rps_tfjs_demo and rock-paper-scissors
These are competitors—both implement gesture-recognized Rock Paper Scissors games using TensorFlow.js, with the main difference being that one focuses on training the model interactively in-browser while the other uses a pre-built hand pose detection library (FingerPose) for inference.
About rps_tfjs_demo
GantMan/rps_tfjs_demo
Training a Rock Paper Scissors model in the browser via TFJS - Learn along style
This tool helps developers learn how to train a machine learning model directly in a web browser. You input images of 'rock, paper, scissors' gestures, and the output is a trained model that can classify these gestures. This is ideal for web developers interested in integrating machine learning capabilities into their browser-based applications.
About rock-paper-scissors
andypotato/rock-paper-scissors
Rock, Paper, Scissors game implemented with TensorFlow.js and FingerPose
This project lets you play the classic game of Rock, Paper, Scissors using just your hand gestures, detected by your webcam. It takes your hand movements as input and outputs the result of the game against the computer. Anyone looking for a fun, interactive way to play a simple game without needing physical contact or controllers would enjoy this.
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