https://github.com/jakub-nowicki/rock-paper-scissors

✊✋✌️ Play Rock-Paper-Scissors using hand gestures recognized by OpenCV and MediaPipe.
https://github.com/jakub-nowicki/rock-paper-scissors

game machine-learning mediapipe opencv python

Last synced: 16 days ago
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✊✋✌️ Play Rock-Paper-Scissors using hand gestures recognized by OpenCV and MediaPipe.

• Host: GitHub
• URL: https://github.com/jakub-nowicki/rock-paper-scissors
• Owner: Jakub-Nowicki
• Created: 2024-10-30T16:05:27.000Z (18 days ago)
• Default Branch: main
• Last Pushed: 2024-10-30T16:16:57.000Z (18 days ago)
• Last Synced: 2024-10-30T17:26:23.646Z (17 days ago)
• Topics: game, machine-learning, mediapipe, opencv, python
• Language: Python
• Homepage:
• Size: 5.86 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Rock-Paper-Scissors Hand Gesture Game

## Overview

This project is a Rock-Paper-Scissors game that utilizes computer vision techniques to interpret hand gestures as game moves. Built using OpenCV and a custom hand tracking module, the application can determine the outcome of the game played with hand gestures captured via webcam.

## Features

- **Hand Gesture Recognition**: Uses OpenCV and the MediaPipe library to recognize hand gestures in real-time.

- **Game Logic Implementation**: Determines the winner of Rock-Paper-Scissors based on the recognized gestures.

- **Real-time Interaction**: Players can see the game result instantly on the screen after their gestures are recognized.

## Technologies Used

- **Python**: The core programming language used.

- **OpenCV (cv2)**: For image processing and capturing video input from a webcam.

- **MediaPipe**: Used for robust hand tracking and gesture recognition.

## Installation

To run this application, you will need Python installed along with OpenCV and MediaPipe. Follow these steps to set up:

1. **Install Python**:

   Ensure Python is installed on your system. You can download it from [python.org](https://www.python.org).

2. **Install Required Libraries**:

   Install OpenCV and MediaPipe using pip:

   ```bash

   pip install opencv-python mediapipe

   

3. **Running the Application**

After installing the necessary libraries, you can run the application by executing the main Python script. Make sure your webcam is connected and permitted to be used by Python scripts.

   ```bash

   python game_rock_paper_scissors.py

## Usage

- **Start the Game**: Run the script and position your hands within the webcam's field of view.

- **Make Your Gesture**: Use rock, paper, or scissors gestures. The system will recognize these gestures and display the corresponding move on the screen.

- **Game Results**: After both players have made their moves, the game will determine and display the winner on the screen.

## Contributing

Contributions are welcome, and here are some ways you can help improve the project:

- **Enhance Gesture Recognition**: Improve the accuracy and efficiency of the hand tracking and gesture recognition.

- **Add Features**: Introduce new functionalities like score tracking or support for multiple rounds.

- **Improve Documentation**: Help make the project more accessible to new users by enhancing the existing documentation.

To contribute, fork the repository, make your changes, and submit a pull request.