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A clean and lucid implementation of cycleGAN using PyTorch

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Hi, your code is very clean thanks! But I think that naming can be confusing. At https://github.com/arnab39/cycleGAN-PyTorch/blob/master/model.py#L107 you named `a_fake = self.Gab(b_real)`, the generator of `a` to `b` taking a...

Hi , I ma getting an error for OSError: image file is truncated. for my dataset. Could you please advice. Thanks

Whenever i try to run it on colab it shows: File "main.py", line 40, in main create_link(args.dataset_dir) File "/content/drive/My Drive/cycleGAN-PyTorch/utils.py", line 37, in create_link os.path.join(dirs[key], 'Link')) Operation not supported: '/content/drive/My...

In training, discriminator gradient is set to false while generator is updating. But I tried with no discriminator lock, and it it seems the result was same. I wonder the...

You are setting '0′ to the offset parameter at 'utils.LambdaLR'. I don't know how to use it. Is it always '0' even if training was continued?

Hello, I am getting this error. I have implemented your code ,but written a custom dataset loader for my image patches. Can you tell me how can I solve this...

Currently the code use GPU by default. Can we train it by using CPU??