👐OpenHands : Making Sign Language Recognition Accessible
Project description
👐OpenHands: Sign Language Recognition Library
Making Sign Language Recognition Accessible
Check the documentation on how to use the library:
ReadTheDocs: 👐OpenHands
Installation
- For stable version:
pip install --upgrade openhands_sl - For latest development version:
pip install git+https://github.com/AI4Bharat/OpenHands
Basic Usage
import openhands as oh
# List available models and datasets
print(oh.list_models())
print(oh.list_datasets())
License
This project is released under the Apache 2.0 license.
Datasets used
Please cite the respective datasets if you used them in your research. Also check the licensing terms for the dataset used.
| Dataset | Link |
|---|---|
| AUTSL | Link |
| CSL | Link |
| DEVISIGN | Link |
| GSL | Link |
| INCLUDE | Link |
| LSA64 | Link |
| WLASL | Link |
Extraction of poses
For datasets without the pose data, poses can be extracted from the videos using this script.
Citation
If you find our work useful in your research, please consider citing us:
@misc{2021_openhands_slr_preprint,
title={OpenHands: Making Sign Language Recognition Accessible with Pose-based Pretrained Models across Languages},
author={Prem Selvaraj and Gokul NC and Pratyush Kumar and Mitesh Khapra},
year={2021},
eprint={2110.05877},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
@inproceedings{
nc2022addressing,
title={Addressing Resource Scarcity across Sign Languages with Multilingual Pretraining and Unified-Vocabulary Datasets},
author={Gokul NC and Manideep Ladi and Sumit Negi and Prem Selvaraj and Pratyush Kumar and Mitesh M Khapra},
booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
year={2022},
url={https://openreview.net/forum?id=zBBmV-i84Go}
}
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