Data Augmentation

[lld533]

In training, I notice that all InputMatirxs obtained by get_aug_matrix are all identical. It means that there is no translation/rotation/scale/etc. for any input image and pose pair.

Actually, there is little rotation angle as the default input argument for get_aug_matrix. And it's interesting to see these little changes are ALL suppressed when it's called. Could you please kindly explain the pros and cons of doing so? As stated in other issue, the released model works not that good when we pass poor human pose estimation results. Can we improve the issue with some active data augmentation during training? Many thanks!