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License: GNU General Public License v3.0
An experiment in DCGAN using Donald Trump's face as the dataset benchmark
License: GNU General Public License v3.0
I got off a TikToker a bunch of Alien Crop Circle images. They even have classes (years of spotting). But they need preprocessing:
Since the switch to lightning
I can't seem to get metrics out of main.py
to Tensorboard.
I suspect this may need fixing.
Line 75 in a2cfe9f
Surely I need to calculate mean and std on the dataset, this hardecoded tensor seems wrong.
Maybe we can calculate the BGR std and mean programmatically?
PyTorch Lightning has a lot of different GANs we can use, but I've only got so much time between projects and work.
Maybe we can use another GAN instead of DCGAN to get better outputs/fakes?
See here: https://github.com/nocotan/pytorch-lightning-gans/tree/master/models
If so, which one and why?
Line 25 in a2cfe9f
According to pytorch (https://pytorch.org/docs/stable/generated/torch.nn.functional.conv_transpose2d.html)
I need this torch.backends.cudnn.deterministic = True
If i want to make the GPU compute deterministic for the Conv Transposes, but this will have a penalty in execution time.
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