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@bonseyes-admin I had replicate the results in WLFW dataset, you can try.
@mrgloom I think meanpose model is just for face location.
@yangyangkiki if you just want to evaluate the performance of WLFW dataset, Just use WFLW data as input, and data augmentation and croping face operation is not neccessary. my email...
Thank you for your timely reply. I made a mistake in the formula , so that the result was quite different from the test result you published. And Failure rate...
Hi, I did again as what you told. The result was similar with you. thank you so much!
when I read the code in file tools/alignment_tools.cpp，I found that the prediction process used annotated points. line 246 ` vector label_71pt_list(71*2); for (size_t j=0; j
thank you for you reply. You means that I need detect the position of face in one image, then crop the face, feed into the LAB， can get landmark. So...
Yes, I used the cropped the face as input, get very good landmark. but the time is 500ms. the cropped face size is less than 600*800. I had build caffe...
So happy for you reply. I just modify the code in the alignment_tool.cpp. ` caffe::Caffe::set_mode(caffe::Caffe::CPU);` to ` caffe::Caffe::SetDevice(0); caffe::Caffe::set_mode(caffe::Caffe::GPU);` . Is it the GPU version code？ or any other code...
@Seanlinx on the basis of your work, how can I change the code to add landmarks localization?