The app for the bachelor's thesis topic - "Real-time computer vision solution for Latvian sign language recognition".
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Updated
May 24, 2024 - Python
The app for the bachelor's thesis topic - "Real-time computer vision solution for Latvian sign language recognition".
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.
Thesis
A game of rock, paper, scissors using computer vision created as a school project.
A prototype created for a project on the topic "Computer Vision".
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.
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.
An illustrator app using hand pose detection from TensorFlow
Uses simple MLP inference based on Mediapipe hand tracking to recognize hand signs and finger gestures. Translates signs/gestures into mouse/keyboard inputs.
Gesture Recognition with Google MediaPipe in ROS
A Live hand sign recognition program, based on the HaGRID dataset, accuracy: 91.21%
👍 Hand Gesture Recognition And Cross-Platform API Built With Mediapipe.
Bachelor project in computer science at Adam Mickiewicz University in Poznań
A hand tracker built with opencv-python and midiapipe in python
Project intented to control PC volume using Computer Vision and Python
opencv mouse control using hand gestures
🤖[intel] Edge AI S/W academy project #2 - Motion tracking mouse & Speech recognition keyboard
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