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I am training on my own dataset. In stage 2, I get this image(up to down: GT, image feed to the generator, result)
As you can see, a darker mask is still on the image.
Have you ever experienced that? Or, what should I do next? Wait for a longer time, or optimize some hyper-parameters? (Now the parameters are copied from your code and not changed)
The text was updated successfully, but these errors were encountered:
The posted results did seem problematic. Did the first stage training converge? Could you share the training loss trend of both first and second stage?
It seems you need to training the first stage longer since you conduct natural scenes inpainting. Besides, you may reverse the channel order of the shown images. It appears in BRG instead of RGB channels.
Hi~
I am training on my own dataset. In stage 2, I get this image(up to down: GT, image feed to the generator, result)
As you can see, a darker mask is still on the image.
Have you ever experienced that? Or, what should I do next? Wait for a longer time, or optimize some hyper-parameters? (Now the parameters are copied from your code and not changed)
The text was updated successfully, but these errors were encountered: