Comments (5)
myw8
commented on July 24, 2024
when training the d_loss and g_loss,are there any problems with them?
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myw8
commented on July 24, 2024
My training data set
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myw8
commented on July 24, 2024
the loss hat_imgs completed
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bamos
commented on July 24, 2024
Hi @myw8 - these results could be from a poor generative model or from poor optimization over the latent space. I think we should use ADAM instead of GD to optimize over the latent space. If you implement this please send in a PR and link to issue #9.
-Brandon.
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myw8
commented on July 24, 2024
I set lam=0 and found the complete_ loss(contextual_loss) have no change. Is it because a poor generative model? should I build a single channel generative model?How to do it,Can you recommend some information，thank you very much!
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Related Issues (20)
- Key generator/g_h5/w not found in checkpoint HOT 3
- NotFoundError (see above for traceback): Key generator/g_h6/w not found in checkpoint HOT 2
- ValueError: setting an array element with a sequence. HOT 2
- Getting "in complete assert(isLoaded) AssertionError" when running complete.py on my own checkpoints directory HOT 1
- error while using complete.py
- there is nothing in the folder “sample” after 25 epoch HOT 6
- Why data in one epoch didn't shuffle?
- Key discriminator/d_bn0/beta not found in checkpoint? HOT 8
- OOM error when training data
- NotFoundError (see above for traceback): Key discriminator/d_bn0/beta not found in checkpoint HOT 1
- conditional infilling
- what is the usage of the lowres parameter， why the contextual_loss includes this part
- Bug in code that computes the weighs based on the mask
- Cannot feed value of shape (64, 64, 64) for Tensor 'real_images:0', which has shape '(?, 64, 64, 3)' HOT 1
- Final result after 1000 epochs HOT 2
- how to changing image_size HOT 1
- Sorry But I don't know what exactly mean 'delete the checkpoint directory to train a new model' HOT 1
- Issues while training the model HOT 1
- Training with existing model in checkpoint directory
- Changing image_size error HOT 1
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