bearpaw / Pose Attention
Licence: bsd-3-clause
Code for "Multi-Context Attention for Human Pose Estimation " (CVPR 2017)
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Multi-Context Attention for Human Pose Estimation
This repository includes Torch code for evaluation and training of the network presented in:
Xiao Chu, Wei Yang, Wanli Ouyang, Cheng Ma, Alan L. Yuille, Xiaogang Wang, Multi-Context Attention for Human Pose Estimation, CVPR, 2017. (arXiv preprint)
The code is developed upon Stacked Hourglass Network.
Installation
To run this code, the following packages must be installed:
- Torch7
- hdf5 (and the torch-hdf5 package)
- cudnn
- qlua (for displaying results)
-
matio: to save predictions in Matlab's
.matfile.
Testing
For testing, please go to the test directory and follow the README for instructions.
Training
For training, please go to the train directory and follow the README for instructions.
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