Computer Vision Rock Paper Scissors

Technologies Used

• Python: Main programming language.
• NumPy: For numerical operations on arrays and matrices.
• OpenCV (cv2): For capturing video frames from the webcam and processing images.
• Keras: For loading and utilizing the pre-trained machine learning model.
• Keyboard: To capture keyboard inputs during gameplay.

Features

• Real-time Gesture Recognition: The application captures video from the webcam and uses a trained model to recognize hand gestures.
• Gesture Classification: Classifies gestures into Rock, Paper, or Scissors, with an additional 'false reading' category.
• Gameplay Logic: Includes a class to manage game state, tally wins and losses, and determine game outcomes.

Repository Structure

├── camera_rps.py # Main script with game logic and computer vision processing
├── keras_model.h5 # Pre-trained model file
├── labels.txt

Getting Started

Prerequisites

• Python 3.x
• NumPy, OpenCV (cv2), Keras, Keyboard

Installation

git clone https://github.com/freestyleabg/computer-vision-rock-paper-scissors.git
cd computer-vision-rock-paper-scissors

pip install -r requirements.txt

Usage

Run python camera_rps.py to start the game. Follow on-screen instructions for gameplay.