Facial Recognition Project

This repository contains a Python script for performing facial recognition using OpenCV and face_recognition libraries. The script detects faces in a live video stream from a webcam or in images, encodes the faces, and compares them against a database of known faces to identify them.

The code is divided into two files:

• attendance.py: contains the main script for facial recognition using the webcam.
• basic.py: contains a basic test of the face_recognition library with two images.

Dependencies:

• Python 3.6+
• OpenCV 4.0+
• CMake 3.2+
• Numpy 1.16+
• face_recognition 1.3+

Installation:

1. Clone this repository:

   git clone https://github.com/oskccy/face_recognition_webcam
   

2. Install the required dependencies using pip:

   pip install cmake opencv-python numpy face_recognition
   

Usage:

1. To run the main script, navigate to the project directory and run the following command:

   python attendance.py
   

(The script will capture frames from the webcam and display them in a window. Any detected faces will be identified with a name label, if it matches any of the known faces in the "imagesAttendance" directory.)

2. To test the face recognition functionality using two images, run:

   python basic.py
   

The script will compare the faces in the two images and print out whether they match or not, along with a confidence score.

Contributing:

If you would like to contribute to this project, please submit a pull request with your changes. I welcome all contributions, including bug fixes and feature enhancements.

License:

• This project is licensed under the MIT License. See the LICENSE file for more details.