mirror of
https://github.com/deepinsight/insightface.git
synced 2026-05-19 15:41:33 +00:00
37 lines
979 B
Markdown
37 lines
979 B
Markdown
# RetinaFace Anti Cov Face Detector
|
|
|
|
## Introduction
|
|
|
|
RetinaFace-Anti-Cov is a customized one stage face detector to help people protect themselves from CovID-19.
|
|
|
|
|
|
|
|
|
|
## Testing
|
|
|
|
Please check ``test.py`` for testing.
|
|
|
|
Make sure that you set ``network='net3l'`` instead of ``'net3'`` for 'mnet_cov2' model, otherwise you will get incorrect landmarks.
|
|
|
|
## Pretrained Models
|
|
|
|
~~MobileNet0.25([baidu cloud](https://pan.baidu.com/s/1p8n4R2W-9WmmBWxYQEFcWg),code: fmfm)~~
|
|
|
|
Better: MobileNet0.25 ([baidu cloud](https://pan.baidu.com/s/16ihzPxjTObdbv0D6P6LmEQ), code: j3b6, [dropbox](https://www.dropbox.com/s/6rhhxsbh2qik65k/cov2.zip?dl=0))
|
|
|
|
|
|
|
|
## References
|
|
|
|
```
|
|
|
|
@inproceedings{deng2019retinaface,
|
|
title={RetinaFace: Single-stage Dense Face Localisation in the Wild},
|
|
author={Deng, Jiankang and Guo, Jia and Yuxiang, Zhou and Jinke Yu and Irene Kotsia and Zafeiriou, Stefanos},
|
|
booktitle={arxiv},
|
|
year={2019}
|
|
}
|
|
```
|
|
|
|
|