Face Detection using openCV

A web application for real-time face detection using Flask and OpenCV.

Table of Contents

• Introduction
• Installation

Introduction

This web application captures video from your webcam and performs real-time face detection using the OpenCV library. It then displays the video feed with rectangles drawn around detected faces on a web page built with Flask.

Pre-trained-models

This web application uses openCV pre-trained models haarcascade_frontalface_default.xml for face detection and haarcascade_smile.xml for smile detection

Installation

1. Clone the repository:

   git clone https://github.com/Asirwad/Face-Detection-OpenCV.git
   cd Face-Detection-OpenCV
   

2. Create and activate a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate   # On Windows, use `venv\Scripts\activate`
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

4. For CLI version

   python main_CLI.py
   

5. For flask version

   python flask_main.py

   Then goto browser and open:

   http://127.0.0.1:5000/