Comments (3)
Hello,
Even I am facing exactly the same issue.
Can anybody guide me with the appropriate solution for it?? My generator accuracy is too bad for a custom dataset.
And here while training the input dataset can be any resolution irrespective of what output we generate???
Thanks
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I am reworking much of the GAN code right now for full 2.0 compatibility, I will address this as well very soon.
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There was an issue here, this should be fixed with my 2.0 redesign. Of course, if you push the resolution considerably higher, you may need to adjust the network structure to be able to account for it, or it may fail to converge. But you should not see an error like was reported here.
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Related Issues (20)
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