Create a fast real-time face recognition app with a few lines of Python code. The scripts have been tested. Please make sure to go through the code for more details on how to debug

face_taker.py

1. Take pictures using the face_taker.py script. After you enter the user name, the script will save 30 images of your face in the images folder and names.json file with association between ID number and user name. The ID number represents a single face. Note: Make sure your face is centered. The window will collapse when all the 30 pictures are taken.

face_train.py

2. The face_tain.py script will train a model to recognize all the faces from the 30 images taken using face_taker.py and save the training output in the trainer.yml file.

face_recognizer.py

3. The face_recognizer.py is the main script. The program will recognize the face according to the ID. i.e., If Joe has an ID = 1, his name should appear in the dictionary of names.json as attribute 1 like such:

{
    "1": "Joe"
}

Requirements:

• pip install opencv-python
• pip install opencv-contrib-python --upgrade or pip install opencv-contrib-python
• pip install pillow