Rock-Paper-Vision

Welcome to Rock-Paper-Vision, a computer vision-based implementation of the classic Rock-Paper-Scissors game. This project uses OpenCV and CvZone's Hand Tracking Module to recognize hand gestures, enabling players to compete against an AI in real time.

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ScreenShots

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Features

• Real-time hand tracking: Detects gestures using your webcam.
• AI opponent: AI makes random moves for competitive gameplay.
• Interactive UI: Displays live scores and visual feedback with a custom background.
• Hand gestures supported:
  • Rock: All fingers folded.
  • Paper: All fingers open.
  • Scissors: Only index and middle fingers open.

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How It Works

1. Hand Tracking:
   • Uses cvzone.HandTrackingModule for detecting and interpreting hand gestures.
2. Gameplay:
   • Recognizes the player's gesture.
   • Generates a random AI move.
   • Compares gestures to determine the winner based on traditional rules:
     • Rock beats Scissors.
     • Scissors beats Paper.
     • Paper beats Rock.
3. Scoring:
   • Updates and displays the score for both player and AI in real time.
   • Visual feedback enhances the game experience.

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Installation and Setup

Requirements

• Python 3.8 or higher
• Libraries (install via pip):

  pip install opencv-python cvzone

Steps

Clone This Repository

  git clone https://github.com/cyberfantics/Rock-Paper-Vision.git
  cd Rock-Paper-Vision

Run File Using

python main.py

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Controls

• Play: Press P to start the game.
• Quit: Press Q to exit the game.
• Restart: Press R to restart the game.
• Record Game: Press S to record the Game.
• Open Camera: Press C to Open Camera.
• Record Game: Press I to See Instructions Of Game.

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Video Demo

Check out the gameplay video on YouTube:

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Author

Syed Mansoor ul Hassan Bukhari
GitHub | LinkedIn

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Enjoy the game! 🎮