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Gesture Detection Project

Table of Contents

Introduction

Welcome to the Gesture Detection project! This project aims to detect and recognize gestures using computer vision and machine learning techniques. Gestures can be used for various applications, such as sign language recognition, human-computer interaction, and more.

The project provides a framework for capturing live video feed from a camera, processing the frames to detect gestures, and providing real-time feedback or recognition results.

Demo GIF

Features

  • Real-time gesture detection and recognition.
  • Supports various gesture types.
  • Easy-to-use interface for capturing and processing video.
  • Pre-trained models for quick start.
  • Customizable for specific gesture recognition tasks.

Getting Started

Prerequisites

Before you begin, ensure you have met the following requirements:

  • Python 3.x
  • OpenCV
  • TensorFlow/Keras (for machine learning models)
  • Additional dependencies (list them here)

Installation

  1. Clone this repository:

    git clone https://github.com/alriyadsouza/gesture-detection
cd gesture-detection

Install the required dependencies:

pip install -r requirements.txt