facer
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Face analysis tools for modern research, equipped with state-of-the-art Face Parsing and Face Alignment
FACER
Face related toolkit. This repo is still under construction to include more models.
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
@article{zheng2021farl,
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},
journal={arXiv preprint arXiv:2112.03109},
year={2021}
}