Real-time Face and Eye Detection

This repository contains a Python script that uses OpenCV to perform real-time face and eye detection in video captured from the default camera. It applies Haar cascades for face and eye detection, drawing rectangles around the detected features.

Prerequisites

Before running the script, make sure you have the following dependencies installed:

• Python 3.x
• OpenCV
• haarcascade_frontalface_default.xml (Haar cascade file for face detection)
• haarcascade_eye.xml (Haar cascade file for eye detection)

Usage

1. Clone the repository:

git clone https://github.com/your-username/real-time-face-and-eye-detection.git

2. Navigate to the project directory:

cd real-time-face-and-eye-detection

3. Run the script:

python face_eye_detect.py

4. The script will open a window displaying the real-time video feed from the default camera. It will draw rectangles around the detected faces and eyes. To exit, press the letter 'q'

References

• Haar Cascade xml files: https://github.com/kipr/opencv/tree/master/data/haarcascades