Face recognition with User interface

In this project, we use learning based model to extract face features and to recognize who you are. Also, we create an elegant user interface in order to provide a good user experience. By interacting with our UI, you can add/remove your face in our database.

• Block Diagram

Requirements

• Python 3.5.2
• Tensorflow
• PyQt5
• OpenCV

Pretrained-Model

Please download FaceNet pretrained model from here, extract and put it in CVFinal/pretrained_models/FaceNet/

Usage

• Run Face recognition :

  python3 Top.py

• Register identity face :

  • Click the bounding box and type your name

• Remove identity face :

  • Choose your name on the list and click remove buttom.

Result

• Environment Setup
  
• Register identity face
  

References

• Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks Paper
• Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks Code
• FaceNet: A Unified Embedding for Face Recognition and Clustering Paper
• FaceNet: A Unified Embedding for Face Recognition and Clustering Code

License

MIT