DFST
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About CycleGan.py
When running CycleGan.py, the values of dA_loss_fake and B_loss_fake are [0.999XXX, 0.0], is this normal? Moreover, D loss has been maintained at about 0.5, acc is 50%, and the adv of G loss has always been 0.

It shall be fine. As a stable GAN will have a discriminator loss around 0.5. Besides, we've updated a pre-trained "generator.h5". You can directly use it for your experiment.