infoGAN-pytorch
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Arbitrary size images
Thanks for this awesome simple to understand repo.
I'm trying to use this for data augmentation, for a new dataset with size 128x128, and a latent variable which is a vector of size 37.
I tried to play a bit with the Conv2d parameters, but unfortunately no configuration I tried made it run without errors. I was wondering if you can please add a size-dependent convolution to the source code, so in the future anyone with any size can just input their size and get this working correctly.
Thanks
Thanks for your feedback. I may add this feature later. Also pull request is welcome.
Thank you! If I'll figure out how this works I'll submit a pull request.