The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
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What is the difference between correlation package and correlation native implementation #33
I'm having issues using the correlation package. So, I was thinking of the native implementation you've provided. I would like to understand the differences between them.
Is the difference just that one is implemented in c++ and the other in python, but both do the exact same things and are identical in performance?
Is it just that the correlation package is faster than native implementation, but the accuracy will be the same?
Or is it that the correlation package achieves better performance (both speed and accuracy) than the native implementation? If so, how wide is the gap?
I'm having issues using the correlation package. So, I was thinking of the native implementation you've provided. I would like to understand the differences between them.