https://github.com/github2k10/virtual-piano

This project is a demonstration of a virtual piano player, that allows users to play notes of piano using hand gestures captured by a webcam. With real-time piano finger detection and synthesized piano sounds.
https://github.com/github2k10/virtual-piano

opencv-python python virtual-piano

Last synced: 3 days ago
JSON representation

This project is a demonstration of a virtual piano player, that allows users to play notes of piano using hand gestures captured by a webcam. With real-time piano finger detection and synthesized piano sounds.

• Host: GitHub
• URL: https://github.com/github2k10/virtual-piano
• Owner: Github2k10
• Created: 2024-04-27T11:27:29.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-04-27T12:17:11.000Z (7 months ago)
• Last Synced: 2024-04-28T12:28:53.889Z (7 months ago)
• Topics: opencv-python, python, virtual-piano
• Language: Python
• Homepage: https://drive.google.com/file/d/1RuN0tYWuFmL9_Mz5P_NA1JTJIwjGJNXa/view?usp=sharing
• Size: 255 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# Virtual Piano

## Overview

Created Virtual Piano Player, a Python application powered by OpenCV. This project allows users to play a virtual piano using hand gestures captured by a webcam. With real-time piano key detection and synthesized piano sounds, users can enjoy the experience of playing various notes and chords without needing a physical piano.

## Features

- Real-time piano key detection using OpenCV

- Synthesizing piano sounds

- Playing various notes and chords

## Installation

1. Install OpenCV:

    ```

    git clone https://github.com/Github2k10/Virtual-Piano.git

    cd ./Virtual-Piano

    pip install opencv-python mediapipe pyglet

    ```

## Usage

- Run the program using the provided instructions.

  ```

  python main.py

  ```

- Follow the on-screen instructions to interact with the virtual piano using hand gestures captured by your webcam.

## Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.

2. Create a new branch.

3. Make your changes.

4. Test your changes.

5. Submit a pull request.