Face related toolkit
Project description
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@master
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}
}
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
No source distribution files available for this release.
See tutorial on generating distribution archives.
Built Distribution
pyfacer-0.0.1-py3-none-any.whl
(19.0 kB
view hashes)