Comments (3)
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.
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@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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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.
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