arnab39 / cyclegan-pytorch Goto Github PK

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 Drive/cycleGAN-PyTorch/datasets/horse2zebra/trainA' -> '/content/drive/My Drive/cycleGAN-PyTorch/datasets/horse2zebra/ltrainA/Link'

what can i do?

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?

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

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 error

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 lock code needs in PyTorch?

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

Hello, great code.
I think you should add one more option to map from B to A in testing

Besides, we do not need to shuffle in testing.

    a_test_data = dsets.ImageFolder(dataset_dirs['testA'], transform=transform)
    b_test_data = dsets.ImageFolder(dataset_dirs['testB'], transform=transform)


    a_test_loader = torch.utils.data.DataLoader(a_test_data, batch_size=args.batch_size, shuffle=True, num_workers=4)
    b_test_loader = torch.utils.data.DataLoader(b_test_data, batch_size=args.batch_size, shuffle=True, num_workers=4)

You save my life~

Do you think this is mode collapse? (Training: 50% epoch: 100/200)
horse2zebra

I want to know how to Improve this problem, thanks.

I run main.py on Google Colab , and I got the message bellow.

File "/content/grive/My Drive/CycleGAN/cycleGAN-PyTorch/utils.py", line 37, in create_link os.path.join(dirs[key], 'Link')) OSError: [Errno 95] Operation not supported: '/content/grive/My Drive/CycleGAN/cycleGAN-PyTorch/datasets/horse2zebra/trainA' -> './datasets/horse2zebra/ltrainA/Link'

I think it's better to copy trainA to ltrainA without using the link.

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 b example should not generate the identity (a_idt)? In all examples I show, the followed nomenclature for generators is this Gxy, generator from x to y...

Assuming that, all generators naming are reversed. What do you think?