Run ERROR

[GitRealNB]

pic = (torch.cat([real_A, real_B,fake_B], dim=0) + 1) / 2.0 torchvision.utils.save_image(pic_1, '%s/Epoch_(%d)_(%dof%d).jpg' % ( save_dir, epoch, total_steps + 1, len(dataset_train)), nrow=2)

pic_1 not defined, 是不是要把pic_1改成pic？ 按如上修改后，save_dir not defined 这是为啥呢？是代码执行的先后顺序有问题吗？

[kkamankun]

fix pic_1 with pic.

[kkamankun]

type an absolute path instead of the save_dir variable.

[GitRealNB]

fix pic_1 with pic.

想请教一下 怎么设置epoch个数啊？目前是120？

[GitRealNB]

type an absolute path instead of the save_dir variable. wana ask where to change epoch？ now sets as 120

[kkamankun]

Check out the Opion class. To change the default epoch, change the value of opt.niter, opt.niter_decay.

[GitRealNB]

Check out the Opion class. To change the default epoch, change the value of opt.niter, opt.niter_decay.

thanks! I am sorry for bother you again! I don't know why the mask has been stored in Maskroot, why always masktype = 'center'? The mask in the folder does not seem to be used

[GitRealNB]

Check out the Opion class. To change the default epoch, change the value of opt.niter, opt.niter_decay.

thanks! I am sorry for bother you again! I don't know why the mask has been stored in Maskroot, why always masktype = 'center'? The mask in the folder does not seem to be used

why the testdate only output just one figure?

[kkamankun]

If you change the value of self.mask_type to 'random', mask in the folder is used to train the model.

[18130282610]

pic = (torch.cat([real_A, real_B,fake_B], dim=0) + 1) / 2.0 torchvision.utils.save_image(pic_1, '%s/Epoch_(%d)_(%dof%d).jpg' % ( save_dir, epoch, total_steps + 1, len(dataset_train)), nrow=2)

pic_1 not defined, 是不是要把pic_1改成pic？ 按如上修改后，save_dir not defined 这是为啥呢？是代码执行的先后顺序有问题吗？

你好！请问你这个 save_dir 未定义的问题是怎么解决的？

[18130282610]

Hi! Do you mean this? torchvision.utils.save_image(pic, '%s/Epoch_(%d)_(%dof%d).jpg' % ( r'F:\save', epoch, total_steps + 1, len(dataset_train)), nrow=2)

[TT-mouse]

Hi! Do you mean this? torchvision.utils.save_image(pic, '%s/Epoch_(%d)_(%dof%d).jpg' % ( r'F:\save', epoch, total_steps + 1, len(dataset_train)), nrow=2)

pic = (torch.cat([real_A, real_B,fake_B], dim=0) + 1) / 2.0 torchvision.utils.save_image(pic_1, '%s/Epoch_(%d)_(%dof%d).jpg' % ( save_dir, epoch, total_steps + 1, len(dataset_train)), nrow=2) pic_1 not defined, 是不是要把pic_1改成pic？ 按如上修改后，save_dir not defined 这是为啥呢？是代码执行的先后顺序有问题吗？

你好！请问你这个 save_dir 未定义的问题是怎么解决的？

请问save_dir 未定义这个问题您是怎么解决的？