https://github.com/arshitarora/real-time-hand-recognition

https://github.com/arshitarora/real-time-hand-recognition

Last synced: 24 days ago
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• Host: GitHub
• URL: https://github.com/arshitarora/real-time-hand-recognition
• Owner: ArshitArora
• Created: 2023-08-02T08:40:11.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-02T08:43:57.000Z (over 1 year ago)
• Last Synced: 2024-09-18T10:49:17.023Z (4 months ago)
• Language: Python
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Hand Gesture Control using Python 🖐️👋

This Python program utilizes computer vision and keyboard control to interpret hand gestures and perform corresponding actions. It uses the `cv2` library for image processing, the `cvzone` module for hand tracking, and the `pynput` library for keyboard control.

## Requirements 🛠️

- Python 3.x

- OpenCV (`cv2`)

- cvzone (`HandTrackingModule`)

- pynput

## Usage 🚀

1. Install the required libraries:

   ```bash

   pip install opencv-python pynput

   pip install cvzone

   

## How it works 🤔

The program captures video input from the default camera, tracks hand gestures using the HandDetector from cvzone, and maps these gestures to keyboard commands using the pynput library.

✋ If all fingers are closed, the program simulates pressing the Left Arrow key to move left.

🖐️ If all fingers are open, the program simulates pressing the Right Arrow key to move right.

## Customization 🎨

You can customize the gesture-to-action mapping by modifying the fingers list based on your preference.

## Acknowledgments 🙌

This project was created with the help of the cvzone and pynput libraries.