Instructions to use py-feat/mp_facemesh_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Py-Feat
How to use py-feat/mp_facemesh_v2 with Py-Feat:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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## Model Sources
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- **Repository**: [GitHub Repository](https://github.com/cosanlab/py-feat)
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- **Model Card**: [
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- **Paper**: [
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## Citation
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If you use the mp_facemesh_v2 model in your research or application, please cite the following paper:
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## Model Sources
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- **Repository**: [GitHub Repository](https://github.com/cosanlab/py-feat)
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- **Model Card**: [Mediapipe FaceMesh model card](https://storage.googleapis.com/mediapipe-assets/Model%20Card%20MediaPipe%20Face%20Mesh%20V2.pdf)
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- **Paper**: [Attention Mesh: High-fidelity Face Mesh Prediction in Real-time](https://arxiv.org/abs/2006.10962)
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## Citation
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If you use the mp_facemesh_v2 model in your research or application, please cite the following paper:
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