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cartoongan-tensorflow's Issues

Do not work well

The batch size has been changed to 4. I also changed the iteration. I prepared 4000 images for training. However, converting an image does not look like a cartoon.

Where should I change the other distributed programs?

Files missing?

Hi,

Thanks for this work. However, I do not find the edge_smooth.py and other relevant .py files in the repository.

Thanks,
Akilesh

Inference with different input shape

Hi , thanks for your work, I have trained one model with image size 256*256, I could get good results in samples, but when I test it with other input shape, it get worse , do you know why it happened?

trainA or TrainB, which one is the cartoon images dir?

Hi, I train the model on P40 GPU about two days, but get a incorrect results.
TrainA is cartoon images, about 5000+.
TrainB is real world video images, about 7000+
My hyperparameter:
batch_size = 1
epoch = 100
init_epoch=10
When finish the train, d_loss: 0.00018069, g_loss: 237.02038574

There hyperparameter are right?
Can you share the train sets info or hyperparameter?

Thank you!

vgg 19 loss

self.conv4_4_no_activation = self.no_activation_conv_layer(self.conv4_3, "conv4_4")

The CartoonGAN uses the feature maps in the layer ‘conv4_4’ to compute our semantic content loss. I think it means use relu with conv4_4. Why don't you use conv4_4 without relu?
thx a lot

No cartoonization

After running the picture, it did not turn into a cartoon picture, but I felt that the resolution was lowered. I don’t know what caused it.

Dataset and batch_size

Hi, thank you for your great work,
May I ask you 2 questions about this:

  • What is the batch_size during your training?
  • How many images in trainA and trainB that you using in your dataset.
    Thank you so much.

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