The collection of pre-trained, state-of-the-art AI models for ailia SDK

ROS Package for Motion Capture

Dr StrangeHandFx uses OpenCV and MediaPipe to detect hands and overlay a mystical Dr. Strange-inspired shield. The shield follows hand movements and transitions into a particle effect when the hand is lowered, creating a magical visual experience. Customizable and ideal for real-time hand tracking and augmented reality applications.

✌️ Detection and tracking hand from FPV: benchmarks and challenges on rehabilitation exercises dataset

This project is a virtual painting application that permits users to draw and paint directly onto the live camera stream. It has been developed using Python, OpenCV, and MediaPipe.

Developing a pipeline for Hand Gesture Recognition

The GitHub repository "Hand-Detection" by JimmyVS provides a Python project for real-time hand detection using MediaPipe. It features capabilities for detecting single or multiple hands, visualizing hand landmarks, recognizing finger gestures, and calculating distances between fingertips.

Real-time hand detection project using MediaPipe and OpenCV in Python, providing accurate tracking and visualization of hand landmarks for interactive applications.

Control volume and brightness effortlessly with hand gestures. Our machine learning technology interprets your movements, letting you adjust settings with a simple wave or swipe. Say goodbye to remotes and hello to intuitive control.

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. 🖐️💡🔊🖱️🌬️

👐 HandTrackingProject is a Python script for hand tracking using MediaPipe and OpenCV. It enables real-time hand detection and tracking in a webcam feed, providing visualizations of hand landmarks and connections.

OpenCV projects like Face Recognition, Item Detection, Hand Tracking, Body Detection, Color Detection and more.

Hand and Face Detection for Sign Language

Detectors World... See the World Through Code. Build Computer Vision applications in easy and handy way.

Detección de manos y medición de la distancia entre los dedos utilizando Python y Mediapipe.

Estimate 2D Hand Pose from RGB image by top-down method using Stacked Hourglass Network and Hand Detector module - SSD (single-shot detector)

Detects Gestures using Keras Model

This project is a computer vision project that enables intuitive control of applications using hand movements and etc., offering immersive and interactive human-computer interaction in various domains.