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Computer Vision Project

A project for gesture recognition using Mediapipe, OpenCV, and neural networks. This repository includes scripts for live video hand gesture recognition and tools for training a model on custom gestures.


Features

  • Live Gesture Recognition: Use mediapipeLive.py for real-time hand gesture detection.
  • Custom Gesture Training: Train a neural network on labeled landmarks using Mediapipe.

How to Run Live Gesture Recognition

  1. Clone this repository and navigate to its directory:
    git clone <repository_url>
    cd Computer-Vision-Project
  2. Ensure all dependencies are installed. You may use pip to install required libraries:
    pip install -r requirements.txt
    
  3. run mediapipeLive.py
    python3 mediapipeLive.py

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