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tooslib.py
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909 lines (865 loc) · 40.2 KB
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from matplotlib import pyplot as plt
import re
import math
import random
import numpy as np
import cv2
import pandas as pd
from pandas import DataFrame
def serch_rc(pads_in,parts_in,e=15):
for part_inf in parts_in:
part_name=part_inf[3]
if re.match(r'"C{1}\d+"$', part_name, re.I) is not None or re.match(r'"R{1}\d+"$', part_name, re.I) is not None:
candi_list=[]
part_center_x=part_inf[0]
part_center_y=part_inf[1]
for index,pad_inf in enumerate(pads_in):
if pad_inf[3]==1:
continue
pad_center_x,pad_center_y=pad_inf[2]
distance=get_dist(part_center_x,part_center_y,pad_center_x,pad_center_y)
if distance<e:
candi_list.append([index,distance])
candi_list=sorted(candi_list,key=lambda x:x[1])
while len(candi_list)>=2:
temp_points_list=[pads_in[candi_list[0][0]][2],pads_in[candi_list[1][0]][2]]
x, y, w, h = my_bounding_rect(temp_points_list)
device_centerx = x + w / 2.0
device_centery = y + h / 2.0
temp_dist = get_dist(device_centerx, device_centery, part_center_x, part_center_y)
if temp_dist<1e-3:
part_inf[-1].append(candi_list[0][0])
part_inf[-1].append(candi_list[1][0])
pads_in[candi_list[0][0]][3] = part_name
pads_in[candi_list[1][0]][3] = part_name
break
else:
candi_list.remove(candi_list[0])
# if len(candi_list)<2:
# part_inf[-1].append('ERROR!')
# print 'e_ERROR!'
# else:
# part_inf[-1].append(candi_list[0][0])
# part_inf[-1].append(candi_list[1][0])
# pads_in[candi_list[0][0]][3]=part_name
# pads_in[candi_list[1][0]][3] = part_name
def get_dist(x1,y1,x2,y2):
del_x=x1-x2
del_y=y1-y2
return math.sqrt(del_x**2+del_y**2)
def find_device_with_label(pad_info_l_in,part_inf_l_in):
parts_dict={}
for part_inf in part_inf_l_in:
PartX, PartY, Angle, PartName, PackageName = part_inf.centerx,part_inf.centery,\
part_inf.angel,part_inf.part_name,part_inf.package_name
parts_dict[PartName]=[part_inf]
for index,pad_info in enumerate(pad_info_l_in):
if pad_info.label==PartName:
parts_dict[PartName].append(pad_info)
return parts_dict
def find_device_nearst(pad_info_l_in,part_inf_l_in):
parts_dict={}
for part_inf in part_inf_l_in:
PartX, PartY, Angle, PartName, PackageName = part_inf.centerx,part_inf.centery,\
part_inf.angel,part_inf.part_name,part_inf.package_name
parts_dict[PartName]=[part_inf]
for pad_info in pad_info_l_in:
if pad_info.nearst_index is None:
print 'pad_info.nearst_index is None!Init it befor use!'
return None
if part_inf_l_in[pad_info.nearst_index].part_name==PartName:
parts_dict[PartName].append(pad_info)
return parts_dict
def draw_pad(type_name,points,pad_center,color,show_center):
x=[]
y=[]
if type_name=='RECT':
minx, miny, maxx, maxy=points
x = [minx, maxx, maxx, minx, minx]
y = [miny, miny, maxy, maxy, miny]
elif type_name=='ROUND':
centerx, centery, diameter=points
num_points=30
radius = diameter / 2.0
x = []
y = []
for i in range(num_points):
angel = 0 + 2 * math.pi * (i * 1.0 / (num_points - 1))
x.append(centerx + radius * math.sin(angel))
y.append(centery + radius * math.cos(angel))
elif type_name=='POLY':
data_in=points
x = []
y = []
for i in range(len(data_in)):
if i % 2 == 0:
x.append(data_in[i])
else:
y.append(data_in[i])
x.append(x[0])
y.append(y[0])
if show_center:
plt.scatter(pad_center[0],pad_center[1],color=color,marker='.')
# x.append(pad_in[2][0])
# y.append(pad_in[2][1])
plt.plot(x,y,color=color)
def draw_part(PartX, PartY,color,marker):
plt.scatter(PartX, PartY, c=color, marker=marker)
def my_bounding_rect(points):
x_min=points[0][0]
y_min=points[0][1]
x_max=points[0][0]
y_max=points[0][1]
for point in points:
if point[0]<x_min:
x_min=point[0]
if point[0]>x_max:
x_max=point[0]
if point[1]<y_min:
y_min=point[1]
if point[1]>y_max:
y_max=point[1]
return x_min,y_min,x_max-x_min,y_max-y_min
def draw_device(devices,show_center=False,show_text=False,show_edge=False,do_index=None):
plt.figure(figsize=(50,50))
plt.axis("equal")
for part_name, pad_info in devices.items():
PartX, PartY, Angle, PartName, PackageName = pad_info[0].centerx,pad_info[0].centery, \
pad_info[0].angel,pad_info[0].part_name,pad_info[0].package_name
r = random.random()
g = random.random()
b = random.random()
color = (r, g, b)
if len(pad_info)==1:
plt.text(PartX, PartY, PartName, color='r', fontsize=20)
draw_part(PartX, PartY, color='r', marker='+')
print 'NONE!!'
continue
sum_pad_x = 0
sum_pad_y = 0
points_list=[]
for index, pad in enumerate(pad_info):
if index == 0:
continue
sum_pad_x += pad.centerx
sum_pad_y += pad.centery
points_list.append([pad.centerx, pad.centery])
draw_pad(pad.shape,pad.points_list,(pad.centerx,pad.centery), color=color, show_center=show_center)
sum_pad_x /= (len(pad_info) - 1)
sum_pad_y /= (len(pad_info) - 1)
points_nda = np.array(points_list, dtype=np.float32)
# box2d = cv2.minAreaRect(points_nda)
# if (box2d[1][0]<1e-3 or box2d[1][1]<1e-3) and abs(box2d[-1]-180.0)<1e-3:
# box2d=list(box2d)
# box2d[1]=list(box2d[1])
# box2d[1]=(box2d[1][1],box2d[1][0])
# box2d[-1]=0
# box2d=tuple(box2d)
# boundary4points = cv2.boxPoints(box2d)
lx, ly, w, h = my_bounding_rect(points_nda)
boundary4points=[[lx,ly],[lx+w,ly],[lx+w,ly+h],[lx,ly+h]]
boundary4points_x = [x[0] for x in boundary4points]
boundary4points_x.append(boundary4points[0][0])
boundary4points_y = [x[1] for x in boundary4points]
boundary4points_y.append(boundary4points[0][1])
# rect = plt.Rectangle(boundary4points[1], box2d[1][0], box2d[1][1], angle=box2d[2], fill=False)
# rect.contains_point([15.0, 7.6])
plt.plot(boundary4points_x, boundary4points_y, color=(0.5, 0.24, 1))
# plt.scatter(box2d[0][0], box2d[0][1], color=(0.1, 0.75, 0.1), marker='x')
# print x,y,w,h
plt.scatter(lx+w/2, ly+h/2, color=(0.1, 0.75, 0.1), marker='x')
# temp_dist = get_dist(PartX, PartY, sum_pad_x, sum_pad_y)
# plt.scatter(sum_pad_x, sum_pad_y, color='k', marker='x')
draw_part(PartX, PartY, color=color, marker='+')
# if PartName in ("\"CN11\"","\"CN23\"","\"CN5\""):
# print 'in'
# plt.text(PartX, PartY, PartName, color=color, fontsize=10)
if show_text:
plt.text(PartX, PartY, PartName, color=color, fontsize=10)
# plt.text(PartX, PartY, PartName + '+' + PackageName, color=color, fontsize=10)
if do_index!=None:
plt.text(PartX, PartY, str(do_index[PartName]), color=color, fontsize=10)
plt.savefig('qwe.jpg')
plt.show()
def draw_circle(cx,cy,r,color):
theta = np.linspace(0, 2*np.pi,50)
q,w = cx+np.cos(theta)*r, cy+np.sin(theta)*r
plt.plot(q, w, color=color, linewidth=1.0)
plt.scatter(cx, cy, color=color, marker='x')
def draw_cmp(solution_index,answer_index,pad_inf_l,part_inf_l):
plt.axis('equal')
print len(solution_index)
for e_num,index in enumerate(solution_index):
if index==answer_index[e_num]:
draw_pad(pad_inf_l[e_num].shape,pad_inf_l[e_num].points_list,
(pad_inf_l[e_num].centerx,pad_inf_l[e_num].centery),color='g',show_center=True)
else:
draw_pad(pad_inf_l[e_num].shape, pad_inf_l[e_num].points_list,
(pad_inf_l[e_num].centerx, pad_inf_l[e_num].centery), color='r', show_center=True)
for part_inf in part_inf_l:
draw_part(part_inf.centerx,part_inf.centery,color='g',marker='+')
parts_ans_dict = {}
for e_num,index in enumerate(answer_index):
if index not in parts_ans_dict:
parts_ans_dict[index]=[e_num]
else:
parts_ans_dict[index].append(e_num)
for key,val in parts_ans_dict.items():
points=[]
for e_num in val:
points.append([pad_inf_l[e_num].centerx,pad_inf_l[e_num].centery])
cx,cy,r=get_out_circle(points)
draw_circle(cx,cy,r,color='y')
parts_solu_dict = {}
for e_num,index in enumerate(solution_index):
if index not in parts_solu_dict:
parts_solu_dict[index]=[e_num]
else:
parts_solu_dict[index].append(e_num)
for key,val in parts_solu_dict.items():
points=[]
for e_num in val:
points.append([pad_inf_l[e_num].centerx,pad_inf_l[e_num].centery])
cx,cy,r=get_out_circle(points)
draw_circle(cx,cy,r,color='m')
pass
def get_outer_circle_three(A,B,C):
a1=B[0]-A[0]
b1=B[1]-A[1]
c1=(a1*a1+b1*b1)/2.0
a2=C[0]-A[0]
b2=C[1]-A[1]
c2 = (a2 * a2 + b2 * b2)/2.0
d = (a1 * b2 - a2 * b1)*1.0
if d!=0:
x = A[0] + (c1 * b2 - c2 * b1) / d
y = A[1] + (a1 * c2 - a2 * c1) / d
return x,y
else:
point_list=[A,B,C]
point_list=sorted(point_list,key=lambda x:(x[0],x[1]))
x,y=point_list[1]
return x,y
def get_out_circle(points):
point_num=len(points)
eps = 1e-8
if point_num==1:
return points[0][0],points[0][1],0
elif point_num==2:
return (points[0][0]+points[1][0])/2.0,(points[0][1]+points[1][1])/2.0,get_dist(points[0][0],points[0][1],(points[0][0]+points[1][0])/2.0,(points[0][1]+points[1][1])/2.0)
else:
center=[points[0][0],points[0][1]]
r=0
for i in range(1,point_num):
if get_dist(center[0],center[1],points[i][0],points[i][1])+eps>r:
center = [points[i][0], points[i][1]]
r=0
for j in range(i):
if get_dist(center[0],center[1],points[j][0],points[j][1])+eps>r:
center[0]=(points[i][0]+points[j][0])/2.0
center[1] = (points[i][1] + points[j][1]) / 2.0
r=get_dist(center[0],center[1],points[j][0],points[j][1])
for k in range(j):
if get_dist(center[0],center[1],points[k][0],points[k][1])+eps>r:
center[0],center[1]=get_outer_circle_three(points[i],points[j],points[k])
r=get_dist(center[0],center[1],points[k][0],points[k][1])
return center[0],center[1],r
def out_circle_and_index(points,index_in):
point_num=len(points)
eps = 1e-8
index_sta={}
if point_num==1:
index_sta[index_in[0]]=[]
return points[0][0],points[0][1],0,index_sta
elif point_num==2:
index_sta[index_in[0]] = []
index_sta[index_in[1]] = []
return (points[0][0]+points[1][0])/2.0,(points[0][1]+points[1][1])/2.0,get_dist(points[0][0],points[0][1],(points[0][0]+points[1][0])/2.0,(points[0][1]+points[1][1])/2.0),index_sta
else:
center=[points[0][0],points[0][1]]
r=0
for i in range(1,point_num):
if get_dist(center[0],center[1],points[i][0],points[i][1])+eps>r:
center = [points[i][0], points[i][1]]
r=0
for j in range(i):
if get_dist(center[0],center[1],points[j][0],points[j][1])+eps>r:
center[0]=(points[i][0]+points[j][0])/2.0
center[1] = (points[i][1] + points[j][1]) / 2.0
r=get_dist(center[0],center[1],points[j][0],points[j][1])
for k in range(j):
if get_dist(center[0],center[1],points[k][0],points[k][1])+eps>r:
center[0],center[1]=get_outer_circle_three(points[i],points[j],points[k])
r=get_dist(center[0],center[1],points[k][0],points[k][1])
for e_num,point in enumerate(points):
if math.fabs(get_dist(point[0],point[1],center[0],center[1])-r)<1e-7:
index_sta[index_in[e_num]] = []
return center[0],center[1],r,index_sta
def get_geo_center(points):
sum_x=0
sum_y=0
for point in points:
sum_x+=point[0]
sum_y+=point[1]
sum_x=sum_x*1.0/len(points)
sum_y=sum_y*1.0/len(points)
return sum_x,sum_y
def getMinIndex(my_list):
min = my_list[0]
for i in my_list:
if i < min:
min = i
return my_list.index(min)
def dist_statsctic(pad_info_l_in,part_inf_l_in):
devices=find_device_with_label(pad_info_l_in, part_inf_l_in)
dist_sta=[]
angle_sta=[]
angle_label=[]
width_sta=[]
height_sta=[]
number_sta=[]
bound_sta=[]
for part_name, pad_info in devices.items():
PartX, PartY, Angle, PartName, PackageName = pad_info[0].centerx,pad_info[0].centery, \
pad_info[0].angel,pad_info[0].part_name,pad_info[0].package_name
if len(pad_info)==1:
plt.text(PartX, PartY, PartName, color='r', fontsize=20)
draw_part(PartX, PartY, color='r', marker='+')
print 'NONE!!'
continue
points_list=[]
for index, pad in enumerate(pad_info):
if index == 0:
continue
points_list.append([pad.centerx,pad.centery])
points_nda = np.array(points_list, dtype=np.float32)
x_min,y_min,wid,hei=my_bounding_rect(points_nda)
my_bounding_disdt=get_dist(PartX, PartY, x_min+wid/2, y_min+hei/2)
box2d = cv2.minAreaRect(points_nda)
temp_dist = get_dist(PartX, PartY, box2d[0][0], box2d[0][1])
dist_sta.append(temp_dist)
angle_sta.append(box2d[2])
width_sta.append(box2d[1][0])
height_sta.append(box2d[1][1])
angle_label.append(Angle)
number_sta.append(len(pad_info)-1)
bound_sta.append(my_bounding_disdt)
excel_table_path = 'statistic.xlsx'
writer = pd.ExcelWriter(excel_table_path)
data = DataFrame(data={'dist_sta': dist_sta,'angle_sta':angle_sta,
'angle_label':angle_label,'width_sta':width_sta,'height_sta':height_sta,
'number_sta':number_sta,
'bound_sta':bound_sta
})
DataFrame.to_excel(data, writer, sheet_name='Sheet1', startcol=0)
# excel_table_path = 'statistic.xlsx'
# data_ori = pd.read_excel(excel_table_path)
# writer = pd.ExcelWriter(excel_table_path)
# data = DataFrame(data={iteam: dist_list})
# data_save = pd.concat([data_ori, data], axis=1)
# data_save = DataFrame(data_save)
# DataFrame.to_excel(data_save, writer, sheet_name='Sheet1', startcol=0)
def get_device_index(pad_info_l_in,part_inf_l_in):
pass
def draw_device_with_index(pad_info_l_in,part_inf_l_in):
pass
def final_search(pad_info_l_in,part_inf_l_in):
device=find_device_with_label(pad_info_l_in,part_inf_l_in)
pad_number=1
toler_thresh=1e-3
de_thresh=2.5
part_index_do=[i for i in range(len(part_inf_l_in))]
pad_index_do=[i for i in range(len(pad_info_l_in))]
done=True
record_log_file = open('record.txt', 'w')
wrong_log_file=open('wrong.txt','w')
print_index=0
while True:
if de_thresh < 1e-3:
break
print_index+=1
print_index%=100000
if print_index%1000==0:
print 'part_num:',len(part_index_do),'pad_do_num:',\
len(pad_index_do),'pad_number:',pad_number,\
'toler_thresh:',toler_thresh,'de_thresh:',de_thresh
if len(part_index_do) == 1 or len(pad_index_do) == 0:
break
star_iter_num=len(pad_index_do)
for index in part_index_do:
if done:
min_dist = 1e3
for other_index in part_index_do:
if other_index==index:
continue
temp_dist=get_dist(part_inf_l_in[index].centerx,part_inf_l_in[index].centery,
part_inf_l_in[other_index].centerx, part_inf_l_in[other_index].centery)
if temp_dist<min_dist:
min_dist=temp_dist
part_inf_l_in[index].search_radius=min_dist
# print min_dist
temp_candi_list = []
for pad_index in pad_index_do:
temp_dist = get_dist(part_inf_l_in[index].centerx, part_inf_l_in[index].centery,
pad_info_l_in[pad_index].centerx, pad_info_l_in[pad_index].centery)
if temp_dist<=part_inf_l_in[index].search_radius:
temp_candi_list.append([pad_index,temp_dist])
temp_candi_list=sorted(temp_candi_list,key=lambda x:x[1],reverse=False)
part_inf_l_in[index].candi_elements=temp_candi_list
if pad_number>len(part_inf_l_in[index].candi_elements):
continue
this_num_dev_dist=0
find_succeed=False
for i in range(pad_number,len(part_inf_l_in[index].candi_elements)):
points_list = []
for j in range(i):
# print len(part_inf_l_in[index].candi_elements),j
points_list.append([pad_info_l_in[(part_inf_l_in[index].candi_elements[j][0])].centerx,
pad_info_l_in[(part_inf_l_in[index].candi_elements[j][0])].centery])
points_nda = np.array(points_list, dtype=np.float32)
box2d = cv2.minAreaRect(points_nda)
# print box2d,points_nda
temp_dist=get_dist(box2d[0][0],box2d[0][1],part_inf_l_in[index].centerx,part_inf_l_in[index].centery)
if i==pad_number:
this_num_dev_dist=temp_dist
# print this_num_dev_dist
if this_num_dev_dist>toler_thresh:
find_succeed=False
break
else:
if temp_dist<=de_thresh:
find_succeed=False
break
if i==len(part_inf_l_in[index].candi_elements)-1:
if this_num_dev_dist<=toler_thresh:
find_succeed=True
if find_succeed:
content=str(index)+' '
for j in range(pad_number):
pad_info_l_in[part_inf_l_in[index].candi_elements[j][0]].answer=index
pad_index_do.remove(part_inf_l_in[index].candi_elements[j][0])
if part_inf_l_in[index].part_name!=pad_info_l_in[part_inf_l_in[index].candi_elements[j][0]].label:
print 'lost'
else:
content+=str(part_inf_l_in[index].candi_elements[j][0])+' '
content+='\n'
record_log_file.writelines(content)
if len(device[part_inf_l_in[index].part_name])-1==pad_number:
pass
# print 'succeed!','num succeed!'
else:
print 'succeed!','num lost!',pad_number,'/',len(device[part_inf_l_in[index].part_name])
wrong_log_file.writelines(str(index)+' '+str(pad_number)+' '+
str(len(device[part_inf_l_in[index].part_name])-1)+' '+
str(de_thresh)+
'\n')
part_index_do.remove(index)
done=True
break
else:
pass
end_iter_num=len(pad_index_do)
if end_iter_num == star_iter_num:
done=False
# if end_iter_num==star_iter_num and pad_number>300:
# toler_thresh+=1e-3
# pad_number=1
# if toler_thresh>=0.01:
# toler_thresh=1e-3
# de_thresh-=1e-1
if end_iter_num==star_iter_num and pad_number>300:
# toler_thresh=1e-3
pad_number=1
de_thresh -= 1e-2
if de_thresh<=1.5:
de_thresh += 1e-2
de_thresh -= 1e-3
# toler_thresh+=1e-2
# de_thresh=2.5
else:
pad_number+=1
wrong_log_file.close()
record_log_file.close()
def point_in_rect(point,left_bot,right_top):
if point[0]<left_bot[0]:
return False
if point[1]<left_bot[1]:
return False
if point[0]>right_top[0]:
return False
if point[1]>right_top[1]:
return False
return True
def get_devieces_do_index(pad_info_l_in,part_inf_l_in):
part_index_do = [i for i in range(len(part_inf_l_in))]
part_index_do = sorted(part_index_do,
key=lambda x: (0.9*max(abs(part_inf_l_in[x].centerx), abs(part_inf_l_in[x].centery))+
0.1*(abs(part_inf_l_in[x].centerx) + abs(part_inf_l_in[x].centery))
),
reverse=True)
devices_index_sta={}
for index,i in enumerate(part_index_do):
devices_index_sta[part_inf_l_in[i].part_name]=index
return devices_index_sta
def core(x):
if x>=0:
return str(int(x*10)/10.0)
else:
return str(-1*int(x * 10) / 10.0)
# def core(x):
# if x>=0:
# return str(round(x,1))
# else:
# return str(-1*round(x,1))
def second_search(pad_info_l_in,part_inf_l_in,max_edge=50):
strict_factor=3
device=find_device_with_label(pad_info_l_in,part_inf_l_in)
print 'find device with label complete.'
for index, part_info in enumerate(part_inf_l_in):
part_info.get_around_thing(index, part_inf_l_in, pad_info_l_in,radius=max_edge)
print 'around thing get complete.'
part_index_do = [i for i in range(len(part_inf_l_in))]
part_index_do=sorted(part_index_do,key=lambda x: (0.9*max(abs(part_inf_l_in[x].centerx), abs(part_inf_l_in[x].centery))
+0.1*(abs(part_inf_l_in[x].centerx) + abs(part_inf_l_in[x].centery))),
reverse=True)
print part_index_do
pad_index_do = [i for i in range(len(pad_info_l_in))]
part_complete={}
pad_complete={}
for order_index,this_index in enumerate(part_index_do):
if this_index in part_complete:
continue
part_centerx = part_inf_l_in[this_index].centerx
part_centery = part_inf_l_in[this_index].centery
part_name = part_inf_l_in[this_index].part_name
posi_pad_x={}
negi_pad_x={}
abs_pad_x={}
posi_pad_y={}
negi_pad_y={}
abs_pad_y={}
candi_width=0
candi_width_list=[0.001]
candi_height=0
candi_height_list=[0.001]
for near_index_dist in part_inf_l_in[this_index].aroundPad:
if near_index_dist[0] in pad_complete:
# print 'in'
continue
this_pad_index=near_index_dist[0]
delta_x=pad_info_l_in[this_pad_index].centerx-part_centerx
delta_y=pad_info_l_in[this_pad_index].centery-part_centery
if delta_x < 0:
delta_x_str = core(delta_x)
negi_pad_x[delta_x_str] = True
negi_pad_x[core(delta_x-1e-2)] = True
negi_pad_x[core(delta_x + 1e-2)] = True
if delta_x_str in posi_pad_x:
if delta_x_str not in abs_pad_x:
candi_width = -1 * delta_x
candi_width_list.append(-1 * delta_x+0.1)
abs_pad_x[delta_x_str]=True
else:
delta_x_str = core(delta_x)
posi_pad_x[delta_x_str] = True
posi_pad_x[core(delta_x-1e-2)] = True
posi_pad_x[core(delta_x + 1e-2)] = True
if delta_x_str in negi_pad_x:
if delta_x_str not in abs_pad_x:
candi_width = delta_x
candi_width_list.append(delta_x+0.1)
abs_pad_x[delta_x_str] = True
if delta_y < 0:
delta_y_str = core(delta_y)
negi_pad_y[delta_y_str] = True
negi_pad_y[core(delta_y-1e-2)] = True
negi_pad_y[core(delta_y + 1e-2)] = True
if delta_y_str in posi_pad_y:
if delta_y_str not in abs_pad_y:
candi_height = -1 * delta_y
candi_height_list.append(-1 * delta_y+0.1)
abs_pad_y[delta_y_str] = True
else:
delta_y_str = core(delta_y)
posi_pad_y[delta_y_str] = True
posi_pad_y[core(delta_y-1e-2)] = True
posi_pad_y[core(delta_y + 1e-2)] = True
if delta_y_str in negi_pad_y:
if delta_y_str not in abs_pad_y:
candi_height = delta_y
candi_height_list.append(delta_y+0.1)
abs_pad_y[delta_y_str] = True
# print posi_pad_x
# print negi_pad_x
# print candi_height,candi_width
perfect_width=0.01
perfect_height=0.01
max_delta=0
perfect_candi_index=[]
succeed=False
candi_width_list=sorted(candi_width_list,reverse=True)
candi_height_list=sorted(candi_height_list,reverse=True)
# candi_width_list.reverse()
# candi_height_list.reverse()
print ' ',candi_width_list
print ' ',candi_height_list
for candi_width in candi_width_list:
for candi_height in candi_height_list:
# candi_width+=0.01
# candi_height+=0.01
# print candi_width,candi_height,
points_candi=[]
points_candi_index=[]
for near_index_dist in part_inf_l_in[this_index].aroundPad:
this_pad_index = near_index_dist[0]
if this_pad_index in pad_complete:
continue
delta_x = pad_info_l_in[this_pad_index].centerx - part_centerx
delta_y = pad_info_l_in[this_pad_index].centery - part_centery
# print delta_x,delta_y
if abs(delta_x)<=candi_width and abs(delta_y)<=candi_height:
points_candi.append([pad_info_l_in[this_pad_index].centerx,pad_info_l_in[this_pad_index].centery])
points_candi_index.append(this_pad_index)
if len(points_candi)!=0:
x,y,w,h=my_bounding_rect(points_candi)
device_centerx=x+w/2.0
device_centery=y+h/2.0
temp_dist=get_dist(device_centerx,device_centery,part_centerx,part_centery)
# print 'qwe',temp_dist,
points_nda = np.array(points_candi, dtype=np.float32)
box2d = cv2.minAreaRect(points_nda)
# print box2d,points_nda
temp_dist_min_rect = get_dist(box2d[0][0], box2d[0][1], part_centerx,
part_centery)
no_part_in=True
if temp_dist<1e-3 or temp_dist_min_rect<1e-3:
for around_part_index in part_inf_l_in[this_index].aroundPart:
if around_part_index in part_complete:
continue
around_part_point=[part_inf_l_in[around_part_index].centerx,part_inf_l_in[around_part_index].centery]
if point_in_rect(around_part_point,[x,y],[x+w,y+h]):
no_part_in=False
break
if no_part_in:
succeed=True
temp_min_delta=min(candi_width,candi_height)
if temp_min_delta>max_delta:
max_delta=temp_min_delta
perfect_width = candi_width
perfect_height = candi_height
perfect_candi_index=points_candi_index
else:
pass
else:
pass
if succeed and candi_width<max_delta:
break
if succeed:
print order_index, this_index, 'succeed!', len(perfect_candi_index), '/', len(
device[part_inf_l_in[this_index].part_name]) - 1,part_inf_l_in[this_index].package_name,\
part_inf_l_in[this_index].angel,perfect_width,perfect_height
for p_index in perfect_candi_index:
pad_complete[p_index] = True
part_complete[this_index]=True
pad_info_l_in[p_index].do=this_index
pad_info_l_in[p_index].result=part_name
else:
print order_index, this_index,'lost',0,'/', len(
device[part_inf_l_in[this_index].part_name]) - 1,part_inf_l_in[this_index].package_name, \
part_inf_l_in[this_index].angel
pass
def third_search(pad_info_l_in,part_inf_l_in,max_edge=50):
strict_factor=3
device=find_device_with_label(pad_info_l_in,part_inf_l_in)
print 'find device with label complete.'
for index, part_info in enumerate(part_inf_l_in):
part_info.get_around_thing(index, part_inf_l_in, pad_info_l_in,radius=max_edge)
print 'around thing get complete.'
part_index_do = [i for i in range(len(part_inf_l_in))]
part_index_do=sorted(part_index_do,key=lambda x: (0.9*max(abs(part_inf_l_in[x].centerx), abs(part_inf_l_in[x].centery))
+0.1*(abs(part_inf_l_in[x].centerx) + abs(part_inf_l_in[x].centery))),
reverse=True)
print part_index_do
pad_index_do = [i for i in range(len(pad_info_l_in))]
part_complete={}
pad_complete={}
for order_index,this_index in enumerate(part_index_do):
if this_index in part_complete:
continue
part_centerx = part_inf_l_in[this_index].centerx
part_centery = part_inf_l_in[this_index].centery
abs_pad_x={}
abs_pad_y={}
candi_width=0
candi_width_list=[0.01]
candi_height=0
candi_height_list=[0.01]
for near_index_dist in part_inf_l_in[this_index].aroundPad:
if near_index_dist[0] in pad_complete:
# print 'in'
continue
this_pad_index=near_index_dist[0]
delta_x=pad_info_l_in[this_pad_index].centerx-part_centerx
delta_y=pad_info_l_in[this_pad_index].centery-part_centery
if delta_x < 0:
delta_x_str = core(delta_x)
if delta_x_str not in abs_pad_x:
abs_pad_x[delta_x_str]=True
candi_width_list.append(-1 * delta_x+0.01)
else:
pass
else:
delta_x_str = core(delta_x)
if delta_x_str not in abs_pad_x:
abs_pad_x[delta_x_str]=True
candi_width_list.append(delta_x+0.01)
else:
pass
if delta_y < 0:
delta_y_str = core(delta_y)
if delta_y_str not in abs_pad_y:
abs_pad_y[delta_y_str]=True
candi_height_list.append(-1 * delta_y+0.01)
else:
pass
else:
delta_y_str = core(delta_y)
if delta_y_str not in abs_pad_y:
abs_pad_y[delta_y_str]=True
candi_height_list.append(delta_y+0.01)
else:
pass
# print posi_pad_x
# print negi_pad_x
# print candi_height,candi_width
perfect_width=0.01
perfect_height=0.01
perfect_candi_index=[]
succeed=False
candi_height_list.reverse()
candi_width_list.reverse()
for candi_width in candi_width_list:
for candi_height in candi_height_list:
# candi_width+=0.01
# candi_height+=0.01
# print candi_width,candi_height,
points_candi=[]
points_candi_index=[]
for near_index_dist in part_inf_l_in[this_index].aroundPad:
this_pad_index = near_index_dist[0]
if this_pad_index in pad_complete:
continue
delta_x = pad_info_l_in[this_pad_index].centerx - part_centerx
delta_y = pad_info_l_in[this_pad_index].centery - part_centery
if abs(delta_x)<=candi_width and abs(delta_y)<=candi_height:
points_candi.append([pad_info_l_in[this_pad_index].centerx,pad_info_l_in[this_pad_index].centery])
points_candi_index.append(this_pad_index)
if len(points_candi)!=0:
x,y,w,h=my_bounding_rect(points_candi)
device_centerx=x+w/2.0
device_centery=y+h/2.0
temp_dist=get_dist(device_centerx,device_centery,part_centerx,part_centery)
if temp_dist<1e-3:
succeed=True
perfect_width=candi_width
perfect_height=candi_height
perfect_candi_index=points_candi_index
break
# print order_index,this_index,'succeed!',len(points_candi_index),'/',len(device[part_inf_l_in[this_index].part_name]) - 1
# for p_index in points_candi_index:
# pad_complete[p_index]=True
else:
pass
# print order_index,this_index,'lost',temp_dist
else:
pass
# print order_index,this_index,'None'
if succeed:
print order_index, this_index, 'succeed!', len(perfect_candi_index), '/', len(
device[part_inf_l_in[this_index].part_name]) - 1,part_inf_l_in[this_index].package_name
for p_index in perfect_candi_index:
pad_complete[p_index] = True
else:
print order_index, this_index,'lost',0,'/', len(
device[part_inf_l_in[this_index].part_name]) - 1,part_inf_l_in[this_index].package_name
pass
# record_log_file = open('record.txt', 'w')
# wrong_log_file = open('wrong.txt', 'w')
# print_index = 0
# for s in range(1):
# print_index += 1
# print_index %= 100000
# if print_index % 1000 == 0:
# print 'part_num:', len(part_index_do), 'pad_do_num:', len(pad_index_do)
# if len(part_index_do) == 1 or len(pad_index_do) == 0:
# break
# for e_index,part_index in enumerate(part_index_do):
# part_centerx = part_inf_l_in[part_index].centerx
# part_centery = part_inf_l_in[part_index].centery
# for ele in part_inf_l_in[part_index].aroundPart:
# if ele in part_complete:
# part_inf_l_in[part_index].aroundPart.remove(ele)
# for ele in part_inf_l_in[part_index].aroundPad:
# if ele[0] in pad_complete:
# part_inf_l_in[part_index].aroundPad.remove(ele)
# temp_points_list=[]
# candi_points_list=[]
# star_iter_num = len(pad_index_do)
# for index in part_index_do:
# temp_candi_list = []
# for i in range(pad_number, len(part_inf_l_in[index].candi_elements)):
# points_list = []
# for j in range(i):
# # print len(part_inf_l_in[index].candi_elements),j
# points_list.append([pad_info_l_in[(part_inf_l_in[index].candi_elements[j][0])].centerx,
# pad_info_l_in[(part_inf_l_in[index].candi_elements[j][0])].centery])
# points_nda = np.array(points_list, dtype=np.float32)
# box2d = cv2.minAreaRect(points_nda)
# # print box2d,points_nda
# temp_dist = get_dist(box2d[0][0], box2d[0][1], part_inf_l_in[index].centerx,
# part_inf_l_in[index].centery)
# if i == pad_number:
# this_num_dev_dist = temp_dist
# # print this_num_dev_dist
# if this_num_dev_dist > toler_thresh:
# find_succeed = False
# break
# else:
# if temp_dist <= de_thresh:
# find_succeed = False
# break
# if i == len(part_inf_l_in[index].candi_elements) - 1:
# if this_num_dev_dist <= toler_thresh:
# find_succeed = True
# if find_succeed:
# content = str(index) + ' '
# for j in range(pad_number):
# pad_info_l_in[part_inf_l_in[index].candi_elements[j][0]].answer = index
# pad_index_do.remove(part_inf_l_in[index].candi_elements[j][0])
# if part_inf_l_in[index].part_name != pad_info_l_in[part_inf_l_in[index].candi_elements[j][0]].label:
# print 'lost'
# else:
# content += str(part_inf_l_in[index].candi_elements[j][0]) + ' '
# content += '\n'
# record_log_file.writelines(content)
# if len(device[part_inf_l_in[index].part_name]) - 1 == pad_number:
# pass
# # print 'succeed!','num succeed!'
# else:
# print 'succeed!', 'num lost!', pad_number, '/', len(device[part_inf_l_in[index].part_name])
# wrong_log_file.writelines(str(index) + ' ' + str(pad_number) + ' ' +
# str(len(device[part_inf_l_in[index].part_name]) - 1) + ' ' +
# str(de_thresh) +
# '\n')
# part_index_do.remove(index)
# done = True
# break
# else:
# pass
# end_iter_num = len(pad_index_do)
# if end_iter_num == star_iter_num:
# done = False
# if end_iter_num == star_iter_num:
# break
# wrong_log_file.close()
# record_log_file.close()