dvtushar / eyes_mouth_detection

this detects mouths and eyes in FFHQ image it uses open cv and python

Eyes and Mouth Detection using OpenCV

This project utilizes Python, OpenCV, and Jupyter Notebook to detect eyes and mouth in images and videos. It can be used for various applications, including facial expression analysis, biometric authentication, and more.

Features

• Detects eyes and mouth in FFHQ images.
• Simple and easy-to-understand Jupyter Notebook for educational purposes.
• Customizable for different use cases and applications.
• Built using the powerful OpenCV library for computer vision tasks.

Table of Contents

• Getting Started
  • Prerequisites
  • Installation

Getting Started

Prerequisites

• Python 3.7 or higher
• Jupyter Notebook
• OpenCV 4.5 or higher
• Webcam (for real-time video processing)

Installation

1. Clone the repository:

   git clone https://github.com/dvtushar/eyes_mouth_detection.git
   cd eyes_mouth_detection
   

Usage

Open the Jupyter Notebook and follow the provided code and explanations to perform eyes and mouth detection on images or real-time video streams. Customize the parameters, such as cascade classifiers, to adapt the detection for your specific requirements. Experiment with different datasets and sources to test the accuracy and performance of the detection.

Contributing

Contributions to this project are welcome. If you want to contribute, please follow these guidelines:

• Fork the repository.
• Create a new branch for your feature or bug fix.
• Make your changes and commit them.
• Submit a pull request with a clear description of your changes.
• Ensure your code follows PEP 8 coding style guidelines.
• We will review your pull request and provide feedback.