thank you for your code
i have a question about the adversarial loss part
lwg_trainer.py -> optimize_G line 767 the loss is calculate by match the output to zero
" self._loss_g_adv = self.crt_gan(d_fake_outs, 0) * self._train_opts.lambda_D_prob"
for my understanding, d_fake_outs is 6 channels :
the first 3 channels are generate target
the last 3 channels are the ground truth pose(or shape) of the target person
my question is why not match it to 1? instead of 0
thank you
thank you for your code i have a question about the adversarial loss part
lwg_trainer.py -> optimize_G line 767 the loss is calculate by match the output to zero " self._loss_g_adv = self.crt_gan(d_fake_outs, 0) * self._train_opts.lambda_D_prob" for my understanding, d_fake_outs is 6 channels : the first 3 channels are generate target the last 3 channels are the ground truth pose(or shape) of the target person my question is why not match it to 1? instead of 0 thank you