face-parsing.PyTorch
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Using modified BiSeNet for face parsing in PyTorch
Hi Team, While using the pretrained model I am getting the above error on running test.py. Upon searching on the internet I got that it might be due to corrupted...
I need to calculate the loss of adjacent frames in a region of the image at 1024 resolution, should I interpolate the resulting mask to 1024 size?
Hi, Thanks for your great work. I used your face parse network as part of an upcoming academic contribution. Do you have a preferred paper that I should cite?
眼睛闭眼的时候 眼睛部分是没有区分开 这是为什么 不考虑眼睛的位置嘛
Since there are 17 classes[1] in the prepare stags, while there are 19 classes in pretrained model from `test.py`.[2] So,my concern is what is the differences between those two models?...
I can open drive.google.com ,but i cant download the file