Live YouTube processing in client-side JS using self screen capture
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Updated
Jun 9, 2024 - JavaScript
Live YouTube processing in client-side JS using self screen capture
ROS package for moving robot tool to specific place, hand detection and hand tracking.
Mediapipe is a Python-based project that leverages the power of MediaPipe, OpenCV, and WebSockets to perform real-time video processing and hand tracking. This project is designed to process video frames, detect hand landmarks, classify hand types, and broadcast data using WebSockets for further processing or display.
✨👁️ Computer vision libraries, tailor built for NVIDIA jetson platforms! With docker images!
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.
👋 Welcome to the Gesture Volume App Repository!
👋 Welcome to the Face Detection App Repository!
👋 Welcome to the Finger Counting App Repository!
Deep Learning and Neural Network based Sign Sense or 'Sign Language' to Speech converter is an desktop app which can detect hand signs in a frame and can convert them to Speech, according to their respective meaning. Opposite to this, it can also recognise your voice and can convert it to sign language.
Cross-platform, customizable ML solutions for live and streaming media.
🎷 1st Place for HackNotts84. Intuitive, Retro, Gesture Based, Rhythm game using Python3, GMS2, OpenCV & MediaPipe. Feel free to download and play!
Welcome to InterviewX, your ultimate interview companion powered by AI. With features like scam detection, resume optimization, real-time posture analysis, time-saving text summarization, and ice breaker insights, InterviewX equips you with everything you need to ace your next interview with confidence and ease.
Use your camera to control the mouse from a distance
GestureX is an OpenCV-based hand motion sensing system for intuitive, efficient user control.This project aims to investigate the potential of creating a vision-based gesture recognition system using OpenCV to accurately and efficiently recognize hand gestures for computer control.
This is a project for my Ppit module in my 3rd year of university - It's a piece of software that uses computer vision to analyse the drivers alertness in a vehicle - in the case where it notices the driver occur in multiple defined validations - it will lock the vehicle from starting once parked / alert authorities.
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