https://github.com/asirwad/face-detection-opencv

🤖Face and Smile Detection using openCV using haarcascade_frontalface_default.xml and haarcascade_smile.xml pretrained models😁
https://github.com/asirwad/face-detection-opencv

compu flask-application mach opencv

Last synced: about 2 months ago
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🤖Face and Smile Detection using openCV using haarcascade_frontalface_default.xml and haarcascade_smile.xml pretrained models😁

• Host: GitHub
• URL: https://github.com/asirwad/face-detection-opencv
• Owner: Asirwad
• Created: 2023-07-22T14:19:46.000Z (almost 3 years ago)
• Default Branch: master
• Last Pushed: 2023-07-25T04:38:15.000Z (almost 3 years ago)
• Last Synced: 2025-01-21T06:13:26.785Z (over 1 year ago)
• Topics: compu, flask-application, mach, opencv
• Language: Python
• Homepage:
• Size: 177 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
Face Detection using openCV


![Python](https://img.shields.io/badge/Python-3.7%20%7C%203.8%20%7C%203.9-blue?logo=python&logoColor=white)

![Flask](https://img.shields.io/badge/Flask-1.1.2-green?logo=flask&logoColor=white)

![OpenCV](https://img.shields.io/badge/OpenCV-4.5.2.54-red?logo=opencv&logoColor=white)

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

## Table of Contents

- [Introduction](#introduction)

- [Installation](#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](https://github.com/opencv/opencv/blob/master/data/haarcascades/haarcascade_frontalface_default.xml) for face detection and [haarcascade_smile.xml](https://github.com/opencv/opencv/blob/master/data/haarcascades/haarcascade_smile.xml) for smile detection

## Installation

1. Clone the repository:

   ```bash

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

   cd Face-Detection-OpenCV

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

    ```bash

    python -m venv venv

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

    

3. Install the required dependencies:

    ```bash

    pip install -r requirements.txt

    

4. For CLI version

   ```bash

   python main_CLI.py

5. For flask version

   ```bash

   python flask_main.py

   ```

   Then goto browser and open:

   ```bash

   http://127.0.0.1:5000/