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```
#Hello author, I have some questions about wgangp. If I use grayscale images as input and change the number of channels to 1, the code will result in the following error:RuntimeError: Given group…
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Hi, I can get good results with cyclegan in 'lsgan' mode on horse2zebra dataset, but when I change the gan mode to 'wgangp' and follow your codes:
self.loss_gp, gradients = cal_gradient_penalty()...
…
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Traceback (most recent call last):
File "wgangp_64x64.py", line 444, in
train()
File "wgangp_64x64.py", line 340, in train
_x = inf_train_gen().next()
File "wgangp_64x64.py", l…
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Hello,
I have a question regarding your implementation of WGAN-GP based pix2pix.
It seems you just used the WGAN loss
```
elif self.gan_mode == 'wgangp':
if target_is_real…
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As refered in #93 , discriminator is the key to get sharp image. But in my experiments, sometime aeloss get negative values.
![image](https://user-images.githubusercontent.com/7460776/151085947-a0e0…
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本科阶段并没有进行过相应的学习,导师和师兄也不是该方向的,我该具体如何运行和调试该代码呢?
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i rewrite caogang/wgangp code to generate 512*512 images , i add 2-3 conv2d layers in Dnet and Gnet, but when i run that code ,the loss explode to 30000000, and after i train the model 50k epochs with…
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Hello,
Thank you for the implementation of the Wasserstein GANs mode and GP loss!
I followed the way proposed here: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/issues/439
It works fo…
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when I run the .py,there are sonme errors:
Traceback (most recent call last):
File "D:\Anaconda\envs\tensorflow\lib\site-packages\tensorflow\python\framework\common_shapes.py", line 686, in _cal…
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HI, @A03ki
I want to train this f-anoGAN networks with my image datasets.
my directory structure is below,
├── f-AnoGAN
│ ├── your_own_dataset
│ │ ├── dataset
│ │ │ ├── SD_3D_…