lrQN~B^6|9p`7Ib>`=!cee-8*c{liE!)6N?58P~OYg48Gi&Gr z?)<264v}?hfy@2w;C$no;Z~o2UxU`4o!4m`*SuS8bxca@zihjicOLb_qrT!iFI#kk zJzvKWznM4)>!HlN3VWHONh+T6y%=w=>_2;8uM5qicov@vv|NvVMBJH0@!YK!4EqM9 zpu?+=1(!XYIpD*3gNul7z;*d*IPdYo^Ppq?rM#KL-$LKn`UG55DM0h(LL0mvv7OoR zM04s_THrXVuZoqW_~#TQ`z9q3k1RxakQbVOJ5x@DT6-Ba3-;P=D8*Ur=u+?rpW&Ci zD1>!P-Z%k$(e(%FSI|1>=(~MzzU4gMBRqGO&U-w}72nfD-6Ytv0sp|>+-VX6JKrzR zcQVVOZq2wcA~`D_zIh}#FOiA$SqzLr{j-ll$iB~}+xB^t>kWNJZNC9ro^$~h=f=^w zEBYL9zrJMup1${r%HgE5Y8}}x@(QzlnNI?^_<1Y1?(!Jx6^kxJ`HXIib=X9_9&7#c zEgfL5hFwSea_SFpR!6+1x)O;kX+93$p6h#&(03}{#rmK#&!OHNSNgp}e+~qf z_nIoiX|ns3s}Sct7xXW_3Xd(1j z-)EHP`A5-THfk8Su2={2R}`f0gt}k`xR`nb`YgBs)_MK%Ch_I_!Byu;gRQ?M9vmUt` z%mfz|3nS0YZ@F-87X#D5o%Y9I&l?QJIxj=ZMAz(if_8vAj_WLIulWGjs}{+`W6I96+!P1_ z*Yn2VoFED7my^MHWEePaQxE-hR*waD!W)5$+T)-vn^PSc z-%Rp*!E-MBZld)>zR3Rl=zW5}<+61W`Q1;y6S2X?rdqB}p9I$(3qW704ndZ)SK0Nm zh2Cp;=}*W53x7sB1w&}Q4BrNQ_ETA`!y+{X^WC^q+UuSrqtlL2{2xvuPIDpxb)^oS zC%*x|gUf#x4?;Yby@+?6fpO;_^PqlIrC-2JnbzR4|E>^gFYbGTi@p88^{yhYXGe~L zJC$BzePceQYS?(hx#Cp+J{=LKD)kWcqg`lUGx5_=52nknSWoo+u4Mn~sH^sQ+4(x^ zU*&87&U~k*Sk8l8X4@;fPy3*ny(`t;J5Q&#!gJ|QDW0?R9?IH<-#cd8_t3g66Ut(K zu{P&X4^CNn-%;azpf9(6OZ^S(3LRbfD(1CZmEoJ5r6V?E@3Ymj|Bj|^uZ7mHm~sqp z%8*moXW5Bns}R?&(a_-7J0zQZAPRoF`@&w;UqSZ8?uS|~ z9_9cyvsaSeay-y-r`dk^)$c}vvkyISPT(~q#gmiH!*W2ep4Q%EWd9x1K>BWJ&U}x3 zoFB}jIA_z}AsCmXvC!`pNAYy4gFNVz`O6Sbp(f;aK~1W|+!KFE&eE6tX@6JkJE5** zz)s9}bufE>iKO=k**1MQ^bhxgj_C0O`B&|NgwQF6XDnSd7_WyW~70RF8D9<#!@E6Ssi_o&LPgHyvTzY^(54C+3*4M+3Bh@ zF0&zoN0 zeDUX%R^RNL2G0Iw;5tWV=$Q9Z=i*B(8n0=Mf~`F}wHWc3g_XeN;;5O>c|!Y$K3^8x z*-hi?09DN&O?M1T)=IbB8vaQ735!fL}UGz)o6c|`wEi%-9>bcJxk{w{<#0F_g z+^4*C^+(;Z6k6wb##~yjLf#CSXy6-Dm2R1auJYt_{ zzUz*(k2_mBgjgNjdIiN9oS)|DmeSSTb z5zrY#=K($Q47d)6L*449bWS!M)*>FqFV55IID_fEn@vijcwP73!*xCR*L3J;|>@{(<*R_)i<5mk$uc)a8)^EJou69_ml|_ zXg)q`9%}pLjG2ResU^Q4Z+iKmRhEm+iumK>lz+c6QI_+l@x+e{a8vdBSj$b)P;kDZ zE$YW9m9L+B7T33SflHrNp zsb520l6^71P|L+1bHG)eOH{X8Rxh`l{ZJA45fy5qzxv0%SWm>vQLxvEiL_so`wr`# znA@EE{{9Tym>Oa5JO3@kxg-bWEq-6H}7fH0Qjv;=P`5f0`Yb;Ct9v! z2T>ke>F+sJo7rP6=l2U!oFD1@rk9o93;S1VVXyN%N1jFR*?1q9!M(xx;9^vVFP781 zTjUF_p6rIbjysBR(aCgv=56v)UG;J`v$w#H-S|LM}Km!}g0EcB44+4McwQ`=UOU zn>UR}fBbaHzh}e<8;|3ieST;WiSbn)eHK}Jb0o_U=X~(}L3xJLJdaGJ_4CQE zIA5u^@!2}`cbg{Fduei(9&fyW>iA`U*z2v~fz}VdF$7$$kHkEceM2X}KL1&8c9njo zaEjc-{;1QNkYBe8sAoOM4f9B?jlsQW+7|k9Q_cXZ&(arzvu0k<7at;qT7A~xGq{r1 z$j_S3VU{~1LvU{v(%)^GcgLb&e`znRr~Z?nFVdc19d<%Cf%6CSejz#(3$*rnVtwfA zm31i}hjURrThRZPQQtNuKYkCfZpd~isqWT)ST5{eazW|QR!2>I3N9ixVg2Dd8-`eJ f@(hPx5jPb5V!y`*TkiD9pm>T#P@ZD0PD}nD@)78s literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/1.npy b/MP_Data/pose1/16/1.npy new file mode 100644 index 0000000000000000000000000000000000000000..d92b84a92ea08ce344a0bfe23644f1d45c0b5329 GIT binary patch literal 13424 zcmeI2=U>%FwDreI>@^mQIb3W%g>#W(cXHWT^!(6`rU;j?&*l;$wOs}A!JwwaX zP%0nVr+Y|H>ie=)e)*+p#c~z-SpNU} zmz6Ol;tJjMNqx0N#bx)(AB?<{l=`ZYzdm>Gjb|L%Rrry=-FtDh>2238ex`PjKGQwN zrTiQ1@<}7Kn?lqsH}^ohjr#}fdJVO6ueA0tes|pG?V{`#-K(j!?UwUr-O~E^zI@wp zzN8`Ab-FER*MZcohYdu#Ts9W%DwsZRC#SVfx{v#kj^t~Xsf+x-9fKl8|O zwj=^RyqQUM?Xu_>Xg~ennS0fjNA7m*c0tM$ zynnLkEMDy_=yav*)c?4_&@;o)j~f2vjnkPY`Y1jhlKrN8&kp^Byy)&dkw=wr*-O`M zemX?+U-|=HW$mc{oL(fHIOW<^$#NL43A%yLi>I$?{F$!4cI`HKJU+*=Zlk!1PQd3` zvyx|BJMZ=idDq={UU9za(R1Wi4ZZ!!wadsE)c=yq_`FE|@~_jeA-7Msc5|Wu^3HBX zUB%~*L}5HSX(YuT7)hT`So{#}88%}4TD;!iK5ys#I^1#dexh}+EbCUZ+y31)x%V5%+2^b-#-NH=3?SL$93l5AKa_xmzVngV`h4h z`d*r$l=toc^=`sw?) zc6KE4nQPbCenwr2V^uJ};+XH;B*$A92UmxlVE#<((PfVFZN;dLJI}?u*gS*hfbTj> z>-@jBs27{N=R)ujg`qbYTaZu9kINlbb+c2yZNsoG^}h-5XB8gNddo2p>z%KiGu!En zUni>Ho}0n#hp|I^9RKMe^m1P5zukLY@x@f9*PBjJ{m6g|j_ZV@zdJ5_##5Zj8P=89 zcYn0wHrgBU=xURY2iYPJhl(G>vMX#(~C1rNIx_i>PbBJf!?+z&VuF>Z*g-Z z{10%_Pp(bt<=;FSJ_Y~5czLxZ;AUNLjN`IUE7TGHxB&T)&8BJ}H?FJik!RhqAm)+p zy-^=NGMVy!iuM!vxT!Dr{#oEMpMYMqVdb2UUEL5|yn2WE5?l>+Tzy-b=Iik-n#XaC z8#>Ngt|I@ab(lw!R6E4^+d4PF&AH{^I±$JK;Ta9;i#>BH6qInFz@BK@LVR6lX8 zy&Y$z3WD26Mf+KXgX4T0&p)2(LG;49Q~}@@XjZ}W!p;N+$Y~O$L*hQso!%~Q2%mWvoX$J`2CB1O`Ts*KlW;cx!_YX(meip zk?O7LoSEQ_wnMLWP6KEDzfc`|{Z2gkJ~;1{8}%kIL=G>A)hK+ zR;u%PWm`Kgw_hcFx5e-`dG4Y9?W{29S&>_)bF*~sM5nh=<;iDJd8#Yl$s-(B9+4D( z(f;RsTz_juM7vkrgW_bzi$l*oF|2o%}fd{~4=aseKpW!=-r)nsz>zWPQIWA}J zhQG)g2ySXrOmO~UPYn6o_M>&$?*-=997`eIbTD!6O0%60SApQ-=0KXqNjU-?*AXMY zRqX(9(L2`w$Jx^i7_W{!hCJ|5VZFgu(YVAXfB1`luIN|ozYD$Sb`E-RvJUEs+w-|s9x%YO%E9HFn z?PSVNY#*AJV$r`rzicYFd64>+YFpUWNoraolWL1K_2XhoLF}}*FfTZf}v+cJcHr0d?L6C_>Fk|r=uL# zYBacg-w<3bu>&2qG24ju%L0EL(lrjez%FnzGB@nS$Hk3r zus^U@k1#IT@(Ais6;1~(YHh%|pqd>EgU|ZR;Ks)jobh)!M?_)rQ7`tOU*4)P&PSD$ z#-oG4Rf%cPv%6W~!~0bL7YWT#4`Sd}#L0U$0GGLw6~+~?j>fh7S8#jx>jcNSUPk)8 zQ^8s1qu77gC#rwd;t=`tjUfH^v~Osy3K%aB3x(cPrhAYKu7P~2hKU<}QvFRXy0@^T zU%}ayIymplhFJ8gPd9_V3D1l5ZkEpk7xy|5-}eafDBD~ESKgb*XU%}w$mcUUFZ8U9 z;C5m~%!~4*`;UAu3!I;r0KLiY2_KUo68n-k;XB;<=z)i^Ui6_t*xy+0d!det{hcUI zzjWkZelPZI8FmNtuVxIwdeQx|hGV>!OTfpB=!pGF-B0M~d`trguF?fz-LV_fP*?nQ z7{&8_ebfVQw+H>Q_ie!C^S032`A@N4Ok_FISKotv&4Ync;6L*-{8>{Utar0u6P;`M zdw|P{bPk#pFM7H-*_A64|C2n(1G_nEvg2x-fWIxVk7aPe0n#>H|qqVs+44#dgZzd`(R(8n1r9`@ie<*joE=+z6~(T>}eY3sU6J=BT# zDVuivvV~pY&p&LV_!lk3c_&W(2p^NBGvYB@->q{#dO7X?_H7Mty>N7h^N|Ip9z=y) z@Yh3A#yYNw(es2Ivl8)`0lCIFAK5PL9<{YS;#av}V%^F3F!Zb2Ctq_qbE)M9_bO`C zra0dWh7aF%ZGht}f%XkC;34AIiPe@QrDA=#H`POh!>C(xE;<^1jGk*{Y%Sd1Y^G8g zK6wUEK41Sp@&7n)h2yG5F8C<_bnvm>*B8R4cVCJ#+7t1}K8F{sWlkGb%vGMD1He~$7Q z^Rl($y7)nGoBjeg^Sg2Y&vTI!4;vJV{mSy>-<-cKbsGL+ab4uu?nsaGQ7^tl@wCoK z{ip9a68?4Q9LdwV(; zE@vWt-{Qle4|_^J1(PWL7X_+0uDuGthxLvFS9>RRc3c*%3@-Of0Oyez`#H{DuZAyU z4Z!uNDO2Gem=$`(bAXG^4I06J;1$Z-#AkoI_hNi)|0MT%Jc0Q1SHxQ;;yz|>kEJ-X z(Y%X;9zQufyVxDv%xy{iR({*j`LX>!As)TuJbaAbnAPB!>3Kv~PKKVp4-Iyl=PQl; zu!@B+FZ^6~oC~VdNXqA*8^Pt3IJ!@Eoeyp^{6uvX9yQm+V@OE@h zP~j&KkIo)M_krj`h+k!|jd>K?ief)e8ROKBD*U$g}M{2jkVP>#sn+P1ElAalcUg-~Dm2^U<^Ec}I@xL44)< zDUS2-wC@43tR}v91@fb(9Yeo7%O`O0=Pu}3ft}!@@)X)cCS95C;_bEIEJd*B>)|c)}GTT*foz)9^>3;FW-P|bMr<7J zlgf2?H1+FO0{JxQA5U?5Rlhg5$d(@YH$}$Q1HVq+o0%m=z;)pr?VJzaPWLOFog+?O zY{Lkr7mL#N^FcYl_4YP1onAhp`;t2NFRho_W5zo@UryZ2%8U8Z4=(p{JoS(2eBxh- zQ$EVO*m0fnPl~^G4{*EdJM5Ec-y7nu>7F3F=E8Yl{U(E}+{dv0tIq#Xoj-0%^^?*7~zGfokS4{B*m&K2fKJVK4&c}{jN9$sWfnJ>Ig?(6-&Pe{Hdtx4W7lk<0ok*Hr z{~O@uT07x<#I^g-o6S*(Q+#QOIQ6(-aIw1z&JlLy9PZ)zI(=Vmb{{}IY*gY{#Gi-O zqgqgw#`|g15XV^x?T1WFqxn7jtfS+m;bW{XYb1QoqNOk)u z9Cgm(V-Y7S5={C|MKQm8S_c|$>@0A$(u^0=e}5*MEb_V z8n}2==1i2gqT|73=&&Y^n{TQU53dPsA9bq>zLcIL*uf995AYyw_%y0V^S&Ylak8T0 z@!X{D)BTN)?1ucyI<>LxO#B-7>%RUpu2}`KPSu#>#NR)|yqLfIFfTGC?fcsqm1!Ma zi&%_)Z_$3s8l^q|2DAp(o9DoX9h^q`!aeXDD$dgWVBXXMw^Qpbbw1+eJLq{pXW|FT z(7utYHMsdW0^{X#e(&w$^mT?34_OG#8qaR(d|3DtaP@o}>DRo&`V|-aX})p~0k<2^ z^>;q%bX9PcvlX~J657{s-o7ICA6fDW^3Psoi*x=mOx#2JisPss(Q)H+_uhPJ20g#^ zJ;i_4AN!%~c>#K{t;Tt$Q@fh~0e!#@=vj+t6z6I-0>0-TkP zx|NxhHA`}Q#~_SL=VjQ(?D;S{cZ&3-{FGb+&Wf+a^SC{{mh#ik6I`aWr+e2H`kl{= zr{4=%NYq&8FUQP*o~>REy*g7V0{p}l;vZLo>pxH6{1SHxP#%{4h<%t>>P^o_tC~{3 zl`bKEeWcMc=c7hZUD>sDz-^Tl%N^HsqTpkXF1p~8`kp;`GR3``r8MuXUIOY?)wo6H z_}7i_SF5Iy{}%ea!+u#0E^Ac>H-49}pPS3`;BSJjVt zEIudnynSuNV`|Lr>bUG3Kt5Glf!pMVs5jMQ5$S_|Ip^Y5rX0>4y)(_f&np_&$A2a| zAF+&nhn3%Sp?UW>hyB*ptp*=aaR%~i9-bWT{B*+ts2`Ky9_y54{=E4cs>9*xC88lPjQS4H_fQyi5N%&W|nF z53Wuhr2T4;uXbFHqIG1S^}u*__=Z`|M~Ed9PtZVcnr|Fa7zUq|$>4lF%_HlOe!Symfh7O%1Ms)4&tqNdJCWda z*>AX~+0(%|UwDU!#1GxWy0-Tj<)PA8aIu`e7u8>LV7zR>Fyh|cv=4auPI3L}3ImA0 zV8nO+JlS#Hb1S&Ib(+R|YE!7=Ht#;-6K;bm<1qsIRmZ{g$#2M~bhR+(3ttA8MW|nK z<`(jxLf()*%V?|@@%%mf_2tsE53h^EdN(;9ZS`?+j!S`_M;)Yia$jrh{FVP%aMs}{ zARm%|GH2W zaJENby@<;Rw0=7lA%1rY)`g7hQyM;Als6N<40$$FcD>#2`fb&i`t|0tz7m3Qj_?HH z^6o(R+a;}(^N~5y_Ww`zjEh@mx!Tup`(N69BZa;vF;DYGxpo$G2=S=?hv=NGIzGm6 z*=!*7tJ{I6{{PA-=siY3Z@c^b4c*emGu^9=r#!1Rt&vYzssNo+{pZ5RWbTZ-$#2WY zB&F)r=1=eu*S>?^%uihEe025Il%J>d$j3j=Y{%8Az7*%QXwr8)gL{I?m6>=%EV%d( zfql$;y9fQ+aRb2h@0z|Z`i<6?I#!MJ_ggeZ{GU9b=S%4xD2oljIWCejqHcLeDC$97 zy0RE?-lBa^fAm5g3`?5pIG;rS55RkPrS1P+mnOM!HJu56kfcsPw+eBdDhSRub+hihDU%U#>O)m2KdpQ*F7bTo{3JK73rRGtf}1G**+D_z zlkbuLgm=gr>z9e{4{P#JJejgl9`YSRy-9u_J|;tXaBXOO0C+kMr5vMv$zayAKi=pRZDbFm!x5$qv`MAIHmz(H5sUqk( zNat=5=s5rD2F=Uh1&D|3`{!53Rr;rtx2|Ksd16XO#Q76FC)$c{F)wz~hq^w_XW3EY zL47WJ)xBqf|3&__2mL=4U;Pj2S)6Ev_)UNMe=6}Z1$h>y!+W{UsWyS=m#t0vKD?>t z2*+h318x__ARfErSwK=M=hLsDU+a~Cc#QwgSQothchK_}XW`H8CXIG_x#9u&*NjDe z)bSnl(eI;D#1GZS{IWJzun()%v>w^YVc3^c{yo1tA04=q^hG={@9LW+gW!L@IpyI} z8_c8a-vaB`Hh%=Yn*R~|j8=8pJ3Sv(9D4K01M%pV^Fm!bwqR!(SO0_1i|BuPIWA8Y z1(%loe@~7-lgDxGF`axyCL;g3PJXOksc9e39cdr7zRPhQvE1`1o=b-?F7v)P=0$!U z2_JoP6V>6xIMlOwTaV(g!w{$W^V}rF*^18n)c+^Nyr>biXdiBufzFXVXAzIB_(nTD z%SiVJv2q0I7nH*}$TpUseRy^Q%%eyyiSGf-bIPYlpzmW%lf?tj?_)X#b@F|>KOBvl zl$2_3W=CLLMrz8NITP!+yg>I)8+HI(4yiiZaaC^!>2uZxH=C<0aa^SIB(54$eOBAm z$|sfcK55VU`abqOQL=dj$FbHceqt-- zo9uj;pg7sh4DeB>?u~Zb45II;WVSc(F*#F)Ij()_K4$Nn2G=1qLmcOQX`PBGYruKo zQntaop#Q^^ z(~E%16D?`ptI)nA&(r}|auDt(>IvQVWaA1n-p?J7H~S;$&H6xax&Ey5aq-CN=+`_` z;HE?ix(6PuPxInK-&ga(AEr7z&q(W?4e5?~S08sybNv7Q{&!}87muO!S^D?et`78v z)kE?B177i{Z+U_KFNRO^^iOi_NfW8Q&;4MXUSvDl-o2_%e}U^scd_4!i*1`aZqLQg zKKs5jUisvg)f{Jc)6Q>2-?xaAtaxscx*T-o?_~H{-%+>+@(T~abxbpG^Ko`J^m~P# z6Qsxpu9id$PICUmY9W3R_K5oT97^>+fYzJ%^aI+}-C8)mjOX{z*#q;D51YMpAmR_n zNB4l(8no_0SRdyve)hyZBKDrb=Tz3R*soZ=-Qbd4r+sGlb?EiAw$$IN((pGg-%fBo z@}FXen@6q2dbEQ}VZRdI`_Z3RT#x!MwrT|Q(=X9FpZ7QX?6JI)9oJ2~;VVD1rTz<* Ur~RjC3b^=&_GexsDk|xJ00%GcQUCw| literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/10.npy b/MP_Data/pose1/16/10.npy new file mode 100644 index 0000000000000000000000000000000000000000..cf6035575bd2f5349ef1c320c380770347a6d32f GIT binary patch literal 13424 zcmeI3=U7VHD|ioIZAVvQOV z3wB`?Y>BbA#CDi_@%{tv*K_=`fBTyIxo6FqHDzzM(d|07_3fU8g|hJ;{sF=LgFNax z9t{W7_3&~$28;+A9ppE>?}#A(0Lz>C1qKIX@ZdpyBLgztm# zY(Luh?#%WAz7Oqls@{HjzBjdtKQi0TbWOAEqUm#LKi&e*J08@(e*E+So^R@P!@ipL z&Co7uP&@x=BHGQ70n{GVlAa$z?M~P&^luWz()f<-xty5cBNtQueEZ}3=>Kr=E&Iwx z?K*4Qg>Pp6J(Dp$*?7=h+pcf@mulP9vP}ObRVe=Ih40yRb!SY9Z8z(vT^&C8)N)pH zI{7@iqis7o{{{Kuo?B9EyVH4NW*%b>p}lWr|EX>MvF&E$hv(28@ZDtF`L2`Cz~3e$ z+gC9?0`2S#LwtP5FYs641@J01*Leq>&%_hUb#%;U@VBGo)L;oyx`)k|oTur9= zt;Am9xsa>x?W?-e9{J&}|6;s4{05#kZe`%7(muYm&+8nK)bIK~5tq1f4$qsQtV!@6 z#xQSsddwZ`Yu?N-_LZ-xgXiVsMR=Zt{)p%K zNs52Ue2V}38BgH5RKK;a&SJmK_IdWJo@C#f)1%R^<97<}s$+?*(EZbKrhVl_>)?5j zBj}5LuXbgl=Y!KK*!L{o89XnGFGjmAQg)B!B79*vyq4v7UiqzY;TfF&xgL2FHyXbC z)xP&@OL^#@}ORv!?RXcu9g>o z-bDJ{_Re_kjQAV}{jF@|FBedKecKOzb?iQT^yet7cmDETl-0A99WV}FCV}>W9UDf% zFGmverev+__C4=+Y>w57ZGTYx^bf%LVXqI*x10yA2A4^BuHg9^FT*WoM=K*9<+}uV z;4%3yE>olm#aS!~+!PzS!0L66N;Iy3N2LFu@htcxRR`BY%3>aQ#Ml{@JEv-c^Unjo z_1MwSiwpHh-z|akKc^yoQ~4KgaWsFbcgFM5qdW9!Lqp>0V!)jX*~XyX7e9hK{v9wc zx>#OiIUkr#dGP8%br;rYspUGg8R|-0T7~?WHqDjo#~gc2d0y*={nRO&tp)r$9-}&X zTpwIrZq)%k+h&2Y>@8^jjh*_&)*T!83%Gfc1>Csq39|mqBR9n3tbaoDTb2D{xprGk zKJ^Y^9_6MUqtI{d8{oXb4sdn&>k!MuxFO)GvjKM=6dPo@4sH&vE0%=66W_n7<&JB9 z;#+4@{64wEy)EAtig?&_f2?!uU9Ys&^Bwh}cP1@`k17{D#_DyKmb9LuhrowVii@?} zWIYWo-D=Z#E3TUjeSufh@4knqfAgW#1nckAc}D#Pw?O@fM-NeNqS`0ozfxV9&5uyG zY|}PyabgAZa@Aebp;$GI^f}*wYb9q`e>4A2a8n=;)!WFfs4G=(Be>RI68Y z8j;WAuiz%1YhU=B`x{)`|DM)+g}qp(V)H%H&mDttv0`_yuANg)kq0w>FU{jJS8waX zmo|sqba1fVRp~<$;eW^<+?iAq{^ncJMc~i7gYz~g;Lqn3Mt+=EG{5X@LFlD(&DZK# z@HO)Pdl&rqn&+s0^EwFm7lq!S&Yi*=r&+y7b_eHk8&LhY_ZthJ_LC65(|pu5?+l&J zc|F>`s&*8oYFPz(o_vf4z=e7jWx4qAE#+;)M$|vg=d#fHn6s2OvCM$8#XeX^;_oHUi^heK zAN?&c!s>O`HN;zmQC&4jqji@jGe2QLl+T3R{#GvrkAvRaodj;KT?(_DFYct zMQL8X|3G}zPMizuTRzmY*!&q>&MQUdNbgd!5oe9B;7*Mb@aIiA=24~+=bwgyJJI{7 z&cFS?ertj2lH+F}&P|)i|6yCwpDrUUm#5>v*&hMm>UnR>uW1oO{r(kAJ~>KZJ@S3? z$*1ReaF**f@}LGbBcFqHF)%rou>#np9=v7hJm&CK!Q0t=~YOEK2&Ykwp`IUn$H~Bik$7z+1;*Vc|c@Z~n zW4vr@DAtSI)ntOVjel1O_~@_z>{rgg!hY~y+YMZKhhp97F|&|=wP_UmS!4^;gSy#w z6!fXBiNB_G&0KHdd{I8`;JWW0v`&AEoe91Bd-$`)EwSEBt96qsm)ClL3$Hpj2U%kO ze%=|J6}?9D6;Yh>aI@uf%T2F(@K;Iu>6~>B>1nyzo&!F5jR0rvpGR0OBZffl1a5=B zXi*X8m(y%I`Gj0RKAq{KmnUZEMf=6*mzQ6Kep&en*f;pV>=ggF>EPyvnxm~hpV=8) zE!sxV%lY73=vTDJ4z9D8$Ns?YGz8aGH&7l@s|<(F16uFA z$XSd_@4SLM^EEpWr!)9p#4mr(zQD$#e6E1&&wkMJm~Ue(mrF9&Z>}y>C-bu5ymJoH zxgfIrPVsEogZzkR<;mwvH^d`@Zf>(ax*_dv+B7Dft0n4zucvwti(JWnXU~a!Tb5aQSOpJUyLzk@0N8#O-1@or*=)te(VX})5{z{mVmd8p-b z*m`hh^(VwHrt;OcUz5}a{YvK#)UEkF=VJ8xq&v9dRo~e6%59*sujXC=jrWTO;+OfB zuLb`pC-mYYgO5|*XQky%p?;))SBl2^k(i$oFV>(!DTW&f5|+ zu6X) z=bn$?!$M9`K1CnLa&zwo_^62rTtwIEYPoZ~Jn?h0!1<$2gP@Qqh8Cjb8T|c~$ z<*X~!mB`zf{MXg)Z2gUg7vf;^Nrw9nV(1EE|AXz<8Qh8wIuT69Pz}wn7wJZ zU-9^nh+ls_3a(Q)&RJ7z0l3`Rgz9#0Xta&Tl%RPu={=yAGaE%&?z~7QpMcvm-pYmP zd_Q!E#v9iV^T^*6rTt`2KIon4=OByjW@xabFzgFKk77vL`s6z*fW3<-e`Kl%pT zl$(chK@^!m_4FZ%^7C)kwbtL6dKr3Ayb7Hg1XA^fnj(e0DN#~2$*n)g+odD;zDSo-6Iq~sD z#-raP+E;m0U2yJk0bCi%TgC?v+-IDyIb*Ee4D+D*sy3D8*R$Ce?+ng9%tf5)w<^dd zQ#}#CG<}JS?~s4vzpy2I>e0Dl_LQZ08N0*R`Z)dQ{-YFq?voGa;2xrWtbl&aqx^_d zmVJgg;VYux&qunDe{><-AJ``HF;5C%zWB}-0k&Vg^dt06>V3q?tJYs-xma@qT$~G{ zdN|Mt`y}i254d^k4X(zv!g*n8hLgU_EjqvQW~KVs-2(N)J55BttVjytXRjN9tH0eS zo?#DhuXCP1fe&Y1;Ocl6?340TR&d$3Ip&x9v)(p8`X$YaXt*2eP9)?UXXBS=88#zxw89n#awO>vg+B%hjtf-QIM z(SGPWT7>y!``%%^Y;+pdmtNHcb*OLT$9XF2QJlQs0q9k78u_Q}BmK%dq<`TSXZ`ho z6pH7CA2|{Ey!{)Z4|h?m=4aeRQb(v=eNV8A9@B{9&XbjF@sB&ui%bH=J!{R z+PAixCDPv~*vm%Hn@8zQELXq&hJ2c;S;@cRC!A~gLVd(({yBj-S!z(c?U!Aq`B!v!T>)$~thC-n+f^;jWVOsfpmuy0_R*cx(&g**qUhJ_B8bSRYxUBF$I59^mRh zw}F%EeE>Wqh;by^%^x!Uu9c(xLV-UY{}a5lqjx#ha|zvN$_JnbhzeOo13pELg8 z>O(>7V=Ap4>R$x)0e6B9f%AKxu#agM1#b3xfjh-+(YZY66gY3(4_w@vI>Gw0aWjZ# z*+cqs^QVLFroRhH&x7EmOa2G(D_@^j_$1Id zD6Vv*ab<5GXSsea;ls*rO}5XQnO`F8E4xVZ?&R2yx>d1!h}AnyDIVjw5nCCnxlxNjt>DhhOh! zxjfbuToxDLdTS!;O+Q}*&YRW0YUAcdE-L%#bgT(~S3h+^FS0T^bJ8g{h(bMvxeoXpFoXaNRmtB^NC-nDRGvh1edCO^xSJo5o7hW9e z*U4X>KEL<<^xjD6o#^w2d z@|WZ!2LcGEllmqj^i_$vc zMM7x2`TIxOcy!Zf_{*G=C_k~!XIReLQNL<^Bse=c6XR0*#zHSDl}4ULfv@;{q>rb8 zI~7htFRG^Eb0SN>2ClsygX@Q?v-Ou7lEB&EeWVv9d)fG9%@L&knnZQ3<}S5*5wING zRNM_cPaP9%x$|rsxO4XyI1A|`p}*G|T+X1s4?5M{BP=)LCW5o3V^h5|-t&S>;lsa< z0oTKxVO=|^C6EX8VHD|$()Xe=(u>Bsa4`AL^?_b*8w`Kh&<~uK{f_pB#eGo!Dun7s zmrFsMs@%v?HXfFiStr3Sz_rJz5XA4PDW3Gq@5ATb#C^&5Um$<~#_$)u%P9{5Pr=oZ zIan{ETHhe+qq?}#Itp2g^{!*@@3G@HM-P*JFXczKY110f=Df^m18(-Oon-a;cz5!59Sp8+rbBPq9t78wzhQrqt_>?$J@?Cp zx)p;u(7tr=Qh#sT@7?XtOErh;!JWQm=Ak~&vu$BmM?B1%&Z*b5pYV5cv0kM6`Ecu_ zf1z_w)Hq4&tA2Ph#5wi}{6zx&9>jQ-s%iDSyEix!RcYT_)OEJitCz%`ZR5!QhXs=@ zXKQGm*WLcQY@c^}Cy%h)aJp}3Kl+};n3*%t?sACM>5X$Y?0dm{mV!5@b?WTwMSR(; zFw6Dj5zuqD?$|#?b$x7l+TY(F&6gtOcUvM>QHMmI&n~Heq(0zb6jsxePPKH=6=2Jb379r$6xxrw| zb1y@uUmYf3fGG;PZ20UFex-;iD_g+iiVB=?>7VRUZ)# zFYv0p)$_1;aJ_L6@~NB78EmL%*^_ zDXa_GHTNFduUSs}hKQo?IoUN=X}NBhdCzf4p!hGPtUx?7j-p>SIfV9~Y$Gv`x;b(2 z%}KS-tAgj(!>3a@^y@g&XnjSD+-f@n zxbf_3p!>B9?y=&QC-P&?(%&ncBBPfiX86nR_ftME9-;WVUkU&ZyhHtF|4Q}T^$yM{ z<(Uhd7ohJC`2Zi(o3r^Yd>o%@m={ym1?!sKqx-PA_?7n0I^kL1fBF-A)aj$hzvKHS z^1}yao@-N5DE{BRgFi3U7<#8c7jRQJB*uUoWsh*P$%1g?L2INoyMKb-PVw>-G|Qb1bHN@UL0nC!@d+`D5r_${g*S$Q4hr$R&+ zc-@`w;a3B}O;SUwJ9++IChrW+JRU$VPSbtW92Mm6wgml}2jyv8wI%sKS~neWs#lbU z{@pO|GIzgt%Z*D}aM_3M?XqkG>|?sr5gKplS~z!9{#=t2GxU1q3~;T|sQxdm!F_{e zp?jJsQyO}w*LOG<Sdw7;G@PlSQl#4*lm`x4S~>`1@wDI8MA+a`SukI>aO5v%!adQSes- zW3k`L+hu9r*h%+%KH>Hj>%*VYysN-hbZ*A)n3$NsOpP&~al zf}0axrdYjRu$l5UA{N|h3kTkc0^)VNdkbki$ zp6VoK@CxfACKQI=Ih#uLJRm#rEDF*7z_PDGe%Sb4zE*EKyHUT5J7RuS)}o88KPyQ0 zOtFIYLmv4A=Z^kJ^Q8yoqI!#r#OE)4+Z*wy@Ln`8zOSYA=WeO+m-libKdevd&eoq- zqWcE>_Xn!y2E|8Pz0B2~d{$k=x)3YA53rnlDhRIK;^3od?{v4^?559&e99?sIk5xw zTU|Z#UQ|DGAHL#XU)3+?QhqjE!G7zMt%-S2Zo}cv=I%%QGQJ1Z^8@-GKsKZMuxxf< zI^yx}1HFo!M|IUM5&NV}`~dExBqJU^-6a;|+D)HF#GP>HS^q%Pi5gst&bxDsFpsiy z-OX07_fbB@k|1zi^&)+)9N&-P-~ATzrAwwwOSJi!L7yLG=pN)vU%e1xxo*7zdNukg zxam+K%5oJz_j7%_3*~uD-PM+h9X+AvM?0c^oFn;~dRrb#pX1c+ci8tFk7*uO&jMaS z&wQ>Cf4aA=)$?0k$b)#C3@!pAMp^EZ?h4Kpe+8Gk?i9;e+(gP-_Zze>lIAb6+|(|K z{P2YpF1oji%wLkRc82$ZSc=nnPeP9i6`S?B7oyfCcn&m3|1?AyRUfRc4mhsR( zpznp)q)*VZMY*UB>t)`@B5#5_brueXekZL{)nqrgY1IXvNV_YM*;t2cl6f-CRL^Ex^29LxXj-~Y}G$Tx4X9(46ls0;D)xe4}nxgwcTW`8gBKBFeyZQrLPke5dWtL0+2ljVeX!3pVyDb%XR{H&- zeoDVLalAI;+*C=_ugK90=M+EeighY#6rugPQYrF_j#^`VSeY1#XK@tzH^+vpwOoXH zVttCW^t*V@zR`UktN^&`x)%O=SXwmnTW5gFcJtw{vgBW7xf)KtXVs1exOklq3;po# zX&>=EgmDSqpKxAFzZ2N+SjWLQui5S*I2UAEFX&mdir~(M64*Dy$RgD5yvE=r+eYj& zyw5wVXSHHD@+q!uMIPk)IB*^8kAB(AfzXS2#nG==OaGt4349BG*<}+rA5$87wS3m{ G#Qy;m1m&^- literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/11.npy b/MP_Data/pose1/16/11.npy new file mode 100644 index 0000000000000000000000000000000000000000..8d2237eab988b23d6e94a8f92c4f005425ffee96 GIT binary patch literal 13424 zcmeI2=U-Jvw1!8;-o=>Mw;-jaX6af`DaEga}qtRBVGaMq^i^Q5iKx zjlE;T!4i9kE%sd2yZ8(4*L(SLe&?C@yt8J_nzGMfe#dSdI`zyTf<##P0RzYSk15~K zDgWJ|`sJ%QZkfrQh(e1Jn4}A%3FnP^uVx!vaNbdNqK%OvvWKgFP39^`iQy4M}FyU)??4k*U{rMZ7I_1SG|w`IMq z;5DHLw^!$OHzJ(d7Ys(bXM%`vpM=g-T{7co9{bm$FgH;y z2>6(oL__WF$a{mFX**~H*UTvWoZ}9mQ&HkXz>xZ3r+?`^0+{s^~fA^VrN$s}a6`tQU z*`;<9*aaFMq-`&WG`i92!m zz}1AG5RcqDZL)V7H>ZOTkDM|9>)c#RtxS5|wGsPIUBo^O-UpN3zH5WLnOws-4?pZm zAnwNh39h@=V8-kD&Kl=*`yM%v73)-9x&f}<1z}vy=}TDGBACxx@%Jvwi|Kc_ zHpUy&iv3GCSno1AWD@!01MO?JmK3lml|0Up@CExa~QmDfyVeo*e($FwTGedmX_iZ0Gu!-wWKl z?Xi*k)!jMlbH*3r(&4A(lHQ3t04~Z+VLrJK_CxWYJGhz~%szpMy-2SIjR1F3eVHHn zI28R}`-FboBR6=xA1r}&B)X`vKri*}d3T^`^yxNH3J(e6}wEy^a|k>YavV)s@h@4?kU?_fBAPIP_VQpjTak zkx%InKaSc>+%(QxTwcy|VA)vW?z&ePuQOvUucN7%W68&vki>cDo5Jg*K})P7xjznE zcoaZ>+&qUPNpF()T#$aj$b+hQ6?(S;=SSrl1-+_JWB}>K>`?YEISE|%y2tg?Xbkg- z9XbE6&J82I-ooow<}L<*nX6emaeH7h^zzpt&(_L?G#&kx`48Ob z_J+sn`7NId58r}|cANRU@aP*tdNuMBb6Jefi}_8WiOXl7!QBf<=+_PDjdRCY_J#SL zVc<%ig1<1_uNqmC^Oi}A{TzhJ+T)%afJ`qV`}#nYo(ywm)R%l8(2cLcb5 zsVvSrnUB|(@$Ah03AuwP9@R3E<1EW@x*u;~9z_c8C+3KOkDb+a9_h8>c^7N)0m^xkgw?ngdOwVvSCX9BOge2qB&$49e&qn4-# z5f(X`^zQw3;7*-E(Azc|=Zn*}H0w+Jg?>$JFYE)R@mucqn|8e3Cx4hsKB9eZ9+%~F zP@L}RPjQ*(iyVKs!pMUe95tP|p4@=@t)7T;R_*w!4{`ZpR`|&8{lIl<>?q=*PXP3~ z-zGkP<8q=NoRtya=J%7xr#pB^d{Ua+nuXkN$};pTBU;Ua&!3s$Z_Y-5I{~Y)&!|7U zF~7Kx^*fVa9-w$WBr!iSn0e%W-u>+~Ot`1Qk7tUIUGI3Cx+gEvSgt_|8uukuc9)_YEXkE(Eg z82E`b;HJt)#IO6+T#-bdd*O?IotH;Zw`Od{g{0RddNEfG`Tkb2za}o~4?@49N(IC( zyRBPI+)A!1^;Ez|o^G}b{78R}Gtogj)^8!W(`Y#25i54Fzt5-Pq?d0p+@)8&a}@l= zw)1gG#G@)hum5a|Jh&IfP9|D{4! z^SA~d;W{bT){D3*keB=2s=>{Z-+u&uQh~WwG`J4(97^1&m;hhl+kx}rTPK>hj>^dK zM0v9RC4V2{w#j+UTi|Ql6I6;%=cF_)Lss*+yx)V%hsU}T7t6+j+nc4}V<*KnB%^kSk6c=j=Oy4C?pIFd zQ5=8hK5+B2KF(Puh|fWFtr_admKrgi;xX};pf|xip||7ZJmSu3=Jwa?h{yc$lJ5hz z_wcwTf5-FK;PY&XN8RB3+sR?zB6rF(;_?dni0EW+`#zu-`Rm6S;bU?v!Fo}ih1QW? z7y1_Qh+Q2qUZ;TTM_eQ=;y9?DKjExQX$IBJSQj!hHKiaJ%R& z&Mzqrf{U;IWBtoK(5tv#!QH^0cz@XZFW;laPY0L1TS70RPlAh7j^F;!0$dy^5{7s# z@xCg%)Mfuir@-~4vhXnjF5o_6szd}sA5fn2TzM+St79ewd#A-O_sryeXH-KzO>#rT zFP`@U*FWawdh30mCHcrceD3He--4@bvIdh;#s=T5nNh|^|$ zhjT{<&EtNfGr`BSevJE=YuLw>^yK-Li;|xCqz1q0A zD#fqj*Yf&mbez{|;A!56w|@e6>jrY&CZ*peH}Ln^YTG^Lm5SFu9$sB%|JgG*&I^I? zaYyj{+PzJ1j_6i9ac?)R&%$4pJc4*^RP!kmzgv~>X>vnF_~@SH#u7IkydOH{=W~4~ z-0MqRM&H5ua*K9H9Xc_^aGp9{IZk1BaXoau2Y;1sH?PNo*P*vtO0Oaxu|5UyIJI1G z6EX<*98o5i^Z!)~%%g4HCMGFOuCB-PcuVF$-gMBxrNre6){EbKz?Emr0^*`N->0In1Fpx6l*!0xLwZAt@_td%zq1?0Da$ih|`?n=SmS!IE=W{w-dOC zWFNKa<5=Q4xD@k%$Ly2;Y!C2zUpNoXUhw)VTXU*6`Rx22+!i^?b=%%lU|Q)#PKKpfjIT?a6C7u@A$dKh6W=4vR`4WJDHNe z^XTUXz2jec5&2m6Fu0D$1id?!=S2=l1y`5&{BlN(TTXg)B`GCvpG0ZP7 zVV~y3XF>1J`-5EaJ-97ec_nev`339$9S$xV7eG96XB+0l!!a-R?y5oF)bEpF;3i-# zxM-NS1AK%6*WC@cF1d~Ojpl8TXPYsU=XY9e+)K@0l{x?Cda+N+s3GL9GnB>tV;en1 zp3UqE@#OECy7#Evy>Nu!ACA6i1MU;N5G1>4Le?iR@M zH@(_@cbUHo-azloo-NRe>wFK?cXP#q=Xei)GqD2iCv6Y5OCo*a0pMa_e(Yo7R8!Qy z$l%L)Sdj>>ihqUYal3paxD2igE_?lpb6I_R1l(5f19wLyPb7c0WE8j=u#NqFw@ydD zBi4hvhjxS89v_2=tI;_Tzj@yf`>=`Hh5Wm(y`dM=o+5syg-n3YISH<2b^&)&+pQul z_bB+N8^2!iPJ6F2KaHeUIh^O+?%U1#L+54zq<0UjgO5{p8T;4EhWo0TvIg9yw&J{< zOu>FGous_UZsGpY>;c zVj0G(J}qGG)%XI%tp}gf^s3I+LOkva56rvsN=J~7_&AAqts&rMOA>x3QiUqQNAF(7 z`ES`fn0!q2+^8RC|52RFYI5~$@b5DnJ~HSF=hHon@#=(r%+Gsc{kk)~@%%2@@bBbq z$;0qBqx+y=J>&}X_Q?TowP$NT^4HJ(5s#_y57xVCP<%4t>G?DCCc|y?YmyWBzL)(M z_IVq^`6)aNbtS^KvcB?5_?TUrR1%GA{ZZDh;NQ8N83V_Xzf+6Xo!OHEdi~V~tUHrC z5qkGXAo473yzwI+Ic+K8bf0!Zzw)WYbD|x+oAWv3Bz)Z00`p=P`g1&iV=-R2IB+ic z=zFo?YSAR-U-DpFGCTKchRp%j1+MdYsT9KTKX8y|8iR^ zzSw<_{rC3oLH)W@&qD7s*~$7P9ePn7Oz;Ty$$yUL_sy(D(AS6umx)`UH>*yJC2p68 zvQPE>;O?VvMcjmS1GgLb_d)rzaU^`oavkcv!MD8AbYj2YdtGQS`z(IQ>-t2yDEJQ_ z4KAzm_o8-g`tONf4Fy+wy`dMrvGA8CU2ro#JGi|+4fXGOas4<|Zy-)p_3UW!mvgtV zf6!BKv8FuEJ8?FNeV*|5;bNLk2;#|giu;}J1Apgic8d=MEDPoxEjw5qAoA;dp{(W8TFLgY{*L z^1P^u?V0CKnu2~S_2f9$4FT7IkD-_E((CHsf7svbg?rUVuRZgkZk-yPd0%=w%HNy% zo$xDs?D81YgYM&reCqa1p_enm&XZ0yYJv447xR9iw$0)7GWYsqYBziM95kLsd3~j3 zXi5F5)(_zCL~cMn<)T~VNw1QdaQydcVtv^>^-$+_I`8xH)kO9mG$5ROoNj!7FlV2f zqtA=|Sw|ALq8_iujOowg3&#J1_L_UZ#lDj`XWf_87J+}}b*i%af~#FiClFT~M)G)P z_2&I^S)n<^?NiRPjO~kj$~RYWueKwj5x<)`5P4HQs$w0f$d~N%Ls{s}h`}q-@4aQ< zZdiM8(flONanr6JxbyQ$a4Y*xBfazJBm70n)$Fru&3NMGJFaKdDv0$pN)070oANr9 z%bKwN?=!v8@3{i(6Y~qkD|0`=IW8K0;5cuEpdO4^xg0+C)r(X1zx|=8FIKsop> zf#uMzT@?u*>FK+XxE%Hme8l4@tarJ{XAN=pO$xZWu?O|<*4qysk(vwKo!`%rPP9IT zIGy7B|0=4Ti*Y%zW8;$2nswqX9#@_H=+|lUWgz&~>+ByQkY~5SIgNhLW(BvZAlJj0 z`dn{4ZotP~P?P!Fcaumj*YJH<5C6>Z$4)Fm{wDMjeDs_ore@r4{vP1Y_-2dAUw5Ab?tb(DH_JOCPF;oT-0jl<@#r`GLJ|LSzE8^4Rl$Yd zi!kC&sq}MgMMaK(S78Oc&wluu>e)~~GC;=@w<{wtUj4^fa5s731n9G--z(;g09QSm zW8K+VH#yJSdazFy3%#1i_f@;6Ke%{43;l}N3fynKso-|llIi3x+VlP(TKC4h>s>vz z5SN?FK(AlC;(ptBVIMQc_#BZFYvbH;ca;fGO4FOC9KW;i4)U+vRk&}caePk`wH&_J zJ^W@4>E)~l_=|EsqHb03lZ&WdRlObe`zkZ??|cZxzNA0wNzcy)a8q-6Thi;9kD)gO z%V0luNBV9eF8qhH-s1)0cV``)NZh^2_j5US3HBxD{zAl~GG=C<%?aG^FdyuDIUBiis#1+sxFFJwS5?<4Y zn}QoS&Z6nRBOLIA-URFgw{eA$ANTxO>_2wIVQ}^8H}q>uZ0Q3Zp9}2&{RVJVC#olL zJt`I4-7$;x1>?Je8-6}Dp;^Jji6KqBDV~A6pV)#mv99f~+k7tkT$}st_W|{+KI}&P z&WZZq=IwdpSzizDPd;i!cW^oQ3fIrAY(d2BVBR0p&+E{yDO0Ws#pA9xhy1&lwxLes zak&)n6femB)%pL6kLFmn* zJUm}*!p9<>`yIhmzB61u%SR6&ZjTiJ*B-0j<7_KkfVjHJ&x!7TN5J))!ua06Oi1Q^G9q|1e9rTI!12lefAhQ|&KGAHpCdZ@D%XFusS8LiD-=h5OqHq_ zuX}z6_7hW`pF_pK->|-PgJ$?%$W*C?er3~l;LiBi2>8@}jyQGU-0)FR4?~ITrTo2+ z+3*Q^`L)M5@Q3^yCw5V!X@Shn2y_s7FbtrnSiX!gj;p6HECLx5v}}@3b&~zo)NN;{Bn21I&xFIiBZt zclT)0t4RJoe6yU-YrW_Lcv{o{|NS4#fKFY?`*O{Fs26K9O`!h=*M|SUP5AM1hU4KA zO!e&O?Yut<{@uV9S%&W?-Br7=&#D&uy|}Y#H}*YU?O(oUv{;i$^(VHcV4t*^yI?)o z?4!Y*5()m)ZW6|Vn>*z#y_Y}Sn?n8S6BW2$zlk^(M1@TAiJQQS%x850SH;T3Lw~6; z)~7r@7yc?=O<&?7s3f=wYYu-KSs@ZW^{#@O&tHLy&dXz1N{b$Pt=vVe>K+GBq0jsf60uI&7z F{{gr3{00C3 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/12.npy b/MP_Data/pose1/16/12.npy new file mode 100644 index 0000000000000000000000000000000000000000..e145286ebda0ba37b9fbfa8dc828af8f077644d6 GIT binary patch literal 13424 zcmeI2_kWJb`}Rjx5S>+{jn3-bD#=(aBw9qURx*|d5+OoFiA;!SE24KsT_jfTB@-Kq zRaWoiBCE5k8Z5q<`DoO4dO?wH%TN2jj6v$04vuIhlGi2ft0 zHse)W3~XApCa*eh*ocuM`h^7!8!;fr@^<|~BZ4w{#Grn|gEGHYtJk=3{hHNl@@W45 z`Y$(QOt&rkw`b<3N&fGu{dDd%f0&Z_$@YAGVZVzV321kAExv5OGoKyzZ9D(>3))%d z*VLY|4(*O7wW~j9$?Zdri;3O(g&NS^b~==bmjB z$#t*5=ju$fJ08@o_s61LZykbmQEV2q52JQf^(y+;C1No?^Tg+Jij60U`ZwpE-nG7R zdc-yRse8A)Xxl|kdY;$4it)*vAvbNi3Ll(q+nwcE{bw|y_>+pA7v!{J}raz1;gd+6%6H zX1~jT>Xes6M)URR)m__e(sz?Sk1M$T?%f+aUu@r1+s@pdI`%tX?}BlQQr8ft>6rY^ zw)122=(+c46z5I#4$pV2cMH#-%7wV~rzAXYcCUMA+hs zi4z^$u9v!F-lRw14Lo=D6~=F_dEt4dtuLMzFWm6Fv;F>CtJ6u4;Qz|2399f`6%N7{B^%?*=?yrL?kKwOvekhA;Yxloq{Nh2VBh!6ZI@;fN!1GSFMrb$x z)yH?`6?u)?1CbZua~18(rmpga zaTW;u_l2X0=}!203eEtmox(}?($FmQEy7WB@7 z@4@-FBedSue?t5!qdB-Ut;8MAOkY)PAoRkQxSX*9T!@m0efIo$ei zkBj8Ae#vp7X_{Ju`ir zU8ATT8Vsa$`QQ3RRxg8T-N@4`;3K>aM_Rp1Xp6jw^CRG6a)z(6Tpu|C?o{vqm)lEE zw_Fs;%4hkfRR4D$kGKBn>=X2>2X#RGh;d&~Z{qC-aQ6NIIIB_%^=8^7fvaK5sou7h zNVGmWZW6eY>pi$x_;QNnEZ`)#49r7y^lWhc6#af=_?|XH8tFuD0Ij z2cODM!9`>d)DO?tg>@>*+ydw8qcJZ1?{%zevF8Euz{efHyvQe`+gKkN)Ry$0E7N*^ z=sE%ZVg12PYH6y^opt9~ZbEy3%dRKj@ARvM{K$=MX?|TwLa+YI?+>5F7ob-s_mKbb zXQ+RccR2JcIfM3r9}dJ>y*O76T&1-_oZ?a17|V6+IK(fXkGbfX`Q7=rVJ<$?`oW)F zs1H4VJqPQN^~wn@HvC0=>c)1~#~E9gc&=FFS-#lhXSrGN8|7z70JxZ)Gs*hPI@zaq8|`jzq5ksre!Loasbp#5s+pWr-T5I8?t`xooa?n-dxX|S)# zDMy3RukS(Xw{&Ib9Z_+NryXzVQt~P3f;^iO#U@(4Q|AEmx>GdG%f)sPR&T;$z@62_ zD9ODtD8egijq%0kcY&5pI4M^QbCDztu$PwjZib^9;mAC-Y|nWUdFFFNHd@gBRe zex0&@h{uWg1g^cRf@jXobnC-%dK@FmY_pL1?X(134jYH{$QREfKH?n3)7Jxf z(~$NJ5!C|Ym5)hpLVZvV;&^l9Q@V`W;+YwbDpCyRpmG}p&SR?Mypuf=;IAI^rhebP ziL`MlIT_q!8v?F}9!B0|A*DU17xv{ie4IDyso!s+ zpjQP8(YSgp#J;2_));MlWb$Fuzg%36_P2~L5tfS~-Js`rio%EOIzjXD{xZg^%Eesp z%+&Fe9OLaL^Dhn`({3o%k-Rwp`?g-wgLtp;Sa+=AQsk4x42QoypkHO_H*ZIPwF>;&Ox#NhO}`y z1aw5_Cs3k7&cmDl_;;EY_!gBf5m*Q`` z16)lW-^BXx&_m$TH;nX?-yqNGo-5*UTIK;4d#VOmJqv6`ymT_fdHo3X0bYDFIO~6g z#v8Jg&i9p@5vNFIn0J|{dII7s@E7H6(qQOKaE&pRn}f7YbKr0+TZpi&a-+al@&R7Xv)v? zn+sAhx!G79dihsZ#4pRWjImsunL+-oLXc;^uF_oVW4@h+c+|vn^ebIFI#@1U_kzo| zSv-602G)m93Z;13|4RGV-+M<{Zi*a(zuM|4p3hLY`<37j6uUmT~53I%+_&aC12U>1EMnG?lzM*~xe2s(8 z;7QbP*doeX=fZ0&XCY^ycdB}!{!R3rIQaZdzdx{$2yj)p_7uz2@igdp$Zl}%UWxK^ zB?X*?yJ1{BcMH;c(LIf2PXrgc*?7Fw>-ThT zWL2A!zUXUkle-f1df!#L&$QkjW%aT??W-)`G>lgsTQSPha<>`Ki(?HbpZ-1Q{QbT! z@dbsbZsQMnSsxbiJ^7dZ4xGPQ+SU57D^yqNCcXDDkCmgLe^v!`u3r>IobvQ1I(ItK z`-pgu13s+fOWaG%Sn^>Ti(xtKe{94*O~0z%QKUUS{1=fqdm0lsvg4ps(C*U?{*$~75}NZ z^PoR=DNrWEi;F_7vQ?>vXbQucv)mTs{qMeA{(Ov3hT+D>)_sT*i0o0-m=P z)k!rkaORf3z2$687jWT8zrTs2!y8kaU;ad#GEZH+H}R;f``fsYl>g?LxKERnmJ8m*>n%*r@O;njd7^oe#H^LNvkm2>RCIAN9CzaPtd!}@4 zNbz*f`kgIs#w4pZtD?a95A?iW^oOUUh*hKZGJgohe_OTd& z`ZtC9g7drkz{LlS_i;0G1?i91BHqoxxvWEfC!W?Hoc%d}Jp7MN1{dXb5})wfWXpN% zI&htRKRA!RjdNM2<)ZNpr{7x~uiwLL{7wft@8rzah@ZQ9uChL&Ce;-$-5cCVYQNfY zwlf+&di{n=_Ib1P(-inTp?R0L_R_x5#ecBXJ1;37kxj#gl}yL`shY8d#`Uu|xT>`U z`?=mf75=92ee4gqOli!o`nx`jYi`!xcLsTA>(Ae1hn`jTp?KzB3$R?h>zww{DO^J9Ccr1KXnNCtLrY9U)7;Oob}O<#-U#sIgsZ4+A^Gjx^NZpPgsFG zJ3DemSs(u1^@06V@doFzy3>A}{mz!g!AGoh!8%omyD?t&E&yBwv;mi<0rDfeKPNu& z82ru1GpJkM^&&Wb^*gxAKUP|Q@l_%o_3A0syINL3SuTJ26?%E>KJu({B%-d=>J8u~ zdnEGX>~Dti%enU(xLExUe7Ijum6GYB+|$7I&b;TXuZbx<3ZDf=qhGlvC-nM3Q>;6l zxRZPygd)%STz33_%kadM zOwLct26tY>fb(1~7?N$eJ7yTNB3cW zHnq+}&u%{jcUHRj+kVA>)8L{!tzWZW_px#E4q@Q3;$`HS&6=>#>Y3Xj(zl{@DvBJ8 zu-p_K1Mbu|6zAl4Ww{gTNBZvPz}4nX@s=w-9$c22fP0!QnE)SVBEfav*L1&%C@}>- z+lPbmSy{h}p07vatxSIp)*m`RZyt;y|AT?hvti$YJ1d5w{++k9e%04>inIH~aO z5v(KTHV6BFs`F-tXQq!ix0n3ST|&PiR~a9xH<47I?8Z%SbN_WO%SDJU^yL(&&jNH8W;#JrnMOZ{fAH* zZ^xe4Kg}{1oU>{U<=LrEzaOg9VAP3eG#&Av4?oXwzBtMER$70j z<`VMv?g(yP)R~QVs`mvq!&ZRv%9`$BCeO9Jq>YagfUYP7Z!iT+I6lu9hV^|mB@NxLC;Emhi-?$6n6nj4* z9`$^_x7CZZ&6Lj*3#kr&tBrHnl=P!GH|~Uwcvld0=yaP*G@2HZyc?D2El!}$sUJ^$zjF5Jd1vU(mkhWIEKaJg;-d{iRUxk>+?;wjK= z9Q?b))4cy$2b^#FbG+p$B$W7l`u#`DQOa`jXfOQr&2NwgQ>Nxp@U>L8VmrM@o2}7f zENAzq4)xR!==GmNBEgs4fWP>$JLR)z^|6*a+ug|jcwf?YY>)Y3C$jEcN%Z$z9uN?Z zehWQ?UWNCpzp3try5->okbm8b-jB3LcI01e-a+pd@pOJUvo?b3 zsMs#Hf7R(ee8l|Hs0Sxm|Lh;no z)bDIP%j$UtT1ULi6O2p$@NpCT|Do~9H(CGRqrj2qluW&8M)xZ=zYOBx8>%8dI$=5b zRe#gpJz1{oIM+0z`=s=zzay~RHqU z?<}};I~iOY9NEiq{`xk!xswQPE>!Dbx$&d-Qy$|+`abFHJTtkjc!2U*lm1?#<~72( zAp16ej~MhBbuM%Sow`;K|!5p5>dU-;BP# zHXf({Y07`)%~U5VW@BCGu)?HYe-A$T#82a`Ubm+Gfj?Z1{HR`^yIOzeMJbB&_nw$v zr_x94!(zu!aMf)p_9dN|g5NiE)Ex3(?M8Jqq}vedFN@NBgWc#u`%JtW){*qTMLzH7 z_ZGgnr=QjHM_KRPJMtqQIjZ$Y8;|(nL-|~F2KD2(dJMGOd@V@ht+)pJC!Z2f1H8}# za3?Yi+~in{e)aAo^eblsB2L-i`2gFm@tpxKie9F1P0WvZ;hrJz;mJD@zqlQXdRF1| zI{@1~n(E5+!era8Y}W^R$!20+q}LPd!?M^Lil^oU#KSt5#=b4*ECLs$qM_Gorqcc4 zX5j}I#|RIa#}VD|JAkY}`E(YJ0C#+b;XPX3kTkB&8JI6IXh)nKms%AKZU*c{-c;{H zi!j~-OThK?E8t><`)uep(*4|V`VcQyWrgL=>fV%}WqwpY%^Lc6+VMuxx^ou3!M?}O zo-PO8^ac4BIS;OfUGuY?&-)JJRUIzSKG~pdgyqistouNb|G?$kqR1OxG!}X$E~8(Q z?iyNy@$#HyXkyM{V&1lb%}c9)BQcTZd`LRe7ZeHoa$O$ z_(;F>ahCJTS-%T;(mG{Z_Mi@(wsaq3`ES67r5zh)_3{XiXrx#Mcar8d!^q(*z#rAu*Bk_zHs6&}A1?x^1r}ykIrxy<55XFSXq4&br^O{2qFz>C`Efi|VwW^B)>feby21H@%y} z-vrR_mU>+u+)qT-eNVn>O#4`5KIF~pYz)2J6-xP8^ditR(_gl%MLrR;h>!Qi{-C0p pU|!701(;v1D$KBY5!#vf>%ri1^?C5jrvLr>Uk3h{f&U*e@PB2)AmRW3 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/13.npy b/MP_Data/pose1/16/13.npy new file mode 100644 index 0000000000000000000000000000000000000000..f4f96a62ededdcfa9d45b7c4ae758e4be7859938 GIT binary patch literal 13424 zcmeI2=YP&g)W%0$tX>wY4XbAL5-ckdC2F+jbwWr)iy9JSg6M)MQ4&TFC3^1}tFvoY zS*sg;b&F+1dotI_U+}zr9&hf?{hjM~&6zW2%I}u>tvmX*?V65_X5r-m`ibua%2nj$`VSpGa=8DH-b056^mE+Df6$12seD9`e@MU7@8zp`dRDJkp&}p8|F{3L zF~)S`y!X9QKh3FZSKTL@=lwW2^+W9c`qF*pyQ9%Az9d|B-*x1fM`+JL?Rxnew5yaY zXy=`%UETbG=gmaF2ktqW=_J~PNo#*W?W$q7d+^=)k^J9i_^Y4O`j38o*R`9JI)AxO zo^v_cb#rQ03l+6D9D#OLeg(CUq;`4b3i_ADCSGyRi(475B|D#!)W0tO;*R6;&w#&)>X`@yXgFZaAH~-0T6`S5v#FS{L!#S%q%8cK*xf`>tJXNNe{uj~%xK zr^81#Eq}(fvu~+?k)`7;*RHb^L!8=U3) z&HVKkw^^4J`4$28j%#N;1<#qoy7w)f|1cTjXHVK%JU`(f@?xe0KSg_dOv(xxOP!!DaBhb2A?`5J)XBU zqY77(XlADABd6hQ1S=p5ZgK_iFcK2Mn zEZ&0hSgtYJ&BU>1 zNp_#lJ0m`&E1+)q$(A=UuHdIJu3gtD0L~_6LA+|!&6SSxp83F4!bWg;t~K=b!%4)g zv*km*m>rLnL0>%=`9ud@bN>2$kyVb{n(4vKrA5%oeB^Jl-hz*9vV``7znjCKziWs)rc!kC z;FD_+PZ$SovWG!$7uO~Kljli)<-`o9XaCj%=ankl_DcQAH-4V#xP1B(xZJQ2oY`q3 z9Ot9H18288)4WV7rosL1V7%suKk@oQW8rh>XVeuxyAJsgpAW6@O7&6go>9G=El>Mt z#qT;ey`H@XTqXH{+cWFB!e_!na9*qfxNMW#+i@0Gi}bT{fU}w*Aq|SpMWCg{-3Ll;F59*&qzZsY8d|o|9zdE2D>PP%|KE`qB z`2k!Ep}MjutD>RLw*j2(NrawXKa4sQH7A1GgADa!RmZ7L&nBJ$m+cCG%XFn@I<7~q zA^ozn`dnCj61Z#t&eG*TUCARkFu#mboF=#c>c?I?hkbxOxkmnB5g3IkmB{sw(>Nt zguhto53X-SB{_d~U>5ne8h|{oNeugsId=eDUY$nyIpzT_rgZ=}ouOi&pa6Wq#k$~`C;Earo2T&V_y=B zPJnYp`>Oor)@=BH>;bMzC)2)qYbf~_-GhGl`7-cP#Vd|><26TOp%;VGApYhzZE2%72gcjl5ytEUpl^-B@9s^RZw5!FbuZtymW(?lJPCh8&{&gggaT)AC~- z=|c;^Z5dAanG-$5^=pnUBmJ95d+sFXDB+3;@5mp7aCC&^#tgT?*c86Y*E&q32!xRN#phz}Y}rziiypD96o&&%~Ri zC;xXRaE^%iZ^6a0V_3iD`7fiKUQS6NeaSk+Gv9)qdwl{oEv~~ye6E6eHu=e4-kD6i z$~owDgD=plgU!M9!Bxl`FSriezU~dq%f6j}_^l@W&N1Mu+De?W>iI(Ich6eV$F{}( zBUxJgXSfY6=Y2#Tlt&}z#e&AP?^XN+y~x#^>Z(}-ny+jJws^Vm4$O~pP@EkF&K7&( zykm1_Q=DG|;BSNO;(XDACWGsXqrgprc+8_|O8bd^dm27`R9n=QeLk9e%A6uTCKJ_9 zVY>gwVH?18@@VK;U=HX_Tpac#{qY6W$?E;6f8M7G_BUOwAL5a{T0_s8eGeb`%Lm+N zRFexBua*%PG0qO(kHP1ZyyUZb5Y~~|5{>mPcD4mKjl!|+O!>-KUvldZ@?YMC>S5mY zA#T2erw_RN5(vG@k%)bOw<`)Rdi;idZHaK~1A5;}_{%N6SnqP)Q_Qbv<_FF?HNrW_ z{El^Zak9L>B7V`g9OdELW|P4e*Pwp88Jx57*f~GPb?Yyr_X`GB#m@yh&O7vjo}bOnP)B%b9jI*-J@rOBy!>oJ>r@+F~PQEc~I^t<9SxH>YQc+d939hc2pQ{L*) zIl`-*^>#kI%RX@4awNsSI-#%Qs&abtt4rhtH@@D1;F)TJOYg0SQ+7}E$POR9A}-ExHMA@AtjCXtN0v=q<~R!&fOu5j1MrvYPoqxM&9C6B1ijz# z#(ytLPL=Z-Wx?&xP85H?eG!hcJ5wm0F+-7OJ^W6L^S8$)Q#{^(qhG#wac##9+ezci zOx)(I+0^;Sufg!wrFYOib~Jc|pQ_RI=@HUIv2r?)F^ z!^fQYgU0pmi@Hv)_h*3*d%po(-%Q`y>G_>f;O5ADaM7klfa5INV)*JOok$-!a~k-g zkCdMQMTyVLQ`-5PY-g!o|IfH5$hS3mfgfH*`e*5(m(8a8J1!#zgR2G=!Oh`9evY%H z?ZEBV-r)Au&puwMSb6Ucfm)3%vOd8peOb!*D3neXBeB`<>8U;C2JQBRyN{1u&3;>>NtW3K1M zInFBYrucI;#5{`E^|0^ph1uc5&ns~LYIl^2lMf+(vG*3~ca5rte(%#h$yREt7ty~H zjrT=y^7*wh#w#BOb%D>R`QT#2HLCMQ;W5sKw{L+wsP8Y5|KZU-#D_!Ap8W^T4y>N) zd_-o2Je%(E7_V&Ed6nbx%hC0!{^t-Crnh*Ks3wGc=i2Hd`oPlZeoIk6V^Wnwm{v$HgMLcG}W84o-?b7I1 ztttjCHb~X$A?Z&dmv)z|gpLL4RJf3;k(~XPG{g?Xf^%!yT@iFm^>p%B` z+n>V0WxYe#Cs~#!;A~M-aMof=tkc^CW5M~6yEwo2; zz~#4Pi9fwR%yBd8A^8`qNpV(GIDc&nqj>Ump!p3e-p9-JTa#12Hx6OlvEid>9+dz$ zfj6L6;}_L;dgG&!H{10J^s?(XlFY19c)kjsq9#--6o<-D z=f=5+Q&-z0zE(Y5PDv?c7pTa zHLjC??;+r-Q4{n4;Nq4hOfL zdrfd$4QdL`w~>#SQy=Tm)+CO(3&Tz!Kk}{*xcu=V#%qVq zPH=IFhZU*cJLgg7W>A(8$Bj=gxas>3xTvgPsF^7r&>2R^eE@u}It?c&pI99OZ`5hn}!4ROlt9r50zpV0ly9HILR zd)9m&^j(+JyhH`lJXV>Bb;`0F0hg_^Q~kdQ#Jn(%+oW$p^JpI@#3Pi6SF=-C+$#A8zEJ<*0tr~R-{ z#y(!DauM90`mMc*<|{61XXj&Ih7nJHiumL$W8i;EAkXaGWN=wGZ$IZ_)|8_BkM9f4 zl7isRpOwV^qh`FJ`KmKvDSUd=eBho_RWDHegnpdqzKi&@{mSdjIzHdtY zU$TPRjJ@%GVW*6TkH|iO{Kq7Zg#V4(;5=7B#4mit4Rl=iP&~@JGPryd72vpu&jWv% ztr+Q(qQ;=#(>18yKfEXpZKh0gTs0a)yig$eRc){0{wW%MK)<$MLF{8}`ACdcJZMDz zKdpz4s^Bvh{=2_|>tWZyjc4L|#IrVuc$F8#?^Ig~{`ejI74yJ;!cU#`Np|u7(+6CC zq5tR8*>a=)&FmiF?1RDnCLhLQ9~M=XgY(+ez*+IW_??6mK1%+%`-2-#AM8K2M-;eS zzK?v?=8tmy>YQu9P1nPu4<0<)arrt6;pVF87?V*fRS2On^pCT~~af%Q9!R0GI z?6>l98S<&T0(rJYi-$QMH7w&p_sJLT$GOZ8M{ENRodh4-B0birj5&hw>McFNb>}9; z7gU*(ocg?;{T!T?I1PV2{_+U;R=NZ(XPy8Tw<80x8-JV?fViwHt|@b}5avuC;%gNws=IE)8>yOm07`u@2Q=~oCi}DPGUM!;XLVkRMd#^DT zT)jI>`YUD-;+cE_+;*k^H{p*SHh2D_)NkYye*k(`na(J%L(iv7oA`4wEOX#=j4iw$#n`{5z! zqoT21OtvcEyl#H1BN085_JKipcDix%&3j27dX4g5*TWNem~jkTh0%KuuUojSlGB><>CxTf?j@#Mm_L||Bz2zsR8t+@F=V!!%v|8O<-B#9y4fP3Mx9@`LHQ; z4yutyF2Q%{q;{@fGlcRcmTyNs?T~YAUAwAQpW^(jI@T9oJO%pVr{o{GAo@jHngy$f-w`X`CM=^u;d3i-oFrIW?&uouB&I_HmW^A&H|HCxO+xig7+wq22N9^=-@+naadOQ0# z?GLw?P~Jv1Bku7P=eXF|gW^nx2RC^W=p1QD_W{vr73tF-8s*|q)6@379iiZA@Wdd; zbr`KLF~}R7M<1%?xV)D3cL=q&V!U$mLEJOh>VMI%ZJqY_K?h4NcY4z&mg28R|KG=! zw43j^=u`#cwGW%3-ps3z70IsOmULdIm)%fTI;K%5_(?|ROTrQ4Q$?-W?tJ7EUz*1v zpAiq=8SCft>cK{EUVJg~DLWS#;5fTSe`lowx6`?HG7)vC>rAG2hJ6dY2|BO<`dZ(i zU)hM>v-pfgJJ4_YUgZBzDeAXUwFvO{-N~nHGU8X|^TatHRc$Zjr_?aitte0z=PzHg z2VAfG9{ZT=+AGoduxlmIudY81J|=QslH=O*3G`}Z1nmO>msW#^Uj=7BZ$tf?`15NV zH##fnt;9W$PneB*Fty7gPJO*U^3OcfqGadaWe2!?kQRTf(3n zGZg(MQ5~{5L#S?dc#L$MMO}kGAKD4rlz$1mxK8&~cBVJDzE)eoKR4}@Y8d^0E_>S> zd9Wc*5fAroNAcVX-2#29lEl0J10Nol9s8Kdupj;EjCFDD$Yl#va%wob9OXfHKBD{w zt()t(yhrymzP~K=?9!QN=o?0m|9ABJk4VUm{Hx18;LT9$1KtrY7C+hPdADbXlO@ydiX!D$82Ev- z->DMlJ|iwhjc}ahq5GKr{W^R^y8?rukEC^Ky6gsL!w2A4` z*YAcNv=234AU*g6 zF_-ARr%u+!cx@@KvB<+f+Q;O@!QiG)d>6;XE&BUX^KLHXEz7IHE*|s76Z2wwEuy+Q zSa}BY&02%&XMy0n(?jsoNB;lc|G^BH>w{@MJUafjs}EVUY7O`I;Oba5?1Qp%0dTWn z&@k6-0_g8Sxo@jS?mJ&PE-=}BdTyn2#k(-L7#KIparuiM&I8%LF1UW%gx1S{d9W|r zSzl<~Y}$nPEP1m%eE8e)s8iAC>`LdO3N?q1_|ORJUJYrx-f>-M8Mv<65dNm<%}tJr zu_x&~SXYXBvezoKJbPMFosI2g@!sNe3e`jVYCxf#rOST}MZr(JHNrL9_ Jbnnf{{{vgf*Khy; literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/14.npy b/MP_Data/pose1/16/14.npy new file mode 100644 index 0000000000000000000000000000000000000000..9fb9ce86b4352a18c78e23bd4864976a17c03a1a GIT binary patch literal 13424 zcmeI2_kWH_*!D+RCD!U~S!R`Gu~zS7^b*l~%P2`mtdK}TgbdMZ^v>udI>90`dVg5a zLNF|%TdcC`n>o(>1@EuV^n%5}$_)}6fDc1y>?*vQiTeM9;Mm#)oA z*Y&Gex;!uK7Zf}!xX)mppy2+#jyLTyD8x6FhYaX5#5eVOnM&2GS1$i+c|MB&|Niq} zjB%0gzGv#EN%=9!ecHNH9wnrHs`zg&!9!jV9+i$ z=S91G{T0vi?wuaE=hT}ddj4N(XX)s9zOKjLu3i3-?wb1)|GawW{7rLexA|Y(1Mgf9 z?WWpGw5yJ3{m)Tom;1x0ec(UT9zpH$@pbfXPfx$@eAwiyNzUKiq4-4g7k3?(4ToU- zA~F9p*RBW9^QO%$8vm=PWT)d1>+ZXDvnj3r^>q=y_AGSEwd zlFtEl+C6VeQvdQ;>)WoKFRFkz#g9GDxOS72)?T8+bJs5C?s?%p&4fWmUAyRz`-};?< zo=;2bZ(A6AugKO7c>Y!iw;~@GRa{yB~OeX`15sr~omYu$I_v3Z>P zRL{EOc{y~&7x!JBRKwh--EyU@`(&ja<9Qo)gxU`ck9OS5nOeeqitDxUJWqcxy-5A8 zj{J*pYpbvjnyz!m=&tbIlq8^w}%j(^5?Pk^>Jg=TN&mf$B4vkyO8h^WXeb)=m zn?IVMU7RjXb#9(qbL}j#73H<&eQM9}KE!0pzp;Of2?^rG7dtP>uPkLoQX zd5P1T^4Xym{|4M}aml1Ym><@I5&vZo^zzjW_={c1@UcNlkSCF@IsA3m78r+UbAtAP z{CfsFKfCV?^kRJNtL{5Hc5|BRSJyd8@%%IJ3i^%76yvxJSO~7xd0cXwj}IT?xEWav z@u=J@kOwyS=`85)6K5ZiC_hv4%mgo5mf|n-3Y-VungpM^6~S%S>R9)t+VTmGt0q;! z&CCdJ`+OqwqGe5R-TngUldny2dbz$f>BE1)I+l|QLa&e20%vD85%;+o;`Dk|UT~4G zJLW|{`BB5?^Bs)W1Au5yeEbX?@D4=$RPgg?9ct*ztg zcxK{7<|7{2t;i_XudE${cx;zItaCZ{UJJ*~$4bzvbgSW`dR7Pn@7{p&HaZMGtmxd8 z@QIHHm(v@9bMG=!99JEmz{l=?gZkG;J47a=ay{b_^;^6H)!UOHX%Q_KKl`M#dE9y7lUhovkULX zIz5Z3NBrscs4LrPCgztlO##=t3!r{P?CG?9;5zwV7(?Tl{$Um3OtO?8--DPJ^YL~o z$5o*Q(A$dTvEKE|-J`)9`+%#GCEzc6RG$l<0v*9+zKig;pK2gKs+>SRB`3Wu_a5_W zW?UeB;6d{LGdJxg;Q^HYQ6H$z`)wZ&|0jjOMPviS$s1H1>9|M=qxheXxa^twU7xNq z$9;;Gy(rFs)u3mwmh$<125?a=5nLab+ur%8;2gv!PDP%@?y)eC_^S5II!Fh=wa2@!; z&vD)44f^G=7I}~{LxaFWDgW~7Aow$%j_6lRyF&T-{R!zG)W>+)(c|DIWdJyfnl|0} znAtsv2ghSymA6~M-xS(Q`LrdWH>U!_JyZ3n-~#B?Jw|!Xv@aU*gvCKG6GtJR_DaQI z=vzjB+hYa5<(9Ft92YbGp*;BQ#JW(+lV>>}mhm9v;leXoU*%E|C+{)`T$lP8`B53# zPH=j&d@=cajz%8DvG-VaEPWqvvr0iP9%t+0^txquntmqnHU+{Rm(zp5S;gMO>mC~b zeE_XrwXrn$UkP69I7^8o{}sPN&lWCMj;p4Bfs1Zw>sRz14}Jd6;JR%F^6$2d&XJfm z;Ih_HIv38^P^UKm|ADI+)xcT&J?L4UPvHE0kw?sX#AL}EZeEiF8o~i!wuiQ8X)r)X&6HpoFo${YX{nqXe zfA-FA7{=Qn8eBaX2F@oJrFs1BBJp=;$>(?z)Rn#%NtxWy)J%V%A`fu*!xK92;;|&P_H`#0c;ka$wA9}NPFZ}KOLl_so z5(TciB_W@z>B_|kE)O}U!$;O31U%iU+ zQDOVQ)u~YOiO<^CanmXt`n7-M0yqBo{Tye7tAn#FI}xYJR%M9ey8lMfdnICA>SAlk z^Oy~YQ{~D^b=9`SOi!oZej1#090a}eSTfvk``btO$i6<%tK)gK^H)J_$=~BVjcd)1 zTT#JRz+f=9GayJ2GvQ<7`JUQ9m^Wi7D)4YUUrv0t_xp_`63U?-ct3K{;YW+>zV?|VN^efj?Mf}=t_iCqC{^=?H z{@H0iT=Zh8SasBL&fPaPn_^Zx4 zv0oW^9rLBO9icq;YDanQ;5Xa($a#s-i|=!zT|K@T<+$BZfZ}g^4&##EYoRv>4pDv@ z&j;rjeqQACDsl_?gl@z>V6HEj?BdY}nqj|Xg|d>r&x%n_&ko#%j|snoak0T)esg+x zJ2S<9Z8NyJ?bFWbbIt{_0HG^^WuUeJP&fH=ws$OZ9bJRxXJAn08e#FDCFWtao*p?rAdq3^@Ck z3HcNSryvhDye;a=u8NuC;xXsxK41^}lD=tqI$uuGIc4_TMLaxT4xHn>IK8j2{tYpY zHu;Yj7mxK%JCEKdn)gDV$0Pn3muP-tZ-a}4zt(a6@|dqQuYN1BUUacB>ztkyEK2hg z-i`88ac+0;;Mw4Eb~5cJGXrNkAH`cB4>ETm`ER}1+;Lqln0yv|0O$XnpXhw7ze2yP z(Q=GeBurZExZLnR(2MpRQ2(~w3he*p%qeg-EDBsL%{;;R^Jz!OKjbL5(03++4~r-6 zQ2^soZ4<{kZW3vKR=t*j8{g+)jt<^iOjzUUT;6;hw2_U3en&`avz)H`?Yvok-aY zTujV|{F{0axc{rLYNT&ffq3n*jhv4?M)xb#o!CUSe<;}LSwekqb*L2aU#fxY z@CVfItt#O9>tdY0{QftL*Y50y`DHUl^>h8Os>P_^MG07U?CWdHBfIVit_~(cFJ_cz z2z~k$@DU|%KrfbU!F^J9eNXU#L252 z!g~|nL-T7xy>O0L|5CKBE1iQ6uat;*r3D2k2>Tthtqi)6A8WQe4O-~J}c;}ZiimIO`*E|(QlRG>}eA8Ha-Yk z`|J)(NX0sIDDq~{x5Yfl5l;|53z<)OZjm2((}&(Jae6s0gz|j6H8>C1KG$)3f!3p5 zy%u@U7kxGSGtvD)zgU0OGgZfH?85wtne^Uj14D_w&NzCbr2fbW7m-H37w|89M zFN3_XJ>KBvastjTv%!n_&>z5Ujy3olMt-P*IBonn%nS3Kx()H1qW2nmjP5i1VilY( z=IT=Ti2Z{|A3p-?RCiAx|5-oKdPyf~UKZRU{ZyJqd3(V!7pF`-1TN2}z5jj~M10Kz zaD93mt)sYFcu!Y5X@5}vb^})%+pKUtYS%OJ&qeQdx?yp|!}ByE|M01p7gpm&UpFop z=1aWHHgLWvzLWD|Pezc>^V8rqAQ0c&WC3#4sI9q16Tc*_IF%Y z@_s$&+1$Dqm(14&`=On13VPA1@@1#f zyA#$!pR@sbIV9~~6mfr;PP|XV`|tD#G@NEBA+C> zIH$xK_7KlixdARigEzYGY;!F1HscF$-oh?|?&Dkd%X;OopQuxDUJ0(>(S0ZnU4Eqf zZA*UCKWp5B_^ZR&F^;qJE5UU` zZ*cuK7yT}=dm{YJum{*5RK10mUorA`=xsgv`wq(xsGX0Vl7ZqG;*EG%QWt;t=WPkD z5BCJ;%VSY*>W3I`b-FU%JM8Px+B4P1WT3yZNS2xEVbdMtQydt9e$B`MH1Ffq20`Df z6nyOD<&^(c14lTn^JGH(u!s9`E{pjCb~w)7je(DG&Q(*+n<6{=(`ZbR>gNp*M;A5WT84F(jD7cFF?vnH6nbRQ;>P{H?HBsrI=Tq`w z-Kmc|q1P1xkY^LKe*ktaZWp*1H4j__t;Kq=2SdS)Ogk@x2Yz=l)h+4!o`IfwoC z#y=dK{Xp|87d=G&?VR?c|3rTuln3Ie4lhKI|M^LGTz`Di@FC8JpHCZCz&EUGd+;9g z@^ldN_Vij>@Aryf-p#N6)bAU5-_burLvPmh1~=`BKyPwP#Qj{=SPL%CKSKPh#dO>! z)v2w-!#+~p6r=lUL_GPtqx(N!^cMRMe{cqzeefp#y$goA_}PaC;5OY%tQT2j6}b2< zKh}}nHwF8E@p``t<1V-ldi~)#%}e}?y3R*lq55P=cZl~o-p+BguMPBS$wi= zi>J`M@Y3zU<%3DczfR}`z403YF3#Pg^%%ArT(-+V@yyOz%lVt+Y_#sScL0|$pZdBu zMaE6!vo;3xV1|?&=k)qyJ?PooV5}pSX9VhBj;8%Yhfc034_J6f4Mli>VXfdzQ3KCM&scOTOGRt$Gs1`dK=yW=eC2Z~?r#CT1ibJG(X&+`ubYX1$b%`JZVve1-^iy_ zORB@ILsmE+oo_6-TH6yoEOcqO<03pg)`g6wziZ3qlXp5F{;U=B_S#p(!{(jo==AJx zEVx;)i0ZKMy@B999VpI~J1L%yeNcyDCiN?(WT*VAb90?ue=UH1ZQ;C#)5e$G<@(i; zz2MId(BH>Z^CP3dOLnJt0uIx9i7m3!`S1q&XkJPMqi#jxyf}a5`@P_1L1FA~W>~Ft z@cGE8-&Z5yqjOJ+1^@B{dO1yDy{l@mYaF-V-yok$+o=Ad^;*YySGxc3s(q~cE(-sK zdSG*Yq4;wRr2L;5JwG9}T{fcgOZBAqMbc_N$C>vv`0HjLkT-rO0rBg_8NtBxTtooj0TUBs_m zbsg{Ys$G5PxkqPkc4_z`$63>Ga4{x5IQO~_9}!7)&P&#zx^4E~aHlsl=sw98SEBkE z7#@LmyaN!YE&dxgSASxDRpCG3uO@#(p7r$}i{aCk>c`~Vfc&t~i(%l0s19wTAj(^x zsUeQDg-Mi$&z*_qt{U#R_?Vgef0p3l#GEMjG@yM_?H&!zx;`1_xLxxMdcChT#nZmQ zHplri4$jWLg5DOJhkeY((>cO3)W*5PS{+siPCqM}#_RbQ`IkX)xNn%DbWf9!W$2uW zPo}@;t{+YQnLD9wb=Ip3UBB{16N+cecgVkKx(Msb{BXY^(972a zQ4h)^d9&lzZvgZx@(txDYsr!De?j}U&A$@+5-(X4ajJm~J~ng}^&9sH`=RMe>qty_ zkXBdUVI8Ue#*=@`Z&*hr@3)Z&E}mX=zcTGh(K>BfPdRQcE`?rBqW^E8eo8;qao%e^ zxH+|*;-3~B<+ypU7hD~o|951*Yv0dtm6SmGYzgR>we8y(K6fvWfAg)ht~>PY;5f@k z?~mr{EO5JTP+P}!xwQAw>si4?|Md7>-L~J4Jn$10XurBz0r}Sp>7K7Uq(k0Vx1r6&pIw>Dl*m&$KnB zVm}ngZBU116U~=e^aJKyXKR8yi_>)wk4Wr=dEq?@Vqa2=Z&Ez**(pD{49*J`O7{)5 zEH~n@ULV3-{AQ&Wd{iI$|1;|ExxS8z@j1x<@EZ7VAMZ+ztE-XVrsHvNHh9k%=x1)E zaeeEDIQg(1-4jyvJnLj|Ca+^$^5uwV$92R&_(-vb>Z(p()U%qH_B%k=k%&|6^~bvA zMY@xI^mM9+GpokAetGB{;`cAoc&Aia>A0=A09-X01wH%eF|E__xpD63Xxbmt?-BGn zzdUpId^mg(k za2~$6uG7mIzhb;>Pa6L`7xAkHbRV#bK0^CpI~*Q+%Mex#Q@(c=ZIo3#k*olTYsV#M74_=k#LnQ^cvS(Esb>@g5P5+t>8F z5c}a9^k&DKVDOrBALBu{z-8}dgV66vTBoca{T*5R9rOj??tyuf5kDhNJ}3$I7T$Os z`jt89eO!BNnwpT>ue{g{+^qf`b;zd|#JaPS()RzXRR1jSKIX-gYY08RT@rOACyZGN zpG3Oy`1aE1SJylPE;7zt=eW5x20Zn=rtv=eX_MnT z(@U&>*7*zk*}yogYk4;g{n}+S;G=gpUhnkcm#9Sts)c80&& z5{G$FgP+oP|JtwyKKFZIzpz98fL^z$4ZXhh6kM7|;3ijb^7-c>xcO2E^T@vJ-I(zI E0QpAj=Kufz literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/15.npy b/MP_Data/pose1/16/15.npy new file mode 100644 index 0000000000000000000000000000000000000000..bdd46dac2f69f165194c1072683dc8e61cade52e GIT binary patch literal 13424 zcmeI2=U-OG7wsqZs4=z})To0su~+OeHq^vkqJqk(V8Mncpdd0LqGCfqBsPu>qhi4l zdl-9-5xdyNt`Utb{=j;fwfPI~+k1WUe4g*Dvu4kpJ>@(Y+qF-Z?)|@FK`gYIkMD$` z0o9uEYAuE}saBI$8#XRrV!+_B-s1v%d@c7FJbHp}HlHwJu)lBi_aE!Ixz(@vQ%xSm z|8M^lWQ>WX-#u{8{?xCVU&m+JyH8THznj!A|KfYtLbMzILs#&$;*{52SYGJ{9fSbsE~ms&3RiHK+aMHT3UHiMwWfoUUotQ?1{-&ln#okZ~9N zF7?OwdFK;XZM*QN=XHTw7@x=+cN5S1Wj;Xrww(A+PU>7Fhaj|ggf&$jCyE8;m(JRQ%OozZWt-q}(&-L|uZchRrYx^X&u&dvYF zeyVek?`*sDkHT}pcQSlU!0Z2PyOSJq+qRp`!N>=z+x!N2ftV-ulZ%pBwp~v6jQ-`p z(ePnDXYsta<8#-x^WGuIyYqm2v|rc9_Ia81Bc50Ny5Twb-y`^_(O%SlyJa`+^Jd3y zR2LbUG%qX9;dv4E4)OEZE$R6=%Mq7obQ$9}(Pp)Mo^99`YWw4lPaFH`RD6eamGE?} z{jO$Cn{GcvdVf5xdM*3}{bm2S)NHP|^s5QoPfzi@y0r!Ex@E*@+pd0DTgkSIT@~=W zskSGV$o|fjPQPQh3A+EbRraSW>VZ6{qkD6S?C+vftxNDdb@94w=ViK6|M%PFw(WX$ zAM|JHIuC5ScBkj{jh1LvZ;D=q|A}JPY`a)q3VG4t>1cOW{5dK$o2!=l{Y!FgH<%s(G_e3j+KqXhAye}IdK zX3(oEC$LVO?PamfRMD-=tX|J70=*nI0d=S<@(0;N0 zJNUERKVux+^%%I5Rer3yjknub(svTrf4G0(Tq0E9m#vLOj|n5qXdY{!{AY zJungayR^@%>O*P0-YDRJuf2=$I+3Hn<%8}^EZ4EEs4n{_B0nniZKAu4=REDlx_PsWe4W76saL;RZfZ;iX9<14S;O6Kmh)k5#J3a%mn*7_xBjMu3&oT9 z4)dt)U3Imb=Sm>|1*w=vm0o#*^%1+$$mjDen%~)KEco7`;HJ?d;sugX_pFHk*Mlp< zpHDwc@n;nPSDAE9h=j#cY`^O3K#FIrAFaF9(;HfDerrJbqO0J;2HXg=T()eDyz#CR zFfM1{*j4b^@h7-U72rJm;%xY2P(GbK@2LLG$|SiRkE|-V)`%W`vLO&p9UHtGpxV-0qy5dRep;rf+ zQ5~KcIo;|V|JLCAdJ)u>4$B$cDyC@hl)pA{b2>FEnMD@9#4)$O1U0-k=e;NMbNL}PdHfn=; zVH+xw{&w-+*2gqVBmI;k@RxT!p#IIEF{EFai8`0*$urQe&kx|DCG8v9Wq7FNYI88+ zXLZJ7pLV<|#=2*7Rz|{KookA5iING?R`0yd1I~6`0_Pp(q28RyCBU7l^C{1NJnmxk zJYO>W`QN_a>gMm_NM%+#GHOt^gzFC*)_`B$PDON)nXX0 zcyJQj)bb;rTYcxD-_$|iYU?iSt4^sXtW$M*59RaQ3ec+-uEFj$&P#N@J4HTSwBL=0 zMja})8+y4v1o>n&&ST#Yxk4%a7sbGx5nc=JbIkt@#w!hoh|C6kh=@Zbnm{%`@nAq%ZMf5zy`@T(^*)kM?K^;|>#>*%~Q86_gX4<&%h z0&AgnrX0t->(UFrMc@r^-XRQm5FYJGKc*ASuV-~zqvh;;wcr5c{D{XP`@27z(*xCr@C4(30(XB zP5#sFVqRG8li;f54seq(ko56Iz-y zhrijFex!Qn_zM1PaC@wGdEi%?uiU+< z-}P;A4w?Zg2iZ8)iL;1b)vty;=*bHsE!Q6#z@Pnnl+NpkzQ0;727iH`^&Uao*JHHh z&L>)rDttfrZ(WRW8Se=4S!F1nf6ZH(YWq!{2On`^Bjvy8`55^7eFo&3nw$`8FPr?+nG?!Vh}2tJEaRcW=_y?+Gq`Zxw*}cXcG*z83sN$>cE0 zMJre2LFLok?;|_ z#*eVvsks_ljQxhr{iOp}S|795i~4PH6?H2QHChb4%dg;Ks=)nCkDud!yA7he-ETqYTjX%`Oe%!I#OFa~*+mGZ~JXUGi1qZ>S>`7ILG+Hw}Rlj3|r z+=&|A+WM%GW8tsOcI;Q|eb0%Oi$zD^&uaIgJYQprtdD6%=LjoSl=|OsI?Qr@nC{`G z=2?u3KPwEq2v0@7tlScCS#o-U)vGOZPRY%`V;^wxmBBtBmUnny+jZ{z@K;|BhuZJ5 zvVo5ne-Y!-H9yu$&E}%o*N9*EYyoFiFZ8f_(YX@1id#Z_#cE&6Rb~Qwolm{M<-kX? z;J@o5{GA@TPWnS%L9YY4d0Q@~jRjXNsuN$N zyIQX1_XHQ$27*is^_I&M^giOezD_Q8|Xp4DtI&4^A<8hvSL;hb+12)*FvOaoR1@bBDMdKad?Pa;F9!Gq^UDUaH)M=58p9OWIJY=1xetqWkvYdO+ zeMt}aAMxhNQSdLJ&@V6Q(0IT4WexaB8n5cx9rdr(_mS2|zCD9}oztP<&W@-k%henD z9YEwu1s8jU$u+va<_c> zEa)X~g?uuPa}@t2PwKas3-ZtQo$6_Q%ztj+Vt8F}S<$<__2EP4{v&5KM?AbnR1o^T zUK#!BdO7#u>Tgje+I1eq8CL{8rrsgCzf~hHqRUX7l+uH(5C4|#pE~k2;^Zg#tswtB z@L|s)z|E>C?2|0vDY$;q4cyriyaYbeLnwZ)e{g;=@1IaV+|>j1<9ri=ex1bO*!R?a zcW{|piFneC3D!qfe@yYWst>Mbx&&Cx-sJ+9gXsR_Jc#yo&&E#OiWJX`BUpEGcDoR( zmz&yv^Xa!x4<_kVS*z!ftB^Nm*-cufgFJKYlkdTKJ%xD`ds?DSQ~~-On|H_pXa7EQ zv;Kvb&r_UkNmRF9X@kHY-=cNBcsS~if69&XRPD_9y}imw=uOR%@OQ3mg~(UiCN zDd6(*v@q)<>U9D)AJ&08{|>{tFsn)v_jyUY?hR@6`r|vw!|3-|7fMu^X8UJVI)JOU zbnlXj<5pX)SJZ-!7iwr|QT9`?)*$44Z;|TYu;buGmGI%Q0W^=F`(mAnUWdSi_xI3?=pL9C-S`f;5q)VM*G^es`&D~# z_S+3P@4rj>fOC)81_^|DhPy;bEk&wVn2{4ne)Gj}-L&E+_p3F5iE_K5RC&MxOPX2ylJ#;4tf>j#mQb zfrG)tyBF~1uCCaBOu0{#=er%2T7NaA;X^#PmF@}Rd9%6pyI9@|dVa4x;%8&)Vn5V7 zPD3wVH@F1dKVSWBKb^!4&?~VV{W|+!2U;#`(ci7~l{n(%>x5Wt@)v;*TNOreo;^kN z*{mbD9$Jj_4PxVg@Ipx^XA^s5tGXg@r=U;^}+ zZOLD4gO9V*C&qGh`m0BHu8aW}v70v7?|g4E^lblIaJH%aQp+7qf6tWT>SI4q{Tg|s z+Bgdhr98YZi+#+gS_<{AOAZ8gMji$?p|p>&0xQ9J;YQ$Mdo<2v(d`JhDCtK$A|urL zt3PLet3CV4r&{kBmb1O<$p5Sc=iyaRha$27#s9P|?ZZu%V&8C*t)={*xIfAIaL>F{KP`{pTsE)9q`-gkH1aw04b~|?6^ro-w*l0z z?ne7hnY_r4xbhs_xqJrxI?tK_>toJb0%x8liRW%U#Bz3PFye87UtzuTfHPs1i{@*g zmrwtt{5Kkly5g7C6aRS{<*ob9u+(h5YP|(q^vNWj@`I*5{; zqIGA==7V0pU5Irj&+UYsRTzytJH4j*S|8E*H^iwc_C~+j_sv4OGV4kZi7N%tS@~vnAVqPJh(Z~A6$<3Hr(p@^FE~am;^5THq(A}Ag7-56+}F&e5LB> zcX(mct=!`YuIsP#akueEI@iqK38)9v=`Z9{7ZuPu8RKakefJ6V@3g4~t{Tt9dNHHZ z!mN*8Navs`ej4k7m0O1Un4JF*aq3b#kx%ikfCuzL>F>Nw{^qp4BFfV~^NhH97E0^! zzt{*HzoTiNXU!j^+2`5wmY5fokaORd)f49_58Qy?NqDb65T|Ky4qPP%EV0k=XA<$S z(mB7cUMhqAQ2UL6p4T3L{ZrTOvcT$P!mrS)#F02Jc)==@Z9J;!OyYk`p>v_q4_HUK zz`yX(T`NN`_MJ{dzXO+2JX!SKXFe37{p9)pa5ZWj^v=7TI7e93Eb_0u30zK~`wwqK z`yO|~NzY4+wEnDgFpcX+`a3oMZDVuv8}cnU|9TJQ=l&qvGsT*B6lakss0Z%vveN3+ zpahCDx*77|)EE(tP4HnD13O6 zr0v#+FYZF)I+O?T>xs*-U+E7U!5z0%REK%DkFY+vP;ZLo^m|c4%;uQG>H1WM!$FQAqT=OmrFds#XqMIzbtcSne~xryU{OO z8iKlI1q)!G*B_{^gimGcZ!EfIlJ(*4uIN`jkEDEl*tW@XeeEC0bBk!KcjLBsE%@#m zk%i>ubSEv z=a=-O{~x9be?i_vk9UY)OwCL2WR*cZ$Ud!6Z}P--%7cG1;(oWWu30?Yht0wKv>&d_ z`pL%Sw9BOU=N(4=wQD)@-$d~^!3Oc0;j<#GUY=}0<0{gRxNE)N!0!c8JooZ~%MoYb z!+TMkn>Vc~9)Fh*^!qxJ^6*U)s%MWGp_Z$6ew2rw8-VMeeVAW1XCM4!)qKci@6Ncw7N6X8EUo%CM~B>k7AlPqV~>AtGw4+GaRvla9u ztI~LVW{`gOh8f`AFKE1?dg$}35w+V}@h z{LX+k$iK5AI>vIRJ>A=RN-gM}pu_lkuDBWoe|Fysb?dxJOhCU`?ZD0D{4_6zdt!a@ z9dtiYdy~O=@0Xs?AH7dLx9E2>{=XZ^mOG_JB2FhX3-LP}>rAnnC(*rKq^zg){^T#5 zQ~KFw8rR>esb9V@#_C0HPU|Rw?t%PtMOsI-XusvNK4BfHuuW4^t$qmIuUPd;biSl4 zMt(%>3W_Jqn|L$d2&>mu={_kgZ6;o)8uaYH-O$TRRcKv1_30ki<`D7u^d6*6o$F_P zRLwMS5lDZ3mqjM^vD~z~L;BJ2h*PI`?1?z@(fg^>vM9LB_w*O{Y(2k1^~ugRrgfb{ z`DcUZp3f`fN8Z%Lf|1ro?`Z^oKKCZ_EVe~R_>AZU&Kl&r53Ue_mg^sPkUnG^`ZWW? z@jJg0dY0yK@h;Sf*mrlC)jJQ0La&eI{J+-34`Jvx<{I$=Nyv{no7E5f&M6Jgf^)~@&zY~?-%wqBJWqK}YmRtiKKeVg_-@-Y>#ytHfWLA1 zj`DN(3G%5uibAipltMiG>06AKSLh7xe7TBsp|`9bW_{$DZ^1>AWcWB?H5-ACp>-in z{spcV+(5q~Hs@Y6eJJ8|cD?n+xKd`(c-tH7w<5F*?n|uDNcgh~2Wg+|SPS*ciqr?! z2g7OI6}%B;`*p^7g3Iq0Q=RM`9%;E)@rL5edjs*9xvf`Ou3Ii4pEWb6enwrxI%VF) zv0j{`?PwnBMsKis6HoiCEEWpxluH_Cxr)g-2g7n9ev|kLbtQJu`=j&d2=Zp44kn~# z>sj6<7_VG#4_q|-cA@3sfG@ZnG#s3nx+^W0i~50!{j^US^Fs^UFTY6ZPF?wQ*?woi z5lx_f`T}~>FCE+o=-A1&JMq;i5Anp+h92Yb+*`U2XxCh*f7ZDv&PVe(1bQ_k9o)Di z$637@;e!0gvNcejEI4x`d=5+UuY3UKg>#607gDS0f}290iGMyC3H_)H8t>VX@G(8g zhFUIG<@_%6JNw$kf`qb8el!=k}|K53X?oVG8 z1=nxO1=zY$;Z3n$oBl(eSiLxthWirlf0y>_4IRPdk(XE(W;fkec!OwgC;Zh~>tkkJ zz&^|4TVoybrahNfuJ@LKk2-Lh_UVSP>%kAS!nqJh`? z?|f;M1& literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/16.npy b/MP_Data/pose1/16/16.npy new file mode 100644 index 0000000000000000000000000000000000000000..e29e702c0e25e089f11422f20f99ce2148c03115 GIT binary patch literal 13424 zcmeI2_kWMc7xo8Vy{~R9Bcd(QMVHY#QKFYY^cD$;h%#FA8iZ&QR_|5`mW;Ye^e)2a zeJzXVp3HUf7d*c{k6%8o&wH->nloq4ocq2%5z*4Gg>R=6ESQBA_wN(bJFs|lUc6@C zs>Mt5;(dn&jtJ~Iw8yYO|2~d4>^V57PZAI6-!q_3()SYOy}c`xE?Jt7<^Q+;GBCzu zom`K6+-IKlx7;V2?e#o1>4P8r`Nn-0ujgZ2&pUk`p&Z^7xoUy8hB_jO*1j z&T`YZ8r=S|yH37*Pvb|DuP>B*{f5pDF^|VDH{7SWw-o-SGmV=wFCRG0Z@0j>E)|J! z+n2`q+%Xt8G2s}uzDp>+Ny*pezD@IwUV0O8Gzq>Po8+f5&^YV-;=beJNC4Jv&J@1s z#`&mZ|56FG{_6+q#a0?;gId3KyMHU|se= zG5E2L6Cb#7?)l@D8<(FC;5z9u>%IHV#;%KZvinU z`?!Afbjtg_+3*oF>pykZn<#%=Z{`SG$MPJZ_4n&Q^ZWmk;I7vz7h&I7`Tuaet@;?( z%P-Xu-MAcHn&Q8;5^?dISFnCH{z5e7PuV5R&BuSaZr!J4?=h}doLb|)tC;;0-KPld zMC+&6S5FN5!gp5l75awEp|;+4JKIP>i7>Be>AT)1AJ-j`A&eK-G> zyXUwpkuI@z(x*zOjXcQW$>Y82T*Y<14R5<~lh6Ry+g#m!=`(KO~_#fr*=39)j)$h-_aXu&H zog24JOQUW@qHlup}YvBCxooBm(~y}|j#Or$Rz9^m}>#=I0yjYRAtTQes!_^U{o z_h>Bkk=5KCdjif6e;f?{+=ui>JmAl#jB4jNYm$z5 z%SDLChWr!elZ3^TV5*0lgXx@mkMRZ{QW1JSCAkg{*Bj}$4fa9aSm_{I@4HUXj`Q`0 zz=cO0aN#j(y5puIhRc@Nlwql z)&mz)vZJm{ftlUFv%MgFWMQhGRwr;ym5nET^_g_8GrwEy^zzkxNOri}NiPI&Oz`05=t`Q{LM7Qhw6Z#lEPKp3vL(Guk`7 zsC=39`A)#!^v{SmSI?^9)A(s#*~GG;fzW z!pHFh34ivYI`piQnE`#})HH9StK>86ZX3tN%v|8&**xUgBrIv=xV^Or{&KEAxVX__ zv-9VF&Vk;348*!r_8;?{Ud}%R&fhJd^=ADYeaTFq=PK(z2R`iHZ(X1d3WQ$9jih-cjG!b6rAnO0WPXkneVt9@qzL@V-L;+%bqwt7Jf&-ng74UTQ|iy(xFQ!KSzop zKm0{}xYP5kE5P;enaG1aUjXOJdh`c3C8k0z6KeT8y-geo&O;Z0TmOZl9M=t#`$;10 zFRO5D5aQ{$8G3uL9Q=9M_$bVKbSF6TE<-+f3r%pG&AAS)zUKqyL9tVyf5Fh_RY>xA zFZ2)H7nUSKZw8*g`DOXG1UtPQ_=Efds)CERHE^GjRmsN|y90l{LZLtKi^Ro$;lwBA zfSxC$p!-ftb8t5G0rDpAZ-GDmh1Sb|>>cmsRX5gBJk7^IFY{%d2wr#@xLm&p+%AvB zzKh25!Nr#Q#8ZVL59&li(zj}ceH4E6COaRUwh`(}9PFd`PW?o$x&j|#TA;2>-caaOr;Fe` zM<(P!C(!ec>A#!w#YRFe4`qSgUWlf?x8`byo7X-*i2Aqw6{&yj7))DyT8IsxTCK{belrfd0K8#d9kT^YXY{=mXO0E&SEI#`GK&-izw?N?UM! zz8>y_)~{q&7pFLX7V*m(#gPYg#CtM$SS9%L@5gb!R)wnjIc{QpK(9&;pyz~M9|wZZ z>r3(U_>1ndz9+FRmSPgP=yV_XWc#;8#X6rMv&d)0Cd_NE>Uqw`?)^^joLC61>J|=k zod4Gn@!OEUz|H2gb)64ueSp@rJ%r+48{XS-TO$?bHOq36PotN8q0d#7*0p30;*`Ay zAH|8(Ev(D(n#i+kzX9>E{OPgp>{7uwE*_TW47g}N2zqg;V~FGCCOs$UMFXhb zVzT3TPv&Whc~#oW6wkgII4`1BLCVAS?i9~fy~X+1D?OmsuiJq0vI_%U{Q3>mgZ}6R ze?9i|SjX*7jy&)R`zZdXC!?H?x*P%@@pUxvZx@$Z0-v;lFfY$@=8n_pC4Sr7Cwp8L zdf8wKeAJFR{T%1%*MPIlS>U5ajalh@%&%Q(Up%i~<}aXCFD^s-D=>XXBLmcyr0N7BD5hIn+|Bg=>nLOlBULHO$r4EG~- zgZiY-IvM_UfL$D$vVrCehqq?_zTAQ zhOc9tzkN*4;UeT5*2QwCLp&lR7W1;fk>GN9$P%Y#&33>??A%O!;9&vW7g)_EbYBR~ z0DtqU$QY*=GcCox`UbUk=LA-1#^2v8vI?k>R1sB^( zfs2XPT01UwCHK#`?%=9ix5hrsC!{dqVPW)p82|KTo#W;Xy^q+Yx1r~MM@q+S?_ZH0 zU9dX#MTA_$dAFSQk+r@EZf^EQK5f<6$b)Lpk?QJPbcBn?&Zd1d+Xg|;57n6OIJ-*s zDdqo+);sZU^kWDGxt!g5f%6gFno%AeU4g&I{R(-u z`{;h8#(W0nefNYrAHHuK@~l#lQI(Yfdo z6z;h8ru(wse}h}u4$n&}^)dLc()qD2)wcumYVtO4b6_Q{w`|E#&WF`Xeoh$I1wO|6 zWvJt(8$A!mO`XBj78wSfxh%k;UbDM? zu#cO!2hFR}`yijX$#;rBvC;SoBp;(y}K0NNhM5h<=bKtLw6u^GT9@Ba{ZYq8xp87rF zL{KkO~tR^Cc^~mqb?jtb#iDNxJ>*6 zF2noRbpHAPy+@mn`G`~X8iY9Q_O29voz}RI*y{~vLf`!YeAu*Wh)3+nq+C2^S7GRR z>GI^${^|(FW$nw*+rQRfe^s|%yF0G?CQ!c~&=++mOWs)szF<7`VmX}`{x*KR<08j) z=y|*6q|cURwc~u?U5Y3F2ymWa?$FpI&N7Xld=8+$J6ON>h+hULzkfX|Nd0X{%H>Y4 zHqm>N$=M#W0adVU2FU*{6$b$**uc2R44*nu$6Z)Ply($2_JiWK7_rc(*So<)? z*@YR1le4kJ<1&nc|GmcG>hd~p7Mmf&aZw~6xS92q_@2_e9JiG}QeS%Uh0fRKQ^>#c zZvZYQUP9g4-Q!pLIDK9(ns?Y`)Va!?HNbIkZy>m={vYvLz6~5_1NYFp->-p-uc_O* zdCi}_$>HfvbFIj>|E+nxFGAAF0oX=I6oLtv2YxYDXR9S?rwz&i@MQ<9uYN zBH--rp5P+iD){rE9_T-E>ks6aPv{us{B8EikKJ{;dIIXl44N?u-%AP7KWIqn%He~4 zXyVU8uf|oq>U1iu)CTt{x@>};6XIl=?+3llN~^9EBqW@uG97b^$# zb=;2l1^zZwNpN*zX{h6TQYCP)w;Az$c_%^tHWZva48XjyX5I+!7oTap5AstV8&+@x z_|p2M-@2RP=`eSm<6=gtC+?F+JOno-E^l<-S-Ne|n^~X0dH2y#j;nb3d!|@M@7+4@ zgL<*<`T>0~ujpEc`k2jy`nReFxW01&T>XrtKDJF$oXx9(o2H|2UpCoK5|0=HZu{>? z{}HX|?}N-E7Mwk7FvZPl8*U)|jN{3N zEZX^~AH>DJzSJkzc3$nco-iIh;`8onKJNRju2bD7@0Gmo?T?{u^~`Dmp}+bE{MCZZ z@Zmqs;de0Bc{RAa)E=Deh(;cG#u@PE)BZt!P*|5L5Paovd90~(B zo&n(ML6hN5&-;{sk7~IAd6st?qdryBw5T6@{S@7=hpC-TZ>LRykMzibJgXJ+Y2Tl8 zBOc-lZky&seoViA!P(A>@D~xU12ONfH^9Y&bKoZXpXeLvL@&f6qCerhvl2n$oL>FD z4tgE&FXcJSK-87qLUkhYO+ntwl4)aOll07UJH-?A4L-bVy$Ozsx>SeePTI@PSEoyd zc-SR6cOo$(^m2qTTzXs~|7kDryAbPg4O|3%B%hbBeVxC~b`hMLqcrd8)Y2!3%O*oeAMt?B%fN|| z(9enj*N+cFZ^m8=bX*Lfy3#w&5`UOQInK_tC;hernzvs(>QI=m;B3yUdu~3nv*2*2 zmyx01Vst9vJ_W-aSLcGjO(XhU)KvDP=X~!$ z*okx>G*2#Eb>H>bf10>?d0WbxS|3AsUNr{4Cx~+N_gwz87S0#*`VD=?>>@6!jEBDn z2$={UKkDGxIhuH`7lweL{qRnDI1pJxBYxsI#rlxOjIAl)zCfM~$Q!@FagJ>4 zzwpsli$O24rK0|Dc^SoXo8J3u7Vr7+Z`vK)oLUFHY4i#A5k2e+?c=yDF>6zPP0ET@1yRNhw#$KgX*3_Ic`gL1-HRx5x>m#av6NQ4$!ILS zEuPp%(|A9)v?ZvIm20xj`LLEnXuUh8!iUwrwi)xLcn!T+KO5&=Y&rXfD7^oW0S`1(LcdipVOF^?~LGEidx{NM_Zh0J&^7@!Z$O{uUfvSyz{X& zzQBhqK2G^hsDk{6+q>Z-zCA?z>c!c~PA}T|(7GOV2Dec?mpZP8kD_>*rvqmpkKtqf z-9|pY)ki#5j2w-5mrem!ud9K}?-#-x=UeH1AwE9GZcU&+JaO3@r^ofhm$83S*`$+b>bl(}YO2sDWO=HS~ zu>a9{c{_Wae)aC$JH?D3$^FH=8HoeA)N= zuwK4?JMBxOT-}`B-h2$b{*UgPnt$EmxPCMMdbQ{);@5-5j&WSQsZHE#BhI^dc#H09 zfhpi))2@TR%6S;?HFmTIo!`mturAxJA)TYU)Nf_q)KrH(+Kh=!@;5&8e5Kl!0yo(Q zB0qLV@_S0Q{@}7f&52GgexdsvJG%#5Z(-1@QwIDBsU;C9(bI={2C zb#$Dcyh8esd%=0XP3;`FKkgGR69umP+EIU-m5uVBF9+#2s+K-3o}+(J9%@%ZU$s%8 z$iJCD&-rFtI^<10&N&(WLEi8ezurZjjk+$Kk15fP;#_>6`0GH_t&;S7YeIKpUKUZH zh4T?h&SPG2dmrjVO~}0*K8LfzNBO=cpL!X`Ilcam`h%Lf3HcG#Vmdp$ip@{+mi9-S z>~X_IPH)Z(2IsBl?~HQGOWb!@Ust@w~*x52E<}4B{7UI-;J%4Eh~F zFPVhA$wuX;x_Rx%uF#v4k=Pe;ZsTO|bss2x?*zmn3wA@_mf>_?mUX56Fe$ca1{VC7!wN^T=ns*|f@E)iiK0lrCaXwo&fU8Li+@3#H z5&DyFNT25JHK${jvo*(OXes1@mAVHmd!HNbxV+#8t_P=ukNh|t`z61GQQoE|p9^+- zq0nJ^o2xz54c#P`57o8}%_YD;V64_U__1i>CjV%dRX1m-B86cJZ)?Dzq;T zqOtF+#$Pj>o_n?e7axPb&5zMD;p49P|Ns7<%K*<|sjqeV@*MT?JRscte{VivEcL;I z1HjGmT>-AH_}-T2*F68WXHGBXW}V@<7`zt!njabtZmW&Q`<)U4aX;YABEeP7h-jxb zAL`QmHD)T#vHoK=`lN|!0w0sJ_*3UENBgXCdj6vod{oyWH1Dm5O_+D+X>j9}mE!O8 zbQ`#c!+BGF7vazLhDX82FBRffDW}7qU#hSH{6Q4vwZnFh|4^^3j;kll;BU(=guneB zx!rN=H5BKc^<7AD?)rT-d_wymZ*qkv<)KGC^6`9t^~$|D;Ul8Xz=u^hhj?_Bli*s# z5MR|5`=XmJfe(*Oz25oDUiAN5WtxxRy6sw8Z;SV|-hdJCF|+*Pqt_omJT}d3aPDzz HTkQV<0=D$( literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/17.npy b/MP_Data/pose1/16/17.npy new file mode 100644 index 0000000000000000000000000000000000000000..dfc473c87604435762ea1cc873712d4e2bf5712c GIT binary patch literal 13424 zcmeI2=U-O27wuykb?m+CQSm2M>|Kf75pnF;jUqN|6agy%5$s|?0b9hbh+XVN$1aK$ zE90?a*U?cd4416UUvS^v>zn8Ee6!BV&dyFb4=(TC*R{uhY|M{MuRhYl$KAVn3#)po zQO&B?wyKYs?=*b8k4Gl=88dvcN9K3O`c0ZNs9mGBHPiaP{r5X# z%(_(MnRDi+ZaDUy`4kmnUnQ9De`S0Ce;JN;>(G^C^Ia8jOEvAH1+|M}->7|c3flF7 zerT5t)NXn9dyeOtenUGyLhYhfR(o{cr>0%ZD|g3y%BDr}ydF;N%zFOBaI4+`wChHN z(9R}OJAdtmcImPl?R;=y>OYj)b-;b<|4#H>^s_qgK|-bKZty&;{p3ox2wCgSX(XI|>wL6}81wL;s<=OA` zWjsIhKg#dP*?*gMe!ni_WY!0?^GIq}dwRUX^9?q>$EQ!ydGkD*wCD}K=kJAau@N=l z$J=;5L3{b6x29cXY{zqUSojy{hdp|T_Sv1#FI!mczTxuX@z>_lQs=*#cI`SD&xv|X z;cEw{{cGBV?`GSyi=OV3k3WV!01w%aYChTfLElX~i+(_HuW%xtLYMJ8-@l0Bo4JJY zo)irq>&vj0=6PLb0G^jm8`5)O+u&nA>rcF&n zrzVH&;%_{!yKh9h8tpODa9!cN1N4t`;dwpyP>4!SBc)^W^TXV933*Sx9E00U?mmgB#!zyp0^}fCw{H@nrQ4hTBIpQV8Pc-pr z=S1j5cn9P~-SJ!q|KHAn+mC&aZ~k`S62p1HXmEABzzy@f?6z7OF6P!nJnVi9+rh2W@4nD~F9B|C^uWCEi^UZB zz4Dmy6EG26M2%Qwxcsd()n)#Tl%M^1m2)O%mEO^Q>skl<4zKjS2mJdVruCS=EA2-o z!u!F$_iS*sqaV1<3pO#FO>IIvwE*#Tt-XxDy`?neKQ;~XDD&;BW;pw_3VMF}6z0(? zo#AbK>~q(_?OpNUe0r6MhRaxY;>S{H-c$TM4HpeLxcuP&f6LXsr{U~G9^&0r(zyQH zF~d0%TLt_Ok9;r=>rVI#Y+$%L*^u;|W2oLb{F(xNnlt6CnlF6RD*p}8S33zV2ebpX zw%GFw*Lf+QD)k%c-)?_&MnWc+b>C9IqufwGY;f{2!^M`L;H>BuaO?J8iw(D2c2V9E zb`tl$hdPusLcz6DF4T|pUs#yY+gq-H^ADw|4xhN9u2j|S;8wX-RBy{XXB$2H)(+er zSCHy$P4gj$=W!~yDo~Z`r~YZIQyzOCT)tk2acPhDF^IGO6XbzEIEi_&#~teqpUUl_ z7u)L7{xEI*EcDxP1o6b0@VD2rT4A_sFB^N5m;vkLiY6ZhnYgRrkB)ocUeVX}8>b ziVgz)*2LD(TP;H78@+0fi~22-46dukW4&14i-WU4i;-vjSF)?o%c46eKMUQ#?WbdQ z8h`G(7<#?W2jgPPKZYAU|8X2#Y+nw}Z&z7rxOI2{_1kFy&11E`0}WSUUf^oCH#o0x zWGr}*e`#C~pCS)D-D{HJER6DRU8H{bo5ASUT6h=vQDGmU*R`@?yn6EmaGpF7T(>Sp*%k?HT~-28eGSG0M{|iu#UKjBz;u}v3UwrS${=k!n+jZ&Q$`TtxukSOQ zFM9kRG_J6mVTk9)PKxJ>0Jkrn3q<@Gn}{a`(71Az42FIjoxkkr7UJ73VcylgaEeo< zfGazY^3b{yI1B2Ed1R$3hZr9f*ctU;N3}*i#UDp^JDc&=qOgq+`bn>`<~M*%!|5pjMhK;YtrxgF6Nq)k%S0g0R;)MtW&ZxC2YXA4iYLAVxNcKwl;QTLro>YZ(S6`-G343$LHhttzmIY0Gqu8v zULV|scy!ymn0K{h#$xA8&gNbs-em&x_H3sB!^M%TdqUzks>3%0ao-b9dZAzDc$3C; zx)j!nJY12+>o<(%W#Y+Lf30T&L=-iYU37jV6>F4bYmftiNOmX(nQvFb45 zQD?VIH9oe7KlG~k49dS>xk#f|UY->H>WdGJPCp+LhtGeVsNaN8n%~7&#~5z4i~+ZK zVfd(x6W19ZmN*Fgs+e1}zjbX8Ve~AyFF12?#{G?b2vvsjDnrn($lVC>GmqID;Xf)n z#h+dPJ}SU%4fGfKLvQbQL_E?XeYN50^EkxAt{jEG_2AfK!|mI&Ps%!T;I9%NtW3z{ zGPyeR(rXCfXWRP)8m=yd!k^unNO`VXbUA$1&!KVoy+*%Ql|AhYw{9LF-s%mw2=(U1 zhv%P6@w7gG{Yp3 z`!e*~Ap!kz@0G;!&xnNHV>f(Muie-Oc#Dtp{*u%M=K>p)7yf$3yy?)-u;HVVZ&5zw z1;>QUe%Z>r@Zkmb5dSrzm(jC3Rl)5MQQ-REXAi?wlSqoYs2l0W|2G%@CDSR+w-rgh z^F~R-t*(jS_L_9u6WIPd0~0d2Oj$$m=xordm`6hm*NZ0-kE;pJ;=baZrZ?06$(9WT zwyc@!0>{ihG(mA5VE0 z(GK&d0@f`t@mPcCJYvTs&2Ri)A%?3E@>d1u_YM|P`%lxaDxZ$=it900FXEQd7Nci5 zEX2ts52o=RDm55<^a^lmz%#1zWqp0`L`_kmvjnFelEhzK=4 zyj&pqm4WLhKc8GSf)}_+{`>k+{pT(lVtm9Tdf&1B2?Q69=7kz=`<{p1esCJx>fnjG zwTGW3pNJB)5A2%^z4}S-Su+1>aO=|G0OP}5vhE4L`oo8h`D-e8Fx>}a3*xePz3GO_ zHlyLMn$Ug8D)J7TU9AQ#!e8J%W8FFK51*n{FkfuK3YuT9qkhiD=OOjWE^_44es>q~ zi$4azN5_{%{^gKby^N1NChOd(-T+)wzSYV2s0MWZ(aY(*k1q@IGkWWV1Jy}!3*%xR zUZPIez(w$9aYf*xq7MWcy&jnLo^rS>=F85TZG_>n)W6X4|9wTAI?w2}@Xvb$T$Kq0 zw}vgnKBGkSiW-doxF zhtRWT9Ykm$joXtqV`mzsuP#rc;UjZNIK=|ug=Scr4Km6?`yP>xNQlaNlE5#Un z=I?dT^NK#i|NR&5eQHzIx<2EEd9)*MAby=p?_V;%Mf=;C&#MzMeMDFK9Y($FM||bM z6^5(t^nPLI+Jig@F+v$`dDo--{JtyM#G&q0o(%3t@2%|YRN{|MVjkt&`82Ll5}eN) zFw^Ln;~(JG?d{;QOgCB=OUi(Y+F!s$)J|da_VKUC18@5a>w>MQ6J+|=-#UVer`IuF z?X)Jwa28w#KFaMT>Re{%$%fmdJ&8Mf0k>P%>}t3QJ_xQ~Cxf%^sXY=hxmc10Zv9vV zZjH^?3p}bO)lWuGaKT)0ehCj(%Flpev_I%6^C-@4ao}nY{hpu)z6RIX==V&uuH$;+Bm2Fle%A$&&w&bvM}F!6Zar9n zdC?PgxSMhD=Clv>bzc+-OL5rcwAzxDy@(`wy? z;^|!y+>)`2;qN(<{1?mv7i$MjF`R#T1g^$7AbxqZ+yuk5Z&o}VThO?^H9~&$;v(>u z9cqE|MLnk)z1rW9#`Vh;+^&=w44>gs!P!=C^vge`Edvk!PVrQv^F@0O_W}RZ9(uj& zAbeDmZ@A&Y&hf&0+6$gjztfIxhkoZS>UY%-aI0g#Xv6vUukaVm8)H9F^@?>)$mFuf zNa}a2g?-HC6;S`8?ND(0=vi=f>nip!;kKUig_{$fA4%u(!!zJ)=LB$7tLO~)7Y_rM z4^I-$HGGcYw$oN{@$xV7iR(diIPrJNPyJ5VhgBmt+Bde)-v#ua*-<~DsmliA!{$?6 ziH&10E`DiX4Eo(R3qG>>;oHucGOKshF!QOV(!8r0XR$x%z|e64=$tPDG%ZE;4f-^r2Qc%`)uRSM${vHh0WmB%zn!FtMHuATLXq79=5&2 zNbq(p#Ls2@u9)1B>aEIhaNV-yP2+2IzpKor{7C-nNm0x%TkeW{vLn+d{_kGkwqGkR zqZdc3!$(ctiagtXy8{f@^YWm6L{EA@3J5L~waFemHp2a2l8Rh4n7ti_J1zUfe`J!~UWC`vjq` zWJFe-d<>&`Y#ur@!RYhFL9dQv(7w@$2N|xWo+Y1zd^e1*o%R`d;Pq+UX}3b8ue1m2 zj-NUJy{_qtJln1JVP52%D8y-d(|lRi@4g#342C;jZ#V=+Ge zTjcLYe>ag1>Aj4<<(ovj=PBsLm*PW>o+WycPupk6vvqauDx>G?qKN;NwNBeq@d0o)^&%68ZN!O z!L3&GyQqA%4D)Wi9ShFZ_N9Fw>N)KjzQf5UwIVoI&+$8$&a;htV&5SiwshNM_%GN? zykG{n-Rgs{;dU8Kyd3==&i?s|{YSfB0cUr6lK+z}-bOF(y#%*gM&ceTtKG!7RH-sp zN4ozitao;`&;jR6y?S<(^n3nBzhdR=PUv^fIr0yG4z5an?`yaf*aKWOS6E-H&l0RJ z{c|PpkArC6YvL4W^tx9+;?t+mdVF`9^i2+eTi^2|9zE}4O`}&%1yHwa*$|2|oBK%T zOfJ6Axu(5VqaH-+ZRC@Aap+a;X;?@4rvt5*(X^j18G-d8-?p1&e7H~6IXL4c)`e7l zE~Z}=NO{xS579ijA8U_(%V+&PcO|F&@McczGc19)NC}3&dgvZ(eC&y|&+`Fqubbzs zhewcqy_fDAI<6m`<4Y6pJBgeePvbp)1KhecYZdxECXgQ%Lcg!7BW&h-A1QCKj?l~GJL`>)?!6k^ z{)^uG;R!&Jk-b-3L^yIO=!(mnqQCr+tsb1%vA`|HD3@di&G7 z^KPV{-K-V*U0(>CdmTd_bhR;y5;EgaW6~&|>4B&R8Cr3j(eva;aLc6~@*pDRa>Lc` ztp6uanBG%VnIY?q4_ia$g>_&Qd{n&`eump`bJ6*7_9A@jpK<$)kA2t`@u-)%DgIXh zJ&oR4yc3+A-$?n4OB!RiF5U<6ussPhFVAiuZ|WTNYwI%5+eOx|fKOCe>bEfc9YNh| zx!?4wehwl3=5>(=)$B{4;r8W$#OGe2_`}}gy^LQyO7rsDEYz)4Di8K~;YeIZIAVX( zduwkoKKx8o^lN3GM?OD}>;%8{j`Ezoi1va1c5OmDbyLW{)G^e*)$aXf!}Z3z;OxG; zZNAG$KinJTnd*pB*Y?GFR|9-kCYXLt?*o^$=)Fei9v+6v8~4cnSWb-Bc3>NfpPHEq zT<5Mtc_=ps^=4na2OrVA4LFM^MC;m*&K=P=AM&6J7O7%<*w`QBv-d3R8xtxZKbEBP zl;?Yj_!XNJV)R@(LvIfpNW4LvD8ub90p#;3H;uQzCHSz8ROfbJM~bs%=V?YSuZ18^ zwV)-qn7?Pb;p)mbivMyGaJ$+o%LjQk50MEzJlo<|!!t2Y~Z7Eb@KNMvskV7NFC z3od8*L$7P*$GWrE-v_t!FybXHLvOv#L;j`5fwKZJ67iJyAB}hKJnA?8+#K*4v_J3? z{W0(A@rvE(w|8aer5pWzD;-B+A5%|{pkMxbd;0z4*(sS|#+yv>i$(uZ{WplfeS`l_ z_jdlc9`qvLZT$UL?2zzh)rX;ORl7Bjre7V{8C)OAOZk82iuEOZ)QFkUg#a|ZbHtb2Q%omlTG`2o%;`DZrr>9HC9)*lP- zUc)QUI^t75V_b4f4Xh)1f&QPNbvrxywLe{&kznE}u^e%#X^!Al&mG7Q^Pu+>b$%q( zZMIp#MsJ;@^NuyzNAWl73_ZV-mFG$|kRLwaI<2Fdr{OOn={-oSjTm5j^t~J4BAWjG zF1GgV2cG*exV0(@>)moH-P>@!zYvW#e=*tz{3ZSFvEw+nJ*)+->+^rm{D*I&At&XAfXiwNr@jR{C!}!RrS1F!h zhpDb|+pCR_N-RwM`hFn)#1}J-Ui7B=ml4~LA6B?%f1~H|WhkERqY$Unpj`y?;dIXw z9adsL6wkC$$dBm6kx$vR zDD?77X~d%koxpf4A6Ia`<382Tc(+lA^H*US?^*i2#X9cVz;L@@AnB{o-?goo=g_Yx zOXrdLXC&g3=X(hgr|mEg@i51yG%jxk+?TkYC;4nipt|~84fQPh(*1<32u7Utilk7} zuNXU+^u1PLUhLt2h9J%&Ux}yF@2mF0w%E5>G`)|oR&zt#HZy5{ySq#>-2OoOgWjJD@r(E0QCGUibQ;&*bI2R3pBR~7d_q=%%b)bV zAZC_bYPk610WOY@gWjsqZk^#)`~Kki-EhHGhmW}46X&CFpANkWpmkyIKf1!`MLgXH z)DkDur|y^&`-!SS@1d%x#(BZwx8QdnQL#RJte|Yrvk^%l#z!A{i#U1q(&Up?1LqFE zM*9iBoCn-~mf>Uc>a8E?-@bsqPOdo-J}$IQt%j$-<(SCP(BCb9c~ptD;Ui|J;oc&; zN5F@9(fhb~FcJ4;zMcO5Xq|3>d9?gr;r_!t>7HYkPoescJA-*)-P@B-Mm?+}d2jrh zgv>bYLxaHeB-(H7OCGBY*CT1aW%WBj&-qw-Z#_l#bH2GfICJU-e_p-``M8ZFf9HX? zpXf<+-(%_RXuR9MPc`G^PPC7yxdGs!z55`;bzCiq^U7+{4?8#>asJZ;^J2TkP+c`% zG9UWE-N9vPKjLfKFEIT7|NDP419osKt%q9QUYR57pL;Bg8rlz&I92T1ujztZ!lbpsE>VFE?JCq zENdQJZaB-=8$QEPkK9p@{EKwk3H_SCz`1uB#L3jE-G-}Sn$}_4 z6!K5Jf%Pk2{-ATcPc;1P*o)hY-cFl`e&wJ0;m`V<-DS9Sg8sh)rE`VXt`8smsAQbs;zAty6*-H-M_!A8kJX6&U#4CD2)KTpeJ}i7 zyU=;_d>_RVl#k+Eu@?QZvIU{HM_<5r^_;aBuYM8)uKbt6UsrdnjaU+i#H3)A)uKkp=)J{a)r=^s zix4cq5S_JHWv#Mr<~Z{gyuZG$U+&NSo#Q&@oO8}8*B!APyLIT)D+?RX!YcXtjU60R zsS&UAt$%|`)p#ZU(Lp~34IDLKbdax~Pi+Qr+q zXg58dqTOVtcHu?sCb0W`_nh+h@~Zn}r81wdo!P##b2@z2*P`~Cp77VcneG0!@49yB zIU4Q!V|ldOKx((g#!!3s2DEFB3iSMBY8U6Oqkn!$UvoYtHrK7hj89c1^ZCh-?x6o~ zLNI>$;`DX2Poj1?^ajRfrzE90ofan^xORPz+RdK&h+og{e-rJ`JE7g~%j`e>=wruK zkLi@BF$I&|^K#H<6=`T2(XZVvatCwtxv_>IlZnYjlW+{Ja6N@?zrc9{gRk> zlXMf$tJ()2x#!iYHHe>`NXBz!)oO5A_5#Mw(>t$n&$G193D9r2YuzVr{gB#EeYeJa z*ZGZdpX^zCJg+N6e*)jReQBc82ac@ezMJ54cwSwOrFQdlCUhtId%8~%{s+co9&h_X zIQ{wlw;gB2Hob3>@gY3(A`hzYhA)KszGXJnk@WMrj`sZJ(ZBHiHmhsrH@~O;w&r@` z+ErW`%HygkXgAAN(K`7h@psp5haY+1`m;CBqFv0&**Y=fJ1bn}6`p^%i~0|{PtO;t zamuxu;akuy4pm3ps)Wv{7kRXKES~o&PW61NAm-nOrL1&ZmLRUW?gr-`qvkoTem_O) zd~zwQGgdqTc~p4|lF#r!)S>!5$7=N7I4ihpumXDf>t6ErwD2)Hp2oRk%Ut*m?1*|0 zS&oCVDj{QhGWyla&qJ^JHbGwPx20w{J@5A$`4kzM>U3(=+n*g5ZI^?~G5J#P{L@|& z9hbdoAs*gsHS)kdbi%mI72+)UCb;VPa<tWq%ne`{f z&HaYte>Ir)gD%;oJI)_B250OHxLg)B6Fvn5xK80zPuWOs;+l|u!FAyFN=%5;>(mn9 zVveMFc~?@y|5`f6YnKe8d2AiH$Z<8ZIqJfcT#NjOpJ!+v=ac0Ht-JW@*muOK#?76c zbvyuW%d`V$*0Upc*c6%<*&SS$|EhxXkrf+(v)g%z=NdiMaTQgD^1t_Q%%cu|*&O;2 zOQGkj4`Cj40~zT2P0>_vmFE|l-`Rx&z?%#Kx3%tpvr`TI9oK2i!DW^5@K*)Ke(Si} zl9zbig%tnGV-Y?XoG%PPJiPxftUD8RwVBh~vGt)Bvow6{_`V@dua~t%-ei~Y@KN=T zuY}L)B;xCvg3BkxW;m|y{|O(P_73$gJp3lY|IBmrs}}X3b=QK&f;asPZr4*?u^}T+ zZ|3}V;=x;~-bU7$CvfvR2kJ*u^gzAog2~{zMHz5b@)_2J>bn`7eP}}Z$9ZDV zZ_SpZe_IfBWrhqL1pmoTz*VENs2>q>1nZP_O(UO+Q!p;(b07Pz?)ds{rE40qf_`of3rs|ymFZ*QZ zbo|Kq?o&=41b@-j8+x&(Fs=7)IVt|>m%z={GL4;&Xi$RUX*d^ow!8avb)5O_fImwJ z0GBJ8Zg&1WW)Ac$Z4Abxo4v*Sit35vziBSzr;ztt=c7;d0T*HxeDtVS100wBV@W@A z95@SIKLYwkf1_WUnu0*pl#CQ0E z^XK8HD>H2nxSo0d`>Kg z>0gE-pSJ1faju;Yoq4|?I?wsAZ;yh@EiY+(T}++@ z{veL@Zz@vW-ug~;oQK4N+tt&N2R^Sf)}3w~K>Y3$=y~S^f2TJ!CxHtU3vTmv4TXQz zVA3c1lK!8Gqa4@Uw~&5Yb@+=30derjvJ2ewtO30$x*K^g`L2Ph?6iK(jJ{Lg6ZHl5 zdG1f^-L_kXIy4>LlU^j!d66)Q;z|3L{MXe4=Se4U?%3EY@GhJV&TJD4~4&;7J&6`pHBzpYbj3qPpeSZubp?9_=ptvs6!*>VqCSuz;#M8xGYc+ z^CCx`2A8FGfs64!k$!q1aCK%C_9fOKay#rd%( z)yb*XK~66{+JPJ20O;lL{B-VY*W`%zG%fS^O#xKKF(q z9`W)3{JHpuIoL;l zb$ePb!d}6+WY9R|SryufIBn@Xn0MPE$7~mmete$t7BYh~8v=uMX* zIPciJZq)DFi!|P;`)S?v@Pv;l=Zkp6kGZ!xA2oo^HD0a@@i{vJU7TuQd-B=t1%J7D zf4JkUoG0bs*dD~A-sGF;eAvth(5p8g$iFK0FRi<}W6-bJe*y1t_N#&0oZddD4ZZy^ znS2JNjc{Cft^wzMdEjI6v|Zu)Q8FBT>`9`|49wO2pNLzC19$JMSG6wiBlpI7;|#5y0j?7_8y!@C>i5Wh&lO{gtUvL@m2kv8{bP(}M zmEmJ@{7~2Fg?D#wQMNDjJN!;h_%EtV@r=7o{wpW1cU%g3AJO%$Q#`%<_&cuCJ&+&P zp&{l)oy?7Mf#s)pWFM2kS&khz$L-&$K&Lgu{fs1;Dq8+!XSJ1CWNCVfEM@rYPy+-?_ zOj?iiA{M+@3!fYnpl1PnC_jI78|1iJzmVep*T8QtVLYBi_G-o(H@@ zoa}AY<&LxR2Ppmyk>Do1KK4nL^ptp)j^Ng>>LSEbEF9cyd5rT*&!_s)YuciI`0PmZ zYscN7ymfC5E(cWrSHl<3xUN4T|C+U_t|C5+ga3Rwug!nx{-d4^>*13Trp)6>{rVrr zx?`mmhB`f$t%#q#iF(i{ayEC|9$kaH=~g$P=L`JcuO@v0XQv`DkGjc$3DAc`f}1_> z!R?`AjloCUB>y6_5vS>Y13vr%&9AuL3FnAz_XziJT`-0E&6kRJL|AILkBh(3e`vhb zYSMV0>>T5`>3Es?{boJpS2PLh{OYX>)Ov zM=cUFxC;3IuDUJ;S53caqbSW+{+^f@_5B^{H*+54 zu!YNAzt$v?&uV)AmdG*Wv&%sc{)4`kio!tT4Y@HhII188v&a#c8apf!*i+(*nqF=qM z6!tMScG4)v?WtDKivoMeCp}?~<0d@E1AO|?-zWK;6C2%kc4!Cn+vpSYeAJXU@TB+T zKd~O|tLYWmCuYdSV}Ee@rX2P$Ryv68SM3IZo2@6nMV2{uA7^2!h?i;zt`7e|_pW{? z!A12^;N0_V9s7pNJ7z}c#9tI%(ONcgbBds3Z`41PD&ed@wA?`+pG)UBP? zGr;N1owXEC@y+B@G5Z|H)sof3b@xpFOnh)2Y| z$9m_dDl70M>#5%zFOX+G%+P)B(?)RfDU#-~UoqT2?T8)3Uz3mVIWj5H<@4EZ;NoQ7 z6!go$_8+w4V zUT;wUdh=#*Rg3Ovrs>5X=da7`CVksah?5_w8|=88dKBDrqx-)|4GMMKBqkGY*opeB z&<62~qEE?3Ev9?ytj1%ZpIjE}NW9gw-t)cR<&)u~QVv7UZ`0pT&BfolI6a?zn*8V9 zqxq`x4Eq58x(m2Iu$?!4+Jr4$#{y9-^_Ft-J**72J zQM2+^aQ*7X1yHwqN`G+K;TvBUCqF~yn*Fo{^&mpCBcJ?LGw4;!M64q@{>xaWXIH9# zn=$h*x$pAcDy&~|s0i`g7qBkO<>;!eUz_v<@vC6^-A1<^QQmR=6a76`)@X$FrLWD# zyvv5P&&%%>{PoIc<@D_9%=^Q>XBS<+D(9GC@ZU`L4LhVK&QpD{!Zftc+E4MEPX%Xf z<}GsE{63iC`FA++a?>X`F1rOnuk!d}|K#r&&RN^H7xX4zINfu8?}T&89G^z~Ss1OO zk90pY*@2f%24kgFKzugLOU7h}3thyGT>o^aU;G*{?@_&5-_XHb5_W{*oJGlL= z74|V3vJ?HXsA%%{XpG;BGK?smiQj?CYDZdNymt$M^Syg%yuCHfab-TBU-=-K>h|xa z%blJrrhShUZ;m{u+UIHBXVBmMb&1ZXH&$#!e4^7=olNm8@q>>D+&JEGeJ&T)g{qJO zA6s-+g7a7XJ3%kXV)4lXU8vN}hAL7SKO>+I4mJg`kTe*=3 z+ah;k=Pz!2f{%_njr{BUH;^B;WDoS}+8v5N@MWa)u_b6f5oP;;v(%i69cQ2ET;}I; zf$KOQ?YJI9buO~EMm*wfKp6NxQ{k^~e+$mGy_iTm^IV%&AKYAySB@)hnn#;jfa6JBMR!u2d+(m$IFHy4F7kvB_n9*uJ`HYCzZE6<#54|dTt?-gJWm@2F5}x^ zy!vEi%5#_L;ATUgDe(F6FL2dl0Op@T>Tk(zUIzPj*CYJDbB=Zbnc8F z7@3&CZ5xW8UwB3JUuqrpfAgz^o(I=}-t-@cb3~;?!=Duzgu1oQS1fY=rc*m`>yex0 z<#;3Pds6SCeur%Zm*E8(JH4v<6ngcy7wSQLH*5>y%tGh2e3$wAbKI?P$5}qQpR+~l zX}_A{k9f?Itnd+!*1+HVx^jt!r_;3GUT(Z$0n;f?}W>P${4E^ed&m$6@zCPWr z)Dust&!DrBj;nt3o+7dgqBy4|MLRB5(0M1Lwu769ZP1$p%ClTi3HdQT<3>2WwI|T8 zEKl!2{B*R0&-p9hyaxUK-Nqj5=Qw+EkK(KqN9%p%nBI=d#&kZiGey8v+cyn-oc?|y z@?d8*#=4f@J)`_Tqf=vQAqh&tg11=fY^Qv`bZ#WSkg_s_zhuR!(B(&_hb>25nR9cUEbS(BIdHA=Voe%qKKKWP3Pj%I|#3;wPZ&So$ZVbV^ z@VQ?r=dX+1CVgB98VtQ6JrfDS=U&pUJimy2(pe#|dkzK*jz^qwyI zY=@6NzWDWFr*9nvy(pRa_wIpzp=C zSUUaQE~hU-J&QJ(zlSu8rn>rYE5^m6%FwxQdoQ6n8Co3su-@|?KFTj0af+dzw9}jF z%V}Iq=sm*P3b;S8uu?d8c>4F4M?JbBeh0AOlux-Vg7%FI?}sA~t?3-(p;-~X8k!K3 znBlK0(>~#HvRt`zUfw1@H^EoUY&3odY!M_SjWZS9^fK> zE~@h{^CEAmZv?oRa2K4tel;Kc&ixAcVFkQVpJwG->?g7Uy@#rnNjNX;-za7J0E8Lq&!S0MLh4ZFvry`+D~|a+*JRE5`T1@Kb`=+-uV#zEUi=^;;BRH z)P8dWT$Ows;JD0J7;&19_29#E{fT=E&$1XkJoA0r4qZ?0?3kMi$B^WK8?CH5ozZfPb4(fvfxeUE=`M&rE_h`jL}q?Z?hDL;MoN|y)I z-V5>Qd~x7n_z7Bf`x|0jRPD^)s|%K%;q=O*Gq_$mp60!3GI&PQ|Nr|xm;pP%(7v`T z=Mz^Stl0Az`2Pbxw5D_JrF;yow@ygRXf_+O;=GY-c0F?3dNiHqIEx9ueyz4G1Q!pA z$3s7*gLOLb^BvM3+Pcnhk@N}vqW3)7k2e-s;<)Tg=aXzP`k{MHZ+^VNaWAZ=L>vzuwz+CHVORI6useB>2ny&9}kli{6M| zCjUe6=gOAgxa`<~{OkMyfB7a5{%mJutbg(N6nxa2(HIv?`-pyJ@<8~gyQg-d->4Wm zxAq0VM{n#;adw)Ae2N#9kblYj!FlZ>m>1)n3?H4SHY1+E%>VDQzbbspgn@{YcgsfO ZU9}IK%_s;T8+M6!$Exrb({Cpv{tr@0@HPMd literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/19.npy b/MP_Data/pose1/16/19.npy new file mode 100644 index 0000000000000000000000000000000000000000..20861c95fd966c2c622dcf816c8fd2111c86e031 GIT binary patch literal 13424 zcmeI3_kT{w+s8)_tFx@KYpgEHH&%<5S)C|B1glL*B6^ersT0vlLI{#5C#+squbaWL zzN}uO4$-2sdVMmVD}TZB>+|^KyzcjW&S$Q<=9-yv?mOmn>fX_-S2h;H!m9ZBj~O_+ zN+VvSNkGFYHF%YPk)y|s_8rlGQ=vgof_3@@Cg3D z{g;n1W*!y1>ydfoZadQKRX=@}k!r7pzdgt2w7F=Pw;o@zpPk&BAKG@=hT7%u4`^3j z@6j$-Z=&`FS@(DDdC%S_b{D>EuRMX;9rvvEm@es-%gw){T`%#&{W>tKecsJGxW8;9 z+C`)<+IcXwvkpOMm!o#l{j&$4olT{7+298H*Lzo8u|B%oFE>&%udH5{zu&{#mhUY7G%5`|5Vmw#%$`d7<-D+wM$U{mfo<*BfZ(LHQr! zzL%pgE;XqI{FGavJNAAyEbxhKm$`=GKGQbgwf)R9Vhq|3q|tbm{B#w%33cG7SAKhA z+g0)UxXgos9Pk#x;{bt?=+{dc5#8o8r#{F#l+}rkk{vZ$4#i8@KpOt9+ z5ci+=eQVogku=<=-)sU`n@(f=ru2>Fwq2=}K$=E|1$9lxH&LC)wXxs;)eEVCvm^?d>-1hS4yJg@_x5U&>wn=ajBIXvx`jbxPOOn z%YZc>nq_`w(fRRNd#=hZGC%4LYcQX@qF0)27t!S@e!oUJ(C%^?dZ*5Jk8HbHQ-(gz zuZ(tQ^CMcvuFY}3u5$Q3;#qTo?w@gW9pZ91_tM_4|Jp_U``<%58*}e)s_l0@e`VYG zwc4m#6X8YmJ)^}u+wQb01J0WjraG8&HU&JT6u9`b4V-Tn9B;Xre+uiw=}-#sNuR07 zmh1N4LoaIvQ5{yzy#l%N6V=nZ5UZ@8>_%JwcmK@|^ z{TG~rUKjVk{$yHKoN4vU{{%Q6GUB4u$sPq_;gdH7T>Vz~9PY2OE!=YH_6x-+mLm_c zo)^YtqKTVB*C{`JAH_kx!j0m8^e?zLc67SsPRj=1EZGg~o~IU>27S-Q#LJAO{UEXM z49kU&2lcD|1{dGQ%(7fh`4wC@`tg>Bjc?0m_;XhQ&cCIAJ2M)Mw|Wy>7FUCV$3+JS1E0gH#wR1Wv9dZ6!6|hz|FB{ z@YiLg%z%IAe<_|>uTlSOz};}`&mO%%zj||b)Q>q-b)MzUi*LjqP+hV8p{O^O@&`EE zw+?#UqtzU%S1+c6i(NUX-sbtB-q?(@q`&$D)m68Gs4F#Z1Gp*Ng!Hj3Cn26Lt-r_VHCjYKeFfJAH0Q;`KmUZ5~-i>)te#0AEA0FI} zeAd^Z^?p4)!g6OuAn~xu@E2Q~WB)Zn`+|#V=izU9HI27=@nbvW(_}AC@x*TP2ETh5 zdVNBZfBDy_f8KQr^lJWF)VcVxGsdffekPxl&8U9rU&cBT<03JSYDe$|58Gb_m-)DQ z1i;^TG=N_G+8paq7X1!f#-9Us;z~5P@vucdfb)N5Ahrn6yIB@5VJGflk2VDEifR8h8fUnhyc4J8&ISO3IJRfek zv;7l|>+TK8gI^1*BN0RSH(i3@&-n<{l}MoHGIKS9^h36yu0;ANpu2WVgQ^Ygd;%3o5^uO3_;dhXjk)WgQp)q!3shCHi6E2FJm1s)*1Unu2si^o{2 zSC^tG{`tiy|E*l&;dApnTgI><6LFYyFi#T^!(H!9H;2G+7+P}0v>?7_R3I{iT2SD%apnheq z7U1H~3aAJ3<7VnN2h}qx;6n4*a1A)ipz}_@Zykepb}pfDU0F{3HY+k2dB{)oukNRT z%VrlRTFzWNN#Ch0=8=1z!TL2ZUZ@9Cwh^t1u1T9cY(6KIru|PE&Iw=G5!cJesc-hm? z^B(s8Jw6fk%5s$M-&{j85E-3wf-o`7}7w$wyEMgI^Q*I(YK2T@$2U*~H_ zaOeFH(tEb0`X5sfT)a6&{Z7n=d6xy=!(Z`ESnqP?b?oQz3-xPyHpe;W%)aMqKSZ;21r@W2b3(ouW za)Zwb4bEzXfSYwqeJxil@=`pli-D_-aekId)(o7t-i|o=uDT;Ece>F&Af{ZxxSSnv z$g}fg3*zKoa#Fn|j)?Wh)boI|;Oami^t|1N36`5?*=ha8`9ZIAF~|Bd_g?5%?>~)r z^o(@MkFG*K9{nh9^G|Jn&q{yjo#Zay>c9C$Ss!`16U9HD!zq2+9{;b@y1*w*o zss+95@EhWnz1*WLS8HP7&jt;pdibT!JouNKiFkO;hm?nN<2zc;+w29G*)qVL1I;U0 zA5m}&;o#T$W$AT+|z;TFd--Umw7zKS-pO8kK*5c z4)M!<6O$c!6HywR zC)D~CKL4DheqX%9a{@0nwQH*F_qXN5$9)2KvPJX&znArVIIALj%)Vm6a{amo^va_b z^;`7!?$%#ktd4k8$~E|~TkTg{u7l`(M69?%J}p!IELV5SAwT+B1I!DrmuIf^mygCG ze!k=+@o8!FewSw+jcc|y>dIV5nrHP+&8y&|%V6l4e=vNsH=R?m-hITQG8V(f_|p3t zV;(fW8{f^g@$kT6@X;CJ;Nr>iiI$5$$w!?_qj_(0p}*}{J;{kYuwuz{UgSEz(&}|s zC5p2&faHMwf z3$B7oqTblbhON+Vsive4sZDje{#aM*BYvdkA2Ed9`}+X|dbDNpe{ zsXh+zgg+sli?zYckt4x~rky~@?*NKtRwtYz`f6UhXNh;`X}-3cqWD>3dJcR^>ruPbgpW@59fffddaGvs)6sH(_5PI?54fykm^gW_kew*}Hm2~yl!eQ@RnbYH|OGeT3@@^h7QeJ|q$ZcL$uR`~Mn{^k!ox;Q0+kQpguiz>z0bF<7(7|%; z`yb@N?C%WDX4hU%WTz16l7i+ai&F_0bdO z3m>qO^6VA_y%XOE>r}n}8(fqqM)TO959UQ&y+{29bpzKSiAxZVKj~Qjz5j|)Lx>Ni z{Y}1JNBY!pv#nk}p#4E!??>^tc3K9$?lt_K%HiNVmi7%jwLQh-IUDn$#$OBY$nHMui`<1HI0`ZIMp4bmX>66f_6D=;lH!OG! zu2VL{pQSkHSGvv|XSsZF2i!TDNb$I*hFR`RFGl@#q33GHZ}CLS1@8#X7ybafGe05@ z`VlekF$brEtCwjZ;34uUtasiy2)U{fg%8pjT&i!pGT^F~{mv zk(~GK)#?0%c+LB3?Pnvm(0D6+1(&CeB!Q3lME;}eVLx$R)^D9^ea;8cc>T&@A5&2Q zRR0SGfQyDliF*g*eOzu`0d6L{gY!PF^jvY}82R)XN&3Q_BCJ1enf3c%Sq&}pAo+r-#!KLcc8kGaRb1`!LG|K z7e^+-$4TFH(IfM-E;(|Vy^3cODb5amp>Fx~RGj0g@mg@vYCU{(c|+d=TwFzQUh)BF zPgh_+H$k)DuO__0{=m!B$NaL2^gD4n0ZpKCe<=>+e(!pm=6|!g}XT;}qgtypHs_U(!6Dor~u^vveak zkB&ip_|pxcsn#d=c5v~Od{o}RD9hQ*&|;G z^r}!WrB+swd8|KC0qE z`0G81Sj%N(B)ACq zhx{*}SC)%wy~yX$4RE+B~KDt&2eAw}2 z#N#!_s}2sQe)rJ(jx7C+_6=Wu;!R7DzUT8vi1TySe&YWa@$jOtqrn4rK(Cj7rZ|0G z;Jh=Z4};5B<>8}~eh7vB#TnAyrhc7+R}epc`D-px{% z?H-xq;^t52dG4F&SM2ueYW-O()h91X??K{m@4lAvX+F@i2a9RlEx17ID{(Qn`nfl_ z&bAbFE(803o0{Xmjn@a#dr@7P8U+xK?DO-NKQsMBL=mdnqy4~nyB+>EPO~oST=Psq zJ;<5Yu%ED&Euoj=)j8-ER>FEwZ)rba8x~@{u)|Mi{cfdmP`5aXb>S>&RnU&hWT(8b z;X9CL=gP)s_V;&Zd~?Jv|7eW$rQM@2@8TJ8UNr{(`iE$R{6x|Iue@KJweg4#VM8nz zsdUa}e(#I(l;50;?@2`Z9>mYi(D#iz>D)qlpMD&GetGes&^t}9O|abD90k2f@w;R{ zOV(tLy|NWqd44wp=Y2K)=qS7}SGsslU|fWjosUoV+cO2d(qXhfl3~6i<0C z)En>ZzbrLVud>m3A^rTR-V*v^eeue9(NG&@E_a7TOW3w`qjQADE|Yd&9{1Hen7vhC;hIE6wi={VOG!I z%%C_+G$EdMU1cB@I^})^YGs<$2egOWuND-=^L1UAluRR@l4$(*DYQ^ zFU$MVz87<4v*jvp6^gU&H;SiAOYCFp0G%TuqdCqU-K}UU`+ zyqB5cKVu!4lW#FDl~xq%i0z#Pf0O)`&eKtcB2zQ{<%0#_qH;yV!}e^A1}{MGDa@UI zkJi(d(YfYD&y(!HMv6a|f|&tq)t9dPID5USf1yP-EDcc5QA^q=lF9&_U~ z`c)}=P$$m28CVzmTM6jd_w-&V-d+x~dj0+exL)}?^5fJ@!}+2saPm*|MVxxibL_)r zl^U>1|LfEC2Qx$yqjB3hQU7{?GIu>0OrMsnxgEu)cdS;cdjJzBkJ$+ zwt8p#_Z0v1k~CjCi;b~*ae>~aoVaVKA3pb)zvVo8mR@a!kB&{{@ZS_oKEY>+R~(D= zt4h*yk=g2tIGtjP2BF_Wu^5-*cbmr5?EOT`b>$K8;kW)o{35&%>e(6609(@uxi3uCvr~71|G6HtUZ%lp~CnM<#c|Y2E3CjOvzuaI>8GyoO#~ zzKQ)%?dsmcahH8 z)}#GrQ7PI_I{QPf3en$HIxl@NUo5E}`5ezd^?ZNiWb32TUedV2OM$b!J;LEHsZLaI zUT{&QW-#>o=y^;$ynoq#RuKb(?3Fj8b?W$Q;!{WBdnC3cKjKu;bt%pcU-8_c+>+6+ zUP|xd%qMzgs?ARZ{jOwU>SG>dz#dw64{86`A(t^PPPtT?mxOlkVbke%ZP8`SV(Y`R z(|f(D@eF!BYhbeFtTxp--`JAY#r9adud$jfC=V~1f~(ry;V%N4fGa_Nhp8im;Q55F zrsq9XwmHVjzHJG!c~Et-_OaUIC=bg^_*yR3yTOP5PT%kGR-t$fG{c)7i_Rx#O;JX z-xyE(P436bEaz)4(Rt9l-vjG!CdY2H-0{ph|3(diKbzpX4L*mb!=Lr&0)ORobO(6S z&sc9}brJXo*Taa1mFb(Wih^mjI<{#@d@%fm;W_=54uO;h17-hQSy-&aAutacsp@7x6b zJcIt93j4bZ#lt#ohJSuZ=TN&aaQ%2X{Q0rA*pI}BucQwPhrg~+G;81K4}Udj_Kwv5 E0VeLu#Q*>R literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/2.npy b/MP_Data/pose1/16/2.npy new file mode 100644 index 0000000000000000000000000000000000000000..d73ba1ed3a4a06221a8579d8ecf0061ae3c10031 GIT binary patch literal 13424 zcmeI2=YP&g)W%0&eOFsH%ILilSuLZ4=$#N{f=IN8i0CpQ1gk~#I?;P)^^Db5@7)eI z!Rnp0crw??U+}zr9&hf?{hjM~&6zW2%I}W2mK|EO?wpE6uu&y@2M*~KRt=S}OD58dyFd$(Z{W8H(OHL50yjw>`uqKu3gXj>o3=?H&eUVbK!~OvP2AgSjCga zT)W6c`4Nfx?zwjBdl>EV(W$+zo!6%4P5*As(S9N6h5HnXx9@T7s{cPv@%`fbOYT$6 zp8y?u8j1cz+$`u#`BIn%e(s0&PRFioKZWP_Px#Ayx6`AM7v5e`o;}XIcJ21XF`B;- z>0UXViJkiapC7VcaP1;}evDUqsfN7qfU+2e3{CsawVMf1cwU4bL>xL~CY~4TyI;cd zJ8vWJx?9oP&etw34?ol5^BdQ$*H6Xs`sXZo-hR(Q{qMnWb+-!EZ2 zV$u}EFRM<(^S06K$MFAQ%RBce9|v!C&-1VT!`yeaew1~e;=nev>q?GEC(JL^k8UoSJB7w4y?7Rh>O$=_L}pO6R9e|Bn-{8fDlfS+E~_J(U0vEF!Id*?~x+HH6|+L?X&0PT-b<9R#h zC$x)l9q^r}{^P1^w`)8exj6WNeQ0N2la?axwvS(+ye-%3CUbGYQH&r>|Lx?FYKtS>g*adm42=|_FL2>q00V;nbAsv{mz zFoyE5q!h-*&J$oh|hv0V$1AKtNr_D+_|`k#9-MV`Wro!!z5I&#GM#=8ga7QJl>f;|;Hq~S;W+QKg8F^4 z74xXOAfBPZTVTF@1j@!_S;Bw4oaQ<#Rtqb1`#8Z2qu5`qq@lLP4 z`+)N=&%o8tb^(sFzVE>8+H|NN(f9z?sjQg<&YFi{Tz0p`y4Is#AP+p#2F#1O-n#~T zI?+8q+F$5A8F>opPI?WXeph9Kzg_P&+v$0Y0B|vGKm667RcASF%CP-E}KYa=4RpItn@7Ci-aMS2GxZXX!zVoqFekOhO0hG_n_uD$I7w>_;=-&xk z%qhLW`HL^}Nblo^amlY=Fu(fgad6RkIJily9P50{sLtThKal2e(fY2A^G~6q|GPQ3 zX>}Cqg>7LNub6WldC=jhXdPYc550ZSiTr!@M!#z41L%4FThNQu8?cXwRhP)8fFHOi zevRttYcROEy&3lv@n}dN7mvzu6ysITazSs4)f(x>YtE*u_r0$!yYJG+L^(Zs_XqTH z`vByV)%Ooadr%DJZOsqhd{2g1j%)re<)OoTs{i`MXE`7H_$auJyg>E8X$I~8*%yJE zXQ?Sa2QtJsy*jcQoF5HE9>m97Sa*6&AJWHlgPs>l>h1KR0PPz(xIeg<5Hy1N4Ts)( z)d6QRet_d<&@STlbHm?`4P1zR&u*uF12RLeW(FY-GWaI-`}z}&YiZ$$@F|xL`-83X z2wcnyMIFkduh0v&1m^+^C_4&z?=;ZMY(IdTcdv1du<*3tEaOJ>Ybt%FbLTyA>(v=t zMz$k;67{Q|aBxu|7wW-&+(hHbUlUv}o2gvCtnwO)XJ#946?=J{B zoOdd27WtH@NB-fHBV0Uu?__X0i_T?Lr90-47oz<{t=bD8^&vRc>CJ^G=tb^b)Nj*@ zm=~V+68U&6Bpw+>`t|v!-!xOPFX`W(qhE3EIM$2on;-j|yt`nC^Jkg5K+gj*z{hmF zhIvt0{-Sl1cM#SK@AhT18?W{*L_UA|(|&a*tcUYay}J=#)sNQQ4;7G4)p{8GWy>0< z2cBbknA7vIZNS--&d|$Jo#@=zTM}H)If#DE!18pTN&N->tax3lcQtMPSoE7-f{Q9u z>3saNc~8Wd{}!!Zzud@!_`UW7$5jh&_?tg=UWcyJ+OF=CZ_NxJRjUg)e^wXwJsUO{ zdV6y<{MGhCIKNEoY2bX*G2~PDPG6Xi>|;Y0pzUcmuiVYR^=*m$!8B|@asCxgd1#hC#OY1J z-QZ&9A2hBkb1Baachme9dXM;7$e!sg9vgEVoaOR|UTL3^;6G{ql-=)I* z+KBQrFKO2y9+9cxDCff~kE4DoN{WASy7`Ew?nsLNQNkUklPzj(cAqApCiJ@2P|8E3 z?T_{$w4aCuZxO$E(R3+%)&-(plituic5Lo!==%nM^UjdI5XCt-KgHuYc(LPB(|#^@ZHB+va5UI)lRh)@FY@<; zztWH9CODreRVWXpA?4w6%}B?2t2q=;rXEzcy9dWPACWc|@vucV(64#u)6#LB*-)IV zZc;qaPl`GpT{orvL#HEteZIy}$4$-i@Hdz0AkVhcW7N6s@fYGzxzbVpTZa#K{_+al z!`ZCE7?&QH6?!@MPxPzSP9+|-cAnEK|Gn@LeHURL(D^&WAf5wlkq6WAKhihu76E_t zl;W>&gvM2%Z!yQ&gk0paVkx*S)ymItv8DpJei8#NPo}|ps=U66;tr+Xhvb*9li|NF z1N5qQ7V?>rC>-b6uA^TY`Va02a)4*s1jmo9p?HE`5Ix2!Vav6HTl&!$Fe95*BAeZ*cm1wDK6wm0;D7e#*f4o>xd{wv+D zmPH_b6S5tgZJdO2oL`&^E@#w1U9q)saV{R)@GdwHY7M=}9EkHpKcI7p&%A_q`1x)0 z9=hZ(#wGgHz`UqGN@73Zsq&KlprPRG`I~WwU)%$?i5Ez}Xm)_>m-ov^d7B@Hbtkqb zt#W#KrVRP?X^QdktL+0E*Grax>ji(J&e`D{vz(8q-5z<+J&wU&bScu?aoLmZQD)jR ziYIlmXy?PrOhcYkzziDiG0zq7-+7Jv|1F35Hw*ubhEF+q-%)kxUab#D#W=3#orYet zT|n#oN;L9gJWdcF{)~9rwb1hnJBe=}j`7;I9Y?_@Eag2bizoDQdCifI^OwU(f3_O9 z?i>xh%^D1@vy}i>dBtd_w=YY9n>WXBpOM)L4Tpc;a>%m^9fR@O;7SqR$$It6Z0K3P z(#WU2R0-#=coGP1&t*XV#ha}@@F`!P`W;pnTsPm_*7=Bjv83{tCoZjS_552kfh3Y)pY1~Wo+Bw8WWTE*gB>FlZ9!u}7X5USk_jRS0z~7hd z;bL}waJ5{}KAG)3eAHGiaJizwJf~OdCXj!IOW6PI#B8V^9?=^0!&FM$j%k8>nrhJm z+;q;3cx;9Gl+SXn;KR=p1?ST;aCUbc)*WwiWu(*d z=}k$$jLsd~d=1|3)RXnJE>a(XUM6NE|B9)hS3D5&D34x1oU-Rc=*6phG`|h*H*o&? z?nCHx%s9lUYSO*bK23S=XyS!)M0ZVv_bgc^Wq<3wkK)gIc8rT(FDOm@uB7qm1;YkA zE>n@-yqZY!UbIMO=$Adl`V!yTpbm}i5uB&`GR0|pHbJjfjU5a9hyBoNeuMPR z&~1JPx6!jG55DcR)5}#U_XppFs83PkXS`?0M=9^EMS{T9%mCB_FFF@-vfcy1O_5JD zzq{KLZ#WNJ?szlA`Ll7w!R3z+z*+lPKgao|G~nvwQ(AW~(~t8`=Aswr=<;ZT(=(vE^AtFaW}Dz|b zx?8ik_>O)-S7-^83=!FmM?h((mZ3N_%iSdP|Vw zVqZDzKlZ}kG`|N6E_89KO5TaCT_>HPI@HIe;`@-M(2M2eF)miL*<7a=b1p(}BCF#) zj(gTw>-2KxPUv;s>F8HgcpCwq8jr!{!-*8nz%rx2&*y~?uM)^9;7xcWxGjJ0Uy%0X%Qh`gxQMc;nf3dz~hXELuI*=Co zm=143_p7gg;BxRfaCNBE)P&^zO!>8x2hW1wtij(nm+j@V;G$Vu(tqza+Ue!k8N}^! z(idMb0X})Ql279`q~E=GnByuqC*ouc=vNUq8M}`@^uzm|yfV6OsDa-{z&6Ja0TNPlY_y<1~1x|(ly2V zJFD>-+@9NtdDPu2pg|h zs4LZUJN5fhe~ed}?6_yLp?kp1&Ij;e`H~_N+_=_J9aeFeysyY7 zUtAIEPG&kp{snsw&v&2Z<#assCbKW)Idi{R@L9E=@)>-X`i=C_;LH0{{LcbuybXuU zbn&omizv>ugD5{9pJN<1n-YloC~!M_0M?848b|zSKIB;5xk~q|ou`op z7CW4La*qZV9}dxbT+2|>zo7RW9r%R&b5R}g-#;QARrD(AUyY>wM4bH-oMqfU*!8PU z?S+q8bDPGMqi}@d^4_K~4qRjl<0$IaaI7t0gT-Vg;)xz`OcEC~MhpORzrQiCK{@X;%yL@+x z)>nfS#LG6MdJv~k=R8YKaN!?7`nw;YSDg*GI`9emTk`LX`4H!cpHa6wu?gZ-4@v~O zIQih+(A&-9Q4e-&2FmC8#?Z^}A(xqu7nM0t}1py$hOEpz^=>Pm3d zsUf)ZD--KDs}e;02FxQ~<{h0Q+0&AK_9AeTcToiNepJtF>mYCuvIzGyRXt^$wx;(= z^G|sn^m~l{9|Ehi0^?O(*U>p%C>82f#Dt+9c)fH>p>Ia}o*h#Wd9crq#ew_OOv!&u z)EkfNvMeDveBnXog|5&VKKk#?w7#BZf(?VK#;ben!F=(v-;p0yk>ZgT zuOWW*?Vl*;qkNm7UsIqB@vlYZ!+#y!hedHl{81YX{amVZk*yllZS&@%9OqePQXYOO z11^5MJlb)aAp+bqDo*_5WCefw2aR{mSIToHzQ}PFK=s4yBIHNJ&Klvk*iLmQyaT|^ znYak}$0bs~JA8@1t~b(g{*>m+CbR?R-J4>(GB4e`_~vlZ2Xvk2^s3c+#ADyIM?5n3 z(k+g&rsXI$=Z<-iCMqGBOGbH+k#~@Pc`Y9I4Uv(~N46yo z^ty9pI!A6yA^*NDQMbI^xp~fCZf!&H)S&#EN*(C^qS9fES5{w+dC_~@*LHf<@)h*5 zY5}YZ{_p6G;Dy2||KU$CUU_TV82Hztd%M0Hi~WlEg&-c0Ju}4eZ3 zx?&lgVq9#*oAr*1W+~$xe;0MAFSZ?<;CPpXG%tSicWrTKc$DL&=4#^U>LO0_U*GZI zfm^{@(Ww-FjyBMXPc&XJJR|a>Hh<~o^nBPE=(Sjje$CZqogG)+cgSZx{rz2zI?&N^ z(VW%`uQ3LC^=5QC$K}d=7_X}M8S}!%O!xIp=61pfaJjEE*0r=naW05uwc&5-(>|$w z9E|w&ECDXk()+dE_@Nhk+I0t)?Jgq!cEGa;aDQ5lru$rqr{b~JE*|mmCi*o6*C8Hp zDU8;|eh>KQBlQ1^>~XKrPOnxz1ZQieQ+{IK`#67@yEygxrWxi}=K4VUa0R+&>da%X zFPYS*r#T;~Qtrd8sNVR7)%g1$Z%y|Nk*5{rMcluP^=r30g1@Mr3i%Q1f;%`LHZ$eE zu`w0mkqw&-aq*a7Ka5MPpudOms@(z+=TXw@8}s19o?kBRxb95rf@M1ZZVPm!^?R6p zf8h5!p*~HTUO10z?m3j7L8mb;#R_9ySnyEvYqM-b{Q7u)+#gKox)jfafryjcE;+&V z%SZJA*JJ7aFT##sAJ**{)&H3bh=+g4fqk1dr~88r8H#yije=1pYFI(&#ml;wN7JbB zI_Ix;_>zCoJ~Y3@>xF=~=!f|2f#;YnwRL-Rf{Q0-42`SBMyxwg;mmx;^&Pr@$`_}J zN0*9qT-+W^^Rl!h@x;nY!9_3f4{44%6#E;r@J`m7T=X8t`ai?Ir?#Xo=D0}uMEbp_ zXn+2EqA4NYJ0p*b;+`fM5a^CF43x2S{hl%KC3 zkY`zADc;93{$JRPb^V0DU=EXc{N%3E&|A(V|LKY_^$0?=+ zk$=<;==DFn7dftX%qISxeyIJS&o&is8`u~6b2Qwh|XQ%ZL(glBK&~poqcmFR}HYkL8)f1-PcXcCcGz)X} z%;YcFA8k?*?DHZvC(a`i*AQIgyh8i!l#|eF@2%iwMp|mW7!dA!=5%Q~kMq#~Czlhe^>IFWQ_AmU|N6s^$Cp)(GnRn$Y3}?7 zA00n+ob%ycbD)!np49$u8ulMEw>fk+;~MNIc6d7h{|4#NugKXI>rO7cI@obBZ6@-j zLoVPs^}0+?=dZiG12+rlcTQenBlJ4+DDyWu5qzv@l*%c&0@x_0ZY&@TTe zj&?Sj+D(fAXct-blm7rOw3}#Zw=?gef90|M2Ks+q=uT{sANzm(PkH*laouMm#;;SY zyy4nyWODy0?_qrW_RTv^$3K6JbM4}2a{tGD5kKEC{H|-acO%iR4^z9CaOSDw>eD3n z=%YK&x%>Ix@5rx?TYL}gg?tgG?wRe3Ygc`!UETDqavb+6pj^zDvzJudE<`z-H= zV_YnvG5o}>%@5rD;!>X%XpirW`)thI_wKW3?|hdx|GJ%ocNJ|_EW!p!u>UuB5t|iEUserMcl6% z>PKjAodi*Png;$+{~){siqRF6(OdSwHI+;jZSt zcDP?hkNxI8i@)v-InHNSD(DnU;(Kt%2Lc47-74s=GcfW!5Bi`tro%$`6yWgDJ2)#+gYp=)-pHZv)iH;LH~PB z=%q(r)FJDZ2J>S>(t%sA#WWu8eegHSAHl~aEWvu$i}ucNK74#L+9w7d1?Lg#`uinu zbNM3lW_=CpPi9z^$%rTB6vb1p&sC?>hl@^goYm6c`b)M;j*IZrqZ~IaD zu`Z2kCviFTHn>fBb-L4wd*vzq`ESAHhOHAFm(jn`cq^C3y5|QIqrjI}1LvCu(tc3j zE%a)wAGr8%g7ophQ=DGis|9Yh7r5`|`ip-Ay`C+=RmgI1HofpLr{`z$gX@uii<2zv-_CmiYl9#@aJe<7-$6esICF6U$c=hJ6W zoV}ip@=M}8b_C*4FS}#iTEB6^>G|NQ(A%R_hoZ1pPD0rwVz8`nOLGhdY0L>J9p}`ghb1KU-iHcnXGjG=EcFv4l>jH#TfL z^m^fX=vA7EF-~vqOazxBQ&IgS6pwbCPos6AH{_;zOBIiG!Ix};-dyno*Il!ZcY4;h zKKc9qgt{_Kru^Z!TK)>$Hpz$jk>d>3DG#^cs@iyrORkJtfp`ulAP?fnUd#&*s^klv zp&|K1`(V9`H#f2F?5ZBb_Y{La8&PAn(~B7$iAP$du>a{ z*|TdD&(S0BH~Ze9{?)-S=+)!*sB@k-0OK_|i-5~Uv~SoKC$Nt6`3RcdLPM|kCE42E z8D_hyi3*0lTw96ia9UHWM|RbN_}>@7#e;pdT|8oT9&i&lndT+1dMn3ek6o0XUY)?@ zJ+F<0G%&)3^6kIKu3NAKRn&Eu3ru>-C(d2)#v2>bL3Z%M2pwwdzJclL$9%^X7g+PjpW{0Y#r;Jv6Tk@ptkA<-Av}aFnwPpeuHgX!c*xhjid{Pes=hM27K4EKL z$64SuaG9RYQ}RIHg^sJ5yTDDhGNf;{7kMxfZ<2p2TE9GRn@IFqAvN{~)gd+XeEwwA zq4EBYe11NF^{X!Wjc|HBJq7gaXK!$EY}X|CR7(ZU8(n}8D|HUf9d?_zZXQnYWE9Zz z+tja2tWEleZ&A+2l-){k*6j!`N?lTptJ>>`7aRm`+h-Yvcn&QAx9L`Zn>M$w9(B&y z;4;Nc@=3RNtkcU~jlfkFf6Sxct7!cOHK#f`?~D18rB`kBOVYE)bUslNMp8Z3t47be zo#bz7b%VdWKXfSK{C6_Nvyz_6tYM20;M1;yi^y|S54C#Da9qC{1#k{C6 zI{&ErTdCg3zxE_!&OB#y!l7 zIdhBFQTOo6elCt7O-8vZTagbw=0qs1qg!7)J0CNmE%8djup z=j^*If4Df+-ADN~*xY(Z>=RN+p z7xYH#hrjw(9CgJrM1xz8+sLP^J9lAhl8-1h2mQ**Ytb)jn`Vad7Y&mAV`hNsEZYa7 z-wUm1Tw(jc&9)6b@EL9>o?3&6Pe|F-aqE!*{mPK+;C5r5AjkFo8sOZ2C*owf6!rnR zg7yLN@e0PJ@6SP=d9LkL&mpNX@3Q&aX)Yc+{vx=_5dytDmUV>VdJwH^9{C5=;eu=$ z@vLZze#HQKPtYarB0p+TN%F7Rh2klAbrXCV(sPZCZU%0C%QnFI$ijgXe>vK(Y*^wb z$8|$5%1_ZQ#eXaW}R(orA)e+s%uZ}8< z{IGoCE1@6h0lg}p7CyS_wMCAbIbER_8%rP_*1G><=)d=)ai!SLpPfXj>@aJ`#AkX^#9n?ABL(dT%mXXGnK5Dr0 zH*=HE;WJOtxMGV#Z}0wve(j?f;5=~qJg1lScB5bQd<*sg^Sx}8i-&g(Kpu3a)bO`{ zVMCps#mB)%FN3dK(}MWW zR}&qV15=W|X+Cg1dZmERxr^wRXZnP5fDkfb^FUk=@`>sLAG4aC zQ!4H;jW>P^eC#E9U*p|sVjlJ8ir7!YogC!fB%J156(8r~WL3!D`rah{^mUzGziKt@ zlj7|{T6bUUYNyw&io-`vqWoCVsH@{D_d;-8_#W*i(sQQsVZS#;9^|gG@D~v;v46^w zbY5ar-hrEl?c<$~92<>1v(58qyi3cjblhyGb3S_=i2672StdAtSs?j)fV3mP`JLz} z$8F)$h{r5F1kRRBM1IuIC%{#)EVK_iSOq=Hu>;(uoC9vZ6&vY%SpDR4LYFr1v40gO zzF;Kud`fHL(;~y2o{yk&BVXVTZbsIk{nIAb`GQ9{&*(OzAufC7ruy;99pX59`UU;6_OB49 zT~=<1<7&?l;(Ro?&R&=H$$_uIWsfG{>~r~fPR|F^xtfoEa?{U!-j@UQV^TMvb#y<1 z>SSg~eQ7?*nT0{%*t1=lTR4tD;sb9!*owK?Y3?Ec=`^&>WVk$#@R zy3G|{Ux7ir^9|)(qeUJh^Z030Ab(MGE zHnBf^%(nZ`^LLXepL>JhBXa&hJa+(|BfNMjyk{~0EASE3&mta?_b|?ZGOz^nYN$7S zM6(M6Fs^3TpqJe>=9hmBXbZkB4(rP_??UJ5nFsJZRRt!{xJnr4#atQT^xAJ9^gQ|j z=@-6Q?zp`A5PH?PAGm#)qJL}>H-m>G9@eu3=FzYbh+p+xN^$zHMIkti9&q5S=UIJ(umL_g0=_AUMw%jXDvt zV-P35HVj-9D>>5nsJK9Ic54OcyZa1sTu&`T{4D)0B2Kh#=eQV5-%HzapRg|Eu2*AR z|1y75xMJ|uT&2C6psSQr+>q`j*Aa1z|HF{;3j^MaNL~nMV#vDKeWD< z1>?O*Jf!y;@j9I5Wm0`SU)bzbG+*8NLN5kZ#X1$KPlD?QS)u1AXkJ*BIB*+4zaQ8_ zbC#grDB5pDRXR`dO~J$$(EcVHuBU!I`c8%3lfEBQ$2)@C291_EF5kU_KPx%{+!QNA z`$ho0C)yrUFfaDns_uSCdizgr=*{JA;NoCQ(Rscn{-~-f6Tbg$g}Lo7rHn_WYswIfAK!*iv9RJ#eHU5>Oybx z)I$8CcVpTQOPz&Y)vAa0ICiDeI;U5@TcKA4HT9dV`cTKs+K1#*X92iM2pQ=(ub%@x z^5|G_=Gl8Je4aF+c#7r$=UeJvpJ#=}!G~9y2yPF~7y|##kHMv15yY>Tbi?}>JGcd$ z`BVWnPv3;XKf;szcb1~@hG#}RYH}6gApzj3>8^23Z!?bqH!TKJzeB6fa$J0--y7{~ zPudUPd!b+XtO4|T)gJiBA*W&x=c&|B+*O`=0WR`fUhh70wT=A0ek1;M)k4SZ%>NL- zxK{!DiA+4`AM5(f7z(a37Q{ZL`*cD5tCZcq?UCc)tZ>j2r?o(_uO@?=+DE|Urk4{OSD7}EPrqa2A3KbmYnieje)hdC?c4j`_V!EC zoAGs^XIZ`=esRCya_3`*B-d3p32x`KSONdQvE{vS5UHQhb@KHaGqHgV* zETK-XORopFDb~Y>w|`FGgPmAIeDm+%s=#)79_^a~f1Wv!_J_}zX?`13CjVATz*VDq z+WDK-8AzY2J>oH5&pJ8I1~dg%@x8$9j_lYcZRi|uQ?Tx37q@9vak;y)dE{@(WTg4M z=sDi`$Z`t(8qfaV`uWE&=>5InBcHB8p2ZwmM3=U2=h;I>~Aa2-$|`7uH7!PVk(@aMh1qi)UM+oXSdiuyfpzmxNqF~NvOy!nFl zu4Xk-j*HzJpl7>YAJS=lR)z7(i!m|I#~hvqF1}49Ufv($GW!pL^COGEOxpd4s8*C%m8rH;V$J_ zMb2}2Hfbri)Q6$x=YAjLxGFiCe5TSo+LM1O@K)`?RpUF*vs=-Tj*D_*z|Ge&IH&Qj zBkL%-Mk*-RSo-s%dhmlqaVh>-y{Tst4Voie+apP z`e%2jPQ>A-h({&14?{cwd&vLI7mAY~8G?Qf9|vc}IrV$=$#BQ@%ZtR*Q@{4oTEs7w zz5tgG=F&N~Q!M%C%}e`m&{C{--ka_6OY-4&W2xVF^!ur)KCU_Z=bZ*OPaYy3U2;0= zO>}Ba{a##%dFQq0_f~syF}S+b7Mz(4sB>PkBe=*o7+iUOrv0kI0n$JIiT0nHJ94;w zd3ZL|t?tzcT-2%(?BZm9(Q{T5o=^MR=6HN>#$)S1FFudKI%4m?qW;+*Wx(avd9*Lx zT7&h=Q`2)$wYh+GVSnjf!u2cCQ{MEHoyfBq-P*(TtC!R7yjJ>ReVI!uFz+^ZZOTK> zakL(5Y*vVWE$#o}Q{qK;zp2%+m*ZB^c|*n|e_zp|8GTPu-~h$h|GW(TVN1bHXlrm2T5X2oGN>!@G8@3<(v0KLZ;kI1=kP70&$Vg@_`2kM zFYj1z-C;k@X<|LCFLS;T=|8NhhkpHX!AE4>gYl|-8}J-gCBL9w9XA&B!1m@}>hwGZ z?R)H89ppiHCd>jKQIULd22y=4@3t(~#eXM?xakHTu18~isr+eaU5vR*`K-5h2YiaQ zB>mtth*L$cZs>e;&F$dQXF2l8GuICVU(gnD+F$;Jk6Bj=b*M+vbBb5ZN&DESsk5D4 zoXCfMbzU#TY4;c2>H5{D=scr~_#hAF-4?3b*%JNo<0lZmu6|_^d`cWfzdQx~9;7n% z!#uLIhrnf}64>8NtFx<}zv@v8{fgYv;3LMZ-{`n${u+8UcPg#-t36hM&%HrPDuVNaeC$DdD5pG_?>M)Z_V>xZtsm*nHyw@sE6{VthGoF|6)DR6>ipTe|KKCu zo<#oHiS*j(+1Y*Y;U(`OewKmG;W9F3eDB(EmVqenKXp9M`9Ila71^`jPT z0hgD~4R_oY*a07vcQEN&9~^v!6Ww5y_t z=ZlJTTpV~q`c8jf-ua|Iw>r*OmH=m0zC+IzXT&}x%FuI!-4J;0=*vE1Vw3b{?L@>W zz26}JD$jhJH~0{$bMwg?dS0eBo(n8-9Q?(}4yapk{oy>s*|agm^DHgpKYA4QJ@$dl zC)$4l@zH7OJH5@HKyf}UfqF3QCv9@v7(~OANBt2hA=PUMse%F@y z7mRV-TwRI$n6I7bxzjNU&ox$z-sAY-P2fCdDD<-a5z@yOMSg4vPkO%ma}r#q`is`@ z{P~@ozgT@8T>0(>SJt${q`@3s=Ls zW(Vo_2$tzL_*k#Bl(#Gc5x=cejrtvWm+Ie~+V zD`ymK<>FBlE}~yEX&>r@O^Bd%5#mYy51zqCrOXuW^x_=-zo@CX68Vw70~^4~R={!5 zhu#zQrSru5cEb9Vdy~I^$l8_azjv1&vCe13G{hsr?_-~rOVd(a1@xnSe>qI`RzD}| zS@%i)9>6mKaq`ryCm_zr5_&s%F6KqNkD~X-l^?;)p!TdLZmF9L~%$FHbiF{tBgkH*86P%A( zpGa};%LA@E{}c{?ujKP{YJR-BTBl0Kf}4EbLmg-D zG9gYgoZ?iw-s9Y2eqDrqO=Ef=7ab=~j!lx=T7lqpUPU@@c*WBBN6`My8eFA$=^KlA z5h)u&&r~VY6~8cGvGY;=y3)APzJQ)B2wLR0sY`WkJJyC?b(kIHxR{W9K7UI4l?iMK zfBTsBB~hOK4^zzv#rZ@BCZG2rYhk=17kyu+&-tQX)nW+omRkBb|6j|4i|O;hZRJ}y z2l9;7XI{}g|QI_SK4lKX#f z5&j-^Y&wNKbzG;BD%Pc_-ahQ7tn~c^$L)ufs9STPKK5(Y@ijQ_dwYe`i|MWLJW&1( z;KMSv+6Z28BlcgmWiHmS{L%{ROaDjzXQl^qjd%WL@e=6GIePvn-Vgr9v(66Z!*0cp zfB&ZNx4%Bz<+w^)0`c3^8Q{ZKWLxPtzugn@^QJez^^$$t9G5CJ#h;ji;(Y&Lr{iWy zPWbZ+--+)I-3@!}m literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/21.npy b/MP_Data/pose1/16/21.npy new file mode 100644 index 0000000000000000000000000000000000000000..43f87c8e889417e13194b9eb9aeddb933b6fe9d1 GIT binary patch literal 13424 zcmeI2_g|Jb8}{Sg)z-bEb=O@V*Q1ihfr@)zUDe<~#Q`D$B5F_+5f#yj3o$NmRa|wn zRpPepO5KXlDvr8Wt#!QQIQa|SU*DHs?$7njaUD5x=1g*3_sycN-d(!)%f^D)^{wR)UMl8yAJgJ({b+I0qr8b8r>gA?KbxI z9o$zX674GXYqX1LS^ibVqg|!_igtal3boIpc2P7P{mZIbt~ejX*KY4@{?oM!L+!Ho zxrdIk*U|7{Ps*Kj?Q+^DK zo1XRv*Nr1EF0n5FeoX#l(Vjfxv1?}=BXA%8a=~j{N6U2Au8WPwc$in=YmW1Lx8TP= zmUx5qRucD#w|U?z&;9ep=|oh>ZP(6s`d-JiXIXsOneQLqdSArfuH7~}fVj<@>-f|i zPU3#!T@v|G#cLq%vV{-gP}?Tm$NfFW;eHXu(ZBwwJMQNx-nic$X@c>|ErqErmK>yc z8UB{;_w+~n;yk1Ho18{mcJdh-e@5lCEguyLR@p4esY{>*Wxcm*P$p=+%;J4_&+QYl~|k zOQBsoT}SKS^&Q-AI{lU5;;?Clsl8XDjqX~>l;`e#G4U1d=eN_*&I;~1nwrVw&a2e^ zbA8mU?9mPN&DvI6H(PA_|&GV4|>jdak=t=nVw|~M%WyU#1G$p9UX`fqw8QaMLc}B6M$0&IeCi4bHwSe!+23`1h%fi*}6=kNig? z52i*{jEk=%uHIau{M?uu>-79kL+Ew<3vlfHF9+~%>4)M^74WwsL9r{n5*} zf(yTVs4MYisC1lv`xM-sD1*8ZrBBg5P}XMoM`B#cwXODIUeu9xt>NR@ zk^Fnsq4i$21lFCp>kFFKyl zxkT}Np9+6wb5NXb11bL#-cp^9J{$?3;L0?=9<30koxXIE^NiJg zj+<@&qF=7%|Di#UnNJqFZ+4*~Imo?)3Vr1Ejw^3Hj7> zHcoJQHDm_mEua{%uNCv(Wj7hDX80lqcXkWfJy(6_`NzNvnkX zh!HHx=~)_`3;O;{%JZA5w9n`9gI*O>(3|r+hB>{gtiajCxs>NR{ZT(APbfJ5Y7jW{ zoH@qnbxI29FV%#x(a9;6)SEjQ4(PK+o2G6|SpxpO7BNn8c4|MJCp6oq~O zS1T`piw4!9XPdl;|J@GrC^qzgUghsebyDWP$S2Q#BE=)KUwxgPPx!gX#B+J#ywjV= zUv&2&e-jjpJUoq|IO8c!JEuGH#sV%=zmv|whmG}%b9x&v1)Q%u1ukY)o8`D{M$bR? z?N)HrV>a~qTrue7oJ8zPw#_H>Ydal6{joeE(>5;)AGN^`>quAo)dxPweaXMlB&<6boq~L-5y6PZ^z4Cpkdd#( zJH6c81)O<}fnKb8gZeiMs!;rKzoTFI@%(J3XItOFpC|Ohde=FRP6IDD0NkGYAI?Em zEYQazQ?5e(K>Y0N*OZ6DWoJ6hj??><2{?lD+QjVX@3`HWoBWH7AfC6HzvH~)7>cvk zKKQHTUO2z__fg;~;~MhG@+2)!&D87Ni>XdlC81xry$J0aw{yYY99RIZUZl`I)3Fcn zse8eB(bILDk9ust#jYTV|G|GK&vWvjUt8rXaIxY9?GG(mfosp5h*K^DoJ!!wvMej~={`|)p zG%pW-LOi;|^)UEEhSRv@MC6|*mRaibvfe}*SKp&}kK@*FtJ7Q2nDiUyy`PUf?&r8n zN~ZX4=Y@}uV-uYZ-|2&Xb;r}RkNLg+!Rd9Mf#9t6f33R~a)<`sFpJ?clzM-*&Az&2e@%mg1>C8hJK_eHJ+%Rdz1ovGzXo8@j{Gao+708rSCsl;=|! z^_>qdIRXBnW(w_}ODj$UzkQPY8+AgSRmH*!;h&Gr5%strjqlpIFvr>Q@>xD7FfN`j z9qWSqaRmMH&I`e%cZsD=Z~N^gebjdB13chOl5OxM56emYXRHo&dify(KI-BH z8rRdNc^o&N3d4t2*a|LnXdlOQnOfxEX9>7j^=<_8e`xs19X*N9-yiL`h|U2$i!Kk& zZ*OS={^$br8~TBs6KeT-r)KKyk88n&H-nz_uG8OfF>xa457Yp+#W%JEU(k>A0|$cZ zAv=4)KcEic5&k#fuXLAW$IUu=A5qh;K(Fo<8|Jt!!;v55(U|6C8a>xZuOQ09$W!3# z?^v9($~O*NmF$VSl64aoxp>SYnnx2b0(xFySR8nxE0l-b^d2Oh)WG>J(|<+$?7LP} zxAz`mKQY;hLT_Tj!F8iEGhCc}7y0n|S83jV4nltT#+>kxtyf^Zn589?oL&yDMn0-P z#w%*qk?^Ut9Gv^7(|(foKX@KvPr6bb)}En$58fN>;%BcyNPqnmxXCpb=YnoAo9cDw zQjAw#?y=VSn?skNSL-{Y{^fx6kP~8Z$RGzs89RAbzD_?UaEKu zKGwG&jcaUc={7@p%>lm;CaS|77KM;r_;VF8qULb&7fPs9+{lonGZe7*@E&J8iw;% z%=ICkx}_-p-J&}=AN5;HaJ{-dxQ$Kh1|Kha{xN&#z0aI`jOP&3{2Qv1fKrH4PB|P4 z{gg%Uk-5KskGxTrp2w2tJw>f7f%%dP2l%>v?cMj#^P0~Pr#jSkrQ_!G0dVtj8n~S` z4*Miu`V3rnccF2e9K6KobxV4#R^2mjewlsMQ9mlR6Y9qfor-={Z2u7Wk7`GCRhm;g zCwwq2eeyB+Pp=Ekp8pX9{}Oq@)s=2E@9icJ@W|{}gjENZJyWsn^s6Z$(Tn`C!U_eb3_ske*vz`KWv70hTMX`4U0jX zro?o_DK69e>e$XWN7TMjF;1`6q`}A5r*lx2`ZU$WZ;w@lkFHmn^5gw)pyT58Md;1b zM9i<4y>TG;t-G|ZP8)1@oF?r6^gKLjn$xSfduTn1+tBmArPnyl=ii}m zC5{ERW#;2Khlft0ym|G+JlZpB5I^5b&;P7UDdf#I`nV$1`JbilVbuS+gR32>_#S}Q zruE3*CL<5Rf0%Z9wt$`=c*rK&hx@0Fb=>x$_f{Dh49@d`0x(v!W=po;o;&r*A3jPIE(S}1$)*w zuI@IXe)pfF`XBY(=gHIvJ1R9EWT#l(j< z>*~18-hk?-VK;E|{H3Sk{8+E7x++5cbAN6F{^7rfQ}#GXao(Mp;^FjF=)Fb^3`hRW zt&TWfRKPm;@ZIBRJ!bR9I%Sh-|CH~GQ2mDv#k{Cpcd6etJ;2$|Ygf8{Wj4~QinYM` zxL|OegZ4MIeFM1aGcav->9(|;A>Kky3vvQ`-J`Ri}Na`+MYB?{2@``SXX(@1cFrZK}ib$#dN`d)*d#@lYUsz5F}uhibz)=+%|> ze>j~S+j;{&8*U^0ADZG%-5U&_qkn?y0?R4>vFUiOGqa1qhpm|bu0twMhkjC5aGqQm zob~;H=K+~JlKk&RlYVDz_^X{6;Hp-2s{bB$$2lK9j^g2`TY$^wwMRNG>Xf4Ro75$J zn;P_-StTnE|LH;c-koPSy-c4<@w5r1euK&_a@=~-?~Q6coi94&V}Rpom>2ZsANpR= z&esdj@4!46?vuwqrG5j?Y{d1Z9niDx^t+|#H)FZu^3(^6%baeA{X{Ll(jnFPd-#E~ z#pSV&nLxt`JZ}=X{<<;kd%r)xxy&z}BKAgPprYH}mUoZnc`sN|pPflGQ<@93oCW_}Y?YDMxt_6;>cgf(& zuNUR*;P2SaS;&0KbBX8JAJp*As5jNNF~#|2B{*O9opwHYegPWS`hkc?p9%GG++6Pg zZl8?>m*1rNdt`E6U@5rX?V0ATMXy4u!Ou5=zg|-q^UjWJiGg;vD4j z>%zw*tff3hy$^9dY+3=-kLh`u&g-*2+rg{R@45VZKCDw->Kw+aJ%-Y_;yQubnBI7Q zx9{JA%grZge&42HpEnO~g4HJ0Gkra>r2dsCMGzjOc&A$bD@%b_GEZ1#C zUDsQ~Sb;mr5LvQka ziFGG7{Q|wZ8iG9AW0id1Uu+fPlv^bAyQ{}S=VKc0qxc_Rf{(4-Ry(dM(*8!{VQ{F4*olDGDQi%!eHb*+6EmwgxxF1>3b&&sRd9Ool@J_6?_PLt2N z{n&qW>+9gQ&r|X_Ft`u;y?P0p1=G5dceW02aq9YknN*Q7u9Gx=Xx zJ;8Bp6}Vb>0$g78SB|p{1Her>{XS^oTFwHWPIbtaPrK!jDU)Ts#d8I#HidkCe2sN& zeELN>y&N6_E?=(zm%RtzJ;i48C;uw+zN5y^hrik8OZscYp;zT5qyFs#suL5OfjCWn zJs$pc5A-bRZ;HQeo?ypy=VRb@eL31^+Si}txC%@I=kvTMo_&8I53=7=aB=7CJU>=|&~>=wB4YTwUs{;Usi&*hkR zG2|N7m&%q1Zr=1EzIn?ur&o3$@i9T*a&UIko9;yQ%v1ryWB({p1^piQ3Uw>43{@@Y@hMZbk;KR3Ht()!X}sLr<&XJQuo^)G=D&PPnldf%z^ z=683$N`HsvZTXDOS+T7j&QtL$Pc;0${uOcRSC_y|*~BG|i--{vPxxqX>-9Mle98pq zRe&${PgVJ9Ec*GI@+@AAqVqx@2u*c9_2Z z(yuMj8v32Zq32EaV7w~4(7e>lezpGx8n2yB^-!`>qSNa(i4>1-JLEyu+Or5g0rdX> zIzxY7ka z(|3T&eyfmAHF*%uWm%8@&x(f~Mm(%bcGRKmP3M$IC<;CENcsUjf#uP!dS4xJvbPO) zx_-^Itmm1~y2yjRB$earzNCJi9Yg&5@~aijhh05@Jg_5Sv_Cxk3G-+t?*}&rtKM?= z^W=Zl!~b(N^vfE?!iUK{n;n2zUeW6u7jG@NW=Bx}%(p-ie9C+Q&Pq$` zuG!Pt5$;p3s6%lUqTfkHkNNSbu07{IaNC{!&rJ`XG~97hKb`z{=BM!vFM;O=RlXp& z9Z?Bfrfo&NS$|9ZjRd#|**X>diihB4doIeux;jOjKkxa8{F9C&|FV8@?eu2dUg&vz zI^tJj8T@5@8|e9%@4$8K6-%97q=kbElZ(c?Ck8(JBh|U8(jM`s#CKuvkB@=Bn$ZH> z?g$EZTyGr@&N??CeYO4y{96P6%pX{(o(oi3fqt9JA)hKcz;(%DliqwaT{DL83L{zt$|+eEllxO9!owaa$&yY@3q0@!MWt~Tjg1Zr~E65=gu(N_pa_t zK|C+2gWCf1J*_Ugcedj;#-LxzJaF!CRWu?sle4`Pzx?(Y@~`W!$NtYfsLoA;+R*DE z&FFWQ8Z*iNQ-9R0=}-&#H>@+b`7Jl{Zz~l|sfiRPv7tS&Adp7#;-YE3oN zg9!U+i{s`Yo!6?=M;hkBQx)B z8dq95tRuUQ_FEDD9_vW&zCFd|L7ZAj^Yy4A;;}D8gyZVrI&gV<0L9s=A)RZLQownm zjo>D#*-^|IYT%EOnH1uu7klhx1u=2YPv}DDq=|DUW=LO(iLxbBoe^U4JnF z`kOt$`Qj_6A3H8&ICx>wn;$k)o|k%j4IYv8o>+l?@0LR%uzuAFsuR1C_F= zilz8hrDI$yvawS2x_(V0o%^=L4^$8T-o`%3 z^1X*%-AqTE`f@$mx6jeJ%m>Yc-ZWi=I#I!;aPIKYUbNo#PTc7HW$U)^F#%!3j}^mv zw8%f4=4*B~#BbtnM5a3ZTzYP2%TkdyzVhZ$$MrmV{#5tU!A)$PIOzEp_~@9S#GiCe zgx+&7`Oox0{g@r&I(TIIsLk|z&Nt=&m+!*!JH3g21HHL(o6f;2vwJ|FzX9c;+n?Z~ zT4?iuXFZ7}@{a>YR z`e44(%j=D)Uzr1X_B_u_$JLFO6z4ak!OfwSlN~ozv%aTlo)26sRzZ&2&h$K{f6Bml zB#QU*htIBll%KYSc#g;P9v52#amomalg;`U&n;p?0`%f6y^rgV6)~xq{vx3(xP8|M z^QanIJpYIYdQaCAF48=PT*AEAS{*6=DEeL7Y?+?meAGD~aGvoO^fqtk3iuDFIu|MQ zeVvV573H{&r~l7X6Rn7W8%#0vBpO_B4DbDk)FwAM+U;4i(_H=y=xa;Hp z|NTFg0daIT)&uupk6ay?s@LY?|IxetgL<`>`aDE^yv#W{HM3oWtfq4@&yfd?s~R~M zfnUr^`*n?D;QZ@0+HwB05E$8%e>FL{E&O$n{o5Qjfj;n818R_er=~mM-#0Jf7bnum|3cB#@Ht(K;=i{S z{yHXltKy=ybNI`LJ$5+Gsy)ZJcsC1wGyW9(dD4$`9=zENA2YOK68dd868)<2 z!{EbGR&00NocMzJT^dMn##Nv=YqdhZ;%y`3pVj&bT$WA1{-~0EhL5^gXS4H>zs*O# mGNUZT(T8qel`K|m@6Nt-`?YPr2ZdTMBrlp literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/22.npy b/MP_Data/pose1/16/22.npy new file mode 100644 index 0000000000000000000000000000000000000000..2a9c634ed0d590fba8741aa0750c7c1ba0dfc9e3 GIT binary patch literal 13424 zcmeI2=UjV@qNq8si&#>|%=~koUH781&G#tKQVECwxS^ zIQ7{-XunSF!ZWx1Q=bQxtMld1F8;`UzI|@HfA@Q~-5KkFc6G8C{8=Eivtf7c!Z&j& zJ%8bI>VHb^^Sei*ogFxUcKx~tJwJ!qm2(UI%V&RFu|90_&}%6R@iWJeOg) zY(E1&JSG1b+s-3DBENcn;w{_G&i#fsO{wuGY`X}|ZO`)j*S4GCt1|7U9x&~cZ8rz@ zKC<80)j1fKb8rI9*TX-IZ5I!spV)R4HkqDl6#Sq4&TqQhMtj(s>u7(G{~A8erNfW6 z{5H$BGd=>(sqfz7lbf4aR>#g7u8~3*>+Rs2;vr>UBIWR zzZ%b*;$D=WEpLp~tJl4eS0Toy+3$LNAf6ZA)u{h%ZSlNr)P(vEnvU`5_}iE_)D>aetEh8o_G4*MqIkk-!%R~ZYykjV*2Vp^ymIH`Sf{+c2>`ImE}$w-%0jU zj+}z$xnIZ!`<=NJSe}yeAqI4AXuq3Eh44K8G#l+AX<3}*+C8P3{p6{2DKFoz$ipq~ zF#z+eHpRYap7Y%~I||Rs&Wq44ihp(q&;3~RiftDKeek>ttDBeSeCI0{-nQ-X_-Bu7 zyIDJt`fpVh?YiJwJTE;@;d$p)dCKdfLuhAR`uiikx;oOY$U?cELaZEioEi}s7(fIDB&{F~st%Pcpy%7g1JJ5d)V&=Yz!{T$Yb?DsX+ z87~{U*y`oEGUO9F8g(c}yg+{Sqr%{_*-~1U1vkK7g*}81JDr5}?vywkhkobwpmF#g z1vk5kjdsuR7dn;tjctzoOGZzh3H_AQ#9NF)zC{0s*_Mj~D~ON(>H?lGvu?8G{HG=q zPw~~rgB+WUeq|hS{qQz%wt=(CcP=w5*H@Z>YZq5q_pT$NEEjiv1{Zq+ zs6Kuk0loRV1@X#9!DZ(Mh~LT63f$RP9`&Gpi-KNlZAtnT%fX#`FDAgh<+tF<2+WJv z_L)LF_cAbE^I6aNZ%)~R){@2IAw+gUxYaG3Zk z587v&mFjA_6E&OonjYZduzLmQ=eDHzdQ=Qt52-xX`pb)zDF6Fk)BGO!rz!ZG<>Yfz zV;;q4d&j`v^9HzRxQqC|OGbj1^9SbvX*BQ7TOaWE?TCL-h3dp(a$Cz)TxoEp|9pzm zeR8O~jVC=6@#yzH*snx#rN&mz_Pdjh=W>ek7ZYgp=94G#raz6RJotw!vz%Qz1ujar z0Ox;sL|g7`%7%|wl12M)`-n-_pUao%*BR9t^`pvOnhPG12lL1ZyrOyw+evkMV;l6M z-$tr8_hYC-^>8M*aw~xP5#9ZwtdH1o5nTUR9^7f*N_92p4{#p+Gq?%q5@GdB{|3%{ zilVMeQrtkxP1Wbbi&sGX=ppNAA8@%xe8x0d*GJD|U7IqQ$b%X8C+0=x+tSkdIEULq zFYeaEdRNU&sO75N2=cjAjr@01inm;N4Fu;CE|Py@CFDme>VSOe-@k+2Y;4yB{_C$o zFZXEpo9z!#|LS@m^zuX&>Rj$v5^41^wHoofrb5B%j4FK`)KW4-m) zZ|9S~+GvbRxZRDldS~xn;5syx^3$l2Kf&i)5q%NwDI6fjsbT9*A9oz zR}AB2t#2X^eC$42M{Owo>L&H;TJl=E1R%KI$~HUVS?e`E-1S z20;JCbjn+|GT_qx0M23M^N#Y6v>WTfGf3*Ox0`9r5Z*!S$r7l%K*I zrlH@nE5Sv+8OXEq{Y&U&kCEU`^c3ht@e@O=-dPw<`dV{{pSm1mIqw@xyxJge&7&yK zC$@siDYeP}dWS_;uO99I=TUW_S6kjl#1nU&^nvBTWycj$E!T?+V1JMg3X*@|!|C8- zK0xo(+)L}Xdj{%R|Ctwhr)e!ZFIu*ZM!)^?gR`|~$-h<`%p=Pnu9GK$vyK}v@8%x$ z%isJ0?o=BdMR9IMzsA2m#S>No@tc&j;NrwMa24i-`IWtsD9#?s!OflqSdY$As()4Q zD*2au9d7+a&koQ_-?lWri;6+dr}d(`YTSa>%ieCs*{(8##p^G ztP?n!IUIUjcL&ZFIjTDG%4gB9@Lz>`W6AH}Z_0GSde_IdhQa67KyVe?iq6MYZ3fvm z)r+f$Uu>y{Jn)|XMOtqBno~TI?sd9;*FMn47l9A+9gg#tr=0bJex5({DtIrQvjbdl ze(?>_;HJ?{cteW37)aP5yksJc{SdOzbl{e_!hN>%HK* z!{R#DN0mAP&LbxfKj?xy8&M4Xio2!2RmF8)R&P$U0B3u5P#$JS`B|>d&^hkBzKn6P zTYD+bU+khd%hP+8$x57U<5d3tfb*ac(CfKA!InGkXkCk)-c)Z>-X>XpnYSPMmFvz? zJabbiKga9AM+z^>+qG32tdFQOoZ@`k1>89`5cQzG?F_Ce(taf$9}BhqBB>7Y;4IvY zcudlw5bMKlhCwfuOrUyx{{rjI6qZ+j@fiW1%j>}9 zhR@-{cDpUL{i?>p(63HCkGj=GPsUrl(|$0x@@sDFcahLi;j<;ZcX6*q$d7n5dWGd` zND1iK;Ue&n@gEmkF2D4lJU{v#@$kV_mRRn11|S}@bT|C@_*Wz0U#1Z4pWVXYuM3|3 zJ;nNzYe4b$>r3(H&ld(hZa(F|rXTXGi~Tsy`moiph{q&9Lcgr$wzihb1u5W;eoXn< zSkKk^@IB+;&o6JmKB?QR7-zZIb&ldc=ZQQk-xu_r8h!(MR;C2nbz+AQ>+ejadpLh| zlEziHJM_HONy<;B`NY@UO|W_$wwv-$XcP7UmG@MX?bmpEQXT>ez@PQ{Cdlep$;a^F z(=Ji`CEZ`)eb|&FpIMuU?<>*6>dnPF}6tauvN+is{U_AGRsjfVx$JjyL2$!G1aah99;bWZ8f4-tsd0Su}9hWuOPn=a{;jc=E(fmH28)4%VZ|T0F#dYF;?dog&^;fh{Iu+=BQ!UM0 zW%a6TP58(T{V-l0ba9~NtYsp&sBci`Y*^X3*2i(}j6BGtXDOb?ON8aJ+9c?m4%y(W zRmrK=$E3}sdaAS(;}tdPuCQG9xtJDf@_* z%f|U7sval(_Tsb;w5||k^+IeXeZJp`Z|@XhxsxypoOkLCA7^A7?pLNr?)zh(Uc@)w zhn|=5CI7K)!NvTI6A@>l+T`Q$0QVWzf9?eEeYCIY`EeMpY<)b?-H!KD9Q17N&&a1L z(3$RgJH5c2=Pt;K=spCqF=Qx5qUGR4LE=H9o0|G z-88OYPvPS%t`9D1Rl$8vtSbV}BD-RK`P=h-?RcHXRL^4eA==MdOvF60-t9<#?JD%* zcw%FWYx8>KP364?y^}Er{-$qUihsdm%%d}`2i?PKPlukxXA$psyP5TI`rU=z?2kd5 z&bDLN&vip@a9PKb&XLBM(a_hp0w1~l9K}=q>|`6idiXu*1M8B{{HoA>|}89p$qYVMEV_IFs(=D z$y($=|Jzzwy*`zDf9Sss`<{3_6aBI`x$mvr1Ht8~s=-#z#C*ib8%+Y|aR(<_&Kqbmw8C@!WX82vs!e13GJU~`;~=BFAvdulBN9uu8YwA z<{ViMACb*ttlm+yKbT7c!PW0ok}T&_vZ-I+P;mLKDB{rvJA#XdIkfLR=;&?7<)n@V zcYL;io0k(iSs(NHRPuRzn&xrXbL<;@2K~MyZbXni`>~JpVd?cSFS7a&(g!yjYB`Vk z9{Z2p@eX-r5#KDb{<`vy4{W<^^?>T9+pt;oyYZ&|O0{f-`1!R)*bi088R(r!9;sHx zvc6nnKY5oewC`SfOnk=AE$o|IB$Gry!Dr*(`a1PY9M}bCDIRZRi}8&wx4NS=WpYlraWEX&nMO+ zea*+gh`*8>xN+$UuA(bOSgr#mgNxU}=$AErJr}&tC-lo(e2smKmsg`LcgA^;K4u?$ zWbmX|%f*8H5Aj^fm*Bi?;#&KiZQDZq>O3^A<6Rbkr+$FH{JRP5Cx@4|P05kV>b^AI z)s?W1iE9;5|DxSca3}6K?R&${Vjq*+lZnT=fvasxaV|SPr^#oqAMwU6li)vd4!BC! z#51~2wVZ$41TO#hi~Lu%z`5o;{}S=DV!vV^HqQ$9+xVSlze3N_-Xne%&~%yg5l32s z^Yeqj<^2}REoZeN;UmBQ^OAjDf1DC!KUFoFcbRnrbt_Yj4~Nf}8_2)#dia>s>v%uq z@oT}&q8`K()*}yW@@)9)*8gFD;NRY#V*S~wAE4LclfXscpOp1y`-?!&Bl{p8(X7BA z%Xv~~;(L6-o%nMYuNsyBu439;w7zOyhJybH`a6rPUkvkZMooycKIYUE^egj?r+PU4 z3j3`ZSC4!y(%*MPuZBVJ3o4BIak5i!E-T$~i{-NNO!x@bVzf^8Zo+s?q&GNg?+Na_ zuY&xT1+R(!cpCG_O1k3wbuQfoH&;&(?>%vl_1AZYAs*+`Tda4H|0kTYX5U8WorTXR z&u+8mzBifbBezGyN?$rBI z=vU``jCE%k?}J{8@yN5&F3%wABZn_()Ni=H=o@_^=rI zdpXbeE!O(z9~KioFbjF$J+?<#Zsw*C&!0&7Iad+uMHCIAcwW_`JYP)1dyOdb1l;sI z3%zMEb+{dudUAt&D$(z~a+K<3{l%dxrx1!HkaNgi9@i8lV+J0Gs-r%~^ zQd)QO*JFJNlLT&F_5n9%qQjuCHV|BhAmS01pjS(B>$zA7#G|82RkeB$$Q!U;~{v{VtJ?u@3uzFpjHT0}pB-WAYIu7-(pVT3r9t*HuSlW85Uly5r4z4?k zb-@c&a<@LlD--_GV>|N6UHux^e)XtU;Jk|)t?QuTxaYHX#GM@x@HewMhg%;fp7wdR z>BV{bJpb)q{H~~S?;9+kKb@x$=cc2*=3a{b#WirTX-tCUDvj!gCHjFoEB0eQWJLl< zzu$+>S)YY-pg%AGaf->lbY84oggW70#8UhxCsN-2DwU98EH|0- z{{dJ?XVe?d{y8ZnhdZIsZ;4ZK=9WEur65R>*Ny_zt#H4gzl8Lh(d^8g&*u- z^|JhSa9w%@@+snd>0B;K|IbQ1KMEh`yPL?HcIceaZOTBe#zn6J`sL&6)4JGJ zVw>%k)usE4nbv^nB%`skT)Y{KepTji#4mRrU5t1>?MEKOo^aHyb2k+8DEsUK=gD<$ z+vm;S=U3q~tqS@zYvxlP5~r@WTvvETdY5>tcb@6J(sGq@8(h{qhWd9x41C!7;>68h zV|8-FGsMX%)u;T-pubo0qr-nsvF$;7z@1m8(66{M&l~*Q4eEC~{f;3cvX%97b{8cc zRF&36|4`JMY;y-bvUw|T^}6R|t5?S!fs3d@v>zTn_zwTS=7$gPalB6>|4zRwz^ipE1$yPrlc?8GM1g ze_%TF{CQo}gBTdG!E#e+4C(**gz=g)nV1*neeS)z%o^IS=1)XCtV99$F#nbC=RJL} z-|9xRj`Ws~7#HjCWF6x4r~Ovl_(1C@WM*hePQPrzBJ`{CRz^I$N2ze|p{t3<=l;L6 zZG~~J$>7c4^1*uOby$|PdNo9Yo2)9xk0^H;`wy#4_esW%P`@cjy{%q9zfSts+rjm^ zc0DXNnHk``)y?oSrqfG=2r0qFWd_8h|NQ39=E^8IuaT8pf{ymXg~My=nlOb z-8b|I7n-jtsR4**Kv($a2RBeZe0&pc%h_wnKfkmIKJur3s#>nM<-R9ApuczX!am{f z$xrY5y2KEQbE5CilpMY3A4l>0a|ipas!;~>!Y7SJzs&6*#Xois>e-BJ1}?*=(7M}| zFxC2tV|4DT-U~1TB~=SP(Jxk`aPD9Y>(eDoCmr4L*;ykU!FP`X~(7G=-#ddAEI@4WcvckS#L%2 z)$}g7zE(2Ma?#8WT%Yv@H$5vXwOlO}l%KJKP(O0XnKte@T>H>_oNSzz>dJk00jqaz zXF)Gx?qEOEM-n?*J^Qad@*sllfjc!vjJ4ck(tSWzr1xL--$tA-a>RKlu%~ zbAQ-G%S9Wi6Mms6>El|Bvs~_?_Z{;h1N*tT@8S=AJ6fl*)M47^fB(Y=d}VRODe5$b zkI8o#_ZHoLDf$&X>3!TOO}{6LU7f(4%qEye{Vs*p-EMkMm)ZYdUc~Wbm=`m<9qHH6 z?~rYuKo5P1C z(*MI$*E->T;vCMs?@j-e@(?vO#Ew_?qJ2!yq2IyOf?)%|_cw%(?z0&BoO57=jYlT^ zjCqj@*PwpH_ASxSM|1;cZ|S@i0X{P=|NnpgH#4Ba=>3+}F8s*Wf%147WACeS=W6Vy z;!RM7<$UJ{+P6ox!G3BslmgeGH5R7W)Kxh{`*;Lr9f+h(~OJqG=< z&1>P$I(Wk0G_FDC+56oT=iVY~;1hnC_Jw>s;iFPFB2E?@h)2OVAtQvd(} literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/23.npy b/MP_Data/pose1/16/23.npy new file mode 100644 index 0000000000000000000000000000000000000000..dbbc8318154dddcb87d5c8bb42054141b85770e1 GIT binary patch literal 13424 zcmeI2=UZst?tUF^8eev ze2g(?M)8N9nXi1u+3R?9i+r4v`Q9XFytMCGL@c#uyuV`K%L@LF&_0mbdF(f|>torj z+IExShj!UJ>+{9>JpzAK7VY9Kwd?NGF2?qJfc7FC(5@Gkz~`MXYIl0vyKmchrVxs=+q#~qB1?S6dA>P+cs572&++QkMB#P6JpylvZAdi;Icu8w8-$6iRYTy~rT zA17_{8MMcILw;qEHFs>gbEXU8{%hM+(#99iwYhT2w)0Dyp4#_9 z#bI2kRw(?;34deT#V^yJqrK5g`drJIO7`I6M2tPUQ#5>zA zmyM>+c`^8kws+q{KQ`nZ+6x`MVc$Ee^1_GjfBD3|S20!7ZM*SEM%<#|ReEKc@p)FN z2J*+V-7;3M@ARU)E)Pz%?@h1o@p<;mh58@tO`o6F0H4>t)WP_i)<-dK&chw}ycqcb zpBITgzDNJ5-{JFO+jGR_ygZHZ^AT?AZM&XSVWRDi`Bs9DNO+8Pak<(?%X#}zlkKa1 z5R1=C9`+UQ-&~7N%H(R@vs^?cR7HE!cJ%q<>#_^WBSvAq z)zwQMn`gc^yA<_bbtT$$!@Za6=bYsJSJA#EoId}lW)5NbfSq@3J5TMOX4^%9d6b75 zrO?hQ9lVV8nMJPIc9y>h@}fQ*MY|ZEdn($$wRmOQWsg3zzV6&XyL?>fWKt$~`Zq;8 z>*`MR|DZeSTeN(+*tV;&6~RTVqL_c@!an4M4Ji*U8|f6rr`$c!?mH)l>n zob_QdN<*(kjzvAmYOmH=&Zp%EH*Ra7S8>0Se{?E*^lJy}UDm#`$m(UjUKod5e2Vsw zppBzFt^cmev_5?W_AgasN3_*D-|EWS3?B`X8&vfW#)ki#f z!A9i4xPPL4HE|w)7o45*SYY+~c3sj}`#{{I;vCD_=|22 zxW4EOJwGN$-|TO2v+fAuS9w|yFI1lDVMjOU^^+Fhs@i&R@uF!6`rS|ooCo+}Ud)QG zYte77XBaR4HXPhJ+9}p@eXaxQiVfUC`T6vIt!F0ZlhToAr>`6K9sd46SF1Pw9tGEv zy3juRG`gqdvc-JT&+iNFJTL7I{}L_1MgC&ok_`#6{_=bknwPC#Fpr|$&^ng$#C6cC z?Z+^WPQCHL){rZtdR_RJ@`T>>+(h-3_os8O8xEp>|ZS8d;-U)8V=>PJW4T5LH#kqz_cT&22l*gvRS zXMF)zz~@m=}>PUkAj~ zt26W}$&J=~Xwzwyt9K*F=c5bNXR%sK!Cy&mG3gTR8%t{=Kl)&2n)iG^LC;&>?_u>$ zuba@z>zdBHqE8&ldHO`?)rXH%=j-##v|LZ9N0I(}P!1^pw+ze%QknO`6DYl_}Sew>5PC~vzYjo0@AxM@3#e3DnrL!4WO z5l=dVebqF}Gs1E<eaC*nwR9#;NsEvMV7N?pD|w1Yagu(?+=Ttk6KN6V~<`Fuj7Svq=v7C-g*8L<$r%# z6!iX^D4%)fQXP7Irgc|mIJl}20lf??7hv@!M1kv73&1(^o@BYK8%p{Oe&8%lW543T zyTO^R34h(V$4aYr-Vs-qYC^9YHwXv6a)b0+$`UVecBbY0d@kA_KIH*d(=ujTZchA1 z{kA_u=R%*Mh{u@hq(55&+^Jk+uGO>9oZ$Rx3i$+j&^#6-e|2gKxN~_2=3TwW;;&kP zGq2IJ5KqWX^ed7FfSZBd%5uGZGx6#Z$bWG(=2!MyLvcP|2QFLnjD!#SmGpUUfa}0= zR1d>w-(V9uU>@bFme7m8d!rs?$2K%yr$+7cw0W3P0pk)6r-Q4pW$3*7YbpHAo5ApB zKTeov`(;1Q1J|F%gPVgLkvGSe_7k=D0{JxUOm+1x9D3Fz1za8}jQU~y=>DU>O8_^C z!=X1hX&-PR*JEEYo?bYw^_ss?|MF5j+TU`fjkEEX?0wcT(hSNi8gJ@E5i;IE%|qI=YYE|_;YVIYlbYdbmzKOY=uQTlsrl2Y}W<8mOE+r;KQno0#_+Nj^Rc9psbwhObPrKA~|`Cu_E&U;XpJh46V#{;F6kI1fz0K4bFrL%)3DVQ@8heq-yy z>mR4_hK7NQF+clTZq^l~{DhPu{~Id;EZ4jxxbtBz;&e{;8e_TIN9*1AT%&Q7xP?6P za(fXcub3b6&VQ;u-_!Pc{0i~>qoL=WqCzcqMrN%?5lHnGm%i5e%NKMm@VXZe5Bu*U z0DzsdVsS$`+}^G6X=8ZWhdIN*z3HJQVqN%6!GTV{0d)U+HmS-QPqb2mYl-QQk&0qIFcb=X&_(DopVQ z7J-kceIw3t#fCs{l3ZzCUfu2J8lQUtiMon59jsIU|ce#JM^;D zDeAXqERA>m)mZ3j?uU=)w;lTckNY0yj`O$+<>5?j%3qO#p;pfxKc#WixQ_U_XE|=; zbS@O9{A^7i{@`wRtLG1El7H`2G~SY%0xg%VH^Nu?_=4;F-{D^Ew9W&)SU%QI?l{ynbcgIqP{J_{daO;yEdP&4`;*QInysME7dZx&!q3 zLANQE%Y+*6H#Z*RJ|o(>hgz7p!CCj8qx9S-H+`i0PpLZSSC^|oi57t zDdk(@Ze79kxaP4|FLyR7w3Rp&r_I3b>=wklcMx&n%{b#z}cNgE#SlMQ=G@=)3_G+ zAx;$#Nc{$P!#N^a7r^toOuPyoKIRhQ(Lr*WjbF^FPCn)9kdObOV9U+jYorg_NOkBs zudn4Q{3-2Yb%&x3o%F3ZPt|yeQ_e|-p7|YzKf9d>JwN`8^t3N1tY&YpFYpF8C!&qdgHGOteNW!nJKA#NPS35}cM`a0eG~aN-oGMFF?BjPJ1}dC)jQX^gX`H_ z$fw03I#1(&q;V~O2hPvt9%%KVcn;#jGO#Y>$u{Ahw%;8+DL?zJV7%hh_;r?xb&bj2 z^$O~o?>sx!a%Tm7FCpVU(7O0-G1jT{)zGt-*GVsLVqLQ@*^vkHb|tu&+SJ>|W6sqh z?nU=E=knL~maE~t!NsW((5rw#UY6@G0&yCji-=P-sD$Sx`8Mmhrk|qxm#L5QMc<_7 zIO!7vJwMwB>(m6EhClCE0(wV#VO~^)G;pVMPjKF7%xc85{S>%)K=(=6zzbZ&(*DL~ zZX=(0onoLb|Big(B=NOX)>g?lz(s|qA=bw;&)5(3pJ$*qJ=^0sj$f?4+3NML ze?YJQ+DQFY-aXNBx$hx3cU=qa)OsIgxyV@(KHPsc>C3y%u$+~m-=D;+3gG640@&wO z!c2;%>wMDJdp`j_E~((6Z#9blTgNfrZ7Ck*+Zf3g6nq_m4z8GNUm# z`_l(pRTv&&^?cA&igQL7`c)A>ECHYK75%ClWwDR(m=QsivvwVzcRn2?pJy8uTCUu( zKen&t##?ay&w(xWy*4|k-#T>PlaY}tp{q*%x@IHnC;X2gZIZ0M!U*)MdsV?cX6_e5 z{W~`YQ+~oufXh6`Xdk<_5u6|P0M~1#<6KrxP7$vhzS)j(uenJmBvPER1=Vy`v(nkH{SXuD?wH*AGhK9F*R!@X^mV zQ=VrghFTwyGZ*TIdtSl0EIoVtVYz%U7e4H3L9A1DYA(hr!UL$^X5DE09?MJlY4{%8 z+&&9`xoa)@)$zB$dE?XItYlMv^cy$?@t8%QvEKEfW793y<)|Lair2`qp6Z9X694Rk zkE|Ps{4n=Bs4G=@54i6A1wM}FAeEHq;{=`oSFa0SfbZVJ8Q*sqe7v zSo=fde{mf0%-&Y?gU{&Ih*Jbe^vkdHSqz^?d%#uStJH5IJ$Lh%;qVbH>GyKezQsc8 zqnfWE{~Pm=2fa3K7W_*k5>HqSt}pk4Y zqi=3@+YjaJKm0U#vd!d?x*eyT~)^5fE$jqLo8@LlXHMNDH=H ze^A7O{sDImmsXaW2K~X+cKUr#>*rY4>P0v>D;Ig!_QxM>9cT3pp9-!Qq|>^7{4vUM z=^sM+ZCU>>;GT|o=lRDFck2p0Tjv42NDc%y9%aDg{hFwMmPqv@yFI1&8$B9p{dES_ z32XC(`0zHk=kTA8laCLFkMnpysMQ_Cv3Nsh(BKB8W$~8eanXqQ$9hpZkG}#90BJnLhec z);U`|4)tJylJLEm_Gtq>UlNXW#G)cm|8j6m;u*`ZUR3oLSif=rorBKD6s!v~>8%I) zefNyUReBHdX$swLV*53f+7Qp(l-AebpYZ(76mci-4ERgGuyE@m814V!&5QH)^J?zK zG2pK}5RY-C=W(ZRX?#z@JM0Hn?{4Cpb@r~0wVxAm82XjrW589>+t?3H-(cw3sG-d^6xCVk@f&JA7r5G-Y?v~ zilT0a)2Wp8d*vO!Wl45i`3`_9w|@}7s&#j;<*MBc^5^tDhH6zb9zF%g-&CxMJh1Qt z+*{TF)DU!GXLGI-!;_&fDekbgC)jAOZcxDP(8@jb+E zqAI~(1+{=)R_O;W&#zi;^*m$}xcQV9TwIs~9}!6Vws_qU@i=W>hFLwU7ejG=5)`NI zHwD~(9Jm?X1f17vtt@v!5-HAuB~U-AcKJBVWi-`~voitQ6#W=#xmv%Q{D*~svx6@u zST5Y}gY#AX;QajFN#L$U$baG}a8a-f=1Ui%eNv{z5TEEC1%3XP(2HwBG4Hzi;+>YW zdDVz_$%*(`7U=m z@44)0IQ&`jL8x1krvdV>PP7MC3-TfV>~zXP#955a5nXRPxHIpUZiqAHA@uU6I;aO{ zT~UVWjXiUK)m2UaQPr*hUHGr9pL=T zHgLA{f6%kg!=&$375R~=ooN5@I0-I0{f&Ng+0MS!M?bp;&YJE47hS*guw0tQ;9}-V zij%MLhW=a$%76Ki;H=j7ojo)4=ICL{!=M%zubj{m=K^a(_k6K}_DK=42IsQs*Bt(8 z|2?YD^NVn=miPKmzeVZ$aI?PtMC;GmA0++I-RPIcT*7{78YeAAM+aclf`h=Y1Vi7V+p- zOUHX!f9`{EsRi_VsEUaXwA_S!56*-Cpt{jdzV(Jou(Ka9tz@^Jr3cqE6JsVpuQ6uRG>Zb{M|J>V{4ir<*Jw;eE2KcC*`3OFV9TQ*3omE8J-h$W%jMUf7t3@)AJ+$@jmuL^TRP8 zt5*-}AbvIJ0qv8mZwFhhxA!G}umF6VjqheaKXN*_%>D#iy1ZP9emj>&e&mqms89C! z%kSX11EDvUlCfW@#IN|B$n0%Ey!?02tB7hd;UDrA<8uD1Kt3zZPqtk9(*0Sc7bN|o zDAb|KPWLhO;VJz27#|Z4cHR({#_#FRs$OJXnf(aUwcFFWz7!-8{~6d5P|~Je2;=M4s)B=T=oPYd;V6gpYBr3V+_h6aGxl|6!`)?dX2eitc+V zq%FoP%PtGEc{7ijQ9SGDdobbK=NHTMfO_B}ihd7uZsr(a<5BaQVP06oZ#2Id8FQ_k zHRwU}6*C!JHQf^pZrlF<-~V$NP{*rcJ&1C(p4vKa9wtZH{|DErR-j(lnI&nK%POs> zC)sw_#@J6q$J*fh%V5;4%C;Z-xN6^q^zP%Yq{BUlg{0)BGuFOH^ya)<+9?BbdKKjcw#xvIr|UG`G$({S9^2AU*C(|ZMm8q zP3tq~5%{Y^M;-8K(dgH?I3ND}R*M~$iysP8{4e&y-+B4JU6yNi`oC%+SHWM&c=)rD zKOt{?$SnA%Twa^3-h^j;ANr2NM`sU3oU&LQ^viZvC!gs}6437!AB@-e@(5hGMiPIT zkM_;^bKxWXKX0{q`RX#bDDW@1@~wtAnYn~`^y1*GIFEumq5F{s)BGB^;~u{&>Hh$W Cc<<2w literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/24.npy b/MP_Data/pose1/16/24.npy new file mode 100644 index 0000000000000000000000000000000000000000..9bba699679bb4e5b8184c7a099f9d4fa376b33bd GIT binary patch literal 13424 zcmeI2=YP&g)W$~_ZKJovgk5DtUoA>z_1;+|7)yv2Bt#<0geZ}fAXan}Wuv#~En}^+ zSiRTLd*5JLJelkG3!b;np@?}rl5E?TBuaNq5jclTU7>qqVE@n>p(#xA;c z^O)LgPinVq{O-XgvIw=Gq;}bz+EqyBJMjIp8MT++M*ic!KHvD(ZP%`rO+>q`lZP6FtppTd(kfYZb7@6P3?N{4fM|oZ@lDu*bZ?yCGA55P`j!A=oa|V2#nu+K6)PQ zbHBDPxk35aasQgr$z}SEYuCr9ohA7oe&!!_-L$4* zY|dxO@3qA@T)Wub9&xIfSC61QnA)XhyJu*xnDpFz>WkBlx_0qm`eXN9g(P5H^1?{? z$=!pjYq!BepF;n4G@i3{!vAsK8Jl>+wX4q+ue$Ft{Y8vhm-cu9{my^?aqS{7kovoo zf#U37Q=#{byXD&1-3eFRcaxfle42cCi0|Qk?_9g}*^Rj6&o}VN9Dlgf$g2p6c;LQ^&Asuw`mH$nmpQxPd7HNu_5Y*|#>XlzrFq-93eW4Z4E-zBBh~fK zHhji&yxU8P>z`v7zx}b?GS{wR6GyuKY@!!@%zqCkKk4}j$Mve<(e9I%F_++C{rbG_E@pGKjSA@@#g>+p0p3@VtL4#XqDV+Ij9k ztW%X?>qXZt!+nugp5*}A)r0@0Anrq+FI_u3*bVE4r@u+h{}YA!<5wQO!1LRxpl+>C zN7T1a+2T{u9@EdiB_8?>=3hk~NOWBGE=qj&R&Y_me-^kpMeC$`A=DdRGI4?9mK7v@ zVi4+y@A-Erc#dq~eBeUbmm)Wkf3N%GEH# zLY#HF3C`{ekAuEI! zh5w{|VnUH$;S<(?d|np5>6`YvxUdI$Ugsxpu^|y$FBM@`&&t~MBg?);p3RO**mv}ob1mSLu%Gh3uN642m%Sr= z9{mcg&vXSha~2hIT$~o`t=FpqNkTdJ!pA5pjF(`M-9 zcB!0Lw{8_82vmNKndJzviOa8elQ+}$pLO%JiQdH;bJEIQ8iObO2 zVkz*~8=s>7MZ-|&+5UH^bK5*23jX`Pr+L{Z5U2L+5{@`m(SFTVgq`zEi-V=^jCY?l zDG>g0V@>GUoj9yV-69vo8G8|&k0{>M`KXSCN#7+Fc{W7~AWnXF2lAs@4ggn8ORjPL z>f>+FtBS)gE}8ri^Q#a3N&W?AfScE4XF7iw?@#>PH1hGt-V^<%9|11%1cU4FkytPM z#b@+uOW#Bu`0H`t@+Zo_x=sDERXx!!Z}atD7Wx=^k@#h*^EXRRBX1&KAULa90sEDx zJOEq=?xuZp-M{@2&)YxHukbEK{eB!7?wjVreqKiNvh4F&_g!BuI>G5hqy1Dr^~WNg z=4D)nYd7U5Q{E;Qq&(j|G1GDD{{iEbxp!b)n2?;aoR7|Qi1Kjf6}a#kigjeKF9f&M zN+UlkM~*2@&n_(oSC6M6&*E|p?DOjO0C46v5qj|^Ho)msaYg*QIBF7j%t;fBP%o=426Y_U82@@HUySKd?8n z-u1%rs6$oqKj_u@U0Ag6JEb375; zCd|QlR5NFT>$jJ{#h6~uvq0K6%=axYk8-C!^g6i<>cM>5nC9zo>;~VoZg~y5wffT3oUPtqop7L*_PSbp)_MC}v^{08~b5DTF z&3v-s`o&2a*X>QjO*r&oRY4lpprzQC)c5buudRL%^{d5kj(%BLg?&KO_y~V?tR>dF_4gg`d`y|1 z;4)oPItL@#_C}m-FCl(?rY!OxuD_0QocY#+zg&En&e@)qyF0FLc)-W*9RzL)zYPNa zCkT3eVK@9)^XfRi_zpS;)y8Ycr}3IPKgId8`P6UFTJ+1kU(9emGK~C9(r*;c*%0hA zDwgicqWE5#uTE{NI3Iib0FAeNIJh>gk!Rj22jZ~}3xJzR$ND-wzb(Moj%|ojMZ^R- zt|umgi@gXUKtF%iX9*B;y3SU{p!VisZKIx z)`)Y4AN8C2G~$ur7WuJ%R)CLs){pWQmb}*a$Y1DOQ(+xxzHYV|?tILZuk{e~b-&8} zd@TG=m#2BDzZ>!Jhnq$_A9iXy`c-8|A^&Rp7pyxOGMdKK{uI3jj;p*L{r**p^gE|e z9{lzWgwM^@;C!J6eC)Dji(S8FP5|Y9>;q*pC^3u&|3=}7Zv(JZxYH=o=enN=(x@wjCfeFUGSG|D&mx{vS6QN zQx*JG_N#MJT)%OZNuS3b@yl*MjCWk^iHE<49ELpeq7CAmzswwmc;thpl+UVpT7YNV z2X0P31D91>qYh1@5Xw*e&9qO-=#kD}_?#sF`W=yH_1NNk-Eb+_p_XKn1)bLvee)Rk@(6OVWv&^+=V20<^cbf4+C4We_3sr!gWoxDr; zf#C+@GUXd$9?jEMw4XFCK>dDD;Id@(i7rllhW{WQTKNTs%uC^tJ@;&uYLN+8=79i*PAm>$g}rxpWz+4hB>YqdeeMuolWyA`-J+sexqhW&m!v~ zpZ0V+oWJ&YA8-*{nCk6d-WJY>HK21xeyK|H^4O=H^UKn?7cc33#MI42KKIh${$RUNeX7lcF<(3(SD^DTb3Rc#g|>EXQyeENQH z9jd_1p%%1H7Jm(HgIj|$-&zSyFMK8v4|$05%RbDF`r*@Cp?-9&Nc5|6S4Q4c-X`F( ze@Sq&&l}^i8K09+#VX*e+GgyNnr8zS(OodV*7|jIrU!Dm|y;=IrMVE zHR$E0RN>;(V^`C@k#v>z|KE4QpLI+RJwG^}>bBTX+$Y)I$uz%>--DZtN$`=`Zb5H$ z#v)FUGzdQYL0{@uw#7Lj&afEtn|OidtKT`qV{E2zE`Ae6>(NxKOyf;`Gu&}@`y%wV z-3rVvtC^#_<2DcdF0MEBr#d{hALprTIfdf%I!yJjX$Snp*gdoluXqAI%k(@E{)6s9 zuZxF(t8?{-rlk4vpT{76HLDZmQ7s&g__;?SxGq%$d1IfiFK~KYVjSu3bO0Bl*5P*m zIb{pD*t3$()9r0F{J*UYZi3ce-;)8&@SbIB(t9h<76z^>g>l4B?uc+c z>P-i5#aDu}<2yz;Zq}Cqmp*UEzeR69^m{uU@h_jSF7)Z-NZ&L)>)Q$W5m(OBc(?zy z)Nxt87W88MIjaAH<1sI$@xC9G4^B!e8te1FriPrFho2rg#R;p#5;~>Hs$` z^L8k>ewa-2^)k6F{QaW9dBqdpD&`8_%f!u=m>26Y8C>l08sL0bdD zXgTaZY~%;zSzjtP-}&2JKKER^&UFv0WKiHJ#wNzR?<7^(zKF z@9z}{?lB2IGGID58`FsVSKlZ98)d2fYn>em|1BHA&6xV&BFm>h_*^Ime|fJG@w$nl z9armWgWD1viKmO2=(q_T3oc5Grg)B*k9XV_{sezjun6tv?VAj9Ts~}0K3(>}hrQW6 z13u+4+;^XR<=1su=Fe5`yJ))+dhJ2?J?=eYzT;}me-wZ9n%GbHyjNH+eBD5Bw#|$7 zu>w_4|0bp{>8l+fzJlR>oUdB}F3b6V%kBqoF7tH9z{T1i(tqqdCdKtTY&!XzHKhM$ z;v~n-@9V&s$3bv0DxS`-s^1`f=HCSSu-!X22=PB@O#0d%5kEUzFA+Y6sIJ%x2`+Os zTk5!onFt@VVdr`Gyl$U5#eIs1D2k`#A=IrJR(F8Ys{(7l)$rBi-{U;}4lr{i>8o}D z*Hf0pIK3@Bo$}l)75jteRu=OsR@2`>^zlXDY+!xu^rA*~=v8)q#AE#z^>SQu`unI} zOMkDCxqipIizaiR7c(25^-a^U4*3$@rz%?;@#tN-P!H-thbZ{>o&YYBMuPKuMN0F_HDW_$N9%hs2^78BHg7d~?S6%5D2bxKBNb)}1VwkM@~$ z6|nB)w%yQM9fCaDA8TS>%<@=Or$)_ z>@_3B^;>iv{AK8`l>e9;QyjPD_fnko7J=J;Mqs^&|Hguggi6S>iF}NEJJ0_JT)#d^ zK0zO`|Co$dz}4%Q;9~VRU7WwTe;(YVrV#h6=I`QE_d|%!yFqncCoBQ+w9w@9<5&Is zks*%r(+Zq<{S6=a)6dFrb;l3fhSA>#RmHNCq3;+8t~XD(>6@lw@Ar&wTqlhI=d)9> zuC?b7T!r;+`+i9Fbv)IOf6c2D&oHl6&`+cKloxJ+tNK~HInFzEgJDyaO&ag?x@Avr`C$~ejJ^ZCxkmLY1HM5#`pxWoPA`-4pl)TJ-n1_r zX&d0{`W;N?tavdG^&o3sp6K+fUSsH$io`nN1NNf+P5uhtx?=*?i+zCiBb5NZ< zg>@m0b^Ou!hzn0B4>`8deEl%Itm{|QX#{S9>tKDE%J(tvVi$2;FB1N2d#*_5V~5i| zZ<;+n?Ve{oVYv6o#dO~g>*;-5jIS8&+Rc`o6#tN`IA`^(l?mWFkopY|0%uvPg*$G0 z2176Yp#NuJx@Vk$e(F=6ZI{6~FL+nKu#_~to)`xoyL>eA#vkU#I%0mWzUHSI=?lGF z;(U0>V&eJzz;&(~Gr=?b0?zq*aP?p2D93f&7xE9?3@-Q13U%CcqkYfjnoRn45%l}v zlyT7Wu5F0x&W+%+mHrivJ)OU}^nu2e=_K-R zJAI>_URB=#y*PRc@v9PJa1WO?euADEKN?r|E_0pUObQ2Al7F%Ms2|y}(gMfDC8{4&ehavW z?-CCG&&lvnmm{nMV6wKRQQL#5&9i zn>VJ3)3a*#;A1?ipdNVajJ1xNy~7ZXiJ{-0#lX<9j@y-ui3cTNy&JDVh(~?SKt63& zz+cDIiGw~nts_yNQJqI*qIFa{7Cw69e^^I)(Z#VTY5u(QTyQ>}e#aBBbs`;?8JC00 z?|M+(M%BQ%rajkFJP%fbo4nscFY@doJ^P;4^~`<)osSOti})IPPtig5yE|@bTn1Mg zwo*K=XaDTDs6^|9f1C#{KGyAoc(Uimctw|d;I@iaGhe5Fy$@Vp6&SDDTN~$sZc6uj z)`<2=duAG)%aiI+{A(=g%0!3taXzXD-N%eK{T?nomWMjdLuek^AITI?=E3b@$DKZW408$E-+m=QL{=~>Mi)bA+zJzVd~+T8ieKfS2Ni$v>tL@?*Sb zBcJB_*L;3c1oLIrM~Aq0*nN7R5-YA_U6{d70>IlBpz)5~2p^F*%MXr=)3h#Fopa#4 zd>q!V{e|8;>|xr6ZA#z%E>1gU2I67IZ(&?EcLvOheK!RDqS^tfE05NwXI8u>^&1?8 zIC-1llhAKV32uwe$Gq@q=dll)j&F%)et>w?r;^yW)w2b}|Dg8>yD<`VBI5Gm++jQE z?_Z*a-zw*??lgd2-JsuN`GH}0k7ga{{>)Ehpm}+|Itt_B6EQATW-M>h^S~uE zU(vUS=gl|MartQoxUSq6TvRBv*m2fag4-s)pniC4bW7hfY(CJslYKIRv+CUnI4*-z z$v@&Y&Oy2CeMiSdTxG=1)7=FZo<%Ufd_s5PjdH?AX3b6K*R=8A%;O=rc=lno^I`sl zkss|-AN47peqIg##{tlbCSU*lo-sS-ONZ1TAO9@Si$PT;!6(lf#K~$E1Ly4@M>uZI ze*ImjY))|Iv26tOKhu4T6?lyE$Ryny3ZB{>KGO35xGwa|0LSf??1)oN_N6$NK1l}u zaS`yb}~y6{&;>Qg*d>HlHMX@0n$ zh%mbEv0jZaUbf`(Xx}t@;Ys_L9v2R-mi*bvaTZ>U;%T`6+*Sz1KFssi!@QWf^n10+ zP$b6bO{PvXUoYvrwz8mb^@tVl&zX#Vbzm9z$jFlvXa6cR-k#+s4>uz>JH33>8slZ%?}FRVBj9{x ze(Y;vPAq&>OpP^8&+^=&eRJ6>aF#S5aq`;tXdb@}CI1hl$p63z#3K*g05^NzZA$qc DXAHYW literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/25.npy b/MP_Data/pose1/16/25.npy new file mode 100644 index 0000000000000000000000000000000000000000..25c433f3b128b266d49f5034e235fb0878daa349 GIT binary patch literal 13424 zcmeI2_kYhx+xCaBtF9Vtl~JRu7G21=M2XI_VU-LLEeKJPAju#JHd>-2B;*ssMqf5q z78$*l6+~GKS$(`6ElYd$@6mf;9yX25aP#w@ zJR-=gHFxtE+0v~(cN-ZPG$m-*1mD0QKYz$Rw3B>cpkJ@E$|7>u-E@;=a>Y|;`rFK^6?mgRX zYR^Htd{GPSP8_uh9Z2o|2heUlxlw$H)XwMKM*mLGFW0P(?ppR*hV=`ib|?PfUCZUo z85qCvi@l8YHM!5n+@bM5e()!B?;2&J{XDhHEv*s1936SfwzK!U?%8&IGS`3H)yLqA zV&Ee^YoEsR>pmmDqR*P!wp|zd0deZnJ|}EDkDzw;s@F5yE|4yl*w{5#Rxcw&nuT&r7=DR+_Ppm2M z*0zh|3eV|B9`Kb#Uca?^zQ^ybZPyDc;(2j&=nc#Dr+gTv&J+BvZD&_+P~3A$!AJd* zf#;p-O_4umY;ojW6p4k8IWX;^^)V@7cwRnliRYX%v*2U=x>En=YG8aO`W4OF_Sblx z-~SiS>lJ~B-zi>!;{WmOBkRlWox%9caIbYXK2b1us^zRqP4ap12<_rl>s08cJ`c68 zDk25X%W0>r?bWK{dF8eQ?b_K8XE{^#YuQ)1s1Kf3#>p#k{%7fl zcfiws`nO%qzasxUJg=Lt$}4jI=c8NGI!i8f)wZh}^Qr&U^;~SbSsQH7uh-uX(SCC& zJ>R1&+GXK!w9a;H#q;7?C(7&XLueO+GFRK@h5Pg8_IWvQFxC(I>JHj<=EUO}Ih=Xi zLc3Vh1a+&<_D6l2pw>%myK<=lF1i<|I;fbHV!8IO2rirN0e89w#aZsuxbR(aH$ zlf5p{a^qDVdS`qf>WH^1iuqC9ijcor4ZTP_1bNuY&{fY7 zcRxD8Gl%oJSD{y@1?^9n6Jik0oD1YLD)5Tcu{VPkS#Iv7g6rAEE?KUtCx?NbX-4sU zorXN{mz^;#eUCV+nhh?u|FIbQ8}6h(^&Z@*xMjZO>RwB5RlYUWy=i-HuI2KX2kG;K zfjeoZpyyhE>x&n`#ebVEuzIckLp~91s3()Ki~O^5^<}n#^SSB4@P9?~r8i2<3yZAi zfERd*@yf9Q;HGv&yybjnXR52r&B%|MTG{c;;ZEPT$g^nP1pAJ9+^Uz=t0kKF*T{6cN`>&xdT{>&2Kta=jSG4B#* z+IVEW>4?X4nt*jDi}Y%beqXkMURK^nK4I?DtloLl6?u~>GvT9u_fLV((G%e8X=iZm zl|A2b-ih+5*S|;oi|DbaH|hNv{W?1aQT=?Vv()zM{FMjuE=zs@XM+N$-dg_(J#V%X zTtDfu#OlSvpTNbGqNpEs#CM+M<{w&*I)7EF!#f30S7z!~=vBUsREL*Eq}8+Poxn|} za;Pg&HGYKUyaL6k4V?!n;WXB%{O&&V>_ZgB#X7%SYxTO(Q_9b|49tu6p6+eAy5EiB zjBv+#mk|Ns=y%gtisyD6+E32OWtKb9zTi6HD*RQw!Eu)JgIzH%sxj$J!z>^8r{1J^ z#%uVifq4+8sW}aLKI8-H+@$@B@j5OwiO=;yoU)DQbof6}h+lM^dD+wU7o4!vzM8#b zD4tiXpm$dMiuGu+ixMw=9bAd#U9FFpUk+TP#Usx;++~2}s!BTiRmt(-szkxf)?cq# z0lgYHnbvQ&vb66lJx2U-95{c`iTKRH#9fxdNA`{xX8m=mDa7;71n1*ljz>K0KT~~n z$wnUZ1$W}nlz%a23iW$x9_otir+b-R_6&MivjdH{%_YiP-vIJyJppyag2#Z%3J0;T zvc}<~ZNL2XA@s{jxsgvn9b(7JU#%nk$vnujdeC_`;y;o>`T2ep@@e>vAn0pFl2639 zl;^xDv6ed@-($QoKzD2j|cJA^zqq_J2`tHMlrXpYp#lX|C1FdAa98 zy#>gFEYlO~PQ9jiSF096FJ70#xI{q(AM;`*<=Htj-TJ6+Lcm$O0C4v9mq5$Sd0M}$ zR|EK)uNJJbT)$7Jcq%u8UV4~WmWzuwh@a))ykt<_Fqt#={f>0Iddf%+B4 zv3^x(Hr!KYw8aOdO=`0IT8F^~KnaZw|h;u+l-dXr84I-R?N zi;qv|!l(Ck^s8=+Bz@KsWw{!a1}@Ks6Hlu<$8u*E!eCFuGk20-pL#1om#sLKD^5W z`1AKygKa$gc?|XYfZ{Y>zfQMY|3Ueeu9x8>hR%!y-$wJU7G5G=QDR=?v5OSv%5-pD zBOZEQqb#`IpNf4+hb%?EqVG|v|06AEe_J7^Sbq^ZfPCgxC!f337g}y^+@f`%!!tdt z?z>Gh>?QCR&pwZSRnd7kUv%h4^s6uSp!I&cUWE0LW2s-!pc~FX)pCfhjZ@{n zO7ZXf4tX$NCPZ2;k9ojft~-Tu)?~*Gg#Pu{@E79)iNE-6Jh)pR#WU?-uKzgHm5!u& zRE6#!pECcRRTjJS4@DsG&)rM;r7u%ABJc}bc z5vT534D)V|-Ct+6tz@c@d)BV~*A*Z!lSci!~}mno@}5dY!c;Cgx^`0L$MabBy`I>-YP85IAXo1xan zOr&+;EDxo64zHI0pM_J=uXvn^_t$D}`EBU8T}#T(t@-fbQH{oem)Qa?h82d7DKuq` z^)W4mqhEFHPt>hxHFlZR8^7FoOX*s-LGYLF z_hTOuoyG*%)`Ql?Mf$MS?F)nAOEA(tH?MqJD zDsa7hMZAqi{IrksEw^DGa9o1t+J3o5cjQ5oEll~#!%&}m&m)>Ia~_73NBo}2G>Ux4F-1&2A545fy?B!xWBP4Kax+lA2_Sozqj=_ras~k zKRv)bL^|buww$}t`ws}b3vrgKCCloU6=v?;2am; z%P}sI<%7Cn19mR8af;|aiI<*0^ZP?Md{lAbrs*TP7fsA2pL|q5&YDh`N7eNo>?h8r zl9cC|NN{#1&m0>ki^;8%d4}p?+PxvRU;ZE;Z#2JjMsTq zV4dZ%M;7Uy3_$&>4z5wwhp+nsT=k0tmyH(BwOr0V1MY;KApP=X$Pe#K_d~I+0>-7D z?0{Z<*g-x$Qozk2uNm-}Mdyo-A5K0eR)Mpu8Khr74BR};7iRV9Fx{(lR$p*7{VF(1 zstY}@`<(8j!K-mk(-C!%XOm|Y&2LPTsh&3e)^Vi2?@9T*6pHiLspCgH`CH_le>=S! z;{4)C@$7C&eE5)_*2htF|6zqYQ9QA}Ay)7FSReh0F>c__4@VYRy}3{CM`S>8_{dMC zaDOnt6c1}%8S^D4cfx&GZ~lUQ&5##})0FPG+WLzxhrwCb+2Bs`;n*i-p*P@8KKeXC zjPD$ec=pW!*Dg=5+cwSPx&bI*e=9eWe$Npm&&5KMsfpzDkNSfbMouQYV??ca9x_7ibX7ff`7fFWn zZfnr5b1@I;i$qb~F5EU9`lKl6b?MLGy!$Y3%caL1it}L{;$&q#5GVV}ADjpD#W})G zbi(Ia`c@|Sw4rm5SF9W6Y2(>Zllm>!6h5-(oJp2D@Hqf~vUBUc`)trqMr39&sm;1T%PX@?zr8c@iv^c)^hFD96qewb?D`>r4ubz z8z+oNpbNhN{2`uxgS7ShLZme(EJNV>n7CsbGB zK7H@P&bv~-7a}`ay-sR_IQ7-5w7!ls!}}(4f$nc?^=#zdydHt`MXNOU^Is-G?;IR} zb;@edzN*TXhF)Zj#JunakDzC@Xdd~#jjL_HPS?}mq7c3R6@Myl799(&YSH%nCs{R^T3@>d-!^AC3kW?Y8?_f4;3A_8+$O1Le7G zy;X>_RNMQuT`stf`Vp7IasH~=U7#1wyb!>Ew-Frj3%Fi zh2Y|=H`6Sa)gObi;ckdupZSQo)i)>}8Q7NAMaX{Khxw8U@OJ_mfIBa5%s@QTJSZO4 z7hG;|kF?yG69F!wW}sj8`+}v=ANYuVojVn2KR;g?`j0G;P1H;dfqA@jd!I>qUFZ*Gx@J-Mf*v}#`YO@ywL&RvQQ1$-;(;H{^e6Y zaMR~3@$NnFIf-!J0M2%{1!w7h<6KssP7^;knRuf`Gp)afTnH|99Rufs4n(0}pRM4s z#2IiEbcgCN^Bcr(qI%Lk{7uW6*)K<7e{o+P`N?4FlJ8eb!peCP%|Z z@7sIDKCi-0&BLo3&Aa*i1nQRc45V}X^cISz_7?a!NvG*^fbN^X`PT!8PhX7v+zeSn z{x1K;{vbyjm}C7}g*K$mSOd<=c{?^9r#+2JZ5o7lcz2IMmUH)hG~USZ;PQ3xAnPL^ zCV-29oipwKdepEK`zpqgzZzT&^KSarjD(MOB>HulPX!kjJSJN`Z&DvVY}0m{mv{al zmYcd%KfGoZ&Smy8a0m2jV&J2;eS>u>@}yzB&L@9xU9=ClxzrK)VF%w(zb~(n|K`Go zpS`$A+$|Ga*D=!i3!kxwNA3QA^=^)3DfIh{>cKhw3VAkFrlPLI;T`Z1KSm-y&Pn>b zQS|-|TwNs}^;dL6hV`#;0h|>namo71e2u2zb(})Ky1py=WjE8X?)cGzy8erqiG9E+y$UXEH~ee{f#;CjgtaP_G) z#$`$!05|*Af;*S?VZE?^5#)2FG4iZe|BZV)Yx;A^!KG^DY##C@;D}7$X-p-1*dT}tBcoMBsS@_6g%h_55uGU0hezohg!W9m%zm!A8_t>9eLnopM$e`tLYy5+gCwW&(mD74?ATy(LRt|Gu<+0 zK4VpzP2dA;d>{;jV$Qc_*e_pKse$ODyO4 zB;qko$K$+^SBi&Z8b$**ya>&oxpFG|Ir9{7wUYtV1mWN_})h4SFtZW(-H>HB?NkM@7r zZ(MSQ_3uXKh0|#?d~~zM(=1m9>3ne(--3@b=H^c8xY(96SRpy%DAmRTQXdKtPGEpLK#!N+y_)#}-z zQPAta#*~LjS8(p=e7WaZ`bosE7G@^G=MUQFO=tQ(NX1`IhR>Egx%p{~eN2Vr-(b1% ztVa95-|>`(zn*Qj+}ZGy@*EmZ`{aMuuLpm52VAZ^iTW35{o%t36(N1Ak;dx8>1J48 zrcYzUFCI?BxSS@7R%Fpngok_C%|f2~krN^e>=l+cA*6P&8$H3X>|qjC2ltWXQ7M1b;Ebj=(p!faFsX~^Ul)QFP57Qb-|tC zbZ=K3qp*+3j)y3o>z#1!n0t>^Mvh*og*4tiuaSSXITrT~rvsgjd{h(Y#R7Mn3*w`K zzrHw<>b8VH{@Eqk=bb}Ekbk!A4E8;t)m+Zb*^`H!8+0n zY2J02uh6fa^*Ssgr(ZcZ0sZRCdfau54=YQ8gJJHI2Twgy61~b+9#R&6vVFvcv8P!cTrcO^dvv) zBOcOyjJ2T8=gpzss9R@F?*34fekZ`jyy;`(alGh#w~jxAI?)@SVO@wL72wb2KZidH zXfo64`MX=h=WRoNSe0tM(C^La;3{M|=GVMn%c1{F>(T6AhW(HY*t*biws8gYBDDnO zUA$j}bKJCQk36Wb-0!KwYGEDemAU&;%D2dm^Xfof>!VU!p=Umv>Un?bDK;K?q%Zl* zHncC5*o)6GSgo?eE7JGW%B68Lt5;dGi6>^k-*hfS`_*fz6W(tW;?yl(`Xl~&afn~9 z$fj}mJ)UhjpFTd8?BFg{vYVgsYr0vC?(Kxr_N}^ zZ${-u{K|V-WQOG>qQF_X!<4s+I>B;TDuwh7v%$5OYb^BLCxVOXezgCrc3%Vj!*Fo! zHk|6`W|!WcIX-3ty^m8SlnC5Y=x_Cdd9en-kfl{GUwZNG=xfr}rf zQy$z8O3PVG`rWBmOy7sMjMY24>G$OI$8kD<@s&ApwEQ6Cp`e?K$p9QH>(%NtyWcw^sFkzH{= zaK0T3Zj$n>&#*oh_tE+HM>M!ouj>}eb%&LxdpsUFz(f%1lzb|LUyFRr2>flKm zt=_axgg<-U@sZ`S{N5dwvx4+}vpQUs;v8`#-Et?ODAuQ5cLM&bT>!V-! nJR4m7RuOs7w+dok6UlwxFTF-ker{yYxm(Af_)Asak@5ckBlzbv literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/26.npy b/MP_Data/pose1/16/26.npy new file mode 100644 index 0000000000000000000000000000000000000000..e6117a60160971080377e57024c47a5e1867af2c GIT binary patch literal 13424 zcmeI2_g_~x*#1*z-J`BLN~{BCofT_UVpZI$f{HT;Qb0uoCyGP?CvHVWi$RNffV);D z)~$8mKyh)LV69R|wOYqRuAA>a@cs39_~rBZymOr^ckbLt&N+ORboc7k)B7_vo=tZ3 z8y4yt;@X0{w)AiAT93Q>j|v$Z;uAb%REXa&%RPKXgbvH$p#eUlhvj^))u>ss#`S8~ zOjz&+=a2cA#I=e*=cDVAUOlx@H3rz_Ad`@c%F-&OSq4{f`gMD6S~ zduX|-_KDgv$D>_^QoHllK(x!eUtWW50kxZ8YF81S_bnHtI-*@Xs!i9=r*;u@=bmk6 ztEZ#gQ8m#nR#Lm(FcR&u_aU_NL9S>wI@dqt4#l@S>ALmdi@v^|lJn{0#_!C#e-}J1 z9OE}G1FzV2{R>?$i{7RDym@pBy1H)nZM#XOb{5kD@#}x1ZrgUFlJD7eb(Y$NNBU#S zb>#){(P7ok*mk|+BjtDavOBh2d>Bl5DpB#IZI?5sU3}>J)V4d_4n4D1aOPjOT|``@>kjOBWxvba{EX9X}$vtY{`dp#E~5x2SP4Iigm zNnEd9cp*Qg^!LcS%zl5v`pVSNnfB8xOvLq0KsSo}+y{-$YV%)4ke z6>*q$FK|7p7K`}hk#BIlDD^hWUdL}xxQNiai|{8&~BPGSr4B1 z+eBRFy$;vw4pTqid(Sb{E?9X{b&UZFwEyg2CzPn=EojmiX|3`K6+ID^TJ@oqF+DEos zO^U^L6I2oHY=tZ8kWC+R744@zD6bEWqFwl$Nw#sxdi$TE{p=v*k$XL&_OgapS|HLj`UoD_6C)SyO*K-i_8SeWsi#B&gBE(+G7^-C5K+XI+4khXrH;b zZ54cam4jXt4n-Y^z$)u3SAK=a-&aE~yw1a)O?n6)bvS|c19NVX)$`LmF%GBB8E`o* zV6?l9=hw{W_QzPxo3tUH!>}$-jcjxRfBvP4ysf=J6--TZ;q0r+9#ylCD%gjT1XqE@qVg z=WcNnPsWCD_Z%+wO{Dx(8|~Qdj#&deJN_N@TW39d^!|1eY`b{Uk@D7LGJJH4xCHR% zWXHZ?K-{+#< z#LXmdXZ~)g!!*x@Rxf>Lf%E1iP(RN8!KgR2?IQW_tw#J!1=N)(u!VS$4&d_ZR#EUN z)Q)(oFHu+8bFHuCs>9#lVlqel$Pd@CPEE^u;JV9fjLYfwX|2_>%q--APdbcwQF58E zTqkxS{go!PKeVhe6}(mexT#l<_LGNxOD*SB1`!`~o$~g_fW^?4>xg`+E485KU4Qbj zTpqa&y)1W>_LKRAX+Jp>3cYy$4t36bV=!J7_cih8wuqBg=sd~#7-uTt7sn=Dakp^{ zD7e&qI^BMPzjM9?jqCn6tap=Gg!rQC;9}R@w$?|LDF@C&S0K-9L6g3gi$Xi8PUegT z7i;U`JW;imQvBD)VO-{F#YI*xU5|n*vkY97^#a##y}_9u-CxLaMSP&&G6vjCpnXO* zj2vk>yY?UYRW0rz56;u#!@-MD{`raV@E7yuqOQb%4CIGhdJ4U1{TJ_P0S;@Zt&*56r@Lj6{$LH&;TD$G5Hs{skn^K?de-gIgj^b-z|{$m94 zX%e1?LSKA3xHIERaJeA=V$1oZe=%O?<6*1|=Igx}K4p%9i@3MoGPWS?+q>f^Z`;42 z`hT`+rq%OObT06t^C|xyhd|GQXx_!!dC>E!aX(qTJ{b-l^JyjdtUMcLxtTZ)T%`{O zSHJfkWw~gR49@E`g1_FpBF=I-eGzx5L&-%SHujfcaG(yeSTm` z=w*Sus6+MVTkPo>UL}I?;UP-@d~=M=x4cLY!=1 zB-OLO#Ca!slfUv0Cja;w6X3sgHuZah;uKkj!z@?RDF05~Yw&TN$1Jj3dQ64h7heuHVdb=C;H#6XQDB>yG2YMb<13o&` z1@pp}-lTOgX3AxE8^?{N;r7#Pu0%fLhSNG~RYY1Jv%(u(6bYww+Rh*OWYfmN-wEy=0A~T`(J!lC4f8H`y(Rw>U9sNz*s9piod*5E<*AN1 z2i5*a9~-CId>QeZGWC!LcIQJB#<7^5uUL`O*D#(Q-UIEYvo}Ba&l?HOXZ4F7nCB9*Ik_{iZFYyfsOpbK&hj3#|_?O8%zDN}890eM2p0 zi@hlRyN2Sty`-u2VG)Mn@t#8Z!JBBm9bO3W=;B|3tL&G4R`2v_4bF%Dia4E+m|)9w zLt5{waXQAuhMq*8O}!+F^IUPNpXb5zZ9LBWRB$$W6y;~eiAms3X#F~q0-@(YwY2p& zZRlKZid?1mWAkCXh_|lf|92qb(G~A(g-=6&n%{zbz)kfQW2}!J-W}X=ZA|_}`e1%# zq$~2^95{%0M1#M>tdGgg-4FLoru@e=T7h_Ggi`!%)9`%lxOi-bzDP65+s9etv*qM) z%bmfSsNa-gs}XSD^hc^wcWo$NG>y&o_uijvcic`UfKskEn0pufpO2EN9mWV4o48(eQUR zl~|r){U6n*afM05&##9?SS~Z?!(U7Yr977$u*CYP(7A|*t$vDrwadXSmYaPCz(t*B z;Jjz;y4J_pH5&e=_95(J>h+rOmWxxT;ja($L!MQgbBnAGzk7}1*-{SePSt%AEf;Q; z!JS=~FfQrx0qeqaK8k)-&7X-MU$z|jL;J|5^LFe5YHyvHwqLcp3-TbZ7lXg4mptC; zozO?{k>{=T)B2l=b!nUn9^gJiUG>^vIX@LhJ{#_k&!OIama|As`O)r}7j0Z{ zF7WSYAJ%1QT_~^jILGx_I;X^t{-`T4?AIkW9@+T@#;Yohfe+ui5I$m7I`KS@5s$8N z20qN=H;R8+N6e!*l0DDHBcn<|FLurV=i>Bq@L;MFlYS4J`3=GT#m$K+kLxon*U6{J z|MwH%&f^Ejk6BIkhvxH&G_KzY;#|`~^qeJq*Mjq~HNuL;hzsM~t^UFS z=ygAVe6o0YzGHv;(70AqLjFa*`X1=_WGiqZn^GO_{QgJlqn|7yy`twny`}X;s~78P z)BM({jW~JfVhf<3K+hv4tt5PS+8x~2nLN2Zvs^G=PDW~=^>J>#r#MH``$nGN`LpG` zmjM?+k%(V)@{NVQ$8&JUuP2S`ba(8ZruQ^(6Z;p=FEhFk>W8iDjQSDdXHtF6bV1%s z`*z@ZVl8mlkzriM`w7KU$Bp!rW3f;2It9R0X}bU6@dL50)pD8_?r|FHPJ6jyesxt3 z(jU*HdMM}D(Z(;{tw-Kihr7`8nC|e`ZlA!-h#54GHz$Q*yr-uVfA6tZN+)Y6LaG%d=Yy6_8$BV-;4DqLtj9jbAO&- zeOSr6@Rx7Gz-5;iqivj~e;CDIxgX|HF4~0nna>(<>E=RtYg=ix)$=-2z?pA9%KvKz z?*U}RUBm}&qdfSG(N-@DxsiXwHtc)m^8q6)caG=&KjHW!aP|Hq)kF9q#OY+vbERB2 z5A(}s_W;+MHbKv-$B(r>I@JYS-J<`CnARWqqu;0x$b+iSsGirKpXP4$Tf2j^=yV$I zn+!bgk?rEzT;fOYEpbPC+Km&bgW=QJ-)|3~23KX)EKKk~EfSMNMY{BwH# z6|PIcd0E=u%;9ACh=i?p-jNe%e=upjR43CWuCYF%*+1~%cc)Rm-}OQ~ta=x4^_4jPN6Pc#mT`!4&i4=Pb^72V)Rj0JhVxfc@qnJ+??~}q3yigTRrCV% z>|K{D_By_I)kb_~B|&eh(0fR^J$nLp*9YJ_VGYHZ)M$$3=4~1H@VT?W<%6{8mWwmp z!OdY8a53`y0_gvUBLB1V!Fe~=3D6J9B>&*rh@ZQZL*0s36c2ZGr}grCb=hYqIk_vh6DJ4g6(bsm=JFkxcq=1>o;|`##Qclk2b6w#0s-YmdNs5vhUb zS2eGNeT+{VgZfv>m-yg|;4CXVCMCy5luZN|f3*SEuWRDILQFkF@$Z;GJoU41tJje+ z;Lfho;A&oWH29^h*eNh59iTDFH?H)5zCK4?gS^^MC=l@}UVA0W$@bB0hdiG}mxC-y1tzQ376nZsfFyfIeQwLbi zmi$d1#|uURl2ocYWS zwR(|Mk9^+mM4p|nGpKV}v>@t-U%E}_^4g$et2c?W;Um}=$g?h)hVklus2=29PvXbM zlX2CSHVr=q7w0+2|zqXeWdk%_NW4HPxas&dyPD^wi|I@ z>Wtq3AN_0w@}~dU8J3b0r}K6XIQJwU)nH77UUwOOV(G_STi1<#Ud!rS>@2L z{B|qW9rHN|y^}r;dDebMy{(T3TtoWde(2W;%vfxFWT9Wd*~uI5Q7@Kg%XJr8N21hR z8gEgJ`cXl-zcWZ(O8oP#G_Gjsmn~Tj&Y#r4df~&uXV*iQYpdW`VP1H=$?Q zbpmX^JSiPq>G$By!hZd1{H*I$(w9FAu6FzOw|dqq6x_6YfIN$CYnDUru?AdxJVpL> zs?hzwuMyy~V;cD{JD{vyZ|+Y%&9lJey;UNZYY4XjmanQe*46eH50e2=o zn`yb|IG*&&H)6dzN3*b>sDDR-JD>W3%f02HS9%yYlU2c0t*pKh8Vn$}w;~y$-mZo;3+^K20V6YTo3(H4%B>Bc6hb4hdK`e~Q1 z;JY0B>~M}hk9k7=Ck^GZ)Qm6CUcDVSFWwsK%XlxRc|T9w859YB@obt($??%UX`ff8 zvQzE#!hdLx<*Fy$Z#Z{`;Jj0n&*41@`}Q})V}@tYIoqk=3VR)I7l3}{D|)Z!Fdk;P z&IpBGehQ-fvx(nA^mB&tY?h3|d7-^4;hd6g^t%`Nl|tTlA-Cl=9#Q2b$PlY;vY zU27`zs!cEQIXSYU_0grvlh42dl!wG4ILFP#cj%W7osW7D7bnJBz3CQD@o(ykJgD|= zOX0(s!ACUmqB;zTS(9S@d(e5oPY1zA-u1%z67TY3U5MW@$S30VPU|CgdQzM%i%|T} zeLGkmzGx@;_uYhin#XT(F00l35sy4{3O@39=wj=`zn=rWQ5B(Qv*MQ`p0Z!kxmK(> z;xrA~?y`C|n)VG9-57ab$?tLQIH5zyhyOu&*qFV_`Zyb@e%S4p+*3Rh z?i1LAKnJ>7a}cL^@eSfs$H&sRhHr>X$?;JQekEQmmHPcV($8|X`xg9JLTQXw9Q4Hf zgS*_{P@9eYh#o26|cF2VAu9USZqC=1Ih7mLPs%9DLM?+&VX1XujM#OtE@1 zBnIPUPX)O1Vox}@ZwT@E-;@5$zY6`E6!<%{D^MN2+PDgQ7u637+yl->jSaJ$m)%W1 zFQGIuV@Kz<^&wdyUE=S*>{cuoya4~x!`FH#@1OD5egR7VH ze`J-KH_37*t`_Ni@*{o~6@`6FmY{P)#&@Q3=Z~7xQmp=`xfEyG8{}W_+lc*N5BCGt zotr_go{YqOn$v$e{N=Whs9RAZKl0DlcLFy}N+SRIVHE9qUI*agY}y6Rp05@*PWJL4 z^t|+Us0TfJ|5nRQ_-N>58ohs3FJ?`(oHxn6Z@;z~>s=0>hK5)@*HuNg&5c%h6g#7TW3x>ld=@hurlAeQ9yUzz%Zep*Ke?xc{bP zF6VDW{?YfS-m+^9vp(Vw-H++XnZ(a+pt_C7oyR8hI{~$DTyMm4`Qk%+9nUy{I?-*9 zV_lf;72wa}vf-o4zn^UN;^1v?eq|@}qmINQe$%2VxUTDm`DI>(ms!2uP3uu4F2}wk zYn{dW4VAeJdg=8A=3TgU!2bv34%#2Y#}LemDw_LT(C;4ke?{-jScsb^;=fcD@yn_; z5RVz)7HY>MYti$Rd37J_f=$@qZ#kFcpl843{-3&D=em{)mq>6urf9S>N1`mb>BCn-}sc`ar3~w&3spbi{;Cp*Uy)rPR!LZSTDL^f6Sw~J!g~kXK#Lh zUi;3XeW3QZV9QMwor8RJLB!8f6QfdcINwIkk9_|L+E3CmR)ANc=K`ZMiR%W7!1s-$ zJbV!dE?xV^TP}-BaQ566^fP#F%Z2A_(r4YrIVdZ5_p@AH zX@vNhc}SeM9}6Ewzq?kwOTfn|cmR15j}`P%)9>Q+#R1E#p0%ii{P4a%pgzs14%koR zZGZBgL%*w3&$eK`Od*;txuh`FbA!Fn)`z!xi8%Qw7jRYX%oO-1(|aM=qXf8|H+P)n zP9C}+p?yhI8%Fx+vvGgI^Le3Pb?Wld(QPHE`Ed6vvwXhCrpQ*vMkqyRg&d8vMc;mudm?GLi~4G&cDBhbuN-_ z!QWJ0q2V)V4vp*MX87yIv$k3;@|8xvylo2ndB&V%_@vW&6Q)+f-+43@{TF;_3laeX~B0Qo(kQNPmxlF^1tOraC4;&t>-1b xz(>Vy--0-2M1b=Pe}bEQL5Pz%^m}6Qrak2$Pa?SLk{5Yk5tM&^J~%n$e*lCu?`;48 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/27.npy b/MP_Data/pose1/16/27.npy new file mode 100644 index 0000000000000000000000000000000000000000..75e19da94485c17f70641d8dd285cc0a0593d127 GIT binary patch literal 13424 zcmeI2_kWH_*!G9jR$o?U4HmJ>>YdH#y{sN}LZW7sL{Gwm5JX9$M9(C87oEjD`f961 zv@D~o-dA~6@MMnDU-16=K7P4B_jiu#m~+lKr(CzpZQHp`d!KY{Gz%{4=O5HBuxuS( zwqE~QWy|xj{f7mP4D=n^XIP-0zvE4P1A_e1c+f!K;r?mgy(-tJQKfvj@;sFPzy8b0 z7}NiKf6qJZ)9yWc&3&><$N%x9eTa)+UbyeF*CMownAgefyXhHu-?ghSYUlaV-*;R; zNu~Cp)Gk7(-MsCEcG0206{q7#Gw{3|^R@k0$GeW(!A;OEe7w=l=2N@fmU0Kr6`F{4 zS-2jx$9?U;d;r=-=|9kJ^3_MXSw-#I?-uo+G4ZPNF{Nr=^|*K^QM*XFb=z_2H38%2 zd&VZYcD3$nd*B_6U(fg_#p&$D=67AYNc!4;-#Un2q=f(N+D-FgcU-$YOYLULjYr_W zM3YZ^#ZzeC^O^D+9(mKXizR*(=k$^%T)Ua^wS7^GXRckhJpJ5#nxzNPF7FO{3@*20 zT%yiw_}PDES@%5Krk=WX8GH-R*`N#m;`!dEZn$z6Ca1Yb?x$b zJf4$hR>PN%?)c8>mHYwzW_TE$m-#j$Z{}GRj8g{v&wKa0Eu96=vy~(9DI#m&d09In z@*}r*qr4Z|bKUvsQvna$r)}~S&zo1h>G>{yVf_5j&bO|eO)YfO`Rh})Xx_&*LmZ;W zb3AX(T|xY!k-+mhU+P2moXU0y0HzmvAd67E-?P^rZM91Z)lRvso<GC?W?en_^v#0=|$Ri_Oc7rQ9!yR*KUhM<9YG!=Wkp)&#)KcX4}W#ckOcS zLh3)NDB8uWC#WY`v@4$1`#o6?x(?- z|C!<5X+FBdCFq5J!({iJT`m~u^!(d1;3nUQ%Z{tj?`Ao!t0#c-gxnXQuiGfZadoB& z#q(h;=10u(!?@U6;$p{LaGN1Z6nxTEhMph&4_u#rG~IDowg$LtQw{T^ugYnT^Kx~- zjT}w9?0^}Lv(NRxRp*n$4?dgexX35K?Uv%Vyq&IhBt~Irt_p2He)zIs+Vx`sUQ?d0RHl7n*sG>a&tndN z^NVf4O`8_K!DqoVa51YM?IL>b` zgI+E_ih0!YzYKT&cJ&o-dwUx__NJppnuSe)^ouS%0u(@ z@s9IDN5T2!rr`48o*B?Tc?BOa<3H5D_?RQq`Lk><(XVRR6ZK;fz2`cvwtl8~-cVi1 z>xWZCRNBmJkaNDnG zIQ*|Q1lLo(M_uutFZ~=BelN(s-49eh$1h`@vhKIR<vxMZc6j`s~7Za zUSucmCs#=S?hyQ$$w2$bi$I#k6CY9Mvd6C&uX$X8c&o;UQ;5}L5$C5+n%|AVN#1V! z1!~N5pR!+nieJ`+o=vKQ^)5bVC4TW5IA42GI3IcJd*c1(AxFK|&V09?HP z6ZzlN^~Q!dy*;oWdU;hL zpN7pE>GZr-7`R9-3~sMhh;f{qdQap1`wv=2rgx0f{Tg+ z$bazcVUF90TfzAc72&T^qZT`^+a`kR%2lCfyB{JCdI;4sn@;Q3u8W)spB?G3&zt$# zp||gkqYl-J59FWi5Z14b-xlojYVH?`XJ|#@|M+0ORQq)BVW}6%r(iFfk18wq3;&7W zBJ*CHJK~#fpx2$7f}3&yw9mZQ0Dm^sm-J=IBYyeAD&iH#fy+BVlU+PQFQ#~YS_5vY zG@s%)D;!OH!%fmB=Y*cErhP*kYKwUkC$3@rsv~Vt4<=hnnlH9{i?{RdR2Xr}R&;;W z|MtdtC%++oGjb5c8IhjWd-rMR*CbM$qUeM1$lDRhKd*Ed{yJ!8wBvGKDD?WxMR5D3 zFXlyTK1+PlPMY6VtDt8EX&*4BS7BcgH`o~Xe=w+j+oL9(3l;VSfe-HtA9bk|eE5a$ zXkIp6$9V1N375RxIPbp-#pk)g@R6?qu#RNHkY3Kmnr_6OhGN~R0r_#S6@fuC-r%0J z&kIZaR&GoEKKmVd{$8N|#j_v5Mant!tKVLYfPc~l_=|+LSnvG)cMQdE~)lt~AAQ{jN6rdCyZ zj2=42i~o!|;WcO;Mba(g)2!RQ*pucXF3m;1EP5;Y<-WP1(NF0N@V60*D4v8ZL5|x^ zoxsJv2HY-9U&;B{O&)L-5<>do#e5xC>#`so=2wXP`;Vl3PuC}YbuZ#%KHm;?dNG04 zyE%6a<1+6w?K96dBTk)|lji-_yxA@ub@M#MUtu`(vPetppF9(-Q(b2O^tx&pjW{E} zo(qvlh=&EgM1IsQdJnR11|uFF_k5%Cmy`Vwr&!X3;#~H6xbtD2HWdH*O7ItzBzz+*!7;l@TpJhg7q4Y{M!Ov3!PqN4@CU-mt?$O%ULZqJ3X6J9sa8K44U7z z0|Fd3^VfpQ*zE9OCq^xIK4MyL%Kw+YQMaPauz60;^HaTv>y54ZE~*sM?vwrINBJC5 zkK+G0Wd(TVOz^RN3ebMI$SiSOMM~)9j}>WNs?J;LxV%R7#s)0Ql#O*k?rV z$>g7!Bi56qw`D3Iesib~;qTPFTnYVRviA5hrypE@5VmH$DJJQxNP?)`M2tZJhPowQRnPlGW5#ld$jYPQpdpm zha%wi%6W{-ru-e{xXO4K{hD=4!1Gun&m#52w0*^^BItgN?`rf060l zD5qy9?!$-G{#xg!TYEV!UgV_sYwnACZr4kx!X?{*LR##i>rB>(jhs z{SoJa?LzyojkrYo-hVj9b>SF{OAP9Uy5dE)&vo(Gpljgv&QR!e{kiZle_aJv>mDH< z8@(Jp<|F-%V81lQJgVG>W+9#)xuNHG!>OJ-&zuB4km^K^v*5ba{u2OQ~J|lO~{m?AVi*eaG)#yGmn%=WS%2IIEU4}RxJ~IM7c2pngS49Rpu3nD; zS7UpFv)ISbv%7R}vRc+O)44&mtOc;uEYRUVIMu zpBI$RYV{DOZtP3(c#0zbruF1T&PRLExg$+=a9$#|qjwsYv!kfr#*Gk<+17C^^vnzM zE3TIXSGhCKaeC&V_Ytw-JNRg?9bryy-cmfGaxu)8+?lF8+bTx3s>x_Z_#|+f3=!N+;V&6;h0BWGjKfmm0_eG`U%|5>fF?E@jiv( z>=%PL#h;ww%+?oNyzM~eNVFI3?Pk|`_-K6t@u<#ML%dy{KbIt*YgOT6+pofXiEq0I zy_vKD^DFu!bas07=r*k{|KCxEqV-msr>qjisSlrpUV2QZ)APU`(DUS1(6c(v;?eK1 zTkyBz#}e-uhWmq!A4l+>9! z?YDum=ncq&4iC_do5nSW$8N^HC%)(*j_dUF-pcQe2RF^TpdQreD9XcUdavZ!b6|ei zleXZ>tcTua&o|QfuwRRV%ja*wrGC}Tad9J+@|HIp>Q*FYndF_u`P?>?pRCt0UhBUz z!Ex5GDttsb`W>E^zB9scy=*wR`t1XJOui1kIWFzjbHDBlaQ13!3r`y7pFcs*>MtdI zL@esi{89;dP^L3D-=5IW>BSEn!Nt)0;3|GreaF@6T8LA(yMj2?H=$cxzbujNZ#F&M zXLuezoGMCOh&R?0Q3H0h_Q;Oer5cWf}?l0)s zo7PG0Inzk5b)T%;R`Sn4zeAd^cVirvXYPWtJ{s}x=o;7uMDX|UvDxTetp{D51bvOR z;Ho^Q_#@8Eaa>mlC!fFOfSctF;ICKw1I~|@qxc6_N8PIG6p!5L4Q`@_4skxVY(etR zRT*3qdld}ci1J_)IuVbr91dP-0*!ZmD8-*Ye6Hi{-beJS7t{G7eylqb`i?Ehf5t)h zsGNCmzvcTg{Nviiv-jZa$6V{(cOw&_mkF8RFK>Qa3|=#p# zY*T6MV|sTm>YvT*OZ@g3aFK03en%BQtR$ZT-r#0dL%MgZJ_#Mq6 z=1D(rdEP(4aXBR%KDzt<%id|lbw&45k_(Pj{%o&HU&Ao zDP5l8tiFZve5yO@T>YFG^&>O?o#J$QY~Mupsp6)=hkJd8b!z!dj90y&df<6Gg3Ao! z@cynB{|mj!b{YP>XEm%Be(VPEIv2pzsHon~U*sQ%cx2trSns;j9pyM{uz~t5`G=+Uw87Ym~)KWYHRWj9m5EZqulc3>dZi|8E!z06q+c^27A;NEU>JOt-iuRt%` z48lGvUtOj6&3ka0E<5UqpGX2%Cu!aB{SUgiI8Ea~;^GeS%;Mr=J#JhJmV=8j$Ka#Z z`r5XSR>BB$XbaAMv z6_E$UM}gbY3E<);jaS_d0GD+;fXiQ6MK~X}$d7pbqTpOto#MFdL;DHa{v7eJ)WksO z*HE3<^Is@V_Tw1G<)b6;QPoPrhh3w(Qg6=_KSA$VHmb}hr{|lWf}6F=v0fzG4}W{7 z0M?PJMSm|KbMYPCX?m0Bf!=PvjedEP^S?PC<8zvL=tGKg2Ki}r`q;WHn-e367zhZrH+n3If612~YA>r_6zRi`>i}X$5 zqr|HV&ev}1JIHZF9csafby1k1oV1q{qc^o z8bQ$Wjzh42T2KEd$1U##z1=qq=LH-28TG@e&Zcex}GDbx^e;v@5`W?Ov+BJvr9cbk!}{bWpNIP}UXv1!b6myzNBusYMRoFG@N)FKa~Zhwv_u~C$J+B8 zmtU%p&)W`EZ+oW4dD6Izq4Prb7z`ga+z0EOUCT)8Vt^%|E-BmKpS2VD?8t^VbwIbK z&d01z1Q%XwXt3aH4&${ zUT?e8+kLcesFhWb2lg-<>efv2rG9gqrghQj$r2ZjivEN8-8zHncGAQ+=Oef51=mMw zV1E<2uCGEodrHxGw=N-{Ot&^TZi+r9pMgthy*Hb%68aGO`z`z86zX5*?zY--+lTH6 zeDnak&x#VIa6Zb96%eOM48*wj^3@AG&VT$Ka5?lm^}A<-A9&{!^vnOsL-XFZBkm8n zdvRGCbV%%ePwi=w$kPH8nFA`em2tKCBnzLLOANOjVsftC&hYd6Q_qM*pmx z4@;)~R-CwR-FKPqFy*lx zhw9a!S3N^~bhpWB1$X}u5Xk9bsn`uj>%Y#sc?mMycL zUK}WibtGD3q&ojn8S6-d&4j-?mX6kA?qU-?P9M8~`pxfV-$Gy=%HZe6n;WKJ6j6=zkG)%ihpD%3t@PU%B&8Cl?QUa~|_(>m5U# z@JB1LF66QT@G(tZ!bjyk5Dfi|6maQ7zlWQ*<%H{3gmQ4v!VmLnTYthn%88=0V>6i1QNZ%|-fuYA!aHbev_H3?H-U8r56fSy;bv@Fv7* z`_n$mcLxmixOh6xA%5XL#$~R5i+M3gzr#mWI)%F8JwBnH^~f3&=h#T9t3BzaxPEmB zN&O~KotP2x@%|{o-jmPhr-(=8s}=9`s`gUyDL)tUsC-9Ion*~N>!pbgt@j+k>);>T z5PJT23h@i4es|nf^hf->Rc4C+o8{pi$K%7m_35M7&sFTLg^u&@=)FKC-v_swszf`k z5(CJ`ZveQ6?XcW&)~gRVOYoyQ?B~OKe);cxaO*#Gq~p9%58_d|;A7vNpuF`^G~U;bsow=X=R3X0TLk&B;~Szr+1`fO zPfXwb(5r3q|L^MBD*P^_Vrag^sjSe8?{`i?zq?-}PFs#so!2@W0$zmf&nhJs@!E4n zInMgheN6uI6#Jpgcwo5W`XaqIv5d#T<-VLl95-G$5GTvgnBrVnV29)C^b+(dCw+Y% zzqT6hTe5X?_dS@722ErAVhY zYdV25HUaa_o6VRBALsRd|Ng(r03Yxt){maj?6Io@ReAe3_xIq&CpXpQ&=rrsyG$DA zN#lCuYV40Zz6rS9@R-i8B6;ZE(6JNgmz+*;diH!7_HngsGB^)@xWRFG`0M}Q)S85K z%=a9n{d2?{_=|(V4_v>t=E8MOujbT%Kf5*fq2p}e-bBawjW%?ir7KPTEq3jIe)=V> zbJpPs?Pt#)#XBzR&ce84?oIILM}OMlxQOI*-j_ZNe^DvNcJLIsx5@NtXuKyr!`~L^ zj=V{)74T7$&#iHK-Euzql@A-ihZoMZ4gAE<=vVFS3?JEOCj8Zrt{5+i%#Hku;(Lhi zsZ8s6+FJOSDt~Q)&zuF|Y}#vzv+iQ}+ac``4}abq{%k}FI9v5ExF|jWTs>X0&GWye C^XMc1 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/28.npy b/MP_Data/pose1/16/28.npy new file mode 100644 index 0000000000000000000000000000000000000000..7a1f66006e97bff83e539fb9816057bb8a3448c4 GIT binary patch literal 13424 zcmeI2=U>)0)W)N&T3V^2&Z;%;*}A~GNm1MrCsH+vxa*!E5K$Djh>F{&s8w;#x`=!4 zg*)z1>z*k3kn8XlJa3=JH}~iM=K5VZIXM~k4`Z9QZqhs;9UIC*OLPq$6g03zHD01d zw<;yd@)F(p4IDhMbKg$=26hd0yl&?{gMw4}pdOw32d927S)p>}ie*cc;+I89V_o4HB zi+1sf+WBZ|XJtB~owv_=+3Cb8YPVr&{&D_y;hUi*+L><#@}EQPV#(Dzu3e5Df_Aee z9oogxwCDHqLOaX9nc5epN4x!-+U3k!=wIwwpM?Hzjk}uY;vY}#y4dyG@UI&sGib^IoHGxOVll4chf-YBwKmK6acRih+;V zU-g80p6~jC{OTzYH(k5=uLt5}r57G^?P?UYn+U)E&_3e$Gxy2fwLIe5dCO`~+;>sr z5yqwOPlg}MA9CBZ%g+H%(e8Hx&)JD5-nj2NsPPT7ubFnueV6IxQ(l@h{1@#zSH5%Y zX3lavX9AbO*EVkP&b5o=4DiD-bMLLSDmkZHToewyC^)b#&pMXEafD|FKeuS>)OrH^|$c+w5FJM(P}ZC zXZdqJa_!G!T(WvY+o`N0%$_Us(SZ+E4{yLRKXc#zYp3dIqJF8d1YB9N_c+^l;! z)O~92<#^uS3rztJDm4Jl&Ad?o?MF)Dd2@R%wMS>&?6{0*Q51TQws>BypOapsa?^MX z)pPAHZ)&A}7gM4r4=t%(|Fz&L*3dXZEhg0haF4xOz`2~FNIzWPJ};Sd6(8(=@nS-^1#s;=VL}RN!tfb zfr~~x`}sIt;2iYqcKu84yJ{0Y(djuq4sIt7zv#FwGh~Y6vhrf$9zUIPT+W>t=D2BJ z5%K7*E0G5o(jViplZcDz4~VbGHqGhvtnw89n6Kb!&&TnO3y;dgv-@G)iw7^p!M|cP zaM^SMIQwX!Hx+AFaQ>+y?Nh~mEDv6{D!A^J6P$IMjdjIu=R-Wg>nrBbp7N{g`n7%L zL9cG_$2{7w9|k%f9eh8Qht_y0oQqV zPIX+2Tu=HbTZk9wfjVTjqQO;eg8yV@yDyd&4)(dYTv{$ z&_AsWuBR17UGc2vgB<4>o`bXb9QC889m6`cuPx~hO~ANh%NI)!=hyql1DmlI^TMt_ ztmioMtp~mA{X5n>AJaVCaW$tKxNYO#7Cy}`L(g6vguj@Yg8FA_0Q5Q&Lp&<;ON^H#7bKrK^}uE2G9k`~KMh6v@@D7- zpVaTtb8W2q6rF-8&QE_pFLG?adX%|6C{F*Y;I?2ueZ=!H7sd0RMxJGOkH_QQUZAJv8YdH#?t&fhK?1ij2M zj^=mHlfHwG^k(G_ z=y{IOG%sC~2Rc2=A3?lTK5+HZmKewNhxZt-sI?pGf=%x|-T8>q`za4^l8FZhtRvQ9 z9ylvh3Hi~n563w@+fL_#EJ61sGpQc*vRqH{FFFT$)+-zK8M8T@c;IqynVdBgK4XUw zpELxV7Y^(XesCSQdR~F*_RhGuj@xyczEOewJb{nxvx?3g-}K-% zVLI_Ae$d+h>ep6j3$9;f!agHjt)cjn27t329;2K;zqFj4wtZjFTxD?Ebw^(%w?uyYfr-|ZBqJoGul`HMT3NT2UA`G*dRLBFp@f*TLw zVzoc!#aul>`ls8VS4HBWm$BKwdGJc?OKitq!{C#Wi2Ao@s?+}YvFc#QRhL%Ki()0I z-+Z|yJFXum(RlN!^FFEHW$24g_i4K4g^%*@k9A~vd(%EJmhOFKb0pTCX?~v8*Dl&0 zL}D+hllz|s!r#9M`c>gWpx5dIt(PZ7!1a_1)NkoYn0Gt#J^B^DwZMAk?LT2Zx7n#* zcD^y4gOzhh7pI6hgZSl{a>#={8#Tspd*yfdn}sLnydLmJd+3{{hrij_4_uVn^cVT` zf}UU72Y=P36Y5Ge9!Eay?joOh)`q!>ss8LJ-Ji|TjdU)=t()e2R2lMTb^*9rJ_Y-X z$=nkCN=xU6F0!(X^O2skF63|F$iK*3WHx*T_NRU`pSkXI_P2s--KXwU3I2Tb zB>1oe>w3Xw(+cW$Tvqt-oV^!1AC{*R`qiIrpl8THZwIc@*S7Av=u$|-XI>Y| zTe|9qpHK2%>bN?ck@O}fe01kk^YC2xj?l}GzabuxF3)_&`P|-!hrQkdf3`kjAIDj- z47AUj8v}oq{Bc%dDz-Pu(6|-`A$}PY6XCcRKN0?F<`Cpr$7PR&e{?kBkvm?YUtVlS zUGNXvXuO`Ui4RTpyYo?X22eazkJ3Ii{QXeJ?cgKie=vaZyek&xqs@1b;;}i<&hlOg zasFaaUU2#8G{z-=@PVGQz0_~JxisF`O>s`IK5QZViA~rCc+rS)u3vtlKJuXIWTyUy zryt?;X475x2>hi z&f3($y_!#D6i=?J zAN$sGoOfysJ-;4A`m*<0IDfXH1me+`?&2O|uM}G0INwFTM|g+3q%WBv$Z@;q7v#rW zs)>0qBRyiAKO08-u>CoSc(-(PE(g##Xx0Xzu57zCu}-hA(S1PZ{?N;;VesK|FC!0Z z^E1RFE?mcbKrQ))^53H#=287ua*B&b_s9ahY7qr)JG30_xOsj7Tr|8x`nKC~U**>s zeC*7XbY3K#SO)zdIu}^QE*P(U^`aB}JI#R)_kV~wx1QyuC%S%XG(sNi-b>_vc6tZL z%_qu(n)eA@w)#2B`N)N1kZ1cOp7P`S!&1jp8>(lS6omR0rOHP+9~F5T{hAHah_6^W z&T*0PD7biY5nMMJNB5<1Y4^j7r7)}o>;!2@kBTIqXddE>Gwgdeh5%qJy#~k<;_XqjoRQRZ;g)m?2o1WdAkNx8l`B!;| zIAxuh3&3OckUoDjIP+QH|;0o^daJmF9)*N<#k9GurU zfpupVR1bwuSRK*_J%wIedn6n;A&?)s z^v|K^#m+2t{`TQ*==G@x@+okqzZ;jRGMwT+9f)}}SJxnZ^J)R{n)E(F9PpU$^xV)o zvabV>Pk!UV49D%-4bY3EwUmcy-L>N?!HayxZNR?A_Qd1&EECr${<|Z=Rg2Lh5YOBx z;Jjue>1Wp+iGEu(1~+$Blm1+L)QC9bE0c32y8E*gP?n zn|Ggx7h41_yhjkv^Bd(MvK{#cDAbkB*#ca5$V)yGey`(vc&W;WQ?@*hIPIL8_}!#F z(EUw48cXNSfsQy|^iT2R?>UV05zVkpb-u&k@`;QG~# z4iTSEzkhZ2aB#Da_BYjQ6Z9r%CVuaz6xtumc6y)5ev*rvkDUD)K4Q%%=v7Kp+Bc%= zgR97y*soM%T(D27UU<{}O&8b!ZZ8(5ym>0i}Si5w{kK9#sF5;Y3<-U8)W`2nJu_wcDpBKgJK(9X5qw$vX z$9~8k93%ae1{d6OI)29A?vs^R3%!_-_CEamkztOTu-o90FGf7-YyOdri#*xkBh3VG z@!f?;$7M_-aMP$D#ozMyRL51tNch-4r-92^&xbnBlJ1eeUrEHz=XneO_osN2sRgde zufe@t1m%LiNcj!iG`bS%^r9u@!9@9k+kNH7IBxQVLa%d$QJjxP#X|4>5&i0qztFy& zauxlWYxT%q?WTB&WsQMP^jC1!;0^Ia&sC1=3u}lE%>aK^?cH4PapW)h)x>@x8+-XC zx;W#zqhEHVDE2W`WGL$2mhKF$uAK&#_m<&3iO97C+=dEp9rZiiE9M;n=aol*GY{V| z=g$MjlmFOb;G%P(v5u?5f0NJov*6ZyBc00+zo+qLYKMJT)oj++#V<^4==J8Wv>#?{ zwixk0p}Nu?yMgm>+AeXNWr~E4xxD)#o7NIJ>%B3wp9hVHzyA0M^)H6Tjz&Kx(*6$eZ9KRMt*f2CobLg>EEI%z z^pHb9>|7C!37>{zGl`BIFR51@LG zwOY~sv#|laC&~PR^s8>uyyt6;`1$!u#2?)t-r-3{=P&mMqhGx~9mdP5Zc^yiYbEq7 z?j7YhO9<|JHvbxM*>N)Tc0o!=VycgwzKQ%JGJwlJ_e6ltIR>sDrTv|2T*aZzU+tlF zCz|EKJ|l)`T6f>>fZiMkL7vTj{Q{j2doqvmHa{5tYS*pl&PP<;0?zqW+ON`0)8HPo zj!dU$8gGWR)0_|QHxvFg#|&_>Y7oZ7wrvL&tN#W!2g0yk#PSeu*~}Yx)&VcEzF3>P z#DBa8z22}8zZ3PKi{PwnMywa%SFoMyR~$JFZvQ?9y}i>Uz{SZM4j`ZBcc{)wM8-M2 zdOa6hd!D2?lVj-K*nK3ph))9Naj%rq+eYn3AM%*|_aDN#HWS0adBhyt(^Q(RTUl_kawpY)A*vsl zCxzl4&IZE&)<)=6Ko;n2U<2G&)xN#p?2;O722#L2vq+oRty zt-<;FC75?p_6*jSy-xFD*LEg8xjX8d6$&K(Z^OXZ+mEy!zffICnFI0Ig|C>4hv_U- z&!@V9vux4b9JkHrTr+tz>Ve(dhxdwXUu{~aabwOoo&2#1t(RV9z*X{mtQWELGuE$e zkai9xBw=0H1$lG0aoHM=5T}}Z7p@4A z^U){M_W6`oXWjF*Z&Yu`MGZP;rLLh?qh+r&!U+G_LRnvB&yq_kcCdKH_ZjN z5e<s#B8Cz56S~qHaZ_M z!=K{W=!y7w(fkdZj}2J|ZuYH2KJAv7IG4rvwv@NX!-&VU8aUng*k7Ybf9PlEO`oV4 z&PPGIPZLt;$M4u9(=lOM!!PR-xGQK zl||?`d?UE|rabmBTQ}o!$64h9=$DP1MfnWAx7u-W?mp?m;;`OLl#U1YzXq;@kI=d1 z?GGQ@;yZ9vue)_R-7*%xv*eGzB2IgF5Z1eho;oWrwVelV1=n}aqF-~aN>|5Kz9i~5 zh5mn9Z zb3VTb&DXy#)Y`Ci6zjr76`N!N;&yg$VInIxc zqw!AL3eK*G5XVKX4dA+E80okB41>?}wEQ#+CjH~0p^j@mPx#x7{lI13%a|`MOVfCt zO(ovv>sa`&e@f$>-Gk;m2U`!HUByU0p5D{)Zjso>bo?&FBgZ$yxx;RKKPoY`U-dYx z{^RMsWWA91eJ`W2NDIy$}G za2{O!d63TW+m!<0bN4p!r*yB=h5NPzKbLm?CUMeV^RMHR>Z9uXL;3Gem)3R0!8jM} zVY=t*!#`5qYK%bq_Ea_avj_L7uC5I23ZHs(ALINnxL~bOx4Oj^=;e|9)bH9ntzA62 z-cj@`x9&%s@XOa|U9`*vy`D|KD`l_pBb}bDxk^5hw;(_K_IA{R8dwlq)#`ybxnBzQ zVZF0IxXCmJ`x1M;67M%md@Q)QloRvLd>i$2{@kM`;xShT(|lF>0qcl=pmoP)7DRsd zqFgNzPk#EnZ_zpN^f1WvYtGWSZ|Xk8xb&w-k&Y|Rp49KG-0|vJ<(m59s&p!Nv1sm>28)3i~8~`y5=3evEk7!A97(&B>YII-Gt-Sl@N16aGFk z){807lIAgR`bvx|hVsc3y^rO6w&HiRPNMs>I_81+#opL4E`GUCVZ40QLF7&E-aFfI z5i+0VaoGcKJ1=*PuuqUiyDKs!9dSudEnAdGO8xA9i&koiANz9_2c!fA*@~ zOy?tNj@KX`Ror>gy7aM7tb-Xobw84;%~QIq=3 zpL?^@i6mzsGHxrr@%94O(Aoc4FO`1~k87%T>&a`gT9&#T=>+y*ghG zb!EQ~ou8QMul?zFy;%DadU+&x9{AsrsNY!)q1UZO;rAMEO80Z-?F+6xw1>ZJUmbc| zsw=oi9Dw_Yh^G6VNT`qTnzt)M-MDlk+Q(#*aBzJ)K|0Qp=>M0Ry!3ug|N0jDgZWyG z=Dop6%)5Gfe4^8<9{%8*(|d2bDSDFQ|Nrm*W(M@+SgaqNe!vsdS?Pcw?*D_E@)J?t zde^qcj@uSbhb6icW%v*E%F0&-mlX@dI&LB)_GNXd5jbB{f3f5C*j4QBs#Y}VPsXi; zK8oHy%Dtm#ze#?B^{D$ifWOV$_MwmS{mfQ4y{u3I{^oj_}*9OPs@~$+lj)&nd ziav$E`b_W5S=)o~VPk(<=JZ0)|Kni|JHv<79fUY}nHI>Wm>)rL>IC?!)4efXU7EiZi$KKkDss}N^4`hBRUWP*=fa0LGL5&b^rAKDT>a1vbn@__cu+LMT% JXuLl0e*hl`^Z5V( literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/29.npy b/MP_Data/pose1/16/29.npy new file mode 100644 index 0000000000000000000000000000000000000000..f0771d4585e59b82c3795c516b43bf683345f83c GIT binary patch literal 13424 zcmeI3`F~DF*#D=hsM_~ZjHQICUF|Z|($K_C?FSLDlZcSbh(zo`Y$ce)R$$YMS|AFtX&*PW-b>8zipSk9mYv#Di^vXKWG+uI@d| zf2d#eX1sa}pC;97@#;R~{3iMh9y@59pZ74!+YcV?KP;R3`wkvIEc@E6-VZ<2uT`TK z59R;A|MD}&c+rw~-LpSc{y(nSPgXJ}(`7%ee0plH`S4%SE*Ga?vDZ4J?S0#B=2N@V zA=f?2P5H;vzKGh@Y-$%C1JTa=<-KZkPCT_ck<_m9bW68fzHESYvxvc;uc3DN>ROs@ z*DXh*T^Ib2;mW>dzvbNDb0pe%gRRtF|0CMX7HW4AZlixWcYCV!5$F3|xA)71)Gn@G zyJI=u7l!fkuI38-cjok8Bpu^7rP6NV{`dN>ZP%$e_vdeh_*ts_+qOGDbfoqR)Xsjr z^T2X*c_HPw=%v&4e&zaz{OU4OZ`pPg?29;6N`JKTz?}A{KW4#qWbzZ}0*{@r_sbjk zAKGhu`w@++Pg(dm&kLs6b{$>iG1{Blzc$cIKyWpHnfOe7|k|FWPrz8QadqdEC$D*P{Mkj>I_iv+%dJT^B4&{SKNypYdgJ zzZ!EN@rf2O$h-RQKJ|Zh*L~|RW?#hp?0_%sQ=87x_>-2uLjTpL-?si@n-At)9}UL5 znQm<}(O$0S8{4kB{e=5vg-_tlujep+=iaAvwq5T!;&1h8K@Ezd&qK;j(_9-Z7k9Qy zvY*b=4Rrs((I3F0gM9G$nNNNDseX5(`nfOB&T~)Lh5MQht!h8{#avy`EE> z;tqZPvQ_pqTN8%+^{ctLME0ff+J`#QOFpL9cC|Vh_p^V?es0^vikG-w9nQFG+npw} zssAYj(9RY#xs86`j=gBx&HW#dR};1y?fR+T0o%?Fetcxxd7F;#cFY=G|qBWlJ*n5I1yYHT)7DP%gIs#%v;JRzsIaaT$p8_{q11?)`ZoHglxky_Lu8I{&fxhXgV9R-C z9g1i7dgOt5Y{j^oT6HN8H`2i6@y-jZUN@}`&b{7K-a`CmgCA%Bt}eJ^-E$s2({gpI zG3osxz?qo`J-gf-Tz_*N+;qsAYxUx4OK=uaAMo1`?Oo=3)eT7j!PS$+^ouJ~y|vkkx-x0MfgAY~xTtm^ z!uG4)32^xXM_q~UA9y3ql!xT+SqAkZ0u0tE+jJUAy@m={sM zT0`q2-~34WjSXqNkGm9Vxp_APoWF9T`W!H3G2%Ja8{7=ILV4@wEP_vZ8{|{Ys|7tv z*wn*v=5`T!r_W*d%N<`LPWjJR==r4gROg3kW4x?ud778CZ7I%!66?sM1kpS`4!Pu> zZL3_~i|wbgiQ?4pt)N$n>ddnJIu-MvUpD9(xGwj)rR6fVIK@+ZHS#P6{@mAcmbjJj z<2#Y~C%4VkUx;YvwU-}_YgIMud#1+`aCvYcxJeuat~>rh{pN{UrIL zq^}*0e6qQBCPLpa6kK)shUP1O=S7yAPOlKZS+Jkh#fJDr@X2!&Tzb4FK0P+ta_8se zG~S>($dAhRJ;tTI=()fq&p{rXtCOMUFNQ(Sb}fe9`F=6-X7&V=zkeLKNQvhTEDpigREY-a`uxFZHPaqhWRqbKf+(%ONWnBuP>gDdiN)A@q8}v zPj}$&oTYwQ?rz{xtf1%G+XU!Yp)uer)*JI^($|8k1CgYUUOU~!qh3({*%y1j%{iY) zj4Kz_zigNV?i{EDz3kH-KITSO%p>pB5_<7nC#r`lUdX2z>e}vZ=QlOyd@>*eoQDVC zc_)`FfDb=S>(05e9_w8li=y}+Q=H~*1m=-#ru~Ekr%*j~T)oi7$yZLHagDkNF8WNH zf%s$S{NuFT4bB1%Krd<*CVjt+*q5BmS(B`ubvlIl7nx15zlpU8{_ua&1$te(D*5-V zg?TZ{uVTFHUD!o;d%s&;nEiC-mWB@(W3Y~#=3Dw%ALZ5)To;;3>+Z@c%!`vn`-4gJ zMLno0H_@-Nr6a`|G68xgx*_UcjITue-*f0!&-g70afZL5e$za$-gV!T^jtgN9b6vo zi07bcwt9$-Qx7|f`1z_j$b;_GGSYJ8-w^(M$my&0nzyPs(0){knX&3xiQWew*^P5iG_a;4$Vot4aWy{Uw`S39%6Vb28TXdoIF}ps3%R8~)yqWg5 zTn+C`r0E$hQV4iHbyd5_%v$+28b_?-HET$X&AcffPggfszX$p;Xp{_NHm zt2eGK;5;D}wE&W6`e~bN!~(srg>p@R`3Z^sM`A8rNbo z+H$d-_6>a}AAGb|*lO#;e(sNc#b@cLTj%8H#a3?udJ+Gxy|LGveXZcr#G&!_5{RFD zid<{Cdigo@W_>xT|MvS=TFwUchh7}1hj@6I9kK9B_oZ=VY51Fn^}f(A`waWA+7L$m zrz&Hgal+i7mkkCZe)+b`R9CjWd^r>TrbZz0Y#K(z!2g>_ia+2f`c;>`x>zm(62YDP z|A3ow-xjkzyx&;(^NoLCpERHQ1zPSDJ`R7K)E{}~K4($q;#3O7<58N%H}k|~>uN0S#8+zx%_KWsfzD=6pvi+`Uk35LYh2ZbhNt|Tc zRSN?jGw&MZbJU?amb1=Z!iR+=f{PP*`&#a7tpctGt|EQMrz4>6w}O0&3;>tqo8w&V zEc*a|9$kfa%PDQ)Q}Hag7?KOz6zbE}mF=(h(0M~Y`-1#`YuC$ir~Ek5kE{(YO8wZ( za(<#4xHE4EI2-&+Z|l$Ft05jUf!;gVzR-=}{zIWR;|%FH#0|6D>?%k3@okEE(dU}s zxxgFc?88eh5x>%cp0oSsQJ!D*L|w_z$6{H?hyl;>#D?@5465^3ZJTQ;!TJk&_k9HNHJWq`R*Rzwt!Fy1h==bTwLur3w$7!Dw4|id`=+Rf! zV_dB`d}IR$<29384}s62CE%vV9n?AR%W)nvPk%xlbpKSUs|f)^T{fO26DWSqkKpD= z>j>+k+`^G()o?S$D`M-dwVW@`iF5Nn)W1HqA=3J&Woe+Ya417Cj&0`Ne|2L;X1Ua`u_HS?HHHO`Qy%JOXv) zJo%3Jq)_aKY)JEeeclqQ3XT5!Be*1@XbI*>)WK{+i7m~5=oI33=?|g4- z(wEADUdN>TWczi(NVk`BG;QU?CI={uUoEm4?9UTXv9mp7OSZti_X=h(h8+FKv~ zB$fOxEJd8=O=b9~dIP}u>27$A=pGGlZdd1Me^dL@5RdcpaEOgx53dNl^lMCc===ib zC3XEg#pAad^UL2o>kfVRZLBZ0VFJZ7W-XqltQ*D29$ut+NQwxxdUI$e^!oQ#(5qRQ zah5yzZoyxshmz0xM>s#|lk^@W>h;Dvs=4zKzs$XY##`uX%JcB5v94?%S(?_77}|sK zS?}>;%bn@;y$4&r0eKJ!la%G^Y(4mxAGc%Qc?_qR)^G(EQn#|d5`!xad zUc>5y)4Xg7pyx|71s}(KJoLJIS6ZiUekcERg`wwZftVMk;vH}`x+~4&-V3V`=TOqC zO7#A#>#qT4ztH|>YHf#}6-vhYj;QpQe1hovOzkmejrC!L{{d$sf}vLvhaetNrycQE zi?Ck_pSa<6T+T;&Uyxt#C4Rvjd2=p=kbc4iaQVDF)}2wUDgQ%fg0mh4M_C{7|MusN zKH#QGJ30rhs)GGT6{C3+)#|T6oTBkPdmrVIN>gMabvi9E!g$n-2Ys zj^M(pGPu+0Z8Z1{2_MmL0l1zK6ll46lLqdr{|@!f_J!m7c0HBi5j|RiJK_cM`pcz36py#0IR97@177qE`sI}?VIO1Dk&OL84rt|T^~_mMaVBhrkJB~( z0?TEAwcxVxFW@5a^c>5@&6)7$=^wB^IMKeSH*vQ<`KPS}=XH81tLN?V(zwhO{Adyr>Qa_1!YEu;D|hW`GmDtYg;T)dwSAMsy7tW#bm6XTU01Ht9< z&fv^%8Q$MnzJI9S={MnTzVpWO*ExL!+&P&Ft`GO>XZ`h0-js)wFEC!yB=`kG#^s z&9+;lpZ3=<+b?^6iTs~4tQR${d4C(f*nJM1r_lN`hd1@KddD>eTzUVEJZt}iWmeBB ztswsb$?$iU1_oGeSTOk%yG-%d9yQH!HMAEv;~C)Gt!7K1q`+LCO+%87@us40rX1cp2+ICjuAoQxyL*z%6%<2yRvM0%B#4~Vquizldd4+Do zyRF9h(&tN}epHv`;ClQ(;{Uyz3ZJ*V!5uXjoF!KyeFds3VTxn_k?s2DvGF)<3!!d# zzTx1kNM|3*<+;u9QO{zj9tyq1ej;Mqkp4jwt)pqnQU79X4RB}Rnv1wUWfs;i`;4B0 zqSK8_ma`_S%h^xW_dfhZ_Y;)oKNIu1EH6s?IqT34>q}Sj#&bk)+Rw$eGvM#I%1Em> z%iF+52R*xBedX}i!z~wI(|JR6rtd4%zW-*~cJm>L;@q8f71t|DEw`WI=}_`1m-D^i z=8z!E<<)V}%W-3|f2!@%7FfB(C@Lt$42zrsW|{XLZ6`c!=A3R{qjeN=vRD< zM%@a($TikSe!ZLW<7!U(SpOUAE!Wd3pkEcN$me9nX3L!i85DnH9M-$(Cf8Xm&fOq> z`yA?DeKU3ge9F-|LAM@>bD+K+B%u$eLF0Wm2IErl;8It%kLsETt~Q>hes@mv29HdI zzi>)p-erx!an{EP&Iit7+`w7El@XS!KW~!%`}W|DcXRY>%F=U3KQ2Rg2=;Gb{hez6 z!bhg1QvJ`bsjQDlr~Ov!$~5+x_u}F9(-F;SyvGKEI|apZ%h@1*a2`|yT)VvCBYkrA z?TMa<5yY3R3Wh%DEBLD~Cz8+bLKrVU=>{&+ zVn~0gK@|Eun*}b*`C;Cfd$Aqx@vI8Y59CGsvcewhV@~V=^s9z-py$rUG1FW&p5&bR z@A4e^Hy3wf|7QVoZs#lNLNBXq#5qkj4}rh)#dy@MN=jR1`{lXX68}W`Hy_7h-%~U9 zpkKW;5%a|C;4c3wAo*#8CQW|3&>F;U3bxwbUew_3k)o)CU)H zzY4cpmR0bVOUIMGZzi3SC(?ORa1Ac&CL*6EZa?YE(C^IHl*m!m$Fx2ME<7*LbNq0r z!RXibA~-vy!PU{@1JUoSJLD5V=Q??`ct6WoU}5B$T`N!ev%$^WEnl=BT(0Yg@fy_$ z&jpj-06sb+KkbtqJt_XkCKONNUDTCXncv6ys2+44GcPj1c}C&M;JIlY`8XH#n-Kep zjmP9ajehyW)2I`EJ8q@bi`m8D&+k5ikDN9=*y>gAHHv2;{r<{qJ=5Omom}65vp0hg zrz8KxKCE}qIg_1TjD1NZX?lNrNWT}AJxXET#jVL>tiQ9f1>!Ms66QtM8X&Ddt4Qn4 z6s>^#@DeFKte$r&3cWh(M*Hy5Oh2pV$v=Z@pL?_}*7iYuSY^`d=)LffUTwM6tFJ;y z|K@LSCu}A?7v68exa6`?6z7NOcu(Xt=FoWi+{L(f*W8#F{kt!G#HjO#Urm39dN$SS zgPY$MQk+X0M55n+`jY;{2Fy$LMmXJa=hQ!>AM*_Hm^_WKZ<|s}!BysRn#Z0#sFUn- zT?X#+8i;umYeP5LYty+U>9@}!-m35z%h@{z@tf9pDE{`*5w2{kD~E!sTQ1~{H+#6; za%a-7;9^`FIJ?tgq2;`uFF3zRfA2E^gH~Iv2J|DJ-ovSWj?eGzZuvr5cTV>&sXp&t zY;HMoJ%gUrypR2m-`d^Ba>#Z?e!6a8bd3 z3G}l|QGVKWKz+($ooPS0JOn(_J4WkBF$I&KbRNxrY-5?YQTpN z+8FD~_7|%MfQzw@pf{rythAin%sJnh_RzD;FvP>s0BByz#=ckIDEDaB=LP!FIf?GyT5Q30h6O>szclXI)d8_slI+ zSDqi|SiNrD6oTDGhhiPF9f|mV1ia|sQTV-iO*g9Vw|T(j z@+fKRnOz=0>!DZh16wy--dJL}*tP)srqe74oaIl9hyLOz?7#ZY)!^pP{sibFwqhN! za83J7m)8p|SB2iAUo9KlchA0Ng$J**+>x}ui^C-{EjMe6Z3XvONBut70WQxK-D$Zh zREPGLJw@Q7dYt^#a%F&O>xG|jk9{a?*`VPF4C3ane=3n^vF$s&Qw)#aLhT%kPv!9@LPUG>;$t H*y#EnGZPgP literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/3.npy b/MP_Data/pose1/16/3.npy new file mode 100644 index 0000000000000000000000000000000000000000..710881fbd874ddabf64f9ec7def9febe8bde6656 GIT binary patch literal 13424 zcmeI2_kWH_+r~$4QFoOUyGCc#DDkYa8NEHah;E1yghZ5x2t!1PB_zS>qlX~cYQa5f ztj_9nuzFj&ti|HZ9H+nF{q=qQa)0jc9M>`DoO4dOZb@k4-@0Ab3~V%uEZ499h`_LN zb$GdY1O8L45-&F(By40@pJBa2!us`hylJ1{5&hHoh@d{9{nNjf_wn_uUa3MQ9>xE+ z|8g?MY+&Kv{n9`65WlPLQ(QWA&*MJ#etzk`tIl)L&Z-=} zpy%&6lKXDLR^fS7Ar$Rwf7X4DtGGYPLcb|1^&c}c zqe$oS-Iq9ffBfsm^zU|b9?C=K1hk92-QXv4J-h1KWurQHp8r-blSu#0=O&?@b<6d; zYd0yMssGq~XqUa(z)vS^y6oD;ux}o^IONeiXxD>=EyMSjb^dVetZ5ZmKV_eyoqfNt z7uvIz`xE{bYN0N9WgpCsD%>l4XIB)>xyE% zsKXtmIX$1=fX3UX7pCuWiJzQa)Nc+hGvq?ui{lMwTser_e-psv z=s(9ey{TRbdb^-5=0#;FtR1%nUr-+YZA$Z1V&r`Al-8&t6R`sMF&##0KNshkcT_LI z-(VhPQk^DFuL~XlmqluW+ksx~;L~F^>FYHH=esf#c0S^MBXC~t6Xr`T$~(ewcDFR* z5!3F0i~NNfIc{QCK`&}-#5}U`A)(G+=DS7x=2{6ZJH88Y+>Q(-{~{NOziK|fan`go z`CKUgf1CKBzT>(~Vd7#6;xubojQ4XsL6az+bA7SS_}-Kjq;CMd@lAk_e#gc*J*&_j zc~gf%C=YFumV@^`1un+a1lJ|5#yT!CQa)Le8>oL1e0`krSJ&U5U!GJ8^`i$gOmJL( z$c%YpJ*lqbsbg`_Px=LVnK*;$aE3qXP!^p@@n3rYE*^D6z1f2oiN}2am(LndU6tPq zuA_>h-dOq0lbye5(~|T>-h!)TZ37X{QHs-ww}{^!*oSq>Lmomeqa-+McN6Pc#lA!y zbffi{7kejDS?6O%wk7?43t_#>kC9RE|7Ixl+bS#SQ-n55gg!%Ga9wsg^?R>&yyHBz zE#^g@$W8i2c(U+{DNmF$t|KE>+6@VD>3gI;xef;^iV`KjN-2f*c`&GnoQ|I-^>v>l0j>hgI4 zzz^(&Ka1@P&d+B~cK)o^0@BxNi*ebCS+MV^0mr~ulMrwo+JN|uUf_0C2+h~2lhXOK zC8NRh`_9yFyzfx-8=Zm1o8dI&;l$^G;5jM(s(pL-t6n2eSN!k0(3>0=px0yS(|F&X zC%)s$zFM^H4CiAr4F>1cx8S~_zaQQge8Lf07u5<=zi|sA{nGWa6RmgI@#SysJInD> zIlZiT7vU%kNXk+$)U+Y28l4=3lM&RO}Oc;}-|Q{Keqv&4Nl z))AY#jPwy%DgQq$p6c|5CxOdaLC6EkP!)PxE*PA91wn5&1`Kq1`RL2OkujX||1fl{ z<6`4j@=0z={?BuSIL^oJ0B3!3z+bQ-3(@c0o#Y=t_bcU-X%hGYs%Kv9U&L=hQl~g> z19D)0ke42T^YM(%o%0#M#i$K97x>?W>0Eo4mGm8pf}5}cm@nBOJGh#*m*PyUit~~G zNnDQ|K>XE0I(M?=gx)l)1TJ}Z+GlQWrSWEHLVEs2A^vm8!~=U0-{6CFr@mVbu7Z97 zH#z^s{=?_a2WKk|6Q8#qdC)Juyg&F?!g%%1snE;4T~QC33(99qVv1jSesp8Hx9E1= ziKjK6@8V%k$Y0E91%KIi8m;#Wv#8(W-6_s`ea9mHJCuLDa5H>N^!PcBi@<1#-;+ZA zUw5W?+4CE?%{zzmJrkg3_lpw$YC85My=&)a_)k7Y>!^S?_BY;m+z7{If$q?om<;gI ziyzazJ;!3artS!=7t`~^ct58v!{KAI_n`f1;jFHR^I=c&e?9=~j@?>5(Q#HilKdw& zq}nT4fVr%XM-bguE~LYz-3Gg zItL$S4D@qxuDed_w@VS^fj4Lw7310ycc-p+~hx^8@MWXHq>!5EsWy% zq~UKDJx87Jf;5kO+aBaoT#j4lN!Rm6OVF>avlRWBE`{d6=ZY8nb>Jj$aUt_a$JM(Y z6#wG2#0$lig-_!&(%I~xW?ct+fr~fsuT8Mm4nv1 z_-8l9C2|PtGko_hiZkbX#IN_q&2sU`7gxYpLJ#O!k$Ynu*K25<%H>r5x_y4_;?ZmA zT+kJNp*U}(Vci*94Li%isf*VEXF`XG2=Y^b&E#GvzT)TbuJ_BL2ujULc0vT5{~Bvlmi#R zX_Pl}dbZcrD{Lwe75Tn^Yx<9an8`+#g7HN}(8*|GrSLFCE^e|7xuDCj>t zgAd<*fW}olsG8&UY(a|0XEC^Wa;q!xs>EX^gY(;IgB(`@YvC&@v>=~59dNHU{y8X~ z6fe@R2x;u}{N5GxE5CbA_XLyF&Xdl~t##ny%qwtKHPGL2=7}VJq$qs!)i=K2wl_F? z(*|7BJsaTs_4FEuhbP^Hk3QCCt>fmeFYhC{jze#QH}rR0^(l+|*o;LmFE;X9oD0S$ z0`Z%ko59t&8`E9C+|oJ4yVgKm$!Cia9M_9)L(liLfS!Mv3?I4q%RM3CIN~wgTEa)h z(fgY5u1E75vSp@=M<4U1y!99h&d0@1LY%>O!9~4Gq)!}x`x`5f2YE0tOR-*LiM^|x zUgo3U#ngvp7%%&&YG3dvn#OhL0P0-${*5@r>n_Lx>vJ6bY;syZkBcW0?Hg?EpWy1! zgJ|a?s?Mf*T05Weww$kYTzg-KKP&wo)IWdUI>z~^-t@l1{|E%v&CgDCob{yN0Yu{@ zaQX5$@?$3*hmYL*FSxpP7kaUf_GjB*3XL~#N2K%78R&db8S6tYK7@jca^vB{C)Ooi z*)tCMTy(FtL+HMwW{rq)T#l^_z3@AZ`;1yrA_Dxks>rk5t7yDC_G2CC{BxmKpGqK~ z@|Ty0Q@$Ml&W2^AdfPU#f%7qa8iDJT#lThE)J}fsoEM?GGKESYPE)4Y81#F(I{Fn; z>HcXSUc$MnXS<(aec57NP>1681e~X=;SBieSKFYMcQ;1C|D}i4;{pr4-f?lc<0kqc z^y)16*tmY79v9EH35egWsEv7)UH*&r4l!dDxCx=(6GYPEMNTg(Poz8?^Fcn@G*6=A zy#6k5J~xK$6`R{@$4vs=A535(?Zf_?20Jch-$OjIL?3W=ae27oDs3L|NLNdDsvg7a%XH}#}*R+;LGr%s~v(*1S| z$4!yi$d8Dr3(mq83di||uHb6?2a5ApL>A@)XB9)v2f8FVDW9d3oE3=H=N_;sMp*qnaizLHyZB&kED~ua1`B z=KDm7|H=&LdA(S?hw6fF!S!VNJ=2_SwG88Z@SgnZcO(6YS`^QPcH}cA0^{YWp}41+ z_9MW}(?#GW%cJIq$1|1mXSS1mTUM-JTbh1f60=5vi$k@C_@(DfRP({Sn3#^F_oM_l zZk|=f{-YXRp?Uc+(?aL3pZVQK`;j!NtKLO%{_>vxg`VBzh+n)8nCJ9z=sD@x2g_{h?U`e7?#~aVF-&K4!k}Hw^m9ZNb%{rSK7X zug!+OV6F#fFGTk-8+>*hzNhVgo+Uk`cFSH(VTx8@(}moC>nt)MrHFH!upnk|R^I&t}1 zU2xT*)e6UX=4tRz_2*x7&#OmK)7+=15KHllNmEZDESX_)mk6shwrE<7{6F z^}DYo`M*xXey*P-!e1s{!Tw-pdt-i8Z~A`_ks1Lm`~9Guk6DukdUnJY@z~PGyMo{8 z1TI7ia9utV_DNN80r6_pfAe$CKWmF~M}Aum@u<5mXk49F(|fL%0xko(VBUGK9O0f* zxog75&YOk&tC2Oaj##y?P(L=|Fy>v1ueAmGjkDn+dOxK+=Xs3rvK@oLc^ti0%83K< z{w_Cv0N2BRp?S~mGu-*G$h+k8bPG5ew!Rm}adR-@G3Bmcy~|Jg6!dA^NFR2F@*HQT zdD3lU6`B|JQDVHJPrk8^^D4WbH{Ms_Bj)WL@3`K3l6<;+Jm-AH%C9kAeqB+&{2lVC z&m>^o@vwc+v+Ui7AI%*A|I90(=dT6L*W&H*&d;Q#g0r^!sb4)@JFc?OI%0+UV!U$j z4%ClYwiN#IbuhT-7L9S~H3z}q8$OxhiO7R}(!8YqUt_Ockk5vl(A&OI z*ypvcC7-U>!1adYE-rr7^E&ygUrYLmwY$1F`Pv9@^E?%KHbvv+JG}{7O+LTVIyIFN zMmjF@P+gfCDe&QgvrTl|-jd`$)qu-y9%EgLFxpr74uc;M!ZVWmchdWgd0GW}>l+NN4rYL!Rq~E;J|>LnN7p`&ctq=< zF!+1Z{EF0j6o0(Id1q2iP`@j4z{d`F907gVtKc$}`c?5Okq0~HHMmF_i}hlTT!Fu> zRD#w~lX+P0I^U~per{ZIk3z4j9!9_R+O~Fxv+H?qR^$XY^IO{8arI*_;%&xZ-t9Vu z`qA+;FXn9>aQ)-w3D7t02fdBx49>gehMs#H{tdrD-P)0j5U2Rz z*ZwX}ah}$ZjESK2{+rii=dWKigF23dH=gnF7T;M5x=TcjMnw4LYQ}!oj8vh41cjRgYu;N=#9kX z#+z8z=FM>I+vZ1se#LHq^Hl8}KHd4VEC;|%TLW$m?ws$qEI$lAaJ#94!BG$G1+mwE(`grnM?X7uSdftV=DR;qX$tuOWNa} zCO6XhvR8e;Md7ICPOnnDp*JfQ(0JdqqjP+0M!G*78HRdLi*hb?dh>2M#Z#{W@}PFJ zM90NHb!ohQl~8XYrtdOOI%nDFys&MW!N=Agi1j6MdBI=(@+*9J{cT&}^RO#?WT|I} zM^BGv>U>P^J>cy3XylVmJU7U3RiroK(I1oGBjf7C!{-k5%kTb)e&yKNiO_#4MeA`$ zaatFjy|y{MuJYylvIQv*Z!gffQ!xnr+SaS!V`d(~dl^eiqx|s?-MxXN+%{2qM7gA}U&&{Aulk1Im` zmh5ibcU~w9;uLvnAx^&OzZe(mm@vMt3 z=2yrM-*X5)tp9byuW~QK{$QK8q4DPE2+p=Xo$vhZ^C>jmiW$H~v+CM$xrpk)Y^g%? z)#6Sh;;A}^#@oL%xUSYW3O+vJ#4{HM7n@Ei=+z+_@7#ZoXQuita-5ZpgPvDhK=s+Z z^jPp<+7DTK2`=t^8}7J%Px;YBn}ajoThQy$U&CLw??8I5#TYN^??dCdHXPgrY?|VH z_`koqU|{HO1*F7&B@4H#G9QHV!|{EqRe7mde5Ke{Ew89o*JlDSd^@yN;f;A7&J zz~9vCjo;s7$;zlJKI$>{0ki4hdgsIbNPv%O@#XJ5X1pBlNynnym;05k7vfPLJQE$4 z7uG}15?T;1y$bhaHR>1QbAAT5gC{_54$*k|y#mM&j~YM3`Ixn*Nq=KK>R%)`=;gRd zxdkpJEClCUUUmb&{0v;R98c>d$4>!{i*s~7>P>HH9(y)#=$FoQ{bR_399o9f^_?O( z7u0rokI=oJpq}N~%7|Y}`gw@>jCp63laM3LudA1Ap7lXdR3~+gK zC-ImTSid}WH{w*1_F)#1Oy`l`d~noBem%BRX7NW5Z)q42*w1o88Rzhl1iH_?+lE*m-t_eP(R}Ey7qqQT=e_$9=G`}_B|V$R2#h3 zJNU3r54g;Bvy0>WFuk|x;s?OZq$(q!FG%+Rv*al_?-)mUn-zon$m%E1uWtU`T&GtL zOCmq!Tv?2l|MP+NlM2B!FS(PkzSzjxaZWEs)dRO>o`Q2TFvf9n;2*?kk20$BU4i4E z_xbWW)u%t8m)$Fm0&hn5FB+a zu_t|8)}MaoVRer~Z#K~1uj&``pqJ}PL9dSNo9gt^oAz_vswnZvooL=wBj{C``ry3V zXxvY98r}E!x(XOC`z0k3dGMosOkeE@E*kai1HOX(zEs{EPx?1UaL-rGXdQ{uv6x@G zGjxX2b3a<|>3=6c`&Ea^KRN#Y|Nf6=pie%!2RCkY*VTdQ)o3dI-aCZ;o`bcDyyLj7 zvOmm|{%MM3!u}}Ja^XDU9YcmYZgbH8H)~D5x2V0v!W~!LZ$QsBc;QobDHrKD-=2)R zm!;|VOjT{fRKIjCdrpE*HU0{pHar9N0oA<*oyTWa<2h!wBOZ3(47iy$0$jy?h5cEC zCSiTr>kr^#ynQA(fA(w&bb56?YQNfWkmG7p8|YZTFW67)g30|{oHi&Q`8TBBpLKy_ z5svE%^!Mm2@F>Okd^X-6S;kw)r)l^Xop(_)p*KI!?*;Zc{r`&!o{#;(-Y!pZm%W1Z zXdZ6Exi21ki#YiE%IM#|S~<@3D|3DaF76ye{NiHuSjSD{Uf`z1chv8&?eLL1j}Z@` LeOs2Yai0GH%JRuQ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/4.npy b/MP_Data/pose1/16/4.npy new file mode 100644 index 0000000000000000000000000000000000000000..177c472f9d7dbf54e11bc9254cab77c264e4c9e8 GIT binary patch literal 13424 zcmeI2=U-LF7w*RvdoM(>Y=1^EcEuLk8GEoqQL!605$wHpM+Grh0b5Yw*bDZ8B^pNT zV(*<1G-8P*Q9}}qm-Q_Eg8TMf-t5o$&a$Vv0{t@R)w1 zeHu7Ejr!O3sp9zbA2E9D=)mE9M~n^%Cf+J==$PPiK4xIx$l&zP6>HY5TdT^~Rh((g z|LtEck^VQW=wna%MNV#bhpu9yNr_Lt=(x|X>9f5Zfp#5o{3d-?XBH(>yZhlkv>Wpe z+SQKb(U8b-ih~$;bGq>+$JVn~)Lzp+}F1 z+cgs~es|mI^VF_7^ZhFA0mkP9Z@&-S`CFFS<$7*+@>fCpW?8@kYS(@KO`>+QncGdi zOV5Zq=fdFQ20b{5`#*j{{@im%9#XrhvXk52MI5Gf<(Covr{2F)yX^bhE4r%o@p07d zeyIGCKHFxiuF_Te4u{ShU&;OdeGz&ysSNs&0cGBkPKKO3P50a0wJm)%baHx7B1=bGLlUpJ^W{M`Dv|D<*^A{_UNIhk<3Em{fpn|_57sofn_ z6nU3U9?Xl{e=CW6?81$R-_D=S_xGKX3f^kxJG#0L?rf*~b=Lcn=(F590(o#BZ%4cN z5VDiFi9IzN`eTJ~zh2w%6Fz?^w<$ioU6h|#g+6N^jr;A}foPZ2FC8H+mY4KFd#)_F zUwQwSS*By1X9nU_4ZeKeB>l5SN{)zj?)!_QiUJvsl3ss1UPrpw+EXDPDD(x=m<;6>Dh`Z%Vg3IeaV_wbk zA(7B;x{Udl?z+d|CM>eU|M9&Lh3E?L4?@(d!0uu|F&%E=#Rp z{|%q6fOji6op|~J<2bL*VeBv zMX+A9_#=$Cv!NllY26jv9q|@=XPXCHe7A+y*O6iKNw58zfji{{>PZj(2)&-j+-{!7 z>tWusiKI8x%0O>B`(a*GwPKpM>-(JZ@Sqc~!^eY{Bc2|9s3YglO613u3Dll+z5Vna zc@`f_VBc{4hqr=H_hVc~{kr$tUJF$725|@uO`_$Wqc{DdajD&xuyWDT#t>Dh2I)lMehJve)cfnP~ngfW7 zI6rV**o*rOebkh=sZkhQbP44+>rb8TN$1XY(-4oX6Nq&t7B6MJZ)5KFd=&en-Jd{u zbG$vT=LUn}WADVRA?^m81(z#ovHyb?;l$+^oKJHyiPur3xl`kbuYbey(y1ZWRnFW| z#Et)F&QB=Ul^E0z_2#tM1@2~E1ijocd!}xi`vCFo?WAPU61tZ zMBM3c2>xP8PtO1ScCq9y<}Za_?COqjso8(={BAt~u9r;&m*Kt<1YZ{EGt_{kG`K{fqzpk{>Q=H zE7!RG8$@CMH%ETr{A|h2`B|7djP!EWdT`@23VF5xg|Y5r>HgsQL=fv!-Ug9gSLS`g zl;-($eEUoyE*g)8-Z{{m=cV?Vp~Ri@d%)e8qVU&~f}^27x|{jT0<2FMfILX=+su3O z`gKZ{ocfI=?YwI1Q)Bj zfxAT$W)YYBSAwhSq3pkIF4m(nArjnPKg#+5Kj`%P zjv;?@pd0Ip=YWrybQ<$wzr2s}%GM)zz5HEanuqfF#v495q1SbMZrY+R`M8;SvVY?t zSa-&|9`b2RjEBE|(-`&Oobn%yem8#yZW4P!uWrsm{kuE90+%62(XXi65&MA7na2Jb z8)Loe+jctojqU@k^4G?5(7FEc2Z~GVzlHeCfnvNr*O(GYT>a4q{!Zdve$Ebj-J7_R zH79)BHod^bj|=&{_k1|?YX3&~+wLXs{IUzf!R^J9$fp^wAe!QF#{R^4Yq}Essz%Ks z$X}-9fWLV%6Wo1068nry>kjTr=jVv%)Xk!u4G4&NSjGM`h$ePTtD#pI$MAd`vj63)9U-{PJz)6{HuNCZk`m zBjG;jbjQFQxc03Nf3Rup~ThsjPps6KM}v)-Tr6tvHtvgG3!t8KBg0wklq~~ z$n%n1-{P}vtLbWb4ne=hyCUajsa{9icF7C9llL?B0nxbFD)7F+(92b&5RX%41-RKh zhVzqW5Bz2R`h!WYHs`>8Xr2s$zgqhHviNlFysOT6>(df>Fyg=I#BG)+`0H>Nc^3JW zN0E>Cc_GK2^$zEAQ|XSx_0gl?;s@sHL#-0zl zb@52@QHc)`k9o)Mp>E;!lZd+nt$UBh zo6jG59oe6sFBACOYeKIg9^33Tp9d}&9&fV-m`8PB#zMs7@bgIgI1${9ZabT}348#5 zXUcV+_e39;`qlsNK5S*G1-+;gH)I$C1x5**o zBM$TPSLW)&>$=InFyc=BbI_}+t63k^ANg@YPqI%KzwhXYv!Qnn@HtHc^7lB-&<~Tz zN3G}gEK#r#eB?3@xF|3YKITFLa3^N|6w=!w{J!9dDy-ksdMa@f?*qNQeU8s>_wr99 zE_`@j)k0ysZp$0vJ?Yq;m2qy#^)>P-BEI2s_|Sgvk-M@Z|IWaWR`5UO;do}0W&SLr z6ZzOxiMCZqR z$r{ZEl8^iG6a3Y~+Z^YZIx)ocx?|ur^AK=Xev5rlP5A>{p0CIHN{yDor{HYnC9h)t zw-586eoR~k)Q^3@b*q2egS_eQz6Ey@zC=9c?p}<`$^9BWj<*lE8sI%1@odWhuHH4_ zdd^m=hbKKwQTuCf-7psGPPF_9^Q+tP`BT0)1-%GOXhJ@s#um=o?V2FC8Hqf&W4mbhXXEpOQ*R~LXWh1V z&(fdyz15x?2yP}!L7kYoQHay|as;@oo@)wx&iZrwJ615C^>_?%wex?hZ<_+{wAzm6 zg)Wu}+}?hP^`*Pkp5;l`yXCqdKjQN#j8{xNyOy}vTn~D)^BC&f3GRn^QK$HO3Af!N zaJ{NVXVUA~U)lfTad5LgtQEy$W@JJh^qmlJcj*sph`W<~IiJJ${3grvZ$?}?U0L7g zGvah#EJ3}QKRrC}WjRjuQsKSHJ(=-dQcKB+RhO%h`$!=-Bf=6HLt&Cz9eH`niR$JJ}PJd>BU!n!bi^i z7F>L6y&B_s^8wtn?GLW&Rz^Is8UM~?2TbFAZ^ohi9?HXw5ggA94Q^MRZ%015K?t~= zb(r&Gmt%jh#rXRrX~r@4dco(tAl@gmMwX|Qmv{Yez!yCWu(^!E<>+h)x3`THdNV6S3PeJ{AI}n=vR(9G#=dh zH|DwLaGW_FO(w1qior+qAHi`pC^?I`IMfl`R>}tM+)Ux~K>IoHac7TbpC%RIue?)v zT;~cRe$!2kARm*q8(f7|WWG)#4{~O4?)M)raA%i9JnpuJ;7)1-aJ8?+Y{ZjgCb&oq z+B*2?hmng(?>x)#8(rm#d))7V*e&$g_S^@( z9`YPq_6d$AZvObpdAn8yb!%HL@rzIAZoR?a;!-y3W2Ry!)W7`Lk9q%X;5ujh`J@+R zHgX=4%YZx0{>5|Iy_^Vc75`pnQddode&_;lr_4s^MfUxn;8}KnYyVhq6?$p{ar<9E z#P6CK*oW=I@Zp|xZtAp#-kf=i_~nf@Yv6N}xk&N@*ZaDxC9a#!fsgQxxq1rJAKm^ZaJTem&QF5^7?;>^ z6x>{z4K5F^#dWR_{i-r8CPClk8ppGlfA^Q`vmkz(`3>_#eoxU6-A0pMo-EDls8kfM_e-z$deXVh zo&ddmlYoB3&JJziKmP)_JbxBkrABrqZcg+7S6*S5ce(iq)|aic2HXs40j`=nm_d5+ zq%Zpn2;@4Mnw9Hq%&*{1i8SnQZtStL&_67Sx)t;M5T^||801N}acAsn`O> zg4`{i}hy!PBu`%+tII?W6cPD3kVKU5NUJzM+2I6R$YVcl;hI z|C(8u^rmqOaJ#HLuP@EN3#;Vj;3Cg(_^TpiW|EIO#d@>rKGwDQA!!(K>&xd2J+LL7 zr%ufKx#TZ>f93Ihf1G*VsmqCrL%dGi&)t|umYM|aI}UnTumko_H};oB#ND%;XXj!7 zKQEe3#kpE-=Kmj(!9mEI^s0k(q;7oRewTYgFaJEUntYs?wak5+gF7;R1pMa&gWDa; zz)jd$oD*!@%-|~PO6Jk+#*k+R>xC3W%+qw zgF3)RPEEx6(tUIBy7>JBd}Nb#d&tL`)Rldj{egI7i&t0|ZXVvx^``k;hgWamxvX3F z=6Jr{0Uzi7YvfHl;C`j~kNbVGehI}Re9Cga-;_d}=0xGW==THf8%|+w^y?NFgu1nU zL5Rm3+{Jk){AeZlxGhhhU;S_-_6O6tFXmCtJI;AKQi}ICb9@8&OY=4QbrNU5M}*Id zC2mf0J*dpHcpvceT2EYbPGZJul?v(by^ur+}uopkL>sXc~gTvYx1)#^Ra(;9>Lg8b#PS>WPRCUBFh2glheqt3JVA|7?{pUI>bXEM%{w<>~*o1s&Qo6BPmr}@1c zxQXnqh`YZYgTK1_5AQQiKSmR`tuyL2;AgILTV)b)eQ-bfJP77`JCS=l^u1ER)ra=r zvdR(YoiIMHiW=R))y*$v!slehJ{dCs+?*;g2YmTE#A8TVcvmO1asDz%xb&0#I?-T>>RM^xF{nqFAN3(k-^S=gl zfzM(ujMr}ehlq6p1ASi{Xtb&iFjP^9{v=MDtsIL>Rek9k6UK=O46&*#o^;_ zxD6k-QRr0Ci$vZZbg?C6u_Z#b? zIsX1xFz@PzgLsZ>Up{ZB75x7j`io17{KdW}tdGou{5T1F0?6O)ErIwK128!Ni?Cd_K`HSHMSp99s^&!d&Q$|50%9steYys>0_YmDH2#(|_PV z>Q~i^LOk~HIUd*dzC15m#5%wzu8W3(yJKTHZ)0w*Anv~6^QSv35nPtc_&=P@BcNBi z+k?BiJwHS59SH91Z^!jhVMrV5R~F#+IQ8%)_F=mte^%l;=>zm~>sfHAA9W(GdelN5 zbcu7|?%i#piJP^29?)<9V4t^F@O+Vf^K(Szxy1E<etO^7G}!3G6?z#W$S)JFmfI0}+aT`@Kh;HYywEt@FAm#NEyOJ(a!p9(u<+Y%Fng zdIskq;2LwiZ3J;qnAfR2z75>{rQ0ClGE-s1DNk4Abu=Xz=N6T)ntjgj`?&pr|DVly z;Sa8CY1E!w0t3I{aXH6)$dK!p*SZww1yi8uq^XqvOPI`9=uXkImAGnBE zJdgPQ|NDP414ib@dXWFNPo_F>O6HtP|L<+*WJkR^pF$rIw{uV>*5jWS0W8V}(yLi7%**}@Me7+l8UMPyIjsIpkc=>to5vL75XMedE;vxN{KG5ky zjc_%(`e5SjdoSqJqr=?4vw1XpP9Nd^yasc;w|n9FVrneJ`jiowxIOuwDdc0Xj)6{H z@JG8H(>w_NRqLQX)!OiW72iFG{8hoX%#RMh`bvKvn?T&$4MN`Rnfn}X=Aj<)Q8zAt zJ5ldAui`W3Av6EKi|aOozx7SU{-7Ijo=uAfSdZ$$2t4S3Z7xrtew{-6 rf6_YSJmOcsmJLUoKKveQhJS^ARnh_YnAm9eI34!zesbm7qWJ#(Cz5P}fE~~dFvC1l$6=IdOLG(6~NQk=8C1FHQSVXjFqxas{Dj6XJ zu~@xklq5Qdu*BlY9B2N5=k4=&bAPVy9QQHjoO4dOZduf++pk`|vaxY2xSHRf(Y`^| zesZcc_is|Iwo}c2WYCzPfg=Wt4DuUfx#z%PqX%X3(Srw$8kG55y?&!c4Qkh@?Swl2 zxBv37%zwFxJ#o+c;Newn+fO}b<>Q#lPr2{g8~f~ZoriWk`N$3X%$^T_WZRu5U(qh^ zq@!KL#-d&H8j5y(fZF9M?%}kdX_hs558cX2=wFQQY3#H5cno)=W(`~!*52Nqz^+*3~ z*j0RAHR^K7wu^#mkaxA^$Gg_oX;1_CQ{9WaLwoET`u?|rG_K!&!S_ukk9gZ|*5^dt z`PpoUgZ~_#XnjQLR>UvXQvdqcw5Q-r_oUlTm2zdL{l1ECGs!+nzd+={dAyU_*H7LJ zeTACS(f+0wzHhF2eX-Aacc;xUnV+J5+1mD5wN?1Od>DXs?y~k6zSpr{HT%h?<;3@S z-0bY!KA-A>IL(vb_boFYd2}A+K^%$5&h7K&rtlLXP|4!u&W*+AOl|vV#k_34e9R`tjtGYb_Ta%7V-3OKDzz9U5u5 zbLJA}OSpYPy|Lf>t*~6bEdjkQ*^zvHO=sMZ~m)PC(Wwfu+Ji+K!nwsUoL>l;BMEUd+}nP<$U!T(vQu! z0v;O{V!58vkm6}M2YC>tE5;>r{7CUviKG1F|2Q8$Bi+E6?|pDq&djl#eQiSex8<>3 zff9n1HCMtO#8sgrx>q_sZ8@*s~+N1o9>La zKJwsH#4o=adCfiZ*>O5W*-x41PjTL;2)#T|5$jRA6a*K4pCTXkpyt*`2bQAv=Y}Ak z`tI?rmaDHv$-l`U%JZOV+pWKtwwQc==t}F%8g5UXqe)*A0$b;@v59>%SrTp^}-QaIpd7)nul!*MOiZ`J* ziv{gt<1Z2ak@i)VG!b}=p;t3UAfM)x_gJ*+85DnVe&R`8BQ581K2aVntf2b;(KFKeh?|r*HT@>I zS##kJ@LemQ=MM@}-gdT`Wx1ZR0i2Z^hCImbU!iB42b2D%QP7*NIsKvkaSG{kOa|xo zPEWMlc{C1O_vu9W58gH0a^trTTpcO^e{rotwB`KCe&Xv(LN7eGArImu)ickZgZ$$M z&a`@2DHrVz{%77v;f4twT6>WW}7|hMk1J z{PjA{9kYu#%Quwz9nhZin)(&j>Jcwc5cR>W-~bJ>R3$0!i zmeBK!`@xxC8O)1Gr2CH(8wJju;9# zpgerZNj^(AU|!U=dsP3=M`FG3R>LP_yaUUT&!yh9U$qJAZGD(eZ*ZAB80(HFAELTi zG9LbHL_5?2zdQ&1%0iu}Ury^vZ+%S@0k5FZ|j6nqj@O4W8J~ zMaBNa-?-r%6y0+9**N*$TQpyVOCt|_^YR&%v(e4rZyxQ&Ijd{T?{B$WmzR8+^Z}RY z-_w1s-w5bshM)P5tIwgMM`}&xO`s93y{`Z#u>E z^PgiZ=L>tGU!AfQoRyh*^@QacPk}oheZfsfmjTva=PN+{9{YxPoO~^@@99~b;;ga; z-1xj2X7wVP_5m^VD8}Wubwi#_>>=y^sDX$_ze(C*eON*O^iHm36o0@UqpXi^=tcZ~ zF{;BG>q0G8YiiNF_-{izYEteH>*L&}dz4z)3-PO&kFoCf=Mc*O*aW=C>2IxeS-rZ| znBq(u1t0U})G+wu+Xim_c#inhfa|P1}dJN*xlMlh)`0pD6 z|ABdEpGgz&cNRWg5|in}-q)pZUGYF3SdZw*mg{0sl!x`c$g|45X_5621?SVaYTTlJ z|E|}?a`WvtxJt-r~01^%YKC-SUB!ASVLNklws zcR?Co#LEfzUSwr(e(4;>#TyjGy5M;dsNX|TG~Uh|mqK6iAoQZ;66^!!)svaFUzO06 z@-QhU`LEnM&gxa0XXJBVBYsn5c|*(1!=e;Vp%pYP7SY>sal96|iKO>FzVbQp%-uH7 zxR$nqUM&1Q-0E3mF6i}=Lg2Dp?>6umavlBZxVJaZ-=|?-F`06Ga1*#w=mR*bbi>=r&L4&jkj$W-3QLcQv7MOE}S=w|3Lif>0Zi+Bjq}*7Z&+&BlLNyL$6(b!FW~ujy{&l>MOyWv!_t!EaEldE&^24LffU67HFfQdf6MCIY_c56g0nQKnH_7_2I&{9UXQ+8EfV{Dl?ZEXt7sMkymeRPoz9pZzwZWZ?&)6rOfPCOAbI)4v zQL)EG*U`w#?iIi7?mWx~T-pU^Pf^)Cqs0Zh# zMTk>m8wxIK^}+l)IlE+ycQN@aZaCWdm>QM9b*@L?%;N>l3wIBTl_DqX~RY{!H^8_&4UoIW`LK zP5d~$&+=71RR62$)4qLp6MSU(F3_8vg=n3QJO{24Q!y{h+Y|F5x2J%cnQrhgF~O^B zzv4_h`TUag{#&Fq@!hn)v7Pg&-!EP9JFSXOBmHsuJ(KTnTVs99jt|uD;eOEb=M@l- z+Cl%%#4b+2cuk>+0q!PO9-GuJ-L2W_F3 zEh|&}Ngc2s%J&zcXP4ZrL07f<7W=8Y?}c9f6i#s#c`y#`JDw2VPWL6}>c>gY*DMYn zU1K=K+1Mq_a+cVM_<$VXy#6KJ2Ux2a@Nq5&k^aJO@Hd~5z)jnNh+ixZ8EJiZ#XaEs zdL`nI3nLGvOG)_ijsF8TuD>82HK8f>o3}AIKjt~j`ZzVG5I-i+uekdm5^>(i0j_G$ z`68R8j<8$}YfpUMI`X*|zQA(RId?MJ_udEBPZw{s&!XBs=*^C2;4IQB+H&^SSBn4p ztoQEHX;csM0>Rn1oV1VC`km^3mLIqtw2SzedGtPBa}&7yvjRA;*oN+1yDyMWKo8=) zQ)o?_+<^r;ecBl&1d&;Y~xp`Qt{)`luZF zpl5;25RZ0mGr)3Zpcgpz{1u#y88OP;_B($u@k({C+GjN&Kh7N%*%Q1GwNggssnxT{;vP|0M6eWgTLcc#Q7@|?}Ll#M~Hvg-rxGmNPonm8{EZu zH{$vf#B*gA^k(Z-n#Tcgvtu&#Vl2&z+BXQ}6=|-);Br63Q{X;)oDC^cEI0e(iTC?- z#rpC#L&n-qmJmYuT>laIl&tI`%hk6(p_i_`z{RVXeXS3VTSfZj9_UwjwxV@<{4lsl zI!^I#a#Pkv=b&{Y9|zEQ%dA8FurbTw&nk@uXQ_iRF24LYxQdtwu0#4^y{J7?z|DI4 z{Xr*|#r?-rd`>}zW{IJA&aa_~juXmKgI+BH!W4)_xxAwbd_Un8-NqV32)Nk2dUe=#&y$G&H(|eFg z>DmYVM)m?10TSy=H+w_tYcb7>ndeTt;TP1oUNQiB8PXfvRQ(S1#>Y@y@$>1}-^{Z3 z3h*EPJ?d6;Xp1=Y$7OytPJM&ckrNV1>#k5a%4aDL=+*kbf2__q6i@Zwk54bbmG%A0d(GtF1e&c&_X{QEQFXQwJ)ed)k?I7jqK;=J+@ z_$!|X37;9QNI&p4t!v*BLoH_^bl>299ym|c?pL#|KQDWX;@lhyu74V|6nx)c_?Wd_ z!JTn@qUG#c5cDjpBlb_dd+&V9O;Uf-pYcLI<cpYM zbJh-oPpho;b&`I6W-cpRTP{3GLeG2BJy4vPf^%H__aDWR5`=n?e#ckAXD01?Y-26t z!KoX)$Z|cA&K)+nF6zyB|J$0FOwI<Un=;l=U(7 zDp0?{l@KTApQztEgD4NrN>DwN3Zc54?MpuY+YBEkJZ^>cVFzO=KL^Ir{xG5_=23Jf z&RUJ^}sIDKF>nyZLnOfqQBo_b9STt`G+L< zID=`O^3eXq>iC{Ih*Phxhd4!DFN}-ToW3N+`h*_^*Is+kubQ%8kmV-mKH}#?>30m? zGfi1PHMs!sF8PoLvvED@P3C+^{zYqmtJIT|t)4A;2F{;;#6BiJ|5Mxgvl-vu;}rP| z_0N0mM}FA)80cBO2Z-Ov`*y1J(cjZOR?O*6Jo(L1%lYCk@_CXIT)nA-IGyWM4~|Pc z#N$Ml4z_w{1k-H`NML{Fi%zixJ;pynJ+R;)BPN zet+?q@XwJ(@oe@+JaXKW-Invl)xlMBy0?qsYp{=rim`}O-mH#uhn@1A8e`)Ro=5Qu zx-YS98?gUNlU3)hi$O0E>Hk?|#vJ&Y#O|nD=^lyvv$dTmo_{I->^C>;OQK;`zuC89 zUbOdVcf?=$HT2R{#<~zsTJ5l09M3whdnRMNta(@{^f~F?F89sBekH=%<6IMcs1BVy z^mk^?uXFHTrem#64_biRDWyf{rN{Oq2|)gQE<$iB5`UFUd> z{PW&T$*1m1)U#?i0P(Z$TY&4qXQ-~u<@U2a=2mZTV=fTS_Rl!Woxf;*aC{WvVYl{s z+j!Wb>zGH;dne*iZ(LU(o*zq5zfb>xkBI&hZ1wu^V{krq1@fcD7V@-uwz?wex6rxf z{Qdy@FdsDrTsmX1FR|cb_)deb?{xM=Jgjgp%!|4afc4AX()+%1 z`YZMswWU{gs~28nNx!lH;xQ%Cf^0mznm6%kanQ3HNq&~=h*IE&EkmAVlb6LTR|zvn zA9e!Vq?N(?b$n_6VY_J`RREg%L{}}l2!v_#QGy71_=2;7H z891Kuwk&nJ?bm7M2d?JKrutdlnSLKQ`x#s$Ud@W!S&k*!{8(6{;ZRdu^!E#4bw3$zv&p4`C%>cX5Pmwvs|@a z3(ol|a2;89q2>DJ2yk(x73Dd9&DEBhesnL@dD^0W^l0&`yX8sr9>=PtVBgbz_bXT~ zLet5=+-cgMi@xh>xsy)st-MDZxXN}L^D8^keLysQLq65+tg;nhcy%U@t zbtV4tUuk{VVfvkim%0eOdD?e{Sa$i@*gNEZwoZ;fjW@Zk&yFg zemh(bhrS=JcT-M)^CRIAmjC~M|8HhM6r;bh5zhuZvUR{)`pm-LgGYU$_0W(09zhmA zIw>ZzT~vR9I+lJ#4C-dl>tM@O>r%9DZq7RQk8Y8c%T8Cpjc<8;I?X4A!KdnAS`W)l zVt-bZ$7lUNK|%=Hjaxjo@$e1QpHn0i`-zGwh4JcXhtMzYxtiA9^S~KaFRyrD zA2BoOej@6B?P9sQMSl;ZcnyjtuGv(}#R~epRrMGJe-jXmIMtA3=$zHL;ICVs!@X4N zcX(zcedzp3>V)yC>i3AhrTd<_orw2Sr+W$b@;;pI56efB&xTOqW9hwK#h+Rj^M3$V CaQZy} literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/6.npy b/MP_Data/pose1/16/6.npy new file mode 100644 index 0000000000000000000000000000000000000000..c764c512bc6ad67ceb093a157f3058d4a28023a7 GIT binary patch literal 13424 zcmeI2^)nSi8GMT@%*8R*-SUSl8}$6a)(c8-o$C{R*NhwxeQTpkTYZGIp%B z2DXgd?drN~Jj`|T7d*c{55Jt(dCzsOx#yld=fi^5om#c+mX3{K6DkDsAL$=bp+2wR z9ay)5C$A7VEM!zj-=Temg#`3>ylLMdBm1ZFkpub;@1J^Kv3l*=UY?aa`6T{-`JSFW#oMY(+W66L&HBFfe4 z0F=vED%ZW+JaEscK}V>37L^-A?B-O8$*gKBPFJsVtIp)fr zu3Y|<_I%bWXrJVvH=RyZS!Z3jT}IO#%0<@j6j#pHq{TP$>=Vaj(X>2{ z^E&Fv&A~6opYY#)+m-8}IMib*Ox}y-s>6Vqq#rw#twL)9X!6=dsi+lgwyi{1=XM937%)&Z=G@F z>c(8;-5mPyhVzvtJdi)$F6TQ}&f3kw^RnH1w2Pnaf#-F#cgNsA_8-J6hyFv)FFcU~ zpZnVpzxkf(musgyc3c-vc#rF~S6kilGVje$+}l9pK|bG#a#?!CHpf-1ga~(K{qx~@ z(V*QIcW+9iY)DGI3h$#H?p_?$c%BUpLb*7peEMVok)! zn;iPPVd}ko^gZ&RlV+n_w`c%AK5F|dSFZZjr}&%a{!XOci-KKHZnExu;L1&=Pq-IV zv!I;){v-TE<_r(SaT)ACc99%DdeckzqkNa2Sxv*m3;?NTGi(1z&8v5{am?!qT&lqoN zM4M%f%Z>%1XFb}$M^$^a2KokB$lqr&#+Ti<68_Bp0r^ashWXBWM$LD6v!^54!P@O6 z9(i(vuZ#1`1?XAd3d!zXc>X=x=~e4L!A0%Pm%%$G|IcxLauv8r_~$Rjwb$f{j_aK@ z5RXka6M10oTTr_y)dV-K4}+U44*@5^?gf0-W8BC!T-aT&Fh|e*!l_nP}XXFF^V$#QEnaaMpU?IH$L{OG2-% zHKO^_I-`cq;wO}!>n*{}iS{v$tAZ^sj%whE9`e70DqsVbcz(4FD zjiW_%z~$A|EgYAx=2E{b@FTv$$IJPsb%J>Bujns%_0mYkc_m9hdY1s%XM&GcLTVYGI@aGtWPlU#aF@ER?**a-LVC@EK&gex_-Nw@OhpO z+&-CxIL+r$VZNz)RcJEhC(0l5jE{Wh=k(&a5BU#VK=Hp_H_qwBz1GN^d^CjG8+d57 z=yVe(df-3moV7zk%Bx*TF@- zAdEMiHG%Z^BEk7c9_93G{Y-G>^NjTSZ_jXCJUI`}#(e|VUoOmXTsPZHylq*GH~Z6* zsgA3LO~Gx`f5BzmJ$>PGhT;@mzR)@_Vk73M9C{aeStSshwL5`%t^A%N53Jp0^ouT) zkO}op{sns7s0i)DwX#ieoJ|-=_4dn#@u^GXUWj^!_Xg*7FV(v{OSI!swWNNWlN)+g zIl8su>e^M(PhU;@)!<}|e_m=d^lbJ+8s`IdqP-$dIpW_}L!7eMfU&4|*%ZXjdk?wf zo9fFw|s&qqUV zTl@^JY6Jy4&Z;GXOYdBi=UDHhj*BLkLk-+c3dE{QIH|ZhmJ1>c=gZ{+5 zyFkxAQN6NBW#V^=U_6Md@l@|cKjN9zC|9qoz5!g_>xO1q7o+irpiThahgZVyJ5YOZ|Zb&J|?j{`DYl2d8fQ)(){um3xE5fF^z}L z%TO;b)f!xUOPkkUUSa&3tUpjZEB2yZ&1cU*oFhKMUstV%`7UyMVm+6|dxNX6>4~5=lh^2kj z9KtxUPi9e^l@0P~|Ln6Aac*5o^+vBiz52J_^PRtrC4W@rwy`L}GS*YsiFV%+t9u3j@vP(1ZC;#3_M4gsG;^IdKK1MMJQZ?tc-#o?I`|)oZt32DhO-q33_ipWry#Me~$xZ%X6s(toR*zdT3#g1WI6 z@vsvUvEQ-8D)8a!dm|q4>eUwKBlpt!W`=rGKF9PP?tEC&wus*@$_Ib-R!wr8@Ap6+ z%)>auBci%bbUykft%q_;55%t~UBXlbcVcasGwF{k|NBUF0jPb_#%^dR3j*INUs8^o%MEqvN z%C+D}azU>~XM~S<`+Aw<#xIca+^H1ev5`lYLqBd5;$dZW!e0#dexT#>Zf2~XYN0>; z^_?q=l2W<-SQUCc+Yfm#e}+s3&#{o=Dcuiw<_G>*;C$4-^Qc{&ucBTP=G(z>o$?3q z!NgU)_XQo7W(53I&@!xJyzT7K&R>%;UZ@)*=x z?g@NU>_N0k`@E>*xV@MMKDNMeaFM-p56Af*9@MTo5#X{<+dcJ;BYIw%~R~_3qA3F0DrGJWB5!s@jMR;EU;f#5_3(y=1l|GNHn)0~f4N$)#4Bb}?&)u}Ta*B4Gf z&xfpoUbLEs{IF`rz}fas;O5(6=*9RQ;HJqmwAT*unBaVvFYPaEn;?Cm`Js+0Jsx`1 z$(MMwE6}SA1Hkq0YT$Os+==iJmB8)lvpCO~>{Z7(Zu9<#Jgb#csl5}*jP*_BVqFyZ zbSZ~?+Bw%|I6Xhu4_r3Qfc*0>9|e3G`-1bJlHej+flkgxSBfTn@CU@hN(>+C^vt6g z>NQ^Zz;)gT>^tW7h0u%7A2F_sn27U(^riO{(JU|Z*QT?0A6Mox>DydDoXjiT3dA|b zfXhw&X*}f4gLP7gH{hnQ7wLmD#2|kEaBv%Rme&6%G=A8PHW)vA8;x7jt1ixIDyBKO z{--G7;aTz^pFH9feDtPD;5KUD80T-YX9ZX9{LsHTa!(iERL*x$zp%lZG4JGQ-%!NU zlg^(q@-&Tyt|fnRT({js{Wawn&C^mjuny~pbkweA1E?S48Y52qZ93(-<^yo)_q9I! zYu$rh<#DO4N#h`qgq&h1;Sz=s_rjKyk zEF``0h(`a4vNyUxANLgVOFr+0aj43@!hXui%!I$Ly$5=J?8apH$OF);s&}9_OVX`z z+=kwRUPSjIAJ26|lN^tjfcW{02Ixn=z5w16b!!c-Jn4IaI=OF|)3d-yq_0zl@*g}O z-vP{4nvc5r9Lj@7eeLvSdD{7*Qw+wZn7Ck&F@pjB_2a09;)h49;h> zP^age+Jo!ri@@dn%OQ?i|FYDslsn+oYe)yj#qD(9HvJ3CFUF(7eN(xd)d~6Gai`E; z(f{lk$Bn29y)2jZ9sWbEk&fG<^j(54yo2#?%6-N>6~_-iuTLMQdC~IwMy_7fo5q#O z96|csZJRi*^Vgt!o}=@dUe>aK<6>4PaP#~#;?(`u)OK8sZ$xnp|C8pIS18__)INHz zVV~$cBlrD)b(>FH4<9|cBeg4*VV>$jC#k3I%%R@w{iaW-G!jZQDxB#?iNxfK6@`^PwL_S^>-Bj`K1es(t0aVrW?y}O4(&+BFg zcbpZc-|6&9+ArApM4Sh>$29W!JPLa8wITdf_J>sOshkx5MekwGhnLw7&PJ32H(gT( zI4(vMLcO|F0pg!H;xTLMft%pE#2;3k>hwy55#QVw^~x=eqTzoiJ^5^-{e_P>h4%s# z-vXRPucdhUPKZLifteq=t8IOY_?+o+xZjruJ@*1PJI)4d1=o+sU#(q?{Yx&-L+u?|6YH=&+7IJUoo)iX*>@B3j%TU6 z+WDw~O~K`hM&PnU!!?eZ^bzne-7D zDV`EN`hdr`1y`&!@qkXleVu;UBJvOZ@uItD&Aw=N6)Wo?PEqAO^y1T(sm{ly4+l4G zdQrbu3k`94eXk09#Kwilzv*qpIL1gJDw*K8eLovMdemFAH}&TO;V^VfQ{!TUQK_5s|+?<4=aDHQ*rTj28WE^rxju9x$d8G|Sf>IUY!O4%6ZID10l z!H!Nwy}H+tnMtWw#1l7(foQM#SZ;#j?C1`vcmFN;u#30D9Oo@hg6pJ@e>q>7uGVOG zRSPDeUj6S!lI3q*Ta^fDSh35zKY1w$x5(Sc|e`}{k&co+em`rRG##U7mup87$X*2#PM zasFW^o)BOA8}xSLt3Ve&KYkrtZM#W6$x+=9e@rsz2W$pcI|p<{dn=3rxAP7m&$ePj zjMLjn8eBwgfL_iYKgw}EMS<(%JIJT=1Le38J-|~tg82Fb%xivdD(R1mNOASqA->pO zRQx1xQ~oaIwQP5GhV$X$#*+TP3~)C3FRUl>)lkxFdf&0_@ zjt5ueE+QVgd31>5Ds~UJ2)Pe#7SZ=l`|&8a?MC0jg~zAyPA_~ff}1t<;Lq0{L>}x( z`hO5{Uf~?8%4Hh~|7|5OkJ#YFnD3_NxgEZ)-W3PQzvVI1%Wt-C=k&JZ8E{qO48^mn z1&z0pUBUIaaO(G8?qhz*1FOKGP~gwykvjY*$z;033%TX$gm+vgrMFa8e2 zd|?M0D)<~PNb{n40?o$}qiZ-HHjnZq^Ttv>8+3VeAQh`0==WR}#xcL7e;E3m-D*Vf zpBVsu(_*edJP*?JTd!bVo370VgRi6WhB)qr{ZzgGYbN5^{5#^&!H2BAOLe+9+hoS^?>q#w8xTn;LRb(=Naje7O* zU~m(j0p~HEF$~=9uLZ74^!IcADtjSteumD0Ds~w5aklOY{J9>9@xV{Vu5fyjo7O#3 z&l7o23ui1q{7JQ`-f>baE0QC0y4a6_I$4x=Khnk~a>(vRI6+Ru~xY{rUoPGHYocAq`IPINX z6i;?9#KS-Q6AGV5I!}tB6~M)_nG+qit3#;X5@jg<7Xy{!;!YC$<*0v=XM5!OQuxHv zxV4W~AV2(vTH_tpujpK%Lj%ECM20br^CoHedD@!ztxeFIR=FsjPrHK4ZEsL7i}j>> zZ;S;Or#??}KC0C_a8tAct$S65ZgX7ptq86*rk&eIPr*9Idec6_f2&0M&eN7tl2Y|{ zCgp+uk#=6XqOtzlqBPD`-TctoDs)a$jc381P3nYktF8xA{xzLH^)t%9-j;*brE3QH z)BY&ReMP^RQg<8rI$r)T@~M64_Zs!_ zGV(8r*CU_BFEO5F&5nqlW%nUo`vmf=^JEHu&x!8f{M{LFbNbX6$F-vML0(^hc-Xy$ zom@ORS2F6Ad$%GUeIWNTr#B@E!$)tp1Rs`oZvyli?-KtKgZ$`j-x@hRYg-yz&TfMK z6{j!JI{ep2aP#k2T9>Zx!S@Y$aVfZ1k`etbw_L?{Gq$1$;xWy;pkL(O8kk4A8NKhT zX^hsrv5z~uczDmEr2jE1;<0`qAub-?q$BYG$1r~6Z(RZ$SKfueMLPQbJsHsO6aEjd z^mK4rI*Im+o6o4;TC^XDU9=9f>nZe}cz-_P*Ad6jE>ryn^o!X>=La=(2jbUfMqoU% zFW&HHfuj*8yAT)Q;t{X>DIPV0#>w%8{VVs3pziGK~KV+Y4&;cCbOKXMFQyxocZm2>GlV0*j2L^PYa{iT3gr*^oDxO#c@u^U-%Oc6y9-?d4T!z=w|thn{WMH19V1 zpkK646s>RT_Rn^DrD?u1|Gwb1;-EQ>|Np=LH#1;Y6vw(OMc2D-9N3{pX1aCWmQ9Co zsS5q?4#r2-kO@htoR@!0-$V5BlrZO~Wi`^*D@NDVeX2M;d-oRiGGI2Iv-zu&|G@27-^HGS;QD)m zeNznz!2DEMilAIheLvFq+t)s%+d3TO=HT<%&fgCH050lTTK9bIILFPzc+_ip&c^&Q zaRFHWMTv%#w?h9=TsI!Ib$WeiJ?-Cvi%|Uyx=wLiy{tp`f zfBWZ;IG38a&v37X^hW&Jr;~C%Y|TxIJ9`>ASKh}OaRji~-!fjBp^1rx!Q N-)Zvixil*2{{UVQ%<=#L literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/7.npy b/MP_Data/pose1/16/7.npy new file mode 100644 index 0000000000000000000000000000000000000000..be6a746492933d67adae49612e09ff5cb0fc59e2 GIT binary patch literal 13424 zcmeI3<$qU4u*MfFTC8}HMT%>2{cVdwa3{#(o^Gk2wunG-%u=fe02M1-f<{*d?eyC0U?K_X-7y z$^zX3g9Zh43g{RZ)U_M&TAlh1>=wrd_UzQZTikuYQsv71TC`A6Ia2;_|D_N@s39pI z_~Nc!Y{F}}X0-RCq5|6bC)3Y~~{8N4!jZ9uzQIS}n? zIk$VhMi1#ZmnoW`e;kB%xrf_jg}V2l+xt7(y{P5_o&_Wt$c;9o^WWl zdAZ#+>w|VTb1>TN2!7sm8)2YvhIIG$6ls=p^Y+kYPWZ@tCgxqOkxi%R*4^VqS>8+u;XzJTYwG>dRm zZJ&N1dtEg6G_|XFCD30J`xDpA583ZfyPP`Y9oo}OWdG%>aop4I@$;|qoTqlPe--ks zqF!95=XAk)&~v__Z>im$n}+Ab(HZEMvMunum&cu;cCUR_GB?Yhl~{jj_HC_mbBD>85%O$u(`lN0ye z^K3V%U1h5J7;&7~!|kIch2y^0<=5115|zccYrnhPo-L$fH0e&u@PXRBze}Jl-GFL5 z-m~7#rgm2=JGdGC5#y&eZHgeS%VYyr@0Ma*yw??A@8vwl<8>hs>P4R%98UILl1#9d zZCXLc^MAO4xVn;z{VoiHy;#2j`nL50=y*M*@_gSHGYj!NZpQuCx|6y8kpN$uj`?;0 z_R7CREZut-4@@C@(eD(v3GR3qb{+OjC+=P@1sBu4T>y_zqlxQ6r8%D0Gr3MX{0qNo z5p$dV4Cg2Mw;9lRT8jHM>pr+Gn|l&*xw1UCs*xM>ULPMkfw(za8QkmA72F%z6ZYzh z4_w#X&Gu7IB7VK>ch>Kh2K8i~S7!ZI%uUG!;41f}VA8k!a9$e-OL!92|saPLW z#7M-WZ*|4I)9PM+=pV#w?4vkG)JNWI>Rzn#r9lL7GwcMozFnI0Gi%Qz z@F>ow>3<*fZ>r53LHg?GEB0HlI@gu|&Dq4ohX265)?8O!!}DCX`L{A}v=H{{>K)Xf zJuwknC4b90O{PyE9ew9KxT%>8b>-eQLtPoa_27DB5pdOR=s2=B*J^@$0|n|zZceO; zdl4L`EtVMdBimZcQ`hbu?5zsmeic5Bc`f@r<2)qaf^kt@@}hp+fO@cZq1k!9mrgN? z^li;v;O1Fc=(|i==EAS&04^#WfWH1G3-aS_uFvBue&Tu#{ILbu%b8a>o`Y+7zY1`c zxNZ>4<5=hg>Rha^8cJM!{DpOy$yv6Ln(0jk;o9xL^N+Uy(Kz zd5|~P1dzQe%K6uY{W<^Zs>83f4*3x;?{MCFjl}w6FPsOr$2)+V_3NgRj;hd&^O<}z zpI3UFg-NF z*72nPSDQP}qUYS|Pw1~|vJ&<09sD$lbX55xoQIfO;P%k(m`65AINSf39{CaJPldtn z!{X9B;HtzK zaQFH)@*ocLx*_V9f}J{tBW!ya(c_$9_g96HPW$`TGP zqT9gU*2%=Y@^q|A=E~1QsJ~vBBRs#NB-S@~I(8uV&#hqZolXHA@7Z#Ui#~Y+{gwWK zm@o27kKxo`n`jdi&{zAbV!pd=r7-TQOndIvg%x_f5|M!gL)b~9z1^)Rxc-sXe{m%NxQGqxMqD)YAs$zA1>!VIQv||(A+G~A=@Ilx zoxXy7Tov4oI9;#vHmycIxlso9OEN%kg+k3WARQe7zTR zW~~KRBi#rp4<@=HC&nAM7$#f+gd|?;1f0rHccyCXF%gX~1kKMB!`r>w(eq=8bC&fA=tM-Jx z{$bbr=s0fDl;HSN)!{l!mt-_?d1w~&Rqsy7v)AXJ*`#CVPe(lZ;}!T-?ov(SqW7QR zGLX4F5{o*N%LYK-R9%U6%nXelMEb76S?JqW)sbhf*a7U1w&iWuyU!`m?iS|{A$|2M z5A&zT&@VTrH|)KeC*fBdn+0y=y#-|NUPr-R&RN3i&#W&K$ghrSf;@=p3D|#*%BTmg z)f4EbeIDoY>6&z8FL$Jcjv5{gZubN?Cw<$!Fu0g79^6cM(Ve*1zJl|%sV=z4dvzjl z**-DrhE(IaIuSUB;&C&tbAR79hrPL5aTalrD1M(h7lU|Y z|Mb}3O^Jhu$5p6`aWtt{VLeeD`CKX+@OK9FY5zEiQ&qXe`u(oJUMLL7l4!d~Ua8njsHr=xOMS1RIcl-JRdR zOtClM-uKp_&@Vd$dDh$KaDJAgSqYvm7JlVyAL?KIGJ1S8#S_l&JNoB7;9~u!Fyc1m z6zq++iRa6l``Eu!@nhg3JRz?Glb^$0=jA#V3#NdJI){frzefE2lCTbR?2;Sca?dd6 zsC~7-^|GoVWFNQxu>R)qY#*C)1aV!g5Zm{S!Fk4p|1*TRcv1x8C0~r^{ua&`?2E&8 z!wlBhSQz=Vd-@`NJ-rk2gh`Qq8J?csvo2L-{c2p#_TNAKNJsoS8(eSa_dff0V=(!Z zvx~#8*Xt+5>7A=N1NIxZ4t3Bs)RmZ90_Qj3&4rF@l>y@=biINju& zONpCD(d;*AKXB>lV4c(>_`OmsstE24D3ATZ92mp;d1J8t+dT}AV6uvhm!Ltow93wx9M zHrH*fn-Qe1^?i;fQ)h6U!s5MBZXAyI#c{>sxNtDOKZqI@Tn8oMyhZE}r~bMc@$10q zD$EnknoHbU&ht^}*~o+HQq2;#pZWZtCoJard{Yp9)tx(t$1Lgz?lp);{_U7K;BIIj zxU3X0f^>9+rr_S$Mc}Rj*N;h-7hE5E0ItXW)sgH?cL6SIJ?C}rXy!3K()qgy=kvfZ z?yq0(6~w)t%ER7lJ%l>9GY<79Zb}Ve{o(h(P5!y{iM!{#?|YSwfa{7sHHs!)UvNFN z8_)K&Ml>d_{wf7-wp3;N7hmcSw|Sd${-^QxH&N-2n#4tcDjesi!yM<=RCsT)9r?XR zBn^O$j{x}o%%A3c2FBP0d_RhTq7q$6&rXKs_a^iaMdvIH}8|=-0A9y_}TOVAf z3cOKehu4KUn)NWHfG^6*^yP!rq)Kg81dLtcc$` zdjj_EU6B|(_vnW;bTuV6!CwA3iQ~z(E10;ha2H%{91E_Sz8+58TagYrI=C;m*pquK zao4OqxY7y0ZIv@P514?lte<@#>+F9!nC#X2d*EKa)QDfK{S-jll->w#vi|~Zdgks4 zzj-roe^X@u*HNhvk1bFR+)m@~Z0b|Vabz$0gfJh??=?2r*V)j2Bf!Pk^jOE_{pSOS z%apaj&2bBT+uO{9POAiu=;~Tr2A8kqt;KzoO{^37hR;aM3@%&l05|WCVI7mtR)X8V^MkuulXzclauQr6Zx60&?h7G( zxo!&coSVVD(ltVfi>vFwP515Ky4OF!#Pymqh+i+RfOS~Au2?rjcCH^;fWIe;PK6?% z|2K0tsV?TD4lT0+eAH;pL;IzdedMpdo-TwR$G&mn?FL?!D``EM47_vK-IKudsJ>mW?MJ=QkSM{?m@@ zq)p-=vKK>&LPt*J@8@pI+o8lwuH>j6Gi5*aWjU_qR^s|g{NKd`KA^wu*OBP2SlI>o zx@QHRzpKCCJE8Ht0~hb2xgPFbgI{mr4URMMesI%sNoVN$bw)h)q{Dny9US&q6T$VM zyIhA~v!(^=O3vkRk$wT_ua~;$h-m89$}P}WGaj+djR}Uh3OLH~_`Y5sf8M&FfpoP+ zhr+M7<1_N9lV8NV^WN@&z021TT(0lmiF91ZBG{{cYQV2poe}mTRTQ}VdoTRz$jlfQ z>Cf{>*+BGH4yrkmbY$lR(DyP92ltlS3B#A-t^~3(gytdo#gb`QihJd^IGr?80j~I8`B>>!x<@X&^xen~zjc(xHS^hq3Z`MNn z%e@;|XZLl)qY7W^Px_+jPH>(28MyaC;=JmuKf?TCI`;cC{ZO*EpD%!``3hW)I*dHH z>(AK!w@^OE)}J~6{YsM=^GJ-EjQQ?0c^Ks*o%7MKHyJoT`rO4D&>wV~b!zf^koT~3 z3*uhmR^ZNs@%$P-ir1g@OTq1en&7&6-qB=lYPV;dw4K0RYF@9r(R;zw+K*V@yg#O= zh2LP_A7#0^9OvvM-F$I6VmHqt_i-H8L-QT@Zl-oucQW8Mb&|0NJkfDdy(}f=C!T2GmyA@%;ycA^mpvzvh7R$PEutz;&GRv!A+&$1?1N& z(H(xx>gM3~#(AuVu3{kUbxeJ%pI)9RGsxbYXa{>Qb4$+W$ziAyF?KrZ1a?8*Y|O{` z6psvk1syMGX4spU-OEYG7FfzWO0mv}Y_ky077ebN&I8wxFR_of8{eRBuPp*sUxx&f zy$gr}*CYA8(gjxGbzm2-8*()Nomv(D@H^SdTNznr$4d0qn|gCyw8mFGGfkb61l$g8|xh@*|5qbhd@Chj^Vj3*b5Xg0_Hewvbt3ScTp=@{1pV)h==&Hi=z^|<`EIyxM>!II(>%r9+jrB(!7#c}j z+`SGR*KRH9U+0O1j{KG9scP8HLH~!TW9Ta17UwwqTOt4QViVMxUbP$ChV9_^KTho$ zP4Q&A27U85{(E4WHx@bxl7ox#$vOXdB2aH?*)8aJZwi3xg&RhZz5Rvv9Z~Ho;+j+dAlS5w|-47jE^#>yz!982q5I1M`LSOrTLY~c- zYm32?a^0FUOHo%M;^|Q0@;0xB(sbwg&v#}p?DO7+zFOB1T&ABljJQgd3i{rMR?Jtw zhhL=%alh&YgS!KX!(hMh8MsMQ5An!$y*9(|mVB&J{0Z#M^Tk-lTqN%!s&{ehJN8bL ziH`HDmrv&YK8!yvZ5qtyjhpdx{xK`;MQjYtY5Gnm^krBR)UE7Of%E^Y0rM#d9mV0s zJG@_b`{VtV`2$>)KiU-SEuM0m!?R*uc&(>xAnw)S{n~5s81dT@$wm^lJ!&9MS!6b^ zV-0#>Uvu}9u}<((){psu^;Vzdc_h#9IbVmpSw}j$)iln3+811h0o6xF$8ocS&sX|L z{CB(@Pmmw=c_sTD9RK&|+`Gq;y%(|x+~i%3_(fP4?A;&SUvV!B@}p-r??Lu1;yBy; zcEYcBcX=!5bh-jAKCj|<5(P9TF8VzLm)j>X{~>o1;-*~udt#}C;O0w`hCb3S7>zub zqJ=Q8#pXs>-$Z12_FLpF>e;ol*q7zKO5m#0Ddbr%8i{kY4Q$PRr~SqCR6@@U ztWz(N<0;WD{7Z;f$r zTLxm?Qz`g;+$7}hX8MOYO(`DTDhurG(v%o4yE+}_sqNZ?b;|PjR?IEd1O2+25#06R zzf-Gkttt?ATgQT%=mW^Vx%Ci!Z9(2=&64(r)7$i*3;aHr!FjHC8vXLpKSf=sZT+Dm z|J{oC^~P&_ewbN_<2gErwrtriQ`#55#yp?G#rn3_Izai=`X~ilm8MyTny#& zgJ?et_AYxApC9UEdPMDBNJU;BJ~qR505$k`=-ByvnQs*RVb>!5{Jict#><39jE|=0 zKaN4aytQkwo-1#`LgJOqa# zL7@WHaWSUf31( zsyqLF%tVLrxb&~b@rUv6$85TaOGwA=#FE?`H9E;x0Sax!F`4btw0=m;k>o zsIH>@s{>zplV2|n&m&iMI>uLLJTjT=&6CC$FYjdsaCtds3i1E{_kS}3-cmk) z>m$|fqYn1EDfqqj0Io|pane2Fy5KMq9d~u}OJjX>5BPTiCTbq}*&lo)cBRVP4BRXE4uo(#3pk>A0{R`WI$+-ky*Dour8DPx_`>T|Dnq z*u&42`^5b!o(TT*&QZLMo#FWHp9^vCwuC}ooqWjq^0|}XW{^9B36h{}L?M5=;#&MV(=7W(^RYs_akTp~ZJ%dxS#W(cXHR*~VR_F1?!5=+VS#L>i;wS= zk&|6obCi(kOxsgsBMdk0MR@wNQ>;p3$vh+ z{Qvgv3&xo7DfYlE=at8N`rW>=)ypzd?EAf+pM%$1h<3Fk?uLCYvd7%F?fQ>TXg5=z zqg`ZfM!T9g3hitwwaXK|9@@{Th-9>z&3R;}- zec!h8M$K;8SF`U5+I2l@H!lOw&XWDnE?jay@0;7c@iz6}AQ0mddHY?3|5ECo-@kXy z`szp1Zo$9p^0T&GcBjv)`0E&-sqLSR_SbtH+pgA7JAYe~;?G<8j%^pwi!*Gyvx(Y8 z-SdB0E+4 z<8W%Ucws-!u3y3D*{fgZb;P4L(6g6kY`gIPp2k~z3gvA{ZTRVfVXyG{p$lnzQzoK+ zRyqTpXBSg1;Pd-;BJUzk|J&A=#a7C|YnR0@@%bgu_`EKdLgSy;7oQgmZ=FJWi#mu` zoUMp?;cL^;zu4N4;?JH>{kuf|X?=Opkyr2!Si9AJULV*IV&9wLqwzWU{3x|A>%ASi zB8}(SR}tch&&z<(AMJZpw5*FOH?Yf-jV;hH_afaHR%(eDCUl5mV+vS?xSU>W5Hrhqz zlU*q}oO#}$_^LNVU5Y|(m~U2xFSqR~t~|KD{^Ae#$DQ6_xihyM)p68Xn%5d$%Pi-~ z=P+NUFx8vc9uWr~R0?{>=?fpx>*GetWn@9}pBs+)Qhz4FUuNBhk3PNt>zxPu7Gw4L zK_866X>bsnRTwwX&BpW9W$0Cl`Zw%*)obx0==Y>i{Ui>(Zn=n7ODvaqJvi%8=!)ff zcD_){&8j9euEjCPgZ!y3#wA`8X9v!Kn=T2_@Tt%kdgJo|+<6wbz;gYrIr;ou3-e_1 zZiuv;e`*ab7LEny@76)ji@Jfct|{Q6L6IoLpG|f8Sgvm_0M{QogX>?z@>(vUzaxF?&zLXAZ^C5jFK1MycxF5V zm-}0_wOsE`fL^5Rp?ORlGRgWlC4VPga|^hmo{zPhCyoV|4R3)<@9#!it^>P(tD9xu zuZG8cZ@KCD6}U4!5^>6RNweIn&v!wHhdX{)cOpaAhJW5R&JH1X3ukkIo<2hxaUYb1)IWPUGQ|4p1<%p1JlK)yDk9Hv%jMQj z;HELvm3&`~>TUBba2B-&dResiQmYrCk>s=T6}T>VJQDubFM_LaMW_z5)?i(zQCq>q zBUh@o$-CyD-);+JU$u};OX4DvZN23%jcL+iR;7V@C( z?WFnI_q(t@Y+6_7)%glo@2vLeSrn%)xLHz+>h@HWX~o zttFwCL&x;Bod0zldiL{XIzC<7%^WSH1eyb+9)9U+$wqIv^9{8BWXV9-0 zGaB=#1Ib_L$>2QWA^aVk4|+YaCAeC?Ezyte?h-I>Nx6O&f~Oye)61x z{1omFy~rv|{Z2eU_kl_27_Zzm4eNz9+l2eAzES}`qQ-FSSNh02X?=|QVDkUjAL~ws z1|XjzAJwM}=|Oce_TVI|R|k8bU*{67Yu0`X&K)+kI=HTsihe~cPwWFa;$P}_@b_5n zs>z*D>%%^Hg7d6qI0u>gjp1(A-}M^e=Tpm59$uB4Yq|caHH|lUFV0!kZmJjfqk`~Z zm1>@(uR0P1(sHgFSHvX1p(UIyGW^CNvyI`XWZ6-K{&KwjdlhSUDA{yQ4i zxQ&R@$!_6qedGr^#~qL37#E+vi}IYY8*v)>p6bD6*AhEkXa5y&b$=N2POs!3%ULMH zdNgTWs7^8pY3py64MM*r@Cf2jJx(D%BEAlMME;?ON1r&k-TIi)wEsI5-H3;`LOsZp zR1a+I*W|A@&$9mf=i11F2--^Xl5{KB`UtO?l>Z^a5I?K=Zk5%`xT)w@*Exmf9`mB( zPOEojd`o%rnF1dP2x}BD*PYBFV1#Ous$kPqF;IO9O_nyDp6W&ORrEW@ zzSqOLYP^>6L%&XydWc^Pn*AgAt-{c&;|1Wu)EDdEb7=(hCX&;yO&68sU5Jbn=V zGNR-Jt9Q2KNB((fANcbc=_^xg|I1yWH`Ti!5B%i)P|Ml)Xv#z5k;pR-8?YSxR*6D9 zPRK3F=dE2mELXLTfQw_f{CaX-_`eIF{2bm)`_)ecr&%s`{sw<>xD)d1%>EB`E`x7T z{CkR{T}?a{Z2d)vO5ob_H_BU|iO{QWPM}{tA{JcCf4$1;xla=5=We)a-#P-1^wzZ|KOg$SnK{NIoL`4k@)D>;QZo4 z56kt@X%y$*mEgncMR%}VUZwq$x9tP2X2 z-nlXe=Zh$sdrx3jF)q{kPx#0iR6p`gJDT6*%e0@oEJ6M5oCVG*rOiQ{Tgl%ze}Jni z%Ldzi#lZZ?kD5Wxn=0YeW~*0QYf?NdXkN5;g0x&Tru&r)PeYx{f@N?YV@bV`2i@T! z{GF5MhgpA}IvqaB>kT;1>Vb1XtcXOOo$M8qpJHu(wEp_9YtWklolyTObXx>`DqJL= z#{uAaX4Oc`*{d_);I*r-*&J6VYbiZOJ z>mwfLd_MHcPt?WyI{%ge7oFBdL!a|Kv3(V*-&0*Zc}@4yYPmjNevSDOK}UUUzoIbR zKgF^e6z8la@s^vbM=8!dW5C(DZrCT)=4Zs)HwPCd+pMyBU1v79^uLV#Up_5N^;4<` z>c`ZYjegDYx41{?S)Ga35R&)jP57)TQCUh$o{n#S?J_dY=BOk>$>_pJ-jwPJ>?F?nV1>#3yhaJ|6R^1`fh~ zk`0>!ZoYjC&SD<4g3rUd@K;|%QT&5yAx^Dne)+bRI7ir=M+>dqxYGWneov$Ntn*)} zn~lF|4frtT3Lo~UsFp=RmJr*hb5pOAh>e`l1aR#aJ`?;?FL1MeHMra`6Zx0f99-9YK>V$zr`0=QpO6PL=NZ-) zV`*V-mN)N3`P6Atx1Bd{1V7k}{MV*Zop(r`WVt*x30(BZr1dhdY9Hu-qJ7(pJ_#-> z-Nm|gLa45sd2>nc)1ya9j*s$fguFQs?T8oa*V%GjxF0zG?-RuteW|_WqFWn^f5#b` zm+@Zo+*E^}YxHGbtzNvIq41coVEsZcc)mE3au@l6um-{FzDp-f2!g zsVd&~Yig2SEzEuXebfhB7NPykG+Ivj@$QQeXW{4Y(Ou~KOgX*9dhq8jD4t{qy&PT% z@i?QpQ#?m!(s-L^`?}fu92^hMep?UjxJ34}KF*h6MSc zm1C@rXjqSUs{!C9iH)*ceqRgwk4nBr^Yzwct@USaEg#x;*5M-6Te@GAeXpx_qW#L> z1@Vhs9k3soJ?Eeo=UZK~IulvtXZy;B?u1@GS&V*F+hu|9IeQOWjEw}BixYz_S0hWp z$26Tp@lX0d_4!Q?a5c3M@%l-)514A<#s8cjt2Z@Ufb+ZGfwR-)=fMAJ2t{{ zd-(G{^xVw~o$s1r`GnEnGVn|6W6Zld>YooALF0|x53UZ^iL!c;@*}uNs!96vCpec) z|1{!Tyud}Hs1U1X6BiL*w3GB>66ad3*K7mlv-W|@TE9-WTx}?h_)XE=?_0*+qx@%d zfSzrP!bb-Fi|13}M!#ROvu(j0msITM{6ZA`)rt)458C@uxb zCvE-NABCWIg1aIfeRbw=%bglM!FhluxbSWh0G|f2;OtP#tMb3@V^aiZXW@64quY+AM8WpUG*2% zJ8%Ck)N)mX>OtnYN%L57Bh{4;aaC~=#_JUN8g(W2?4j{yl8Io6%XI!OA@e#oI+OU6GRQN# z{towcp7|JDM;wQqm3of-M~GYCvVZRHCi7QxpzKsZw&=^R?|G1KZ6wf_YMY^*U!UW#q^kGxw9q=T!>k?r`+^>Xpy-2HA>h3cYrD2E87fO!}2?vA@Yp zYid}%Grk1X?S<}$(}a%kam(SN&2H#fr!d;z`n|>XX1Ztx=yhD+6|3WuqEY|mMjde0 zcLCOm9)1D$WEEZ-oHtFux{%LYh3%Kc=H|^i5&1ON7JX~|Oi%hfSC6QR^(6z!(mj74 zaS=}6_sRmb!>o_$OZ&h6=h0>Rd9m)`1k3dnx^IXXU2a;=j$fE>UyVmH;!*QX67Mx? z6+Rb3^}`+y0_Srd%&?rFo=E!1{pdVht)ea0*SwG)UVb3*seIy5C#J<>a3|24^46{f z){$!c5~StNgufydS}FL+!I8lPw%c{5 z^+5Pc-UqJF1c2+eH*inmZnVBwbNZcHZR^v)>Sb_g=*7zo7_aDei_Y=J?}7)`01XgD;2*#&~mx75S=eC z&cMgKShLsqsOY{F&!rcL#}x2&w|e#_cR%mH2>CR3yl^hdU4sy(xValXV!*W+>!TB? zU)JzFt-EV0@Z7{YRi^b=pfcj*!-``)^3!yFsbUpq-goy<*2ifmX{`_CB?TY-arQRLWq3C9&aH6Te?AV~ zWI0=Xm;6N%>fbq=2_GGod;h8C?O2`qvKsEO`gd2v$p`ntxKyR!l_@#xru!k{pOerp zYdO*vyi+>-%^&Y5Zxge%_0tQAfU95rhdk&3;ixxLm% z_HEO8DfTP=It=HO)N~)_(>K6hwT;DoD;v=|(h*r0mmKqGD}1WberqOVqYn9*Q?pWR zJRx+yQVYu>9_>>P`El;kbBa0NADnN=i*rqkpyx`n=0|W*?yj;v=H)TO&jTwWKeFr1 z(cmGc!C4i04q_LFds*&`y9ur?)9>%bx10y`u@AxZ?D>dO3_I4}a#n`UM}3bGZ~gRp zw;Zet?K7q&{a)i#Duw;cOwIj&s`j)`s`!nF-*jyafAQ%o)f>w{()#GTgNU!V1TJg# z547BAa2TA0{)m3{`?NlYXXX{mBmZt2)m5IrIIB0h4C$-ne$PK+ZHU#IpEJN!);i?J zNt)c->e>Fv;LhG|G`~aht+0AklHZ+A z()aCr@>tX}zt9T)`s?YGxBVyQ+I~e%I`{RPNX(1#@&@){Cf-4BA}=Ez_IuF{RxkgG z2X~qUQ~l(fjyiGnmczLtuD8QHn)f2n>QzU&zp>D9;B0XfJV%=rK8Rm-e}efk38@h& zHl8R&yuxPMPYR~3w%i2A)BGMiMfto@H3oV)4&3zX3NE6XC0Nc<>0as#c1IoZGcUTj z;1yaIE(cM+mL8^04pP81Mgxvk)>Ko|A{=uk2{u@2VsdHDs+1q9Ti05k$_=rwB z$p6}l(Uv>yze1d9YCZVNR=06)as1+-H&5w#+>BhbC?!YF&$*LNkxI0_-kyoI+}T0< zKRd<#}B>XS5 z2bVuo1?MH`cWO4E4LA?$2(Eg0<9?zB=ic{8~eX= zrvaXuO#K7koPWT6u2ZsNtdH>R41d$RG4x7BPqThH;sx;*1#qr8Oa7RKelP8zeL1}v z{LGzvxW9?t`%}NiGSDtm8qQOlSPkn_Jjp`8{Ka3=`m=lE!ByE3_?*rhINAF167>Hx za#IKR=+I7cEoUEtX?>P&0B(Y|EVNwIet><)3HnU_X%+p!`&^^_F31)B;$s22hYZR6 zzn|Fi@N>#~;2d#0yCDC1H{IXNzE9!s8Lq2&c33&uJ=?a{|9e_*MR^4 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/16/9.npy b/MP_Data/pose1/16/9.npy new file mode 100644 index 0000000000000000000000000000000000000000..d5a4353cc0f2a9cdf694c26ca8e46ab47fc2ff48 GIT binary patch literal 13424 zcmeI3_kT`F*v3ciR;*>C9&JT$yOvcl(GoogqB95~NJu0i5k`$p5~4F}a5e|=xSJfHKO>s)i6d+sUcc_O}J*ACu2vaxU$RmFc$=)jOF zzc^Kz3~pGZhErv5aLDM8{z3hML;MF>-n#$r&_S6zbV&b^gEFt(>NaRluSV4xPPFsC z{gp}kN1wuA0>rFMRT+WB|h_tC!d1=?BK`McI%yHWq5?VWqJ z-CVDJ#eT|^vuKy~v*P<4f_CLK811^{1+=qa)NZEVp#BGh;rX;Uci#HTrPROjynomF zstF<2@Tn)Au??T zPuD%S*ZfeAi}ur;YKC?-`@h?0A6J*gZ`w1uFTvwKtCR61(Z6_c)7Wcusx+QkoI6L) z@uJlmd%p?2Nb!xofKO5C{yVE@aT%#-pA?4Y)r}|OerMb``0>^WZ*99%cMk4j-RGiz z?RkUlzngx_w#!=wDenaXZ&+WmWZxZp-rDdl?tc(V_aDB2=a+Rm;eLJL>k-?oAGbif z{8~MX3*S*5e(bmx;#cvraKBSD=85%nZt1u7Q}6A!!QQWa>=|vZRnQQ`t$mK5T^)B# zvYgdlHx2rmb?JU5B*R|wm?-35{`s`3y_Uy+$Nf&yLbQvD({-Uo(4M(i3sZO>46A%u6w@C!R;Xi@Rmpb?O+pzd`jJww-&9K!4)9 z5)W-VAJYo=o7d&hF1$ZrT%30=uG@AwHt;dx>~Nay&v#}C;>*$fHT*sM(frx*9_>0| z$hMTs`&9lo#AhBzS^>_y^PRU` zy}L0EyiRSzqvyvW4{T9AdamWfdDsbX?!9ZC)$?~Xp%-uOg3FdmW>_wx>VxyeWiao} z`~uU#hx|MHoPvh&rCx0_=H6a_g9&sqta>unS;?bL*U>xNm zzgCuu(JP_XOLt-%`PJ+rt-oA#1)M)f0(UM<9%8xrE0FZXZj-)T_d%A6L!RIwyd?bj z;35qyXV;2=tMus<|Cf>z+%vIk9)Wmx)IiKTv+5Fuk56Or?~(u?(_wLh)vLj6X+Ccr z0Uu{uYNF-r@lkNStpT{W{mU%NMbvBfupAFi|7`EaDC^I{pHsiG1GtNT>?HYJ)vj2%VNHZ0JmuH9D~5+Ll;_4CKp^_xvA0N4^NSSEl_c`7eh2k0uG0B|b$E$7Hz!i@yfSx18keaJ5vTTDJqG@@C5>;N z(2MRiFUPtqz~|b5@aIRXK`(n0!+clE@`F1^kAW+8sS$iSd-$))-))D# z@a;?aZ_*t5k#lA~^yYR?JeLT#fbmsfDdb-|3fx4y##$fV)el^64}}kJRkye0&gl{0 zjP(L{ymX-DZ0Kitu69?E2j{}I0LxVY%D?ln7yPx~FX&fZxrzLUG6s5funpER{q7{V zuGbG-92-n^)ytp8Wz(Ouu1;M&(E7`on)*Fe8hY-!Fv{KXF*M&<_YW8BH7i_WBJ_9n zL(kTarhG1)9|rxl$&|O)Z-~eBkF#9$ev9Yj$*WQSW>keZ>!Tl0-pr{RG%rLX)_-+A zf$~=D8_NIDH`AUwzSMGlVKec9-$TzQ_CX$;!&J|_6wP1xxfsQH^(*w8 z{fp<~UkB5^lRq6?^-99Npl7X&wEnDL1~}{gJvi%=hJ8fu`2wzA@1=f6U8a4fFZs($ z0pKD}3+VZ1_P{;UP93fV&hq3$J&64q;3H>xf-C>263=^QHE|!>@AQHLlMv7N#l!>W zkpH){r&uoY&LjT$Fu44+CG;|?H8_v`5zousmxZ2H@3s^!l57k0(!MMYaIxhk9CP1FNc0jrvsQT>Oy&}Z)(EE5X9-*nc_KH z06t<|G{!|Wyn*NCr^jHvm@yN^yW4*EmxPZF@W*;3X8+t1agOK?ZtjL)-pToiR9D_1 z@Mk4kq8?;I8}uu`YX>fS(Y#ir3Si$cE6RhLDo4>TU$QO6`pb#`QNQ!NFyBR)QCQDa z?_S{IA?<@^)Bt}Qr?`6&@v~tikq6#0ZK~y5HKKUpcVeH_wO#vxcg+JIXH!3LC)69~ zJ+UVcdLHyU_F4V+CDe%urEz3;Q;|vTmZQCYTDQO%jCQi&-R?)GX44h%bg#Zf~#(85vQtu z2J3*cmFBzo_XwU#P3nO>tFS+4eABbe+uhsFv;DHX7r?b=f9QF`p;3ruC(U2>V<)PU zREGV|e5HNCEZa}<_nM6T&he@SAF;F#;^98&8?BER;*U6;CC$Ov`-vlM{PJ(A2eb2g z__Mtoqb(QBt0E6#@Fv7#yjzWfPdu%Ms`)^w=XTdI@AR}V%KyP5^xjjw*JkKlexm%8 z8$&+rN{z5w_g@RnO24Cg`cz(N`{jcK`c+@kP`BoK+5)R*U#Z@lB8_o=V{hG+i z`c*E~DgJ8f*MQH+OYzsq0Uy=RWx3_1{6Oes-3o|@tv?Db%Lh?@+9#9$rlx_=zsipF zkTn@b{zWb&q-6T&;x(Wb!`mPa@`u3jma{VR;crIxQ=S94cze@vXEJuhmx>QDQ-?z$Z77<*Db%=)Xx$I1U(3*=eNsS{`Q&fBYq$HW()_MI6K zmg|5r;JidCo=ZQhg?XXIAErDf#}Z$2ViEcc-v+&E`YYA}sdB~Ger16U$OC_r9sYdt zs&M$XdPMOrraE`lUHjQ`lkXe&$PEh5t6i)1vRve=3U2n#0GDmOkZ0aK5x(lL_TZx6 z(wSDz!m>lJ-xdL9O@D6<|H9|duleWIWnBL=t7A&0+;Lk2&Q|^h?#xT=Y`JI_Mtpf$ z_~^|AYeApb16=R$1$Um5>1qA++?t3-SGo=#T_Wr^%gx_e?<4FK#j`(00QBohBR^(O zWvc&E?{L1-*G3|K{$Mwa*ZA(Vj|bB}=ty_em0C6;-o~ScUxwbP;|IMt(;52UKmP)RYtO=U@8ad?-$g zfsb7H2ArwIQ>>5EZaR&7qlJ{8_ubZ5u2boIEIH{H)W2ErVoFLTH$P;(?+h3OF24?o zv0V2#3V&95J-BnzpYo#)fSZ+{z;*U1(DQIwpLzLdcwX+jkF-9l674U#SPSUY@M_>< zMi_j=Qx9KNmzHBm{S8Vqg zdWf#P0dM0Dvk$q#~qt|^!U2&H=I6vqIRG+MMQH+<`Q5^5%rft^wbM;Nc zX_gdQf#({%4?gTr5V%aNh;@<|egW=mZ%q2Fu8XXm^%xH>R$Zd~>&9c$kMU@W`jNp= z=+{iS6=C(lrv>qpQs7R~KFVjUXYi3sZfC0RgTmG{HW?t8Jijc>Fo|h=jw4N973~kN6i> zq&Ppi!ADMY4Y6F0qV-Uw#$tR$(tfPBe98mNFWJ63)#0(63$32HQ=CrgozN@ZZUT7C zU8KKx8+vxbWwqt<^=-tXbN2%m>CZ-_WOANJ^O^@V$2jt*74e>^_bx-6&efdAn>?~_ z8T9ufz&6U+V&whknzgR)*`RCL?%ccJrFQ0pMv0S@;rS*U3E6gvkbjBoi z+izoUaGvuxp4Vw}d9~%N-B0A7`v~e>H8}+KfG0n?e}wS%EM|8^7&b!K6$t=xR{b1TrEue+3IzrCNz#u(h#Tc zh{1akt3dBH`Z>Kf>8GVI?^G{(kK-l#kp5laMb<~PIt+j2n}Km*rCVTJxVQ%{^E9J* z(R0)at2g@(fjjr;{Z|Gx0hcdlfty_k(DQh=If%0dtq(e>4LBR_whG+mHS~IY0Jt1m zjN-Y}2At=S7#CIfH1=PWcR1+}tRe32?qz+P>JnV$+Yj#WB3K`sGHoc&B_hDh&Vb?W znR>atIykS~1Dt=oH57boC9FT@#$y__4fdKRZz28F*Wk`kXDRf(KT`bDE2C~z zNVN_rHcqcW)NiH2w2n3Ih5Bc;`+@W1WN_WH1K!8YSp}{OyU}|1{0E#X*xaM!6WIsc zY5QZe^;cu2gUgPa!A*_(Q!SUz){}qB?cnlK5A18&yAZ`6`7^Do2)yUYl}WG4_+!oCrOumyEhKBTo*sdYMSS zQ}WG=;KNSk$9YvntR?-?7L+$ngY}$w&xXGm`QV!Ml^#QBd?(TGAk1?nxN&W&tiKbT zo8l?l7V)Uty9E0EvpxBE^aj^CrvzI+y*D155BcSSy>>>tQ1(;3B!6=zgY$u zyk@xo7ygYgfAv4D=>5I<8{%p|jeFXYk?`qzjp9*zXneQ4>SMW6bRgo@ ztTS{2^rqx(>bK32=_#3dR_J$dIVbD;oaH8Ia#O#h9%A0Hh@I4L;1J}Q<^R;z`lvlip_jql$g}gYF!WB`4sfw44L;^% z35<*0oLPWc7kJTwwqb$7>ei7|f?KRpXvOm0B)rFtZ|K2REYX07P= zFO~QZoJDKs*<=@5=civL?oYp)=uLBbApXJU!Bw`c)bFCX-EAJYdocOeJb^sRp|i1% zu)WK`P4Fg)$FKHi>%%`qf%A?uj_kYL(sGvUM?C*Y=$+)qY0&HOLqn{;YPB7D(flbmcR3RdzTg13yjB?g%q@MaDhf5OL4I zb;lUY7gatT{%lnlnn$k|W4`NCXScg&+Bif0fE8ZSLcZD>eL(k zR_+3B^3BA!n}Szqes!mD(aB!4Z_ax?!Rl45p3t*${-n?L9(w(m>dKjvLF-$al{L_B ziz297C#e(SbUw;~?lzvKo2lPtF{lTAuN?BJDtbV#vPEDXu}^WRf4$ocTqn+?b!o*r z%wJuR_CZr$)4bSPyRq$8e@}U1;p>o3S;%|ee#`eaL%;G?b<8g|d?Sr}Hh1Dz>HA)N z_@J~tERfcJdGyIS8@IYwVz}jU0-ZOsUpw0Ok1d~$_6@rcrzv|J+}YA-k>#Qr%~Q3s zH|@Wja*wrKM+Vb#HR*=+Q~CPNgFcw@taMN0Q*N7xeTp}jg*e&R0OU=(RmVJ%|GlAp zJ5_*Q-3eF)pEWDMc}5!=m!9XbkBdfv`fas>^l<@`5zoWV@YgvL!FA#DVV0}X+bBOB zN0Yw(JeH;6}(a`(~&Wm}$2AqVCnH;mt`p7yy z6i?mvh)4Iz*&aS4X+77oW06lMy(r#moKQc+>0C^PkM!6ZYkkz-tbS#7%75pj3#<<- z=}^CqD_~ym7jMuno6{ft>T%^L4<-9Z>%;2y1sC0t5x@Ta+%oH<2W!gD$1qw4N`G2u z^~R65TvFkVy%wP}*4j_mzY47b59xb#71%k+ay{Z-`0$7r%y%Oz{0g6t+r$HQQT@+9 z0Usx!Fu1zh$Kd{d3nEUQhyGqg?#}w1wEUQa6x;7T+P~OSLVq8|E@n{P zK3rASPl~+oXVr@$59WeEz408kC_jhlfb--wtedjRfuWc~fk%ue;JzpC&BKBmNe zqi#q2mc9YK=`a3M~>^9Efg13TRtnZ5F63w42vi|zxc;c0Eg7f2Uh|?VTgM4Z< zq<9+t8HsrM(s`04*93Q}bscB97#Re;ndwISfRD7?oZmFxo}qZeXbG7W|x9-ctw zVSZ^9{AFA;-pklRnnxz}CF)Ae+y1-tkzZzz&!cCUM>6T~_!P@4)A>pcEP{BPHOa`2 zX{exA$J>L8TZ<=Ky;@G^NnLpv@#T}CmsR$W|HR_RkMlWonAPh>N5JLltoNY%jrv;7 zKVKyMk83HOzg&A+?v%Yx`lK1)`t85npzm0e^0pucIL|Ck_e?#jleL~Su7mYTtWHDz zHTwxZ;@vx{=e1)f{)~p;PVTd)D|J?5A6FacJm$Dw0(V@Ngj;`EV;A)1J^h^k+xS-( z8;@Fi0rBYDTd1x^yDYPMU85NEEaxrqnOJk`{|W{&ldF$>AxCpV3Ifo4ILvp?v(!JGBKxX2VQ%p=~&K<_-I zzr%4Be)Y3@_4zxB|9t_9XVAP58;>*I8(cO%N%hkr4f)Xxih=VJD`{USH}|+bhp_dN zz*XQOaCQDF`gN|-xkv}oI?Nx`!h52gFbDDIx@Ty;O|6GmRL?gW zf{VA|h|^p-J;lbUf1rI|beoBK5Fe^w9ahmFDbCH85s&V4LqY%DN^mwg8hUf5DE2`< zza;HHI8byr%IgdT@%(r!ZMl+k9#igD!9_>EV9QNf);!(u2e|ZYf%6-i?SgSs zUbSglo*v!~pN&h9AKfnN_wiEeXQkMFbGHXqtRm{rF)1|f6s`ZF;X#axb95KRMF+Nq zp54#-91vle4{ME=t z(97)Yz~z@d3DEyQ=RN0qeLSz}{4mlz(?zJ89--D@YC57eEh5qhTwwXzJyO1B} zK((b2#>KQvpmoV>_Dri6(`df)!GTn7sdZ*q{{R2}Z)Sk|PRD%6{QU~`sMj=_f^}vx z)iJ+Ce<#A9XW)AY){A~ucK#`N&(@83es5w*=BE=>2kWf5o^CAX)#&?Ay@<}iDqq&` zfX6??S-mM+A9b&9X8rE=*CPqPgy%F*JYK-h@$B6l`o^2FF7p!(@rp6{UPyQI#Wl;t z@X5C~gTMZ@2h&-F-$KWSgwvV!0 zvIXGmIrYyf-352{tj2tH{-*zzUc_>-Glb@qw`osF?>JlyibH)*Gos7Vp7a_ T>u>g)2WK@4f$LlWAu0a@F>w4` literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/0.npy b/MP_Data/pose1/17/0.npy new file mode 100644 index 0000000000000000000000000000000000000000..9e9f814360d1ce9937f7cde7cc5d718a0a1af5fc GIT binary patch literal 13424 zcmeI2_kWH_*!D+n%Py;z7;W|5$;t?^+O8VC3=xFrL`g9s5uG3seXv+%Ma!~UW>@bd zYP4Csce}bLbDVkqf%n(v@yq?WzjIv2dCocY%5DBHzCX9^nvMmr;IjSvNBNB`+klt# z>|d{JC0@4wu#uxj_8HoH*vNkVjyLNQILbejj~du#xPR*Ra@Fh9sZptXB_7KEfB$7? zjM+l@?s%ns^3D6NxKA-A{y}2ur@8d?x%+OLEJC~PaqS}7w|2Yl+C>btv$pB)IxfW> zw42ju?a|aO2lS%$wO^?{OLsiaW>UME-0rq}-aM;#$$he_1<`I-r}+n7x#c*2=!bT* zIWNWEl;)p(5ZdLowP@F`^PydCp?0z7CgPjG&6nXXJW~=={Zt&a>nfN3aa?~5L;rQa z$&0St?4Wj4<2L$lKHRwGbf(YAJ7`a#cAKFA^4FI_ue)|Jpex#Sa$5Wew;zI^jE0Zs zT==+qp8x#?^<@{sZn$>&Y5?*S;cd{)0@K<%c|UdSOdomXK25*>4!P&;i)-*@9?z*? zxh&f4x{kM8yMF)VvD1sN%fx$cdV}Y;=D+URWtZQsy6?K?9;!QE3%z-r^&Q&#$5Fhh z%aNxlU;AG?AA8%P{qk2l&)Ocv^ZZ0S@-Yuie{k)(QVu*XCl1G_K9CL1i|9MZPafTY zx--w|$luIOzVG~Hbm@=odE-Bj;y*lz{`2=!-@113cGykVE@Q(m?z&TYjGKDU=Yeat zZC6nK@0#Ix(flho>vj_TSMAcRanJJ#7e+y!u_E$N{5G{mW?1LA$=yH5ed+^i@w_-H zKjZs%o4UDAwK=7R`xJ}I;d$G7DB9VuiCZ1#b^J@aPxH6~p4UsJr5CB+)zfFtn;jqD zG)n!>UX8?e*&-snNc}21y~aG#ZTBU)b`?4u&zp&PGq`qm44rayb9!a;@ZWrI#kEWhpD~m`yGj?Ts>>^81cO; zV&3wC?P-3unls9JU4ZY0Q?4tXw9+jQp^!mdQa1}S^g5zR)*4d8BwabYY{5A=^=ci!D`Q|Ffhwc3p zb>M%lLci2I;$r+i;PSg>bK#S(GU=l~fZNM*y5nkg4eIalA2CjLc<5B<*VX}-dBefE z8V|jUX#j3JULtuG38>{mmZWa&qzP&WF{ed8eA@1s8QPU_FXy1(A>a`WfRWUT*bvdigpIK6c&# zjHBszbhz_3&yy(bwB5u%EDdm6`t+l?9*@9nLWu#6>%IbV9cYLfoeI{3()8OOPH9_&qZTMn2YSSD)xi^DTPle89tbB>k0~m_IDwIOd!Fa+3HW4sH{dVqVESzk#bp&A@f;T@i>Y1vr~n z4D(7UtIHRAjqG`oPKPmwx$WmDAfcw^0YR$zWV`*|#+u=ZBg= zFDloj^}h31DE!y=1y|$C(|)o+E`WYgXK-`qBK-Lf-+7L+M&78WXi^D!CQ5a5T(3%^ zeD2ac#}>(qJlU6_RR1-fG0#m@HT0JcEk@&Oe2}NwHV*5^6rF(l#hu{uUa7vObDst7 zlTD>OSwk=A?YV~2kWY=w)URAA;Ii3|UXIKE@=!k4m(aKj5AF(mtxfRf#YcgQ=vo`$ ze|JYjP3nd*a+aa9MjEIQQ-bu9i@JM2AJ>zh_Qg=dV@|qqwyc@xy!=@_FBP_s-i&s7 zwLgUNe^3ORMYNp z_-7gMQ!}XkA$_3N-u~b$^E~LyiaMy9$P^5&_ALh&dN7?MvuQtJMTdd&eWAl$TswLr z^t>d^TX`aGG4eSR4=xJUh2B1q;f||}7sx-N1h}c1G0Jg0?JKy+MC)B1^u)QqE>Rs+ z(NkEzrf}T}@Hs{Mi8|E?oDa%^@sfXkrnp}%{Mk#-S@7Tdh2lm{2j_c_(7ARlEpAd9 za5*U)b>nq6P(HDPz{QT%7)ModHMlJ|nfy;qo9z5${W$V(x((beZykxa9cccu7LUNq zs4URiKYYmNKwFHX{_FugJJ|yBK@RyD<7Lg!crRCfwBZhcEdTRakej#z%~cZ89AG?1n$)gN)XQYoc0G zo|#5M&j&W4`Cq04IRAVGajoy+DCf_1p627FAx4OcCM#9Bl2L}`Hq#dU7ljr32B-Q7Mp5Qn?_lfFI(GPmDtP<{fETjWC>wE$E zh(32wANHgK`9B##>hM>K%7?l9)%PV(2iAB$ z^5IQ32P2=)V@ZE~9O`fPl#6qEGh_(Wx#E>;PA3<4+3Y@5<7&|J7Bk?({z(iZPWy%~ zogF^<)R^VYhgIp0xU$zjw7<;@SpdJ5G|yRvX4ZYz?@MX-$-nkOTpQy>`467G+HtWk zJ>@^EFnn0S6H6Rdv%5ntGgU`E@?OGH_*EW=JWcCF_^aMk0~|L=4EJrlaU%Rh(L&f~ zc=dA7OW!`o-)yZrG12+|G8O*jWDx4CQ{S@?w{9fz5hY$wJ%{&fi?|Uxh~G-%uVV8! zAGTu%<#XvT+Q)wM9t-~N0Q_~;9;mY}a~1PkeLhF}9{JF&*5?@S{H4wh&O*;ozs6=F z{gZu&t0I?zv&J#8PH%E=hhFT8Pj=tg-D^`2_je!EK^^}F{x<8YAlI&cw(wzLDd?9j z{j>_68K5j?EaEZG`N-El(R$Gr;ctg$^mE)kPCJi6KY`0~0TIr}9#Ax&LN}nl z_H={QjHQ^_8f|7Ok1NathjouIf&rh@C8*>OM7;fKIQ*;C*u>Oa)Sluf%Iwk?5v z*`n#8SHIFdP0m{ft`|=YcK&MD6!@s_{uFoRfDp&+#UOC&)eoFqp!XUzjqZ)2hA;6v zGs2K(LTS=Ry}*4&*2px$aXG6bjn~0t=&$PgW{j8P-%p30XKRdlnu|3l&ptiCSq2Z( zU&W+rf_yya+)<(qxPAGcgY(g6=>8+Kx1jvfl^*Z(EMFPKm48(PmsP)+1AQ6NTc7XY zBM+>>{Xs|0KwNW~W4w5YtplBpdiXE6zM1y-$`;L*Ij*C3gNte5$lva2z0h&F^f9>d zZv!qa)sJ=D4x)QCFZ&qh7i&`n^T%eTeTHS5O7rv6%5hH5zBZzH)uRH4)(()B2-6HmW4$GxQkNovN3Y#yx*y(g!?(-hO%04Ef(& zN#j-HHuUV!JNWbUABg9SqIr8F2;-~!r2Rd!UOJ4sxE|o+e0Yh=6t`v!<+K|UUJ;KMIg9pSjBdX~m_{Z@>xXm_xq zR5GflVuC`Jy~z;V8_K=`aQvh1%vY+yf9B>)|tqY{h`2Bk;gPH=URZ9fDPb! z%Jor*d#@0<-v5^L5obC(&cFQ+b+Cie(|q=+8t&!t$*c}cU%aoeskd_>_C z=;fb$q~qoe{jOoAd;m97i?(-MHcf!u)V>ZbbgAZvsayoVBmVC)aK7Mf3-G@ypbnx2 z-QV;(`g@l-_cJ*EwE)Fk7T3_}ZEQ{CDK@1bPvJQ~-o+J#=)Fdb4yXCwJOJklySIXT zf<{1Z_P4@1Rek;jS9x+nZ+;nxaWO#_+%9cTK3k70b8$`5U!)&a5nMJ|0M1`bBmesG zk~J?GG%WCpbT=Rv`bb&&ek+g!uR_$cJ_C0cS7gW4{u4BL<*fjP7sx)lP8Z zwHbA@yF*CdJc;<|c0tZxo@h+tl`<7v2J*qq$LuWy&PEOZw?B0s=r}813j2?Y`-nQT zmem(KA3eYBUDvLo9?(3@G9BlyUgQP6nA-&T%id$KABu%1p_jVNdH0-b{QGbCJh};b zb&mcH$q#-S>p1hV;C$vv>53)}{maTSoi@v4XYL{6uC*n9yl{d=N5GC42xH=#PX{pWqK^A{|w4&J_0 zhdrJV$iGZ5^k)A=#5Hv$&v#rm{Ey;ZDNg(0_=Cg1KR1J3zD$IVs8%Q%{@vyXuO zJ?4U!>*t6AQ{AU*GZA_bdK~js-wne#F2jBWmuEM@N5-@RrD)R5r6`I%-h$HBC5F51&-1>La&_`yWeBSvXA2F~?cgMB-g?M55y~b?6PxI}E z7;sy@RkHKt5uq#Hr`lf=`RI%JG467}hsn-ITnzLol5JDpDm1iMnxaQx?{I@lF#?! zQD^=3ZfEDiZ!STex^)1JSNiAkoS)432RPe*13q?{){dLs{orG>N1(s#&OOW@9W#&k z**V}m{5kr?!u|l~mFRaj_Btrc#kE_5z)h_hRR0Rq@P1^9-6H+->+mss=lHw0dT%ng zKKm71oLt$%`N-v`iRU~8u2qbLAdo1~s&Q84DW9ZF=5#VZ8 zJl4Bv_&xe7L;$$BP47D@+W_eGE=k;@4CzxkMmm38a~=6C`WN}AiXNjJSI20c@F7{D z7jdCu9Ty>q(Cdv=$S42m36ArFC&Ag?p2Y9}j5^4c_rXoz3al3~x#KO!KO;+E+R z&Lf{rbb6MlGkEInsl>NL)2sRwz~!7}$@t#5!zB3l(m7~{T{#b4dEXbrZFLWM zieU#)Pjf6KTVkq@$l^uZw<*>a%N~q#L{*{v-1LluzYh0NPR}=cLvL!lIEQ%GQ?PG~ zk#x?g#6CFh*rDWUXg{-)`djc8xXF|u&T;mI)~N~{LHa1436AUL!=V>_hS0wHe(+q! z`J*m~%Nh^Id13xyxL5O6Qz@UoVARb-{TQ2=s<(eUhmZcP0i7>B%3*)7)t7>+9DTuA zWN@_ex0!oW+#(6!_E}&A@|ph;{v!V_;;k!;MLtJqKFgi-|4VG}Vmcq!&^i@s+e0tz zY-;ZG>RN92@Q1spzY$AjCZ=*T?_bL2ax~_HS|pb{y}i5`oQM2^I@o;P3*fV?D&=$J z7tA-CC2ocDk+~zlwHgE;d#OVZ{Ci}ebuobc{}gY2dzW?_Z{7&Q-I_AV<+UJM;}K%!fzb*Vcv-1+JXgWADgs#fzz|~v>wF|p2*XD_S%lP zdHNu(%v%d}uuBWjyq(kooHaa3`Ja5c1o`+T(75cJjd`nM!dAd%#dhKa8qhvAB4rKu z?c(UK^;-cSvGT@7$JO=w(DMZv`v6Z4{?&2$G+Nk5|GHr`KiaUdpcS1lMPlP5_@34JJm;(8%X+vor1v+JLR-Tt0f+al}B2G=zbP#@N+(@##%;)_r|zxW|f6Y&oFu&OwO^p9d_ zUoCJ1?~m;MTyS*|3i%Ft z@$v`cV_w}E>GbMKYj8Q?E}aVta`ksy{6TtUcEZR08(he7T{{$dz2!Q%nKcsYS7)Mm z!aW8dPkp62-8W`WM?Sp$UGz(j%ZYI@{RYB^T|15Zb?mFz&fiX{PI>-52YJfHwIUto zsvGHZt;M+L9rXSv4!k7&nHR{1ueTUS^Jt}?`tzI9K`6F%!(tQR}DC+!ah#;%9| zd#b0LJPlk`NDc&FN%v=4HVg8X-!G0xboqFOpkKDlU$mbWdl2Wim=*`Fm)@p&4)Bb2 zT=pISZpQe5>oeV!L*KhQ`F!b*`C}3$wf9QZ+u!J(X+pAs^UxV}9XI!1LNBV^!+t30 zukYfxK2@3eTlfL-bG=79E~<4Q{#$PNh@`*iy?YpqBg^xY{P*;Vf&a4tsE_{SL+hxT z5B3x8;|Cv^K>x3jFZ>nz4{uQuoW;}q#GKt6iG1olN1keD37Y3?_k}pl|KHz*3giaY zm*$Oeob5?_Z#w!E`=L$QG2C%moYtw>dl+1-%Q6`L4YDIo-m*F6nZ;uV^wkzpJ+IRH zxLEcF-p9?TmQ=U3buo^r;4!Q_xrFwA)9eC`*Mi41E(M!X{wWn`9Tn9}6J4Hr>Hedy zJb~UO%vj>McuD81-Src#i#7-8{cF{a@GFRN7rJ}mtT(if_Qd!Tt;pT=v?MvSk1dufK#oB8c% zyt2}Htzs9>gpc$3zkmPhDqxGz?*t+!_K}+hHmYg|{D1GSg=jrgfA$dkW=rhb{DU{` zv#|lhOD5nwPL~{teUmqp;JoLN)rqc}GdE)Y6+TnI&Bm z-hC5s#e$0WU0m&d?^oy_-lTQ-HuD3=)$C`#J1)!6@1VA69JuhExYcph)f4-Iiq8Ze z<z{dtfy=Bl*Ezi|bsllmiV*m)MLjk-E*`I_b!d@Zx5)A@J4B-Nqj7SzGqc}Mvi-bnn&edyVow->xp zpA)C9l282HHO_~h9)b1Da@K)fUA#^D;=L$t-+jb8(AMBgQ>wwDcw-g~=8S-rPNv1D9Ed! zQuw|r=-x2LHoZ7j2*L(JPS@tH{ouCEA`kO`6Zr)tI3;#0t zuHduCd}>dicJ_D}+D+F^XqP$TsC_-P%hC4{U!_jJYMb%;?DQTQ%~={-nKhqsa>sX{KB@IlK;H4pW3b3QQNLv z?5X`O!?L5_rthEBel_8$ZD;dqJh$y4z8N_0apH~r?v#(dVB7VE8Q1N1Jv%<#eyUH4 z5ufi?uWh?roPy_=*E@WQ<^A4So#-hq*>+ax9G+KM#6>(`;04A(kGS-&ZC6=pQ(Vtg zl>hCf^!(|)muWq0K7Cy&!XU$FI@8lSc=jEH-kKzAuEBenm|Ge487xM>>vD{otHt;+GW^st}myo=&L3eCzh zzO%VKZ(FWk{r7Lvj8EC51^Uh9#H`$M@A5PsJS(KxcC&Rnp69c_p`E`UhIo9+^?SBm z_iaseEB%GqtDJde>$89{u6ONXbt9vxH={lem#z3 zo$ya?SZBIYt!0)wmGZ(zCiI1my8aCDWxsEv-#;6AF?139b*CHPtj3}%i2I@EeE6^G zfPRQON5ECAMF{pz|2}Zw!TV>+jC&2l%a`WIbxFWb-dJ|ksu8+7*YBg~6rZC3YnecZM z{EyZmUbZK=33>#*I#!Q(`*oy$Gd9NRd6$OZ{OD(JcBEW1cqQVhUKHkm`cgB@a&zYg z(l_piabY)dE9jRS^j8h`rtw_y(1oM+td1(f_0(ivl7T>ZN3T6yU}`NPeS3t2ft3V zT+KX!b!z6gsJ|)CqAfQgsh;xvW6XbX{XND@|MG;!B}X%wKLPdQY+Tmk12`K_^Ge@3 zFc-YhCUC(QK(F7o#XJ=cJGIFBz=a>D+KfDO}m&v;T`Mm1|E(4FkUmwpBYq>ns0^=g<6@#Al z*wn#tHtZbqs#Y@j*FKB+&rbgey*~0D^IXo}G8Ov6rHDUuAy4tnZ!G+8O+fx~YuF`M zhOOB8eZ2j2j`ycLJJf~V>0SnPW_5E=o+=%jdHj;q`sn9{z#ab(s{j4_-th0S1ODu> zKe#i^eY5rFVKLD2vHj66J?R$hGldU=s~O?oGNj^s>mv&E1Q!zn;Ugvm`dQA(jRcpk zdeJ!U&pOI-{qH-(<@`3);l^F87n5fo`N#qAH_uxlt}L2)FRS$wdYzTeus){gNz_f% z2mt3RTVWp)EBaGC+a1Ebsw%ekwR(AXKjP}|%TnB$^}=12x1jZ|Km2#me&_F&PKJN{ zKGH``L_Jl5lcBa2Uu<{j3b{cV~7`NNbCAR zAh_e#8eD|l543t7vk{!1{gKA;eB-5-tK3Q8CXCJtxy=ppQ{KJ+E^^TNb<(#^N8F?@ zq+jro`WwXP92xNzoK03Z7i5*uX5U>v0v)t@a)g^!vYIN$1xi^g46IYe=9 z6vw!zx+mbnnk#VU#boGJjsoDS)ne>R`t4fmGa}|7){7HT9{Zb<=nAs_x=|O(^I`$= z?>htgw%(mi^S@p=){7c?PTKy8DMjGJ+78Elr5jJ_WPNyKck(Yk0qahW9wotFji&yN zY=Zf~v<$XfRc{3@)(oR{`r9YEhqNq7`J6gU>vV2E^p_{Uf1h<81~ z^)gQ9EMs%NC{($owaCnWPd<2AKIL4nscD!;{{F`VWAfKWPu1@mmGdK#(x5}fz0;^a1eQ6wzH!^ts!@UIi zY5WEwF7v33{P{mgt1Xvd-$5_*ckmGnS1*J9a(~LxtupdqD_tv~-%01G`LGTCqL3H_ z?)x9*-)j{7b*K9aQ#1UXAIpQAIh|1lw!Bfe<)ZFv^56O^>a3FrBY)FpI_2;65OMX4 zZ{F75`M3*Q)_(*p(u>u%oHwO>bm@iIugvj0q1Ip3J^_EZyB+)M?C1N~C<2h6kna`REd)vxAJJz1eema{u_PKouKXdlS4HxhBZ+uld} zwEv*z6;IJR6$U=4?FGue-jBanovM=?`AGLI#Amw+%eB7;)y;n)xE%jJT(LB{42r5ov+}!jDLH}h39DE zqddvy_hTN`M@IJ`pS`}|PT@SrlSfyeI?i|iAJ!&iz153)^gbfXULpOtRl_WI{EDGI zriB;AMPDy5-^S(TMp1tc><2d$Qf68%O*GY~Pz%f}h--jwzO#kaTcB%o+}%C zSRcAqsMtemt=>uhiF_{iMt{w_!Ty$W83(Q+E@7UFUa82_9B4=LMr5^det_IF#CHq<*u{CpE`Iei}oBW^Urt$5cCaqq-q8@rI3%$Sa3GtK|J*TqxVX-r#ba&>ox43yuk$M)!DzX|BLU=(R%sZ3iC$=ha#@@ zX*<#SI5%CizJ?T~dDZ>s1o$r@fAw!UaC4;)>g-IT^I9%zhVfO+YGL2dHE3K+)16p% za!vqzOiKv_LJOe%dyUAF~^`(#CB5oAMQRLZ2t%1|H?^qJDIX9)yAJZ z7X9Vfn-SkR55EKG&Gfs6y0Z{=;as-I8?IpZVNg(%l- znk$1#?~dT=&_$ZJ4PLGSuTUL6D)9{FxhmxzY`M5IlKAKs#2X~~SZ@6GP~3~>!Nq8= zI;k0)U;jY*^|7S?GPQ~2Y)M7bO)cv{yl9?^ma7sS!A*;N;Cjxnl9rpn4JgmAmyo9n zQOPdLKZimuf__E)O)f92JE>QI%LerK6X)b3TBk2E_s^tnG%k!|TulC3l+P0mAK7N? z3LDp%N_xJ6-hWk{2H^Yv?QiV!66p2z_VgZl_A$jR*nxa1S4prwjJ*Ii3xH6 zszpoU?z1s2vgMHBwqJ4!y)T$$TZu;op>FaM?KASi32=7#7T$x*i_G7bCQ5K~Zz%4i zW~3+Tud@vV=QSRVwEnv4PuPFNIT}Z~{N57uH*c*6i2t0wKs8u zDCN^W6mj|La&hpf{}KM8%lEWz7s?)B zxoFUwd^YT(d|^ZULd<`$p%1uId^@;~eS!CJxqdmgiuNKNO!qhQ#}V>*)fe39wjtd5 zvl9{Ivv4!{|2S_t;?7wME^?8-dHZ}k^ei{^>ve(j-J-gnU@<}?=+j3`8 zYvS?4!FA7EljJt@cgZErEb3C{V9|Nx2UmRn7 z*lAD7v&j;w|K*$5hn>?oAKG?(<|@u*r*^*W&=;5RVTrWAnSY+4zj~H0xYH(cfBWCy zxv3e?n>8;fAJ2m{?&m-L3f~*)q|dPzT$J_bWw}c1NByeu5$m1*d{BbtSPi{+aSwIY zu~(w3KM!65&V8m(eP)DXo~X&2z*X7@_~;{U;a0EqXmI(ZV4C&i0oljFzkM*`np;0W z&q89b?o9AD()SBOokf$o-Qm+Yp7K0C0C9P?#8~SiqLRT`tE=!)+XgGkr4jJahkm90 zmOMSr`tYvvz@53{h`)Y-ez8}(NbfxhTsPQ<{GHEZD4*A5uusZDUbsIf_q*UC^$_&V zU9Uklu3DQ$K4~|=dG{~E#?|l7lF$1s;D(>;V)d-eFmR{WdDNM&j9LW!)WzWZ-%Ze~ z^mDjBu!-ZqRr3^ZQDD>*t5;RJlfK$XaMsjghULP40=NtwPWQ(37eg)Q-oeDHUBkK- zS+UfJ?ui!(#O&@yS;mcpbU;o@6oL~8hxH|i}NaWLW9k_Uz2JZZ? zAI>#LB$I#ld&D1J!2L({I|R;(=0aTNQEj62aR!|Nm$&MItHs5Tzmw}BxOzPk>xCV3 z$bY0e){zsDg!Qf}rR{Xt{@&V0alai$T;b~HgE~|_Mm~$qfUBQc4zyfGcLL|R=V08q zlLPa|REsBlD*b&^?kp>jXXhT^Y-IrStWkdGozFXoKg@}I`1?{ttX{?iY~^H;mh zVqNINyFDy78y>*lS-pzt8MV4)Y6e&J8i4D`^|8KWGllseYZG@aOoqQ1kw)ucYUbaC zv%R_i->`N5*2n2V_YLKh`Flk`%bB*_@!N$wWy)1L2hU7jWVs$r>r}QI0d5Mmnqaw1 z9!~vQF$DXk^G8XXv&yF@@>H7!06$k2HyPx{LP>wa6K+61bo^SirZF#^H;fW z58;hM!1;hS^7^ff2t9L;mmdn5_SQqB;ZSpCTu*3Sxunv^} zn5>lN^!qK~^Hb)2zHl+>$wC8$gJ`)J}SHn_F)~988=sM=*@tr1y*n3iXkpv zT8Gv}r>BVP4DCmC=vEbVU?uX?ydBmX+_|ui)=S%6crVj=4$!z%3CFy3+yhtI{GE#X z!P((T*x&SR*ILW@Du?1eS_mKEB{oC zAGs?#xbZ1Nyn3Dp#0k9yA6A2d>mG5FEjN=4xKsQs^5=^ev_ss(AIN79{oO$ikeKJJ zE}d(9%QfWBT_4~hOS_5Hv^k5gkS;&SiS$cMkmPIcHr z_et|_W8&S`PD1`M!=X1j>VeC@vS565r4;x(D+<&6Db#Qo;?9{0y{fPc-25AbeZcv1 zGdOD&3NEh?3AK7zDYHJy2Y`!}pP^S(bHZPq7!J;kEkRu4Q~$5;H_$6U(14|iEf<31{7 zw$+P=w2o9UhV?6|Z`fqH^qdZV9YVjunE3WG)#`ts`<3`T^Bj*#nrb;evkZE+u?4N) zp-B;ztJiD6MGyL2NH5<^`iRUrZz+KKr~?tBt={CI_ZpRdC+5Fa(E}}K`z}yE;j6(_ zxwpb{XU%Pjn;1ph{jdJe2hw|@@yG!#FSjl2vOafdpK&%fM1S@E^*DF)fcd`#|hG>%#5 zcX(&y;iXp3n-qYLSofHG#Ks9$&&JaH*A*6`KCDqx8OznRqR{K4UbLV8y%GDcPNaLL zcrXL|k{q-+2602?LobVG!?-)+ss(}PX@Y!|XCI803M&)t%J4TW|AwA7$VdBmY+P@v zce)pXUbM=Ce8l>hfmW|ebfA9Sx=8Dy$9ID)7hwg6_oV;7$D-y{us%|SgX=7(ss3*V zNvl_DGtVRCi#+9KhWQ}I&!Bw774*w|DTMbgQE&u&SlnLZuM=A0?+)@g-A|YaMV_WZ zcbxC+2A%t+@*J8ET`S@JQFW$sS;yR?{`zWV^O3Wckbk)d(l1S*dD5=%L*%=z8`is; z|7Zig`%*ofVPj|?D3?CWa#oMdLGkn>#!H0=Pe&V#L9f>^mQ=WW!G5E;AWhPp#Ytrvj za$zoT-qdTX<)R7Q$DG&)@YjzIj)s0Bty3L-7@YkOjQg82$qnPkSqu1>vh*IIz2m6P zFX?@p<=%()ac5O4aIvNW=Aml52>I!@yIi7(1LZ6}gg_1|6+5hkDjM_!}#kE2A?7Y#{wvV^- zN}XO0u4iAqW4UO10sFarlpkCyO2_{1tjROa>REC!`44LX&Z9qJ-La_;@xIDp8-ugN zml4*_Jl&m!&m2j#Z})F8#QLajgP?bQ9zeXvIQZ+J)|aea{uW7mUo`e%<$3@gxorXb z<##3&y5E!VKFlgN$GIa8Yz(&k&WFLI-<1p>9kUwuF2|F8Pn4f`gPX%G;*rm>+?40h zY^a0U`=XEKW`1_^&!3;p+1@Q?!GGB`;%?n2?)B!#U#>U1f7bC5YsPqH*{7&^`7qZ47?uT38#(gBk9ltadab1Vu&+nc=TwZn3ywv{#XnEsc literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/10.npy b/MP_Data/pose1/17/10.npy new file mode 100644 index 0000000000000000000000000000000000000000..c3f4db8d539b8cd8697c879df32ee730d6116450 GIT binary patch literal 13424 zcmeI2_kWL9`2UYlt29QdYP5&eCKanj$*EC$&lq)##E6+l5Fxkwtk`W1 zCA3mXs2ROut5sX8_~d$B`ThgnUq7GxazF0pdEKvbo$Ji|&U;?lE^XQeWE0_HeE9)^ zq5VV3*OTSH460MUiYy;AB4l((-{E~mgbWBI{&nA>p@Eq^bWq=sftmLe{A$;(UZr9c zIZ^)q{^b)w$XOp=_s_g~t<%rr`qlM}!5X9KB&SUbnjk1^Qhc(EbIB{At)D3+MwJF;Bv1um%E!iuF>=MS}&B#K7Q;!EbIBk8CR)X z?lt^;7hjai(5&*2V^Ho@+=+7CvKq?mOfDDOKDbHGtI%F(pQ(59bTaw%Pm4kylWj%;j!JHNHnH7`@Sw~Nc|&?k53 zIk$HLd|c{~qbNWA8u?W%Q?5|Cy}k_P`km6NsodOtgK|5j(S0hH`6cefw;c{qxqemu zF8Jc@XX)zZt$ILLb?4u6C|`3Q&$-kx;I91hr_kpedy2|c-TN1zueTY`dqGjCUsd_? z5tUn?!5rU}^LSpqUG$vvw(!O?RIc}j;dwo^ZyIrz_b24h1w=fda@VXl#~VHtaj3mx z@VuH_7V*jZ-+T0&nOF$*tBJ9=m)@Dj^t^ZYOFZx1oV^EKWX3aG!;7X-xk${3epe?? z{6SndPUrd?1|xp`#uv|}c*Z1oTD)&tlcb@1O+ z?>3d2Mt(eQ57a{3BA=R7$<7c#hIknBaVaHDt*q9&V6QMi+=ic=O?t0i4REjbC2(D1<#ggUz7FdbmBPGNp+jP! zU-l*Qs(ry_hal+P1_dq$B{9!9&hh&;2Djt$V?4+q)!F}LBXChA9$fbd4kv%n=wooR zsR{SXo^qDB8h!`u_1Cza8>+Z2>FW@pCBH0_!j!n)~;5M zxH-BEdi7!t`q7)UaTNK>+ULRbi_PG+?&e_P?(`6F_nrrCnvWj@zPA~;ZBP>a`u^3X z#O=L8tj{w8@raR?C;4Y`ui+%bqhEf5d1j985u_J8>q9T26L`EeP8dUaeWVTYrmqi! zk9YsT3gV{zF>rP93vgNM>|66aG)^f3PAUxO!*zg+VO^_nvEF@D_flJkgrg|l%# zzPZRep)JOnxVw$xY!wf#a+I9|pE@&`pT7rgr`(GrZu_1FSA7J=mCK%jab;R>26rnz z1Gk@g(ePQ+jP>pRVSS+mr_EEuoj6mE`$;EH~zzTR4b)HopgdQMu84((B0H;G*UM_OI+em$=uz758JW zf;^tH)$TxCq?~8{(zWpSZsg(hq*Vy?s`=j-=icJ2Q%LXfmH{{ZbrGjpQ+*t9nHtIQ zFAP89pLwqr=ATbjcRdjPrhH}SMX5)akKWXGIsUD`a(gS4Z%#fc@gwFDW06nq*)YWE z#vOpaZPbyujMzy2_R4(dUEXfouGeqTzqaUMuD4M*xIWY{p8P#O&W{@%#{IRaMsMPx zSQz_!)eBsm=*07-0`CJ}`g!ERtlm3>^!hyK-=63We^qq|kE=21$d4GF0lj=w5A9V` ze`8))gNw2QzC}F$^#_;L_hMaDLHh=RhbE)FZsEt!tJ_T?{4?t{3$o_>ynk@MP%l1> zBE9O!=L|hDjQgd_kkO=<&!X9u6{T==v*0xoO+!SkZm zE?)oFE@j>*Kk{RhUo7dxlU3k))(FmjPbCliCK7-o_c`1I9BC&=^1J z`B-q*r4_imP-GbCwFCCT=!g1ow9H{8iC4V&D_= z4%P?R@jlw+&W`1NY5N*_Id?suAF9k5OM2TYJM?063EoF?zB2| zgL}WshTfar2J=yN%F@5>`qunBK(=rZv=Tj7Vn>!BclKK5M>J^)Q#(Z(#eS-DP?(ZB*{_1pB z=*`$X@bT89qhH*Bi`?EE5tuJ--kAy1UUB;)_^9@QXKH5FF60+ z?J*pG=|+5hh+Q#?^g34?aPJ(Sm&EhzSO?UpGT=JT5!5TE?3o6C`JC&GY=-%+=YJPT z+~w&7uGiM#{qgU9{rri$KRA9@oY((%gQpU=mFmOaElR>ZYs>!81Nx@9*}qv|<{Nx* z-gDiDL2rIu%lmBCuDpMJG96s@Jk0w=k+lgFk9_Al)NA@JL%p&?W1Nq@-?RMxm<@r(~*eZarSv$rN6*ZW^~<{QooAiZtu4{j^2LYyvX z=WxXH*>;XU_Gh%q>z@sIc6E{vr@QqM@q5u#X8Tk8&C{0Dyg!R~J8tsWzOsX~^KkI5K_dR@p*7`JLb*#)Gx&v@Ult!sL8ulyn{T}8j4 z+}@ex5x-rtV-;~Tv><%+u9uka-kiZp;d6BW>yti3JSJ&5xT!H3@z_0E;4crK7!Ln? zxv%5eJ&^O?F9+5cnfr6rH~1QPkoOBkCTG@b{pZ5ps}#t2u04MqJ+GgCi+IfWbkr-K z{MMSdEOh`}w8`Qr^(vE(nH&m#IcOQjpW+)v+`D!X{$iv*@~r#T$Ns2KT!G&E@EtCH zeHr~FQ$OW6=Q*^?_#ec)P)m-ZUR87^xbttbnBwu?&)TPAR`B{WN?;ujdpaTy>d7n4 zkK8bh^lt4f_VG#K{!R2NNL-97h#JT_wVWq|H{=6k9l$lKB~cpwc!1N+2_>*Tz<9;`>gIT5AAX%>hriNxN;upW!+2M-VyDfSKkeTj~dMTl#M@w zctrnt*xyx9)_PU)3-pVv+7|1HC|!*6Trmt>eDT#3ic>F62UpEcf$Q$?ccpq&#R8m% zz&Ol1`>^H@q!;VUL2tIS<-EoFYvML?3Ai}$E5^Af&gU_GwiEK;*(2=#<=md+FH^JD z4c~jrqtdZ2$lGzqvmGCY_S(Nku7ZE?Irv*$ALC!YjG00{cJ(RdpAQ6gE&hukF2eXb zfVs5++?;rcaqEpsf!>XI!}Dlyu2}f&+X3$7nS%DpnC&qhLqaz+H{y@C_i zXY^O>^X0Aa#LW#pH@bxC;O6}m6Nu|Sd7PWVCvl#!DGkOFcL%E=&$?bD+Uxz$X^cPd zm$TuoKCFa%y6CCA|L*Avu8-&C{AX-xMLzOn1CFy3uVY@&m3HK#-r@6)DN+vc$YUMG zkX}VpL%n80K8~|;zB#0q<@h`%ioU_Pl8qJ4V_qElsG>gTFYlQfKtB53e;kiKk2qzK z!0+MT*n!(g!OTa8EhH|!c?2#5pA%&6V62~N^<;3F`!v>nH?ZPd(%X!77(Z?ef6vqN zYJ?LvtDA$1^kRs|Tx^N;P^CR&pZw*)#nr>1q?hY?zg8bB^slM$RWE7>B~A3ieaecN)i8YAcVEh^O$^=lH!$ zMW2P4tE_bzY zq_;=rAWrQ+n#Xg(iSfkM;CA3Pk$v23GaB*Ck>Kjk9q7GnjRL^ey~VnuJ3Yp{^CrC) z<)7)J7k37C-yY*}`}3KV#AV&u@DV;K82_TZPY7{SJCu3h8{p>0*&T@6Pk#hA&sgsk z-)@mi{*T^*t75V26P~jzadplQdA51@{AOy!e@)y3cLsM01@vm|)5gT@HU9qWg_xR?)|^>>VhEji^+G3_0{UK zk4pTW>h(&nUI+2}uP8AQT$h;xy$GJm^JvnTS)`Y~kHJk4f6w%C3|tPM($B%Q=m)(i z+6eK;IDSvGPbcwu_{+*bYL_iO9D19&0^A+l)*e2~qrheAesEp6<{08`PYdpsMiaqJ zd|p16&f@RxqG(TW(JFc%`I~+fvHqBhtK5&Jx+jp2^cvhi`4_1eKQ`~cZ|PodZ3eyi zr2^tt%Y(5Vs`@9P*LVHSK)0;YI$X=`fZi7T7WLX1-NT7{<|fx$VJgReZAt`jQ};vo zh(W`_yS;sdK~F9Yf7Prg^e!f09O>mxUvj(R>wtT0b4P>sm<(>u_CdX->g&10-I?qh zXH0%x$J%Zi1>U0#^L?w}V+K#gK4nkkz6rnEe}LO%+t%ZL_)h3e-&^1^Tb~5t!uKu5 zU!^3ktN!gVzf{r?=B0CD9Wz@8@%SG%09>VP0(Tqx;eA|n{Q+FR{TST4=7;l}h&s+b zPr87M-%C$S&a76CpT+vuKd?{h`%{U#sLkMBiOuY@wAonVYEvO@@9=6^hxOfAc<(UH zzJ^|H&-$L+@|zW;H#vD+$%p*jAz}uvB<`(`fsZP%;pisLE!rY~{5x)bw)?ZI_q(-Gt&TQ36F75&oa-tPLx(p40zi+H>P z|3WX;r%WLq@jM#b4%R$QPVV6G^Q$j>)Dr%FZo`j^fnV46Fn)~P#{2cVUADo$__y#; z!H;>I6nq!$mCpjfjpFZ4ddmcSC$u-7f$PEh(2sKU4AkpwxyWLLN5-UMZLQGO`P|f&sK2Re<<2(ZqAxO?REKgF)wi)K5E4QLtIb) z6aj3x>Ee!wzJ@N>qc;W>E|A# zw_k*@Pt&aLMdOkdk={L8&iWtMLhs%F1m^*7w_*LiJJ|o5ZHDyrY)|HOkAU0Gkuk(g zo+;p__sBn~K6g2LDE#|O0(XaQ^1QC`g7xLbf{UTEz`g24v7XrA5#ZkCtoNPpZ=lzY zg4pLmPWGAG72{u}@%$Cv@i|TQj2cDt>H)if#a;kx@vtUqE! z8tc7!@K+U*5WndE5L`T(g!v+0oem)%(YF-lkzF5)bwFf)v%^0Vd*>YV^2ej7SNXit zhV*t`D%b0s02eJn1Bk2G0B~SV`S$)9O^IqWIkqfF;o!b~(`BuRE za<7MBoZG|ve_q)s6#lO2+{xslm$2ScxPFSBSAn4;h>J8nZ+Nl^_ET5x)HEu0rG7#@ zBDVuKqaqd&7x6q#U5jquvUB2C;`%`t^k#i)teO(%S+WfiViF-W)S)Xq{^rBJ{&I#%RJ`b4O z-+^0ypK#KPu&nXy$Nz`5SHcIwrw-3k8CIM1Klv--&hYP`bhcI8-tMLOoZ03L*PA1l z$3xD4z9+q^$m^cY%m43lgXhcx|Ktm9Z*|?p2OmJ7$pMHdR?0|Lcpx=_j{!gdzIIJnKFUzLA5vMn86MRIz49?ql z-lt5s9t?~AlI8(9QCSAeg=GVf9AEfz(@USY zx1(M$;Z7iNJL*sP=z))sH*bkpL4NY#d*H53e&j*VABFK|>Rp4styvjdWVD-v`uFj9 z*vxo__|-XCg8a3gKznu3L>~WsIW6f;GOs`4!?TEA|1zA%b65-1oB4k&=80<;lV0VG z0#_#=BcHayH2An%JkH(l>fB!)7epYQHF1d3)TqGmKQA(YxZF1y+%@6vKWc1ML)W_$B$mV0{Ky07L6sY8uGcq?im7ZuXPF|E-rI^)a#Dm?oNqu@F~E* z6ZB5^<1e@=z|$z$fl+94j9BLVNB?sO$^m*+0@^5HnFW1{~d zv`c?pf%ly^{*#k4!!ZZ>T z-@l4}F?GHM_x_uGo^)>ZZ-~b%c^5wV+CuiPl>_y9zC4d~OggvgyX-uVLb>1d;yW0J zTI`%idGL-e<~V2h@c#1G$CHWMc5A@h(AGSEySv419)|75K*;bnLqUtSsOn>)tmd{aH^d&`h3(eRIL2!BuT`?XP@_JhxcUf_Ds z@0|afdBcgDefz-OrSCbOY12B9kND;+;t|=Fb3E;qE+M^sT8#Cn7uaW4RpeP7x(Y4} z%tn4(xDUpI*v8-ay>%_ozh>R%3&`JYIU>G{C&@^pBD_DP73|vm5AqcsnC`gq!+Q>z~y!R?jg?&nh8#2|M&O5E(7kT$rv9l z$cM*K?*mim_ukg$491!4a``Ha5A8)@-7^=i@H{Ndzt=E{7cjp>$=cw0)C8>m@?LYS zdv0+haF@{%>$w^DKIWY(+=Rzvu8zDPO+VI<>QPg8oia0j!aA%T42?)8ewlxNEI#D_ zcdN%=;l0caYKe7FT>q8#7r*N~uPpayNB@pWgZ<* zL;V}>U|zc(X_&ueAODWZi|Y=5eRbO$@{vXNLN9Z-;P%ehGn%-%eepE;n0|cTlYbS# zcNmvp!0p0luJ`Cc?C&PJ0k{e&hV?;rnmHH#cMpKePGg-s}h1Pff^D_^94_!PWj)?1SFJC-aj32i-v1E&u=k literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/11.npy b/MP_Data/pose1/17/11.npy new file mode 100644 index 0000000000000000000000000000000000000000..cce09cdb3724ae37c4d79879f4823c70239a0cc9 GIT binary patch literal 13424 zcmeI2_kYe;*vF45N{wnMY8^91YSs*L5_?Ny);fwHR3su+a1yZ+TPg^0LhaSsEs;a* zO(Lju>{&DR=#%rg@)tb6K2LtRU-$cb?$33d>&)+cXI{HbZ989sxlip&@;S_6`c^*WdAGeTEG0pTUO@>@%!?#`_A@YuB#fS<#b^g zT#PYUuh1>;j8`%A>IL`8Mt;1WobjTL{r3dC|7x`BV-?ceds8MK+HD(ZH{$Et;AN|$ zU6sy*cH=|svfyyE%Y$vv&SvFCJ8z!pfAXiB?(?ifPqd2;ZEbSKTRAAxzsU6)u3co0 zK)Y3YuC>|pRbH^0IBmsumTiVVFC^P7YC57m9w&Jv!`xLw+acJ_Du zxvt&(xc@HNOVz-<(3`$T-pb2oUUEje;w8Z4glCusEa7CLn+EW^WYEv zoa6L5wj<_)J-H3sZ0Z^8+U=Ya=r#AmJkf7k#5g_MeT;l|^*HBrGNRT@$8E0!a8WAj zS;xioD&rj2suuNY!35NS|I-HjlIg@{&%eN}|NU7`&%_VV^Ox}lhT!(~kHmL8ApK?^a5HQrI9u3bI`kczkWcxKw14)NkR+4-g`CweQE~p(B=N?dfZnpv#LkGt>Zm+hYc@&trzf2#cy)!sVdx<)m$U+!L z);fC=r#G|qg6rJ1Xnga@c8;qoGr-j-UvTT2tE}^p>je3X`-t(f3;GUsT%>Rs7oQv8 ztWBQAj@ug=dXZ&2t@q)-4s-tU!9{SHXC1iAKY5Vj?1x{#^_I)vrsLQE=xenCw?2i* ze^aZ5j*C_Wz**WvGP7sHGdg zWv?QbSH}CpMEGoP0WNm`OY^P6-ag2u7Ud~E|AhScPf1v(>gY}A+0Fsr>W^#7pfB(U zbx_{FV_bO4haSl1i#Ft+^exuA4vnOB*F2DXO5~*Z`LI$fe7t*utKjYApS9dv$IbG# zs3&hrdgH&dgX8*}f1tM&mcyUL{fqg}PlZCSJRf5p(1i;{IX&A@7M!KjMxLT=S*#~@yCjHsV z`SWZeNZ-3XjpGlm1|#m_kBBR#rcoW{tsUri#{43m-9M6lwr&)6_BEyvP79|x zy`FIjT(0X0Zo{_Gyz1JY^fk6&U*(C5`Z+z@xR>HS{f_jPnvC^!KHjw6?PsrWzhJuq zB9Kp-fu8$?pq?_K-Uz2xMJE&Qn+Kd9YKwDB&3s4s-<*SaE~S|3eAMR$!Fj3Uv@RkK zVE-58mQZ~>vYEl1u1ZxLA0M)9d3|p=XnFgWDkq(T=NcvVp7gO^C~{ z7@Rw5EpaxjJMrnB(2G@>abK4LSF0XRLH+^1Bd#3j1#aFiQjUwzHQ;KYKk*%xA|01m zGtb|=k>I-dN~}k{^jGM`**{6I`$2EE(!L?RDxkkCJ_vf=>?fKJ3Dr?gwe`Rz?+kyw zsW|#&I`<~->5cQwY$1QP#TWjn@}n@94}Ulvadirv%lh>pjH9|m`-%Ga2aVUG!E>O$ zqA1VkP2h5AaT=FxbpPQ=bHVx7QP7Kvg`hVzr_#Rn{RE1;?Euz`s8fXYx7#^~JAXT@ zEA(pcXXF$2C&qY~@1ZU4K=M>8IIK51zb4~4NjP=fb zyMz6l*XTw4DnsWW8?>>n%ab?1NaGb-0CnKi7fu4N)qwm5|BiE31>f)KI9s2S`gN=a zIJdM;&{Z>;};;V+SHov$3t_$ zU*(?wZVn}eBA+@`H}%5`a8{{fPUoXa?1x@9li;>$F6lTMMEk$3L-$@0c(AYI_OPIQ zt}dbbz}zV813WwJ1Ny=q^h>7BLY>w29aNu*&yl~mT6`Ar*>;ZjxL(lPQiaBX7s_0x zUpB)$F*EXM7gx^gPH_uvN1lA!M$|_%tp*?2tsC;Of2Xf^K03=ls;8$HdL4C^ID61c#}8CN1vd3l-~0b<$vZi)}35A9&ydGKk@v`Q+sZ7 zab-ju_}kUNAbxOIe@K32ub)0=3K4x>!D#zt7^gLp29;SR^ss}hO zj+CZ(Ql>D*MHS42bHP}eS0-TtI3KYP=eV`8=$AZH8}mw@kD2H4k-?Y2ZF&pnbzM4- zbm~QL{pmFFQN?z^#}uIb${edn^EPD6OyqyB2>GN0gX;;MCOXc#Un3rJ0-SG{)yu_I zL-SHSt47nh8~1UA)0qhvVp@fl1!u{`NhQovOt&2w>oKkhTCZs;hd7wfB_&N_S)`YWD%4D)tz z`5gGz#^q2?k*^Hy;bOe5uM{l zBJQi|h-*uH4lV-|aqfusq-S;CVP1(t$+$nLZ{jGQh+G&i)qCRr#69^DT>Y0qrglT=N{Y;Pd1bP zGoI>p;Rn=Hq^`sF05)wa)h9IudR4!Jc6u|1?hpL&BATBy#|(zgNqTOT{(;~sEjQ+g z^qPk}?eD?hcE&o4uVp`ii#742e=>16{7aVsH(%Z%{}pF(Ug+0Zz}dw|Sa)(n=Sc62 zeAMaA*ssjtztLY7d2E^EVtHNCM<-*R^WX&-7d>eNxQ(OVWmKh?v`)WGCjAxzy$mSd z)a4_hvryfdMSz>RM_V|qtJMT&N%g_4Z0ZC3!cJ7r`1i<@6gZ}c9-UD2}M3ErqW%VWC)+<|U=VR8=J|i0L05?1^418;A)L(QABc3#Wu=CN+ zzNhi(*qQtr*^%%$1&4LuS`(Vod zOCAZI1MR`h?JVGW+GX4aSo_KF5n&KI#u}mgE7hr=J?= zxL#Hm{r<{)hZ+$HJJmDu3&i z$r*Y(eK5Eg@&Ws^`Ht>aBB(#OT(cbe8!Ise&*S!+Rp9#5x5Srw)BUa6ad0uYE$xTt zUB@|pHF736TepPteR528T+ZDHu9jx{|2Pf%m1;`AyYeR<*oW2g$9O(s{hCwUmRFF! zNN<(seDn+AqEcgU8~5Wf@PH_)!>Yyj9zaH~pW^NE`HIG!KUjl(gUuf~$m#9<4U}iq z>E!b~-)zTu#5#)0>r&jPTQShTnFW8IFOBwx*=I4|_yqbLM6n2PzOt!ydQT=d#=VRVpp*(}vgX>h$%W>6i0P@kX*RbBj%)fBX z>SddtHxJHG{eM4!`<_~rIZx^hq5j5%k4<*@FWO4}A8x`&H!7nXw<(8-d$F@Fp3V6p z)V+#x;Z)~G?@>=N=v%Bi9{nfuOh|Ah!g@I$R(~n<>S`0j<@cJ+bv~-)4$A+262)y$ zOC!#If$)*DdQpFu#?N*>d=UNqt=bPF{z{@>y3HQS^TJs03?bGFmkQi8%TN1!k#e~I z$W{-?f9z)H)vx8T&zoVFz{S`U@^ALItBY&jrV&4q2yUDH-PPsEkBk7fefLtGM=XkS zdQ&YCTz|e4dfseED10tOkdMz=^3QorIWEuk0B6y=z(wG4tZSWX66x3UyXNAtx6|OG zi%tO7Q!ij$>v^$LoR7Fa3S1VSKzz8ye!|+&@Ai5qJ@42uS7_h3GXQ#1=ndjZc^vcK zFq%KI?NM+uu0{y*58p}ojHBPD)#JD@$N8g!;Jg5RA8wL&j|TTm1=n+{(*E;i0_C6e zDY&Xn&nfonH}KcDiqbyZVj9-Fcye=#x9eAxebAenNytaV?C#+F#laKclF@UJdA6gw zbg^y};##HxrPjza;-NUBT_%JeY6NB#}?!=h)w5#}gcJ zcNC!cU!*bZOaJZb=k4kcL+gk|jivQItpw`HKlnm#{DNp5{k8-1UvI2Tyl@28i%71c zoR1z+2wdFTj&-4K*jg^G9Qy?M@R<3iCvO{)-|6K=UvL#zp7y;0$LJjSQM zk)oWBnooK*D?eZz$tCHC ztI8CFo^M^3fP7wSa6YOb`Q*qx2XVje2hNVo2DfkbL3Ou&U0KgrgMkyqu(7w#r_G&u0HEy$iG`l_?Wf3u)gfU>{u7_X9FL#I)1bB zv6VVQFN!`!J~D;3c0TguHu8BFMfIF;6X&vQ)1C61PQQaQ^@QrSlg=r1=QZN8e-dMz z51U*9ac%XlXuTZBz6Ei4=Dv|s2ywL!a5pZWPT2(I$lUff>zzBmFh_o3Qnm|FYOa z_?Y>$PIXa#3;%;5$WsJXN1pmz2lR`to;g1`Bd$2Vi|RIHBh}$TOn=AClq>KT-#thD zdD(Z``PuM16xTB+&4;)(m~TAa4f1*D0nW1?7?1eT_rZCchsa+nn^X<{Gya2*Ub=zy zjmu|IA9Fq#dUN~?@)wty;a+6EZ3R86-ir9M5(}KanGs1o51*o*rgt;s$v)6L7qzP* zAFGRvh5q;q%Cl@a$}>iXBhL@R!9_C;&U{8F$3>T9>hDLoFUfQ77CA0+WZrZ7FF}3u z)25@rD`w6^uK=psv|M418%6aIYuXV{-vhlG{}udg{jT6f|^5gKJ?30DUExY_@-q#_f<{d7-LHSDl^y`cI(={y^GPN2AI>=KNZ zEMLEgHv=~>V`zWdJp%dg;N0*rL9y^x zhwtFIOxB=vq@L3~U(UU-7IDYVf{z$_1@qAQM2%0*h-;G;lK+R#kdK}?1NE_AtRz0t z8{EVPPjq@6`#bq;oB=MweuSPq+e`Wd*-;0PEh*6Hx$jZZcVCIPtW``e#I5=d>3^ON zE++?ehraVYaJhC2IA74PD{(p>l~+2(#d@_8-WmSv3GFB9&yrZz?DA*W-}oJRj_X4`s`OjTbFsR4XQ#J4 zibBtxzJ=a?`^|9Vv%Dj?8I=URu28eTtg+? zRkRO?i?k23uZ|3Gapm*5$e)+rPy6jJRcTxngu+J!BvL;6>3arSv=RAN?u-7~KBXoh z?o2xO)!NY*7hA0l_F-}LJ^3u$k9_3058CPNj70Le90%Bx3 zd=J2`G$o&by}@PHyLgV~M>Eesc^BiQe3PSGzjPV8x7+>8Q8!lZ!UD&|m&<5;!~Q0I zs?Hq8&FUaH|6Q=1Ao3T821ys zg6@0zQ)Q~>=5J9qd5Qinlm|#~n^0eRyL@v0K>2t?Qhj=s#XhWlqje;9&&2q$9hQC% z4evzbep`a8xH&P-=l}oyk5-`EZJHk=Gyi|H=Zf*}|Gm{vdM>i>{<`7jhj=kE+|6g! zuMyUpY1#BT=HF?f92b2x&A&Fj)^RKQPjXx*jV3;)Af1E$%kbPPyUapdo8AyykM|q} zzp9!4XL)5a_F?gMbW7)Bqe?(;w$l32<(ot}E+W4o-tRu0FWb-JdChnX!hWZgk0$>& z`|?8AJ#Mg-0VDw^)B8d;CxpH8WTTD{~s$ypP1`>l;?m< zANrl$_RNZNlSTJE>-^coS?HHqSpfG#6?F293;I>m5`m4T}5}W)# Dtsde0 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/12.npy b/MP_Data/pose1/17/12.npy new file mode 100644 index 0000000000000000000000000000000000000000..03b13db0bb258314bcfac96777296757006fbf5b GIT binary patch literal 13424 zcmeI2`G1Z_)W*lYueEO-O2twHEsAC=rLo3ZqL`ErYitoBWDtT_V;9R%YTuVuwVts> z?QLw4T5kK=+DmEb&AE=h;QjS|^UL#jzH{BzoH=u5?z!(LbK7)k9n>|07%9e7>>WD1 z*RYD8%Zd&9)U8-mR_qf#Y{amT!9Bx=^$sQ8EM(yD&~!dLEM!P%`gcG7&pxYJwNh0% zR{n4Qata|_QjuE$>7V+_)fD;^pS-;8qwgo*J*Mxj_d2wzJe4lcclkvQw9D4qt~wOF z4c^}$?Oxt&e0}5h?c0WHIZod2JPbO%YTJ-JN140nWA^-dUvxM#;1I5li}Z)+hx?l>+tu# z&*RS>ltk@v6t}CWml(fnT=p{Q^zrYnQoGsD?V?Ey#BZOi;`XIsm#N*`!|gW9i~Dq) z92pHC{b1u!Tz@DH`PJLqRcd!P=A+&2>H9ski+BHV{`)unliKZ(a`sDcqM#Sf0Sol`ppY!_cpiuo!U*eN2&DPwA+L0UDM&{-}!y~ zl-li(7>;kmW%fCd_&4d@%thy@U7rfU^{&SBv&2 z*s=7fJ}-mo)u9j4@O|2U>wMI{p83IeZ4ayi1>Ef5(g} z{ZnjOcZI&o#m%06k^X6yoWu3zRJV*O{kzIln7>#4=`6LYa{lOFmb`*?Jw59+y52Q? z;h{a-Y3Oa+6tufaH~IUkT4&Jy>vPn|dx2eDu7VtBA|*bAsy;<1Uep_+~l$b?6=Vn4xhOiQ5)G z&mp}z*9rAtzTE@v9)C83+SRkO(7T?ze~BFN@ub%QC&5*}uIEYTeu$e1zSpvTS>|No z=2qf3;%--M#3SYy4z*VL8(91@Rz+I*7yifd+i1^jjCg7?>cGQD-eSZr1m}$)2vUskO zlSvVXr{;(3bE*O6#a(-{g1AU}fboiQ&B0aXfQ9hM-V$};om__ec(#@eNSEuKep!{^})aGkFSxOe93yu{t!Mm%2&(|EqNwiyQhZDo00 zf^L9&V>;F)?sl()-nH9__3qjq7)m~RUn;naUI(tTUK~JN6d26?c1{KN4(tsh?p16F z?&%`%H%IO_htKUo>~nk~;uKxxjSWcG%g5sok69Rub)_ReOQCh)WekAcemswTGUkjV zy`Iw+d9w%lz(@WQyOOxdcmiC1?9cw&`%EJ)u5v!T)Jv#;vASloFCBZq&v;(C)I$BJ z&)+5x7aKD0yx&a**R?C6-gL2@(A!K?!A)qM*`(J$#)Hc)x0pXY8wZ~dUKggqYjAme z3+hU&*aE$)RtoiIho(#W@(Y@Nd!zdL3Q_>s>bTjU}$m^#_;dvZ6la$-MK3>&-pE?WtYx zm;U*YA3LB8=0&Z~0ljH(yB+Cm(^Tk1*h==_f5{Rz!4X^!5AUPSt(zB1Ttru3E^8r9 z7hGdBaj(_{#BTzJo(o9-E{p#>mp)auzVLU8%0n+7@4)(18}cyke}wtn>4EUEC7IV7 zf_#b$W7`uq(Z6t=%=wD*AL_r6{Ppz((A&Iid0Z>bVt&1?N7!faU~o4$_Z;%E**HJ0 z?I8A9+ouO{b!sH^BCsR4YWEY?i;MdY{i>v7}O~p4|srp5Bdp)q7hS>rsEn_ia_JIDFicMWboFCL6DJ z@7tGrzUY^G0({0CK%A~ZIP$4uPYox%8#tMH!(7ber8(do-*Ehw5>V&fe`ONL$8}8t z_fDSzw=-sA|2KJ-gPY}_I8R^A`NZ)04#X)xbMUZ+8CBEG|YL9Y5Y68;r3LGMl#;rmGHLDnzM3~n3z zgnmt6cAm$tv#>s-H@IrI40<=7`*kNPvHnhY9QnH@+tIID+z4EZX>EvmH8*hlHG{#u zhhs6na@Y#yZ>BKsSQqQjJ2@X*MDlsr%kda_Fe_WLKFtr~Rqt9sukUn4J=pqHkx%({ z{?-7>XDvRrxQ5-pMeckH5$8KzU#>i_JC!A2Bym|~Cj8CrE{Ml=?}mAlmw7+&dT(X_ zm5s3Oyh-CZ&H`J&ZT&lwFy4!N{?TP-v%YUI^tyU6_J10OeaYqg0sY!~NmwtcM{(?L zCb;%+_+;wJ<1Ll}J}xK$^CI$J;qfkyzsI$8UV4*k_%_er4Cc)9|?x%%;%^FGb(&2>Gcn7z*P*dYx&D=+;_~u^58b&0QxnTCg2<*{a?f1 zc}=n2Rn5^c==bBE;5wov?t`xLk0BJNi@${UW&J{&hgUf!5!b~V!e2DrhWo6}&^Q?S zNjc#o(t??X_6R3#(*|?=vsbZySXtb^M0LIo+UY+dpW-jQ#FwsDTNBZ*Zm^L1Es+uX zhTO~kYIqE|N;@>1{N-ZKoA%a#>x2GP$w$vVjCj;i&H9=DBG2-4Zq8e&G{mDi|J0lG zwrnHj`<8)wp(6$p_xkZZ;0pS9Tw*2iEVBQIINhM9h+nSTH52i)y}xJ-ui%ex?co$)f(o#`?T{R*=a&(Csh z13Z73(RHD>sYBsozUt5)KIJwtU-uC4i?L;vQ@=8zAJ@Z$U3~7XacdswMczle4T^r?CdM!zQTL&PtC9sM0~uR=kd#}Uw%;sc^2i~pw3nE zYlugb7id?r%0-|9EC! z;^y*do|lTvnU~x=75uBL(5uJ!!L5JM+QePX3+Pwuc#d;|SE^!XAMw#^IiH>W0XK!0 z1`}5&Msu8l%d&s|Twg-}qC2=<-T_=sZPbDM)nb2+r|^0B*w=n*iQ7H=JYx48gWk*Y zcQ4{znR3XFj4Oh9asOPw`N|B4<+kWaE$K@`(`80_SZ?ApVoE1BYzp6!v2*$<@&!B8%sXw zSTeXR6vFFz+~di_g*^$bv#kM_RnFu7B@&N9yGx~U|QN*RM zI`S-ZB*v>Zq>Kzm=VHhl__)9d$fxKLfcSOWUd(r8M*eNw$F0amUkqU0pbXE;MdkA^m0pmS&u`7%`+Sy*=P{~O zZ}PEO{zJd|le37^G|9gV{)-QQo5lRR>_Tc|pVZ&-bEWHA3wkxO{6hHjnaJ_)JHh+E zd4)Qcm4Z+|?%!eP*DYRxeNX2L1Q%=hy_)pfJOcfyC-70zK7!tS(|9;>T`M=o^IILv zuj*U7TR=LOZK^O|vl{EpZET47mA;nXw*G$T-TKQF;2*mQdGl88hu$kvhWFtknV@%% zHRe(M)eQCHys6O3VyWQnWtq>(#~!)K`fV|YQ&xB|4E&Q&a8arz?jx$piD|?=|4ZC& zJH8LfFZ09%q;s{pGRIk0!bg;yIGnhi!0%5~$Yh@1ER!%^Rqao#FV!Frbtu2*`>9zy z4gM~AE%a_%H})Uvp!a&6Wc?Mfiu~>FJJ6eA9l4%=+kQj#X9?w}` zSN=W0+ujG0hge_k?T_OF(z%K6jQp7M4&!wROIH#18rFl}o$zs;f4Fieah+`>`xLqcF0&pD zf_}XZ+{gpqwsB|+AN4CUa^AX+2Y0`)4U8Z`N z7dP=9^BVr}Q5m`|qkh%NW8ktcKmU5!tALxb3E*neH0Wi`3NsLY{Bv*}%I`D16?s;G zcYDRWdN9X%D~B#!OHuoWJ%2dYwW6xbd{>7P`OUTF6tbd!@MZ4o% zpLsu?PT$q(=Dc6^DvS8d(u#=RYki9KNj1)q&W?D2bA?#Ho%MI8pkFbk>PTugKiy*9 zbON{@(ItwwE?F2p-mU>0|ERO5PkXQpxIK~q+-oul=K*_k5`45A25!R^M!;w89dMgH zAL7?lq6ZOoSGIwxaTR!7WPFS~=u<`EZypu`w?(>-CcU@29>+7e4(khEnLu2mi~|=d zyL0>#e@_4}nh{);$bo&#zI~4MVxn4ryG*O#Bdc|tO?ovU%N_bO$IpR#lSi%xzq}oK z?Z>|#xyNz|bibt`e%GcL_7nRmq`8l-uhXB$6_SSi*`92I`qwGFI1fA4V1HAx8lJ~( z+G^GxF9vQi|Bd^yoOcXdP74C};!~o@U$vOde24{?F^47**S~IL|M0c!bF=6u;%<9B z&O?K$yl?Ncg9FmJ_h&Qcy(0WR+1#tTlJs&H*OmHGVO%ca(^bUH>WT1?m6n{R>qRvc zN1txj`*|O;p7)chJNuDd?A`=_{mC@=h`AT}{d3d?aC7W4_Aj^*`?>ydCdawu0`>=0 z>UYeqisIivygK}Rt&di>7bsqFJ~ z2e@gmy(jtW8+{Ou*m@c3T@JZ84)J`lg?+yJjq`tN3hK&UX0AR7!+3S$k5O0d(Jts+ zPmg`38jDGFcnW1<6eqjD?ANtihvSVJ%q<-)*M|yIevy7ZgKCZzc_75Kbu4a_NxZL7> z;G%pCxVZ8ckE?PFxK}$L@+=#s@^j5Y-j_s~z3db41kZ`$*A(d0j8t%2I=D0StG1p6 z*D1Wd%#Gk+%7=S6g8jev1$owa1}-GM?XsMG%B|vfS__;9#3GKzY}(8`W}d;gKJNy- z2-?r_M0`D&xK}I|Tvr)zjr#Nax(*|*r;KC0cLVF%{;>&q6+8;u8$1UYjVh9N_#U(tCF^s4wxaIgEG2=KJS;NnSk z__%DlvHz%;WadS%V6c#A#bz>>ZGfmD<a#6hQHr<;@dXvxu zdNm;&>qxk^yk3g(e&VVaUN6HN#lR;nqgv&>q>en)?oYJ?NFJ@~xg?QVqosl2{& z3bpG^`*^%degU`nn=T}7`tv#!m-+pM**;R1P74WZX!PTOM;HKpb+{bNXFL1B*9B}!1 z_C)9p3g&C)gNw;&5ya&Hu4g^8AM@N1d`_DjgLuqDe*f&v@oxm5m;8SS-p%F6gZ}4d z+{Z=2Tlkw!VWztE^)QL4*cC>-v8BwN-KQn+^fO&3-9}{ z*ys06BZ=#uvSMAxg1_+nsQ82(n!( zI8SYWk4@V>hkU#ee6A45FVU}=W9Cu6HnkM`)q#B87VG~-ziI*R8*)}r&coZx2JzhB zbB>8y2Osay52TCw1z&7SAqL|I1E0jamYsS z4o~4Dmk-8zH;>z|Ca#KHWB(x=Q2+Ake)y~g(7Dc^V8v8RaN7R_CZ{H0EVk2<{(^CjbxkRR1)KYY}p-w?m-6$^jwVsq%t zw&u()#VsO#@hk>h&wPk{>gxj$r&C<#a%y#svq|SD(wjOn;4fqaj`QWQG4L5N9NcD; z;HDhUuf4S&{$BjwoaaYBEFrzuf$LU0SkC!*)O-|iH-hU>tq)^fqafCuw}ta#*S7-~ z-g)TFsQ2ep(GA?IFyD}mUcmdLaiiF0^_ofGxw#%}SZl;%4z=G(Tn6|dPIuxS^s-`O z>|-+P0Up=Oa=7of57Ue;x{>eK(F;E3>!f2F(C;lCuPVg9 z|H`=eV}0b;g3ni?Z7#&)CTAN@T;Jj66gP%{_Y@71ClD72TM>_3%fBPY{YwpTnZVbS19y-DaMj&vowBqR!x-7DC=+ zqgOnSk2f_5NY~p&4&3?i?=@y^KJ0Jy#rx-o@_%uie>)%dW&3YK_Rsk%*W0#7A>^Ys z@OjKDa0*=XIEK14=YND=lvs>7o!7eq#bbvhbHAk%IiBdyMDp?S7H9v~{GMM_I2}!T zUGfI|d_0x&^XOm)(u?-*-}C!5!~B}ge_bd?`tX18N|CnfWNV zF8ppNaXpF818)6e=2s%|+^vro=*511?_^ren+Kmsd>&9UOJTgO(k|>Lra@om^|cMW zzJ4Bv_d;e)9dK2N-*eiGdt=GR6nuekxzmDuKCgxQjy%NgsbsFF@X?WZQHQ$0`}5d> z)8MZ8QM|`6?)`Jq#C71_$Zlce@0G}hc@(Wmv;U=oJBh2A{9IFrx0C3%{A-MUVG0rE-kI#Fua~00R!q1`t z(rxrE-p9nFo}7nIr*tQ-L~ZtYI-dFDLIbE@6Wx&KH)R&@Z{_<>gHKdPaQA&ruD9fm z;)(zN-~Y`Fct?wIokgF!i8^?GWgz|juIt5MUFkON25~R0XrwRw(}nPRK;;*Bowyqq zHj23Spe*#Z(-*w|Kj{!dT=eDVIvG=q_w!oWClFWPe2RYU!%W~hxi0P__VGp3rCe^Y z4|`3&?n3>Ddr!gL+AQF9*_tury|Z+Kbx|3cONXXofTJNifXs{$Q5 zkY0UJ9o)O}4F0-U`zYe>&a1Pecdr9^A9y{R_lJKUfGfYp?EmO4&YyN7b9dYzpWfE` wg5^SH}&i57_V>!+(ov>{mz6J!1+N&)?ohXHt#d}7tQkh4|xdahyVZp literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/13.npy b/MP_Data/pose1/17/13.npy new file mode 100644 index 0000000000000000000000000000000000000000..1a4b89fc736aaeba9a3e042bd5f084db824ad97c GIT binary patch literal 13424 zcmeI2=U-OG7wyM_#%_!?>Mutl(Zr51b{Pxyf>;RHMn%L10)nCd#NK;N(95jNUvS^v%bVx(d}p0Cd-m*^Gw1Nk?b5Ter%x^x&c;{u8yq?) zq-tZQYE%D)Rckm^{ewbAhYSep9~9y@*zz_5MuZN|=Ai)tMh(vXUajsgzqr--v4#`r z{NMf+WQ;kZO5bs}pDk`)!Dra3TWR+DsV~p%ckZ_a?V|OMm+(C>KiWlSYBzo*?pm(b z*G0Sd$p!7K6}3BVqp3Zt3)-E8yl6LVbK1xG-nQ4P7JbM+q@78#{SVLS|CGtJ?am;H zb`$P_b{sH58R^G7fEG_5ykF^oMD7gadZ1}M2Xy2W4z1y3I_B!o5 zfqeRHJZjtdku2m_{J8IiZC4?4&@KW$tg`K*V2*!>mQQj0<0{b0gpmhryE&5d*m7An z=psH(sb}_6o#}POw(E`__%7rjf1xxTdR zs_ZoM$2Q-<^{jNtJ6xYP;(~3LL7uo?v`Rh?pY8{cM|LdWwQU!Et#Q3dj70p#PvUx6 z@be|xuD3@TdmZzxjsC@gFnl-bcfYdjGOaJ=r^)pvR>zw?dW+8)r_*gaOJ zw=tB z#ey$y1}^gSCEnGK^nbPhcP?zDeWJ@|#Ls)R24}enpk7potT^iWB`=q;~Opg;Kt<5hLqfb-Cn^DXD^JD@IjofPCp_imuvv$=?ShdiqXWiXFQ z`*eW5`$1ZdH|o>;zUu5{IXgTHT$gVJuD3t`%5t%w1vuNAMf3Q~JH-0)m`arYW|`o^ zV@M;*WnwD%zxf^O-AP>@44>qy#4D`?lum&D?hJ6J;~mm>zZ+}0vy9dS&v*|m8y-Ymv74Ky--Z=X zZ#?W#jMdBV_TaksD{#}~9|8YL6sOwo0rB%P3hUH4d>eW>X%M(7{ukCY-}Z#^FnuG< z0pMCSq9Lv?9E;KI> z3qUW=xp`Uc)VK;gudLwjEWM)O?-54zaOWZFTxLd3ww(8O1s9(65T|POO$2!5XvEK2 zgj{gX*6F6l=h{!!WC;9KWEJSe!zEb1Vp0+6xBOvn{&Z?P>m#m}2iJ#2A)m6^x7{t* zr}t5Q5;}rAJzdvZf0aHDdeNr~#$_&F!u+arhso#8NN~2ac%t<&%_%?f{YdyQ@8|t2 zSH;JWPgW0b-t`UEi!<~y`sG#6BM)Zr{b5!w^9+Zc5A%e-de##CI_Ga9KTgC|=-Gq! z*nf1!8OrBU+E-bD5;Lt25A-K}iJjP2Rombpmb2Oi(XYHz4n9ug(Fpf!Ebc4lRiC#w zUznp0CRx4dN9PQ6F^KY9_--ilJ*HCp%?g7%wQeO^uGJ^R&&tt#SDgJ}4tx@ifa~F> zQ2$QT<+T5MEG7MtJjjnIR4>-*`SF#c|7HmCz+Enr{`V2!CeEMcE53-o)r*PIIX*e;kN9R6RaJFE6gZeL)9TA8Yk8IuG>hQW?6Bgj|81f67Zd{~n5e zZw1Vwv&{wEdF2Og`fh>V+@yX@+n>O7<4LjBUnFg%e%rSM=b?Qh#x-FbxPI(Q{$*!H zTh6wpkpAQ}@}J%g>rob@`q#Y=5O4eid2n`ghMv3ph&-@2y`eYxeNhiiW-ZK@^ULhb z?$*B}om)hGUvSZ_1nzgL%Y2IGMmzYkeH+7VJThc9@em(yoiP^kDDLO%C(AZbJq&My zb*I87K`+*C1XrbBPQiGu)A`5oj|bN``$5mXE(^W69E*KPx$Z!}rqU5wFWt*we-pfE zD17ey3ca(5QT*2z(7b%QPUCe8$9fUx{3qD)%C!~X!(RyOS0Z(~fX^vka5-=!t>2OY z`B$SND4xSj==?BvL9o^9SzU+^&RN&@7UI4mEzWxs2~;X87XMuONJM``+OE zr|2Nd)x|*QdBtV$mp^}t`K`i;y=us+Ue@|XLf zi2LuwKEq=uZ{q1na5K%PhV@~ghiF_21-N|n5qWkt7Dha*Xcom2wZ_ltO%?}tW-bAD z*7*clE^FoN1GV?lxT?%Wo^`R^h?D!gLi{pfi7Ik)U9*nT$0tR5re^_ys!CJ^Lfi;&`XI_IiCQp5n=M z1^qg)n7rH zJaeJl>6kp;`m<85;Joi%j7z?VhMvDYiGJm~so?DF$NA8o+yTAXwG{h+@|z!P<1xP7 zkq6`d0eZbEhU)Y7L-;t+n&R&=E5G$|hL)gsN-hFtl^XQ2Tr{Xb{<$ZE>o$K3v0NWp zL2(ytNBZ5{ropFTKIrAe;>3L)*0qX4FMI`obmhfAHgK%lVu@=$$`~lm4Ht{VbPW zm60EjREp+hXeQ2ADvZu)e8@&{Gm!4%qWy0emw4ocy5dKI=Gu5n|Lc@Dx3v56VO5gVgV) zO~}7_G!c4U^Z_`VnvDB`ew09YJ{F7dI{tN*lm8Xy&7S&H|MP#FZ2ffwdfs9C2Y{

    8?zB-EYjA=1)EcBOaQ~fw&X?}P7 z9`2s)Bis|A*Ym3&pKR676n~{b;CxtK8UHSXZ-bw#Sfux4GY4?9KYD_;J8 z6lb2KF;*|?)kDARCpr(S%2VR4-l<1*C}TgMu1vWsoX5oC9G}~TXdXXL@k75ES?E{X zJ%>0&>q1K`XG0Hw%V~ot{$aIfpR7*LmAW>a6ZFf9^AS(`7>d8p3EKZ>zC)cmsh+4G zy(ARfRC4^yB%+b z>J(@E3amSMqZ{T|7w8180@I-9zX#(yAmcV5Z~V-D=vA9Kh=*UyLq2&2U>;RMAJmU# z(<#sKSHbm+XH5`)y*to5qa}^2Y;D9Tiwy=hE9&At!t$S*ZuL$?2Kj8?fq0yQXD8bD z)tjH7XSpiD$63`P6kO-LKPeH5c^Bpi#%p>%#ron~I-m|^_$Ay=MJC0m7OjC^W>$-` zKKdZNf93I~p=b5pr&?|<-lKTB_5fFx-{731J5E46JiQ_2(cJZ#k!F1sr4l#qF)s0X z*CNZs)|_=Tpf2+1{1Q*^0p91V$FNw^ziXi2^Irq_$S3nrpDM^3&sm}w{XaqX_NTg? z|Blv|o{Kp3iIL!3|27`|Ztw!HKBE`yS78S+UY?%3%yR8Cg5KoTsDIOJd9dZ`A-$K7uJnHyH7mmtJT{H=-yeWp zmvHTnW_>>8qWSfnL_F?BXUpZ1df+;V&TnjVr8eMids3dg{zaU6_pDZyv&@!=Qw`OK z)9KJ^vwJo+4n5b%t9_Aw5l|WH&cv=J{}eA;kA+HOoyuWcEHbzDsPs;@EL;rx!i{iXt_^O|d!P{DSGUZF*)7ea`og#>_2SjbDZ6(e|3L+L9*`raz=u~2A)m*8hQYtoJ?gh>F~raRy*U#8 zL$-iBi(SE0NpGCfgjX5z_bf&F==cb$S4|p$i~J42oe^)NEf-@ZlHR2s#d+-N9Pp6b zq+eVB`w#*B)FgSOyx_k`z3|n;3UN0y0jh)Bksz zM>Uo8=k5ieH*cCF9=*BT0Q6helXyu_a3?b<$i~V4NdniG>Ym5G`K9*7xONPtfc)mu?Bo(%1q>$?Or&>`pD=)s2}#*X3V*26*L1r zrov;4SCrd?@tQ+}$v?dY)~}gYlHQZ#eM9jq+5vwR???TuXC3!Vn zaXMGJ?a!H=f%AYC6DXhW{zX3J%PUxSY~CN_GfoiCcSyj8FCqPbRy1G7N|64;PU2zv z(61TvHRi>6I21m7VLyylUmu@fefZjB;@=Jfm#bYdE}d&HxVjbzZoEEWy*RC-z-1P_ ze=uGCq30UU`@{?HhMxWL82gX&mg|@*Iu??!!Ce3c~=up>*{Os!C#LC=SB9? z{Qfn3zSXl`OUb8HD)dg<5;zZJzn=hCYd4Tjfm8{7YHx5Iv=7`Y3YcoSOqvYN8jQG! z{n+>8B(eM|>8w|)WVw}V6B zbNDGZ-%Zac>gW`Vi|_oF_Tkv6v=2n5Z*$M~7yHwom#zLnzp{TRoLkJu6X4FGzrp!6 zUmxqwB7Mle)Ofl-Hd{pd&!-g9|InEDu?bPohxP|olX`-)xkpIWou7?Uwb}+BmKuS2P#*VUte(GV3B5CQ6xNXp2tfUdq1C~e+a#

    +N&)dj9=DoVV3WI&YZwEpR_|qIbmEcGGhY;*sz6fg6|3^U-e+ zTBj_7-fxJx^T%4Qr-ndps&vBsDZTvS(a(#1h?95mq?RW^u`uR?jxl?+`@3rIeq^8*v|J9sZ>_cLz}2KH0m(>YX=> zDV}~mArIz{khzwdlMQIRA+-OC=G9ZutiB-KFT~rnR9BxDgj=qb<)iycku=I@naRIf zAF-z=d_=-i#3N3w#=79!X+KxfVQk@;`h>y780mG+bGaz($U!D!0E)&c7+*NtDoNBkXx_0FDlUSYXBbOW57 zU61-#R}RBRKcU~9iC`~->uV0jIhH-ELwP&fk;b)E%uBQV-u{!u<+l<2%B<#tEtl)B z!(TZsDgOs=;69~(C`|E`E{Hss#l2B)=DZ=F1J!6=%GRD}`!|B_JF3!4ia%v?S?kZL zX2HjF-hla%E=Q0bow1+dOge}7ok(x0=bG)Hm-E_zv#_va>o2QGiibZ%K85r{oc!_* z_{bHt5f4k4IL_+%1)6u&*p=on_W5|r)z|bpFQ>Fa`dy`^_| zKOO!~#T4X+oev!g&ZrKZyhFjA-0oqP^P0Dy*A=};zaV!6^v{cu|Fqu3KdncKAXW0Rt0AjACkW6uh_?U!vpA-pRI&*nmqYMrrCJP z&7%0@>AWO&PQ!V_F?3E7T?<3cbA6s|^-gFk{8g3aRJRA-&$s!Uqq!(V@(|Noj@%Ole)-%IB!-L4Sg z;hl?3vfK<<3B6oE|M%2U8PVXS=sC{3m`D2RE2QPDK+br_6sG+A95Dp`9!KG08m~kB z^T`GKTJAKz46aTu0GCIO`&iDy?-Jij=Q@_TwwL85ke*LPv3Hmkb9Hqqcgw%l$OEtN z9o97uEK2*^8hVbgsL(Mb=0CQ5Ny@4;N@2T~OmB* z3@%D~V17lv``CxMADuJJi%{%KeE*hN==bME zyl@+OCxCv3BcCnp0iUFD(981wLa&~W8||L$C0Z@KzN=M(3f1ms!Q z53FXnZc5LIs`fT;`CtV0TMT^S*LAGDjn10VHf1>wYD!w4*#T2IV16!{U zk8JKs=Z8{FDIPHp<7FSNPC=ZD2Y@@T$6;P{`Zny7>hcHTdk#`OJ^xcyZ`v&-pBQ?M z(EklVoyccpaNm)mYEoSlsx4HV!`?^k$_p?rrRpUUMP=1WiCFxievw5D@A z-@FuglOAi5Eq5*{==H)ha1;J@qUHK)I-iRIEh*0v3oW&rea<s?1%bp`EFJ(Zq~+l<%Xl+!p$wja-QFp@-X%VxN{;g z+H$8a-A9-_LG@ocCCPH-P3Hk~wIc05_jY1G;g{(-lowo&`-O8i3h#wjtp@N{;*|RteAwyk;}K67y{BSdUXb3SF6vM}ng~6QISnped=+H%Vnoh!Q{Oej zA1@8CoE0mEc{HQGBmcO+wpngc>A6gX(DOL|CUizxHs?LN!C$m4gY_kPkInwb=ToEjjOb;{Jx-$=_^|dQ;+i=$)RCv6ee~ zJ%~5?mg+P7JNS#b?%=9JQ*d*+HO?pO2%YzI%j%S$X?@1I+xYv@KIUxg4{qE`^|RdB zT#x*xP6Br>UKwWlHScI0nV|_Zzq_KQTfNHD1M{Uj3UKjr(;1fk|G)n?GawIDp>_3Z z`fXbW#{a-*{GQxR(z@!tClmG2qHRQ)ZT}$|+{8D&Wx3NJ-#E+VqGI6ky&Lv_CpcG> z<$U}F_{+7G=>Byy-z3X*c{+EB^ql7czeyCBK+3yC^@7ZL%TBEEFdoqCbP4`;xXPv*Qhj?1jdq!C< zg?v^9jI~_2`~tlkF%bI(>z+mXe<5?h`tiDZFfP&L0?s+&x9`B!&ByR}yaFPv4`1`( zyw$6|?ucI>^v8P}J^3oQ2)PD-^VA#XJ>`8F+HlSb8?$5-u{{uJp+|>X8 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/14.npy b/MP_Data/pose1/17/14.npy new file mode 100644 index 0000000000000000000000000000000000000000..2e7da2c9881f071fc3d0602a391782dc0e36d87d GIT binary patch literal 13424 zcmeI2=U-Jvw1&rCgC%xRw_+@@VlOCT40aU*`j7$tLDfF{(=6UuWTML+SAu7`+Y6vX3ZMatzFleX8mvf z3bX9Lj1muBvtQJ<``67Ye_!E2QueDn`#saVm#;RUU2OaLs(G&mIo~(!x+}Ho&cz== zSG@_^t$p>;uG&#Me;9yv@u4T$)xLUYXB~1r@6+79RE6#sXclh`8V`NyEQ+@e@(f^=JRUAAR1q}J(uC%o7z>C7xzs&cX)<& z6mety5kZKGq`9q*z2IJJwR^$EYvpVR$A z$fs}MDbp@beMNr7;KaM8-8!-q?c#NTEod*5)BoG{uS~nWr#kf3vcjpRUEetT0^GaX z74vFEug@^A{NbYOrkw|S()*(A@M?GY@E-bI?ibPi_xM}py}n+M@_KF-`q$n+yfN*f z@KTDea~`~^Cky|De)*;})2=`7ziHm{(k0NpYQK~6c<8rx_{`%7B?85d3^Qt{QUqX9SW6Zk_e|ODr zH6)e#Pp?n$rwyXGw=Q^U+Ihqxj9>WQOfa8klbcU8oO$@5Un?aP?Y!gR?a&`dn`T~B za|e80eJScyUACHe6}vAzF|TT`M{b_| zsvoF3<~=`Dp$k?;o0x)cO_@T-*NRb)6UOo2A3+`R@yB^jTd<%w5&gF3KArK~laUn~pG?nI-$_?0nB4VS)WXq~5i z!8)@}42d(``cM*j`-wYzRG~NP;J+jv@zXPIxSG$eTMvJcVZ%p$4aL0M$L23FdhXi; z^&pEM0_Tx6{mkb?^f~D5%{8dbJkQUE|CN*Ev%Jq0qf-~xM1o(81?M;OT>`JWFc^GU zLmKbTGbs;^d@wFu*%@3vI|i=Dlv-@`Y;psNzvC5f(YX-%WzCwB{>RFgM?S8=Jfr6W zT7t`2!@z|{E{Zd%4Y-(ikn{nAB8*;gPChdnP%q4DPq^WtFmax`7+l=-n{2q1S^;|Y zl4D-f_@c^ieew~;tJ-y?{UB>tjN$yW8`VYTTI5HL^;fRO|Nd*_S!I^RJlcM@euaL^ zF>v0j88~n2)x&VB_&jjd^jDhqt0StwC!#g^cz(xx=_JPh!}+O-G%s)N(>y+Z{fpsj zY#j8m(r%i^)e*kNU#6rHf3g9bZ|E@weBLNsj~r2GiqYH6yCQF_us3|9_+zc% zV#^6|eV{S8n0sTs;VR<|`P{jM`WKZ#LXxt%e(?(ZYPTj-Z*N?p3|9ePDL-A(z*)%A zMTXnaJHYKi3rN4y19iv;hmnux6L5Vl5cMX0IuFjfeIg&nuBa;=ycL{zR6)I2M?&Tp zf2)8SxXSx4IE#BQ9P#`{aoPpGA$~h_57wzXb(efLjiUV_-zBVTaq2PhpziIU`6^te zy7A#z9iZ2B%3{6q%)n{rH^_^8(hE_2&ii>8^uq^$iy;RoZ~Ln+HC%k|O!2U zYcIp~=QPsiTMvJ=<{s)_)Sm#osQCCv*Xq z-|{9He-^)l;-AqA<5H#GVt!SKCjZlZG+xh!v>#rh{P1Xh@~K~AnDMs{`$KQ}^amIG z(0Ieus4N=Ss5DydL#~VhKSlXhS--=de;kB<*^L{>536|{dKKnM``C@Y!L40=!Feh7 z1@Q3~;P#_~*jL56FvMf^JcfS7>x!gzS{Ce@9gob4CI6crE}QovcZM`R)`6p>U*|{j zGPKV`)6R3x1eXgO!1cJUOAXgW|HXLOe^FHD{k)dK=VLPQH|L3m)y6uKCsz_r&X4@q z-Tw+RdKIm}`6F-2e@O@ExyNYIKl6s3mA*FG=drD;`&|RqA87qrc~8uR|NC6n=VfDB?=s~r z&IQ)~6X}a@p>rYcfvNCs@*UjTSP9(nT7q*&ZDH_H4>kH_?f$|3pghT+$J2Q2ryg`p zP09^DpWgs_KByAazw>sA-@PO8UU_Gt--;W-WqkoIce-HRsjhM0tj;2Em6#_Khfth%9|Re$A6y~5+Cx4+k6mK8=o1323hf5B;_6~v>;rWF z(e0wZWzU(=%RE0quM37_U(z*WC&Aw}8TGGjR-k=#Z0i8Tlk_|EGBFQ)_}66Gx8GdF zcvbKetQR{hak{ICC$bEDbkwjk^PW!_-QW1AjlIEnzj0W1^4m(x3okN}#QC|HZ$jtb z=QhJlT-Ka4#LrKaK^~+}uTbzx&EYS@cjBD2F69|wI3Jjo;@>+6T&+3oYq(l9hT^%u zj{HBpLY?q8q2S^{67s2iLSmD$_1Yl@{jy52bS|V;SYmwG`h4&gY9{fPj)CwG^q}|y zHh~M@0yw{PpCoX5w_Bz$F290*R3G%K z)B(h4FW855XPvGC9~ssk@kr;3+l-I6J&f{MxHZKu4`IKuCUgUrGmFEY{rqN{@mIVC z4Ke_qy$m%Dmdq-so4CtcLil zM}h01KkEQJtM%qCbZz#;nO9z881zh7G_Ex(;|hRc$TRz4UX<|>Ps0%pe{miCihxt@hU+_r zz{R6$;QB+`g2qR^_JzOf7Ekf#yN&&X-#-U`dr?c|*=}SJ%({ve-?$Fr<|hvtegvOd(V$CdcJfQ^nCVe>;tMs_*@eYkLiIt=sQ`I9}oY@ zMsNT45I%COruZFiHAKJ5io(a<6bmkDp6_qC>`?<;d(0;NfHh+b=X2K}ZhpHnxLvC| z?$x{sqxk)cfyi>Xq!J0$&H0HAlT+O%~4m31y~Z2DD2icsF1 z=F+_)B6)++vxsWsbEp%>Yo%s+!e@63I7>W1``*C!G~RRW$b-6{LjDa~c^ZFvE$tiH z`6&>TepApfKxTlGibtun~Q>h+Cmz(5j`hCBE z`aM$}`Lq{&2tzze2ZO7xxvAbht6vOPk6MEBGmhZ=d%51mM+GefX9ubx9_@R1iqZ4m z8&JPx^U}By@+>lXd36!=c5PZOdinI3MlXGHe5(9_`LZtD9tD0b3wqt4`sFKsqPmJMHqq$quXJ8B@79=K?KT_vVQpyt;XOBD-C0Fa zgN$Bp=tw@dlcBfgziV%}sJR(=xw$G%m0D%RPUHe@z>u9JsXw@e_Qd zihPPuTbCKm&+mkuJzM}iJMX3p7rp8JAOfSY?}^IqybZU;+@$!+k08G92e7 zfLqgsVP4qqZWRBZ6~vQz1{fc`qY`odhv2eG49*LA<_qPaR0gfDJ`HBMntmtrBA%6s z@oJ|n>kPLy(sOKeC>eDwQd;^OE|>U{zn4w*KlXGl!+C`x;PNr)^}3ZElCrs;_J#QV znb6xVk2-^ws89LX(h8jW^=xOj@^`2F^UsJ=h9|T(TsCz@oO*3C;^gtY@x4jE3Z{A4 zPxl#qybac!7`zT#NA-r@N+^qUD#ZzK-uwgR#hTv*^I|Vg2e(JjJSy**s}SdzKgs_9 zegEY>e*>3~BEaQeku>jY44%{KqZ!~#)ALMSx!D@yW6ypIuEh}ORbVy5V~?P9s#B+6 zy!OunM!6dONBX{?tH#rO&5K3eR9MbF)A|7MZl$qr*z-G3p1YBcUR7_b@!`X3fwQ80 z$iKth(S}RMpRoV1v^$jlA6Tr3lNV_I2<`h$qkh=un-S){{j@#wR$O(&Z!hn--01Dv zr=Yi&HcB%()xGOx^QymYgI-phhko@E=gEf4pKWkEY9_esJ1W?4v6p_YQ~k$+ivq)E z!Dn6<`18_qUg%&a?DMMNO!BGf2fdZFX_C=f?H+)OszqsC@WH4^KV zjQbJ()~%8>-ji8DMlW|arG7^?1J`BN&o-R54gzO~2BTk=UL^|sw)~EMxnp7MW9)NN z^vgUukWZ&|euZM_H%JO9R612tJojZl1$W_+}Q+rIZA@dQ;n7JS0VYK zmmgdxo^-E)hV%a2z`0WoaQmM{IKQ~ZVsQ1|`Lc;yJ#oglBOf;={~z8$FRjD)o~xav zgIfazP@R1HhW(b!s0AN;@gka+hU+F7KfO0U>PKX3$GqF0YV0M(pP&RKlWn!9oY^$O!K(1H|my)tI+eu`>9`-u>+02#fMQIj@`j}*CXag z!$s$<(A)oBq<%|notKo&?GD6svKQrTTW_3ScDG%mA9yq(h zw_-6~tJ)OwtM7hBKE>EESa;HWKl#X^l;@Y>{fv+Pw1VPX+#db%%8^TrpXIZM_@YGg zE0l*aT<`Frev1l>SKQsZ*!b{e%fMA>A8`J1F~%j&9Hf2+NXpOrbgUQACm7uNkDfp9 z)j7YfU7&qQ)ynxjuFDxO)35rL2EAy07d~1#p|13V^W<}JE4Y2?l?USg;tQ@yY0C59 znK33#<{k^KPpl_>K<L^EwFYMTEOxT+FpJt)u3lwBEbl+Ush@)&D5;)||hPAKCADFXJO>`~@!F(|uAN ze=*o_=I25Fy{6-Q)IDshFI6y}d=|QZ^O$Qhj9yP12+nr(BkqtJ^=7R;1TN#>V1Luo zTIMr)*{>Mt);j(R;?&K?p?*Y@o#Y=AO!eUS8T*L}ZwtL1=Zke@d6va`Q5|c7i%g02 z!fU*v^_yN2oc*yE>p~_Td2!st+3h*}`G-}=v$ZEam#g8wwWavWS+uTS*Q0sgmh-!C zMPK+UrwY=6jZYTD7%p~? zK)?3fUeGJAq;TgF3gZR~m#I_-dSRs;{AI9s^Wc_G=9q-;G;jUb=2oacTO%f}cl z7iCZ$N|mDgpFO(9`02@U6i>T0;B2Vl62s+_A=GdDVsIJw0`~;j^b7eHjRsfWqp^>v zv%A67-=lN*1>8f#wIJf>oymWO?qK}c8Tvm2Ib;>a%ia&9b3E{0^sC#BMm_M(*H;<6 z{WtA<{6cNy!TOeldFRV=&Ykhjs5d#*eNB?lZ<jNekE*x{wy7=QbeAr*{ zdyKzq))RVO{1wetMx{f8vLBF{y`epg)cT$<}Gy1hM==`#Z((mKyQv%iPV7lkXZCl`@e2&H$A9mp=`sK-k zQMasvBj!=AATCem$Nt9smThp&mWwb8{qnv6@Udq3Cm1fTyrevT7>|8`?{E4CxP62C z*Ce3+HOsxxaQ2wiDcj%6Ht)4pG~(2&>mqM@i97Odm7BdhDZ5>4H~`La??AuoOfE0O zt-r6qpZ)n7d6Q=f;r<}n7o>jA7DE1c)KkE*pP9{Pyi` zEzxhEEcn=46EI)g{tNlB7SO&YUtL7}(qSO(MfT5b&|51yfwPJwR~Uc(E`;KI_7eHj zknDR-heppeoF%@1o;RTT9{(o}-$TVmCvaK!8T5K@Chn_jSR(bCuR6{h z{ouEmN!d1b&2Vsj=MwU7#l&I%w@*=>+s_=JS1o?SIii1>L;n5SBF}8th8Po%y*TIo zx$+ITU8oQ3d!>)VUsYO-`LfefI~u*%{un;`Kml48Ztb@ju21?L$j;>YdpNpVsr?BUU~`9a^3Trzd6i zYn`C`6)Rkv&heUY$d6jS7J5C4e)nWPfjHNsU(WZq=s4)LV;AW8EXuQbT#WKiwF{oB zh}0As*Np8{|Fc4c=~rI6ME*{zz-9c?!QkcZll~&z>-55q0fsX-`hKdDvoJ66P~TRr zhR>z_MBJ`S>$+cFoD2GM6Zpsyv`<=@zaV~5fc~FKIiI9D8Fpv{d>-_nc*>lidUI(s z*>E1S51b8&L!3G!q%Y#he~#wSEso-;??UV1@sH5+-!H?5-;N13dS31x`KK*Feyky9 zx)^_(R|1y<+%UgZvy0e=#rp~1R_}?lANp;=^9{Z{hV&m8&3ojUvBqD|;fTko+ZFR7 z&i2ImRX3?$cJDu`hfQG~MlaiyfnL4*Lh~4C1(gRDg?8CbCdvIPMh2kmsRvA4T8B0F3 z$3kz7ZHPJ%jen$bXHZ?5$BB;g9AGEi-}pCA+6NN$_!u8~V;JJ+DUWGA4v3gz#>IQk zybOVv|1)Q>0@>2J-N zI?*|zT&Vtap%2T9k6n)L16K1&7_TaM4f_d8r0=2P;8vU$cIHRS7c1Qu{i>Mf;KILQ zsPR#AGZCldz{qE8z7WG@?d{;I!)xf3!^=R!*$ldm$&+Wn*(?`d=wH)1W#OBs-=Ma* zzsaydG>@Ar(>mIow%6$Oft>GUF7$m|)r+O?-$hYZ_9Uzc|DBN~&{y;wR{3vn^qUTRUk#w~AB& zS7m;Mzpl_4KI{rTw`9G%a6gegbl+q5YGb@s?FqqVT3{@+`+s)TjIdeHAAEX>b0DVysNJBd3_yKnR?u0{ZO#aZC|us8O99=T?Q;r8-T z;PUt(?B}fE1MHt_^mD9RJ$eSX3{OHGisvn$x8mDi-?ry1z&>F8y@vSphuEJ*u~i|) zpM|~$*O4Wm=R3z^z1z?BU|c+JN%Bv6h;xefOQv-a(1v{SkH9{u919>GdkftU?Jc(l z8GkiyC^)Z|hJI9RiD1KJ@#(a#qJM|K+ScV)*KE$CI}`6P3jVCr9zUZO%g2M;o#=U; z^jkgCa8^l!%VrVq&;ES_`-a-u3j4KwS_%1-N1j7(U%Z@V`jPWa(7Dz(lb-YZeuDT2 aj(+VW7ekFde{maJ%)W;GN?u(Xn)E;Xk?N}e literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/15.npy b/MP_Data/pose1/17/15.npy new file mode 100644 index 0000000000000000000000000000000000000000..9f6e422ca5585df03c238a10628f2754d3f3af51 GIT binary patch literal 13424 zcmeI3_kWH_+r~$%PSj_0h9GzdSv^8#wdi$~RYxSzTZodvgs9P5bfdHCDyz$^-c~2U zV#FfqVwKh3%yH%~cz=E0{pJ4L-#M;h&N=6ta^10WTefe}`sZ|P1dH?z4jI-f%-fH9 z`-j%_uE4!R2Zs$0>p7^$;IQBj#~bw=Ff1gM59`x&NJ#4UvcA=;|4^Y^1s=`+xBq2j zjEVJ`{|ZR`WYu3MxlemLHaQ{n)13MCxBJd_Eke7UTk|?}4}ZDm+C^Pz7d6vAaNJ}P z)Si9=+ErC*SDX8xUC!u?cAjfJ+D#2=H%pq|chB38!_jWL-m}i%%Cz>;SCd^kE27aZ zR@|ZXK56~m38VJ9N#q}A(JsbQyY8I(p?h8jcE$Mg&CIi&E)G(=s#})gpMDVSCU^X8*UtB(`44~d*ga>3e zN~c}BJog3pWlav>aqX(bT(s*;VcT50DNfJJRe{gZUaAE2Vw?X_*RJi0r{H-?Uvr=0 z(CQcXT)*drYZuW9-{p_>@M(@+edF3$=Z=?LyDsa6czF`di|H{A{i|(-UZK6)V)Uo) zdEnEo{rR1H-eg>b{K*G}Z@KSsVHV_F?_G{Onu(qManG|BooRdp*HHXoJpQemqS$x+gMs^#10`CC7Eh}7?5 z;QZT;n=G-f>ZX3`8?*4d%+}RIq<$BHQFmRteo*A9Yd4*q;d%YXpB^IhyG(h4dXay( zyyx0&x+!>GpG-u%c{KswdAG~w(Y|sO>R+50pWZ!hIz1Tc{AHt-Ph7irwu0)v^KP`u z1m95!say|T^~kl$AIec(e5{JN`P)2mT|4WO58Rf2d(-*ZwcA!Yu7dMY9rHz~5B7V# zIgX1KC$UcSOLoKQO^)_Uz%zJ4FUGcqk0_A5%5k2;!1<_H==H0`@VB0~;bQ`)pl
    1r>+ZX39USNMs@YMBC!zZ_=w#a&j`NH0q~De8 zGWfkeq8*nrD_5f z{v*)u$N!Mev<8?LRq)jc#M$m1#w(_`1m}s>qPl3Yit_WmhYoP#iu{|_-RS(Z z?xr=W4}I(b;;XBHv$oA!IL^H%ft#E4!Nni(<(v=mtPL*z_=@?`-}()6+!QQ?c+{|GBoYOLz(xal1V&THKQXK#Cjg0HI&t~cZ- z|6`f!IIhlng0n0W5vM8f+n507V@4q!eYYFdmFnB{gIgEupBm7sEc2<}idP#2y=ODz zjYai^kFr}gWJAU!C8Y(Qyo`x)AD)iHm#$Yb0QO*zVs9H%L@6Se$= z1Gw~{x{~9+L%o@rn@C?{7W6FZ6L3B#mU!Y*szcAEli+`u)&(E=4cw$e(Ylzvp7b}p zP;au?n(I8B|#*cVw+6wPD6 z$g2Tvo`Q?a!)IU*iobPP8rSzBSdZ*c25{5w7&xmu{zvC;3;l<9-;v0t4R6}oan)xZ z`TI5lSLgjU!GFVa==GHL7?&7-Xcm0h9t3Ae!-;3hj6B$pors?dC;w(6yE?t-F$7#K z>I%;1*nW=dYX72NQ~xIA;oYk~j;n8!e_=XM{yTc1U)eng`4KDcLT~3Tos4+8oC0Sl zJ&6B%2z8}<_8|TAL)cg4;SM2A&xRaCzbXfZo_~HA5s-@c0$T4T=JOTz-2}$OIKAF> z0D8S89Qm|Kp5dJNAEe zeF5paXG4DUmZuY;pS6_u-GRshZ@v?H`5^?{P{SGfs2rCiXv2WDx8eec8&}|aNHHyZi4mY9rr<7ITA*)HhH3(d!bQ$NkTDlNiZJAB_ zb$PHJZOROAR`4|W-@J%C2){aCnofquFPT~`O z$Gpf1bpH`O7l7-V9iUgg<)Zilr_#RU?~Q(KbOP3kty6^dw^j?noImq!P5Pl3;iKZ) z(!5;1j`7N!QCKgGFN=2L)z!a;k15*cs{77be8xV&|7u6;F?KlCoqX~V`Q(ej$Ujp( zs*|tHhq``MTw0#D(tSys?}GD1s3N34cM|>D(45!@WSN)L@2cil?|NRdG0sPf?L^~R zQU&Lre0Q^#i;F+JLh*a$M;`Qur4tZu!)oxCzih)fYjW^zj+;m6;iD^d2WPc!4uO7G zD8;jn-V4l>6x5Y@6a%j397R6u=D@`XsXlhn0_wNUV)U!ZG@T8flT0$06*z-{=`?#`b@(EiWIe8qTe=8nA_SDk86Jm0MV7k4@j z1n)-cg+DYHmkt|^JgcHR5vK`#gZTCRYBOEG!v7*T8!n;e**-@&E=PZ&yj^O7I+1hl zt#JOLe>>uv_aaWCN8o%{St^kK?;R3o(AjA_KHBiB5XIkkM3@=)#*iSWzw^ulIA>w%dogWzu6l`h7;{jvVQ0@%-wJ+I_0b{m`#nT7vQu zvtYI3d{_?nh>NeW-eqEyrH-3wK@{g{PI(TV2hO$(LOg2u7WnJ^&jvZY-9`JMxe*M1 zed^GH1joyigWd$zM;_D)|1plMkeTq86M9mf2QHn9ev3~*JhoL5`ZYhlYXkqwd%$J$ zL~wm5*KNG74X1c)p%sW$ITvj(VRdKiwLPc6xat znZ}izK=FSuzK*Nh*~q8SVsLe5@Xye%ECnv>jR$8f%Jp?zbf))Lk<<*F4{D2hH4FL* zf5CH-|ClxPpl^Gg;;;V-_XII%ahrrxAGT)&anJYQ{PWrNj;k#6`;zpad1pCyRd?JB z?Et+j*N*&a)b8Z`&7g|NBdbQgN9hZ#*E?<#dqZ!gpCSG8hM~~UE{ObyWkoPAviTj{ zuXO3b7_WM~6WsKujdNC%oCa>^`=PGHnoe_FJZ$+D(zk0#`j*vaJ8rz_oYEneXS_3mlr;|{V;I*-*T}oPWD?O^_%Gu>4OI$KX!K(jEldVMC)$b zx3x|$Hgo9tp~e_5do`mcd}puki3e zzbrNbjqAt<)QNmdb*S!tL|w5{XK{aE>FFNDqC7EQETdPj>(>OmfxjA=Nb|lm%QDA> z*bB~&(EBov@S=Uv(t9PVT^)M%xJbOy^R*Gs>mnDi|LdoJQk|b_g8DH7N1$IG^)(#& z;CkRHV?pArvJk)X7(ODKH@Ml>XPDEogLGc2Lv?6==iTlakcw?9FN$;MMmjI-Am1#8Zzy6K;l^#LAi}QBPQHSzN-uX^1{-!ut%gxZsVoW)1OQgNWHNF5n z`#0|@$61iYxcIW4!R^W@+;jA$VU*9i{+LH|pT{Mn%5_J&|Jyi*yy?ZumpCp~hEtyR z*97Os!{#|I2h;B!g3m%8ary|?mueZWPTACQ0DZ5raV zn}&d^1A8K%k8K8SaxMjztHvY$)~hIutJNcL)~`$lr&sbb_9flz1=bgjXgn^!#gn}) zxM_Hl#@p7ca-5~B0v~bVchtGgx-ZOeHFq#LTWM)spPBFz_|?7O{4dh8q?`>BQuX%6 zN8;OKXnmDD66m=4z5?=QKlsr)8n^vN$4x*>aFOma;?$Rm)pcC@2T+{L6KH*{4cZov z%2_VjhxLK9`%H~YSa){Pa`LItiS%ncuuj!o+CO#q4^*F9e!#q_taqW8nQPJfzW8aG z>sN%3UUs4Tq}0WTzo-3;9h?Qd{FH7w^abhnF%yyYd!~2R6^Q@ibNKULdQzR#`xpC( z=t%2S)EkZQ+KtIrbm@>phy^i&+;tA2rYSL4X@~;7O{t8W-Z+cNq}?y&T|8 z`AM#T__g10=w*>gSDntDJcD}$&$4F^~M?Lu)z&zR%5F7}!HUuMHT zrd#+91^4(7diK|H_*mbvvm9s5zK~D+C2$s5f1~64#s=cy_rYbUD~sS$;Vu02hXSZu z9#>d5QGc$JFo!sDGBDE5&nj6S&^$i}!KWY#F$^UzGO4!wf*KFxV{(XMH`c+NJP=2DHf!iGi;4k>$AL+8p z%Q1gNJ1(=YBmb>e&@V5v756=xZ!Nes11LW=2Sg<}eWgw0|M~%Z#K&dIao)?2zGH^V z@ZB{W_W^NX81)ST;0?8u*iAPs|5|wubOpuw(}Efw-SGJ zkoKz=r&l;`7xjdX*cXEF^1LHwIUhS`7Px#c1e_JDf^qRoyQtq@vEU-55!Q>WIFfk5 zyvVcZ^)J>JKXeyd)jv%7gae_jUwQBnxb?B%^4sc8u3tX(9JqKw>q}KE+zE01G=O{} zk08%1ZbZD(n_COO&D!!P|-ecXzR{^RJ|#@7kV9f8vUBMsjZ!lPCiQf#YJ$Q z65hpeRjm!U@s7c~+iRP!zC^Z#;C4z~;`a`Zb$ZsYBe-hVh3cg9b?8-Lsw-(MY~Mbt3+d6l5&Hf3km5|Qk!KYaTHfi|Y5M!G8B~_m^~zkh=bH({ z?Xz(Bvtu=4oR5z3gO7<%x#XT#uL1@+F3!ik@CI$b*)Od}Ic|6NrTC9G#knawFW{cQ>vy31bZ>)v%Gk3wr|f?w6Az=`{aA+l zSVuPT34Bbg+|cvg1+YJu3k$$?=i1=5$zq)2JZEQ$bNEbfR;N6X@R|u)-SSwOb6%alZRCjrUUs>cK>| zUgq?s5$$^>x*YPLx)hy@eoy*PJV{kiZ+x=PiUim1z;VPMHX)zn_gG&#=o|TG+6N!` zBxr~8Vc*g3W+whQ;?XzqVqNedn`vC*CZZ0_@88k6?9m23Jj(|7FcyV*A4{J5&61w~){M152Eb_S#SV zvL2{gJu3(1Q9UEBCT70tp4V}4Yu%^KQ4IZZGZ;SNW64d98=t4}vD*jHK5(JP8a%i7 zI=I@u0rhVW&4mw(q;cC1B--g&E(^{Jy+`~!xkM%S zr+Z8Omp0PAF|{l5BZusRUNpFd_<7U3@HbcMLvOw5-xcY1H5WR6`y~>b&3=h|+P8HP zCm%=kpqf@dJa$c{2&dOeY2NMU65#6lMUjq+%>5|Nl4-yH#M!aX-`Y+69)E{Cs{;KN zgO{MX)$bM~Km4i~<+!Xs_X?iW3tZj$I2`&BNi?n{%_*OeGoj}qBm7Of4y13=Lpi-@ zY&QHg_ z#LtA&IhB?-yJG?T)y%;&ou1dEbtDEPVqE;@)L$GoaTDQV=h46SFlSQ#lIZl`=ze8A z@?f2^9F>qCd2$)_re`Z~9+?q;4>G@Q09XB%(Rmb;q~MctKk?dms1DVyeH_z5p&OYvRwJcX6EUxJ^E0Jn=g_J2`IGXGh+I{YdjTbZDIb$0zLpXSIr9 zUF(4T$iGai3?GyEZ`8TTzaH_kZB@a=BznKLSy}}-AJL~RxZZmP`R6lE;k>Z@ekJ`+ z%Mp+0R;s;=M^!&d{hnKlctq|jOPmjXkrR5g<2udbv$au9Z+4`;cW;t`*3eIkCw{R% z^sK5E&OseU{|?xWDNpmb?AZp4_fJ3QZGm3kytEwPxSrdc@;^NV^Ciw-h)qc4B0dt_ zzF332=`*_*I<5!M{ZpItebHR~!oNOZNfM|0Ouv^$F)A zn>muk``0O|+w|?`q2FP2Ki9qmF<$#20{e+LPVb?--T9+viAR+8Sw^}0FqKJL?){Erky9V)N=Sa*62?f)Xn0nCeO zx`^gwNqy+qt(>SU)vn3X1Q*ZeF5v3uCFt3xhD#jhQB>#hHvL}54lS7ExO(Xiz3fsF zKITS@WH`>sCZ zy6Xe5&wKa6IuQjPCOd9NeCg!siap4Uy60ZQ?m2Gm^$2jE{B2fR56e1W|ChN+m2h0{ z_61kT4Y8lI?!{|3t{?X#|G;gu&nMTweTH?Qzvr1-GqG>;#}mgmz1mX)J~FTb?dS1d zyCkG?lY0@kn9zsxJ+nnR&Xek3|I){6z+W~yGQs(n`J;)i>yCY1)qe$QcDH}g+F_^X25u`kIV=y!ATEFS)>@2;PmUIwN8 zem$Fhr(*Lr4Fm6(3?Chl8UAKghA8+~y@UOl4=9X$sv2cRI&S8KgX>0TFkV?U%Q)}` cW5A7<5BjzJZi6eIqu^rP3Ha*;`Nt>x55x!Eq5uE@ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/16.npy b/MP_Data/pose1/17/16.npy new file mode 100644 index 0000000000000000000000000000000000000000..df7e07ec370c17272efcf59c96c9b78868528c61 GIT binary patch literal 13424 zcmeI2_kWL9`2Ppl>s)8t_dB!OcWKw5M>aNwMOF&w8x}mW zk`J%cq+i2I)p@0U!$yu885r7U*vOE+j<*aP64p19hYbiE-Z%5Ua;^IHYgeyQok#Ki z-@m+!G0`d8ZQsl*Z}{$#y9%$Ao9UTXdHCZKcW>7xq1{ezaRKd~=7wuGwW(b^euZ{b zqYc`1{k>>sRkEJ19(cz+#~%ivoweFS&sU>%Hn`<2*KWp7BmLK}tkdT`s9jY)dDFFv z;(O7~yZ(cA8I<*W=y0?f-&bf?J+hvkK<%=0p1XLyu|N8!JYSx3`l2bdi(7YZxON_& z{j$57^4}eC?Q#UQo2nN5((lR%UsfXh8g!%PqMdID+2EenRkPyzqxECgZpW2@J+D8)f8Fwx4X*djLWXw$W+|31%9~No_k)xzI5)>uAOyUjd-%$MdZCtbd%n%A?P?cCmRB#$Dci zfamph2jQQ2l|=k}{SZ7a2FBcX&zYp@=)b-nxW+xN$21%3xLDke;;0jic4ix{13%g| z+FkjLXZPGyM;CgJ>#m-w(lhVvxT2MC-`tPlu3ri5a$wY6$7PP%<=s^^T!rUtYUk`C z^IrJR$#7g`Tzd9(=G7dVisyOFUfG4ae>f5KpdbEz4(%a#==ttf(auiaqxOSoH(Wbk zJDHvzZ~^Ti;p26u&)3AAbnR^WPpE(1adHlkc`H8b9gnznKYZxgwdX<_w=!GNE+1^1 zm!8S_%VPJTZ!4oN)cQJzTcvr-cJ2CI5vrG;U;XLyM3Y~ZIL`ct^S3Fe5Ba3YEa+uB zgn6R&(mdl&J1%tGBo}~=__G^yc##`R9k&x1`HhLiyj1TNKws{<3LSo9>P6p7J3esp zOz0H-p4NesZQv#%X@qNMtB%t8^7mI4+`ag^Z=$nj&wm4#{_?!zTJ-$UaUDI6?8oIl z<2b)oc!J~BuR8VDZwm6jau-Iw%tPYb%YfS|=rnJq!+JFa=OG_3UaH94FvpE&X~ZMaZi4IM zx0`{NOCg;eTQH8gbC2OpUp6`muHUW#m#w=Dblj}(2X1O!1vgP|`Z_LN`w<^h68du6 ziAK=LUl5$-ibb3<+v5qonf7|mSgMCuf6OzHt={{6j(^z@_M*fb=!=wk>g-^*sP?x7G!>X~hy@zlic_n_ffx%W{d4>CXPa1Nc=-8lry8^DC$~k?381f0^)i3z1~4|;|==l2T4fLHVax8r;er@ikv)^T-xJjT(i z2tVhWc`uH6&T&^=vJdn{j;drI?-T)@okhX3f!XdFGO_Hyg()z>K^!&>pAJ<`!~YZ`Au3tI(^=s#r^d7XlHNU z?4~$V#!#M@`iyq%s%ZWeD^uM1u2}(cmiiEb52# z4LAZVP+!&3kb6awq(XyM?DYeR+kr z-Vg#VyUl^UxR&L2dR2Z*DT8n5t8X}+2IChOe7PlSNm z$9b{ei8D#i;p@MHz6}2a`zC)M3$8}=1hi83Lq{yBgSujKXun_)TgY#} z%@`LIk#+t#J`Y@t>p*pQvJl1pNg~!I8CMp5Ge-gSuhPn5eG_{UN4osj_8lnBcDbOV zqrb(tup1Z9U&Es?Uu@j`DA!*VSR6Xy(g0eo-rw|hI;>o0aDIIBd1uFN-KM%q9tnN3 zx(Vumm8dns+3Qa9o~BySc}d*tj{QY;C<}XW`7q7XetBw-nTV&92lVxzN#JZx z?$M4bO?k7^SAm=I;e}!U-(J{@qe0**J|e*Bi}@b#%PW6GJZyLMV8=~JBXFIunD~Z9 zLmk&y>wxO=8}(~$IPxr>ZbF>=%1gx0Ds)bQ-^r&a{-+Z5X3$rWj@xQ9ugxcIsSdkl zEQWsc5AbVO?WFjh4aa;@GpkYl4|GR7eE-#TPDj<3l()d9l+TBUheM~Y)!Q zo(IdYFQ}V|$g>%mfc~n(-IqbXH0{gUuRiVLO9En?4vVDs9acODT+BKV3qJV(;;}!k z0Ou>V(*Cv8fSb3kX&${g0DDuO&SN~=MCxz3fN@U8Hq1IF>~8{l+vIO>IhxizeyTC~ z?b9IA+3P-ZZZtW(iPyYEeCe0)t7aa}@XfT7Har~qRjVS;)*}-Am1lkrckS%wc-Zsg z%E+hck`M74zh2;MMo!9qVnz$6!)*g_o!<-G4Eqo3iS?%Qk4WH%hgUUYoV{t`P2-#5 zL42df4ChzvqB<1a-l49{{DU|@$h|-UJ@U08FAW}T&d9iu$|)R zJs4cHE}!hUjHUNVk-s6ho?3RE<7{OF?B&SQSpTKDjQY{5zr#GzBS*onIXw{ZE1zb> zyA=o5bq9}z-!t@nZD&;gm-lytIj)w{ey#iXV0?9no;Yu)pfBK;&039lXTw%ue06XO zaPg0Uz2!~3oQ}==GxEk){04jN(;MrsjC%(zef!e9{$tTtXP@~U58Rx|05@gxRCZhh zXHb4dMpOLJ0}!X#Zg#Ci;c!#{%puaJ{^pT)RzApaD9l>Rl-_c*4 zc4VpJwnZK2=xx8E&UyB~Mmnwz4+B>lEb%sVx;V~1>>yt1H*i%lr(b#|*U#R7v$~VO zrSIF8j&oiec@w7_la75Z9JkHdgR@-k5vT0o(G)t1zDAt-xS=?o4oUOPv=?P*9kw6( zQa!)0EFyi=1NJQa1Lm(-Me8RY{TAb*I@P3cIdP5rmTyes82NoF{MICUy@1|- z<)c#I>@}@#_Rvh&t86dnJ@o(0-{tf@Q`GWU44os7p>MVYQ=Cs;}&J z2jF}n%5$tgYU3>$mjQWGoIa~q>yCTQ7CcP#vtx6jyEi#~VQ$h|mM=yfYezjGY?%9&=gYZp8I1Q&G`#glu}ILBrEe9#dY1HlCgiH6?Y=HRjr zBcA8QbjSG_`rXPjqjNZ0;z#=bU8OjaK1KZEr!<_;c}a>#ZmvMQ$ZX`Q_bsa5HJ}B*#tAXyW7j5s&$D(k#T&;2rhrP+nRON1Pe%xLhD$&(|&{ zofW09Psw}lNhdFzf8+_D)y|&XSw;5uZ^K@D{JsEw3;jd=>RlRjEA)zX>6zyIcp$j? zBs#%L}2Kkrunv&noZXtf%*?Wo8QCo>i z`5ic`QGY3T-U!N%TzuX))6N7W$GWTPJ03bFa4oGHZ4>dGP##+bu5!+R4nO&kz5@(h z0?yVo2A5x-#dJgY^46)m`40;t+P&_FIl18)jsjpN(I@!-eTz@A;b2OYgJO*wA84DsPP&p2H%zX;9)EG-Ov?TZh{ zC#yCB^G@{G0DDuiAGmDQG|1`bu5&2P@NdcQ$aOQF9^3p2xE#C>e&vu&iyfCOX&#yU zA?U9eFl2_)5#44$U;PmZuJ@Ejzs&2+;Cf;-xT;ni^M(C32AmHlhCHi_ujsv|kp*Y9 zcEX;`JKPWPTsuwrF@J)~qw~8vzbxk;r2pkA^80Vo?#|vE9}I40()S|UGkl)2m!Hl9 zm-&~&-kPsQIc|$nU73m-z}2;-%5f9=1MJn9U%^fLj2e(ZcfU`X#pl@sUA>NvSn_YuY|7;=EkC}QJ z@vtGcMmT+0ISuxv)-7Ix9dI^l zJm!n}D+l^z<`%;|(l#3FfL*Y5vu~!19lwM8UfECiNeu7c^o`f=;I{cOif2-AFURf0 z4#Yo9qWRTzDXl*nX*oyhSVLm!H3jIK`5M$TQF9SJByJerfSZdmz)gqjlN}eIzasrjbHVw#!lPk-VI8=nG|X&)c|0)F+N{-_64yjd#rD`l;FRjVNn za#{Y_j*H$|`;Jco)SJv*ZE?EeIcUF-E89TF6fYF+IBUx=FIc->q;nu(lha`{+9DqP z^%EMe&{mii>~rdusTGfWvT9#qU$#jdD4&t5N$1H>tiyH>`8D_7Qa$IKHpltZ3rmvU z;&~9Kh&e}okNd+fUsIg?mb^F7#ly?>1ZQDs&|%~DE_6C#?rs{Fgg&TS8~S09vzI;g zfUACauH!x}c7?l|GG6d2!bXtJ^s;LmXYU_T{O5*YzKg@fmgBic7f7ek8q_}zOn{D_ zN%P3`?rfp!byq=WXC=gGb9JSDt@Te%&y=@$Hi4TTH^49V_`aXxV!%1*vla9`&~iFI zh#}d*&753R4=)~1a{9c?Md;|}6~V=aQBjWT;6;_tDbBQ~$fteMKqH=tR1a#0H{vms z9*sjhr6*II`@f)Z{AzNf<6`hYa9*Ci|JaP<6CJmYw^DyczDAyHzpg2c%cN-7E0gse z{my$V^fzUlE9PhYU*Ci~qa0@?E|Gm<`hP%?cR1|LD-Y<4rd?>=Sl+;_yND?in^1bFOCW1*=$}h&*|$NZNTk?m*Bkf5L%aN@1}hA zT8!}$#~yv}>@&|>us0dBZ|Z~P*EudU?bl|@9mH>@4j%8g`m+giOmq^~EAdYR_9@jg zCv@1|xl|9I`XxDgowuq#$1dpw`xhDDysZM)$0l@l+UdcI!|3q@mH=3E`p9A&$3i4?BnXsj%0t~IJm8{3;TtU9ed4~uzC^I}3l*xPnl-}x`3jd%8ZoJn8em++{vps2O_x$#wLOUQgB)9* z;!F)e-bBrAQ(QcoJ32uPPP6KBzp4 zVBb-Nt5aRozPrlVn<0%!$2*9|cX){*j_dLP)UT!wF<$)arI_?g&T~f6xcs}4@;qdsyb`U^T@&Jl3)pkfXc|a_FPCCV};5(1*5l;PW zca-LZe~UTJp8L`H+@_bN`kW9(>q$)3d+3bSm|x<~rRlK0>J1%H?-xnC+xPG$|Tz*gUR1`}_9cKQ23^+?X0eidR-B9Qh>jbWIl3%;;ZGXp2&#eFF zUPf_B@6^qXt31i1KZ4%J)x=qe>6u(^`IdB+m81D}aX03jDV4SU-`$IGQPmdExOn+d zJiQB3{kLuTlhe^-dV!n8=U^|FH(v<-a#ZK~7=5qPGv?rZO;4fq+@7jH>s0`UKC4%s z;%r9WEp@UV&L=#8&U>nTHROT6%5tr8Vmi&1>x5mqTe0Nlh2tH zyVD2$`J2B7!#<=2&Cm3{6u)=eSjWxvvfyIDGU$uC--S5NA5H)_+p1w5U|U9go1V#8 zv%C~%(MqJh`8w^J>+WE^W&v5hpWaLgboT1cso=c+3FJX^|252UUT`|C@7@jISJzrO U%5hol7`R$~5c=#`!l?BB0dl6(mH+?% literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/17.npy b/MP_Data/pose1/17/17.npy new file mode 100644 index 0000000000000000000000000000000000000000..01ea0523a15988e2819063bf797333ba185df7cb GIT binary patch literal 13424 zcmeI2`F~DF*v7|JwN#W^igGAo-?t_zW3Q#CeF+AM5FsQ)iNuIV>=MxuM8>`ZLF_^X zwbdF+sHH{(QMA_Bc{A6Yzu^7#ee=utJm0y_HTSvap5;7wV!HJDxm&+nEQkfWdU*#9 z3vhLFT$>MX=32{f9qu16K48e0!TteW-j=r;;uq+h%>zda8S9<>xmx`uO&ZjyUdst_ z{iY-p*mhNu+MUZ! z&@SKfM!Qq=0NQ!Qoc2zA@7eo!kRRH4)%|pTWoqZoe?Uv=+} z%r=#Ql8|*J%82# z^`P$`qIIBJ!Z;7h)Bk{;eQcO!KbyWcXG5R+Ah=BPz5+gW%RI|tKFt}*Gdja%MT)|n-zrb1EwX-Z2hiVfqSsvqTKAeuU zT)wRj&g%~$-slAByEOqxqRh-i}8C^lB<`UOSq2^_vr|UZ)p@ zUY2T4^S0Ezc+0u_O*}78_=U!6bEC!3|LsBZxzSeSN4Snq9@%=w^&jL}7W@wLR%I^t zuzKma8=MVu2bbP`I>M(~7`SQDk>+{#X7#O)eBYRS621U;_Ad+sU-k`+OYa9XzSCN_ zvs~?81if;SF^*0|n!okuac9Zrc_KK=sy4!MIc^BJ7?1%jFZz31&Mve7H`^Wf^W1ft zS}s%paQ5ST#3MTGr+G4a0_A7%V4COEi*WS&z5(^yERN!AH}Y4HY#&poEv-X76X2r@ zu3BliIGaMeVhiHIuV!1WZ&5x?Vmj(yCSO6lsoeL`uUPMf`Y|0oqTblESKy`&)s-pH zjOwk!dg2?Rpy&CEMcFt-ge0GykICn+yOEabhbO@Gtxw=$-~Kt4tGTO*M}3cabNv3B zZn@*)0j_So1(!S94u$^LyWl1zFX~4Q`3>__KDtakYsTQYOog48*E0SN@*uqr(zxu2 zt7v^>A@Uc&-_d*z$sGco>@eL^sy|Zs< zH>+nAPE$NpHo;$?`a^;Hj)a~cd`s)V<&$_`@%dYDailfk6d9K=kDSmT#LowWUG~Vf z)kE4XvR8GiAN=LEy3p%l4`y0_U5|mY6Q{xX$mAxL%aUJH{0WngPyTjvPs`bx9h9FY z{V31juQyqLvvDT$&cnWVF24T=#@BS)11|1Qr2Nb&f;@jn_YJTAQ zj3>C*9N}lVZvF!OI;HO+4>~@>2mG6X9u`dF@@+YAd9nRM%SFF`5x?0NOY@>wrG?fFYh9svF=O$3%lVsy z;Hq~a8iQwXLFu2+Dd6MNO-Jf`_ z&ctJSjj>$RUJI@wOTb_LRAH&*(kFrZi+=;Xs2ev8`sNqFb>q(zf837|mh0Geqz`@s z?lhQ8`$9!J=gT`Au`if1uMv-P;SKbnby?!Sj-mbWiyWVKhtMy77L9#Jj3LhNj09Ij z@B8s7UKut&{-xbngVc{IVc?WW)X# z7d89>)&KQ~OCH(x%W@k-?N!Vz3Lo)m9OjW|+Mu8Hk$-mqmr0?RcdFVf)RohQ>QnD* zg?eC3*PvhLA5QU49S%Leb`tfk%9W(}XPra8s$ADd>n}1g$^StQ%y&L@-W1E#+#VFq zHaF~p&OGjA<8(Hkqw#uDf%33$#th5V`nvEJO?F|QmH!PJ4E>Ey(3=n+a9!I4=RM&` z^U>+Qk@i`y15{Vh-PbOU+7pj+WO0XK7*^*v%vZ5P2(+R z^Sjb>Wo;$>%dqG6oUGIL5-&Ld-0V0w$ok7ZwEl}bbnfMGkFoCQFB>5qQ+o~KG()yx z9d?q|P@Hv-;kiWd%Glq{mMs*|(~pQ>l)5_K#>4ZT2G^T>p;z5X2U{+DvnX#PI-^ds z=hb){kM7k4T<1H8I903R*zZi&D)8Y|yb+J8s_`DAb${r&XG@B6>9DcZM^$VC&X$&h zKfhN$#By=aq4AANLOkY|FQ(Xd_=9nze=&sWIcYcMolFWuzv9hNyg!R%m#tRsq}704 z=^*%U-*%%d*Wt^-b@EG!Kk-$Z?N?VDjDFe3BdA;XGHj96tG)e+XEnk3%_&z{SuSo4 zqvt(W8}X~=6INT!Qu5O{9{Py+&Yj)M;M2(ydgWIO@vy=%%Pn`Nj6yu-S|a>)N^4)s z^#)oe<$fRdn?I9(PqF@Pm7#aew5M?_)IQX5bAA@(p{5_zEsu_|KC*f^<#WQ{=vQy{ z?*aeaJHXBBo8Th0@ps_Hm;86FK>X_Zy$RNzjXVi|mah%+%yK_Lo%11S6o0||XxGI{ zPqIGF(=y%5t_3G0A(x-i1_D>rt`u zgxb@v{CaP2 zRlVPAt7m84z@I0S0C)1Fw}<}?`aa2-@FvZEc8Y%fImPxXmqIUMKY_EK!+TgR^Nt4B z#uYvyGp-Kw6Mg}Az8e58b)J73Ap?+INbWknh{jb`xoJP#llLf;lKDS`M-5X{WG_;@RV%5DsYnGiS?m*vARbP-E~oZ|US8bJN z=MyKjCh{qco~1Y=dr>@2A*#VD+p_P8}vO@-HQDe$Yqg9AyGrFkWWtH6QE4kI^|?H@J>Cx%b`WmYbv< z6i>&|#J~UWo8_`5y;q9SKhSgi`4sCXkD_{DH!flQXD82~e&pBfQ9tS;)vexMit^^` z0nRp;Mm%iGLpoobqW5dZ!xfy*ABc5QzRrbsoS>F8zSHaUvCqrHbJm~OEtq$FYthLz zPMz73^qwc6cb>FrX}L&TN#j-SB=q8kH{&fgwP{_F?R_zhCZZ#qC#O!OJder%*Ab1~ z;U9b*{<>B;#b3Aut><(4fU_xX*hln;890Zt(&ypBwxl2))ixo-!^VHhfnH6iLO#z= zkF#7>xIp?CI&X{P@A_KKuBBssIRU*BzIT=HcAy@3iP@o6FW&B=b=dy~ z)ot>Pm6kjAZ@^#P7zoZ+<;V9nYRMRi=O2!7G!5S&e$_n&+_{|xc{7z3FH5ohiDOA$ zhR*Xcci=H+^5?{oSel8hJ3muW4R1=@#Z;<9y!< zTn;;r=hY22t+JedtPLOe!zt9cynZCWaux3juH7Dhvv+TMLZ6%j?p!`W^TKOttCVcL zh<*jmTSbyj^y@a3JMmSKH|@(w|9D(;%gxT8z=g;K&hkue4DQ#A#xdqBjf>M7?@dlQ zTF1l-I?w1mg=yX9vGCz@2S6{&{)2hyTs=VJ}=R$b0`Bhkm<} zUhbv$U;b-Ja9JcAdh;j-^`O@m!}qkpsWiee}Ib z;9}ok(w_?-30|-)tv?MiXk0F)$69|~s^&f0ZbJV={V4wdbM0rx-wk^HxH`q3^*!Pj zOAkTMk2bsv-=d#zu25_h^iC?Bi$vZFLAG7JzYMN^n}&FF&r6dn=M(c$zavIb{7XJf zvs@PTApfqp!NvTAI1lhHLGY311Hhee&B=db8u2>C5Wk!r<8OVO8Y{tBg=*j;q8IYO zmgI-OTvr<0EGdt8JWc=q^%vmXahJY`NSv|KHD3xDydFxD|$v@-hD z)7{8t-zxIoFdFAo7W4*O*G~iIgNAIhKBnSoa31#nT#qZd6#Z_03V-Ka8PqLb^q@mZ zww~o5M9&qN2kV#`)&=#?f9?ye(l*ih7SILn<4#a4IImKk^c~96xnkuZaNV~TxV+{S zV*Qmf4P5qE3$ERs&p^LlP(F2`&7{A%6#JUY^9ACU^Xg$8c2@j3%EqrEno&Fv^nJ4K zS7jx9UJw^If5LOAv(;8vE;*-Yz$N9B>w_l*bVcNV}$ zA3lrsQ|H5SaGmN7E+#FWWA(D=H252S73+iW@Cvj3W>gK*|3UxX5&J7Bt7k80e4R5L z5RcgXy|CPQOZ6#Y`h)AtI~aE}X$Jhoq{evfaOyl$@ZUrKui?I*p*PzeO}9S0Lm>KP z)dyqTom+dD?|pmaQ<7-E?wD)4{j58MQv5rg<9V51Jf2q{ zqk3=-H^Tfitt-&``=p1^tHuZ5&s>L&wLWUh1>(#0fQw^AJuP=W_oC<8{t)w>Hyt(= zar{8_;FM0I{C}K-?_F6&9L3W+kn)!6tKgJuANFuH@wlA-6PMgF6@1)YaM`8cMeD1o z#!awSXNDi;!O4Su+3GCJJ5g>U^yc$O%CmE7fc4QK^PpGVI-_4+z7+K4*?Mr^_6Ws4 zump|E=7I20{k-XUeWpbrp3J%6JZ>zwnb`)<5 z{L&|Gg0lk$p=ZnT565$boCB9%+@^kSoa%4;HB(Q4s~t4IbdleCTfJ%I1J2tYL!O;D zvDoSz6$36Z*TF{>4IdA_V?4OiX9u`Ge?h|kZCB#0j)I%oGa@WkE|bBT9DCct`X-Hs zkGxLxsY~9+yf#^*BCVeH91XoJI1gNwn}X+cJiWlpU-Z7C-)Z=p;{(8jYd+|8p1tAL zN0y}hf(=Nc_^*u!uv{EYfL@<^K=B9f46dUqSFSFG2iVKz=vWgYZl?o_IWMfb3ts51>v=h8a}^N7vaPWAt|47lhw8}o(v zcaqkJyVJTYo@vYr^Kn^2+pjoz7yjmOJdJzdVgDY=<~p+hxXP-7`Q=<1K>J8r;<8dO z&BugJ()#c%#F>7QYWtJxzQDPcFQ@Z{+S(HPDIb(P)3%#tTM#Gvj{a{h-nuTvedYV3 zU*}d&(zkY-1YT|!^v<7M)9h!}YUl!c6^FZ#KB_13sbi~RpAsL!!1*mfd7JzG_Y`|y z{rm7y0pHO6GObNKeD+3D-XeblcRu|YWx0OWllb&#^1tPebAtKqIrY2tchaYy$2!J$ ztOr*mMiD=jigO6RK9+b|BXIS@xz_N{RRG)^T8-yruRO7jvnT&jzqjdoT~@*`&gz}a zoOSO=9pu5B9T9{04_2pm8aJi-WEJC6Z2W^lz}d3Ss4Hi}1k5iP_zwQE{UP}9{9|`m zAKshZXU$j75Rc>Evm<=A({r&eXCa@gucUo>N=NefWi$B{Pl<+4W7?kNGZl zkuMoOvPB_qeWtguI$f*|;$->1r#!p$#&fCCo~Snwx&>TJ+fMziXyu)feIHLf2Ol-& zIo0#zGYWpbAD~yR1*je#%|X5K8mZuNAAKLFvQ~#$y*f?%jxL&o_(fu#X4YSqdQS2C zZozn|v4c_P{ON9r^FLN}R{zb6W%UM)!s%aH)r$_V@%Xz_^{bE1;{=tdyli*tt$-n9c33_o zKD|eaQ+|^ycT(3-9=eV|-q^baL6+;=lpp@I8@Mwt6?(q(GxR*5Kjr!Hd-SUl%Td4E zeg)TUU(bNg^t<4!Ojla>HnmH%+~g_^u2y7{&&SDF$GGP%iszjx_8oq)`Lq-p=TZ7y zn_PL7@_#xU=M7V!AM`5!H_$sSrLZsPU`hS1Yl}SV$YGTKSwDfxt8Xd)o6BNdGKS7k z`p!y>myWG~9=PeAeoLy*2`8gbgbxH21hwY5oRmal@ z!{6r&^?NR!_^H1p}&6({W=R4P=3~oZU_JV#liW?PP88- z9ier&*KlytU^3PvRVs3x_0ct=!L?UzjJqnQ{VW$p={=WM>4I^QspT<`gwIvzg)9Ak zP|khU%j$XGqKKcxGsI)=ssI}g&)bgp-4xUh3yScvT;!p3m6u(FJd1_xb6L)wO{6@$ z+6B(M|3SaHBApxA%{~;TTdI%kSFQ-Bcn+MvbMd%WVU{aBlKP#rj^ZCS2=#2vHU!tt zM<7m7H8tG!E6?`rM#qj*Xjqd0>OE5zyX8~HpM1HC@+k>+WF3+4+S zRgcz(I)86~{&Z95%@i*hU!VGZ;2mgv5Mv)ktL{D3fyyM(HLK+I-Lhh@houB=JznGcgBq)eYvw#w}}fE z!DkSi&-D`eU7xPL0PBhTK>6225-`8C`(TWhGrJn)&GQksoS%g8QkfK|C`8{Yn!t|1 z)?Y-gLj2+aoo86Su<@4bYIGixH7=0<+)e(Lvtu+*b;>4iQ+N-~Z_0(<$K~7d7#H>H z`XsA2OLFGRLV6!}T*l8y$>#EpR_NEXD~~!9D`PP4Oc1@Nt3LGmF_9Uz0{Z9{(96EX zP*=_ix8;^Q*L#zX*JT>tFX}I|TpXo3SKrovUf+y}1ka%LT<@$*^|`tP{6$QC_~_y7 zNdJn{`J@P)_w;-E|1!Vn1bbxrtF5$-iPuAs2WR|BVY#S4zsoi0Gr-k~-*66;QMEBH zY)BN1uh)jzR?mmE0T+vhf~%x%b1eV=zyF&V;HOW~eA{>BuB`(zsaPm}?>%}n=7~Od zJ>7CO%zbQ1_Eo!okGj{5>Hn_6H`?EFcHb3T9vFu8pC_D{Xt{Ew-*c-mrDz`v_YVd? zOusvE9$q3|^Zo*lY`t7n3qGb+I@WFD-$Yuj)Kc<~q~GtcF&lcqC#3-959@fD_UjE{ zlPs5=VzDlWq;~K(2gl=lC|leCm$!nk&a1c2upVarUV!$eHq)$ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/18.npy b/MP_Data/pose1/17/18.npy new file mode 100644 index 0000000000000000000000000000000000000000..783d4ec76c8ea85ec8d946a8817e7336955c07ef GIT binary patch literal 13424 zcmeI2_g|Jb)W%b173;PtD#qg86SqXIqk?S)mHfSU1s|V^rAw6Nqxt{#FC$}& z`@VSKoBXNT{&>@U^5Ki`$GPvvzrS+d_1MUV?vo{SyN2(92k)W12(?S`80~gqPqeF; zeP|b+)NXuRK62NYrQv87f9$1puN40+RjL1DyU=bZ$)+yQsMZ{fYdk z@M#a!e(&^R#=^_4orO=m?Y_%z3AkRZ4@Dlu;EZovJ1;z##EQMNc7huUAwq95%Vq%bjQ4z_}%E= zJi0~kKN?1HkB@qa>t_B=*9S)+`YHin5c?ZboI<*f6+d)+dKz!Tr%gLkDj`A z6)K_T%;2K^`&;l^xn;TIDnD^`W-;nR=l7fAxGjGe>%;`5#(c?_ zbz&Un7t_N>ZEFV~-uv$r;Omm07g?jB*J>{O<@0N_-ttbzdS}&V&31Y@qzTnSgG1o* zK;mHEWNx+`gWeXXj5^i9-=;Xdy>yV`@eaD`bn@<%>5j9IS;S}Oxa2r1?LW$KUA#Er zG<}JX@q#6qxXIlm8LSNc~{OA%9+BX^NGS87`o+Ur+r?K^FJ3SBC4bDDP z2N#(iG=@)$vEX`JV{mopXl3W4B7DGQSXyw~;6WJtx8+1U{P<&<$E4E@9haWJlm5a% zn#cI*A-?JxMLg20JJy-)7hKipMNB2=)t4Cfs2}$ZcY0B*0rJKc45jf#?p+R^$$*o`Bqg7`lN;V%w6$3CD{eawrgnjL!k>R406+4eN) zd#;DSEqF%5=g+>-v)4(ebK7w*#w#N|sUH6Q6>+jOi)bD7ABOm4$#GYFT^w(F%yXYQ zwj=yyj`GkO{b3UPM=)?+<}A3aP{zk`Ju54?nih_H%9z-ej@z_5;m^x=1h*OTZ*=}V zdLrp}wa2)$UmWI_H`xu&{tgG{ud*Ny{9$WweJ+&dF=NKA&R?itaJifO)t5ZM;CJ6p zzu}LO2Qj->Z^!jB%D*Yl5&ldRMZco;Wy;U5&!AVmOJKaR^ikrbFSt%!8+FA#cK|n| zPhelQL4iG;zg@70>S0SM(%-ul;hW6W@ww2e__WBgXmVdUJL31282`@2T9=H&7E?eZD<9u|X{lxt)gL4})!*Skt4!C*wBh~rUq-e)g z$b4}7(;&+8Sp&VQ*8^Op38wiv*s7P)%L>E5_4ncAQ>Nnx$Ay0gIRDldTu%AeAO4wE zk^Wr{_^WS)7Q^TA2J+9Go%BBjMLBM_#)F#~w0_l*pAo01oO0i+@EqgP^?TyJpijPm zUc6q1`vT9l9r5sfAHmtDyx=0J8Sal-e@}>Bf>;tYYJ%GQ>{+axX zmIW6@H%~P8th;`LQeUc}HK3` zE+n3{2lT3n2lOI-2JK7ZzYcYJUS~h*pWWox-`KI)p^nSiO~}7w2J+d~3iFbDkfQM> zOuX!ytYi9Nr2Euf+2Er+!my6a-yJ(RA6ufh%18Qd(5N567;z(nV7etAazA#JhVMcO#*=kjiAa8r}c335h!po>#% zIFI;c`hv9ocRDn|aT{L_{^I-}bf2v}xx3?R@OS9V@ZQ9Of^ptc*=arU8|!eNwVw{5 zPVB7+_~_-wDW5s(FLrUtx3eg3qgSF|R-@Hy=da_*U;Q%)T=mR6)N#{^@}?hc2G_av z<#t@I+KX|C*1f@P+Am$5KhH<|zigXw?rpsd`<}d63Gt{CD-ow&GaLH=52Ag5-8x3& z`rQZjchh|{;$*kKAbvf**i6^29eD;^9qtFcO^k|goK2u}g7Nf2o$#;smbrM?o~G#6 zMjS+(a)`wJj_V@ibG{ei5xMT*ImpI#qBuVbaFrA|$oXjR`r!OVE~>-JSw@5RDug^} zvjg$4@tsDwc+{;y(CZ{g@#o%$btl({(YP`m!}GK8shFtnoOKLFJYw}$_?xkz!O%aZ{Zmg3g1@S9 zbbg%kpXm*~snm$-@OqI*$Hkk;l>fhjDgUpw&2>Ji(|E)q#w5`EdbMfeIR9%0xDB{X zJX=s<$7S7ql%G>Ev|q(k#(tu5oTTv{tA{)*?Me5?4)i?5{!NE=o)j~}`H1xSXk79L z#>H6$S{KXdeT+>t9b9DIy8!VtN;!Y--bnkv&_AQ&l6~0PCJ$Y^+440dKR(0UcQx`3 z;x}!m&PAhVH654h)1qHhei_E4Q>X3%UalZ`^7Asdc`>dZd>buB+@@rEa8dgADbTY| z@Yl6+fvet&8bhDw6u8Xw5$6QexdqOL>gZx{k@*`qfBLaiTyi|N%K+lVijjX(5qST(92?jdpmCC=A`_D7QnpdM^9!s ze{-=f<$w7f;C6B|+-K$I3E(o8?rZE+$GOlCI#2qBZ&AL!gG;;z$p7X;IJ zVCp`^!^>5}yvQ{}XCR(NS>U7cgcH9KG|q8*<_b8gdNVp$jMr51T?t<29Q^s|>ZpG?W94|~V^`Aij-1~MT;0ht5quxrms!d6 zv|bLRLw?M+l=lM@X&(@;3qfy&(0NR!9f$GS$j&335A&vTg7NnypM&keRYy7xu+DYB zndhL*_m#>;;Cb(n85mmjEK zJ)jiwX)52KaV>8PA6?1=`DgQM3HY?ANd9NM!S$=iw$6v;nhMSedm|n@wk-NJ6N^)w zY|8}BXD-2gho`6K5wV=XN3|S?^Me^W4L<5vX3UrPelE!MD@*$s`8 z1Kj@GADnGUk9|_^xesnyrkoSHvjy-uKLlKqzKs2!-;GE8h=hiyAJvQM)^xs3d8_0L zZtLbjJZj+XaOWc?KZcJyP!!zG$bfxPZ1@3OJ+FiL)gRJfU90^CsNdjC*w3}+O*#iI zs|(ITk3-M8m8u4R&*jLQS^O9Dtmeugjz_sjyc~m?88IEy%jRY4#_i27#KB@>V zZjt}KafnkcweZn9+JT!3)o~v&OQLXY7jMo}zncyr9y4ZGq;GP!d} zkHtf8Pt$puZ;S8jxL88Z>GE+KI#-{6iTi2t10?kP*f!LI{>gug)3cYmXgw~x1--5M zdAZ}N!)+Q@_0HsT_}zdwr}v<9rtT;(kLKxT#Lr93L7Y4w73J;y;uxpbBT}B5Zr1>p z&j!zPocpb&{9K=nJlJPtHT-Q!@)@GB@5zZ}`Z=z4({n2uI+(ae2h@q!P4AQSsgdA( z##79%DcK0|%UWx|b&qSI&d2_p2b|S^4Q~7owRT*r`G7pwzu(ik+Zs96*XiH-feY_= zjF*KUUE#PWQWicU?@83Z=$R+XaUM&*Yw)a(X}v^yv~yhU+zGvk`wLv3dP3_u`W?6( z7ESs>C+f$!e&-jZJUsOUw>wwVbX@FdOnLjjz)kJmRUBtCt07MI{T$89F9CRN(*F&H z-rlG4jBcF~>rT&INd7N7(YTUcVf`|*A6%_V!o0|c@|YL-<4xkzXdd~}HcMQ;$Ecuj-s1Ts@}!jVI0l7vVqQJ*~;}5PI>D-e3dixW-Pi9?SVSiwOb&+R%mVDIfo&BAU zo#_qEgS*4W_AHI_2^;N+{YRyLh&;<$?-n_K{-Wd~cb%AX2K6Jdq@Cuzo8u|(Z+|O+ z_-)P#h+mwHgI<^Lxq|*i+{d|syX$bZA*p-yi$Tmv_)aw2|pv*AGa{6O*8cO}40 z``?gfvok&X)m=|;>DzCF)5~QgsNejx$!Ec_vG6Z3i1;kZCp)lo4*bu3qH)D$qW$nu zs}RSky)O7*k>l*_fAE)K`B1mw z&wc)J$yi?RO5>fKiuSjDEl~faP6vu7(*|%^s_8VRx9b)WuTlWqY%WIUu0nC-??wBn zojGu{)9ZFo;HvE^=-HaY36869%BQ?Q{>E=U?icKSI>gW4()$+K;0c~P%=)VE(fjFr zvJ5M;96sezelN(?7~|4)E3RE;AF@N=Sdft8+ z#rbq5e3W@l&!-uefZGQ($$$5esnGY2qC6M9aTC5(yfMG*XbI?fP5OODit7e=!-s#HN%OU%f4JkOPrAqMlNY0NxXSQ-8@^Yh-^KN+L>h0aI2!Ln zss}cpGOb@x1^E$cpVPRy?}NWB-ERrY<1 zI|QFa2cTbFo8G(HcX3#Etnzy3)x%)q+2rfn&H30;GoWX$o1$NP!Qwg5oL)!y^gBlJ z*M7Im`J0Kfj@Yz7%EOtcSCbc2yARGp4*R zYBpp6{PWBMXKPl&M?M)b#Bugy2=VsY!Of&|%5n3mIk@e41e`BY(eUx2-`n-6kh{Lg zI`O^}`P>bIUe|hr^Oc?0d!p0p4g27-&&8sNtJ0Q}{n&fxrHYH;;s zBkErrr2jLpTdq)?uUm#Xe;c$3dRF2w@nNyyj!>Y{oQP-NO8uLqjgK zt~=h5#(TdlxV-XYIQY;2=|NPqan8T>X!z@A{_xQUk6?Ytu3u%i3ylTn8{?Kj+)*}^99Vb?dq$26LQeOM<^zx>>1 z^egU0&2#bCsXt>qnwcrTtM)jDetC}e6lX+U^vjz!Rfy+K8*rO(E5(0dTa5Ejr}t66 zR|8PDtli0_&|lh5<0_d2`GktEV#tS z`Sa>;DE=y2Xy2G$kLo<<9{8Js*C_s5*>Nrs?d#FF#x(_(0T&lIf59WbRo(ZL&wE)B zr>L2-FI_2zc*LwlBcX4RQg20y5+7G)l;doB0Qyx23sL+-Yb(cf%r@%x>{sMjrx~}{ zakZBIZ;e%==V(^+?Qrltt0+IweJOALE3xj_3Ca)a-U^)eDLumJh5AnYX6^#cJXTS^ z3-VLH{`B0W*Sptpy;abMtV=)9^w|B5`@wt>jMN%tG|TmBQc zSje$2i3B=FsR_$5U#e35UtOH4*JJ2;t1MU-yy6d=9JdKQ5Dy!Z5`XjJqoEI_b32cl zMf+H*28hSjP6Hn^b0PeB!UQ~*DOrHl(V;sSmzWf>!TIo(<0#KjPf>@wSx97DG8YHw ze8u`_Mm%QgXynKCUktr0;0G>mb{PkKv(?}x%OcWO7tr(URJSZ!R^)+aO6=$KywxGn z2W&yVqT>GUj?1R!D4r%uXD?whRF zeRokFLJDDB>s8B;e|D!NeC)17)HACbjQCB>vefULl>fVUeJ;THuy^#HSv9_ZI<(Km zhC43#R_JwySj1^YR&D3vG0je+U;S|@)rofk)`gjw0eboHHq~?ce71#(M`B+xep~QP5z54P4=3RUU>yLP%Yf>Ke z`(s|zl3%cn?3(M)+caNM4|Yx3_D;_(Wrbb^e}|sGUmxn?VKo|(PZLA>PI1VO_NRSS ztelHHtGK2g|4f$a@Zr$2+q-CA&1lds^V*1h<C$>s9tQYaMJmyivU0DZx*J`Bi7C`fR6!#aMeEhQux%R^OCL79Q7l* z2l@LZ>-CtW(3@xfVc+BDdq2YeVVx;L|PW#W|;_%Vc z{~>;C0L|A!iqqcy0Y0|zt&z@OOrz%xwv^VX$Wmko;$(ClGiff8&)!TSj_VP0&Ns_8 zf~(iXaDKCe>3Q64=kS-S^-jdUiq?zhPtW80DE&X1X<3i*>FGsv_-QTHo!Qx*=4C(q z|Cl^DAM;{P)COlOvZ1a_vEO3jT>K^4f%6-eF^}wQy%@*!Nvd=CAmx2s{pAxKm-%Qv zx7M5LGtwLW;-B)=@1~Uh!@TQ<^NEUWNc?jd8gIIb$Qy4@`0so^m^2<;IdyJxZVB+Jh|!r|NakVz=WJa-N<nk7~4kZahx+xrRr;_26>TouAH0KBDw~+PAy@J`DZjo=^Q|9z^%$p4kV( zf8#fBzK!0u*a;VLf03zIU|--LYQf)bxH!T2@aUJ|x_SuqdA)AlD92g10Tj=gytGcU zziJ2W;Q@a+qY`~)TGP|@%lro+Z~Rjr{8@!b1DsyA?hLLA(>X!z8_)&%GaJBdLT>mo z-+sfv4^*Q#CuD@bJ%0ju}G(CPeI!kb%e{Mo6p#sS!DX8WB_|rQ}$( zccfHtq$pK_irRg0K3D#N=hx@)%l*3F=kxts*SXI8-V)nuV9!2YxmXaJS!(JgA#=e0&p4wx3;Gs$~$z$ibDqG==l)O=bl0BC8=GN$?=bDhWJjML)8AqV`Kew*PQl-$1?2m#`_evW+-kF}$e&Y?|J1a-rwC!T=oiyw3)Sz}&|G|CmXVuVu z*6`&S+pfk^yL0ml`X^#K{%&=8XFkN|`*ZxS6{GrfOQ-hJd+*ri#Xf3Rt6w~U|Eihf z(|SGpoy(t4UuTcLi}ul5sl9l|J@$Dia-Lt&{~6k6mxJDvX?EPUt31(vTh9DWrr}d= zdXCTNA8(;O><@f*uJy*J8FBozZ8xW?T(Rv=+TlC)yIl32>V9M@;_IZHFKj#WO`-fk zics9c?cP|uE)sOzwwvy2Z`<#t5{--T9ELiYHBVpJcKI#{&#}Epl>gQ$cwP?Pbpy}$ zFvdPFhQwi9RAwK1XRq_%dEO)f&#Q|C@VtJuKFjL0OulNLXXT-d+R-TULN(&EiAA54s{o+ zKD=z3{au`1Lj9gL8tv+G1I!0r>*Niz&&b5{PPvz8*RA^9v%co&+55KL99f9xh3|c| zJAMbyE{}^Vcs^nKBj^{z<`LO?KIS(1rH{{iYTNba?@>2>;5gcKZ`Xv>Z0@90dxG{< zj(Oo+X@R`e;rB7NUF0nU&L(~M4gRI$H-dZR@VpB1ga76Ry}A7})`@6Z2;=3ns=LnW zWyL)3QMre~NAM*GE&v9#XZSFf;or <51W_wIpX_g z1laFtRx0#*c#CxVozJWlW%Z)*0pg>^-mu*1R(Pr9X2~LOv$*6n%f;b7VV3JI)hW*p zi%x!|^I|rJ8it9MizTF-e8Qhg#Kl}9!g>5ounbD}oZt>d|*mDS6#Dd0+U z2A5?XdLnM|a2l5b1Bv%K>TZ4Xz^}obS0%xX-{NWDLrNkaHtZF~kx!q}*>cr?1^FL8 ziE$KXZ%nfOqQ*JmgAal`lYa5H+*BGt{OB{{>+X#N-`^UXXVj&6vOra}T)7nhH_g`| zA2HxzxJNc;d8bo-O8e3}eKW9%)r;PZpm*kMgO4+>Td39Z#~o-ru{rQj&2Mb9Tx1*} z-nJ{avtdmX{LlPJajQJV{O2EY&xHTq_Ys#zwWawJeF5`LUwR2H8vPC~yF9?W72%t} z&8=8)bABV{q1ieMT&d@zk7>Wq`aADWkk5u(G!GASrggC?0bK8?0nQHlMnE6uPCk7; zf*X(ABP`eJ?t+`51!=uMr*+D2Uk2x+0?{wFWgFJDId>Oz;3rOFT;z)zRXl8cwzP&` zWYxfWmv<9qS$}@s3tazG2L8^&v$2*d(~J1?6Y!VrXRr^LBJEI5_S2Wp3r~MftCt0T zfu4Q88~)Cg!^(0e%8&Hzb0Z(|_e}KHB$Nf$Eqa3UuzNwsXLKO)XKNRyd05|rfh+B& zx-@|Nb2lgbivqNMPkn@sGd7L-+vH+%>m&N-+#62Lq%DzQKQ4%TqAq$_J?}OKT*~3#JZ;HX_+({L z+~DW5-VZb!Z8@7c6ngD=lmD3ym{%hG64mWVCiEiT7m@G@JPIy;n+z`B)Wf`zmHLBg zuXET}`R%e;k9tiC#hvjr`E>0t%Og9i9={ZNr*0wCnT>lZtv^3TdY-iy^)!#i2U)#* z6#^ewtR}b!kBqV0Y55oO=LO<1|9PWVE3A*W{Ug=q`LDDtT9?Nz$XXiFv3u z(!Rm|NyfQg`eY#=wt~)CxxO;E7XLvn#*>dIdYs~JZy0U;`Cj7sc!j@;9`6X^y5^wc(wTPXfW!gdz}TBO^(3FY^#EKWr|G&7q1S3^Jj}OF04J>Lqt|Q zxG39}=HYM`=vmwEurKlDvnj6k0h<4L>tTOWv1g{*eDs~KDgU7S7#Hb&0sR$| zmRv_a??0GrKV^6kT6aA{v5vIs>A}{=JnIH7iZ8rjb;hGR>M8Ef{NxQfVLqr+#SvG| zr2Sd8odCUT@dERoHz$FK+2>*2%&k0?Xy3`tX-iQgP0T$OLc8P5Y1NFB=j-=kNIj0hT*EXg$i%AILvB z0rQFt3Wbm3eF62}7oUq_pD~+zAbB;)Ot74}C~(vJ z0{X?>nqj|HRd*sEJ%`R&rA{uhaoL_T;4*AF^fJ0T_D^|_*1KBM2lK><|2YBvg}cLF z|9lepsJBh9Ud*oQ@L?~fP(HU`;ys9084SJphwd%vMCU2iM=oebd0wwX{;{iOS*}`C zMt}M5N0E=}#KMqg-$~Gmr~atFs1Qf@OlLacn%h@?w>l?oz%J-d)FS`gl6->OO|)E= z|BiUfd*rWk{T82^&DlhU#^vle%v)Y5?<%X;{fC1K_tx~D8xy)Sq?xI~H+oOXMS?|Dw1Vw+C7-JMAXk{Ry~^ zA5tH@vp@W04Tb$m#}A$c|4ygj&y#wi&SK}-82E2Yhu)Y1RFCTZGc4EdDuIhFC#i0o zreR(1XD1PtHC+yF{>=TI)w6dw_r_K`u@9JpS_^GlxxXvkJ57W_@# z%HXn6bQjCbqEp~%I0H8!2fL?Q{zV+=x8(=tXLk3soE^^jeQA3maJ8*S8Ss(4NPlh= zxHI`GjR)S^DC^dTok5zuWWe-`S3-{=)BH< znCg&8>q4dH#eSkgXg`-9LNH#=r>7A%PdzUU{=8Hgxc+?73;v$@sb78xSTCwyuJ5g0 zJp6+4%p8pV@_@g5EmvWS!PTAXnCEiPS>!4I$(bjcPE*_?103rwy@H@;lQJo8gD&&o zzkUJLx$8!%TcqD6`2SAlvOd)o^Pe{#GY>ukPEtNS$APme=?g4p2}i+YiCv^0eGqkK z-y8zxD|4Y=tn_Kf!z=J}qkGeb?T>Er@kBM6bu5(W&{pj}K&fQZpte(H6 zb4soH8eG+$I1@agGW4d-^*bImzoE~9EY|_mP-ixH3HmEu4GOXCPAR&d=#gKeo_xi* zg;uY&^rd{-xT5~*ZSD4!JKNpJ|7LySB|Wj9=t~R1Rij$SN0yw7xTaoh#MO(+f%CJa zmLu-Ux#T~w0DR2MDBK@--zegDN@Bds&NriMTruSdaTh~*mVdY&`MgR7cWO)nS0z8M zvYfHI;PPJ&($D#b{nMPG`<2}N8}@%5w2$UbF;A=`9ZmDr#McjoPxUt7Cb9zZaok<0 zp7$P*e`p=zTY6!il>ac|>pU^OJn_Hb9@*Kb548WND*LeRMDL~;Uvp1DFVfGGzS*zb z##IR$P&eM{D)e&d#X!qV7uuKft0^>&M~jD8E{caiFDg9)XAi<$E!SOc!Qb>;fIL~d zJjl}-G=TCP(T>iMyImGTKjJdYlh9Mh$9xkJ?qU5Oa_F5eYQsl=KPk|1wS?Z|RLNBs zU*~<4x8>3=1M7=z^T9kcMVqezH}rcB8+{0R-K4s-++_Sn`lWx;yggPW(Q@W;3;C#l zBgto6S=@6(+BoE+26w?Yn$qdWUu>ZFFLU38>RdZuU23)s-#?M^AKVU{{ndS?<)#?D zUx+&2Q5_bQSC*@NHK{1%)r@hLiTuDr2sP&1Xz^s!!}~nzxM}CR)yh z*MpBLk_Nrpa1Z0c_xh9n@t5RN?dcHc*X#i|o34S28CP1^xN7Jt;+ZSJdF_4ezz0`D z9e8jz;&J6$TF%`)sh%4Pfy<_KnprMqwLqTy{4M0kHq63%lkPJGdhv$tGiLMyoKx%y zy%&o*zR)|DZ(^OQ82WuxUS~A_^HsvQ@bnurE<**4@6JZ?$kUVb&M12S6SaW+M>?7*J5ySFAeuSrv?Xic8vo!Ur!is z{pE%-*ni}?C#W-P`f`o+5&LRAwC(!D1)4way`t=Q-kpBe6=xfuzdWNN^4H%UfnGdl zlxB4%DUR+HJ2${zELn=UvQ_8lwq4x1N^uu10B3jWg(99$Zi-uTGUflg+#JhU5qEIb zCNH=yvt$Y4>Z@s%^8(kv^$(?xziRUd{nftf!POsih)*ar8b1B=z~9+f z4%`{oG{kass0QWJur<}ex9VK@x1R{kPkK|_XwMkS#n=Cm|JY*K$9V4LlPzb}zajmX zo5`olb=+r6x3}Qt;tg<7px}0^m!B2It^1ht`)95}+|keAFJdcWKaulJV_l0KUc_7F z$3Dh8x#Qf?fdeQXy%XH2Q3LanH(UkIhkpgm^19;QW&S!u`m+PT#lkURsoD9MSz*Lm ze-ExNn)%?H;>l-s5;%Xg21FAM;`#kSF56 z#qie!(a8F{e)-kzJD_F#Z3IsasVcpA)aiKdcM#F`Z_N1fSI! zK0*%xmwoe2uzAX>bHVxH#@Fq4^EO)9Pf@=bp&zXFW?5E>-0Ozs{e7whgS0zH>!+X7<{=Pqn{yMw+gNxJ_SidS) zxn-%@dKvwQ`27Pk?q#}9u|9I~MR1e858SC!e;D|QzErmge`38mi4DTQbJO}VF}D!c zygG^ds_Fb4<&zSK`tZ=Hvus@RhUSl0@Hc!|>S}4ZKDHNnb|(Kd>&u_G;@lDcjzL`G z%AnWVyJ6jFw@uLNrejcNC;gL;^-+BnQ{CLUA+F;$eFgkdw-7&&NIB$1{e7yhjvT=FhFQi|-gY;2P2H8B>H6L*2^BL4xmzx|1{jBArUrg&% z_)W%rO!cDwKWD{K;G+v2k7D1FnB)L;JvnMEJ9QL&*Pae)1Wy4)dRXr1OG*yn#IV z&~^dVpQ&xoD=)gg>EwtY@E!-q|6&pN$j8e=EjKSu63^8doPRNr>JW7ooRtj6dQlTQ zqF-`CDXb%TDDsv^_VcpO;uL)5$(e`VrzxMVX??A~PCf!3>3#{^Y)l$vxd`hFuKFy* zxa&LdSYJAJX-+;JiO2jIZuM+vPjE5Q2V9lbq@R=o&YHfX{mp%SOT^8jeN}nTy_7jC zeLQSF4L6eifCyUe;clp>T;N9Yyhi}mk(m1)^Pg2N3ogbk#CqYeb!S^2=OqI-`DtCS zab8_*T=UA1|M;BWZRUPc-0DqMeaioMBU;yMAJaMVs2;d1FcbdfC7)w`WDC;ENl&lZ z=lQhalPu@)wGo$jb;NlpT#hfa?aufl%JVb*Ugu2Ru-bCN2f?3J`b-UnN*pL;{^ z6zY?1zpF*vmfBA~ism`%ITZCYKRm)Y<&2_pjfagw-JDJ(v5s`5hveg0273AEhYj%G zvJ9LT%z5wg>b)HP!TrExdMxyO%zE4t6wjnOtXd21Y+63e>gAx#RJR`Vd#1d;9``*{ zl=cm0Z7b66S>D3x)oc1Y1aWmc`m2{Ix@U^#h^t-3(Y%fRb3O9R7e)CmaHBf-T*E%; zB;=fHFX?wh_N-Jws?Db=ofkT>FMLe@mcihWAIN{(5%`#9?erw40iFF}b z?L}OtW6t^IOTU|$`)k9I&+*=r&-W?FU*Fz=_pahDUL?`^vdaWL8>X%oK)v4L-DrGykzOx^3`TT!ITh9D1!bi-1g}U+NnF>Bd-a+q_ zD~kF%#nxiJ>9mXBd;$G_!d)KDvU+it&K=(IHRZprM>FfM-@Syt5xY@;dGRUgV~X!5 zpO9aXKTmLnKl{Z4dgo>@a3}M4ob_kNL%{XscXVEK%!NEvMk0LV*`_p4{+S$V_2wMS zH{)LqTpX-A6Fx=hypXSJf}6BJjIZ`hhCgfh0d+PHO02bdCx*@`JvNc%)v=qwmhy9m>`sjvz!BxS0A&49Pf%LP7f}6zr(sFgV9O8;Xq2SKBf9F}QL;nCb zwR$3-?C-n4x0MEW5}#7s)w8jWiC25z&;G50bH^#zVNR;eb1MD)qO5uw_18bI#(hHu z(Y;+nd;vWx`F5$*>(JToXH&bN&Q4_4I2%`1>IBZaeWdz_l*YcK)Q{A!4~ZBrkx-?x z)tec#zsb|3urB1{yGfSo%;C^G0rYn%GPWG%kCWa6T#Q_eeJT5%gL6uq%SHWNx(5Eb zXcYEa<5!8!Q=faZuFH3!b+j>@>hR-Vn1_6|*KFG_Q))5sc_omKnmz^f$-WO#K5q2? z(aNJ^gw^YVbl%B<>!5eed$0^|A_o`UevXM9HFDBQ7 zk2CZw=ChOe9r70i>F=y$wW~C*OhaGmBOcKGfsLTQ$50+o(=C^C=sw^?ucv%mT?g5G z)cP}sD?8Bd%to!lx-e;Z5!b{S__HQ*meo5!>6DLK4CaZcwzDhz%M=6GDSa`%Lj8t) zScK9&Qx*uvzNFfmTVj30Bf8H>m%JEvo;h#4<>n~8=j#2vXk6MA#X6Exu2bCJ^m_~Q z={v;gRdiA0&u8bReEOUZu=zMYb)b4qIF9+lX9S}@{73`GFV*Uw(fwRiO+wwAiMzkETvnj* zV$;rno0ipASnjxfOXHH&i|TwO_XhBt-ND)PoPE;oOh=Dwy^dZ3E>^$5zNgl8Z3zD- z_rQ7ni{OIS!MrjN6_G!S&fyhSOtC(qH|&9hQ0XZ@q0 zH-+haT*Pm{`?!c|Lwqd#eYaC@7uKD=+z;IOq%kh6{Ctdy7}S#Vu4QRnjcdFl{8vwFR;pF7)6OUs=Zf5D$$)wIu7=zw|X zd@&q)J|>R#`QC*l+c-My0Qn>h1Lu0q^&^e_&)uPn@0VnC; ALjV8( literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/2.npy b/MP_Data/pose1/17/2.npy new file mode 100644 index 0000000000000000000000000000000000000000..0d29790eee1b373ee3e47b1309d49bef9b3ca13f GIT binary patch literal 13424 zcmeI3^?#N()W!n?HoO}ygKP{h4jpAcgOviqS_%b5309m^!731n6ff=)d<+{hpvW3@ z_-H9!AlPu10Yl#AI{gdYU*DHsp3nWwbzeC-Imw;-dCII-fi2r~%*2MW=(0U~Mf33g(mzG{s+ZiSYF6<^Qu?Pk^ZBW}HscqgUFn$fxc;e{b?tHlwX6Es?l>;a zj6}OURt4=mJmdbQ-7?zepk1}5b{3X#|Kql|;G63R+C|r!*POqYoYCIt(oNT{ioPKK zwrOZLGpSws_CveQT=fFth_TeZl-kA8d+6Wph`#9Bb(e%>=g&t{yU`bK;JyiMFn;st z!U5OL7G&H%?GeV$BK^~#>+EqA?WZ!@1M47ux#kYq<=r!vUAs9z?Xv&f`|ds-KM_9W z+>#@%U3B_{{K|9Nueo;F_W|1N`G01)b{$3S;*R%Y*DlVze&Rm$%>NLdx{&pOyH=fs zATQ?QUbOQ))z7>8W#2xJT)W{O;KKXJD|apSjluZUy^2@dwchhN)qQf$zbU??bI+2} zuhrfZ+-H)v<5QLH^v3Db%6X}--A*5l`^}4yDUOR4MKBM>FWXDp@7DqMNxvY(FI#xy ze!hAq;xpZYk$0Q==q!AHdt}`w>k<9J-7j0M!u|TfUK&Tujjvt1h7%$pd@gemkVrM|Z6kZC;n;+6!!`3f)>uaTjlkcA0ZjB6x7}_wLj7YJ~fF%Ym6i z`n3)`kNH-2zj|5UU57SB9{BB{XqSiEQa!Xtvh6q&a z`5$jZ>;7z3?YQZBlk!loBh8m+KhJTspb6?q=yk}Cu@$sWI_IfRXq_!Cjs29b8Pyy< z3w9IF+=%$f`~HsW@5Y0RkFCM&j()|VuT%$I4a*KLn--<@c(DlL;pLuT9_9Wo>$rYR z%tF$4*oS%4M`njPAG!7{xbD0ST&!=>-*J8*1e`U#4Q|UG>EpQA)`;{gIn_z%LqEsW zjNGKZGo9ku?jP&p^mB(%J=6}ty5o&{)pmN_=||{!&{C?yh&w}_o|kAw>v_Qt8gKof zSZ_SfA>u3QgBySENzm7L3Lkm+0qS2aUK9iW%#YBoxzd#CEilI{$5p%kz*%pqE7tZW z)SKP9f%3L-3G`|{pAP+3<0$@9Z^8BG=kf5rKdO2yyc_)c+$a5;9H<|$V-wb?DR+hVv`89PathY9{&)v@V5N3pUd)K& z4V{lvjiG0QN@KmVO_#Cm^xp2^GHYS@o6VlHot|&%Ks@p={LSt1GZD`!U&?3gqR^|u zHv-_FkPN-Z^E>(1xr6#=X@j5__g|sT#he9Wou2(!g64N$J;bToMvrh@Jc~j6W=wRd zPx`eC*f9&AagzKi*MQ#coQd^l2WJB}KPD5;`w z!R@Zx>z%({HjRAlNXm2CL(H!pv=5veRy5w!QZwK`f%2msDERR2ZU%!F3nhJlKEwy7 zV7-VuZ)sfKSCI!Uwt|}%lz%&_JLUg#NAzpQ)45F4x(mJD^kKGXSNAB#i$Z+Am4w?-kK z@^)y1)3Z25{Lg~mruVTKj*FtNFkZWSE$W|Dt}xU27-qo5%$wjM>No8Frq?`hS++3p zqsRRi@APc?5^%L?1oB|FFswWIpeH!%KZ5ihScuch_fg<>_jux2{y_b(cj4eVr~|kx zqX#;@D7&8g&lZC}uhVWJ;_SMad@6hgy-+hoJ8rM0f}7{GerG6s9#bXp_y)l?a`-HeoiUe2XGea-l zQ@`>=9dI7{SG@BP*?)tNt=taWESaDj=N>D;RS-SzjL&||uNgfbT-;g+y)6-k^=Q6K zARd-N{$Kb&FIxH%Ur?9kab!63wuL{{L-hv8r<@zT*(beUl}6_izHuPs`9mo@@Aw4r zXN@|;UrxR>)WxaxkB7h9*`MNnwu$m~GzDD0+YcZ1q2mmUx9Ys&`pgiP1iGIzJVC(~?>I>@kQ!A`@GvnS!=c8jgfSVWe9JKkG zbaQd)o+*f5jQO7O@a4s^j`Oy)D4#d>U2xZI$@Na|Q+ECWJ~k`_Tm+>JLVNAr(DO^b z({ucBSv)0dpf=8>J6^iZ=mx)@!^Bu<4gO1 z&2A9vWH3L`8n})eK&7x-TVN*-OpAWhc>$qxA z8hH?(w<8{2XnK_MF*k=nuc!Ax{@L}{Sa}DQFLnKjCldW~ehPKVpDmv4^wQ@SaMiJ{b=SH~ISrrHA?Q~;uSW5g z@3s=$FFW+C#h0`nu065Hadlr(oLMW-xIULz?6~bV5b?0rf54yT>fhgSHj&+i--S^4 zE3fl&lN=8$54|eU26+(X>rsx|f2UGBJqIAqHedBw?tb;d1RB?)Tj-Zf3~25+zqf=P`N+b9;IDVC!+yo;OdI038FU=}@OcDuGP=1XoV zPClMTF)lH*CZ4CN!6EdkpUfmae&;+Fk10;iDN%Yo_5s!3!$KK%Wmco}8Y)5?T=!uT= zDWBjkcN8K2SJk{7*WFK3{8`@PoS=elwo7vUOO}C~v7f-r;*%X6XMcu~zI0jmh$H@u z9XIa-N&lo1`QM5TaQ^CHMa09d+=LH5_3c{6^*wqY(ZS~^PX9|i92WPoQjvs^s(Eu9B=t)||!(zbM%l2bjoNCs2aIxVcxb`jfi}N?0S>dDh zEX8`!lT%hZy?w)>H{O95ue#$W9hc8$gY&SnsB^>e&V?Xk+z)QTvtwMUS99o@*+~5Mba3`hP?Ymgg3bv%Un}zIunXKSrubF9 zmf)geff%PZvwD%wxAnnQi4<@)yfnD#a2e+res}6{_>U_~b$DVD#;Ye+9_r)96+01n zd$>CC$x1b%bNK1b;PU?0$Ul#bXoh}&tPRfcRRq_s`?qmEwgR1h%!g`-M^=v;hJJfj zpgOr!2%PPyl;HF-iRzI5nhiek>JvJbeosEUU_s26&c81N{kD0He)%^y5GNmAYzcVF zL~#8k0$kRri+xh0-6#EF0d60cpNDvQMpOKmuVDXIMZco@x$B4eG3R2@uk{Q^{5E?- zs;l2if{XDT>3ro){)$%yHx=$j!vA6x_?zQD)BNt$K|U@&V@iRGc{{M~?7bCHPA?WU zCZ0PLdi%b@PvHAjA#ePbGtl#L%V{6>`T%ZziJ-cDO78{wuhHP5(PMCR&%1&1F>z_| z*I!LWoHEy5#A)hvA>OGWo+C2vvq?^G$0d``?c)?r$2=o_oKJm=PVd#2#o=%Q~US->dda$eJz+W8ON&28$(5uncmpdO` z=sNVgac^*=!$XtOxg8ye_*G*+%%jd7I@xjNyMV^^DLd_Nty32{ZZg)9SkwqyC9atb zK7zjYV0-5y59U-e4W6$W`ODSV_e{P#c+awv>Alsw3kSE^-(!7=4^wDdtww)XY_Mf)ejcgA!^zhnMG9!#sZSQlc(g3&&1Tzy-Evwq1m-fk0C zIIa%U_tv`DDbzU|)jP~_GljmFU~3+MtF2kuI4&~pqJDGy4K5q4Z;_PFS@3&sy)*&b zw9DMeart3PT7k<6^!=L(Kitr9bMz;~DYu_NoGi%;?@c;0z1OIK z!Ib}UwefthotM#kUuB~DPxQmQuxu83_Oc<(Z|txou3sfdFAik9 z|5j>7{0{AJ>i%Nr?eq3ionF6rK=Ie5?=$V+p359(FQ0&$76ZsXpaAv_Ii(4>su_=Y zv0Y6spLDsoPwxv#{|3&_v}^5rq;CxAR~@2xJa?4#jrvWHXH!yvv)!5dIv+8S_Gfvp zE4a?pKE!c74_V+L z=vn8csZOVSy?%9{?CLt`P5A}r*Uou6)N%VR4V+z{2`<;yh=%^>+|=)(7;y2lMV#Yi zt1q}7mk*q+&qw=w){zwdmvO|K`I7(XYs61;s{aYkL!FPzNAa-nUc|c>L4Ne3yzp1i zWx?5;H8^LoOVucz_RYb?inuX|fBaC2XY*k6YfhAy<+z^vp2pj_0PW`m?+kWaB{U@c z02g^4(0lRvL*V*=%-9cgjPvLD;=yg} zt>m+O&p7ZBYr*;Yo#eChKAvkjFbCpS+3R5+X31*@x%j21554S0-zTd{wU;{|{g}82 zp!W_|Oss%^t!T=F&(?G9eo^X1JU%DH!bh1z>>IkYM_;FxjaGr1gA1|Wsy|L7z~}CA zinDxEaK2^EWXH|o@$lD&?qh$DKYxe$Rk|wlqHf0fb)uJszFubN*~&n~V>)G$@DKJQ zo)SX5K`hPtt|`RpH970!#<{~|x%(6mVgID~n$JCD#lKlnVjnPk9Kg*nps%i6&-u9L5^-kI;KQI4|q*KoMZ9)G8H#~^UZJIBbt^`N$EB`Z9nl`U#B=3V&D)IcAG~hj+|DoFBp?4H(2K#F z`=H;(so=cNJ#bs&exU1@^`_sw_2)mp*@nc<&_@rTe*2zAp5?b;^Pu0lfVdB>Q`YcU zgySlb>Pi((qJBk!a@=kVBz+qFKBz`@AMdz{p!KCc#$NYv*UL`AM>HM|y<{(FUH@7; z-swfXaB$mxKDb)a8sk-y`+}=~=zT|)TmXNOs~b3fpBH*vF9G#0{-XWF*0UM;nHuK& zRVSKXvGqB)e13O`gw_$y; zw0WdI(E?oOix}nfx?u-!d#yJ(&vX%bnePv9c{4NO5r1v+fd9jss9SNm9k{AGpqEd& zkGlRF`SZ!B2YogL-<$E;KS8f@$6*~AuO!sJk)_DzpV?S1(%VltAGRnDxZZFA>q2Y^ zuIc(^n<#H0=SIwzJ&>yg`puv5`|njRtS?#eAI!TbPh3x@?|apqSIYU=LG=5t=M-S@(p8mV_2=Kr9k-oH~ zeRbBG1jj{o%CjCS>3MOf8R~>Ln}EFWas6l=Wy+0pq&*(Ohp`IK%e$ACIUjan9=J?u z1I|WOo&oOF8CF+w&<(capX9w;>FHTOvdN+UcUIo3^d2oJZKk8qU`2Ziigw8+g?_djE z_fLqEt8$1_ehkLAL{RA5q;z}!bSuSw?@z=pt{>~^xUQWFe_7#6j8`AZjq?M$kp*1) z7Nz`qpTW6>FSrCBbEr1Bn)Y_2>t6=ab4L|s$b%?RJiGH}k+0!n_8&z4?T{?m>1|GW zu9@jq5x>f|i_YPbe4uCb+k@-KuJfH<934h+UdRG&KJ|u=8Ao+4VtpviIX=P$^=zHVa-_~!nUpUG8-7YbL7t5Q3t-#&Rzho)J{MbPi0`r+5tgYz80Bft++9qMk8 z;C5-fq3|hmnf!}(A)f>m<+yqECFP-iZ*Z06$I;;b{XpY7G#;FvZ!z9+_WUlmo}KYK z@~t_W;XjfSZ~qQ@z31En@Vpt%k?(7!xoh6{g-UXt2gf2Fc9PCZcIiZ%H&kz`b8(_1 z^mao&I;SlgMgBvAP`C2l`+4x2))btntjNFeU4-`w`*IijEnf%DBF?lxJg09$Z)TN2 zJ=j~Z8yq+L=y@&fzefBlAuiT&orlindiX-x$NYm356?IciKhy8g_D~@_*Yrku zkCVGsLvJ=bLOw-n%CnwR0{O8?@3H@|g9nfYbuAJ7%GHUToxl7wh4_|rw62e|4?@3* z7M$;$3T|%|zamwbKFeN^s5$n_Jj zF7#6m=+!m)`y$>kIL7IP=M`}4v5fL_tzT>BFU}VM7d6^pe)%^~un)7$bk4N5$6{a7 z-BwR^K5FYM(%;RFdDnYt^>N|fYY=1Z=mOG zJP?nTxg(ukj&1?2R-Hlp=%&p>9M{D?z{PR;om!_vRCZka6+`_V`V0A2IcH-1>bbNJ z*p*!oC$D(F7y3On5%J4}vly3c_$JPAvz5*dtlBQbueNnTJ&W*~)NlSM#K{9!k3+u! z^xPNwr%|0uKZSi*M?HsL_P&C6OqC+ox5XGbKbU%>q37pEQk}fd`;YVE>-}hdc>XiK z2e6mw!pD3L2iNT*@gA+KbVdAn${Wm=IJ;;p;y)Hm^K$lgHTI#s=4`_%b-_ z@;Ct8zZ}JX>k2pz%N^mkh@kU;K9&XkdSW)@jrAK&`tPoT^Mr@9;d3+}@}vH)MdNMq z82gEOOYfo5GvoL7A#bNSy&X}7e2&w))6wO}InMGvLY(r}*YHuPccUHW=V?C?D>8wz zR(nu~#-Gk(X6rRtzZcGiI=wtg>r{H~BHngzU-;L}Msa5MCZCxW=N8#|F8Wn1>3!UE z8ZbG@#bfDr0kyC!>QIGk!Mf9*=sn#Wq`x0iuQcX`r!=DY|D(Sj6DfgEPCO?uUN2)WW>zZp$#gEG5rmrMEX5J)IB@c)fLa1 z0=+64bi>sXi&-`VJnSv@9U~&J|J$G(*yq`k_OyQurSp=E*nxGSw$S^qs8$nty{gY7 z_zj6nai69Som;HOi@~^#zXi^#Bx8S8T{B0yer2)wXI(qb)C%0@s4&TK)9WDgvgktc zUlfRQwV1Rs8Tx)x@Z8}kA9}fKHqVdxjT}JFmk*yYE)(}1{PoS3@RxDL@x2PK#i3XK z7DXQPsjwc-$2@Njf72zNo?jEMM!0xH!@SVzwe%Pu)&V9ajbXJRY&0BTKBErR3-#&dq zdk^=mBYpjXYWr4_zClBWj~L!_NROez`}8H=sOR9&z8O5Uf6tJ<8Q;rSty!~Lr3#f~ zr2OChms<$o_TRkipYbVI=DkFpYF5~-6#6{)?h$=Ao5SwVr#mps>gHt5wes-%jmu5qWHx@f-P@GMVE|Zr>y> zvwx2Jmo@%5LgRKIkJ}*!aDUdf=~dE+GZ${)`W-y(HO__n-PX$(*IPob(YVSSw~rtF zN!Q5=5%AGPI{!-JGBq9b6%7wur*UujdW<{wWD~|4vA?L%_5qEXYo%G=^sk?3+&h$b zAN&LN8-1#jV&&wps#UCw=)#>J#<*XX-?n-g^tQ$rA6 zZJYBL*T30`cxrnoeCjIUFG#P)4mn5TYHRovTz~E*=EYv?h&tNVm!4w0NCd94_jhyt zsT$XtD#z1kT>g;i(e++|1(+B6uqD3B?a!XjxP3Vh*SkjralMRAdro?pvf&JkYa4-i z*K?+F-)>xs_}=_g$X|vST%zm$wml`Z6NjIUUYx|u^qFz&T& zVrksW@BAl?i$#+A(&roGZQov-N#k~YZtj;(0)60hp0|{^KFHjAy`1}FSV`#3s(n}| z@+|K&u157mq<80i*ngP5?4R*ntvR%M@vKyK8`}LJ8pN<>YYkmnJW` z_g*W^i=O#&65<}bi2Ie*I`e$p$TtuAHvYUX{+*2ac)7b<{|q0u<#%3pgDPO%inQ(Z zNpCMEgR32l!FAu5K;rsH6u66P$ND@ws*;cFSsh$#D8Rhm=}_V(pb*bX!Dl>=?ne90xbUcY~XE@dLnR4{*2T0l57vzAyMeKXBRdbNHM2U1}1y z9da>GoriqP+J;g76gO%F_d`%mtTPuj^DM0k9Z;3^|E%IXW$Y-@tDhR8Znow)_}KaT zmJ+wkQ@}-PBXIq+K^$?>>JRvMVSl6lh4^M{N(MHk__=Ii757i#)|ucDPmqu9agBL( zi@sG&mUEt2=78JpL(qq!Q3TgB=^?l`B7ZFT=$K!aSIUaMvb}Tjx)4ds>y`!gKCJKq z=~ZDra9QXzxE}JP3wXsF;Ob63^p7a}1Jo@v0 zhW_$l=sllg`0JFtmbiY_m*?@;Tki9=PjSEc+oIsMNK@qL_1ZrY`5YU;`45};n?GHD zs=#deG|k(=-?XXD_mzDh)}vaP&OWo#n4b#3dNHZ_pts+SK|R&=BTeAHb_e%K|K2<= zN87F^f0u0{`)BKk`*K?o6QCcn9bDas;`^O>3)~iL1upi6!bc9h(Sh`CXg_ehs55iD zpg(by_!x0rr$12#G5ITS?=06}Z{xV8>nrq?DRv6?Wg0zzUfQ@xik_&P?Jq>t9?SZwdO}R85;fJ~rV;aP#saxQ@Irjkq^qI_m@T zaednKoJia~o((SUjzXPf&0t=4{@vK;r$NxW`Fnbi-gFIR{gu(+dbiIg#BDeT+zo67 zu9|fmNL-y*3a)0CfX;7W}}KHmO+!0p{);QF`S=v%$|IrF1@-jJ{E@I0n7R~`E!uDRKd z^)EQCckK&s@%h)W$p81u`$}sJF5k?HA}$Lq;(VkAw<+nEUwJZt`NZk0f3*YaQLKvv zS2+)}|HUED+pxOeW>rm|-xHIem%CbXU%hI`>tg4w&Hfp2RmnVf4w~b^%-tVzDIc?s z{ar!}_J6NI7;*9MIF5UuJGl1Ju@C4?N5Q?G4nAUkVeYGr!@%wJee7Q?3iBeCrEs2g zmx8;ZRiM`&zQ;bx=VM>;a-Tz7Q(zabmn;>rzqtp6hof$}n?f%y7KD$P_Wo4lA9Dit z>$RSI&Oak!N)xwfpz5GeAkWis!brcUN%0Bbn4P2)KhdG41YJR0s6r< zObCI#Xy*REX8`o}_F(J-vTi}vKRkuFs(vT*oAbE?f0fdP*L$C8QRL&|T7!Fo8{#=A z0@w7R`0^3wFUM3s9YpSj6Nu}+mEmvNIXq|W+??Hr+pu)pudN=!&)>!x=RFtH9eUxr z4gPAvvGEkwyF40PKRLzEqbtQ15_f+mz(?iTgt*E?%piZY<}J9MGYeckpB_eBENhPZ z#iU)}HqSa=;(El7;O6NtaJM9DH}dz+^Zu{@%m*&a&)6T-kg8m_vm248tbTtm>E%7k ze8LIbmnt^^b#@S0cL&!&#XpQyac9w&WS3el}Sij2~;D4_J=QFAq^P_vw5B6z2a8sA}D>-m?1o?Xd zOYyvS+sE_rU)>1u5x)`m0`x<{_WpaKx3pPvZBpIMsC%>DABWq4(xS!^ge) zbr5lLaz409Oy@eg>x;=pz2ftpntu#^YZ83tklw!6jq|x!2j@3YJ{ad%?@1rTwF7IT zJ|cMYa?;CqJ_qVOIe9+}?2$;^OYg#YUi*sksk{>0jpF^>>$a88huQWGA-y}o`=RR< z0)IVfF7_FDq%`t3?OLG@X5e3uDHQkkWcaJABe>2}Q)ZEmnih@xb@X3|>rFY(hPZyc zneQw0PjGqu-|XO9gWxYNB=Uas@0n2Yw+D{E->qwbI;#c!XOdo?Ok@4!99)klt;Z5~ zD@%a8vIn_t9oJ!9=+y@~pTFY4y&1LUlU_9DeO_K)i+w=Z3VlV~)bT-FPiz1egF-qH_bzZgI*5PwnMuV45Vyq_aNXW?gWe06 zK83jOdjWq@y(G9!s#2f0tazCDmjc{ec&~K|@zwLdZG{}*D*GSb6Bo?~f~()EfXiQw zRRw>)CAizw8{Eq=7kO%bU*sd7{LSZ(v^J|Lu87d=6MmKb&!h$sm#+$-KK4;r%!^(0 zV*>emzw$Xvz5I#itIR<@U+Eas$1ZDxzLFzq%p$#9&gTKwyaV*ELY^7m*^WSOo?qqj z(yTN-mu}v}`6PdXc`@1AU_TLs3P7*+i~^VM1;kLE`WOD)Evua4c|81Ed-4}wKG)ALBTsJ~_lZe5%y9$byOF=T62|%L ze8~L44m=l>jzyi_z9ihQOz6Ly{6#T-F6*4%p#NpVvN7c2;`#TEYZL_T^_Vr0xc3jg zmr#Ayf{RjPQD>95o8xYO1Mb4(pw~B6GcPa!_bV4X8AU$wRV283P!D?jve0Pa`g`8@ zOb+JeVaqYZ#Q;7xy6)9DZu=MD@{^MAF^A9MJmWQ498P*0`x)wNwom1LIMNO4NM4QN zxPz*rp0?G$vG5<&23)$rsJ}}s*@U=RScU!ns|;>SmBW4_FY)gScaeYhxqAQL9HNi; za@>!KAy0dwWu#U{wk=!S# z(@-~=&5wERkHEcwGjLy~+#UFM@0SO+4^M?6pIHK2ObXzBK60T4#nD}P|1p1T$GTIG z>S2CejDp^b&V24nJLK)p(2K)MxNhanKrfEGWdC;0nfndHJbJbBqJPwGexIrGJ^;7= zJ@C6&&d7W}({2LiUvU6@yeHptT%QJbj@WG7r%?X(`APVTlLwK%O3rC0e=kAueeLjt zkLjEqN?hb)z3Dm|^Q#AiYvL;O7S@;dM57Pwn1DIZx8V0V>cwv8U9C3oH|2LiZ#vxL zzD=yW3~`rUL_S`%-ryqT%%GGEe?1}dxw*V4=F#i<68U@Y@%dl+@cRUp5VDB$HgD$n zVQ~Q0GqUMy;%3z{u0!)g)WJ(GVu`y>zTnz-4fZ|n*E%>~nO3K{{47LwC_3S)q!s?FLq9Ua5L-)xXrh`J$!<GiY%&{qRk{(lS33{5%3HH8>AjA1kf&;Yp4ZpKA^6>- z*M~rFQ-`Ady75gsr}X$a>@%nj^eXr^*00F53)~IP4!xOJ4D;good*{;Gv_g(>|(@S zz7yPB;`5}P`XG_GTpSH9n=gWoJFy49cSMPs;9elV&s5VcEFryXdzX0&{(UD(o<%;o z;kV4^Oupbxy7&-&{(jU0+?D3@hF4>FbMn#md7m*)4neP`Mqxh@$Lpfb?%pJD`**#; zr>vJsQdKO znUcZ9kb zo{Av7{3?=t)~^P)vt~_z&q%JP8M}df%-xa1&39RmzYF5`EqZr&uzv;@i@$=8YsBx9 z?V(~z;d6w!s?{3zB}#m{jJOLAfscH)D2=YyCyPzQ=Q*BtTO%2L>#DpQNO~`JA?JT= zE_`gIXYs^sr}^MAwm#P_-zly`-6;6$+r00&QdhX&!pgG#$#m=+UXjw4d{oQ}a66+u z^08F{`w*8$xj)sr*5Iy8DEiGiF&_S^SLJj589Kdzf8W_l{C63-{T=j1ZiykEj2EEr zSF?L_pM0`|`=?|n__((5sI$!ecR2Ye-|Y9`8{DaRS^ONCp?5=fQbH-EV_@OvxKq?=EV8 z1mdnsWPR{eu5;(r=qufx=S4Ie%Jj)LH*? z1;1;=-b>&vd^hwaEV3WP)qfmg|1MWJZb;n@D? z&m+AIN&vUHc%6zG$3ltgY{S51f$i|IBZCcbFUNP_&X4~-=vEb(2)zsk7nO(NoMx&7 z!p9Wl{uEtr^Le}8J=V|Y54{bX!hHQZ%)3nM0d7uz4X!_J1HB3D!2U@-%*(b!|GVfV z%vYY{`ZQWPjPh}>Rx{s!2i(P_>KZyr-bNF|$4qO$5xM!L(Z`2ohwP^|TYA64D3)AQ|_BT2HNNv*F zblz8Gugr7lXL)=1XK=TFDaZYJ0{TG}{fO%sPz8PN#tgwa@``Ll|BInT!OhEPtQVcX zZY245TQdC%?!vlIM?c2>noBp}?@e2Rdb$sLRfhi17aTXe60fhE&G?)=rZTviFbe)I zF(sPvH!Cvv+CR?F^{V!Q5aMoN1?1zo26&!&LCLW+ZUfhY%R>9XP4J4j#GT~+QJ;1N zmwgtGByPrQ*1PYpf69{8r^Dwq_qhq}f_mCK*+-|4f0l8`(@pM=y1AOUu#VK`JMa-H zg`qdUx+UbJ;^V>9Uv=51ONRvFUKsC(y8mo&v3BEl;;!Q(_=|3fz`d!fM-UhLc)!vm zhk?7wao7jE8N6@EA>Xk7FUd9G^K&+?XNmP(pEZa1z51I6e7{`>pl@Zo&tlT+=5gR& zc|Pa38;7t@DqnuC>8t+SZ_XzvB}4CpWfw`HFZwMG&bg^JhMH;-4aa=l6aY^7oEE z;XJ2o;{Jd9VG{Z4pk(-%O6NKMCwt*y}g=>rUR{`iK`T!M)fu(3`7oI3L#$T>hAXxUyJr#C5qw zg6qx~W5{1OxCL&DHbp+_)Nh-Ji&GzhtDApu+#-E=AN!b}Bc5+1Ja^2aT+u0{&p#G% zWxx%t|MV#d#7#oxxqWVN)(gumI-i0k}m>^zDqF9d*#O|O}Uw#2?9-`@d$ z`*j9QvEQzqzIFV_leEvTY#lJ?qYOc+LMV#e2PWEO8sn=W|(ZKJQD_!tk6D zc?I9Eo)3SwGar7}mYuh%(AQgR95M;Ns<{ zSl4#N1b!}*_T{(>|3yEW-u(AsCo6)h@H5;eyR-KsAMMi=Tn^%Yk0CxT97fzse!a@(X)R=TszAmAF(kN>q1@4&iP-(Ou@-h%wao&3z# zw8i|IfA8`>{F2wB>J*Lr(Cc-48pV}!r$MjxWyQSfWh1c9>*BSz4o{n7Uc4g14Dz?< zpf@5b>f=H>qn=`HUe`6vl-MI@gab#zDMsUidVQvPPJK|Z$UN!*v)@Am_7^?eZMQ)@N%)$63` z6xY4rbCjwu5P8bCRVN^y)89ky<%+_*n6mN*;xhjua5L>N=Oflw;?{2#^YcTYSEc_$ zpQu;wW4);ERWXms9$Z6uPu5`l#=hWsOWwi6O}Tc+Uk!YU`BIB-#H5gZ8lUs^zRjqc z{bc!k;_|2I(0ffz@_NiuWCn4yzYDnR(iYqcf4!KvE7cra2ed~2s4sH)`;(9FB5)J) zi1)qJp|wfx>6^@79|LzO{*6fQ?J0r$MQ7&nS+fx0s!n5Y`TG;-#ljK%yZeKo;5v@q zJDJW|XTxU&*T=IT<9^+h`q)q0hIXuk+Gx_dEBv0y_`ZT(zsZI^bYJm#Oy|DkZyN=r8MXK4;6K55=V|Sa)tjTdwDeL(rQVqnD&)x>sdzYkA&P{>tog zw*~j@k+L|Sm@9nVlb=+_{ff$CP&cm`?_**QzgKiQ)^zdDuy;YF;bZ$xh2D$%br8jM zg)8#BXOBl;nVWHwNpDZp#`@dNM+jcMdMi;zr8-1{|O$7eEcfT=M zC+6o1x4`dr9FmezB2~63)`@5_?Iv;4=p3F$&K2bKvnm?3b}o z`?$JXk&nJKhS%HhcJTMsyck zs=0;Ozw@(j;$mNMtWUi>JL+lIE7nJ*VITLl^Z&PDVnQQG?^V0bymbkV8#!tmc+(2- Pu^svSmHu`~WXk^lu^{4K literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/21.npy b/MP_Data/pose1/17/21.npy new file mode 100644 index 0000000000000000000000000000000000000000..f9122df7bc38d21b79b526a9e841d78e662705b5 GIT binary patch literal 13424 zcmeI2_kYjV`~MG$Qi`@#-^NiRF;lD5NRH85=kUtogiWcF+*@lYsCs` z)Oek?qNpuVN;vkY5vr8F!zbr)`ThgnUq2teyl$`ic|0H2b*?j?uUOEfN9Vxa`PdjX z&MS0K(S?KS$Q`xJ%4&*O7c0(f>5-p-oDh{f}S@q)UHCGAifQg7u@suSV*SxmsP1 zUoRi@UyKd?)wPRZZ`{h73mLds^va&?dGR9r(C;Sx;EQ=SNBVxZZc^U z;w#^z9M`T(@2BzqPhEW4sdJw@y=^-5oNH&ryIpeM&6rm-?xlO8j!K_<>e}rbMe#Qs zLjHW)1UxT>{gLI`dCnf|o>#dk7#Fps3%;|bkDj=8(QGEgfA3>Fud3zz?ewPNrZcXc zEgX(~oyWN&Cco+9TWX zyqq4LU*vt4JA6=gxvlt9-@Nat^<1jMu#wchz6|CAPpWa=wTt@C@H`7-1w`I=S#31U zml{{Expuv72A-Fj?&U}OqBU1tT)8#jG@k!$<8Aldw9j=c4U7n5DPoLZFTOBaTDz@IPv7SA0ZZd2EQ>x_?~ z*P9N|I$u(Z#_ONYmOH)h6o8NYM*iWK_nn_Swi;YNhu(P2g`Sz|@HaKj5g)q{^OimQ zVLtRN+G9S*(?`Hn&4UrnPi;4(_xbERzOP801^w(j;HqC(mgA=Cf+X;cvxqM)eir&_ zttL6nnpH!dqQz{~LG-VvD^J4hcf1NrMSjfn3pg7LQJbEZ2Vex)(-oAbcclU8FK zSK-CT|IYv#mq(sejN~+%!FIIIw(;%gxGkfI-|Y_0hpcSieAu=|;G$+paNF>Dq~mt#2UP#ho?;x$ zfZ*1S^A*X^>qm!Z9FKGecmAf!Z{&Y<54foF?GVSs#Qxy+i-+LsOyVHNb=8*SbGat` zMenS}j?1)niC0{Le9Y0_ll=0y{V|I2(IK=>msKwBxJj)Kz1gsq=39qFv5pI0f7H#~ z9}ge-&rjbvu6BCBSp|P^aU@_C{O8>zpTd7){+n?hj`QT{IlGRyW{aTt)?s6^<6`#{ zaIu)?6)!X&^OmQs0cYNeXdeFlHRhq(IUbz<_=tQO{db!4QI~%qeQ18nE7ASsOvg?5 zD$)S?EmFN>jd-Ryg;YungT z9mf1ZD=L@IjnTIK#yW7dX%>nH=iw=WcX1~TfXOCZ@zwD>7LJ+9xBT^Q6UgyQzNhdP*czTmc6U-Ic0LiHSepXSwqQ&hK)AJYD?G6nmO z=;R?jbU3*ERX*sCFc(*P{eZaEzaIGny^QnAU#d{xcM zm_PjbFwzhHlKe}Q8VddWZ^=Kb68!bvCn<>AVjVc&QJVbAA5o5*ddEp$me#LnIWEC* z9YyCRtNIxIvM;eSomCj25t|O2e*BfW8SLce-mGN0C7#uF^r?F zO8%E<021vz_r!j>Pb!LZEz8AQ(`IhC2{&E#AShdF#pBGTG-#@r+-Hv&psVUKd}_$ zpOJ62TkgGbAEZ>`T0f@+^4=?96l^M3hPJ&&Fts&+;#+4>65dZ&aS*h^-mj4 z`Co2B^Wj>LaHqG?v_DHV1bW_NGWG$RR0?|KbBf}28;SWQd)}nD`-8CF&7OgioR7L3 zL~$>*#W~2woD4<$_LM){>5V$@nA`-%&9b_b&rlD}Sr&BfE63%zT=Z9*90e}^I}GX889C{+IutN+H2G1JAd)wHMqTz3~t!= zXvf)|&XoV7-QX&|e{JZ0*adESMu6+f^ zE_J-~SNkiYzwF+A8kgst#>3}>QPA^*p{T!2U9!aKb%o}?9 zgMtt5xNDf>{K`_|k-1dQ`PnO+kLn{4SM)uGdCQ}G7r`f@AGluI4EHzFcr5O*Dr^w- zw_6kB&x-C|1AQ*t16A9?v`^L@lj^um_=@t})&TjK%4y&#jrMc3JRSb5ebOlC57IuV ztA@khwq1aI#=QRt@)wr^Xk90tnc&IuH!Wtu-{g-%o$c+z3!IO=9#8Y<{ynPa-G^Nr z7oE0If6Ed#zWItkU-KLIo5Cw-pM0=B()n}mBk<>}3+gQM$0a*GdzA&f{=6{S#kc#% zIWF&209VZq(Y-h27px1Odx+|pP4BI?ZQxR;*OO@8^70#KA1L}b(Zy9s?Xlm=~un@RDe5-2%-pRomb$}6;vRM-2shv@!2*SWYXi{>Z)=Mu%8btBAi`MM;XM+d57 zT-1y7d5Bwr?rAJ@A2>U*9s8AM2!Md#L7>-74)^6;?_g3({Is#l2Py!$M0UN#H!T#wC0p5g?}6Z65Z@Hd})^cDPz zk0JeEkHBrk2RIk_nM91cI=vG8wf~J+ugpby@3Yg-L_580 zcSUo@QuebN;8=u5O-Y=b9sA1guQD?Thm^Mv;t=zLWBxA*X*>&R2odXfr$ zZVTnPEgD>&{0RG`xOD~GY-|OtI(&%pf-f3P`kt3Bx;(_#gEY@`+h85>KVuMA?Qev- znQAS-O-y;3KPy_GUp(k0bouBP44f@#OZ$KQ(bC0{8)-jei96}MsPOSv zr)Js0ZHPb$5C%GZzjae=*iaxqSE~PW{UAf{)rC z9Obwja}sfR+l3fk74QoEHP`8PaTO}*UY!%X$m!*dNzj|$_ChbN#=>7N-;MPs^exi& zYP#C#S^kUU|7HNVtRFValZVv~Iya?n2aKb+@;CBVwdNsDak&`kCL)I~cX}H@>xlKB z`@EgoW})L^8@*qcMyYh329(zDU*iQIJ$xPZJ$bqx?pJ!tY04)!7F^Z*9P89xoeFLz z#?!vtdKlKDUD_60RohJb`*%@)v#AWYS@{pRiO$y@`OJQfIvB<L&CpM{?P6cp*W%^nOcPUe7%mG^prr>BGK=A_r_dJ0dT-i-YV zob8=Y>*df$f5&Z1HPpej`jYY~mj*rW;ZHoGDDlH-zD}=MbL7d^XVUsgir(ttnrGqA ztEf>lpKD&iIb{|uB3>ty`c>m5)~_kHhqx>Vy{=Uj<04z02NxMMj{M#yD_mTez8l3-syr1egyAx0R{xb5Jx)tv`yv#Ll<`YQy{Fb@W=}os=;JP%u->D5Jkq?h;Nj|Hm z|L*!D%k{zeYyA6z+pcuqu;cG{c0Tq)dVgmfGe{pXANz@}<%c?}U*7uU3m)$L%<3xO z^3GuBO`9CtPh@DBn}}Ea0qSg9{Wrz=>#j9#InMt%iuq$p^I7q1w>4^IIvsl&fqR8{wF>_Bk2w@K_#D=?seBGxuSozGOEO~Jb7n;W_=qzjs9%R~ zWBsauEx}dOeBkP0zd49gBnm!iSS+~i6c2yBh5TjJQnW7WZ5ZnGvfxUJTe~K>DxMk& zpJ(sDpEW8&yrPbA+;;E+m!+D5i_Y2cj;oJGlD;6_>%_uF$?$ppH~huH;@HPT&Vg{~ z)0#qWk~Dl|&Jx^b*uO8pZQs-6&;MQT^k&qzq|dlPJYi6Z<6`|o`19A5u%GCOH3L0P zzpyvO-SsZ^F|Nwv+%YY?gUjSC;Oggdv!E}y2;6>C1>80~g>zY_{RplL^(4Oi_wi28 z{3d{#AJ>7KdGiw-m*ZA|^N3C0BI$07<2oom^4B%$(Z1a`YJ{KTi4CC_Ui5o1e^BmQ z_-rL^D+E!$Dpg(WxOx~4A9Z3`7M@r465OXOLF3MQZO6PdR~lm97Q>cNp8ku;r}9gB zKkc{_T)t`ruF9TA9rU6}l;M(EQXsLExtK9?UnUsWN={)g;teUcEBL`IzGcZ@W*GoKE+ycF(uD?>uEJeAwKV=&z{0oyNT~%?Dk! z1=g=9_6)xhYQNjitE0Q%uVbDet{Hd&oKM_A<69;3Yv<3}bwfVN{|eSSfBDsT$3;>q z^fLPr;+o4FF|SxGjf*`wlKR`D{RB^*-d5M-@3{>h`$5@w$5p^ia8^G5S;Wii65&40 zyF)4NoqteI(=$Jn9b`u=&0iyb(N>h{Om@oMEiA3lxOg4;QJ5LZOiUj;sZ z){(6^6#ccox0~n5i>ud9hrgK~Nxa{KM90~wO%!+GRI1xICuqH-j{w(E^gBPxcbR^N zTyv51P4+_1z6|-s#pM@{f!hw3z~%9vVCOHB4ui7~HW05gy|>fr0RzBQuM;%B#|ABN zdNX_;@i%Y(e%}9hBz($7kWZbRZ~ccT$945i;BpB4eUP_)e;V|DW5D%^QMjk^kmB%B zKJ<5ZS>YzuHGg)J^y>ygFAB_}_5SDqjr*Pc#D_EkH|ttMucros^Gff4v!$(Q{>RY% z%nqGHo;-9}gv&?dtb?B2x=Hz0yoGzR>AMSD`4=Uhru1H8GJgTrLz{xz*FRDn)?OjK zP*^Xr!|~D1U*(p6!sef$3|S{?@%Q6Ka{ zo+sNuFPG1xbN`Rg*nhoWect|F=bOCPag##x zhv`1h^UUxV$JIw6(5u!Rv46_7MU&vism^w7AJkK=tufYL;YcNDm3&F`SK#}nQH7K#ARE)!F*7!|4Maw zewp??z10G<&4<9k0Ft}+FZ1Mc5Eag7smP*J|E%_S#vdx<<_T+K<{zh;aNBL{d?J&nx z@(K9x1N8p{?6FbW`LGqQsJ|)iq5gVNKg>53d=^+z6~|^A4RmX2?_I&%S(A z&H0Y(GOGMQ{)EKVW>ay;gf#d;<##G2Asv*BYi?!>|?ePog?hm+BkRE+@kTG zJiYiU4sm7171ZBG%%0~spHK6g1$_*?d3gl)G`@2J{AEjjs&kRqOI%!2{0nfk^cA>j z(;NGeX#4~GS-aI3FH_t*(CNiU+TV1Q_pvTi%lw<*6HDi{+4_L$Q#@vz<7x%n&-wTC z|4-E9DLAK807G0eV=4T_rP_0yo+VVkI$|~H9>~fDV;zZW6DgmzcQFrb!}JNBJh`ng zgZQ4ef7dQo4)x))-@d2hbU>bRdCp{~7k%j7C^DCTn}$b~<0@-A`3xzEI`HV^!H)Cc zd%?NgjJT$*S3k#DsiWX({|ay()})W)rp)i)c3nKUmI1+z%T9%;{+X|6T>4e<^ULF0 z?4&yEtwQU%@I=&~_wXYByZ_L9u5x6G^U3nQV2XIz`{y&EJ`x?#* z6aWA21F6VI)E?8#`3QRiac$Ttkrdt-cm{0%zik&Kf z`JkV@53ZYZ!?|O>f4I>3tAcdT6o06T@STx02XS}IA)g`zFz!~~8sfNZ)CBqPg`H_$ z*$CyHv%AlczEeKbM+U{9o?=-s%HJy=#>vBVpr*70H!R5p5b|?MFi5M5@^Pee>%c#fTwp<3~d1;LXAG!dX zl^6xRn*I;wiB=`)+}Y%Vag=2Zeg_b38$+)P45IlK{%Dxj3R#PDD6Lij}{#TKBj)jf{%Xp>~P1;OIoKYejB(= zI1=W#{_7nY$5NChKQ?v;_>I{VH|rmo&x@zveOxy41!p6wV;=HxyRh!0>;}#c(f=P) z3*uIK^8ESv&q=@WW6Ud6p=zq*@>LMHOur0&(ZqYXTx%vE4=;a-i=s5GH{aiMz z3ohPyMdMzuE_}rDF2ud6;eNt{>At7d(%+YLkwDbVrqe#AljwIvRia2=zdU=ry9#_% z{4CT*?J7Im#Wl-o(|8@6L*sj8@C>K716$L$kLVAsJo#rj{(t}ecUHjsNbh?x>+%iE zr~f{TbN}C)ZHmP@VVU%I8!;>Z^U8ivm-erBXJ2!Az9tptzAEz(xNbWM`+wexLZm0J z-E1pEJo6jc&-<<#!O-`0Uv)%eJ#h z)XuwPpk2F8L%WLUgLbDFwd)n_AK2^U`h{p0k9(utxKg_s=Yjs6wP|QK`4<}NuRG^n zAA0C6`t{HMJAB5?L%Zxv?JRsG+C@|wv^#MN(9T10+b3qDf1Nn|CVa-$Nw@ye$@Q;& zH_LL?tRanme3dh{U5ul4GwLXf??aE3%i_#dlRuWMej?P|;LTe!aVJItHx+Yfo8+tI%&yqV&kF_-#Jkbj|{{Xb*;`pe8Dd%Xz1I^A+{#~1xNfr)5m1N!f@ zTn;)Jh3ob_dt^VA)A5u2bmsW)NU`5T_gA;yb?cTij*>mluKFb%v0SuYTLqu}_ThTo zG&m2pylVsGou!t4)hg$^I4o{v+c~KFgQyqggQ_+V>eo^g9{Pwx)YqmeFeQNkV5PH zBJDFGsoh$uH!Jg!f6;M&c;$Q-QK_5YfBG%-YJEKBSKOQre||2Vc%yh)?^~`TUj3jG z>Oq!24Q@K;53qjx=n3k#Wy2fxyHox3LhG+G4uhM2M_h-lUdbhv^NEYWnS0)=mYYj6 zrRBz>D#iJBG4fy*pF+R#A#vex7F>PKT5R=tTNTPfaYOUnC3T+V>T?ZnndF9fH0iJA zST30d`3H}n`M-Y?dQ=_~jy*Ue>o+F!WA{C;3M#2j{Mf+m$9h9G)jg;+26njj0E>Q#PmTmsf z(dv1L1H|3hgPT%4dRZ>gB)D_SoAjF^9P7g?H3H{RMZujVje;!KTS`;@v$HXetncV% zmdj;v(6cKV^T<|I4Y2-9TmTmz_Jeb`QT~?eK>}R$e@yfKwDB0r&Fz-prkgwbf1>ySz_Qmj5Gi~4QQ7WKm$&s}D@G1=h!W+u37 z-wpM~Iwyj&AuFlg7F9w$iw$AmYIZib`uEHn`1JpceA?$lUCB;|7NFlw3B>Ev0B4DJ zqAV8$TM+m82(BJ)?hl`1nc%EYd0OvymxElllxbOUjGr; z5pfnxgkI#Ge$eY;gVC?) zF>4I?x38!^SKUV*oI(NPzzYv1z5f{U559)FVjZqvT+I71<;|xo#w)5F2iNz;5O?Xg z$oe?@e85fPUuj>h76E^gd;tBLFYeH*LmQ`i<><}&Sm;HGFW2mM861i_)VoM8n?)j@ zPQBdP`c-x;c=Th6zr#kjhxw=C8ziCvQ z>ff*Y9Lt@TE1;L>BajDKsw1ttfs+ zrDEtl^6@$O_xTC;1v5WuDtt!1CVgNfx{stem`67K4LE<9f_`mrY5V1$)`08psLoZ3^^ul4`<9aa)Kc=l+-(;4 zM5=$DkP0rE<$+$FXa&8z*c9V+igtqDyzYs5V6|H#pM1ivyS;3F%F?;T>n+N98h4k~v!iUBEjd@|k zFJZiVQ8?C%nIAU8j#t$y4j=w(e7gNEI_B2r(C*;+K{(c(jG2n{#S;DDFEcuz9-K4f zC!yb1$}?Lu3VK~SFUHHB)BV~RnM&(4*#q^XG9Qxv%8pp?y22XNEgR_#E*8;!PbVnXc=H6(_*{OPnNB2F3`z(9XWT54$;b)rP!{fnap*52&cMc4Lo>xt# z`)`%c7?&wDgM5;HM?OtP$u%iCdg-&2`b|$lzdT|T_6?Sp>mLvcF84MFw*EYe@+O-7 z0xsqqE)V|SUob9HD1dyT#t*gr`tE0N-mECN+P%^jJh1`dVZJ{hPW8i;36`scv=4|i z7cnl~?Eu}!d+kJ=YTMVCcjLN#iS1Vfo})Z;oCv*BdT%Ir{3{x7)G+8pQaExTskL{;Xe)X7!JUFF417`p}c`LD@mSV8!(cB|KchYX@PV?8L(`~1PBq5G-xJQ@CSeRVu{$Or!*ey2bv{GFpw z*k{<`D&RWA8}ZArFTzuD;t|v4!=DeFO!aU&KF;?Guz#_?Wz!izf&m<^(lV14Ie%6 z65^K!!YadOPhR-2zB|Bqzi1!w{|~sxiUnu>^T$|jdaj1ADK-FH?5=@xwc7C({=9NU za5HdfW9S#2p?*U@;+(*XjqQ_S^YeTajjK~0==IUM{VjJw{7GM%=3QQG(F)wP7y17n zpqHhh5T|PEj(AkwyYSbmJ-69@#g5^mAD#g{e-SjwawoC`^26GAp#H_srPx=s7u6Lj zuff%a0OV7}MpK@>d!Vjl-CA)r9+O1p0g*TudQ&$GKIUU8mv_E zBhO;d28>r{Oi8p{$J2Ou!6Y_+ zL&15rC%9}qCDd{`nd;nmm5%ca+gx)h_^B$$vpyU{oew}UKAWojz zeW}$ub*T>ZpZUoD?=EzoEj^#cRkJkJiKokO>!UY50aw-kqB#9Ot+U)|yNC33r-O^+ zy4WYBFyL$$y-yJF9(2DrK=t6fFm(TVl8X9~e{$3hkD$?{msy(;9_@0#N*6+ z7-Tumq~~iRYg1j7`%fU^Dag>T3GPVqoA3B=uN=LsS{Yn-JBW41!X9CMg^w5U?iZog z31=Hvz1X;c^497a-Cr8*LBD3j-!zW{r(hnPDqE<2dW3dK_oBAt^hGDy7;)__$m}Jo2Y0v_Ds@I^A+rcn-Le5Dsq24w(V{ z{Pv{pw*y>!pN)CcqsxKoT7Q#%Rb)Tt)jyOsmrt}V7I;Q^<@mF+UBTs}jq^8k* z>PkGg_8benj?BjT)#s_TVFZ$RG=vf5azl18g9&t{|-ETYBgkHJdTL&H= zMfyG)!Oee{;(dY$r}Zo9(EChvIdy~8^A!)ES1Tw^9dH!!n9Z#y&gFA4FEah@NINbz zT@XK%1g`2W{K5L@!BfCZ|5M>5B_oG zu>YtNFDcKB^RKb~&ZIgIY`fF!Eb51a()&QZs}b~KTnoxu*H0^~URT%9E1zoV_By_N z0G%s_Y=mB?#h_oYe%ut>&SX0A(-fy<{?l+>wS3fXJ9=I)-yg;L745yiSG-e55lCT&B2^|6kX^*}I~&E=t9Xg?|M_`a143uEJe>;nOoe`By3p?$oaxV!8RL z7PuMPh6^} zw=aUr=l^U+zyD1H*Lm)N>(KtIE!Rt)!C!kQ;{3?r-(#(rR%2O#*!6?+@{OY7VUgS1Fyr)s+j# zgFX^Ld47Hy`-2F`!2GIF?$9$q|KBmosw(Tx{N9m&%~ljoH}BDw%ZF5-&ZO?(V%}EN zn^-;v{<3eiYlu6#m9n40gZ|ILE`NmHS>uj;iZ+4p*Dr@rJ@h>^$?Dn4O7Kx1mm~k? zg(vEh&2xEZ+qvG4`!c(gZ!h$3r@=?Q%Y$_)=B&eb&4S+GtZRGXtu8H2$+=#K+yfWi z9-(<})H=ZWh(qT{pLCFTjZeei-^d5?m~$Ce@AB)TGb~rfsUB3@`^Yn|8cWXwf32f< z#`|Nuddrt^+b=)6iTr=P3m?^ER;1ZQl0V~o`UyI=JpM6z2q45W)QH@tq^#4I|j%?$$QmxD5Ge|o{W0ITO$Xjd0+4xq-#^1=<+u)Ug=UB{W@`5 z$j9?B}AK>VK@1>(eDvh`QWY?@4Ca_JpUDn$2+V)c=e9pY+fAA`!`CquDb!mKjCH{i z*7vqPtQ6%g3D^P)c?PSx$`@93{#Ogyd|Gywgo!2`j0$InxtAM6W# z&hLb7;Cq`}I47tYJxE`12=b{9PMn@%`#%#-{A2*~=Df*^b;RpGq`YO9g5KGYP99@ z@kHoFc5~wEUepB-`6no>FE@wXFsZ|Y2!jHmyJHcUlpYPU+V$i@3a0ogx-h9%KsuB zk-4BZ^bcu2*LhY@9nNsieV*z9AJJwz=7qg3NOf43`ZX^KLC*(8Q*-{j(uLXIY4~6 zEA}@hA%2VX5d|uuUoj*IKBCy`B=A*_NFOmB>s>5$-3)&J3b=f`3H2|IH-!)P%U!4L z191-IAu*9w&o=%CaXOiP7?*RYW_(Hxmd|&9^AW#Nzdt;ub49sJ)Nh$*$eY?W7Uu_N z%tz>1WMSk%2i8HonLJm(MPGV z8uG(qXy4OSG7!IW|KKd^W7^O;R*dciu9i+%Ww|;_=QP#gBl2mg_CcKN3)MNF;E6cp zp~z`guM5$-laFeFivb>?@b~ql{7kD(<9aie=C|%1igVyANu5-2}q zR!jwV+e~@z9tG}<9T8+X3#9z8a^1l7i$~ClSURuDj6UG1R>26XmpAF$#irBm3&opR zvn}V|4`^Oo+R(nY`rt0hO^fp2#*2Q}!9KWRACnI#pW?R$xbHYyuE-Rt9~X)^W#V6y z|7Nr3ym6M!X}s8fp;rs%;he_GhEl&3yCKiq^Xf|5FY{;(&YLsL3yV&|zNEwV!k^XN z0xp}6@j?6(?vl^=Qdk$FZ;hRn>ww|V^VLs~2PgR{=Ed1b=X0677WthzsIx_BmVqAQUAJ&n~3M2nFPf&;aUeoZD9KHBB2VD7;L_E$f*QDjT zMjYucbf@*(Y6I>g&i3`-=KWgY?fjruhVpDg8LGplYiJ#nr1PXKl#G5^wGxA^Ki_;B zKI+>IQTyUdW`B-iu^HScvFmSzTa%(Re=geeq_1K;Es~_Vi|NCpg zUl;g*dUjGi&^c#fU2s|J67tNxUNhACn4qrU;@nkmbG-xZ7tT=HA6Retoq$U1;ceq# zrO%*Wk+B(dB8R?MV}0b4{P1D%hmc|>bK`n z;(L#wU&C|vf#gAmlb^jj+>T2&mxx~!p!Z#(VQ0*X6uIYzJM_L?&Mt|176~5k=Ordn z-kM#Aw*87(-r(%;Y}5lU;*EV$*QEQh{{1Y)GwXn|dRCau54u1w)z$9GxDWEv#c=Z~7tX+Y0PRZoR6YH{*(Bfb)<-^~^RsO759Z4W%!hNe8XSOeIkyfWZ|2DQRd&2i z0Xl!m_Vm1<0*b_1Zr%-|dHgt-)@iY~>!FYDNj`;ppnmkkJ>S}XO(Ly35%C23o~*j9 zEqq+>lYZ4{+MkPUYGw5-!43IQpHI;~S^hoV1F)8K9&l2hk$wW@>lrJ87*f8=`F|IOOVm=`^B@&>CHZ<<1{ zTjoAjx|dyNxhdsMKBFE%uMSmS3qC0VTwH8|ewE9Jxt7cBp5XH7_u%sV6U;k*?m_-{ z`-3~i73UMvv;+A!Y=H6dYiZNGZ2bPTkFhvEaMkNpf6KLZRp^=9BGTU}F~RoB?$pJ+ z$dugQ+xs`4Z}oC_JK`OOVBY1>tKjyM|NHy@F9W*i3Dk}3aqAxHtm)Bk{N6h$6zhZ! zHFr@rLxu#{x)Ny(QTH-qQI_RSh31njm&ZyI|86Gse-pETo@*+U0e7NCV?XDc{s^^t zUW?uXss#F-hUhjO`@hquC-mavY3$q1p;g#74CT#&R*>KDbk4 zC;DMSo7T1c>V=bOy>;`3zY()>?lpDBQ9fVgzW4a4A@*%&FYRAChQVK4ZWv^J%wP2X zT3)d-{PoFSDL+|-Xnp?hHS*~ci5PG7YHu3$ab9IB=e}ccsIuU6( SKSjTTlmoU?{<+|^Ke%XjD+&;eAE~4H#&7>%IZO12cK>;JzaVW`3_+tA733)!eJ` z2>$>3FArnP{B!exXXdB$Eq23xD*qPuQ!_vH;cprCyO=ccA=-n-UB%~tuJ>%aQcCmxn&AgXS z>~qegaQMj2g-@V;`xoR_u03|gw(B9=slE4`4Yr+k%6k5T&kMBAaHILycH^LJSIPUI zTkhQ5f7yPTYpY+{PZj;-x@~vDN<(k9b|qf@^WU~zUpRKowwoqLZsYsE#gR8rdj$G7 zf6sko+vVSf@I0GU7@s_G)_bdWj{S1Uwu^P0Zrbn4c}?@$uLtrdmR)*d+xg3>6z`!; z6#vmsJa0-zUa{@wOOj)s=TBy1Uetw7^nJ{m*S1~Gi=pSA=fv~Qvls8IUM7vZfajMD z#JoGLr()hjvvug-$W@46O`A^7FPZq4eU9bdjq%IaVNYYYTx(QRI~>~Keg?;Jx5*W$Oeep3ClL$w#(SO;QYyVr~|ob-3rTDN*-`_Xcg7R z)t~2qzd1nbWMe+e7f;vr!^JAdbPZq&nO}q>)_Rd4y znq5hAt==?jje5|>j)1df%>%6;_dZ1W&$UpeY+#=m@Sm^;T)mc8piAyP+j4z%7WI2K z$3^f?{l{C*Hr=$(=@0R4c33soS!6b6U^Wn|ZOExm56$ex>W^N5??o$)@i?Us6!`DIK?0N3|y|B7H$2VGKayn-&b(GXe8=N97zCI z_sXK)be|;?tzOq@3~ma102jFmOK|Rh%Lau|Ke7j{Q+@pc@jK%%E

    =>skceK^{cx z0nCfKJH3+i;T}z(*E1?$y_+E&BP>@x^aK|#OHkcjdO6>6$%buA!{q*|<_S4+%27f222I;pA#(ESzzfe3C&x7mYF)gf*e3cJ+RxgC|+%11+ z%T>r`__I;{!JQ|~H&}mmVhZ%;d_Nl3?35U*citw`xcW_?{15v8E^||U%>9uxUk%6g zvU;|75c#a^4sK4QVZE3Ruc$tUKcMwq@77?empv%|sy+3q?*0US<$oUI(wozvSANTJ zZt(Vo@)j%p}cv!62Ij>&vLo`3C620$D_{8({FRFkK?ryoOQnf z&QG+a{oiXgp-sHb`F!XG5j)7KhS_G5+$Qa6h zT#<3;x9?DJC$0_gql*J9R|gWo`JS@y7aMY5h8T zGA2Vm{T=ZFwBF5*dZ0-qEE zE^5pGmmxo6Ju1&=^7(Rz^uN5IJZx+Vu8Y*eJUaRQ!G2{L|3-E4u{o^^m#s;jc3eZ~ z-Xco}f~%Vh=bcUU5poSX9Lc=(%jbS_J`yqHIE?^6XR87#$&y(Bef#zcvZ*m;iGy5T*mm@6!x<|vP64u<{5s)a+dIw z@|iuWK2J46J@7B#fmW{zc~G3`{h*goLvg<7N`=9>JdS?(jF#93*zrg3H}~6My*uW` zcJ{PI6;l!pnilP#Bbt5Ls0_R)F0E2x*{PS7VB@4}(P zXIvi%{dPa-S=lY{XYHP$uGrO3aP{y4^2weyi%+%vdd(!C7wgck=-zIw_0hw~Uyhvv zt`DCcWx3+*D4z%D9N`ns8hcM>_maW&%;DtYUbm0+=Q(Kqmv{4k^INg~!OPX6aTVQw zIE521%yN;J_5uClX^e}nAB#M*u4^ej`CL#xdS2Z*HXbqLIJk%yM*5`Jp_ZE$Z{RPU z`9jaHU0QDaoeS;2&CVl;hmDEEdJ#*@z=stagm`$4w2kn8*PVQ}wV`~vJQ!(x#DAJo z{0~Zzf4-k0ESHT-QGPz`rg%~gg;^hYX9Vc3?~1BTNb5ea>u7ExOvo(>ae-@cq0zFrTk2Y0oRRl#zB9F?w@QzBK83%JR#cl%PY5fXxq)) zFVKs?un_xQ7f+*c^*=-Le;7~&J~OhTUon3TN4GO=jJ>3%Ra8;)3SlETpT_M&Ki8iJwZ+O=#rYrO~qK^_p?E7D*VySavt>u zxE@~>T(q3=3wT-waA!y#aP{+^?$%$rl|?-2;{*8frd`%pE?oOSZ`NNU{gRslEmvm? zB0ut`8|H0Zk7kE8j$mNwCHC*?f)HIpxq{&&|N z@L%{1<7MdybbpwXYqiyzZd5;Nhd0J6r#tYQc-4vqsDFKL`Xu-ir}rHvr5~N| zZ$D45T#eaJ{#RC!zRP2rU-Hdva8vIiIGd0Gy$GQDm?$t2<5kWg+y_)Px+e(71A1P$ zNGSaMhQo*DB(8=H4g>e0d!sYCCiK$t$8gJK-BP4qe*U&+=6Bw7?^y8gGN>Q+aXO9n z$gr_!k5?2YuZ?`_UWMr%p3((e7A}DNJ0niCu|BMKO>q62JGeObPiO06{@?q>#&Q(T z_P1lKUNk6=esyFqaHsVtoI9%DB>0GS-_iUYxQ+XRR8zs7RRw7tMU8>zcmFfukM1K* z5t)6N<@)a=aCUJN@mgiEPqH@jUTN|+qj5RKabBoWS@-G*x3K>^#crd1_{?TlM=X6T z`sEYuBYyp%A@Rq>!DXHEqY=+XdcQWuD}g(mYhj<%@n11sHM0fgSBzZV(=#(p=R`@0 z|LbHg zOg*FdJ$|!}<^McLuKEEk@)vA*QDKBz+#oNJ-wIz0?}^9#KfI7R1^ z|IIDXs{-lJ>$yKB!pFG^y@=`yF6t%Wp2PA4AbuX-7V~JHm&bb|`))4re+nRP=3d;A z)XaWaI;|t~TWiYa^C1hs_t3c`RwN(~>TDHlx!79?K5}>>_C4nZZ@g#mwe;TVga?6} zJ-*1lGi?&ZIXaAZtK*^8NAGU|u7<6l{WE_Q<-cqZa1;L)T)iuT^TLUIOL=qoOzUD+ z>nKkf|Hszgtnw9%S2#x!EjPE_;UjOKrTU+?I>>S{pZ+c(e|Z7!>lMr?c|{ ztuHy0-kZGXy~bpWME=?1uQ;c8#3J(lZ2*mH8NE-L543-Z+qr4J&R4^{@Y__+svezR zd`a77h%a^A&neFzvd3G0)~@O!+rMda3iTtFKA&N~%eVEQ z7hd%-ULIEl@vFK9dU2xiW$4OW!M#EiT0#ELW};s`;KXS7`dtQR|5BVH?&&zoRbdzE zH-+9893_lG}=zXHzh=12UjZ8h9`+4|++ z&ghD?F8sD3&#Y=L@?Z2LjrVmiiYMM3oR?_;uKBts8;?FUg5q4!8~w^{tLItH`o4v~ zaLtltNFtO9plUz%(=^H>VKNM8@m$M(a1#eZOk-#J}__U&`;18n@x zth&(aMj42o<*mHJ`iL*YRatLvlebo)<=hE|j|q*xVxLzlUrw=~X3{9?_tG}ht-S9x z#Ol?H#l&mG!-vm!iT6`^AQs$oX+{1ck77R;LlnhXBkczKpY+B2scHV{;{5jM;CSNXSpma;G>^-fr~ymQZ3?)WR~hdeELV!QTp!Ky&+!R*elBQ| z^>Nk)!k;hhLv^xjOd#~FOHrKpV~}U{`1Bad<)-ZE_ES{efpeMrmDp;(J8wcL&a+=I zUcGz=#_KGjdXSNxSig?SiTvcJ_nxS7O;>KL-C!4GT zHwSm2U-9Fu<(4}aeBq;>_+z}{%8(fAV{S%+n;C(`$Gc-(&Xx_}dhA4SQ>rP}3x6Fz zyeOwU=e&#e8WVO6T$E3Np8t8m-}cL|od9=crGe|*IeOTBb@UN%et0eU?{V`*oH6~# zKky>*EY*lut7ir0kiI{yQ?sM_D9iaL`u$w5+zKC2X_K;CwQWcGVu#89WVb1n>)N!w z2$639&c98Vh zv-*v$gFNV>cSzr60@jNdoCbe$q#)Lj<31Vt0L#69yQj^=y(H*OEd753qyOv#|Mq*q zS^v|BN0m6!({iVG8|t^lEX=z~o{IIQa?J*p2kBnnY?&Ep^`>11aCLDI^yWqq^iKDU z;JoO+bS{S%{@LnP(Hy8-Uh!ANDO_UvduDR>OhfNP*in zSTCkzNm>`HBd}gnwqxUMyL^~+{ubSVbz!{vwzU14ziz{yjZZ+Hd31mq^aW~B{M##G zeW~FtxaadB^t-Uy8wh`1&ToSC5v55lGFO^?o_*^w0$gX^H)b@)dFu4;Hr2M9;hQM_ z5&OY)g#xjb%OqN-qEZjihxmlRFSjTk(`qbAK_gXdS_G<>OzHabE!QX9$p35$)Em!Uc6n+hXB)*i&B#A({k#km-&!`-+406+g5d{pK2@KG6a zun&t~)UT%J;N~&(a@1I? zcYdbaf58h}1UGK0>3r#u2p{c1>r}>fccANaT-i_OZE3`5+R^Wo`da5jshM2AUI#97 z>_)#VF`GYlz&ZHq^q0t+p0rO}AJhCZ^!$gs$OEsD3-u;1od+$y?@0WaTb%V*AL*W^ z=YK#x#T^gC>1?7p7h7v19{q}iT0NT`4u4jL{?23GCWc{L`{`U$5fz{}s~$zdKWYo& zlvUm#&pJm`Jovm&iu2)e=(d=dq>hYPl8_5{06Q| zbtnDKQ40Rkexm&B84Yf(jG1h?Q~MFc)3`Oole0G7LwTv<;Ovhl(2J4Tu#Yi6%BOa( zj&p}S%{?L2`b1>KAN2tF=ig?>Sk4=IQ=EUf(m56K0Kez5Wufp_?ro80ooj8ZjmMm7 z2F_o80$2O{)4tSu8|7h4BIZlyyWZaF+4FnQYo9_`7tHgQjh0IzN&o#b%8$$FaLd)I zy5Q_xEcPXKZ8**;y^!jVU5KN4SXXTh^bJeWd0P7p#wEumtVh3VBgp^jBU(qjTaHi7 z^cSb;ex+*WrFHsmU*t!9w*Y$XL%&C>6%Fxw5TBj^?zCJ;@z=-$J=>O5w`~g`58TrO z`;Xk1b)Rgo3H|C0`}}Obs?Txqk68vTePeqfo=|#!G^-|nt2I-7EqD6U`6%~%!n`Pv z*3{GTI<(K|?e9Sr^Q&419`xSa{QV&i%)UR4X{~wS2`a?IXcN*rQ_&;YuJWkEg!8RWKJN>_0+5QOX zN39$_z;bh(-qY37IOJLP6ZxPYItD(@s1$JC?IUYtMB_Nyx@#IIYN z$GFrMcg%|@Gypy#VJ+g<0f%sZP$Q~SoPI+Qr|i*Uvh7!Sb_HjR70pX%E$qX5%1dyb z`vlcPwo4ju?xg#JZj$vLAzg6}szv#+Ui8)4G>;!Xt+jgjpf33=^9N_20|Vf5lFmVs z_6GAMik_O3YU9azf7An$DQ{t$<1CjY=>ExS())rFUVJY2xL%Zp;@zQlO6N%c|JIS_ zH?2MG1OBU9dS?2F&db21&ok_MqNkgi)r-#$z*)d?a5i!U>dIMHhT`8vT&K+pv_7(5 z)_ou&1A4x`D$W<35=i<$`n!|KHgo~{Wrb)z@hXY&I^*VIKM^OplYadMtS^?Q80L!~ zuauRy7qsqn1WvL(IyEcKO*!Dh2OSKx+;I9kmFP+L8Bt<4>QIfL`(um20ypX9aep&sa?t(3afLrCwRyYs=f!3sKVsKsOvk~qmPEadwb^2$@!?7x%c3jSG+Q;-se{l8vl-}T{ z%2B`Xr-91@g@)RGO(Lx$@o*OEN_sTF@1bUA)_U(ifA?U?Y2cZU{NKO-g&B|^>3xsg zNPA%G$!yE~pOcxNIyIQq$^D1-!Mn{3wsj>>x>Mcj1@|m>Vs4DGoMq1iu4_-h{?7|0 zj)#8jzwqIIjlh1c2bGPo+zGz{E)SgmXT@vIvVNv*Tk^TN8v8uIzsSMGrLuXfHs{ohzK#dRPW&M zps-T4yi#@g)GSrrE7fO6*s!pkgL@1K>m5wINzah*;4~iIuV-j*+Ii{9)vH%2U#7e_ z#{0kh^AkeYnCo|aX-9Xx@Krk6d-d)lrya$Ck5B2`6QTF$s85W!g!9pDZd1F-&FwDb zGTP1LacCF62cX?$;&vO>D21+*esj<+YjV5yX}bTNvglt|yusI>k8$L08*sZRzVi;Q zubTfd9ZjQgXm>5s{r?+;c2%b>+Pz4=UW9YIn*0R)yLLfW=z3eU>;>`{`P2K~a{D%M z7uX2n7hMY+p>`dd?!RFV#wTKbyg@oOCF~Zp%kAm@<1%vo8a(6nluv)Bc9)cXecvaK z=sJ^s41Cn{{6}&9nh(gYsdDrtwd-9wxS!}{>#5!TC;fWS=`U(`zkdV0T=M!?YFCf; zKPK*dzV8AZwf~wYbd)jYu28#sRGRgZ+kv~k-@TxAGs>NzcAK#OcRKgZ7ewCV=R?rH zIXv?jwVNx4IKH>Ja8wz8ehGc`CcmLQy3uty*Ioa@yy@mYB9AuX`BZ8beW&qtSJxwc zQD+oiU*qSC)ULu;JG$Oz_YId-d74-u{>c*Q+&;{~^7LnRt%cT}(I3 zyGWRTd6PZXa{rT7Ab#28XTJX3gokvU9=Z$TS3mu`j;=S8kBlTPEA~adZpvD;i>g;Q zK)4dnKuiTjA_KkgL6@#RTeZ(EJX zDATxlSPywuCN#BP+PTQTjq@-+Jfo!Z1Lbegbtd(|C2F?`{)pdun<0~=^CuHfFScI& zJ7{mh*UQkS8L8d9@6GW%66fGQ@yvbr)k?(mZrQwu(pLj`Wl;zGm)qNhZuci+ zop>9wV!m8d$3?`|$gJ?uBf7#zyn2*K+^hEndh^*7=y%kRp8o6&`N z-49Kj1piJI!Nq6YnTP)Yy_#GV+%DP*E|;{PMtW7gI=HI!3F<{2-3h%{jk#Gd6Wq>U zH3I&_aL2F>FvC2;HG+ga8Y$`YvNv(XyzSSgX?iI9{Gq}mBH0VKX4gVCLI0=xe$-q@EG%` zKfP9;xc6%u^kU3j%%l2iRVewp4aeDM{uZ9!vx)tQt5V&;b+#06-EwIk;<9dSaMPw3 z{MGA=KH}y=HC6#47F@1kG%SzXkR-snG@xS0Dl z^W9um@@^N@o2tALT!+kt-Yx%nCh1*+XmFSO1YC~F@)LY!9b)}{!F3gK6YIjOk^pYo zmjL(H_{T#3st)Vp-ZSqO(2KaPbsJn>_e1^Y!>f3m-aF4eQ^GMWb?gY%wVU}n@?b~v zJnG(s%8-vYj{Ut`U-N$cW#=)(UHLBTllTSvy&QSwAf8ffn2$Wb`$oZ>SdVsJJ>*jr zEX4KPee{3eU-%g7Z*S!NWW-g}zirhAdhhxR)VcmX1IFt@zW~<}67}Qem7BRhm_cU#PuM~zsjJv-_7;WuZ}#6ak=StpjXl1s4Lad zg3IAO!DaG9)RigQf%*E~*jL50_Pxnp1a9MeJ}ALHJBy9>rC~K?CiHsHyWi+s2Q?o@ zdiilH^sf0>o|o?m52tqd?{M~+TL|1XtUZgkDEFAhyI~RP-?Pf1F5q zFUM=y6HU2pTP1AvrHxl4@$-qf zGLYx7ZBg9s%v<)iPg}G9Uv)=NJi665?zalZ>HYIrByoG-IP*Nez{f5Rhyy=66x@s1 z3+{zKn*hGkf}5ht!1ba&(3@$WfV+@6yzl)n2+wC?^?y?)$^X>ox%Ul}_H#g?!BF7VN)xB-Wi9e*tyn zoeqJ&t+wyaQ_^K(^yPGi! z`?-*<(XWg0;XWwy1_x1`dd@M9|BDjHgKHZ+fw=diJpAR7UAWKM{=RO+?JsYk7ccvR zyTZFeiL2ba9_7jn@V9gCqfSJv(d<*`6!NLZ1}#iZ)4SnQ;bX3?L%&|NGI8Xi#XE4< zd+{GtyoDUCST;A0{&hy#Th)2n+n0K-3@^p$v&ppg>&I@6Erc;r`UEvq- zF(un^9d7<-8TrdREy4AzUwK?h=izzZt5gI&qUb=5r}%Ze2e}rVptq5Yz`eSALdnPT z8i0!?>HC%6_%X!AjxV|1BL2tm{IPO0#iL7xa=)$mBLB9*HLN?ea}fHqWzOUMS)|n5 zM0&4EY3S9aNS@!OxkHFsvk=_ne}nkFfnP4Aer@+I=vVeQ&2`&!&K%N<0v*B4-ntIw zCrTPR%7xvy-;OnrAGc(}a^m`QMxMu(pTb8Txwr^=FA#cf*0+d9i1@|Cy-WQNkL|S` z{yKY)0mNN1-VeQ&gW>O;J2Nkt{HJ{ly~!4UJh4SkC{hP|kDQwAtjNztV`u z^}ow`*te$*ag(}<$Gi9rxZYhP7x{QcIUf07DfTg2JR|lKFKj>i|I`Y3RxMtj&TZS@ zIG!5WIUn7-je`HA0^l0_= zIXtehomfAn=@jB7(@Xf9O9jBa*N^HGcaIN&+sJo#PLLB${UO> z;x4g2^R;D}2Y;wZ+@1;m_iA@biG()E;_i zTgMT11&%?lYF$J;YG^ck+!?;V*z3G5^ubctPvlX5=&g(7dC%mXFX<7xk#>nA257XDvp^y@_@V7#_!_2tA(krU9%KDAK)YEfz|eA3@{?Al;n z7jFknB5tnpcL|w!Ex33eg#4KD{Cz+V=l31kIRbj!a1H#8|3r+}t=Jz)K6hRrG;wvB_dU6>0k{qciUME9_bIPzHSYK8&#`}6Q4~Jv)^Gg$wsPA@(z}~QxeiZE z#dwwf(gs+ih6V5BN~y9&=tXDu9DzhWQ}&@qka7R zBeRy`c<$U80sWG1xXxD>nL&DcC6@ia|H$iT$_hL`m@HG6|CtN(rAH+7B_Fx{ zG4~sP198f3nU@gvR&D{e#fEVFwF+aOl=*Li3%}Z|pOYh=^lEB2xC*~=mEzD%AESPB zbVFW83r2FC+$xT|X}>z)Vn;!6H8d6bp}ENK*E*#%$C-D)aPqfXKVrNtpefh$u{VL# zkEq1^k889Y`?>h1RwUw?>Ek%RJO#bH+_ye)U2_S1(lKU zL-CuQML2KW%D~5ad3-2w-SiaeW9MOhP1kmvhNkAfNi^bp8&|i|;$$iTTKb*SfYLy~Vmmr!3n2KTa!!aDUHY=&O7 zIt8w}ENhH-TBm}$+tZk*#5X7I9sdS-Q1u$K|LjU!pShZVds(u8%fAoSA-xK(j5uxQ zONi6G?v3{*HG$u2R5^a0k;%od?nH@r&U5h|Jg!%tVx8)vyTI+?jF>M~ydLJoJInR# z?csT}&-*W-eqA%x%NgmsI4A{+$bW-94zx-)Rrt0oSkid!`pybQ$un>pr+_ zn*M&5;*WT2wz}Z1)p*Q{yz@sNALYLf@58DZKW~_m*;|m0-o^Wj_vRPqb@c|=H@vKM zInP~Vz}26H29l4=!uzvq-;3wnx2zxhFBHK3<1XIkc{%-l0r|T%>$Cj)ql-9x9#}V={o4)a@!t6X{^a2=f!@q25g z4uO9I18zo_0Jo=8kq5OQ8~o+4yx_7_e4BS0oe^>kx-`5UiMEtT@CG6XFFTWp& z?CHM?oZ;`uDx_Kh`FJ{=&*S$F*`ih=aoKGc`vfn#=u0~nKOdPyNBv{^yx-l7y0!g2 z=}&rfX%XVF!E=!xeJBO*r=DH_?p>DPvf9?E&_B`eR|T(Pe-LL+a=jHS4ZW<&zwgM4 z-x|`(Ki{xVMjzslx$ks`&teH5UAqnQKAZ5qFAhxv_pX%t%|~&E=SZNVt6d5{+Ar+` zf7-dtpFI{nRl?Z+lkQw^BPL?Mm98j!ME5w(|33>O=sKk{-lwBX-G%$IEM8_S`0+^g z$?yi_6<7CSyrx$NaF{l9pLWu`!3|~-URY^ zcm0m_uCip;h-1wX)_-xG`~7ACKkt3Z-2T*`=W+aJqmyaeHJ3xLo84xg$_K_0SM7I# zJKu+M@XZ`JoQ`_yAoOeYzeYaAv~PIbtzX0adfmb0wC2i}C6&=FB7?yKf5n9~ug777oC;T*4-B(Jq#G=sK(yYX>ur zEzJ95ktbMRw(~V`Q(+JE-a?P}`Lid$y;?WGZI;(RqF>(;aJ6$C^V$i4h_iTa_FsIG z>$z`4Jn6;JIB>my*QvKUX&8J~b6vS5+u$SSJkiAE!vN@Qj)UN4W+W>)Oi|Gl_gus{!0^=wxuce=)|Zw)JHH-)e%p=?~$r>URd0i!*}T zXE#y*W+U$>@&vzM$oOet-z`6RXF!6 z0?s0S)ypxTrmIQ9Na$p3G;4`?Zo;Lk7lsGN@H*}C=qq;Sf5Y9Ng!3{JtMs8U4z0#d#k~isd@b#M~7Q zg}*7YK*MJTb6wG4UF(#Q1BuIm<@Ye19)DBp$p5*N^@; zkoB#keXzQZ%J)W1O%yGoUzV@u&!N1SC*kACRpaP$xU-iWT=v{KF2-16_ zR)O1kgTc+Zy7(?9dh^#vn-kX52xQRCbof(mrY}R$(VOM-q!m#pL6GJ zBOh;3W5i>={TuOk1FHW(K3>EM=DmMLKDB=Y?#rff3(n8xb?}jco+5AVPwrPd640yl zdJg%x;(4$hRX|?EDMR0*UonKAXM}$t^lR2cpl-$Hw&+(++>ZFgnc}qTXcSIdC((47l!bAe!{<@l|l~_;18-uYFaM{B6lp z_=_W3kbjf!7tT*6-uGnXD~Mk`Dud@DRlN@Mc6n=XeInC*^7p=B zWv~U3UM8(w|&7y_Tmx5WiQT;yww_9Hn;}88TAo9?ocOiy)@rA^n2k; z^y~c-0q)iPdLnW4&pjS*h8Dc<{X1bZ_{;*Vzx@z;yJ0Q%F|jB;pKZ$FzGJqQAD5iw z)iXk0QB;9G29nq;VAg0y=ZXVo?8%)ej^)#%cu|F>hA_K ziEEVve=%%1&*Q@T4WUoH4ZUm2zuVfP%{LHF`(Yk>yZjN4_xDj_h`YG&z?I)@>`N-D zKH_nq|8o34EM$NGgLp4fwF_e%c>%Y1U4M3L9sIS1-s}GWb*OIt8l6o2Zsq4IvDF{< z7cc)B*hbbHnGHp9wbxkiVO_8(bu9 zLch9xc|}~cIu5RLECZJh-*qK!L#}{(uf~JhAln%}m-szV`Mt-yh{Zc<`_lAcQxfti zu6%=a?fJb#{zcI;@Ub^|pH#KGBYsn=0{45D->^!v7+;JROJph>q)uBstB4ic5Z>R}Bb39?0c-}v*2_b(kum<8$CEH*gbt50v zuiVA&`|i^WoS({FJCI)W_UHH?X5@HETnVFiM9aqDX6=5|k5{inFmV%_9bEK`hmU#M zJsiE+8qte6-1Fc?011AlL~ zcUPdEO^1r?-zNldx&$!+{RVabcO}PRUW_cy`|uh5zg{`!7~*js|1zX^d1pg!9;d%Y zG%khvpk9;{>qYMUj`xRdh50+cf2%_;Wgl>TV?hY{$iuup=xt9hU*5`ju{18xGMvXd zaTD?;swd4SZr<|qr)$c;FRLzv;)rYi?mUk-+CXov|?hD(o=0nfF6`;-N`e*pW^*Q{`vwwRxTKZe*O4)Onx}e{wa@#KtD8noxa)t?j2m!AH08N z#3`nFJTJA*Z6|IrPDg%h&DY4Y&Kxr}nRqwJ`5(ytSLWqki*;xB@O!%P4)Q$4Ey29# z3$>va-3p?v^wPGA$;V}E53YXV_in42FM@wfu5;V2BCm__Gba(34R}AdrX09ATLJ!N z=eO+tJ%6_p_1oe3#63uV-W$NbFMFwcA9vsJJ|X-7M`4AzO9Gy68`=KG4ni0ciR!F8J$N8DT5X$*01{aft& zHd8S6bDgi!IO0}Z2iLdK|4(Cc!Jp|m_fsqQs9qbf&+AgxLy4P4Gq~RuEtr3DB@+Hm zcZ1u!C-{E7^a0kLDY72>f;{{^-$(v^Ie~nx{esmo3P literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/25.npy b/MP_Data/pose1/17/25.npy new file mode 100644 index 0000000000000000000000000000000000000000..42264d4d6fb77b40b88d14a212e9d0bf03f8dfad GIT binary patch literal 13424 zcmeI2_kT~x8}>(UyLz`6Rs;#wTG>@Iy45>TPnxz8NraF{c7jBN5QHEb2CHU?Ro1E* zy?%9~8)dED%PQf?TzCG0=hx@SFQ3=vJ=eMBo_p?@Ip=&buWO$!-Mw+HBZQuI}7**qD&e5bwaDV?zA=EpO*NdaQpoA3MT3$Upmgtp*+*-@Dg#=aKyX z_OCF@{#$bKj%W6V{;l$5`{~Hmw=?YbeP5p0@1oH!ckQPc8hsI;x%%C*?XozvJBQAp zo&OMncG15#+MQg~ZbpcI>~&82WNP2s3+=2>j(=25^v|B(p!ODV#`^P?)Xs`-y=||T zn<`}5PxX5Y+F2)RS2MiP&PVk|yFN3G+Cy^M|9eFJSM$4Muh$P+owxq147EF1H*Z3`c_7@sLS_?p$R#gR8{yV*qT`p#$c@9cQQ*}x9w_6j(?4( z5A1cSOeFa%YIOwd%d?PQ*7nE^+s=zpKYGTwG~3R4=k#CS>xpgGwQ4}GKfm8=+s(CI zk1ZFqcAvMOvd@~Q_LHTZxn$dQo(80k>AL-{3sYX@mq5fP zE6sRr+xeWs6kkd{@`;=M7W&Z#&)Rl*{lpdf-I@6>=8d27LLNol<1cNyaZjM@zgdd- z#o$S}-n__t!L~ayM;Uv)_Kv~4$lg8iotMA=!nW)F^KiX$>;uNBUp;$c^=3{Mrpizs{hIXlLTa zAC`;PY0+rU_2FOpsUP>w!e>y&wHevpWs8#MfP`bvMcf~jvRT}BKteLo`LI?rgoL5;!S&<7}6{g?R!fjekWgnJR+OxBgv>2 zv3c2T+s-HL#r4wnzudN66&^_6Jwngec3tZ7J?rNjUxn*g^vaNo?C(6j_7mG~%3Vg@ zWR*;`J3mLq+II7D%Ol$^>vGhE=<0#EdEuaWxPC!laNXex>VRF;%PePQiL1aBS3T|b zo`G{McN*-beP(1K%$KRxCKwYTan~)#%(=Fwh&E>s2 z$g^o)8|#*Rx2_?4;?rq8ZfQ^J`C|FjmOHP)!TE+h;QU?jR`5x$2d9IiJk?$^Em_asJ9diu>L&hFu2Ov49?wl`&;gu8vt&)JRsi3)d%_) zKZ5gdu2d(r+7`3^>O(Hl-(84!oE1Mw%Xzh6#KY_RVqJ+q|L*X=<_5h?Sq&e(zfm}R zYBxjPc&}(0?}ZmxJrrdEn+@Pt+lgk075a&%pW9QK&a@V;?vRV^oL5yiotr zX9?+ByMXi4aZ|0on$rYaHOvCntuy^BXL)WCFa9;v&!9iBPIbg-aOc1{j7#i1f_2Sm zUqK$kLydWHK1T`9Y#XNv`OEKW(tbX1(j@CI*LuOn+^GP6IiNt2rv^~`r6-^F%+~QgzMF49&6Zv?-b6Rj?{-I?^~4VpPk}SUPdqAXeN^SID4rXU z$fr7Xvp;ysAMke;1%k6_u4&evt%{-X4)ejdoOhQozdFwra5h;IA5sH(V6q!H?=+tL zr*%O6%L>CuzjhG$56=p;{p#(H&@Y>H7kO|x4S-&i9zZ^geBsY`HbuW;>Iurv0Mbhr zG0pl&u?t-E_9dV6rnHY;?oNE_ZtSbhqWfM}&muRVUmjHldKQ%!WydRe&7{1&%{phl zJ6k6GYV{(X^ybhM$$6Hui4PFJ{^t&|6m z2`(qq!8&qoCxFYSuaO_8$RUi2$s}<8O*rMb`Q2IYF@uPIP4lHv^Na*P5CSevg~P|x z8;Nx-?vEnw-lL_OTn5}s^__wEcfKb6?r-YXFB0dD zDoy@U`+=+S&*86&(0MH->4I%$gKvScE- zGzrAl2E<@oCu52Kdk~yY`5t<5(T_OqboFWQVV%0cpLGeEVEfghqlgd7iBq>n-dM?_;MzyShb{NRx-%n!NIx_K zTs--L_*F%^4>9AGQ9QfCpw}hyLoW(1!oK9(oR57*o!Lz5<(M1opI^#^*m!uc4&-0B z6nspfadh8O>$D8dT^49As)y75c*{i15t;p*lqZ$Egi7lWt|4$=(kB{ za8sZi&PVyG_Ha)-t{sOEzf;l;dC-mhVl5Xf>rj5a%fLA+2B&yiu2bGYFM`K_EBBgX zEoaHJ9@UYJ@E7&RV7A`$C?QTvCr^UD-nG( zX}Mfc0eKM5cOxEs>N?`dehz?Ms8Ps2?|g*T-PY0Q*Ew(r&(G{XuMM_ek>&zDzyB-E z`?$7aEO+`ZB%co-5kJpYXo>BYpY}q(tj$@}txoVtvU*vjFSy#|Y3z5_Grz*;9|I|G zhg#4&YO`a7<-8`{2kJ@1;luauNwHit>;*kb{Q>bfnS)a;H!(Tq>D0~ecl?Y$dS z@@N{kGx`Cz@jdMU{>dNyGJFa4F=uD%Fzc_&Xz~y5O?mF&KG*6^WqO`s#|xsJFGxk5 z>rLh0!-5WDTw=FMg#Z0L)NjEg%IEyH$(HkD3VLUXqJ5y-t{B^|)1vKN+wPqB488tR zG1Pu%1vBAe_MSof@^Dxi%jNH1z}4_Ha8+T_P|JC21@dn)k9ec;qb=9_=OAvQ2b0f( zjWaBFO1**)JM#_ccNgjopHut5#s5BEgzlVMn+&V}ItiR_$qPM?>VZuHUIX(Y zJj>u*VDZB+UjBX;%~$5C={8PXY%1m9M0={+aC#osZ;lcFx-axy_gX}^ZRw($%u0--OtOT=fTbD&3-l>Q|>dy%P!M> z1+Q>srPZ??W#Gd~_oMuL_~>W3svZxnU!Fysi=!HGs$A`m2YHa{&6)ObxbGJOyt;h972vIoz~7|&MCW+LWii&r?55`(o#qS93w}%Y=auNa zgnF?GT;F!Z{ftq6!$(g2K{D4u?ukxz4qp0D+^TBI+rjP}X&ELx}kbfEp;=UER=>(i$q;t@yx!n$)ty2D?r zYYuLHI0?P8&9f`|^;rxb?sAUwL-XOjPDH;1XY3LKC(i-Q8xEfFQ;YW|bM-MoLc=VWnNj84Am+DHFt^*&nCV!CS z;vMPb&V@9;L7#eC&P!aSeeC6Ms>4b*aUSWAaQKUf8PKbiMQmlBeDbh|Mv`eV{LMwZq>%#Q#@@vVXeU(_Zz5N zS^m><%gwl&>%n>1bHv}S`N8(96Q6;rX>-A4 z;!ID=W$kLngHGrOu6HeU2Or;>_}xO_s`B+}@L5+Maf-UvX?=B0Pxs9B5!L9qMl}vb z{!Ij@^JOzV7popVr1yG=b!ztJykG5{kLo|#6Z4{PQ9Y|dG>=AvrP_YEPmZ4FJpTqa z1~>mm#K}^AgO6C>1kWAvpaJKiJ2-n)Z>jZRx9)STplAAPAY%~!?g#6JzkeW^ZMiSplV1UNrf zGr%)jubPy-Yd^Ki1LWCR^>C5(QTyurW4YsgjOuF4!I}2EEZ+!v`R;of@1Na~PwAEc zz4EVf9@jPNvBrKfe+4~nI1BxneO1CNSO3uOa!zIpxDIO`VYyDr3m^6_fZ{yfYO>|x zR14w@a)HYWpJ!PvtA)Z}O`iZRR^J*ApN{9jMWL^#{pc4iy$6(suuB`Kafw~)G3H3dVzK4?*C+5d!Bw%JuqWPKGP1d@ z>P6!nkr(@z{Ir7ZTT*%vPhCg*+m|v4R&Sz{$Y)g*aMtuT?%zz-c5uG0H*r?sSF7id zlfdQY-@!%n@mR}c{BPv{ILAL}B+ea^!Vte{S0DQ@3rxpzG+RUO|5@xq#IK5bE<^lx zh^uzpz{MJ|9R7L7QhxR?xZs)HpSaj44xi)3qF>fy6Y5sv-#Y^OmWwFm?7wDY^^!tvyURS~YtN*}7gC>ZFxkPwb zZaz|dsyv;DXI>BX%;vH~4E)99TIcL{Gqn}Y9i2(P%ZMj$q1S!_&$-+s2>v=`2ah zoZV=K^~;_P!+S*;ahLQhx53}Uy&P?QRQPdRVD6x_NRFqk}}b9{fhPnXT^2+Fn`x5%gvOn@Zp0$oUy(-`mZqi zX{wB-`TF%W@+rQF!n!l1RzWXo4+K{?H}!QKyG^3?;pOAVe?<_uNT`hUqKf_juHB{(-_ru?MKl`?&c|0qo*h*W z_YZ7;Cb$UM4!yI#r;qJdxf~_E7yWLcVx%|v-E#n({jiqwZyI(*oSVJD&4QE2Gp|1{ z+3HoR+2A^3CG@6P=kb>7s#I6z&p#>7*=wRLH~l-2Pt*P2{C(GHmdiG@uZqb5bf5V+ z3O>%(0Mc)`N%vzjV=%vt?{IM0I+nP1BHb@t975bQ0#`jx!CwXT1?M-uP@I7~V-U|L z+E2`eGZfD&Kb&i90?n^jd7I)te4g%q&TWB@&ME+Zxwpt9#Q)Pi>Nm;*oK3!u_*sn` zr1zItFSOJSCe*vn_|bo)qov7 zmh1C5&xuRoY2KIQM*ZmV3Dj>cdM*|ZU8U7KYdV8-4}a)I?ysSDmZpJ={qM2A857T~ zo~7qO-O8bKU#j=D_4CZeyfv*O);yNh-S17OLO-Da=}QkkYjt8(N30h%uLAKV;j~_E zH;uOKI-Jg5y(1m#!YpW8*>X9U^2V3ZdmB~uT1)G%9@e8cv#QhjTECp?A+s*HdJ+hK z{_lHQ*Ud<8;%{JGo5ElGt&jF_Lp)+-E1cu%R+;IxU)5qgxb8vk>saWBWXnZ(KkE1U z0i<^xO$7hfhkW9G#{MZE=f*j!r&FHQYA@tdmAV*a`*nWI`M;Np5tO%Lb&@S-6Yi1E z!&1=ehSQf?e>QjyILk-ReX86``1AX{z`5Hz(w|JG`-BG15hsgUO#FD`@$f0Q5?oFV z0(aI=zCZ!vr?_z?9SQu znz~XRULBf;ejnDLcn*7_-c;Q_OEc`aR?~UmT<-}V@oo+68?!&cUpCqWA5(YHCd9L_ zHGItLHxy6uy0+FwH(U;`!e&!GFRvN}|4tprXY*S4u-EzLS|2rp`qgi9LoaqFC0V_g zSqkfs?I=y_DDw{bWea+f|9yIIrUzfgxnnAJr+A#Lh~FIEh37I>Z7cfK7e`}ZMfw}~)>s<}ea$L}Qx+eJaq;SL3o^2OMDw*YuDsjOukw73b>Wmc1%F-k z8S=*0f5bWE9Qz2pm|TSFf5s`)n`wO-oW;5kpIqZt+pp@LbM7>FiTIiSgwD2Ko%I6# zN^L~`^+zAnxlW~hkELcJela)!d1hWsp%=sH|B6f%&t&+o4FxwoA8*?4dcy|zh)2KE zc(WQJ9;aGj1oVp|z|BH>&!bE$%Fkjt*Yr^r(sw+Ae#OOf%EOIU$g{JgdW!WiO(()f z)ua1rt@DIi?sU(o!xh7jH+|&sc*M2u6!dyZ7jUP^Oz2I?&%{MvaI=31_Cv9(67~Be zl=SO-W8oij7hJaZ8S#kEsdx_MtIL7&So*&X=fIgb=shT(=CB)`JE7a6Gi;vrQ~biq zApfdFI-M7{=)RqQC=Wd!HI44m21HQ5XMRSWWuMy%tiPJn3S58rMEOt1Guv``c@xIP zpDxEdYVT6t+J0rL+vKyCez!Fh-lNX>prO#St&cEXU7$^r_0iSo{+!3m$G#+Mltw(d zZ5HM2@FMujV|DPJRyVJNbtD?!!noM{h3gRK9@=mD^}DD;IikHpJddVPzgdN_PMv29 zCR=VA&~u7z)()HnPM-?>i6ziGgOb3_reNsxN6NEoQVe-emwJz}dgs4w6ldIe^s9bf z;cL0xcbI&3q=Gw5i}^r*?*h2c(crA7Lcbw7Hn|~|A*FY3pji5E!MRP zTTJK9p_=3~`7P>M#(p)$`iRnQ)bD>MkY{!7g}`-iFD+A9!`Q!0J2)wAe)r2ldS{-)QJaOgwNQNOw7P@U}B`wjGSi-Pl~ z-RPX^_b2vYS&!BukC51x*qx1dew3SMK(CJErg`6WKFIou9gPr=*qQS?^&;0O>o0em zrGCfdMt)5Emi|^RuNJ2GlXKI2jT;zb^`coDa9wym>c{bP^@Y#g0_1-$89q90kel@p zi^r4CoxjQdQ(tNIdO4l5%H0cb>W_T_p!fI{@#x7XF)owfj(K6H{m4IgE$T|u?T31n z73-0I<i6UE_FT#<6=HJ`+3dN z3oRGJbM8N@o&kNo;sPtR=5&ZmHL^)Kzi z-WR^L%*yF#%s0Uk#8&q}<5UR^yMYPkxf`!VP71@Z|GMtz#4v`*#gba3(K72Lmxqj@op>_t`h zi`U0CTOT=&){Azf=W%)NINm?V`^^!LSo$sMkf$xjy5p^B|Ce_UVqOf}hItW_8dIK| zRHC{X^~-M=+5Y^u9^ib$b?9XgpA^g4wkUAs*#LUk?aDOhpMMYTMAQX$@^^qg4|XTs zDChq$F9p#3NxnAZAJhQj)xY0E-b6#%$HbFi;LgeayzO{JjcU-FHuN4+yr??D_G|9C zV_uxL38*U;$7fhQFHY-S9T^Pn^g0Ee-Sq$e{vXVMIz#_Y!-wX)FR#8L!k)7tU?kRw zc71f)){XS>53zN{2A83_=SjCL7td-2TCVy$p>>ro8T&t zq|pD_sJpws*@9^7&$2^B__G%|?^U|)!2O}w@(Z{Q=z{&+`S(_P_;3D`c$+2Qoc%A% za$R~V?K?&5l7Iir@t)b-^gIEs+D6g-U+@L?D^}%4igRRVTJOg`hFQJbMRAJsG>YqZ zv0;|;(p|9*<;#BXR|D&XTh6vO0~g~`=^XKY3y<@3u6fNFXSuU&IXD~EoW@llaU%53uYfD> MEAV&9HVe=AKUXf)}30l{V@XzXAxzB`iAxi zDN~!5soSq+nF_p2zhNOGLwW`G92OGP*YSW}Lqhwe@z4RihWAbTT()YB8r3S4tH2}q z|L%lM2@%cdi2e__^z2>gw^w_(u-DIbBk>Mh> zpNK=dd^rm3?EPolFH`G1boa?MiD>7|sogNTUzPlp`Y-zk?P|y>>-=pUYBzCP?z#K* z5uWU>eEV{=vjA$>wg=j6U{|!O$1Bk;gVWoC|3UxuOTX*ziCcWd`ODnt?Qd`0bzH1# zh4Hh^(Z^l8=$YRCqAeJoIMwe@=-zmRxON?wet+p7pSpHAt2E8Wvrh+IyLfo) ziR0F9{}p%Tv1^{Wt9kJFx@%|WYeR1mYJ=N*8D68^!}}cChi1OzK3l&c$eV34jN;1} zm+IR2p_6of)n~Y0KA!Ui_n*mr$+c@a;)eUoD?h}%iQultqaJ?tCE82I(fGoqBYw3v z8u#lpO^|>7!}k_`V<%uspOxb= zZ_0Na&Exw-#4r2L#Ql6w%wMh_9b^7Qe=ReuclV1Mqer{X>{CDVYu9c;yZrI?2FK;l zyc672jd=SApTBhc&s{~k#%q((t}MqCAMlt~xL^L;huUve*biOBN2T1=JUEB@_3DU> zBJH!N(uMN=u+^*jX`fZnHr&sPjYGSckpGUmk54Ia-L;F{c@V!kku{S@`)v4fs+V1U z_g%ZWPWP)*?=re}9oCuhn7z;?w0}6Cf;djD!u|T;ydg*PK)@jlZA{*z5C&j+>1+z*V*7H~rH-%XJ~M z9kKI^}sjKi}>lJ@4A`%KV1ZuHD;l1h1cwO zrx#ZR)}fhy0$fLhh4?%Fz$DVQs)9PT&61~~-!?nRzj)89PR9c_&v0BdoCdC@X1?UO zy|^v{`Yxpqrz|lQc@W;A7?*rQTwFUu`Dt2gmecF8-$Jh|-JtotkRScpyNS5xq3MWoUo~)^IScAVm-rrf^#^eoF#}v|UppG{ zeEJG{GocO5%eg`te19_K!M`gwt2t=C<0hp#>O!6P4f)X}4ru>0&Su_2p4pf(Shu!8 zg?dgeb8i9{-vofG%B`C^&RUKkefy5!I^)%v&PSiG0M6&+C4MVxq~m67Zpwe57nn!2 zd3aOD#iQxu)8`=OQBL$22LG>)f!j{o!9}Lk{T(+Yegs$k{}7L=8sxaHScCdKTn7GZ zQK}DovN3Rddp_bZai^mE)AXDTqj>uD#<~)1at1)3QVx1GZWYyA%-}IjFACMBeP}@x zjceJfM8{R;9kkAJGy&(6_QpD{7v6^tzy28YZ!*0>z1bZW{px!4P(P}z-yGMkuA2(Z zkEYkvgN<>HtCfkQ?>v|4v!Os8vTkF+t#>LoJL-pelm8tAH+3?gu2iX#s4LlYG3kr? zfQuOoW1PR(S`(b#{STaptbH6eb8ZvQog4LIH|@nbwV5w~v*O{jKVBWV-G`}wzAx^0lgv006 zV2b~Ry5gUvW34XEbys=2J;j-|66uRwq;>5{=L7lsMR0yO#LxMdCOIj7JD&1i@k}T1 zi)-O8^ADyxm+i0~{=H);{wBRKF0tbQ=GWxf3T~S!aMhq9_CxtJJwIDV!N;^+C!N2V z*B5$|+MWEb_a5rFIPy38HTfSR52j$VzK-j~lz&^T5B&AErs!AHIF0<6$0?Mz*>9)7 z=i?sYTl<2m=uENbcXb3 z`LGz$%h3~&Pxj_zxNDbx4u=ohR~%e-I5FFCd;KpO@7V;@zvU;T*bB`UbQ0jF}_F>FH!>j+`HpKr)Te0fQylZpceyDqa9aePm#VTtzWTn;biC! z{tM2pKEb%uyZb+b?|Dl45v%cBVBtFvkNN#2xVcpjTo(3FSy+@33?Xr8hU%WJUAQHl=hi7OUdU!6L4Mm1?EwF^D8(jEy2~A%2;=N$4qdw zVJ5g-k!g~PUj|Mh{nBILqUDhZ7+1eK*soOS##C27w4i)Gd%D>_&BrvN zbBmok6kJ|xi07TyOa8WgTk1D-%_!%uGDVVqG{vdsM~-#e`kw&TO%3^f84&NdE=bP{ z(R56@u|nrFCQ+ZK;P;v{8^S}wBA2d$9~R& znuF_`jqn^aVLSS|IL(S9m@i(|7kS|QzMbs2E?f@&qQC(>XXV|N(s8xyHT3pTFgROY zGsJPBXg#t=o8fOW??#>IhNH=+`2~7jbQ`%aDNS$VC&Ncv+)U4f;=jbB-*4X#?=TnK zsF`8tw-e<}AKOJdG@vAS;%^w2kt2wQwd(HtnK$kK>TE7>`(aXV$K@{-DQ|f zh<;^!UF643IlLS^;xoAZH#dC5yss8H&N{aveNI0b*W>bw!Rw?yPpAG4e?9Qo0Py>? zAF67@X}(syn3v>yN)@L(1h%C*tkh?`<6=q_{8?NW^3Q#;AbwRh0`bdpe^I{`i*$1S zs`)x_w)qh__ibOsaXTsq{(SyY>|?gx&~WFkPVI+3zttXj)>#|OhMv(m%}&dPc5`yz zXvevCLHMYu$1pBCI2YE1ZLp8}-9MYS+BDzk&1ial$sUQ=2lTas$*x}+(eQz5XZ`R?q2V&}VRSU@bUHHa~&4ErNLL-|^t0XpzB=tIctU+kX5B zT;`}1>$v$=meV&wnvOf&ctJxKnspK(qwYb&=%O4Hlwv%&R}%;Y0XJI8s~AaJ>~ z61d`nih##91s4~3gR^n*h?A}Nqn)`dRpJ=4XhKV^qrFCRB8t=zRec;pRXY!eUiT1scj}fN`Y(#akG`-&H9}IH-Iw1Z1 zD|;%%v#(8z^N}_J{c5q2@)kCDIs9uMhrjf!MfJbhf0FaDE9relwGIMj&-PDo+&tL} zy_m2XTx2*%dG1W#5Af$7z*W&?=;bszkExR}w9mwkk8nP`@i_RH5sjdiT_re+8AASF z8j}C2P2&)cr00}8^&L1n+8+C-Jmmqs_PU1i3_E&twA0J-o~SpTX%@z7R<;`D@A{oi z=M#~uD&@1$HHy=x4SdwnuaSQ{`f^?8qh^;U|2SXbwRU%gPXRjr2(Pj<-gouUugOsY z{jyKRz-^@jJa<^>X!0MM5kBnuUN}Fnnv=o#ynL81wynxQ*Du@qH@F#a2XV4FMHV}5 zgEo@BR|vTJ-2?li&O+~%;$uBYo8&44i& z@2;9uSA&ay>o0jQF7+L~U$a|fNMB_D?UR!~(z?FZ6!WXUdeh0}Msd ztn=6N>HKMyo`s$zgf(`YA6h{36?+MKy(}Bfbv7gIOQKOI=8@$XjW~J6aO&4S2e_jKja4|T|6a{S`BEH;|roOb|v@%5(h;9m4zCbrXi z2TS!_=D4_j8G1I7eDrtS@V;XU4y18CZ-RLg1-xRDTs)iT{4b`{_X+ycg#^d#544WV zxyHyRPhN=c0eDm*)z9h#KCH(yWiPm4#_ zYyfVn{fY6K{2!J%E`ITbkF0W;^xpGA9apP+fs2Q!#0QND1fRH`^oK8kn^))RC8g=D zcm~d2&H~r!T0_U>yAsHQ^k@by|C#;0qEihQ+WjPZ<6SH29ZMV#iDL+n#Z_&Sf?@K(LSu6uL0+Ad$E3HY1(I4uS3MQBw_u^%imM}n@$CnOAii3 ze%=-ZXXpBZi(|cUK4CcuVgE7Z{zjhF;ercYoF>8dp}SAKIZk!;{o?8HDexWbS3Rm> zylUQ0*bha@0qE6?GFO~V^=z=lUD?B>(A#~n6i?N&;f|Zpm#JSl5nQi)JQnwL&kP^A zbuj5)7M=X^mt^6gEW2gIUK_^5zz@_7~te+^?7g;x^gXi_;S)ex=Z@d?h7540Z-x2uX|xX zF&hrGOiJVGOBZmpivDjVZqff8Wcv=_ChvOeld|dc=}ymQ%>}oK#lgkfH8@x3!h68k z`i|i2!{G7o?=p^f`IX>manxkTWy~UQ^<*8mJ-B6z<61Ms&z4rgK5Pr*ALQ@!zxqKh z8~lU#Ra~n?r?>Zs^Y(3MT)rKaIj#ai;Uj;UcNO>7zB0vKRe73sJN-A*tvJyS`=`0` zEBtNYdGL{^i_daCdf0q$F|7f(xX36ExfS_0PR9OVI*&uW>0zaz=dJ1gJF3nP+WD}~ z@4(r;IuwtOPY=gU2Y>Q8--5WgHr&N20w#fr89tZsxr%opuD^K0$Nc*adi~_aMCW7Q zrT?EZq6g+(C7%p&diBf;K6-8(<@xFAFvn$Z#uRt8i?-48x^?L-?lapqn&SWSJ>@en zC&sIDQ9ZD{^j>Lt43A54_n&w``X6?}Uw$rz^`cIm2G>irf}0w1x}d);oe&S(bsg(n zzVcS+cTEEM?74}4?XQpVJ)5XYob?`n@tUI-#=3sFcOvxW@E!Qrf)k?<&zbGuD$j?D z&R4uG6b^qe1pTVTuPC3vVh-9HucCgRb_19EXjkXM&d;DYH`YVH>bS%@HMQ1|PucD0 zm!AvJ&d2UZUq{u`&jTJOQ9nHARPsMM9C;8MuhY0ZHc*^?6De<9XN-6K@&!Y{MgL;h zC&gDaaQ@+iuakb(Zpx?E&>+{ZY-R6XVrkJ)pOlYk>2oUEr^CbOtxs z7&sf$e3I)|y{7$yAHPWB4HyyXxDKZI6-oCf{&%-WIWDhmBmdml;bRA9jc{C4K16Z0 zq<+Pa8;GBI-6s9)C|WOTQ{XR_=EXXaK9jHyq`kmx^-uF*-oKHLI)Z*p&#IlBzge~y z+|)S@uBy`iFW8j;aON=$^UjkqqJHGH8Q}UnoeyPqPvv~n!ItE+Ac*w0@8 z-eP|ej3bp#5sMN05t?Z_wm(CkFMvZurMIysK71=da4U1?xgo?pN0Ni0qU%vwAV*x$3zpj>`*`(69WlH0@)N zfq0JaX&xsl?(y$4)x z>_6Xe@s{d`hjjs$c|*rI&ffNho{6UP+-!6@4*E)zXIZ5S@~ORBj!sIG>!tL&7j~vU z@}{=boA0<;m_q&DqyPUJpI?{4zjHjeNUlTka^?k|<8ns_aN9Z_-1^MMIe}e!jy$NS z1=O#9KI~(1$qI1ZJ(%>(|D$tA0a{;bQcZAPt!E?GulY>BL(q!;pDV({v7fWT&ncdY z{ZS9Cc`1{n`|c@5JBXQ#BaqiO`KKkF)@KK#! z#=~bj^=sc}p!`=|OYcp!3t&C!r+E;k{qP_96{R{--a2_wztKxjx4KeW>Nn?h#LqU| z!h4zMxefiYdGx)C?3=vA^=nrWS6+E(f2$a|(s6Uu1O1AbA(V$TL)JU4x<7)C%@RiY z&qU7^(6_hP_A|PySiUQGRA0AMf-!JQ47cr!Hhy1Gv z4ZzL1_uxADKK4BxM!yf#s}nJgykORyW=$89g8WRpjHyx>l*2IM}w>Wf!)EkXF=Y?g%6k) znRLO|Kh4MfvlZM_C`s$O@DV&0_)s7C=w+`_&!X~AIOogNzTiCm4C>96o*x9CvrWO( zqYK0nJV!Y$s;ncQ8}vH?+smh`i%0i4j(+*Xr4-MGPYa#icw~WI=D!Ia9lI;S>3QNM z@~IGq{D>kw>N-7Zk_X)EY(w)q@E-PIQ!RZx4vWHmsH*)r!}-{a(@6h51Lj@J62lx9 z(cd8+?b#ahV)BfPg8xnGmz`nAk4U){==7>nPUzV#hIrWCO(UFMq&5VX-40UycqR35 z+^)$6ZldSGM+Y4Caz3nmI5_`diLz1#Sw>8(uwm(Bjhz9*0E@NrzE+#~&>BeXyNb+e=6=3;Tm=OE(h$%hc=_csF< zAx}s@A{BX4jYkmAaDwXgH2r?bzNYiJSy2?@m8CAye$qdX^xf$HapvM`%oq171FlCt z#=29Bp2WC*)hmiqreuVVt{orYILkukXK|O#Gct7MNW}Su-s8;i%j7d8$8h)*YliW% zI-9`xe=l)(hxLTW*;5YHrjb=c5m|1Gj5vzm-qJ6TtIRo%6y~pl9FT!26fD zlD?mRsQ_+UcZWakSOGqAS!;0FatzKVdRqE^A4_6288u1d%4 z22OFdrSBoF9YWvFoUMR)QCsQv`fT^pX-?0xHUc;MexiBbuprj)|NHyjnE~GN9Mx04 zNB3PFh_<`NZZ+gs<)^Q(3^ZivHwdy z8{+hGRc`2Ya3k#Jw)Ojw@R9N4UnKqiWlJ+*e>R&wlaK#q?Az?0F;VDeNMHEK&Vh7J zD3ejb|5Fk;ySs?=-R4DtCk({C!2Y7&FPTbPaXys$w}Y!|6R^*V1=(<(R~^ftUtPBz zt|^R=QE+p99sJqcLyeqXo(lvQ zi8YwVS=Va3>Dj~o>2Q3NX}js;7s2#QgZv3Iez7#VvZ z8heZ7Sg{f;F&5OzUYoz*zP*<>=kt7LJ!|&t*;5V>)&3{n4m~o6(ITu|KwwC};Bxh4 zxrY7gma8Po^&cKQGT48Z-|*moK;l0BLqh`7c*sEipun`xUe#;Y{-IL&N^*kyzx~NB zgwWo9J@8I@IwLFHpr@%g_I?6=PWbu{`02oh^c3TxuF_MV`0XCr1-Glwf1zC+h~f52 zi_or8zTo?EMZ-t<-tY}*cgu0R`yaQ9;U&<&*zpqWBJ_w${;GC*|E=Qh)Awcnve)Qo zwuqOM~q+e zzIT$^bx&@$L0d6CXWy_}q_Yc>?xHK1zQ*OznF6UoVI|zx;8T zo?_SfWO~}f3^%CViEYOIH!6cWMKb>j{pvMmsom^K;PFHhMBe1(;pkuYiAJr}55&M0z|KHIMkFmJYOFV3Sl_Zr{7J0IT{xx*2^*3D|E(Z=jfAH)UNw4YWaKc2_;uOy&9HFP}YO?zy@ zXM1uL;+K8qas00)KcRk1%Hg;4bX2BI^nJJ7*|GFlPU??-&8{727w_+ECa#l)Os1#W z{x*r8w!lxH=_%@ZZ%9ac=u1b-(r33>TYO)12td2NSnv<%1G<#P^V})^{**8em8Q3* z&u!vz!i6`D)1GS7M$SXu@g6GevlyA{F52z;>(p*%X65)}vSg%o6R;8WBHkZ;K<#G0 z2L67L4<6KRLpYE2=babPe);5M#Bp{lfB(ha0SRe3wP#B*{Cn=-OiOI-58G6G<#d)kEuFAcGUUmDG=eK%1{KfnW;PTsfyx!%MNYd-l3hPic zISuYM{yo?`jXQ~lpw~;PqE1E9#$VCz_B|X=WS=Xf6KdQX;zrK|7vE>TNL(L(97`|eoyzsmu= z&E<=Ev1f}I@Wg8vukz^*u1<`IAub!%L|y0_JCPsf&x^)8jq42ek!N$W9Iso))`NcH z7Upq2ywA>F>O!RY2A=~RQXEas#`vA>$PVjaa$x8;&Ge4!aO?1Dz_mn zYR-nI*l)Rjo;gu0URmxHTuWx?gkQB%p^ zy-|<-hkgZj_Wy-^$_aPC-9_1Xy}v$$b*iuOy+WJ`!MOCB+biMIwB2)#rRBlz`qX zcex#Lb@w>*&dROu7haE1|Kg<|^l9e{>RgX3KLtKd@_-xDoa?7*nbE{;^&vcuuO?si zrZ^saiKeG))CvB!Rb}XPtrf_#Gvz&e#LpMNW$#;+$w!6e;CO~;IUw+5&pKy zFP#5zzMJ45Iu&|R%^%}3p3gA9vg%H7^*NmL-=HS;L%08r9FPAv__$lc{K?-fIDq*m zKc2@t^{|ed>rc?H$?ynya2K};Aidnp`8TF7{Ozpv=vRz9!{e&{nDwiVPA9#tc7XF% zG!WeGI?el@+a6q9KZJc%^xoSC`e%G@yWdoVUifdH;7xIM`W1So{ntzM*(~UwN$+f8 zz05Hc`4sI3k3oCUAjB^lNY3-z=L?9d-=AWJ6@nk6?YB<^vJu_F!i!S@I-;O?Y9rx8~P|FZv& zFEB3owE&+Z+mgZc`1Lp!OwN~~q&ElOfXnX-f{StmXMrcZ1$X-$fWH|~pU=m(?C%^2 z1b3Ro!(X>aKd&oS0+;^_Lj9XYE8yeYXa(**Ek23-W!EL_U)!JklYhp#Q_1tdMan#I z`}T(jj4NUq^9+1n7T4b(52|`Y<{tHU9&^WIzmip2pdR!MKJUc5*YVzI{W`vUZ?PSQ zaGpck;k>g&r^Cky?1+B#o9*=dWsz1Z}QdbAT z-zNHSJuHk4A-$WQ_kTU!A9`nP#9ZR0P;ThOnv=XvPrt!!-)=Qy7=#x6-9|GLxQsO)|CjwYEaZ6^vU3#t zKXKliYx`O6SEmed+j<+uWwHc=yGu^=CVzR9_kX8&F80~bxG!;CwKC#y3vEW6?va0n z5LcGZUt9ka#%28q@%jE`CFkeQoILL#QS+!@cdZ3i*@IdC_0o9aPBh;W+-04hcY+Jx zyfcehaUSB2As*RqG}fKHUKl>Qb}-M&`9n*SjBM-HGmld0a8qZjsJy8nzYB%cY=qQ^Mh6 zDhwY++_aBjKIJ3gSFfrqPe|kTZ8!95r(HnZI;DS$hCWvpj^{~Zmp-fH$_Bi45AJta zW8_D)Jh6(n_#yosI5ZD@+)kgC5|_VsfL{DplgCw}^)mQ;2t+*M><;+ro}~tYr|>>0 za}0yO%Jy+lLYj~3S)BDfJ8&KT+%ufG@|XyJQ(_GAY=##?{5m=m@w@$>qF;R_cUSUv zH*NqIRi1#0xMx+s|KfOT@fFy|#O@oT$zSI@1b-dgh4cJ<;{~KwSI#3IeLgGN<@}Fh zh}*<(!Ogl87?-`3G9UcqLGEx~oOe$12iB2H1FDCaR>GW^AkW9z6NRj3E__S4@SPjW2k#5T%{{K&%J zV_t0E5|PxeO`k`Tau8hJ+>7^eb9*x9xvdZC%EU%QkzUO`1Fnzp{E82u@R3dU-m7k3 zMLceBRrt88cOo8jGJRbXcsqyU)Vs2=f0i)Jm;7*GGU9K+_j&o~67#LSv5(2upDx>BM!` zKUlwVJ@jVRbI$XCeasuBg6kd`aG!Cft^qgCB6xq8nHWYs>c9lnk7&W`F6K12`R5mK zo0GX*R}lN8KE(G%_fBo-?XL&GgGRf_vn zZL1-l&XPmZN$)Ia4CgwNCT-{;&*V12^iaN=gkX6WtU zWa!1e->t;=_FqOkx;OiXF2{x^kpA32p2xZ^F^{rT{#nFbGZ)k2Z$%P9DBLh>I(+@7cgQs6)44BI0qAgTbB8yO2-E zKOEc%84s?*dEJ?cjhGkYzhBsy_eLO|z}(=n*gMvL9@`$g)Jx>SRL{WcadnX?-f8iu z6a}uk-obdyOtFf%ldUwzQ|mI<|E5zR&{y#1eh<9@7u$d6PTbA5iFvP!;3ike1_^20 z9)Ah0+eNbe^`NH2O&I@u#nx@j`od8)iK}}}kY~Bo6I>-1twLM|Rp$6V-a?$Z?9q5{ z;(rf=Ui1k<{+$6eu1U{?v91a zs9z_R^VT*msJOY^v1 zKSG}E)y(kMbMt{ai}!>go{3)IB4bVVal@y8w;B#^^Y=o(PP-gY#Kp}w@ONJ1u%6GIyj{T6*$v>%w4A6f&x$dhbrtst_m2bY)4wyg9(pM} zf#S)|e;*W|R)Gtz-P4Hc%A8N(u@T&cmI@{A49kG{g>Mz?!%n4A$g`SK1OD!+B*ZWG zbXY-pd6>C#xE;8Y_otP_-RHsZ(SD1rc&B|f**s^^Q-2PIkJ-!b(QCNe=yh)X`;Ix*#6W-UKXA36 z0phU(R`n(>A8>t|U)zGq?)67_Q=FHl!e13BcL|^G)n7qRlb8Q4qeJ-jx@O%ryyuD~ z{C7^_*$4CP%>5>W^zMw}@NvXE&hx0+qln9y9*@y}Xcx|9wfXz)@ZUU^<9zZT#w&aa zV7xYWXC7C%`dGiRUiiEOif7~_aQE>Z_K)=9eWTx>%-ik+cLuHPO8%<;Pl(5w>saqL zkDn$kmoJ6hq~1WkCf{4!OP$S2z=g*^DV>UtM|Q_H|X1)d}PQR&i|T5=vT#sFCZV4v<_SZ z??%6RU3Wv=9gx0`!UH%DaraO^&fXdDcbg6eH(@z>y&T^R?i82|u6KS4r+&qPq2O|E z5#(9?>y7)5Jb0b;b@oFq$Bphs{fc~Nz*U)>%o930 ziO92aWPJ?j^|g7-bFbleK7ANP+{_JPpG@1?=hMtd@Q-iHe9aMX5!_%paWQ-(xGDAv z-y4UlhL7kq3|#eav95LA8kk@4-9T{r_cU<#st?91hWfGp5Bwe>YE6T``=TrR2>$zy zjvW<2{o45S{dxKY#N+I|5`y?^tz(}>_nF5x9}B*l>qPvQ75%EXpfK?7k3w(Sr1!hD z1>d8_-2r#J!+E`g*BVKBwI(mtk=Yi3eZZ;zV5fH)ch7EPeeGlDSKj`&8|mF12f@|* zGtBQr`V)7OeYoF>GkASX%z^r`*XOXl5#JBpgt8j?bM3(8M*jPS?pz3ZQD+mlF8Uvz z%OSH$k=``Rh`QB@EjUikS^?f^To_(Q+Gh&tL62!Z75ZG&Ss&j2BI(q{(oyu3)e3{F zZlRaxv+;U>^(*S|`KzC9!@6*GMtnm)>REc;B9`&I7g<|}xT#Tv&rxy!n&|t zmBH2K;qcevGim78GIuiE#kv;j8V)3G|K|IKYOHXcim`cSdZ%%>;^&;87RReI7BNgYkF`dEP_4C2)TZ4OoPWT6Tun%Iu)t3s` z$E02jF8=(5^}o~~4FAWxZ@BO3fa`)$Ex=ds{~>5+4dgG<`N##_uT1@l zer3#tXwsWj1+X5|em{UXUEeS0SN)xSe&s8Qe(h?Dx^**jK)>$89UTAnx0fQG-Mcvc z3<0QHS^n^H^qYS-^V9r$RHxsFHN?&SBD@cb;@^|Y$w8Zl>)<5l#k7%F?{2mNtBH#O z7r@QT)m;DWv#y2zDqcs*x2p?XjyK`-w6FfhdGqVdzn$5%csj@h}+sD!Nr7kcj>c8 z^fdI84Y|8oU=WNIL|Y7#q|xagUlpUl4CdS;_g;&R_-=vBl|%t!Hf zO{=0j-qRt>U-?cWy-9umE(iPYyl0BXd#J8o5L{(Qf?hp3&G*&WoKHQlJkA~QdF!ME z^7(=DpvvDy{#E$z*#A|2zPHQW-$Cz$NAo?cL>T)IZh<_jU3HLu?b8(8X8*wa{8sFH z?#LY&myTG0`Lc(Gl&1Kdt@ohUAM^0K$Xj(Yad&MW=yg9TvvS(HWHUz!`a7uh&nX$Jaj@D*Gu_+CA_jD z9_w_NOx%2lhF%Tx;W)cAnhJd^zgLPW(co^E;;iqoo%PLga~&Q!{tM~l;eFultIb^h zJumhJUv>&yq{f1aF%A8Rt7BK$CrN|rZ%X?ScPeB--o&*Jm>2ihr()h|+#cHrE(b}h zYkTW=oC`{pg^!7Si+Ywn`rw{#+f)G8CI3X8orDU3V*>Ui9ejn~AD7SKcrtnLydT&{DSa*PG;e zwq>e-+ZzKBr}C~o74g*X0IHnpIa*#p3xQY~;#kY&>MhZV`Z9=C3tO5@T+M)0`4*@C=@ z(8r50-e+^bMGC(!h_$UFiOa}d;ClCu(7SOy%c0-M_fnCqE$YX7{nWvm{D<@Vo!a;W z`<~Nve>LJF^geu4%29B&y>wUNHiX|>&1L4!mkuGs%`mIC1%9KTEO5#{Rz5x4hvovPDYz}-`Poe@s8Jv_=exdjqj~l3FH&qi1Rj}BsP_pX9ERDB*zCoWF%elBNM;QEXVfWPQc z2|n(CcHkyO<9=cqHDiCve`l1NS0Qh9Fz;iwb|CWLoNwpvP4PJVf4OSqbZ|TVEAIL3 z)JiCGCJ%GluR5P!o$^g2 Tu0CGjeLv_h;&+33=!E|Rr!?L? literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/28.npy b/MP_Data/pose1/17/28.npy new file mode 100644 index 0000000000000000000000000000000000000000..304c26b9797c867f74a65530ff6594bbbeb3a887 GIT binary patch literal 13424 zcmeI3_kT{w+s8-mqAXSkXDy?%muKWehug~L``*q&)IiI=CHP@8;+%czhr&eu$%fyDUQ68aTQN1EP z>N_3{dV6_Pbv$~9M-GV$8Pp>@GBnKcW+4Nj!qRzEpOA>K^y`W>>(;GRwNh0l#`)j= z%gq>5X(?$w>7P!n8dvd|^6;+9^1a_*+H3wL^q&1R*B4yE=QcOAo7dmaF20erdxyi@VUI1?$1Z<&SPrl(jEQlBX7{I|KoMXmENDMlF@(1CVqpq3hSl+Y?F`!2XT;a&4fXGz=O)^_mbqoybuzWn_`ECP9Cz5jh}+jZ(}y1&I_#IIu-;(mVL zT)_QqA8zCR-^XBF#P&YMUds=~aliR@KHWd~37*qz-}?^w^CQmL`&r&y=udYTfpOzI z_R%kxpN6JvVK&E1fgX@)hj0?BY*x*Y1sW@qY3?@T9{(Lmze=_lxPHGV^pj>m7vW zW^G!&X_$V=MZo@U$4l8v|) z@t-r>c0O-E`K4Am5C7H2AJ{mY*MH)E(LF^WzExFTpuNFv)f>WnT;WHY&-ug7q~p|0d=5W9a&~M3n0$;lIzfi44rMc>iiexx!~Do zo_YB#v|Jz03?CiTg?!GxS#G)6_zrrLJOO%jZ#n#(r{};~ndzuows6!e_}BKuJmiTd zz~!*kQ9kKDBFF{3xiq{~);N?miRx#bqf!2d{$b#wF0NxZ*)RPl{sRJLft~w0d#7 z3OLL48@TDw8G8M;I{AwY;PT}0sa7v%*CPHlGwMaNcF?os#C7JW;Oe@^2&-r1^FXf} zHOIKHNH+zaxXXB6F}eed*GZ9RxtdrXb>ZCEf&A#bcTqRG`e2#ToGR%>p!_VxawL6TsP}E)N=0ahIpLHZ!nJfNY?=H zloqzE_>(BQd1=s6$f%5`GdRwl%g20{UPr-$IR8Pz07%y-M>S0$1&8yS?&8(04qbljUuc3PTz5Ph5ce-)p&D4&gJR}!d zZaL4thw{0|kMc04=~U>m-iHsn{uuQywgyqXoiyl|6>UIuHKEEJ+b{EfMe%gM2G08} zong5+vkY7W%%OT4@C)itj2j6q>%Ih6b3Pz;7(L|aGkqg zJoGiaNgw+KT;wQ>e5#b2#G7WLx+<~>^HlRQp&t-C@U|zF2*C-DgTo@O&ayj=& z@0UFwf7PNKtq;9NjJEyCfr0Q*`HH~bsg!B1cj$%N z*d|u*tUN;c8|!GlSbGWeZ~BFhe!vH+^H=BMte)j91TKH_MVu-}z)-}~iS{`aIsSr= zjbmNudG^!!-X8w?K~<`^mg6z6*`Cidz7JEuoeQ}=tPd}hhxGn2l+TOq9V}N_w;(@a zLO;s?%8>QeUq;1K{7<{#xpwFG`eQ+NtCtHlpgl-eoH3Q@*F-db_){dhS7b zwknSD{HA8KZ5JPgkk3_z^8D$CIk@lPBgC)jEu{H!xx;MhV@mA+*Uc{ze|BNImnOky_H*L*R$*U|6?0;p5s|OK*`I~MomQVQUUJhL(&yeq{U+zZ{^?Jtp?y?VO>10na~`1QKl8@LI2qb`E)9>%|7Y=dJ&yZg!4P) zd7%&XJGqDa1#1I;6IFS*jYs5&fxoHP16-wL9%;F*eGFVr*h~H`!e)Uh+Ari{;$q0# z@!-Giho1FVMEx#^hF;~!4z30zVqIdB0OPH}zuiVC%z+`av&!-KgK> z-*Fz`Pmkky&5H4uFFIkZ^hwt%w_N0tB^>J&TNd2b`Z&j%fve<^n0NerBF06Rrux+T zd{Ga&;>$>@H%DoG<|zVtc`6k3&o{YIJbxXde$U-P9rEI7@MrM>G~YW9M!j(z0Is(* z!#>C=$NX;N)a#BRevw!ic`*HwCs@wsRffOV=E6Sfc)EvJZbCnjzE3!~j_VL*xop}E zdVPE&{LPY)s1xo)gPXD^kWU@gCCO#=^QOSZslFNgisYNK;4}IYxCxsJt_Cd{X1TuF z9P!JAyTNtM7GBT?ZUq;627^0pg}PdQJ%QGL-8vt*eB>WuxjIpe;tAYIA*oN9PuHe^R)OQ|IL1a&Rfc!?bsd z<<9&P$b)lnKjM*vipSb`WaWY6vm}i6>(pb3RxdsdM!!7EC43)syryondR?dj^v+%h zAJKT*Aj^4RBKf4gr##m$w8Z+T8(q<_I+B9A<#*4{wR&^53yn*KUk$FiH&O7(D=2TT z8z6oWe|v@HVg;Q8d2Al|i0FEYEZ3VlLoYYhK|E?x#A3_Ue%enJ+X{a+e}5m#S#Meo z`Ja8^uNFO-@3P#h4B}_gTO$u5?{nl$4UDIFVuw-w;{y=ClOu-mIpZniA-GbY^*8s| zgX_yrz@38I>LQ-Sq2%9W$t`;=dOpT_qV^nwzZ%sJd6v7z%|?5kv(W2qInb^j=Zm&n z{J$KaHsPI;@_?WgWoHTc%0I6!PW9_{Viv!=g@O`cL#T# zoStI245RllW?E@*+30#J%XN`M)Nj8`#4oRH=1S*|m`i+K4sceZX=}^b;ojh~MorQW zI`yOVG5P($S$=x&WWHVP0e}Cph{yDOb;(|F#Wfjggk~ zqygk#jyPLhdbH(gI-MK&BhL)|PH;V|B=jcY0-fL7t3<XP z9LmDb4XK+qa1!0@r(X+{^vupBX9c4j)g88e*n!R(}9EY zmJ{cK|3L3OxSESRsM}u3aaqjIzKUboKHHJXZ^sPqc^E; z|0%Y@axOf`-}3_WJb2;|%f-uHAK9e3YAYv=tS=vC+d z%;y{BYi|~=$ThJoHON-`ruBD ziC7OsJ}>OQ@-=;5aK^0#R|Ntwe?@Nk{>};=BwkS99L2)wBhReXWN`K{CLH;hT#ClA zLSN!a476N?6~X$$3*JYbnO}}1Ja6vG_iZ~Xl|uE?&~vK2R&_n07j>#4e$lZz^2s~z zCw)?l3s$GA6?PgRGByvzX%FQ3>2}h0%F0}&Ap+Q zIcUC{v=Ho5j{gVhH}Nw3Ma9Uq=y&llaQ62DaNfK`5_rjH@HeB}QMW8Owyi5YPVp*` zo~vILtZ&Y$g{Xg%&;i_;wGLcud^*+Yo#k`E`9Gz=<-AikSIE(Oz~!y>j=yF28Q_gFTY?N*1aAg&t?q0|7W-EB7T0M=`yP~ z`-nSRnuD8#EtgyF1VvIFS}nNfWBdC!I02tJ67iU`n^Cv=*?H{arpN+tb!rxT#EEJ% zt&co0pLpSh)bHT3$b%>oOL1o-35+ zRYg!&&hsR2^HX2Sk9<24{iY~z?qlG?+pij9xjMIl`fd099Qs?8I@Es3ef`m|toIT5 zWLxvjv0Rn>6MDTP7+fsv5oCSj)2Yz2haCMn9u+W8MW5Bgo9#uvtV~&DeZ(=EM6`~n{*&p_zq zxSKSuSJXxx_`TlX&cEY`Z?B8KzbMohT%Gw!@s#g69`VFytj|l% zfa^Ouqbz5J##hZY#6v3JT&n9)ort^H;IBmRD67}Q4#HnIr|&Ofk?%0e`Lvr9=fM~{ z-?DZ%_sT{2ANbhzZ_{v2(A)NJv)AV1X3`I%{IEk~yTHHKU&QkqM?7*}yAaD2Zw4+_ zkH`Gdi}Rs=oCedt)uP7WVowVReYpVQIR&^9C7{=5){)PgkF>t|&#qzh!Z$POR&Vn| zoGP$1>WAm2d1S7RMLp<){oGe`!|I(Bs&ke-5c!mydZB*g3fk9n>z>G)IO3aVfEO zmm;2o8Q?P5hj^A9w2wDy53XEuz#Xqzw>qTbl@Q*2$C3 zd#MA!%_nctKikvT`k0+rz-8%GcwW`08`g8v?-}~#0sW~S)&?zxeh;mC{9iif@I?dX zARZU}oq!tXg?f|zJ(jxC{n@wS@Mq=QQvFvdIvhOjXYzk=0Qq!ojok{L#~JU<_&dZS zXD(@J_59s3_&5nukWZd1sK4c^Z41hqXEOO5+cV4hi0jm^QD4z7d$(z>)tlo5Fdt=& zqBJl5xq*J2pF6@|@1XZ)Z2chAEo;yQ+*G3X;fo zWqq7R|3a^7`faqwjBPva({61QDfej4wN6}Y7Z{=_(9M5e}&$(3nG2OU+9-VE`fec#}VMH_@VLe z=V{=)WgCpUGa+;n;we}R+^P8tdbQXW>lmBA3H~~!BK93o_t02Z`g5^KBf!P8tH{54 zcM$8pX;0^NF}?`tMwuZz?BA5|GX^~^Z8Po(efYDXKy!{a|wp7;L& zfA(y~G^^*gXdXGKcko>1Ou{46U*`>RvL$&+n7?<^bl0ZCDPKxJb!#K-Lk&N#t zd7BVlT{|9p!V>6pq1oW9qyxSFPI)%2yvT#dQWL*ln==1}-dVmL{ffa;dcx<%F>oo!}0d*w4?El(Tot|m?p#Y5W;t)P9-QS)LOlGN46^aa zhli;i3N1rCyv7F13tl=K`M1ALKK^S)Sv^~N4%~^GPWdTUy}I?6XY&z19e{nuyg7$; zSWFkhr;WzCq^IA<`wi#XBycq@6UJSCZW>|z^%76SqsF(Q@$y>{YyC~O^U&*`zf+yN zGIh0j(>)i}VF8AC*rT)vs~0UBlaKEKs-GgQdRp$x&kip8&!ar|ySgB@=$BpSf;joMhuDuyN-Vf^oxpRk&)sQUw)dode_BoPANd3IEN@mJezY&; zt=?m-w`w=-`%Z8y#>Kq!iL?EhVNaoF-Hst17PMYj&fn7cL50%y2z`1b>O^GCgMG)j z?}>4A4y3MuJ}c#u6%7S9A{^%gl}hV_s`G-*31$C|ccuHQx^&LxwbvqVeAoRyEEisM z{^TCV!R65Qvn+RJcSRnYr~cs1?q8Q!&I+^w=h<3QeHL8R%E$U7(f2#u=^3qigQ7}U zZd%`kUhg?d+`CK%%X!w)$b(r(oc9Zl1i#rFTx5C$z1*|_dE+G`D9?9KQQd~jpKJBb z96Fz~G>7UlH3{p9XxkZjCm|X0i(mAf4t=`{znK9wdN=BcCsCcUXlI=Ldv7N&2=hd~Zk%T8L#9=T za;1No?6qm0JkEUAa^9q2wB>ql0P%qzvHqLolgC1zdjK1IsQNr>kr z{e6I3LBFHvhMstDV}{ZHUlIRlM{zzcf&ES%q;ocpm{03Kqcp5b>~=iz&&syKbI7f~ zV875~w_?3c|GOi~TZPZ)SLjCIN?oA*6jd{khjLX(UxeN#o9!OtQ@9zpe2|m&wYEcN Gx&8-=h}bv) literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/29.npy b/MP_Data/pose1/17/29.npy new file mode 100644 index 0000000000000000000000000000000000000000..8779db392750a05a946db8549cfa7278dccff279 GIT binary patch literal 13424 zcmeI2_kYh<^vAC~YSY?!Q9{kwJJ(*73Sty-%@~P-X!I&*SsFulMVod+xd8{fR_x-)`OeWn&Xqq{pz~Aw$P| zG~*sEMl|uL$vs8{jSn3^cBj^%ico!;cT~EyV^|c`uV?Uj`Q9z z@L};O@K@76Ab-ODx7)5=?mvQdkrchvJj-tyRes%uBCx_13pSLoU3hQxcFdkJ0Pz;mu$t<@NhK35uf(^uxuILjS->e|Km zKk&Tym!n+b^EGcAdPCo-aNV@w1N}c%FyW zy^Qucx9&JU6CRCu;g_aa_g!2oj_1|lW6-|)({vx=|JyXWP&&FGI82&Z{l za~|JSR5Ie%7ZUKikW(JI=lI5>7{4z1Ir6L8t_w$h!$wfQL3_|H+q~cAxSVh}7N0RM zAGl9rd_TBPp6b0JDf83j%v%+_epfs%^N&J1I~H@qamx=?#^>Bqc-~%$%q}vy{_8r% zE#CEc(JJ%1S-1<&+b>jhk@=n1sEF@uUyrMIb)!?o+92T9+#);&D`Xdk|- zyy@9pJDczx-}%n27xDb6Gxrf^#f^AgH0iv-eV1`VAG>xj?hx|Edfh;~$vtPRYuAO6 z{&DT<-||$qhnu6mb&2|kNtxW#%}e##Hsd<6<7&Tu0{HwxSm&x> ze$1Eb9JJhVb1)lx%vL}6sJj_!9k*9rLeKx63%yR;2YWX(HETmlzldQO4kCHo|{N7!{@?hMICU}?IXAj$Ok>&N8AL=LY?W9MH8V<&j-ET z_BGARs$$x4IXIc}bDy7%i7D0YxF(jS>CTs>-K4{CQdId zZwJ>MI)UqJCE7V|zL-SZ*B9J&FV)8R*mAYORa6o3>De>Paki-t&CAdim`CyJ=bfRy zIS+a^;}@F8XII8LfBozPIIn#WTra-i@3^h@4fzNEP5RIMhB~f%8WV3{4gO|njhv2) zz1hI6?_$Jbf+Cfdb>GdaPK}&iR;)oj<2JyDEvPaH?PpsdZ#Eb0Yr3k( zTKEh*2yW`NgTF`~IM;DmjPhweJfd|JnllpqF}JDThOJRQ>S{XbO)mKtT(-GQ^|qL! z-gvpy;QZ8L(oeBehpod&fA1-{t~@Bt`I`c?F4V#ts2@=v2cK$A#f+QaDz*UX$86k7>$K<}#4m?oTr$U1tZP00D&=Q5-3Qd;*-gAM zee~NV)NfoBTJKf1M>&6;yASpIv=sbx+UrEb^|z>){-=jDX&oHEPoG-*UT?MJ~0CIW4|dq!TG3)L5N?a#a#As z-}Bs9=svCP0e?QbHr3lT53F~V{~dhn{>$L%)n3#O`;Z%Y**uE!e_wTW{`%%N`14o( z;Hu4mEzY0kol5#agE20C=F|eG=fCWtew!+AQKl5-Ax9T*voaJu_Gxfmrx&qO*rNG+Ai$FY|!v5 zpRVBg>Z{StUsk2{D@=L#n~u$vIj$D0fnI!C5_);DJo3OAodmbnvxBpsyVITClz$G+ zzI{UD-Rg}xx{-pF{r9v#8&1 zyHA79(^zoscNAPz$pyVB(-fQqH^F%IyrWpZym?pDgUHdD@)=NJrG?;RcmC%QaFy*> z%!{~v7<#p44LJ863B7upllWVMSs?WM@ zs2;8+qF)|Kc~;8@L(ikD<9t!;3L_qU<^=US`EH!^*FJQvu^OGQ-sQ2>Xz-A(=r{9y zBI_LNl?N%khZ zZBJud#snkJ#&N9s`$014&wY)g*^t?{+ zH*bDLJZwNWtQQ-};bZy+A|7*Z>}s_;NZ=^@NKz5qF{F?e0^?R)Lm67j25kEq`+4f;6F^U?1j zx*>5HzQfaTbzQ<=E?7?c)uFMW&RO8hKVN@6-91K)?UU-Fawy$4^GUzgBVh zm>b6_Z$B)GcU%uWMDe_e2iK!}EOlIjuYsQJU4wlG*ozpKExJxPE=OdLf3K}H-i$H>@%%TX;cw#>g6jhL$3R~w0ddPWeZfVmBXb;A zYoEhM)~rDKtsL(W@{42OyfgjYB=VH(nv|*Mo{8YBY;Ne)@Mb=a%i+VxXGR@xduzmn zBaW}`3@&_!lKxJtpX=9@uSj{El7@Q-dw6xD<6=(M`-s;~=w&-O3i?)skRNfkD(1zG z$`v!xOr0)=eYEvb4o7hfVvXXM4&-L48M}l!7mc1GPUS5q4}DHjzk_{-I)52J`-XV) z1e^`1J>B_;w8`jKJz0bCiZ#d9InK`gLjBHZfcod2yQVoGUh@dJdgDjyBBo)S<0A1O zxbRs+`lJ@f56`)mxPD2zPj~2TPpWfsNMXFT{_si8M-7<>y-lQh4y!#b0{&(sxVqnl ze4cKDUjLl+UbBJXwAI>1lD;JMd+zcruS{Q=>%s)^;$=~9rt>_Em)XTwrz$L({NH*a zpYqRt;+&qH_!^uaDoS-bphFwS)%2R+W@s&{+w~iLT|c@b)s@yBh?DK~MZeZmpmour z47gTdICn%p(zA>l(>(Q|{7h|wb3`S_;vUYb(eEK5_9Vr>KW(z}VaKxSD!m%{w5l57xT;Nh zwRAD&*WTJE9T!)x(LVP1P}HGF-MB1`IJe(JxA@Qbzv)Y!aUjudFCX!erwFbxLBdA-xDq#SnjyIJ{nveYKMF(7PHWC zlbZG3v~(Hrz#DpL=u3V<`58cex3KGvj&@uXJBxVuAEDR}rEG$FkW(gut3uJ>`c_}e zuZ?X5Zo6+H{ehpxIUk*qejku6UedlA6O402$3H>d#H5c{7rbQjRIg0E_`5wg`{o+P zEB)>9TT6Ob`h#bZizheLl^mTw z>m_)GaGagsl!udDz||K!8#r#NwgtE0`N=>d@^h(#S&QE$X zj^2N5h8MW>i-BIhUJf4-Ty!4vv9~GyVf1^Zncr}=<1G0uI4c+kJ!@7D@!0y!z}1*p zm={~T{75%06Fz|W($I@i3Fw!n$S~J#US1-fu-O#n3GWE>cQz+{)X((yGMm3ytmCY= z7x|~q{YSjGKF@JkIut(qd?b8Ca}V;bbA|Z8PZ2+RvKaRxz~!ClGaR>7R)FheTgm5r_6WqIGswSI9qhx>=kL*8&S$14xQVCVliAa5Yv6N{ zxXz&W4zs`STE}%vDCMX8iYs{jo2fJ0C%-iwKK8#os9QEN?--{yHc@S}v;jfO|yaxXrcTsO9r84<9nFr1Sy|wdEp>K)j6^KXZHMj?w zd4hcUbf-A`ZKC(Az?tBDN6kylpGWT0_~i6=7F{VFdft8cH0RIKgW+$YhNDhQbj@*2 zZ{y3u$1YfaJloUBVUC+B+3&kgT_OqRGEe_(m;26s2#1eKeTVU?W%V##`6JbX9^4Y^ zS1t>kpX8n|luF}TyAS@Ne1%}=V|$+^pEtX}b^b>E!MpWAJZAe%tatubTr~PUy$pI0 zd<*^R{*_Tzq7K!GX%c|(>R~6NT)(W@TJqm=7e1oxpUQFD^C0oG^b7FqcW1o&G)u># zUoq=HbzP4Ui0sLkN~;vw|QMjT!3xGYHP z$fk_Oc;$GF`Vkjrz~7V%1!sN>W;%a1YYVu1ISpLxdy4fUqsCA?yRv>S?c{^|50AVG zE`B%wy&ke>IQo6?8@NvY6P%xFIspEAj+6eMjihh++Sln>hy*tU{-8W}JBV{cm7WjI z?rnhHK0h1ke00traNb}q`ILRB99LsHlm5pO)bGM|Sl7B6)uB8%3imW!YGfGnRYpT^ zGOp3OKKdxmaZzU&@hAmuL((ws>}`K=(Z~~Ag_nU|pXmv1Z@;HF-{qeUpW0L>?AjmT z=J%)L9oPQrp;t5SQ2et8g*$Gh>>>X@bHZPgS~SUVHp>v#^}#g@Lj0`OEpR=23f7Cf zdNc(3<3(v5tzCfiZn~R2UYR!H)1B0B+hgcgR5;Mn>1Cfo;BxbC6u<8^Klt=*PyQKm zXnp;e9rdH{&ILESI)aPK%@y>0x`OjIBZzw!gP!Ngsw?vz`O-L+UM`+Hbgs#}Gf)rWZ4CAkKEDC*;aujaUEssE?tqVZ=8t`t&7*!vuYxUwr#P>eoBi-*J_C4n8`F-s9xS zEx133n&~v&=|zwS?zb29ren^7i^g@SPVN_oc5$j($>6#&{hggRFW=JnGv8)X#Y`<|D^b5pT@n&CN-jQJ?##zC;Ym^>FxGlaJly*@~JzNq&RcXzRfcl zBOZAnAp-I2p!+0iSexQ6)+5q!nKYR4GqpN6+j9hYJH8zHW%VM7 z?d>c7#eJu3avozL)*zo06$Jq~qpl1u7WR2G=3cOi8aFa&+o26x42$?*vJv1jAS z|9op&zkzqBI=#)Yg7p8)C+>d=dU=G#tNtl~{P2WT0ZuO?=swApZliuYVi2iCP6GnLK-kE)21 zcm5CcY}IkZFFMyC{`frd%**DZb9^D)$3#prxT?4{%=wF-H$!h9EvNXGd-ZYg=8k9?ILT9EeBtxHQh`S*Nz(ED!zv89w3ZV8`wC+{C|HhCK5p4Qe{&vwO^nFi><#S9y8{kc6z;e0l1E*_Xt(y0_udTf;e}~ zz-E|7n>TF}{O8jBO>Q0uE@!mDd$cxL_vc>EF<-n`aonHPt{{w;7ukt*$Ku{Cb>n4e zbpK?6{=Ur92E;pVAN3=B&YsY#hkaI&z8mp(-BCZ{ZLYR19&s*f-5q;^eNRN>s^|24 z&pqf(`!nD?q9p#FWxxHL^7igDxbZm=?0n2rx(}!-FTmA|lQ>`GgK?C%ZuGm89@~DQ z)AMM$pQ}BU>0Wey2KE#69leLLIy<@vufg@po6wtwQj~Gk8 zTk3DZa6ggN+JVa!4KZHzy3{1E%s6d9+Q;4t!Ixcc#V12PVEwLWh1C;`OdT*>R`^igi^&9=YSg!l{o%2z- zN76c6K9$b3kTP^GKmUdLZL$UDf+*%U8T}>|fsamGjs0KVYMJ1;%uoMcoGnkqzHR2_ zCI8K(XkYk|?$7M^zxu+bO&xH%b`gB+qzvV_{dz38_^S|n^qxYvcgaS-f$M{*G>(@e zF)n_A_Dw!A0`YVI2Jq35%V=G-DUSH{+c=!#YUL$xGjSRGc~qT5#8a{>^3U2wVt?QP z8*v|y0b#W7KYIm#6-NKxQu%+l?B((oGoQ}!fs>%;n_qy-oS)Er;QJidPt>vM@R9X* LqhEWUFHZU&HKN~* literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/3.npy b/MP_Data/pose1/17/3.npy new file mode 100644 index 0000000000000000000000000000000000000000..041bca063c38306cfd5e98c2ade23dffcebf48ae GIT binary patch literal 13424 zcmeI2XMB!H*!D-+-4LsMMiQ z7a=;!=%TFNc9kb{ocZ#8eZM}BFZb{M&v6}d&N=6l>yB8z4lP@E$-qKbcXY`pOy%m;tCTNWo=5Qi z-+x&dW2Q{8yFTvoP=PD%Q|^3pD=F>Mp8E34eYcS-(XMm!yXd})_s=cb1Jm1^etXYx z_3c2k+e**SE_+iu%hHe9JB~*?AN9}w(=NvLxC7s@+sNOu7Wt1$f4pi)V1rm@BhJP-a3a|yD41o zk^3&1UAqA8zYFcguh1peu9B8L0dJNKoaH?7+I?3U{V;wR|Km0HT@3ya&&zs zee4K)c4$V=dsqJCzO!N1*Co03F)5YYcN1|4&x`MWLA&0Vv=_W~`ybt>46BCc)q?&R zMcQ}v{1E0_t(^3-UfNgLurlSX=dg?-?Yp^B^`?7H+-!Z;wVUcg@H{{LETc&K&f|)r zKW56^M*GvMc%H{SN4qF7oW|pEEE(-xeIFo>67w^;=S`(AOW;4r^O0+}H;U5wnYJJ8 z>h;D6NokxX=1Fz!Vt-lG1%KxKH++iKjdkt%Y+i7+`{Px|mG@56t@?&IAGHGYp>lPf zOVrOASE%t2$$2;FG)%T(rt^&L>T# zD~%6_zF-B!BkD{?9#}I!j7!c>=Z%gK5Bx9_`e)^!H>uab)!VyM9M{DwgR`IVqYktg zJQ=*`&)_PqGq?#Dia2GCTI6$W9k{KZI^F5Hsts;$Fw_eV91Fe3NZeeVO8n})FsB#Q z@{zu5OUw()omH!j|!lvu=%PeSThz{IJ}S+9wUG)6bA+Hm@Z1Q@eAo zaC$XqFSw4WPy6gYzP~umD@T+5tsl7lvw;_UX4VFmyF9?fonyltXRiw(9u@E$^T?im zZtOUJxrqE%?ZZ5Zs^f+_fA!%!xY)jx=J&Tp{Tyda`h(j)?ttr%R{@So-$vlP9f!Y~ z=3muuaWgx(X)%-HKa_EtPa5a-LJ^OxE3vNBiw%CzZ>R~q?6L$t;=2u_oL*FKj=ZVG zBj97F?p*G;9CMg>_PXG*Ud3sS>yMOA)#3r_U$3e+#`&{1kI*mc?SuNU#|p$cuAY9N z{OqB+(p5rGZ|e4Xa4|QQ>Tq4fSxztBOrZGlKPCR60P0Pulf=tpKwZhPuckS@ZMquV zJSq;(zAqN#IA84xuJXMD*9WHchJUYA(tBn>{qP#A==|z*jr1*oF)nucPpoUc`T_F5 z3hl(as25AGyM2alX#_prSDen_uRS81zx+Oc_|VZn)k3*v=59OiT#fa=HwGzhw7?(&QRyW zuSFn!zC852Puh1;Iw;P4@@~B-&JJEwZv{5fx<333xcDoXeDY-a+4;y>dBAP4P~?+; z9M{otv1vQ}ZKyxEnd-UT`K$Fap*Puo#kfp~YnWeNY(Mq8If8iWBD5a{cLZmJhrvfZ zNR;qjGZ&;16!9?Z&>!BOdpH{=y$r4sP)jNOil(d!gfE#|G$SOkUEnv*R7t!&AV`O9rk3hE0OL z_Gjw1%s&{HX}<&Kjwt??e3Dk+To5Ohg+qVxKXBb5C%7tEgZ6<^pU9`)cKFM8^>IGR z4a7y;UKCH=wRG;Rqkj37GU>bz>R+r|10UhnfcUkq5x=~>9Ng^aO8#S-V%?cd@zihN zWYRw`G!b!5pF#X~5;%*$83~@PF}N*KjpngY1okVtr!DHiJn}_8)&0erd|aL<)BQx2 z83fMFk2vr2ml*iya=%c&y;fqqn~;gbPf(m}&7{$;Ut5LpZ7H}5YzW5HB8lpMP$}$hD&lM~{KvP2Ud3gH zk9`}5`+!cqO!Z%SG_99=#c+Pv(FNdR;`(C0k|pE1a`x@CU$lP z*M;ig926Bo0(@NFR;3_*K7k_-B600R$Jy-a@HdtBP)~IduP&$Bv9Z zzm?llzbRXwx4(>ijC=OuKfu-S!4&`A`M<)y>em!cVpj6+de7f+7VQnr>aRzf=HD@c z9JeJB!DYY+jEhI)!THWpH&Z?PGt9fb|8jjFaDSj?zk=ak@`K_26}b; z%`)dN8g&3y=MN$t{#6v#ozDIfeAuo&h{tBVo9KMZemd9KrzYU+N%bK3Wc>v`;?(yP zPl*K)j@$F4kO!8y9r4JS68pKWM*AW6?o0XiPKkGVGc1Jq{qH2+pG~8mHoAUo*(&g7 zOUJ^8jg21cxSYHKTt~mB_=9pSMZcFM%}e=Xs9XMR$2g~Ff!!&dP;cDd#5b8W_^^KH zmk+Cq_)Y)l6^@H19^|t$GknCvHH*L>^`bZ@mq9!_|Nh0`4e30!g*U@r)eh?GxDH}> z-KQxy1pYSe+`Oc;?`--{h~Knsi9CqYbH;-AmTf1-5Ebyd1so#w=DW9WS#-m@m33@hk74`w!YRsghG#^{J8S=o_eT1H` zzKL}tzrOi6s$x<8!l+#<>O57yxN%?IK+_O^9gObZ5AKNY8b zuVyRlIR8NVr^(bA-1gtn)%lwVa0@7b9py7Z#;+2@jP@6s$2C@SE_Pwtkc`S&r^O*b%37L?uGM(pFc-F zr>-F$Zp)I-Q+i)x2WVZ$JL6(pJUWKXBYr#-^JN>fj&$4}yg>d}&VuV#=XxW~B41%# zqSF$r7ZZ74mD9_nKT^My+he>Yx@>R9jhzdw)}2M2^NLsK9Ng0!c~B1zQ=O!)?d$yQ zsSxPd_NNrj@ud@-4|_71>bc)Sj92Q4E8riHO!{U&Q~kf~HqrTrdndrnvYy1(--vdc z)jJHXHZBL}zW0zHlVHF_;%m|eXQlg0hYjFt?>LN?_5E&)^U>3yz;z1&z4Wgc?l`YD zlKeaPfD8Xg(A$o5uQo@#z)fUL?4M#|3FswD#(hSx3!@OHM``3)4~oWk#hcI&AJ^}c zsnl=P%9PKx`=X)$&>fs*&V~HzXx}=H+bOlcdFFCdhd+3CbUvb64C!~2Ks@Y%C;C-~ z%c5UXo9>_bYmb>u&o-ss$ChP=k8S3Q`vcoU-1g2v^VR+SK*Y254g6KaO^P%3)5VUP z+YzRH8 zMdyy)nbO?(*!3%sH}&;j&@-Q~k&d(WAHn(J!I(!mXAw>Dp2&1*fa5YX{k^q)Fu3ep3i%WKZlr28t*QWx{0i&=2}K7AhB3|NAG_a7jio9XYr zd#Vz@L;IWYTtMsYn|gQ;HLqxY;Jz)0&nmji`RL5gsNVqt!EMf5@!*%z-xCK#V_w*O z+21Ek&x#L#-h5gME{YvQ-n5JWXMGNlzSmN$Uont=U$VvMUTX7h8036ZVcI9z%%0H8 zU$WqSVyDpG*VN7Qd3^tHfs043sCLgiXLnzrdW*b19X>niVZUO$3gTx;wUAGp?P zCBWI93W&!%tO9PIHUSr))z9E2{}XW2X8l^nWy(5m=0*2CTURZFPw}^ipIt12{Y1VhjQw0J@duaR zWyL-wq5@I>>Q#4ev0xLpY8pE|$@yPi0&WJB0B6bVaIfHV4}t4@UBLP2LlI6dE=&Yx z`_~eGS!oh{nyn_EcN>Y<%pC@OsVp?!<5g)NzP^U;!z=4T&$FZ=e%7Vxa`^P5x-y6S zz;(kK3Gj&>1D~|tnJ)OG#liYip6ot#LIlOrXE*i@9kH;#)3etJre$APk)b>Z!G0Ma5e6w z`~lU8Xgdn|kv?9dlhS--?hWu)2hx3}UK$JDj_Q!#qQ7&Q>T@t&T|NZ;nvYr0uQ}EO z>rNKg1|NBPAm#b-l+Mma9GwTf^6iLzdB@3fT%799%@luyGw>0O+G@vHb6Q6tCXmK^ zc-buH!-mX;zkV>1@*fe2aft)JgY&b|;4<_o)(gKm65MPniae{tPjqkZaT{C|-v_;! z9ni=1t81iyvli)pk6Y>4!}Tl08RBIUq1TfecW`B1i z_TXaX%K)D=u6NP7W>Tl39z?=N>?gW@UFgls@N-V5y5){_pEi3*aOOQD1<%jDj`hn9 z<^Z?*|D<*CVeZTQX?mVDJ#Smn-$Ug}ucS0CZqVOzWmhk(FXNvJbuMz%!MJpXF!-A* zd6d)ZQMCWFe5q$$zb51b?c1B^zQOvZ|4zcHOhJ3hcEqE;B;%arU8l!8&KuA=HE()@ zi+m@;pwB&s^cQldxS#j!%O9T%0lgWFyS;C$9y+!Oeq5AZjwS5v>9Gq8{G2OGil z52L{uzl8Hq-UtPkL+S6-Hv7;f&fj?Dq&V}g$9UyIZ=B=y%4_s1XN{%0&3kT%)2jg5 z_jt9s$b&AC5(}T-Dw0o1U8>J3LKnxINGrKDt04*1L*jSQlpHMfmW{i?=!- z+1?L&bND0WKkh(d_yn#8XTQf$9p*fR_ZsWpj`CT7{yuKJ^3Op${i$D-_iO0cr_piF z#}>#(=i0<_h*S4}hki|)^nK%eDfFw)97WyA8C}t@ZoU)o^C#=*z3k{Nny&#Nv=4N; zxYYH_7w@F`DqS4=n^+pM%5nR?2>MmeW8fnag4R1O+dPKe$f;QGJjV|!9XF#cgUj$F z)IYob1wLk>2e>HK)#CY=$H$U?X^L}04~)wc3YwRc<|F28CEkBO`c<`?_i@~Oxd0!w z@+-=-M^@Y)O!Ke7`OJdg?BHY6n`YPG!$N9OesVV&=laz-Zh;H+n)a*NLxl5JHQvET zT{wjNn@ZbJ=WH9Dr+oM&#IH~19PfP00oqSQmUiG~*@Ae-#Z5Yw`Mr$be0x^yI6uA# z{hF0Nh{udt8}7IqItg6Y{~6qRc}IYE9Yk^F^a2-Ila%B71)!yHQe&t>-oICb#tMN%L&WRJi zP2Jnbzqm3R_YG0M2k~l!p=YI=<6Kag$HAZVXpg#;ry5fJ%Qhz7it=w?Y{dJKIlP1V z&AbBhA|~I=>EgFJ?~?w0DXa^6dnU+~8p1nmP z9TypwP#&^02A3;5qa5cYf1@}v#DTNXZz-RZDbGyM-;2$v{ezv}1RW%w51VQICQp-& zOMVVq)L#y+#=Pv|xcbhLKGP)9uie=dd=|Z*ntd6-?W`U(e4PKLJ;ikeqoXb{Khrew}`>NIT`@p9!-N#sk>&UixeXt7t$Dc9+wd#k{QEf64?k0?n)7Er(C_>zr7h-H zB<#gLEW_xYsoO?jUy>tY@%x6nMDwLCQ@xotU4!61s}AB3B|BkW_=N@IoWE{L`;u)& z{|`q5tnTRaB3CZxc~K9WX1i&+6d@P z_+fDK@(S%6+v)cQ5#9y$$-a3L==wEZO`-e*rC?nAK?ckV`*#3*RMBmS-}vR5;rf*Y ztAfkV!IZc2-cgS0s@=dv$P}uR@u%_rsN23G9(j%GA^w(zPl5TwKSe+<3cW#{$i2Df z+?mh}^QgnJ;dcOCJbk|{Fce(w*%jz~L?${1_31a5FZC1szXG{wG{$9$Y@z*R%cl8B zF8(s{;OfI!aOGEcw&Ng4pgMp=wkMPCLtK6{5d&ZFo)U>0Sd`mEL%=a)Gh2ECl{H}Tu= z;+)>@_>S_E{4>UD4_?B4qDx8WS%ZC8U;5H3%$FMB1+KrM`-uwon&^DQn z$~LDr+2*2O(Tv{5?YrrCA7?w8f}7w{bnYKnfOThc(Ecwf9mc%qS&K0*>~nqc`9!}% z3cq%Xliavkb)#`5T!)@LZL$cw#AI+;gZ3p8x|H6(X4C!L-l6-Iy;BkX;#=C6jJF@H zuK^u#Ke12gzGt)4#&~({4dKW`InuM`L%?M~WG}~M`|{}59-c|O^cuS7KdFv+v1J!y zer@~O)1Y725?tO2B7XQGc$(G!{rg{-0To;wb)YWL`-)9Y4RQaE#V%+}^>pK}+o-=i zQ^Jy5eoE5+mlaF>Z#gc`ypM3)ETMWbqdL<5|EYVF<2F-v^8d9k_H&!}D1OHv1m^^&k2MdVj_ zFJ=?Uk$&MG_{-_@#yTG(+oiZqmRcA7^7B@#BfjVHIkZnb2Y)f6$w=of+i7s-KOg@3 zQ16M3>xLEKBTF{Lc=fNUJ)WOcnS7e~;#||idJcDbk#zQ~Ygd=A<9rc`;bR?_Ll%SU z-)<%WARe1PNBOV6~801ks|0RWeGnh@J?N7&T<|9ziaG2%@YWC4==_ zOZ47H^lq`Dt|xPx`3s)6&*RPgxxaH<$9c}oIps=XQTwj#I`qiGLfOPh0|LkNA6=;- zujDnbekBiHY2b*_V@LNL9x!6`fI!Pz^c^-PFoTa7+;?PP#`ns#e)+}IqlyQQ;QzP( z@-oJBn+gxS?Pu#x*X*abUh-Z_#wSbt{@Q+5n>M0dCbYa_zsvVEjcpfwsaHjhKQ*puZdbaBVfuIE#`e*YQq^_-#TpDFd_y!B^;GuwYlyJw$M?zOMm zPt(^qYTM;hYB&48qW^4HwOh7bCzZWz+xfA~_QyWRpU+ID_U?Ob*mkuq)8FmIQ~R7* zIRifC;Oqa{cAf7(jIVxo_>OJY=k}ppzYCmZ+vU8>cHc%XZM$>n>nnU__dRCYolc#f z;rq<}m+hxsu@&tmA?C7e7yfr%SS}OufvcZSytm)Yhab>?UcKf``<-uZi04(G>4-0< zg}t%QI}@@YKUQ`dp4Yc}ez1D+w816YuEzM%^TV55v|RnV0ploKH@~&*GG-~BlM6c_ ze|e$-o>#eBUa{?ZjVJW_*}+TpdH!Lb!Do@Yc%EmwLU9-TfqsbOE&tkfQ7YnseO?5& zz`UDxfmbYdvL=yV>m=ka*B!?5;^6Ej@V&SI{TE5T+wJo#yyR#+*KGviie_`su6Nho zVL6K~6KX$2h1&FdDc5h{J?m^v$>2_%f2-T?Iye!}o2Ct@J^#ZL%N;hUJU)X;)AJL0 zW))V?YGA%urzvlnWPBHIiz06s(I4$Xm!y1F<-B0q^=<#m_-SaD^<(c^U$!Ynnr(L? ziqrFDsGSGDqkM`#K4;rmy4z#u@6667?Dqz#OYpr|&u6w>KFx`7)JZ$h?yPkC-L}hl zBc3Aux~f$Fx0>9x+;nkUl#=nO%NGZCZhpQ2{mcDpEN5QDsEz{GqCPb1vJhPTjdkKo z&53o!T?1n+=g$g4&vX3-AC>fSE%XnwQrvGdp=YDx;qP?2OFp&dW4$Y}WdVFb{Ll|J zTZ218SB>1#9scgF4`{kG<_;lHLaxM))l^&o9QUx`Hh`!K@W`mYZ|KD^HWtSjeuEn)Ti@A~8)vM|T z-r3g_TpnYnE7|B|U-+wM;7(L7)Q>oth;^#E+yZA8MpD17q|&rI4ctxhxMXVs z>%+6OfL`1wkM(X=EyKDKlLmmRyv3+KuasMC^oxT9QQ*R6WMdLfDe^GWM)kE?d)VVy+YMRxXyd0eU+7Nj7vq=Nh>`xkhCpZB9;#Paal?QHMeB`fb(6b|ZW+LvBlQjN8 z65JfTg}O3<{Yam4Kkcjk)gNf}JpB;j>dob#=d-F!@Xp{OY$f!3_9xsgc&iqKOZ^1Fo9KWB=!R z8Mr!8gvRYrohYl99&zA&WhjmR_gBz64FXAjXAJcGup9d2be;&Vk1KF>>gIUFZ8e7U zUY)?r=F`EJvsqifvwdW8Su%@u+QrP z|Ds>|=}0<9Hl{;wYHr8+)z?2GAII|>IL}fJ+{oF{)`xHVkK+0srTjl{!nvb-zLWk? zFt{949(vP};;IUDz{U3mQPxK{-2}a<-yWO=tyY%HuJPnwcOW?bcw>s?;?{EVpSqYh zi^qBtY96?9PX*VF`a>_hT9UqU1DeO#bbr?4x=>veYKr-iXJ>Eo&hU3G)BS|c8Vb(- zh^zljLH&!LD`9^V?HiA={?4^d6t{Lk_^2PY zVP2d%*QvkdCeV6mogQxctHzapj~N_@{ff7U3_za$bOmSQ#$es4Uez$3{O)M@^Aumy zgSf6nTfOr1C0?g5^g5;=-E$Jlfvb(j5m)4Q#Xexd-%mz@PwjN%&-zwfZR4u3biSzTsi<4#y?n9Nn^Jv{51Zj-?02!Hk^>(#nEKn- zlg6jS*m%qNwY<>lr@6>y{l!>3x3C}dyh~-|qmOo9X}O9Wj(nVoyWp?S$f1_&6qI}ZR5LX1OZD+Zu zw~u&%`!voS%e%p62IV8Z#nXN@^p6nmk*L+8;u27eXVew@{t z75CvIJW`Rrx?iTemrnPDFt5%j*5|DQF4+;5xS(`H$)#ELUCq z!HriBaCU7%SL<)KRYN|eJH2-}v+E^T&OGUT#K=pe*MAPMT+J_q@ew`UF)zH)oB7t? zsWS@s^L~eDzH&~ZbA0Pua5J9HHEqHdSv}8k1zaZiLvKpbdBlcX1lO&uqhI>3E%0HU zhmb!z(HQe6me<05;+!fBy=XcSTrH_I)#fP&Uj^sguF$*>Pw8Xh8n;|DZcpRryy$jq zz15qA<)Jr6XkOUJx6*RmVJW!Gb`EvU9)HIpceXTz$Oz&U%#6QI2 z;-^_3?iWqJG6`0Hpv_3!>{8hrdy!TFy-;QCSjD9hEz|AEUFTfxPn z0E`b`a|GPTtkkdJA*2u53NBjw4lZ{eodBOdXqQ5w6H$xS_9(kXdmO>4t2CXtQ*~bSo>;}r+4%?tLITwDefj0a9O$8 zJm_6Xud8K+zxnxZ+)Gt1dQTCbieSF@^F4#CkDT%Wadnp4H1DMft+JfOC4;j{Bf<3) z5A2gpk>|vdy}(U+sby9#-i3pU0@twrJ6>NZR?8R$)o5cr$U-@s++NUGbEWw=lBrBjHXdJb-QKlnJ}HvHMP2~e z?gK7oc;g)5Bd+5f&dmk*IOk6wAGYvTgw0=0uL!+p^D}%{;QdjSo79WY^Eb;dzv8Y( z56ju}hge_yb|2KC2u;CxD%MYhUL_oW-t1o(Y4y(h{j~43e?WB`_jHZr`pRAC#p(g% zbEn;ilnici(7G@!eK3#0=}7O1J62GCi_^~&WaSgFRXr=m`n-(2KrN{52W`n4v)$Gsi# zH4eDmUUn>a^RnQ&*b8u8|9W@ind=+vONG+0F4)h{CwtrceLI57&gaoz6SHcq<-B@r z_^8LHQ0M%QCzuy;e*`#h_?*_u+*=)?m-|T{d7AXghPJYC#knuw=ItC>FDFymSgxm6 zqj^6|_cu1)X=b^6>j!TB$w_*)4)wy)`119$fQhk0Qx%`h*<^&YrB>PiyGbURrb<=xxVg!Vu_L zYy!9ptlAFwq(p!#pCjNrA`AGd;%bf+)?Zhv`w;x>Wz>(7+h#*QP(Uwk)3$A(>oCsdHAbb=L0~deRn_@Xz)C!#aLgxiL^9A<-wQv%A zcy;QpGq@T2RT%^BeEo^?&v|8p^>MmwqI^2n1eXQ!46$7Fr{5E@Q5;;HSv&zeq&D>{ zv>EY=W2ahfI){Pl7D33|-jqG~WAopXSsr_ayi@VQc1Fy`1|W z`S?8sH?=k;g6H2%eAjz$^={+}%avz3<^S3Zb;~Qpw@k_4V*CK=Z)$$p$FjAfd&}NF z;Bw$D+V?iJ#QV5j7Dv3DJGh?9aIX+9$H7&OUc_HK4u^ka6u7yP1g>&lnr^w-k^rtB z{6YFX)v;fhoq3Tzi?4@$SnpULjQm}_DenG9l>gznYpf5`#I=80aOLN<7IE)|!-tPf zylkImt!_uzPni%2A6|G5>Q=7%X$bU*>%c|dW$=;TuHpTZ^;t`NQ!{WgCm#E`@SF*M zr`bd74{X9$)Ei$^3wl*P8r*F2bgaLVkPUj1qb>4Lvw8(sZqj^-cjyf+Thi}$ob7YL zb-33>o42}HU=2R^kw0_Ig87wxHKth~*)$w+b@stD?+YSFTRlsz1Rqv)IgS6ypmCPV z^z4t&{_9Dc%dA+v9riolJ(c>Koqqr2WZjMas%lgZ`b{IOUmj8gCm(sX>?ufWLy!S%*EZz<-T~5({HL0;bXzkeCwmjFM_|k z9R@D{t%81uCVMH*)6w8O?|)b?I(8i8^Dy)04_lwny*=nYxHDZt?~J*DeVA>$1a7LP zkx$Nj{x&YFdXD@?z&8(iH#LH-^4g3CsEz|Gl1sDIU({+@&9xk35V{xr(^tHV2>XN{iI z_`LWn)N)x`gKJ%g^0^r{-g4gaH0c$^l}qX(fBoSxI6pE2>&1A?7!Cc`B3MUa`zqQ8 z?myV+o#7*f9)Mo9pz)F3t^KTC=l_d%v5Uw@HCg?eq`gh!}?PG%So?V zftx#vC&4GpA6y?E0It^Gr1jW(54cnAJN7pnlikJYS&IUwTfMOZ@>K2>1HCga??mUU z*&T&?kbUU)V)}&_^x}CK))A|H1of}pR|MxBe!pm+7q8l3{jvguNFRTM)0|FSg+z>fGs@$%l-Czu94>jMcvU(X$`<_UxPvh`-?;^_`x0>)V zFKGW~ts2LrWN`L3ofm9wSMnJcf%T=ne}_N2dLBMbzLkGiA5+hd@`?C_eALS)t*wuF zy9HeAUqIuzs0YqvlcfuM#FD*~&x!8~;FD__>7%of{-;Tckx#|qSdUI+cdQF}G51cZ zXALCfpI9DoP1&)iTlr5<;=k@f{-*BUSnDHe@2C7(2<(IBRZU(Ra9C{}p3hQ0J>afmo)!-Vq{GN>Z=Q-cQhi|9*j|uK&td195 zggn)dD#(*P?Mdr>`LLxa8SU%>onMac0pzcY~Uucy<@p*yq)?xtP%3jZQUkX?i7sz zm$z$zE6@0F%S|OZ*PMA(!JSvZ3i{7`DQ@;$REIwliG{u-{aqMezX4qJYCqm`S#vAJ z^&d|96*WUG*RyGSoVaeJ@B9z+Vs0MzXZ(De^arX;wtBwK9bEQT;Nq0m49i8+XOvHl z0NVG8%-LqSlI4kar+d4}r)PpsOs4+!tBG^RNz5}j#rpeE{$l4Hs{dMZaNiJbGVf`% zN<*)PmBqQhD=YXrm%E^DWw8^>;D5d)xE@L4FI@)Cx7^9MA8~oq2F#26OZZsM{2q}0 zSOu&L(Pq#V%Vmim==I2dsJ~k$M!@GMx}UR=OKHFQ+!pzW4q3@3eHHwLUpl>)T_}rn zWQx8;zr>|`o2-vIOZ%-l{StL(KKe(dWN@B^?pJC&{a)L7KW4J!x)Hsns8Sth{Z8sS z6?{n|@)VO-gUdBFp=U!g$2p_~t?Rd*L#>{L(tXmT(0dR!S$ZRGlZ)^%v)3UXHvd2m z=$qXGXRBs{^Cc18ppT;WQ*k0I>90I*=AB{h>`ulwh<)^Ti^AIl`y0RF2_OE)N2>EJ z!N^~=sYm?d1&p&9mCzqP^}15rhS!LPZVR( z^~1VgH42lDx(grux>~r^>p@ii;!O<3hviN1wf_8NN$5?M4wzs4DUJ5wGsD1n{mIyu z9Gx%+ai3+*SIJy7@AZ;!j_Zewkq`6hfq7v=R%87teG5L~YfkKYy3n&O)`y=d487iz zkLGJb|1mZnd9*FK>Yqyc(q1PJdA_Cl2|KeIK2DAL6)k6FBcT_wkAd^Q{jq+vrt?VV z?TtL0*<%OUxO#Fl@{wgSe~vUU8|H<11W`U!c2T`G%#Qnm+*t>lC50eQKBd`o zxvDsb=A~2za519TYRkoz9^g8<3+ji>DAU&4>Wk3*-0b-m`<|KWTFP=c^%eB|{RMFO z&b^D}EVT;ys~=wk=e_e`ew~7JA81=l;j)A`b10*y}r`hAeNk+#_SXr~y)N8GH5 z{)%XW{lsVqJ*&76>x(&evHuv?THua5tvhkB_;lpIJ~z>F-ka{veD^o_ z@bmFw5%&n)$N1|T#9Ln)VY%_7bt+rZ?~%=-sY5K6LAhxjhu49>`Q#C1y2 z`?x4D{`Zs&J-gyd`7Eh`^`&kmVcp3Cnfw2*^!H=jeKqEVZ)grZOLRe9$?lz3!sowU z;3DBV=8->c8Ed&YHw#?G)q&r3fClOIb;%Vmvf@K>v6LvIcj#y+fq>tS9*(-_*9e7;9R z@6jGy|2mBLv^~FD{{R2|zc~WZt2ydG-F|o9)&bAnNZG&3by_w?Jqf=ZX_lLdbbrvU zbPvw>1^qqnpuKcYs5cEhPKqD)e?9C&bV|l^a!6Hhd9xw*b7|sn@8a=!u^%~m#t`>k ziG9f|o^r|h>gGkTZ=1Dyy4vr`%@bU0{gc+whHlFG^D(b4+IA6f6YEjASvU%Do!|v{ zuh*x2$)_*{Px?czZ=|DNPVO|y=jpL?Hop2y_cW7bBF5kO)D_&Y!8D#* I&PJ#FALlI7#sB~S literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/5.npy b/MP_Data/pose1/17/5.npy new file mode 100644 index 0000000000000000000000000000000000000000..e0d00430d2e61dd17e7bb08040b48b2119c55531 GIT binary patch literal 13424 zcmeI2_kYjV8~5MDsv<^FRdvi*O^w!wkz*@GjM(GYLhQ&e;zSU8#ipFtd#|sRgHlC} zP{cgc-mBE?o$GbwFSvibZ@+vVpXYhKU*|g4xz2chBECs*Ry?Io?~m0NsNK7j8_$_UUvN|Z+-qvLQESgoyUo4&GQMYs!1MN}28hqB9`~Hu z#pb-|&-(7-=YI=%1AWIo&QZHNntA=wD?njqf6DdOUB;eSUsj;$za83j6+{Pa7PNME;`AEA*%OAG$zX z_(bBnOxTS0)wk#Hy!07&AJ2W9j`5qtMK{y)>a))f;^xl~^sCcMK)c(QV+(Pa{dELB zdlka-W>M}>^xd|ZvnDa+Q>@(PPv3RXNjwf&8tvxXNlRSSXjFtgO;`r*e_ZpllD@0v zm~VIM(#sn3{ljy9{z+@J%j!$;T~sf6j@o6nT6kW)Nk+TbwC4u-+Qsc}p}q7o=w;|% zXct#TAP>T?@mXqD)xW%lIQx(Gk@Vd0J#+AVp7)5_ZRZ!zoAK+=?q)_LP`gO8^8vMc zVWm(P(zo(8;&Q)Vd}7L{Ta}0F+55nCwB=|5aWytKxPEM|KwrD%OyXw3ajX-YJ0sSa z&NE^m^z*Z`etbLls8b)764#e~*nj;5=-s5P@OQf%d{ns^7s=n-cytEoZKfdX1Gdls zaJ~4;LDa5ZpMqWl|A;z~aU&;@Ud;R*T;}hN`g2RiOeOBUUj(lEWlEywy&mDw#MRpG z5sxZ0f%9;@0>&jX`-8hGhnZj5IgRwLbs2DTG8tSQnKgm99b67vw9kb)(D5(hpzrV# zxPIA^`P|3Q%PLh^KYtbP6AywW!)IMp=8rysi{*#ee>iim(|FX0>$xz3^vdUJ_Ak>2 z^P;}UVu*VIw=rIIsU^5qy476b=50OHg_mIk=ch(@6G%QeUm(xkg~HfRy)l*R!+*{` zaC0XRT)p2KMBM%t2d)Et0T%^&UAo&|{fqg1%Wj-;y5BhBs0`9*08{B*TWiR4h*?QorR6(wvfS+p;mlb_k zKYudEKV)olAo&MIARf`VGuD}Ua&ZKE z1l+6(0C(wMPb9tW`JCfvew*vRQ_T_NF9tk9zpiIB)Q|N`8&BLT^&Z>~#W1%ln z6WnHd$-Lf1McnwN#u=26>+1P7UZ=j-*k|8BjLWP}#=2J1?sFcF?7+OJkb>plf2JPv z?wdlq-eb*3;;v2)aM>#-{Po-Xvxv)%?O6YNBK-A`Z)Soo;rZ3cxuCb3x}y%=&U4V~ zu=Vg)TOOkR-GV_p@1I|y&ehaRk?mbBO?*dp=iXfM}(gbq&RA1n?;}2 z>jr=C+7GNxn8@of^A{Zdjnm*}R)IR?BcJBv_)ibwd}e>yjJTb;9saUvM{s+s{W|hj z52iyehP3BAEWVEURTC1yt>18Pu`K@#@=@1=!M$~T;G@=m?m*o8u^;>R@Hu4Oebtw^ zIPo6+dM7U<4|2eq5cu@s{F}d1`wgj&e!a|Bkso>SHuQSksqv(DKcD2hW$p%UFa68= zZRKv@_WEw#SA$>oM8Ag)a6X$AgkCKfGc1teN#OOaH@rWG?>Sry>Al+fInEOioaYZ0 z!>C==8VxQ!=LEM~OUxv0%e}&Q<--N2b9u4oO!ARma^B?mb6o$cCS(6sY3D%ie#nTt ziM3hd(C^tL>~m@e=YP{3=ye{RclDqv^s;&39;8>(qgcOx0JwLeZxnHxb`ZE%qZYVc zc`cN59Yi#PelkzNk{3?FmqA-GN# zf;#kCyy1BE7@P|tY9rz?_5--Po(0@I7(0=COtw#{KAX|68?+ARj@-c9o5J-erx%Cb zC2_y*d{O9)@AEjsAGezO4XD99JX#YMn-jpr{$OzL&po5j@1VKNqhrCv`B7MpUf@)4 zn|Uv|DqRVBk&X8ab?pa?*E?Ajdb_ka>OnTGj(nQdr#1zq^y~e^_ZD$4g!%arIPcWK zDeyO2>T;aE@!^Q4_*jnTTaHtW?Sj1N>E}6~H2dJ=JqwyadL2I;+&i`#+{V5hOWZBz z`;XqWhY~r$@M9>RYg76 zvL6SLUe9ibe${qf*P_5;K6joAaCzk@`ZdkNun)+D*YFpg>SMjzKE+3okL}Qw`;DxM zb5MO-q8r7fmY+lXdQSn~pBs)JOI*II1b;VYFV0z=wnGQvVpDqf=%?Ml)zBpai8~Vl zy?MT#{Tt-K`6Ykhc~qB_f5{)^vFL!9wvIsT44I6pTJVgIxjd7a8LO}S3~NRRW* z_G*QGMOn+^?Z1Qb6Icp9UMGG}R+(O{Cx7Y7`G4*RZE6)GP-%z*u(w$kPH$feEzD87b^xfs?Xz0^R(~J8( z@;%~ryH+hDZbLJ1{5w7P$g1TQ!KYML&U4q|JTJ+Mz-4$pj%UOs_=_&v5U0(O_BK5y zFZG4LK6-IZBK13kImD=Hjl3jT06 zxNdlp^V2_5LGn?TL*Z}U&g6aUYNes@zyAmO=dFu8n=)l)l8;$=k>me9J&&)N7zY1A z1;AzZLl~F+BLwS0CjZ9y{AMci!fEG`UcTDG`gzN-4~RYc9kiV^o}W`&RSS;^ylSG^5!-N_GJl$!=_pC|PuE(;irdrJ`e#5dr3 zb&?0YcQiM+?ovpS-u63#enr!N_@3}?S@Xmc?u93CJZs*8doL=rCa%MW@OW1hhL1Pk zT26H+dH(U5l?z?>M!Q^nzP<(g7Zbb;B(3px{P>~ z?@jpVoqIW+rd2R6UirOKDIOb@gMChi^L!PUA4^=dx&ZDCI}0vPyzW5#djIl1DW}fE zdQmsNUP*efun6?7QFDyf)XUd}xD4j=-JCg%I@b}tGs#DtZp7>5&=L5%AKP^yE}KTc zN8NkOaaPWabHVf(k38FYb2x8bby|jgL(V{Nlge`aPro*Xe9Q?xe@)Z&%wM*RBktuo z0=*gbE4c37g!41dg3F}m;OcmL=uH#epS{Qt7_W(JIgET#Cdd^q%Pcwe=Dmjbta+K(WvY82&u{Z8OMBbsH6gno2!uEUS97_X{cIwCMduhUJ2 z-u3u_^XXp^=dT^s3EU3#MgG0ock9FFNdUO1QxaU-4b8~M2-yY z=+{JLN1ST$VVpaAmEU%#U2a{%`B0LH(Hg{QIQ{6U76_4zi>@2UI& zD%7+e>uiu1z6enK8((raE{nX8WuO!09g zg1}YWpBS&X|L0QTIe z@yL0pb@e^}e&rTCZ%Ewr^XI(%kMD1`m{*&)eiQ_5JMiysw#7k7+-qHp=keG{#HkvN z-xNr^3%}QxynT>=ua+Oq7qNlg<8V&Uq_^{UfAA_bWInC@65?w0bMCiXZ*Vm& z5B3cw8-PnOmgl8$x1KaEJ*yA6KClX02VHNBc&q9>7A@7s!W=H7lnF!oZ#PTB8f5aCLFkjxkMHi62SEKSBdd^(qzgu}{yH2L>I$A=n z5B-4nT_fHP&ELnN*SD(UJx*rGvl{vp8=!YbXK|e4JBPzJ*G+JBeG0frJAN4WqSU|F z6^{TnSDwTW_m(w+znqnY^@*GLJ}@zcANO$SR<2s*#_ru#QQU9h*N9N_%gPSK!Cnu)($RUftq^}E1zgo?yp*_#)$nnBSN=uMy9{A*_{^-i-?TeXw>D#P2h9*Q*wQ_jmd4Q|`CYcJ{v`(XXp|0bJ|NJnw6ZcP4)u-wpAYzW1@- z)%HR-XXSjZ2fgeX_xorM?t7;6TJ|{{hWyCw=|?0|{B1XLzjYtO$5sy0#6|Q`aJe&M z67?tg9vVWQ=1~;-6%*5QzdpCI?o`lD)|c#!JgdEByTIq{0_g2`O}TzlN$Bm$?cnmx zG5Clsg)uMkVpsSW*_+2(e(ZGe(aAHwweMi&j{-3+^?3*PTPqe^J}rXvB9}#gt6kqB z&!$R-iHN5w?@K1Lr#Nx)mDOw#TVKJro^Kn`hlAt zP9o3d(-fQ|s^fh2*|Qvam%Dfv`Itjd;Of~HaMN##hX2Wy;NA}Y`=EC=avX8xGlF@E zkQ>yWPFo&6UdC{6dnp;~+8Y@g2mj&&!QDCyF8VISeqyfn0#{#^19$!Iz~61_46b88 zaGYH(q5gH2RjmK~CyzI6iNT1cL28{G<@=jTH!hsG*X#iF-hV#aZ?S|Z;*H}mT+1HseMi`T z#_t^G?ey&t&x>Z@a{C0#yIp?(>q`us2X02z2Ny&4k0QM~-Ib{+I`X&mZ7ewiEjv{pi|zl+2=vZIHh{>_3C zye@W4z!MhQU2|fWX%l4g1 zT)pj%e%+qV;I2ecB>e6UV12XJysu85G7WruTaI&n2jtVcX>d+?jV6G5S$iXI)_#w5 zBrZOOkMb`9z23NH3HgYvi@@!fhT!J)N1WrbM`!Lg(_(P9Y6I>GvLgTg9Pg*4;P%ot z;pAh(wxC~CI2>H9SRVra*28#Qi8a`NpsNXe>zv>sa1F+5em;Y9TqXaDe!a*@)PwfD z@+;|8CqXS%c5dy&f8x8yQ=p&c?S8o6{-C; z@ZtO~Ts({7(KWt7zv^KjUN6;sw~<~I;r&@J=ij?zbWIJP-#Z{4oqGr3chiy=l8+d_ zm*-^}|D8()HOD-f<$E}u68Uf7`4xv&(5J0ggvVQK9DG#6n04TBPg%cWG}gPU)N(m- zG4v|9$nifuU;G?=#HP%wpVP*X&eUCwIL)q-oaa&e_ez;9d`=?y+}#dtZ|~v!w>{E> zxXp7JKB~ZfJdg3O4Ed>EsrReEuecu0^+&zg2iM>uyH@~L{hLOUUT5d~wmJHg_p!o7 zN|L{O`yT$f_I~7Fe0`PkGmFnP6M6yh%Wb1@FB1N|pSX}99+#^%kNmyid@k!M{~@2= zqIQT=Ox}uk%#HxWBc?AOMtWC{*PU8Wmg^_6;t1lZ&;X8qVQC)Mni`t8{g>xaok)i~ znC*8K5SLBkSf8|g7@Tmg1$QqTxP8ez4?d7t3vtj#VR3NAJWT# zhu|Z3twX;eL$8j+y`o8+pQMH0-jllRh>J1~T*qs0`M7Rt;%X6}zjoC}p2sHN)e0p3 zWIyttC-`H(vP;roe^bqVgpaGj`((=h8$kTdkN@A4j!u2Q?y#mS`PhS7Xv}T@?)vCGLGy1M%2* z%`h+a^<1nY7s~sRnw9#yS)TL3q!&|ia{Rk}c;86wGbAvD+Xqd+&4%NsA9v_;cj7ub z>s^u5zf<2VnUA)flQ4YTwn9BUVZ~CY1!xd}vqJB-?Nr>O8e}>0(x&r3K z`;PxVuy=3+;#c>4P|q&&Pw;oU`*WNzjmA>H;%x_T`-boT;^JWJ!|uo%)=xao=U1V0 z38YtX3&6cPkvxyljZr6dU~a4zQ@$qV(QOUD?*Pg-5PBKPzsGt%`}ZRs+qetj*Y98Q zeEpO(hQ_6iq~65@42VPbCO;Ly?|a#O5*)6*W6}-DcoKwgZM=*bH}y5BBgKas2XJygHl$>&IeU#CJp zy8?Vn*jwg*UK>N)`{NnMSvo6xWVdd^iR)T?Z&AUYpcge{7;!N=^*(m(GPu=04j``X zw1SUqy&YVYcfH|XFe~qSq8$8fy(_r4nE&QL?-k+qaaV20q{I{-`;7no=n5A_9jXl{ zaQ`uW{C*^|9mc%qO?xpf@u(6LEQv|KF*2J(+pwqu7V_<^ar#9zTcY_w&|?q*v{mfqTFA0XMN~68x!;|Nrm* zy$n2vM;+*ZJ%3Xj*lGhu)BpE&+1_ydUFH9`YqLxqnV7=O(?{U$VWyj;ck_M+mks%T ztj49qIpq~uI*Rma#S8W?9EyEjmfj8SCh@&c?LW!qSK|sp$-`W qeDtNV=-2I-G?uuF4+a6Z|C$z?R&7v}s6aNoP;^P7U literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/17/6.npy b/MP_Data/pose1/17/6.npy new file mode 100644 index 0000000000000000000000000000000000000000..6dfa63729291d69cae18c7754a478c84a06ef1b6 GIT binary patch literal 13424 zcmeI2_kYh<^vADNErM!jwY0ZZY_+Ngx%Ozp-Xqr@K}cc~7m0+JiBU0n?Ny>^ZMkNx zst~()3u@J_+WO6To%{vgU%%h{@_D?U_q<={+;h)8@B9AblMvLlS&NRD#BedjuUGHz zo?(79q@RDE@BGS2zdoU15nP@_1_krQP(|LHm?n8Q~Uze=-?YEW6mMSa9 z$^Y$N4w3$s^~;+9=^t+JJp%8(2IKbAQs?Me9BSv$xN67aYRkvB zh?_y*VB8#UgK-_m<8t*NjJt+`7_<7L_C51Z`^(+EPUGgk ztQYb5<%R<^Zb$RDjDCapixP$Yq;cDMz!e(zk~8#EY9W68rNy|ITktZCi(fOwH$S*b z_nA47taC2#Fz$cw4*Ath_FtuO`*az`^_#~FXAJDj1@*%Ee@qYVhT)f_V zkGMQA=PZ5d50^cpPj%(H^E9rzHN|~yVSaGW_uM};ZYMTMp>fq`>m|C@jpA{?Olt}M zF8=vr8aI{8z@G^Gjddr6{!8}WsI93quBT4N{bs#6L)?5C#(B(D=NZOVAHjWMO;5yO z+Be7j>V6}{=Y{U|=svZt68m56k85`&@hRPJo4&>Ude^?c$<9vM^Bnf#71mD&K88Pe z_{urrp3eeYyWM_I=zhKC4#zz*<_?X!kXe|&cvUBf#!b8V;l$O9!SHJi#`5@`X`6`4 z8O2B8^Q&UGUv2Y!N7r`ltF_7W`NM;9xIPev`)$oK7?+)*9C7ba&!QMFogMefFWO{Q z>D)~ld4+l8)7t6RD$6t6FV}a#xa=Q`YgbdBp>c7tF76j4{=~T5c@*^`zx7GOxbG9T ze{vS%YJN}TK`hUbLgP9r=WWDOc~TaYe(h5K8cEl3|CW0gulj=X_R~*1K44=ajl1A3 zcWK;ZE{D1>VbwYAn(Y#jiLd>X>$TY{u7e9HONpD;1;D+XKVF8;orrkiqQY_P6H_M} z_L-|a7Ip4Me#|B}-nv&r5JYJooB z>h1+M{u74MxEu8c@6VpxpJdWkabz!E{{}7=1f%}chMY5?^I{RWES&8$-LLNL9!uQo z^$p@tb>lb>7d7T3uQJzn4}p8*vdtoUU8w@>-LpTzUE0kl#6>_AaBp$}tfR?PF_yTk z_Z{;|9l&*Bg{k0m{lR6A_2AyUrPGL;jkUp5bf#+o>DSKBkL_zSw`*g;Mdj5a$zJ*u zWSv1xur6};XBPT3Z(+VFR~vBsICMU7uX!WXh5lj%@?#oIwdBVpK0%)C*G14z#fner zL#Nyxa6LHyToQ7t_>Cb$R2X3bn?L%A#H3XMc3v-_2>lDtX%5n?!?@eqvHaVS}dk^4Oht@{@$UYSkh)em7^K&wz zuI5M2B(COem)=S4_`gu1_fDrTy*m&_t&xhy+^2j@##=r$MFxj&Uas%ME2^P1UD0_Ax<-M?Fix`J`(ZEyu(rh z(l7O^-gD?vS-yvu{=^Hy6_TFb*cwQ0DczuUD*6%(BT{@Zi| z7r`;8D|fL+hW)SHSLdYkBz>>rUij6Q3$f0{pT-0buaU9e+rKzN*XjLY0@BeXxmjR_2GjO52M(xJBo{#d6-i@=VBNvR4tA(C2L& z?{}T~SJa`a_zLzm=Q4g?Oy7if%*OYu-}hs1uj5@jNA&yuz)ip}@GFDg@pEUMfWFw& z9o$X|fxTSAe%0iX9B0=uTo23FLr3SU53Zw58H&^FU%`I&bO!eh`C{M6kVJ5IW(w<{ zyn+5B3UmFtLHoePxaAW`N0`Q}f21<^w;2;)Z~C?6dU#e7`Lv7ACIwJ_!uZ_cg8G5W zKkLs&-g2_O?H&kym8~iEyBQqIaklTmd})!<@VoIW^K!eP;|&X)OndkpEDLI1FRxdzzpVpA0QxxUencm}$23OHX_<7_%C6VIvj?RN$^=c{S|9z*~q;FTSzH2dsxpzE*xQ=KG zzjAL9xXwM~?cQ{*OftB)V*tlLU{o;a+uPaU*Bg^BCgd74K^=BnWllW&Q-u zJNs38&cnrIjwN5!$EqyFM^l((lR;e%KK5b;{4V*WG@P7aNF%$kFLE>>R9?Tz5BD@ z|H>kM6}Nslaa%nX>`lA(S8;z{pGEjg?E!oJeR0I&4xR$Hb@_QJvuuFA-qfu>*{f<< z&?mjg1E8N{Uo$JnJd0xLYMIOwO1Chi<%URI3fAmG3-Md{0q~pa+<#?8O?Dw#3 zN!$+G0j@4F_rgBAPIYKM;CS5CM8q!_WJW*ncAkK~cvK&G_L`N5Cmm7l65>%uGGW|Z zyf~7$8P5A!CM9EDqJzY~5KWJ8JZt#9*DOz-Pxh|LX6T4-m!c1d<9TC})494Fh&;#{ zFFF79V~3Nyy?GNly6iEY*TfAKiL13f&@p*eg6o|HIuZAN@?-vTI=En`Jb=6MUQdvtG0Ts4Vc zzPlK7Z+usiUw!C9 zMrua7*`dowUD# zKI!>z-!SLzg4<5RqDV)E#c`e=&cS?bRHx;{O~*6Pw{cZb|DI2=Xwp~icjnDC?~8pa zV~C4q{5^oVvJBk*u^#!c0S91jEd-CwP>p(Yfm&FJ9S5G4A!Eeo);407$+?2b}8ah+Bu5_6ah{weI zHUjp0%EGU@kOy4vp2N?by=*U|1axGfbvQqWANd?5Z~0)o^t)62NXH9$$$oF~_slY_ z>|)}o<8E+o+hD}+)vSg-Dc~75!u1DUmdKk3jeBo0O|BE0WNxN z!oG8x$76kMi$<(d{xIxifmX<~*uM&S^PU`qy=R*bqjV2{24Wpm;u6FuXHDYu zE%O(+9=^X8>^EJ7zB@O8>wiI2#A%0W=Ki(t98s;W;~Z{6QlTTR?nONMZt6ISUlr&0 zy=6RK@4@V$;Kk0u-d&i5^_3%vbtLX(xsCm0kF`e~ira7SJhgA5U@yCFfxW15A`&{O zJK4T8e=lKc`Yt2x9(u6%Y6Y`SaFftv;tNI~ep|I3)=|pVcu$mHF5-O7=I;|!Oxi-S z*ON!F{XeylPZ7NV-vhXSByjmGfuE=2T3Og{=JSK=X}RyU)gi>akN!kF)@LxdeR`Mc z!OR4AGx@zzl^%)pl`VppCoX}#D^VjHI_|d_8((k~iZKDu#oy1ji;p7XPt&u?aVT}51lv;_AGWrMv67*-Q}YHh@+e>=|W zlK+P!@+-1syw}tTLH^ZUe|}B{E@S<-UD&=A?^8APAnTXr^Qt-97VF|2Oas?xwV-4A z&s|J@GwF*l#O>*P z&{6q@F+b!#k+{AZ2<}eg0C%f%pwH_I6QSen=5x5tJ_PzA`%Tu5Er9r4uOp$*zrO+8 zttiL5OEo^Ht;r94Z)PFpq4A?(f3q6%egWWS?XXG2<*u>d_UFEcM^5-M0dYQh3w^aO z7y6+b(s(d&v8OTY)ylQd@rwO4i?~^u1+ZKJ_B$@92x)1ZG+0n<;(g~=4+faj>BOAfp??k!jf?gEQ|dnX6+`K`up z;I?Q7a65L-IMVl8P65|D*RamXDwB!3oom6>2O0X2&v715ANU}CS*RlVusLxLb*T3$ z*vl&XeX{YIEhQa0wGQjQ=l2d3*LE4^^>hMsyyDBw2Bh1`#FsJjX@V!f-elT}y45{f z^(T9wR)gCb^U!Z?seH4D+qWy&Z^ydahwt5q1OIp$^iAq@^at_uChE;jsLVQ9`Tg3h zXk?+^_Ct>6iw1~CXx)vtIvE5m@3dv^b7x2Z`8|@r`o*f9p=({B=u-N0X&L`#Dftfe zCN^Ib>DX1{;n&>gjdiyV7Ng(VS*2NjD1U$MzFs|?bj-95Q9ri4!*f|4sr@tbUqnMk z{PB|W@ZtsLtNgegM9mu9fA06i`@3uV6!tpr4y>=~GY9djxQncl{}*2OOMSbLzJ1jT z@wgc`u-{E3KSNwT&-j0Qr$6CWY&nPXo{C-%9q(Q!&-bt#lbmkv=Kak26>dYv>zg*7 zxG2tbXvSqZO}bv}#9{QQi;ZEwwKKt9$JNEYbN<_);|}%YJm-(?0-ZvOVDH(c@M~ud zjVB%FegRkS4njx81zGsn+Z#Ia;{ja%37cn;j?Ft4Tt`HJ%i-~umuRtrdE{hpRqr(R zi#jw4T=e;Z^E`q7|0TEGVxDyu>o*SULw@zDbKvg9C2;Lmqci-jKMn59U&s0ZuiBBl zC=m*-GachRA6hgY_GS_5G~#`#(vC$Cm#4;ptHQjFUaFWt+}qh6+}gv?7gdj8U&|}} zdjPY&|26WbI@iPbP_^ZGnSd+U*P{1>7}8N4!=WRpMKN#r6#c|K7yvHYR{_^wl!v`s z*#q1Re$VroTqqiG)?CLrLsOU+I1@(P&Dg>^ozlQv$=V}`d#CoXz0J=0Ds(h)`}8EZ z{q|dqr$AN2@0Q#H_v%in-}54VhP%>`ioD)UBx$lo6-sjW~VyIcsW6Mm@;rV(2Gwc^%m6)8W`hqQ@=NzdT%u zb;?9zzsPx!*uO5-mwCWW>x9i4$yUqU0pB$-A+?4zTT>X-94*X{kp5tojEBN)s4nsZIz5gyI zdp&s}$0;i#5Ayb*1n3;D2pydzqyLW__+xUqy%#tcT&!))b#-q0aN_DwR_qIrbR0V7 zx1TnXj`zGJ?7fCBkbl{v4$h@+MH0BZHxv1^O>z!^{d*zVU)d-V z?9JO1b722pLEev@3u9l1slHptubb2p`ev}?dZ;lAb?bfB4cz6}g80oKZy|JQ?dJRx z=Kp`WV-{B%JW@65jrww!g}J~{)ezvr6RH4b)~=+#BHl9 z;Cjw4sDC{)`zqLP&IN8}we_I8?Q_JbeaawCxw|9p_wd>ClF4t>ui(1c4$gle+ncy} zd5LwNyg}ad?YuZY==nLoy_Wen|M?D}-n{JBpre{sWM1t_B>A^1_&jX#K12L&N2%(h zFZ;iNj;Oek>%Yf+azHLT*hj?6*dSi%-NmCK02`CS4i=P<_9y5gF|E3h%hfPP`MD9I2-&ca`r&h^@ zWN)U$!rt>)2`(B99Yx$7;&X+{ItbhzZ8V&?ZN>S~h1!CviJ3UMMk*W=1! zzAA;!T`FlD^Un1q!*9Dsh(`|Xh;>){)+G`5hLqrZzUFhgJ$fP*{IA`JQ+6$f=Z@&F zCnS@7bPTwSxq|$ADI3xM)wPUs`{xB=Z+C?8bL8Yi=A zoP)mPIt@fT_QR~uaZTs3ezUnV$lkkL1p7#(+~d0P{d*m870TZ`G1TS|2xYu?I>|NR}j{l!r$b-xy2a>(r zdx-UKCBd)G_Nj*7$g|)sw*{9CUv(jFrriLyu~E$D|Je~bt@-`bJ$;XLaibg63`n<^ zYxg1#-m@~7>Dt@=A)X7mSykwGssEy$MT0QJZ#vfi*U_gq&tW-w(S3S!2XNze4&2-I z_i*Cw2=7OAn|~+Z4cy%>Ih~uNQ}Am(S&Mk&iy zAs$(y71l-NsfPV4m+-!`v$Jx3l2;>sQIy}iReWZ|Bi0NLqj*fE7SPeTj-q~qxqyj4&qVtjt=7yI0w>nfi=z6VfWaKE*027qhRZy@<~@qB(3Pak8w z%pW_WXkAPspWEfIpO828@X`;&b@PQh-{!xAn*}vy6Zd3)aCIXH-1^m90(+mX%y+j$ z9qQ*@n+1^0BYuxFhn}GCxiWo<5EqW$AJhMD0xrY0g$yIc7=;(H(KWo}hr zzZIW@d%qWoCLQzn6UlEQ*7-Nr5aOa7 z?^7W*gUgA(_b0A=eGsR&g#X{+^|*_3i>|W(e$8QiAJ?aL<9*!Z;r~CHf<;h=cGMB< zJ2f-oJ^eBNeoWs#fpw8h8}hnb%a6M9j*MHBobK2Ck#YVBx`1^Q3&Ix?_o`;pd9H6@ zFWw%GA#RWI`CLBoW1X5^c-`w&hrTG^6kL@af%A!a*9zROtAhEO{r+QUzVtgfI!}`jtx#P&*`?(dk$lnj#yM6>bedz!H{tsqA zW=%jH*e(2jW3lOCH1&Dg<{sBmopotcH!9&V`nJ3GjO+3R|9`-{))()g;%9!Jv_}>9 z{|^e|+#;)I{7z!aH9V)B&o%TzF<~J5s;ZB`?VJmRlgW>7HgMOU&tqQ7*JFv>QajMU zM1wKdcP3Lf-pj^lpEXz*T-|m zyVD2XU%A%@PLq!8G6MVE1ctLt(PiLnMHD|WnMXuG~DbVrX lgL#=jBA)EMT?X7;;osM}#LUof2Wv6UauoBm1z*lf{vUKZ%iKm(_b%C8M`s z^%B-ZFN=Hix}MDE%3tvO`aFL5zRr6-=QGz_bIqJNC+4^9+{Qm31B+rYoH% z>zS3QeMEYD{!!Gvdk@;#wI9*0s%w{}KcHPL zK5_)@vFZLhK4JXk-gmd0j(r+-+qFxR?q9AR;%A3fq1}|Kl!E&csa=nL@xqH$zgNIxY$> zy5fFKzl0a=m%na(&9&RY(YR0M`46}(dh-o*34s?}J8!oBrn?r4R?z*=+o69I^Z9?S zT_)E@f9&`r@(qf5=k)B$mCI<~9zyqT48Pck4-shKb0{(Wy_!OQ=I zc-XKwC&{Hh79m^dXw`2 zxIWtu+|*d!&T$nm4P0$(4KB^D(#}Vfs}IhbWC2&_Ln9rRhrdHS%>NnYk^2>C?6}Ci z0(wy+5$l~-OdLx7SHX3kO|%bWxi-LYn|%QJm;4J{Tv!qU{b^rtcBcgV*^KTD9XCtz zfy>u3Xgj-71>$6V)5*On&mH@ARyjH~H*Z3LpE*Z?@ z)f~s=ge~AI%OdE_2Vc}7dpnhUX8c2SIH@-3P5*u#oO@(JUCD_>QCDW)dT>*^0yz6n zZ4&$o_>%wVuT+OmEA|B+|2MeYmj(4By-r}A$|ir2j~qh#!`Y{+ot|ZWj6BF;TWP)u zWi11r_06HT%{bOOpD=5TU%wpKj!wss)KWwU+3{Hkn+z~z`2aNeLU_CtHNJNf@K8a~?BTRML^AOf7{ zli;?{-9h00rRM-smnjdEy+R%53n>5WY)|-$GC}BUx{g#dG2QH87!oF&v8U{Ikv-TjyE2{s8eD+R>@k!%sGp%hyKHU zs-GDV$fw#DJHoZ=brWb_KIWx7zv&wfpQLvfujsN0^)I}8#ycN-<}l^w@J(>GI3uki zv6S@5`H>$LF=49HOP>UAZH6NcEUYB-qG2ewS}+WHlX@ux`YdC?S;euG=dI16!D~ek zZ`uxAN39J9kJt<@t9VeJ!-p<)T!n837n_Ph&wjjxJg76*i2Ks|wOgi4ae5Jy5&OK| zLF=8BKZ80nzkY;XWmu2rg35GjwA1Sv-@w_0|A5Q&8|b;Sj*(BzB=l>pT%rA;M+V|8 z2NDnN1U(x|{i>2bQk;)Hs2=Wbq&Tm%0$1P8D)eiArGCHk1-FOtPIO$hSq5(A%mdep zuVOu#qw~ne_Y^p?ZUB9g1Rf@C9e)!11;qx5l#m11n*gkMQ zsWQz=tz>ZfaXGlXHxqgmRtQ{&$75e&Psc?$A5-)Y){81rj-CspUPd@><2pevy5xb6 z@HmfoapyrF*MDRb)(acgYplCw?TeGo$UfMw)Wgv|;D5dgxP2Rrb!UfOM_sWzBj9g* zeNhiK;&=4RKDGi^>w7}4>U5&@5?mVG7CS=yCcc>J{B^mv@Rxr!#d_DT4q`tS(*vmA z6LsnN`0ST{E>1b=GOgbhC6Na)Xw78DbwC~X%L{w(oK;hUdO9xpW`U0xCBb>$FGC$? zLkE(6!3Oy23b{~Mrp^>_v*IN3$qp`Bnv^D&7Z;&leOpuh4|SS{euKzg{xF^5$+da7 zu2IA1jo+$>|#ah{qD{i;0Kz}4nI`#CPc>J!hm7IE_7^9MVw z4$(d!x*W&2Snm1AvpK(=;#~0s@$(hc=J=%P+58KXw~T!$57lbMIL>2eU8{y|Q72Lr z*UsPc?uvf-jU8>cl{=ul1wn^~9`8oL()6M!$Bt!TYlgjNI(>@_u#b znI28!imx%qaq}#F-#GJ@^7+2gO6S8f2U9&H975fi>}MA^J-aEv#o(G2_n&I3@%v-| z9*aoS9q;V+gK3WLv{ zOxP!7je+Ff{>!4IG=H_cGW6OzuH|4`-$y$mhzm^1bG(EJmcZ-eUtQ=Gtu})T^;SX zoyx)Gxg?BBRc(WH!B(6^zor?z_v%ge7DNA#o>TU=#y()NnqeoD+1!srE_EzujtZZa;&Yc}==F&b)_%+o*EnGw54w z$3?wv;QC@$a6RsRSLd%*RiQj5q`*hTPgv`?z8wm^Q5Q(>!9pB2he{$pd`B6~i`ics z&jsBy67kC(e}L;xyYU>C3+IBf(*kv6OD~!4;xPrTgPRGRpqFK$;Um6WA>Q>W;*qP! z$0*vbM6o)U7gm4bY!{EbQW$#OXaqR_7&Oswk@W_+8u2I13Oko)bCP%j8_)e+Q)I$cnLVKa1M1YBMZgDXJuPjFSCxqUwk;($8qy*H1#|6 zDY!|#H_7?fDsjlOs2q>+^6b5SaoqGsKj&YskNOuUi%)hw_Lp)Yihc287|7Gdl z0nTjzx2f~!+`jV&^rq}La5-%y^fqoQ@ePw{yodjcc0RfabOW9{%7e~hGU6NR$__hD=Z8DQ?f3aHU#vyn{;pqh?gQfF+vqzp8{1$7 z_@4bV-dXg%tP_2)Ps&lx!F9cQR3}%x7el{;&eb;8)f+BuUb6t|hvjRH`mrhs{qo19 z5Wi{M6r6o225#TK!hXnBJcGZC_XJmMdXI4aHhXq(7TOf^YfC=s>iSVnzNa|LZNs`V zYo?vE`Hl1J^th6$){VT z2*+hM`hH>u&&T}QqC*25=N}(oeVLdps6(?O<3jNJlPUhNozSyCKEvN!-3PsmzX3hZ zRARN$tIw&>n<{<4MPi>JNseC~iTF+FCYVQ7Z{SSF?d;{?R?+taw*KWZ$9W<84x{t? zAfKw^9()HdE9tw3d^R6>P>TYz)3XP3evmC!QhkoU83vzhwEDm*pG2Hy$F0$Z|9YJ-o-cCoYH;;35PF?b2kVr7I!e6ASDKd>ftVLv{~owK+JNRUIAMkBSH_dx zJ}e5(--Z!iGz)sUe=)dx7cmQZ&llk4SqpGmAYhf_y6!7*eJKQ7ji7x)9c=+F9*n1b z@7`NHe}!ilI6J!rT-Dgw+WGLs|Rm2y(m`L$FrgOL*?GJzb?LPVY7e@R#U)&I<=hrubn^Bd(*@@?&j*Bft zX}pa}fXhbF(T>|Ub--242H>{Ru!-=QJqDZ=2%&NLe>dN8?D@u)5*WT%e zc^CIbV!!1rDw5Cmg*0C=e?+EJ(sUH-3Gs~Dez%8-ebJ>OGeDQT|@OC zmUv_RinvI;zuSzjpx0_Y{CUI-#IN$)pm=ueA%47Jpz~Mjf)S71d>8ATS16$z=YHw+ zFfj%Fs-(Yg-qX!Cl25TAl%HpTF-b1|w%ftY;fL_C#|kRP#T%+a_Aui`_}=b5!u`ra zG3b|hG3eQGfpw?fC&EXL?nilE)3&Gc(Px)KZ>qGUJii_q?|fLd-QcqH5%_5Cui@W@ z){)8?MtRl;=QOi}k{*MT484>HCA6TNURY;r{?! z>^TTM8|RIEUT?oj`jhl`6S@CIch|41aFO&GHbc+fU+m)IZrn1N0`#%i)f*ud(3zR3h;$g~mIss&xaG4Nifpzf-WT&F*pFqS!E;)6~5%@`<5w zsec~Qx<0aYs`Jr9heOZC%>q|hk77SjSHr-0J9^*YA}{nNq#wA6pzp){Q^v{8NBFI$ zes5l-@fO(qDcW(f^gQ|Wq<(eyGsG`8Jq70* zCt|&r%6^ef&&w6VI${&&VZEC%A9nbpaohI*`H!Ofu<|=PK%e0hxE=E+;*ocEqTYCT zC+auzG^{VRDFf<9mt98s;?0Pk&#s)0>d+mWx9SVdP8EP&-K4rw2R>telY16(r)Oo- z|36E)Hi*-X`w)aUBk8%OgD0aNWTQ&hPk6h=RR4D(u#VVDU6?E_escYaZj?8DcQws#@_PLJUDOtcUpA|N^<|bE$GqDj#Pu(c@HdB# zDCeUG)BZ2k-n-!9*3FKFInLYAdBd8P^n9=6F&*tW{y;qZefsyt(u)>5ZtC_&zpPIW z(l7TN?KrO(LF4V#;i|i~&EL<#Z*&jn`SJid=iDBJb2ZyN6WrztM&3-;MvIf&eT81Z zhkYsuJ!8?@L;ri8sgP>ggGBs)+`c+E@pl(@a zf6SwrNOh%(7sCF=@|$0szZqQ?{n}FF$mi!J8^HHHhmV*WL;F%6H-^S5bSRd=BN zb;X>&InEfJf0$nv>#jxIY+7Fll@KRy6+rvIPfHgirM2tA^!&1Q_Ml(!-PT~oRYVHK zzw;yIzi~mFANbT<;I?`JOd_o6B?_wzJ>U{`vfJZRc+? ze}<1fkx2VS=Qqd?tFi|^;@Ks{FZ=buxro_D(92wHXk7EEFLC~MU^KWn{T}(0dpc>y z#p0dh^Qacp$=UKT(D$Qt$468q{`a<6$9dQ=ir?Fl;_opAdDGhtz@KONM*GauO3R$y z45M=?8@dMhVJWRfJ1$qJpDUgX0vF}VL^-aiTlnk$cBXu0ybrw&%L{)ywHNv1Ei>Nf z?TJd@tmGKtt?Es2TI`#bAh0_ zjw}Ct@Zqa8&DZ^$zK+Wi4@sZ32-bz@8@&kM42PUFnsjU^zZHC zQfHHYZR$5@5aQ(4YqI0^MK9uWCSzXYg;v;yt$YX0_MSsLqCsx#+p@(naDAQLBh0pD zs1v=vFg;~FT zdfi{*I6p<_Pth(JTo^IWagjU#dC)D|63@_XrQ`NVPvURep?+A@o7O&QoF&tHoH_Oq z`<~qNu(;!P=WEhePX^~66*_^psfzK+1H_eIF3c}8bRN)a-;&SX+{l~UJ&yEOE>it} zd%3{*$kio~AAQ>se zfRFwqDF!@->cr0b2)*9DWVqvE2c5@krfc9V;Mx%AbJ98$G4yw2d27l5$4$OGh*M3f zK=Ts%d3lAyc!J9}{mK8K zH~Ifg{}0pj97pGqn;pSRes&AJ8A1m-LiAY5l5%AHl`o>BQSr$384h z*T=l@dJCzphGm-x{h5y7rc?;HoO2vJ&FcUE`+qP4+-oka|LgQUUfhqH?Eb&E9seBl zB>cAAb#-I=FT%d9qrQL}T|d=vUZ^y_&+r{>ss4Uzfc;-T@xb%TQemrS43} zxl3&grMjF-e^<4?|K*^o%osFf5nUtaMQFL z*0sLXDBkH!mR#VXbYpss6sh0ZadAK7vg^m}@qoWvJ`Mh2a7l1`t1<9rffA z^a;mlKMaXL{JiC3a2w=7<8A&d()r80`AJ{aAI~YFisL(v_B?#i`KYoA`+&~W4n8(z zDYzd06!G)Y<*_gEwieum-i5#MJ3qPXm_$O(@TEPS1CG S^r_yaZj~|E6J7b5WS?(k*Lmo}am^ZeadA`HvSl*Eo|H_{9`NzEwpI*Jf z*w2aXWhwr{Bk8@q^ctV{twjAVIrYry*uI1B?5oOIKFzj^YVXjWPPuT&a-MJm?^)~q zh@TZKjL$nOVjtUf=ju$1UyX0O9-lv-GuU$RA`t!R+%af(TnlWpoF#n?#pmj};Pbpw z(f{mwUG3fKRQpEoXJ6R6%=#y!gCM@0Q)MJXhFF%bnTz zUpKe!gWk}%oAt`>*!OWa@Lq2Cn1=QZt?+qu@fzBNdphdH`LOX0+Rwa%p2wx5U5D>O z9#q{O=WM%m%sAKn*Sg!jJHx1`qw?51_EWvVC^E9pVx!JB-F27A# z0DYbk@E6h(KHTryrIxE)dBB||lcCqM&ys)eJ@^>*^F!dg@!OeJFSodYtNu5@P0WE9_>^iwylMr^BRiiQ4SnNg;7%?d+7DhX zgkJS)0WL>w12@|~Q~YmRk$!W*+wL~L>E6(bjaj_UEO7B@aftO-mCHlVzqZ7@@P5^m z<$T>Ej8}f@O!KuiVvgndSO?UF%)Ju%5e;T2^pp4oc~&zkVZRi`Gum3cDW3{%#x|pU zw72lET>4D|=W99=KNw%$`sgmr!JX>4$mfsVs7to9BH|GTGcb>QZZ3DLm*W;gFVl8n z9%cTYM_GS$^fI_8z5$$tWem2QB@QP41BT{(XWxOA^XPWqJZA;+uj{mc&-S9=W^XLw zQSPV0+%xqedpPB1d0$$WKaBpeFO$nyH|XW;1@JKqT*q3yZq@~P)B8ujhlO2V0^ac$ ztuxUCoVRg}wVdUAOYxk$gZh`HOH4@3#3tnx`en=9sDAp^NVHtWX2U#++tq__>@fpclu^SUCCh=QCFtVdeX;K1LrI6PPTe> zwLLf!AHmuDJi>Bk#0%1AW2hhFeIDzSKf6tQ&0t#B)juR#J@?H(9z;(%uX)k3KUl82 zbbwy0setv)j_sWYeYt_)^7uF8U)OE6<+6}B`LEnVd8^hC>rs#GMDud9DD-0G>dscr z`dxzF+*$#D^*J}U z>umd~BYi2JK0iP&+>c^Cve)^E7e58gHXmtYebmQq!MPbr`CmT;>qV8I{hP1y09Sct zueJVsNFwy=nHR>zr+&oznxzMbHwgjPRh!0Jf41XyaOe9F^7mNajeaMEkp77`@w=sm zKwpT?0e15$@}N6bA7r_lPx%+Udc$At>W_YT{0-zsFT6wgcK=PadMDu&<$r?!=btK1 zw_L9q04`kiVqaC!_58uNrXru5RfgUytr_Z`spo$$f}WTAH_g5mr!P#hdZ$;``SvOV z`7~qPf^EBL83`Y@yg2bmBEfR!(?^U~hb%z-%XRG%tdD+onDX=f60M__hp_*vrHjCM znL@~q-qIl2>gAkdaG5j$d2qf~!n)&)hJu^e;m{kA*U##m$CJRFq)>3j(`%gN#(O;Z zyzfN*waifXpV|Pf8&Tb=D&yx{t~zW7=iirto)?Kh9{8B+;Nk|YUscnIf`8fE*dLsM zFEB2%at7*97ym-~XRB~7IP;gIo>}c2(DQ%F5fAxpn)PAfIf=WbQk)HYVjh`mE^sws z5V#6TC;#85Uwx$xxH!Bh+WPR<8_}=n*q-#oJ*DN&wbkJ4q9FcDLWJeIR1)zmGr{%W zJ+K~i@E_pLZ%4t+or2J-?|&ixB|p-5NA!W7*Zqy^YDPoMm#Uu|_c}E{>)x`#2b}x# z!g(k6{0SdDtSkK4=MbEm+RUJS-6&4o{uj)nZg&M-rf-K2J2yJs#xJIXfvbhYolO-m zFEZB|^4T;8dNF%C^rm`AaD90u_9eM02K|b<2T}jRzcThWQ}oJc63}r2Smqr@aI=MVZHN*xx(SIst=7T z_s=*7b;l_KY+QWpC0f5B<&g&+w|@$_^E3QKzrS$Ks<$uuSk9{FfsgvRKe!xlYoz6> zB&|pJauxZPuaEP~X%kI8(+(n^s=S(?nyHsn=AmD6JBjlDIxyb)nAzm-9Ev7B`&JP8 z{gv{@Kdb|1)ygpIBZlm!c*X{Ro4A6)aNdnF3VfpYy{6A}&-B+$8o12k3q5=OU8v<|J>3&bi}t7!wWYGM z{`z1q^vkC1K|K85QpTHX$DK>wCn*>rbG5KFO7hwLit?Oi$YSfG{uqRQ_1N9CkF|0BuzGdOkK*yFZ{WM0?y;=uF!am6 zxFCM{?(9`0Uj}9A$%J9QGVW3qj<*L1ULDD5sz~u1^(*8+2QahMf;(t z;0u2pkqi5bu2hHgtJ_f?-W>}|wd3+nfWO)0Px;SrJP|%!r&IhrZc{#E`gvIH^w~}0 ztw>yWPAq4A#JwQO&+5grPkL7jhX1N_G~ONV$g?aPfb&ts&^?Wv%Z_%Dah&EWM>UGG z?LHdU_7hkavd(Gr%P&p^*B)Z7jfXAXLjBHIhJ8S`Pme}Co}Tw@yFC68diHksIOwlG zB%gf8FfJDLq^jk7c46u_GMVz+FFa&?*`Kg^AuFR7fReu-I;qHcqF`E%FaO3%&W2;AQ)D9)Cl5i;Ts(WBMyV7%=4HDNhVod+LT=p^dgX;>=(KEt~s59+`{_=|B%y}|d=d8*SgsNcEw zaW2TOGm&TcX$IAE#c4~ezms(?v#&p+{$AHJO!@qtO0kT z3L?)c;3&8b`2w!8mx5le-b(z}$r!JZDYy@aU+JEper^T5VPnQye?532=^M8M7sXD8 zBA%>!BOmGtF6&O7V7WN|1N3IW*_-Z}@1-m@7W(ko$TMFUj`5nE&&SwyJva_}cBLlr zDGT`G{FO@u@%QsDi|UO)N~{i^VM z;A~>;S+-xXE`j{_d_i3~865WqJ|ycN)#4k>m)yR@*ZP>GPtZGGFVnnl@L6OzYrT)+ znKy*E&!9h{Z~Qm7DEkw*cIl7(ljV`*)BOVN{{c{CEO#OyOguuUN2jYdw zfIBJ<`yq>Z2_MJeKzGcqyvO>wXL9~$b#PsH9i10Z?Z#WZUY&I> zDshb_f0yR>&^Mwz5)a)iWM@-azSl9gg75F$k=o~cfQ^VbD{3~lhFM_I&&)rjjmaDZ_ zDbA2M%&+d={CCUQ(Wh8n%*xrrk^*s>UnoqY9?2$v+kLX-7$}1PgJbsau0p~QpdhxTQjUkL%+PrO&V|OVc_QRVXQChISX8F4FXqh zTZdX7RkbTPZLbF*vpXv_JA(ZtU_q;(Op$J25XuqTTj1LvFCwoT3Cy69JMmN$mh z%gpB;EjL%|A#Y9w-QU!!0W zz*XMy;39+eH~BsR+!P-^198@)^~;~q^UTcWU`duM@fQB#njrtcR)|M0=}2*olQb{$ z3;Ww~na}inLAfpkH)m72S|8bE68SvZ1MVz%hy6swbwHk-9%103P&OiEQA4{fBS5i#&@5Uh}O#E7*!MCvuY%`dVg#Z_#+Q+ zH6b^+-Zmr7a`k))e9W#f;Jiz6u;nJ|5jYd{yhYWmIt)JLH-U?RH8C#!-x=hY4=qdn z<;sFPcb#!oFHXBrJc(|UhaA@sKkBY0FpJ_k71z=yf4lzdEJOe9Oh;FNj~ZtAM%{l?HT5 zwVw|j46Zun#6D)mNz^~v?MvgWx(?jwn~3k@s^1FoIbMKo3ygT(bpl+Qa!GobMm_l(5oJsy& zYvXyKOj}KHUUUO@9&_Zubesi$QRezp>#G8`V1Bt@BZ{YaB)Ik!%KDqb1xSCnCE_u$ zgZo?Vtn3D^g(tXZwrIHZlXvHU%fB0@+4s8UYX#n|G5mG#XXy1mha;^IUl;+dLi$sk z^oT+IsBLwr-~O{`Udq%SV|`Tn!l)nJWHZiX*1XFm_)nfj@u$C{JQS@+^FA=E9`?Cn z|6%u|@crGC{y_R?JK)cSyvnwa0X6kkLR_L8-56NfQA!)hTbe#HKp8EoP53dchud+-y z<$2jx;-2c5}e&ykM*KjhJia9OHiK6wwq?-ku9E( zzU^-4dG7oJ?YP*Y>*T+Y{vRiY-S1`f`urtu>9L0TeLk+2)ywLEH8$$UME~9ft!k3sbBd}TD@uLP5Rx3NuQL0b*=71f;&kgaBpPWy#lSC^$Q1A z@egTT$JLJpFE|dIRi6Pa8u!G0q8icv?PWtZa9L>y{GD|JsozgIz)jgXsDI~1)_zht zo#F{BGTQn(V|I{#(gTXW!LShUpO1nYw*u6!U(`6ud3rjyifaO{qFNviveVzB9~p-A zVhXuoT;`vOw2ofK&_0m=;}-W!AN6`a^;`7_#ZzpvhxIpGPlI#6)8OpMmOhrNO1;3H zq7j&Pr$8Rmk4#Pi7k&=7jxR0|XTIOTbzg6AIjS7=+%>DN)_%bLreB<{4ga|%P`7My zd&KGNDB|m$*)RJ_=PcV3j(Si*osdtHrw#P-d=SxFOi3b#I{ zTN(0Swj&+y&kSvielJtrR4aOJ!|vv*Zrj!27BsGQHL$+qF+bF~)1A2X3xPlT5H`vB z=m9NhyvrY-$LFsU8ezHf6WuphR9l?mCV2T&+s;Psqxd@<0GC|M0e2q+AJ(}yxY{;r ztmP&unBw2rmCnq>uui-S><5l>t;(wABQ?)-2**mAXQJN5e${U26L ztuV-PR*Tk`?n~b*S+<7mmg{9Dp?9L`9?0EG;-0BCe4&2LP}Bp@eQgo^i_^ZR+tfiG zRQBy;A0kK?f+e3lTtIe8k}`r6zM{BwY|m|%eBdmb>TccK>2L8Vzc!zrF)Q% zKYfpo{flBFn{!`uau{HSX4<`?j-wwi^Qzw-X4V(S|2g)0QLJZ>;E`qreGdb z1LC@7{@eER;`#06@R?Zy{mOsFARe6%w-$WBTllcJ(OB>5^n%_*93lP9BJh{v`hlzV3Dj?wIyBzA6N!&n zKLv5Fr+RQW-S^CrS@b>hMGcB`#B=hW(FOY$Kbm!phAM($K{|c^Gy+!_=58JRW$=lSgs*{BI z(ih%(*!X$77tlLPv(C+@@hQlg7)9|seTMi&ntQ@j-38(XZ=caI-4{oX>LYjebAV_fv826Xr$lE#KTd(?-6d{e*{9!MavQ z^J0HfEAqXMMF)f9so-WP@U}Pi+XT2RU-d$ z^gAg2s^%Z?FHY;xsW=|{lA|l(cL-wM0_e@+Y?yah@LTNj{CZo8r+a72i_>X4){!&) zKJ+5T7u30_c*)E9n}y||XNTxHwln%+AmabAJGdB0_gfkI+7~>5?kBwUAIP)gT=`^w z2k6|NLOy%{0_RVg(Q|`b+h|;#UWn67SmSH^m4WdTPsd|4u1NtjFDXIr;p3Jee#t#h z&*p8`{iM7<h0{Ap_V(<=o~cvJjHr+7UiCjn#p-$1jgm~ zE=Qh4!!L6!S0A(PpRPy1qs?UVRt=%*ABKHPx zIrs(6JK1=Yi`6?V-jn{`32=TkxeN5=>r)Q$uKP`f zp3OLmekI>H+j2RE?gJvJGVMPd@6vwKW)S6b?FKqueh-hcdQ+qc`4oEzE*EZ&v|RlA z7IB(7x#7bfmk0%KlJ%Tw*?Z{u&3r-Vw{kd*%Qv0;JFXmVId`RXYD%vsf1fS^ma~B3 zm`Bl}3jA5a47#^`S_B{dj=qnxe)nQiGv%gLS8&yeepe$v+lYF4Ja#J8?CzE=>PB(Uvn;dJf|ZuME!C zhr(apX-fXHT7k>Gv2;J#PWL^%w;smpxciKE&$Q7eNYC8-C=VB7`&zEn)hC}E^n6dm z%p79-75&{YFVcNB=2z95i2sMmlV0Hb@c?kMzDcb0`TxKFn;CGvTY@@p0?MI|xMyqx ze($|94Rywo>Hj1$v`~btE4k(r@#iD%*t!w3meO;E=9R#W8jt;-cWpl%`eO84)yX*k z`?>BJf_oS5Qy=}Z=Dlg3|Er{*^)orru}|s6Td)tyOK~Huj~G4!oSkTZ^`fee#&aQO z2R$ETr7q!o;h*~?K!5&ny7hC4r@){6H=@3MuUx7TZ?+QteA+Vjo7(idCDrvQ*0l+n z7ioRu1o|D77&Hj}VtH$v%i2FR4gPhyVZ6?S&!eo~h}##yxBiWD$MFz!k2)~{oXu~J zewlkP^5c|iNc!x5p(+QH;H)y|rt`zOS)`XeT80J%kWUgrtZqijrayM6FRvDbkF6 z--6h=?W(jwEv0yKu9Lsu{q=qG%kz1@bKTdRIdf+2x$h_Q+jni((Jzw-5fjP>1_k#W zRlc4q-=JTe@?XmG{f3VkJt|<>cf&^o1`%%_FeErAod*vH7!j2I{fp|gYSs9%!k2QQ z{NMiN6he4^e|E1~ zcY6){zx;&zAI`1$~~+wt5k=fAu|?J{TatMsXgHoZ>mUUEizXidcL?OTp^efiB5Y8TtNT@8Ku z2VH0Hg~3M@yLXV<-MP2OuWoqYI<>nN%g}DznRse9SKp!Cc4+*V+NCIh@2+?Kz0@wB zl=+jm*|Fg~KHtUv1zqIj3)C*29K&_usbt>y(LdC#77ac_?P}re%kj8*gUnzm>MWxvfaJ`s|@!LF~Y^3X5jYeaLdkw~*UoT`j+I5wiiO~Ob zD2zVklk&J;@5=j@zU%BUYm({ul+l&Yerz_bcgrfF-JI^a2f8b@O4FxWm;=|#ioTf@ zeJ>V!jkx{eMA|p$pWcgSxL$tXmst^SREo#(#pScquDvF>-juw8b{Cc72Kr4NeUsW< z_cZRm^Lez33OTVJ%#%T<;oteA`=oa(!n3IKPkU~~bi|b_$3tqD!``4j{rd*AyCX*v zsNKu7@B!MZ*Wmj9w-(}-+iT8GPHz{li*dbFe~CIUL%cZR`lruXpB8(Ce6$%IL)?`* zjdfx-Ww}J$ME({_+>0*+y{OY2KJreX6~skgPWB0ogx)%mn6uRCm z8b6u1nEEx3x5#wl!K|vw<9f;5`0Zz|Hp53X`3ibn;3~KqJ9Rqw=zzN5s!4IId(pf_ z6mf4-L*_>Uz)ggLUc@%yes638x3A+7zpmI6-0aGQdhoVogWf!E0?1e zPrf29;+H{h3hl%^x&swQk&i2N5nPl?1owPnh7ecrgTQt1o8Y$RjDgTkZ^67)F|Lz_ z9a|IEIr4$K%`*^>i%Oj6lg@4Z$%w}u_!jHTWZ#>axQeb1z3LJRANeHjSn%K5A#Zm7 zQ1*#Sh$C*Q9A;j%4!AB6J%hNe^Bg{M+D+8I-TPx$ays|sJVn38uL0N3>iqMGi#M4t zkM715aJ`}q>P?*6481ox2HgBzVlL@*ftld?(PQ@6csC0Ejd@*|CYiY2X8wx062&$` zFUFMxcfP3+q?f%~GB5C&>##&^P2Ap1WBxV^>c{@V>(mRn&Ajw5jLSRx0{1oV=>z0J zhi&2cnp(dx;=I=ydRMv_*1I~#dtqs0%1r{lNG6O-VtXGx+*T(956Jz+XQ7koT)SBcZp4p71_!;@_#HS0N?AU1(jzDR!R^B`*G% zg!tW+kaIriUuBk)^Xb!_4PyV6U$Xv$oB^NkkHEdN$G~l?pf>OcECQ|vgd(4M&R^8{Oh(o;qU$!in{U&UgP|#nm{{%kEjA*QGxPm#;nO-L|ak^K&x#)z1rI z9?hT+z-8Y-9M9Xi(ChGwesfg=H(7f}A(Q0v`nOFEGcWir@*p?0h2GYxf$^$}L!j5?{J0)2)B#F&E*XmZrma5<+&$OmS41?#JlcrM9B0A~_{bf@vF==7 z!#?G(23<{t!O)vp;xV=3e4;F?&3(my)+9(0E< zDm?F>`=ehSUl;d5v1U{N#cAH8B7XgCQRG2SsW^?e^s5hlz2H~eXLZ9Fe#CY5?C^2> z0>EvJ>cfePgF~Sg_kM=I=Z53{rE<>TI2#`1`%%i;CCTY>({VB9ZTm9xYg0>N->_A3 zaGYy1&Y$a#1e3q3(gR#PTMxZDe4rZn=ox##)$slt|Bjdd_~+sM-(KT$ulDx~B5th@ z$5~({;xutz4=3*C^FH9R9Kg6lwcOZmWy&^=v%$X{f6VjQKIwY-I)(FgzYpi9j|(Mk zj`I4I7u%ptM5Yp!{KcG}=vU6$jW|uzd*sK?t^yx>n4gpN@jus-kC(eY=dDU3j=auUz>-#BIa1;Ih&`h+j1dSw=o$%K+|oZxWw-KPtNb`dxwGa#2kW z-!B=9&(lNDuc}!d@tZ3vRuK29<%M3{eu?$&a`*WO`bB}P-%uLy$i_pNH{tuKZLtyl z?(j&|p-IcZ`(*w8@OKm5Elf`LSDULMe$%`K@*rZrnM~Z)i-EuF5yW+SZODA;S7)2W z+cLZg4&LI_D?4$ye}cIvW1E&2q%A6AF(Zu9lzXJV*N=&+^-HG2~-j z+<;#7%F5%5@C^e$R0dq$O2)YKozqwsGW0n2+jj=I7~cIy(tDZtKBcC{V;?XJ8h=my znk&A@gDdt1dKq62^J}%xacv1$Ls6c zAN?MSL)*% z*j~iFfg#|wLir5;OU;R^5j|O-;s-9@tnEzxc4t-2^TsRiQU7*c4Xy`6ZyuaxpHEz0 z;%;Fn&QIPFm=}FB`#kcuOF|I8iTxGaPFc$L@vna1Jp9lQb)^QboKJf3#Z~6lJ3=oe z4uFr_m~rk+J&$ULsG9R8Zl6>TpImolSGKZ0eA2F zgUcW9MH082kAusV>%c{%hq_h$4}ptZ@4=n#W9Y^Dt;`!u#dt;C2{;dU>!QI`qbBUX zW%79P_s)m0erRKGFZjj;@O6A{^p@8IH=UP-AL-`0otIzC^SyX82} z2aU#}-=@{kueUHKxNG(vbz*vP9oo+CQCDVP5Y7+YBtA#Uyq{pc+<<0*3H75} zhoE0EWIOgfv8@%jUGW*XO}svue7p-!;G_O22kwOp2nHX@_iJet=GUZ6@%N!PA69_g zyjYKQ=hcWCPkK464Y*x>kn4YXt-s_ z|8Teu#ecF3xbA(J>vs5_c;a?wE%>O12YFrCr6Y-p@L=}OaSz-S%+!&%3r+&pPY$s@ z_P4gl>0H(q$d3@;gS)l$I}%sLYjB>QDCWs$S`ycZUBJDVOzbnZLUZCar4iz^-yGmL z|D2xalg?cxey&kD2O$4Cq&@C0YF`5Tl3qn5tk(^V*hb7?;y{*XOAW1BThBEOYM5$anz6AJ2DzR>svxE z236$v)B0jRlm$*g@1|DAbDZs3>1Wb=RklEHT{OoN<`)8=hb z#V~NY&r|Z4hgTYn353rBv{C=o^*(?a$o4x^DMSO$jag}#9xVu{d+?C?zVpsAw zxY*x~`Ln%YQGkY-(B@Fe&3=eh7YIsy`UEC zv-1|>x0!pzk&np7b){an1b2V*izn{2j6@#vjV0&ldNn*Oiat$rB=_5SBiC)QhJ#2i zM{qnYZ7%yyE5y&Iuh&5@k2V0;Lto>5{$H>|(!O(h?f zZz{(*JOJ~ql47yndey4J$H|QM=SgZD`KZnxqkdFMBJRu1e)kLb!)W%|@r?5s|ANPR ztRJ|uUt|61+(Yo5(ChhvdA41cUoGGAKL6D-`OB^Y5s#^M4eMR^&5ir4 z&b*0z?xvz&^UFz`_e3M+`t1;mSJc~#x{@`2h2Hz&4tz|~S%W-OJ<9zK%bbGoeA_IT zKE0)rIG>-rK|WRX$1%j++nvzs{C&Vho8Fig`EEJKncA51{CiF4)xjO$>hx~(EA~{y zyr}1c;Nwp8=Q__FiTY8EmVkQ+qrinJjd9txN!)MjH1PEQKft)mG6Qah^ZN&*%Hz34 z&Hsb_`z1l|60-9C{OmHgxOScU-SMOg1y`-tvw!aqIRB{1A*?@l0C^Vv>lcyU zMO$#&{%7dLg?+)qb-!?MId?0#ycuPnU+fQVZXRHLrCyQ5y~kXKruK*%K6HJ_MWcw@ zW|N_JS?}X~Wj@^xy?Z~7`MFu(-n6^OkNSE9`;X=49a*C~>o@fWmyuC^Qm7Zvz@xM~|cj<{}o4&3vv4}am`6nPN0 z|7QIzeopb$gkfCfMp3LI{VlI|QQ?EFKIGqj5A>?bVf3qJo@+(^vfK%96MhQZR5{+A zxa-{$+!dIL_2pv!#QHL`s3mf5yZ{bjPpiRQ`}F@k{#>9OZc6A z$|Pf#S2vhx&j->Z8_H%n?I@jS>zYHXcp%RKB4=TB=Augi=Ii3rN@X@{*&t=*7qF-H{ zf5)-2PGKHp>>lQy<;4DGw`5I#&!qA^-ezOqBRi~JN8En@40@F`66;-u%v(v^)%JK? z8`trDE#dhp;-*7>*5~W$(RXj+37liS*3}WGXy1*;HFC+q3_uCD#WL zw{xzuf61rFoAt{cM}F>UZgB6fT*!kgFb?%*o7`rf2bGxr;yVfYhJ4@AC0_7;Rldko z`u`cT^gYL!xDoT^?&Pzim%EZV&IacYzbLR5{@$xr(94&t!R5(wKayUkDd3`N8uBT& zE`yJH!gcOdsfl>Zwz=a;uM_z^sUCg7^XQX34E>%Mjefm+{Qk$>DQ$?`WCwqp`4!*C zv%On_ezS4?=u+{>kBE;NN8I@Gxk7v}7(D&|JH`-KX`CNZ!I$${v`8p%?=wEHis!w+ z^_v6e*Y)6YmrV%;S9R}ABfXrJhIrJ(_8d>#(nR!ox+3Rc%Ae4?u@TtEOxArEmn~4? zD(T#T&%=}HGmi7%qA&7#>HRDAe|476X|hBC=taH8d>=`e4u3nHfB*8rx^Vs{@$-=> z^@8)i;4PjnRKvYIk4-J+OLfZ974d)YnB(ut@6F81U)K{Cw?{!QyL0?%_DRf(I@+A) z#b+M&CA;}F;t~CF!AE9a2!H!&RrG7B@;VZ;u3}tj)TdZSQqF;o`|=^`P|oi*k@8@s zEC$!b^5A}L-#<3Q^~VX|>K6YV?dl$%0=}2ellH_C=%xQs=;hsv`}Oa6I1eMc_b0tK z?=8675#58hyL2DiOqdF;(zJZ8^u9hUlo z>$deS){k9=cs%p86ZyE}=Mj%LWEtX7JCkF{$E#Zydj0A$d`zrA@~mca{d>R8Mt)>m z=`N%fZTUUFuGALuYofneK>nuv81{KH9{Z9PnP)a}`CBZwshSz{?ph5VK->*!j(FVI z_B=0Hn)1H4`7Zl>`408q#S}n3RmY-SKOYK?XJ6WAipT!mg?YZc(7Tr{`Vn{a`Fx_* zEI^)hzn{tz7kT(OQAF|Y+WNE2=+`#chJHnv?ub)g+|!5R6n^u;y}kUt%LTN>ym*5~ zqhHl-72@~u+`;)lp5^n2(EYitt~ZUOex+X^>$4cHlPpE1f)9EFu8SYwdhn}`eOu&> z<8h522EEoBQ72wn;d^wQ+FJ$lCJAlXK!~Ykoa=f3K zOxG`;2Cf?XjJ%0;kA4K79M8P)VP22NeCB~?HaGx!S+_mvN8}mP z#3!AL8NBX9#N+ey-Ti&AEPSTDWPP(E;I{Th9jRSsuZj5G^~0=>Ej$W7zP-WKJN~~W z*Jt$<;`Xx$a4(hLJK3nyKM?m`7DImIX8ylEefP~;aNmsQ(8U}0KGJ#LY~rqeUGBH* zU*LAzqp8rxK1ZB-0{>s1_o(j#;O#wF(4|4vO^E$Pe zxnHkUn*rpb?tOwdP3sc8j`lvoxka|*=Q0z)&*QSoZaj~RNBp~hI#e9%OC_e^{Nsi3 zIY;c}{~z9b2dY^H=eZcSQ)Pmhn z#9bio=k7`w_;^Vp;4hE)@I1!xdrNs^GR`NaO?Pl}t19xKGkrIn#w+^sJ|ex^?dTN1DkPO-s}YK#`kRmztw+X{}Q9OVjmVAhJ}(| z6&n_Pz^tZUO^5Z1LyzI+aTev9C5`nG6CKJKH6;3_5_{^oFw z5b&BO&ywD&e-G>0^g=aSyM_zhgNY=!Z9X?=phf4Plm7>}7|(D3 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/18/0.npy b/MP_Data/pose1/18/0.npy new file mode 100644 index 0000000000000000000000000000000000000000..85c399aa88ba17bcadf89f6084e915a4d187ebc5 GIT binary patch literal 13424 zcmeI2=U>%F7wyMbVu?Mm8^;)X@6o7?yW3XRlZT^D$_Fmqc&-u0RKo(lwdx-zwvE>`` z@{NZ6RK5x?KXmlifUyHd4H!Mvdx+z$29EF_lFt2q9q2bC{e6X+_3G8CQn3mT=l{2V zIT>U2=$X47>92Bl^Cb7GN839I>92gxmzVCnDlzCD_<=3g+$-<+<+f{A_A}bW=(E&b zWEa{+*hjRRv(#?#HN5XWXSbZ7_I)4FF0WF%>{kr^tB{=6olZ8ag?3hw`WHPm-f`S~ zZcgnZs#ALfYPXYmpj~tbL%Z>>iFVN=BmRL8?z_*6b3uuSW9`_h3F+_E6Y8HAx^~-f zwkHJRm$x7N<=Rav`n(*u4&#%l({DMQIMv3wcCnV)+3uGVU(brkXz%ne*|n>6)Gi)B zf9$xPG=cI|<>V>XZX-V-f9CdIDXv{LI70m_lbc*SlNtTT_kQl$#fzfQ^937^x^~^} z(lf_xQmd=(Rr_szf!8r}64CyuBlPTS9pdwjrMh-=webblZa%N1@pLIcc}tp){#7~i z%C+127x8%+bQPZ$^?rKmKCj<-U2^R_-vi`J4gLr7%I3u&kGk-yH?Cc8jK=46yJ?7D z#T3Ek+1nylT)S9(?jPsJ*MwqTgwF!&-rKtQ@p-|P;`65eV~kVxTKqrPE{ol|=ss_c z#iBpEZXDvU0XOkpoxXzj)xZV#ys9zr5k7bL2#vpQug&iBJTxfCaWQNt`qfE0sXb4f zEsm?vdm`N{3rKzFUUk{-pP=`UYZBc1XRph;_q>iLK5wr0qMbd-n&7yS+se3CdF2#+ zK6BVtBK^I2^bzA`od^EgB>lavwwwA7ibOlF^%LI9!rqCl-A>4k_|^1mnML}0)BF_L zZKcY0UAr^~@Lm-7^p$IucM2d6I{V;DuAL7(_rS$rTCbze7l~bmxW$|ou3harO#17$ z(5}57hq`vV{@gQsUYA5&n3F%FzHM^#`3bK5+1FIBU$dJ|uQQ)scfeoG{~O%+%|qSl z7yF`|p66(Wb*So{23Mb}`8z+`Jpp>bYhQEk<@#TKhriEW;;#l`{jghYW;-rE{SK~* zXTRk1Y{P|c=(Cij@g~ni9*k;$aq$@9Jn00u?09&N)0<+P^re!)b?zlI9Jil;1Q(6I z#kyyyIj6(_UIlR5$qQWU$^IMkDOJF=SqE-zO_&M&uhogK{RFO0=Y!rXBCfuffjX1_ zZU}aIwm%2y`*g;<$nd-x{uQoK9{TsDd3@4s5&YLQKwYS7+mIjA^{V!8@lU#oJhKax zux|Oz(eH$I(y==@d$h5c^U>|9f!me&!F6-*ao`8?ARf~` zmFDr_?6!{E&$FP{osVN4+3)eAoWEix!R7Toz}1s|K8~Ayy}?<%=iofG-eAXhRDI$P zDpLLY^uM&j>0I8*1a8|cqIeERD)bvMoZ@LR2o8P-nc;tN%4Y z-pq|~_{g#4V;wgO_JK>!mXwFvgJ(kj?hbr-+o!01Ha=~9f{U|W3i@Roo6@@L_YU=@ zx<4oWk?P7UDMt17XazXm8V$XubrW2d4k8}=3S7{6<@3ieqaeW z8(0op#g3fh^zxUw;MVs&@$bv^N1PtFz)knus2|gJJJzYWbPil^55&0mwJTWH;%*}4 z$Kx=~<4V=Q!;SaFPteN><*?pmot0te_gQyv-o7aLk9s}darIq$aMkYw{B_&s*au8n z1IlOn640}*>l!(|4LkNN@KOZWgm$}nW=c+RvYJ&G}H|Q)a!^ z)^QdR4}X2z2b>?=waNLj2NOxZW+28Ts~?~1^kV6D8rK8`u44;Q9^SPjULXKIqFr21 z^cyh{Tp#F7{&B5_InM7qruy7;8+kAj`guEUdiEgwm_gKUZchCkIZb))`w)6wzZmv0 zK5sv`?lJ_N{n3E-+r%#5rg{SQRUUV8kn`7pThK2XUjceOV0gHP<4M1he(0CW?!CDF zpK^M2mGUE-D&$kkZ9%SG-t>o$XjT$jE=-+=&wc*@@r%bRss3jdo#%XH_8s7|#|?0K zqaF5t)^7&5eUbNqMZeFZC=Zb#$b)Tgkj{%vlpm8g9C{sI4f~9pFp_*42Z5Ug z2K%t=J%sp)cEodkI~@LLw0^Dc_weTv>MV7fja>yjUswow6;mS8ahvTVxElHuxb;by z0=<1r{#9RMT)JL6)FJQl1YB&5#kpXo_>Oma(eWiXYm|rXCG|JaxikG0=?m|Gzc{fM z=Z;Jx&g%`Jc=rE5=T4C~q`yu325WS0n)Bx+mw~Hs&B>=#bIc>}vJjlr=mXAjO`V8% zIGw*b(+uL(drWp*KaPanTrl9K!#AY=kM<4Q^Cz0$`w3XTntM_`S8Pk`!nfo$k8~g9 zk^P=~6^BRBJQk=!=iQ&=FZ|oXU+;M~&h@K!2*p{jFSzp9PxCnc1h}kygnV9fh;n+9 zk}>ah4}+Ux2Qe>l>p}9lyNcpT8VtR9n1y)QV(d%yYD@HMTJJ#ptI$f=-^_=$W1PQ? zY6-pVS^z#udthEvlT#S43Y>`b!gpVfaN}f^v%^PJ8A*?dM?!?G4 zs4E>x^(l`wMLn22YtXNl+<^LBF&KL8%W=Ng<$1wH=qXyKfr-@&O1AGwYn-hp%46Q)>|1S@wIMN==IR;bk4@bp-$BPK;kDaAfIyjFG~}gPwWi%@c!|X|1J4x-`Gq3Z23HJ z-K`|{8CJG6*%MWy~Qz2#jT>LV$3B`Yw z_AAMf!oYotV!XWgVZ>wKem%kY=x20~(nEcbe{uUX)}88+ah?WUy5)2>=JFQzYNE=* zU#W@kk*|-9bX=8+1~;odB7S?5uSiJevV3>yH!$P5lJ!~${fJ+{#hFIdy|=leHD1^D zqrB~Hfc%)5`Bp>!>ND}JIZ^*Q<@hqkWwaONC#)vL)60Lk_?y0OhdVCb z{fjtR?lH7Z-zG;Vxc<+TB;L6*@?bL^2zOlHn+Sh4!yoy#)_Vbb%7h_)_SaMD_gGjD z$8FV3G_EehS>Kbj9A{T0<%h*!zmn@G1i-&*0{m@CC*;|5e?WB}c@}z`Ej!xvfSn=E zN8c#`uKqht;|ht2LceKrzMBtG;QDsQ#g5CabWX9KR%0Kq8^%s^{n{NK*l*S3&(Mp~ zR|Da{?Hb}&voB*@+*WG}pNKEuvVT0dWnTRpXMRNykC?m=oGmJkJlkIL5VsiA8(b~^ z^LM8=2j0NP&MZYfv8(VLAzK^;=XWxJ^So2qC8X}-jmLbi)BN|rzXui zSBD?D=VF=EmUyx^^rGqE{;pp!qBP<$JD=blBAzC$b6h3R^N0yZCjUnf!yIRya#McF zl*hcNWuNA{e%Y|WG~Qu{z;#$|oa3@_#yQ1WQ(g5NIN#}2jlZCmeR@JK>v={wt`8jt z*TFXsk9u$vKI-{4#Ls*hV_ww#&U0Kmwgufwb@%Z!?>+BMa$HP3P4QH|0?tQX?hpT> zpJ=>Q>0ZHBc&~-e-0w&~vlqt8>I@$2xLP=!c;aQ$IiLO%aoT|bc`(aQQk@(R8tnX~ z#|Y?I?N{K;yWAA`tc*avtU@g1ZRwFX$N7dop*LOXQ2qPtne2RQR(jr1vHii#-3HUZ zgZ7dBmL~q88S=wk?F1M3Qpx8=cj(#AROhCv!v3IA1IIfb(LES?nT75-EIKg6akKMR za5b(3`DvZxod&PVuo#D125GhMrBolI-C=|LRg8d>$3Ue2IWr7_X?a80(aK zheNOL*P?u8zCX?B*f={hSX%ziQSu z$Um=C7hJC^49=rp204E=nVwtuy>g`g_zL$f8=pq&Vo)pE|6f$?@A_f?(7f1XyJ_7W zXa|3_jP9R0{tWcu%GWjFKV=bo?1zhVzMPxo?>HA3-xqfti+MDya|b)F+Xq0eo;?Sb z*T3X+{fgHYFkX`|h2oE$jyUCwF2vKC;T&NFf^iS$Pma@k4LXT^y=np%XCwJG{Z=#M!v#@YS>~%=tE$M^W+%;#Xg0(){lD26@vy+hY>aebhl; z;)Pp+Gtb}!jo%o*99(AC{H7iu@BhHfpbt1l#Icu@x7}Z`F7%;^lRVP( zHnk-(mql|#IX$~R4?d>gVCYp~4y;p=Z#THwk%i{*r>2+}7JeDrUT8t{m^XO2 z^D&opf%7_apA=CIh@EhiZudVm1N4lPk?@K-}Hi4TB7g{5p$$rFN9s`#b-(lUUQuO^2dp(2nWqug# zd_-Vzs*@MLg0p*BabFdGd`tUJnWxAzn^9{i{KG2Wcc0_AE>OL#n~!^oC{Y`F*1b03 z7m+=&AIg*?&@)-%iu;_7K8t&W6`K4D(f8p(%5i9aeVKT-jPXWv2tj|BvXD>ASj5RI zHHZZF^`LmBXQTK{;w;Bi{s8!hJE7nzOC|WrqF2HBvG1t<*T&*LW=gCi-l{6NowIL< z^ATIK!C#&$1}^Tl3U*v}sR(YaH6ow!O(&w?Tcg2Mr9l+W{Lp#e&tB5FI^@MZW*(-D za9saOzcZRkYv3c3^WdBk@$cay>Lr1**X=eqy-AFtehWP&{rQti9G63%k^jch*iZQE z6cOT>YE_`O^6#i@?-i!tP%do#G&nj^$<(eDem?okc0#_jz+{0-n3gpJU-;%k83lW6XQ(pFDao zxLLUf`H|-v;=U?+M1%8j&1oOL-V}KdaS`yBrRcn7mv5oo#Ktnvi_i4?j@ss_T|B(w zJMuSz;yE3IdmtMu$mdySa9MpF=3R*C6o0{LmtFkad#iS@l9h#zto8|d7P(-u^VjeE zsNXk3FzCH8^yK41QJ zzQ*g(Son_}g?`2McgUw;U%Rz1h+n{hDEGqnwZS-U!ZD z97Mlr_Mw%I^Ap|CuUzMg@iNa9s2@9VD!4i54{p28#rMg!_9k#0I2l~eOv8GS^@daY z>q{cf=0Q8$A57jvaFwf5ZAAW{EK+M>)@*CioS@y<8g4?l-8X{TkVDTYe{fD z>^$aDe0#o2~nf4PNbRJv=W%EbBxz

    -~9t_g@2IaqRdWk+cpdQ#gg^o9XFK?>Hn(* zZpTeV{5*3q>Ayr`y|A07;jgL}z&g@z=OlT!@zgl9)4j@_TcKyikDy7 z=exhab*?4@99IQef}6rKG4C?+3)Yv4oe8dH&~q`H{gZ-EK~He)HI&w)Umnz(d9o2) z9Q=U&P4=(d0R9)hqI%Bdi8yVOT!TE)`(?}NT+`R4Qav0UkNt%As{_3pKjMioBfEbS@yNW(kx!mKUnLh0A4b3DT3(UX z*T$NtbCEyeciz+f@K>omkxnn#*MN_zbQkMd94bB9akGW)8)A5CoTs+W$7wDeH7=gw zd_do?ss=XNaT7%6ojuzRdQ-7-u;co`VCdQKPIPV-Up(7!d5Q9@mh?eB*`aSk5*&XQ zig;MFVYFYZ>AuKub%g#eN8Twy`M>@R_6J)k3jQL0GjM%B4ClD@`i1z0X!3t^mhK5_ z=ssZlmV>JS*8^NUYV>N#LuPuev>hJ!IIdre02lF%ptru$8iLQy3~t76zZ-oyl zGZg!<=}P^YtC^u!nNBW1zooyW^%zROtIFAT(JxEs27mR8qhH=M*mixI9uA`x}e&U*kBdSseYc+F|ff3W=zJ>4+(-`qKz33kJZe)bh^C!g-C$|HTe^G5(bV53p-s_1k z*+>26`_;#BmHQ%mm`^I@|HlnooGhi^YBvLLLE1M4x~6W{r`hKauj(Jp4;Ki z`@KV+)w!Naot|9}fnJoOd$k>&6a-!&4qTrdfxPjQSy*>seMWwUbt7IZQ?S#^2cOBO zU_WqGwxB{hVI|P7DjN#U3Kp9J|EE+BqCqE`_xDxt9IDzDf!?%uLHZxoVjmOxw@^H7 zs?xbrd~Rfdi$5tC+*Yxa|DLDjI&M=k?rAZ_p;x7c;T&PX!4!{gd*oTRXo>vW+fBel z(id=1;MN=$r(G5ge?BJ;^QHZB)^%KbbsKsXTm<{M`0dBdj`JM@pqFP~QXaCj40GI+ zs6~7-{r?G%--LK{cpA8Qu@wGxX)WxxJTI*ynS3APQp11W=zQ1`ns<}`HrA2q)F2`u z9jm2N;G<4wrFfFxAU`4`iu{{2C0_B_B&TP4W58|gIpBQLW#~=Dcy-TjkOv-gdW6%< zLUfpNN~~u&zzl2%HN%e>wQer?gM10tWGmhLyqfyuXoWTfZpIaT!JTF_S|7kD*TQ z80Y-i0J;zG#xWF6?SLLG9`*G}#KSkQK|IFyFRTmMEi3#@Rr>!&m2^4G>Dm4Z;Ofp? zs-Jm-e|G-LkG|&@IlAK95h}+*r#Hpvo@t&%Vqdb$IsUIewwp#iZ!=-uRRJ%YX#=Mwo!4b~i-2NMSHa|1+!=rEXa{m0&*U(#$8S${OhsHR)=-r(7sN<*~bM)ar z_?)KuiMg}{K6ZC zp}HD92tIPgCd97~

    zX|Uh044j3NKTh|o7|Z3U&fv~}?#QG0b292gr@f+kP1sV3=jM~!J+1xW?wFSjuYx?X z*hb5(j&qFkWlcZw=jS&Qz_-yomBmMb%fI>}kETx^=!n#*(9xx~VqIv@`S3>+ivU-5 z2BLnyh6-_gGJMGIxeRWJ4;A9~zE>{p`iF62v%qk5A!w_#q+ ztxxl;y-b}1|4jJl^PV~H>|CQ@`;_CqgbusnU>!M|u8y_#>``aZUs#&fY07ETk7zrV z{7LtuejfwIS$iiT5L||rgS{B`0OyNn)(+e>?ErlPNm@PkfaR;wIw1!2OfyB-D*)dV}JB?dV*qqkr5BeJ9^J;s?GS z4!(=-nNAzJm&%IOeN%JnMdUu3SFj=fI}Qu9Tuv=QI~Jk^=vGqzoz<+4E|)TeRJk9y-L zU*o>#&5xX8~*UGuWhwDyxU~hv%QM)^=x&RotN0w58SzO z2>$498|b|5Pv@pc*h&76=n-Od%spCPI^-3`Wo@edYIRJdCbVwf^~LyVR%u$NXQ{57 zrGEQ?;`(>7m6mH)`u!u*-(QAqfrwx6-0uT_%)!xks*sBTmWw?< zQT*@IK4TtcFH5yNs{#36?+pBxe!HVBSJ&3VA6A6!jjUPc`Bp~{r~O(vS%`xk>)s1G zwfE3`^L+$Y1!m%2ZT#qb7q^eVe-jxVZtYoIalFe`cTf*zP*^$sl+ zADS2MCN3OLQT`qLF^>{3F8`_#^_$psIqav<{>IDI#Xg|-CE(m)UiAA>G(QP@>F*7F zHth*?^k)y@ziI0~!1^g`eM`Di49#m!!23hi{|1f0`RR?|;&{+6c3cs7ney1V2DtR? z6l=K({2KP6Q)zIW(gShR>n>qjc`}ponEo%$Yp2i(aHsT3;`yGAvHpn5L&?59={URI zkFZ?5Yz1yccc*bDW_APLa1eFOs;z{MuF`y?^+&JuhP}$V2YY@awu$9tV-M7c+QHCI z7rZ(jI-{q+f5leNx)|9X=dvuf4cy$xq;)rL`(kVF2uAf*wl3_=g(RFWa#>N*fA|Rg zi18uNF$EXHAMJk=PwrcGp7lrG&BnWk^T0TA*{2xGot3v~T#wvya@^9sc3hr00d*x_ zcA+}_Cr42b&=JP9Y?}Xc4IEJUr+J2-0AB_ z?}Fyd_NGj;Iyxm7dDk_nW4_$A7Omf`=VV{7AJzN7g4o~8zK7sy#Y}MSeGlido|6Ht z4_^Z}ybSI$^7|{`BB2b$=i+JDt2uO^F;T<7nb*Wg@IQq7R*MIc{;_U!j)z8)&MNZ9 zZ0s`G+Urjv!TG=K$j=Q~;Oz7A;4I)g%`d0|bWFb2uyb}dr2O7}k9}Ux*+u%ZN6|S_ zQNVxQV-oQpRJW|e>_K*17TBG5!+OYzxiqvk{J%nZRTn%d4i%P8v|JQ-~3BKQ%_d-qgt5Cmu!MoN|(f5kGep{^;Ot z;41&W&{3^!fjf83g+kx&4cMHDH+B!T<+pN{l8BFIcKhU0Z z{_}zVvg#7@=fXPFgNSm&JyzGF{egX;?~2O%IPPh>%0im|!DqDZUG!L*nlr5IPv;je zP#v62k6LZHIYReFQ)Myj!##eXxSf1Rae4SN@jT&C)?OW*0WKSPfs0{D(U$9hO~KiP zFmRdB6!}t%^Ai8|B)H>UIvD;uOhQ~l`G07Ao&J*IQ^bYhv-dxm?<2m(Ge_U?Ee;)Z z;63Wxsj$+=a-Kc_Tn4z4{i%;$R^M#g1+F`P2`(?L#CI4c!v*m%1&>3A7s&Lr_Uf1b z=l8{hRc&qi`P+e^dPVHcs__w(vsOzx@;X z^1>gmSJjFpVB8M5_krT;kQX&87F-U>f!CDBj}eL1o?m)R{!cvuF6Tsp%QYK_ zSLuaub*l%c6WNEpgE==DxKm&P?t$8=g!L|pRsa{@^;vH9^{qkBVKr7!UJgwi;A!Ji zX$H6+d7AdI68W(1%jYKAD>f=`6Sk9scOYN#Gxwf%D+Y&m8EmlR*nD zS4YASH)mUQ=qRs~Tfw_l1ULB`g0lygwB_PL5Ax^z$?Nu=SFYdOKIQK96o)ShVI8xm zWAjsUxSpLry#Hxh-=iGduf&(n!1GmmwFy>7v^@=b;eQO= zybp-ATz+~`hQeT0rUyXTVa@BGsM=R2!%mUJeULEZA#@x!b=U-pss->so9d|qNbnpfH2 zdh7$}tBRSphp=f`&{r8V!JXBeXV`Ig&q(s8RY7pptr+$PR(w3{d3OPS)GdL1Pt-gC zZi@CJKQHYIw>oN8G31d|%Q|o0#e<@2?Ng78hQ3()7WTSUT5PK29WH>&ZzrNo#HiH~fG!%^&uI=TBU%T1e$&|w9VDGs&!A@964)roBV5!~sS zC*F?hv~3A}XYe)XJ7w=rg#O`5;Ofo=%6n)ztQQvQko}+6vEJFYF;lI*^3IKaE&98o z*x3SgW%d+?z3%LT`I_PzBkZ`kh8yXxPJ@n#`(v`@az{gO85ognbxngn#8WD`O+(#2V9`|%^S!PQ%Xan-6WYb;lOYbkC? z5fld(gZP*WH;AXkfyJ{pj}EvT zc9iT7y98M-emwwgLh0VlejAH8i@9@&FL(%hb@BziN14;x!BsII>|;EAS%}r)hj);^ ze+h6^+#PXHGn2qsI(_%zgQw2KxOvxsi^O4=mve3;e($KYx%<*S4{&kSE!Ntb%uLwp z<8R>)o6OQYtIJYs&SPtYp;JRMR8s_nz+lrK+E|6I(HnG z30NFVJ=mrI)AtVT)nCad+rthd#8ON=(9c{*xy*m-8jcZ zj{x$g{B>|=WSL;=r*`=a+?i4b^}y>T##nz$-b3J~_1D;cPSuEjqXuA@3)p1_rL=3e~Sy&myREgebw<>M)R%V3VoJ6 zINJInTWfInsSVaO8+Q%$sXvfEvgo2KR#zNYfqkCusgAs`vNf+-&Tjm?!ak)d)ggaR z-``k$rYu)i9?*P4CSQim#m5WK@8KGZtCNyRr_{{w)Es+JDTDlJ`W3Cyo@v3Lo-wQa<8W zuRuqf{5-_!I1AF?k8xcqRZG!1)xOPY_|x+n za9-*cio>&&OD&gkLP+P#JIq(c_Qt)G?Wgm?Y&s7=`MtTJR^N0Ef{ycbQH;yhrtG#l zEH}R*x;gxGy3Z8WUj2~=^DGYv zmRV!%od=)bkCRRJW&PRk-=LE=m+WhKK*t$cc024pwg%_>XrJe;j^n$T%Igg-DqlwZ z%eJ1-QRiBbe%?}dY=7DD3*2K_6n#fB<-Wyw7fBsaZz3o^#qDwjj4N*?%ha5H!lfJZ z*}Ha_FW(io7Jk+l1AEml_dXxn1ou)I(Uf!o17L4_4n|vh9Z(xw%>16>kR99Kau!T= zF3!dv&b&?Z8q0+TtqXoH5&kHkK6;!g0?yK-SoKt9rJTR zaOY?c{LyDiM4>%{&Qo(?Fy*nzSaAOAAmz7pKXCa?68z_n8r--2)Y{6ZA9kZrqJ4L^ z<(|tef2TSRY>xFM#aHCd<5+N+u^Yb&^o{1==4Bw&Ve=W2tqyAuN`4-ozx&G`#bPZN zj~0XL^7Q`$S?9sCEZ081@W-?tjl7#3mv`PhP~Q+Hs4}er0<7gE}$%);!Buqm$5Qy}S@-73qTbi=DJ@OW$OQ z|GKvetv^oMBk0R2qmVCNxSo&Ysw>@p_`TMs2WNf?>RhJKy~3GY3h`IP=OZs7-wg7z z$=|fz2R4D9+MDh(yyQUW%VpcK-)gToiqE6{R9D4LY_sFC`lp~{#uubIth{xSotKk# z8Qe*sb6m#-L|LwH-vbwuBVo@r1V>x0W1{yBeDfF2Wm6 zgwF0yus32a#x)P>)VAFC)Wo=a+cv7J?+#*J@Q-~+|HM1e8TeLVT>sMW-$@BWoj3!F zz<;)k{tm+96XB;ixNnKIS9xhYvO;-jU(Iqs9ZGou`g|PyT~Uu4Hr(2aM5=$idKU6! zZa2ifXO`8&xHA0&>cRB8TG!g^c>0~_T&x0rbnl{*Jng)SB*UIBnVnld;W!_a@F)Mj z2}7LOv$z4)o@d?%H{Wd_{u9T3<|f5+%RtPFhrCB!=|d^d zVRc`@e|_f#>REM|2(GHreb^M(jeUSEr+v@tSc|+kXS3+szto@Vq0J%q!|R?~YyDJr z-;z!k{eKYEwjJt(_YZ+R%dCey>Q@`^9e}4N(7bB-g3IbV$0I&Ix%cfIzu>%fvRlO3 zc`4^ln%AAa6z3ze6D)TEUVy7kQ^3WgQS&XAUG{;Cj7&Q3{)$VqoL3}$9zypA9sIF} zXAalxX+P(4{=vS-mbU3=Ijb{(=2h$_xY>N4)AajUAHOlKQj0JyuSVI}Ovu{L{Q|H~8DbDv#^Kilyd_hj{gelM8hMaZMt`R$U_9DOyC?lUZQ z4D98!JCv90v=8%UXTiDWLT&BE&W+G_icAN0Zl|xbTu;76`Tg>5aFsNUez$I=?+<#` zJ+kk!8~Uus1lTk00;pS^Rc4vh;SuzEjotRee4R5Jl&AGGYZB~bk6*#rqevgidGE0_ z?tkTg~)-9y%Q?q#`iAO>7cSVHIBo_Dwp zXs-cSpL%%|_IdGX?l5bwlIZ&^f7b){vPdQDC%n-Ks{8(t*yr_?Z=!8|3cpRz;r-iy ztHwR>eO{l7!Ftx&qrr{$G@LKa{!7>g<-PkD*BS90&Jo#+{{N-=H-pZL4hJKxKC6BZ z>)b8T3imc@6HNI`*Hy~H=QQZ zA38Gk?@Yy4LC3UN8Uvjgw9d^lZ_I5ZZrM(BFSeT21(){`!;RRN=+k)c*mL3+w*? literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/5.npy b/MP_Data/pose1/10/5.npy new file mode 100644 index 0000000000000000000000000000000000000000..2a54735d1b63cec7e34816b84bfb29c6598612a0 GIT binary patch literal 13424 zcmeI2XMB!H*!D-agw@+Bqekym-DH%FzDl$uxTNVN39>{O646T%B|(@(w=B^XLB>W| z)@mW5tr6W?ov7h&{$-XZTje81lAboft?yJG#N8@03WiMK5`-=4?# zowosh+IBN8`};+nVf=c;!<$y8tF60Z+l8WbJ+mmq-~Z?>_>_q?wq0(db`e(nk>zq~ z+xzy(OC3FB+fCem$gc<=kGOd08fX`7Ztp|;TWV(?cl~X@XF7cK!al{daw)dmX@21W zK3{x&(mqv%W$<(6l(}Ww)t{Mk0r5A0xXcC5g)qtNbSG}VUQB#y zb*6k_eBYVyZ<=j4k;{-bwbkQ_ZI`o0(>!`)zC!z;RrtOWcM#)unr?b$bt0xjs%>YV zYhzxVhiy<-rt$~)v0a+te;0!9o5gjIC-!vXTl;bP?NbE)jCpZ#|L_I;R5<3x={Bwk+W%O2!#;W2@6pcw`LNY~X8C6q0gs=8 z@0&lzxmjK03w+-kx8JqEa`DlD@`+dnmkSA6y z;sV-t9LD!$DIc^uM<3%et2T8X+Wj2NtMvXRkNrLi${(AY_26Hk@7Q*cv6JfdL^HH2 zmr|%N;Z-Zmw(H40$g?Tl;xCM=#gPcnhx5PA!6eL-G;FThqSt@bLo6 zrN>C<<%@aXa&YIxma`wm5HJ2W)y>^d#IILn^INVMw<`Gn{?0J+XT<`+`Hy#|qThuB z;G<%5U|#s1M+xxvDMN9-$xr<8$<>xSOLEb8F1J8_Z~m-<{F@!c!Bs7nu2!$d z$3ic<#9*|_Mx$WMotS~dTOTKV!5iSbbOUf*Cm+?1-Z;wY<!+#Pi zXWd-Mzg#==pAb0Da&zuE#o1>Pt=k)`QE&WSDa?yF+??vC)vs80a%eSh>Hh-Uq|K#z zOF4=7wD&Taw}0nG+c@R4XmEZmlk`;1UbSTZsoD}4r z*B(r977fP!AO^%C59($pxN+YHA9+g0SRa020=VAa7hF`Eg#760)o5N`#FD<=m(hs7 zXJLx-RTbc#0BG0QMZ>^A2GKqjq6hiIQJXkW4SXVKaFeF0;-F_^}w}93g$__Xh``# zf9n_cFW5!?vs|!FTp{q0YYM{O31|j?QROl6qw8#hUTtYf`)bE)l+V>J=k9}4Dx*F?I_N$@!K^z5ZpPI?9@Nxp(6b1CaJFeSjbl)+aW+n;%q(zc+)8lSJ+DOk9fHAm zm0{p&(Uc&|O`WUc-{lDE);XTE4!l4L=?~R{UJnYK4gXxPz*Thi`t`gxAO1^RY2Ee8 zL;7Eu;~X*PicPc0gXR}_Ciuh$oZwA1D73 za9*}C>7Ui0JiqP=?vz@9yy+83h?B+AcuhU;aO)$N?xAt5nMVHKeTYE(V>gk0LL&M9 zTM+ZE8>}MzaEeFn>;t`N*&SRZRiycCa};_N{~Y@;AHD|p)Ss^=x@Yw(>h?jLyjFG0 zqloLY8spkT{$|N=if8HiX^3;iQu2Q?h4|(IG>`Lhz(={xqIEYqnbut`+HYmODd6UH z0M2*i@{Yz8G8kO9`U`reOL^i6Z?NyF`6bA|@&THs4^h~!_=>)C-uY0yiS|1%F8=Zh z=7mkCJhE=5F4=LKFFhyOr+S_jK05t6){*SxGSQAp@9hSzs+PcdaYDXA{fLZ-h({E5 zL%Y+gG1jT_4FH$<%0tiojlub%Gdq$#qdokcHX~3EP956!^q>e@?_X`3ZTof3x1)Ie z9Ds9B8Mpd~cX@l{SB&e1Jh0A9!oY{n{K_}CaL)3~dmfhaz!aK~#i~FbE_cQ9o_+LlAGXBd_^gC@I{CU1};5=dBNXwn& zbkF22xiBwsYXRTnEY6P5e6dMKq1O-ZO|aalQUvj^X`bX$VO@abs!vaFef)34$$Ipk zY`LCxhvI+s7UNQZm62!h&mF`mnvF*MGSq9ayY-LnM0wcS1$wzK0sE&}))Mt;hU7-Q zv6Odo-^&~ef4RLror5n1()#MQk?t+tG%xySo?X_TdCjDF7EY)6O8xpL8z);fi1^wh z#G`_D;Cz%L=-kx7yD9$SV^D`C*J|i_{eP&QTU3d|crUiXxO9;r=wElOOzU)8C(>70 zPCh^G_C-8TE>XWPgW%<%h-#p0t0-vvlv318%RddcLhH>W!-lc&bn16D&7z_0TUX z9!>S|$FPmi|GE_URQ*5V$#!S1wOkK#gI@K|q;u!R{W$11_#z(pU^JdilL=!jcPh0( z{+&g%&#=|`S0`t2v7Yb?=Y|(eQY0 z=vVBgaeem@+=P6@y_%Jx^W6j=rMl?n7Gm{|cX51{dG4SdoEhO!*56dRMfn_bj^eK$ zG{bT>GZ#Lyj#Kc|ncEQ$%N!hyxF719G%lw)aUI97epRGD^x|0=_~>V! z=^iz?1Gw7Ji};P5-L1boeh_u+6rlHEX7jYIHXd`MAM|=u2K35*;rEv7^V#Q7i+?dM z!uxr&_2GrW5Wn6P13&Y_JlaI+f3CU@4O{>L82`NBPm5wCd< z;}ts!!Nb(!fD}RgaZn;eT4O}#>jQvp7dV~9z(_|Fl)Os=6`S9k0tv?$x zhV6Yfp-0j~$dZ_feO%f3T>suF*J zI}@+aID9ALz9iSBftz*ZFfQJ-I`q6|_I<|qfwOLE>4}g!%c>r8ioDLtk zxi9f*yJy;QspwJQ;&nT4;ni=JfzwL$~na2ROtb(PJDuoUQ6|_CLh7MCThKgPKPw7XN~ne+_SnB-_v^up6P>is@+~< z9z|+v8gK16(6hCddfI;Z*HQSaatG0VJM^y^mW$5s!KGI-%p+g1lzawxlfM6Ma5>?G zx78b$C-CR#?I~X0P{hd!{zSZEGM%U0t}I2rf9)avL-gK7ot-?xJ!g>}WaEA#2@Yh2_pidaq)(B|*;{)SPa)ZgUkn@y!-I z&4st?Ete+WU4t&i^4hV)N@z|F2zSdStoC%Dcy0nS{H;a=y2Zbx36vL9$&w5yN&%iK9I zel_|F#%q$>ZE(->mn}<>&z*Nv=lXkp%h`1=>UTZulTNAp-4M_Fz2NF@UiheEo&7DB z6LV92yf{wl===#^%f%7_&Q4DO7p+eZwVa>J-hXN}180Bi9%MN?kb?TtER*J?(+awe zeW3iC+vQQus$(ha+p5EP>UY!$=(FB`ueLr;boPCqdOXcbk08v8X-DscxZ5+D$Idh3 ztzMOS4IfqPD7YRm8{FAU_jVVpt@Sa*x7@YuVmj@g`uINF$N06`(2F$> zXVR%O447OZsD+sQ; zyMa5IZ3Cfi5Du;az6F;BP9h$s_%?7y_<-x2bLT_9_!;@Q9;Wz*o`|vBq_!lVrYDha zRwi-^^k)x(v(g4Wtn&Qjma7gS$Q$!%K;wOzy3=w#)fJq7-2&WcYZUaRFMQ1S({w+t zmEi`iHX{$}cX}@_M!bnm&hlXc)_}8f^xjVFt%rSBmVF8?zNwCNulK73RkDv`egd3NI)?p|rw@XUyh?vhV(jTp?pZ$0lX=iP zZ=z@&m2}@=eVnU{z}1?27?%kO+Gsg@{uw@c-rg(r`z+lX=eurj0eZQ=9O{<8t34cg z&;P)A+mO#M!siaHU0j6~k#L8Pg^EVmew~-?$Uh&QlloH{;%9C(z}c9KR1eR~O+dfPGQdsWG^}^^ z@m+-FB0uF{C(`d$=IxKVV&#fLFOr5*-ilvCU8%@&BBxVZ6!d`eudY~$yu0=S8x^(C*|8e{cN`eFF9 zW5Mt@V_k8M=+n0;&i1rUP0p`_tdBD^iS*b0fIn~X0eKcfmlD7C7r16)@q0uZO$68H z>E7q$?Ka8!u-M(;B3DT|PYTXL9?bAxz~%JcZX>?_Pw;z0UZ;Gj-9F$v>>~WlPqZ)T zWlzMje*!pvl}?&bQcmK98=)Tfts}E-JferDI0qEK{v)dUP1eu3T@`w4Y! z{8!U>`xK(}c3Cb!F7Vby4H_+2iQ1u62;?`Sb_6S)Y^r8US4iM>vu}Sblacs z{c){*s@{9xBj3>bH!-z|MElu?h*L9}2Ho_0%k5KNr8;Dj6X9cI^Qp;MoSpxRd>-aU z-o((jRhG-qqtLH&X(jafd0XrcGNLHOV~&Ee1DjS@e|GgO`ZaG#VO~_TM4Tha!wZ}b zD++FojYXX7N%#(Qeno~m;xt8ywYGYeKy_&HwV{0O|86*Zx}L#!9sj3@$I0u7 zIu!G-Q9NUp(>Ysk#Y(GpyeFYwzUno_na}T6^!wc|=;h#^h=+fj7;ZU#umfC;Z%IC) zwz57l)CE4O)K=83I`jhhVSO36{MZQl7>{Z3v-L5Dqrk=B+VC+MWfS3VJiztnc&v9P zZrxVP<+2}1KQ!%%{VX2zBA-7yV7x4@6y4K5cAaC})g5||#LJbY^`6HI^~OSJA5$ed zqhBZWfs>r2*Peag&&G77{2!jW(fa7C0p!1o-tV#ZUbvS!h26nTp$X7C$1=jvZ_~!$ zGN?TAz&b1#V7bGx>pa(7%~$O7Qb)n{w1UatKW z{zC3TKE;{@_{bA3)URg{#s5LfvU<_>7R~z*djFQS{=sF#WN^M|5Y6umir@LJ74je! zx}ttWRF`=4d-Epr&Qkh+6sAZJ)|Z)6i1ILUF7&JjpKkT6bbI1+0>OFW;hC26B{VKx zBMe-+wZ(jK&sfrT+6JzdFIj|s+l@dxa^*P8JMTSUkLAiW3VNQSK8-is6Z@ERn(`px zisRf-fv@QN-FOx8tHF`TKhOLam7L|HJ8b}$3*Mqm)X$lbmWx1IN3u;%iQXayG4IWAJRdL8L#Q#kb%IEpcs0SIi8FkL?9)Vt5ruT9(^2{u& z*GCr+-~9sX-Pv9pamv=&_nBQ@@aHbwms!1dI3NDbD*C;wY8>8$eqWt|k8_pIab2*j zOt${fY2d6ko#W0o>9Z_X$L>spZxM@zmgVls2 zU#sVxi%@>l>A&2wJ`0~2?JYOu=-y>=9{^W-pEZL1WfPjm(y`#OfbT2&|IJjvk>ILH zUgCed_*y^HycXp%HV>_9&+98JXA?pZk3Q0x@|GYXtiR|I4$cC#cRNdbYB9kwm`}MUGljx5wUw+IVE8z0k{bi=daY z%HVu7PsUOHt4^kM(PqvdtLInllm5YGaP}@Gd%vRluxLVm?^TD2dE0*VMcRLu@WOt} z`hG!ONtYw!v;76?%0$MYp0%6?u04GyZ%6i~}rHx;&%|7pYp2Rm>WUw*cL%%}NQbdWJ+>ZZZx+ucH4(9^~=)@s@Lc z^4CYbP(Nl~um0{?Ty4tU$6ViI-_u(g<6dfh8AACPo(?W%Rvd2ix@7`5TXGwm9X^No zrZihDdn5%KA7n7SsA_wh8qqo+e^HQGcXDFCP{KXLtKy zzGT`OaIvf}xE#KAA>!H8gLt9g#A}WVvz$N6MO^(rK0Pi?vs|{K{fhOi0?rdNCs{7K zCm?V7?JMl_>~xC&%ULwdqx!fWdatI zW4U=k_Zhx;4D?#u$Goue3!yhN{~(`{6#*{8uCKFP6uD0REnX5ovIf7` zScTcdLvMqNbxH6S0U_W{Twc_z^KIQ#@LwB8e1;#!tJ-Hsck5qzCb;-2`~MmC@bj~r zc}@m5_me3<#p1?TA9LYnb54S1{r^DPuR{Aq!N+?2-@pHL8E{@i z<98#A--C6}61Ilf^NxS`fPF-E+m3oM4?g;Q0jZnw(O&grQyzVyCzv)&9 zKJ5E++P8!M#yQAczovcJ`!cvWb91)!7e7v=`2Fruzdv8bIpxS!=$Ey-g>@&F^v8K8 z`n06=BWGfr>dtLPBF-EXKff@a&aVsoW@21>x?gs;gBHIc#pu(*G4{BMK=kbP9tf)nvcbJ md4rMoJGF`}jeg}3y5F){ZzHYV+{}r7nFqaJb=t;9C;tzN0_{5h literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/6.npy b/MP_Data/pose1/10/6.npy new file mode 100644 index 0000000000000000000000000000000000000000..486ed7c740078d276c097c3539fd6291ff7e009f GIT binary patch literal 13424 zcmeI2=U*2`w8lrVMvcZA8;+WYy`W;OjAD&3K_m9E3W&XcC>CTy1r-Z|qCmt&#fGs& zRIH4_*bAs2_OUmt#BTI5&*3k)Z|~*Je)c}9ulJBLM>$$Hl%)MPXiQ03vWa2(B?5=6&-SXP+INk-n zvKj5_+xckMt*KpPPDVTbd=TwIhfsSbYPY@&yKSDAE{!gmtLl6Hj?uS z7(c5#^(@*)Qaew}#`xusx7Upw&rH6J_CNBTe_D$CUzL8tv|EW=G}_nZ^*{B;M~2H$ zuJ_R%_WKFbt|I?KeB~a0_{DElM>~s7-)-7ukuPXx1$I3(&xv70Uz#f)!&6PW_~F?D zbFci~9y3>2I0E)oq}vVCZWkQ;1nnQ1KQmWd{LCBNm!F(&+S$JS)Ng_17YvtUmLN{7 z?7>&2-Oe8L+;Dca1g>IZop-RCHW2aS1-@Lxy}W?ut!I}p54ux>f6enULf|>&FeTgA zS!*iedG4N?Y1*yROAt5FqICw^|L~%D4lA5v+WC`>c;33YkH&BR_14&_oR=3&yS!N! z^TK*HLSD(nub{`~pC$i?FU0eFVLimjKDzFWd7fYM+G(D*J2n&Mo~>F);|LE$yQsMS zFT?ftksZ+9H4*b7$MpDW?s=Ce%#SYGt-86lyjESqHMAqzRmPu*=3ZxSD`~FkMgX4I zk1jii+E93u716px%Ym7=ULnZw5y5J;E($B=r7YQ7Hy#Z6UP@2x%cYNg@_Y- zF#9~(pB|v+KMtpMmv1Of=R53%ey_opSKYpHLGwJ@QgvlY?uC#4piR5AWfSFX-{xpn zaVP&a?P^ESOw%p{ybx#c!R02#6|p4Bw2Nm0h<{#({^jY<>%klM1h+gq;fF4lxWaID z-2q&$8;*4*-6z_H^BR3gCq5hFX4dEpuy4=}T=w`6_I9IZ(3ed)IR7^p>pfQi`eIH? z#6_Gx2F|y1^mH|TW|ScP2Gx)!toFEYqc3C;aNDUthOyI~yF`GWxPv@W-oK?A&X+ct z1O9Xb?A4JK6o>PkG_I!Jq%-9zxP3GlI=tdAaI5wkaI0(fVxwc#B^~=pE98OPU3!t> zcDK>6XN?wstF8V^43~Y!fy?<%z^&jF@L#Sc&dxhw+{&vw>{Wl#xBB>k^TMrWpx;6L zp~L5Y#eAtUFV{l<{rBYOH-#}@V&lbF@Ldix&hJ|yKK66>cvlk-$M?{cp+8goNR0I| z_Uz$4aI38kxE*t9l;L)j8RUmO5nT549|pdbgNw=K!Bx2lK1N@Bt%vyA-Aa>v{&7D; z|3WnE)ri%YM{9rcK*Lpuo8W9)H1Unqrb7So0J5)f6kHw5Bp%R+>{AONPjtDs(Z-%T zUqXC!Nyoda_?mBL6$T zSZlc6=>&cDZ+mc-IeCHM-1#MRc>l>XFOKoZH?^+<=0&Zcbtea$!n%`fe*|Y`USfWD zzgXm(<$WCfiL^*?Q6e_d_-TEOB>wsxxb2^aJmlU_z_nv}_$7LsL0(xt2WXs5t-<-j zN%M`4ifKbS>q^64`(_sAS8T6E{#5-F{_|oE39z3|dBxl117`=kHyAFzp9@`8Vix8_ zmU@l&tH8n3Z-hVAyC@xtILLyt!1c6Uq+k2&Dx<^RO$1l>eh1f`gAgAp_6PW<`bCrd zOsBEv_x`u=Q}^MhGs3E~9{lbo*t7ndDbF9(#d;KLi-7CYe~GtW4S#s6C|VawZ(npZ ze$0CsiEH9Q_`|Y_V_de+qys_&xe-sMKe`r$F@{L>WcS7j{+w|QT1wqY@JWZHQjW6z6FKI@@$ z?$MqRzVK(kUh?B|5XP&@PMK~vt1<&R+>!d#Ck6F;<}t>tcj+#A^;w;{wuIk>Cu^z?g`smj>z44N3uAL4X>1(c{$7a~eUgHsG%fI3R=rnYM zz5SpG;%OCIG6MFeB4}Q=9U%WZq%1Ss{_Kc(7vmGqZrwVFx~-C~V_bUNJ&N~9T1Whc z%@ohYRnd zo7Q8kf@FVhAoc~erZmMNY!=Pi&d^!L-l|;<-1ch-ZtX}!-pTF*f~dvVkW_E!7u;4I`X#ErQfgr6db#;Y37nrn1K*(7k4G!yp1ze1?t`sD_2 z>*!8!-LpRCUG9q^ono)4U;il~(24BjZ{Cj4>Uf+B{=bCeIR39?0>~uByIlXCI z&1zyE?b#l&Mu&Y9Oa6TIA%EDZnTD(T;l#&J2j{hFU>M$&>TAF94ZTadtNf;L%&#tdS&|z!+s~GQ@-*2 zi8QXZMUjX6A;ppJJ$Av2Q*EE(Z?4k4Fmz<#Rjea(E zE3Pm0K`U%fBjcxT*b(tnce^7FR+94^_#c)xztgW{pOuS}x)^SsNhN!i-@rwa3PZsc zEr36|N)GL_$?n*{w9h7RS$qiMCifP{`BMzvN_jKnD*Dyezl0kd)pQT(yPhQ;GjEjP z)@wRv>hk$9FILZzUMabpmB>5)j5!2*Ir-s4!|h4*e#koZ0%vujCmF7{xKrGQJb|D5 zME5D+$8LkGJvkVcDqj^AZk)O#vaUJR>`>hq_=P&sw z4n>&$rBmz5QY)xOOWPVEh!@27YVisV44KxeK_mCZpCuM>Isg z+-*7hx5^ApFr0T6@fT%^&l?@+zg&Tl9V7s7iP zd;8KJj7O(^0B8Q!=v*D-OZovR@SlG-W`?ns^~&Pj-gO)Kz@G+17=3m52JG3s^SFw; zpJy2^UOC`i-JOoB6~BV~@mx*)zHJF^w|^63>?NoACLh*E9gyrA)&FYr{>TDOl6}b( z=<^;=pd+f@ga0zA>;U5@bEphEcJMH`eo~?~{H)T7__dATy!Pl}hO?a)F)w;&eQTh8$3s(eZMYbSr@=6Bz|Ic&GBimnkjOkaq$B{oriStcYCKzrP@*(c^J?XE# zk8>2e))8D@cPD?k4#azbe7_HQEcdU0zGy#Zv++k)=u7s6ZJ5^2mV`+R+8R;b=YUE*>n!Hnm<9_YCpBo*o%`4I-*Z~*jtk?Vt-L#wC}SI zci@jzrZ{wT*OlxzKsW`rwFqXgj~fdCaae2LAKoOQ|298bgh~ z{5Tf(vJj2i{{2p<(P5)}G4EV7#(4FuR#?B%^Eo|#!h`a^>O87%#U7GBaiQezo#Dt& z`=6WOA~=KWL*sB>;yvj+rY=;X_{bixXXg))KO;v_oMPKxzqZzdgIiwxp(7m5g6j}^ ze-XX=5O+B-+l-5S91VN5&JA2TjSDthU#3n4+(02*;Au14j z@?-KZ^DX?b+s;Csi1CM^qox;w4lf)TV(jg2>HMQ+9HRJadN9s#agFvPajymDUFW#P zgAbu|tO%y>vuasljN$A+1LTAKIEcn|e`c)VJbexMU*cz~|NBcvfma#}dtHX=5?k7E zI&`8&f{UbcG><+ak({l}9^@M(K1l>>c#k#h7yz}JuAX!xe>;Ap{kLlX?yc2_5C=K@3f{kTizL$7PTyVZ1I>br|EgVSviCcWcG2@N z&Ix?>0o>bBHsx1HsGG58d+1!j-&MxEYaiz*@V*0K&u$-ty?Xm8&~Sd{GVD~bEo9#! zXPx18*)-UzuARZ<;#X5s4Bxg2{>XXp$OqA)z%s+d(Z9i&PXg+jY;@K(-11xjuHHWY zSMOY+4cFyq{pyK7g0qkF))~%j(YetIj-)!whfOh@?|cA%_@Ex(JbyOD-wLB~RqhTh zXYje`cS{@c|AHTJ=k-{RVtan#YyKgf9p`YaQyE(k7qRj^)xCwzh(8O-hw%#+hWWCO zxvh82^~aWFsoz&`kmn-h=Mjd>9|wcWD318>wEwyre^l$;)Ne*XaI0dw5%4pq0L|}- zR60M@UgKrBz9=Ye{sG|f<>H~RFF6LB?`R6H!v+mBoZn5QynOv0`l?nm&SScA6zTM? zO#9Tf>QuM)(78cYN`<|>;cF~(YS4MWzC-U{s`(7ei*=vAYiZ|fny+*7Q3u!`InbBc zdGEh-7J=JW>D(?ZyQ5z_{sZ#F9-8+a>huvhx?CvEf$ToLhsx}#uot&{;g5bg4EomI zHJBGxufOG*J6#+(+MOMVW3C&*N+2pcAm^E}qMx`YCp#(Ru8j5UN*8?qghB6o`TS z??2yzea9aznX5SU@lSJAUkXA;R?9-acKUJT8)xmotsRKP&n@80%@bUl-M0p}|@cQrVxOW*DIjdrNR((4&GKU9>+(XS3RVkIJI=xCYl(87}ybq|@*laCIikBgObxu?pfNi}pspdT>41^PuM7{7VY@m5XPt zH#*FF1I6Fd593vig(8iP`1S_4Xfd1O5PtyQqr?KLZ|dVpa9*+}>ab2f27A^blj7Vj zj?TT$n!``4dKT=pMs6cIQJgv z3!d!?ZvQ?7>xJ*l4}DpJ>ag%{hxN|pjZ1blIy(!&UPRx8KYVMx=7y_(%Yw_lvMFvI zJGC|XcG@cVFK+#Y{ayB$fc2#=KcV;>&-?#(L|@8tcN<&={Rn%$eIe|5sglrVe@;Su zvpa0+Y5LVJlc?W2m%-K29)9ritpm9AxFM}Oc4(gQhjmuqs^vGRKdQjpmByamSr2Y| zxnjN8b*6wPd;)czIX1>R74D6*&|l7!I9zv9 z9@=TkVQ+bRNW>_O7`C_HKFW`sjA(@Ozb}r{uO<>9^pIo?D34QO9*L zhO_mf(XXz)3ij+uFVqK>@g2A|_%OKL>`0W+S1r#{+!~dqdHHe^`-nO`2wYArMe~@t z1b$k-6am*yGiY26<0cy&&QFm)$;-f1ukr&77f<_v^O096KC|inp{n2nici@}$Xi*r z`#Sh@syw)?I0SJ}pRPw6uG9UYV~=`?@mj9lIG6I?nc!^mIru3PM@>yJjMpxj4S%fc2`i0`J>@F; zwTecw)G$p7aq(9y#h*hWV- zDFGdJU<>k=wRng4h>HwdbZCnDW0GP1j+)tIW-t z4VN4HgR7>Ok^j834|LSSP8hG;Q32<4y|*s*N0m(9kwlGhSnp!|NaUMtmsiJ@bV0w? z$UiLOzgpTG`uuY@n)f=3aelDfe4(!o()T@?xCG}?J&Ed@Y(&3D^D60kGFOh2TG%(u(5H zrZ(kI`oMUjBU|L{%jM{I6ykC$)|a|P{i@#c$-dL1S;n4wx{*Iie8EM+quJnD^xk2W zo{Zz?((j`%F6;Tx9fn&~&p^k1K>N7u++U^` z{nX3g%$I&wpjP~g^NDzSkN6Av|E7K5<6L7ew?7BB7G~1APHO^t{`w<0pOE(+e7~Hx zv1iG7=g%)EZW=$hzT{@O6+-7Od(d9uRUMrT*Mn(Xyx%Ht7P|Dc`MsIyJsNQqK?T88 z<+@(b`@0Ut%eEJ!bsdl$Ww<&UNPZq{N%cISWr)#N3+96B=%<;+PTy%i3OYq-pR%{m z|8cAx`2r1>u?+pPwT4> zV|xT3Pk2)JaP+^A{tqHEV&JE}B4$-euD%GSe2_=-e&;s+OE`G=3FwQR$1J%1eFM?j7edJG@1j>`H)3ERJ=pmRFdF2TC zvmga^TlIfO_R;jdpf(m;X>`~-+VAwd)|f}@$SQmXuqVX9-mc~e&UMLY#-5+0^R{|D zfcERcj-h5;I*{Ir#dHsf+uk*Q7%rRBxmsDXi0_xEGa`LI;=n3ArZ~ie#~XXTlJte& zAmooc(5av4S7*@o6FKBP>Yg3m3g=RJeF*$y@mb*PmjoYUFQ%*o7n^Pok8qr2xOFKF zT&^zzef#QF>|fk5hj?(=%f`-5EEQ|6awYx#SNd&4eu@PLQBPQ{OR(4dzXMkulW4x$ zt|orJH#ko}iTP5M+)2L+{XfF~b@?3V4=Dg{CHEkmP>wtl(R3cOx>W~fC!0+%_H6B1 z#EmDtf}gUk-z4}OLi1?#*+Bhn_eeIJ*P-8O+go=a{+3(ir75}GZXFFB*&!VBsD3Jm zb!Xk9^9*+x4SRO-3FgHrw3y~=+)2{eYTHIf|Ck7FkDd!I{O+wWTs6H0uA9*Bc=?G0 zdT-4aLj4Z90ecz$H}vg3Gr_Hx0+hFLEn=Y0;=omZFB)(0g0ye?%qIK&G2r@jnzyUz zcheMbdqCd*Nv94S3mv`{aTd#tQ(byW;3JhUL-y^`)>t)zqtn>tb z@SfeUKCMvtJ(cpXrWwv>L{VNI><)YF*aqh}s|&qv$iW?G{~h$3pR3U?(g-^01q0U) z0)wERN$-1VLp5;LZ#>q!btV*bP#(+1xrIB<4KX@8!X5qc$B(h@M8TCf4~W0Jz<=Q% zgLSI2=EHwcZy5DEZ9D3=EPY{~=~ub+y=3%w9G#2Aq_e}#y=a}E>h+`$=l-u|4NBv0Osno36%Z!fv{wuhw^PKb#j*Lk8A3GlzegFUf literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/7.npy b/MP_Data/pose1/10/7.npy new file mode 100644 index 0000000000000000000000000000000000000000..4b46fc16e4efe13535c7dcb98b19c42e9aa306e4 GIT binary patch literal 13424 zcmeI2=U*2`w8ke2SR=7UCF+Ph7L?cvOvHksV#kV$3O2BU6>(5dG-3oq!8$4$OYGPS zW9%9mcCoD3dqvSCdYR|&7u>h^@@7B#owLuJIdkUB?D9+K)T3kP-ruqDY)ZAkf#U{^ zt=5!RYaZ0NS}k5JXw=xyu>m6oj2b&Q(C{_^!Q%pR__(0~qXTp9tJiDT(7jfTT6`-1 z-~JV3jOlO1GCgyyc53nsb7kAY9;D@56`4k#51@Aa;<0VG zd>4s!@n{L!wSR8A3`V;ib`kBo<}$Ri2x_;tIzBMZ^G>I(n=89J?26I1exY_tkGpHQ z4u6L6>%vXXnszai+F8x#H2$B8-Zpmp!>D_vT`kFde(ewNpEbRYc2;zXZQA83YFB$J zJ~7YPU0XcFbk%hWspVVKu1AKyGMrU^kLP94N}tTVy7LY3Q-dpJn0v8j0-hHS9cUgiw!g>oFM84Q zAG*FUcJ`k|@VvDo=^EPWEGGLQnU~S-KLhh9?BsW*UBvC7=X);3_^mUmJ{mjSBm9zS zXGfc2Uf99gR}8m23*cTSc7*?|@=`pn^45HW=MJsNGFSQ6@vV5?-}W%~>h#>3;5(wI zy;9!o=3b9V`xV!pH)38?*I&QEF09L*G}B-E7;f&>lqAH#Zq=CDYk4W~%;L`Gs+Ug0 z^KA2_ydvjbuv4(-Vo!!g&OPh=8uvQp7x&x1!eh@5-9s1Wi@ z>~%PA+I8atc%HcrKszh*4(m+B{heysRg?ahS5~l;Bc9LrydD0(J7Jr4ac~{5e~S0{b?9G>_?iNKvMV@$8g$Fp%U|~; zg8$+KE`|-JIx{~|8E&ub4Q}f4&}+-g>6Fxr9;>1lYo&(P&hys2(2 zTsp|u%S!vnk7TZc);347Q+G7;B75B+9Ts)}=E<#I!i~IM77=2d1HsWt*|3LcH z54SeC`%NEOM9v_B;8*cq^m-KHYf$N)1$HRVqKXBgtDA{lFoM1R}sRzz7oRBB_ zw=M9~{_!f!$D57hkDs3CnPV=ULgA16R0>y>xv3ZWeP4n6*_I3)HFE11W6x9n!Fsa) z9s?b|@7XHD)u-w-f2&)9>vEH38?INsg^oHCM(a53>I~@rT!!Xr0IfUQod63!v}eyQl5j0bEU|y{Kb&}*5(7? z`rl^6e=IuN=-3xpfU7#i;jg&9HUxgU)F3}gZ-@W`S_hTBaGkxpzjIPcVr=A}Rq z;;0|rz2uo=$62EV=4$!G!XKXYJ;o(A^`Q0J+yz{8`3s!gZx&$m)r$h)%wZnlA-!u1 zF`UJvL0|baBK|6Iv(eY5w$pf@7NK<-avXKf{`?GF_houB-$P%7^?<(0eu4Ptp6e)X(f?w+ z%=I?KZI?6YxIK+CIxJ#1xcn{)byb}k8)mo_Qy2Z}8|yB6=G@yWdXF<#_GKgNS)-AN zv%SOHq;GyobuidJAi)e|DMMg9o?B@-sL}Q5Ldg{yF}=ey+d(p z`w(1gxE*gepS*#_yQDn&5%*nVVSn@pxJ;;xILNF|uvcC~!PzdV+xEQ=qm8|KFoXEG zB=YxRwuH{}iQx9rf#BB7W)z2OH^{!9M&8;duC6fl*6yR=V%N{GSN^qU8ZHmNC!X&| za9uhQc`Js}dbDObQoq%2V!exi;)sJP6oI&^rghM=MV?aQl~7>i2;&?A5L6;H+GG;uD4a`&8@P&am}5Arx)faRdrSJV7wqk#zTmPA$2{^kgJ3URUZ4(J4_6?bqT=yw zo;fo5c2Dy2ST&l*fPf`NU$rNFRdOiwEyqC-hTART$YRu#VV;<717E?$8-r_?5hV;ZfX#aS~9e(z0P5#&HKyh#@GXvc21bta01N$s@wK^KkTcgL#opA_p5C)@>igrH34Zy>??`z;_pgKl>Egez}a zausxdw}Bo2EZ{-S1e#GiMqv?ML(IX;hW&!g^H z#RpRynx7)Qo%x|}$2}+it7gJ~y*kCu_-Qx(iFDo_pm7cVv60c21F1jOeJ!{unl%u7 z?iHHHd3C_WuDUUX^T*E6v3ryPXVZf_8GTvx8v12^&oPhUzu;kpvz05rxi4`Y9W>H# z9z2xB8&VQF*0)VT;2qn5+cBNUpRQHgLI3z36v)zQB$^A>ejEwpJ~5|VLc z-ad$f+AtA$#eV6A=j6X}>&&=hr^fXBZVTg;r+0Qm99ka(w+eC8L+jj~MEE~|-hb7= z-_b6*Zys#8Dnjc@FWd?)eJ9N{I-<>J%scDnj`7Oq0$9Ix!fSf|-|p~Ber<{KfZg*6 z@$ECg#pW7xKBzf049=dm0@vxaP(MYDO5k$nd5ljbdO}AXrgM)9ZbI{W zH+Hm%gMPak_Cf@qZt!ut;3umZ39gG!{)>d|eNDfX-5s3Qs7HDDY)}=%)056Waw5I= z=|hF58GGgM6#nsE^!{jf&4)Y@jWqR}T@X5YX3?3(-ae23E-xNLe0Y^|*zZK?7L;W!DejvZyn&7IQZExaf^o!DW z30^P|>r^QZ%%dvV0y^w^4C$Ah-v|DjPQbnRIF8n}=OCQx?0mGo?2`>Kk2>WC(pfo( zo^P2-d}3Ij(NV4FJzbY-P5$;COa9lIjC=b~8sea?XVAHQX)1K|3Ht8BuH8qyM8oyIzGPn^4eiS1zbS^x zzEp?px4Gx32dS$KSHE6_y_MA#I;=^nNomG@0e%0K`&UsNh@tOVx=L<+7`p-WjkUjo zbDEm92>vUV=irvFcQSOA()zV;)d1%oX5*ZrUii{@JrYp&tUo%1!9L$p8ozrdaFr2; z^(FVlg6pjvh{yhg^=MtBbFf|&25v94FpoUKf#T5a1UTCsj67GjHX|rN4|CkXOsTxWw@B5k$>#R&!oRC z7UwZtEQ#V-qypuCe0{3h*%!fu<1w;-^L7dPjmsu~cnao4ZIm=G1?hXEUHdJ~?}2%! z1L}Sj={GqHF2dufK5U_LyDZY3*3s|Z$3s6l_dT@IH`q%nc9r4Qjoj~1b6sK2>PEsJ z(P0qz8MK`Cqc4sFJ#*~k`MKb%*-4r&k2i=9zrGfn-+M&%VHKwueKwN5A6oe*g4^Yz zdKw+OO%cos>(>!n6-ns;zI_zcv90Y9AND1DxzQ2D*WE|^y!_N}SZkd3cuEZH^_izM zu7L#>8+(@O{lM6>$rUe~tNQAP??Se}6LjR9E2MKVNt$-6)UV*G)Fp6hg`NR^dLpqLR`VES%jr@xqCxP5ayxY!r~dwDGNH|PYu0$0cPqF)~Foou)`)f8NJ zI6>>fEouUEmh1($8{UErZ(e?(;riPo#7*7IJs(~zvDI*1p&Iepji9e@{=5=8uX~dI z^OLBn!u4n?=A0l2X5bv#`>O10{kCRU8WfM)mazsDq@Bu-0;a|b?h=VK_ zOZ|4B_ZlmpO^UJS+4D)~?}r$dyb`v?a6RiQbfnsK#pqb=oZ`$?`doy))wT@sR($Ig zXzXR;H`0IPh5WS3zlj4+{g?QwOz7Jyui>02I({ZU*ZoHEjNX9xqHOuV+S9uYxMQblf*am2Ipt5PKBS3ien!6@ptLCue)uHxms;zLZ6*_NA`u{ zW*Qwi{0g|`JrQ}r+(RcDdr>YD`YLui#lKrfB)D52%9HnJP!~m?wmYHkehoVE>NZ-Z zTgTztD4aKdt6pEgMH3#6eouNqpS8UXeerj}DMm*(s0J>3rxV{8J<@RY@gCXlym1-# zc3XO{ai{o;b_<}-W^_Sbu@XgL&+8Awc-7C>C!2m*Y*}zs`8afJr)JV{)q&QLSQ&cJ z=-Va6V_i$}1@@Njb-c$Zx7oDr+^T@<83l+xQ*DfnbaO#`{JRFUL`wQ)?#}9Ugldoadbm&SRZ1F1f}L{fef^;LNdLgs~T8PEwq$ z8;Aq1os4s@8qxsv^70MR&+ijz`c+*k6aR@}y|4o*O^uGdnts2aVrYG_vd$xnJ&#L+ zzJ5Ci`ZA#M5@T;Qy$5dZr*&$(z8?pj{0G6=yEEulEE|P$ooo;f&Y#@@wOUp4<9aB;|&)l3sKyh>x1h}!zLRp zXO{uz-;bbpmQFz&gqHxfu1~;vu`l-@4V@^e!&Y(&taqL@Wshf$jxA~b;_V)gKT|S_ zf$uLt{rbNo?&sCk=vZEh;ioFu4g0$oKMCtgr_=8=SReX7h1Ii5B>KIulE!<4zQc&@ zc-Zp^&d^u8#-P5bt%=>y?|?DH4_u?V=j1^7bHV|f^Loe!d-#HAqp!!LfwMpJq5kl7 zo00#zR0_B~!4vC6`d*%8^u@tBWZzm{Mt=!&`^<=_a!?jKO zpqS?j&bt+YpVqqku-C<|kWL5xFk>(FpT@ZCJaOPMbyI)CRd^qY+dnt1nS1;Fg86AV zSJr1F{E;oo&_0zJyc#-XOOgN1{)mHGH+V7l=Lyge)w3{O@qQ@IrJ`W&ezEL4{AAH5 zu)b8OanRu6e>KgoUeSX5KULM$_+#~^Jd{5)r#xIbI>>Nc=rqR5ragr} z{NG22o7|g0<2{=Q|LrMqk+GL9q15k;kED|ny4&=t>u-a-N~iD1+&3{AJZvktwWtZj zVJ=rjN6ak@9dUCb@>V)!AU^EdH}WS>ebh0v*JY#8ktgD)-)BEV$Le2yo8jU@8*o)G z1?!!iT)ZCrhV%kwe_Wyb-?sxgRzhp&i?cu8gWZdtXPT@1M+lAg_cEvtcGy_Tw*yqi z_$Y7mE7$(#pJx0~-KgK|-iW_WJ%#gwu0NLa8_{{5zYhG(=<{Sx;+IFj-tKb)@lln2 z0auO7Ar4}&E9!}Lgz}un#30Vrrq~ptBX{4SIM>Mip5f$)`e2=*^En$>7~@j2!mu9s zoZZluQ?}E7@gNL3D*StJ%Wo9?QT^)7F#4)C>5JdropbCJA(V$MH>VrUlXJ(_ zJOW(02H`xzS|!uCj;=k)(#<$f0LH8SXL=yQ+UeLVY_ zG&*)R)gOJ>o$|BVf*H^+_z?D*)BiWQ_sVF)xq1aI4qTyiedRvlDffLL?&XH~h+8g0 zjlG^j=TAH4G_BveiS5yEo67LtsOii`4H2 zdFJSg;WcQy=N&O$a^81~3|EfR;E#%Ig1E7U=itBeil%YZen$Bg6RycU_-Y68N|#^0683)mpl^M73mxm*gK4mz_sQqAN9u?|vIhAxgVyP|-TODe+ z{%JJ03>%L)tMJ184ClQbf$Ng%h_88u^((*F6zAe)?-@I0RT`3J?8o1w`25=!^_B(i zjWS#hK1e$I-yyH8FP#_Qx$;xN?eT*tuc8}be^*2HfUA~kXVDBnjJ@t1i}ARgRt0{rn`O>yq^ z27apKgt5?1&pj_aOo2Tg7qSQTJ}+S}({>>KqE-Ii)6BRo(ffk+Hjd`;%X6H6)LV+b zN*_t{mG~I*q6_>E9qaj7;#F5EqoYb}BKO_-Qc8i9{8|6gbC!|MtX}H==?;CRIY}9`~DqoD@ z?8H&zrIoxN^_^^?K^JHT@2V|I~Vn(Xl$v?5D*k*4edbH`S2k@#b=##e>W0|WBi-m(fsbgPdi7|s(NQPQgUh%1;ip|-QyldD zcac9gXy{&+2QdD{N~fko<3 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/8.npy b/MP_Data/pose1/10/8.npy new file mode 100644 index 0000000000000000000000000000000000000000..513a0177dfa256afc7861c1ec26e097230d10a25 GIT binary patch literal 13424 zcmeI2=YLO0*v7}|R@qfISVoE7gSA?Qwc6^0C}EIjOGFDvlp%VTNI}Ao=)GGlgVj5$ z1{u*-XDybsJeljxU+}zr9&gU)eCImX+;h)8bLMv>vW-vcc3m^DU=~)^KVU@P;brUc zvi1AbDO-t`?KgDz$l<*Mdkr1#AK-Y?-h)R3r1230dItrh-IuFgyLOFAp?Yyoh+F2uN*Jb?gy60u5me=6FZC)Mq+wX^w8F@E;3;B7pgyYXGu&KFU;ne#2;x3!<3-R|+TuH7t4fBrE46VEkm z@W5S-hwpK;NBl?m%^!)lv?z&ok(z0zYgZ*cqn$n2^%T#2%J#}#`OeWt@O<^kkKDc3 z5`Plcqo1HR%sbh&i-8Q!>G~y}yLMK0!&`SXeYRb8?dDDj`jzGTUqZVmj{eoPKCfLn zFCX&)dj2<_H*531$NjeI*Im2mRw&us+cjKRDm?-GYs=a@JN1enx+Kzkva_x5X2|TYiFUB}TWg9rIJI%l8uDs4Xw2Q>(t?r)r z-V^RBs;@_0bWF1^;CmkINJ`_f#rGWTak0pQY4;P_P3>7Rj`Nm<@}NCoG(BJNYDSU9 z&96nNPM-ai+|coxNxm452+g_OwX^C8G%qy+GYNMe9CXL|vKMF0p*{D0 zJkRq7pj}^_hjnJ&?cd?rb!k7;zx49REYj|6N~PsVX;&7z-MV%&G!gNLX*JN!Zk{>q z+V$|{E3Tb)=#RY012xbu?{+uZwVRT?z}3e!=%0=KClSxx?@0Q={cd@u>FkZ)qZ}7m zvw_>e{jkn#lXlv18Q&e;c)!Lx=uJIVK|irI@opJtem-4#~gk+`aze8}gY|n)33;gn3Rcc6|-bObz5)A04y6akl6I)n#&^nTS zm;-&(U~tiSBDiR}9dX(PL&0UmRB+|hh~ivI+zcp%ar2ooNk2Ayz7lC)l)v;DkA4gL zQNOb?VP53*S1Zu({G!xv%behR-@PS{v%rir&aL&3A2w;`a_=-Oj($LYrequJAFBI| zKJZz!kMe(O5V&bvV1VQD?pWf%BWb^>m_<6SUX&o8p9_;dIeCEd=W8m{KJslr@~;^$ zoZjS)gPyI`m`BxQTo`y$3ocX~&97=S3Ov6b@ny$}5AGWbUZpy??Ue&{!fzBsoZ90W z@@vLyp?)8I7vi1PuTB|B^-#9}#dSp?etx_-`Se{%^_I2GaOi*g7wgGv42BQS{%nQg z>O*<>+d<91ZN7~&9Ow1lP@MBe(>kj2Fgz)Zi;P8RzFK-=9^_0O1& zy~$IjD9)}_pYn4~tP3$FhT<0Qpf{&4p$?gPPWl6R5tqu<4t1py4-(&9hj_7-GhDy& zp*J}H^ey65SyT{sv5JVtw%&&LRj&*y9oIj656+Hd1~(OGUCXO8C=WhUF)#9ZZseb} zljL7N1p9;h$_IIn`6hwuSG(b3qi@9`4}Yc4%f&9>dg@f{OZ21aSpKgejDl9ZRkewX*itnyrthXrx$^xpcj?u zBA+7Y^gyTQbE2re?;DE8r*eejs!~a+!@k6kD@~c z^3T;7^P=X`IbYWeLtf3vKk;5u-%@_WxC-E`$HMvW2`GcS=~j>7qd#1tdAvaTkEk>a z+=h3Ao<&xGUTkUt&K5sH-t_Dw8dr=TxGHvU3gVx;8{Bx0A)a;mbjMlLI&fZXBRH?L zeI|IoQsN7rlmD!O(AzKV!0o8wm`9c8I`pOioyX<5MA{z)Zr|$d@>bOsaq@>{X}$ay zu*CWEe&jFm1;AenIX=O0GkGEPJA5>_UcC|XsM}?x@rH-P$ArJey5Kq*dUGL^>SW}3 z>?bz$1I0PG7xmjTTa@z`Es7Jr`i_2ocx9w{sZ8%v(=-bEl}_F^>!URBx)qW{k_M zD~dXlGwIx5I-a=Xou*^Y9*=QXUF~aHcbikNj_m4k!_e>3_Tb{|_gF7x`d#Exbsj_U zS8G6ZQsMhBr`N4$-w>5ckzU`Yev7pt{re{HXM=`g-g#(IaCTub*1J9Dh5g*bG@*EQ zcgK5B*fDiooYpo)ewlwev^%y zsD||szg?ag^P+lp@^?PUkLHWrHPFkiP6atGx8|jIp8Aka?()dLWF2W-8D3Bxs!Sf` z^g0WjKSk<0jEe>CMV?jIeZb60&&Y%kj#T{zWE3Z$~ML^WtOdSMuMUG_ENJ zD4teNFu&?pcH~FS+ez^xw+ePXGGQ6?YR^lm=e|7N#bb8VqWpL4Pv@q_&(N=#))IR8 zF`9fvl*0K?-ML0QQ!sqEDS~sXO09x^`KVF2vYeZuT)*sXN!%NcKXA39k1uyzpRa^| z+3`h)pKU3z(s5I5KJqEvGxE8R67M)~>kYl^^69F(7qvW>x~t025Alef2UA?RWgo|F zC4v0gKIJI?1fZzCp*sftb#x9G75P%KIIl-p?x5)!9Fa;)9)Zv>^S*- zi6#GkpTdW2c|`HEQa(w}e=hACy7OUhwkl&I=g*H&e{%GCaNcH^zvE)VRpdQ!5nty}-Y^}niFEFl|^S4pg(65^I0`th?qx(C~vT1PnBXPBJ*aibyhPpVET>{zzdBDQ)SJ#*8G8FTXB2qv0^sJw zLℜq+owGcVZBa+IgGC5mRlRi$~=A7xy~0EX`Nrq)Cpe+jL$Mf%JPqj=eL;`Sbkr z{$^!5(fEqCT;ufiw>tEElK_lY@66KKadwZ+Ge(!Z0pHp?Db6atB2Mukeg6*oexUPL zRfo_#*4&J%2=|)eo-?uZ9Yp1*jq!4yltl2Euc2dJ?NIN!%~?7>bbmrTg5HyI#XjUg zHb^C2^*pVQ##xbPd+;W>j4Fh2*^Y>d|-$cOUA;D_Z{s zy_!7``-WQB9&w7N6Tyw8`ZxM`7ne`#?*q;b)WW=&6_b8+KCCsJf8;Meq94|`8qOj7 z_!HcVD<5f{m2QbTQ9g&@W2fe!`rkKciu0F`)AR6>-iPx2;2 zp)dIkKI+yU#IHj-E(Y&Vo$8@%IJlTrcnSF01n4DigZ)!9`Wy8l=g{{P<5ipD`V@wJ zk9VQ(Hg?Ksny=W9afs*fXXx0S8#KS23WD2`?{Kdt)S>I*89AKZUakT?KOI2pblyPB zub$BmTuh$^z5G<5x6|w9QMebuqo8L^9pEo+(DyI1e>3#L zj!$s@y2xedb=T(LrfJ(y_Vdt!iTF)%dQaFM>*>85b6z{W9J&a4e- z%GP3$ncD;2{T5f3n$U_>1-7TfLosD&=3s z7pMB)T?gyV9K1~PSoApQ&z@g`eq%p^+wJuG%QhH`d65UwziSWp6LsJ zQ#%3s6>GA-uN#*QpF{EMGsIsl>IVOdt4VL45O2_8Ed2fG`=Rz23ocBbuFgj`%1!eU zOXqM|GEaNQRh40gQ?6)*{K#glmO3AGYRx^g7t948>lqj6?oIp*=(+C`j7ubET@3xb zX7`~l=lKV8$xAo6t0&^_?THmCPH_i5&0LtPVujAKG|_LBm`W1bp)Je_MHj7 zejhkbZVRrvl*W1&Rjwc&Q+GePI5l;3c+9X?E|jzgpYTe z+Z()Pkrtm^3O7d`aOJqmh)%*!=YE9S;2Kp`u_-BJ`8$3 zs}bVS|757-^wRGnxSieuoW>f8kTQ2ltF#k`9U z+1SQ)!09n_S1V(e%>D9e8l3i;Oh7D)NjJkUmZ8&QYoIeTUhV* zc-I-|*N5^i&nzVWip}wTNx%J;{2v8Sel}%CotVHP;PTQ*^4UIiyo-nNdZgbMd=YVs z=h!#&*pJ}qr{v4%?=D~Lt~OU0aPE~8Ty#q)>U?bdBFK-qLH}>bS2x2tHMhOM`QgLp zmxmTy37?Z|kRLu~D8?&q_l|Tv=F%PF)y9L{F4HkCu_+71nJXIH%ql;@>DiU9p%M(k3+vrc=Z0pVD&PSIjPCUc!#CNwH;PfoWz~3GT zg+DJ)0PhjjJ(c?1xet2Pv%)CnqnaKBXH`y6zxh5-a-6S;1Q&;IlK=5x^n0Yhc5uFj z-t#uQ8RPU~%MS8S{RaD+DOa5KjVoJ-|4ZMc^q|35Uu-<(Q*7*xeZY4A0eNFJXV029FRC>|JeudE{4cCZ{vXbVL7(ISu7moK z|C$1nhf@Mv>=zejF>>)8<_9T)d9(YQWWM?FY05&Ma}o&?Tn=D_}AJbR-4 zWqcy}muiglB70@Q`ZYnb$ftDz)`fW%+{gJ_@9N;X$Q|U;mV{hg8A5$XqpW z4pg%|mpRVr?}U#Sm#*hCu|Kerk7!(jCS7$p6_!03KA%=YZzpeqkNA5U>c?cD^};;9 zrggL_Y;jWBbF%ON^s5dmf}a1Akm!8$@o$LVOd_7mH^yA*hnK={#_x-Tb69%qI^< zJfeFM)Gc465}aOKD?oA1=uLTOa31?4?-2rjDc@qeLI&VmssrhLVQ!>a>=-^U<+Gpk<=^lB)LtKU>1>R&bV57d~o09u1#c z*(v^%b+iwJY(aj^#7~HaFY%&%%=gcA&PR@(OZttK;Un|a+Y0~rKY^?4iL~BZgsz3Y zY!}i8-$4B{kLT+hR|T7p|C99pmoHX+isSZlAmX$)Jg`5AIl-tme&uWE^)D^auf2W3 zFDXsW^L3zphqc1IivjQOo?_)jKra&L`yOBP73xh-Pv76#4TE0(7l{1upS_?rCq0k{ zCBj>|c+7(S6o2iR$g|urH_>rD9JdFi{j%##m3a#H%=%a#86E_9Rrig#DGYX`-% zW-Ick|E&uj)-yNtyJjTfF&#}fp39y>d3fnh;~G(Tvg6`&`g<+2A2_S!i+=U3I*5}! zO+U|jCNFn-Q-|KmY{?PSmGLS%$#FZL`qgEpf-`+hInJKaIfqXi3T{0YA|BC}es@Su z1+Kh{V?UHH7a@MuWDU6P5lY{ew)rC-8!!y>uBWWu?)+t`Na)pnRcKswyl5XQN&C6^ zD=*$V@{8}Jq%=KWag*}AE0XH`>eC3vbqwuSdg|Y(6Z^OlxCuG|e}1+d)vd=Pis0~ZC?E_Csz&yV1*G7rFfnPm&wI4;`KzG{oMK|L@t8+C4?lb|=nJrF++^ufH? zBXn-JQLnMy#rh))T%6{14fLyJ5AxqoG1B?#8B>uTk>fDNWtW`B?;2VAEX9*R|NkpG zhvU5AR@h8jbHEa@t4e#mP#@ zgY~HOtJ90lc@Zc3a2)GbKUN(a=kH1rPuxZP^;CSv(A(*pCU3-mvwZ6tIK7!Sh{hY8 z8C<>Ly}g}(iE>mAYqMa!)cp_9j>~Tp;xVJ^BX829>lEjst4yUhf1&UBqHt&+^pk1c z`Kk|B-Mw9PZUV0U8PKmhx()q`v%>^@!m6TQo_`1Gip`z6-04jZKltlcZ^`HO`teTB zZWe}*Z5NFEs1lF5IK8;kpW^vD9&xf&)nc9A`p|lmZRzja)Uo~a-U*`ft^G6odtR@q z!Y~Nr#mjkSd7a?7eamN&Tj@KrE#;L_8+y} z5Bn`&F&p*9p6!E=diV-;$X7i_J30P2*fzVcZ>#2Sp*JJa>ng``)QO%j40`suKITz*Oxf(>X8}t|f37dM@h>&TaS=oB zJ5{A8&K2xo$W%8j`}PvX%g1%2Jm;Jkhw)ydbG7X~37jST8tJ%xd4TeB=sEIWj*VLm zeKGPkV|$@~_^YOUyq*73`hLRv|D}De`R<;MtN30NXP;znvGxM$nZI2DuESEn`NX>l zK3Ok`6KKVh3ML(kvm1y|EO zqMV+4$AjB7ox$atw{yS~+JVbK1HeV%^2v_t7MaQC$9BXQRKvP6cj-JPGn59`AF7OT zdR8kDc~fKlMw~ii;t0n@{q*zFA8VjDBSQ9oM?HsL*V%#m%W4e2$3=!XaCtJ4&WGhq zOp^02Mduvdb}01r>lDn3s52jW(d`_#@>;5$-jv$}&eqK!|4kQ{IWAYz`AT^I14$T=cAi$K%T{&W0-fHaYKaDi$9OiyexYopz=x=_pKC|BzxNg;=l|jEt!Iq~?rL&Jk4bXZWf9n4)X)i3N4~jnzEX3> zp`KJ|Gt{Hm{~6yOM7KDq%hP^%FPN`yL^vNFQ|GetWk+Mdm0#a*ch4WzM8C{~{;pQ$ z`dvD`_}l^gnrrv*US>zU@!i9I)1Kqw;2%l+S8bbhkpMfmfGO(Pr^ z#p{5Ja`gWIcK-zA!Im$8e$}`1-Pn`~hmVLYNO@QkMDNorNzw4no$rG4w^iwP3=d2H t&J%d;Jo-(_jDGdFWzd@lU+9G={T(>F@DzE_xfsP`-y%OY`AbaF{{WJ*;!pqp literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/10/9.npy b/MP_Data/pose1/10/9.npy new file mode 100644 index 0000000000000000000000000000000000000000..437fe6117980920fec6d595b98c43d37750e5897 GIT binary patch literal 13424 zcmeI2=YLO0*v3cMDA`q3Z|kUG*IM01*^F+rAY%1QlnA0lL}vui2|*%JMkLBA(V|NR zOY|-}qjyoG^JK0&f5G$idGcmH=R5bg=9+uTnRD_BZ{yv%ZRboZn2mAk-Dg;@K({)M zTRp!&-6}b5euD#p0(}Sh3=Ztw$MUAW0mJ&F^I`tJL;9p&SEyR6R<%kMD>>tw|LtE+ z#+a#6;*LjpDN3%pVoUwy#NDLyQl9>vYOh(9eW+J!E~MCNet6>@Tkrf$^(K4yyOt~O z(^UUr9qNS#)r%IRP%kUqM!gvFFV#1tdVP7&ZF|4S;(5uI>{ThM_sOV#|Jqn?=FUdF z=~05(7a8>tqfqbYE2x)gRBy&+v|q#J9{jyKcG;G^(Bcb8>7{VbsDC)&7V2G}p#P%% z{u8#I`(@~VdPV)8UFe35bEX_Nww^^%z0B*tzw&&FdR^!GEnBabW!!(#d1UXC_3GWX zr3uTCO!t39ew_+i;7e4kfqE64whi|e|Au<4c0RTD@tiqc+ENyr_MfeHe*XQTy;jek zokZzV8TD-MFIR0nznby{+_TJcTbkbM-r3SwT`k4dn|(QHyt8?nvz(8-`vB$6p|5Pc z92Nh?{kSzDSr%`nb<(#b{s!!^2pNeudLdd#5vHnX z`GURQDIZ4dmz@v);^BVWZ>qVYUo3VF`p?gmh`0BvdK>E6``DYCS8d7PhofF^OWB0$ zsKVTqB6J(ZMel3&-CoNH*|sF5mu&f=Ul5m{^1xp=M!o4>H{5bn?}uEdj~GGY>YI{< zr*ko3@J-8E;Hs;C*|PHsz z)A6Kqu3K!qVC#A1zBDf0zr(lk%Nk+pSxZ6u(<-#D3%`lAT!eK1*ZX>3x9#v>&MZWH z<{ZSI_r|<4Z|W+``LS-`ynHIgK|g4>3Ouw8xD5SH>+-9HKEGXtbS~_{dUxvfU0~y# zU+Wr=^ithC2Cg=o^22q$yoeXA-H;b{=g=G*&z`uFPP1Cbw~Tk4XSwjqn3pHpV_rL6 z>&9E|1otC9EoUMRqEssS)q><_NT)t6RB zR_XyAT{sKIMb>^1W4SY*_J5O@lX&xo(TMlSO1=;Lh5Yd5n^$<)_>_;(Wmnr^-;%jp zeQmrxwukcHU;yoBSK|FFH|55WkM%*|>h+NBmb2eVgPZ9^!Hs*3{#IYC{GImGyoJCW zpJ6p@yjZ=2bRNXeIL3Av4V_p+yy9|jb*N|%;uE`rE3c#A;=9*y%lYA|;5^P1^F&vw z44W#rfK+C+ZT>QNr)@v84|_%RXrQ1W7teXNem;*fsiGMa~`=r9}4KYqb_l5!;Z zS7|Yp>ww>&FS9iV7h#{LL;wC8(rGXp>xdQnFv;qxH$`c@M$o!rqB+)`KJNxDC)~&Q zsK|zxZ({i|_>&`NfQwr7u`cw(MdW+Y3vgDY8Rnt7{|ubXa)mFQJPq@T@83r{FRD;J z{L9X;e#{;ZaFH_?{5qNP1zIkADv_VRH^IO2*OyrEuwTI0=q$vmwO?hqR5PK=UreQO zbidfga{Wy}-%%s6-ktI#kq6U$5;*ITK>JM9Tah-NmklOAL%hKao3hAqR>zI}b&UdN zUYiG5?x_6m*xqtRbI{3mcV^gB57FBW2TRFNp;(QJ5d z-osvh&AiZ-@}IfzBRdvEznq@0XkEW42CjdmdFWir(Z%YBovz@j{1oJa4K6hh{QW)} zr)~8pPk$BNh;||pDBkxcTBn20(7reGIq8qB39g^*0%uMaaCSI^bm|NkV)f-#n$I${ zAGp4GFBt94*iSwh%tU{k;l)QF{`3Ush)S-|7aqN!FTzuiACYA<;>EdW?5igA7C4iI z!Oeg&^Q?~Q7(jVW{Dgf~OwKXXa^_Qm{Edmnb6h9X3-(CI!ha*_91Eg6PaGI(wcP4BV-JDrat`91woRs5t`EMY_z$#xMg6g}EEkJ@ zMStb`Pw1DkY1K&@y@$zd%e(IE^d=Jfm@!}QAL&rS2j&@mG{rPCO zZv}9Emio&EZNqcN$w%$#=5-J+i!4XpoP9Uk`CU=Ftd^QEoO}!=@T(-^d`M?|F$jZAwN3)60F>YCK9$>>F z5U-L)(0Yk|3qL&h6Sywd9b645fO!6)B)GWu4*Q;|aAbn@2c$zmwZlPUX`c|0LXFc{n-xN3l zF86Qf2mYoW{L3;~F)s3Ka<8QHaP@%3i#0xFfybhZlN5 zKI^{Ug)e8+jubPuF_#{2>Q$~6zxohrTp>xCWirE&3g*<^LZ^vRUB?UHzwYIt54<3s*) z?tvd?;a5DbdFh6yo)P=QN*71@*_bgg?q(?h%ZzI*ShTmlybw^6_%SQ zI#)?e=LG&acbw(CU>MD-ct-J=1}wE)FXZsa!@i~9evi(}Y{`=R;D@=>x>P?e>1??u z-GK7{n)Vr)tx|MSI(Po7Oa2cWgMX*}ipiF<_G@S!HVsCeb@mhCR)-&#F-IPw$ZnOJ{cMjcdXF1=}iJl`W4dbE{ z-EqD$wWq>AAGZK{=4hKRtIwCyIgk%~j&&!)k4IQ87i5KwXiyRHGP>eI@Pq>3a_}Sg zF;5%eTq-;xslSh|qckkj9QaxHnSB0N9_^cjLnm4;BX8qc?O6E(geO_Hi_r2x%ZfO7` zo>04AKERJ@xB&CS?A}lDCGtW?ynF`#vc*E;p1Y7A-ni6o+b&;~@jUXXgK?KP5sN_}6pj zyNxsM2>ghDo=&j(ruKKlsp~1=X7x;P)jExQpQwq_X;F^bcqi}=(ltG?PUYD}7#HW+ zU*IO!6vWFs<@+FBE+pN)fr#f5uEURcN9#)*sZQfqH32&MT5rVbPFuiry?p(wjvhqs z>FOLuJ34D&=NTCG9DmQ1 zR^N#`NA1mSL^^w$jCk*uJ^ZE zY`H9c58P1|D8BCKm6q$`?ZElrDB6c3-v@$kd;&kr%bWP4Hpr)%GMD;ww>>zkABS;~ z{v6!Y8v`!J?;LM+)Yc!UUr$be>&A5lL%;7PS}#?<(Yol-T6$PNjWSXHFS*coO)eg5 zxwEz)blB97nCEh+!MHe^Xn$cx${;_^nz>D^e)4I^4-}(Jsu=0tRf6n$y@X7Lx-|Ued&mL3$b+!^T zp9eI+y3^+`Kwqvq1V4IWe6-bf?tTUr2V*cU{P_rsi<43u>(u=E5?s!hiG6^jen32L zufd%@v%pou4d7~hJG3j}%FKs26j>?V|5u zCWg-8`q<14mYbtP(O((W68T|GN-ned;>hZ|w%+NNhjfyj(Rr`M48*H>G|%~eE>SjK zcWivm#`77KF4$7LT-#_%w%vtvTHYZ4Nh>E>uIe@b=RaKomq8aNg{8L?Ur@^2pmdk!?!SyhIaP9ubY|C}uXQZEfKiYNH-CPWQ*&ST%`j6Jl>cC;p zVY|TDG2g6|%}t>r2k&pwAjUmyL1cvbxCWb0EW zUj&y^Ct#k)>=nk@ce1eUaCoYjr?k%+cbn(S^ zHuH(*i8=Za+{9I!k9J!&qC8wW1AVdn%t))lO1ptO;m5$8x8Lxcfp;|E+W$_*diTUS zB-cJ&2reKW#42cf97bznSgxz}ejk6KuTNd<60A&nw6? zTelGJHM&qu_*CD{Qhc?%fwo<9zYMt3H4R*sI@s3g=*_=?^K41rYR_~(8!umL=$rYY zp|2We!*hfey+i!mcEt0O&xTtanMS{pFc%Jho7~+dShq;_|oonbjwTgd;e zuEw@!+UwEKIkuJbTf2fgZ$8t$@i88pCvU`hHwCKF|8aJ&rucE~ze}nyR#}UHeagpMv{{U&(|0hgJNx*v88S zG2r?meHS(Re!=?HG1I}-!8Nq5z5Qvv&8Y&;S6@M%<$=!F_vCL8)Zfq?SYIrn9>!Ni zECDyGX+6qub)@yfD^Y*N%0^h%X3tPx@H(;3mqAf@-kDK{=2@S{w-UxhyVSxt&>7Tw zIs9i!fIh#!81Z~Zfe_1e)(6lL+3Ejxs$!o-maDTg4|T__q%&M&|6v_yy{Pj!kvG1_ zKPt(#tNWl`F=!d$*}{FX(D^YpID2@2_}jS=mh%P2(JuR31mmKkThTe8T{mzOke_(2 zV>thq1=+!!)>ok;K3)#CI_BFk^h*_4L_P;*?}>IZ)9(8Bpd(X2<4~wEBIj>BO-0Q z4!BN!4lg4AzqO9A@$3q<%lj~_3pTMg+SP|QBVK7b2b%K-LamOG>-%8_a)suIPFjFPk=oKEGGsw!Kz`pG~qQi=p2|$kT;sAJ{jF=G$=E$JFZ< zXjjdx&@CxF+>G!fKX)^}<1H(?%IY`+14(~t#{U=AMANzDvj;e98ieuUKv>)m6OgnPOqWhs&i}d(}~_Y zSgjCn{qDkatE28m!oL&$FL9TGVV3hR0)BMrNE-KB`?p%|w4IN5<5VO6t|8dR#GPE= z@Z_=Gh*ux_6R(nas^!kp=j3PlVQ^<^C&bHpA4z|6MdXLMtsZ3K zMV6l_|5Xm6U0ET_8+>|M%3GB!;QEO01g}cxG`T07c;d9imh%SvN#|o`aJA=}kB9Zs z!VUd3PqJgYbn5FxmJ3Ic&;0d~H>b#5_!O_FfV0;xF|YXe(L-!Jt54%DW4?ept!GN; zm&=59Me&Vj*R)D#nv@>SZ&gOS{PuRtD^Xk;`-E`j8$Lar2 zd|2kTHeNUPCqDs8;gjw7fPI+vruE3n(DxSQwS=BKp>)30{b|0b)8mF&eQ|Owx zjaTtCQ>;GssZHGPFzqw%TK|doFI~X(*o@!BTrV-o#szH zKbY1<_~Fi$oBsDnzt&oCCwjp&#Gf+gm#J6~^HY0eACi_i zvV6#S^h?z5g1oWGLzY;sGkzy53x$9?6?=vwes&_|;l?w{!}`D#;OjS$PPJY%KUe?K z$0J=wGTK-5UHaXTsu9@Ja@M&AeDWOh9Ap7M47J=Dxq|!`eMtM{=M57r*F8>yo8ODk zJog!f^O70x5?nmU_`lfF8cS@viJXf3=*W25fAT-4{iNAB#Is@riHCMwi1;E)hzE5B z=RQO5e*t;V6P&;556;>Y!u*s+>D(f>wFg)6KVsd9$;Xig_IG)TZ&DKTlYd+Zt_RZp z!I|F}nxCn3ZV@x-cY4l}@jI;_wwd-TxqmD2&-13uNlM4OGo6!V>2Qpr___$|&OD*> zjGQ!x#%tjvjEnpfhIaYflcZBVT3H=-Z6mmq{kPn5v763U&gfSZ?-qymJJFcF z<2lW5gNql5(C03+U#Z@-kFhw9D66CVms1`*`r)~t#$OBZNax&j61Zu(99&Eq6#%|s zB=L{~;3j(`KdYlFu0#IyG5Wn3yPp~BO9mezeseMAgA9lPPrv2=|NakVKs5h+*3Ki5 zb-_bhvccCT+TVMtz%S?RwX><^1MuKE0ZHlCGIK%fFJjAD+IMelq4)ifXNXVjNAoMb z$P^pTFKnTGr!vh`S*QWlqu5mq`b^Ej{1yA!<6O-@QM+xyq22nW@E*=bjEBB6^at!S`p8~-KToFLC+ewofSBJ@R<8nkbubUJPI+38lur#WY)S{?K1FK}mH oPPEG}6~p%*z4->kw`hiTRjEn%Uc~D9!>4JTfOcg~HY4eO0JB~OX#fBK literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/0.npy b/MP_Data/pose1/11/0.npy new file mode 100644 index 0000000000000000000000000000000000000000..150e09a07af390ad28f4c212358ab22d4af168b5 GIT binary patch literal 13424 zcmeI2^-ZPEzrL@(+@I$=*L}^IGiTy?F#0d=Hto8mW20Dbg}(iQ`V6m7k5_2W zzfJ`gUZH=$@Dam(hV~8^-nXCS&3*iX`la!p0Y1a}rG2jGTDx`)mr5=?g#T~xJBd)QRsDHno@B31_`8(Gm+s;3A$M{6&fJ+HB{sPp__Qe?6uDk}IT^|{A z*0zgY)b7O3LHxSR?dw)2{d3&6?Pe9V^L+OapQ=^thHZB`bTfE=1GVdcWuI9tCiuZe zbQb^GcJ=HV@~dW?!F%%UTg-#Hr2fYHHNR8-Z+!XBzOQn8qR+RN9YK3!nWvVElzK<) zQ%<<{0y?$%mTlKdD?hiNnU4Z@?w@*(_78~{Y`aSBgz>ORyUtq9pXEm$`O)>swwhRHi7G-x|vF%RKS9*W=FQ>sb*1HM)r2B7eyYPR5e)Yg`#LwoGqxT!u zy=L3h4;SR!dG*J6y!Y@S{LJx#Z*02`?n?c4OTjqIqs1SrPIx!Q{PE)(@xC5$?}Fw0 zko#@>R357-{@)wpeKq9NW4z~i0^=7w@~=&>K6es*EoV!Q+_FzzYAv;gRa|dBJ9(P; z+ozbB3Gb@|C4S(ucc;nr$xcVO;&Z(?yl*BIr}jlbJ1sXJ@fGZo$Ie9k>4AGQh_ufl zaT4ZPzxDdiDDAUez6b9+hu5K9$CaRQHE40!wu^pC@V@Bhl@af&KByygb;&clKX@GV zU#}+GO|C+iN42L1-giz$L$B9;K)d!y)iy5Y>-dlMefItP9s8M`&z4D~Jw(cin1r;a z>AU$g+W*;%c%8-HsJ{DMSYX>l=Xm0idtS5e^W>tjcrSS+ICH6h`P9Yw%(t91=nt-v zU9VWZc002iyaM^Knwzg$ZmM=(W4Xz)0eZRd1oS*1ezoP|{Z!&x*J3|mIl`hW=ku0h z+|H^Sfhf>NjQ=I3K-oF8Hps#CKi?H~l-#0pCnM zd~*q^hoxg8EO*{-qW*DDfpnz>Qm_C6=?GA;vxJp(lUF`ZSSSmHo_Px?;a$eSf`dKRbD& ze5_udC{Fx?8@R0caDe4({2k1TIa!zZjDLKguQvspUB8L>QXYqBJ*I}kN3Tkzd8}2I zTfOO<30!&%!91$RIWj(91G?5T{=EcBs|sMct4$ak4ag z#HqF`Etji5fIA1?LGO4?2!p@BCyguJZ^*yuQ7hE?^G1CzFS6x(tUG?M<3h{T@xkCa zX(Q@K@12c$Q_1=G(V9aF8x$6yze_vn9PiPqSCuhW2()Y{;&Z@X9fRE>R z@*hzfT;|<|d3W9gU|ej*L)uS%l)`?Z3*LoZijmj{c-+P5@Od*1ocYFstGL~hEZ5Zz z)BMiwlIU*Z+tX&AeTwU!C_g_kU|eEK2ij)}Od?)z4Y*np($4zu(rv)mn;OWc3J|Dg zIV=+X`s{Pc|G>D7*56dfM)B9wG_ESEF~4S1BXH;LE8-dazdrx1F<}Mc&1z z2YKro@*|f&LBG2Fx_-8uXW9*}o{a(*Ey_h&Zoc{xs1tUq9JuJR6r5*x z7oCu%cMc_^UtazKxNhD9>qRUo0=>@i0C`Xer?Fm~o?9r+X4R2T_IUx;g){0T@e-7O zy{qgr>u>z2&ei)o(98YXkbeygbL27ht;-EylJ53*4F?)MRoy!~i~<@%@_I3J$~ zEeh!r-6HA^q|@h=<>7N&CQfIS(54}pi89nVRLC;5-*Y{p7fV--Z@dUpQxKZDE>Eh5WmwP75Nc^3d2Wj zUVwc@9C`_EE;b{7@0#%8OAYZFQz*{s)o0s&&Fn?se8V~Hlj>A9DN{Pcb-q6{nKelc@8KH&ce1_p*q=^hw3n2BdjA`yy;mxPI;_rh<%DKKhN3Q-LPMo7IXa&f1{(c9^)Ti z-N`TQ!YtRHcEVpr6hWOBm%7M5F=8a6;(vFk^PN6)}Ibxx$4W_`rjW#Hmg zWvq86To8SubTOhH`BDv3d^18+fgU%-FW0*l^+xi z{|WUd9=8$TPOC{>Ef>S+{vhscrTJ>V!Qc9@x4)oYF(jDyi7mq|*Q*1-oqeUiMe7!U zmaCp|6z6P>IHk+WAj{2x=7>{Oy-wq*{w4zYz+;HhJkN~y_4tv~+|%?dOD>ADB7@%f zwMl^G=0yaJ_w`=VSMI*b`mnIm=$9wGLp&y6A(MRNNA!CDy;{}{ zTxZ=&ac+(Wm&XF(uRXufjp84jPXpQ+zdv8ZQVs@_r?55MA#e$}%= zSih#sz^zvA?AQRkI60Qal_$U-K4<>GxSVFy;ltc~R>G%uFZ8Rf%}3p`&J`n|&(;#0 zW$1(Zo3rJ`Qt-LH=$EyxgZTNpqpK`e559n#tZT8}_3I)rmh;%D;9}Qioa3U`%O&u+ z8%g789dj4&ukO+(Ax&?}L?TXo#=u|B8H{~Kg+xQI_J$#TnK@&q)$?V4QyzAep#1+C zO6S**B*bry97P`ZZPwoEWoj|_$Zh8+&qY0YgMXm&oo(oe_*G0X_^XzeXY89 z%~9uOM@EXX+?adrHtr^KI^&sCk^KKWjB&{aiPJ3?7Y`vG@mGCtT{|G!a$SbLNAQi2 z*azg6!c!6~uRII>?8;d3&+F^JXFlD396wsu;_x{ytLNoI(64i9ImRVUidI(7yqAEp zBD28Rnmc}$>)RJFE+_IH=7kmC5^A}e7X-admkxTTDD5+BXhZU;f0^_{`(nQMqb%U! z!5MJ%?cqSg^W;3n%OhWcJ9W1AwVbut0#sqSf5l%RW;49G_H{DuWu z&d25?pM~$h+1}X`tPl5og7K!^ljyuSwkOu=o&Iz#3s+B!msL&dWw~^vdzZ894eFeE z_+q@g?E?7A{BNkP9-j$@|Me*3L5_1p{Wzh=Mpz%!F&O>IPnR)X>EgBu{l?P%z(2mk zeM8^hf_s9BaUuWoMX@fNOaT$rUqt-|&Jucov;XcR&(6f+;CjwJa1mYwT#u!Diw^Lm z@eb~a{Zs$ALUDGZ`-3PpGtByHk7M9EI1Bk#|9hI{(qjj>dif4H7(?lc<< z&hvJLk8`34t-F^OFkV*ojh7v-$ygL|stiq$PqX*vO!WKUA$&ykj8va{zPeg2f_8(m zOGUwD&h{Ox4|C}L!{5;NK6Q2RRI4|<2Kr^E7a$(dbAK50b7&s*rthdL5tf4QM||=b z_{+aaQeA}<0(ZL8?-J^4?ko0v(IuO*{?4zRDF2~z5Wmx8bPV`vI=|Ru2V8GXA-?lF z{GFV6=p0#J3Uw|EEP)TdQJw0u^660Pqt_DG1zIB>etId5YiCW;zv)JCzHbP<3a(E1 zSz3_hw?~1Y)<-p$;A&5Psy9{{KBCBI(*G6@z4od<2JshsO!Jki0O?x#~#w_H9HPt7jFzLa#eCL4B$N+i{=a7aw7LG1vWwNALTB^OTiY zNdAp~u9tk?{j5L#xQ6uK+ESf#idL5E--@DNnd=4ZV>QB152hJ?U)F1fq8^+~1rWb! zRf_7tqYL&o;oXVqWaDe{IU57cay^Q%@ryqiK(89!qCB*}M)#ZvROh`d%P5oCO!%U-((hxA(=k%c~G24~L$84_XZWL@(lX+e6O> zUBtXNpXr{U*R7%XZSWQI%l+v4DceH#NfwlDC44T^dN=Wzv0ikKLQ$6UvE$)yO7DP= z&hrX-b&ojDc9Z;{E*FS6A72;WZ+ZM#0w z1$w>umj%!-zE1rHY^QMrr&682k9lO#A$~t{q2+p8W%4;s-$zXMvs0j-6AR9o z4WRWheJi-GG5}m}2n6TN`bev1V{d|sQM4YNDo18oE*5?Rmp6V@f}LM zP7JuyJaiTG*Owt4^W;4C6Z5EOFUzIpE6j_Ub`|@W=~ZA}LK=5s@6vqv&BeaQ{)>;W zT%K@&51W{YcyKCy9~0NTz}2%h;Lag~{e-g|l!ue^h<8eddzzEC3h6Vh0q09Ra4(X+ z;o#y%JM7!?;q+lPPJQz};*q=~>c@#}x7x z^Q@1|{TuvQN=e$UN_1>(^)h=aaC5a1`FH3=(BbvfIrW_n)s;AlhMzucyO7p4S8k-yG;PUHxd54 zXAR2#`0#k}LuH^B$+IaB_p0EY$&%jFxT4PzKi)Ue_A9TBqJ9S+qxnrdI1)aYdVsU& zz2G8xQXk88)X%&0+^;zN^}wFstay9Wj}s~= z&b}eU%jA|;FN5+EzfSu4D z6X?^r!|$wT_at&wNbaKIv~ckYz{7fqHy@1%b*3O>VAG4H&qBLAs@xbMmJ7r;fG z4aB#TIcN3Wr z-0(lb!Gmu=ud>tMcX+Nf*iV$KK=F6kk9hciHi(~>b_Hji=V)BNU&TJ-xVRI~luGe` z&nT_G;j|CPZ1ndFIkwF>%bl)natEN89%0%v7P!$%y+L-QL`2IG<= zvz&#`@$6VHT4e-hGd&aWe&TDaUvcOOeB|V}SYKjC^RZ}`4mc0oi+SV`i#-z3x;4eW zQ~a%6u)c)J9BR39i_QyucN*5C4rz@%>()gm{=&s*UC)m}J?mF*!Nn%}d#fJvJlgil z-GUIO37&GbUzjXVuMbh*Qqm1|Ly6 z4Dpz}R9EKY6U@6RO#itpKoK|DHABMxz{LHlAg)?sVT% zG%oM4!z^b#w!y~Y5q- zs;hO2v-A3K2hx6$k^{hONtHXNiZ)#Y}4e;-O3|!?|3?Kd3W4q-d zIuKl3eS-C_3(ci-{OC&37wmvM%l_52SUtNk1o7yFmG9#7q!A(Z$p;@q-b9@n$d6jF z1p7AcO8dVl;)#A0E6^k%P47f4gumQI-`AWu`PNwW$xv0+&N# z!G&K*oSUq6Kg!R=Pl#Wfm|xTS%Uvrd{>E1j4{Q8yto0W@naC%#K7QBIT`mTLcT>d6 z*TT5;$hMeA5pxe*myEiD_^^sn6pjY83ROgAe@cWNb%@15mJr3?PeHn^=3oa)9 zp8mg}Xq*o9V|>qmvpb38e__oWs~1`S1DAb2gNxunQQ&L0ARck|3-&#}qjJ3EYG4xi zzY9YADrtGN<-7pht4;dvsAmI9csqaGzx19D385{@yC4>eJ{i|<5`0F|{YpHh-~U;M zBcrXJKd1lC%5xM%{&kG|RLjM`b{)0;rVI2#a`fCU;&?ITW;#n z_XshiD(X!)dXM`U57!ju#Bj_P-&1vpjYs_m24_AAsB@irLN&`Bx9Q+&fS`T2)ZIYK zS?3SbZ$kyWO!XLJx!4m2E<21yp4FX&y)8HGf2I8IJ3>5%#JUz8vO_OMq(^xY8t z%KpfMe(`gEp4SfZqHblyeUJbA-skM9hP*kKw=Pad^I;$99;D#(|(w72Dn_m2R@?yFW}CZ9OJFt-2X)J zH~Sr&dwETR&yuo~ha~!aMy5R;afYdQ3vj}xy=-}lvfz8(H`N`gE7 zolv)Or`tly`SGXd*Qppz>+VJtn#Xs`DW0K`ROd|xVZKzuPT+jU5OD3qP`9Qt?K4c& z0q47~PO$#0))%Z77M`B;HL{FDJiUJ2$6Q=!Ua}6{W4Tyao8mb?kMe(gXLv#ym*w8U z$4NgLdKn)--*TfeKri;XLC?>;QI@klhWc$B4X(YeaHsCA9B~y!lo1kW>e>L(K%%iCElp@ z?0wr1tLGuz@%@>_jv@cjsnM3pNOjiT_FpI&@5zUMEVWz&lmO>RVYClqneAh_z8-%D z`o~={Uiok7nb4nd0~bBsQJy+`!{6jSNZ-$Mr=nkH#;^re@9f%j%KGrvTXD|H(%EtD run*(Fm1|*)OAbDVJjiLiz}b%fD9`RN1seRvKOCmCeAOw-9T_z-A4`OKuMriG=edj&# zQG06-wT^vX8nqN3?#%1t`wx77z3=>TJ+9}R>osT2oH;Ys^-fazuI)Moe8PTYV=ILA zi|RYPLVaH0`>^jS`0@&2Lx)EX?>!`B=Sij8siZ$xit?66I zmyhTFzki>z%)fQdZ~0|jOsV?m?y8ziy5n*8+dn>Y_k4fL+wLk}KRS!{tz~Yzc3qO% zb&#g^_vOyHcKw2*oq1=q`@TiHn$!pFVofQu+yD3c=wj6W`84RW9&>LwecphcH|zCH zr)$UFp!Pb6XlD(x+BcLzyUF(s?Y8b5w9DSqZd-M~9RkWFxhgYo2-SMYuH{ruU(IxP_ ztaJfa@mCW(Z<02icJ21m2j+qX8dtH zU*Q>^m$NqFIXPp(RoAYD`@(C8_>=Di78NcsNdo_CEh??uv3dcN^Iw2Lt>VQ){Iz2w??z#MvhW|7a_^GeO4 zJSw^PDW11}^nBS8Xy?(Lkry^&gGKw$mdJnI>O9(I)w>?&m*~FXjcb=(?_YQKcEe+| z+iKm9xO?vJ|I)RqTQA_R4ZBM7J9J}`$33^=2{?Pa8F`@IwqEYIdUc1!w=4kjqL;+X zb)5BH1Fovh7k{*J~s`)9OI(15QT+FbqIX(3 z$L*{XivPkZ;5OA$-RZCe1IS+71Xnp$v~c!(S}|}v?k8~FIXT*KcI6$o3|K@urQ-q} zm#-$1&PRD3&sUug=5aa?_koK+A;jnT1v+kP_=B4v6TsP@gMu7q8>@obI$Oc*y72Fu z9$WbYLVoi6(Gwikl`2#G8@0tck^9#D=yX(>;?QA%wcsaz_;NIKE|#OXnfu_( zuf%f4d9h!>&6=HLAA5M3Fu0LFz2L8t^(r+*m++NN`>!?M4aQS)-IB))N zGWa zx1RF%e0OEf+d^MHx(0jm{I^N4&+`;IcFrV>*W|d_(b3P@GzRwidTWfAnZ3k| zyg%!gsVo245$|+FGm5jW7joKhePmk~Tw{JizcMxz_I5|#Snyo)p<}A0P@F&eHQMRO z_|>pChcnQxDm7-bvlnv)gR>)v;KsW|5_FpEhX2y9HjTIOzjK|A_Ku@CJP!ruegkGZ z&i?KJuDs@uea$jhFU)HgxJfF8INPapP;XVCGNe=DD(vN?CGgWcs}HWv&^)pxz7wJU z8|AIsc>wmNG9TqQKN1Ujw&ft@bIcR$kK*45a21e3`u9^&&(+cSq@RBl@z$HBI33&Q z05~5pk@PR5V1H5nZX%s6KG+vTjg9fJ|6wnFt-iFW-B?=)QWQl#0w`Kp>;FlR6dGtQ% zY${9hcLO6Ra1N?c!+Ybfx@c z+cwj@$1Xq|crnUnQ~XQV%jxS8e>3oF_@myAhrT-0GsfwNlnm&rR4=S|QSnt6^cU3w zmuLULKBy0S_ji7Z*;EIFS%~_tznTyKnQtNJ^R*GQpLXazz}d_Ek1$@g{PB5ruVjHJ zTqn_f#{+_)qmHJN{}p;d$8;KsxbX)clRcTwv6c~(C(R2W&g`D=Z0PsBPQ2Hr;3{v* zaK}wLogZ{PnlIUOSzV_ieoDr;%_jCdu$-huNdDS| z!ylt&V&2*MoEWdo*A({r@F(M)j`+PZ?B(mvVb2mm7CIePq9*#);jOTKdDKVr%R1+$ zeyi7jj=fP5^DF!nxYjG+zg$&o3H&+uCHmDfnxnqi3xg9~zxJ9JxY_#wT*a(ghYiRcHLyE^wS*_ypXpyAS`xtVsSvOyjyVf#Q>GOiRaEsjAd(wd`2Grg1~$zu1>Z`s=r&{@6!(5Fb`zBJ9n#LDoI5 z&NnZQ>o8Sx zE;Z^r=7nGEKgW}4ZoR4AGQYN17jo+w)B#?F&Vh2sJ>;!w5}f4h)wxvY@Re_%BftN2 zuH!6tH@Gag9R8U1({X-~;e+6hJ^c>rLKoRK$@yb?8gSDt2J`ienym zy;+pEOE%JY2bLlouW~D3-^>gB>f@hdyrP;O?6_+6Be-FcQ1@)u4mwv_(FokMI86Q&YK4AnaBjrMaxZ)%$W&Mtp~^}@aG;XK2(X03}#or#awPVeJe!pWcG&%ouS{_#$qi>AbT8tS*= zS2!oA8+EAP_WP*cqNl;_s&e3F@CLGPQHJX9%Da?Tb=!gSz$&zUt31Yd*%_K&m3vTx z8!rzV3>`k=F5)c13&9_gN_ATgK1}o8-5cwRccZ#3=UQ-Cd~_J%=1=c0I%pO86HqxbHZq_s(=Unurk>ZACa+)c=Rdq^Ueya3x3dp_^WYyFuyi#N^hqlo4)|JZJJz>*{iDbey2|+V_e3&GtKXQdM}fgZXynLeG{CM)#C){sFs5KnRNi?C0*bm=?^{! zu7gt=!k?f-vfq(|^7+B9-O=x|P{35+)@teP*zRABkB2V~* zHkdCx@CLa4W-9VTglDbaZUWrg_+=UVpObaI`qm%$$!@La=D4x6@2J8);QZvlq44MX zvE=87yx?ZVGRz~tN9R?RQk``C<_&`W8*kW)QX|R!)XW-=%hYR#11mY6>YmSzWLzyE>dj_a^|(BTz2QT{hrG931=+kxwHKZ5It$=zTdPwxfxi%@V`a(#7A zrVgudiTnwwPCTP$1;@>3dOzZKGvJRZRi%N`kq_w{sIKk;=VLcFcU;}c2|rceHt&TM__Hx62X`Kcy0_Ts{(>yl6hI!F*wt zoV!$DMbdvuzjNuR`?QbjX$`K1Nt&2M@;PwkzN47)WNsjB%J`{&D-C?hLl$z?e*xnJGS5fF!TgOs+&R)Gc39jaRP5%G37I9PgCxPp?UxAyzJ1Ndy zzd8zi(}3PnWX{CgPG7&TLgU)A^Rly(U!~0fA5#{b_w7piW5P=0C+jr;oK2^?C&P-M zKAWR6h<{%Y_VWFc7^h?JwF4K~x`UhK3JH$0Izx!J?@jvk)5bb(+8-faB!l?k65ahW zIrlF}`XyJ&nMJA1vPFt|$24K5liSnjy=^gZhyX|zwNurl$^Pt_$4?Ctt?R5uFV z!1~o|pO8+~=J3Zp7$BX!_NxvZKA<1Csv;G1c8>rzM+eY*N0sg?9OpBOLx){H2YdZA zZHy;$9uZ&A2l2Fdzm0U<9Ni0jnf3(puEX?3$CalW+4ne# z@tTvL(D^*3I=G0S@3gk(b;QR!+)VZXQP7v?mf_rGCoLvEEu7}@>xT`{Z>|>TSLJwv z^{y6;#korbQv7YNP3Tu%j76Tv?DL?bO)$nQPUgmYIzO5ME_+;{x-oF&5RV(zfnDHY zTmIANFJxuByK+YPz>k%IJzp_*q2uhuFQmVwFXF7kdz>rGo>3J41q0Eqnc=m-*(=X% z^8eP~(9yhjD)eJ2Q@^$Vjd#SSSVvL?g4?u;;9^T#0i4}w1kQacD^I4rZqXWC zZoN-&nBE=s`Y!otPSEci?70W)f`!uW`0P>~bmWNw*vENp;_AJmey{Z}>HO5|8$(~L zN+x~pCD=z~uHMvdS^(LPyE)SNBi{;e{Uik3goI9npMFKb%}ttLn_6g!g zjuIF8!CqXT{9$j}gX_YzP*3D0sz3btYv}8T1&~*&P(|qQ@tdgMz453sT9*R1C+Isc zA1Tl;pAb&|WDJEpTj@O-{wy3$_A@4se#1{EIBtR|{^FAr;CAXe1>R{Y*&jIz&I^nf z@3>vNh4g#)W4(w6m!lmQMb9H2#G8{?@2cLxEq;#ABYo8_0y<{t^?uOzA$>WR){9y2 z2=it3lqP-AhW7U@ZxfxpmIH||EC9|fE=OH86DxtsaQc13jy(u_S&4o}XPs`NzVX}7 z{GC5)>rL3RdyU{HTfcay&ch!lPwIU{Vx8(OvmMrso=H^y+4W%bCbb8Q2wj5 zmaw<8|ATsKj<<%rsT_&=sc)W{i+<+Rp?*W_AfD{m*ho*NKHn2U{(IF&+}O38w2t=f zgN~fm0`|sxpLRNYPXxHi8w4&Eza{+~HOWt|!ENDI3GnmYY3Q>y3&=hrV;ubHoRvS( zlJq;JMu8`EfxXOKigbqF=>vX^ewUZEMq<3IRyC{_7I}dDDKww)J_J#}h0j z#SI2$A1hpQ_onMT?8_$CU2w5;D|AHgrgdmvwT5)O7N8E;Wi?>W-ftwG*!#$T`9ptv zPqTUGd@ExTuA{#&|H1CcBH!O~S5dME#>IP7L%yjtS^01-8U3=34}(0JcDC#~=<8MG zDgFm*V4t#WZqs;QmdKiyDfHdr!%lFsu{Oo0Vgba*K3h)q@f!ZC_WPvMXWyqmUsg}2 z`8xh7@?2e_bs=|sZ{csATJT?VqVo?E^c{nDPDpa?#-|ebnV$8%Zf+FfEId@lWHa(d z_U03vJ^K(w{%k7^KY6)*;JRLWaQQEthwa@5an9cEOoG1cRRQ@d3VnqVpd24{o*(16P5;=+|_n_YO0P>{ZXC$*y17G&}lLhnK>h z4VyI`{`ebkwrl~ND-I6X=(woPC=OG+FfNmO5$c#uOQ3O`rSD_*)XP{;raf;Q0Io8A zL;U5(+q7RyrMjw<=)0@#@D$v3tP6b}+yr^6Vhdv($z}9^jB*&gckpI)=sZ@1;%w$; z!#tWxRfePA!Hb|H8h(d$A=SOL&VO~a9r@EH>-U-qLnk?|*V1{_t`9?9;+xZ_I~}om z1MK+#Z|K|RyW^a_=x_u2c4;Bn?~W%!-xQ>C5i2tSd8mse(zzn0Gxd9WKIP|9-*~5Q zW>bA&cTRw_MSmqYuD11|e!nb2`%#0@lO5+pBf%}(0B)|H9OJm2O6yCs>JJ^+uk--u z`y|6&<_se4xr=>GgsdWeRyF~*s}u3N37dNn+*CS6=j}Z6syZFEG6Cb2)oWwC_KYvy zPuUOoN$2DVx6{b2`)vyRAH(SIE2#C9QnuB?PV zB6Tj!8n35r4Ld&dIjvDyp|WMPi{7P2U+z=mN^C2l;R=k~6aE!w!m@ zm|AzN^G8IMM87&W(`)xmojyo$6Cv-h?s%ZmmL;>t3P{2gJ1p={_w{Gp>G?$+Tyt0 zFc9`^>T$%GMW%eLKTUC}OLp@kvhNlTeO~$t^5;>@Iyj5tI56FSoWc{9IZP@llhvV}50u zGPC_M-87ym;3ho|-1M6d?uPJxfB*X;plWtOT{ere{@-xwwlMs^_l}2DPmlDnE^kDU z_7Zv3AnSYO(R|pC?A7+jH#Q+2byi=ANBz{fOVNAi<^ibhBIN+Bqr0PibULyL{U4qg z))@AtGpBmev^4C^@vmX8`?sZYWBbM6wrFeeH=uQO=NHSC6MpD!zhYgpV}CPj-snOrx3pL|&w?6p6g2W)Qoej$VCJGokRCB*ruy`#{t%vgil;SkRtB>2F6ld-HP}_`^Ha!8+xlY@Fl#vkY(*-JJACU7~YW z>~@S(O_~WkzL&)~d+{t6;-Wgz{}-{unm8x0pb_Bq$0^WP?Y@}d>}?_Xe{NB|DfC6T IMl(GB0}4dfxBvhE literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/10.npy b/MP_Data/pose1/11/10.npy new file mode 100644 index 0000000000000000000000000000000000000000..693f23ea5b58e9429bea7a9600d1865984fcbc2b GIT binary patch literal 13424 zcmeI2_g|Jb)W+l9ySPWRRjT4v+>)ww@4X2M?u85MB7it>B8rNLaa7!U)v83CRqNg} zS{zkdcNOPLuESsO{`$WB@_e3euKUW#$w}_q_d`^h&aK;ZPs7HsiJtxeqx+5WtiwI) z^{?gW#Xb9v7&T^;-*Dd%qx=ILZ{jy}bU+FpJVI4$#;3>4x$6A+VDh);4%~PCJa#+URoe^aT|3L2 zdi~HCj86nyp^E{_g9=-PP>x?Wbg@!YlB=R^K=pK45xMAt4_W+c9{z-7lxgIxc( zPq8K)^;dn?@%o?mre{+$<-JL+va5#S!tphxQ+=X*mIp}o<($L>>> z9q`3{n$T_=6WsR<&nmg^Vr}9*_o*I^N4tLMyUl&Kd8?FhpJr`dTrWHirxot|!g0{^ zo(H})Nck>*dW`S7z;U$e8EJ3Buf*B=XrEu3`tRF3ox7eN45fH$N4$3JCg>2ZHyvA| zUHC3RJ+W>T9=dk1vGgOvk?A$s&97aTA-=*%A6&b=b{&4UY^L3xUqPH>-D(j>z_ zt}*6GDG$VD6YDHQduDHN-v24`Z%6v9bX+~C4$dwvy6O7SV|Oe7&;ADW#wTUF?zr&n zwbXIGuL}8pYYiVMYOiu!9`ppae@%y;2kg`EiOLRc_V1*++w=Pz$64+9*auAIYv8u- zgo`fWIx_J?lM!knJ(`3No#Y{L4{o)4zN|IBT0VM8vs>xEb>9JlYApkG_h?Q&Q*MLHHwm+yUbkyS{H6!y zPlXnl=eVrZ7M#_W;PyoU_^aRAk$=k_;3m#@zSEmUsrs``v7XrAeBq9>!!%!}O+CyD zo6~oN<7#9E_*nm+!Bt}M#n5{!#`rHH&2`(qp2R9kR5RcB+23%y0 zM!)9Pl2F&Likb(1Gi(CZ8SAwx$oZ=^sqwGhOFqX3DW|t=0rDn?hEn|HE3Jah)y&lI z=O*CxbO`nz8B+}YtjQ(X$I`8t==@p1Of>JO^HIGWDvou>1M-2(Y8$DpUYDhMXhHkA zyyy!q8vBEb@hjlZEA0YTn={XH{`zwg@hhi@?|VJhakC?V#(U~1xSSR^9eU;qt`fFW z9WE?7)^VAI)}t=_8u9C8m9P)!_KfPPX&-QVy%5$l_p69JsG;XEUozt8Kp*EbXdL`) zcxBojPHjY4+M4~h3fzkSYQe)+(imt5Rt6p zQQ04QooP;p)2pKm!ELTIs1v<V~^{NtNpPH&4R!QYH(1+F?AUgz{O z|8D42LQ||$&Q4>!>kaq8O^d;_-}V*AgZ>;y`c@U;BTl3bg#V4{)bH_v;96cE=QwZM z5aVTszGA)G6`intMa5ahGe4%DIgJe=yh++BAzsas^4uZk7^k|hVNFNkFL*c-H;sPF@b$JX11JlKOC@R45r;G)4#k%(t|esDIkFgOcrj6B$j z)UR##H~MAXzu~@SqA73OGcD;4QT%N90mLsn=zb@}$?5R_wgcSUu21^v8IgZmdjs(w zMuYR)wPrXy_wNs`kEN%6D_oi8xY{@$^`P!IM?Ou7z%4$GkE}uYY1)VQmE4QrQ*s@A z_>FAv7rF8(@FE(VO)Eh0#B9bq8t-@DB47i}*T5r`p9Zww8sF96I=e+YCixlp%$o&n zy*EHF=F|Sb?=7W$?@_l=u3u6573y5IE{uIlv`-%4INLRmeBLJ0ez@8TdDbt>L2t(! ztS|0YEW*c)cZWZ?9JCzkNCl4>>^S=;7M%I6pmkdPXrS}w0dwFlgWgk~4>Uv`WchG# zYhs~iOEXP#diB5$T*c>uKl^j-c*kvndfbuss4>GgEHtL4}bA*)hWm@VFuHVa=1Uf3k{qM>wvtHizD{nM8cjhY60$3`?os@Wb#oMV?Jb zNa4KECgR0*A#YYJSn9Z_eHC>gy(s_8^Kqo}5z_?xS?MWszqtKiyyLdPY;bPYfZH9} z+dHm%z6O^G!@>ENGR>X8?pYiC%DRQX{J1)8m12=0aPF1p;blk4L18kq>z8fFkACgD3DB#*c7!@^HWovji_`T{Z)#IF-0x&_x^HrJ z4DpylYpI@#j;8hUW-86g)DN5BQ)D6Hv1|KLKL7gU=i*f3#?ZJ*WhMWFCzBmFwFgl= z=g%M>=~oKzu%Ok@tLj}S{;f&T@X4_S{fd{zZlS-LgV3)UHV}GUbsc;}p)NtLoh6+C z7nPq={>|oC=OgmcdjPv80{ffDojlL!?b|7cM}Pkl&Tstlx)}8Hcn#%qR4K&I`aWId zxGYiydY0t^t#`S5F?>F3B7L>Sh)3VK8s|6P%GIv{?%HzU@sdHn_cYUuaKvo?$7!@vLE(DTs&h@bI+O%qal#7A#% zv*ibH8|@no{~-?$k2#ive2P2Ev0hjL?Qg=Q!#-eMR||4Js#Q1SfhGHqPsYw&9JiirF_=SGiq{;WZ5gL&aY<0BK?xQ;|3 zPAeCHtKs8jId0zV1lMJ}sBY62jdEP&OT8aet3~shRAK>qHm9RHoR|~+a$OqFzs%f3 zJiKakdahZ!E6m6Fyz-*_EZ+z&-w&buzk32Mk5|Mz$`%QzE9F@MJ~nC`)}1+1^o(v-l&#LvEqYbybG*hS}SL^3c%}{=7px_9gp#HuSbQy{9pwdJlCz z@?iq<%sVK`+w=6R9JfC_g`Q7*L+1g$8s{Q@m7aG*aXR;!%zbg+WOMJ4fAx-7FQQs9 zJqLZhNpUV(32uHpgL4%BO6M_Fvj)biZ?pO~LoXXPL;UKu)aS?LbpDY| zE`qZw!K62-agI(;=j20;h=)WYe%&cgu=Cf?J0Z`yMNg`Sv7d0?gg>|4hIergZ=8vC= zJP)IDo#EI*0ierBDhsPA>g6A=AT zJpy$(SYUsPBq48EN zPki&_vCdy!qw|1x&$17ovE)V!=($|N1#@GGCx^ttPH>?j7W~D6)X^ zaN#iY@qb80GdDBpRy1ir&$E4^uwTjc=P+K~bHgg9 z7ez*rfBJLK+oZ$e9amFR>tXW0nQ*Z5%g&l`$@}c4fDRxbAXW=xqxRoX2!bAJXTqfcVXv>=b{2x6rd38S(sO z?@d~d>w_;ruebb5K7%}_IBtJS54|cvT)a#h0$!&YxR`a9^k#Or<0{`!aML{koW077 zbDj8pJ^b12i^NZSoD82;nV`38=3`yhJ|E8{^mS>S4-P@b=-YcM2^J;`T zy?EP&`pt6!+&un!y5qV@47jfMnBvs+7doz1WCj-jxv`I_ABT5ONa1ql0C0J!67=S| zANDJ8;`>MLI>{G-i)AN}H&yy9^&1vW;|f^2%;{`#4{&z7E7fh5Y0aEJYde|7RrUq# z&+mpU06#kpT(+5o{mm8{j`tyAz&>yjo0s;zuLkEgQSL6d?$w&~neK%+ACbHQoZp%a zE_0Q_e$LV!CeD|TPv@h-==Vf%#3_ESK>P6fx^;X~eB`s<(6j7!5kLDrK|8(L;|p%R znt}8Bb629@(ktO3OZm{eyy!p2`It$oq1WED|45$;y_}xKCxV*^o5&}zI>yTzQJm73 z-uLQr`y!lPk68nMR=hgtOAo@l8~;x5QH$qe-(V42PI}H`4TI)Z*^Swu7r>6o(bzzmfVQ>mA;d}SqmTH?<0^O z7E5)j>TjiaJeCII;-6nq9;(F?KT|@uI8DuIh{xUw!+3RZZ>$Sm=P32N{1x&k&P3CF zv(9;N<8=>uQMvp8_}sn*&errMpOSBfIxb2kgUjR%7uE1J5$X<+!SP1zd$a2G{?DBLCJ}a5jM6i|VLO(3>)8X&pVCgMCt6 zEt~POK4rN$n2<3*6beqZTH>i*PPE4=zPrE5#ajV zbj&+%-(|kz?Bs566V;h`gA<5{-x^E&i$C!r^!tUWc>~;r*Tep!pA2d4;!*i3Q2hT! zf!kFtun(|Ir=V9QSEcTIzhb_4ff3O2ixsghShnknosW*}0Isk9h;?M{ES?GeT`h2R zsu|XW$@O};mg44kj^8a zfjv382tJW*;A2=7)SJ4wD$e<+6_f|lGz30o&#O`Jf9Og6yBA5)nU-Y8T^t?A$YyhjUv|w<6Lj#_9FW zKfq1V0odPEt>{&b+d}owugq8i@#yqZHaO0gq#<6G-ZQAAXSiR8v){;P#3l0cWKagUbQs!(6}e!3X4xExAwor@4pwFN?@Sc@C!M z9ogs}>PPLReOMiCg7;k_&t1fCF1Mt3O7Eug?bYF^e|C}117@BVxL#Qbd1e={qhA%g zl#D(!ochKSw_8jzTY0MR4Bt9=MI%6z=?ar_}!s%tF79 zn@#;9&~Ggd z7tP~`u%Lt#z54G1#hH6X>V7_yo;%h>L(kK+MEtCDJJgSD9{{dv)4r!RPr~^}yvzJGMq&`Qir1vmvvd2^xkL^h3Uhxn8jx5XXp5{2O zvIG6v+w?oExlsw{1pUW;8dr=T#eeK1?T7hk{}EZ9(RwetbTa&(+##QgDQ}uwe|cAp za9kAnhsJd@iq?g{8HRpu(f!UuPXZTRHxF@KW-Lp2+m?m&-Pd%2PXOJgWR${qRj%uE zeOy0hd%|Bf{1N-4xz%wBd_4Ur{*EQ6PS~z7PH!fKP&{E3z-|9w$fvkN=S=lz4*E6o zA`uVo`VjH3zdxZ)#9!YQJ0Eq<2R?Qw`LhmUB>KHT=Sf~;681ekdMG$=+z5KkhapZI z61D*Pn7QDr;|lCcs!wOkyY`@cn`gKNA9?IZh|{Y9?GTSH*O%tSlimZ15_Fzt5p*8r z%`f(Ldi}N(=})DD4?A+UhL7`61HtX&G{~o@S;5zFn@Ibf?tBoOm3-OC`S8Fc(93Me z#Iv56==3r-)rq=31N)L_xj)3|#psO~mpT3#w_G<%fCUha6624O$w~2HfP<^M9enIgWj_dH{(5q>EQU7YUf3)L# zr8n{;4_-ojio=6(Ulw0Optp_6g0qpc@SaLF>PY=A?g6fToQeCR{w^=L?m+JwO@<{{ zU()j;i4@j3Ndw)alx zd+j3sEm^2OtB=PzVq=Gai%oS=hbC9g6XUp;8xOtOoce#2f2YOsxE#?7Tppv}mqokf@MrnEfU}PD|5P%< z8|M?h2VeX|$E*t5Pw{yUyK>`fYm>oTZOygK_Qbf&8!EEJ~Nf}ebX!r`sLqkj39mL`*(I5{mKD- HBNF}x_xIc$ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/11.npy b/MP_Data/pose1/11/11.npy new file mode 100644 index 0000000000000000000000000000000000000000..7a9f98f7d92471cc432ea8cbb5deea831431da06 GIT binary patch literal 13424 zcmeI2_kYbv*!~AmcD1njDx%jgbvPRL_uNy?$ywO0Q(NC|8CWPAU#@Szkbn{8 z>hf~+`qwU3iI?jiG-Bk4-ottYjp*CY@n*e;g!D_}Ap?5{_e*>Ky?4!;RV$UR#3%Cq z-@mUJV`9X|J3eWza&cUWdo|0V?As5}Nm_FvVYZsgTLpyKz z2JPz3GPIjrqtGs6shyqede1#)XB_GId?hT;l^M1PJ{MDQE=RbY8 z?Vi`qrc!&|4`?^vq{o+kCbfTDP3_(2dG1B++UsBRZ;tN5_;kV43(lX1kiQ8_y5;e}VfanIc=t2!&mwX>I1 zz|C2Ij9b(%i+0`hW2$RcSx!8IKBWb?@vQxidv9KO9(Ct1 zt#hAu?cA#%%}cvc=wJ4EY@NU8cKwZOw@>!qc~QC)zXmbI`Axy%y~vV(SLSd8J3u z?p1$z|G>Sfha*3`SCO&F`egS$>&?n|AJdGUzcL%`>f@;O;De8saj&M{DtdnVk&ME< zKk5NJ|9R@?25Ik^*GjzCDQ7bZ_rAsYEABZvZ;f^BI@3`+&u{x?5{^$f4LzIM^rdST z-!G;91G=D{4ato)I8cPxW6VuZKu`FK#EI zzEp50w6kMfsZLJSxQ@7LL`NsP=Q6YcXMx$S!q2@vESh%}!{?S&O2?{SIF8NqcLeC(d-~vx^`JK7xet`c+{y)%@*$T_ER=+yJ+hL_{{U2>bU&+5!N#sGUKe{d~M4w zE>FC9cj)DBQ;`St>HI>c*WVKt7xsYbpZ{9mIQvX_Gp#OC-uj$GoMwnWe9V(fsm@jTbWCGku?#Pxys&PQGh09Qk26JHq!e^ag>#nbc#IDfG*68&Z*y*w67`^w#zY4Dj! z^CfTlVP06z<#CRiT?NUfXFuZKby(uKIJ6vfp~IdaKcb9hypQ9jypbQdyeqBS2mT!$ zR~}!Ge|0_x+zjw+>$q-p0^D{S4bEz>>;<1T;ozo7Rd7+g_c-Y9c89+@SB`ud7w+e{ zxpyCW{?kj$qh6fQAvulPCdHuF4W1EC^eyeUtiO%?i+w|NvTUNK_SEOo2b{Qf7U#4g7X)>i(p>FKw5XazoK2b>DfP zw8v$eOH19Wh*^htROg|jpI2>)(_7vaoK4P+ITJ!+t zBhKd_yJMiI$%fMe2zZv7WE_Q|b?UEIG<5fEX`c_}SMbK-+scNp8 zS=IZ zJ>B0l0oSiHqaH-JiqOlNc}X8U68*|&7ie7fDueSn0{tp;3Y;Bm2yT8)!agGlQl0BD zf#lOGJMwQH?1oETQ8n5lMAM?ob(tV!wJq{l+@IB=%3k>UUZH01%1KoyKUH)MBK9xE*|asAL`tO*T(*)&OZxwTx6aN zy$b!7{0GHjKevhA(2HRwvA)ExL9^U=?dT!kCeH?1N8gkQbX;v&OMLixTBkSThdY1O zG#37>XIazHC^6iIn&|bfWeL$Z2mg31>3whAhM@{!h)64ClOe$|`5;3KW>Kg7(f|zHEwqZMUl6rgz2;j`K?6!1a2H zQzXuoj+?m06lX6QuW0cRbuNayL7X-w3+7z~ubzv3s}@H*;`h181KZgl%yFLG8+Fb) z`9p6XF2a3JoThm+Uv45Eo%9^@%ie{;-&|RVyqQ){es?~?dllj_1;&EQYL|PvIMsAI zU(|q#@Hc@;lN=Yp!89-a7V(%or>8g{8p(uNxP~y5si~Xk70e(C3!zjnJd_kaKGZ2W>GwLFz#=*4qxWt z(FcD+zkF6>#IMUF#yf86)`MQ{c#nOCwXLwkakY3W#ks8;;!$N1V;vW}79t+?p(H+s zv2!a2C#P}wraJA1r6lh4o3ni>4=d|WbliAfgTIcPP5ICNINJHErl%>M zJ-Na4rP%`=H&Z?lfAI~tT~iGASU!0f#!VUCMS>3Ms7lIo#amQcr4 z$aCb4C5;0Yxjp7PuCG!2B99;G?;ack|F!A&lc+kRzka5h<8sgw(M# zl(&@b(5s$rrQ>W#Jn2i%2Dh0vB2G4Z65=rpIO!iXr2AXgALO%|VZ5q)<`Cy2+P9%~ zI-m;X#WqRBxnNX0<^RW>G+(8?u+N**2Z&Eu3wbnEGRGh zZLy+=NBltN7d!KS;vdut>q6&=4|DMtTNnO9U841JtNvie9w#P=)Kl}4A@~l3s#(2$dr&c+Ck&(_>v!@v9Ur!h}%lWee`n+RDG^Ta2 zp$YCMx&hsvO*L9CeEe11>rB6Ah~MTr1HBF2IuAbam%&x}J{T`+`$L4|s>o(=xuXjC zKlVlZc0cW(D*gv>5pf^f%%pvo9V-E@y-MJF3DvD5eDvhKxX*B(c!hr7_Qrf^tuS8w z>$f-ub=jlPvyA@8Cl6Q(ANzpLar?3z@^ACp@9pE_d^(==n+Ac)FL6PR>#jS&MRGyJ z!@j>t{eIUA{fY~8{}f*@nc?*I+-d0THUS@YWGC*u<}mrN0v@OzS+Og8%q1_(uU+vU z;$&4mEyK7jy`_F57g7AjlNLIzyuTy8#{h6!Au`%=SvTE3`URb*@2;YLL}DQ6123Xq z5j%lCw?6C-E@BFRtF!AcU$%@VxO!WK^yME5m0s9;J?&c~C@l?;cEb5Ra zy}){873gyZEBG?b^{d}{!e1`$NIn~ba6eRk(7l=$>yLTlMW$oE)L&-V&To3r9WhsrR6_Pva;L+oR$zuIF@b6p!ph7l(-5%^f%AN|XM}I&hWm zM1bSg`znpM%P-(Iel@7 zbeiM3Lk#j`T0Wz?%@h{zIO{N$^z$E4oo`GX4gN6!T!no_`MLS5uj8W0M{sleHS{9j zpBCV?>S0`>#2#=p?r2NLd8PFGxtKuunK3xmm_L1PwJUwVrG41d>2;&2G><1UAfJ5v z-c63PNwmKikI~4#4Q{(2ISq?D*U+zQF&1&^$5@lD`9zG^F@?)!fwbaGQKMcC(+C}{?@R6~*BB3uk0(vv7 z72@Z4E8yNJuCn{kSIvCEy{g;Af5rPncWAr~KatP;BaZAW9O;`435R~qKa*5^Fz{?~&!Wcd4@5;ct=~lisTn&HK6m@X_ryz@O#ZkM%1%*Mpw-I)pms z>-z<`ap`ReTu;3ZZW9(L$Bpj^aC!3MIrpA@S+Ux^+M+=eXSvQ8ml&}Z=MJx*Ue8O; z5^tV4eZBld{@?7T`KsoFd#1Tsj_T)+&fvD<*PER`|C91#u9c#7$~WVCD!zX{`ZfP` zr~OCnM1E}UZ^?h>S@`IJ+5F(+p9!3IJO(bqcQ;K=^OyUVfQ#IdFS4bt$2Yv%gf7f?yJ|7e_izj&DWXyi=Ccden|cqCxWwj72+M2 zW9a|PVrL-6%fBs(btD!iQ~aMMf}8A{D4$Dce^cidQ+|9WW4)+r^nZDEwh{86Qp=;> zbdKEAZ&Av#h}&7+^~(xv+E*k6$z9|-57XKS{t4cnh zeR$GgaQid?KDz1k2~IC(`~q$U>>_^q;#9{)#W3Q#4}kL(F^JQCT19-LKkjLA#hGv6yl>yh)R$!met7k*6IDJ2C@>Qq& zY&cK-&b^FyZ0S_Q&#PZ2p6?;Jd3aN~_<1p^A2m4#{8`&~$iM!Z>Vb8r2QD)k=vkZe zbLYojagVj{1IIWYy|)3@5qr}H`IK4x6MUS1p9kodwLOo1weOapPOp4lfs4*pz?poG z`C?td!DXGbn0HZgM5NQ(-;R*}*l=)t=%hlwwPu3b5@F!nuRZjpes8NPWh3;cGEugbQ;Z9*hJC~uZ(q}i{4r4^yb?Da9yGt){)KC zYPRFLRx7H{4^1w(_k4eY5$;v(&IvAiY^M2rk#ksb8fP=dBTlt<7WC}bLz5lnR}^u- zzp3A(ZoM5h%_6{crtw(U=Hcm~&foN+`-Ulf6z84w=s(wSUF06c^G^rd1MSHVh+p?u zN%`rKMEZM!aDQMmRzYtzKA`yDu?_Kb&unxk*u}%+6X9bvMj~%)NSnou zo3`Jg9>lHfq|e%3J0E%L2>eyU1K_+tFZlD!bHU}6te6*_&?~~}?SRUp&ya!UYwhLn zj`N@C9%6HzhL35`ImB^w<`0S|Lln5qu?6SL|N98x@(A*&v%JE+)Q+Bkc-X6k@DV98+UZTwpQOK3 zh1T7N`3qgYqDejUYf=x>dP%K-er=)Ur2l#`oF3@)chCcuWMI;ziEDu?ty={_D7uS==T_^6zu~daW3jjmcCE<%=Crwzo?dU z@!O+WDW1Ss8t*qxRyiN5=^n!N%>tM46L3EAwRzF69JU(VT&_OV=|#pIG~Sk(kq5bG z9L>u*svl))A+(w}&f&Gg9hV+-Zt4m1!S&wIY2f9a!k-sdk9uag z?xW7lXF8X8gZ$(_z7PCuVd^*SJ_fzon-lwk?DP$Mbfb&ldP*wvvV#x#N8APHvu;OV zyiwhW=gR_r_0?+ZlZ=!7!HJ0pIXQUN|@ODORdC$Qda z(dM}S=bc@c-&_z>SJbKMv;3|rK zcO>rD#QrAV90C`L&T-a#%S@-2<}~>{oq_ndXA}B9t?*57Ud$8uVeS1UIlUeJg7ioB zQNJalg3<3jx_6m{+rf380zr(G8)dd5VjS1UunWyy-jv;CYQ)F+LLr?ijB)wRKOpbzR+luG{` z{pV)%E1%}TJwzOQjed2j9N@|)V5##lqCNTFC4crJ80WR_`5(n|W+m-=eLo@(c6>*0 z9ZkQt6c>g?xj6Y*P5PMa*q3a%%9wZdgz8o{`$RrpeIMrZqCed$nEzzV3p;UaxQmDF z%#Jv1F(2edJ`e5T^r}NmaC5N~)pM^!m7U)FJC^hv^Fwc|NB4GI*QfiBDRc>3Bxh{x zd_=bmvIsX9S7m2}ijwGeui*C{X5rn8Gp?|rE#+CX5ofoy{Oi51bS0301t{R=E z^Q%^trH-?gN5Mr_`rK__UBP~$axJ4g><%V&NwFKAxskqPZ){^oQ*opY`8Q33W@Jw)aB?8r*WxY==X2@TqUZX=bMoq8CVl~QNPj{#2HNcvkCbcoYh}G%5goj7R`J6 z=ioMc13pKHxWnYrxh(2dd4*yfscnzK3WfzOQ4R_uV<#Y-#P1{Pr-GI zJa=5(h&c&UP*;gXXr1^izU4Uc?2LPY?o6EB-(elMPYNz@dRA!?^g5v>xLFpt2tHpH zQ@zH~z1NPo)yZ-GYgKT5z6$n#yTw1kaWg9dT-m}nFXWbhXz(7HvHtlRf9&(D!E&re z(=ZnGEkl#guiAQlIQ%nZ0T$<>5oI&zPlE!S#y07?)`L8s~**JQQ49UV?sg z`#vjNoa$gp@(H5fL#Z)zU$y%m9zW8kWKAmxA8Xxf+ZKLOW$x8Yn? JT@sfk{}0u#>?!~N literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/12.npy b/MP_Data/pose1/11/12.npy new file mode 100644 index 0000000000000000000000000000000000000000..1f01174a6268e0f927a3da2e25294f93e985a405 GIT binary patch literal 13424 zcmeI2=U-OG7wso@jlF9U9W+siSc%5YX#CkV8oNdvM67@!ViyPO1w{l~EXNYXZfp@v zWb8fmZglK5me`Huve)J>xNq;}&G|gvS!d0jJ$vTNc^+oAXxqGH$IrxIF`{&j;E14s zrEAF2wR%=7?I%n3>_2eOz`(F>{Rj34Cf*=0BqBJKNAwOH5S;qCOr@$-EBpES$x-tE z_Ai?dLa%;*Ga&V9%dS38S6MmuW=iVSt^D)^JSpK8UEQLXvvl=ZHoQUYdhbWHyE`w@ zF3Yb$yGyQ*cJ+H&d!0_V;q&+$+U=*heE&9Xm#!!JcVma5-P}BOo%~fM?%zxI<_6tw z8qGz!ymy4#zfOzq$T+mS4?DR12H$ULal3B)2K|eqy%?VjEO-X-$8rCv;m+&iulGIX z_Fw-xM(xIj?^m5SV0_;0ikC@eE01v0?oCefKU);>dm-PTT}4i~hW0paci&CEPxt9X zS=py+j>FXMrg8t`i`-YK-L4*jc2#k5GPT>{e7_g;`VqCem17>$Rd2ohC$*~~J;6=> zug`&x{SECR?}RI8zwzK7@V^@{4=MhVKC2B;N2y)J&gK4oe}Vf|PsQ_8`q;nJZt`To z{E8KCaK8yT^os76M_Qbuc3Jmdd>jKKuMK;xImc;(phv z=UHlZg=h1;wECOp?Z9}a>xZfYRM>?Bz-3wf&yj@1^u4LC(`mDt74%e}3(5}lKT8_^}t|idb zX7$DWGIH1l`Yf*gzC0!MVk$TEqt9M}Alz>s%tpIT8UG9JTeG?(^l{to(p4wzPp49^ zHm1cj`s{Yi{I5>x)x2Mh`%R;>=~U`xIaZ%T`}W$`sNE*s#Qk>4kLju17SXIfRqrXa z%WF&VS?=kCcF|xA=Of|Wb!u159P;FRUZdUHId2j9%NsGT&@N^n@2+Wq3@VlDMtAq6 zq+ZSU$6uoVwp~#t_P?4}=sxeBZvwT;+%3UflOmUh+dI`36LV`6EB{HYsiY8uaTJ=u6~gUU%CW(&>F=#u0brp7MTFXw*sK>Qnbd z&~MSK-#ZC;kl%&PB<}T2x-RcKwpaUCiW^}sZ|~MG1WVAoz?Se zM%>$-30&Uq4=%S%s!d#WKZAL3bBBPNfT;HHDL55ee5eF&f6g(Kxbq8wk8a}&?!^`E zPF%Ej0==#H0{ewG<3i_@RIHkR!~HgV3T~$KtWVs^KcSb!3Zfot-m=WUod>Ruv|#?Q z9O97$yMc>lzoB2}|I$#uDttNo)z9m&ZcW3|!{8q}h5e%svCq%@N0DCSUx>WvV~f~l z+icF;*22)ce*(cpS#K)oUA#Y!_se&vf6=A)DDu}=B<98Ds)agnd3oKrY~`50Jq7Mf ztcrSYd#}Ss9GcAamJ-MO<~DG5$$^W7i>8pj`1vEaRWHExtRGNs_VfkTFD}4!RpH?T z=97hX!L@_SQqJcirtRxGFV=`K*RB$VZmpe9Fb0;p4_09ta-mvCpOY z%x`u@p4FSy7_aV-9r0TeQ;hnR9~VO}>qfxe)C=W)7gPWjd5S}CCRT`s|1KYnXT(D6 z8@9k;?6>OdF3xjwj#K2T%f$4et2ekPxT(_#dU4WsEc#vZn)Uv5InPT6gpt1*S^!*J zSiy0=`!$O6Zqa4rO|5APE>=Y+5VuWAW8Ou**{E~XW;E)@b$gCD?Tw?%&pgJsRMo@a zdc;R?Sus1-i*0;~$JKv2@*v9AzuPxb94fiUnim-#3`<4 z8Cnh8jO{Rt^d|W}^tNpk`0Gx)=Yp5G2JQ-FVg2(z#)11}#JEgHUcX+sypxIB<`tRO zzlHequZ8j4@viYYH8;)G0MaEC8&7)ip7#?Gb(Q^nP9qQET?P2KFUEn(_dRDoKcD@* zJvG5~vw6sanOKSQyd@j!OXNVm;!Gz+|8w9(@>h=QT(9PJ zVP7xcan;_-KIeXc-kW!Z^%JAm=W%5oZ$$J2`1sF5J&1Gzkxwt=(%Jy>AJYPH+8MFT zU%#J4db{4T|EMbPH)T@{aj$$bxGh!}+y%7fc?`_~A02Rk=PT1by~*N^_{2J-3p?V3y6y}6A#(PRGL=g#%ZapWWJ|HN^=UBvMWiHIaF z)AKpgPT9};t&vrTd#icA?1)%!IdcM!cS>{4L+2{&b0c2|>Q^+6=Da<<%y9->=}uf$ zdj@Vxe89N$sII7gZ~K27XT2O;Z{cA$KY05}ao)a~0loTiC(bQivF}lDvU3>M+tdy? z?|HB0z~79ygLuR|f3D}>M!?@~^AL~T*>MexOB73jUJM)w?p4g*gW@zpC$mpIfA&B2 zAd0x1nD*REaEQmdKN<1J+&kFk^=RbZD_v+d=~d)5UZ-1MT&DiKVOLkv)%F<9`nP|; zM<(Ay{*~`-?zdxp_W9}feDV>UXCV)^^&Zr%NeG)pJ}PKBxSlWq=QmsP*^SG4@i0c?$7rJ>FN1yG>9DP&hdZh;E z|1R${_U;bsGiqlj;P^nWx6`>E{>z&{es0ux9#^lN;Lg8i58}FZ z2F_2BeBk1TM;(Z(jZ2uX8-@K!ioICB^7~xy@j_Z5&pLDY>7+MJK0&W9jz;|YLVWWS z^3U6pd177WtHZ{U-aUT-AAKhmxc6Vi8N_XCf$`cNnXwPp;LJnelQj(7bQ=!64C>#G zxV=&i{;V%leOjJ>h?(7`PCX!A)|y*6^9b-)ESQ6-5PF$tubClWo7V|Dc{o*K28y$`~Wt#x_yPPTT_u8k`^XuMR zKb^bxAs_1<<9Tngp2u5Y#A5WjmY=hBMIqF`IA0w5r`gQ!JE{(!H_W{|cy5Zbe15iO z2($n`=?%6 z0bCathyB)Noy+-|;R9}79RSyNJF|b${W#BfZHys*Ikq?QtmjO^c+Ic~JO@?I6VS_T z{9fsff8_Iad47(|A+0$7-pekOAFs$5=+)bP;QCUB5aN3JPL8KXVU9n;0Q9Rq59ayp zln-2-eKmpf^5{AC=~Ot>5i+Z+={h$}k!@$jjU+}$?7{vaj+*|m_w)ap!?&|^2tGSoauS%a6=R@1J zAM>__xX$0H@zk%#R}kErRhjF&Y9h~LlbVRf3$BFu6)z_CAiZAC-%FVDyRh!O#6H-! z-KC+dU$q5#uhj&cql|Y4dGnr}fLpIv82+kmXK?#$CF(@%;d8Y)6~gma>Ja8j9OUmGyyKGdJkjSDibsFk0v}ztJ-FRE z5cS}8KLWQW*C7w4PsAe9%fh3X2i!hOaY(;P^@y8X{M^x-(|)gbn7cP|d-o=fYbkT< z9mM;l@mUJ?CNYOV+U#z{& z`HcDO4%%;|JHz*7UWLznZ^Pd#{sbT6_h2;IcNc`e`H=P=F|uR~ab4wq-0!4+pm!Zk zk0&nsjsh2_6T$7%vsmwzI&(d;j>;oK#D+zNlwyfL`>-y6)kdmRG3sk4RG#m1=%$=_|M z!|^mfjXIZk7k8(4M0gDQRQng)LV z(U^ZP_fDkkOG7L3d9q9~_`6ir3%cSFOQzP zdo;MI>9d5msF%n-a|R#}!gs}t6!QOL506VmbAC=Gqki;HY5U0|{{B|qj*f;t?^@{X zr52or(n&b~h;Dh&uj+OTJ~DIfCe*J^mk!(}q$X^Axc(oIH)oPi7fACWH z3*S$uTlwuGJV(U8N0|Sx33@vx%LvlzJZr$!l{tzy&Dmwl zJ9NM~O)bw2y}s|UPed}-wRgG`udnsq5nin?rh8FPQl+ zWw4IS?tPQN$28;oct2uY$Qi$d6ZabB;(oKN=RD`}<8`{mAWjh<54|^H5XPkgxvo^P zN9fl)`7$^q)yF-W0==9*0P9*6+|nEVANe_JG9AP7PQ|T^C9Zee;y9Oez&X$jtu~jq z_>$|;9M}!L4Qdum+@4(wz3cr1`=@?ND+i>IzSmB0yKEuyW}bdZ zB<=@aUbpSUn3)!&@j&iz(gfVwirQ^JXh%a!1- z9?wF*?yJKa$=_w?dGsDOMVxkF#Wuvn3&%c*ClHT!>0~eR(T65-JYyTeM>U8^Aid7R z{kr9~ptsYT%_P0rUjzM`L#Gj^ycU3d?Xd;$*F`46N1O^9M?PvPKi5pgyNF*lEIN;T zye3z;-@AWt-G1|79`yargUi_yu)mq`TuX`DgoZrcyydtaa+g?5+?$dMTxNd9`_pXfl^m<5s=)KJy;4fQozh2x;=yl?k*dJ1VpM{SscnaK=`pEj~b-~ps{@q{X z%#HJg$iU;3L7Cuh18+>Bc)S8WJTHa5fsdWn9_KE-tOI=Xe*<~EBiCaev&DEn7cD#B z`x8@PLQD#cHuq^(yNCBT(RMEC);nUc|G4A5IsSm} zk$>;-%yAT_U7B_tOJ54}=$5@4O#U_|1LBvlOHmK{)BBaAS9_Asuk-83`Ja|!EOAq4 z1i0*ThWD$o-{L%JD@z`4SwHy8n|pX4ZeO44>f#iP%a*^-{%wDUk2!k@>&Py>i*toL zk;46+;Qu>v+st^1Q}sCnZaeuSPPgb0zjw?$$$T&W-;vER4Ev$H$or3Zm7Ujh=A9$S z$BTFYy*HHq56b*oCzQBrnI7@m+nW)OjLp`MxV@a4dB_5Ay>KtShw--a`QOy|7Tk;4 z)D&@s+=1SG!T;x=!)wL`Q2YbZzV|Bqn7Z*BHX_`|$VqTJ(=3y)MN2n4DT0 z`8UD2xNhUqo)?|?J*?wX8aKG`DwV(5;M#Pw@FKj?u!As$gL zok!gITJ~RlkoEiin@U{0t-|Xi&q?ULoEz~RF(DzWUz5aqM@$g>d(TDuqHg?h*%X ze_cO`xXQZ@Tt&5BV`C_;+(PI2WGF=0QC4uJZS&TYd6pejY93I@D|W zay|d=2|pjNmE?Y3^8fpJ1%AW&a%FEJ4?46v>wUv9kG9Pw=1Dcc-Js$_DITx?3~=?3 zfA{n*_KGBKa#rPe-0*^Z@@?3Jadkh!`neU6e|O~?){&?*7Tl}Y8S|)$UctJvulYSx zjCz9ll&xkgNTGh8@IGuV)P;{IxBM64>N!6zU^Jh#LZ$p->LyY;9mEk*eBJc zNc3wmwc>c5N5S7@?GJ7%4g$C93i0{m8Na7UJqPpR#)RRyX}hwIKEda3nS2Lz;%)24 zZ_5c^M*OVO{ID_0#aq(`<*yfh)c!5b=#k=6IYdk zaBh+Q_rPWUtvI(>)o}*-xaRzSd+w)(tpC`gHQgr$c1K;xr1Gpkn;b)WS&H8?wNG_^ zzKkiD0A7&K-*RAM4co{qJe=_p0Pa9#o(GhWx$8rNBk(1^A13XQvZa=bEzq zVQz4@XfVfrZ71{4^N8QI|9m#-&2PcrCh08v~sQv>S|Jm0+U_c5F80tqpH2UT_s~8xECHYI`QCBu=JZ!;_fJN<3_6H* zey=y$Sv<9K-u=G2Pvp9fc5$K?+SOrdS8M?K7eCFR_L=u@JAa!kwg1HAJMMngdlTAi z{kv#q<)~ft4???oaTe_|7u_!fwd*DC&_6GJ6651n`(JYYdO7v4>-=%s`J1G7XqUgs zv#yP1nizhpsjNE<3wael0=udVyiTnAymNZY5uD*8d>}?UuufDhq z_w!As-?{sB%S-2Re}?iHx7_M+3H;}^m7dhfc?fYZkfYXJRfm0Ox96vf`z!I zsgC8D2z5H;$PQMcEvRB8Y;A4*#cURf>c#^xC$Wv)W%2oJm zz4kRD#`CJXpI`gK!oNTg^2B$2K)bAVFw(WF_fg5XzfctNE)En(FH*RSd;Mpe zyB3dp>)NGvZ`28k@=kR3iFaQkT)RqW2hRHzz2-Q-S2f0QE80*UM;!+@r-H&A*9Wtb zKCm*yH)L`Yc+XbgI&Sj6&PPR7S>?EzC`g}i2lTAPKJB=uRvcUo{~LK?#lD{po}e-R zy3Z4E;}{ku3wSoI>yDf4+a+=lfhMnSE0_wBo86|*MGoebPaGGKL}iv{1tVk^M_%)>ZkVL zCdWw3i{9B}CF1!~1f2gi0o-2pSnN1U*0dhG-$8!NkQOm6F21BTt@|9^ui*3i*yiqP zc_!j}hJ)MIzO~SP;1cGAbr}b)cV+#>anmfA_{=KcCfmkwj?1zA;A6bXfQtg2zVI3L z0(xWKVjhKWpWbmPdfn$I(rIg1A4JKAJs{&H_aWly`#Z-?snih?rmr1 zuYLQFzVtTq%jTR>j@xSM;jcz-z2!d3zwVB6K0IO`^t$aS_^6w$Cc$Ui3gnHQSPCCo zavt&~vlfJ2wUjijhW^-p_;=OG|I$a)KbJKoIe-0*V_rm0T6gxy=LpATr3&D-TLRVL z%XFwWRsIfq*p^^$R@9g3u={>+J?%Et;rrV2;IsBCxHy_jK8aLss^q`KYvrSQ3!gU2 z>22V6aCYt%xC!`c419L|gm`pEPpY5H<**N^M+L#9-vSy}nIC9fFY~56{CE z-p+r+JoxKdZL!|fs~;ygf7Ngexb0k?{2yIG9#p}l;Iij+_?w4^F<#MXKFv$cBG9YK z-MTv;)+IOM;Z@JUU(C#);Xn5z^k$hS;^7l~0v(q=6Ts~PDo>6h>q zD<*==9)mVOpYII$x2AP!c3#7J7e_yU%cs#8uXs`wc`#ckpDMmP`9wb&>HO744Lz^Y znD~fUsApB8GserNW=H(Ixkpi_x5rjNufL3@eAe!Pe))w;;I=u3UhG~w75Znzz}0}2 zmt5TZ4*jw|mnK0Ud7bhW+8kVNZM4vFJLuF6K!y7ozYsPpHM zr-|qOM*N30bJ6dWYsCK!Lmv3=c^5b?&MhYXxC8R3fBti{Ab#$@4bK_WjaisGR-^G)EndPR18)3QV;!ltdn9WtNLazZwJ18s~??^&{urM?USfJyCHf{$k7n>>IY)0rV@9u7o-t^-CxCvy&^p z_5R*t;6IAanc~(laM`{^b;oT^I{$DPLOf@dU!1>v*9P&(`8CM@>8oyzo0zHKVqzlV zw2j8~bDY5soT>ul!89I)bBp{|6ZOV# zjUs*X<~Z-k$x-lU&ypyfMzydn>Cb`imp7v+Z>3vpcH`omH$ZP1P68JhulILxs+RP8 zF)gc89s2w}*>Sy%o}0RqMf^6VHJzhY9E6X0Hx2n`XLBufde&n<`sEE?UU&V8q*t5V z)y(}3dU@**e7I_Z{Hvb#!Fk>S@R7yOErU;+#Z*6w<59PKPud0W2@Iuq{5l@zH#N0c zH2R6(fqu=S=7?WS@4X88292QS4>OQYuY8Lgx6LU|E4m^c)p_D_@LqHdQ7ubb_nCF7 zJSZ;ZqW`Fa{M!uS@aLH}V4q<=!zlhseu!UWIy%YeS;Sq6=SVQsL*&N@=O@ozp>cKe zpm}*StDoZ{JUx8WtK6h7UAU{`rrm1t{}71%ikbGbe&ce&N5{59o^{p$pQa%=_bWRC@f3dtAC^8RxT@tFhIq0uj8{C#fPFy622XH4vfD6l z8TK3Wa&W!&j++V<;m>ZTLHwe?3LocVe7b;(H+PU{`Kj=)j&ncCn|gkhI6EESI6MB1 z>URA^aJ}pm)`c!l@tY-Gzt zQ++&pAkT95MsPW3CiKj&z!1dKK8WTqz96{lF>gJ5D(r*a9R3P!GV~hZxW3T=`7wds zm>2clAI}9fd?Vtt0r50nXXoMEZfgDwuJ-n(x=pST5trg)b9lhVCJuz2%}*2VxEWRe zT(m8Ye)VaM^O!kC?^CRnKh_2R^ZOvg`KS@)$KC~(X)_LWT=t^*)oEK`9?j<8l=Elr z>e9H{Zo+yIh2O1$-pilj>>rMP`Q}KBm)A@^N7ej{c~{LusPj>$Mj}pi-ka*GK_)zB zSu3h%vu`js-#QxmzwtRsd2YHH;}yL_VqCxGbvp8SmHPg&^ADVhST?G2?Uj0NSvZBx zC!IbbPQ%Ayy_lO>ah~DNlEH2DW8kXg)esk_*<(pxvNy&n`_-A@IIq5!#v5Ci^i3vE z{C#4{Cr2f4eXbz(TRW5XVR4U>eta)*>C+2(_UstWGa|MK^33lHraYgYjq&mgk;B}0 zb(wP%k6%CJQ=h3h-NhpXJ;(K#4#>Z3)}*J?%gRBdFW?Vu3uf?h+}=10E}rM7coNdk z{6-HzzdTKDa2`HjHuR_H{HDe>g^vl^Io|clLk;~OU!gWW=`Gj{%J&&!Hs6&2q1NM1&;2`2OdpAO_-;Kb!7O!X@=9`{D z&!X0@bp5JD1*qTpJ&E6WH`evbiW~r!mxj?fB>d)V$5oks!S(o($TL5XcPaQrI#-MR z-N9MYzNiQN`YHKj-ibW0FTbvIdRdL$3(Q{n-NF3TxH|kxyBx)>iOj z+TWPR49fqc@_0^3ewTdI42tu7#G*JiuAKC|Fw5wB7&dzq=0)ZG0rjl+`NGG{Ils*5 zxfkuvszq(`UpE_E{Bi>RrrvhqgVtdm=7ID+E3f;5+X{gzoR2+Q2LAF(Fu2^4h;x_O zH6K2_{&Cu`PCgjr#-&Sd17{tRz-3{7ehqwq3c84XOnpx^rCO-^F8xr z%4e~(4_v$0`vvDKp)ba|&wA~B=+$w0U(lJw6!2X6;V(VuyrEnEGZpvirr;^-6#d#i zC(d--`;%$>&@&)`itsCqn-riQ?(70bKkQ zJKk}2wgvPifw&w~KFD#=_E+jR;2iY)Nt!v1^Y)v-#e~=BSA2Z4&~bU72>FE7rhRPs zl=g8cTn+mToR#*1Uhn)84!wV6Rek%D-%DB1 zk>G6b2jzTJrG3!zS>z-6Anb=c=qk7@bO?ImReG}1YgvuP>(dtdu+3Gjt+(^>O|2jM z9qL~<*rc7_+!#+j-;bkl4V)C?xXr!`K4Mx^-|Z8kiPfOHy2|4s>=;1 zo>mtxAr7A|(p}~5X~d7bB7W>5)p`E2;CA}!3r?r2d9QX?wmN{~A1W~}b}(c@TnZMc z^~^_Jp?cf$Y!dDZ>_lQ-=Z&cwG`ogD9CK}hx<5UkL*L^#j;;*+yk$%iA){x8O54i!Yda>vzKZd`T(?F0P3$Iy#=VFMj!jh{g;77hfL*<-PfsXf`?uS%>u z@8ZyNhGHM!Y$rG$`#bg-`&BMRd#U%7&*W#wvwGi(&W&3s|EB(b@Ymm;Tjcc2=P~)z zoJjEpyoqsKHeLiDm3K78tL3DyIM@H)qcpC9)4^?mKk7#Y(0(GnMuGDOwWm70>b;rt zO*$eEDkhB1Kf$?aT)&)wUT&F-bs@h`3vLG7BmQ6EVa|ttVBjKi9Q9k~ikIUoVHNz@ zl5{k`4Wc3)m#zLL{?9Jx`F{W39Jg&L9=qTmxVpB1-m{9&f?mEo0nU7fAx?I24aGmL zE6!>9;qqzlIibnF#6GNRv+@m|cXH7((s%I%*EKVtuEb#4m&CwA;9~z;)S-w?-Iqe2 zP@G3vqhGz~3i&*`K=FiaMErX0EpR)AekU?w!4ww{4|@X6OJ<;WKAu4S*_wCcQ@;lB z$SlyaDFrB>Kkm5h?eg-Z>{#a`N7u(XvYk3&ACSWb>~!sB9Qo@6S{LHjiNQ{zYq^QFbQ1rDyZPoE(Bapqwitlg{R0HFZ&dn zm+FH3O*Y%#!Nns=2*fX2Zvy9+_xn4}-rXdh4kr*loBIOurHU!i?q@? zW`c{pkI^rSu0eU*H;>}n?T>ZM|GCrO#iQrZb5_5m-_7~`_8}OT=Y8sTU00j~^_=gb z9JfAHhx+;vdOn6HE5}WrRnUtq&#`}s`m4j?|6e%8xhfVuGBMZ4xD-7*{s+bLY!&im z^L<_9xVcma^&s;eApHkl?R;#}Q}EY=QvYA4*ev+l6(QiPD7`=OaT{kky*XA9-0sbQ z`LcDgPjp;+rtTY^FTtPHY#QLW^xuJac(29a=IJ%shkaAOhiO9pKcL^w#J;K@{z!FO zEe*|krh+RFXU@OTuZc)N9;^tAg#Z0PG~T`aQHOHXgcWfq{qng7h&Nt|ICZzT$dB$+ zmHdx~A=+%Z0_F zosSAnM8C2u{U3s@QE92u>)Pt>=e&_@3 zOCzSPa-0Qt5NAV?XK9P$`!wTQ4*o3k0?vW5>A3#Tf0c;e#-zTdJg5;Fmtw=c9ugmu z3H_SikNG&Rk}{FMSVj4lNqA1_esm6D|IqnRZ)ic!->5v)Z|il?o4jv=T))QO1Kf;a zSikm2WxOZy4IKWmh@g7-nvD99LlO{=dg^0w|EzcY+*Q`{fse|46XQ}zt-~E><08Su z`3}TKdLqxZD(#=LWGu~B%#YKc|BIfdw%k&1DXxOsOB>NIs}?~#?(1}?=gpqMpI_XJ zJgY(bmm{8cN1!(WdC33B3%p0DGmk0$@pq~I{0JXbs}as!tOor*p~@XV@p!eNee5sF1IykM z&mF$H+q5|6e~{{5U#IhuKJ}LN{|B^Rsh4%3mp|pfbA+9YL7eJq6zWztqW1`KcrfvX zUdTUtTMY5@?bj%ui%QWv4vHS*`ch@kc$rw}McM9%-^Oo5{n(6w z#67QIz4OGLbe{C!=vS!n@aH}wkx#R}3H)Wvxu`4F`3c?!)u6rb;ZLt&9hreqIESe7 zao~0}{oj$iUTLO_leIquu1!_M$s?A`cAO7BPd>Nl|Bm=JKFe_#pSu6(?8uKe`8v>X zd;Bf*((efR6;&$ZoM~sJqxj$K2G?)W{|XY6N}nC+-X6&AzBU+38I`dJnSwDkIOT(TdUDDO~%~KE|W#Q~on= zMBS>-^t@p8woyEzi_!Bp8~y*NiOvUZ^S#IOU3}<7`SDKu9U*k{2-hz!K<7!*brt2u z`z7*VLb_9)J?0@!(;_6?>DlAe;PzWQ_Ek}x-V^O3s#{y>D|}d)yi=WClXEF49mXSTWI=wAd3*59SP4TGxt-Vt?51R-s+tc?myk~{};3w$(W4GT# zp2fCeb)1i^y%~D@cV4U);WvG<)2q|;o-3;CrhVzzZ3X?GRBvim9_+WgLy@VD+q?_l zBicMi{Q64eS#J@@TEC;RX~*q! z13hbVistLC!2X~I)g*n^bF@EXJxtG$OaA1aZ6mmuSQL3M4WckFYzh4y&05j-`8H%b zxE+>+aS6R+ah!|)A-xxvu&l_NTs#%~iKs=-Q?r8Ji|w2v%bZ?DlE2D&i1xRHd^iW1 zIrJWb%tJdGNT+fUVXuNxzzXEyaiCt;>%oc^I!q=yl6E# ze{R@HKC}H$|NKIdVu2X%U{Y?9nPXzQVu_n0KTRqI_by_;#^3%V9^DeP? zKFUHR$zO~ozHS(v7oz<=&MF1WrMKF)EuA`IO8k`r7kzJNLx zBWNC3v6tX#|Jt2S&zGNuUj9e#1e+xTLne~=#gr0zPM_~p;22kS8k+zsLX|Nie~Kqs}Obv2jX<5{!sgYp01 z#slj_H>Tfb%$9oNP*)Y+LT}gCyyNQ6u;Wu5H^J}0rLXsG$92VdwC?`iPU~%+#<@im z_!j2$_Tg~UADhw@dV4Kb&p*xSZSQp8`e+ixUor@`&5 Q6X0U>6ZEShYDdQX59r78%K!iX literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/14.npy b/MP_Data/pose1/11/14.npy new file mode 100644 index 0000000000000000000000000000000000000000..fafd2e6fae41e7cf0948be1a3b4c58bf9b17e162 GIT binary patch literal 13424 zcmeI2_g_{w*v8|m+d5l|*rV2hRjk{pRpM3@aqkh_0s@K)1dTG>6+sa}G;YOJN8L)? zd+&u&aj&|yw)&Fm<}Y}EeP4b#pXZzFT)A`SPEOAA5Z|`5cf0P{*l0G+ZNR{g{v+J# zIc~oX`pvDf<2ER0#K;l8fqjEU3>av6bKiiFftfsHh;Q(~%+K!CYS*q_xngA}!uj9+ z`}kh>abK|vy5DaT+Qm9**Yk(nLqEm-K)dnjg?9Os+MR6w-L>sv z;bycut9ziGRiOAx^J!?8g>R7mUAo`Yq;~!A9s1XY4q$xdAiree7fIyLOCP;s{mrW{ zXy=7KoVD$|4Bam`AENx6ZF~c9^xbQ0yN;oD;Zc?1mp#$0wtAplOwMXQvHr2W&lyE| z)@;iOd%rU}Yy7Hrx^3stOVE#wOVYO8l+L=p$){(wT|G*Af$PVv`)#`@HVvHby>;1g z9$EnNA*L_5W!s(SIiP2(&vUeYc=#6Ap0m!O{o_XJZ_0V(O3@>Vi48T{P_t?!3u+9ezCm7F({vyOaLiR&dksNu1@TL`l*& zbFM<~yK27W>RLB&{b}em%T2;S%n$GF4bIsj=;e^>%If8l%HZm78s=Sj&7Wzx$-NBq z!xJBZvkEbzt)FO6272>h6zW{%D;R0@x>G4|r+X^$#Ww{+SY~eDJ2% zd#%1p0QFmHBJ#kRJ&cF`s6V*8z5`tLIy)Qw> zy?7i9&it$1vi<654Pq^Ka*m{aH-!_AJOzJQZxpz$c@EsURSaA$A3;7V0JN7Z8B z--zbR%R;cyG2Z%%{gr5bSJ1lCyVqmgsTFl- zeruehI()cmw$<~NPqXqciRvnkdmQ+*ec)=^HPXl3pJBNwod-UA{c~{V^KYm(bMFrH zPD)|amC9CbD)ieXfa~1pRBwSBLc!-&hmXiz4D}=a7>a#BEchAR89WZ-k|~|Bt{vCL z$OG?A&uclhov){je_0&)f72Z6okx#=zd65_;yGW2>b7ea+J9V@f~%{i;m>+i$9Tod z+3**QzlUCSN)|Rw6G8ic-o6L^VtW;3Ip2Pg;we`e_2c*y53}4^5)Q6c`+}SMrw4;~ zO~?G|kiW1`oANj2d1mVMp{O>6vr?1sJc{+fLrGoM~ z;e8179&h099GV0!JX}`6Kkzd7l<}uLEb_s;8=suWvn)FkoTaCL^S>#dGO7#tmz^;R z{s&gUhb{61=cWF|cvb1HG~P$q5kFg3u%hi(6kG$n3L6T4KK?4|gf*x|Toohzthdto z3x79oQ6!G`jSlYEZ>7&+_&dkhdFv~AF@JkiMO=y3=>Wa^#3@T2qWbro zI@|h-+!w%g#0PK_+!E`>3C{p`mPAqh!=KHvdfj#r>36lIJcl$HYq^tc8~K0N8C*g~yl213R<9@g2Ciq`BLDg`kq2j5md^;PL#Iv| zT3@d9N&mPu^n6h`>OsCFE{o*?cb<1gzdW7tCTErhmvObwFMpGcahXDONWU%(`wUCF zMB}aE3vL1nBmc6%DR2>#Nc@E7G~{7V47hfwgz@tBYo}OlN+r`ex*vjkiW2A7*>S6v zJrKXRJAvvsXGc8m^r&ML&xT*&uUqAvWPR9v+CSNv`rvBWI?SWl`aSs!IYsl8_b22> z`=`Oj>3W3xtE5jxJg$W)Z_Cz`zCvEg=j-0ktKyqz-z&d+q}A*F^gK0zwXwfBY3*r$ zSe^vEzV`!sMCs8uSFpt2X*3G(l}DYZAp&_&TNZ;mualtX=iI3di$qX7`SQbGFMEml7x_AabG-oPD0Vxp zr5%@Qw+8(hS6@5_<-?)@HXiNbM)CBhjXanl+oCOZo<)*>>|5GD^PV1Nx$N4D^kO== zY*uxQvfj>gP=IblWd)RuOT^sabhQO2WBC-e`h)b97&- zlTin8-eb2E{CWH>#N#|)g86lFg_Hlki)mhp`>nP9Dv{1VX2D2sJ@O&q6r-37>lDR~%mD<7AcY4sx8TyPd7>HJo*>wL>O z-$LW<-S`^Jf743BU&R!s@%}v$@n?SVLh%=QHs0#l==+F=Kc9{~n+|W|t)FRggT@t{7u>0k z(BE<%mIpp2upqdoHn*$g&ec@Pk4Gr&lMO4l1@}D|^ z{CoT;(lTxIgz6N3!GDoYGr9qtiz?B1$@HfBarg|J6WFm3=(*Q1=vkZnSdVh$N2(tg z3a+>QjCp5a?V%Sp+kuOntkvz*1Q2bX&%k^V-zp_c12k%&h;Dg!PO_N=trgzX~z?0-n_J2=>K`B&C^v}-l0 z|H^mp{FP5PAx{oR>&2EUN#C;>T?F;diihG{q{dNwItA#wVcL7) ze8OUKpkIDD1bTUU6yjmoz9LTcP;x8{M_`XdCV9jE$1Ewp_ldUfa`~! zhFGo-6hWNq#3#h5TeX~Gxoox?K4Nz#JV%^Ey>L$8E`^9Qibq^2(8tsIJg0M}{-H5^ zw>`WPo=UgXnJ+eWV^%qh5!S#RrFprtv7ht|j1nm!cUs1~2fO*MQuQ$>9 zl3nO|trG82J#_d;J{}5r;NL%3Wc9LBG>vP^%}X{8{>8OE`t_#gj&@&0+{I_G?S?QRg?rGdv7=;BI5V)i1yMSgyY;09SqLgLD7ooh&ycry@=kkr(;YFFe;< zE>COnDK{4LVur1tb=UJbxYK_$jcfg}xoMet^*%r9R^+4eD*NwSWw~kLPTY^4Upm7p z1^UhOd~y2z41eccPH@xrEc|8Ea&RSQV&69J=)Ion?%@3B$A#8M6sQe<6*7)|#(LAa z>&zUAU()x+qHaFQa}jz^7jW-sml@(=fY9 z*r`fAZ6gXd71A6nR+#L8Xs)fACYKav8w4d;PVWvMIpBYoY+3*u7&`+re z?gaRu{+$m8a$A2BM8D7RCi$?BsW-`S=r?aN{vk$d3d?5$7p)$0KEdHHM~>9_oc{XxFp)6we1 zxCh{-$zk~LF-dfeVj1A#^(gB1NPawz*v@_M=SLcWJD=-E+c?!VdN1IgR?xcWy$|bG z*KY;AEO+E0bg!S#^X1YEaMttzxV(@u$+nxa7r<4^SLf|#nc8|8?khVU@yJ0PF)n^| z)#x;#Z+%4e%2YqzzTmpD|DTrg#s0!kMLvl`Jvd+8;jf<@g%6J%i}RSNQ-u1Rwh!E7+f?1gDZW_>&Kg8u zyk^1o)6wtXhw$fj^P^vO?(1Z$SMIbAaIbXI2W;;RpUod=ynfxm_5GH3zMGN7D4sd< z&RJil`KhV)s_O2fe!Hy3J|kxTG9T?tvw@2a_mF4hTLSx@DR%{&|Mi0WUH#@+y@>jo z{G-N#tHNf9<-E*divOn}7%y9z1M5gGJ_BwFgo2CXO_5Le{55#yix{{({&ZrRjg#*n z{mv$ohyM4mUig>N=vRI^0=?7ndpwuL)dJwA#%%;w@fXmZ2pcfvg(sFt6Jva+u@K=-dB+H$e*(uK< z)hNy>W1!d7>A9d>SK=INZXU+Ele-#W9q~XqugW#YHhX6J=o#~qDbE`&W4@&89O!xNm6&&3vp4eK48IC)`V9w{d3qoo^Y?sk`6-fk8&Bw246O@M zv<>zj6S=FKjYoBAjdAI*OTbmfs9?)wqi66DId-BRbihO8!6e5(&#IQex?sQmi}k_} z3?rY0uJpY2tvnO{DP4$PYkbju)+%L`y>jsbxE#5L^6B0nAkFrBZW_g(I~saZdjELK z`H)$}_ot&@6XDUva`84E+^jT#D}7&}U!Ktc`@C4z zD9Li|ok~7+_K-eEV87K5*FbL$J*55f<*Ru3B&9&_Brk#wZ&oMB#>3{HAfFnuX&sd) zPwVK%@~8)ub1U@D=iE3Cb5GjO`P}{Bdedb1tB#52*Lj>1^P;DD;oPFu)TQ_t{r`>} zv~9eNhZmrIgKs!V{zt=*XZ3J5;!!hafveRSgD~ETy})G;ItTLKZp9$}d=(L=De*7* z<#*f`LBHoB`eo`g@*vJXn`gOsPQTY{-}b0CegDov>*KUJOnKN6Pj%Hj`*6$o4mzLc zd|7V?g7=>bJ@3?%;;jC;yY-hI&%t%>BgiKY`+czW5x>S$JS`i;M=g(>RH7)@Yka+;T))*hV`{vq-Fho#Wy1{E>UD2>P@)3#kidN zG>^*fT=z7qZ&(=qa^pheO}}1-enk;FhlqQ0o;L@pOtbzv_(vMAP&8jbo1!gOolDVp zqdp^kef+{8>(8cB{m2>h5RYtnoa(3S9mJ!y_!@h^Y=6H8t|te>M~*famlO68?*(kz zB5<9f130f+2zhoc)BefAmm(fV9mF|bmpDyza&0bgcmF8(Z`cAZ|DH+w&x9E8J8$7H zMy*7i`C)Iwsk}}?Z=TTqQJ8jf;IHaaK6%V-=v6(xN!CYC$jVPXS{HIR^{YqIzAC1r zLoX7SV*T=_S>rvO4e_XMao8uF{1q@S;%hn5haJPYi>>UBI353C(Cc=zkE#405hr^^ z-*2;{^qi9X2)GE(`ah*VmQ5>S9-UM4`8}D-9 zPR`Uemb03#z@0|3FACRc80K9rqW24xi=o~`eC#CX zuLhETdHTMNe;pX&nQ5cW(Eg+6H9&rxPi|eT-n3~<@q1N3JWk^Rp3ond49-T;|Lr)3 zQU_UXy0-xrpD$3JmyNA$eVkici9aiV^`g#An*eK!2c`w;9Wa`*2KY`gL}3BB1>9?ucEc?|R>MuE$KE(5HNUtNaz;;xl3 zFZ@RSiD{W!G)V&&AL(~w@zTt*+@xLyH{1T9=d$ZE+E2_HaF%^IxE%U<0rXKz!Brmm zzh>E`Cg#y>e+e!-^rL+^@x*W&kBO>*ICbaN;LeIdsAnD(K=DuSLi=RPv8ZR^Iv3oj zIT_rH+ehz@+qRK@#30nIbGlEW^=HdlB0oCsb*j&gX?QNPVJXn_I@Q3{-QTevik?AP zd;sa)hvE6?9H;`W6NiJ#YA+Cv^ZEtG#jExreT%U1wqJR459McAP0}ak3`0Ci=zA4C zEDt!#C^5!zQLP^0D>ugz-WI4Zf9D2u%zK7IF8?dkH zQIo*+qQ>wMx30in_o4kt-y8()6!%TAK6?K==w-b)%!>&R#dDUopFsX+chP+1k*E`v zK8pMoTm;u%a~dMf2&!jY%a!=a(sX_p{0Gg8-+QWut0}}Y`~LsG|9ctW$xl%Sdej@# zg=`xZVgKJ-oZE=Hkws^qzSQeJc#q@zbr!F2&ofget5q3k>&i*wdb_xu)IT{+v|ewMGkId8AL z^(ykY9x=lDi2L5)YzY0HFa29hvRt}U1y{wwDGwuN*MrZG56{}G@K^9R_r3aBy$PQR zE~~mzJS|*9EEkVQgR{U48tR$bAfBvy<^2cVujlY(|DJ2^eb1UTYi7^0pOEl%ht_SnWD#Lvyl-&d z&^{r)4Ww_Qe)WB;NZ)?LLq>)48rE}oNN```EqVv?d@B%-$6F}D@XRgrIRl0OLIpZqU{`Z(Zs~ZOG#?HP(pT&S;A-FShT)_(XxgOBBEN1NX1*pZXpC zGv1-yHobk8+D&=B-wQmA@#zPFsiaeFt~zShvE1&0>L7k^Z(nYo-w^F0vt4!Eb)W8& zPxHY?9bR*S?iYi&fA2x>8`SR7*P&f3>13&0mSTT#Jj+9B7dG(`u0I4Grgm39?g4#P z3twEOtFBcP^C3d^UZ-|%d=b`v)DQQYAxEE+&QwpiNbRP@O7thIbmDpWx@H=+OTQ)0 zsNHrB#%C?Kk8@X0z9E|9PLgq<2GKpxyHiTZH>-S9wnD-rl3Ae>uEBc15~9 z)s7`+T+Ou+PvL)VAnHUvt9^~`vpy5%QoGvQ9o#<5_Z$2Q_eNgrsV?AN^lorn|8hL( z?UaweRfjTHNv~TbE+Vc2Snrw*{gt?h`!N+ddeiU&)PvgI{R`qYXgRou z{1RMrdk^s_pFZGr>;{fAdZng*Ovf!eUimZDo#^&tJo%_*v!PcbQ{W>Xbe>3hJ5cF`0diUk7(1+l>V;R0}?`bWzlg$=ehAfcV%KT*OYoxNNajysmc# zA`dc>_bIXKl^2i^k8PR&e>b8z*1O6+68<)RBgZpW!e4zE$a#3O65NWjoVO^6@tQsH zJTF1Tptmm@dWiEe?*rccWZr*jRy4%L!;`F!`ULgktsgXwxO#6QxOw7%n}qHIh`aZ1 zV1B*6TQ3A;e3r|8T0mEE>?e*VtuOR))u9N|>sehn{*>IP6B}KiC+@q~7F_M}kWc$^ zK`7~E+B5je5z*k@wu);=Z*pCM-s>}z^AOVj^KQ;&N1pYh+2CSmEb|%h(90$r;Nv>_ zj3$5Ky9Qh|X~O+xUykvbA)Po63$h@79aW_i^=przIoLN`d>8DuZg>j&cX@+-)wPZq2>&c4!S!cB(A(#&rVeHK2=v__B(zO>D`L!$eXRxjN^}unG63XpCUi*>>RH11$Pt3$3A|GI6ZZQ z*TwvPao`8fgX>%AtiPKB>&46S2lJ$8$o0Vp>{lv zm4D&qPDjqCE?*N|{~C+^#8h~}KHL1@@1=dR7(To1f?NNr(7Oxkqlv5e`FY;&^ZL~} z|C$cHZUAmt-$eX+#x*=&yqFrChi#K@1Z3PVs`ZE=y{-&+RXm1%c4%)#wL*zkDHSSZVNBsbz0Ix9h%V-z~$VW@E6bLjU~PQryc7j z&&PU~*SiG~7x_1EJR`g-6o>pS_Yk_;h83Bwt;6TNTKl5F`%h*6!OyUNil~^O#C75B z(5t_v^S-((UpV|?dEM#D7vQhLq)yJzd;VwO;}%>&K4r<$yuPCDbDdP&#r+OjHivvv zC*BXu{>9+xa*t8Oh2QtwZ)3|m`guO$dJE5&o)yhL)1P#ver;p^o}|uI1((}fb|r4M z#PYZvbDW}k-#*X>z2Ut5_!Q&vYV}5)%U1s(PO~*P=H15ant^`b_d`5x4Cg@w&%(Jy zf7T53rcU*N-dnyA=RGkka~`)`M?CIf0_InqnE-zsYj|EJ^xi=J@Ya zQ`hC^wP;$I>u^ps-WCMc`(_IbKU0ndKT&Rjd|d@UKF3- z-tqSzQEvzLd%hLom*xGFNbgp+fZl$Uk9~YQ&nK=v<2d#Bj)=$nvUVA9b7U3Av$dL| z&$8|O;mH|SFYa^XU;0nw{N(y?K5@NmH0xjXM*McsiAls|Y#QQm`DY-{BKb)I`MGzg zJg%SL19!jl>O%}Yj9(-(}=e+-HjtYZM zi*evyi3sR*aG##UtzRvU)8`HHDT*fbAb)$1&r8mS>&H9cKN!5hDCo_5$Do&fb9p@u z_=o4Q<`{5Yy)fq89pdwqX&(gc(wp@oA5*S8e3Y#M?v2m$4RNIS{&6&_FA zjwuVS!iu0@75M_|U5CF!Jhn_2)`dD#ErQ|^M_a;Q{PvjFOUm<`M-!%uo?WI+-DNZf^Wd5u>#w!Ztk0Gx1?FV-c z{h;^iK1TfZC*D8pN0r$B>@u7msRQ#r=2*TlM7F!cx(s$-Xyzy!SjA$Ur)-9TsV#Ot%Jcut8_enRp=3L zeIExdRy|4}u5a@9Tzj)OxVyS~E_fjO>!FYN`MaqcpW8=HVE>DE z(674RY#QlJ*>L8+e8TZ`9To#F%7BZ*b-~@}v}od@`DcjV)1P8~Rim2&iOY+FnIGZz zT5|Cr?Avxv1oL`3x&CL>LLSVq2gsZAJ%M%V&8t5i{hn6Pt8+uRZeKRl;Jpq*uMgY; zcUPhZfZIZdQ(u3>@i(g%3!attdC|KAKL_76$2mdV%@2RGo8wWh`t=ORh+p03bEbaU z3_d2zzZ?1Jw1TYvGy?PMew~eTh`iy;@h|LyI#hkL$B~cs1;1BOw>Chpj*3CVW&CU2 z_x{Ozua%f*1^PWyiv4qTWS@6;#!|oHqeGkrzdn2}`o0wA%NFDP!4&)md9!;Xmyq7} z%sf{wXwCWDe+u=W{(J==(PJg&;rW>rq<2H2xZk^}mnaT7wSEBlom3OtE4B*U9lz0^ zxH)|f;}tWR+hUJ~flplnuJRsd{e|y2Kf}iGeAOt-^!lN#@~O9_dqadBoay(#wWN;BU8Qp2xbbg}?3L!}HGCU7aZnEzoEaZzzJxXXDM+^d;=260zy2e?YVk9cg(Ec1z*P(N^+ zrSVPZ8i#jDCjH-2!M!)tSl=%9Txu7q>mYBcP6D`^_rZGN-tjc(&E+ZJ-sH{8h@027 znO7Rb=kq^ObCSRMHVNYrsd=%FiOxEnxXiW$Ty0zj?yh~0bAp(4jq{eXI`4aBr{Nr8 z-w5{4GZ0+Q9u@)rb%&t$4rKcH7Uk#H#@pbo)DHGZR+C9@S~P)=`k*E6!&lEW56Ivy zGzxkXCb)j`@b4y8#IXP6zC5l7lSn@L{yzA~Wwnrhc{Y*H^OX-mua@!i+G|m#J?X`U zG>)h7G5C1Tr(-=@zdPWzK{&YlAq$>Idd5Ncn9gtJw~DT!&m@jNJP6}* zub+k`XJGYp3b^>_G>^AiU(~Z1%fD00n4gem?{s;bi_EF2yzUnD1~(4|Zh?O!`?!z_ z$g?+A@i}t_|6XqUd*J4HDC)sHtcWm=R>%=IhKyXp;k5;yr@L9YvZ1Fiy__61*8i2VetigY8&nb7ugK&GgDqH1kaI$<7}3SJnQ}6gb)`auYjw3Y4Fz%nl2!&2K>$3 ze+0MEW*k}IdBgjV|%?&Q+?gF>nTYm<=atp_E z;5q76HL>%F+n1L){;HdxH&qkH6Zh25;4*PLxH{E#DsfRQp5y$(g3Gf_d0jMNf7!4j z&W)}?cIaL14XnSrjo0-g5A`E=tp>NPyMfCCHRq7O>&N*tC-~g%a;D*XqMopr^>uD@ zoE;{kUs2{3xEyeTl@)?mKuS976vCDviyWl}5T!P|V5eaeJ_+a1jik5`HF;8LQ&y~yg&i-YOV%hxS= z|G5y{nc{K#ze4;OzfUtS8a@JX4tW5*D!+&8;j5d-gUuby<9$#B>q7jwdlBjFPeYlz z!dOQ(_{dE7XX^y6ZunoM&oX!6(YOx%7+eltk9@jjPdN|&Oh>;WWis@xVO8w^D*Zcf zugz8TE2}T?lBwSZTyN@wZdli1S?6Ko?{($ptp4IKo_FSX#o5I5rbpcGiXc8WzV%y7 z++J7*f170w^zv;3?6;!x2G*Cph5b{NzL)@?+smLgA7t<@$x->Sk7+m-Om5w}>bH;I0Edr_`bN zN#tXi^S&X=p5Sra>V!O-3i}X`{Bsub&!_c6zx}@jcLVqw=yiV@jrgxu;y4Gs=6=T& zUqO0R@Dlp<8XrR*#LQn7fDazcc^K7!>n+Er<>aHL@i|JwB)~@(C^(Y13E}gJTQCQC z7I&*)UC6cb*ym&*;&gHCx{$vPddTr#Jc@kUF(3CQAALCi@#wXU;iKK4d8GHMABEn# z_$lZARF?$Oi#ZD8(%H`;PJ43JkED0C)k`tdV!wmie`B$~$sby-guh=9`t^$XA|BEFr}f0`)Z*aM=N0xD-DMA+ z7wSS`*7xS$RdtbPt4Z&DSRelC_*I+(Me7SaiOcfCIQ}Q$7?)WQiF)%oJqNeT-|{@} zd)y_NdAwc@81!R?9|86{UU5vH~3^7$UY!w->X+m82V`(YyD@sbwdoUi8c->u2seD3wq1E<2L?hf?pP0V~RS7ul=ag*Z( z_q*Mop3QV0#Hs&13BC9{FXv%PKlsZBoKKUDzhAq1O(WsoQo_ew;&ox~aKEB$D~`Xy zukiPR!?Au{r2*h(?pyA6Oy61LBj%S!-fY1V;JU~joV(1RVAhu$#PKZQeN46GbB^cu z{kF`qGBTOQ6`5K8-SZ;Q~&&i}+Q|mHd2+?Y@rmw){5eZ5qE%_MR7G zpA*sSGwK(tcP}^_&OdHy74$21*MPr@=@UUdF02*&W%d}Zt3gBHuj}!--K;*3Ius}4 zr&2uT=yCQ>iJ# zPJA?pd_?en@Nu8+<@M|HYAE`hlppbX9XEr^kOVx}Y~vCQ z&$EE9;J@xExaky!@p@rr<^)juoyT*(hiW5lX6>B`q?h3l%%Aw6PGneG80kfq<=`g0 zHrLOc?5JB;Jo9;xz83x3VNVc`xhs%oU8WGnbF|kY_%!PQA8%%+|0myLytZ!UIdgpy z^5bT18i9DczR-(f6A-63JusfQ-I#gK4B5{6QorLkr@8m}d7-`%s5e=C4(i#PJREs& ze`wxsQ=&r=Pf0#Mcs-gRKc?*S4&<-S2Xa13`yw8F>q|v?Z#{qCSM3TzuY$MsBd(wE zI+dvx!F6J-@{haFmXfG+ev2Mm+L<4?~~z z$rG%vk;3yhYaH(+Iu8%_o^1+^qw^bcWN`&^NS(ia#$Po32M&!@Z5Re>WOBbYBOe#kFC!0 zsQ30l{foxU7ZNu)zeIk#+WN8Z6Xod2^ym`8p8W_&W~BRK!&%R87C_2k$x z;_5^!^mb2q!-)ooh9zx@ZZ7PzJE<1ZW`?a zw>?I}-+bB;>squM0Ux_=?`^tI5BYou>1Fpu?9(9!xc4q>3~@1j)EUyr|Mz#P?aoFJ zx4-{&8oV?AJ*;SX9eK0Ovccaw8G`jK*EF3%dR=8ReC*YC@ORhp;#_C9_`}Cc=HHp+ YvF|kL#hC`D$X{n0$#HJIK0f(>09@$+-~a#s literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/16.npy b/MP_Data/pose1/11/16.npy new file mode 100644 index 0000000000000000000000000000000000000000..9a5cb9c477fe7480510ad9ad581927c298ca3ac8 GIT binary patch literal 13424 zcmeI2_g|Jb)W(C_T6b}49nscNMO)mP(7J2gyA|UA+#(_l1cRbDaN-^qs}!qN>!{X& z#5!o5fVfw1@4f1L$#wV(-e2FBU+&NS&2?WnIXTIl=Xr>2+vUghJv>+_3#-)Me`LSl zN)33WMgjFIdGSgC!-GSD`wZ(nJh;EV6%sa-AUk9PBiMLVCP&@TVYYTr2WntNXMScG;H^A*}nVd~#r`*0Qg zzBTmx@bYL^^{AcIpMiE!^d9veNYCr0S?vY0-E_~ZrimDzY2cfllzDIVQvYV^=?vE{ zf<93D-(D$b_s;77=vm57u2vVE&WxFDUAve~?RsHj#Lq8`LpvMzH2~ z;BboDuN=)+jlq{(yIztXdbunH&-0>3pF2HI6sKLg@*Rc#MEKHl$JP0r$dml{$}>E_ zr9J$_%hKetcfd=hGvhx$@7l$uT`+F_?o6uVV*Gsg>32 z{aM6k67!)y{<`Z)`2Kd2<}rK(o@bq_Q2$qk<9RXe&ll(?Vd7cmFQf9@!gDbX5x*?H z9r2h31E0HgJ-q@wKQt%uZ{O^}_}S}ht6aOi@zV_Vyz2j-byxfJ1lomP>M!n|g*J(G zS2J_&ZFkl4r@qI1%81oTnfKysx)=D#lXza7+Cc5chR$&9?6(``p>I%=o{u<|O=Mzm zrOYMA`SgTWP2BxI9;iR{A}yQ9yk{vpQe3;N-S@m}=jj1>Uc~pvE;8@g8$tDArr&q% z^2%HEZ(4LiyD1ih`LOMCUUcocU=8F+4SGlI$43oz{-R#UGuO`MUq=6YNZ}kJ^OkRj zN=eGR%Jrk3xOSU+2e^+(SI{$`P}*Pa51s^{3Y`4U{zml^cQMLwW1#r{xU&JX|3@4w3IZ+4f z@_gchg28#?@4-dbyV=gi{6y>2ZkhuwkIaHU?;i?18*u~N1g6e`e#b~~adSNC#Dr~| z?6`d^iMQ>Kd67L2tVEnWyuj^=p)_AtCoOWEnRwI%o1BLH@B)#md@`|0^rdw+wmtS8 zov@>&<9tiKDAMIRG6Z)|iFfZJ57`TiJ=nVbFxinv_A~=82YqaB{`w;l(QsqcL zGqsQ7Z1gMWRn?oAM|*vQUs5JkKUIfb^tcAD>b-34xU6shda>YBs*~#fwQ}6H(9~~r zA8>JS1mcmg{lR&Oc=W3a%~Gyk^VKHuzrOQ|yJz0Nk8?hzIK^-4CsMs_sTc0rdC)54 zO}?EC9~(Lkd1H%9lfUQ$t`>ESf&NfK_}ebeQ2#9WY=raYXK7x{=d|v`);O#?9#;?Z zWrm)nx|$Y`dQesF!ACBm`ebW7=Q$to&Jcfk6?(BcJ_i22pOH_Y*Wk8eY19wfnE|~? zE{VF*6E014dKnl&aZbEV_2y^BfP2>=A6WwRBeo64KA?M5p}Kk(iE)W+epuIXM>Cq2 z-%@D4+O?BDnf}@?fWIEy9P8cw9X}TSJAMae;pNHypRUM*`fLq2@0bRE-o_i_wYy>| z&o2u@uSzeJ&PS{-k9gF<{j{IttE(NiB~zid;YAUT`EU;NYnLhVkv+g=m5KwMo-MeF z`DLE*cyFoCwlDH={%>|89`$)3jq97&kxs9t_)(lQs1EIlU_Yl<#XErO)dP`Fx%TUk zPOthtgTMV`4CVjwcWa&Asx#ytFr4yGsLfpXANYjE)o32L%@s%d)m+l&?*|`#ASuM@ zS&Oycc4-@Mk@_8tx9?9FuO9Os*1PsQLhq+h>!IgEX@8JMPN7bCYJG5V=5vgf z+NNIMy7FxJ@TRfYZ{>v}l;=_}v9GdSZwFvpzU9DWNHfx3^oas*l8yXdRYRV2zSNVn&;(euGsP2|UnS%f-Q9xr2^k9zcu#JrjrC$i-XMLKX~;AG>;d*?u`mvt9s7y&o>NCVf7zVQBkCgMU$&W! zJlM^YPi1^)UP{#pb9$cm5nsHyc^h0V&j-DI5kJLo-7D)n8T23G=l{H$ z?l?Qx5aSht?|{qe5Ac4Gq2GerI&&}kxaU{hg^x|3{e(SyO!3@ng*?cc4WL(377+i@ zf~)J~uVPz*>m!X(5A0PV>em#ZI4@m5zp4i1&FUJYpKyTU&vu2zd$c*Y{O!kSh`-(` zaNBzXxT?Ph=P6zED7cxkmh}4$lRkM0IA7_F@tXEiuwSv~%TNz|Mb`VS@crN2xMg2I z8dr@ev|hZrEpq*e1^-e!wlVp8CeZp-`@mVl*5LNfA25%sL)Lj_UmAQwTm{;H5|SvM zyGO`BG$Y#i+vT65U-n@uIA5O&dKM>1zkDG{bkUb zL1o~>VuC2oe!f^2V!?(qjB|C@sknBG0B4DFXutY#V?S`V6I^91!Mc;z^Nd2AuW7$E zkE)|iO#2(i18X-Bp+C4L!>l3C`DD z2n9d4llq-|3jRtpR!Nz9IXnei)jWrM+SIyOUn1oW>O?Kxgno7LrE{DQtJ>& z23HSpT(qTgru<_MxSDhf=VY@q>-=*(iuAw!)5GTq%?(*`waiI7{+V1ha!I6s6XOo{hmiSy&Qjw@}FBF&*INVvG5PNO!3^y zLHVEjbw9_=Cwbwcj^?8Jskx!6+jye$1E*K<7G)$FSa=CZ=&Q&>_7JKrBLUi zhmIxxT9Zh>=}C9TW&JwvmwEp~KGj)IKj&}W_X0Pm=fPQ}CxgHfMuW40$>2QCFsw(j z;4SiIZVw^;`UB3@@@M*fLY(}OcyjIl=OZ^&f{!Ru1zaclbb$Y}HAs4n#ett~^H=~c@9K!O@IgoenMC&eRLTplIIQ%PmADO4Up_dzD<~hzr zS4RHDwqn%plrQoA((PU#9vMFZ>q2kX7wO_r?ORcPKHR7EazO?nT!)8KowRKU zfBU2w_9eSw9mR8OI5_uvPxF{J6?xVR)?mE4UcXh&pOwuIAGWw0>YvTbPUnZy^m#{Z zZ2_+G9L0N+x6MxD3Z6{*Qne9}8S#PoJ%5_kQTs-8-phUmoE;g0@v@%lrnvak+r8kn zUtRKvIg9vt_#fc1NNwsjS2Xgk>T2@IRT13wO#_!L`+@V1hj5+|=Vu|$CS@qi*T+bV zSG-Ig=*G(@UV>h9$a9ulxtxTquP4v5DuDQ}=bn&HTrE16%JJ|K zZ>Vm0u_&AadDLid7E>AV@cYS_FCLfm{ZFbdIQ!rOZXRTPzmcO3=2ukjHo(PWrw&HH zs(2#SooxL9`!=tp!1=gD=ym>X*!R?>2b8yUhoQG88-_U_(~|sk$>EqsTk!|vM@Aha zeT58~->XH@ue{+&@fY_%{fq4rqMeU=PwPT=>W24-+}0201iLpM#aZ_+s?V15`uMo` z2W0K5LCr8;TW4ig=OYGsLeCPTFu#0ox4ww83!TT)OAx>u3Q9bK6 zbbgC@gY{^?yiNKWHCCeEh_dk48QsCzv=d{Uzy13lxD58kJhE>Z;5;uQvOX_-RSbF4 zUdxv`J>Np#W9ZM?QT{7lqdNKiEqwT_c;rEOJy;3-nQ6qoIe*HP8be-+x0XrMfQQSE{*y-ZZgJ!%dlLuzWj4Eb^WlboykXg zqHfKdrcvP8RwF;G)SXk9?||Ik2Cc8+^a97tG1`YkSOMr&y`tK2Rj4ZJ znb+?^J_kFl0Qb#DT+`=YJv|?|{Yd9_-DDl~;=38MoL(2B@14}u-r&0Y$2j=xrq8pg zQzW>FXoqu`J+l~bvTS=XUwY!!kv^F|qC0(W!^&Tw{cu#X&W_tQ)UUls?`!q#u))q> z++2xyVRz%8w_nbNkNRgK%~$hqaQ32Qu=7y?BQP!#RS@~nH;OHGJ|-~yhHDod-Jq8X zreJ;9$I+y(+L^}t#Csw7y_f%{)9Z?FPP(gXzkeO>e|ZVL&i|g`?{-N!F8nIP-?DcU zPgsRXj;oyAz}c{S;Of&i*w1CyY~nBGlD_Bcc}~xBAEkL2ok9K{Q{k_hRD+(+r{4u_ zP=N{1cm9v`Y$eu<@f;h5c&`2oy=X}5j<-vXa$JT{9?Y6Uq<_D6I(V}^(5nZJsNamc z3*ghMD)EU;v5%QbO*$tzAMY57=SEHFMeE10@F~$4d9(Kyg7b>`@cBZ|cnCeqH4R*q zTe`yOjaLJ3ag%IB3y&lho;%000U zi!YA;;N#+nnMU#4&yM=x5jQpTduD*Em4oPg(PPUh@Dqnp9FMqdOQ9;@!7}Wqw6JNJ(|IH!FgIZxIOHJ_mOFs41X2d3f!zNKH2&6?UXDGG?sT$s4xFpitcB!L@*23kQe>iQS5+^8>&W|Q?%oV3w+8-) zCR3cjoiHxdZ^-DR%y#|Z2=O{6zM{Mp(`F|hs zhx3=~50lTOto(7IF4E>hmEACQi#TpsXYH@lI~ znt=h1n+c`CwNGrSkGoGPJ`LAa2f%rM`hHtHxwzPIb~HEn~x#T)emo ze`ZQ8a@@xL2d+{>sNbr)esNsfSWS8B6^!w+4bSH$Wpec)4O||W49>@tLq1Iv+TZw` zm6V@se?>aI4ckll<3AwJ=GPZkFX~xY^ea=(L$BFlyzk8Q0u;}Sr{J<{!{N?{)yfAh z#1U{)Be)58*FWLU*StpEvKbe!536S9DE^6ipl9jh!kpgh-ATOOK5)CWXO!c5Ed4Gn z^ByH0*$L}H*WN<$w;YIb8ecVo&i`jNf~);Uv99fv$5>x%%{p+qXCyf9=rPCn^CoLZ zpIn*r_om@x_%BjjiK&I* zue~}<#CQjOLizM>2F_M_KyNzId&m5|73WyKYgwq%vnkDKAKucD_JOj8xB9sF%e_WC zJcQN-%lUL5{HtY$zuB09c=XRjgB%w#7ejA{Y{a~)uLF<=dFvAS^cn|lHw;2NVnH0Z z7%&4|ziCN%i+)dfuMXIM?7$w~Ts*8=2kJL{EjZ6xJ;-r6{wegv_iw~6+vdW2*)nsX zXE#bs)!08MKXsDm{W#-`iH_S*+n|?)=yzD1?=QS(*+N>^YRqc* zsFm4*Ts&-SD*3P_w2qQ$(mHBYh4$4hJE7OzpKIsODxHVFn3hcZxF7uO^El#(xoKW@ zd^#0z9`d31b7cn?Da|7s*QKbgGB-BzDNt~fkFr}&FR!H2KtJjHR_ zDFK{6u!vvw?7GzXs1CQ#uUe6Yx)pEdEpvLALhl9r?=Z$)~#|7(5`Fvaj@$mP5 zt#_OqD*>)|yrumrR|?)2vT!MIJ7^&CY|`&1IK7!%kNTZ`=?d=G@9XQXJUr{Xy^!_+ zF=PemjhA?X_+`!P=vS4k@>7!2S11O5`JB%4Vq6URRlVC&U9FvgJlIYb@P3r7DiZfu z11_fZpNxK&l>%pX=z9{@rKP{~H{I#{pbrYF0Xk|{1d%qx_DTk7v@C`EkpXC-8grd>Vu&-5kb(4 zaUQds-kzj9hyy+F-mz5=O-#zekk-MEhH-QRvqiALL&z{{nfl+ixKc?0PlKqnhJ8+WD&+c@e*Pwi@fgE(u=e;*h$@A&z(!_di$|x z=o248FH^ptb)C{E+;MY*&Y5NuopX%pI~4tfcp`6nP!hezd$Pff%W-s0Gp!TAt;hNS z&~N?`da>(UaC0)LrQ>2?)_W>w3C63coy6x9lRJ{)39OI2>0ocf!?#CM9$I~kJo6rL zp+2tPAUZGcp>@Ia0vqW#EB~DGux2Ov6;}dq4zV@p|3`U3ad7oCVu{o1CHP@x37wPo!(_qSH^BByF*%%z+;*le>@+q4mKW1i9SLlm0qkR7Bjd)m8Kuf0=W9aj; zIZ=x88M{2dahpN=o*s4?T#QVs?R@O7yU53*7}kppJvzbZO_9qqu5b1uPMf#^ahk1J z=XstV`>pwyk9e=;@X>`{Ab$2_0KR`Hueb&Ko9r|s*!623z9Rkm-n8%i{uJj=D;ptB8PXEmZmmJ}yn*&5z9;K*Zp25_ zv#CMnC7lsPKC_z5fd9cH_~?ECsDHV<%3{YwzpVXa`FX0(`;8jM#x_Q5=wsgJ?=>mu8no-L*Gzd1#}N88}C*gtLkh2+z)3!PiGzQVdw zZ|FQDJa1!O%-Y+S7nw-=uq@k<)=?FYP^9XHid;BS-rK+g~C z!#*kgoI?HHY(+l%ufm@VqwhWBQTl%>)-Z6P^Wh)q+%6Z#(!A`if%mK#Mc-q{P4s_; ztV^zuZoDQ3{oaxJ?~~Bm&&q%AeAw&>$UhrantUqU#Xia3(Dx^D<#VbZFaNpD=l}oy zZ)QMLy`GNwul|A7>xkwv-2Z!<{r;#A9e5S>D_>3=g1Y+V4fM7e{jMScyMx;z@!G`Z##0!lEXXCr#Tx7oALZ3^U*S_ZT@?mO(yRygUQ`}WlYYROO|JL8# z^U6EH)#3da?p{sYgZHdydJ3E|C`c3iVA9!bkdrtQ5al&2MMEd>8 zwx|(^d;b>4-Bk~+f`09l@Sl^MKIhV7j;p1c;m=|kj&j`Gu1x;bY9l|o)(+vg_4@`y7<}!BxC(EI{ODFuh*L(^F}eG&2SLzf05{SO@f3lsnV literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/17.npy b/MP_Data/pose1/11/17.npy new file mode 100644 index 0000000000000000000000000000000000000000..3d1bfd1e1207d493a297a8238e9e8a9d05edc43f GIT binary patch literal 13424 zcmeI2_kWH_*!D+Ry{{5w87s;vi$zEl8NDTXx64HDC4$`u28kLa5>dlMi{8ts8NJsa zN-%owtg_0JInKQQ!29d-_~riG-#M;h&N=6ta@`Wyw2goB4yo91HnL>*9z(kYmh|Bz ztM{x{vMevzb5LMVV8FmGg95wvaJ+s%|DipS`Ow}0gL@=@FICaY>$kGMl;xxN|L?y{ zj4}1S*gaqOdGb-B`?QVf-;H)hYBv%6(JnnK+Rc$_Xg7(}E}Deg#q--W+WEnx+s#p6dEo)u7iA-ttYKHjKis@))AIslz?R;iRd!Lh!-E(?e zcKGPCi;tpxV9NOa9e>lc^C>&2pD}riYd87nd0mG;ckSlP>KE?Q`iwt-_V7N>z$>Rg z+Pb;Gsm^_h5l@@t_hBdGBqE%Pky(+d)F?f zbf)=j7l3|QfoA`@cA4JmifiYk!Z2<*aNZfmO~(dQ2i1mtK)ZhlJTJT(QydRU;CWVV z)pgg-&Irtl9#QYSdtTRFNb|fU0nh7iKGc8DEf}Xg5%b>Z#OOtr-Seh$EyT;7^rHB0 z)};LP*@pP}QZGDjzI}V-o>NQqV*LEwJnfzrx@@@P^3%T-?H|ukd*v=mzz>{>bf5e~ z7@n6a$A5+H{eswd$1fZ&hxT92;(3-Xj@l#RTDf-CpAo-hhUaaXv#CY$cbj%9#$#Hqx{CHLt?)d*(mIW6mscL3UUXQtXRe*i|47d# zwM0AfTXfO+o7^j}xptAG9P(sFen7kNTQI`4tGJwR(LVb!>fi3jmR2~u&$m2G>SSYHi{^=Po-v&t71L)3d-W*a!IZ z$Kd+a&LGz=Z&rd{uN+VNN4LUZPH%rMPyHVF2l=u=mnS%GzGVaFD@UR(MVD58IIiMC zz{QSeb-9vEpDa|y;+3iu_(z77dL1680$N4u} zk7{l^aD8CWbm)(dC;t`8!FiffGac8vL&@jNXYvWXjXanKW2xW9v#3snPa6;a;xu2v za}ef5r+vEEaa;d)=uM{);Hqro9LLqO4X6usJ{f>8OpXk2x(v7OR zPy4NFFz3(LQ~Y}HQTT|5%SO6(S#TBdCMrh4$HdM; z-c+xW@MrZpf{O}AraHawZ9x7%enI_j1Sa)(>eQ>_*HtNc} z@I$?^T_54YqGuEDy9ZoWKLak7KLr;&VXE`DU-FPotJJ6;yCVqo!<)aPc!m`Nm(~8A z2>r{+;5PgfxPCAWc@VZPeAp6Cs;k3Ou})Q9Z*aM3I>sf}gweV#-U4~B8ImwxCgP`d zE)VM0rSLa*nqj?*HphZpzb4Hda6Y&U{B4*1$OEsqnRw`R_}lM(v!I{6FlByeU*azY zO2_q#iik&@KS%!M`fA5Tw;Rx#rJfYe&O*q)3J#|@NB0ERj~)+%{?T*HFTcD2`?T2n zE!x-lmp_4cboXK86S5ZT&dlo%&f4Taov4_zt({&4{Xx9iVB}NX=sOtxSwF&`7w0NBaNMS&`ZrsK!Ji*Ur2Xf1eTrvl5z_yfg~sdY4X!VyoI}0( zg*hL2`3n4b?hF@vlfSDP+dI2Yv%4(y8`A>&jHs}0oa44scJgoFi#)SLuc6L|%M#F= zpBGcV{1nz5TksTl6U_y<5{&|bINcb$s1a3U9694vN1o($r=vQvZ zg#4H)rLbOPvv=U)Y6S8in>?WXcJdl<^+Pw(`=rOZFybKbF$2Ku_EO`Vzb(F#_>21B zy34k|&~L>b5RdS$0)KtKBhE+R^Dp!)Z(iuds~yOvD*hAc2c#kY+@+^DA9k=2xUKjO zY?c~aGBT&T;zT_5&5Zn2i*FO2ABKu zV_bIE6>#mljr@Q0nuPIIi3ArFd@x?|#~JvT{jsPARka)PDVq7O_jUEKZ~%>K#!Sj{ ziLP^yhjNMVktG_!pEYTx;D43&Pcwzqi@5lHtmCF9-Dh~uB>1Se*|7h}ilo=sFM^xO zYY>lJRs{VTwU>DFuawWy1JJJt+l76JwOdd7YRUY>H`KuX#y!5G{?*7;;Noft_(;ET zG{2qwu`XEo-B@3;QpX8yysZBeaJz9a){!b0)ZTGj<}kR3TZwhYM^8c>nsrp4EYK+2`)R_rE@k@53Db~;x+9XN4HY`JItDiepdyMf6j&AI)C_3$3@^q zaJKUh@f*LEj8EpOegXLF{L?7@az1~8hjatC6RUvRB7R*Q*H!0%i`+L5r?r3ebexx` z_e47>H8?M`3Hy&2pN{(dFFod6E%d>y9mrN5AaIqwCO#zUY@{qIIq7?1hh+ zktfKt>s_fZE|bm!KDK0d4B|Po1bI;QH0qW=Pmg&NA@jlcvI)4qvD;Y}I3Kxc7mc@N zZRCgjF?I?3+xS6mW@Uzt%@RGwaT9xl>f}sQ#3L3Ah;f|9uEV(O@M?Gu-t z1I1Z|_8B&XW4vbCc*wy)r?_lF_R=KQ`$^t<^f;t}ClXD7=>iu1=P^lN{tGY~u#-DgCXZ*+34o`(YE7%(T`ux1n&R<4t zrFfbLgR6Qg5RW-`33)be;xJxYE86{Uqn3N4`bBwp#=EunMDsUB9vc`IyjRs2}N53U$I4(RpNYXQOko(y|3k zZ(h=Tala*qUmTi>_d7MikMh4R2%H~lI@{@Wg{$aSH2Xs5X@lWdFKo{g=!Hr}_1Wt_ z@}Mt-5uaFt>ikPv%okr;j{L(~gX@K7a1P3Be(-0Rd@;ZL>3fMd$NfclesT!wPL}SD z`cyZjP(0m_L$90u8i+V&e?Z>MkOb&$qZs5z9ZB)$BWRs=4;|z5YRDOyU-6jc_w%jp zjrvHx z4n5zLT|3Uolt#biRTprXCih>?UqvNQoS6q>9@VL~U_?zuYq|uj@zrC`n(u0IkRG5#t?K z5%jx|S@sa)6(x%;ahxrl1-<(G5PFko=}_>IR1acPM(E`i*3ogfDj(t(Gv7ha!YUPs zcRtzayf$<95kH_mxN}zfg+p&|(EW`U`&&346SM)G)vE)&4sF`VanUjY^C=zxH7`^t3$q1JS!&9JeK#0cHCA=c|WaKfadXKdCZG4^t+H~*oC-X zPz>~EXdh5R=sw9~y}-pmdLK9aHj{qnFxsE@(C<#FMqhCC_2JAm1sh3sIMTk7dP+P=4yooa=m4gBkZ-Ke}v3_*mb6XS(l7&O!XP zdS}Ehi#0$#RSwSwuH82Jiu;v%*m<@4E*hsNpW1Yfve%D{ahwHugR4^%zxMrkoa1tT zZ*WoeCHmFgALw59J(l<}IlF zLjDi_!hT|l7c1fXZO5(11FyuBoQ~IMHw*mv8p=<01I|9?!|x%i^Gk5!RR>)BoRi+; z4*UpzRe3b=J=>J?kr^*R&lZ!9$TM`3<0kccaGP`zdi`%mhiF90iTxEe4K=Mm3)9saUnGjJYyHq^x_3(bJuUP$@f4>GUFMCAc~H2wdFoQt(Ol8eD98d%=A-Sr;yKpRCJlif2P-s<&-y zWPCD~>8YOi(o5i?{MJ#>UkHScm8WQ4eBaUf4Q@pBlN12XPOsVM^s?bK^3PrwdA22{ zV}4~Y)rqP-5L{=7MSkqN-{G%5+@X0KpS7p+F};h?xE@|lncr95j_Y>u;4J+Z8t?f@ zbnhzgmHNF=kmk2pb<~L%ma^_%-iO|lp3pl!*+=}Hll)V61((zR#d#-6mM4C5$$8hG zE!JRy`xGq`!BzZP>@z%T;vB^Dsvx)sd4W8O=aKjwMxT94`YA8rZx7dvhW>C?oLm9zVdJ%a!2f<5%VM;?-&B z^_5nX=ZvYLx8XD{8AN%uRi?Lf{hFX6Eg7d;F;ubA|=^D#dh17{Uzor?Gf+$Y7pCEz0IGW4?DTzVe~-%t9Y z^d2GogU31_;kl2vuf@6+2FvNk5!^ z#}+;}Q77#BTX6jY-P1&D6~u3c)4JxFC_h@HAMN5{1E{X_%c9ip5=L>h&V#(E)-AzR z{RX3)o}aEp`E0!#_gI^G`Y`0@jih?m+?4i*`}eo_ChM*5|2w}PAV2DLNDrsCVY%RA z1D}Cw|B3w^7dPT)yubZ}c~NIu&2*ekcn)rljU}GFv2tAAT?ekNM}g~kwV=22v%%k_ zZ;x}?F38o&*ZKU`4V(pU0GD2RpyOtEYH)e$IN~?`Dr0{2=cS}CP#o*R`UlK)dRBW1 z>4S=49T~4GQyjNBQ}&r=4X`d)j1Tr1^SvDOw$D-IQ!JzZ-!#!wKYCIG^m_f>vGK`1 zD*H-|OXhw~`<@9$e&lKzuWmRP>zY-08G!g3O(*|ir*Yn?RBxw&7tM@$u_HUsJ#gEG zd5(*bhWrB#LC<1yj)gwpD17+p$8=sa$rS0h`b2f8$E}5rDzt1!yc_R0TGwLQ5}Nnh z1EU@1LAB7YZoeCPTmC%W7x;UA^Dd2eOxu%doL*P>4P4&&j`eQR z{6>04T%GTSJd4&#G@Yj16QeBnJGTw3i^aMDYPxpLLt!xVKJd(t5-rJbEBb_J-ca z)#iH>T)(2?SmHK4{LP*_QytfFbr6r*QW!ogF$VW8mJkBHT{skad*LqjF%h2)8UsbA${a-XlxraOv(2HLF;40%m_>01;P`Bo`H`Wo$I~iQA z^`m*|IECsV-A9_oeDwRjZn}1e>sNOuf%rx0IMjnK_6qMEy5@1{Wv@;Yf5ZKl7dC1k z<$3N^tasHfPq_0@i+s_qTJ$^Wgb#ci>hi;{^?^TYJcY)!ZW;V-ri<{=n?7J2iFpj? z6wgTefN5R;@tAaxVaQKiy3eqIDSr>}{K-VbpG5C3V!{&A->);laq;0B#o4|LexMNXOR45N9~B&ge$DPm@R2+3Vcx}@!ZhBlduZR= zwY{f{$LtA)UWw^6zh0Rl9hZBLQ2gxI;3B9uaVS5=CBs80Kk1_| zFEag<5iTBEwF05EsV`TDg$C#Pq%7K8Iq#h{m+bM$gt_3a97 zD%~f(F-uA3Bg>v4{{@AxUi8xb$eX=H_b$`*65_NqtB!Vh^ZgFxCpa(mTj3Ej)^X8c zBYb4cSH!Q+`QUxuJR1Sdt8Ye}`ts9}E*@QN1#wUMJzQ2QLjCsl#k|@CkLoY9dtOWO-M)BCqG%mZ9@=#+p;%7^IFfZ!JtFiIU zXAG?`KKcR1C4)-Mb=*{bMf!Z1kvI0}4E7V#hVJ?D!+1J(dUlF&dKt3|dUcBaZd$xQ zgnOp$o&oXLRK2k8@w?Ufxj1#0Ke*c66kLRz3Iq?CNcvVCz)iY8ksmXN@~nd=gRAie zk!Ra00eaT353P$Q^X51o-n=*Rqe@&uecFiSIF}jwhx9G0fwKb3BcR_m30!6y0B-Ko zq=r#2x!Vqi{iz4kEH zuWCc{D7>G8t4u|=I=yW|b*N_3?}u_nZCXclS5Te@NxHWT=@J>AtT*fFKErap#k`nn zo{Jpk-n0*^fO<5Kvr8;=TzYOJpGjH3Ro^G`9T!_~ft!tez;%iJ*gr+#XmGuuHSva- z7dgGYJRO{UqQB#k$A{y7BKOk0U9_HudEt%n;@q?;zhj8ZhrvyOOL$)psl(yJvs&Ww ztF}a(vmz+}S$`&<35~E%@`kIxb?J{(C)EyuCx`TZ|Nb{-;9TAW-{f)I3*Bj73~Dyh z{k=Dj@CO&|-%(w^J37|Y6>k}E!RgJFiFff_z0{$O>nxAYx$k_v05|Lg?iH-*^s~?n zjs@r95$+HA;Vf|WPh)Ty+@_n;$(!u7`xM9M?>LN)_mFt!|7X*aj_WqRl0hAxH=UvmRKI#*Fz-*5a!#wY8<>;3RC z`A?%?p0Nq?W1^lNf=}TnaQSiJWT)5XS7E#|ihlnyIeU$ET$S4nf0K%SpOCetApfGx fC-{qy%Cx=z4(Xz;j! zV{5f^YPAk(UaPKCD`@oC(6ND|0!EJ=G}!VEfg{Ha&f(*R296n=^VzLI)20pU)~@S> zJOA6i!Yt?SVAI>~ITz{k_M*Kyeq(Q@+RxiQJ+YtF!2M{~)t8*NpY`hAH*7n5`w{IX zqw*c-CZwQU)TDO(p4w&FPiS{O-9)>}^uzt;QEvO-S-0%{^6mz-^Y7mp>u>5)|IW0M zXjjdz(EU6c?W{Ys>um`)?fp7mp$oVM(fz77wX?b9?pkj8?Zx=S_(5l^KmV8d=fB*( zVcS(q;Y;?)>c*tmcGHRO7m;r_JD2YVbnkSd{w4xS3#+0XBoqG+jdng_x`z!9@%zYFXgelingIC zwq0xudI-KMKjIc~#V{Z2$sP2sBj4gaom?FEsn1hi;Qsis>Gpp1`DFAb-|aYKxt#Fclo`t?W#ud1>0`wCSctBtlvMD>nYbU&$3U#YuhecHNpMj z#V*7lzi){9d6AnLxIerv=0#us<%GST&#sPmxJ#aF+wPR>MC0jF75A&Yf4sCh*)|0I z>plGuFFQ~f@rx?+albB_h4`KJ?dkq%AF}Lyil<=w{CO*7{Y{%Qb1gRoUm9HbIkYp+ z=gaM9r|G{7?N$3l;eK5)`h)!}ntCot&AIYwE9=|Os`xRwKVdc6`Q1E|abJ%|U)ifk zuZR0Zr!*Iy^O+aia1HJKioI@=^I4xRi1jDSok6>b8Jdp!s!qRb+xhN(6o0v1t~}?n zdiwn8 z)8J0?>{#%NO^A+olCS_7NB*gYerwTKD=w>3d?y)F!W0AqV?VRm9ktc^8(lH zFJQm3R=4Lu-&>;&$OHGmRns05;PC5F|YbsyAI zemA3|<$9hQxHBvS+&TTKq2-RpOU#Q(n*?sU_4BcuS6>Its(uTu)4e7_|7se1bkBO^ zv;J)${I8cHKH@3n(J6SfUuuqzY}^T4B|oP5EtK5ea#1^z{12AIdf;ytbh2FK+YN34 zI)OW3@rXy(2&XtJZbrYN%sgrPm4%MLpB+DW-F_C?KmKHW*!;E7i*ASE!&(v3z$}bR)o^c%Wt6D6f`D!u{+^JrD znAJO;?=inlzAfk6?dQA47uzcfyFl?&nh3q@pA}*Cdf8-fnOPd^gb&UeVD-XpIJl`X z3HdZ(UgNA@bEgcz`mQga7ZDM(P8tL(fWFa}l>a|}1D8`bf*Y}(^c_OT zr@*~XtLK022iLoQ1ZVvx(|R_clm~ZL#4kKry|DG)_#A~^Hkm^HOYhP;Dd+>vU8_N_ zc67mb#m^nUS-+%o#C>Wu>a7XA2Y+XDk+YUd(_xssvZF1Db8qPR+ICTvJB_Qt$Jxx0 zXZ>+!aB2?MUo|Fuw)i^K&BtiQVT2>t3mOCvwp-vj%_w041BMlPlNk8`0s6xap5x;PAa=jFbMi1X@c z;w#5ep5s(vq36y zKOzKm#yo!lZiYpW{@ezPOK-dj&Nu7?SGO)e&-*MVpKBf%FZ+Gn42-wuMyv;sFoNc* zYW|IOd``)q5T_H62reEE!}HFRy$v5$g62iGKZNycN>TmPq5kOCi4MX%vemioO{4C> zM|w6w{gDB=_4d;>n#VRTr`vdVo_dte35UUT>St7+ONF6dXWTxjdsPaKw|cp>7L99! zC+eGXY!m8(IJpB{zN%0Dbz`|H8*85nO2y&s9G$=F9K`q)6rl{riL zBdf6Qa$1Kcw__z=OtSp54^^vXz*Pt;G=&3g!-uu{TOVy z?lcK{{rfC%vG>vh=;x(FuPfe#zdX`OrrLgwJft`~JwQIqARpRal^Mlzj?S67rfL=J^2UJ@!iq^&9w<;(TyC()zQlvDh#AXgu{>eg1muuR5ND-XunW zn~33qtlsIi30(Aar+5tgu}C?oas)Dgz(cbYZ;ZJT{%;G~S3uy-G_0AGn+H z^SFhvpV^O|BU5uOx=Ik@RIXHKGuiCYM^an!`zjNUmI`8>^gunA{2J)11b6N&LcLN&&SC$`L2mF-Reg|WestJ8 ztCxMhpnT?8g!rASiQcI>Tnrup9}(ycF6NbvvU>5LIB`=2Tu-@#{UYM(kk6)Kr~`c8 z!3ow!?uY{yX))w;Xn>#PYJ7M2aOH~lxp&|G*59m}MEvW!$TJJ?g8HE1W5HF?bKr)p z#D3%fWiT$iXFRyxTpIH(caJ8Ydw#@Aj0=MQ77uXk-4NU<_RiaKXF^%hr_=}M!H?Tp z&Trm@Kd;dPoVD!jXSs|_qkg}eO8#!yL%|y*VIIw_vf%QYbF1O=%_Z___L2M}8;!Bt zc^yW1EAa#7g*ASP=d2k<`%b<&32u@f;vAw+JV%@?YB1KVDYh#v)%rZ8_iMdsEc8xd zQmo~sWjpxG_qEZllT;4RFQ-^x_{hA`*cbfI+YvS%Q#*kCUGiYQRCZ;IOB|qcraaJ> z=Dk!Z)|D#nO?h~?i}uTwBP*;ApB@7r-5?(QvU5X1EN2_&9HnCNQa$`5I0kWMEv9wi z(+mDAwGiqOA3@I@mJ|l=gryI$KJwr#?$xE_&>=ccGv4SI7lp7g~%5sy>8B5{!g&c=6`k2q5)ep5_hy!y-dX_l+Z%apg~ z9iW%Z3n9-k^cc9xYDfOpvTR7=kT)=ro`EEv@d2|%zc~}g_ zD_Zx)`PuQ#CjGGy*hf0B8TqU_4$cy2{i{Kf@!p{qts(t?qcJafF~jrJ0OaWZNy$ay^2cM?#gw zyz5o&OD*RG+-SZUtU>(hRwpsGx+5NSX*uSL*QW1(%-4S4dQb&$k>ro~#o7*-U*X<-D8`jB4csYo zlAaeet4zVT8s~lw>Tw!+HlPOT9$%K9@-QX?dYLjW%<7$*eZaNX6wIT3F%bFTKG%?E zmiUx-(W&TH<)OOjbSjE*v35hITOWDrFnna5VaS8{P2!xOAAJSRny1nFJg)=YbMz)4 z6kPT6$9T<*b-k>Qa%zL?W(zUDtk~}ZEa(5Urg(lILhG=1wFTCPH@XPU1NK0#%a=iY z=KmBW{q+~ni{5|P&|7k(0bVIKhtvOQXb5gSzH@=)5$xQ zS}vonkx#2Ya8}_p)`L@{Jk4+LPUOK1ETrJS;Wy~{cUkA%bM9CB_i*?#Z|e8Eb>L>z zca-NrG+*-E8shH;jkbF3eF)<+C61F%M*TsStI&nuPTw+E|LP@gXZw)}!IXyym9cL5 zvG!4xi=TF&UNMhH7%#hCdWGdITtTmnJb<1Z|BKF<1FwSfe8s6wo($=4_0F^Eh+mp) z=pC>4n(#Rm1TOj>05|t`Hv->E>r({L`HkO8@UqofW?-p%Ucn@7RPA5g3UPh94>t5dmB~zG1bGisXms=`VXMzpYqbYRB1TE`Z&FJ zVP4FCtD%=!N$}y_eg$XsrxWkidaU(P+vXr19$1s+@z=Tu)<@4+e8;w%hl8MJ^X6cG zi8?Du??d@vB|YP1Mb;KIKUxa#6I z)p9l?1YFH|gMOXuE;B6WS$~jE-R0o?aZIe`^4=YaXZ{m#6*n9H=KJqSKYBU#1v~xC z6!kbS;O6?VSm$La!|KcB zKe$_;nyVSfc_;3nl4s*}eKEVrC(HsllHMe~*a=NRjw&fJ8a-7iDy zw()d4FT~pX&~v|=@Zm1$*pF&WUU2c}0&rRBJ9=+TzD4}&{@{)$%{$+<1pc!2e)zM$ zUoEroh^Zr?ml2n-&c&@?ao*$2HiJ8@vWY)*jkIy&vmtjqKg(p@gm|OHaj{3R>&PBS5H?5zG6Da@PBR5-r^XxYK zodxv%>vS56`DF*`cU(Pg67sLQZ^U{~b8^@1$Vc!I_Z6PYPGEiXtKIL=ynpc#>&-cH zn8uYbALC`GLa;CRpaR58y1}1KuZ44t_)r?$Df=JvI`4g9$IDC8@AD!t7@R*04?-SX zTR_j>Y&c`b!#38NX|K92{f;XR>_I-oqdN(fJNs%-znO2&Lcjb%h`sU(@4)rDPwdL+H)T&e#{GM;(g4Mn3Ep^X2r>)<^v82Ck-E zgrKA-dkH%&@IFa6tr>#2uvjuoA^Pq2EudYl^d&-A>| zp|mf!TbtolFJr2~$0t7|X?ot(1p1`)Gd^9Em*0_pia(skz`hV>rd*w+mdY zT}Ju}-J#c$Do~tm15tnEj=z0vJbDw=ALIHr@nW||BhKWa(DU=>5x>}467wbJuLn0h z8e(5K>Dv>np0AB1{rm>Bk3wh9v0M(L|A*n#ebdojr6HmA>h#UskKSjHPx<&;%ER{? z5I;{zgx);Zg8DCOQ6Bipm*`jg?Hiby<0D?tyvu;e*w^O$G1M^@9*=mO&6n`JbB?>t zxBarArK!I49g63y3Hoda__wqU^_COR%e{3_Z^fmP@KHP)^;7=6Jr42v(!SO+x4}mi zsW8UI!}2{u{Dy5n-sINy*hl<_jA87o%VNvb+=VpW7xcRW`i$H7~0$V%jjYluWXn5{4Kg|2z=&l z16Kj`{iNC6W0BSC{nRh({R84RHzVS#-UJV(dH?Mu_JxjEy~XNz)DiTnJ!27%csyvD zcl?*&Dcnawos0ddrC*Wr}spagJLKMT)C$CrbfZKP-3 zqoNUi+2-J)#uv1I--i#j{(JzfA7{P~)ulTpuzuK`4~SEi8)xkO=G_6D2lTn=@L}~C zxH=sg3;*8xz}3Pr7_TlJhCDj~pMmprTPeR)zukslF{NGhHkL?>rp`UPiPO(i% z#CPe|3F3}|#dgt$O z#Nz}ML>*HD%M-60e8t``&ZkAD=3Lc-yU2rjPyY|Vx_ujCxpQ+b<>zrH==IcaaMj`j zd{~~HShu`yYt$chI1XHwqVG@irLM@EBV57FKP_p#Scg%0p%Y1<27TC;yp#YTuSp;t_#)kW-Snp`eQk`x!MAG zW<@VfaL@4(pXWZOo^}8?M_xo&&L0$~_`{B&U%BK2;t^xMpm_}XhIkv9X!Wwn6!?p} zt>B~m-eSD^b!{4Nl|xkbb`KwA;}`Fvq1P=JAx^bqPORn1?F{jXC+NBGM`4=xq4fU6 z8&$`C=ZE%2SiSjXKE>H@Ip)QwG=-jPohhFp%^&#@af^MeUOx|nUKi+yc*OeuI=Ne) zC2PQ0l?Kquf|Y|TXMS}4k)J;USJ_vaS|1)t@8izKI@m8x=JF}f|NI8=^EOuyr_(AL zaq6#f>&AdDP;cdyir{7?J;(LiBD8+COu=(pUy4LLqDu<69&>G?^_Nlf-X|N;`P`|0 zBHVI5?t9FOUOxo!up+?<@vw(9t_Qa;Uo7I%T=<*`gkHJbq5AN&%^L9U>H7z^M1!j; z`375Vw$gc9=J%v|>FI^|S&!=&uUY*R;}W5+38^`HJ)hq9#i7rTH+^{*>WNrz9D2uP zF7(bP`d&*U9Rz1z9YB3!>9J#Nzaq61;#c=Wz@4xcV-QbcUvNIU57pJI@>tJuJgo=O zWeC;D)lXbY0|E}BjTH-8nMg*eM}2WNrNw9X?|P`%n*0$e4J0+%zNV;-IAnUtSt z9mr?({K?iwo!vuxb|rBA<1UPsmlZVc;~C~fwsiZ;>h<4r{#Rih$iI{STkIp{`6uOh z|4^F8@GuxdnT2_D&M#|gedPN@dI#0TC=-SM2d{CJc=;~0U!z(^*mb2ndY-oHh4-WX+u|oj;Qd!! zD|o_kF>mKBv>(eCZS~BvPMZC!H|59rRbH7mZ^%fGpw)|=C($oU3z%=Y@=n}mxvWdy>$B{g3oSQyHl|qaETP{A%#Hnvq5pLi{GFCm z=j5J8sAIhN4fwO)nqaj4x z-Vyh})-BfYkn83zc-}sbZ_elU&2_Haxs%){=SXzhF2A(zmVu3A<0|<21@{lC(2!SX zJfMDss=UI0p+O-*eFOUp4f6GKyhY!^!G38x_}9L}{L+3`tXa2it*Vu(@-Y6t{g;z5 zCfhW<=aqKld$V0}SF>utt zWJ$8SUmq`V$z9oKx?lKFyDeYx0pdGjF5`M-#p$Fpnax1$A|~aI<1$ZCj9>K4cG$HG zpY--3*$}^IA+I}~s9XG|Yv;?TU3CjWeCELhYR~-Wx@%{Psh#b*{n*`Sygcr?E4yFo zFV`++enx&x-D9^L7Y`4i-IRQ_-L;#t>HT+Wnu7Z>9(eAq^1zWq*UsAbKXbqJiO(39 zt@8!#Ix+$Ai572hpWZnO+|1hl+Udp4m*?I6Vn-4~mEO2^`6vYO z$&7v!=j|SEUAv6;yyV(dtL+%K9(D1E<7V|+5BSReNRKRrb7qc68KWEN?9k#o)Q zBzJ$Ai_cvk zy5Ou}UF@GH@Te1`pw`oa4~PIh|X@jW;zc?kKkU+PYE++_NO^!pU{g?=30 z$#HxCH|lrgGUR~`{5#rlR*<-ey#a2!C(MDq#Z>5R=~v+L>rt~D7h5BUKQE4TAS+iR z{$v)oY~l?rzK{If>G`2Za1pc&+|>CA{$k4HirO>Gb-C+2AZJ3U!6&oloN( zO7q38g zfA2U8s01#*3Ix}`jLqSE*uyuN7dCkWIB#3&XXyK_1Lu9Kf!qIPjBs2&oCY78t1|gN zxYpZoyRQH^ANLaTC^pLe&R>^p4bJ@j1?LaHbaY(2xdngIumIMBDOA%N`pt>pdhAc& zc13&(=g;befeW^Q`kgUm0(kdB@Hd}MW8aD7$)lZ*y}cHCJK_L*m{;p@POrD^K;C5Q z82GSn1CTfI&3B|9*PZ;w^_$`Ja-}!?MZ*j3z z`lQghnj4Gtphji`*MDko5mz+I`LMrkz+bzCFKPKZ};JV-)_?un>F@xp>XM${r=RmN)w~dojK4tjBqTs1{{Nmr&)1Ztc*YeO4}G5n6lanzxW1QVnB#Kw zf0$p>XCvygeR?U@D~IhuP|D}H z!9h-M_hh7g_f7)0?Z&Tmdb92|^y<}kHpl7ps?wDIs!PFT=q_;9V?D*weI$I; zpbR1K57-ZGD)%A(gEPlCF1CiCU-2>%jhCggfq(Q7=rodYk!d zxYMh7tw`S_0d+$(s5QlLp6@aI&HilXywZN#nwKT6iyMNg8ttH$PyNCjXQjS@j~eBL zJgX^-ksrCVHuStsJo=SA8TOrg`5yD48he483@4(UkIB;x`LWA4Vf~xsZ=;jaIIsT| zxXN`OT;&`(2fV{`%FnwZl(!5oXE@GQWrSX5osT@|?jFd4PTmE*ToVYrIev8{^taD| zi|Zr6<(b-84<;eKo}_jFw?${uIzLko{^CVLn#Wut7dRieG86H#rJ)y9hEH|eKB`Q- zZa(tYha=FhPgmmSzF=H@;8r|eWcAkIvgL|fUe4F1U|#IZPT*{9MsPOm3&y3&dJ~_q z3jVswTI9$6NdBs54{%+>8yMz%j3?DS z>AME!D3elAI<9UWM!zg~KYBj;c>e0*RPzM!Ty#F4;^Jo(rQ{azVP{f5;i{`l|Sj!TbK z;G(}pocc!o0nk?~iFLxlvVyC7{i*&eE{uNVh+MRO&UeK5!SrhmE?Q9@)EV#bUTOX! zsy}>WpOMh(`kA%!XFn%VJb@{QhkJRVF4>|{*e~YvT=Xkz_g?ROOsmt-tH$BPKio!~ z^3*19cA+uFv$ihs%v;Z+I2&KXyr?g;5swa~{U!2DL;l5y6SVI-`}@orr9;|BDrDqqC9-c!XsQ~p;^r96uX(axV&PenX@ zXHIZ_tPq}?>~neYd72NLO}NtD=|y$gry^oL)yaUa*uScCMfk8<9g%1Dwg>WKdeZxj z%^r*Rb<VP`)VvO_Q z#iD4wevX2kUq0EwaWSX^`CR>ieA+JSec%&4hWeeA3@$ScLwzuP={u3ma0Xn}s1xk; zJbOWmOR5lXv-L3ch2A&}KH^jt@*i2YKm3jJ4Z3t|}e}H%%vki{vl9&<|gPdDK@uNPlwjD(H7#f!;=cAper@20JbT z=sS$iZ7?r3k0!d*P}Ui$mp%nUT|MKU2yo6O;3V|&p& zHi%Nr$K+^7`6;{``$f)4T?(J>bKuVpMx$RlVgFFa&2~D^*iRWyf2_}+k`oI|K~E@oZgOG1Fl{Mf-~PE@Zopw5MNi5 z;(1t{p8Iph)BGltr1&pQpXPkj4u-t(#=pQvTnHV5ersF!m z0Op;Qi&*Hm`I_d7-&jHQ?ah$6j_YpSXujT!2A8^gjN>ByA&u)Aqx#9m(z*0@4D@AhHwJ_kMDxdrDm-YR{6MO}ejJYG7^`Ph*?;Lq-jr+HlHtsG~)Zc?5< z`~z;q6@SNdAIgt-oEzifT?R~rPt0NXm{J3f2XX8u*10NF8r*(5PVo#4^YwE5Zldqh z>T!3BSD%Rc#rg2c>F3O1wEk_2`_ge!rZL4ca{!&IpVdd5HyrZ#FfU*2C!2IL{lE{+`vnJn|-YBrkOF zi0e0Ly#Bqx)zm^*4~7-PJlb!!(|YJqUSnKcRzlCaKe_1Q(0jexJ1!$Sf~z4L!9}qe zLmameG+#`t1Gj^E2f-)h5REtFBif%=*{^@(6f=v@my1%Z-8shT%@1&!N=)sQaKvel{d66 zHoo>uO5i=c z-!b^KZ{Tkx&W4^3J)q#@c?WuV`4qTXyL>u)T4x~rf7i(W#r9s{+J;aaKDW}_ z%klgx;Uh*D#`+gIGbcE`slS^1PllpS@_m=V#lB?nU)zJ`vCU7B&d0>uh2DHs2^A!UPfLUlbqI*j`L%OcM<`XcS$|Jq@l=+WWehMCPyuWsFkj~Vj= z@~r38$9p=TLF+_6q4#dNZXVWydft-a@9-Kv^7a`&=fktspnf|%CI2Qr)OB1pKMKw( zEusCsIq^4e@9f~ZP(}1>|9CJh$@#1)M7-V?=*5n0zK)BpOM$ZjI*W6iZbs|D?mC2g^0(3R&~7V2&wUuU(wT9dmlHmLn?iY!Pu?yy*6B^xVzj@$ ziKci0cP({XW=f*`@0o$|^53q^NlN2-c?!5Xx)_{gTZi={i&A}4*>_QXqKZs(da?8> z^rAAI2gJ#1I6sI7jS!Fc^b&f}bX^zMuia6Fc-@@XFV<_T8|z98r+jM9@4?NPceD<> zr`M&Dxyk3rBJ?YNWEihL_y+OtnFT5SL$t0~d=~Q0`)0h0#{^S7*Zr!1t7D@lIxZe^ z_?SfcE^581L$Bx3bB6^Vr*rK4ek0&h-JkZ+v_Psqjk9m_ay}Vp-O3{A^ObMz0H^0! zs7~4=?-8etUOO25vTcOQ}uG;Dj)`r#4Fp%;w{ zPIO$g-$CQr@*e&2NjH%^Ba;JEH|ocu#hLC=q+px#P;20nabMsU%8eYDfd?z9f=PuuBvU3|%~q%_X5)4rB} zu0!5Trxw^ps#z=a%L-nA-jpnv;C%RQ`a2S7Zxb)~JN#AAKPf-5G(9hJ{)lsn9ohq2 zEBgB#zNQb(A+kq7aCIyhKKydF5ze2rxrK3woXf$rcYi;}&9CEWyyMZ*DF zGvc(_OCf&SAq?*|ruYYnr^r*(Jy~j9obwU>^d8EZ1<*RY{uP}|uhDbIrmjQ$yvdKl zlhX9k()onfSdV^n;ckC8AO3*mSC6LuXP32KqK@&hd8ywM$%seIu8Mh=!8^cN$8Hq= zAfFiLBh4dP4q&cKurAi*bp#=M-nnn_HcpWu^MVr_pyC-l*(U#MA!(phh~86pmd#jidH~fi z)u1T)WmN`sOG@+MjlQEeTO}fIyvG_mr)-fyl+V12XkM;7#q*ba5a34s0dB|ln}Tt5 zst?Y$m!~>;Xn0@eFK5&G(H(jr&pPs3jrhBKL_T%w2#fniH2&3H`KYPzk-aj5^KRZ) z|0X2~oRuF-=iY$<$g?S4l=S1bBObLvPI5l7#6R#imsf(b1E0agiHqQN*k7(UhM z)sH2R2lM6t<#~E>taEYXImP*olYco+_~^dWubBPR(by%{(Z zaVqhO{43YO{^ez6fQv~*;V)}forOI3{(^Yyk^0b!;PW_l$#Rq*)iWG=em_6z7~f3s z@J~bW+!5Q_g(szr%RHfdXXceb{&~Z)sQ>KOeHa&i-5Ppzzb7~^eFE|5{|wfxec&IxA$71aB`67PN z>F8v~`Q-HTd4@ZvOU8F4p5t;cy=Tdi&ERh;WrN=C914Hld^PRgzwhCFkk_ynml*RA z&rNwc2Imlw`!S8z;~T`o;%ZKHak7H1NS~bk|FGSE$9sqBLGLeS2>t)B7?%RQxSfOY zv$+oPqwc>L>wJV4oio)PI_KELdN^m=#H!G<`Ijl45$FBU@5zS5GaKTE2IG0hyaUMJ zv<7F*57cvdJCL4JY{_%U4>XUyzv6jk zi_&>gY(Gl*S-2#?#V^`Sqd1>MQ=AR1M>($Yog<$OCs0@AC{N70jZJ?a99W*#+w?Wc z>G`SIl()8PFps*!qmeEimPq+j6?-B-;>)s*PR|g{tkM6 zc{=KknoZ{)Hu^2`LdhTZrP+vIE<-OvYhk|_52N7YPvb@)`ULdMm1+KFC=Tda;$huj=5ntD*Ocqj*jorn>RO7kMyi{>HqBxy@)^ z)&x#WN{dH!rTxWLJg4VK?JV;gw+Xag^f`L()+<(`o~Xqq;UmAELC?EOUhz)PE0Mq6 zdkpoB)s7nO;t@mX+`=n{f%EloLmgMAyVAHy{t7OAABQ+DQzOColVEVWek|5A3!ps9 z)Memm^D}%`5qGYWe%1u6Tb^2Hp7UXs0%@I>d5iVQUVcQq5;G0yU$v%nyQxYP`h7JA zTrLa)H;?PUpT)KZR~@I5KF7vzr?=(ulTVjn;Jj(p@s67tbROefT7t_}wZ=HEkJC9; zJtJeC8Ac7rn16aNHJs3T__J-&LxF$Z62$ zr}`sfx|6i3s_IlbxiANg$7S9xu^gm?X`7;0j literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/2.npy b/MP_Data/pose1/11/2.npy new file mode 100644 index 0000000000000000000000000000000000000000..267ecaa1b0f9ba76e929f98f2fd26f37ffd35719 GIT binary patch literal 13424 zcmeI2=U-Ph*v8X3aaU~Jnz~2bdsI?)>t1zL4Tu8=3Wx&)<3QXDQ509eg|lvP{^GV4 zSKXs}RGd}RI#7%Fkn83zc-}sbZ_elU&2_Haxs%){=itK5y*hR6`xP6{f-8Fu2^j2O zxhb#Qd}!m!Kk&*!$M}!)_w*e!#@~C0`WGeNVSIe*`^(m!J*D_WK(%|;UyV*e zyKv1uYuiOZo=Q+ppf z*$_VZV8AKc&Wlt3=I2VcZM#^T1|POGX}4_`lc-(SU-jI!n}05+Lg$sf-?q!uh2U$B ztxUFDM}$4ISN2T{#K)$JfAD+Da@^<4z5EWk$Yv*8nKDu7+%5ZCq+Y#duY7Yiyf)+`S5=(O=qv%mH5Re#!c8M+DMb-aJRVY!USg>kSA`n_%EtR?Q(#d@QE zUTFsImv{PHu?#o#9*m8Yw9LCSGZ$y4s=`=sfP4i>8PnREsc7DrmkL99{ zcQD#>-+5%OJSH*2Uge4(=eaVkEJ@e3zje+(alhj_KUgk@=e?oy7h8=mfO$uh(Lou#nk*qrLeK+^=%8?Dl@KqYt%LU-Htn zn=4D{{@5?LUljR^_S?W#4{W>?3_HcE$Rz9^TG0k1{crAf~%w$#G@io!JU0!q(9wwE_}+6k65q%b6F&qtZ)aT{t^NO|@JU zr#df=e?*?0;A5*S*M)b&U-8f2>_Vql%T=Gc*k3HB1m!2kLhWIB)xRju35O~Frean2 zn-$>7?Gm{8Z)avVSf2p+@B9oddq#n?>J@uf&I-*Y z-mwqnQH>88Y5m0v1Fp081~-#xd0DQ#dV#CFI0(I&um$n!B!zv-BeLSJR1Dnk`PkQ{w@2lenul`Nx!rwp^Vkia6z>FmPuv z8wmb+GsU^2H|mL#7_Pz34W@C838!_QavJ-^salwLo8#b4k^AGIZykvE&D8gQd1Us- zB5EwMSJS2|`TIVBUhm00)9Ow2*YFXKf@r+2<~6f=8GQkq?|n`4;xXR``h-F7cWPau zd07;?!Rqx634do>8jb7yXUx0VNb~6UmZkH@lx9)Zhx>gCJuCVWKJ4YS(Uyx%)ye0Z zo8T(>AjZW5U!Y&MM^gM}wWrmyz73!kssEy1mKKVB#jdl6-#I)BdX+md4E_a=fa`j> z$cJ~Gg?K!Mfg3&eqKEZ8J*hVIdMEl-*%K~VZr0rnrE47NTP9GR-NJ&b-s!xN@>A~( z`K!g_tzK^PC7v;d;z?c+ZMpb9iSlq&V7%t@bF347a~h3n%@}a!e#=Psr}qX|7vsR? z`k8nxu-U%gyp=nhd$zYg9o9`~-LhFv$fw|2KkLIInvnkQSKzu>lCs=9rgbYGCWDLP z8v`v@PeP%0eD@&FBDw~ikD|$Fif6)l=-HTmr&~Q68Ut=VWbNP4jgehv6f8-=p~V z`_XgilM7tE*$VEs%rFghpjh{5FZ<7(_Xv!^}ujz>>$Ht#s% zkrkGZ&zY9sB6unE&iLo|5m%M!s7vC{g5zz!x=1XzII#&_w@M2@Jl871M{Z7_{pkLV z&ZFC|W4xw)9_$y>qvbT~%c~Y4pC@VH`cz6y>%)RN67S@O{o-s~5^A|jp!&eJAEJ3L zGITO{?2qV|l`BR2E1RTswX-yh>uMPMx#x4ND_Q&#{8^O(*zfAtAb;y)Qk#Oy^GB|F z*f`2I^0rs*{yX9q(evo}8|gO#?a{^IFD7_HuQ#lQp5>)_{4S%cni|mwY-B{i?EV^jz50Ark$*x&zK%e581a`}$ihcGpDw z{AN{}m$C1gxNQG%OTpE%H0XI;H)**%_ki+nGJ)dBdkl3|Jg0HV2OYsh-;SvN`eg*- zbUK7$ye4;k>@TN%D9!H=UWnf`?L5!M&7{nw0 zjZXmIxEtJ=7J&7y3Z7kJxe0CqZk{eio^`ts@No{gQ#_N?a6UAbp9q)LH@yHZZWqIT zcTS#PY`L@SD{#HzKH`^qZX<8{;VANdbp_*P1Kk(ee)YG$7?)f!8eDt$_p;oXwj7+t zjRWUnT@5T}em}t9oG*;{W#!2swqLVrKKy0t%@j}5CRpc2Pog+;{zmiv`*<(wBS##D zzj<5`TwebL=T%d1C^+l71>=>`mk=l4PvX9=Yc`x!fiY{CM!RELomP0J8XjG{P1M>I6>uTovcV7Z+*;?FJp5-&lA$ouXCXLaLd(&ap1CcFzTNEr4hv$`39VQSC-bv>thqFzY|gnT&!sU z?);l)lJ()QTBBdRo>!}o$e{fzp6>^N3s;dcy+d2c;1Oct;qkoGw|0ZYAPE)?@H%q z9exs=d%plT>GWPHJt$6HyD6SiX4yl`ix}CBe7rk{S|2^&AB>kZdyVmOzl&q-c%{cE z^lNV4!Mfs3J(}NnbZ#+Qk0SpppWjbb&%Wo-^T=!9CVZKv z&OOS3^D`wES?;X<6I|U(!??tZN8lpP^KzEH zx2SmfPA8k3L7ttd)UO_T8*!@mmf%brK>nS4hcWNG*{iNL9#!`ZIKR{a`Iq(QO}3of z{XjfN2l&VhRq%Y2{rrfJZVf&2`2%@S3r>KmJX!Pjq#N>Pdbb9bE&E}=%eyH9k%x-2 zFkaJEV_c@=CB(^pYDjr2a|?M8OXpxc>t|Ep!-lk={8xJG=aCtv-gFUM7rqRx16Fpo z+>DwB?!3)~@yc@jTH1cqt(BN}UFsM;mlx=0t5;_mK`#<3lm29ZK+EOU5u{fguuk;W z7!6)aLobisqB_RY=za5t?liv-pJLt}pH_(9T%`9Mb0GePz2A7OUFOQXicdd7&n{gB zSIL`WESK}9gNtSj!1?qd8v3zxKG7|DV14p?L7vdJ{sZwCR}paWV19t*ym=_``~|^H zdR5dPwxKzVcXCZ|mRR1;>Ya{xNngz$oCoK|I?<(Rzle8!v>y}mP4mdqs{tJO5%ub0 zzT~NV36|^J^qql?Yl}R{;Wsf~j_6GNz8D3rQ+N-ncWN&I=idFndEc$V#v=#aBHp+P zxVo{tndK~30pv&SeTI0n-+>&~N6e@LuJ>;TXRq$o0WX&maXP8=-Ie!?#(R^x^9$uU zJ{#7vQ=mtb_1CNDxnR!Zq;*&)a51>sV(RzAO3aI_RDtGY?RIe1=pncm)_Mi>Tj+h3 zmDmTadbUcFmseOO+44;3{EL(gBh$HISCHTdwH zbunJKGi|g-rd-|4dhfg6hw^i#CbwLEpy#Z~M&~O%xRJm0F)?)hH>tUxSEs*+kI482 z`IpP+eZ<)`aD?^IdopOe(TOxKGd?Y`K62i-4{f`1=NZFSzjIDN1;Bjw58-zcs$MH)Ri5qzmwh({W@{q(0J=4hFPv-DE~SK zeb%LZD`@*SsmW>&mtea)d#)9lrW z8jgO|<0jBMd0H;ETwmBs`t{?GXAw2Bx8?GXf}UTShJMX%w#afmXazW{lbiDIza`#s zcCs>jB1<+=9Rp{`6WXH(vo7tK5Ga#vWrOlwB*oQ$CPefgZ~ z@TmddvZpusTy8wU`sfxvf~$Qa!FBsGIDhJcMad^@0=T%4M*I3>ZQ@>eP{-J&x1rX@ zacYtOtdTfh=~FAPuK4O7!1XmB9Iw(-cqA1>}MGP+gK8V!=(#Nc1au z`H)Y0Mfw(95kHUdBcC55!84z~lM&B_5OBF>H}Q3UQvS2e26xsz0%zmy2U)%B^E)_e zPv=;1#SP~@6>$&iL4HiZeise%?()dg^I-CKT*2_sJM(#2A6<&-q;qQ;xbQwV%yMy~ zH2h7kc6h$4E03|iOz>dh_vrs&sE=(Cr{Wce%kt2((bu7O*32V*>LJy)lASu+c+}c^ z;3~N_;^Yy(jka98oJ4xJ0ay?0k7t-)mAwh=mrt9pkK}~m*e@n~DR9weEB1?1g5s=3-}iW}R!b4j(U$NL$6G@$ zvIkAEoX2({efJR5PnKFD+Hxm%edu}qddR0t2?}s!a^=+*+<9CNdE+mJVIS!VCn%nk z^qp46ZPnJt^z;MgpS^IMZnTumzsr zW^*Hd@Z=uQ%ZeP_S+o}QLA9js4>Fm~?Xvkk>?2X)B*im)HP(Z)bf9!s_L( zqlg!1fchr8A6a9$;Hlv1#!2#tOy2~3{08Dd^#3AM^!e46v*m}uB}>QpmnUlAdz!qo z2l1E!k$0_*Z~8nA`iW`CzqnG6##OOD)|&{NN%}U+(61=;ae&MEXY8UlThVt#`Sxo% zKNNigJ&P-aJeaCOaV|A+`@z+@Iy7HzU(<85RXp+SzoTC9O7r?yf03AVelRJRFBQ;? z)_KYPq-Vmhahp12$J?u}^bfemwuHv@uou>qJePGo@17G}{@QRQ?t2#jy-BT2^VRW_ zvYd?`Mn2cefb$~DaNgFHI)gh$i-4PJ`!K&cbvg22E;qyak^M(u9(fo&FVvxB;QGZc z@HZQ>o}2Z@f{VsyLu|i}r-8rf?*(oS-iBVey#VKZ1Hql#)x)e_rRS#kO#~*TkOX=XS+K=Zx-Lic*T?&SU+Y;Ns7nM3w257{78S-YrT>5 z>*)V!iFz|;*?vv(BgDxrRHgVMbCdu1_R#ao;aG?A#ZBaaHR(qD_(ocv6^GBTd2kN) z1D9n}z{M|HXIjpFqjR#URu}QJxo@D?XU9O#M!Uex1MVE}1nzhZ^F+TRuYl_(*Kc`P-$Sruk^G@=4Itu4%K5ahyWqL2H6Sj5PZ#EwO!za`wv$Y83SI%CI zI?Ni;b5{S?mFiOHV><8MX$2qUy8}LEL$x4`YtcuFe+K;>T;w?)WaClsiQr-Y)ft&> zdN-?Q+fRdY|C^XEXB{76^(J3QjEi?ULeG(}w&VLePr3y?J24e`=7q*_==ZjV-h{ir z^{SSrC*oDs|3|Fmi@M}|44-KG6?F$tJmG6GE`5LgRLh-!3h+_;;t`KnF0qfCkSEaV z`#orX)f%I0zjAMB=y?LIEBSO5)iL+|;N~v5kav{!gxhyOGM*o2`&syQ&P4d&Y_B-I>>D?8Uvk5sUp6{~0qpqxv z^ND#w?}I$JIL0fg?LppjG`&CSvu%jK9Ef=r56Iu-@S^+_*o8Xd6e^B+VWX)o=}&JL zcw}~~X4MAQTjydu$l~WBEdT$1|3@=W(-(DFWy^KXt^?k#(scZP@n`2z-zBTzST6c{ zk965<XPR zGveSsH6s7u+Bt(csBy4n(s7rKVk(E)S zZ7KS=@hw?}TAlpKG``Xi%?K&00K| z|8M`kW?6r&+THiex~SSk((F~#J9jt9a`WW{cQB29H3Vd6ggE+jimF5%=kk!|0#& zXoCCoK%Q>f+1F7tFL9^O+WXbi^}ORW9OLbol& zb!i~(R}JU?2VLziOOvvi<*QEa<07&?^BoPY*!$S*d}+3wckhb(YQI}Lc;B#C%T@SHT35$Y!Fl;(QI^Y( z%}C$U3;Rs(Z@9v8XKDzzI30Q2`Z(ze;w%>%1HeuC3Fy_CV&q?}7r4{>F75X=ofla> z_dbg{pzb^ZXQ|cvt)D4Q^^H|sN%g}$Ak6CZwU+SV=Px1OYQJZ=#Gj_^G|%a@q1o=-0-8tIV&ko>OWCVl!$%!~Zv683>U*cn`U%>fsG&x(P5RWjCvcE67N=$&V^XI7lDlOOH-8~sps zWJaxOmOE+nz*W=)aQ(oqf%S1Fe8IfPZGqq>sZI;4*HH=J{GuD_BU~q2&RQ;pkC{W9 z_n+Gb{-x+Sz+&HH9`(?#{ouc*JM`M+9XM}(u(#!M)g$URtt8fi>=f4z`W45)bwDRt zC#8BcwEj%b0T(XY5szqEXoltDzjNe&BL(}8m(7?ApK%nw{`w?*MD062TfHorMEhx5 zBz$BJ*I4+EXa;}vnDVCf%!`2k>;aUwvpH#Ay3d2WDC)SV1XoP*oQu=^9 z$uGcJdQDny$@#%q%{byQ@!-5h2K>cWeJ-b;w_n!bRrUf9M`sTn1R?lAL zgFo9f1)TYWZ?<|l|6k~N?l6o?^zO0P>P3H=M`!A0a2~P@oWI&d@t8^QQA0B(T0K8N zd2>?w6K^^!&~i0j(Rlk6L;Pyi93S{c|4IFh3ZeXm-b4N2Taa> z-;KHE~T~+N)ExHMrBbFZAMdwGhiidJXun(p`{eHL@|* zo6hSAz1g*i`hEN`$m-RjoZu{=CAcV2HyZv6dtlyK{BGJu@nO+PRxc~idMN&Y_J!wv z7?=Lz4f+-5iz7eMEeF--5&6jH(i-H!w0w>IV$L3hUd4`v-tj$#`XKaG%ERYC@>%*c z1pRiTdcwmygPVkYL6$qG%TPQETf$#8?}z6j3#ERYe3hWr^X7$Fz3E$*;z^|aYu>({ z2mfRJ!JV)i(DO2P@!a8Mx_}Fpop>&&Z+l^V%JNiCbW{;=8P)`OV2ArbZ$|H@I9tB~ z=by=6br}UNYn;Jz$}}Aay?WjNoOSI$&pY=#6i=czxHGL0;uj~rAU~#(1lRv<3Agdf z{qMka$p~=X5TRfwDdK%*E(xEqbH-oD;EijL4zy)yU$=u95vrfO+aPe~S_0;gZD>mQ@qG**mX-tc zhqb&1A3fv_xS6sC@u(8@DGy#}sNbl67Q=t-Ea=sYqg40)iU_dWKHN2Kfz|V(!?FI=l;hZ6=4#4p&nzwnWWOIBjK@B5e(uo0a{b~q?W4bb z$G+ne;-^|4@rc%^C`RX0=bxo`9_fnb(XYN{pqF>^VP5$B-@y6p@8NF_=Rw{?L@2m3 z^#IOM&bhIE)?Z(`h<>>qg6E@|KVz7Uht+Hct^o zy}+aeQJfXm5Z`MiT7R9EO#1z&z|BYxk(9+*dw1%0VHCJ(c3fKSe4_V5)v5`&$oSFM za@}qR^v;V+#Hr^O9$~pz^4)#UtgAd-1Y9k7PtWU{<tu zHsglXnS{?Oca24yrWe&2vF#g-moHyV`K%Ox_>J##>@WF*&K0`!9Lj(1 zg3<8rloNV0sQ~fE75kx|qf{S^YcZOaTj$zXF87^=UVU1QdS%)a#k?rDI+TYC-pI4F z)N7&Dn>2dgG5uo@ziGC;Ief;Cp*W{@AztF_9Lt?!#mK*C8E}5`t0>EL&ITAScdc;Q ze&#_5)03=!x8>mKV>IRGLf?AO7wrchu`4Iym-E8ATkbTYddR+eNc%eD0_uZPna-c0 zQYyGweG>aomMf2OiQ7S>Uw@I#)%B;sUw`RC`YpcF`kNm*(74Y1Ks>!deal(yir}WR zJMmX1ze~!(Jn|LgEv`Gbyf3`0UUp0+-eWen>C$qr{N(dz%}tgY*L%>* z;{TD)^4_DsABQ48dPY~wi=Mw6&jnL174gXHDd2p!H=d`u5uF3s{gGI=&auSkBpc6x zCY1leLC~9j+eKOK-0VR4f7yWI9CvoMxDN@*WXu{aN2S@KFOivHn$# ziS(ShK<8xfau_&Et&V(}FIAwI?(4wit3^1^sO@w<6j$DWi=}RO&MMchpm!RFQ+-J2 zJ=^9%UA=?6vE(-7QzjnI9nYe*kH%uKmFNqTS!TBy)|N2xa&NJM1 zxq?1&KJskFMPR&+_wtc;ynI^@#G||WQ+;SZJ`C{`pt|kk8HD_cuide~^!43{hqsyx zp7q78pY>sFAAzfr^xmhNyHdYr!_Y5ZK<8nntjk=hH@)=cX29qrPa%>?%-|CCO|*AJpR zy!FETIswb1?U$8Y2+k7EW8aC$V>1xX?d-Z#Fa>(^LQk}uyA>pTf$Pw#_`qrK89Nx< zSug|hC<{NBX}Ml>A9-erpMi@@WBkD1(m7vTDu{8hDZ^;JUAO=r6F&xdU|X+7SiL%0 z6I@4}L_GZbZLAa4gzBLP?v3#>pGRe_UM#Bvz33K+^{JekebH|PFT|rp52SVYpwnVc z>p$xjxX8DU^cU+*u-sfP3eLZK4880>Z>{BewkP~$&@l439~5N$Rrq6YzIi&<17G?r z;%Dn=U5Tc3slF9TUJ3oj`xIyMVU*8b{-N&yW>&;J^6!oy4|;rAZS`gkov-x6*QquR z<~i91yjXwuuzUN#`9+Tjmdn9Kz)e^JxSpQ}?{TI{3XN;XHS$S%JjUvk_gZkXzAV;1 z&w4F^e@Gzd!^+ZnzBnV))A~O@O!eyUJ*s=xlTfcr;Vsb1z{k+buAk|-b|Vv9L{gn( z8+!GyK6;ZI;&e)VfL?o)^RWH0Q2IWBA36qZM15DwIXv5(_ueisd2ZS^b<)d4ZO6}S$l11@gRxm~V43@&C(Lw(kh=)F~y zn@awo=vwQe3)B0lEU*Gx4)cz&T-BiWbou86%$IYtEb`2nI+TazZ)hI>a6umQh3tOg zzM=fcKD166()WjI{ATD?>&96B?9)cfmnjqh&R%vK>zUQBnY9#okT2Yk9~L-gnT<#6 zU!7^&#j%mp?~CHtUp((t=$#UjAAYDB@+l+gJ%C@xw^wjqj~-j>l}#uK9~M-Q=DmAq zWx1@<4qTR@b0c5d7wgbT3#5KsKBHf!R-JIG*M)b2o5~w0o^w13KKGv?9)5-LV~$px zX}Pn$6ZzNNhJ7KroSbesUr~m9Vh_+hI#>K>%hknTaA)Bm+D9dK&jSBIc~F04fUA-5 z^T12rhF%QKgK?-I98GOfn=9gwSz;#_bxb$s{_(g92Xv@ugU*t`A#)C7z zhm<$BBH-+oIB?ax(rWnh?++h-AOiKo%pd>haF&n0d=hyO3*Ax2M5$6yNj9D)hrwCT z6mTab2J2INX7F*Y_5fEU15n>&=64kT>qX$Y&P&vPw)z2lbkB?6Y)@La^>@7T(75*9 zB>m~;(=BJG2NR#`k2i^|(5p06uo{hJGKwbiSb9ppcN#w9kKkF{L3dI%r& zVGzyN+BSG^VnI(x|EV<90UwU%g7bYr=y~X4n_J z_{-&!z)hcootDdqv@cW$)hqsr<2~K@Cd1!+2uA)@DL;Hq$REp9fcQ8z~QSdg0u~c4y~5H~sF$dSrhOR-5)6ZB6D!f^#EMNpF=)b`6Drw%j$06&c_1aGV|OB z%f-eV$dA*aDEd{6Tm1@sj&k7Qho$IOCU=U1{_1g>_c^rwo!(;>CuR9K-QLi=%!s8t z?7M|?JL^({`rUSb@>Zz1vU=^|K+ocbQk@Sr(CdSO#^phI=H)^LAf9V=!P!3gzSNQB zhFc#NNdLdUE8mAd-_X9P)vKr1;O}((7XJF*n^cE$d?X&4eLjx}46;7LTnFb}Z@@>L z{Tyn!e!7?RZRvYvGp-`yG`%hpkBqo&`*UhvRnY&K0o1m@%ICn@xfpPj zz^KkFKLIZO?Eo&j?Z&?2it3WARhE3V51kADfw?I^HNMbz_3=QjMNDPrMN~!Vci;%rAMq}+yNyTwMD<72J_62f-56&%|F0P7^W8-J zD(nj8*X-X5u4**D1l^c6%j}iqUO{@lR@g75MBxbd_X#0=+40yHdQ>5tANY}G;ATe} z@~QHUl1W)M&glfi&w_SAZ_>Y`ewQYK>jQb=&k7x;b16Fp&IiuJz7|gdr0v(lu7ba= zeGAV!9a&?ccl<4Pif3Y6qQY z5MRN-*}(DGFS2oW#OYiriTL@nN^7lNz5Y!8U9c)upe z>d!u>d1<#B@vFgakstGd&L=wOI^>hZR@noen}3l0=|GC7L`oOS#r|*6FCS08dm5in ze%4=HJOnO+v){+poL>Tc(hK;g8a)s{JMc@i)ywyzFfQ5lHsVyXkL`y3p9|3Iu`!6p zS=v6#a-MjG;u-mc_Qmk171l@h$PXVe{wdXmGj~^6y?URA=C^z->YMqy+y90;kJwTA z{|B{r3C6|dMbLWV<)CMgWhoEdEBhs7-N#Zr(65uaALG^ideL)g$pq4`Sp}~4?<|lccXW5#!~%-yzRVj`GB}WXHc`G0yoW?>o$w`DP2vW81p3 ztUupz1KbIsb1%EsHq3JNsUpR>{5bNggT}3~Tx@y^z1UV6KJ2jv{COqn*95+z^`Ac{ z>VwKp^Vz5775OVmw>;ySN|7#pPt&4;@SHH z`7~Iz({eR~{-4k^2_^mh%BW-JZFW2_CgHiGJ#U00+4!er@4J29(|Yi%5DET@&LMJB z7wB2lGT`d;MZ}|59l*L(W#TFS(aXR^Xn*9NwH=T3Ah&--@#kxX`QnX>OtAhc{0GEu zQt9_oJ+3hQuF)wS`BZ~OP(IzBQGU+Q`CM(z{@p4)Kc4%1ZD;sPw-)dhj}pUd9<*x! z{8`#6j7vW|u*Gt7h3XsYlMnky|B?NDV>;!5^{z#{|I67nPA4y&XQYoGxR_Bl+;ToW z2l`cC_JEu3r-fOr8x$t~xH0W(SC=5mWo9LCwkrD^RrwgzrOocd-O}(JHzWHEwR(2f z6Wn+jaMADU!SI0CVl70VTjk2Fp-F9KT!nHo$m(7&*$S1Gc6Lr$WcE@vH zul)^NcJQKgQm5`@&nz2#B>TK{x+C$a+mz+bzw~^U>$Bg#lJ-(O`Kuw%GO7;ZQCB;! zuzK|*oc#UTz(@OhnrP!U`RX8kC;BY%qc^(^v0S`ZNczzlaXKXmqYm?0bZ*pvsi>>$ zQ6IcV$iokz*PCi#y{SfV!SJ~m4S)ITdd!PF=JT_Shv#lie8WKG$JDFS&FZ=12hPWL zKs-*q*1lG6W^boBCpCax4GE|7e9KA1E58SK__8uqul#S4&&)csU!wD3zl(*R5vR(N zL2*`$oo@RT*Qjo=IyI=y?{y17Je8Bkr%ypzKX)qNT%>}-!C8f)l(&(`f)Qt~1aK#u z{=d%I^9u82#&p2En2{q84|h-0h;#T$@-I*4ZKvxUdY@h3M|$`B(CZT`H(R|B+2^8! z`mM=pmX**sLDd0~Y=Vq9v)rx?q{S1uHPYm^Sq8uL46a`M^OELLFZxBC=^_l2^nqUaheaHJlq=tu1;l4vYe0n z72K2x0_PuxAU|TkVQ@ZkBk_ADP_ImryWlcm2G*_fU_*@cQKu&(Kg{Jh)~5>Fj(Wv^ z$bRnBZcpp>bRvCEwKE1jqS6e~cNs?YaE1>!+eg0_v#0N{PUIkZkJIUsNdI!(bd1X< zyIwW+CVzQ6&~i46&atc>Cmxi7{maYKJTjLr;3BcyUg#@jpZ^E8LH=39L%auxbqA1t zUe}-YSHDitNp`%=&eFWh&rSNSIoE*a-AVKAmi@dw_th%!Ur&)wSOw@+^zjvzv)!-2 zRWyAMsWQf*ezGcCz;y_HU(JIbW8THeIMOGD!^b@Bh4YCllSI4+eXq!lSH*Ld4cY{5 z_Fln!iJRAP&XIf8fb$_Q!Bt__9dS<3G{5cYfonA?(laYe$8$f;S6V^R|8xu74&nd* z{_kbLc$*ZvF65bp5AD??lu-8ny;*^3cyH7#bJBA!{bZC~SE8X8^lH^@T6Y82WBrR? zI-j@qvu5GoEOD^5dcHH|4EP{#aOdoYILn>m-r!En^n13Q4|{~~LsX}`C+%ldjeaju z`OoT0M*3nhbrxCFs|zDMI`4k7CCx z7X$x>k7~4Psnwf+s>X7*JsI4r&yRg7YkM4m&-%UK&iBa}7n@iMaf%gFX`e0Ghxp}| zFvKG>=s6%dCt_c-AvgbkPpkWgM|TWZY5SE0CLgd|7s`Gh|1ruWtp&|jMKz+UC% xdU%e=U0dO=D)a(pzpPtkeVm%VAGSL2r4Q+EU7>lYu;CzhE_%O|KbKpX^gr4$*AM^z literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/21.npy b/MP_Data/pose1/11/21.npy new file mode 100644 index 0000000000000000000000000000000000000000..23cfc25c8ce3d986e31f0363250df8534cd48765 GIT binary patch literal 13424 zcmeI2`G1Z_)W)Y3DVn0CiWXx}Emg!)R7Pv5XzkQ)Vhv(T>`M(n2ql(C2{CpOYpd3h zu`i)%Y_Yo$`@Xlj#I1chBJAA;AN>XMFdsShZ@Ua$lB{ zqvikhFNY99*KUy>nDOb3l|D_M=330KMR-2?irJ6`7YS_efJW=Ahl|@I8g=)41J!$?fX4y-Hk$q~m&s%5b~f@cJ@w z@4?p?zlt4vfZEkSZdbDl^Y}J~pCg^S@Zvn$*Jt{VAII_CN>hy&Sc>gty4AhDzL ztIl2e?t(60T&B!JwA%}#5TA^{g6mwqOMG3&_@|_|)dnA<>!p8r^rsHg{Rck7-oJ^@ zQYW5LyVy4#@!7ju@u`-TeopN&?%fG$w{>S@-1d0bKH~cK5y-P!?E8Y+O>!%~zVR~j z@AZ21jCAT%*)wSO8w0)C^ym<-kJ*8EJM za*Nu{IbU4w-gQB{o*Z_9uGcFsorM38>d2Fq{toRbIw%3{8)F{9|Mfk-{!C#X^0#7X za#F^pdoS${uJ1RS*Gc70=MmSIytAoYEt~=_HdZ`K+$K+5MBHSZ2(Cw*1vk4l&4m89 zdhApEd){ZSyUqj8JBj&`nPla3TwntOeznzErBGYS4B)ysbBe-arihP+nl_!DMtN?Ax!M*xLz9a5peKPA~IP2GKs!BfY(pJouC{zaAmaZL6-1x>quS{9imn++v zxIDo30qOq?^XQqfy~y9TYYV+y`2<|7S=))Yet3`l_vYbsQf{{9R z<;Qw6pXFtqwhY`GvIJa*-h#h5^dGoAv6R=_y04+vae1(=bUlCGN3XMk%cx4=a^Z$Z zibq^s0w34#HR}h(4kGTRaXj`$HC{j8avgB~9KRaB2>aR`{}ub%ZVBZ)v^#_Ol7$Xd zr#$G3N$^*;4feZP_IxD#JD=hB4^(IWf1;2F7n1_+J-GpY?@9leq}RPO=cQT^=tb!F zU5U%>KVe)p`3n1=8)1o?s;@YnS!EE9ck#J_UakVy>wAK`u>F{KTR#W5{dYO)w3jm~ zCXjr(-b6fdR3wk9^n>x_W6w?IIRD9qbs`GRZ%BHbIs{zYAC7$59=H3G-dm89BG*^UKfeAl6)zsG0GhRpl_$a=qG27K;U@bNa*MV?j9b%@ifs{_54 zC64?3uJKUPdnbLFH?Iz^dLEcb+%9a-^X|Ka*MFT+vyzB!FUh>qZE&;uDUZwN75cSH z3vk}zAK`wlujJwk75G%tA8oU^VK?J0{NK8YS7CAdAZ-AhbLoPr@Jz* z_W|>KYx%yjmFv7JzY+HZ{cl19^p!IA@4!6F%lIJ==2;i`*s)vSV~73&u1j_USN?s# zRi9YgcTAJ+;9`3`jy2$Vt(aEaI+&P;un{E!QDd*uIo;Sq)Kt!4fGdYDHw<1cW1V+-oATh)%|>*1?4ff@dyD4#cU@)B^B zwSFx1t1CQ$k3HOyRGjo3Ov++3^v98FDppCAj-F9{b3Z_`Nc5nfofZdA=I^P8ZxfihSgd zN{2V6#euen;h2P1&!i!)QkNqh`Sujw?~Z00MLyyk?=R6l8u_>PFJRw!b55aOQ~b&~(%BYYqhFnC z9sG4}K3_S}KaASV&xJ8A`Gr4xbfFCks9$gPHuUT1f3R+yfB9(A%RC!6KhGj@e$!uk z8wcL-1lNb=H4wiysq$jtZc#VZ=ga{g(R4~IaZ&6t>tpNjxcWApPu%{s7jcT0wLN@) zuV%X>@~Jrpaf;oG;V*V&=kc!M_Z|A9A&6g%$br1+?R>6KAB;hs?I)M`{#7L#{AKCv z;I7r))`;gLt`F+7T;S@9dbNq`cmF`I&c&gQ+2D<1C?4@w0LEqCHAJ3uz@%xUSC@Ic z>B{pFzudN_8F5o!Adf4(1-SV1uSnwF{QT^{;0xwQ$0APAur|i4zQ~U{U{s{l68a_HDb6-d9ZcJPpp2YrPSCMBqVP99`Dq%76L#fPf9vDDeH{VTQwSBEFIhmY3`+|&pFHzPm#Fo}FNlwkePir`*gtvbZb%jcZ8 zF3nk=x763<r7b=E;M@;5* zGO0D@MW#=}eZhsDM?CWKaps4=Mjg zg5U3XJ*sk?seL98SN?h7Z|hFLzVHTL8&B~#-3#1J%YymxQg2}2xzYT-$mHw>t{T(a-th1F3F0&lKSceJOLJnpHe?CMKfDw7 z8}&2%Wy@s5BUT!4TgrD3d}=@7{a9fU#;f;DT!emgRruIa3hQ4D`;pHNPx+jzruN`{ zvDAn28N}<~q%Q&YmUQ6r%o#o(>RQj3ueb%hJed>z@`ouHuPm0v_4Cnn&gZa3+;5|) zxbL{Bra_7?hznVTeG1LS{K`s?f2Mxzk{=L{O6iDo=oKA5gY@po6^^qLKNqM5 zZ%~K5m!C0jb`yG+%I{H4^Lp?%;UT=9TU8%M{;KIi?l);9)`R)H1>(2M_<6_r@_R+` z;zAthWd&YWqFE2*Q~HX#ZogZ? zRWUEFC%+f+Iu7J{Oc}6%^y&#e&+6Ot!NuL$;JV*y9`8B_Zm*3*eHH=y-0E!{1+Gee zu@F8t__xMKZtdaxR6oM?%J)mGTN}c4TNZf)uIBdqCNLu&uPQ$;7{45x zpZ$TnPR&%{qg=oA)+wKC6Zye(hTf`7|qQUx&U{0e=4S`5}S6>+~Yz`|k!}YrixM-ObdhbA?Na*9Xg6nVBA%1UcL7eM6^^D`M{({HbYsD|{$=L>a z@5CnF7g>&uBrYqJ0C&fBf!luz41<56NN_W5AGpcUI)b?UjPqcR-(~%*9+QcSm>V3A z51()4fXOk$)utBUqV53HG1;aI-lutuHi4@f%@C&>5j+d}hM~xteDo*B|IZoIOvCqt;482U+3oaL>fs0;ku|8Gn z4>-=99l-T(Rk^;6DhqCI{l?riL;aVZ-h+?$_zbw~6&*?b=9VAyF3&Y^dw$MH;wr8e z`{Wsex@|8O?Lu*it$(o3u##9m-rSd#^!nRP%!7VKoz#WTEP_wA$MCT=dLaM0=gVp2 zW3oMl-ut5v)~#p|(T?=SP=7ZZg2>taU3$BTT9b*_Hf-xm5wyTDzpyu3~h`eB``7(dLTc$(`t>AX+- zErGu0dic9FqgfwtZ&VVs|MnbQUcLvO@%%HI^y<)L_?z3ekY_PtQ8;lE&=LN&@Ob9i zuCIqal=EZeHbS1or|tmfZY?3#LbPbi~#-MS)g;iFHrzT*F?WEhTrGw z7hz4w-^HH>SJ@JIzu!s4KD8G!^S?d-{kr%+uujDE;+&r!KH_;ScD7GahL0{;j>pw` zGW*nOJP^FtPpogaEtUGS_il}+PjU7U^ExTWr}%D6EZU>^cYf2v58N!w(Ve(?$obc| zK108*M8P@mIawNcb5-Y|U%R;GV&YzhWaQtb%;9{N{&_}H26sFE12~o6Gu`+rP&R1@5 z0PCmTg}+yHdtK72FD}AgCgtb(ZG9GXSf70duGd_EUgZ0GD8(;Zd#v}l3NE{@97kOA z-45f#gZYvo@a&mGq9IJl0T2kvUe;k}<4 zcLZE?X#y_ycf`IkJ@A&%7SQ?PiB@xzhX|)t$;84PGiM>(|Z2e97Vc5U2ig zKkIj|0=IKMhF*MM8hW#>FY1r&(7q+&2^$HnZXX2KwUhf37tISY?{o$6i_}D(-(C*f z`m1BmolnDl@zgSKH>V!ddDdl4!gU zJ9!>E{Ct z{u1%aW8087H|KlaM@c_(zZcFzZVhNu2jiCz>XP@lg`VIf?EZ@GIgMKe(K8HRT%Ik3TtN5ghe#JFDN9i4#5Wjcx zB=RHr@cBf)Tg`dC9`FZzVtD^b|6tC;5dX%+WtPu5|GDoY9y2!rbxaM~$9eD#hK~x^ zJ)868% z?~iMXa=*GtyQB=c_g`K3tNV`gpCcIeDK~pK{Oz74oQEQ3@!msE;`(N%Z)3iVFuEjjM zM@PWT`w^FDoVIs7=Xpg*a1r4$e=JNYDx#TIv>uP1bPuPb%mlTgGj#FPl| z{F}i=$UW?L^Rhnf`}#sF_=~d*;V-K^L*DF_(eO75S7Tje{Non<%|Whj>aHL9b?0-A zOQJj{bN!L|zXrE~bH@``*Z4f+b?Xf-RveiKUNsx~b;Y-WE8{zXxJ=H+dHAd@@9QIr zhY&Z5{5j6ae9mzL15lUDcYJQtH7?`)qkU7lkY1bm&}(-HT-{iz;WKnFxE#|G+&iR8 z1!m~IjuPXQZ+7xNDmWR>%ifzr&fC=1$eVq3ozEwa`8ir^{=LT5_#X9Nh5rq``I(;+ zMV4=|Zq2LA`+L{3=vRjL2P2-D<gIW&*rQS+y>&yXK5k8*vUaMIhuRS>^T zOym3veA*d4AI*VYzp#i?J`9`%UMTb2*z^qU3vOs{JV$sV@AJ6YRKYhJ1e>1{$^=uMk;h{qf&-;MNg89y(Z8;bL}xoL0W zDvIl#D*7Iu-`cmV48Aa($F-yuxJ{joI^e#_3ND)7N1SH-%@NeEob?Lvd!Lu*dV5Na zB`!kuv(JXYh{yZj5%!UcnFg*>Qo;3#5o4%dH|8(qH+WsCz=`PB^KFTF5rM-v&Rnl7 z>AnA6K(D>b|Bw2(RWy8V_l4dae#-GD++Ims{kH^qS2h(~&MX{C+=!EiU*>9pd9mxS zjZMnnVkAGOyW}@~AB=kyOWd{K{h}8aM?OuB8C+)?oP&=p8V9{zUS|R6jW7F~^(Ro@ z+>5d}2ddu15RdFT30!un-;3grr+YBJ9}X^(jt>McZo$RCG2r&>TjWiRI|!}{tY!b6 z5jcN(es{o4sYt9_ZpXc!>{{2WStGl5f2j>xYvtD3+ZNahNwr(9fkLzH5{~+u2 z0yly8G4F20O6b+iDd2KgbDU31>;Z6hCV}TAAQgF&z1D$y{rLBE>053}`#N4{9a^R>Jd*Cn5(SpO!KpHocb{NSqCVepJg{{Qd)U(xa_&g5tlW&Uv+04_OBg1XghJe zHUa&b!?PEW-aH80MBJtG@3G#P>KK=4J!cPm{^jRRllB1q=5-;&ql3;O53WqkIQUdv zx&=N*wty?&b{LoG_z#}*y!@H_c=J~D>!#Ib|Hu8f&UGm;lYI1!zVKJiDsr9P{R`@n g+LyQ$@jR*kZbnXDNP6oN{3mg7pbG1&K;^)8V9&X6-Tw|LynWb;CcHzytzO3H^+74%$YN}a$VdJZ9Dt4@0Nj$W)nR7_6zD0 z=vkk8Htb)|vkLd@KP+%$pzqM$!vg#EbG*5)e^9?P9yHK*c)zso6>8L}<5i_%6&}q0 zZ~t;I#_Z`X54_VpSxDc%+^3j+;BI`{r#$ubrTeZkKBo5QY&YC@(>dC@cGZO1<Fq@`;Ci#I5!!hR zd&;%*iPUaI8N@Gd#w9u*oxNg`YuCG|UB-nXKJjM~+NE!<+wk9#-X8q%vAd3!t@Hrb z&%6`w+U1@v$gixQ>5k*l|1{c7eEr?7oi(ECb@GtsuHDQ&`@(&)h`)EZc4=EZbKh0U z{sgppS+wgjvFKl%e@)l@mjKR-u1STi-?U5ada>&}>hHwui{Ou*Jj7?>qg1rln@jOk zjKim>R_&c@SN&42xOSOq8qM3dX~!KGtvVvle5~ht*KV^(T&I6nPW`vfg6r8Tp5WTe z?6IV8yz;cW-jq6mcto2uxSsn4;(D{-9gX8?*juNw?Qfxfb0QS+vXlYmaeYc@%oA@h z`z`zz49E4n{NInzzV9H$FG}5wa_wr=`UQ@wn0wZJ%6ga4t}B#_cHf2YTk1YdF+W_- zE=>81@3||@ig)@h&Asrw&LLc{GjE{wud_!wuCDu(cb{^8KI-4=YDSUv-7J~=x8p4C zeQM*h53%~2yYTt$PDYXT-Q?eU)qUp&t0$m+ZX>#WV$V#jo$Y*qdJ&bYKX&cLFAJ`> zb^XvT)P-yAdY#hYx@%Y0Y9mkj`!96;%0a)oc3ExWKk(o44A%>f5}AeL_dL$Ur+tc# zWuLlsSz;y4OHlvY?mBTM_afKMVH)n5w+X@H59amd@z*Wy5 zvChQi7|esIv4DIc!*4ntHe$zW=$B0c7Y$B9FP}AqzZ%pZoO|58;q?4&tp!eRp54GY z7Nehl%cmtqxOTbgSJL-hc^&#md8a!)JKPDJ$!o}$U0Y!$c<#F3^3u%9POpzO7~;70 zS_N)~?M5EV_J$FTtN%rVTm2GTR?5E6aUQ&!^qsOMIUm!t>Kw;K84a%E8-dI6`DQzA zd}G1ozzN`dYPY$L%j)aEMZ#HdJvArBYhR}Gf*kc^W@VoTpFHHlChP!L!wODz+&&A3 zk7^l;dC{@|t%85IUKG!p88lzrBbS1Yx=eL>jPj$u9j?98e3S~py65?N(!S$SqlVL~ zgWklq27=pUpH_~W8y?{H?{VO2!>5wYhZQ`6`Lf~F$)|a@K*z<-Xz1CBs>BW<h!|IOKxoWE*E^TI;q8)!(hx8JNy+~m;8!) z;7@2j=gYQ&8?ObZL%roS#XpAXP^=k(dgK57k9-=Iq`F%2li=a*P7a^hB+uNFbzrt!8>PH#Q(QT%zfV4s#h z634hiT-~WGCuYRib)U1&33= zf3zKqep6;qzwPrQe(w9#&vD)OZ}?~t27jwwq25fN0C1777WAz13XGRs?+tFd?zraS zR`E?{I3LmVEByJ#+*cfDJF+};^Dbt$r+&9|f!-_}7~R@jF7y>9v~<+*Mw<)O}(`OZgnxrjJblS!0k5rcJMccu`pIvZS$`3ZHU z*WU)`mHoi^;6`Jd5Bs4a{MqxL;LqAlkAi=@V&L*uFN&vqQRLZXY68yZaq>SMiu;$y z7eM^`{NQS?Kkhr$kMOGX_>FqF&{MW_PosVd1?s}(v+N2)Hr!H7%v->XJ z&!>3u(>$`ropHaj6F-vAfPNIu_!8KMg*WY={3nXjbfWvI?$U;Qs=b82xczn^`fW{m zc`q59k6nUzR6c*=tZ2>pGY`{9Q;WMkaIQhIM;A-JstUKuyAL2L* zNQ6K8(uL~bcGFkcRqSk z67_qgAMS(p=eg&+#t=BNC>9>-{kl&&WUE zufnc@+n(pa+3cz<MRc1<@yM*3oR2<}OyjyoT%Y>Y-|6koC&2mg^!=*u zx5{z-*B^+7Z%@L!=$_w9a6TsAzvMGF{hS~7AJ!dzokacCzn_Ty3Uo)mEOj^Zy3sNC zuy6fGxOS0L4&!3$E7E;`gI($RwG)n_U$*)>)osqr3!Gks?4|t3SvbF`A1*9MKZ_F4 zuWs#){D_|$t#+K>@+ZB2Zup34sY@Lf1s_3gUbI0xd_t}jj?4My5T`BM6wiS&(Wgy( z8aEjyB2M0QHT-q9A{ejyu%7ZTWIV;6(Gz(yTj^Y(JB87_XWm5jugE;m^8tClZHclS z5zk`UALN>X;Hq6fRq!Qre-|VEz&@tBoepvF*h395F1fEg@~k|M%yW7f=!H1Vg=oaD zMg;eEoX3tqzwBgZaNE*rrsH}{NpMyCdvHFrVua(SRde#GT@1pl8MX9d4d-j>q) zC7!`MgX4PGU2rpSI`m?AN_Xe4>TRWZ?vtH-vb|deUic;SBIye_JKDCt<97E#%Fq68 zG%xqVa9=Q!9v~jmH<8wbZ$aG0`Nr(f^Y#9yD>FYK!o_2cwdG$I_$T6>JRW?gR^5?xcZLreA3@_Sk&N?<>R(?ufBAYD@~qWDs)z7_L)>_o zM_!8aQ4rRVGMzEMtSIf_u4%~F_mJu3GK z_!k%8%5F#eJfiqw$92qbaMOYILpJ9oxSH}A{ybAo?4O36rTS?|^J7IoJ(7#<>JZAF>^vk}vPW$=rG1ymG z_Be2J)dJ0# zKA;)mWXBURE|Kpq(mz}@!s%7hjo|D;ajYYIzidbFKB3^Uz;~!;5fD1rJ5A4uoyC5o zQtADJy}2LzmHBHI^t=k4S4I3BoHKR3*TnbbL4Hh|9zM=T&22z&Uit`s)3Q3wpFAm; z#wAaH+eycoxOjBIt>8L|){%TyCx_$4_bND(ZJ^gP&Qx{&=FJww$&S53zv{f#X2*F~ zTGxEeV&va`h+pV@#P%|nFV$ly^m=5}636v>TG#f^%FydEEif-EYftEPvk~CD`n;7+ z&w^;*mdVXYAKnw3pUnild3Ow)?VX7CRN~nH>bLhqaIv_-D(7Ru>HU~|y8_&->bBHz zd7jQ`D*pxA_e%H-^>+H!FOUcR;Wf=;KtgH9Z3*g^rFu|4x3vm%KK9W?%!@j*5qehY zGxlNCcssZ}I}2PLI)wY3C`acXk-aA6bN7Qt=Oez|mW+Pp1dvZi3eKyt(>{z#yc>@A zt%n!#$yYW{ae7sx5T3u(8n2D`-l`&eOg?&E5R1JhIWB#E1D9X&Ql0dAg*sFtW>LSs z8No%Dt6_+v(J^pdn8u~}SFCrr^$X(R&r%VmF8nUo=~9=jgx=_WF$D`klKY;6f z2f=OW0%M>rv5@%v!{BT~N~q&zAmxF-PX;$@v*Z4v&%T0Q6{P&@oMRU|y&g>C5*Gro zkC~JuT^$!c80hW$))eQ`rV);-^FhcP=Ua(C%n;|e%~F>5+I8TjL9vzKEB)caN7HkP zS+kvkm%l;tqP=M!i(}#O&VR&taJ|-o%l-9GpDasW_=pC5!THwjXF;D>6I|Aa0XHi> zu>YHtZ{fr0-6NlK0n?qHl`lm4WiN)?skDaSrX1UtfXqji1Q>A7A8OO`b5%`IzrNK`#=%L*0tSYkD{z9a@6)xnICX zzx^HKRcDKXi`FZ_MU~nZulD>%dOv?~nKgWx^H-O)!(Z>aNd9X>v3~W(F!Bk1L+=^N z-suQ^?Q`I)QC_N_*nOx&TdEM|(TvJ@)#=34ma+JJyqDt78v?z(92^p#*3Ra91-B`W ziRZ6B(dq3~s!!GBADWlsfCkeHxoT~ z%a5J#KF#z^uiIwXF<;`%O@H`%G^6}{Vc<4M80GD^F_&P4~7pDAVE=c_jvx^;dqVS=0Uu=sArI`!M!f%2 z72A=|;%vw#i`_ zc=`?WV&OyRZA0HNE`Gb~5%lcfGjQcUCKUYJ;}mB_@|UYLo<~&cd*Jd>G|p+F{DWYp zH<>KBh|3Dj{^>|{^(+zG%%|siu_>9J2TN1E>6a4YQY}v+59WIMzLc#h@zFC;C%R)n z8t?mj;I?|L(df5wdR@&ZP5Bve1LsvaxDxa_t|hp6H#)@WWtBR_pN<7*=ckQxTy*&r zoE^NC=r{Y^rlo4xVR@#C$iZ^=vlbKW3S`#KqXfyPxYGyLt; z)qzegeoWtgVnea6A`=jSaPmx)w|_SSR6!!8WRx==nBkq7;#JLX0Ixo#1BI@A45SLg~oFSI2hKFx>a zrr+P#5c)rbXrBlD$}hD4u&YbSXV0Rk=-2la^24`hfRC+nB?>-siXspE>U-2JADTHD z{WdH>dD{^8H@2L&&&I>=)8UIIr3w-t%hFuM>? ztMGC(-gATDZx>O&qCWlZ!elG1T)$!yopbb8I?tS@{004Ap8vFBtK)K8H0djcL9d_h!#<|}NT1&=A-M18J!*1%nqKw& zjPc46)sTN%q8#>rcIPTMzd-L@tq1)-*Y3Ilf6@FD)$O$ettDW=G;&{KoGY`cYCe_nQ*kZE#mo=zXCAb_@z2F+J^F`Fc6qREX#cU->31C}AkS3C z*~x6=e{VeLOZ^b$xM`CQT#7T`sz`h2bJakig+KgdQuK)-D1 zkJ9;wO|&jpOapKoTY0(Dn?{lF(Q{hD$6oTLJft*2{5&oR`B8~SyEq?qHk$Own&vl4 zDE47dnSNg@`~QXemtmW6-m{_aNWaP(^(I<(8|QpfCt5G|%Wlkzo&4=Y7mpg;9{rkO z11LYKi9XP09!>GI=tcGHRcN5ovyF#|9~GqkT5mav@rXj@V-V-9ax z%7V|K=aFT9hyF|)^nAiK8gKdT0pRR!lGtHM$+RD8Ci!PUNP3)zB&6`bJ~&??d-x)pH)WZNH1^Fvjv{B*mQdTz@MbA$LJjJHMnwJB|;rHH!cZ16j^qi+A`!9BN#k)kG zb2|1bz2}fYXHm~`*#A!B`b{HHk9?v>tkbKh`h?>;nBJoc|HA7Wmv@E{&lY*#wW}uc zan2FzVvo4*vi`Gs?$d7m3+v1FyK)FT!*Swmo5A0HJhd0P0`xmvRkOqT__XVE=`6<_ zXSZ4)9=$txn&W2lHS&o~{~hb$q8OKaQ35{fw;71XzPUpCbAcRq9y0z@z-83w80RCd z{f;>G|LA?E&6}D055Cy%`c)g2(z@&)vB>G|pn8l&Jg8wxV+&syG zepOT(_;W_j!RA~z-WQpX*UA6&AzH_Wiy?l!tIBTY!_IF2SJnSq>iT85N^Xb$$W7qd J&o46m{{Wx({xkpp literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/23.npy b/MP_Data/pose1/11/23.npy new file mode 100644 index 0000000000000000000000000000000000000000..5cc186b21cda4fcd1a102d06e44174add7850f86 GIT binary patch literal 13424 zcmeI2_kT~x8}>(8-Rj*kR@>EuWwB%|D>_l4E)yllstKYbOrm5ZqDvxJ6Be;pt6MFj zcM>H;9npLF>TRFQb>}a5etjOld|u~0*SY4NduHx4=fwQ>UE6i+k%^6E6DtoG7}!6c zazkGEC%+#nSL2oaMg)uw@EzWFM8JT7j<@g~8aObW2M+cfIWYbDyV~{Yc~twp8V}+B zxBqf6#&l5c+n(vaa>~q0?$;bnxS5##D^C3P%w6+ruh7mH)=Y8NqU<#5+IdH6H@n;2 z0gr5tb~|k<+F2)RXYKz+yY>%6J0DK%)+?hu%bHv6ej8H-?Rq)K{UVUs^@s1!uJg5^ zc2)-M>UU}v!?vcm`}w3n)c?z}bbl1J^9?QTx^|YiCdMak+&-O{eyLhhyIhhT_lv{L zY5WDM9(L_|dWQdt?+`yflXAuRn86ROx^}iJqy5|z#3u{9rS{})S6n;aO6_dy#|OA? zlgDlMEBo}=i}w9rkY7kY?w^kKBCQ&C%7yJ(T&zjWji*De|-KXt#XahJ`mU9D~N z*j>w%h>PIYW2wEv2E=Fbe2r^e;3j^B&&F3yrx#XCa`%hIUsF75E}nAS1f9O;epTE1 zuUxw<9gX;8nQio&)9a0Ew^8fPqJ89ejNANCd%xr2P$lG9RIUBiwTnmoxKDRlMRD9O zkNeH+wJEM$%^6Sg@*(yx?*Dok;t_!>>HcBCxSs`P!u_(s>eo(ZeFD)xt3Lzr%1hoS z99K1S(>fd$_1gLK_Y-ixdVA`=YnP9AWBexOQykjQ=bY=fxN^zjcWg4+rBBm8+_foR zKi2*72R^vpv=0C5uJzaoQHk!pP5*khYqoPc?w5({&@M(VnD4kPzp0Y@H4k%8|IN>5 z7U|bw+L-H(%f+)_HF4LC-%+&1ltI(D9THxAEl_fM^3+r5VT(?;m@3 z=7DGP0hjrIp?wxH81tZ>#F9RGeya1~&zCKCdRuN5xb1ZWdOo2d{CTzEq`#boadN+f zvz^{_zlMEmx;+M${y&U@-zQ1^zFmgAn*H~tK|kYHaCQH}d8bo@lEcA&5a8lfXtLv` z;P?F3SA|G7ESanU%#Cx-{P zT3Zv`_DCT8l;Pm|%A{FNZ(jce&cEyiXB9WhfzPP5;PQ`xSWkLdF!I1ltR}v6Ex4I} zG|cIFy~X6SXgbZywr9&6xBdNy51$3j3$2QQf00YHE>csFAJ%7#_Dt8SskHBP-hQY% zs!HLCPHztVLUsDmSa2De>gBlpPyk%@4FNauPFeVLJc9X>&pk*V+$g|tee6%@W!bvm zLKN)kIGb4u+ysBXJjx}-{GGq3Fc{npc@M5~B=&V&jrs(C?p*@wL60ln4}AYcaM7~^ zt)CpHDm!j}j3vF#W{UG};b6~n&VIi}{d(NRzO!vMjB$ECn&MaQkHW{ax)$X0HvA0o z#_Gh9kFQ1E%*PHi-uDt*w;MCV=|$=&ihpxn+DF$rDCaMa4#2#yYJIV;)PqsjcdXY4 za3Mc}+ZBCjy{-I~=JDshX&qjCOT6h@_^Ym8Vg1OjM$vjRO~}WyG`KB(7VF2(D+aC> zG^X{|VC3&E9v$!xe8kB-SXaVl!C1#do>A2Ak%oxh7LCI`H4g@Yn{QWOU+c}W*w?aH zF!I2*rqO)$Xu(|`RGHHh=Yzi3@9OQKVCT*ZJBM&*mnf@ag$4eDstN;KDC{H1yd^ zQ2bfeo%2lh6~Fgd=zh7^d-$0Av!J&jr=~(bEEb%lmZo*`edSh8FXQOkz(ONvUM^G! zaC*7682rWcS>XIDzXbSiD}eaLA=;-ZY}#C>XD2+tW%W&zpYmJ4&3}i`uRS^yKB~af zK&Ln1S1HbkRA=m^JLBNU-4I9GggYP6E+;r^n(eHoi{pN3bN4Gm5A>^2J3%ks1x=?Ab;e?zS)g^A+MVG&PNrk3vTwj z1m|^IV_a%~4si9j0`jI0Z;f<%9bXn)oK8R<*vfLK!~Dcq8rPB#ny=*o`@+UQ1Xmry z$tQO_>M(nGgY+K0;HLAr@y?&stPOwmtPSP4b~K)k^36BY?}S>=+XH;M)0?)xfSaIi zz-8ev5su48v>#Q$ufh3Cf%A&J)em}oe-HMro!S!fWhx8g&Lx6$V~yH|H>2G6#18)ciBpU^DNy-KlKcrzjj9<(sv(9`fjaJ zXV})9;JQi-xXjxZ<5EQ!xQRPW`Z7UOm)7h?K6QO>%%k2L2F@StM;+#GM$mlqTesfR z<>y5Vd@Q4R!Fiz~(3>n&A9UI=)FpE#4(punYDVKqXp8zLTTaBf z(pSzCFW(40x_Jeh6YTnlSpO_^JN6e}?K1`A{e$Y5NsXs{)M0sL$F+I|y-3@Pea8zl z4RPb;Ng3;Nvk%sTZqNgHP#vib=-d0C*PkEHaC-LNKEz`q%E906%7*%>pT!YROTalw znoW3K^E0>5uZ$mz=b)^2(AUMokM;yN1An6WA5stT+Y1IhtVDKtZZ>3oPH&elp!g$a zr?_i_NZ$_|aL;#~h4+ zzs|7=oQX*zz#}e$vnl9_exdMD zY2nbTyIHjJSI@7YUm5y=;;eIIisLMJ4V_zp7E(OEXV*F(^ZR4y)#WIPC-f2K(L6pu zKHjb2&uT{~=c7k&K|Chn2IfWjXPfAJbd^kqhdo$`{IfS%Vx3-mZPBmte}Bd4WZTQ= zSJ&PHf3}CtS8SY5fNM8?HQ;0GRfUiCKfcuYsG*0@uS&Z^b?m`g%%gt2lj6Dd2hMN$ z(v&#o!`s|IzjAXs#IJMSiFcg+I~;oXl#|b$qBpHC@H<&AOi+|L&~ZoHBZr;hx^ zLYL{PZ(=%E*{32-F?u!SKTCPk89U)`(#KCi{NlqX%3J;76#q{%k!RIy{5k!v^rk%XmQhYGqUs?| zwpt^8m3FSF<1$Y$<-c5S8dvr)(;ZjU%Y)0i{47YZ24|z2J37Vmj9e z^j;&cEFt~b(v6&6bQ(@R4|34Bjx}xLxLzMkFF10=u`-1P8J;lYzPmZQMoXd^*60Q3o&-Un#@YiezxUA9( z^UFg9U|g!@5!x@)KQ4DZ_7bggGk7Wb)o%y;gMTguAGs?Z>W@h%O6Q9E>%sX0U-+x| z^6iyY;A#KQN;vt6?d<5e9z;^80B3_c=%E3AK(@)^%5S%BVm)bSDE zYSVV)Q`Mqzu~L7Nenv5zXLJ;Oud|sL#wE+G#W_lrECqkoJO*4$UpY0=jW^#b#K|-D zfR7l`Ck#A+o||Hg54bH*3H6ruxB$Hl_5wF0rh}`n7|Q?tyL6smL3n;yz7%=Z-z>&> z?YaWAenRMd&HP61-FDa|%&+50|$K*OfJZT)b`nlHt$91hw6whrs zzu8{N%Ed1_M5A9by9$k~MfGr}w{dhH<|})`hyCx(m_LqqWH>mF3tkAG?<;W5@}Yj339vlg77SQ{+2=9sc)zen>cm0~D%P}rC zGnJkf@rjciSF1OG^9vczorJXkj_Xn7C=X$GsQ%wNhCHa&^xmYK&%`{MchSn}*?~96 zGq3d-oF7lXd4TV3O5~MR$r^qc0iSN6H_|=wISSKQ9 zB)EDx9OGqky?;cU2bvP!x{}u6>==o0jqi+jSpNW8hdHm$@pR+*=P9j+;1jeShCdnV zxXt!0xGeo2^n5|(WzY}nME=Es!0m$q6P!P9@E^GK38nQ=WJ&~h5svZN9QBbmdpO4u z$91NU(6f8PD4!SWV?C%r^!(C;4j~WRyPO5zlh>ALD7z@=vFk3Wopqp{^CXR@)La* z(q3bUSDmvI`UEfXY2OxHzV8n%Z7y*0*2{Q5Wuf5gWus-(ZvgbF)N=A~ zFbL-^RgT`%#f)>9FVU$i@@y_p-L^yCg7e3<8+y9@f4w$^=B4sl z(*LWl{$9Ya4+2*Ww_m{h3;IlQzdE4~ zxIA$HTokA?!Et^s8l06o1g?tioa(rEo{@*ykHNXP7U8(*_ZoU}p5B8@XtQYekNy>$ z2M3{!$;I`XL*MQY_1nKQ;#4R30{Gt>gS^Ridud!tC(`@H!^*^KZUh$_zbtinRy6=V z_Gt{(zw9xvK77Vp#k?5*hNxpAtn$3XbUE*Oj(D>xRNu1g!ur&YionMN(f3=EsXOYM z_HF>K)0RN5rUXrPKDz5i`0yUri2Gj%cigNgN%5pTAny5KqT?*b81iW_9d($$@a*TA zjzyJ&@R71I*1y{KMZ^C&{e4lNj>5Ri&5QAli)@)F5Az36{=K?VoqxsPuX=t<>o(N* zI6W_30i1V!N%?u-4&&wgTX0(^9$f4=f^(N0{vWt*HX2+H7%|<&sSoT#oHjTK{?@+% z_OJAgBA?H1X`N4a;_LLLVlp^0g=zhi&k_oscf}DuJ6nL>JCfe40FS19WExI^UW{If zyy=qJ$fw5(@+nhvveV0@3&GXS=g6}-^E}XT70@64)?*$xFP3v7{Ih3<-t_B0b>`$P z%&+{5)(P8A@7*kSSDYthYG3mIoCWh`ORoRT`S3kn;Jk0f_x$D;Iy%md-y{9*waA0= zA4l&s)hYkF@{csX)k3gNRDarcHeUgZixvJjC^6ked};(AJ9H*|Y38zcy#~82DALOY>6V z5A@4F?pf}*@w$w87h@M8pSFyeo0!gRqZ|~^u65vY+j*=XeY6U=UV0du?I^6AUdFyA zpF_iu2eD=*^m0dM(jUxB=aX5X()BBBGvdwY?;WD^hJntu&hh%TgOFYkftPcOn8mxqtRNB&IyW>X!+$rjxq z{|2#i&h!XY(9gaFt_OWU{PN90dQZ7~gY?rh@wAV49}#h>;Ocf4aJBy+)*+jA7Tn(W z7MypOi0_c{c5%e7mgEE%gJqEGmyaq({e?B@Zd`zV)(&=TT z`qVGW4K9+C{oqq3iN-rL8S|q1RG8zqZB!U~`*bO|-CGZFnhGhTf4`pe6H7s_Zv6l~ zJ0F1hBTqi)?&4v8&Hz`9PJ`1_5>vF=ws z-wbY+HOGEo5w{~8SM3*r3%@|@3)OuH`5)~Fu6sSCJh#2kJJI=MK7;t#;cd|K&E3$i z^`~)h?@aI);lB-YdfV$7^gMS6_BE?^xv%S&?b|~Ang{e8EbBKL@jR(P^D>nFKCAn! zj)Q)~1M=B@8G2oPIqIz{{1iT_NM7Q5&(3#xTY>tOy$;}9AwqJEN=)aXUoPlbmOaRu zS^Pcrk?^OwDmSJr(wU?HG>cjZ&ID& zFJDMIy=hSl+!lX_y2q1JV&I>BGkjQ%iCAyyeJ(uL*lRjR$(K7R{u;TFAN@KIK0@rE zd1*3!GvaxA9zNpgK*S^e{<$;!FVQ+=UFrF&*7h8bm>!Srbe{5Dr$2nmjqrs|&x_FW zP9N$?>o#cQe5aR>$Dv=<=riKv?Y}|4tnWR_L)0>w-&UulIUl?ICb&J81wL#Y?rl5(eE3YM>SzDxazXtPw>Z)G~Qc2+UQ_TVO{2G+ltdl}Dh z`LruIYc&^nw$CahIK3|FkMZhqIjy@^eb!+g@mqf(PPTRl#>Lnos@us1zA(8S^?lw&#nf%gs@|C09Cj**Dp{uwyc`OBLb z=kx0s-vKJVr0+R?8Sgun+R{3i9y{IX&Hd>#U-Nd*xIX*9U#xf!fAL*G^lSg>66WF& zA#`5VUO#~Ij#sBT&PUPws=_0|)!tm;j?2;XJY_W!!Og{=r#Y_6&^ccaOaq<$SQHS-qXW**(RXi8utTLE)@dwSL>e2-3O^>Y{;`~L# zO2o-q?V|ZzyJ3QhN4@F_Zr}fg{D{nvt)b76@qEnF5AldnXZk~5;~?p?dO@##UXAY< z%r_id7s`%(#71;);`GMj1vsnI99(4o4s}59$VWc+UQ=DlR4CZ>%l6Q7-)^dfdaM3D zsT?Z(S3*3@BTuCB=a*x^W!+S8S^lTVj@una!1>eH$iEnU2=m3e^}%}JXTuN= zZ{8r@>BYC1!PVF=G+$GH$NMY`8cXZv8l(C3sJ+JN_1%BSpI;)Mz`$XSvp%;mFM41n znin%YG|~CTd?r4NA#bMR!x+a+ZmI*~cqMSYGKA{P-;ba-zb!!?cx2tB@VP?%ym~6? z8(Z6Or0dt@r#hxfMS`2#2RimjMR_cKDEb~zOQcVUIVSbdK>X)FG5r2c* zA=!{;@%bJ3c+z(&)$+Gk*RR|jj{L}BSutK)whf-kY|%C7*_m!wx2)apc}_3h{|&C{ zMuMyV=As^ojl+mPq`xDZ-8ZpLY*=;TbLgBY;tNkgzw16BKgz2Md~Ep9agMWRRG<0o z%GB@Kxnmqx<7pnPZ*huqp8-Pr#BzyJ3#u)Y3CPdDn3Yp5<} z=acaN!Otk-$>XtJp{2e%l*a6YTaTBsF4fjp>jDC&((OvGEmz@bN()Q{^ zr|T!SJFb5j3$FcF{|Vlt#eT=lv&-=3?Prb#_vo|7aXz#=xapOI=d8IKu><^GMT#fv zAoe4_Uj=oA-~CAamS0D8pzck?X}`&MUwqVgkn`tjiXl!ttSs`Q>(h5R;d6GI^Jgjd z;4glNpXK!8_T5d6i*cL5^}9=WUWn;6;4gcGApf>WwZTr$V);&|SF?(Nt8I_*_ewi( fCH&PaI@hRssZ*U^Em3%%(@854kDRn2Eb;#UDe?V7 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/24.npy b/MP_Data/pose1/11/24.npy new file mode 100644 index 0000000000000000000000000000000000000000..1f642c0599f53b7e3fc4dad2ee27078b7007950c GIT binary patch literal 13424 zcmeI2_kT`F*v3b%tGB2_EY=Fq!pf3CtQt|WQGy&L(XvPoHH?Tvlqf-TBdo=0OI9bN zMO!7&`{>KESRrebyqW9HU-16=zWL?(Jm0y_HTT?e&zw2uNqpxYeY*6@!NS?3nuCHy z4-Bi>jMw}=xM|Hgyk_vourXo%M+A-x8x&;u5B)<%2W9cmL;8;j%KBcbzK2JHI^Wdc z5&VDqSCBF0%o*^=E9+A_yRO?$(P7p7Wc&Sm<}3SMb^eTYmE85J{jQHj7~8JWG*Gu;< zH2&7>PS|!mkJ@#Px`JYTE#0!Xz#n!}kz4IMD&9Fo1R%iM)zi6-5KcpjWHL3eK%lXD%pW09M zE-fAHg;&%3S4zdF4DbEkwyW2-(`>uA)tBbY@68d*&8bqzGk;tu!?w%lF}P0mJVO0< zYJuy`$_rO*yV*9J=H+o%3a&5T598OTqjA0JFay^+pIvahY;*LT)v2dZ=-&iJB3`k< z^{nN*%R5}JYK(bj{Z-v4ihu3lKW)4IDjDNfO?+3_cG-Nu0?XCz3&wtm0hg$KO#Eu- zBiSnzo&{&q3FZyqZ&F zeb=X(--XYFDd{cj_tmd)z5MbF?dtf!g8QSsdH05kY&&1M9NctnaMNDTp2V&N|9TO)&b$MzS|42qzRVAt zuk*$_V;}vOTP_+VfXkSLH>{7j6rTwF;5p!GdkXZXQbqWSl_B6x<^znAr_P!OpUgY7 z4}AL)Ts0gTYW-M9AoQkRBJwISUd@32;{ftseEqW3DVJL@mh1H9;G)v>RLjk>l>;p| z-Pe=8-fzf*^LTi?<+9j1@_+vfT7V`#E+)N-v_3jz8947X z1M?yq-&|w4Y7zvlD$b>Oe6TRVa`EIE>Vl`;Kz?|{Xyui~`Hl%#_fE3`*mu~T8x`PR z?FVq}Iu6{4eb~lwGra`3`7MI>saEc_tdA^w3iHK3H6(s}Oqk_5Wj*<~X#}qGt@{!B zz3#;4eZf3BTTTtN{?7Zs#P5Fs*O%G_S}s0+g1;GD3H2b-PxiN5&A$$=?{ou~O&e9S zoE2C`^;15H`c3tl?3IO0&|Ubm&kwQgSn9R0R_}a6@tZbhvVHQ7hd$~et*4R8;UoWg zh`gDUF66(6@}}~|#acZp8wP*zvM|ld#&4wc*M|pUUQCNXT6Zn`VBM+FBf#aN|G@R4 zwx~D#xhgoDvX%JAyWncud-yBQ+^8Q@)|2Wmlj@umu0ZwXwHoV4o-G3({mzr>&7=8D z8;_a213r9ILDZG*(Kp<3wsIu&V&!*;Uq{TvI%T5<5qC+%x>g@%V_mb!laU88=n3Xa z&U;zS=0Ti22Y+WuAlAFg({M8UyFUfj=Uc#E{JsHs&~xrkJZE3RUpJ0jh&bz=q&%m6 z3%#jcD%f)Qqz~dT-5k@_GBdd5&{k(25&2k<^=L&szG`NagGX_4PqEn-4wjo)%^GqUchJvtJdelM1|p)$@td!S&mj$g|v@8fx_{ zzy<#LpZPRjwTEo9dUm}S;%DBpPUSZv7g)V>v<0|avjgL0Kdu9pb5Bq_agpTzuls2D zpScBY@`iwmtMTJ4*RSGfT;)n2e%0)%W4TFw1ihLY3xD;c0Q}9OaPmJvd6WH;F<#ks zDEa#)Vc!sqJH(*hC;7m2Nd7c0+h0l}Z~Muf_e8&}lt1mmeMV2UTom_$o}FonJgY0a z##tZX*A;qxYa`;+`TfGJp8J;uH_yGn&ABNH!6SwuKhBkdSQj#WQ#^czHUwwS-++rz z^)N1{Qhsn5?~45BlxefAULULsE*kzqd0tl(`><-5M&sg>D4!Gl#{R(FpMyL9Ob2JP zr(++MRqlbSoPpp@-^dB@ukTLr{M>=^ye|UxN2gpR;)m;!|8}~6$ywguI-S-pOZS>( zeR%m$(qAbIy^Jq8*K$*s_7fJi7wcE?VVE!dhVG|ga%pfry+6if4rZ_G^nLK*?v;@r z_Iwold841eor3PzH~4$%*LXK0eaUUuXT*;#&`V!GaNTwv?!VHbB)Dox_d9ja1N)2$ zDM0?)7DCTH_+VU40S3-KpCDEe~T-NhOzs#)@?Qgl=vEQ1W zm%;V6?EUuZ49qXvH<8v+)%~=-7WhuLDA36 zY@ED|fxqM19ra-5c19kA5A6f8_zCD`j#sf(FC#SRhq%IDocjv3s{FUAYJ@Lbh~F&XVf_ZD_o8mV>jm<#BFw^2Jd+rCNjQaV~V8oOujfZ2k*z znzjn(8Fhl56J?H4;Lg`wv5r_kJ&Gr=6xCayqO)wAqIQ3ZCzSHwH0w1Hc_<*M-d07E z-t`U6dm@(he|7W&;&C$9PPg%kfX!Gh%x@|BRjC($wLZG&3&g2!&ZRi#ZpS>bxo5#y zYCHI|FF~ji*6Me}!#(d~UgTi+N!G_1OzT%)U4;Cb$}h0)#HIVxZ=+AQtj^@Rg?{Bb zTGvjs)9?|sL&9u3Z|{b2@xHZb9-AhuO19TUrl4OD^_cdz^!)RzUW6P3m-W`*{Ki+! zTy8mgVbHHw>5KTCelONS|7s-p1XqQRlXQ29<)+3f=y`rW#KZ5uU17QEnTkBfJ>CYo zTdo6=t$tr5#py}=jQF`2#;XTxqj|p?f%xUvPLwwny6>wJag^t@Xu5v|l!2ZHmjGvZ zcle=SSK1$(Rpp2W)@^Dz52JIDPWT1;m2SKd{<3RJj7yF0i#$7tH$$cz6W*H75eV*{7k=mOCq}Q~aZ9fa?;e3oJKneaPoX8SDd2=`vH2v$&YC37pkm z3B9`M?g9U)Bj6)z6hQoZydlXx-jb^ zNZ&@`T&>+{-N}eRaB*d6fc24q4#i))8MySnP&7G<>kbXUoq!$-73HT?;xNluUV2WE!9}tEsDt@2UO9Uk)yZWC{$}}j z_{*KwD4s#l#A^kIBF;7+k!RUsFXd<4cWcq_?N;z{&UmB#vz{+-pAxgPpX;B~eO&o$ zrt`^5s(%%}5qjrHVVq~wyawhzm>XTAJ)whpqB}c={)nkHQm2zuBQ6AyPWFe zY%1!9$Ibd&|^6B+G>Pr5_F^{a)G~|u> zRK>i@rn^>Hz4ONp;Ns6+h+kAczQ}U@E*zYC+3&;>OBx~9!tcy zc%SQ7chYs_RLhkg?MrIbL+H(wpTjJd=~XEYKR+V<$8nP_*FN;zWV~ln-Np=+ma|S7 zG`~x-?}Il!46$7Fqk0z2%3@r+%OR?_3lHIM&W0fmvUp8Ar>NPU;Cj|=#3Nkm5BAFP zksoG*t4=@BybMflihlFA0(aJ|r#jr7)3Mwn`5_*YXEf?ie|aiz3-Bn8?Uik4(~?sbPp$=i(4jGe?IFAxV$cDAK2M{mgNqwg86m!G)CUo zuvaUf_xO+E93BF0K5^88ZrK=m;d2~$(0$#M)$3o5L$Bt2xZ-8wIIuqeKK`NL!tF4) zh%Z3%HLM0WSNp(uoeDT_^AI|(s<$`5*{~g>tdCr>lk&5Z-Y+?!FS}UIj>dxXMI3c& z-o{R|{fn0LUda6ZhU&l2RNAi&(D{Vbc}@DK1F_$l!XMzH7M6rwm+IhSeVjrxU#xQ` z^gQ##54K;YRusiQ^$fVvxJh%%Wux8Ty5<~k)y}&L;)%FH`ng?+hrRzE{MV%W_S0<1 zg?yU%54PIx>?-A7cUwmDQYLLdau#;B)u#E1SxV!2HE47uT9$UQ7{s zFQmSV0e8|Stg?C$oxKl~>qzq((-B-(rE|ONbrM_+*oOC_`d@kvrjAV|{-pXE`1Gac zP-zr6ujhwz7f+#cn#o1)$K^K-kZ0YUeh1-qGq8_ImnoiJS@CdRdJc826-9pZ?-fI> zKM%M@^P;vu@Ay9rv3gx8X`YDZ{$+zBaS9Lw(ZI{9C{wM z2InXhl}!5A+4)JRfP9K+?Veb@_^k?_zjV1ho9%ZN6d>GsSt}EAl@cMEVi?u`W#E zQd6vtDB1vApG+bCB4YyjO*b((j<>Ai4SL zC05VR_a*<>@O$>VPAuBee#)iC!1;YTpNqe8EwWsQvB;b0t!Z529XwyC88yIlz)o;g z>iR19+!+NQu_pobubcMsKtIiIVP5!wX4uEffieq|t$$z|I9q=cTztO>^{LL6f{)on z?{8%(LHk=oQ;PG_O6Z+6ez=c_nE&9Tci#qQ19!z(e^b6Z>5FFnzToVhWVu{FhT?o4 zg?(7h%QwKrX=0DUM^>wW`q$6jDywJTo&Z&Fh;x_f@&%lC8Uyb5cZo)v8GGSx zu3dn?IQ0$Iuj)CQ;;H{1>fC(asK3?o+84mZ>oSN_>^p`!6o<>wJcgH`=MLAK>#Sa# zI}Cq0dj|Bn#R24vZO9EDwfZgb=1)+!s^emC=JT57x7&l!)_6SwrAF$sAgb&W@azFST*kaQIJe3m^IL1N^l~?*jhm zF}R7}O6xsuT|C#A%aniV*#!MMl}DgX#Mt`e)43$ZrG|{f`9bGv1}*~P;KL5(9+_9U> z^(vzQIP+XX@n@_{wA^vKfq4;2mtnko;D`muSzLPNqj+{~p*-LJ9rYvg)TVx0rGT?7 zAFy7GPda?qmY=B3*G+<6`*(+4cg%r2J85$q+pqCyO?<5jxDY3UY`UwuXT^!pU&nK$DQ|DKo7>+4U5SGyc(xyd+1J~hani6V%T zi^t%mcs!lcswYaTceXzO=TqO(x^BH5&nf2KUGn*AImJIe6VD?m{yOnkUvTx`QPiP~ zO9j_0E0cctgqetQa5==!M&>2GcL?Ga7ij&mPG!LP-UgGcp7*2si^%>xNY#IW{IgB8 zk7+M@53DNZ#QJhd(*A7Nty^9;zpGo1wm$6qWYmN5or--x*QuL?_U+#y9_I_qm!A5} zLBBgZD9?TKBOclEaj@m){CSK^cDsmqVF@nt!E={{USzDK`6^$P;=FnpdVX*VxOrI& zdS_@O=;hfk>_1M=eEIm5w2_KzSeUYxcp%()`eJ{1O9wK7jTvO6yw!HCiP9u@{_LTDE>S2 zp4Ranf_~Ky8kZWD6aK37qo1ta6r}x!{S$$8Z63w;v+?K(yC}}Tp5uPUo;Jq&F+ITz z^TIu*;5^`5nX%mJS?xcm-*LB~7yV{Uvz&XrpmF_O1YDim5pTJ(J^TLH@fe*e@|Flq zw)}X0=ylXO78`5*O%J-ynrpwIU*?xE$a0yw0^>EQxxkfo zB-V@A5sY|bhq{PgY|W{xp8r-FT&&D~zKGnKV7asUH~6q)6R1AlzFVD~#aS$!qxgpX zh*O@*gZ!9%qsjm6KFa5qA-mucbO}DHVld({zM0)DXHis#d=uS&waa&dtiPC^MtOci z&->!hki}N7C(!-Q6zPrlO;B*W)ywD!=+{}suujdnBIs9rpnXaAR}@d>T{EnY%4raf zs6o#KEP;NXGBYZ|#|+3%``DjxtE}D(qWm~bj)3#b$n}`C!la<)MKiT+PZ zo^VI~J10-mef(cP%1`HoR}jazLK~q!Hw@!-N*6HpJ3rkD>qte>`$o}o1?4|vCe_;< zcj#s58dQht()^QcoTIY;KP;TyGwW|P-KRogplA6uArI{4Q`~=9XWHLH1f3^kY&+yf zAM+)BIS<4yKE=XcB?KXU@qQ%YF&Ac_ew@@2(5n$s5x=^aM9(AhR)BLs?=f^l#3DOB zz40=*s2zuMFIV#@&yyO0>q$pxzGB^`TRl5ci2Q%0^Ss=&9o$*}59ZN~`W1TJVDAj% z&&`A4+?9qrJ0)G$SS}`$4_n{{y=<{B68uqizqda_F9yxS{^0DSbB^+V3C^qUMZeA)Q0m^Qw;u1vU3R^z7kf)Gb^4 z?P42`nzE66`i@2ZWps7y=fcy4^zGYX9$C3zIA7^Jt*Fiq-9SC)*m=KVTut84x{e8@ z@%HE$WjX6j=X1W9_C0p~3Et=MPW|Ao3;DobpK+oQ&xdIE>s$vgE~i~f_=`vX!e6@- zLBA~N$H?R?d$}nGe8dr2U;N|!D9c$i&96zJ_oA|X=@{taN|HX3e*cyIy3erO*#>W&t%TI0pJh1fy=h%abA*>dpeejPt(A4 zt={0=tz3PtEUxR;!FZkWr)V7oJXv75EU=%(d%PF+NfA>S_kI4o23JixBF}2a_%ZNF zyA95Ldw|P~9H?9VXHAN~&^?N$xL1F~)2u1_6~A<#bKSGAR-oU%R*{cKXZSeHUBj$i zPp0#v)A|nbqdJ{}kD0Tc^eYk(Cr>I(`>^ZZ#E;#g``7hin0L161GqlX4E5&RofTpI zP4v%*(oM_`=$Nj)%+;HTFe;w1o>P4RM;Jj{s#N!0D9ccBA4?QpI+dokK zObZIJTu+RKUfs-#b>ZB((H#0KugO2co7T(dlGq2F{KZJW|1IJ)?h_~5etEkBq;KMm z{Zc?+vP}eRrnVe&yzq#NFQ`|IU}4m@hH8ALd2I zMIjy&ReP<~>(HFwykjQm*M`rBPvvpoCNdYz@9v75ELWp;z@PQH4j;Cu`%lmtI)}50 z-7qhXkDQil{d0W6yoi8I8drxq36`rhW#FTBe~o-P4f6 z;JoK8?2{_GIQDpOSC4HGlaNedK<;R82 zOXA`Va9J@0d3FY8K+iYLLEZ8z?Uz~~Ss@1bQFZcSyhhc>eVM(x1-;nW6Lo8H`z^G3 zCz$$m{+SJ~O8x|Y$wQ!LY6-YbIe|LikH4ijz3H6E=KT|4eN4HJl!u#s(2LI-$6Kz0 zv-f9@THsD<_*lzXR5-AQQxCuiBH zQFNYB-xq{lhQG$V=sU-ucRc%mvrlZL)$0X!z_n*}(g!9jx14XvL*va8Mg6WVkNuOo z(tA8zj@F~j`2_w>#XS_y?l|&!+7;&$S?MY`d%gqn!hWAfdE0)7`mJ;uTvqYKIfrdd z0+)NBx>%*~sW?l0CfBy$F;GE7l>ycuG=xX9L(E**8+a=EG{>duU4x59EY-#f)}6~FzV z{bV%{uCZK~j5&tyn>v8=RS|2!&$c~oxiUY3%hN6KyPLU^pe;A8FFe5KxLsJMV%WL^ z(2rXIu13A0b=0-g9?N+F`oAX~o{*Squbb;ihqm96wgx46anpKbXl~wfnKlhuD_3l*5am4ER{q4wua!>1T{q@v=h*KZR z{yk)RD$ZBB=*QjAm(TvcFrOxPpTno+!Sj}r`wxm|_{MqGhld9t52|b|<$tkfpyl$i t*>8QM3%w8HtJY1kT&xK|9!#~o(DRHc$S2#~4Drhu&k?6nI(S<0{{Wnk=wko? literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/25.npy b/MP_Data/pose1/11/25.npy new file mode 100644 index 0000000000000000000000000000000000000000..41cc4a653cd1093cc8423bb79a0d959448cf38fb GIT binary patch literal 13424 zcmeI2_kT}G*#1XZT{hb4j2c#1Wkp$J5LRc`Dp5~JY!EFGHDMB>M@jUS31RiMN|X&5 z8!guAT`)?blNAJEJ(=sy_aFHF`aFI)ug`m~bIm>X+%sp+iKwnUyL9);!N#*GZa%(& zLjv5Iaku6}o4D2HZbL^0j0^A{HE48zkFVwJy!``xvv{DN_ZZ)--!XZL?`;3QJ0HM*L^rxW>h2x*&!l$Itq$7xLLX`u zH_$GZXW#$n(0zNq85D|kCp4MvUqkIO=9g6X_v(xB>Hd??T7Tt}egC>bxS#j?iN@bb zA4UJ!{=&OH;&*meOtwDS@MPSdNcWqr;fT*E+Ys&IO8=X-T^`Q%&++Any-&PrgFLHK z;R(3^(tpUWipYJ}w(A3j(Jp?dyV|z1U+8{OCFF%|R~7HQ#PxLR1Gb&3?$7OSwlbLV z(&#aCEYHu^ZM%wS3B9iRE&AaTQr=j-7(3-W?$?(n?tGqqTh2e!LZ0}QO|Naco)t^+ zwJey1_BCPe>{X=Jx@6m(A6nyn@%gj1T%B4*@!xpx#cD|(h-Mv=#TrIH#x4^ zcJ}pP^d}b7I&SZmTS}4NlHzY|JAXJ2_dC5kalaFr_SWk3+G7`S|IOe>_P2TykpzC? z4;s$~k94$Gru$`)O^?y;oq+M1106Qlc2jEoBFnkY9)tD+mnc7(A7jD)$-Tl}qjA4^bpY)qwKMJ)w;#LNcJ}pU#3^gs$|aERh zgC{;qZ<+PmX>tzttKu)w?u_4l)wY{XK38qKteF%2i_{^xMAmOs^tU^6@sP||F+7}HfDy& z30c3HdGr|V%eP=&d500GZ{EyziES6N*MqAUjc(fe#o>q;%k}Ej;Knr-+}uo#1Rv5L zT<7aZ>nu*JvYfSvCjH>0H>{6QOORhSc?t1Sr=iz_O2D6mjss^$9wSezdd`K`M^=4+ zbu8|F0@qJYjJ1Aj%TVa$*fm$|Z=R4R9Qu^O;JVJa%a*I#r)OI3ly6J^anmkXE~^jd zZ#nbX1}?n*q&x)0Mp>@&Z3X9V-Vk?_i!B$gHi4_J3t_%ZgXR&IJ3YzA6r?&(1+UGw zT#ejG{`Dt9ufl3!T*~DSaNX?$xZa%~{&Ed*`Bgd81COn`2>k}`fL?Zq0~h;`O}Cs) zj-hx8&&9mx!l}`Sr_V@m9v?-#QS5T?J;|sG8U7IYG3qzvk!8cjPQyCm@d2naUVU9D ztJe{oh!>wt^%pqb({j1JB(2Mv5#TbpXFcm9tNnxdVx!uS{`;E&@XxmmdbWVLX!Eg` zXW)EH2;&t>du7L8@CNm}ch*F!m(MRFZ~E*O_^47D z$eTXj6aJ3hXmEZ!c@FdoC%|8?D1-c~7Nex~SF?s=Uc|X!s4G!(5!RiPNcFD^`H||) zD{i*+;r{z54}X1wx-!8Nkq5DK0>$ay0`WU@7t=Zo@dww-Hey|?YV)zK&A3p?bB8Bb zk0N8gKpuQ9lYb6>taoQ;#uUWg^%b~G{t^Br^Dyl{?Nh+b&J6f7_h^ilzc@|)7k_}B z`5YN)ee?|<#3SV+_?zwl%5qt}2z+>_`iO@W5YlqK#_jL&5rWmy3f8# z9`^oQSC`tWQ{zAQsMhnK=S}{@y5rI7$iHnh)QO`5yIMVKKAZG^N71|l-GaZURFV1} zxe1)Rx7}>@;!P>aXQ^cvmngb$aY7b1FWS+#(ht&j>+AzpN0Q*rj?bfcOl&yL>Qy~M z@rd!@N-mmYx$|KKjmy&&@v8xsyewzOo|Dh5?ET@L8~oY)Da7;DgPx^d#(2#%T91b9 zz`o%W=s45*aP9)Vn49;ahy7h|bq`$s9e{qNs~7a5(q3sfyWk1EOz}jXb@G%T>tm|+ zBK?zX)bIQY6RchoECVjucLq1jO(cBsjzNA*;7M9XjqXKRAJw5LxO4jx@i0G(OZXQi zef7G?k2v#g9`u*1gR{fCkZ0AR3f2o7dzJF=Vg~eV-Tm=aFHgNB95qtCH>G-(bA!nLTq5=v)6E5XnM;wr^mB}h zKhF&=wq7HCA?FrwZ?fc~rq0X}@ZogngJFpNV|R^|3oVY<}vmgAZ%E1Kdd- zwA}jW5;>{g!^7e4JgXCGxpe&qe-T0Jh0jmKJnEBup?CUb!iP_&iT#It&&dB-I`Qc> z5sx$TCvaUp8C(UHhF(5fOa3*l(Y`eKmkG9Ck+%c!@V;~|`raLN<$SmWE|+@3M^>)C z!0J_BiTYP@@mOE-&#^N+vbfWn_AxOz7VC&b1huoA|NMdUUv|?vjcJYjRyC%5Rb2C? zI=TH^T7O>jDf(r9#6vI7yu!HT(-RbDLr(tpu1>RhaV?tkRX5`tfZnhzdVQwn(TMd}U;1eU_&9CPqF$tn%Y|mYAdFI#730a);juhve%@lvpYlAI!lA?&urT0sA_HS_cnD%G+>OJM*bF!b+ zt5K~Gr*p3ixNda~`;Ttl5dG>a)o9*3rQ!VGG#*O)(<dELY)|IdLNffULhV4c@pvHJoza9tJhFHU(dk0GbJCPUskpVom+OEK)=rOMEE<) zu9DB5Qvo&}Ubqo_c*T0~5sUY%wej$bGsuG~{T_Ae^mkui^`ciII3K$k=QqB(>?-hP zDd<->9!&Xhc^G3k+ZF`99MA|pY){xS%k|21=+(Cl#S_+a4fNHoBTlxYld-?mquN6g zvaZg&xrmc(-VT4!yeh`)#O;M%{4tl}cb$y9>Fe3&ish@RZc}$e!hca&(s!vsJa2eU z%Xwt>{&2h|xLKFf%yN@)4|@G!H|?vZv-hzEZ80ukM&E*OM3o48)qX8$UdC_Cj$gPW zSpSq6@KLFQ!DWw;;qWg}oBVa%Y<=Iw@EiCGeAMNlv=4kff&Ijc_#Iq}80cBJPi^bZ zdX0mRd0!gwi-3zb7s=;qz@5tU9;d>}_*j2gbwBB^(0d{rD9(MuX}&xQ46t0s4kez?6I_j6UD$Hv)|C8RT9FUG-#j6Ui|-49tC2&%wdd>x z(06@_d^)L1z@3sM23al^9-=zwOz$0XUasFP=M^$3{{@O-yz=#W>|^=~J&*LEA($8b z{t!K9Z>OPOx#JPIe)AaTc0D)yx!Hdb)m8ky7)>xDeCfO*i1^;Wf8oCw>q53V7-r)XuY$q()}oj%UOmmJ0eH%XbhD zn>Qa^l$bvXJ}15)&!+tu8t-3Kuzuy7_V95k^`QE1I2-2&Re|1jWXDP1I=L;*Cu%?o z8ds0~;7-auoM+5`jlubX{Is7e{t3@noyx&w{CaRbd{DT}gG$Swd?wO4M_!J`IYF#_ zLj3eV@?SRy`>k|t(748Q12++WfwM+b|EhZ$_CsgZc09k#{TRyglI<8Td)CX>=0V*p zPw}^(M(gO&D8yq5(!MQ!9)bMJg6)5{dJ*;y^?PtSxL$P_KDrW}Tf~d@h(`@ChkjYb zHRzYuYXL6L?w@IWoTb&!ujx+Tg;nW0lWiW@U3w2PeLADA*vLPpS}t46A^pv2^n7f& zd^Px*uHeG&5aQ?YEAf7((x-yU0`%R0xwKvie^n6N=~9yR&*0y&Ud&{wA5*LZ>coj1 zIMeF+)LrD?)rac5^U)dL?|XwY5e&}Pj|bOD^gb?I{EGQy+phXrz38?DdE-Mgzu+zaq~w@}C)kJeah$^q%s#6}amE9Py}8jeR__`gQ6?g7Z)s zuR5R60sftSB%j9gyx;>n;C#ZHd12mlqnT8P-F7dsJ|^i6xEz0r>SXYR;g+*?HNaJ7 zajNI*Ps79#oIo3jW(pQ@?jJuh=+bk)C}l=QqZKvxvjsqQl8CmOC43 zftw}=!TG%e%%fgH=T&F_EpS!g*eI))%l6ZFD^;O&G%Ef_%h|mJl((chsApB?PN+u~ z=DX>;5WAI==Bv{57|T`gQRtoMFVLG6tHxL^-hC#Yla(nyUwzxna;G27mwMtt`{%D8 zJrk^d<{ZQ?uHB$@#78%`TuhG#=Rd6?|7!heTOU@Gz5_U22ZB3O*R`@-7Cm^+UR6d3 z#Hr&S?XbVabIQN?dp+{6M?G7dki}V}1~gy2qbZ)!{gzqI1G|IEJ`HKUI(cATcnSJ0 zp@L56ofclQ!fA#&|;Ibf{+ga=d($9Z{eOSF54}ZbJ!P(9R(bh){pG17& zZ{W^6Upi-QrE?nZVlZE(^mgP~RmensoK-m~4~N>d_Q>*)y;}QwUs4$p^iO9|V6VbtL(pj>Edpp$(?N z=l7=M^X3@w*O`+o*AZ)pzap+y)(W>=xKJL{pqJ2_s%_?3?v(mW`f}ybugE!K8GLRH z0e4)&uy3p&z}L;xB5~(SF~GVxf~vXyqR-J;JW&JYu%M*APDb_c1TBzbE!FGrwJAf{k<24RF&Wh4#0`g>Zh*dCS2^9rOcNPgm3a z_QC_)T!{sD^5l}%ho|HKXE##GXC24;wOUz;d?vmozA-%5>h;|z;JV8K?6+*UpMyBv zPa__#YEu343}y8u-#--R`-K>n2|5#Fxf7iic@P79kbjY5FZOx1J1_hl@7h$i!;AE^ zda<}B^?UO@eAI3)tVeU&4O~v$Og!-79QglB{&M70%4e0(nI1O&d`A(F9C-=;+^00w zFIyG`ACd1R>YQEp0_?Q4jK)U*WG+etK?RZ;Smw*Xc$)JqJBEJ&txlzvW+2JP8|+ z2X(`LuH`0*^3Mwh_?wtzvl6nnx+;W}a4Q}L~ z3-H~$XqLUQH(z1Ae8O4eQ?9<4gl zTT%Rl9<8@r_#4a%o4f&eHjCFUPOv^RUEnWo?*o_rmdASGq4f86w&N`E+5M!|o6?yy zzum`E9{yN~dSiL}!AEV&hkVL|od()|+1rl9pH&9eEBgLwePp}#;O6`X_^ZUhEv??U zpALWhz9Rg2u_WxnVoGs}^YAn1MV-?V5l`kD=w-ye2Gc;@3rHg`wZ3mx%|pyl8bS zq{~Ws6*Ufln{ysmFFgI`Jj*L|CR;1JO?yt=YEoX`Dm=~F6 z7M`{{K>CSi;G+(XACqAHU0k6T zosS}KvUfGCBi3pJ`V|#kP`{0b$5fb= z`S-2|F4AXVKWG0o2ABIY$-nfnAdKrC{eLFu9}jMJB>P&fH*P@u>~?-|8JtP`>c`QD zhaGJ~@eeGntX@{BKye=Yh<(o~QgVgmEZ0H!i1|~g4n1<_R!ZWQ8yY>j&Nz4l$zF_<+ z>mwG?{?FeQ!+s^sw_0oUIXLO-n~ z;#4~?BhO;r;%M;TV&s3iA@n-R75*mu2XJ$g{yzr4k|WIOMH-!R9G*t=HKacJ<#Gx1 z!Y^BYcro5Pbgy0Dynl6y^XP^M__Q2}czDaM6wmzEICrVM+sS9ha_HsgS=h(;A(~%( zWH#zq`)mqLu<<;~554@W8P+4;ly8ycvS0Rda|wNSHSsmUMgCOib^p7lTN7{|`R8}3 zU%6!}@~;DW)BclGf#QkljCm9T_Kk)A<93K&c6@|-P_F~F*>R~(A1MD%Cs95x$00wm z4V}+r*gM*D8XY<64Q zkJ`Ey<27TpL(eB|Mx4eyHPZUC%(vj8<^wzzOaQ${s6d)Wv9<%P_n8fGo>94|4xQ@9 zF)y-s_#_*T=+z(nnmlwKmeVG5vHmiADmd%mk9b(MvkvsF&k#?|{{IGn=_A0GEC82( zy3#uOn74`LPM;5?-`y45d3~1hHt-wbgBa>l=50awe@)MQ^M#(9>hVQs<6%)($p2}5 z#3MTPz`iQ3(Dwm-=m9wQ7#d>xRqM_|Z`c>)pMCWc`W2o-F)ya^BE(}-E5=woFP9%& zU!?ae{#z@&&+3cx9YFVWg%3YdXp7a0!3QXwy!YUvDo*jYT%V?MIGaKLZ&>O6p$S=B zexD0^r$=top(&WM96YEz#d)_jxIQw2_LK4dVt%z-G(CSs`L$NB`ah$3m~{jDn=`Bg z&Y9eo_Aw`E7Pwx0cC?L$7Y(6)y~lv7?(sq3bK=0cAHCeuvHO6zXU zRm`Ik6h!($G2n80B|I;51$vKAP3KVkclDZTeZ&jOr|}y^Jg_h7**v?4{Fq`5h*v2# z-s)w&sfbf;bVHo#MbKXO6f1*%^}aqdFTHo+{ZW5&4L;&jF!bg_)u@ClA9IS%Gp4Q! z^eWF=%!~Q&ZJXZ(WKl{>mJY8oD zxYHz!=Dp1kil_ThaNTS$orgW|fIA!LyP}hR3G>L)j#E74AJTk{NJpKpeeuLy{{vUP z*E`#I)HscJSd%v3`g%R=lTOGrinDcj;#1?mvu^pnfBy?JAlP?jJhH}ZGQLG!h(1l` z+5hh?z1;q`oEIPYz+RnlD?@Bu>GZCr>~E1!?LK(=(NN2scRwGuzt!?p_v}>;dJ_)* z{rW`vTllpA7uyTsJmdUT3!Hg>BK^w#KDd8iV{NadwHNX0)y7&M)!ii??SE#{^X0`f ze8+HVc^|M`w9w!@;d-Rio0eyeS}qeWB2M9ZssrvXbLp_X@;3DUE9KZ8@E3j$4_a<~ zen-D%WDcxf{%%j4<>KQYa8U;nI literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/26.npy b/MP_Data/pose1/11/26.npy new file mode 100644 index 0000000000000000000000000000000000000000..7122d8e82e9f802568e0806f2e572fdc8b02ffd2 GIT binary patch literal 13424 zcmeI2_kT}G^#4a&eYIU}m8)j0zH4=x!RnpW+eGvhM2QlHNR;SZNQ@q=5}iec#p)JO zR-Nd55vzw!&gPtSlMLx=bc>>4nndk^Au{rU&?NaBIL{RZ_&y8pg>#fm?cDpAS{_WpnW zWe`H>8vXD3CSAp)$5-fTr})OlCS7IRmw)Nrd!F_lUG+C3F40wNFYTyZ4dHf`;E#5- zcOKg1xl(AC$?bCUpJ?~C??byTyMO8xsGYL_j2pVGanF7PF#juM*r$f!b@tmqt@d& zTeaW|JojqU8@j5YKmJ4QveZrF%^v@3(SG^`?)AF5uc_U1()|1%>G}G$3!ayQgOER$ zGZ*GX&aQTZp11XS#M4zim3ZDhn}z4(Eq@;O;|KpyyV`Z{GW;u4dO-JHVok(v&bC7T zW>4@dYWF7a^Qz*Shom!=VtM@azKN!GvAFb1;zG-+RfD>zZ2Jwuldkb-iqTmm%5ZP>0V6Oe2uut z{&m7HNmsexES@(v|4S*8?p4PeSch&`BQ|2_A$Pdz|D%)(};Uhe`o(Xf#CY< zcNmwgycyh^br9T&=d(!fPBGUXa^Cc%{G2;BTQb|Gc?arhq~dG23)3l*X6s6&`)Z_b@25> za9ia~ZQ}NEE^u2r99&E|S{Bc>JI(Wzy(a7DZWsbyc|H4=VJ_BGZcAJhtq5+;q~>{l z6x5siO|JpqqG~E|Z|C$*;2l$fYu}>a?!p8`T>faaF$Zz_f8xAV%nH3rT!!@~BYB;hLdC(=*iSRj@A!P&?~{7qvg+2!#JvhT*=K)l zURQZea~?Vj=Xg5Q=5^~ExZ7K zuTVeickku-(dakk8Mw&O2>!0&Le9fpo)??(1N^lajq$35r+6NpR)yaFce*FWwZtEB z%Ir_!ZwIwE#7*67@K>KIA|9K4m?kd%J^&vxa5(b|-v<(x(fPn-iR~ABlkW9^`Sa?sVibj)O zG{}YcRrF$BC$7(I@)t$w@VFxPfqNAef-B#X=+~T>2_KVZ-cZu(h{>h=2A}3_pqFJgAx>Ae z&Ir=G-FeujNMms6vvv+~l`nwvllmz3g_w1GE_^;!2G^56fqVDbVO;8HX4dyAi~NXA zufj=h3l(F&d>gN;6JMd;syCMrr|Lc#dRe{(_JzCjFX!RTEat_FBR}T(U2vPeKl24A zN0Gm{S`q%@bZhvVG2J4F>jQ;3&iJaVZ`K$2bU7M=djUS+cJI2Wq&E|IKdJ+{z|E%q zc<<;Oz1ip3VeDUbGBw_VA~(NJReT|EIe!JlCGHP}UT!)9AJ?KY^5cF;_Wvb_qe~+?EmRk*1J;ZSG_F2aRw^Z-)fBby*;_X)x4qLqVEaR8Fl|_a2vRcdD$lzm+O;; zeVSheS83Bv!MxNygnW80I`RBQt%i@xf1K;^(-7VlcSmmYP0Eiwx)eUbKZd!fypVj< z`IO+gKtK4~b}h#fm!CiIJhmPI?)A7g0s36+p*I^7;Uj)a&-G`~XXth8f8ci6lS!m^ ze>P)%#7*wk=L4^|Wn3T3m5ZoLdRaNFAF;auk84PKu5aUfhQp`hRdCm*E_~FjSID#J zI}YpLgzv-ta(TX<=$q89Ili+?H zbD=%r*B7!P|0+HO@@6^*VSkBb1>s|IpGLptP3#Qvk@;tHJRP?)|Lsfwac`#sm%%rA zzCNvP97}w9L-ec5uVudHemCMSY%aKoXa+8`?En`=kAr)I-y%*Ca}nnmomnDIuTMU3 zHRuo2AG5In_q(kqub&w^aDEW&dUE{TIS;Pa^%{d-d+BWcaej4-cjor(6 z>-h}x;-wuw8a{t~#rc1?4E=g>XRz<=+xzI(_57Om@0KX;H;nhSYkZOC_m5LU$j99L z2|lJs1^9^Cp^+4i*~RaDdE*V&w=N&2lU^=7#Ch}Ig7cdh^mZ|E{qP?8wX+rCH}#G# zCvM}1L2q~d1Rr}-Eg&uiC$N5F7sMmad{_eh=|}ZOdNJdDspP;c>O< z1}?g`3MIXa`vF{KDFZH3*PKn<OE45}Ty=?gYZe z`zt5n_pXm`Mm{3*QXX&H_sFxZSGzlL^Ku8cIC~%5zWEmWUFYY0;f05RyXXtp7kVY{ zJFiGza8a##XZY;x0U!CXHv0^Gla07qTA6vNn&2ko>FTi*&$A5RrXK%3rNe^DlivRD zoY&QR{@qDGwOzoU?csG2SO7lq=+!mg4L-6yT^5YjRtrNNbAFMWpDNukFS$CJ$r zg#R>wenp29Jl>t@uzyXf`W$EZ=2-tO)i9hN^xInCHfT7w8d09lC$(#UdojFUOsAzd z&zLKf*yqJp7?*fc9pB?#v%h{9v5?3f{R~nf?JQz173FiJwc~E!TWd9N{rVn*nshRfzP{B9=zrJy=GsJ!@5%a z+HgF7^ZHQ@`y>BmLgkjwe}9VO{15_e&E_7&U82Ca+}{m3p5Z@ozXc-Eug+JU`Q0gD z@Tpf6dYRzI{%MYnicRt{L45wP*BfA6IlmQSiR-hIpcmar@OyCRfF;C5l_uccl6@S1 z*RlA%v%`a#cbf_Bg%+DndNnQs`xMWE`stmWh5e$}^7_#obMX31Q8o#bG!J8Ov#^vXX0dh_}781ix7j{z687V|vj+@*=@bcx8bnv)6dLHjaeKjJp99>-ZT zKgQ(_hGTxsUwj^O8^$6Ja$QE86Xb%L9Oo}j5s#=f+25CZR?h}Et48y9H#f3f@l&L=vc1LAS7Cn6pbF@F~Mn3n&6d%@RuJ(sB8m$)cgf_au4%)|eTLci_X zaXi=A$4yx|iuzSEQ}etm3CDUcUyAZR{hPnD%p-}siOT1(PRvGLpC&4Z^Zy|$uZMK} z{t_+Da30d-H01B%`Fv%LeZEL>xFG}DfzKF@c*OmK;IjAILB#E`lHh9MesDb`0adK^NDvj5qei*@F3zQ@H6|o^pGFx3O2>_BY3{_hD_kf>rf{)N$(a-;d$(H89w%6 za8=@J;~$*=U_QUO3JE32$4h;S$NNKP=w$g{i3bz8Si$@BGkM=i>O$&m&As$U*(Z&W?36EXWb&x_w~u6s+T4IsVOB$j#2 zMa;)n!oIMPF&yXJYRHc)~bq((laU*r4G z2YLMc_3G|=x|hK}!AG4gj5y8pOyh~0)IGpO73N;EaUsy}mJQ&ES(b)Ucu#63|G-2S-(-23ni*Q?ya*}uYa-lv^YRVKY1<}feb z_F7yIKb4#lo5a@S3wV>;NNXFeB`DCtaEi~ zLJ!iL^Kszfbymb_8eGIWmud6CU#`rG?+)AX+f}6Z0(c*pVj;Y)e4mXZf73Jr`IS{Nks0qtb!k8!_&jU~F3Y6>w->k6C+>}W0pY6QJ8UxCY`*HHINXaUa8hg_WJy!97CuPZSZQRr7xjavc#7B?~PBKr!? zXZ!Hku{7Sd8R4%U?qL2U1@h@?lmQpj{swpX{WR&-h4<{UpU(r{hb~xe-l8@~rEN z;_=LtAd1H{Wxe%(39eID#(7?RJk4+b-~4C{+&mUCI1e5wIJ$}w~XtvetQ?^ zTXXI}Ao+Mt$6`IWQ(;^maunN6<2L=v!e2h&`LZUzKj~$ws^F$MpC@&jLVbv? z19#U4@V+SbT_F53{>DDrUU8lyiuu7m;sVDnw?nV9^&C%JG~{vFPG8WkQIn7#J(=r| zeLfQVS|3Z-9sUbtSC704z4LvDdTR&0 zgpbUg696{c^`XA;KH+6b)eK`0CdRw;B za`G|JIl*P>H{kl>NBEnO*WhEaSHXOV?J4j(kEk(*`HC{&?(7)UbGfbpxcdB_<5?Ox z4F1Ih$CI!Z-1U3XgSdRU9PxV{GJ=Z{H&Ivh*1m|xTkYn|a zVi9~!?P8y3{=0*{@^@4$>5K9?%9cEgIJH=h{CHc3!^gZlfPBiu{kM^i>i7@mKaT%i zY;u)pL)=T?b!aDl;&@a?)Oma3GR9@E_hz3w(et5i$?rQ;&L4XDPp!EWk1IHu^L#ZO z_Ng28Wh?33gD2?MT!@B`^Z6zWKGp9tADa^V>(CiI-W&=(dSu7niQ986I3866>tE$HD~X%5$^U<=`8?!VXD$;B{qzAm zj~_BQ+*dCdKvx;Q8F7mH{GDRtP_EmFKePTzS&l#DcWq*m^e(U!$MfhE#w#{n!+T29 z=Q^N!ZvpovHOBi_)=B>VZkvxWPq87C`W0nb!QZv7iTJ(Kl{%8YE#3$I;^*Y|)V0xA zKknO{98cvC#4r3d4j><^BEiL#Y&@=SGt48dA72Dl+vne+d(|T^@@&Jaus*{{j%UeS zob!d__mtNB|L(k3StrtSV%IyKN8jzxyB7t+h|2?2InL?lk!Nvm=rZWDvyVFW6ZA%S z@OQP6`wdCS{SMDKf%G;#e|MO>e4h6PRYSk3`fS8$V^gqR&Bb?zyZJk~_g^t^6|!bJ z;yK?N@u(y9cz?ymO#~}aS4-HU%ytDj1wVN7Y zzO?E-n0#Ed+KAtV-o|>coxAXNM~=71ziK!V@rz;mkssZi&*v_I{~lyxhvGdh{#58! z&uI>Sl^7UG`4Kaxz~4PMgmKAQrQvV=6XEaG$<6y{*7XS#kIb2TUQJaETn^|S3jQ<; zk2iD}xXB!ex~Hz>;_?1*7+imJ(7Tvo%$u}CeoViKI6t^zydGqkM4WT%s5-sKUxe3Z z|5Y!*y=*JH6SuSYoTgr00oS=obtA6MheB^Fbq9AX3uN^reYJ8t-gkfVJl?%Ho4A+J zV!Yz2AL_OqlxHmYcmYS5zif^?yJ~HRkzQQ5&H2f~f5)-AhKwh!x0mE``94O!;=(UD zhnP>iFXV<+9OwJ<5$HGPD)_jVmb`AK@b5@cCZ8uqKj8e_7>Dt?v+JR^)7B$SoBPxp zic@BK4Xz&D<@Z;nV>tJUmpqRmx(?Qx_;3&7QuBHJ%eMS?d3ET=kra=))*kVz*29q> zb>?m(@;8k}gX_-y5RV%_Q;}X|KgRmJ&7l_$eftx)KZk>RZ?p1y!L6=LT)lV=ZqGMi z{`@TRCbE13E>FyK&pVl^F-F`~~W;h~V>*-Mbmwn=u9FPt)KN>#NS!jCtDvcwgv!<=Lm= zBycfp#8~*`PR?gM{|+hgcEx(u!)_sOqF8zEw_U#Bq}O?Q9%cGMh|_%OwjKNopZ}dt zN6d?f>5qM6nq7pC={XL17nNdeY?6_5A(i znbP1kZbk%gm6g9+b*<$8S9vKj>ZkoF`S*wSLph#*55nK2*$;nJmH!`?m#aF?C%V*i za9d#y*OR7KF^}fNpB#@bpTkvtF~m2iU%7oR^C_R9*Y}n-rg+@(eaN$`Uklv6FO51W zw_N~Nt@1N(v;{ork^lSmzc2$%#+{^fWS{ZhVf6MI6Y>AS|0!~exQbU;Uoz$^>?3<< z;-AFb^5WpC@nzIESMYc&e0FWRLszfA!~U|7!FzGvrWCj-dUt+oQo9K%dyu#amAC0C zb8fCoR}+(SAFeYS#naUu%04!hu74%&qI>xp|NjJ2_DAkF;UxCGTUr?BB71Hv_L16o z3;v?IfsaYJ-;ADjCl>9et2cZl^dhXyF!DF;4(=f?`h5ege!YY7ddJO9@HLI`UQFwt`?Ek31_}KpeDUJ5+ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/27.npy b/MP_Data/pose1/11/27.npy new file mode 100644 index 0000000000000000000000000000000000000000..97cd49ffe0fbd0b436b54facdb30e3530c61f690 GIT binary patch literal 13424 zcmeI3_kT~x7yl=sm#E9yMaIY4V3m!|W@T7?wdhvKM2Suk2@-8|5+#D@F-ov{iMmz> ztFx<%K6+W5Xt8`Vuam#v`|J1Xm;1QSIrlYZ&YU?j_vUSOi+0Uhb@E_C*$AJWy@vD% z^Qp~!{DN!xl;=LdgTunZf(8W+4(r*=@rFSIhV)A3L;3`T^h&=k<6FIY^#tlG?@7{%E&j zW~1FsX@GV+jN0WN$I&kQ|3JH`LG3J@+U>Y)cbqQ2*aPi)ZTp+hpPiv!+!yWk_Aq*W zL@Tswo$>t8eYf57>gzdZ7suM5-K?T^{-E1^*UtE0j8Dh4`p4<(4FCAI`S83w*cI)z z-;w>UT`i~QS*iN)UrlLo&FN^LsB5mBAE$PcFbDprs35e#E`LURS)Keh(SA7@?RxFOXxA3NyF_^E5>)9*ZUSN3$+U#{Io7klFF z_3N$Y-BmT|2|Kf<{#Qn7hStv`3&Qh0UwUz`G^kaU%W5> z%C#%cO?ZxPEb+p%>pGL(;_78DyLMi?1D@yk+8=P-9>{`wvugGmw09Vf=Z*Jg_#x^B z<9X(h`MPVD(W@zM9)=ut&x_Gjth?&OL3o~d&B61sdM7+@cRx#Y?Q(xW3ZCD29P=u_ z-%kEF2)gCk%@1qgzgRb$`p>)mq2so5GRCiK-&^aRx3f-6b6odHq<+m=YOio^z2o9( zj=Ap2>zBs!+HCv}d|%bg$?4qW=~%_x%LWN}-bSB9yVj$(InGW+`@r7!>H~M>0S_~Y z^sBgA33++GXpvl!v4KI)mrOUO=4q>TfgS`6=t-lhYqFlTx3e|EXIkZXcVWoy}jf z$F=KuIUcxnJ$EJYf^F;zT|KDF9M>*-BoP0h#uev}sTj5l{7F2xeRL08jocmQxJ{<~ z;-7xSI+NWBEOcDHUr6>|^Da9byDnlm>|f0U=YO1_b=ly92Jbc)oSk@l(b=2R7iKta zf-L1@rp%Wd=Ogxpx~u3MME2!ZUH~_RCOUiGxhuFBmU7;4`Qpwb$MuV!!ELe0XB=ml zdUl0U!$r`cU;XO9r=?VIB%0U z&2eLXhrP-jN%oUp(zqtACw-5j;Kt*Atg{y#H;{g#5;y$Q@7dxfGok;Hbj0Uf#HY6y z5B-))V6SV$U|twYS_=EkeTYw(3(oyU%yV3pOQF1|{|fOj@sqW`U*`aq?RR!@T*rQfzV)v__8odi$Ccj|;xBtr{^V?I zU7o8ci@?Rq6XfTY@grTocJgiLtAGzwr&aA?PR9%;|3%(g&=I!paA&W|okiT#{_W&{ z+%?3FXKDj|c|Q_d=HD_E`X|DnZ)%jF^^#CaIeqr97v_cE?}NOO3FENtS z&l81wliz*^Zj0`Ly%_5i2S1B^fIe$lkn-y0cI2A~60p~c%aBf3e&m&kEJ`};SK_(O zO>sIZl=f*=!5ewSqs|}>y3-KyXSYB6mlcMh4#;8|dG%y9*0o9;MC*FzD8zx!eT(&I zhPA5iZTT2nBsGP;c^QW|@P?MgRpBG_+2C-DS5}~T(W~l_ zKX2CrJ00CklAk;2oMV&PYsc-9+|V&I{Na!8F;Su4{(ES?gaYS1sta@UV07e3lxI?diQ)9SH0j_PM_zi2X3?f0WK=XgNs^6p)cysg^uoWG~C(St2c<3 z9!>LGr%06Jdd3{|tDcpB|I)(`>qzZ;0DB%74}HGV1Ntg;C^#$nGwhY8C&p{%(R!54 z_MmQvW1*9rzDUjndsU{;S^xBVIr(e=uGu?LJb&s9dwH>=a@-d7hrR6>fH>PXS0bR( zp*8H;{oUwSSUJqu>lpB?cO|BvNRhk1*P zdh#%Y^mn9D{8v|jK0DBc=CMWBh0afY%^TcguLFDa?-az7Dk35O>YsDGN7w<&-spwx8TpXN(ahdm_WN%JF$9&rs@sZ_8-`1l1 zVU;#u-{H-}Vb24b!k+gkL;V&mMmo29f$N#g$p4hDz{TJwaMAcE>WsdYi|lVEg0rl* zF)lMW6S(xeLHfDaR5xB(JsEKp-%89QE4>Lia@rBpVNog$@zmKzZ}3mIXV({yj@dvw zqSid8!}2rgw;#<5>)&N8;_3Y!`sTz)^lO8kjdR?-YzKS&Aq_gFS$5PPt~mcw`>)?4o_5?q*y|OSQTKR6apaG_&=6eS?}qv&(sB=VIz00waQ<~8 z=%^L<5N941MeAbgajY+usrUr{bbFDq3tR+k#X2&R&((EYj(G#l!}nv|>DEc8x8@z? zC!5*_`M`I)Qm$Y9-(B=8{Ex!kmd%a$vulR@sa6j9Y*lX9vm#XYRKKlsj@p|T>~!So z`{d`swW z)Ny{|4eZsyPq1gJT4EkqWFEv{u3(6p?HYphB@1QL+XpG=SLzEhoQ~)}1Nw&Tqj}kv zEyQti>pD1#zE8a1qhFKLxt`ky{fd?w$p7eF-NA>(5)W<*&eqNcXP*wyxN4=rPt$ZK z&NC+54}P-6#lgkMq!_2eqAH_by`vKR=fjWC`Qd4I@@GE9K`r+f;r!HF$3sVyn@;)G z{RGZ?CO6f8(=Z$Iioc0OU9wNsVZE5TbZ#+Q{#@sD)Uapp(_CFd{$vU7>->>L{{~kz zIzV4|hts@I+zEf=u6LLhRXGm+$hMyFM>kqZ=Yda$vF`Ykd+1kR{Fcrwzb!|~8!xJdg0T)z0Y!0GS{ zchE1NF%bUi`X`n-Zo7w*|8@M4|GH_fc*jM(7ZjiE1KFpOyjV zhrhIQTyLcMU`JFW`uSn3RcI~z z=P?)ZfiD_I{VwfI<0=_8(Q$U5EI1!Y@9XAPvssRd|C-ahWd4Tgz~@(}C$`E)a9Nz* zv&A9ujhS3bnLVB=`rsa&C?Gtj@Q)3H;!lTKhWaNf6Se#d2SHE{KNQ*iUgO~2%HF3!=p z#fA+8SBD2ycJ{o|zv!2>P5`%EUw4Dfiyg=l*|H+I?tNpG<7&`*vTsFo%zoHHb?jSu z|79z>)4W6^(7urADaEJtV{lvTB+eoBa6!aVwH`@zpzq8S0WDbD|1#CTc3Jjt)?^oM+hMs^B8ji^esv6yC>eU^X&v?u$X@4-zKIuEGd-_g1B$OWuly>1!eEW0Mr{5H$g z%Z*o5r1v#>bS&zC$sGWHr*ewh-}D|W4xNs2aWES`K}UuJP`!QC7V{`aPoQ{K_rbiI z7JU{ud$p?xxb3+Y{@eeC;r&i$jRM!cGr;wH@43!imdpmu!iu7PvIUc9y=0;M;a^eS zn%Iws0~U?OhvuC3cDLzvk zV%@QPdyxNpAH5f|s1LB0Su^83i)E+vC98gby;=Bjq|?z&B1ymH63nB}+ZFi!kC!##^`~t&5o7FfJ2#A3ApC7{oy)rXkPSVtQ{fJeBD+)FhqM6NrP>1+>#w?+%guWKXI;H)nNpoQH&gv(iT|IRC6? z)=>Bp<3n5=0v8|hM1UWsB7d~_P=7by!a`@Cr3xE)^~e(J>q!G%~+ zKiTOdOad1LucKdie?TqA?V4T0i!K2-0XZr{|Hf6)`6h_$V@lO?oPEyNzf4K^saovY z0Q=_@e-V&K`TzXjET^xMDo}o|Uq*h`sf2TmC`Ru)Cbl}||A+4|FKlyf*sE={f7v1J zmpC0>swueXl=1!>?E|jr(Yc+?Jx4kXm!l4|_%PUu{FA|@m&a14qfgR%sQS1DT&?>V z=S)@UJjLPi9pr=PxrX8#M|InzWTE+*y%%wi3G^PS8WaOpjhlo(Kk+i=#cn=8_4D;| z?2poOFY&?4!DX*dtP3@a&OfSVEyPD1{As?^vG;b|^LOLUOMlnWlmDLO?rqWm8rOgk z@SoSsjCkt1jqba4omK+xUt-DaweDWl_z^m05{IAchzI4{ks#vjyutaR@bTzxLM*uS z%S+>G8af5KiATY0)+G4PLhi;vzerYac8k8Ni`-q6q2g*Fvf8cR|TB! zq;;fnq(*@^hzHkR2Vu`Q7oF(1ji5N#(8u8FMzt8n)%aA{v!4pnxN5eFcU-=Z;Ogo) z)G@W`NG0&_L*VvI8~87RYRrNDtO&%7<=ap5@}~bf$91?5IM2QXTs_Q=dS#XjA^jN% z$bUBSZB6Jrzeai6qaNy*j{7MtIbBEmdk&oCzen}$(HF|kqJ>E(DdYR?#U-e3(yJEn z>#Ip;qPKE7d}SJRw8ukmHlhN)WAMap$o@_$IIp&Eq_Z~zBEWg`*{HWHAvnw{%{`a!c4uJ0DI5r z(Ba}4^4!#K)eH8Kr@_t8oRlXy4-+iVD`5U-6oOH(N%1#3& zyDP8unRuDwh^KnBX};s^Ohe+Uvl3r&7jK_50!s&5QRaOOfJfzd_IsDN_b4J3S6VG6;0$-D#9F6ZE~#u4z-8_? zs3$sGQ5x^SufR>_vBTm2$dcevl_s6cexn?hr7MD~n2f&%^@xI>Y%SF>S#lKYb*Wsa zOZIR#*z@UkalW;s{vCpGO&x`N5ZA|3eW=Nk{M~q8{Q!F*^OK)lYxICWH>!i%M@7ib zUz+rFoS#2~IPgs=m>1KkK&<1sIn`U1mT^8&zBr%jkC$MtZY7buCw;fKEozYd%}A<0 z*+YMG{^(QDav~m+dsvAXX?ezbeuh^h3gj5Td~k_ zo$X)f+Y`58um8M)dTSOwg^q5M6P)jSGuzqA(Ny`{VZEauxGMe%T*SP9zL}Fk{@<;J`C{2#4F_R;lpUnF|j7taaCcg1(FUR?i1aNjNC%E38g1X8^_JKcqoGI99NmPLr2vZgM8ENPA4R%bM`y!J9^cA_$dR{QGC`6q4C+M(&L4d$isHXG3)ZR5`*AD!jitJzdas5*;(nG%;8AzTpJDXfSOnK!=yXhQ z3Fz3;`B1OS;j&AdJ^!Z&xG8ZATxV^(5;|-;xO&nV{)=M)>m8TL0pPNI4dlO#T(rV* zR;?X4|2r0OHZf(^IIhbK!npJoFYE5b=6!?RmG7nBOXz~j5r6T01nRb3Nc*E1UxDT^ zE^GT__gwB)3t<{5N&NLBQ!W9eLH zJAMY&U#4RHs_MT(NAD;J9noj;bo86E7yMzV4PY;GS)9A%ft3`Wx3RD{^+utNshm~8 zP1h;NXVr4?*yMD7bO5b8@k=elUwNIyd5k4pMI3Zt`tEAuy<(lcJa-2=eE4G7x7;uzB7v|#lhv|7L$!`dftsC&H4SLoN&I1YP}cntO?trWQK-2w4o z+bYocp)=)!>Yj0qdNjMY)3-Z`oep z`qYig{^|CnAnj9p)hUdZFF8BQaej*4Blu}aajRQsw9`>%={?#kXoWb-ZGI8XUNyW) z@p;vS;y*%SU(=s_(65^D6#d$m2{?y{q*{nGFBd?5`kq?obVQJbjwqP%zS;Lbns+}s zXNubYB0fCJQ992|Sq*!;X$|~jK1bu6pEm3zxJZrG- z>=NZT`*;TS>gi3%!k+y_-xKWiCySjuTTJ@q z)K%0s^*%qHGb>c4c=D-K_j=96zNT6aB|onZ1{Vty@|g#2BECEloQ1rm_$b;h#Dw3; zzF-v2pX%Uy*vlVdkpHUo*!eDQ_W5MQ$L7zD@ya4UVqeyUZ;(HAJ0ox9jp1?5Uj0M; z%7(GvCgo4equoOLvg*7ToOjHR{X#6K_Xz#nL~wm6a5VaTN9Qq7w+q?VZi;-i{?{n~ zJ%0q3jj|4P_WYlr@KfwA0Y6#Yz$C{_5}p4|S^9f4ZyZ7Ik6q7F{5y>#`}|+9?!+@X z&&VuZm@hTrz>?&29r?eE?<6LO*2S}HiyT+4EOf+zGBm$Cr!REeJfinj;Wv$RE*3!j zRAE$qbdM0yxnrO&I_`mv{DppRDew5*cabNi z%}(O^Kf~VK`PdBpl--T_GQ)lbm#2MDC)NFbXdVX_0oV7|fTs`P|Nr}cFaq{wvy=Ym z;}(T8{=OQqV~YD7EL$IR%yGHs(H(cS?*Vx%6}a#(*afQF z?rKIoU+K6FpK;LLvw-EdaDA|UjpOWNdvH~=6mj1(IOp)ZOO3NLqqAZk;dP(QclI)7 z^`GGXCeeP8`|&cz#p#oK99Okgqt2WCo~yvG1;HQDAddE<^}kPWToyXF-`VR-iO|s{ zJI;pvhX0{o-m3%Y49SIc%3jYzziboz?%kwjS`Pb(#|}9iR!zfi-ApN8BKwr%$h4HGto)Hdgmv~rEQkgqO(>8i`8}o$?7{w!fKJ|BrypQAxI?HgfKeMB3M!H z!D_o&h~7pER$0BQk|%SV`3s)6&*RPgxxaH<$DDJ{Ipw+~_9ySI-FoL>6WCPuA--b= z2fDX#+*|rJbFb~V`}qfs3miE5SO35vzLvKiIC89S79Tro;27Vm@85VdY0{u}&Du_| z^MCuV0AtK46?D%t>r>{vb=iLEc_Fu5mS4{N*M8^cir>fQmC+aNCwtP<*mfRD?egC- zXg5RVqFr3#HgaKs$dt;+FMS@zm~A^*}ot zGZyW-xF6d2n(XHb9=Kzlcf#hQU4{LIcC(S%)#1SzXzw%<<5Sb(&scvwE&KT^Me)4+ z`WLjzzLAH}zK+`2olZ3VuYS62eOSeJ*KNCVD*O4dizvRE1JJH3mbhly*)eM8%M1O3 z=L!kr*(|Ai*tYBIUnsv@irup9PGc9fua$AOUHa1VDs<^n+s>;zd}cqz`Kk2$*fLM- zclKsvI@$;OK&SG*xa6|ByHU`yB7x{fMZ9@!bz1peulK4y8 zu1{>obNXPV=eFIvnf2Cw>f7b6puN+x+x9z;pLqoB7vCBCDNgTvZQEJqOzQXLe~3d4 z_rvq*nlJLl8+S!sb$HYX`Yw(Cmq7$1K=9`nkQ zPoK10yqk{xP0JL-FFq`y{$r0lwCy~>h4HJ=Nl7l-U&Z`$EO*k@P~7Gm+Ij2WH(73O zUynt*e{(!*kI;^4nF1oM7^K$G3wCnq4wnO*vzPtU@jTrU6@o`R` z^_@K{h&oZlAHQgo^;NHaisyBDW=@{BwzI=Q z_iZ~L^bF6lVbjshT?gRr9GaD8+g0p)%n0%JBv8JJ181 zP4L1x<6~k7+?~>)L>!z{xQw|ycy^dOc0pAORhFiU8)rWjeTu-;$B>P2Ju5Yyf=fBQOvz+%l zFDzG$R+GNfA>@JkuZgvsRaynEJADS1>!-$mk5!}(FOB(>_`K5`oI?@rINT;xb1Uf~S5@=S{cf050jYhc~5eS44x{gQn6ZWp+m`z#FoE{&%+ z3opXF=w;WJqu(aJ;B4e_;vo@>q4&Owx-glqksn#$vGUA{hkrX6`-JeBggo;vWvxRZA=@yxh(@L79|=BwS$#Q#1y&T`#gHS{X#N8(S;_OaYq zU6=fKm&Cj~bzl2hfA!uMT=Xsm&fcBvWx34xk^Jj60vExleJp2b7m0h10GDqQA%&`tQM*7nLvub;Zh0!n%{y{AnKR6-7O;D*mW9 z9#|EeyB{Wf>SJ)H+-KWj6@yPfT z_{iP0P*xB5_=?JV-8A0)Lz76Y|JqyLUR(uNbpm%-3dSrf`yV^X6 zzfMt}`v+pZi*K7vwf@eX3~;@(C;UzO0OY|begoX8lMCF*?6$z_S+&1tUW!mWX1Dhs z@S^=NE>-vi{7nu&Wx42-pT?E91L9HD^GVB1oj)kfK@k+^F&$vJoLYwFvBJ^wo>|{{ zeDg*2Q(S&S@k~!3eZLwrtlk+&_XB;v19if5Qg`TYheOZYHz3dE>P7hLYSrM+r=)sCJ?PbH1%DQI75fi669~@J+d|KJotbX+rZcTaIap)g zFb#g337?0#pqGB7&v|C)REY&W?Wa@J2mP{=BcPWJe+jkR+-LzktJ4#CW)1wX?&Q#) zq1Q`X)UUI4vek=mrNCucf8yi%#DX9C4fzr6&d|E(dpg!-`>)uD@_8vA<)>kX81Q9Z zfvZa`!JY7(b1diYE0I2aALY4^p>yYOdUk%|q1PS#u`blT$28uLig>3Z*oW1=+cd8A zQ_25Eu_^F3_292d44^y@_DQhZX;vAW^BdEleu^%MzU*R1%Pnww>=N!zV_|zTosJD4=Ut{@mV*e4PKR|C%Gie@s$46Kn zwY($rA|nIb$@zxz>GwPIx+uMWndbFTKdc#@r!vr&?nS${kF!3yL3X{h?FJvdXD;TK ziHWo>cAmug(#aV!?08L)o!}zpAGBZXY|zDWr@?b@R`EF2onDfJI#egAKAq4&)PvJ< z81kUX5!dBTL9hIqMcR1yoqd#_2j9Y9oN53)_gV-p|4hL>iY=-<6!Dk4hknh4={N@s z+vaEE;VJ#W)$KmmpPe%s5x;uif{#88(o8(k*?t2(q#ec!L^y{dhRxk23zi0a~ zbsTV3=r;Br-Juc18P}NNAKq(@)j1&o+&M{kFn{z3wp?7F1|N28G4$e>e{kPp^RH2U zoWgW2FRG7yoAum^^`c`_DbMHHY_dLbE$w6Kz%p>vbn`G*7FW0bh7Wfa@RzPU5 zIB!&@ljX+a7P!_&uwTiLXP6gpu>V)yif^O&W{Z5WxmyKu1CUE1i9{Q|%OMUnxj-vRZ zD${s#hxD|ZouPfhxy``!(N5SO*qW`-^X>HBCo(<-z{j&5#>KZU#=Nkao>&*+a1`{W zZXnIqqZI=BxB(RZg0A3B_)kqNm)~dq&QzugxahE>qAQE@2)eiMjsB!B>cabrlluY9 zSG^VBW~JL;>!Z_BQ75uJ-S_wrpLLcyf4zoY_jjXt+}dpf`i)+U{D|TsFfVHL209n2 z(7I!5Ux7QZ6L6l2o^%h?>t|BkzS z->Mv!z*Wp3aFHazWl%ggi^>VEN^+cEa_}mupRe~)Jq-GOxE-%}TpID{Ycpsa?eq$_ z@u+J5z{hc;-%Uk6*~9ADq$A*B?;OmF2+TFqa_7Wn;tP9IoTr{h_$*IEzp`)_a9*<5 zEcgUgM8DiM6h17snPT;TbBxbwd2Ld(VDT;S?+3PO2N7gTZ_JEEnJYfcRO?8mNE0 zatrEBr`)ADug|1BdG6Yz_o4R==ggnWE!WMx;V-&p z`+QS%vh~;1>Auak#n8RT_ch%oSI~QwGpHl-Y(5=bV)f>J_Px4w7`Suq73xF`q4zkw z=mPQ}_q!>pm(hpNuZqr(`ZTURK9;MkqiMW#&s^}#`tG#!8Uy``YQ#UE1lJAojkDZ2 ze;ea+%Ki(ky2gyOoQ+B*&Kkp?Px#c#a+MxQ{M>h_TXpYdm}eH39WLNpP`gSXPSN-_ z?N?p*LoX{AqC6~HiF+pN_W_*WuS5Kfmyh*vinc+Va&B30=HDLks6I`n`0E+!H>hD1 z#F?>^`2OYKJfL+8>%)s*0XM@3gNrjO+k<=WMV!2F4aBL-cgA}YyZ9gUdfQf-mwsz; zPVv_@QJ+rCI>e)9HC|-<6_-1J%jX<=?p_D;;@qU)g+vCOUp#(fqSY&RdY@&9{h=4N z8iI>)^gifpxIz5PDEuz!>>Le$HZcZV-F91UeH@8Rm_h(=#dxbeBYHHJ|?vixO3xM)QQ@10rO%C9HqLtxo3>cn>v^Z&d#j^ z7Yj#>wpSDYVg8z!E zs0Xp9Blbgcy!QfEmR|2oqk7x-l(^5gxIeIhrQjpB(eJlrWKO)tiONmE&7NfF<^-gAN<*s1j>KjbIH(G%1QB5%Kp8sSy{}l?0=o| zJc{1Cd4GX=FaiCcm)G2AzWnz1Ss%8l9k`fY0$ep{_`T)wtB0fyUWGj9-!I_aC4(sc zqDTkKuL?R9;mXqUjSZl8+7+Yx1V!LI-Ep-bpWTu0F{g_9TfOSloAi_D_Zf5QyP39M z(L57e?>vEg%8u-J%XK`(=?u*Wu6OtS&2qNf4f&CgCDAW)7B8|~`8NXB?(yhXeG{}2 z`moE$kMms;)%mN`7?<^LpFJ;mT;R$#4E3WneM9kFy-NDWZ=}_;?`@Sk@RoRy^i7vMh!VBM)alusV!OYx_4L>;PYXGve0ejipl zK4L#H|CK@frd|c;%^nZL&xci}ajmTl?(k>9wqK`QZE)?`gZK~U5hqWgeN1}L@4#Y1 zT9DQ2{r#YK`ai+_)~u{F-f|Wif_iX0Qzv7!+!`dHf7Ma(F>-m3v?;`ni+6@6|d*=k+`909Te?p8E=VzV$fr z=FDz`btJ~q-{pwkGoUv?1#usCqDvwk&fb8_>%YO@l)nrgy|6jvMa<8E{m>*&0yn?Z z12+@S2itgLCf$o<;D0nOuXf`s=M6t$Tx`r<>bF*r;Od%VHEr#JUrY`Ivt4L<64B-Lk~95~l_MsCX6=%W;WViNMhThQOJ z=>2<;PkpQ7cEs~B9X@7_KgD^sXm{{ov|dbw9OR#x)6Zr5U4H@oPOBmCaaOu5w0dV* z9?DxwKZ^fVM6A^t!CjLMC5>I}_Dv3j=ZA^PP5=pM^|nip=lm})4Vp+%_vheah= zAC^)PKBj+3+Q;OhrB?6E%+61*zrcl0qt(QtsNdUt;iH?E+GIJO(G6V1Hbec(E)#H$ zv+sS#KXyLyEZ<&UXZ3o@D9UHe62^WPZ%+H$Pq}>q;&g^?qWqj)fO>PP(D|s+8c-fO z*XZNQ(zEN-uaj^bd1IloaZbs&*_6-Co51<3L6O#9{gQqEY<>jXY`!$Za^CDG=vCxT z6o1U$zgmBJ)fe$Ql_yd>K1~($4(-G0awOuH{)Z92xv>mBdR=L7b1-il^nsVaS(gOd zd&MM{Xt^9m`xt+IjN8Pw5VZgaTJk69N1fBBitHFNn{lI8N?JNRV%Aq4u>gNorEq8DV} z=OfyK^FwjrHcocD0F5_C7&wbL9AUYrToT-Ql}0{kU!d1@>7LJv{)+sl7GaaDUN4~c zK9)%LC{gjiZ}5NH20rS4^!HJs;h>?=7od9@t9KvwB~`kVFZg{4y(}=A_`SqN@X1#j z<257C(LDMO!27b}+Jo`RO7uGhJDzu%)td_k!TF5tR3{!I$9ZOPr_?QQH8=b3P3zp2 z;2pn4zkJSH^y|D2Mm)xi)&+at6P))ANU(b0vyAc_=M8@rb~eEFD|6F$&4ZW7k62rM zh~<33YU;PvCd{u$%ZYthHTsu)x<8cXTguuKh!CUdj_}{dJ+^@YgHyW4y9)Fy>2!4?sPL4pE55{Bu=Vy?B$8 z)?Gkh=$$*;=UdJWOa$kX^J5-G`=jeES8bBvul775pP=^0gSvhf`FGCt!@TfeDTtrv z{7mz5xe)Tkf`akLLaUE$oN# z={oHH;!gHHwr?KolNHL2v~imG6DSYO#)In)L&hS0H;P|w4F>1+4rNit3NE`Z z09PZ@F^^)#XmIr@k@P*<7XxVck!DfCsc-@hUnfQ#T03DD=rhjFp03yDV!#{MZe{f@_u zO#zp^Ut-?X)Lk_16Y1|QdEfxtPuLo|x67TWm>2WO7kM*5Kver%m>{tN1@~`Od*SW;Ol)fBz3=K*_LEsG}zI z|3x~fQ;7Y0Z_zsbq~&JfkURLCmqF*z%Y%R6`_q@$=lSjHF)o|8nY)i$?%Z9DbBfQU z|EFW`|91@f2D`BjtL_76pPVuVdR}q??f;FB{*320tUh8tbvbuBf2W)bb6H>aj)%d| z?8Z8B{By@y&I&g@2wpuJ=ZlO?QrZI*Ypje}1Sh{KYWuUe-stN5P-RuZ2IG|86FD z!HpDu(<1O^Xiu62w2=bnbY=+zD5l0WoDe)P6KDgJ%Q6A|a_MMpie`VkRrkso<$ jEA}@zt16A_{9E{Q&naJBhy+&2{}BDh2A} literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/29.npy b/MP_Data/pose1/11/29.npy new file mode 100644 index 0000000000000000000000000000000000000000..89e550ee76838d0d9d2c0cfb7f2f95001f5f734f GIT binary patch literal 13424 zcmeI2`F~Ew8}|o6)lP$`Wt0lF#ka)Ll94E?h$Z$!4w1xGBq2dU28mcgLPQYDASJc$ zRmwfp2Bo&x#d2cbi4r@{J)bLo!Sn0$zZqpGv~gO(ye#b?)?j~NEYor zG&mwC+`Tn-|30LpdqeIXGA4Xn_~6ljW5S098{T2?sEA-Ej~F(1Y_Rily{4X?|7%#k zA)n0uZ~s1LjETyVZ+SVd-2UsLx$2@vavjdAb@|g%@Q8}H&6RZ@a31aHQ*F~OXHvVq z5rKC7TMXK*i4yHrJhijI*=QHFenC4=j77VMqjvkqj+@3;EboGLv3&b=_^&Kzf9ipD zIX)Qetn@~->tCr|O#0&n^4dI&?q9uy+P4=m_*;&(WRY;?{?YwZpaC>$^ofl1cZrVk? z-|4>P)t{j~cuT&yicSIW7fDBQ@!5UyKjtb24YJKuzsh^za9-`jiMU@(dxbo7VglX& z+iBEC^lN~+T9;}aH}|QbyRMq6bz=waS0$HGeBKN9iwebYKfCwM1>c#=Pl9i_xmxc2&< zrnvS|)PcPoo?^ItpXwu47sa@!x~=CM&OKI;er$CbFZX4M;LBH$e|A@JeR1a;!`Xoh zaB*r5xHb3vT*GC=I`YZQA^(V=WN?uQ&i(&KLbdmR9;TKdKroRPOk_@oh?2;?|_r@ z5Fc<>dltC3xu~7-;fKr8{`hAyxH@&Hh4GOx3*#j(b|l_zT!i6P{wnejKHzrCk$nue zM>HhvU53Uz)E;L1#nT{gRj4GmwR8R;!>z-wX+HQjCZ0dpGF+}WOL0rk^Msf0TGsfp zX|x|&H;zy~WhYHG+?ss_{6O~FZ4Vs5?toC!T!S=kA*+q^A)X^OChnw-x^);yl6Xt=9}z@b;sU~qH%YvjQPNd zH^F?Mu*(M+RP?@OVc{P=40ORo88zR}yR-+{CEEO4vPJa8*9i~8lc7Cv%o=WwG}WoSOj zne)Kei?dPi@k~No*{v4xw-+881pd+{pDwgN@T}{!|GX`jx0BmJuiqVtGkUR*)}x3z zfPF(B>yrR}w=jGx--_8@Mz_9?x4E*qy%Cqs35H&MR$GFnw1VD_>WMn5DGw>n%H5#1 z*8YyT;?0~WqgO!{!R>GRfGfY_3lL{!DC#47UckEG^;1(EPQ8576x>QIgF5JxlJgC> zfiS_ z=&fb@(Jwpy1J(Jbr{weCIP|jRK5%=+NE%<4XW;A^olm7sKs`kzw%N;!`(!$Au%GtQ zIR4Nz&BW!uyeFTUG%j*vH)*)u@d8{#%|%>!=pyz9Vfj)W1{KdSzE;l{m_L?3?YHXs zC-_@$XCWW^+7HySO3d3cWw*l{wg#?C(xTnz;4~Z^Y%(24nwZ4?AIA>Eu)3 za;YzT^q~x#6Zo1)%zsh#2-X*`ET@~i)SDf&zUFPGb>!O91AOrla9ukK>yA5a$C$V( z;TpwtiNbu49XOsxc6XY$GVoto*E?FwHhOCe)nEMD0RC*^DAY%NPWv94xE<#xUFg6l zqZe0lDej9HJO@SH`a?}VR-J+1Y9yTx*~m(9hU;JVBOl@IO8Rn>LclvMfL`p)z`iP1 zo(ltadkVeX|0DFe&~nP>Qc=|3s$3Fv6GdXMzWCFsVM)~lJVgmW>Y?)`@y9Z zM*bfzfwQE$q#xJM$Klkg8a`CFLYu)wmF+>(@uWRQvDYW4GV7+{D$5k5JsJh4DTuf}1BBJ1WjEnfbJ^Ce{M&=luReQlaTrW4LJiBj2 z{w%+VAN=RXkpJru)UVnf5)2o`zNY;1nt{u(ROHDj|48HFQVsin?Bs`j*(Zd-ufzhwd0Zek z``|3Mr=Y^dZw8rRJZ<^<9;s(TJ+w2jB^YL_^VfU-k{^?U5{pE`{!e6+B!Cw|V4}bRg zdE{daSwwM5ri_FCiI1qW`1};rr(WVJ!)1|n@KHV?nE!V35IPq{(>YmGr*p5oPzm+4 zBWeCyIme;5<_@Rx%;6@K&n1q2v7=9+XMNqk^~2rZy533bpLPbF|8>I&@DYWt;<>}B z-A4ZU{dme}N-EBQ{NP#QB|}Lc@EBaYUqt=g=mIVmWl4vrXD@|1%P)4JzqVT@>M5I4 zL_XHm>6ll{zJ&3$KG6J;=f+U|cOCCy>SG7~1%FmGf%w>=Lk+i1z60m822noyd@1g; zB{a{gb^zzaH(|K4|34xEu|1QSl$^BnZ{;vaQUhO@DaTM8;k*B!b7~`%VoJ@zl zmJc|u`X{Z6iWe6eE_X+OtJW#t_MZ8vhO=K7>G#*9{oi*L&7Zd$!0pHym?!E;qd23t zZqWB9?0zKj;U0gW&iXo?-(>DwaJjTUID0|wHG1468sGShfr#s_sBY{Tt-EQ9ry$Qw zo596nmja(vV-45;)S`M${s6t*vqm)ZZN?MN%%F7|aWWSAzVv;Cd{-IIL6w&lY&aJJ z{jzqs)4G_^5A#j?*yOW49(7=EpW-~m{%#Gf)8Es)eRXuCm(xcKrv1>~O#M|87dJLs zuBYb+cg@21s(_;XO z&*+JKtcfY`kzWp(VElO{nr~`TGVKE%J&-@YT^0S6E}c;~aVaO==lT)GBwr5ttib;*9rcH>)%I#tDlaY^KyO`AK!){r&C z;*{qxP5V{;Ug-7DMNtQJBnszD_BJ0}d~~P!{QF-I(O5G{f2Y6R3ln zn~U+XBAQ{|imrL!dW#F{!2GOMUM3$;ifa$5MtnpcnkVsRFfRP<0UGy)$)k%V z>__z+G9$%sJtqQnv+w>v{fa8T0s8E(!MVpaa2?fkx#9M*G4Nqw^m~K~ZC4F^{Y4s= zGCi-D&nl(P0*CV|x1I#oW%I$={xvv1s1_9{&!Y7Gt(`do`jL#Stc*}s{=k(m6n+QY5-dW zpUwxt`MBj+*W%Mv;y->OpF=@3UU!<|{Z}V^gkE%Oh9;&VK|^wziG@VA2C&#t6mT=cU?TMd^VK2e?f7wlI}Kgaik@{7yh>OB3< zq8IojIh=ZRZ6N&FvRd#LgZ>z9eDrA_aIvTgxRo2w*>JJ@Hs!f*E$YCl6veqqN~*u8 z+X?k&%l6ScdE^1TU9$rEtBURIvI029~wEhadt-3nY@b_+E=tVSDfeuTaUW)r{q&gk`b58>!2T$|6YaI?K`)-ygg;x~V2IK4n%{!6D0gt>s4~oO z`@_G~-(5Fp+!Jdi8!j!{Z$&DdPwaYTwZghe*O7^_OZ_#7+=}(D7f_eE*rYlPq1Ftg01A!ydABhio@|- zW3Lty4;p*c=+&b?el}OpuN%14ttgFqPJ;l4lXKT&$X_5RW<1Zt3z+c2a!Sha}b)09o726QwA_`B%bCy>wywq^+eGfkB z44s#F$_tz;c+4aCupdjohrRzg#pu}>+V}X=f8nD}ln!?|vCb$?{VjJ4b(5}Lu#V(? z3vulVw<)fBQ92J_E(dO%cmXcg^n|pRx6AP%dl~7v7V2oe!ZgiN-4r8qhG;| zDQ?mm@;{dyfqrd#Lv@?B7u;&wX9&2@5^yo4G`PsVhV>#|4n;nE-~W)msvW=5=-JQo z+>wr#*!S$Ps%hXmHk1G1MA|o6lvwF-%9SdNe0anmnpf@e!VI^Lhf)2P(YZ^7x7z`q z=xoa8{b=N)jvec2I3G~3UPjULS7po$Ha@K08S;-EO5@w{{z9X-r_uRMRvU)=b<&~~ z=x0u#el_}tJnf{{+l`)8yF+nHtc8#Ls9HRHN?rq(P0GWEjadbh@J$8%it>IJS(&qbZZ zmObl?p1m86{@RsX@m|cT9SR3Ov=(`?S)0)>@nkOMn{}oM^kP4aqi{?c;BeZgAG%T8 zZilJAyCU(NvTh}i|HF+`&sm>i{fcD);L0tF_*b!UCazNSe`0c2Z{#l?ckB=Ux^#XJ zbH*bdxyV-;z1@KJE0#DH`RmMg$X~2ar#w?D6Yu7raSS~Ru0N$;H}_j9n^0%HpY}1; zpYms+6LHQLuS!C1W$i(pTo#{h?h{v@(>OlgO8K{`84tf<%~1#I>s6YQf)X z>6r+hwp2I%rx*10u1uV}bdfcrkDd=b>*$GnOunG;RU1?A+~NPzQyr$i4QbukRp|c# z#L8;P;KgX4wEadyZ&xTse7_BUYy2&m&jD>xO+M=AI&gVlCe?p)@@(W;p$a(rwKv8~ zEN@Kbu7iT=dE_eQgB}%w_YUjFJk(zVMpA#j+k$an0e{iBtfAk7`17uK?(4dPD4(m~VgX@t1UYCp~NS1zaXJRjBr+%ENJ9P04yGs^#E zBIW6GX9jrR^5A0U6>uI~CEjrBR84UGUkK`>%cVww@1XZS`H8?vVh{Su zx&~pNbpEi9=RO-q??GyP57b!|>xKPaB-1&H`v!oEp9V`Wr@v}ghw==4kGOj5Rm!Ic ztqY#+M|}RtrABXEPe)wdqBo7BZ^a0czkbseK63kO)W<5`BM|+%P5<{LcW*+Tx|vUk z;nw{}lz;R+JQsBRad?lg?$G<7&hL-;W+$zTHhSfk0e@CEo5m&K>q%ZtE*kk!{s*H` zAD%L`yV2WEBf+iD==)4rhJH`6FKW`e)Bn}jb^DAkK5TOwxY$#f*2QOK8^HhlV{o3* z6WrRCIMr|+T?Sl@{tWZeT03Eqi7R%~ypp5ZV4t_M>rXY@`F%O`cJv+*I*>F*K zJh)h26ywN-=VwBny@~v5J)(YXbsuTCj?Klm*h2znT;9K!>M;3ie@nbkS*mlVVv7wI z#ppfVzSbOEyQI^8l6RNp$;b8dyqoH~9Qt`Tz=gVw{mp9I7Uw|ykoGY)CyDmGoEW?( zihbjdr*$Ke^wn$8^RB^WaG4Yf&TG}je3pyPlYZAGaMfxvoj(V>B7KcS%v+gsIL-9e z+DQ8eZ|Z{niqN~*Pvp@Y==n2$%v)>36?{)6%2M4}y#?TWeKP#@$&utgYB{)Q`3d9Y z{Qm%O)+ioa&0QR0;eJ7Wujf>E8|ChAAEKi zE^pBDR81L-`YY==-h*WE<5d5U>Cp4V!6^=>UU#JPjBflT^zvod6^8R9`kuu8el$4S zS8d?8s-Ro3zQt{_iI7vGlzq_uN4~L7%|In)AJpzxN*0SsZIa`gu{9 z|JI`uG%j!4z~!EM;LcS4|KIer7wLQdG2BY@ruEyTE&Roj)<+B%@f`aDUz7fe(d*rH z;iH1Cz~8R0W`g1D-*wQ-rQg!JW>@ALE|y$AWPJ3Rg|wgKX5rZC~zij0ADe&(y4?e;rf}TeW!%#Qop7%F=;>yr^Z`XMV^v@RmWw;oShq(63 zVu-7roIh;1a!J5*pSOy_c}#xvMn1wT32{a7#|z=p2gI+}>;M1& literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/3.npy b/MP_Data/pose1/11/3.npy new file mode 100644 index 0000000000000000000000000000000000000000..75b46d53de38c10a5e11e31175d6a205e0f57409 GIT binary patch literal 13424 zcmeI2_kYdF7yk#VTP&;FHToh%x6v|-=q<`_^dWkWD2X5w648SoM9J_$l&I16qh$25 z_~_jlH9DKsTfUjs$zSmO_4~~)_i>+d-mi1!%$YNDZ*Fwk&TZOv$-u_4kn(-|1^SOF zUzeA!-~ZS09=v@25u-+r>OH*Ih*5p}Io`DQ(7=9aJaAy|k^R!%|5B}X?dl#CJorTZ zfBTn%rTwWp_r2Zgo;O$At5`GpVUoi;Q(w9F=6Lf5;O*~Ta<6h|(+6&x7o>5Pc@4(x zk?$|NaaN`=#^sxD^!#l0&~YBz0ONKXjk6!P*j@K~ph56Egk=p8rt$9-d!G87#E4Ycip(&nEt$PwI}X5 z5m$$FMlU{&@oMB>TuQj*#&z^3=$NQ8d)&BKLgQK|J$K_a$CQ_NeY$A38@C6iL0A6t z{H)`=%k-!2mAz|#__Xh?XYReey%W#Lj7#6*{hy5wC8cqhVbE>&-WIuvdFv6&kO%uL z`x`fIAMbnN#tqw#bri$A-n;j@w$BMS&U?h%#Q43^*YWyfGUg$>%zWp@)w<#I{OU;f zH-UZeJoBrI{PHa|;g2=XPC60);#J-EdyD5E@5S@%$Afs)1^#*G{HU!TkGgTwVGBLK zd_JDDhsOWy#?9$3|GIHeE1vwHJeKS@U)B`!7wbFiaO1Y#ld+ELbM5cASDCvZ#!a8f zJMsSF+%WfQKD>M6UTyfuZ|+rms}PywUY9nh;oj?BsqiavPQo~!7;waKW5X-rwR||9 zR|$TZgnRB*eXKKUw2`@S7V;;ax5Ij2oNfMqde*@u?>0;u=H1rgd7gL|l`{fAekWcOvb*@VvU)`BhKOeZ=^)T-Lqkg|}f` zUaqj&z1NkFd~)NW+egGJjwB<`x>)FfB*%-s1lJcgV*T|kvC?rf{0YtPW*6)S9vnU2 zaXw)K*-t!s75dS$mpHEWJO$^q@{&%)-&Q%UUs-S^TU~SZEc~DbXGckAco6y(YxehS z$9WAey?de<$fr9Du%KUyhA%T$G9h=dWv? zclP3N=GKn0NuP=P)Ws9W&Dw*rkd(Qw|1}fw&1=DR*juu{`Hl3q)k9sV z%0n?<5%L0Djr&UbHL7Qv)6ud2CHrAnX}zkJjd5J1*2Df%UZW^K`J1owPUB+SCCc-I zPn732M;bXU?`m*yJulYR7C2lQyx}l#v$r5Pdmhliadog1@f>HMW3x;j>$verO}GCG zoS*ZOj`O^;z;%}>tfQFFxObA{uMdICfpchm*H&!rxbEo(Zg*?~xApFUi-I-5)!hf+ zI@6~1PG9=J!F+jqbHpk3@%b%^!z}_uY>8#qaf~545IzXM1yS_IqXQYrg&l<)_$a zgMg{8(j`My6zNh zIFH`k)7k4D+ep9UK=c#6_eb;-HF*H+`Hq9AbCz6u0`xZ)1UC;D;#7lzhd}3T2;vvL z+g|ie)3tBv#<*AYs6F&e>Ef{GiE}4Ad-YEW=~qgm`7W%`#o3#|7F>t^Nc*=>)F@|f zwgi%X)|}w7UWawgo^=~U@lVM?_l()^<~n;`Y7w~XmLSZHyVMPdY<8qo3fN=^>zpKRhiP)+xboS6Mp&2mz2+Dy{0%Wwk?H@Sp4_`?6S`u z>2&nTtz_T54&^gs&ji??9ZT^Kx<-Ci6Z~`@3P3VIb9X|MUSfv&NI<^@iU*XFU0!hr0-AbYd20r zA66Tvp5>kw6wl4*5T`GCPK7-ic^GwTzq_`?apM<4JYqlW&A6zk;HNdX9=n0!Jh5|z z<4pcVeiz4r>s)hj?x<3G$^KJIoC{{=3apE*O6RHRxEXa~d;;epo;K8HMBfhJqElVU zPu5cu&-)BiSC3<;Z$yw^IpYk?E3p{->ic71&#ycHS6@dXe(gJw;=J*Z;@^CO`pl7j z#N*3A-@eL${OcLrz}38N;QC30=`K#?RS29FzluI-w);ZI>?}oflK3y>Gs}%l-f8yw z7Tq^YO^$VxlfEu;I=XXr(tk?pqH}GadhXPTczN0{a@KEje^|dB+y;z*4vRX9{AlY7 zZhjmB&RbNBgnj_67jNI5{Hpb^w=Z9#&P~%U=u7H-H|$gUWf?fTa)a(anb)E}h}g=| zXN#yG>J=x@&sCROn6J4fv0qqU-$*xK^QI7V_>M-{UoxmR&QmqIJ-7{Tj{TxT`r%x& zE$dSJo9-abOs6Urzu40NT-EFZd;YL4=EYtYBOZJleogcw)U%9!2Yt1>EA~5Ibk7eu z)x5z)Kt}X=bz=2k7bp9EH{usX&w%TU%_1DixlTu3c}Vf}sZBiW zV4&l60No$-<=(VjF9v=);B*SEpm|O50GIy@?&9>BNCxMFuOJ>#%cq;;_EmAjBbSF# z9x7z)>$vcn53W7dVP0(cbnI(AeLCXd-2mO&KDl` zKiXfzS*YW-VqVPGex&=k9NB>4dHOqa#NI-b|686h&fYw2K=IcP!v1BWpKXNSk+iSH z_q{PMv+B)g$4%^H=%`$qDgN>=mpL6#z69leus`}6Zy7Vk+1qpZiMKCu$GvAyi^sZG z{etedcI8FH!$#Fy<+x~hlJf9<9QB!smllDaXa}wq)4h@PXujNWd4%pQ@@6LM-m5D+ z{FBmNjl4?pomqnR`>oyRGr~VBxEY!qe&vwdlbk)9P3M>VTnza)&DTUjZ*TzO=Mh_w z2O<8~8@y8-xXHVd@^fK%N5^%$deCQ^Y9oGeehc~-tFRRD^Hui{kE*&A`B7oBD4)H0 zBYs_~#E(wLZnyw_`LQrKKRq4$QJ)zPu9qJ}K5a(-d9e3bNAr5Jm-;~D!k{Fl)15xo zs0+QI!#3Wp=D68(lIFE?HN~GRxvSGreg2_&^_~jO>K`BIxJ=GL^U5%a@}OH|Kk^T= zF)tCC6I@O7ndR(to~O`JM>B!jglK=q#p!+Iw+5}Fy#K5@c;~s`qTapBc;07KUH59< z_5o)b7<9}OPvqII_aU989^mrW!TxxzR}qTm@oMPE3sd7AXLWsHFGU>e`P6m8VZV+( zmzf7QurBiH@_9+lZ=1%LuVuZlFXZf|=<|H+Kyd!;Io0j@R?*I0)~55woX-e*zSwKN z(#g}&9`>mk&cUbK{T%)R-n%9mKJlNGwizuZd_$7 zOLdY^ocf9IfW4~Y11^_jgpQfhiRw9@7v^i;4p`})mvvWAetKTPy+XF^GsEfIfW@S< z^(#30S{U~enK}>Lyr_@;BLAF>`;2}%lXSX9(LVAoI>+f~Px^c$kC&u-RJAe@;6Ksl zEW7C;^i8>!=&QU{6X>wq_rQ7QwaC9*Py<|SI8XMspMjekZ;*evdpNkh6^Q+7hJ3($ znO{lF*B;L^)XmrAA31ul4ROi?14;jILZGwfD?(t;stkiY>$*DFaW?QAIKTS?)=^jV zMV-rR9mwzZQ^0w{g79nZP~D1JiI|seav$-F2h`_P!_UZrsr?Z5VNrJhbWHP}h(}Ed z@8|9ET{X3#(2>Wcp-$Lnx(~?hxe>qi{)BtG{9_E&mG>6( zH@?LSbz)a^pn6#Tg!*3eWU7bv)4^Hc-@rxq)HoNv8U8c4J{*bq)IIvNa$MF=Utj+g zRJVKY4aR)0E5xZ6HUZ~;nFFA6iSDcX-~Qn8VL*TAq~@l1<=PBxT3oE-ou;oe-5dGQ z9oS#;%El?+eJUeA>|`+Jt6Du+>9{OP_jB_w9Ca={ir}8ZPEkFusC88T$qC(^y3bm={{me1r28AovkW?>C4K(Y32T-?zl=Y)e%K6t`PHlF+jeC7_f8W&(7GR8yu#Uw z&||PyrHaAcUVe>xm#swS2rE4Z^JNPcj`B{kx1Mdu?}XXJW3nO-BEAneFR+IA_?AO4 zuO2n1PCmB=S6>u##OMOx{AMX|?$;^6>FYS^KP=<`^3QXAj&VBXZ2pJv->x9(^Y7=m z_iAZ=^egt=KbV*Gy@`Cvd+T8@;tyYhZld1?*#9z<`rDaA=*Yi+QW$T&AKX@>`=S1? zob0&R^c-AfjVF7L`sn8@z8v&Z!r8uq=1{UUBGpt(^DMhVU!0`Wiq&Ye{wqX7k5NF>h@;x%lsEQ zE}QRyj%xS?eM}bd@=9`Xrj(-iv%MjmEB&LP)A=emtK|nBo3aCWWBsRsiyoiZPOJt~09Fa6N>WVKCne`q)u+_ruKdscQk zzQ<6$>G>&Ff$UG74TH|U_OKU^27!x_tA1FkN9n;uF$vpvygqMUExmO-t6C+4i>wid$Gm#c2XU>e1RechHSq>FQRiaDIB;|NzZaaH+_vjKcs)z=HD`09 z9_;zb!AWW3qI+-Xt6Fp}n8M>HIeXLY1vr}(O8I{jKE!eDe+2r%zZm7ecmJ)9i#DBL zuZN$-y!gw^SYICN32sudp#PX>8Bh2gj@!wUAJMHO<@5SK^ODjy`?ovA6OsP^wd0+UPw_Yu+&t_^`N>iZ z_iFR48Sz~&kq4P80QJW9tpiuTP@Y-2ZVeItjV0h>E8Sz&y{jXgUsGxk>FlBZU$fy` zT071s3vhjF5%krCd5auZv3I6^mrOi;?$Aq; zkvIF8`jQ^B9r3W}Rg|B+BgpTlCEzCIO$g$DJ`UV8r|*+x<_-#RR*3+YN6*3DE*8i? zYdQ~HrPBAn+L}=4#3vFL{m}PR_RixluK{;Z4`x60AGU0BqIcSK`Qk9r|B=?qlV5c^O;UZZFvhF(=apb3$G^uj_d2|!DYK~wC?4e3`|PnR+k4?ZJNT~*50lh z=YP^ZQoGke-=3J;5B8&}PSi?I#ABQ98tC-Zw0ww1*NMb=$68jL<2dg$o8tUf0Dayp zpSQ$u{jmxBvhV;pAJ6s(b6luaq;rnG-w+py;G9)MYs20&{)2S-24a8dW<9|9!TQLX zY5jg-lJmRZ5Oh?VU^-udH*2SF-i;*v;Hltj{@eNB2{nnU6U57RM!yojT_XLy`@qGz z#uJ^r`jhTOHlB3s)RLne*ZqHoy&cnxbSjVN>$rUN2KPNB7h}Hmx;ORJ2}j{qq!`qL zIh3#h`fEoMA4LCmwktElIL@nOhQ1c`e+TY4V?~nFUrGHD2=DY<=i{Vz2sA zp6_PBzEIg{ea*4Y#19av29(Cf|WoIYH9a!LAMSVKQ zZRj2N6|WjaJ9}~Q2HD@6j(s5-g>QHE_Cq7+tJifX567lNIL^=10=MVsa{<3wEY|6m z+(FQhRpwCLZdkX}*|WBzz*)w|=x=OLAkJmA`#CsYlZ<%u&d`m{Uil_~i*CEAFXcIf z^Flt~N&3esV_qz0R6O)s9!5Ok`ocTzy{_JJF!+S8SVs|50Q2IXep{53Hg5Jzr@TGf z0l%#N(XNj3CtIMes!Gc9eJ}V`+aFRMGBgKQ0jblVpLZ|$Ez}d-6rCIHxGotF&MTil z{9=FN0H-frP@UUZ^t%fcq~c(|gzkqbu90=`Z6_bZZ*smPzps{IULy7%)IV=o6>+j_ zxxtP99^}~+qCU)LQ9OFuipkJxGzdCuPaBGJw9gdB#fx^}rdeZf*<@6N<1A<)^hLx# zs-LmFsLmG-guN_!9$cwr&=;QM*FITG_GJp7Kj=OCU~ezRfb-co;8#9)On$4zgPW4x zw0|pQCco-9@#iJ*{Vn4s!1c-dmt1^&=rr8BOx_IOY)TcxZ)@a7ACoO2p|7%K#kr%; z??QjJ>uJBsRQi2_{@YUjPpkra-S9T*M769nH_7EEpg#G%?uWV+i-OSKc+QOAau0o9 zq)K%`{B|GR&u!xzSVxt8;wYyhduiBnM&z7Ka?o%{*h z9HajS*_5($|CvkoH0zfe`ZDS@@~K`tBK^ZYh~M^UL;4}~IYK3@q&j@Z!d*OicNge$ zeH2_4oj%oZHM}plI7#O?e{&As!zezC;yFUUJJPF5M>>03JOrFAxQ2Q0DIdo>E@sXE z*Bj^_CHi=bgx?;q;5Kdy{Mu$e3R}~^@ zT^4kv^}4cSuD9d)eiS60V-<)QR@=86HRAC}Nz zkc&rl`~rKvpMHmGKL^csoS*eUJmO@3^d&R&0PctCtS>m*bR0V7dc#m>Z|dM|6JJE4<_rKukLvE~#32&pp zH`C`A=`n-q{O+OIj@#pxVbABzguOhLf1TsvLN;(So$jl~n)h;dGs=;I{4BrQqqGvskYmLntD?yC@s5km zzfphBR|tA~qgNRC-vwdMs?qV`npg-ab;*jk}LZ8dq!<~*?Jqz#UgzMDzKBeG3BjT&l`IP)S z^i{!f^!>@LyOgiJ^m|cuKb-DeDGMmR|EzIsp?2PG->lpg~nJq*2aJy>h%%uMVc;WR2 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/4.npy b/MP_Data/pose1/11/4.npy new file mode 100644 index 0000000000000000000000000000000000000000..605f6306d0b71e8cbe5e091736d9a8c7090fa733 GIT binary patch literal 13424 zcmeI2_kT~x8}>(Coy97u$AY_6>f*>MMR$_F)DnVE+ zbGa=y$F|En)GkY} zMZ0n9g?4^B7472Y7rK6Zp1bxs^(hSP`VqCu&(v=2l}G>bSQE61b=7gb<4XQKeZwvE zThSNo>c^ka&KhL5d$^%pbO@pLebvxz`cgYpE|d2VUy)e%sD>WVbI#dyMvqzEAC^9Cd7mZ5Lhs zgRd?;>a6AF#m$G%we~@L`fPbz$M;Xfb;c|Bjcw--wj8k6%di(WppW@T^Zw&M$b;^b z^R;bPLtZ>VyBUUglsk*Pv)}orrAKVL@t%UXd0L?>mYds;X&enA-`aNhY%#7EldGeD z^-lx3-u1&N+wOFWp}Ze?j=Y)QJ#oDV81x3$Ke>VHS?iJbbWR?4Yy08-!VaT-L2=}r zmyOS~TqQoncv$SGS7?860@ukifB$RSO?-KbUpQ==ZC4dvO|qQ*)8QZcsdp4YyI#9v zoBi(8{Vl?N@`Ly9*-v$#_7{Bm?3k8jzrV^|&wkexcT&Ip)zNP5EYp^oE`HVRCr_M+ z>z%<3b8-8<-ay2y-+SkuPNQ~r zzqx5y?QC$~&$eA(&V{_p%rLeHnL?_FApB3Jglt-u3WApfM<3>9qGw&$PWwMyWGabr`|=LW#Q78 zM>&3>kLAw&6sl|g8Z^I8TXPkGZPCxJ!zmh)a9_CAWCryBVR8h+RiU;7@ zb(6p4%q59@_Wy}_6l|GKS{CNH(!s?%;@m5>vgKmIFyci{LN8~gl?JcwLHuM+_={P0 zeXYN4lONoP9YEtM6dP_iTl*X0;k^Q}PQ)=0VttrrBk0w$F!-n>zc8ye-?u^D-fpaB;dQxTxJe#_HAZtMD;@Z$}W)8rq2k@f-iFUoS~`TxMp&Q{Hdj0v^aI4q#bAj{N^W@Xo*U#$Jf+z5o^&I3=Cw3iW_2R%x z_{+e`;Lg6<>!42_L;kC1or-F!u--+j<=|qV7uK)SvS_UJasK&*^f5ocMpPzGshQYU)$8~`>+eiDMe8EAIP@l9QH15HG@bio(;~>T468KQ z`m^-I(3@F3kx%t$goMx2S>)6DBYeb$Qt_7Si6;?1U*|*hKaTcoU2+k)6BiAxT+1MD ztl&s+6TgRe?Os?f+b`5zj zN3!#|=RN${^oA3yo}Y__Ue&vYy5)&tvE{Nv1h|elM)B-%jYPk**Asu93hq>jnF*hS z4C0m7fg8UB++Wz>qu|caE_7b#yCK5rMbC5Kro>Lf$&RPagHM5UaQ>(_xJVy@{OEP$ z&u10}Hy=-8-w@6v(l@_K@$~A9e)X+za8~XGxQKKp{vng7->FoGdeLm`GqS}fa3}K@ ziYMn*8duaHaOoES&X-&vee+7-y!=D#lWh0g88&{o+zs`>MKR15-+Sdx_bje@(mC4< zY6UKz9mM@kB0`ZvGuh``(e2!8U$YY7^EA8~O&ES9ls^xhUjD`URP& z6Vt00&Of{~?W;OD;=CQF?4J^CKTVPBeJpbj))61Ddggjb=by6otBjU(|NY5p zg5{!PPw4p=1s@qSWJ+2VSM!GxPmZViLQ1#Amg~~9(XVV7fIPF%lCjpuEd5CJ)6g4S zWv&@#xq8$V@vGEHG%rJ9T3arzZ>Dk0Y6~t3kM_3yY}Y%|pM8mV%tJRH%gvCQh)0)7 z1ZP3jh2>&L5{R+ATn_xLh8VD{%=Ek^m^9o7OdpANn&Zut; zbnVU#PRo*ubGL|hX-Vt-#RQDkx$qr0zg`9Xn#T)5tzL#_*P&>P{Oer-3*a|uI^ySV zs2*5!<{-;;hpphM*BP4kSuJsnHGk0k-Tc-9@jC;)!TjoRTPXg99}$mpW5`_V!vhi# z5BuPU_|5IDo;DtF;vV@w`Vn0J)@wTAxi}YGoW6j3^2FQoEH@ugXk0UH(*E=9sIk^Z z2GDbgxFE>irE@pSbtavA)fkQV&GXfM@cAzXeAIP%juS18jIdml`hnsMpGWzB_{Uhw z_1u*-u7Ncu59i8b-kn<6?`58r1Lv(rW8YINP9c8h?uQI}y>lw0Cww+9CqC#cILm0+ z#d2PFEV%ag4n9u4UBYs)uLrp3Nc#`-I)*rfi!0($e;tC4x_xae^q>66r^+t)m|sJK z;qUqZn~FI9y8+IcCDMBNJ#{Gf&g^|Dr3U8F zIeh{51>Qdcag|Q@uVKT`FVE|P@tWO}m)q;jtYqj-p4+&OtDfC(esJ#5 z^A7tnKh}k8Su`dsORug|{qyB*!C9eT#G@KypAV}oCjIvEIPZy_be?fK*Ti_)(~t=3 zqtp7JUuXYwI_F&RM4p|FG>>f76FOHMxdYBWHKRCFuYNz@}OU*l_tJAUljVSO!Fwbi@`_Ts5Z{#!4weiQK_epAMw&7 z%yN}^6Wnw?jW~r{@Dj_}1DY?@z#p8A?H*^jZghp>ywHfo^{yhGf5no);Bsjy_J96E z_&lqZzfk??&Kpp-veniZmYbOD{pYWT6wl^Um@hMbCw%mbuQZQSzX#{3nHaA+^a%5= zUMBckAHF|7^y+a4?dMG;?b}IZ$fwO1@)=fp4D{Z!;lt`hK+kIR4zXNZq4nil`5E)5 z!}CtDTsIj2z0A7^To&2u2flSJ{GFM*X`NQ}iUe;=&k-V^Ebb#tlkad&P~FzRM;{o9 zczEa&e|H;y!fSBx;625uUv{)UYU4(5=NmVS*BLRS5B$^UeTCyw5c6*KhvQtNl6#Z? zuzs{&0vb^Lq|Lu+`%zmGpl5yjmf?HmUeebr2Cka6#raU&q4NOSR*U8_g3)>Yfu!+X zJBM+pd^?xeczBb3;HF%D{?PN_k4ezat_3azC)2*ywOs|vb&hL@ zN8T6;&YD~tV7XH?E_+-7r2pP)D11g{pI7@tfg6_>$Pb%UiG1>%1{d{8cXhYpulNah zkgv~TUC55@A}rT!TZ5Y!2^g;~TVsXgPI3+Sh_6YgbNTK2ah99f0pN-q1n0lr9{~UK zKZ(0-AwH-|Tj<|E1=l$zgX?<&&+qJ4hw`?}o&0+b#eGdIruQe#**xU4d0`Lu->r!_ z*?={OQ;zZ2WVzGYm-0NZA@a}JTdX_PBZhdMR?wT~rQ_3V{8iV1%PuD{FD$jyGRxJw zgW&uYJ(sDyQA;fs)v3<)X?p%;wSEEDZ3Cg#@BPuQv%5R(+apeco80BV%@SA4yVyw2 zvuu1baGmSV1naMdHi6!G9ff((JJ*eI&*JPl?c4gNKWQI(cC?4(e0LD^D*6!drvW(E zac?^R^P2wP=HBJ8Rxc;ga~5CdPX7Cj!(aT5-p86t26=XlL@l)Ouv}&DqMtr>p?AKS zjB^xs%HuvLYL`U(JZKy8$>nzFo!YnY94CYKC)?|ts&UY(!{^|`mxYBPo;ioWS*7#f z^7Zj>=)1lGm%|QHzXyCHEmwVO!e5mbPCk4%);l{f7<%X2cGBl-0Dl&6jQm#(L;dSi zzfkKV8YF=8_v68xv;8Mn&S$+RzH%Zs52-N?@w_QR<0`xg+)T*8{Y9_s1unmwpniRq zFR*&^?tk!+W%FS_bhhN{o|eV6$Is;BPxm8s=*WDlXXS2_PwsK>5m9fDH??UFxGFoC z#=D{LQmYsB(`j6jTcU1FYQv`1U;WUO;%}0H{aHMoI^S|Jygs;YH4gimJfDH{gJ$E% zC)a<_JAXgK`AsfZ0xmB#fu1QBoCoB=KH#R_L~z|3B2y5((G8$Z8K^`q|{Li{2#LLtt>6`_|+UBUH1ujQ8O6@JJApHQCWD|o~l>!Zs0 zLoX_&(|(e-5Av+KPbJP1$iM#(dJi@r99#u?fXlKkDgLqKZ>ClNS1-$8-qn-R(Cg5U z%jmCeHLPD}#1n8iaD6)XqX0kqslDnTP7{5c`0Zj6?Uy9DGv?ZP`(0k^xYB-#Ei_&u z>tI~!N#gi4+dg;*#ou`i)myKnQ>>nM|48vPj-~t;X*URd#V^8N75EigZQZ&VJWN1u zx;)3YI4_9#Wd*2C#8P@+s@pt8epu*1(&t_cAF*U#ckAPXZUAR9>31Th`KEShS==o5 zK)?EeKgMgmG@*4-W*YP=j^6*U@9xjAde&h9xN|BEdiiA@?rZF?rQo~(C!gaP*vDjI z8uk0f>~k2;=kyu)ygLB>@{4iUXT-_L3oSSIlcCoe&LhwKPSGIC*@wx{%jgU67q8aG zTdv#uLGhpKOYv;Iu^j#(^gB4~UXSwd`DJXH)gPvPM(w5F*I52YWUXu(2)ivkP&)60XBhKRUJ*xcRF&ox3XjiG4;EZw4-XUs61q zCd@`W)f$q%E1la-w~FYO?Wg@jc1ecb%(#sB`OpaH^~t};r|n^BeRRwD#4r2-pAm?8cWRZG2VP|ixXH`G&G8P1N5nNCeRKzKmXe9Q zIk^^t%h*cTf1GgE*~X)MAA|GM$>7H4zhRb(KGCEPo=x!||Aaj7!S$&Aw-&{^a5@Gr zg8phLaQ0h4tRoe@dZy+2?kDp9uR5*AUUHP>JTR5~BO{Sd=jeaK)3P{g;!6DM5L#cA z=Y?4=0~>*BpOe(@-wXRgKZJvuGu^PR`Lor-t-lPdpALdH^im-9;aYmL4vhm2cLGa;a z1@h*|^YNCeoG0NU8Ye){I(@6G5BCTGccNE-n|coX&A}$%y!{=DGx?`Ts~65S8t<#i z;OgPlNtWwHv>%FyRp2_I+i1(#Nnhwyr2z8xd^!O7u&=k#-ksjh@DXDp)2zPz8H%&q zHL8=lBGKwp!X)BbHX{$}O!EZzTrNuSlqya2_E)1M>tlYVJeY-p;iF^cVgJ#~?vhWZ zk;t>SIWq_W24s&gy{k&cy_^^-kzDv9*y1?q46uOT) z^KwA1Hl9C|M#Z$z)K+*$VlT(!@Qc*L_m)>|$X?;)RjXR+Qz#$((s z%=uKY|Z$Mdy4mp+4@v{Kx_FFF6T%U5QP%{fe~hq+d<% zPt@cSL##h*a+=~#DT8>-wjYzMUU`K;uMf30_PhT2#1}r{xuBQMdW?$|8Wn3f4{8o> zRC#b&pd|7v7B8ZB!a@;`THbQ1)jMTIfjjT$Jg*MsnTCGK^`L%#7(nsgX&8ZilM~_3 zlcK4foe`*WIX{T>&mL0#_g96#I8FUJMfQX13HK!8+(qXcwtEw}{BaBPro%J%$nj~U zU%43TS63}a<63)@_~&-BtPdNW4lZ)#1UFqOZ?Rm>&I|60Zjbm`!BVu3O{eD|=W}`7 zcf`g#)6%l^x}hKXWf>V%Z$BQT`(`6Lhwv)zXc360IrkE%&=TUX3y`7BD8+rXaC;xiRx3TQ(Ufk`&xob* zF3bM?^ktj5?$G~4{x=I_pOhbyL#>|es{-z<{fhcw`S*;qdYP{!xTsx->SuWY$!D;9cPs6(4p4||qygCd%`r}oMOSFC?;q%L{@KGfXARcG- z(g^Fr4}PJ3YX@Sy%4;;{%jsJSdUhqA>SyqniO`=q0xpBAQJoB`u*`DNVF>wuN`hV& zNydJn-rfP%`PV|P7FSto_4;-RaL1j_tE_lA0UxIg;!($QAbz$he|TD!-n8un?tD;m zKfN$*q2(-PEVx{I6kJXihy6t6^q_Ioa;N?0+lfo9UcGG#F22xyE1T89Jo22`_o-8E zs9W8;V4#gh?Y#s&dtC+GIXV>Q8TGOl;%6T9NgrQNTD{rWn0U+V_nFm-Mq93{_5JE4P-=J12{P>y+nsPvv-0-t^q;--VmE$Nf>gIEOfu zM+fNHLoci^^)8n3@LxUhDR+Ak;(0;O(afg+xcI$bh~=z!_IYF9b;QXRMxh>f#|Jd7 zGRL8JDh}U<_?wNU{Di$ip3VB>w2r=a1=oG)oNwkVnxB?suktkqcebsEp5OLNv|J`u zqB!e*BA?d%|A78v6Vi{Q_bReQ%_Wxeh5_K_e^s$A_|l=YuTK7v^fT#wwK-Lf{Ew9) z|CcpM@7#>HJ|=|xRheUo*~j>ntM;c9RDVD~J&cvzNvZfv0Z6#loB_0cgu zP=10wp&sOqyRc6>xw4;A^3(sJsrjuik6D-e|G)nSGoY7!i~4p(())h-Bq7rNzqioe zVt;hr^}>0>2??hAmrG&nr_${k?9a016>z6zUvTERh4$g|E61arYq(;6XOUFrGCFsd z<>~oe;NC; z-qtA!^*`+iu2<$9t*@B6Q>?$7e*yhTKTqiSg?QTMQx>3Kbt;3_(dQ*&tdHr{2L0-e z3$TvZvE=ENt0nY%h7%bFf2Y`rde+}G@WywM^n~`ed{rmG=i)1H{XMN~{o0%29I_hm zh#ju*cg`G}WA!?P{trydKa1to>4 QA%^%ndQO+eQs$=pA9StsAOHXW literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/5.npy b/MP_Data/pose1/11/5.npy new file mode 100644 index 0000000000000000000000000000000000000000..357b20c5bc6e91b99c14487c6e8d0d42876539d3 GIT binary patch literal 13424 zcmeI2^?#N(+s4C?p<}p1aJRyMVhs)*?lM>kv=lA0xTd9OJ8D2FQUV=AiWb*q4-YmR zio*!*4uhd@bDaGP-e2Fhzuceuo8vli=FFK~xvt(Z?Yp(>*ee|y%O;f{=o>U3uzY=9 zzM)^e@>O_wzktBefj%RC4G0|Q>v&6_VL`sBJjmZ?q;Kl?3N`E0@u*U<3ZKINw|`k# z>fg+>cf3+R)Tfk7_$+b$UUKSpx%S%&_g#CoyX!uMU&ICXX$!~Sb?xHzSG21p>#6<1 zCbaX@i_xxkQoDKh!##JMdUlH1w^O@Fp?2}5IQrMa!l*qwH?FsZ()yp5cpLp*OhCK& zkQ42)6t&wo_0Y}_?n1jbp9}4*1GTH9MD#Cu&cgWk*KHSF{Bkz+Z-0}woWBl>MY~z{ z_Zio28_@N}cM`^DJ-n|uowyKu8`m$Oc2V;!#n-eX+IhDvw{U$zTK}0^K62OD*VW-8 zBTFB3?W{HRFAM&7!?lYtpO6RhqEE7Gm&d7H$Nu@$wd)!^pX2l1&aJN9cIf}ueYY9b zopGP??F)QY4O$>R9X=J;8J|A5PPXp&&gsmSEXG~0PM5H_E-$-`&rA1_2ifP_8`rM4 zl%VU@bjCc(r_cUzI`gFWA=fS@mqpyHV7)7ji>G;M9Jj{))H?IPak2DAj9(PoljN?Kv)3ud*-d}CF7ex2TtB$SR`5^t z=eSQk>B)V3Kbr9?K4%99C%fw(9P@DB&AUy1yH7ne1KMr(ImUgLQN1d;Pv#kb>ve%b z>4oEgb*WzdJ)REN1q{aZrhj3yn~nQ0FZ^e7r*W#DPmQ4KAI78IE~E7#j`_TC?dEF} zTyKX`yLh+?d1WIyK1TbIMzsFE^~~V<=i{nwbN!029v@x1h&hk(i-~?{x83tZC8u)x z$FVQ2UCqjZx;1;VV1CqxTQO)a^BMKZh>L&x=JYDA z1M({Ft^qe6$B%aH=8r@05sQ0af6yJ@O?P_R{6FCAb5x4csjUlUIL_;=1~>f%o^@PA z|K81UeLWlUz}ECY9{Ap3$OD^1T=a?nXQR>~e=0lWO*~%(Zd%H4=c6kB03Z4IDDmn; zz(x05#80KiI^r#s&x8Kwyx=N#M{qrVTcqQnd_Hi!dnLFD+!28|J;_Jis7H1A&mxSM zKcfA`zN(0MvDJ^qJ3TA@7mb&Bfb(se7CLU1cc%3@G8XyKSI%g!RBk>#K%UixqL@d$ zppBQ~YW8+;R=p;;XgfH&<1*KD(%-B@`aZKdLZ7uhaqp)zUkiU91OLBrAs+ehIk+sD z*pIk|-tJ4nJo2i0eUelC#fFRE;w5o=!K0Jotn3JI+59Z&FY(Uc%e+ZnD>M9czxHjN zziOHtT)p#0oU+<4(;VjyenvdJb=p4haLQQcV?8N;{xp>0e^Yjn(;L6m$eYg48a{SH zt`&~6;)lWI)jZ&=X|^!OMPZA6`NdtRf7z?z6z9*zouoX}$wYOvoYoy{c7^!Wc&eYx z4^aX@$C;EYl(o~21eXlUb<%C3VoA&_pI{6^#O;?-=u0CA{7rmFv za(WR}l6btP`W#RXd0_3&fy=rU@r$-EH1x%e5Wmn4oCn;(x)%SuqCE79rFl7;r-xUn zKP%x${w?xhz1w>wCm_xqoxz#UefXI3I>vE*yfwJFwFsQuj>LFPZBNSQx{Kht-}1ij zxs^;l59h<*B&}Nx{%8{PmfuI6+baVnJI>Elp?a8G2638&XNQ4bi$eTjmduog6Niuo-QY`8$7NDS=4ZSE#c~jLt1UtQGe1Z5zfB1+t z9Yet*CxFX@Ti91kxftn{syCxfQ$0M&3%xNS#BsK21N3HjZseH<-x}q7)aN76>ovV8 zpBpRDx?7i)w}M~bqk06zz~|O^%Fk0D)U$bA8}(z3Xv)La`QUQ?R*Xv@9!L5d|0N!~ zZ!Y@nJsVt)Yl}SS$Y`t=7TlbCvgb!W^{azpoLOpR#e44f&;m`Yw zngD;#Sn@CW0(Hyl42XkIY&f`?c?Np5e#8vue@X&Z=?u7C6Fvug>UD6oeG51nI~MmB zR_Qe9xi{_$BKH=|i)6H)=ql?e{wuAJ2Nrb=dXc#cxDEe8`B|6dKZfdu?aqn&j@*0$ zdKr2F{hBr_(XUOWys^vA!Fl>5#4oRhkbdHK@aK68&&GJ?O#o*LD-+M>iTsPIBT3)Q z2VC^*54|Z;8C-?E!a2~i?>fu*$V?4UC(I`&)ooqB4PL37ZTJ^@-tuSSA4BPWcWF2{ zEBr6zZNYx!d~9FZKTU&-)NivUG>@-$LvN!O!iSggiE?`W<3QrG=7FnLYiByHHf;tM zGsaQBpIbt&vZU<~+a_aQk}Il=c6ye1E3KD(pNYp!!1@(C1^JA+gE|p+8Y9o<OjXKxNdM3%Fn!(#Iw&E4etF5^rrV3 z^2v}1@tdB3;QUBD^2Uk{iAzrPSDPb{H-2si^2`Pok3_%gzJiPQ-6{W@2Lyq4X^VbU z&grBNy!_=rs*k-z^Cbe>gB!1+y_`Sy{6u-~{V(FN=d<*2oDHpxc;vPOa1oVzAoN>l zUlP^MVqA7-FVw%>mq78<*o*k}qgFUSNOKX~q%?zG|Iuoyi&JO31AkkxGU`nnIUDc% zbwo?b!;?gcvsrPfXP+|gkpr7ioczy3=cB^9L(huSd4`{^;fpw@(fx(Jeogtz_Ulym zUoMaFnjMP}4}V+>@vyW0K|d^%rg>4o_f zJEJLn|0|ULf7M_(k9fueW@2ZZpIFxI1hf0aj8~|mO8HMHl}z~dh5RPt0ggyGVngQTH#IW z-LDDlGgXU#vy4^IuPVNNN^&8 zx&Y30tm=e#a?$!_d%O_8>ADK_uf=wX|J-N9V_*4Fej-*P9^JPu;+OBPUB+|a%O~hp z7cB&?e)PkB!k5mc`7L-H`LxShM7e%h>+SFn10G=?kYn@&H!ij-_g%zWwhw%Cmalak z*A;J&&yR;G{>QI-IvwX3;KPfo1vef?2RY7i6r(stE+F3fk3h%833}dDm8*e^E5ooZ zMD@?`=eJ6LThG1yonFSArhe0Z#`%Gt+0zpJE=d5Fe|!K}`d}^SPmCpAwjg}i!GXv# zTi6?1x2FBa9A4n-^k!iVoZ}bJ@Qiao@{^gcx zxG$J+T6ZdD8r|1U4Z^wIW~6fKWb{#RQ<}!5 zANt~X&@_xfJT{;x=8=`YAL8QCNq527m4!6Fqw9}wT#fx5KCFIun#ZScSnsCiWsKL< z>x6a3CT(7carLG;7ajUwyrRNc@)<Rf&-5b5GK;RUEp!b-xQd-R;Q zucC1s6j(3nsA@9(y*?S7- zVY`6lQHQ(+S3}2OzZL6gAJ!gsz{O7oz)gwF{rjCXl3XZ*xo|;PQ2l^7{^s{I)BP7O{q>cjGFH_%SY!l)ixRXze?DL`q87PeoT!7)U8Ta zZl=?V%xUjWYTu^$>O2+s5!?4u{Qcj9i}#QuKg+hHB)#)H9S(o%5q zq}D*^!{Ro;-`q>Wxa6g86n|uUa1~e*_Yrngq0Z%;_2iSE-YfEx{(fGmHZ~`nLv)3A zh|}in)ztaRU+F%=<}}23?ThYx92X%+vA$%L?3j1HuN>|3zxz=9ulkX`K_#q5zI-9{ z>QoH$GAQ$M*Ds%akn|q;!P(x{!$(|8ED2=pH1xG10Yp1Dmpxau@w5ctpKXk0Vs{gMqIT+%C5&qKc;58`{eFPniy zraLZbwF0+$7Gb=+{n8bVn}^llqpGh$oh$#CAjg%VdSL1pxcPdl5A->{)okQ5IIIJFZdXN|?1$BeQ*_yi z=O%T^7kc%3W8`1%cuD*A@knr+uPy1rdo4&#_1BE*)~-&$yr|=KFfV2p-H%vkA^5QG z{gyht%tZTuu=M^McuSocP7Q!<;{_+Xi_SyZnhi zKMEgtoSw5}d~wHXn!F#S9k&?I9cDpE=tW9l z#4l(2BcCE>3-spRswc4(mdWNQ4gK{&p^M>(!SJ;B)&`u~-#I~C^##V3HPZ}k4wZdyLq=~?nJaM`2@ z_CtN;pn^{}AJTsx0&Zm~?1$>EBK^2n3*oTG3_>NwwTx2W_ZsJcO zeqMaAc6u3Jmh^``!F9<-D;&4eeUJwwDkJ~WckVprV~!7mUY)y!x)r`7dN{rQ5Dado zE+hY&Nm!5KEXA4nk4bPgwiE70HoQOl*1w4{+NVb|ML&VC3n$tx~kX+ zT(ql3>-V-d>OuP*2A36A(EMiq(+B>AH<8cKMd0GnI-Z;wkM7tS{i>5ADGv|6;oK#9 zhCt7!-A2D=T&Y=3&$7|Fvq{IGmyvj$;b9&V;q$30`IMz~YAOfeJSq3q09QK}LeEN7z`9U-+k=Y(~axM5d&r2m{m`a2z`!RPS;aDML+xO}*X@?U2Kxa^b}@u=aUQ=Q&)`jdQe z1Y@5Rg*J|HTo-+adN89Z(mwFK-&QY||BCaWSCweKL}-J-PA?8q-HLr_|37_JIKXi= zuqNqqjK%t5`TQdsH_1U1PlcA?eASPLUp%Y>E_!wW*M1eDXFcM`=VB%7KjLD;t}Y&% z@fo;z7fO75pAn9;iL=RPaty7zTt9~(o^2i&mzq)#>q5=AgY{x^7NGI2&4+a)PG6k^ z|GjDZj87d}FZ%}JoS=K|CjS$P@|o_tLC)X&<^j%s4J3WNC(3cLv_813djb85tabby zXQ!HwPk~>tuI`DGBO%*N?srPyiLd&2Yx;6cRzR1-s7de zt{mqNIzVqD)6Tu`BcmPHJ*i*4WGZ~jm1!fBQ#q6Vh=-N+r+JSITj035eS~~UEQOx0 z?5CZNi5v^A->d~^aWU{`T^oS2&riUG_X+G*Z0dE&!)i`N(TjSG>%6aN8_8 z$Z;!a-xgEoc~jm|0~{A87<|lGde3ZImB7AgZycw7?_1P^*;F+ian6_kE_?3AeMD9t zywGvhIuCpVFM)cK$KNkYc06Jb<-va>eAJDiqa5dzZo-F82*kXoi))gck629S3SsFz zx%TRh3E{!)xQ$GFQ_`>H<9r&m}E6{nSU)}l8SM??Rzgb8h@-W)zb?9Bv|MffK z6ypW@<;g!oZ)*MuAHL>RsPkbp)8=>GHpFj-Z;C^|`DT#M8~VSnP8_fV`hc|i@|rH# z-&p&W3686=Z=g31Ga(*1Cr_f|cJnUsnR^oZjH)nyrQ^nbAGoaC6?tYwvafbr4?jn7 z4vWJ%Pus$TZkPVuywf$@rrmvNu6 z5l`Tw8jk>%o!a1BDxdsG{=xKK+HQP49dRDm2`)>Vqxhe9AL#sfU8)~FvIyn*mpsdz zUT3A>m9ZUO7T-OpBYycZJ>s#0={<(nXHfqpfquth<`%|yS*3}T=go^KPG5>&x5*mf z{A8_B6wiy%6o2A2aMQjgIA1daTt}Y`b$W4cG5XcnqLF9&B7PZoaq_W)UsL|?|0fv! zp0t08ltbWpP%QQb;Z4sS{Lv0@zFnbTyY&V7HOJE4i~bgi^~;-QqxsGBl=P>%g*ktF zlFnWF?)Ts}ye7_F`qxa*i_cvVzbWX6eN4|xTkmo7{?nX#9-Qp*aI!y*cgS_rnPb4}U)0Zu^O*7uCV$T?G>=11 z2D*Ov}mA3C)yoK|Rlyq)nqkn+E z35$hZHF!aBs{T}0rQfVYocDdm|MzvML*921&LM2$5O5WL0$jv@o`E>GjwZf=-ixY1 z0_P}sdos8k)*11e*bOtCUZf8L=lO1cGckRl$OeQgo#;xunN zg6qo>bYE!R3G;3)Q{9S*$Kb;=Y@6ovYG%=I36-KT9Ar{_EAd70ICN9*E72|vg6+s72=`pxh$9XeHXKI&XI^lQ#MBmcI| zr@^Pic=8`R8S6skp>vo1Ybdzdc$>!M5u==s_)wSf*&`Y8*p&5HM|vQmaa9mq&dkFSUtq{Mhn-%ekkPN}ess3_vA8_uy26&H57u8$#o;%VXq zi$prE-n0QX8(V?fLyeX?&ax8M*JH51v5O<{9#y@featp*32utq8S0fP*G(_OM=kXL z=Me`39cO20UozF2fZJ1LsGe8X!?^f&LBv;A!THnV`vu%iYlpfOM>E7aAK9Ar6SHOy z>Qk3}M*9_O0=?N^0G$6(HOlGL)7;>!kvF(_ltk}sUY(`!&g}|rwua(kpixA*^K@#-pXtrg^Zd^lX->}2KqkZOni6!9G8$&OS z94G&g58@ox#r(ic^{UXb+)3CcRRRZRh3I{?zWf^Vt^x~z+sw707eR}0J~3J7exy3m zdBfg+guI!j^gf48h(jJ^fl8y?c=ZW-f1*2YOXI`ax_Cs_BFGP)mAairrmz8CJ_s@!(khePg+cieodO81)&W#Ok1t18Du>#MZ?&ZOUanDGB# z{})Mz;lnfELtIQ=#&fY1$=V}oM-GxOYw*OMW3}7 zP4!CE%eAK|zVE%EXLXPGI?j&K@BfUkSTFkf&ls=R(GLBp9)DoHuyvb)UBCQ;L44XP z0{*Q1g{IDjPo&=ks#6cKFEPJ)$b*i4NO3Ih3xCdQ(K+f<6y;%MDfp`rg~Oe{EE<6L zOv8h?POJV?92aGFf~zEI=UcPS0Y6k6@yPaX;V-s#!uucDB@x`TUITwQerI^{{{Z1= B+x-9l literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/6.npy b/MP_Data/pose1/11/6.npy new file mode 100644 index 0000000000000000000000000000000000000000..377ac26606ba9790eccd1585eb53b4d443a54bf5 GIT binary patch literal 13424 zcmeI2_kWH_)W(O!Dyz5E*61ZHu~;lJdKWEvnIO@F=q)Bq4)xr?_Z}v6<)!AWZ>99-++E20|)v!-rRTi7{4?=X0Y!lzqHR4J!{vlQKeE9K8^ox z|FSd2c;>4QyxjH6l>~P+M~^;=bDv|s{OvyLp1mKst0+G2y1T06We?GQ_A}b$mVV^!<00qJZp%=+*`I#@3QzQ}-pxikKlb^7^OxDu`~UV>lDnT( zS&w#8ITh`?AhokY?a^+!?MJ)JO!u3{)UKXhME_>@42)0A9-ZL)?QrU!jhk}c`HK$G zH2&~}ORk+)ru)T^AdFANwz}hI7b*Ulo-+wZ-l{&SQ?ySTXSzH1k&)7v}ud+P2J zwTn<5vvxb{+Eu6Y{CNCy*R|VMPml+($TQBhv&8iL+`stTwVNisFWptN8@bQ58~@*v z-Di2=$Ypoc4|6KO@E= zD~LC)UG8a1_cd;hdFI12y>s`o1*xae9=YwF`)n`QzUi*=VIz!#mD-i!+STsoFB~`7 zGEm%8OW=MHvipK-m#v0Ve{V+r30?BoJMJo;9eV59)u}RcUvNwKs2OWg(B7l^N!KoO zeuaGLhV_wm*{oEeYu9btAb$HPKkip~zW&Q`RW}pHFUth&arg7uUqT!=-T%aWa>ajd z+-J+b-|MdOZp1uyWjR|vaaaEC|V8 zhj#Y#?JL)=kAJ~Du+mXzxA%)vURFOV^+%n$qTcvM^(){);4|734Dy)Esz)^S^;7`Q1g6Z6U! z_$_jrPrFU^T{jcz#s0Ddd9zO8#=q>CA`J8IG&>r@-0W zsaRJ$d0;>A9aRvIc-;Yckp7vF2i20exiyRUq<~)BgR`VR z!A(fPxsIEsp5SUwp}SsASEgTt3D;(YYj^!a*Qoz~lvdTSh4KRv^EMfE!1wr1vKj+@fsP^Us2LVk3}YweZBdCIZ0N3R`Ay{C=4lSj|Jn8q_4Pa!++=7+`mh`AonB<>3$AKp2N!ksj)VV{ zTJY!hGLX-}u-@=bjVJxh+n7hY|GxooX+HMmdvF$e16(B3_i zUX34yys0sM@Ua~muXWsBd;-o()g=C|%v{IW`!DdZ3*u4#@>r8;&R_0+j(*wrj8s2s z;-kRTdx~e+3UKay5%pkhZU?tTyopb*wb1GL<4|z^;|6e@_0Ku*S$7)T6gx<~{6wms zkPYCn=xuOwyx>gewIKbc^;DmSzZwhwPlP&Ziw08&*Nje=mVLvD3B%Ic}2Lft&a~#9s{=<+#qg z7xQRV#a#7D`)uvBrS8gmhQVLF91Oksaxv8DrB6lb_tP8lX&=%B`Y{DaU#UFu$(kmP zaC(tS{#JN`n`)ysJG~gWoP0L?Nc(Dyo0xYl{{UwTdw~nznhTweY10*47bs0WcaI=` zzH>OZ-I5cWZ)`W->6LdSj8`B2a?SO}Kh*JdoSzJU-uTvnziQM2{j&O*!R5WeG~N>x zFsjgo(nG&=1UiUNBZk=R1Zd<0jigAqTkvX| zm2nyQ2{>yN1x#gRg7;oQJ;Oz99+g@opw)b!HndOUmV0$Z2-R3^I z!?o*9#qr#fr)VB!mfK6=(;(fyX-4uNlViH$I%hci`3j0tY%Pd+6hr<5mkn2vf5I}X zJ3c4`Ts2(;F0Umb9`%amOMjk9^)oRFdi`rT@?SL@`;t!h6Z@)ca~1V3zR!kw;HfoG zSN2U`>UY;ua237?^Q*JvCH-%^u)cWF&Ed$02km3Bz%r~O+1s-6-^ ziEg}VA+2}&=sC?x)kZ;O~2Xhe3VGv$8Pu#pVNJii<33& zMsZ$wPxYCtALd`8Pkg5|E}aR=VQlAL%*ubMq0mDlDD~j zMgMlB-xy8vn=2mq=P7%MKS-kZU)+vCJo9^@U;STL*n&yt%4Y|PiW=`Xhi8H`c_n}{Y{U+seV75izM{hu{u4cRn-_Xoc}K9Z-~DRgPX0-{lV)ug5GZ2Li%1s0v)#tPhwnF zbO)E&CSqOaZ#eW~Mgwr2;NuIQIj<2vi{Yd%^}L?rI{qZ(GoCn~zc!!a;@C>!e+lTt z)ah-|@5briddYC|kB=A#{hBU_hu{4R=MepMy-kjrW^A&c7)=k5r3_(3@_F@KGI}L$B)Q zpnl8E3Uhi9xfk)Mz2z~F@>F;j;z`H?y*{@VTy^>hdDb22oM{q0s2-l&p8}t&pDF)C zB-WjAX>lo>O85eczFf3t(Na;+5!p(uek2 zb+;p}_kkhwy?f^o_=xsv!Ohy*c+T37be`eUs$sk`>k6EsL?QZ~B|fB3zaMhZIbj~n zqa6JP+;|?Nb70kh@Yio1f(y&A58LSS;PUMZaGPiHbeCtf*c0<5%eBCG#Wz=wPdzyO z9M!A=^2yuZ!~Cjkv~QcHHIaW+u4@;UANDJKFHlWeQ$5U_J_z$Qc`n8C;2y=ZuMYZU zKUYD&#_KFNTXSNT(_5ePdF(*@q4<92WEZEYG!s51=pypNUwnr;u^qq0{OX|l6lY9{ zl}^uV(tO$M6Tx+6&&7_*@t-LVrQ1@S1Y?C0u_YT&F!IM$ub za1r%sGSl~BR)0MCtC^!*{A&Mh%3H1_(5nrJ6EWW8OyqN=Ce35}3)uff_1Vy~sIV@g@34dHVJx>Og_5Lxbe=PJ)`r0=qE6b`b}lTZ#KqayfWtljEntIc%{?xL^@ZS zy5G{i_rwqNpnpCHy~#0w@*qOiIK64vnRwj`*oWnu%@~)tMb91eA{tzeY8c@3dNn=Q z)YRqR;>?af$L*B~h+j=U46Zh38S1z&Ex>I#hIJ$+x5xorhl6v!ci{SmyrEucdNyV# z<)`)@j92Oe>{qN|N9bkPVbnQmq;SrWq4d1q1MX1$_n+1iJ{4%b`1n)creI($*RSnJ z?-O*F#o%)5_L5F-?=+))*6T|CzPTDXE_w|H=P!$qPp=-W9p`U5Ax>L39&wtQS$8_F z^V9ncU8pJYZ)#Ux80YkQ59PT^R~lFUUza$prk@AbJMPfDl#Ru_=q67oo*NuKY|oh( zr?-vIfwP!*r1uI1*TbSnpO=0oQ2(x={rL&KcM|74;KO&0S?zpu7y3TS&$J<)>BdsT zv(^_rs@z)4i<#LOb<2Fy>nip*&0~|RExgiv%td++AV<>q#12Vt!y4iFqFziRec1%cXQz#e(QgcmON`Bc{gCau zSpvL8Yv^_R(xfjQyU20#I?H496BP`uGM3y5eWyLp^Gg%J#kpKD;QBwrFLJa%9m-{@ zOq`4Jcz(kvUO>Y-ACm-)? zh@aKptexHzXa%kY2pX5)l(mklGU4#CgPPEM1q4MnAMHCEdQl^h_J=0fdpW&0zXhBJ z#*qK@E*P&Kw3+lr+k=aoPw06xbSC^|m(tYlko%$VKi2?yJB!|X$muayzv4zN8ke|! z&FSpLBp-K`vNOeb`Zc&L^9|MEtPS91?VBr3XO?|j2mhp|@Mo90VO+e?$0>0x{@W5#+CpsB=-a2?#T$+!Gpx@`&`k~+^_4+8s#oHw4#plhJU4Nob$#C== zF$4XoBYUvV$f>uNI&O-eqkhZ3MxJG_-2SB3(3^x5`0IsrmpCrhA0?jx6N$&~!Sl}e z_`-+z)kPlEwZ;qM()4!w0&sb-HRb=y9XbzG-wSSX4+J+NS~RoV~LchD&$RD~Q&fXWuC&wZ9$juvuI3MYI7F-{r_rU7Z-M8*{E3rEeT(19v>iI-C zo+B*VGV))lD9+LqCL#W*6Ue_uIJiCdIRtSo=>#tNMS?5)gx;GC97TM24V=ehZKdF| zdjvSU6+`Pft^~e!@X#UP`cN})bznH2gSI@?o2o$XS8euks6*MkH}vZ5X^Q9JdDIDe zz7CwHY@>K;=b4B&Be#Kz+ms((^8of4K4U*|Zwoyy=A)dRHT#`-$=npr1rO+%*JE(` zd`s z@6fK$>n#&8@8Y}13mi8mR#H3>O~84j71JHJ0h9-Q&IjDoISIXLdK7y0!Q-Y^nob`} z?%=MhMPAgco)8KyJ!awjtOoxKy?GQ#>u&qcm|q*;mGo^ZV_k?Z2s=|2|h+B|F65B{U*yrF0A#Pg0lyED&m)$IV{VcY9rpVzII6YfP&p{Dr$)~}*DTpWF z0L7DMC-H&@106T}!@#W!Bwi)j*Ks+lEb%>OC_n2;V4X6*H|W>;+(kX8lq{>^zjrmb zs(+gDP&L<5@J95$OH3_C^%gvAbzGW1e>M;PqIn>EY`aIukG!7kvAa)vqH`D9v}KR` zY-0LQJfFOb&O5C_K2_vyf9EeZ^rSd@S3~?JA|=Y{RnNK5t3x@Ux38K- zIlZcypZdKKi#X+^cGPc0+Lw6cLGV#)!ouLAXnw__1GFyYm0JOyz1z{RJ`_!LJ1%i0 z^trcy^P=9gzm*!d-f>a9B>L5ZzD7K}YQAmY^^(Y^*h$)#A`js?t{yx9SGW2h&&uz` zMyI!NDHxYoyd391>-k`W-U+kEN z@!EX*=sC5H&LO5L{k~v#KA7qJb?-;;*UQ487v1L3d8Q1lUvv06#a}(3pYxZ3>W3#5 zLOl9HzBTYkSwnF?Z*1LXb){4Qcu^0;!|H9oxOk~%m`B;fpYl+lF!6oK$g_z$Og^n< z(tHiriF3Y;UP64wBye-4GtS%m1U)xp#nIqw$B;1BuShlIKW82CY|6G;GVF+MqWn#?bBMsJwBtJ#jaY|&qbdN@Uh3U z(>xw&Jj(UU#?kjR@pc3~A4@geigA^m0=-^RAMwjM*-$^`Ra=U)`!1|^vvL{UPuec@ zJEdDLb zaTUB2dUZA*;xr!^&I#(>YT}vtf!l3E!=0Y@-vMs2C4q|*eI`0C*2IB}OmxmM3GHyc z;yEvZvm2r4mnCN(2*h8i2LO)?2anIp2-n)|{ zy_`O06ZrGRC6G6@fKPXN`;5Nt*c}CsXI0mGjMJ+Ce~RZ-NpPM&33bbx?IE9uL5N44 zZ{p{CjNc#VS9?98y4u!nIr?o>0eU^82>CoN9q9CGKAk6Ro&eMdi`|WJvHc$Dank<< ziLCL9;Qw|U#j}BaPt@@raem`P=s9J2Ux1HURco5li#eW%#|~|e{OfV$C%Aa*bIPZl zl%Mv!b0<1GJ^SS==vn=Lp;uLk^mcj?+lKO4@E@!TbwAACaXuk8xOuV_J}h^?V$MhX zIGKDFJpz{$vXNvPTDV@Mg#rc>Qk#RBROV)h}&VA|sZsq)H8u5I)09@Q$0=@Q} zHs5g-lmqKUM6RW}I-0l%{?F?|ZwF1MlI zi*2F8wExdcA6Gy_=-Fp~%r9FXj`0dpi27}FaJ-9$A4>mTb0hut&GzrGenp{NG>>iR z|J7~ay1f{0p_P=krSyBW+O>h!QG^e;Zd3#FD15$P-SJlgiJ#twd692IR>irz4Q&lB z7i2}9+w${PI&Kr`{f}LL33}eD+X~0|M|z)N*3o-NcBBmLpP8G&N6aWp>uA*g^6%IH zoL#C*e9tSKhjngx9_d2kX07(H+;;l1`E7goRxgQ)xD=wZ^?x*k7-T+|M!0}1CJlkzC7dXeODjmzp^3jy$3(E z40S2`zp#$$;H~&x$=*xaH`x{J&pK+w09S9i=|&Y6b&mW|DX=es^d@3VARD*5HB z53VAA$7gf38T5Sp__^qR$0Yd35#F>eB5GqF6WwYH0*+WeC0Z<^`cs$Kq-K2?=cAe0afA;P$%> zSVtl_AkcB$;Tk;;s?l>q^G$d^!2T`+UtRVJ+V#c!$d4@kJGhAVhQE$_Hp%(0T0s;~ z%PR1 zHL_XFdc5YyiN5~6L%h8v`VJpqd8Z-c{YGSRztKZ{Mr7XCa%2)LOXx* zE8014hIX@v+GWvi??C75X0)3PP0%h=sGYs+0RQ4oKWg{*?UvPdzGSr*yLc1NZ;nPg z^Iwg2QHO)fG3azN#OKcIVuw z)3#k#rsqZdF!WDHHoAg1#x}lb+j&G*d*EmIS1Vl5&btq|f#(yb-DLPbu+Op4`JiJ~ zWIKg+nbkiN_^)l}iT9BQ>9%^mZ8y)UU58(KY};j$$5YtNj@fD3bxhqy_FkMgdDdQa zrDCuXau57Fdt9D?FHm?+1pe^G-kU9fM^iJe&Ue?*Z!;#G#(hHo`XMg9er4NPp8!0k z(??;PWye=<@q9&*hUZIFb?m+KJQ&Z*+zHq0y}UH^t!-yNeS_!a_3v^<9;hx$=G4eeT%-)OnK_#q1R z^+w#YSH6D7XIxLOU7VVE?_8VVX7BaEe(@5;(?b*&(RDaFZp0{>RACC~r#oG+BPn>?na(TR>o8`{C z=G3qDgOCUI#WNOsB5}1RhVsLEL|d+MQr^__wZvQJLY(@1OX}CEGvKDp<@wg0{niFt zh2+OPPy-uAT5f8!CHsRv5vd&>3}( z?0a0mIGSdqJX38vF8L5Y-*KKe4`^*U=PO|ERC)`pEhHb3=39IAx(M`T`bpHk@+lo?^_}h?$!|gd)QQ|x2J_Bw$%XMX@hhpW7S%;P zXm?rQZ!>_zz+s5iEJGdSOL9h`4HFvr@n z&)vyBWEIt0=ed&+XU7~=pQRokerIY?tONQB%{wQoA2{3ip7`i$l>aLGF)qS)-!S(~ zd2?Va^yT9^nD4sR;HmI?Ac*{~ent7&cs$l}88sDLl}QHY-BPH(-;JSh{Pd8x=fnYs zv(F3CS+X4ZYSdxWztdqO>_u1}#G^XwfL}i4XNvP{XK)#OYdCZ=j$#~ntrh3oZ5+cN zF0xlGW1w&54JMtyu|d{eS8WE)J>G+hC2gg(cbZoQXX9&7J_r2iW9`j}Q&c}m9l(uO z*|pZ*j7uT?obH&XD*86&yZmqgT(%wt&d0ZihTo48TzOW6j>zrhYdPOCnf#Wabw}C#E^-$6I}+vs3;%wSv8=^D)G7`PVgY?ouCl)(QE>S{{ABwMb(=CE>@SO@jB}sVC~hL5aLHU@ra+12R2|jIP?8NetjQJ zwf55c7`UqZ33Y2a#w9?f)pl@a;5pcfe#=5F=i9G>^TP*8=j7*b%Y{c?%tw*@C)s~3 zhXMr^&sMR{@p-)RUYW@?#<_-zhhT{tCI~Vo-TgK zzw%22XV-><>!E94FFN-J7mYsR{LOasn}dE8nvQzl6RB=Z@tru=@mh7!FQ-I*jH4NF zBi`DxM~les7#bJ0I8s?I??r-}?)l)CWz@hpnm%-%(H&ROyvv)4{P6a%u;;CpfUAZL z5RYtigLDEy$UgUK*gGYffIBy0ur4vrk$&(y_ZHQ^Pcf>8@=24>uO>dEzwiaPdJ&5A z1Aku?_Hy)Qybq|YFXy^v#?SN8I_CU5AM;4L_8(=rDjZMx1r}i5IUAm1eb8rSK%cdI zg#L=V*O3R+U?#Z!5(|6X_b}Dr4}-zwy!&5@*rG1!z^bHy`WQ236_i0Bd8Po`+V9L7CnfvI{K^|^mPqC8kY+X z0-)cP&JQvzk>b4I)y8r)^$x`|U?jMck+-ka*Ck!ySBxqSE_+?{u-wcaLh<~%7jeoL zJBL^vNjdBQ8=sCtpPTa#z%R>zCio55La%aj-XQ%LReEmPDPaLEoX? z^q&>5--*yE(AQ7)Q~Xh1uusW234N6oKzS?OX@k{qp3S9r61~8Am%oPEI91!x;H+$R z=(8?IW?Ifi45qw!7#f#BN0il34HIC`r}Uusw>`qV``T|JC|Y{==5iIuq5E;=k=qdEnuJ)}CFVI%GqKQ$5V96=(Hyh24lplzk4rtYq>C z_=&wsaYntNc#=vFvYbcKxyYonL;TM3Xv|+H=>d)JmNLk*EY&m;`U~j%!2TSH_*K76 zeNr=ZZNz6D@VA`hyh8n& z)E``a4g1w{Gr0lm`T6$Xs!mRK)-YvC;OT2x>+t8)47FR z72wXKdC0T+E)w=U#2ehi7NR&;jiq=BfBeTjFW#?ChR&-**sB{3>_wyAli)X+-pkms z0yHjHBd{+R7dk)aAH%`fUuSV{7faV6epRF@>PqCT5u2Lnhu42V`T5!q_UcyU7|Zoo zdcSkp6@=f+_Y69RtU5;Hn9r5Qv2>H!HXhNpEOg9<)!@$Ap<^u9cd1Uq?7A37r}|8+ z8)`@?=&%7kbgnp(w9?wk<2^{H!3_A-6GG8n`FR((yqu zm{n=mH|4t1uy>Yr1Xt;vh=-lZIv+NRBl}AY7Npwz?A}iCoUe`kid`2%EoX&(1vhoy z!>@7QiTvistX_wv^|Vz0qG2 z{v7+DDD^w+b&Zb5r&BvQ*v6wb(7J7IH>Ytw`P9qi$K)JI`c?W859Cy+@15b@3kI?29LzO6gP&KQxDqdRhwOtFqmp z^=<#UL>s3Zd5!G70>O2Q#8}IXTOru9-+P0bK|}EVYo0EJy*~Lj)_>E@L_uf#_pmn+ zYf-miP>;Em>$2^^h3`GYqpOC8S+3lkKt~k$0xp|f#5juM#lg*=AXOG;; zZ@>b~JCo53>$WLM>ymSCD)slla(`>jKN;jr#U#-@{aR%jbT-j@lbO{DbAn!eoyJT1BOY;k`*8Qn zc;s6;hd2RW!BvU!y{(Q+xJiD;()%V;k%OQg@)`4sf2e_RmqFvBtqxlg3wzyT0?n6w z`6gQK{C%42ThV)msp!7ka`ne^*vr$Epd;FkK%I#EbRKXXe~)q0*{5T?oP@0Tm2nsS z;&&e>+IU3iI2x~W6)FEA{ZJ3=?n!X9bt>hdN0a5S|3c?0QRFXLhl>nrX1Vh-?K@&) zB)ASt8DY8HL+c@bI3L_(|1{2WGkh-MSJSqDvzbFB_^|<$x5Mwi<@2(=-81cV%WuKO zluwvnCfBhL%h@@F{IIeI(O=cI@Jh?2&rsOw(}z*#Vo#09mW#k7(($AD!Z!^YYB`Ug z_X0EeEbMugYXaP>8uDOVmV>jKKJB3Mvj^p;?GSKhVld(~$#f2sDK)@#+f^Rc-nfiI zoO(?L;uIbgHd!va)B2#6c18YWa=qwO8>cu(exnD{IF=l+&~moxUvPfp8pcH_Z;XqY z@c~>%RfCS>wJFKk^JDZr>m2+Dd+~lSxahDN_AGuH+4~;AdnMma-<|aP`r!Op-(}FL zMDMLmv);s)rPH}?~rG;Y{w!Sr>W894*YMXby&N_ z;~eFL^u>Cmey)l5&HYozr#y5U_D*R2^Y%IMd)hjCRr!ySeUWEWZ;g^>q5aTXaNUtO zi+UJjxy)6abhgtuMCDo#X1R&}30!~q6*~Hx=xFG7N`j8V&Vh?7wV^`$)EVszGb%Vn-uH`G`k_+`WHV|~`qjbl2zw{|0_G7f8>6kg(EY$o$9CXs<=_?Yn>!Xd%A+HVOUV-p ztd5Lb1baR83F=n#SQ+grvoxSw_s}l-fe9ezkCn8@x%&z7DX!g}W9|8eBjAGHguOc67Uu_6m+KGJfBdZtLc75zJ>>ZyMc)xSD*YUC3 ze7}jt<=zMAJCiOfguT}(aFZSk&OKkQfS=pm(9u6p{Tr9~=+sOdwtOkLDNMg#$P#gM zZvW>1@k$dY|Neb~VBaO2;&H2jJhRhFP;bulC*Z8_D%i{5JzcC{=K3$V9J~jdwLk4` zbwtz^aJ_0F@y}D-!Een1H&4?j&(8v}kBEN1fs00TK3CxJVYv)PubZD&ZQYazs={gcVQ$ZK#@Y%bPGIb_CUTPw;)Zq`Q zZq2q0rbW2P~_7L-GTFl zIy98{Pjg{!>YqoR)d2dx9DeUU{HkKbho)M;)qP>Fqx~_jO{I4|mT@k>Yi!Xt=uc5Z>aa%qV31J5@b_WIpJte^UAd<^1`^P@PAN6~%} z*VD(wBi1YdcVc~!H>ZHJ&~pCtKj?@$TVXHvHqcf_JL|xC+8*K=eV}h%O(6UFpTN!1 ziDA}WzM_4QHGBci8swY-e(e~=ldzw3xWAv}yj?7~^b7*$X|IP_&hCCoalSuG=Yhlj zgr#O;@gN)3ZLim;2ia%MQs{qNPjS|z-<`RePrT*MxDL?K-_@r2G`*Ku9kwHp;yE)5 zI%4?RN#HwOpzoAe1i#{Q)E`!dd5ouc!kbY1JF|OO&L8auXXzV|PhC=DJ?9n2P<}SF zg^p>{FwWWwpT)43153f)l=wE*`qgDC!LK}U6mjz1+2B{_qjk^8I~6)?OovdbBfp{X zWxu2%em(d}g4HqA=>JQ^-&;_(&N`n&*kAb*@u(SNu)diR8&+Cw*3>1x#j7G7@pNB` z<*d&$ia+HBtv|n)g1wmW9NeV%qTWRBoXOUnm&^e!>(X~By~WK7d`oM}bG>fpml$3z zKGpg?P4(a`y^r{L#X~vPaBU*NtZSCc()uewW0^A(ThI5zM8v!m) zQNJ9|I-#(Cl}7r#Hc_6Z#i7pm%2lK@w=nhhWew=7hFN~w-GaR;`7h36sw`hY+ebe*~>3`iAhJKxHNql{7=(85XA}rShb0KePEB&4;yVc!-IPW%vy(%>p z_G)%htYcy+jV~|P0Q(LPUo<;4Q%AgrNBpMhebk$bamn^ zUn?;W@v!yXD1Pso7#H4Z5V)MR6Z74veGBIwdHWr>YFG;Tvf)eQSyZcq{K%7msB`^W z2=sY$H0dP&fjZ>*kK$Zmie#-nqqBZT9x20+pG7pjrWSn{RTclidk3Gr9y)p){r>Ct z`Qw}^g0s#En{T3DazOb&tHTCoz1O70!!N5af4t>L_qPZbJ6f6cl(k?xuLISNSVZ z-KMMzu=Xq>fb56TcS|+%J@U!j4pKbf^!_C}9YH*7-Fd_#kN$_c60b%rwmQnY3GB_r ziqIG3l5w6?wJs5VOZDS)E{lCoS7`yxXO2gl+%$`^{W2-R#A__2bv0@OoqM0rII6~{ zQHOHCgCJ|~#I~XQEE$aabD#Ry*F?WZ&~bKU{Vp&mdI0Pn6otLM_nF4432Te^PYeWS zk|CdLN-^w%JdV~q)pIwv95F~(9kDT-{Kmf{dzX+vtD~{=z81usHJrZQ?<W>0&p10uH@^qnL0-O^e45aVT1B>5ejgnD3Go6WF(O=&tm z=q{}>E^6*C%Pr>zlVHy#t%JSZVPV)j& zZ9MEConws)eMi+7JOjXMltY}x{Ww|l>n&7=A|My74_+CVM`GPD=<9vWF^+Qo zF3daCDeIivVlT#pMGak=nyDi{_owl43PDFtnYzSsrxm?t@hS9OMMt_PTFx%gx@xvI zqj^y(5bGp+M(dK3T8?yb_k_M`-xd0*g`hYOe#Cj0xlRPm|2^XA-i^j9Cx^W*bP?;MI7II$Dv7>VbGOm>-e|k<|9}7Y zGGJ=cexnNgaML}r`|`p2Q2f95ny)k;F7>=&IrsQ}x~(g5ejU|!gUeXw)&75GfQOZ! z_4Mf)>@Q+7eIGD!L%^L&8Mx}Rt3s?j+Y|+Tr{5=9pZ$NIW&Nm*_sDPgS@0vx)uNU= zjmOh{vvO#caovKfjx6_q;yL&q)&bM*`}xpcyaDr^%{WH-N%j1#j(PeLT&;Nz9sMfZ z4LUA?xHpr2ru9MWm4&YbuA~DjH0Oj#Km##Z%r5&#_H^V%^|H(`la1q5sEI6)w-T`l`rLaI?8P@~H~a i_Z-;FP-Z=?K7sfq7D;!p?DT{0Ga^ykd~WBeao-qgGR literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/8.npy b/MP_Data/pose1/11/8.npy new file mode 100644 index 0000000000000000000000000000000000000000..651d4aba3dffb7dc5f7a9b52ac73a88a0da73136 GIT binary patch literal 13424 zcmeI2=UY}sw8ckaMU9PM?8m6FMq@9ij1^-q*uXM~qOqZ1FEA*eASgvatOKz|jXi2C zOw`z8LF{cTvBch6)XS{RUvR(P>zDJqzgcI^o<03YV&|Tny7tY%Ca|fM2M-DM531b6 zsoXT6QRNy=<$%DTaY25g2L=WW9%6Z0zmdU1vUu70c;&XIeKt$GV4t$e>pSW8cj}j?;N{2Ou}>$DIEQlg*SBrC-0~UaDsKkLd53V6 zn}p{mSBX^4JsSRl_gb%|@&!++JdMglN+;AWz8ZjXT_%vq-%+{qlveYS8a%9R*} za#o1q6T8Qt+;}cPIcrAm^ZME4=U$?I{Yxm?$LfDPZ{t@YJHCY9Zd!lUKMv(4?(u0` z&Pvn!`fL>1r$>Ev1-jh%ZrO4(E8E}Ih2pR8f^sv)^CsR;qH>ud_;EtHnl0yU|H4PPzukxTzfifFe)W+pS7+Kju}`+6)gQLpOqub}{&wyZJBw%I z9?%(4jq1Pb{n&DTeGJ|+Wy`#Vu2zqu=~fg8^u_b8Z>sF<09u`dA8JbPuPQ}PwGZ#})oGcwoIP1e z9?J^R!f zW_+?wR`O1Ade(zGU25aEn-|)xyU#(nxu18lS#%tK5m$sY@J$oHKvwNXj z^jUWm^?rTmo-OBRe#iJX(Rp(6tlxqy-(bsC-lgwtxj5{Pc(^W!a`qu&M|u{Q|2FuD z@;yx{&v7N;t4qcw+Hzi`F1RC}qyL;8g;T*_)&%D@7NcME@vaG$JDE>to*Z|(=$Z9f zzmHC_T;{4p{&Rc5N2R)@K_62Q+$6@6K5DIkK0nPPc69G~>tm|VnrpcjAA#}f#GD0p zt~?C3<>eWZbV|_3;Z-ztv;1#&Z+>mK?yz~4>%T4DC;L=T=0WUVh&vL%BIpUG+ zhawLm^AOr4z9p_UECFYKZHR-o{HwF|_%g@DUTt-zhKg=rpS z{t*iw)t2fV-WOb6@`gWq?FDY8{|e43RGA0=oTPUmTVh<8I-_S=&fe4^ePB!Ui+c8X zndR~^0~fyS!Nq)&gnApy!Z>5Sjv_yD(q`qEr8j?;L4NqTmYDbQ+v0UCSA`!U|Egdg zaQ%DTZ>^6A-3e~y_Xl@woakuvB1iVRy~iD#-|jdbJ~zC`f1(?>iLB#mxeUvs{ylsR z{U{6h4z~Vgxhv^kUIAyVuJ^K>ze>4 zL%njvIqiuLQ5x%y^R*lN^|TC(f04Rwy7gCwKZ84Ci({O~JS!6|cSJrK4~=M^i^3@w4}9A` z(w`Xsz4po*Z}oCdBKcq20M57diH6VpOT_CQA^+mJF^_oet>C=#9dNZEA=2vg?rz|6 z&Pp1e*L{L5XALMG9sG{w?-Ez618U1B=+%WG;LccvdCiwqK%RAv{nU?3QoKF0Y|OaP z(3?tiG2flY7n7~O37bW{{b%^-p_#}7D-c5QxNZjLe;-DB#iNnrfB6~3)9tpe^%1S# zkp9^Q_{&8fmRs)ltcRX^7C=0F#?tAQtHA!mf9^zlz~<4=w>p4+bjq(d>zSqFC-NrQ zr_(Gu&tnHsyB3edywhJbp?a@>0oUV7bjN!wD}uA*m1+JK?l2Pm4Nk+KwQCM8O83Hk zWL|89UWfdIc`CiG(K_INmHcOq0%tvo#akcd<4^ua%EHI-3=FiKpPd9QR=R@ArwwR4 zdpAORrTY`ica!>a2dh^bBS>GrE&NSFZ`5lsA}`61SA?tKbzvPBA#G_7bn{k36WW4>4a%zd&$)vN-aoRcw&eJ0ED=N>+h*+I4BU954-f+4>8` zlTu-V<-+@KaK|?<{GG2;QY_a4cY*7Av|pHrLD;|aQbY9)qWNpi9-VFVDy{(9>tyVP zzix4r_LrM3;Nol#>XuHYtVE8;ZaUs3-?laDIZ4_x#}0~g&3LeJdYi2K&1 z{kPB8;QHfj)GNa@?RVmLinH8%;)TbeUKX?oTt?)ldS_jXMEpLh!NpH?!JU2#`Dc5U zfvY^jh_@~|3wayr3$D8`^4}@pWA;wNc;L4hQ$9Z=(Ya^Cj}(7_!Qgz<<|OOG)-IxY zTjYShn%px4{^<$ea#wbo4L3>4^`fWX?5p44Bm5#T@0^~&*sQGXHEC6jS*ob^|A?qU41HQ&0q|cp2lYDT+h4G8IE#FS*{9x= z8(cLkM(4d*xg#tWM+cG5y}Re}+qDPj&o+bJoDTw5>D|V`=a+csncpG!Gd&yqB`U2U zer5;qCOWN7Nzd}zBOWt0 zhSu$_0{+?rQ#=KZtg}8&=@{twwV~ifbr@>n)Wb#*-;xjhs)$RdKFId z)2)x(n>~M9`B453e3NYT%xw|sWd(O!fv(d5)GH?rguhc_9p#}^8RTEyJpwK=Um$+9 z>8~Z$hX;&99{A-jtZ!=3pYyDrYCIZT6l*~DtP0B(S+1uiQoXV6h+np^k_JA!9Q5kg zVT^z6G*5<4^<~hD-3<^A7xR{Y&z?;2bj@e%Z<$%rFFori{L3K!sy*!&&cv};XXKqO zq@U)6Jg{#9LZH8Si2Rc%&w5SAMC->o?m;{z^expJJz{|6D(?e|bMPn1b4=Mz;K!(c z`NYuQ7UjTA*PkOTHv{M# zZZ2LzK4rCg@u;^ut#52+&a?KnT<0|{-9A%0A`kNR0Lo9!+a)b$CyTUAv5S@i{(}hu^wjUdW`{Flilu3g<;?z8@N=zOT=wFc*FSNvr4;)giOf1zN~@BGW( za{Xc$;$hw&a1K$Q->kCS(MzD$WA8!FTHGE1eFwUiv3ltqKGWKtZ=UFwH z7rW|*BhIG|)$9HXxY^$bdDf9MPE5WU=tog6VY>CvT}r}-=NpcB$5wqwvp&2#-4~R{ z4Ag4|2aSaP6FNu99JjHa@QeVQE9AFbF;1MLmEh0z4#c?C$FujNhV8&jYl=t84b<;! zJlZR&jY_rtdhiXzZ#F!_c|dPJj(y6sy9~~&(*0U4o=oeiFRi!y`cIfIrqBc2yVZl! z(6bxK;5;wwvnIzL@`?Qc?RDCHrgQ$9dEm0`2h_`g1EtN6`8zxQ!f%Od*D%XPi6H2m z8~4EFHXm@koc2xb6ANxaLy!l)stx5ixF_1{d>1&{wwJfuM)g+ef_$naJJ7#QdNjDG z+k*1%v%9<1t0u!pe~spgIXW-Ealf7TQ$8)Sdhzxq`HYGJHy?}52R~F8 zdbydt8>l81z}5OR=y}>DTK`|C+Zq-pR@C$dBmSli~@UO8!1q$5_4o z>mc%`#qjfh2G3*i}tcn zrMn}}{yB)}tb%^$7t&~*|1B9@)enSTUO9;M!O49N^HEmc0=;tLm)p1;*H_RpT@l>r z{c=3&t+W*JINx+fKblq55kHTh`Q^NOiFTObkbh*))7-P5 zSBG0KxBfDS?!UbH*>g4y6}!Brk-ZC=z6}^$1JD*(&`e;qi-v{xBC>2tBiKBmaAwUjgVKt zqx(>M+YJL}g{N}FvwjM=`j)=m^QQ4$mP@~p=tt*vCgNmKCvb1#FX?{7JNHEX)wJ*8 z)3fx>)+Q@xmtCb;z@c;<1-_W`o;4L)%&G3e9VcIB~~v|Zh?!nbpO>A ze8FYrTJqmCgX)c*i}l%wrSDEWe>37?O_o_7xrOen+G7AXtFad6E9kIsqw=m(#Yt&jBT_>V1@9=;ThYppo^KGp~8m9X$-aKJpGeJpSl(%hii_;4+N3baleu-?lP*xaR}th2NzJ=$j9ucvj6P zp9xLlE$63~!pHQyN^!pZ5&rDZe-!7#g_swzK!qt*?+iT#&JV2s*Uz?1u-qK4M*b;l zXdb1uoq>93~?`a>@UV87MwqQih7-qvGc87w4-{}%tBblMEL27=~-MC@+JLO z9;ClKHNomxzoK{TQ+HWJ-0wN^#{JWw7mZ?xdpuigbt)r2I6FN6I!l zf%CGo@2jS6vrzB+9pLQx0_er!ic?YV@M4J5+^B+eSnqn>-!sd{RP}*gj{67k%XyK? z>Q(-J4QX!U0vx(wYF1UB-#{1L2U1%QZoW0O4;pL6I@oviyr)rS_?ld?v z74an2g%8`8j66&CSD4qlxhuvGKhO!>hz6UiUJp;9Jgh88>r9J1_^vLVj{_Hfv;mjJ z(~uv&{4>>CYc+fv_WjR@GvFTS-RV0d-}!9^%axcy?aGKod!4f`vn)5Qc9V}AeQ%cy z!Z1$E)+6Bj@Eyue!D7SHtxw8n(hu?n=P}L3SgtQW184m=olG&h8HsXO$WYEEjK&gX@Cf6i>xD*zcU*gWb%=V=Ks1MTWK1e_O7g!0{<%jd5Ufr736aB|V zaB(&Y@$(t!r0=>9T!l58X6u!Ek5fEF=w8763rNe^)$`!&O%aN7`z*{aCzt3C3W^?`q@r{xXEUrzs(@>BV$pVg~d=g5Bv#i`$I9csDRIgI$i zSnBsJzs|E6Dbe+@o;d}b29YKrc=<1-L0@Mt5q+%+IUot3K+Mh z#A0yg-JX%)*ERI2&{`S~i?^eH&1G7bSd)5~7sA~w+3I<}b~OGoYGEE36G!)^*)_pM zau=E}|15>S)8Q%nO}A*|Q`Q`cJeZe*!F5s$^t{L0Fxy_edj!R^@(Jo?{+mWw&OCy^ zh1X=vYu+%}2l4;g0rj$C$FSe2fs11-*L4qrYZq^<^L*pRh2Uprz(@YO3woVUQd-Vm z&wySQe}?r_ANei;e8mLl`PYl!qif6`n{NFpDsa;+6nQgiPA{;WzyA+DD*Sio)#*CQ z`iKeZh==|OE)RRbUkn%n?&NksznBTVBT?_MBH+yRJ@n2u^RS+)pXnSTf1~ffGGs-N z)vFx~5RZu0&My*{|J=o;F~j=jLTstbNayx@_Jmdn`v6#vET$fs!6k>*9W;gpAJ?GV3Ma4ga4)q*9^ix%Z++}^2|XzOLq z%b;HU-+qcSs6Oh|agyS94TFz)R50B7nDrCE)w&ZD{|_#>m&rkUDG&L!VB9*Hdl#c# z&z<0+;!vz_CVKQQ;2zacuM<-N@u=m`f3=)Vc>%p_l)cWB+erI(jc4R@GzfVXjrA(4 z=d7=h;xblw&(`cS)ye8hN@lWCn%uFt6-{nqqP&+-u=58$JIO+$Ni zo#nJo#grreEpv$93B>;E@HfZ3bcI$V8r5g}>n={Z}AP z^_=6J&)%;j|DkkGF}EKOuSEN%tQP}4ug=0zf1{J|m!TVJJb!SUA>iLa%T6gjye#@s{G*Me{x&ZpPUr-TTm5Ap@-I7kf%B4u(JxNyd5i}+fzG|6*4OAq z?wv8#)+>wMgI*n&Mf0Lg3ygDT(;UR3g1o7{FV@gK=-~j0b5r*J2j!2(_euHr6Y<_| zG)}^sgrj|7RcKuOH67zzcDS+Da+aBWkC?iX_S34BXCMz#m%~TqxkUSWr;Xv3tBPxh zSEuiyD&R|`<@|@u;B2ce#b0(xgynJr?SpdcJ#aHLdXnX)C*5mg;l=Q0<5~@|-0`|i z{xNi3GTTb~!~ZOuKl!qW(DS!XgyrmRS>#QO$P4cH^*@8}7!!_BzqE@)d(ED3+?P$H zH~jU&I#?%7o_|8%Q^ObBnOYfnb}nAQ`Y&2!uVam}{~xDI8;o1WlkU-GPZZVLa)2Lv zVlSdz`SJ^mt3!QKJhQ^o!y3V#z5Sm0v45K&tLNc2sNNk@Xx%H?7UxWv(Twy1CLvDE z*CtrKh?qtC@7G{m5>fxsJ>uv>a2=irAE%3ZsMR|`tq>1O5tRRB_b1wTOjkNTINh_) z!|h)6uzDHc4!!x=1wLZ%{C?1T(|unwr0*@f^qC=+v(M$B*TZOEkohKN+Wea?bHSa~ zpOJr6|1t8W&2Na4FPMdSA>LO({<+65;G)$Bw9ENeD9pygz8Ova&yOR1_9m0gMX3$I zS-D9x@A`F`YU6PNhJf>RbU)J1YhwLz%x7@3%#-GCR3(M@yQhMyJ{!=F`hLh<%k}3H zm@ll)KIqluldCP4o}HlA+vk8gflr26uH2?0e)DeyioZ`vSi043PXuS~n)cIk(~>P$ zA(RKz<}SFnNqg-~ literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/11/9.npy b/MP_Data/pose1/11/9.npy new file mode 100644 index 0000000000000000000000000000000000000000..0801894276300d029170242bd0a0d15ca41720d9 GIT binary patch literal 13424 zcmeI2_kWL9*vC)o#HbLn#Zh|{u`4vko-Jxia7bdWkf4YhD@G8p#X7NKwu%yp9ICaq zn8As?sc36^az0o7g6G%g$uHm6_kBM1=eo{y#(nPloB2O<`o3K^4>pR8D;FFxGH67( zdc0iyzIDr0=H>bh8xc05_t0L$Mg)gA-mLfFks;}PWdGj7L(;#O_pM#KdgTh0c?AF8 z{&_LRMDfRW{L??}^HrDe`DN$3N$&gV&oA6}eI??q`!tt(B)d;}Ufgl*;=da&qTz}%#ZN!}& zM%UjwjdtTh`PoVe?Pk{;w6jNay{eOu|I*ip&nqePPu;nf?EKjv@)u)vr#gRLY611% zKjo}z7o4t_qvuoqOY-YZCngR~b?s(4wVTzskUzVb3GL?iA?w=ZB5D^l?2)@pf9(k$ zmOt^BYZoe`|M5F+xONlu0zUG%IpEsO7a9KRu0KV4zqZfaC$ITuqHDKhE1#QWANQU8%yIE{EUpuEbN>T<*F}i0*9)q9t%2ybY`X(>6xT!3lH7H-5^){7 z*$LyUimd-FJnr*ZvJns?$v}-!DPCXerh@ZXRq|e5O4{PM9`m4_`xGAz-^cfWgPDZmTgM`v zdYa7x*C*$ux^4f1+K-2#KYU5mJKv@21-p;yZ9uEc?t1Y}ebilUyOoCaW9M%=A0E*h z?fUpt%tM>W>w#-G9}m*{`}mUD&z{|ieA-udhjt!{e8d~iEY4q_irJf#{wZH?M7tRzXM|-#G;Ns#-jGwMiAl`8?xC-gpFGD|Au5R-jH}jrjzVX36SDcRs zow*deFX_#{oyaGsFvdp}FAX1FE*5&7Z;N(%RV_O>d$s?P^O0jF%yC?hs{- zw@Vn>FTAC=eMez`Fm29Gae6)WA8-}=^F^mKS0kbv=ew_fvp13F92e2MrQ`Bl1Ip)W zKh(iqzleUZaN@H23gYGW&2@TK!H@Es^DDRsOpbQk))L@$`xVlcSPU+G8-wdtd1)Q= zOr8y&$4$XitM1_JeQ)@yO3lH=u+8A|vxsqeUW)W)N@L6m-FWI`_%xyM;<+2qxKzrq z%5gD@!H2(XN$aTMgGG*;Cety`*zqG&pMVqE-|>6JP#<%x5!Su+-&n_STj~kw&n|ZX z*OTu)IpFlMi8L;`dw>hSJ#FDrb~w1bSODB4>dTGU+e=e57i9>zjKj%5>jZN zf4eRy$@zQdBz@!S;CAA|PL8XFtDzU>1Gs*FqNC%oN+j|2H8D>_wl^)Dzv$KooV}Ps zdCq+v={OgY;V&+PVV&~u8sYGnM)`}A+h`s}d^yhP)qzQ)!g*tzp4FcZ&dU8vd|J><$9b=-;AZPlaK5@Q){&aLo%E;gf{Wog%IURtdvNh# z9p;sp>KMfLYJ7#Ch;S7-lpe=~L{ z#jRQc>z!pe@e};(P9vX7AK{}bUql_)l z)@>{8KixlK{;RcHpf_W^kdO8Cjc|IE&;y*cZcTjLt|5+_pu-qP^W$pVca>MYMgFcn z2~=kh+Xs66OGm6b8D0;0s<_YKBJ{fs&~GmVE;E;>b^W5=VCT>L&XRwz?}$GO+5r99 zU!dpJX`R~ow=nM3GX_}!Kg3LOdeb%=#l1ZpKH|cA?6=Hw z6a4MK%;)``Z@ZD*+$USXDDImEq(7Ep655O31XsUQr}Iq{ns2=HJJg4HO+j3H?fqD% zSIZBA>tYp&M~JNflM;x2v65@Sx&KLUoA2-p zr{`_@K7|mNfs1)%%50vBV!8oeVsn76dzEws! zu2N5ev(4G5&L@{Gh5k+=@s!J?Umc2iiozCL^3Zzd#m_Y;Zdh*A-}n!`v@V6bKvF_};CD7}JYrsw5bL69{-Y0%&4mfZ0 z6ZGcsx8z?d4*L?%z90LZq%ZdlT(G!VPOlG@gkBchj`hWK z`>FovoaGH9pTHQbBmE?(G<5&OWX%#=duG_K5ADs;sx`e z4yJ$8jQoS(qrDznLf*a3_Q$8^cck|V1y?@j!yM;3Vkytyzu>RWjly`Dqy%tYXgBJ{ z*KAmtl&&|Gj$)peA)ntLlHOwo z`Bb>n)%o+K)hO8}~bVJY)Y^as>I<%aPc(RdITr zGdV}nxI9hW?0ih~S;)tH=m)L>U-otR%eF%(&t0CF&*F3%#$DZ_`=-=~k&n4P82OkH zw0_mWZphyrE3nx4sIGD77dyD?x{D_VBqOdo*9-ol#%A&<9W>Il^Qfbg&$q9TztDdz zM?ObJq7HnnH3p{A63? zuf{e<9n6*HsGF&91pcO4U#fqt5%Zm&2--*aJo}g8Zo1J6amzdcmp&iCMV&v}f;XV? zW!IY^f7^h=Uwr!v{_1TJ)LDB5qdv0G4dlZ%^hW-6x<@tVqv9)2otu{c=ZQg4j zl+W3#bRPD89E-SZ9+1!BEZ7Is{LJH%(&f5sYt+F8_M-YMyRlGj#3+%vj>hI&Z#2=Q$K49Pd zOgvW=%v-*w^8BQ9AF=xxIBQrRdhT-xK6(wE!{s?2%JWvUDNb*U}}(SB20 zJ~Fige0a7sG`_bgqRzZD%@gHc8RN*d9FK55I!96Xh|~dCccO~t8t21y(DQ<=HVJXn z9giX4$#jlVCvIb&+gH5b6hrCOg>}pQ2rOZ5Z6p^h`9C|oj+x(Bh#Ip|4MZbX|x}z z)aGN8(zzJF3_jZP0_vkaFT_4z@6-KAfANa)?C?3x>Gj=I=y|;v!~^m!a9kzkrTMUt z-W#ajlELNp)zFKetJwc-lh1RVUXJ;m^uKS#ycOM2rh;E-LA>rW~jjS>R#R zO;@CIpx%}DC*;$z5XG(87~`l*#?v|~zYKc*`B!kcBzGUD*Lm(jZ)P7rp8Eby$Mj zBOLw(R#3lQx5qfD0v!2E?|tCbHx2!gDeo~)*xaSyd}IaGU%l-@^Q3mhI;|cBy(!aT zmGhT3>D*}YUBEu9*DmYmIRDd|eC{p;7nl0uxt>ouO8uQT58Twf8491|>D1rHzk&0$ z9{rKO>;`Tc)B7beBBZ2$y1z)MLHfi`SYLKT`^k>WW|L7LasD9sD^FaCcU;{JhF(M; z!~B{;R-Q=o4BO6*mSty^X(5`jD&OCgF`2{1eKdU!vK1()&Kj4gIdJ;A&8R za243O5#l}^3vQcL0hhmsme6M!f;?5Li^x+X-refB*+kDrHb*DaU*9Mdo86j0@ZK30w^Hg^!$|mpi@jxlKNg==s+y=mpMWHiGlT zlb|;r=3#%fe`mZ08(E)toklB>PgQz8<@b7kv&`FY?qbJB!biQ|fpHO8yfAP1!3E%Y zXfin4-msa!%fIsm%4hr&aNg>#q0V0nrT2#>d;#gRhQY_a=#6o)r-y^9o{fh)AJL26 z>#~?ERL{m9OPmic_WeEAE`RJvKCQ~nh5qZV*st`O8pvPQO+Y>6jr-7xkUSTijt6(! z=sr!~qtL5&@8BagCq>`Dqsa3@!#2#J;CKJjMRTd@h2smEY5Tc(7xn^WpUuk-q&LaG6wl zn&XD=2G^YzgY)nqxpf}&#qjeV+t)1Qu2_XN%?TJ6> z6Ysc`3*p04TA}{7{fybp$DWHLpLPFXf8f7#34lJwUT~KEH~8q~4e34Dv_#TR?gwt7 z?xVkQXdL`a)OX;j;myhL|EeAId-_7Yo-(bq~(Q9y7 zGxG$;Wq}>Uy|dxDL%uz<8vaqVj#y+D^oyTujJkP>G~bx-m2vQCTLV6-bsXx< zio{`E%YVHvf8??b;I@wMHu&FLLix|nL;K9q(;4s8X`a|Y^uE-d+JXA$o}Zu>Wj4Y` zPM?DJ7`E&K;%V{Z-(y`1=g;EDQ9e26puhHuw^5Fpi&TFp-%_2&FTy;LJ&(bM{db@0 z)->0^q;$RNagO+m5OCF`=5WXLl2_pB^R{!&SLB~H1^(L?A+GGR5B1~&RxNT|9k~I$ zP5l?|m&}4wA-Hb&Hp=s-Pw;2Ims#jIzj6v({4#)&M?&#DVoOd2R}HJxiYarFyPtw!^jCJIA3Hb+#a`i5u9*>D8=caNC{ojS7)F%+nVCOY_m*n=kif&OVNDZyn?uQ@LFJ!_WZy5&*I=NkQPtMad1;iLNC@=($2@U+XBw= z{|Rn#_`zRf3I#W1vtnFCK@sKjtVKR>HSaz2cKncWj@x9KS7!fF%4gWz5%4cW_gPjm zn)KnSH+*i_LjIy8opbn_XV_Qmlg#&By9)Y%xH2wv1@!-HMO=IN8tTA&o-TA;#J7Zx zEm4Q&+km<&lhQe>K<6kmX(oJlNVO4;^X!G-uZJ#0on`o>?as&M8wMY?K~SD~ue1Sg zdx+{BM(?rJSFzZ~^!J01kDk*SKIYw_`A)CuEr*`x`Wp3T6C2D&+{z^=?te#-ryAvp zxT?ZL=v5NEw-GVkQ=E@!Ihy!~lT?Q)UU)9k#rGqw7_f`>fxp%)b9$XAk;dibAnb2q zS?@KD^D&hv?(Oo(hp&IM$#E9@3VO~TU>~q!R^vX-3lkS#k4BwU5Y)5zSouN|0(mLq;xJO&_2df>AkV8&3ih|-#mtodA%NWvtP#HK4ltl z%0GAx@m#^voWFhgFZ@OBb>JdT;mL?QBxC*NxWU@{!TcR>J4q zukf*-nppRp@7Rz0`P_O`hnG9iFL5L@#?jskBc56XoaNk$I`b2!Xj~Rh{wmoI=X|5r zgY({Wo|hFLf{Q=tz9}&2tUuzKggjKwyS-;Ru101< z-Rzypluy~LICsf3s*mX#PWdeAK>JuIjj!nZ?R9s(W-BKqxqhY4IhIAd#(c9qc47Y) z!$wg4-xY#h=3fbJS}EisJB-D=<$h~Xe>S-pxN4Xm_17y`V?KyFbUqh3zrZ+(SX$St z*#qiVk=eAL2iL+p*X?E@F7xk<{I%z1JO_yfJ;6mc`aMX*%*Ojke(M9cj4eR^6SGZm z{j)(8XkPhE#=J6blj*spGwpBs^d8JZJ)qenR|owM?LVgHHE{Lz%oOlN8{lu2deiz{ z%CYaU+1tQX;~vC!EuZT2=3hD|m`;ztdF69sz&~Fg{pscK=gTgIIL^}O+@+e&CGM9P zgt(JlLNAB?1a3w~_lD1c;;0+n=>;ygUiE>`{^Q_M&ZKn|Fl?@Wy1h;8Nco4?pnbCA z?Fmk=lIVFypDj;yW@*^}`1v~E@;J>~`-;w)`lo2h=jAKPXVn$NHNjcH*;fsh zy13?YUBng7%E8AbR2|{s>TNfP|2H1<$M(G2*KvD{{!ff;9Yc8rZ=46-bsF?4|3>Vq z`tfU=-^7{4#7kX*kI5n=}TpW zkJ?l#0Q$bYz(uW`sHeTzI>d2)hMvF7jlw*5;;J*qUw*L$=OX^77Pu@*?@@Wkld;INc*gna z?i$ozJo=2dtlnqn&Cn*4Po1LL>1DBa^6|?!-}d@pj^liCQLGoX{SW9_%pVERd((Ru z5jzK*=WN&CaaJ&b@_$vD?ss47iAm1C)O_MmhW3-9(-u3fGW`rL>OTNit$WUOoR3l9 za&#|n`Dn&+`20csa$3fF#Zy6a4)mbsII*@L?W?n9BOi5;-b?6zI?(>9?hW^M{so$# zzv4=7+9&r7n&7zYHkj&Ac>%a++Z1&cr{;p>3Zu+`+$f(j&WgEJFakC-w7n2oL|DnW|GUGe?`w(vcz2)-6u0VE*gx&Ro#7*b=zX=lT8sQYv;}9Y+mOD|C7g#vcqr+;=zSEQ!g1eJ z;q*R7^xA{*Vo{O!-A84-Ke5B<|6T2cLmgZ`Y(!fcuhJEu7ojgO|HVyOM_hY=%Qh)7 z{!ah@fBz>dVE66Ada$ugZo7G4tG=F&|0f?&3iFaJ?v?7e_DdY+=9Te204{2K;T$5j z?^BMmLOE#P4E4bM#lA?Tb3zN+m)V&u>HQ)5-WTgjrB+5@EHOsLmZl*F73P$@$nL9iTJIJJJ4=xR~~n6|_If6`pke`tx_`^m_B( z(6K_a4`|<)sE_rb-$nS=4e+;BC)4?AZ6@SnI*%s*!XfZC@$`QW{OoV=7cEmKq7Dye p{mTzssopJW;Cv|eCewOuc?y2w=xA^;wm5u6*BHdr^_t8~`XBtv@+trT literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/0.npy b/MP_Data/pose1/12/0.npy new file mode 100644 index 0000000000000000000000000000000000000000..6a71621d24f5c5891f61411b3ba4e39e4fd36a54 GIT binary patch literal 13424 zcmeI2XIxh|*#6_HifCOp5Hap;-BLw~tM0uO^-#r$h=Pc#21IcyqQ&BhXp40#E*vGU zI_tuXBM#8I>Z&;FL#~@Q|F{3Q&*Pi(`F(SpD|hZB_sKaJ)45ltuKlvHP&TFVQ2*c| z<107jmA!{~Rj$D+4;wo^WV~PC;IZR}`dj{kUqG;bCJ!Fr7v!J$yGosg4eQpZT7ysH z|G)oS7-O>Bw1+;KSN`eu>-MVqeYuyMd3A1m{RjL&ku-aio~^Iis|wv@Y`a)Q?II%t z?Rx4cv`epzXm{pi-QPL|?dEh0+Rdj8|4+MEnfL(y`@PBE{p(%pZ`RZOPN&*vR~7o9 zT^D{&?OUi_1?|6Y@7K-4s6FWu+Qsgy``e66x9$9x(f@X8*T*{{ey6I}E$gE`xZJ`0m#AID#vnenx&yU`7P)2H*_p2f+p5uO#19~-f@)6t4UE4piT>jnT zGTMu^g^pFZa^1F@+lOCR?(`jn`(%*Ezxd78U$*Vem0vJ!nZ5P}%h}Fi7>Af0`P#ON zY=7WBw$lBjZRfd;zOz@cC*zuJmjMa)@cYk{)3`owX>dLJ=`Gs#MAP^NzC#?U(=WJR z6$(kU?W|{hem_@?fpuBnPY#;qy*fjcBi6UA9dSoxkw!t zgKP7FxZg4Qi~a3*mE4+~c{NM+)kFJVJ8-|;l7@B`%WorAm3F5j^<+b+Dn z!ToAoB;Eh*hC8-j9=YNo+LLNMvcH|d<#US6E9?7sd2;4O9)JGKwyU$1untUkf3%B` z9~05OY|vxd?&MgDb;-|!B5vNV^-|j|Zp9LhYkAZ9tC_RcTCP4s6JPWa+*~`f#BzS7 z8?En`-LcPDRi8Nc_$~!E=i_f!ANFB!yya~59B?+}3h8-q_&dW!k$&2Xt5(ksj#&i# z$XghP^ORk)T=hyBk87@h@NnzTqWrJ`E)3_Gpb!p z>o0RtJ>=(4qF)t$d79-)-6sFwY}n`GOs^2@!( zwzS^Ll_mb@IP|*JS#b8|9sEtrGSDl37py~Bpc(Yas{y#^IG@%}d~x!b)d!sAtv1`n zBM)w;JT$CE>#bk%1k0Ue0nj^>I?(#LIE(5)6F+cKFcJIO*%5(#&EqE{4{CA-_9OqP zd@Gv=Rq!mu`D85iyScD-iuGqh9)dedx>J6hgi-z3bdz|aY~W7q{!0)~#7X$GW>lBt zsb)hgm+4vi{pxG@^W&qH<*Iic8rSWXh)2aumGGIg2R?k*42pC7#qpNw*Tsn!)hRyK zcjm2S_Nue}3m+Zw3-o$!Xe4~zECXj3YG9o(uL@mp-_S^ke{2Hs?EF`7oYnIyp77U` zhzsvk8=$XJ0QppR6^%EkeYDl9D&FAY?on`2Y7scw{U^oKIv)OJ&JDzG1g&S|IuBeo z_Y1Q=tU@&UHQUP~emSRmf6GOa`|uGRR>PmIy^Z=K!p4Kk_~y{7TlFwrRf_hb{QD2o z4VJNcmi6H$azfAE7ro?T`x}-Md0-X$(0Dr!gWgn5lD1v7XhQmxJ&}eAEv(cLEKbUrzScq<`2DoE2#>*Xr4$AaL=b z5;&jewgCJx?MD`riv7!rUYUV@>y3t9xi&)A9~{#Jm?Y?<2;7>)i{f z-w*fkoN~5g_4}|NxSBNrb%q6&gkHu6Q#^I2A%2su2)L6vn|RvmD2(?mKWSgc$Cu`X)sB|nkF)l*r023;>VbK526Uxyt<9BceOZ$aSU=9xta^L%3;b1) zIE+iC{Q$l0m`?rfdkMYS`!n?$l}dFlV-eQ5+S?Lb$2+K>=5A@MD}Cc4xO(3SJ}h-L z=2veC!}@oIoWlN+wVFlRxMccn+7}BFv5(Y{hAk~u!(M``8OO2j#JEjVZ};4#eyfCF zJs4&1JW`U@t$1;k^v{>fvH8)dlz&ybCi&Njr@SRl-Q(ML;T$EmmKX{Bga_zX*O^Ao zS-)@n5zj1NaC4r{hjL{-#LwUUfq0yX#h^FurwzAy$8{<6;=_8Xt4~A6TQ0>*=vm5t z(CdqS;kI8Vdv4@kbk2*siNXQcU%HM5^?UF#@~`WsF0wwX(|m9lbP(LBymlP?eNw^I zqIBX-LYu?CYu5Q^`xbDO*Tc_pacDl`QNQ&h{pT&<{PAJp%RW&aa!noqeNZFB$$sO+ zx0I%Rl&3EBTdW4HpO}|8Kd2uaaDIpKAa2#0YUAYX=)K--UJku!l8*D9o__=V%8xGe zTpraIb%3|riv6M%Y^Hv57usxnL>;PQY{N=$(`+B+QO!98AJcar{GBmwn0Lo>7vd4( zU(Ab&J%)IM7ws?h;5YQEt{lO>)1@DwUz1n}`U{q>=ul!v($!FA)L*br&HA4(FS=-J_&YNvpk6sIx-GPNbFd-hv(t8p-=%y9_(x2Gzdkz(Tzl7! z0)J2uoE@wW&I{H-oT6fT_=wV;r~^9i*tBHpf0N!{M3v3Z8<&ul)<--KfR74vNBqvM z^lp}O*R1nW{m(S-IScq(?p)srz3BcoIDa?*`;nFW4&zc)7L#7D#=dY0(!SH@#t@&q zYY=?$41y1T))rg_&#q*-Iz-=@bfGrj;z-ka$(dYx z>x^C47s9V=(n*h!N+%aD&_hqVklfB@h3x$D;Tpm-ck32hy#^rGj&kLDYXPxyi zNwm)Skj==00EK}S3IZG`mA$u-ubjIUiYE8nn3H{S$_uHd9xko z8Tqz0e9R(GjLQrZ^qd{(4lZu(BHp}Fq|F06@)mLGF(K6Nz>;*{tDO$6%8v)v?Jt7s z%U8fz#UbFLO=Z+!Q)xN4(;yqTNz9PeUsYR+Jc}xcG~Q;nv3_LxqKHTJillW_e<9{q zHTfGpW=9b6&-0eY{u0T@$bWYf%}eV|*kAJbXK?YVKgH>lb^b|x8@lO@-}ysK>+R@iaz>aD4|mXB%j5+@IR^k=%*79k3Q0x zo_7!F{H7x2gR`3tFfXhPz1Qe&6EVL`j-}^y&{`T-)fd=z#y9aN8xMQ14P1@P4j<7j zW}M~bTsd&P`V;ixaLXy+fuZ1RL_Fq^MP!$jOXmaSd6gTUgKX%)VU`Qg9OH6|SH`&X z_Zf&^kGn_yPa-J~g|FkBEc191_x_0Z^_IO@Ct~S5;)mx^9>VkGLBHAQoGFeRrg?YY zKLGsizKDk{pNDvy+5@6}GUH)AUxCY4>Cp3Gg@P;>-c>064kf_Vri3-nU+aN>`Jlz* z6O|lh{aHg=Z)V$KsskN3o%7$8!gyJcwv^}hXI5Cf>YM=|<|2uA%fLF(uj-Kg*%jnL z&h%99&vAtMostXd+$^iw&vK_;An{sfuJ~mB)(hyp+q5bVu4kPDH(xG>SiN3(kH*#Z z2{;cJ5@@+`wu7rR-@#v29ni{h)ol(qpI4vO^Wgpwwjbk@f_h~Z=BD}Dv>)|~k30xH zE1L^>V1Z{)Z`t7Y;3By)<>y>T59`CTH%FXKi^AX{ct$hZuecrouC}G3U$Y{hj^%9Y zE^zi@1-Nsec^$-a=^D7`?~wl6u`S^5n}j%duM&vUoc7#mIrFA{ttM?j{@ID&qpiPu zS{eCQUlI_HIo0-O%T-%?KQ;df=tZYmm={^y4|?GeMLcrUDytU}Ey1-XohRAS`ovFU zo!hUaLN7xCQJ;-FeRtyjMT0v-ORRxULe_h$S0cD6)fVS2@%}uGx66I1d+vW=-SSDV ziAU!`9@OzB&3!WCaRyMos!3_ePq}?T)?W_3Li4pKnS2sAj%AGbgNf2INrbH z+u)73|6xt|NS|_uQ|D_WEf>Lq!TIO1;G)#52+K{Uh2Z9TVbbsNi-JDwPjGd5AL0>> zyWm`>cjf?R9^XJOQ(8^8dUnR2^w$nyUpQVFQ!Q6F>wt^3w7=NFuVI$!e9OpZ-D&96 zuDdg!ZZ%yaLgM4f}9vVJ8t|8VBPkE=T-kdoC z&g!kixWw!WYb}@C|AUWsKAh&IRV?0{_%~mnmq|6TZk^a?S@p9V#nYL=UxduZc=aF- zt{-fLziFEv<7LsG!JYK!;7-uwnKn+9xCj2`#BJIau{E)O^`*Jwv-ktnIsbAV;}S>C zkxyFli+xU+R3d_=SIK~`_h_aXo6Nf&K@+%t8iy~-9eU%cl9 zIvctdDxvl=RWAH1FQYwXI%`e+qx&S`GfpTtyw`CtaXt zl|NJbbKNIdAM+?nAIIRsl6-JZ6BAFshn=MF%rc=H;*{S%1Q-43J%T;xBCU@z{~qy} z;yAylx1saFBX5JNB8T8Fx;@AHhrn*!m|6I%E z%;n^NGx)OoEna=4^Mhv>aA!{rns?9sPO@zua|ZE?uLq##SEr(1e(fT-SXso ztCzX2gG(8KeeJkD9BBLD!xG^ycD$nJVBmy>=znqz%!_D|_5S#qOPu9wwX$}(_NclAIV1!`qg_L zL(e^PuC+eqc|nS&R|dFgG#LJ3oac-qzNrAXoH&E_i<>{&?S@Gxa~MPPYB#rE`=KClIHMIfDF{cjMsitUW;a?B%;$Z`3T5d+)0cSf4QXYO^9A|xmYbp51Kiz2EMwDM= z^&+V#xZZIVT!wdA4_!IMcn=N;ab^>P|8`FMYFbB_ZR;dTL$Q^?`i>ZGm zKtEs<<)NJ$-ixJ6&vBNsz6pqvH_CcXsWcDkP1MYKKK8DMex1;s{gX50ylQ9oJL(L^ ztIJHob4uT*I-sg;2bT+);#{ha(D_r8JxTd#w=2^2E0)v$6BAxN5IIlo@m5yPPf@+%&lVtl{!ItO@BFud#^qN6Tp#Ma6#DI#!9|(XIQO!MA1Kcs>w)tY zrxB0v-GOtyYUN7&XIfWIo)$B#kFHM7O+6=(#&v_{R~BwSc^G?%)^qnwtI_YCeDGm^ z)`MP;YDNB^s9(7|JLTaI7t{yyFTHo@>~x-&ugaod({Da}jLJs+M*Cy`O3w}CA6t=l z)A93dzfMico7~wN@#xZ9>D=`s9(wg=DfEnuKpk_2(fo=cOR%0<-3Q^xnLeg%cIvk% z{eJ-NTYRzQas!=1%-R5YPOWqYcfK0v`RX*RTRrt5@~;a~oMyrtA5hYQ(4Q^&==rN zT6fwnuR4TVE(?51KBehP6+nS=@nia*vEm!{M!9}gch(~Q}gL4sA zvBXcmpmp`R!%xmYYvm=kSJuFfaP-NyKk%)A_-vQUG~V_cLOX ztxu6+@ZqoPgF7KVqnli zqI$(9I>^7y`4_zh&C7aUSTck3uI*!zGky3%I?p(FNYU17|O~qkcM14??fHP9-0&r{v#gH@K;-z*Vn4bRHf= z?{Ruc66%RqR2z9SBj`JZxReI&_#X(ucrPcyN3d+jkD5NO2jY3Z7kOq$%}F1=1nb|d zpzkLvp)@!P%#C@>9K!$o`(Ky=d1l20yN)=YbRX*}wnn)9|K2R#9#u>a(mX@Lfw@`tH2dnLg?C+}xJ+ezA7kUzR&lLQq#($B%RlAO8rPkE;f~ zxON@uR^5p{WA(h!FQ}6&<`nuBH!qz+98X=be@**H`0(q!PFgMpo~QkCENlNJE{Bhk z?HK%Z*aQFMOr0*94L;1fHujy|)g144=2y=X)<=C@NA=;G=gX{~Hx54zZaUKbTJMWG zAQoPLkFNNTo-dC`(4AKr@oADUCI(o(BuNp+4{AK94BC*qJ7T$M ND-aJ4?)`J}{{SS|xS;?5 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/1.npy b/MP_Data/pose1/12/1.npy new file mode 100644 index 0000000000000000000000000000000000000000..53c0d9b9137d2f1cac475dae624d027c8133b5df GIT binary patch literal 13424 zcmeI2=U-LF7w*SkC5oEpPb|@~YizN^7%YqxdyhsD9Z|7i0}Co;AP9B^tSGSUVnbt1 zEN2vZN$kChMzJfg#(tS+@fX~;_wwd^&Ue;4Yt5Q9Wp7SG$6q>h?v;a$XOk-r927ht zsInKY+$f+yj<&wh$$#V(>f?|x(3MI^PG21C*A z3~7XRQ_6*Q6GrX)Z93Zd!69f@A$!rTvfEYA)_<(7{-GS&#g1lZca~6p5%&YyS&LR^ z=RF15`I_wZT)XceuAYI^p0_!*Z_aK{@0DTO#nX-$pSV~1w2j|{X19+ifc|_%TeR!v zcMjWjwVv9|8iDv_8;|SIsnz?YZD*&l`%j6Z_&+yAyJMbRhyF2Y*Y7?)wEgty{&&&8 zX2b!s-}sFD>foC#eazT~`0&Rg7C7yG(hnTOQ+(NyA>)b~SN7`k6eQ znYN#E=FA)W$zBZl8~rD5ziq$E^7GMOovvqK_x$23+pc{Q&|i*zg*Zf`H1tYlUh zvTrV`tF3F1ceA(w@}T|7pg;SZg8uAXC+h#H0{ZI$cTd{>jCI7k>L;;RtX~s17XH<> zg)eNo$mO8FT73Tj+WV!yvY)!ZlU24|UvrxQ{$(lpnS~dqedeAumdh94&$FLuRUhh~ zJNc9S&YHw5b7g&)E-&iX@6PCD=+9^Fr*`jY+hEsoW)=G>zpIV@yx_U7MAml^_Zs7r zC){5&$@;E*^B|AB#4WVzQuk0tdhv^kw%wc>g8m||pPR_~F4xwAKm9iI9@;nNK!4V% zKiZkwEa;mn)y~;==X#6#HVzS#H>d4yJ|2w6_Zy#{*>+L;d(?rMUl;Anuj>w17H8ec zKSqE5S*S~XX9MEm<@P4nb`cl}u02DpT0J&p5%MCZhZ6t7ufdOBWW2SPSAPbVEn+a= z?3;s$mb2Sr?_9Zrd32`zzT9#rbqwsCqWQqp+s@DzExLlMl_f7(ebqgAuC-V94`3Y1 z?PqXjN}DmZU7v0adl7u%g8gppkDY4m+2$tT=E0})ma|!}r-SD&1Qy#5VqFEdsk9_RE-*s~)Yz`1+R8PM-Om-v?maO2+xew|GT z#1r>{JN2Sw!v59*;>8MLUe&u2b1diW7J;jk1Hqkq&tNZVXWRR~1LxKJBCNgsk>*SK z9LIb)>}rbTYElR2@at#6)q}nZEq4~}L0y?m#gI3d9O!sk`@Q|KPna2NDF4N-ds%x^ zy#}~gpoy=o+Rk!z{$mX6G5NBs3q;HG!RK+C!77S;9Pe#E~n2=4q%=Y?*yh;)K3{s{Y7 z5wK@VKf|vH7#n8&IKBUdK3h}*>&_{WI@H>m0~=s3CKiP~JLVZ;?e)4pkT>VtEz${Y zx6E?Y;3wGg)9b)xpN`X^U&@#C%l(S{%Oc+4R-gUWk>;iL#_V&&m0-C(-5cC=Yl}M3 z9#c_ornm>$SNH;Zb=W=5+M5D*p|7U?3VZRgDe6tns|I^Has=rNyg3VgJ#&HU4Rgpo zqEig~E=;C4Z~9Zc4e}jrxyauG_Rjf8#LsKZq5aXVEyeTGBdlLpHW}+$PV7s0TTli0 z7wnIx`|P+jY=^#Rx(xe+lO7Xl^_|hD!JT%~pf9ern+Lz@Fxm5;z|~~$c*L2w8Tu?O z44jQh>kA#$4DqlTRVbc_BnLX5AJM#|jYgg8CL5zHR|$(rC-ir4=hVpYma~HIFu&sK z$8_#?*fq~P3!9Qx5fA@G(|UR05o_(us4$A(qZh`j8nh{G?OB;I;OwSBo|T&z0()N% z%Fn8cG%vFbrdoTQ`X2Ub^aYGdJ4G?SqI(sLOXYbBE^fC2cXrUdO0>HQ9rA0WTw%a65OMg_yK{=PHf=M^7fy_m98|2p^_<TTIC6#uQ^uvf3v##kNI z*9Tl?J~(gVHZ#>U%k_zWNPlm`vzE(=mAinaHUMV_6JYPGE)izi)%lVXr*9bYtd36$ zv-T>qF6`Bx58+o1I5!S@QU76H)Zl1vw(ysD%bgG1kslrLHI4Vu2h@pqTZZaEHwWj3 zx?x;=-D~(&6DE-TFEbIplbM(D9Q6!&P@a9U51Rv;@(_NObSAVJW8;)-FH!u*uY>D< z|EIt^{RPgeYy%g2GLe5(+Y|a`Wjyrde;pI8y?OIBxEv8lI%yw%vs@gl1FjEcuiwXm zajuC$eZigFex(0p0?r+AxC`;E9=E)+`m;Na6?A6yA|5*i>zciMg?)f0`hu%EMZtNO z{WRX#KH#F|A?T}2H`vPzKX4vS`-aI_j(tX`+~CGzJ;h&n2E|{Pf$Iwzob7rr#l|Dw zQ~sIzQ{pRb#9Gc$o=~1WDf&9RO81qFCS=LoR68=7oJ^W8dD9czj9dwO9jKtM^Lb!jGA;LEpD{hEQ#>aZfU|#wqE1BT zeH729D5}F;)scVg{VUdm2z`n5Wr}%3V!VA9fb(Uyu#Ut*ul6=hQ|m0a>iPofj>}(_ z<%&^#vds0!vnVxalI5cJLGpY3C9TuK>u}#N1L#~3C%Qu4y|H2s|+Rp1J=!*z;VfvDGnKXueFrJLI>7e}Btaq4Ds`&d|NrDcXF1{afH!=W>p_9gSO6UNIvZpQqIPsI_Z2pxp@xhrO-x7G1)NqHE3iO$msTP9iV z1P`V<|L-L1P3r9wt1lSMqnXnf@#~CetVgzE0oIF{auI&@x4kx49TR+x;@^LQ;)(ow zgw-+bJHQQ#qkK-S7h$<7lZbeD&T6pdV$@`-!}s5Zy{vQte%ai!Sa+=31^DF^1lBKi zd2F=y!h03j=gdPo!^>iRb+d0VF4lAmbmYiON${Jt3w~wGpRm92_{VYZ+ieTwr_>{G zF~={-a_9Xi_;s2up?s$8UJk#x{9*4b3_|_0 z=WJi(L6r&YYPq`lJ>{q70B|{ATv^NcXFA_SksOGhSLhrHzddR~#~ez#X6^K^zNm8^ zP4_^)Cmr$2{Y!`1cDa%6C)`be8=p^jUKZ_&!>{Prj>bD;**t6SB-Oxp)!atd2ju?m zQCECV61a5V2Yaz`OMtak#d<(Tdv>Py8&_!t{&zU#C$T0tE4ibec!G-!p~N2! z>SVcMbU#!Rmw^knS0yYL;uQR{M`wxGYSY`sqo*aKu2}Cb#9Mv0#&YI$jpBUR0r9IJ zdr%&3E6UHU6wHg5=Z$m0yu5&T%>AlZ7fzqNILGDgcf{-biMrLb7A4qt`00jJZ&!~) zhs{0%9d*|SoK>XvW6syjW39b<{0($;>U~--x2I3FaXOa=gY(vPFkk#|&?L*%N2(JY zKAYz8`z68f+tnB2;^zuOM;0Ev(%KuJ1*GqP9eLol^3iyk=0QBVb!Y5*&XGXGDe5gF zzHkcF)#j#St-gsqK{|8Rf$MH_LZRR35%R32=0bkNgNDm3=S6ElM+{#=_l=_mVy%vx zSrwf1PA6V`AnqsXWO;BC<3{VHMlzjidrN~mkv+im;K#6+lk$Oc^9WoN>mOlu~;AZGoeJ$s)kHC3U z9Q>LhAFyxej2QS8AHu=K%Hr4u%qBPFK{t-0IxoIB!usWFACOMsT-tA|wH=3eb_bAs z7m0b-pIR@qoK>n0ZromCUFe*>=R;=>-81ELE`RqUTSo$hIDY&Yzmdix%#^F=A7 zzlYvKsy<%Grx}$9&Nr^2c3VBaSfb{=3$nrx%7M_ zmvo_ez8})pa+y+>;+)`3>#ji!#BUN#LSN6`g*>Qwmr$QILDzh?$}XX)_T zp%iBZjaRlV;Rjxj-mmMAA27d;=g(3|tqd&OXxTu@uvim4--DfE3 zmU;ghY5k~GyRlz6e|llQ#MM&EEoXgJz~0%`kn-RYKE`tMJH5Z+Z~VYT-M(Ec*Ilb3 zPBG61+!>J8(q(mi2&8<5dw{EAADde)W9fd*+)mQ^IKQx=!&lTZwh5n$kYZ^3eNXxv383 z#o5)4<|}?T&2L5jBpVO+tO?FbCV;ahb-|teuMj756~uZmNmplh}8dbZ!?) zu{vxXJ=el&-N2j zr@>zI{%)@Q?$liid-IH*Tb;GVY2VxXbB1kKC5qDX*XbFl_PcQ}1szqYG2(PG`h;4p zKXnA>4ZXm{gGmbgb3~BeNdr4;r<8lq;$l?_BD#LoS(@=JdP|!`me@KhK}e4 zds+A>){&a3CRlDnX>e!kHE_N<8vBpD@*B7sb_QJkPy_2i_E`naF4MX*m;GW9&rca- zzor8D-Jx;MG%LH1e$*D)-x6FB@qF42ZVJ+R6f?$SzfzNjB5!Q&Zj4J$Oj!r}bWd;| zzY|>5>$=o(?%j`cw$S}tJxVL*%HlHbVdOy+j>JADG7g~r&E$RHs%Hi4d+PNH)TgM+ zpd;Lt!`|_}i1$c(MFrBoc^%v=TN-Zl^??lNu*v0VAHJMB)^Zb{8}^QW4RGxP zZJe?Po!8Dk^xi{!+Cb~KW(e$6^gGnKDirpEwO2Ryf;+z#LY!)anP|B_n+x;k^mWH` zhj|@~eN~=aP2+vLjOwk)Wo6?Ov#6eBazV^H|06R5`k~R}w`CQ|e@X9gmOH2Xpf8Fg zV!rsG(pxNN-#w!IM8_fzqDy<+&vooUaCIad+!1AwA0ygR{0p1Xe4VT^5;}G3ft%@c z-%}R~_CP#a&V$R{%aI3m;%&6$W-;ZT$BcwN@A8W3qyy~(tWD|c@%jY2vh4N2@-(i> z3!$R}#!s+Zw4?uPo42kr@YiYz_6Oeo3GDUuW5_3~e0IKVcc#_=cYKRcp2L${S%kXUwi}UJIin59;FAho^0)9$Qjt1uUganYCvbKBfj$_`EB@&^us*p zIVIu{@!Jl#@GOlysGPJfIZ^a}*o3}~L7cC1A`d#H1MJz(G2_736rj9S>PvBUE`)u? z`Ktuwt$H-LT-`Rz+KVTZNGHd3aGqW%#Bx)vE%AUNm`CxlKI+hn7>jyP??bQ;=tV`g zdE4fHUqM?LWSsz@2gzF<+uc zFRGK9dx^U}2G?!x(|TN8mi$&r!v1C|3~poN5ep}Pi-q*w&l$Fe&i8tHpI{MV!tM6>yO7q+54D3b6ds8e|&36&+Pzw5LQZ35=wLRdxR07tuj4IH^+RKJ?&Z<>8 z=sca!8~eQK$!Y!8oC&VNYA&{MDo*vOeaW7m=ofCev+4%obUJ=R`)BBXahCIVIv-6j zdX8hO{l{9r`pUl)=c`wkcV2V`?lZhh5BQb8Jt4nC);m^5hUNrk-Ez{rTuH_`&JG=c zUlB>arz4>w!>=V+9l7f%{Ia+>T6gCjBv^Z0GYIiJWj;fPRVV_#{OMWPI}Z<%&WHNH zSsn4=2)OcZ0v%C0#}fF>^9^*wca>1L&Y+IT*4|7i04_URrg|P*bQN?OMUh`GU+Bn` zyc;ZMA6gPmYeDJ6(Oi&Ey%#vva|74eZy`Jx%&lFwhk;#D3~&bl+ytH!v<| zQ6TD#RrrqTWLZk1A)u|-JFH?_Bgic&Mbj-nW z;A&vi1(wS~C&9(Yv|IK&pZXekR{6?NJoE2ToIbxPw8zppC0<+v=l9CuzRk=n%%j}) zH`!P7!u*=F%7{}%oI;+}^Y%&btN){VxZWQ2%x7tYr*rh6BAc_Z4|o1Kfm<=EQUI&Y^z|L(7dht2vK@rXRWo1y<9fpm_n zCjCH;eT;Rb`DOCYYu3*3X&>pb`fZ;ee)UHn>OsXenQOVOmJZJSm%yG+T7Yvw=ePuY z*5Cu`Rz;(cKcPa;CH<~d23W33*Cw5d6)B$1ZvDYq(LIfi%}@4vGxDZ4je@;g z9*_Hj3F!Bu%^Ry#2IDn5?_#{N=S-YCtkMdMmwlXpeNuex776_=>nIQN#vsooBntO! zzU?SDKQRehABqdL`nq2c_%+{@r8ooL^ns3Nb@&x)22ng+>Mub&t|_F$Cz8&LuO?V~ z(W5SOSlQB4C*>Emvs{jt0ejWy8sgLoXdh-zFHxKq3u9lB9lUX`V;kuCOLmHej=pqk zywx!UXuXIZGZCja*EGz=BmbrQgQ=ZNbv_|y7i+J*h9e$bdHpetbi=yPZ+nOAw+_d8(VhQ9-I`)<;Cxsq)MwWFka5 zyzszsF5TyK*k$Cw z6q=S~?b*vyH1D6@Vt-?WQt_O^KbAy1&fa9=m%8+`@t7z5!P%Y&aQW4D!z|aXrQqr{ z{q98%?l~Fu@-U67JpF!2BsPh)TJ89gR{kJY2CTp@&6^rZ`vC*oOGue$3XHiu|+d|Ka{7JJR!l zx|&AzU#=&(Y~EsMA8^{WfxSFcE7@|>jrL&`wG>=!@>~j@o9?$Pw?FA`ev)Xp>iHag zmD@gW?bZ#?cdXtTa3{}3aNg$)=ABQY_a5w*zezvQhwdk{55Qh})Bo|EPQ{QneSR&t zj?IlcFxLUBQE zSuWqYz@-z1{hZDG5@tF3V;{JA;em6CO-jVQg6Ek+b)OLnu3F@sX8rJ#-@*0E3HUU7 zE27R>{I}2%KOeke?SyGR8Ty_3fU7a||1b76{Z5Zf91J^?zYCp@>?qE6Hflcg-|zvS z&ei8QA5DAut_IWdzC6Dw+Ukp0-V~4Ci9E@Wp>r%ZdA;$Sw~B&3f4TzayBg65+<8vt zf;sD@ti5hFm-76O{y!qtU&H$uHkN)TBqudMJ9|27wzcPrKjS_jCYPstE@p_wS)TnI q@+=tR=4D^d`=9rju;(?NU|ec>I&_?$f5d*lTONVFzMFfF>;C}Cxb}Ad literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/10.npy b/MP_Data/pose1/12/10.npy new file mode 100644 index 0000000000000000000000000000000000000000..46f935a32b3c28193ad06e2b779579d2e6d3f1d1 GIT binary patch literal 13424 zcmeI2S6o*|w6;gF*Vwy`N`eKWScpaqBcc)%OKe!cK|#TSqKMeX5_|6g>Y!pTSYv05 zSYwG@tlNSm_8N_fhj|w_-|csM4mbO^pLzE?Yu41g|IBaQ(Z6k%EG(LhbPEX`(rd8W z&)lt1@A_`;+^zS(!BK;QBYF%R91?1I^WgqNLNoY~u;4+V8TVB@JUwf>S9Ry3`Ty@< z9>$m&F#myi^t334WrM(xoilm|Z%H_-U%H~bEXUomIbd;MsgHWzl zd_cLFG3oy;SI1B;OI5l8AD`b*&L7hA^6Z2AmYd(+(DP55qn!Oh_3L$!DA)g#!t)|W zGn6|$sa!p9q4Is+RG!TjbT ze$JNbD0<#W^+f!p?vxu==al@zvE_UzmGgOPUZ-^VjOIEoWotdAWGcl!JYaQFImo7 z{YvF()LmQ7%5_Bl=wea0s=O87Tb+t_J!Z@0yL+flY&wx@x#+$H?QmQ-ytU;f?=|ZG z_}Z^*x$JlPgT0!>C#P+>{Pq%glTFKBw_MLV>Da5vQ{;m!*DKai{keQ`mCKUxyqJ>Z zf-QI4b|9~8%SYsmZAd~M%<-1*@qGFQJjWKzLc8?q+IU{ipLNQX^ZnHyd1YM9xRjgr zs$Fy4wO6@xAL3^>GN12%_c3_B?eB1Xa3VfAL#N98Fw@?PMzayOjyi;LRkDf(zv#Qr zUU`(n^CltstGzd?Th30-xH|dfxZ8VOZ$6$E#g?O7U#zjka&fn!tG&uX4e-34xG$@) z_s=Rq&tA`X|BJnU`5ndm<}j7#T7!I=i>Geea#pz?JwLFyi^#YY7p_vgJ%4;^%bkMR z@VprBjdF8CARkV3m1@iRoIc2t{O%<^pTB3KjmtTG{*5iyRa&4QP3L0SguP$svM)K~ zD$~EBT>1>AaT56)zHG~zdA3}X>_QLHzYjvc>i8DW>vpBUoxCS8 z&sd(2IIGu>yMvpz6{y`Yk5|GcvK{$EZ0w> zpf@iY-Ll;L_Zjs%r-`$JQQ)FOH;fN;kMgEEPX$*V&8Au(5i<-vdhR_JSt<@#}E zfBjkj{h|i_yTWpl_9J}w{367sh{cx6tQzCWY;21Bh`N&IMUJMl-YvX>Jd1~geNb;g z0dV!@CFQ?GH-Gpvy^en2O+Hb7ol(`jGW_}BS=3*(w}P`d^M+Wi>qd}IjYM##(NS;9 z#Xqm1H#+i)y?1K#9h97LRpYCXKB6DEnjI8wx#Mw&^urbqpY|-&a(*(F_+O{VXKn6= zmdn1u;No2^+9%F_9OGqu%I}50sal)n-F@S2_2S$N^10Itaq_;u#aO+_vK)ESDldG* z&-)X=^OPe0sGHD>MAzw-%UO-!FW%3__*b1%M_PXsT^s#kw!grG0sh7$%&S$&BMTr-xF|F+!gbPPe`Ty zy;cVMuIgBDfmeoJPW}V&uvPD9z6_7S{B;t$Q~XV*qrI}p4q^Sxpw8gJw-EAa`o^_F zJiR`{U+jKM{W87PM(Zy|-XQ(!!Zc5l&(5)Wz9Ki;B?i_7*L4ccwOl<~O7Y~#NBy;_ zLV)Eua2vR}@{Y#CjPYTXi)-zuy(K469@5gldE!>+oq+|Z-mY~~FMI6)t|lcw&tI>c zf_T1GBJNWGT=}2DxKf`p=VPZq7rZj+W9&$8tC#CbQ2y^6M?S^7KS$Vd^XUV{6TR~y z?suATR_`n+Li(KLkWZ0TV5lv3vR_BuRIXj9mnGMnXSp2K0QqtDv_yM_%gedehec!q zH=`8g;ao9V|94+U{48e@@w($DS-t%F1YD+9Lmp(M)6hEw)>3;@vLVkZZAMS47qt!% zk17oANPmnU6}SuBlza$(w#T=x)$=&ocVwN*7`IMVk67@kZ%7}x2YP+~kwQFSB@sVc zwH93ZZTa1DeV@*mvgi_U5m5l+(45B*hc*5nMNKP5qd=Jbc8& zp)@ZFHKB2JH-+Mv*bkhaxsHC3(M3t$vlFIP#2kMPRdn*nB*IA3x{F;;_$oiPXE#Rtp zRhlowvLOFv5RFfjatnDD)3--jy)#UsUUshv^v;_}*kAO%;o!oVLi5xm5bJ=b-WFUf z%!T>)Nz6YxF7x%U9pe>LmR-z|6cPlb=1J`{Qx9}s9c zd)fthr(`~Gw&FXS_narRUpp20z=w@{K;tU%JbZZc1msP&?i_35G1DK?y0NMe^2{&y zo@@O@a7Xy_sa3#Dw@O1T*T1g@7w3KhS5c2jTP|nO`A1hSPWqViKJr*&T6*-Pze zk*k;GW(18})vyQccZG@!u$pQDkxyv9mc>sY9(|$3Xv_Jr5r{{}cccD#Rb-U)(LTp1|2NA)Z`xm>dH2Xr z{woAx{_0{~x1ioxbl#BZp5#;2v%lqL0(3`j=82_ej?Rd*g+da_BY$>#luZ#!R zb?CjBjUEqwwsl>&)ysvgkbkF$JMwR;rYuU%;Lgw(USlj5srM+J-Z^NT zJlj0q`tW~mQvcSNjXapXiS59*<%JJxFb|xs>HO}H_3udgyDD9e;t#DIW&KTHQSxbX z3-PedKG+|1&Ju`IZM;tLcTI}1{_KY!_&dAl{nkwV3G;%r%0awoAnBv-F1C8nC=YzZ zmblJ-ot_418V!P$vRq~GZu4gZ&(@R8TYAbusa2l&b!&dKb&mCCrS~9C6CZ+kA=($kJ}$b@`Gj}-MB}zspZU;Fq5a6X z=Z2mQ@tkY9@pFT}tdM|sEFEolKRD)~&XT!t4X zpGj-LbwHV5>#tt;!iV>%g?YzQ@~^Rar))HQ_+DC{`G6C_@L`Y0|He#=b3Xe6#kp-d z{Kfud;_Pj3HlhdVTdjkScy^BB$yIQq)$7MI_&pb znDr6un+f`!K=s~FMLaqpJjQZ6pCkVZ}>QET^gWW2VNj=vflvcb(4))hxJY$=uMl# z=tmX4isI>hg7iZtf;+|6*RnpkR5`?{y#vrLr*8+uDIRTtkDBn7@-Q(G=Wt%67&z3bB9Juw#iDxFW*`ONQNBg?IXPl?R+cHdX>xp2RKvW@4Tqo~*MPN(q@Todn!JU6Wm zro^9E-}o;{aaPZ69HDmgc@M5~Pr!Eop8GSn+25Xc@%q~8Rm;iLu3kN9oTonQXSq|- z16*yW4(|L^2KhIY)2Lm~+(}<+?g*>bZ!^yo8`^=Z99@UNKOzcxac(iV$=4tI1v}Q3 z_<~r>M<*m~yjO+~@0ft~iu;G6zeJ<+D=jzGe}`VSj6fdv)lbwfiHC`QokRKAtUFpg zt4#a8EIb_CM;{>iiy1_&ak0dy)wAjLH(sVSD=0BZc)rT<@X9cW=UBZhcS6EPgxsUZ+QWFPjM0( zpkMSK?ikPNYC8H$PY7OS>y^_Afb+svsUOSN09RKo!(Z^0RIe^N)9TIWpUCG-9^&^3 zt+1Sb-w>P)b^~{oWI;UQ$5?7_{wCBfo^P@Lvib+WRl88i&&@S0;os(O(!U=|JT!*Z zhs*T+P<*WdEbK^`=s#hql~gDR&9aO}mG4h5Y*~^ya8Uz4~J5Xj{(m zdB9&k$~=dk{$+&a&eC9T^Rfl$19y*uesnx>pL-O~)b2PBsO}dipL;XUU1t)8T0P%f z4|ax8z3-%0vPj&{*%Vnc^F)Fx^<$7&z;;lbH&x(Z(x7-Pz0-o`M74-benep%` za2i}J_ClPd^Wk}x%k7Q8b(`z7z7=?idex03;AYu)_^46-bFAJJ>qL25^C!3r7_c5b zs~EU*;SBL@d1EaXm6}sL2cKa)J1_dg6gLS0ZmwaGAUDO7Kk=;iGd+M!(2_ z&y%c=tbY#ms+XfMZgu0g;Z`pizagF&2p>}^2hOWv>MP>uxvAbxmnaWeQsM73-bVTS zG>-cBJ^g;6>e73(uIH((KWp0+dR5nr;wk0d6LFr@;5_zca2{S2?d5Zyg0o?zFWR_G ziNhM#Tayrv?s)-v)?hl$f%4dSinBs}^t(|%f(+PKTE36`+LFq6n}g;`iqrkSm&Lg6~IlM z5OB57JJ|Y*mw$lko~JP1%^|-rmdiD7;cp5hkiW-1j4L*S)&cgR724~#24Gw{%d$~^ z&K-r1-j<+}ZMzO}s&|uf-ukMku0!Cz>~CjA0GGqV(Joay1)Qndln4F==XO1=I>pncFZ3+H6YDS!Eko_yGYvfB`&&oruP>DZ zmtSe#@vG_GZJgriUij;V^WpFOG7C)j!}<)d+~_|k&QjEm?B5_|xjY#U z&eQ2!WETB6$#V5;GPw3CPU~2OsYBu8z7O1KJ^r?r)eSk0Jn-*#k^W3oaHr80v{xP9 z49=F_L_E&Jzu<3btpQiZ==UAxXJZn;=o2waDxft$1vIN$O@btum+O=!M+`+2a{>verF9-P1^tONYxi5*@U z+e;+7+XG z2E{@zVmn^2IzG7`=8HN$mi$Nb!F-VwFJu1l)IOxovmEn+2ekLG^{NK$RPP4*-p+^j zt%!OH(*Ng(M_Dkh&G_omte#I=gm~D&U*T{54jX5=lNt-I+w7xxJ#zIx%UNjVKKnh# ze(Ee9ImP;$gSpTz%yT8}vtczCTh2S~ruIIl3a%c+$5^gj9Y&lctPa*sbIo-&c;)q^ zpGp5`!Vz-w7c)YzKIqf5o|~iP&@ZOXCG6w! z!Dg!WW`A(zJz#>Z*F5zj-faN!2WF_{d?uYkl%Vsl)1@A*1K&%VHXq?1(u1L=C zS1}jCo!~O?VOJkue)0F6DgTKZ;iEQ>*lvAfu>|PZQ97Tq&&^s}A71}6xDp-UuUtN0 zUpA}PAs!hpi{hERp4Q>2bbix2PN81&U>@F^bPJk~+VwMh#GO~DS5@B$e=+bm`OI)t zHXc@u_BEboG{wL1NSuvFFc*s7yCK#kk*_fNQQW2Tm7e+-oSlnJgwOoJ&~vX~`0z9B zHd-#@>x0Xr_L%Sb<&Uc^SC?vmi*<`>U%RmbKF-^gl>hJQJMfLXHP&9mI{JSMHNG6? zyOZ8)QE~=1#a*Cx{!pmbY5y(Ma^~$$@h9Ctd&R7?+WN@dU7*)5=sSsiT@&MtxA+m9 zduPQsaZWuQZT0+e6^duyD#WiEeSTxV$I5KK!r%0qOa1j}1 ?~rG{XgkG!c>6f` zIOE_W2h#r=m`;xuBc7TEsoqt`@7Q}Wr#9j=UeqqLCMV*NT{@3|Pt0{1C-uHiKaP1l z68wPyXR|+0d!JQMmh0vPDbBR}l;?Y~v8X3E`G`Y9px3|5q;;TcX1#wk24^nen0I1L zEyQWYR3V->*Kqg*1c9p)b;;*_Eb8UHBdNWeJA#WhtADq8)7Xdl{Q{l$%vJBL@Hsq` zd?wL%C-uz@>lhzR`;=Ptl-BvrS;r;Yb`_)XFT+aF|1zi2+hDFP(?o%$WSTF$r9xl3mIjp`kHtCQvWW>x6biJ!pbf36)Y zm!D|f$yR38Pv->Mj#&jk6WD8YuDb;tC}0& z!$WS2vU=xAIkd}c^`&ugsYp|+m&f{%{!|I{uT%Qd0;^ZM_f!0>eX%YXeQ~Dcywqii zr^YV$u+KxWk4t9)`Jed?`PWsZVIHyi)xh;f`ac;}HyC*q+d7f{O)~VV^S!}{rvSb0 z>l_O(esp)&5X+ta==>ulO3VvqX|+<8>sRzXF3U~>H-*2@{QZx{i5XT0M<2u~^hR*8|63bdZhB{)Gv96j zXWw>5g2$~Vy}Aa@clhDGTU9#;u2mB1)deOlKs`13(K!Du^Z(XnuETo5yVL*aiW>BL zv}){){?hNqlh5Yk*mv0673eR=(+k{Gx(=@1yNtB{Iy<$?JR`k``8LFIvGNr1p#NJ% z``4345thriwcxD(C~(~;J`DOULDY}k^I;x|dV6xP(=`QF{6b)4m55S?!w zH~L=3l2=W(+@w#X_|Lx}|1m$1f6dI_Bj(coVd^~oIG^x1dQUN>v!K1AN6ZMX3?Jz} zjp7fj1Mb}J9%Q+Bl==N+VF$|F%ZHeE<{Rx(&XEXOm*RTk_fS@974=uwX2iquO}9S( z_xHau18QkOj7ukc(S17(bjq&D_W!}1`6X$eD?`6;i^_+v@2ERPv7U0(`L5MF&4?TS zhTtscPgwtDV6~X!jB+uDe(zKp>HN<_u8y{xf1U?_5%DkWkCRVLMg3)mk-zzc_O&OM zunwEZ7Px1r|DoLEbQ^AcoDQXFUu4(7b+uCX9wI%)(SDH22j%iWHJq#E^LEs(GbgD2 zqIE)Sy~49Jo@Xwxw6Bf!9Blnn+syyN?wW)=>A&udw_N<;hkO2GIry8zPwlLay`YXMi9=kt7Loi%&*?2+e?1?{`F>)0a`3uY6%{RWL0ING}b z_ii+}o_8hgJveam*wOt1`UQ^m8{~Ma{v*Z=O6OyS_757A{#>qlojNrtm9NAn@&DU@ zxfo-5>Vm(0(m%zcAFsGi+4=0<)bvlg_scW)Y+e<(hj#tq55TB6-lr~X;YD73R0HL3kk zbF}Lo8SVSBpxt)rg?4tP720_~M*KTF-*^73Yi$}|Vzvt|ezhZ`e_sBMYv(?S+Rv6g zgZ2^heS4-3jlapZ>rQ7UZ?djkETDEhYa{hvr1%ZjF8rIJU9P5f@%ipU$4!~$l;;h@ z54-Q%(bT`W>3PewtKB2euF~=ya_vmf_u1#DC$3$0y!zCA%3W($p*@zkDOBd7<9tMC zYJbu3wrkgGdSiZs&q#doy(Qi_oyn8+sB2fbGGSb@{<^D<>qlEK4&LDVSFT<7UZwBX ztoq!w+whbBxlghC_$jp4W6*2;k-mTWxOMGp+LSl0T?VY9@5|=+v>y)O`})w^bNGJ3 z9_oL@b>vn0?m-?{?AF(=UFS{4_t=ve7?-J4o%)vnC*j|r_5+`Eo!Gh@c~{x<+{Sa` z>WJSy+<@=%%l04eg4Z}5_p*a%7flOj$L-I}7r9T}SmOI~ zM(`*1Y+l99Pj&5=Dp$gDlURIT=U;|)J?->He6M7_((aSrtcUO0{d+Tu^k>;75#uzg zTL0I?JzxI{ar4%Psl80cYxw?=BG$FDS;Of2D_dm|>5p>21oX%Adp&mTx=dz#U*2kl zcE+z#oxTdW=Gyu4A;^>Rd4_h~@)*V^8*X{!+HIv)sDGJIFsn#^HX9D^O?AA*X=?Wy zNp<`19rA2TAC7hH@>O4|*K5ZSuW7n@Ir#Hl;B37=;xHTQK(FHqg3I5}Vx6(Huz2*7 z+=F}yl&5hg++6|wxg9vK{}bv<^KP7L(ENf?J7IU1bx>l*0V z^@3ugKcDrodp5=GET@;D--4SNbuKxsen^|^I2-%|buI5-KIgcY<*gjIHjwm5ZT@oH zK01MZjUmpeDsX=4Ieg3&%A0Atkof9r)18l+HyS={=x^lnAR-$6*@MC5q^vicKmRFe zhU0p~cyKYfE4YlzJKJ#?Jb`$L^~8%C=#3X~dA=U%%=(NAb$S!q4|+Y;i`Luz2TAbx zwjwyYRgCIpY=b3^iy=!1)l3G;5}l_~4E+&B|lP1+5;Y<_x_^A~CUA3Fk1bW$OBIZ#i zl^*SU)YUSi|2!6)RUAJ8{!jNnFLoz^t5%!+ph2bkc`*pg0?k3wC;O|7Y5V;tRpYTp7OHaU1Xr#S?#@ z#yg|nOvhPBJ&NCFDXpW9J0?1RwT$Xq>w^7B=dnmUN8F?EG^f}83O*_> z9`&Z*^y%xkZCn#Rro;urFHR?6om$_r#2+;T=Npe=U9-jYDQ{E!k$-V7vJK)a5=-%C zzJfS!arWdl6c{UaQ+XF5}*k|GqECzj#(A+4-By zf08~gty8`AD$XG}I2-b;qMBg+>J|B7oR3VM(%o@$Z3DQf`w9Mb;!i^z zwGW0sfMB1+w7YDbC%7KfBU$9@X zbGymkE9AV7izENz;m)6PPjFN5{6)ukt9K#p(;j$1`LDG9f_qlgu1|G(wmKg;%Ud4# z)HNeVyLQvzBIT`&p?+_Tk8zw$sD=EnT0hZvubzo{ylI}vNq)*{wCI)*r16Q&5JynH&X^Uy%xK{*=U+y7U_+BSnt{du1-89 z|JUV)IlbBUn)ujTRJXBB;?Qp?TGu+$Vd!<4L&|Y^(Ua!gZUyIdEb3OJGyyjySAwh0 zM{w@QJaxeNkL~GPm=_xcpDztbe{Bci*S@n*w|0DE(!c8oF0W0-Jo0Mf&pPD>7b%x9 z?>x{4diL}p#aVb!wDafdA7ETM;So3s%&i<}p0~lxkxb+t_ao+4XQw*Xk1JC=8}dcK z=lvhhv(tXyX3@29$5n7NxN38k_Q~W6*ssj|c+`WgPx+LeLpJ+3eNZ37X~Sq9P4=uf z?@aeo@ZtI;YQN@ur^^x8K?B)A3 zFIf^tA)b5jG%mkt(5q6#un*YAW5HG0T=c8E3DkqQ))riN<->Z{6;@;3#kRHRmlu1A zb1?mUl`c;99|yO~k7EC~Mb1PZ{%Mi$;S(o9&*yse0FUfO<4P$+Jpa3q;Nd%d^MdxQDzfOYx6?y2R=2oc-umxAw>S<xpa^^FhljF^i+KMr$xowY6Hzh@of zpZ~FEajN4LX}#E-S<$b^Tw;pjtl&-fOOLOSXHmY`0_US%T|qo->tf_VF1XyvahZ^v z@-T2IxGg%UE_{~KdCj^uru7??d#vNCet!7q$^Rf8JK-VDN1jOUWjwD%{Ibo^@y?(5 z^@hLreJQxQ=mWj3k`-Ky8%TWXjU`TRx@N_A^^!3c+%xy+hjYiAj|R7KS1CUOdW5)k zxu*tv*r7-oS8bj>)$wt?!1ETj3eHO?%TX;l_B7M&yhEC;uGdY^{X}m z{zp2HJ~!R-MUk1+9cSNiaP7T=^f?p$mzs{%tc?3c^CJ`^Sh`H&qvX?&Ug$2kCBw0+cYnH&Oz*} z`tWwd$!Z2*UC86#V_&t|FVncu%<&)lRQ3W&CdUya0{2*0#Qmt5u_zYZ70EIxZh> z17|lMfZGbKpcjqk{YBos0z1f^{d>(7q&oxP*B()%LeTJZuK^w#^f8o~v*>=flsOq&PR8rZ~Ht8;5>x z52HFs*#Ryy14x*i<%*yw)+OmI~%|g z;UAYBTy(1sZk}|+KB;&;a9$`UxV+GG34AslgFpXvDfWL+DO)UfOceBbW@oCCV4kes{TiCy~aD(`Kb67@MrBFP(6I#yq8Zpmz#%yi}!w5cjn{> z%%kiQ0WOP;f{*;c&afyew$!GpL_~`c^C=WUR#kv+LUxS-0LlF<_mo(YMuM1OM36FQ+>G>Y* zxEe9U(rXdm95@jKYy zH_OqlZwZPgZw}NC8(J0j9FdZ-UNU(gew#dbR%*JBs&$v*8Fq^92}vg2aXBv)T!w!E zw|N)R?*NH!iMQ?pE?+j*PH*>51-F62P@l4HfAlMtS0ex9+TbjD9rAAvTgv~(y2L*Y znTUQ<=yyePqc^xn8-V<)QbEwm=PSTX;WB-lo)7;K+{UiLdSrT7xKBFQvlEaXrh_nE z)nLX7$CXz&=|_a1&P8I|QP2k+0Ox&|f~$KuIylbLJP<#>oALh@D}Tf9S2jB1zCEcG z^fvk54yoyS^S=qu>%v*V<;BuCzr>qFaJljr?HfVUS~@+y6pc95+W^F=Ta?0klW3GN zUxUk|o<&q?oG&uuG5I8wrg^;NP3!b3{k~*-(eK0hbwkXHsZk#5j%CUTA9b&HqU+Z_ zrTtm@-=_I(Ruh~JI|qMJx*M&d4wdkpZVS_Uy)96X;yIlw2|m;7!e8yIp5dQ{{e<0L z1Rs{a4V_0NuKW3<_scHq0#{i^5YHLa$@%CDztgy4=)BflyVJgLnSMXy(`r!ON|qVw zeAM0Xm@k%}&O0%z`yj_{xd6n&o9v=_+2I)n|5j7)p}lzu)z1%uXS-(;FdcgH=p)th zAKxK}R%xV+R8TtD}v z`2WZ;)o~rR2%HVMM|EC%Kkfte+V2$qvUbqhGB?J-=W!L%i#M0>d@VA-eX0TPDgJ^v z;bVIq#yw5#?FYT8^9g$Gb!WWO+b-eYvMi@Oy!&>V<9hqA;I?9O^vl=3iv{mfpL{yp z#XiPIObCL{{TSlaBjKaVhTuJpd9*{`Y{jEAu57c`JH0sdj{1Fe7F?BX76(37fU`cY zQO~mbzb#VJ^}O|3j7u*(N&EJ9&*+|3SJQa!48#7Wy@p~Rv%lQ|SF8Uf{pX4}mred0 z6z3Q(+7GMU34?#!3FvvtLFBXJHtsFD{J+%i2Y+z0<0JMT_WlR*34KmJ;~paqI*snz zyy`C0kJ(jzx$|ee=zb;N6s5X)Rci&fJ_R3JX*%Y`6m1^ulP|lEp>FxeHvZ6m z`;_7=HH7?U?#275F7g=Mto9_{e>UY|(s}aVw+s1X6RTr>Rr`t1i_SfXf2ppWzxmV! zdRD(Y;<4SI^#{)$2QKb4B!2EH>WweILwsA&3odRg4r=#lLc-xM|Mw^9XY58kRVS)v z)u}P&oj<&e{Z>vJ1|M6t8}iA+7ok4&7+=&6FRSTX-q?Jr^XGj}!C(JFzr#q6XpEQF zS_7^wc+kG&Pyer^{A<9U^&10!JNdyF#QCZ)xUL#N{RUAf*dC@(~Jn@s= zr;^X$&mL_+o^?xl&(d+U59o-F7_Yt)G%+<@ZxTOK9yT0@j~IABIWEq6!JnVId(Qdl z>0@vokQ>gbmxW+Hu_%*Y#SnT&qz z{A`#P?Uj+AH{~&2QOgtSh_AYYIBk(ylpp`P(avA~M*E4{)dJiEUdDQ1xefH<_&>;l zJ#ZNJc6qZ5;xVnpLa#2Qjd0@==L>@C%k=*y=F~l$o1#s|-#2*Dy5on+4sd!_XeZ_E zWCHxfvi?gDPtCuGhYp~4KA#`uxT$^sTonie*Nyz9IL@P%5Pv@fTsBCEbXCe)1q&$?_0xk+w2WOsjF9G{tt}uv)UHSrU>mDSZ$7e#Iuabx6eeDx) zzJJbW$Ibf6;PS)|STCySS@?^deQ6!73B`I>!)|W(N!QERPw>~nCc#IA9%c-cJ<&bWU+b_z!Y%>b??|$CtI4@51-z*e9 zqO3pGi}czx*|m#~{lQt!B&-WD<8yQ8W2$)*_w9}O)d?4xI=!4S2mP|D9<;tX1mT`< ziq8i(58A<>rQHm7J~D#-o`;n=Nb5SBp+0#qowICTDLVJP&rNs!x_l;Dr<2!!oBM%F z92Xu`Zzin@xUIA+)N#9PFXA+_>Hcg_Pn-vSY9-ib!tsp)#t>O8orS08y( zEx#;wTve`*e$873z3IF)$@!=if5Ts2DhV!ikr?ozYbihBqrutw=Qu}LLX}|M0CXOa-!(36ldo=;C9sWW=_uo`hxQs!IYm&pJ%5!UO*sDTcr!? z!6tl6bb8tM9_3+wA-X@rg)DH~bO|N@M|8gxX(f}KkM4LHTuv_uANevk*m2pkJ^WSf z&G2DoqPIC8H6)(mS$q`n$Tb`B{w~`82X4Qj_Z|ID^icSWS&n$b`Xcfsa!|h} z(*^X)mxU~JdNzR8qt^63rDo*9dbGc8gg@*05@uqBE!q2EH~ zC_gd|_0PK6yfXh|jd%*vJ;YXj2yRP;q2BlwTBji1DiXxe<>!x-rb@)r$+@VkHA-(d8#PZiDuM%OM}APFhq{;7zkr9?INDp6$b9 zap3dFM^z4mUW6YA1wTXm%2Q3jbMZ zIhMv%ygTXJK8tjEbEE;{(YG5T9=W6QX2)5MK1fx*^$QBZ+YgSl%J6qzmuGKw88oF&UA0rkA6nK=2Ff{sV<&v8T;_L z{or=iUF1jYr~8Z^^_KXKQ&XLu7kfbQv}j4|ciI-{<>GhX{P9uZPm{6#h)B90>O&dt zL1{y}I3M|e?p>-^Z;I#Dh7RDxN>e_oHv^Z2@3(bacjyW(W*@=*ffdT%*(aUb`sqWU z*At6le$9>Si&E43HKleDzuN)(k}0qWzi;UM=P3S_2WY+59Y50P?NZtw^p?Vu|GLw{ zoxlD}`IH~%?_~Jd?VX{|)*1Qao+qGJ#g>kBdYf}G^ByVJaU9*T7# zy7y}6IJ=thcf27n;O3j_)Neg{KQ&(UP@jB;8RGg?i!UO6_FE#xrAoa(U8xZ%f<-?Pp*VWonoeUfvfjDb5qIs#i5%Jh3rItG`{QrVp zt)#z$5}&rwIT+dldb6K?cV!VB@H>F{Ap&|iwl?NhpJ*H8d{~=g#BYKP=1V1Pibzez zdhl=H`qmWW&A!z?J1$?|23N(Gft$-L#&L0+?om3RBsh=rSmrq2nsIMGTpo4E){JWD zlg>>KdXKYVXK3H^?p)OAbz);0*M!Z)U%&6@^l~lTGu76u#C=PS2A{J6dSkAE^L(*5 zUxYaZZo6$qzbenAuLc4syDdnALiezoEqSB+?2HG%Ydop>nmzQ(3RLC+)K zK`&2v!e2+zekG>T-(iXo^>II8L5a}I;dHMs&HIG8@rou9#9!A#9!!q^`hX7&12;{3 zf{VqChr4)8*+}G{2adx0%1OIsIz4|I4{k2Drg}TtdzRz>|KItULRkFXCrDU2tylK}RE;zsQpb{i;RR@o9TipnbCE33}$q_@3T$ z&CmI>QS^6pYUDMnU)}syI^U}l#xomLAO2#)K!4|NAGal5cnOW~%Ms*9-#HI1+BBrR z4s0Ch{P`~lcotP9+D(~?^uAeYAMH~`Q{b=TzZvWFro?h^qxvBqrg9zl$Wo8N#r9|9 Ymvs+*7t){U?|WF;v+%dYhR;s@KW{wrVgLXD literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/12.npy b/MP_Data/pose1/12/12.npy new file mode 100644 index 0000000000000000000000000000000000000000..3f072ab0cd87268004a1b35384ee6f8a89472c02 GIT binary patch literal 13424 zcmeI2_kWH_8}>&RbrF5pYqe;PM_X2q3|3uzS8o$UCy0`WatRT=BvFDex@gf^EkpFW zx@QFwJ=(68?6Ty|d7SwR-e2E0zuceuJI8&@Ip>^Ht~+;R+fHrTcgrNki4d>;{(=2Q zdwDxv4F>$^Rn_qt5HNboXulDC0!H`uC*I6&SfGD84;`(iX-kYC2pU|tGndcVXdrx>s?e_9lwCj+O zXm@Qzw7W%uxcw@(J3CLKUG?dRc6oXnw;$tnd-m}o^0m3W&~BwS+EqF3-whdscBgx5 z{`|-v(eAY8b|*Ru+D)!8XcukkbGv^={3#utlE2E+4CAvtxvx|FLUaGZv(iKKe|HJm zRh2?lsNM9>`26!ah+mevb(eIqd#t5)JD1yS*mjP8Y4b$*w5iAKn%mWshsnfEjwZ;n z`D@q-`n(gs{i{2k52)SUG7Rlv{YgXZc524w&&+sD?M|25Z}6JE{sw9n=azxH8|&O4 zu7>sC_N`TusNHPrhxrkQM({kQ75+#%Q^EH%wabWd7?%y5{XgP*_#TWy_VIg9?Kbug zd`=#!_7}CQpkpcYDu<ji4nFUOowwBPgr5CK?e39Sd|rLm6t6mHJ3jAh z%5)9w$4_!y96E@+x~Joj2RY>H2l&Tr#plE~^Dr*Cw+ue72Cq4f_L#=cd?}s=6Onf} zHD40F*Tu$g{A>90@`Qa(T%FqW0k7NJuZ*Yn-7n0;`;YSxw~9T6cHwhnHE}uf%3^wT zF8ks0w(jUJ^j^#lo*$q7qDy&IrT3&m+AWgFdGM8zxb^T0WFNKfFm6nf_i54$h3nGk^NH(wU!h29H|2VAJzqM5cy-{pHN>5)-MNmB492{w9R3mD>k5L~_gApa zoZgdGz~@$H_BrMSA93~bTH>PY&*1L2ow>eR?1sO4rZW44_qgqwE|a+qFM>~vl{}8H z(cot5+mUE@O0xeGaf{yT9rGf8&Ww3Cl~)yk&)#t6&Ts6KoHvlTZZMGdl`7l8RnwY{ zh>P$S&^z8Cm`8Qz#Ypm3`O89Y^YQ*~Ph}rMT;@2y{-;(!FaFLlkhne&$vo^fxK^eS z^!K}gtNaZRrO!9Nd9VBRi4M7&%Ex=e~tk6^#<2l zqEJ8fWI@!Me)bYR+M^}7Q#9K`(wmqQ;BJ8!aG7s?ID8i8f{*#Qmwj4>V_nEVK99wW z>)@jM!fB+pdJ4zcGY0i0+k5&E7rxawp2t^t{jNKRbt;RN1y={W!PVwOtZUt|4)UNU z4dQv(F{&nfx-EdeEn$&29Xu23&h?4qes^7C|7O*qNN=*N26xjYgF6$eaDHmc<#|av z#(Iyz9iYEk0`bU{vDi;k-`ASB{u&Rx{IUaeZm%_-PTbxN;5d7|16O4h2N9ROuJF3( zQt^f_>0aiEqE~q%4)K^FsnCnWK&*GScPDV&A(F>?$iFf9xMe!9zI7?&(|!05ajIM& zxPCrl<~&bsv6cKygB#G>=!|vx$Df#A_xH@4|6;zpt}jN973LkyHYY*Z! zW(&AXOyfGq{bexpu`PMLj~DQG&o2jee%=hdjw!+Z4SI83y{g1Ml{P|erXRpQX3v%Y zcM{5ii{6R6-!9w7^D;B|8jVL~oj3sT^vMS-63oe{3r0 zW%b!1f3-VyynJ^8m{>jhtb+K@N((5+|I1gRF1-F5< zf{B}vJHSP=x9~T09uFlhuDxX*aUXT-=IgZ_K9_i1o4*n`o*ea%2Q?_;JPq8#KI>D$ z;NR2-;}xyeGr!QD>#+L|;O?q6I2YWnIeDK6uFv|p`w*v4zL+obssXr6?hdZ!RG3Hp z&W?txpPrlby94;#`N;jssy8{#BtF+v^=BBDKJ*IQEkDmC9~o)E&F@_2D)e?J#yj&C zxJ<4Ff7^cx)}tPKiS;Y}!OhaKtbZE@uIfF(K53qnh2CAg6!l<7JwiV9x)X7})NkG% zh~Ir*o9j7yO`Lb;?FIM2bgI<|2H#&4K6Z=CK4<6y-J(F=T1|8J~Lhmc%8m&hI5a1OecviGAn?XXhd`rotI|3$5!Fz}b5@NxAd=$+NJC-~To>~p&apQr!K z!+lTuZ#VRE*9iES>e+C9nbGGto`|`~n_E3>ImP38-$$K@_?Ddik&PCSzc}3n{vx_I zxV`Yz=B#6%&_HXsFY>OAWZzwB6Kfp5Crlq}70wkXW`nY3X7akZl{>P>|5 zzU@}drODr@7|z4MDTq^+KFs+kItKo3`CN#{S^Ih$eDd=1t$C7z<98BAl8;=>=e7Fw zCgQQ%?@b~ujsQ(|ir^c|uRkK>WY(t8o)qw%_X z8|U*%#=TUH1|&7gO8Zb1Eu6g*eXl_YuDu z7cn0G4)04&>1ZBTV(LQT?*2^hcfI<7i(6Zl64%xF9%958-UoV&4v#1O>lyI3o$f&I zlT8Lg-XP2Y*%nom+MF6IMJ23ST&ma4Qda)ifT8QxU>Bg&&!Oj zm=|-Q9`4n)P#gC7?H0JRV^<^i)GNh4&G&-Kq_ht4h(LRB}GzxzrZ^_H%1+J92L*aa%2;P7=28yze`NeN0Yo z%s%~mu|q_uZr@)VZ_BBO*Q>>oYSm^00>c?G`bB zxO&FlONlzCz>WMojeOi+FCfq2g*V1)u5?&O+}_I%ANTVEoa4^^Y+>Xh+VJy^Xq^-5 zLidUc2S1;c^|zaY+qf;rkF6{?o``7Xr~iOnwt4l4`f;jM7^$_^P9|xE3Uh@5+ z{UzKJ>;XQH+@KfW?ySPlJD=A;ugqO=)%Fg!dDNGEz6oKTaBDpIJCTEsXVb1K#;aeR z9Y=A05`Ism^AC0(* zer<`Z<4AA1aliK7esEJH80U`MeHT8q>IL|iZntqS)dl&Uru&^oest1tJddmEzR0H; z7>jwgQC>0R?;hm*+o&JG)vEeSzytZdss`s|eUEBOiQ7{r(XaSE8vDQ7Ico%Qc|8pN zLUll$=u;afKp#GZ=kb|EJfc8kFmZLU0=T{W30$q^Jj=Ak@Hb7KW8T%n%Uyia^`gum zaQSioue*iw+5auyPi)Rn@UcUWHzj|!$aBn>yCevDH)$94VK<)-`_C)Ib$fOa;?bLq z^ZfcRWM1a9Bp*GeIO5ddJ-Plr>_I)4{Ttxp+JBJ;x$-&R!x!ggesds?YunjLh~LML z9gE5l{O2$I!2>ogML;(!J&o*JXHrkdYT~KFUG& zR}fdrkMOvX)0ns2hVKEC-v^GrQ%`U`t&N6%5`SOeF5vGOWWUs*#LakqZgs2G;`)zh z9fW?P?_s?5@(3R{g4Ed3_0x@2v=XvBuKbiy|=^2bVmz@TWCcV@65V%`u1-MgS&@bRG`Trem zNGP~|@F&+>Y%|Wo=jPxd>d%%Gr`i$(?)1yXy!E0+#I64daI^R<;uKA5`Vg1rrXfx@ zmgBTXC&y90?tqN>>QkBP|1WQxFV2Ky_~=6AFfRSd3+q%I%Za)*dHMTc*}FaFMUCZk zr#|Iipa0H`p?>w39MFq~mghIR3%ELYna35-nf1SS!*i%;Qv-UH%M;wm=DnJH%!}IK zZsi)_c6@onBm49BA@*hq9&gH>0W>bF_QBr`9>(+a?em}E^UFDKyPEGOrrB8D56|=W zhoV+Z=yk}&A>^Y{#$mpcXCZJ^w#*>n;`mU+qi5~s`ARFXocvXX&?oqui9`L!X}jjq zdt0CHOYZD{kq76yme>z%qmoal-AyWc1FyxaZ^q}hrm+9|LFm_%`F9+ADpiKR)4w0M zELJxJ{C;xra_7!?FC1e8W^}MOzZbBL8?TCKU;5YFU$Fsi~ z;t$v)*%P|r3}wTP#2#c#y8Y>|t+KgTvf{o7Zo!QFbpc;Acl#Phg%`4C*L zeG0u=db&MS?TSL+;>(3Oq*r;a!(X*JgnXKJc`?84 z4gSA|9^4IFENQF}Pp@BjT#*$JkN(o55BT=w;PR60 z2Cv0j#A(-D<8gJaKAn6_Zmwrp!3Xp1^j(JiRt^{jA05}3^L+E0Ao$#F%j>SfTFj&E z(rg!TmBKzc`Ygulw7QM)nuY7puaUgJ$-^!1{4Vp>hQITA49{<^U(v4#E(vaW1%Rsy zNBziOzTd^;s&*dh-9-H{g}6~~IR6i~a{fofp|14sRB%h>?sh)O zK2uA(;Hkyf|Nhgf{xc}%0UWiAp7|T9660rZsT17d|-cjJPQM*p$FVA@LxXSXn zb4onyMRD4~d)a^XO8DE=^OllcU%UtIZ0QFd^-G&T;%>X6tZzCJ+^N;yC2s011sCP` z|ARWE#SG$3>BHbEe<|L_w)YxGT!!ugm$_%*e&x)phWT~8cY>SDHJCT{;PD>Z4DJkh zjDB_h;>er!TEjk1cY@1}|DyiI7G9^~-X?(f0)MXHa1uhW-reZ;dwkP<^i!@+ z`{yM1s2>KjBE8O(i|1v)h{JrJFG}d?G|3|C0y9%2t-+%+$)?mwYaAeq{5`yzbU#=X`ob zLa(RxxJEh=xdHWW{Dax2^bo8Ur+5{Y+T|BNaOdGltP9oPNiFJE^{xnR^7h31+S+M_ z;n!v^;#98%)|dTw0nev8_W~YQv$pVeM|^R~$1aEfw;so_u0_WU!->n~e9o#GUVNVZ zr{FB|SJ9av6i2c))e}a30^<4|Sd#y6g z3*+k>ME%-HzcVjd4|!8w6|s(ltk3)ElPr9`Y`U|W{M{W-*gr=FaHT3Q0$;ufT&x@m zF6yP>9MN5V;=JV>$NhR797lR{@gMZ77xR5s=f8t{nn^vu;|k5k{wMP{BfV3b|35B{ zjKz5MlwCN-_0vX(Q@-egdQeSst|Gk+dy0PDfMUplShqKlxK11kf0NaN>u^bz)$!?E zX1N5e61lGI@cF#nBQk!URCEt~oJ*T_laIL=%|4Yf?&oF^?(=TIM{v8icgDWgb1?a< zgKIcHYop*}CuT++O23Qj)9^atH+7fdxyd}|^=MmWMx1VeqI;-c``>NspZz0zOu%&1 zt?SF@nj1GAK04ys3hLK}rg0vAX^gs+N84Z?ohDzvZT>&O%{8-u{GEftkWbxk5PZat zWm}1h9<{k1V!C6!yAQgrhu*I;xL6&-_5b=G_^A0U*}rRjOFG>%WD32Svm+3{@btpC zDH;tyC zUla8MxOn_G)}yF=2wZ=@^ni4-MsxV+VmvOR@^d`R8i!E3O}++yCnXEGn0$F6xW{kI z`||gtc3QYgTqWm3oc8uJUqRgM&pzU};EZ}05KP?h;A)e+mQmjT*3RQ+teFev@g%&oizq}w+KI9i=OpnkdIl{kmIS=81cxjOXG-(>;asg z)Qj+u&yUVTzXSQ467^Cs?`riYH$Gi1r*Zu|i92}z`LYW44O4#|^5DiKL2u^N;&Y*Q z0{orad@k#Camc?tJCpmJ&);j=Ipy(uVG8o|ml-h?^CkD{?QmxdITsNuI|1 z`8woTPrKd^K2P{wr2MynyPi+R5w|yZTxv)+#3QEv*q-9CpNeq5c|sA7T|N@)LSE?& ze>Y|a&!bPziKLfvOCWwzuRYeOF7mM<`MbXUoX@0Em|rPVu@8$0eBTpI+G9U7pU%u9 zA9ds^$6xvge5}u^k;KJP7yj<&;++3-+p&JdHr{{I$BB9{bxYuW>-zt~@%WwPc^tHV zG{vL3EdkesVpulEZoOue{_xHHd!t7EIcZQsg^h?^CBk8%%u z53b+TSVdg)+62A5$-iTfzqe}bn~wGMjQwQjWj^nIyIGRBJF6k$H2vauKP(jTD{++= z1nzFy&H8O0d4Aum1-DBQ!F89f{5{Xyv*6O7|IcM!CP$Hv@$%>VJTHLpItSiiKhY<* zvHxF-u)frrH<&NkX(IddzryS8S@kf)Is8Y~7kLOS-(;Ey|9|-2qLNwfUPu~4T(;$W z>K9uxd}@q@Pj1cmDL9>dcD@))Tr};9IGuu?h*M{IhI@-@&HI@3<>ztpVmY42MIzsa z-7W8U9#7#U~TGc+yiZmjCx+fzlW6hvd!eZ2m&fi}iotToZRI%_cv!I*EP8 zm%zCon+zXHT-4o!eO!N=@w>7;YbH^@qRDX9RX)%A{Hp-|-Ze|c^UP*nJ~t~)R?v3X`_t0GK_vtvatGO#jk-r?v-_yB^Mq~Zzqoa9T?=K^7POjSQAGv5C z#px_A0G(5FCH$oS>M`V_CI4Q>>DU1NHqeK^|4HQkBdP{J^XKC3B7U2Tf48Ks?u5S^ x^&*gb%)rjPe;o+qe1yyhgMWu*;BLDd=-2&a34cFOwe literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/13.npy b/MP_Data/pose1/12/13.npy new file mode 100644 index 0000000000000000000000000000000000000000..1063c395f2340f6920666b779cbe1b0be825f906 GIT binary patch literal 13424 zcmeI2_kWH_)W%12qOdl6KU%eKuK735j_@E)92agHz@wL3okicNyOdjkvWUO!I_Zsz^G-*)Ftrm~u|J#50 z7-RC^ga=-kpS<;)Kk-@qN5_#5t zjXYwX=cA~9@!^}hw%x1`q>}JB<4pf8%y()Q83-=WS__rXs_N1<5DW(26*2+7>9X1@{MihH~*sN zpVaxsw(~#tyo2skv$M8cEv^c^$aWgf>x5Ke+nuSG(rvpqx*5;QNp11TawOw0GqNEcPMLmbw%rK~!1H=qi|lBBL;cBo{a)F2vm+Zl zFS6R(ETVj5xZJ_>7Xy$ddG|S+g}%gl_+cEZ&&YV_TNDMCU(eAxiye!3 zP(gjb*^kxWqar^hTfNxZfqYCa)E6)MGyHY;@5sl!|8?6htF$=|{nlK8aj@7RaOcbL zakgD2mw}#lak&Ql%<{2TuM>-dtECOETF!G7o@cpp<0Y*F_18t{zpWiuHjo3T6QTfM413VPFdA-FmnH_LL9D~RHGe-zw#*Lx=TtPqMvyWFw< z{KoLvmg{Vjz}dJS#0#*w;040TC(j0O(^f+-mxPf|PIs!aiV0!x-#UQ!qY{`GU8|sD zIs35&xJWHa^Y!1*M9XFF#k8IRdm=x^d!plI`TnNJkNo`(<+<5}R#xwH%}sgh^8s8G zThZBa@#zxnua#Xe?~ZR$4eMj}#DMFPztTLmhzhn`eH>0cpSBVoSnEg2b?7sy(?St6 zkNt;_wf_8hCFsT7@!1F-hQhe1@;(=1>Cln{gdnww>G5a+$Lqxbt^Y z#L1molfA4@IocPsi#yi2%-Gls`s35dKddX_)bBcnTD{7*2zisSWoW$O=xX>>ECRi3 z@dSGLuu`n$>~v#_Ki4wUzZoAEVg1$QT9_AJ@IS0OvoA-2<-CRmxE_&^RX=X1H*x(r zeB_a~;5@0o0;?CZkASOxmy>?O-WbbubUvE*L^$)}!+`zh)K~0bc)ovv6uXewwY<--1 z^Wm@8+(q6@*A7^BqQWL{G5aFrXIhPgi09!d(!Y-ccRZ`aTh9IGz~A&fO#S-DV7_<+ z?F0Jv@z_sH+b0g< r;!*|>{bvj~4|_xPU(+=d{T@7z`DN*DSG+R&lN*{Z zw4W+*JH_+m1Np=^#d_D3dxP`m2~>yP-!!*A4)0EUL^4c*hjay{rR)lWipa30)Z zi}lx~uR!ngE{An0-n_v4>J2W)GdtCs)^DfUan{F7OQ3kdzoGfs?l!=36}K7O+|I!K zs>tE~==W56%0q)V#4q=Z^RwKkvk`hZwKVM;WBQ?AdEX6OT-gA<`fURCF>$aA@r0`2 zCjTPTm5kp*{?Xx=yfS@R=Tsl-&yx#+8=ou4r<2w&+_sylFTur_LznG$b=N1_>gC}4 zyAY^;LN2E@~n4H#<=vWeWY((7F?B`Fvx2qx4gIaGRyUTTG#5?5sEXS8}i`vp!1Y<{{@^sDTp}r zcb*t8|7H!iOdp9lN1V1Xm`|uYV?@$5cnM2DY-*oT+0pRVPZD;h-aUsfG@j7 z`ncNUpLk)Ka5dP6_@67FHxH*1ulNA_BzsW@dX|w$>$JrK{G&gZe<{KNuUr*j_1Sbu%94LCbo6zg5K{uF7s zS+N%VI@ey(Ie7i%FdL`Z@h!!F`Xu&${b}QL%h~cN!7;ODTn{Mb=o;refoJsA6q2HQRx5j-0 zjdz91D9hQ*_t2X{3otHzb1d>~uD(N@>X&4y=PM28+jyMzKtA$(6M$+$1 z^S%`7jfdoQtiRK2CB^gGWQub_GM#tf2YE|fEAD#B ztFr07(06Y``%DKqFGSR%#VNM`PFe3W3g)D|P5)yu_?(;Y7k!E$&#Kyv1o&*big--L zM5>3y^SfJadgVZVnA*p#sv5`pnb_%u@u~#y|ln`c{&^XWy~;e;TM}|xmceK<2AEFun%ybN--%` zUpt2Q+drXa|IWiY;&FB1V@}PW_y-3zgunC#SB0|bC%~_t<+@`KIP2Dp^59y{AN*(F!yh+J!DV7J*eM9%z3+{L{>20|a zLiaNfghCSejNoZZO3st`lt9o~Jo z<>vMv7#M3sl%akj%Qo~cY3)%@ARIT0R6yH@ZsMTgI?D1 z#rYz)R-pVBTTk&{TTJ)T1|JcRzFvUlxBP>-HXi-B3;gBxoxx>=aZ@ap{fbeXMYn)E zCG+{B-_(}yaqfE3x~uYj9rPbYQ=H!y$9Rpa?@;(3y9=(}7oyIcF8@)S*=NCDC#|MB z+2!JA{aKFPtlYR-#cbs zF02do?m&#?>TV7iSNk^L&YLU9k8IDtMb#zXqFi3wXLP^|#KQ(x$9SDQEhFHw^>=Xf z>>2viu3vFaP+RCcQlU@5`S-2Et)Bg}8hW036Wrv^0UvW?D7aHPjP$S5CtAI@=STB( zpeDv^9^9PZmB~%SRq}cL26+~R8R8Tt=y#J-|0?EPHr?FHgDQlAKCZ`=1ZNQNb9=LV(i1BuqVZzTn_W- zj0~Fu{l(v*H=E~!s}8dS_^#53lf@69`d`%pamt13;G>FvMjlv&tGI`Y?S;Udq!BdU zA)_O0{A%zJa8}?w#kqghSj)xb!r;186O31;dG@v39I1kMq|0KTPq*=0yB*Udvd^MLO*d ztifrVk38hh<(504zdgz!+`wS#&+CqYo}EYr*ZqFQd7(zo z?`Rpj4(n0*4WHs=$8~23@}oJue^65{BR@RbWccW7p{RfPys%^`U2BMQMGd zexGE0_})g~dR<-8=dFf#R3UmFB6qgKc%9%iBkZ_Lkv-(^7YNS6bGElWGUqAcbLf5| zHdVoXD38t_xcRzTS)cr=+8voh}*J&sD;D%ER2#v_HS@iuxDllEB#=f7;)+ zHpK67b3BdoWgbG$hQ6nBd3_%8zgLR(NtcxoDVg!Gb*G@$9=_lzau4n;diyi-Pa8>m z;3?X#R(67qX-Dso954S-i2qxvA04+F^`qCeT5bJ#FrAOaw+y)K+cDX4XU7@%IBv5s zFS7WJ80%x+{ega+4bxD!;_wka_)L5OE*B4nkJB^v0?XyJtT?9@rGEX+Vn3Imm*CI8 z{EB?)Ngq&eT4w#fMpJKa5HDhdN;LlDsc9a{8wy7ziRP*s;k+w52)N-XuQJ;ho@xv zs7+r;Kkfv4*#5LA%SEYD@RyIDT(rKTj9ZBPbb6fvcP>9eKH1+ju#9 znC30o4(YZZ;lz-8bFO_N%Luq&Ppv6Zg#i zla1fmOMl-W&iN2u)nS0ui|xCp-~7wr@06dHX!Y{oZE)UcDCrBY47Qwk90C_lX&%jp z7-hMxlt}t(QP4Zge+Kk*4iax%j`p#LS2$mI)E;ohHwO1H^}}eI-?dq-);bN3A^nH0K~^uuy@8$`O$290&LSRh zmLYHQ$ZzBmRtWbZ-K+q(D)R!|q}>{CedKLA7g(;2STD}5cH|#51oa@}BeCAq+84XL zGWGm=2E`d20UvR2YiH}@yva-cZc~XLDcH|))rIn@&-9@4eenaVFVXcb#s8)VxKr^4 z>YOF61lI>@gNqOs)Ef)<3aOtmk zrTwH%JoG$v;3cb5-yT8z%dk*zksg5clKKDnSiiz`2)Mqv3hRRZKCX`KR}88FF8lY# z{F=bAxh+@oViBkF)dlOzTv&?Vr@YHNaPy%n`S04Jtlp%?f$L&Nv98USR)LnYcUk9b z^Xhb-ekn7{D-(;m*=U{S+YGL}79?7(%l}M1E9-;npkw@NrVzkvH?UI@Xbz=Ry1GtQ^quO6QZTzxwz9{-$s>@(HOH zhj>1$r~FI^0aq>t={T++Bk;ShZm;imZkLXwV(0!N{{15MoRP+&W)3qRcOpr@k zt9Mf9?-|s@5E^gu1f1i-y#?ZAo%^63oDLsWTD?qphmziVcB3ACVjN zrd+*~QmlT(8F29f-IG~N6xJ8ZMSq{f-_ZLgR&3ob*2nZ-O7Z{u2hGdk>g}u#E1nL{ z;s?^c=QC-fmGo6EA%0eP(L$@&3urxx(m4<(e^+3a?N=Vz z0=;?pmge{V8q_U6vxefCHx)iS|GDMXN2sspmo;vMy5&Ds!94OoUueD-{R6I=Z(L{n zdC5TJ(+nR8A8~ii7RyDoMpTD$`(wTHq&9287rIgYODCcJo!p<`qwlnbKfl-1Se+?) zV6y$xQ${0BXIfQ^OE!*PoMQb)f2MH_o`rsuZ*5=8O^>SZ*WqaxFYlWl_Xp9t2mGC= z7c{?x&!XPc>1yE0FE8drv~Z2G{i@|vNbk87@yn3v6|BE=tR;pQ>@3S+Z=X6dv*U~ZXDz!v(N~Yf7wC>dCZOFeE?_mEI zpOY~zUDiM^g4*C5(F=}JJh{tLp0`Xv{+)ue!1bzBaNg!`?0dQ&-Mhr~Xv`NY-z~50 zS8u6__<8z!s^>8yw%R!PH~XmHdq)w!IDHHAqF2oXSNVKs-`h#|Mjjy0FRK*^f1Yw{ zuJzF!{o!x!ou_fRKH6-#IYIYZ5k%*>y7P9jjYrkH41d}9AmTCU50M|<;tn|9lnyTY z+@EUonJZ~y5BpPF>j|5^IIY);a+bYXAAqsJz9M?61&gMRgp zDTs&H>5g@wyU}}l(S&}#%Yv>ERZA|i(eB@3eueil?87D> z-ST|DWYNUD6xz zjHTaGyu(T8S@-fmHXiwM5#n?rR-k@#wfw%8tA5_#EPf=`g%jAKlI3jnA2hDj@x<4- zWBsxyx=)Hy^!HJGXb-A~3$*{}uPZSw*0U()#hL#ze00e$s-H{C=E47Y2=$vxf48RE z2TudqNEtfTtq33b8!BxY8IKT9Dnn#m;ANpk%pD#qeGkuUB zS(*O-G4s6x_7hopD|~d0csgH3zQ%m%{o&+4;5@i=Z#3Qds0Z%gGEW-ms}zZ_+zF?9 zi};K5qDi(8#Ce(SWAe%t=*{fDV=Xs}=)H>gcPjCWZn(e6t3M%5@v;Q%lXcQ?Z!s_E zcbR!ae~;?8C*$|H@{Ol?x$qi#R^wN!J6S&KcWBOd%!~72KjwuEnhm{fMSnM}zZIi!TxISIfRZ-HHc( zbU*Q24({yCLwQ@{7jE+)-bE9i;sMUz|0}^iPoy|M_9NbFDDHt~+BC}llkqgaaV27{ zo`)|7S79B&^_btmGn@YZ-~Yi3$hYsXFYBwx_icTco|R|f@5L3}hve;F(ky2YJAzX( zKlHurv~TM6_fSs*cY_msp_#eRh#0@d0oE$!1vet_RIV6d7jt%b*^)r>x|Dw=5^}Pv5S8WHi|`82?`z_ z7*VA$uhKN6VHGc4B_u3jM8trh{lg-Hf*o%?;D_PC*?jn*0mFi`KYP@!U%!r*rxzc` z|9}7GV~mL!iPwFypZd+BKit#2pL#9LJ$Jr;1ir7>4Ln=c$Z}6{tm;+Qu1~x}ySP7$ z+C$o)oo)3%J3mA1>eex8uNH=O-lYoK*?wy0yRTn!zV=jGY9D^@it`s0sefB5oZ8zA zLAx1t2kp8uwF{mL?dnA$+C`cBXjefW-v6=7P3JGq_NMV&sFdOS`7-L?KJvJV_CveT zE^ci)>DqPh2Y>Gdh+pn{_ovg@0=+HXpF!;=aTEI2XGdRxkLQ)YT{~Oxp}o(QJC3uh zEs7`{y3wIcxG_w6E9%ZYK=M zbleUYk9IM9DB_dFhhl!%xoA99W{GD`Cw7iH>fV>Px?)`Hx8Mto>qkd14pFwi6W1=b zT*7-cv%x>E-TZmrxqGrlZBMv%)w2oove8PsuPS9(*KSirJ#+1P;Ez-v<-3tj;s(5L zyv^@;|H~Wb-|U-+ys{XJJg^trp5pzVH`4q4k})p%oa22l<>PeMZm#yf<>Q{EJ0S1+ zpR!lnXYN^<;-60Mvqf3Ap?k9Zse7`jK}*uIA8JwQneMaAH5qZ6e-Bgp;+xB%`?|+` z_cW^m@V?lp-n!3v+WpyS*-w#oX*Ks*1kT3$%xt0dNo!La=VuFj<(}$AJ-jd5|D01~ zf0iYV(l|Y;z4Xrh%zZvZ++z0`v>V^9s6#pZ+7;KX76;>fJ)%o4;XYTKhyGN#*oUs& z_Q;9%?LI%W>qQ4KANFaJzg)X6HyC-6k6)slAMCfv#br;od4~S~ZjJgEohyDMvN=CK z>~NZEzc?4|vJTayto)wxJTPn?+GqAhy^7iC7oDGMabX2`Kp$`uG6eG~rca;iIP)wH zE;najeD-u?vg0PGH~CDe3LjlR&nocloxu5-YMIIZkhT zETnZjdL+2&)nb@y7dy&AuL|ePg1+FOX-;o$mH=n5bk}YL*d}6S+h{b^_^|do0`esy3v+_j;lXrgNyr_#HSZ+ z4Ii%_;OvGUe>q7k8RMa8!KL&0-NdafeuA$ycY$5pQSNn;Vo?=92X^H!Fl+4)SHOvIS_FU`x-uSMkcM_cPFtcJ7u2bGlokSi)(I3He*YogE2@#2iXPySPIpV?e#p)6jo&km9+pf%bvNpJ2T9>rkZ0xHo#MPdm&O}&5#u#ke&F(RPvlcQ4(G{B|{vG)gHMfm%?efnDr2l^3S@&5j%@^zR z{6=nY7FZeiWS8oXaP4~ZZ^)Y*dkFpV&H3j#Zr3+JeoT>mRL|$9P@N3Q2`;)Mg7afB zSVwH$A2cqnqu~0$7Z?}&hwiETbz{o&&@r^`imis8CznM&MZt!HU7V`@K5$$A!~B-1 zJ=SsdDwXmR^OpLZa})Vj-#;avLRYD7Pc2yN^l}TWYhL&i^sHgn1o(K;`K1QY`Za-h zC!^n&zEls5H$t!0*T*@+XVj-WwCs&@K~1@i^<@R^CwB1>#Lsiq#6F`N-aFVg9)rSsGd_>13fXbU7Oa+!2vNo*?N6qAl8fdqa4;3JJ3G>K9g62 ztLt7^FLK;v%nR#I^=UtQf;`B+TSq#*9ev~1 zwjrqr&PRlO1Ap;vBXC}AIqoOC+hTBaD3Io>>9S_d$84tgl1nNPpHL3_8>`zH{mM^& zK|FTLp&+Mc+v6ynmOs#V?;RiFxR9@iN6f>x>`5=|Gdll2RL}3%BYt`7M|^+by+5aT zW)+8?bx0cR;x`*wq29!g<){w#eyI^>o@EqIzBt5bw&tMo?pP@NZ9pN4bN!x;&PUwY z2tDHkD4$_T*stu01d6lhpNL22%8YUT?B!6Jmy8gK=lHHM&WCv(hF-m*d%me!bD`7g zf*aAV=A*EF#eWYrIlbyR4thPjIeg^4t3NnysyzfZ%M9YTW92gE!|o@cU#&*c{`TYA zdGNWE0L~v4w(heo8?xLzMfytgE00`2{NkPWD#!U-Z|GICEvSDz{>@_eTwhE1pK})H zjws%3iQ_C_E#hHEro&%)PnC|#8s8xQvTY;eU#1sGO3UVUQ8 z{o$X7@+Ky9Ctl-SsNpqELNgP=b)0Qs?vAJ96jQJv0(blS&MP$brc>C^+~xb1t6;@^`8dVcrN zJQt6sQ3gIN>2v6%&j$Fg@#VqIt+h0+_?$SGP5!4e-cO3s{FbOP!^NYL+QDC(=?X5= zt#Vv9ElhDX-AwbCG9}dYYdbWAk7>{j>rOr$wZ`eq#Ub!93rbRcrgZ+!alYaT#UH*9 zbuMz{oC}{{Cc|Gvt)X}V2Yv6jiP{W3FPaW+1L{t2KI-d3$g`Q<0^=1;uC8?4HYf@o z@%w$;H~7GOli-tFkn%94IMxOCUV(d^yqkym-P{9Q-aL*xtHX3Zv`5#1tDbb9(JdYz z9y_is#w+}~$2fnz|0uY8{T%(8v3jiIa^X(mv!78s`Eo$d7Oep{Q*RQ#zX#lO36U_zKs>cy)!W;qJ3pP2USx<_qN6{QPLL(~ARiZ`X6rW8Q7_uBPBK z;>kbt5!J)45j~uboO23X7QTdjb!R!+>Gi@u>bHQQc%task=-vrZ&sZo|391K{vhYk zIm@t`plj>^LD~y*l zZ;o-XNV@;> zlQD>2tiB38&wU!>;*Co#aeBV{Ah_!L5$$_B@8EX;TlfX}2lj_vmk7~LFT%!?PsSjs z&l{omUS>ObfU~q(;6|RtyqMX4V!WzY9n!Zyjy&6yi@^2np5VMgaoodMa45J~y_|fG z-1T?;+PW>l<;b;Ik7C`rSf6apUd%#%^nlSAuPhtA(s6ZiH2HguL!Ij-9^sCQw!6sx z>2h$}xJM`WY{-H5rSD{L{?+yNY0l?;OUlE+4&bch(+=Q6B1wNKFZt&R@O7LeEhhc> z6SO~PPHpJ82#rFV#!#HPVx!GIj(=yM=TmD^J+Byp^F@uk2d!MJRt21(Ax9?Vbc z>-w)WkEx-U7go;`T-MAFAE9@@qI@%s!RS= zN`l*uLYF%q8BhC$+Fuu(|I!KZh(2>E&XFB3UODvnK#c3wc5vxCjPlT;O>5^P5`P7^ zRq4Fedk*7!kbOnJAIh;`L(euP;U1!5cfS5cmn?BlOE73 zzlBlopHvHa(f;{4_u0OvFdRO8Uqi2CKJxKzK33C6o_$LrcR`IN_+*q z4Dg9}+-#x$HxysdeDNbWvH$ROjmRhL4)!_YR#a2<7VN0EAn?j-i+t( z;G$u`2KX;{4ZW>N_d_vparV`~2`{mn%ZAYlv~qU#y}$^G0Fd;)2&C$8F^Y zl+TGHNnhdTD925iP9J>!1DC0fu%F9QR6nZN9@LLr*J%afA3hB}`u8uu&G^nM9cM>Q zkUBQpi7;_BS)9FY==U>%m|2oB)3w zS{M7gPAW_B-yRDtg7Wu6zv0`!mDee(cXgx91oV6K5&TWJRP?K7MB*N6p1dNSyA#IC z-!(*?Sg#y3uH(nx!z-O0o96N~votshyZ5{EHAU}Z-(b7aDV~Ifl+VP`iLRad<|Td0 zHsB^c3FnUSy+b^t0nJP1ym^STLN4TuCu~Q*y3D`YanWWy#o3}Z<$3+SgtTm~pZr02 zo7s%=Gc^X|vPIv5%LerS8p3A+){7}`z-|7A$b%{V8tY4*^FTbN{zURW&<*>%D)BkE z%31-gs`>@EeuXIxE(+87wR?kmxj6akofKyd`hOV~9FyeqY~$Y)XUtIeh?j}D57^^r z;B4+_iho7kSf@A57n6ScREj7471p)dwx9S~PwZnN?XO7qpV#syJg{Ti zz||Zd;*IxDgTDSo^6~kX;)y#x8U6NL4Q}5Y05`dp$2)GP(>mod7J$nxb%#U0?-}{u z{P6!ozwSXiHYyk8C(jA;uk=|od@gL`*H5!XIxb7nxnTNs$9j=1CPz4~%l1V* zXs>vzcb?f`yN}CH8wMXOr^820zUb%lY%A@Prs7=cw{q!zj+@9uh*Ns?!uhTva-e>) ze=w!-zAObULYI$sda-{w@fKf$+XnfdmosQxm@%2y-{i{~bzD5`zg~!kt@A*f#{aiL zj;r>RAA2bP^~P^*!G2;>=-e^aWd?MeJQDHD8x0?GZ0K3{SqE&w`sE#h$Ule91o!CQ z#y!P7PjJ3?Am&$ltf`ge`n@`f#`}3LTGvg7(0U&{hsIU8EBwv<9x+aDC)3~ausKJt zuEmC^Ajf&j59jQuYBzH<@zLPizjeIhqIGL<6Gz+(Js1W3gg5BdET{XhIou2P5Vhh6 zI4@fiKK4jZSErXv`;k8HXpEP~e1vmcyzxbxqGw;!gG~8rnbX@^6sPqnhdkKQS(tbB zcNBbNt^%kxt-_b5Isd(cT<0UwKJ+{OJmP1Q!V;l>(+B;^Mii&W=zxCZ ztW6aEo|oiPdta>c(XG~k^P*E|{Z`zO?0jUex9C^wqTd_UkipBHUhQ}VZohtodS=gm zT?2k$FpW2Q7<_bAk&TXrh&!tUCSfCmvo=j*F?4q38eYMf^N!VgvNMyE(-lz5??ldvrsc^W*;@ z9?@|x;ulQ^z(>6q3m^HU5jYDwoCN=_yTDEB^EfX|`=;l4IjCp|!(MTL$_oL=vv^~;8iqdY7uHx}^> zr+!6DYvQ+jMmsK>SEKkR()VlrZDquxTl-V|hniBJeJ^1@)GbGW>kECs&6fWrJ0IiS znDWNkBOaYvV+;CyOMh>ueCa-~j}4}MtXEF>h`VoT-fPy0P0RKXKT!Si&$iLNU3o@= zCgJR*&8h(ZR%PGF7A5r4N{`3F-KP#X> zH>VeQKkQ?Ve}|q|iwSq}sA3D@W6UaA7ti!S$8AV&iho-;@~n1kujRNn@(bxpCxhFd z)7UpuO{x>l>F=Y|!{Vq1agFvLb#4{yw<9)VUTnjk;3IQSL_E6PM*7_&WF$CG^}%>; z*xox?YDoE|M9NS+nS?LCw#6y&0`)9 z%p)t3u-^I0zb8R&&iN3R5p+*T`H|)&@+i&MUlp(}%qPddMfHiun_0bYVVa9G>MG5b zFXdC+C^`rHSSsm@RH8gr;L9A>wds2hpI4RYuy%u9E*|#$CG@uRY1;SpOl|MDz3qcI z)!&=JMMQxCj>|f9&y*#$lm617Py$+JqCQ|3(CVK z()04S5U06J_c0r`1$x^cXN1%1xE0XLR#V95%O8d~F4lEJoMr(1eI3hLe>?P7=zEzC zrtjl+WH`Q$^O*VYF+HDST>Q>#T6c5Tfvflhm={%hALhjlpGk4vzYVT0j#-kH-LDFx z@AY=dCgL7}$&QOrv`*E;oU~qkN}}&y?=-g`~@^uF+yn`plh!^%+IdXL5ZL>E~K zJ#Sk8<27~t$GLH_a}$Y&dQ*O8u^{kbW5CUM`a4*&a8(H6{FCaLr9@(WMZ2sSPS39` z#k|;o9l@>d0-PhRi~sxgzb^wOV+;0W(VhN2OEk+p%l$pLY#oTYA^1hjYPntJB-{!@B)Pyu=GUMf(Bc;d4EM&V$c#6Tj1mS6HM!54A9UkK||1}TZlRinY;N$bq zIocM6@{}LvV|J^O{vBkT?S4`=HC%ay6lGF24 zy2r3VHIX0Xof3t953j)bXAkM`?)c?xIFEG5W!e`!==Vu|tvGy4Vn^EVQf8rFTQ_l1 G+W!EIq}!VS literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/15.npy b/MP_Data/pose1/12/15.npy new file mode 100644 index 0000000000000000000000000000000000000000..e86c2c170e92f1ab7337d1fee7c6005b614cd8a5 GIT binary patch literal 13424 zcmeI2=U>%FwDrecqQu@}%)~DCik;C|h-mEC5XOeYf*@G2jMx<$c2OL~USh9N&uBEU z$F5P)iCv7**c*D8wR!%5=k2|`IiK^L^;@%N&z^G5VeU^ITeazujtyneWqS9C>@~Pd zU0$YsNbNEec$ttvgQEub2n!xGxOX4NoAnqF*(a4phV}^Wlls1F)mpWxRVY`1kLLfs zf7uyhB027!Z|bY^{Bg~_n!z9McpTsL{)AdFAl{e0fV&zGddmt6J^`d@ef?PBYK zQ?A|ozvm0rqWGUxxe1^37jL_EHjVuCx{cKT+P!EOxi;Ry^9j^$O8ouUJ*S^EMV?v8 zNaNadL|Xpl7rgD-d1Mr|ukW|twc814<104lscUB~F8}LZMc1@Vkg{urfPexON$pgy&dL zY3_LGW?pU;YzI%=K?3<|nnmzE!LpI=f6<7TN+Iu}h z|E#gP;hvL$Iq|%W{`nQ!8*QfkE3L)2>~)Ukb;{C{u3g{g_0T;h&Xz~sb+;OSyZ1(3 zdEwgaJL+HTKJy5C)`?f{Rqm*=%(csN_ha3AVaB6h9drThHm;L~?lpUTw#$P4L3>U;SjH}!X+ z)w_nN@AY?IQ{0(vqutI3r1=PV|F>(mUxMiQhQS#`>U&f91oamm`mbv@KI!p1+bz+~ z2Hw2x`c>YwlUzF+B9SLPKWj#j`j%JPvc|RRpfa8ifp*cikH?eBZN0T< zS2qTtF3r=o$g}b9KG(IYv)#evy<_N4?>@c4abB|?m8@EF~SkATZ7w5`@t3Lv+`a0icgXTbAIv(Rt!v=!$ zkR=hWo#!k{{_E0RaqmrwfzzCx`xOA^nXA+K`Q$SLJ{O;(uEq09=bheOD>2e>yEq(r zyVHLm&(`OXFZ4??gR9an z!F9pS{*Idl7ceiZRSLLRH5}`P_nZW-i|hhdUB^WFrt0}uA>`k89r*|B@N--YNQT}t z7>;?gMH2_1-wVZ|=XE2%b+h2Uj>{9fq37-6!NrHReH^#>=aSF9i{x{&yAOO+XVT}W zL-l!f{up1^@2njZ&$zl+cYN>3uJE5c0ebO!3&hFG3>xnArr{jqjjO`&v0lHda9n5n z8hYLE0rc|2+i8y5wzc4I&Mrp%bN&JI#RpWvyx1@AuQhDaMIB0W6kM%cM)lck0qTuU$N?WVa3|Ga$F8x?$4q+wy{L8xT(_7w z!Eupu95`>Yg6i;7bO_>kQI+b4ol9H49;{RIpd@kaLws-&)-_*U6M3+m`Xc}GYR;mF zf9WjhHz)~t6YHywM!#b=fXgrE;iGr_J82&L*g*_zdD2YHRnoP@^$@P zA2-jv+KJmJ&N**sy+kZUp2d+4;Jo~7jF9QiccA9izGHihw zIq(tA6E*EJ^yb*NSf_earaAB_nGtz5?;C=fM}FYC=mPSuSp+_6{j#1;Z&Ef9ualno z&2=;k{LYUUujoAs@tf0q`XZhI>!D}A7omRJjznFFXXU|7t~Joxr>`bEz4}-b+%_r! zuK!KJzGtt}dSpc-FZeoLuBp=LS$Z$(_uik#r%3)7?b^kgXW%URo{R21zcpPsy{VlY z+$5Kwe4ZLN#I@V~XKCG~c+f9D5*i1exSGfhJ03vmrA7qm#4KRowrVW6tmI4U=*kru zZ^8ju7Z)yLT)NObaM`LBPZr0>MKKb7-LtUJz(|&Lp`7O<3;a$;=v)HZV zGy5gQbGd!E<1*wW@#{&nUc3h`fzNhY*XAvq7ra*G7{_fPI!{f)4)Xcu{3PiA^u@T$ z%S4L5r5ExqPE#KEgw{A0WbqnfoSuK6{Y01Ag*a8Z*4PK^riSFRq6@eP^q%STvN!pQ zOxeM0a&MeFGDeX8(na*EZsnQk^t#bw%7gg_oPE7~oa4sa0at6O4(;UUSa7O4VpM2l+ExxYbeu0Qn z46T8A&-{;A6jfjX1^Nb;H589wXj>&Sk~tV;)W3!tjwp>HezfOqt{K{LLZg z)uUnLKdJ}jMf-dWJ!{+pTpd{qy;;oE=okHHy~uB9eSJO|;C#fDwcu=SWvmx{v?u08 z)S!KgjZ8+K)gOI_px;$XXk6#Lp_hxspdLiYNa7LG(65{#!zW+3Hl zW+M7k{gZJH+SliLxj4ncZz#^AzhnPbZ@N!J{Ojr5QRzlN&zi(b@ak>J=X_ppRX#87 zd!{;_*P=jw`0$>;VZE>qrzoB;(~vjy-|QuBT(Z_p>>J{QAM(uF7McV9GcDoIMpOe= zqj;3#>e5nho15xrF#lneasTZ~1}Zzp;__pOhx?j;lu-DgR;TaPEk}9ZMaT4c1W}-cEeVi5V$xr#>QY=H69`=T2_Qf5SP5U%tGAc=WB= z$O8}C+s^f?S7v|@J2;p4l;Qat7rQottM>x&vn&b2T)$?*SCof|{~#VYWfkgNZOM%| zRjGT3U+2n$I@j9*;3KalfU9dcX2bt}3gu^WD7bv=S>U)Cp8-Dl-*D^${OY}lu3uSl zBIRL168U)L8tn9ZWhL_eLs6Zq+guO+KXwAwzXsE|mR}8Y+fnO4)~bRanQ5H$3q-f zKT675=0}(pkys4p0;`+0kHv>$U6>!TO>_OSm`fO!?URA#Frq;IwXIb7U$9WXhiO9PJT<&ew z&-Kf*H-wL#(H!ee^_;ib>2-!M#A#-Jjq!>iS$aDzQY^UKI~#Q_Zr(+lcEe=EY1^!Z zzqs}*_Cu4C&ZE@NUEtQId<^`X9Y>y3LPLy~eV;24{`=DE`JY>Kj`zth$&=cz@=yD` z(Nq39p}-j!1cdL(DQ)>;lpP324{Yw!Bx#SBcQJtiagsx z6)|4hqs|cDR3F(c?Y{cy8P(P61Cyb@PWN^ZbsqCBe>qnTJdw^FG5RsMdfBP7^HHl$ zqhDb!pkMazui;KFSzq)kf89@U=JTKF^uqTh^d{&y)z!@0xIfq(X+DvEQhtu*!g-;7 zY=nIBlvT99tw>qw{Kb<@l;?xh!F8*w*eC7ITHq=w1Gw$`0$e|!`-%?`XYz zOZ$xI-2rvNIz}PSqW)O&pL7rLh>OpnUB6~XX>jrRGsXG7*GR|p-NqP~)laET+J5nK zH{fa@chS~|UmEQC1u?O+<$%e~N>jceeeB0nMz`cN|JR(N}X>$zbR&()nH zUHs-yFvZz{#;fWcp#3vjZg7*g9>#0#-)rsk`ap5SuL9Cx-tFRE^T5Z_ekfvspjWvo zk8+$3r~8S1Fq!IP#J&~K_bUc}kv#{vEL0)Fo0-+iUo@P~fT`{jR{bC51X}YIqZGT@`i9 z_P@cr2;W;6uSlp4E}mW;0Urd#ToiyK3z&gV}a>^NJs51jwGka)Gs9UM2obnc5q zV~7{q{)5Ny_f0V_nZ5})3(V8harS5!SuGU#^poQ7{U^88pcmKjfa@7QEq6XTl=clX zwFs@}MWSU*PmSwD1GhZllUya<97HFYEAH>kZ{$e_zC-Mt>acIO|^y{Y02K3#*0XZ>k^)4O9m&d292>1#bCeRNxV zAHt_(C4c@c^vn}I+Ud1DLHc=p!R?(YlN@JJ$;7V@1n0Z240qi0^CzDTZ^89nd;0mN za>df_QTunIe)!6!E1aHBnF1djR+#q5+8Ll`EgC*NUjVq- zS5-TI;oBa1<6VW~IqijgRV`l(&V!qRizXE#U7Y&6yQFVk`l5Spi%q9<=W5!ypXUnn z=4v^7&eeA)&#a9v=3UK7j-u!K!^d{(j(n=*SwkH+i+@D@sIJ>Ek1|?pbDWnuh4^I^ zI;Yf?Js7VnwwlKEG7I(}85)HAs2kPbFPDylzg)9F-1&%*A{2kuD4Iu~t$~iK<6FV` z^2=E7BDnuJ#1s54{LPci$TJI`ihHaLqmBs>3VkasN@BOCuipj`GY`M})Y3O~(S@=KVs-^VI`^u3xn?FSxwa51jpSHo)n* z*-7zuFN43XHhQ7cn_)@drb`IL*#mF|Bm*tJKbo$F6<(okyCNMVuQX=$_W&8OCe;*ONZOJ@|9^dNShN zu>xF$Yy}rTpP2|=CvBbPnoj&lT%_YF%S-5aSUm9o`4Nxp#E>7g$$*>ifzeLS5_5pF zUe8H?-VgUE6Hn)Y9nkuwZ>mg`yEqvBTf3tk^xUaf?<^tfPS-9=d`7>b2IWV#FWtfE zP2FtN?-#mHiUpH{9oG#Pk>1k*>x+;0g7w8?Zi6$GpVnQ$En}VD#w3872bICqUpY{3 zTzmmnEzV(ovm0}ib@8Zo9nr7tUkY)m%}x3`u2)cg?CVab2YdM#_7hPqj`S;oEx=s=!n!aEW`T>ZTESn$r7{*m@`zR4RtGM}E~`sMZ4pkMQ3I5_WkW&-%2 zAHem2VZBTo`|Ie^30^>CYzrs0g zviTxTbFn+>fw%9K;PkrveVVT~9C;8E`_4l=wTHo9R?JHEwqGvyr0VU3)5Hswq`LAX z4sl#0{zQ2QJ_H}t|KfJ%V=pd-p3VLp@u(~98aTc5dJWFcNaRy4iwt$#4AY2*4_FKz z{UssJ`RF6mFRyly;y(~E&*}AxK=jLeawAT@rPvOqH@=(Tuj;;p4@;bZy49`I&b1RU z6o0*~@y>^Pe?q_NQ!Cn+s((U$M8WsOv!+lzpN(DZ{Mn088n0g@d|3V8H-gu$Lh<}g z`>HTMta4n9Elc{&^gE-j)?2{*zr95DBd4y!e5rwjQ0K-xM?9wcuN41*!(-vIe-w?&t3GiNw9s+> zVmG*oym1@45t-m)H-ChW{WB-Uqq~lF?dI?Wa8W!x)lc4YV;tA{_kpYFpJ;wd#nSu^ z&q8?^O22oDDyQP%lZSlt))7>n*>^=duEtWoQZ)gWr7!*4C%aJ@TukqYc`>m8 z6n~`#;JRjD4EzU0g4?b^;JkU%WW-s!9^x?_{ITzup6Rzb&eDgG&$~0wvvZGeUu6~3 z&Z(gHn0H&h(Kt`4TwJI67j3s9|7Ork?Ema#BIT{l-_V=jVK_(h6$5|SwJh?iU)7-e z@0&#ZPPz;(@0FY7;<5K%!NZH<$Uwz4l`nPuiHzEGmJI7Px8h4qR`ZGQn{%>mkMC-;Cn_aU%4l5q-W>HBN#{ z)jS;f7nu2p@CC2mwXEm|~I?h&?B>fTke-+XBT4!+60o?l2=Pc21 zknl~FtNa--UY0Q@=1Y#MhjT$^A4Bn<`3-f>{4XI+_I5nDJhqbRD(EK8aruVsMW*it zaN9N02 zbvA(Nr}pYRj;ppIq~AsV7i0o=Vjt#*>Aq*?wx<2?zuq&PUOYbsJuiEh>h0BEgB{l; z$5P(16-WO0{c)%t@tXD@6L|&oAoqOJ0sTH{OZm)sj`VGohx?}bn49!@-+HZpUStUf zahzSE{|hx`!jNbFx>G6e2gl$e?geUM(B0d`B-1N-b?Iz+B=$j zBF}@%s)Z)OXOR!-*A*H{?f^*a)t+?2iEdxE!1> zqVL~$>F+Qve0vAP$qh%GY)_V*PR~csKE_Ma=W+Rr{vXmDr2DX~_?+gkV=UI4*hrs4 z<=r^Ui>b36^J0%rN53}qJ~%5KzSNWIFW0Oh-gX1H^bd-6Top^Z-*Wn1+WIfY=P%Kf zevhzK-je^p*6^2o()O#ug=igpABFpgIulRheUce@;OmMZZ(>FaxSm^^@>cb1FE?Jh zXE?Y#)fwCz`w!pG$ZS;4rWpO7q}d{HUg%=+G+!0lVBVSEYdS|#z5eg-e_saln+w>N z`9%6%&J4~q%l$vN%+(Hc$*xwr>*|d8)eUoX&dMZ%>z2#@c3drO6XCcV)D-(B+a8Vk ziTN*bq~p423+%sg&1vlCIy_;V<0@(ut)DElq1OkWjdFhaa1i`?-l8}c?71u5onEXH z@R!#uUTxJg`2IvREe(IsFNK~v5HZK;ZR37)js_QjzijQ>2mX`NzJE;ne$R%D33YmQ ztUuxrtAB%!I+}^%>{SNu<%F4Nx7BJ*fxclQ+DCT!!(YU1LmtG#GT`C>{Z6Wu?wtUA z>)qg{dM?DTJ1@icgzC|7igPXf->eQki~Fb8@(r#3?q}d{`uX7dA3n~|x;;=A`Q%}F hFVRTW#>fM{UPX2=T*Z1|y^Lf5=-PfEsbEe!+Ea}p#b61~SYyt~)9z0~MU$ApC z?(F8@)VVfy_8%QQF4#A4(CFa7Lkw^0J8JBZY(93F@0cOk-)sERxN(EpF12|$|KI*A z$QVvn&<16X; zngZ>-ZBBfyU+pw7ldqfSbZ|vH&t3b!HtqJ6trYk9wHTL5*I-+rk#i7JU{T*Bg5^{7hjuC8F~fzV{g_*n(r#cLcjKl>u49(H`>ro{S;$9 zMVIb)o^Rgz1-!%bg%0BvdasuGu2w9dxZhtwyE>b-$#7kHN>#L0aWFX;;hp(DT)YIf?A=ddmswFR5>qY3HSK)ALTl z(asK6Kt7f3kb&pZy^$yT=?~wT=f%{Jb%?9N&^M;t`o0zFU-xQ`cJ*SwA&24d$I)*8 z8Hl>no8MEO4-Z&k+U+X?!Ns({ufgx|$yIo+P=9bMc6d%4RWjJ##M*Y5d zK>C6w=Yi*K0)Mq?Ijy51t-_5zYgiBSqBB2W-LXSnOANPD-DtjCVyNE2E-o^hCuYG% zU#0p~ZN{JuRhz%T?NKYJ-Y#vO1E1PO$fx`saP@9Pq~ZFzhtRXD7r-S;m|-{znF=mm ztU|qsPvwU~|D^%>>^zP5^)d(6sd!(Fc;6;bK7~{B^X0^i%8hhX0}ph{sL| z!hWI}+_RytaTt2L|5mE=bIH>Um$}9ePkuqXS;j=@d#7W5dH$*wJhFAH-LM$*sjlp# zct*XY{iI<$@@#qbqH(b(j8|VDSl{?q`FjxmyE3io1#Sc2FP_6+rx&Jmed8j|6Bcs` zdVY}hcY9=!#n4yHgK_D%&1wDC?nu0SEcEhtS@OTrz|ZJejjh!0CE91CpXX@9ujUvPs@WVrz+qwvmo{*zL?gd z^=I%o57S@2*V5?4oFX(|`%fdE(tUNPX=mr2gIgo^p2zn~NtV%DFAIRPcxS4gjkU+4 zz2Cpc8*^9a*XqzE+Hk99W8}w*^``niFrMn9LoRUnIucy}?uB(EeJ&$@)+Ys=-Fbp> zsS5YOEzuZx5brzFx@)tV##^rh^2}nwhMPFWh6AL3Q2|^v`WR}sO5Op^I=&|V^08wK zw-H?epla9Mg9&2P&V z(6g84(XX|x4xMY;GchjF>>0SKt)?Q*#&^MG0VnwI4#lz0=q^{m)z9@Po;L4i8oj7- zhI|73!PTiWtW&$<9B});2iPaIO9|3<$T`36XCj|=@}%t^CO=&UAWqr+SDMEyZE@b& zE&nC|oo^`4>5oGY=V#hKWh%vKEx3Yt82Yyk_~?=$;QH?%%!}3F zd+N8dFSzBG2)*5*AI1N+Blabker$sAVMp^(JZ~?7>(8gg8g7q{Cx4HBs80Gh(S4vt zEvyUmuol*f=#@Q#*?K)=1h{>>EUmBBU%ZWvSh5~mkE@II!iG%2yjW>D`&fx5l>e^> z$D`j{%h9hj#|3(MEDZG^+l?i@cP{!>qwZn6GNnB@Yf=#Fo!t$fyrr$Ccve5bIjC0t z>Sy9)Rm+3(>&NNbd{uX*;WA(veDpt)NblZ9g16}gJ##JzE=L|3W4Qjf3wjkWlFkw5 zQ&=xn@pOvk?L4Z7b<37Jvh~XE2KEj0T?gcuZ~Po(eC+a_;VF}Z^Zi&y{7NAC#}-CB?BRti#z#Boyb#;Iqxdh>z<$N1EQSx8aFOEi_l|)7{9wx4 zpT8r1E4L%m_{h{F(Ce3U&(E%lIHMOUccEYIH6H6%ZThkm{g#V>UM4kz58GKO5PT5r zht`{9nwNX-E8vqt_kR^J7Wx`bNZQ2S(z4XqD6h!5_7!^ekalIEvof!aJk=(HC)_xqI$bH`n>tht6ZDuFueRM;u#sxvtf=P({9(S z2Y=CR8qIHIzovNZbxywzB#rl0<^G1t%pe-CPbYBRr`<@yts{>qZ`ZzHUbIgu+^a=Q zCyM_X&6o9MTnD4qm+5}O-fe@PFJzq@CLY%;IXcQ5_^rb3?6 zy)^SJ;!!(`V_vLc)gw(j>Mi9>)b0+>!~U`i*I`sAdeU}qdvei{reD#mIgQK76YI_{ zHGM7ghXQGSj}=3HWSRYb@V`#K_o>t<)VUgRA93=1a}cLqzZU+obMFA-&z{qHr0brf zewV+TYJ9}x6UZ}bCNN%W&etUL+nwTM&2Qlxm;I~EGCuaR!sI_FAJ&CqKtih2u&8XH~k-WIUt%->gadOv%;Q_xQk6aOInYe(gPOVWwXlvWNIj zbpPQUW5W$+r`CYm3vWWNUv`6!E--}jbt5SL8qFpfy_!7?d6usAFkaR0$T$z^1`czIg+BQG|YX6`sX$e^9gOoE1NuL4Me}u{bYey_S^E)oU>C^78vc zn+o9-bV)!#MD^eYBCQ#@V2QQbCiAkS=cEBLFWS(tb0eZjUSKX%%1aL$Hd-HE2b zp~gq|nGS9(ng}0}deqx+t8ymtCcGy>Z{2=4!Em|AgW_*giPrVpkLcHKa|C+3%o5_B zKXo;FHmMBa)W1lK%Ze(8e)+of@L`)iArHFjXVfiAE=uv79F2JN%9fKovTb;n1eYCY zyy}-5BMcYgf1r4(x?#Mmr|Ja#rz(iYdXXFR&eB8-_!S3@D{Bz+`r^J&_$0r^dbFp^ zg&~uJ{gmxz7jOcI#;yy*O%ti=y;9gWOsQ?`8Icn&8&?`lx@FRsrWD|NSP7 zw`4RdhfH5mHO$>8#F9JuWFs5|thbI$z~`g?|bAhL}k z+eb&WrEwK$L+j;rdRxO;LI}7Xn45TNYgfbh)C6$W{%^#oUcaetxat{!IK|))#HlWM zZTHCLa&69ht*VK7R{I8E-H8KF$X{|ASMd_djE{~fM0J~oejnD?`(R#J0T*y_JTI+_ z0ttT@y|t|%xH@(d^C(~2M%D*s zyW9{DdlyaldDR-@wdU~QW?W(|?a$)wFmM@rwWaal)ze6SpU!Ljc?8~rL{>EBg~!#Q z`MsY&_mJ1)!L2oP-s!K7VaA_j1t3lx@F&fq`<-~>Z+$=QKKl3BN%hvP682T`WH#le z^JnBir+CF0y*;ta1L%`$UNE2f=VKepCwuXh{5>gt`-AHw!|gUT$$yO>#aU}XxZx_f zFSsh$6w~U#bv%bZB&-X}1>)qJA@Tf%B5%5Rd+CDmW`wo$}yxXNJ-9=v3mfJ5ZeerY$jC zZFVJI=rQ&;9`_saY{e}G=e6dO|E_^_zxC>jys-i2z^&R9*3bg*R~;*mzH6^=_@||j&xN7j+_Ty&!^N;C;ObQXxHz>Z#BlB2iF{_h1Gmc* zKplz?R6opfH|j?&XtfGHVRI>-l4Zaxt4$L6bxMbit`miM6m4eC^~mlYb`|E(d#}e)yZ6bS_u-+zI_I zS{D|hbBe`n!Fa`?waAau`LO?Jzuw4?*xQiC6*w9GR>BMXUSW4H2hM&QN4$#f0Qd** z1XsVF!+KXvho%~Coymf~rMFW4S4_Y?mby$7fMK4^@jXTsFx^@vLnHZr8ci#bNk|hv2OEZ`AM2)=QvY zmm7IgZTFyG_VZEOa6V!^;$h#_!g$sB?NP?ZetC)FWKF!E8$YbO|<$sIyCET1Tp7WGv-Q={t=~uazrua`SgAd=_v%l$AZYW9mQzO9T>IiS6 z7ZdhSoT-WAKWqFlqgTUkg3BTPq~DV`&TzZ!A#nR>5b-H&s^M&19JuxORO+|iW2|en z@F4jFRl+`IonA=mdfi@dF=Ym%@-$mW%zGu5^B7O8-__J}0@-{CC zoO$d3R}ZhwM4T?PPI;dB;C8dfv552eE9iCG1aL981masdiXLI>s>pS*zIBR^W(RiI4M8uV_FZRSJeuV z|HIkvXE&=3f=?#plco2h^F9AZtS|QI7R5jRM{pGoH^t~>^_9f$*CT!*KkAJ=$mzG^ z8SHQBSynw0kDbz+#@oIc;^b{Ihk}=Q4IlfSH|=j_cVj=%bEBab`3IacI?+j^{`t2M z@);d~^D5>ldf&kohN~ZI5Fg@8_v+7T*yX-em;Y~+ITRJHS)XZqF7xiByGzuUk? zmWVT4R^ARD%ey|f?hqboxY~IDaq`0M*gtiVgSaPHg;$flrVH|Ey?B9okdCtyPfb_k zP3O;pb!5A^qF?K4LFjd%7T6#3jC=4`zBR$+oWnTB#gld5Y)=TdJ;P}x;;hvgTpXB4 z{U#0$G2FiLf#PZ39-K{k8DO~fJPNMA6(QdJLs#fe(ccC1xFC#|KX{M*T=w&zy4_E| z_u6^qt}uElX&^yhkmX2VKGK;&FxS5KmG&O1@oz~%ji||7K-!tSMZU}n{e*vQtQBF$TV8N``6>W zOzr)QewkMn)UEYf(UrzW2hjaW&-(&y$H%TUT;3Rle))v4!vocqs& zu4@eE%WHt!;cKb>tJ42pVVUjGuZ|OVFXk;Dg&Dp5a17#9QPnXneQ8mw!|?N;iO-%- zdAL){&v4bQD)oEo5ys2+1+Rh+>p|nX`jql8s@P1!t%Y>HaHj%PCv|pNhRZosq34%( zV!zVs{oIT{69WEfMiR}}EEm+d*z_Ob5o-@3ei6EC3i=%#4j<9N4V(@1TV^<$x)0pS zynYM1ErsACN7K02q@svNxvvg4?aKE&{N?7{;Cga#@=r(xx1N5c@kZs$@1cB%lU;d^ zJnKtu6O51Ed=7fvHw1dS_m@z_<3j!F)-8$O{DgIO7K49MM zC-tT}O#CCM{zc&(l>da;*#A}X8p?nCZPF(P(LF8fFnq-B8pyL+B#?hAbT+t^agliM z28&EQ;y$fM*?1P_i-$dEW%?D*tJA!P=0W}Qlo4BuUKQGpei=VPdDz4(!+FF!;)%Z4 zm$b{dg~o?pXpVmEglXj8?OvqO%aQ)@mlv;LTr#a9){(wQ_gj$^Pv>&0a+dK?^)8UV zq`zz1e)Fdpu3hNd6uap?LOK@CFkJdSg5I9j2JwrMkqV55F`#5I4z^@2Xo z%N~Kqv+kH#3wm`7T=k8o{9l-kb3p|^#<*At{r@OALZKe`V%mS$h?N+Z3fX{pVI8-^ zM*La*GXp_Wxs}`l((ATvwv~!IsI0N2WQ`zWp$R z{DZqe&r=$rPUI(V%p=cT3-f3{^WJF2W!0KV`dx0seg2?(f<^ag9_^s{+W!-+iz}%# z?^mYKe$r(}oWuAGzfE~4Ncpr~zF%xOPuu}68gg2v6-%!$obAqe5Atw9{jmFPeM~&^ zEd8D%pP#|L$Dg`-8mCm61i=sw2%HiKKsUj;!w%SPVR;hf*!s)b=* zWXqn2Q#n;eoK|IekC1Qaz058`@8jZNAia;zilO{Je@^2XH680t&!qgTG0~V8=CK*` zA`&C1U-$dq*1nO64ikSMz1Qof8^P5L?*zle3RMr~UjEmS z{A*8vztp8^eMJV*{iIVOI4_nDc@TX&A#YZ(=@fr#Q*b@2%3zZp)ov2`Z0|$*cQO8^ zUzsrj`4_)W!2GKCsdQeXCJ>M90xp|2Szvtr|KI=345+*pu`lb115ronYeba!{{y0P z530)*&F`Yl`n(!$>PqamNBe$S(rwgDZ23ULRcIINo7U)=xSv>cXHJ6tnh*A0Yx)c9 z=WOPUso8IhQGbM9`+N}A{Fb_`iuVV%s0-V`|5gU+84&Jqj5F8 T1#U0<7n~oRL;ZGcv&iv3b(8P3 literal 0 HcmV?d00001 diff --git a/MP_Data/pose1/12/17.npy b/MP_Data/pose1/12/17.npy new file mode 100644 index 0000000000000000000000000000000000000000..93c751bbeee9913b7b6a89f16b1146ca724f891d GIT binary patch literal 13424 zcmeI2=U-Mww6;e@?7g>SYb+6ojo70MYOH8PqavsbcEyT{6wyIJ6blMO4Ysji?>*5l zvG)k}KK9;wKg_*&|AF`GIegi_=bC%pYt5Rr_w$h0zH_?{-LkL{7Ez^7-;uq8t2A_~ z{L-&}6?dmfzhS|nf&+&J3=8hl*YXyDgGctw;3EeF4)2@s`Nvvy>(+L!>h453|G$5^ z8Do6wjN6{}TJY%wdzJT6Z>DBk#nx}n>}O|7kvsOP>I^w&uPh<)hHY1ezM@_E4@bL< zorrdQWft0XX1lq00PRl6wP@#0XHxrix}Wzlx2&&@jiUS4dZ1mD&5S=b2<^P)GK#;s z7TTSb)UF?Vx@qrs${#2H!9Sy2^`v%{*#0j3e~Cr^L`9Qk^LOTF#_#YW-5+)j?W)|n zqqbcJ(EVm@?K}2<0>!cYx~?&(2yd z@28_(+~1G*y3{a?533c2tK3}d4elS*;vnu17=?a`Vx2EquC`7`d=*;$m2GD(*Kwb? z)a1EsH_i6EwO8J-%L&_V4h^AkYtRSx^ESyhY`YUS`wiM3uBZ4N{czjfu5mV#tS-r}Vg8R8nLwr`G z2l96oY{2~{aoc^X(+$mQdu8sa3sN&KV#Pnx>}OLr9C1bYyJ#0N^Ofb!sar|*$_qBc z{p#}OFZQ#zb8<#%##J@-bjRo92;46{E~A}&aa)J`YQ$8uSNZk}@-zWgvhs}2qS9N8 zw`w>2eG~in@-y78R^CH9JJ#|N?mzJHhHaOls!;sx1G4dq&#J@*%D1WKQ`_!@-@|98 z!$7o)T^Fbx^WR>v?P_dQia)Ke3+~@nE5-Wj5#o()XIBbf{_~-Ysr~s~%s(E#812G; zFy@6bnO#MHE>uiR&A3gb`-2;E82LK;FD$m)JnKgD$ZZJnFs{J~;NuH}%bF)>opqlx z&vLe+3;8dp0w2~P-%{vHwIx36cbcCO`{2)9s)37oUC(>kJpQ~m%jzYchkodUq2Mg2 z<_Ozvrk8=<DrSm7j;L2%d5Gs zdD_qZ&EnuQJCt}we{k6`eVXMuCLCPd*a)sRM?){Sgn{c9UYKXjn!{mM?`-Q1&U==^ zxHx6XD$9-MkKpXxci^)6=sA|l3V&cd$;kGokMn7;^0fM{jZhz1`4Z~vbpFyDK9^m= zRkhbNE~nLRmWzONjEflj6z0I%d9Z)6 z<)TwT=(+!0=-Iw(Q!Uq%>%d<;n1}hV{}yAdzmw>WaS`rWFi%YHT#1&8ZVkaz)O>KK z=l7Uz>cS)Vm|?#W&sSh3eCF>3XK~BOr_IJ#%h`_Hn}T<463zsPb8b>ofaL?Z6gl@#~wY51^Vb(6ryE(F)J#}gl4Gr@AxcpCggT@5a) zH11%zTwWUaNS{&IPmJ4VWw}mEgb0a-G(S`upch>Tl36tRuB=1@z){S@?^>frzVSxDo%l0(x`c1NJdBwhZx? z70IVuW$ah1cIJ9~F*4ouhxfnR5BWUENA+KNit4$vcR1RQJOx*QJ5SrsPM$|mR&T23 z2G=uxr1`Tkew1xjcm6}&bWV-9d{FfS%h?eR)Q80dU_R>=l`v1_im%91l}Z8^yT@Vw zHyh4?^DFyk{;zv9$;K4}Z-P5r>r)*Ll*YQ#a}~J0Qxf$Q&$9NhdUk0CxX4uzoE71i zKhk?WxHM!st9@yZP=*0@=qxQuKtO@x#Of#T<69m#N{vPT+@Z`p(Qxp0-O&W0xk=TgkE2Z0TCp6(-& z&#l?yf9WXt#UAX#`VuFrVO{Xq?pQBuTggbzj5PK4gTPt8vRGf*M+aCR-6I8Dm#&5N z;-vOKJ$c9m`19{ypw3Rt6~WL?`IGXj?N0i4hcN%0V!@$G~FT4YH%1onviDRfUyZ)B;w_ZzWfAIJ%-ZR5T{X})sfm8>*U`M#+vQtyc zH~wqpz8z9RS$|n^0sMKtambU0Y(srm>ru2`p65h9&XerxtdH2cmip!A0ec;7=+*WHREO^x4YpkNrTvh7x0~wxo!>(1Bi_@vNcWN0-*nRXB&*jo<{}@qqoBe4 zMSPXLitu$5w>~{raM!I%(LSXGjqkVBnE%YR?tJKbt%u&M`w!=inzI_*+{`>58^pt3 ztSdgi>bXw~)Snfl^FlscDFr8)rFxe3AU43sIe0uSm2$I{R7V zBfS%-o*UM6u-u%>1|Ru03EV95D-8eIYrw_mmdIbk6dY|i+eGKAp7t2~j|i@xV11lz zg(%Pa^d2cIR1CG8jqeH{eO6K3(#m38@JZijd{++yXFbo(v3mKOoTcm^Yi04hg$CL$Eqc)QM*kPa43_aWbg!(mfGdMf= zsEg$$g`N-fs0-k#d$vZFJIiPv6Z3K-PtmefSL-i5!f0N7i=nuUf>&71E^dLpSv3KA z7H9f`vjEgbbb5kuaniERvi@?#Cd$9mXsip>FAV3nh)D-$m9s-Hc~YX)tF|R+9M_bj zb<{NoK4P2$uE#D#KIZsm_~`8KkPnM4f^l>%h#58?(Uaa1toIfcDA1Buq zaIyPhFB?}kYf3&}n`7Mxk8&wi&xQ}BI=3r;{;FkJBR- z{%ZRw_^W1n`dZE!P#xHw6O?CYvuNwXyB0DR=xJ2=OcYk?T+ zqkg3K9XTmK)`gxwFBW{33-tPadvNu`Mym6!Z^)B(UQB$@73iHQwEw7_wP~M;TNhz{ z#QlGvmr1V?SFFAoX8Hene{^zYKL1p7hu(2t0==$soAUhqE;v8Y3*7Xc04`^q8G}5_ z4Md%J^&04}x!+`rXNJFwKMOsd^Bi^N>R0+c;n6Dck4wY2>n`8@YJK=qdR|hK9)OFW zBAu*{T5y!&9=?dUPVu!NRox5bC*fK^Dy~Oen!uwTj)7T6gh|b z$O~l#Ss&+?Cyh&73dUW{X}Q31v4H9?(tZYK%e!KqTjO8 z*#BkA{Fpy1E*g4u*q7#shhMnWt1;tfeDgm+KHRk>#)XAcB0eM=^n6GZ>dba~!Qbid z660%>Z^lCv8akobetdCLjoavnCP5tWC4|$4F^u4p%_Lv zP`r1jX|zAcy2o)os=r^%vwHFLZ_-cAg8GZNZTKF*9C}6mZr!05wYn>-S2-lO_Uljc z{IBAJ;WNA{>3{S9XLToqTFzTvMSsmdb->MkUJ>xQL*FYpYyH5bZ>3R|%VL9}=T8;s zd$jkpoDHM*Xw`5j)}vF}bAo3Ec8=2fh;|)`{+h7Ms1I)+NpbIm(7H%o5N!4Q;4W}+ zelD#Geg*4PjHGj43>pv4_a|XptGX@FFWI&^xZE(W74obT3eE$wkk4`9Wx4vA3~mPQ zr+p*kW@B*oXpEz}O?gW9WV|;y$M=wanLFyQTYKSr(TyK~>rdrr9LqGsIyGK7X+1_B z!nnxqdSG05nabd-Z!Y-oqYD?xb?b0uO0>BJyg7@2|bT3 z1}=j-FS0&j8@=b6A3VT?se^oEN&ugJ~AF6}&{h`=d9eU;O1X&;E5`ytk2MU6lio@|7C|?Irzkb+?`m6c%lC8fE zpLoaKr_OD_{Bc(6Y4)>IY7*7w-dEH?zwpC;sH&B{Yun|O%6N}sem}3YpGCuWRELiJ z5Ld`*V=Onz+~BWWdx6VW9U?5({r$nkx%Q;L+;W2DYSC=sZ5|>Y{-r4Pc|GwM`LAe4 zKCTl&tlpVX1A3EA-*=g5qlSUc{XqIQdEldZXTftCKO>;$>$4DV)GgfV`PvEKx?&}8 zXHmC_mb0hyyP?T#8^xo(vRE(cA4kF2(GCit=6sBY^{ z63_qdD$Du#kI<`i=fO?0sAT9PJ;7Pj2h3+(_{Wy1h?_$F@<_-2>}2hP`OhaV0(Ux$ z!v4ly{WQ($<-D8VV%!tx)tKivmvx7n6t`;y((|cft)4eOLi&9}iGN)gL;N8)yEzhE zzg{-Ra;LdB^>;IUU!h9Y8S0tAbx(TUcD#0A{y3$7Uu^aICe15Rp)5GN&~u69>cC0z zsWjuPy`P07$J#3oJB+v{ESmO>H3bJ+J$HFRdG;9uAI|g4v|PA80(U}-fs5W}u%Daj zY2-gRmG+0@-(!58mzlp)RQCmEt9_L9aZdeC`X%%|gF0Uz&~meS9=J~9$WzQ;gZajm z-64I^3a347e(l*}do`{S`LL5`p?4OBMOz<{ljgH2)P%2L0uKE+gJ1H})UXv=83j^(+tgvlipv@8tgp zaYflO6t_<(jqh_2X#Jfxo56Kg`d-uodEuOuBcH-wm)d~1rt2=uE7pxhQRaxri@^5HvbQ-6zxVg8tavy^9SW8&R& zpkMMm?I-L|dvNn=3ayvf|3GiXK1LmwE`{eGm9+}x^M>kdOdsq&W@~Y9HJ5%j5jpC1 zvH6?GqTuE{tvfZ~Rd?k7W((yxWFd|3)v( z2nqe6*~C-m_d)5_d6MN$%fGsOXCNQl zkx@Ns93-DC2g9tM@6Aj6%NuYxC>GB}X68@Ci+7^+qUwRc@yzg% zp)^0u-ctscN zC%k$R^|!l!y49Hhe(<`zHzgZHSs(saBIOyo2kTnIcg6EI??dOTyjBJ0 zsaRTeiuG4fS!sXkv5wB!05!*Q)0^fSA3@JKW_ehcmPdx+}T9G14^e6){*|ZA;o<_-#7BC_ZL|o(U10XHJ5y3*`H^@-+Kk( z$}yqv*Zqn_Th8k>r+nIvAzollh~@ee?HhV%OK`dV@*vAi)qTiExa9*Ew}O7P+?hwe zkF!rBPzPD)HqLPs#AzS%?oQ{_gHj8vUM{|exXiU2>Y&PRP6S^_zvDaKGWY-T!HZID zK6j2Iu4z*dKIY^^tS_^|hwAX>F8Iij8#h}YQ7##J_2B^JbFoJo>%*JA0oMtEv@fkJ zj&oVxUV?m7^VyWo_#BvrsvE^s4bC90n6f;{`j{61)UU01u`bl$3R`Sk-e?`=x#$Ia zc;IYlIrFD;&5Wk?D|bAeXMIHK7pg-S`u>Ck48b_c%Adex&(E08=GW89;h!rAapkvR z$cGp*OLg!PV!fh^wF9?_;@YQC0|rM$@hqoRGIW`2cyV_#4{Wm1tp+n5q%xf(x? zd{`53{