- Python 2.x
- OpenCV 3.x
- Pillow Python Library
- Go folder face_detection:- and run
- $ python face_detect.py a1.jpg haarcascade_frontalface_default.xml
- $ python live.py haarcascade_frontalface_default.xml
- run the dataSetGenerator.py and enter a unique id to create face samples with your face
- run trainer.py for trained dataset
- run detector.py for recognition of face
- Go folder back_propagation_neural_network
- $ python nu1.py