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Questions about batch size larger than 1
When I run the validation code with given pretrained checkpoint on Panoptic dataset, I found that there is something wrong with batch size larger than 1. For example, When batch size=1, the precision can be reproduced.
When batch size=2, it seems that the model fails to predict correctly.
Does anyone get the similar problem? Or can you please give some advice about the reason of this problem? thx!
Also have same problem.
I got the same problem as well when I reimplement the algorithm. The training speed is really slow and the performance is really bad.
Does anyone have a solution?
In this repo, I didn't find an available solution. But there is an re-implementation of MvP in Mocap (https://github.com/openxrlab/xrmocap), batch size larger than 1 is okay in that repo.
please refer to https://github.com/openxrlab/xrmocap for improved implementation