This repository contains a real-time Hand Gesture Recognizer using the MediaPipe framework and Tensorflow in OpenCV and Python. This project utilizes a live web came to capture/tracks hand signs live and utilizes a pretrained model to project a label on the live footage.
We’ll first use MediaPipe to recognize the hand and the hand key points. MediaPipe performs the hand recognition algorithmreturns a total of 21 key points for each detected hand.
Instructions: Run HG_Detection.py
