🎭 Face Detection Application

👀 Overview

The Face Detection Application is a simple yet powerful tool that utilizes OpenCV to detect faces in real-time using your webcam. This project demonstrates the capabilities of computer vision and machine learning in a user-friendly manner. Whether you're a beginner looking to learn about face detection or a developer seeking to integrate face detection into your applications, this project is for you! 🚀

📋 Table of Contents

• Features
• Prerequisites
• Installation
• How to Use
• Code Explanation
• Contributing
• License
• Acknowledgments

🌟 Features

• 👤 Real-time face detection using the Haar Cascade Alt file.
• 📷 Works seamlessly with your webcam.
• 🖥️ Simple and clean interface for easy interaction.
• 🔧 Easy setup with minimal dependencies.
• 📜 Detailed logging to assist in debugging and error tracking.

✅ Prerequisites

Before starting, make sure you have the following requirements:

• Python 3.x 🐍
• OpenCV library 📦

🛠️ Installation

1. Clone the Repository:

   git clone https://github.com/yourusername/face-detection-app.git
   cd face-detection-app
   

2. Install OpenCV: You can install OpenCV using pip:

   pip install opencv-python
   

🚀 How to Use

1. Run the Application: Open your terminal or command prompt, navigate to the project directory, and use the following command:

   python face_detection.py

• NOTE: If you are using a webcam, please make sure your webcam is connected and properly set up. 📷

2. View the Output: The application will launch a window showing the video stream from your webcam. Detected faces will be highlighted with rectangles. 🔍

3. Exit the Application: Press the ESC key to close the application window. ❌

📝 Code Explanation

• Haar Cascade Alt File: A pre-trained file used to identify face-like patterns in real-time video streams.
• FaceDetector Class: Handles the initialization of the Haar Cascade classifier and webcam video feed.
• capture_video Method: Captures video frames, detects faces using the classifier, and displays the output.
• Logging: The application uses logging to provide feedback, error messages, and debug information.

🤝 Contributing

Contributions are welcome! If you have ideas for improving the project or adding new features, feel free to fork the repository and submit a pull request.

📄 License

This project is licensed under the MIT License. For more information, see the LICENSE file.

🙏 Acknowledgments

• OpenCV for the powerful computer vision library.
• Haar Cascade Classifier for face detection.