Face Detection Project with OpenCV

This project implements a simple face detection system using the OpenCV (cv2) library in Python. It uses two model files for face detection.

Features :

Real-time Face Detection: Detect faces in live video streams.

Image Processing: Analyze and detect faces in static images.

High Accuracy: Utilizes robust models to ensure high detection accuracy.

Scalable: Easy to extend and integrate with other projects.

User-Friendly: Simple and clear code structure for easy understanding and modification.

Prerequisites:

Before you begin, ensure you have met the following requirements:

Python 3.6 or higher

Libraries listed in `requirements.txt`

Installation :

Follow these steps to set up the project on your local machine:

1.Clone the repository:

git clone https://github.com/username/face-detection-project.git
cd face-detection-project

2.Create and activate a virtual environment:

python3 -m venv venv
source venv/bin/activate   # On Windows: venv\Scripts\activate

3.Install the required libraries:

pip install -r requirements.txt

Usage :

1.Place the model files in the `models/` directory.

2.Run the main script:

python face.py

Follow the on-screen instructions to start detecting faces.

Thanks to the project developer Miss Aram Ghodarzi