This repository is the PyTorch implementation for the network presented in:
Aditya Arun, C.V. Jawahar, and M. Pawan Kumar,
Learning Human Poses from Actions,
[BMVC 2018](arXiv:1807.09075, 2018).
[Project Page] [Paper] [Supplementary] [ArXiv]
If you use this code, please consider citing our work.
@inproceedings{posesfromactions2018,
title={Learning Human Poses from Actions},
author={Arun, Aditya and Jawahar, C.~V and Kumar, M. Pawan},
booktitle={BMVC},
year={2018}
}
- cudnn
- PyTorch
- Python with h5py, opencv and progress
- Optional: tensorboard
- Modify
src/ref.py
to setup the MPII dataset path and root directory. - Run
Prediction Net
python main.py -arch pred_net
- Run
Conditional Net
python main.py -arch cond_net