edigomes / facial-recognition-tensorflow-azure

Packages

    pip install opencv-python
    pip install tensorflow==1.15.*
    pip install scipy
    pip install flask
    pip install flask-restful
    pip install azure-eventgrid
    pip install azure-storage-blob

Features

• Facail detection and recognition using Tensorflow model, don't use Dlib
• Store unidentified faces to Microsoft Azure storage
• Send the Azure event whenever recognize the known faces
• Run as script or flask server
• Send request to register or remove user to the engine

Running

• Add user to database

    python main.py  add  image_file  face_name
  

  For example

    python main.py  add  1.jpg  Maria
  

• Delete user from database

    python main.py  del/remove  face_name
  

  For example

    python main.py  del  Maria
    python main.py  remove  Maria
  

• Check the image and recognize the face, detect the mask

    python main.py  check  image_file
  

  For example

    python main.py  check  1.jpg
  

  The output format will be

    Checking user ...
        Face detected => Name: John, Score: 97.67, Gender: Male
        Face detected => Name: Maria, Score: 97.44, Gender: Female
  

• Check the video and recognize the face, detect the mask

    python main.py  check  video_file
  

  For example

    python main.py  check  1.mp4
  

• Check the Web cam

    python main.py  check  webcam
  

• Run flask server

    python flask_server.py