Rock ✊ Paper 🖐️ Scissors ✌️

Multiplayer Rock Paper Scissors Game using Computer Vision and WebRTC.

• Rock ✊ Paper 🖐️ Scissors ✌️
  • Play the Game
  • Model Training
    • Requirements
    • Steps

Play the Game

1. Visit rps-21b02a.gitlab.io to play
2. Click Share & Share the copied URL with your friends
3. The other Player must visit the URL you Shared and click Join
4. You can start Playing by showing rock-paper-scissors on the Camera.

Model Training

Requirements

1. Python Version: 3.9
2. mediapipe-model-maker

pip install mediapipe-model-maker

3. rock paper scissors dataset

wget https://storage.googleapis.com/mediapipe-tasks/gesture_recognizer/rps_data_sample.zip
unzip rps_data_sample.zip

Steps

1. Train the model locally

python train.py

2. Copy the trained model to the public/ directory

cp exported_model/gesture_recognizer.task public/

3. Test the model on the browser

yarn && yarn dev

Open http://localhost:5173.