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Real-Time ArcFace Multiplex Recognition

Face Detection and Recognition using RetinaFace and ArcFace, can reach nearly 24 fps at GTX1660ti.

ArcFace Demo

How to run

  • Install yarn
    • sudo apt install curl
    • curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add -
    • echo "deb https://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list
    • sudo apt update && sudo apt install yarn
  • Electron Node-JS Client
    • cd electron-client
    • yarn or npm install
    • yarn start or npm start
  • Build R-CNN for Retina Face
    • cd ..
    • chmod a+x ./build_rcnn.sh
    • ./build_rcnn.sh
  • Python Deal
    • python3 usb_camera.py -c X e.g: Replace X with 0
    • Click the corresponding Camera {X} Button at Electron

How to train mlp classifier

  • mkdir ./Temp/raw
  • mkdir ./Temp/train_data
  • Place training pictures in the following format:
    ─── train_data
        ├── bush
        │   ├── 1559637960.1595788.jpg
        │   ├── 1559637960.1762984.jpg
        │   └── 1559637960.2001894.jpg
        ├── clinton
        │   ├── 1559637960.2104468.jpg
        │   ├── 1559637960.2225769.jpg
        │   └── 1559637960.281161.jpg
        └── obama
            ├── 1559637960.2940397.jpg
            ├── 1559637960.31212.jpg
            └── 1559637960.3381834.jpg
  • python3 train_mlp.py

Verification

LResNet100E-IR network trained on MS1M-Arcface dataset with ArcFace loss:

Method LFW(%) CFP-FP(%) AgeDB-30(%)
Ours 99.80+ 98.0+ 98.20+

Citation

@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 Conference on Computer Vision and Pattern Recognition},
  pages={5203--5212},
  year={2020}
}

@inproceedings{deng2019arcface,
  title={Arcface: Additive angular margin loss for deep face recognition},
  author={Deng, Jiankang and Guo, Jia and Xue, Niannan and Zafeiriou, Stefanos},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},
  pages={4690--4699},
  year={2019}
}

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适用于复杂场景的人脸识别身份认证系统

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