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File "D:\develop\workspace\AnimeGAN\AnimeGAN.py", line 232, in train
anime, anime_smooth, real = self.sess.run([anime_img_op, anime_smooth_op, real_img_op])
tensorflow.python.framework.errors…
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Hello, Can you help me?
I rewrite AnimeGAN by tensorflow2.0. All hyperparameters are the same as your code.
But I found that in the training process, at first the generator generated the correc…
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I used more shinkai data and real images to train AnimeGAN, and got artifacts on my generated image as follow
![image](https://user-images.githubusercontent.com/8428787/80185196-870b9900-863e-11ea-80…
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Great job!
I ran the code with python 3.7.4 and tf 1.15.0 to reproducing the results. And I found it hard to train the Paprika style well with default hyperparameter settings. It seems that the GAN …
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Hello,TachibanaYoshino
I want to know the host configuration of your research algorithm and the time when animegan runs on this host?Thanks.
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Hi, experts
That's a nice work and I finished to rewrite your code using pytorch and the training result as attached file.
I found out network try transfer to more "smooth area" on trees especially…
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When i run
```
python3 main.py --phase test --dataset Hayao --checkpoint_dir checkpoint/AnimeGAN.model-60
```
I get strange results like
![1](https://user-images.githubusercontent.com/57224…
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the result are just like a filtered pic.
i tried both checkpoints:
Haoyao-style.zip
Haoyao-style-initial-checkpoint.zip
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### Expected behaviour
"pip install opencv-python" should install opencv-python, as it has on my Windows machine.
### Actual behaviour
I am sshing into a CentOS machine and "pip install openc…