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Accuracy issues #7
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Hello, Thank you for reporting this. 20 % drop you refer to, does it correspond to the map obtained by surfmnet or by surfmnet +pmf(refinement)? Also, what do you mean by match exceeding the limit? |
Hello, I am very happy to receive your reply. I followed the code you provided to download and ran the code here. The network parameters in the test provided in your code are trained on Faust_original data, and good results can be obtained. But I used the code you provided to train the network with the Faust_remesh data set 00-79, and then use the Faust_remesh data set 80-99 to test the network, but I still can't get the result of Supervised Methods on FAUST Remesh as shown in Figure 3 in your paper. I used the method mentioned in your letter to get the result, and during the processing, the index will be out of bounds. For example, the remesh data A has 4999 vertices, and the matches obtained by using your test_DFMnet.py file may exist. The index value is 5000. Thank you again for your reply, and sincerely ask for your answers. |
Hi, this should not be the case. At the moment, I am a bit busy with iccv deadline. Can you perhaps try this repo in pytorch ,also written by a student in our lab? https://github.com/pvnieo/SURFMNet-pytorch |
hello, I ran the code according to your recommended version of pytorch, but I still encounter the same problem. Looking forward to your answers again when you are finished. |
Hi, You mean accuracy issue or index out of bound issue? |
Hi, Thanks for your reply, I do have these problems at the moment. But it is worth noting that these problems only occur when using code to train Faust_remesh. When I train Faust_origin and download FAUST_remeshed_matches on the https://drive.google.com/open?id=1qvqtJz-_zvMxC0ZMuFGbtlKxc9Py3Ggg you provided, the accuracy obtained after processing is the result shown in your paper, which makes me very confused. Perhaps if the model.ckpt file of your Faust_remesh training at that time is still there, can you send a copy to the email address [email protected]? I want to use your trained model file to test again, thank you very much! |
Hi, thanks for your great work. But when I train the Faust of remesh like the code you provided, I can't get the same accuracy as the GT you provided. The accuracy is about 20% lower, and the match I get exceeds the limit. How can I solve this problem?
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