Hi, thanks for the great code!

I wonder do you have plans to support resuming from checkpoints for classification? As we all know, in terms of training ImageNet, the training process is really long and it can be interrupted somehow, but I haven't notice any code related to "resume" in scripts/classification/train_imagenet.py.

Maybe @hetong007 ? Thanks in advance.

Hi everybody

Currently only one sample per GPU is possible while executing tests, which leads to very slow validation and testing for me. I assume to fix this the forward_test methods for the TopDown and BottomUp classes would need to be updated. Is this planned anytime soon or should I give it a try myself to contribute?

@Lotayou (a.k.a myself) I just found that my SMPL UV data at hand is messed up, UV vertices' topology does not match that of SMPL 3D mesh. Here's the result:

This e