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A python script which enables mouse control using hand gestures through a webcam. This script uses MediaPipe hand tracking to feed a TensforFlow neural network model to enhance gesture classification.
Hand Landmark is a system for recognizing and tracking key points on the hand using MediaPipe technology, a machine learning and computer vision framework from Google.
A small project I did while learning about Computer Vision. It enables hand gestures to control functions like light bulbs, computer speakers, mice, and fans using Python and Mediapipe. 🖐️💡🔊🖱️🌬️
Este projeto visava criar um sistema de reconhecimento de sinais de Libras em tempo real, utilizando técnicas de aprendizado de máquina e visão computacional. Inicialmente, foi empregada a detecção de mãos com o MediaPipe Hands e a classificação dos sinais com RandomForestClassifier.
Uses simple MLP inference based on Mediapipe hand tracking to recognize hand signs and finger gestures. Translates signs/gestures into mouse/keyboard inputs.