[ ] FreiHAND evaluation code
[ ] Multi-view inference code
[07/2023] HaMuCo is accepted to ICCV 2023 :partying_face:!
[01/2023] Training and evaluation codes on HanCo are released.
./data/HanCo/HaMuCo_*.zip
.${ROOT}
|-- data
| |-- HanCo
| | |-- calib
| | |-- rgb
| | |-- rgb_2d_keypoints
| | |-- rgb_merged
| | |-- xyz
conda create -n hamuco python=3.7
pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio==0.9.1 -f https://download.pytorch.org/whl/torch_stable.html
cd HaMuCo
pip install -r ./requirements.txt
./train.py
to train and evaluate on the HanCo dataset.If you find our work useful for your research, please consider citing the paper:
@inproceedings{
zheng2023hamuco,
title={HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning},
author={Zheng, Xiaozheng and Wen, Chao and Xue, Zhou and Ren, Pengfei and Wang, Jingyu},
booktitle={Proceedings of the IEEE/CVF international conference on computer vision},
year={2023}
}
Distributed under the MIT License. See LICENSE
for more information.
The pytorch implementation of MANO is based on manopth. We thank the authors for their great job!