Face Recognition using Haar-Cascade Classifier, OpenCV, and Python

Simple Face Recognition algorithm using Python and OpenCV

Requirements

• Python 3.5+
• OpenCV 3.1.0
• Numpy

Outline

This project consist of 3 parts, which are:

1. Creating datasets (face_datasets.py)
2. Train the model (training.py)
3. Face Recognition (face_recognition.py)

How to run ?

1. Make sure have executable permission. (chmod 777 .)
2. Remove the post-it note from your webcam.

Add a person

1. Run python face_datasets.py to add images. Two directories 'datasets' and 'trainer' will be created in the project directory. 'dataset' should populate with the images.
2. Train your datasets by running python training.py.
3. Lastly, run python face_recognition.py

Add additional people

1. Change the variable "face_id = 1" to "face_id = 2" in (face_datasets.py: line 23) and re-run python face_datasets.py
2. python training.py
3. python face_recognition.py
4. You can change the 'Id' to match user's name (face_recognition: line 62):
   ex). if (Id == 1): Id = "User1" to if (Id == 1): Id = "Bill"

TroubleShooting

if you get an error try:

• pip install opencv-contrib-python

• pip install opencv-python

• Depending on how python is configured on your machine, you may need to use python3 and pip3 instead of python and pip when running the scripts

Credit to:

Anirban from TheCodacus. Link: http://thecodacus.com/ All rights reserved to the respective owner