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👐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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