Real-Time Face Detection and Sketch Generation

Introduction

This is a simple Flask application that streams video from a webcam while performing facial recognition using OpenCV’s Haar Cascade Classifier. The application captures video frames, detects faces, and displays them on a web page in real-time.

Table of Contents

• Getting Started
• Prerequisites
• Installation
• Usage
• Customization

Getting Started

To get started with this facial recognition video streaming app, follow the instructions below.

Prerequisites

Make sure you have the following installed:

• Python 3.x
• Flask
• OpenCV

Installation

1. Clone the repository:

    git clone https://github.com/your-username/FaceDetectionApp.git
   

2. Navigate to the project directory:

    cd FaceDetectionApp
   

3. Install the required dependencies:

    pip install -r requirements.txt
   

Usage

1. Run the Flask application:

    python app.py
   

2. Open your web browser and go to http://localhost:5000/ to access the facial recognition video streaming page.

3. Navigate to the /video_feed route to view the live video stream with facial recognition.

Customization

If you want to customize the application or integrate it with a different camera source, you can modify the following files:

• app.py: Main application file containing the Flask routes.
• camera.py: Module defining the VideoCamera class responsible for capturing video frames and performing facial recognition.

Feel free to explore and adapt the code to meet your specific facial recognition requirements. Feel free to reach out if you have any questions or need further assistance with this facial recognition video streaming app!