"""

Face Recognition Project

This project implements face recognition using the face_recognition library in Python and OpenCV. The goal is to identify known faces from a set of unknown images using pre-trained facial encodings.

Features

• Identifies faces in images by comparing them with a set of known images.
• Draws bounding boxes around detected faces and labels them with the person's name.
• Uses face_recognition library to compute face encodings and compare them.
• Integrates OpenCV for image processing and displaying results.

Prerequisites

• Python 3.x
• The following Python libraries must be installed:
  • face_recognition
  • opencv-python
  • numpy

You can install the dependencies using:

pip install face_recognition opencv-python numpy
# Project Structure 
├── known/              # Folder containing images of known people
│   ├── elon.jpg        # Example image for Elon Musk
│   ├── bill.jpg        # Example image for Bill Gates
│   └── obama.jpg       # Example image for Barack Obama
├── unknown/            # Folder containing images of unknown people
│   ├── 1.jpg
│   ├── 2.jpg
│   └── 3.jpg
├── face_recognition.py  # Main Python script to run the face recognition
└── README.md           # Project README file