pyfacer 0.0.2

Face related toolkit

FACER

Face related toolkit. This repo is still under construction to include more models.

Updates

• [04/05/2023] Face alignment model trained on IBUG300W, AFLW19, WFLW dataset is available, check it out here.
• [27/04/2023] Face parsing model trained on CelebM dataset is available, check it out here.

Install

The easiest way to install it is using pip:

pip install git+https://github.com/FacePerceiver/facer.git@main

No extra setup needs, pretrained weights will be downloaded automatically.

Face Detection

We simply wrap a retinaface detector for easy usage. Check this notebook.

Please consider citing

@inproceedings{deng2020retinaface,
  title={Retinaface: Single-shot multi-level face localisation in the wild},
  author={Deng, Jiankang and Guo, Jia and Ververas, Evangelos and Kotsia, Irene and Zafeiriou, Stefanos},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={5203--5212},
  year={2020}
}

Face Parsing

We wrap the FaRL models for face parsing. Check this notebook.

Please consider citing

@inproceedings{zheng2022farl,
  title={General facial representation learning in a visual-linguistic manner},
  author={Zheng, Yinglin and Yang, Hao and Zhang, Ting and Bao, Jianmin and Chen, Dongdong and Huang, Yangyu and Yuan, Lu and Chen, Dong and Zeng, Ming and Wen, Fang},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={18697--18709},
  year={2022}
}

Face Alignment

We wrap the FaRL models for face alignment. Check this notebook.

Please consider citing

@inproceedings{zheng2022farl,
  title={General facial representation learning in a visual-linguistic manner},
  author={Zheng, Yinglin and Yang, Hao and Zhang, Ting and Bao, Jianmin and Chen, Dongdong and Huang, Yangyu and Yuan, Lu and Chen, Dong and Zeng, Ming and Wen, Fang},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={18697--18709},
  year={2022}
}