Real-Time-Face-Recognition (OpenCV)

This is a full step Python program to create an efficient real-time face recognition app.

Steps:

Run Face_taker.py script. The script will generate and save 50 images from the photo present in person's admit card and save it to the images folder. So for now there is the test2.png image for testing but we can use database to fetch the image of the person who is giving exam.
The Face_tain.py script will train a model to recognize your face from the 50 images taken using Face_taker.py script, and save the training output in the training.yml file.
The Face_Recognizer.py is the main script. You need to change the name of each person who sees his/her picture taken in the Face_taker.py script. The program will recognize the face according to the id given in the same script. Note: If the recognizer could predict a face, we put a text over the image with the probable id and how much is the "probability" in % that the match is correct ("probability" = 100 - confidence index). If not, an "Who are you?" label is put on the face.

Add some data augmentation techniques to increase accuracy and prediction probabiltity