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karfly avatar karfly commented on June 29, 2024 1

Hi, @rakesh-menon.

Such problem appears, because in our experiments we use full Human3.6M test-set (all frames) and we published precalculated results for all frames. This repository extracts not all, but some of the frames, and that's why you got size mismatch.

In #42 I uploaded new precalculated results which should work with preprocessing pipeline from this repository. Please, update them and tell if it helped you.

from learnable-triangulation-pytorch.

shrubb avatar shrubb commented on June 29, 2024 1

@rakesh-menon
It seems like #42 has provided a quick fix by changing that Google drive file (now it is aligned with our Human3.6M preprocessing instructions). Everything should work now, so I decided to leave the code as is.

Thanks for reporting!

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shrubb avatar shrubb commented on June 29, 2024

This is a notorious problem, happens when you have a different number of images in the dataset from what we had. You're not the first one to face it, so I think we're going to refactor this section entirely, hopefully today.

from learnable-triangulation-pytorch.

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