HRNet / HigherHRNet-Human-Pose-Estimation

This is an official implementation of our CVPR 2020 paper "HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation" (https://arxiv.org/abs/1908.10357)
MIT License
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Role of Numpy #49

Open H19012 opened 4 years ago

H19012 commented 4 years ago

Here( https://github.com/HRNet/HigherHRNet-Human-Pose-Estimation/blob/b4610aecaa5cf3de3cd69bfb13c7c79c8d514c7c/lib/core/group.py#L170) the Tensor was converted to Numpy array. Is this necessary? Doesn't Torch have the required APIs like mean and norm?