A tutorial for basic spatial filtering of imagery on the GPU using PyTorch. This is an easy way to complement and accelerate traditional numpy/scipy/OpenCV image processing or image synthesis workflows
License: MIT License
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Should be able to minimally show numpy vs pytorch vs cupy, and then if time allows write up the theory behind all this. Model it off of my blurb, and include equations and helpers.
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