![](http://i1.daumcdn.net/thumb/C148x148.fwebp.q85/?fname=https://blog.kakaocdn.net/dn/cnSboC/btq1XULwd1f/PePKV7sTIIc1NCSVta2tg1/img.png)
Update 2021.09.03 GitHub - Hzzone/pytorch-openpose: pytorch implementation of openpose including Hand and Body Pose Estimation. pytorch implementation of openpose including Hand and Body Pose Estimation. - GitHub - Hzzone/pytorch-openpose: pytorch implementation of openpose including Hand and Body Pose Estimation. github.com 쓰기는 이게 더 편하나듯. ubuntu 16.04에서 offical caffe implemented software 를 다운로드..
![](http://i1.daumcdn.net/thumb/C148x148.fwebp.q85/?fname=https://blog.kakaocdn.net/dn/bScLdt/btqvcf1mAL4/dpLpPjMU2EzwU8l2w1Y97K/img.png)
GAN을 공부하다가 tutorial 코드에 netD(fake.detach())가 어떤 원리인 지 이해가 안 갔다. 의도야 설명에 나온대로 netG에 backpropagation이 안되도록, 즉 첫번째 스텝에서는 netD만 학습하려는 것이라는 건 알겠다. (code: pytorch gan tutorial) ## Train with all-fake batch # Generate batch of latent vectors noise = torch.randn(b_size, nz, 1, 1, device=device) # Generate fake image batch with G fake = netG(noise) label.fill_(fake_label) # Classify all fake batch with D..
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