/Learner_server

Learner flask server

Primary LanguageJupyter Notebook

Learner_server

  • Flask : 1.1.2
  • Werkzeug : 0.16.1
  • opencv
  • dlib
  • facenet-pytorch
  1. Install requirements
pip install flask cmake
pip install opencv-python dlib facenet-pytorch
  1. Make model folder
mkdir JFace/models
  1. Download model files
  1. Start app
python api.py

App

Face recognition

  1. Face Detection (Dlib)
  2. Face Randmark (Dlib, MTCNN)
  3. Face Alignment (Dlib)
  4. Face Crop (Dlib)
  5. Face Identification (Dlib, InceptionResnetV1)

Reference