Rock-Paper-Scissors Game

A rock-paper-scissor game implementation using hand gestures inferred from webcam input.

Pipeline

Webcam input is implemented using OpenCV videocapture elements.

Hand gestures can be classified by:

• using hand landmarks detections based on MediaPipe
• custom trained CNN image classifier using PyTorch

The output in rendered as OpenCV overlay depicting the webcam image, the selected region-of-interest to classify hand gestures, the selected move of the opponent, i.e., the computer's random choice, and the current scores.

Usage

The controller takes the following arguments:

• camera input, i.e., index of camera
• predictor: Landmark detection or CNN
• ROI to extract images for the predictor within the webcam image

These can be set directly in main.py.

Afterward, the game can be started by running:

python -m main