✌️ Detection and tracking hand from FPV: benchmarks and challenges on rehabilitation exercises dataset
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Updated
Jun 28, 2024 - Python
✌️ Detection and tracking hand from FPV: benchmarks and challenges on rehabilitation exercises dataset
Hand Gesture Media Player Controler with OpenCV
Ultraleap SDK for Unity.
Biomedical Engineering Bachelor's Thesis using OpenCV and Mediapipe libraries, combined with LX16A servomotors.
This python module allows you to play/pause media using hand gestures detected via a webcam.
WebAR.rocks hand detection and tracking
An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.
Real-time hand detection project using MediaPipe and OpenCV in Python, providing accurate tracking and visualization of hand landmarks for interactive applications.
A hand tracker sample prototype with cvzone and OpenCV-python
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.
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.
Hand tracking using python. Data utilized in unity
A differentiable 3D renderer with Pytorch, Tensorflow and Matlab interfaces
Immersive VR web browser for Meta Quest using hand gestures or controllers.
MediaPipe for VL
TouchFree Web Tooling empowers developers to build touchless Web applications using Ultraleap's hand tracking technology
用の革新的なニューラルネットワークで、ユーザーの周囲の空間を正確にスキャン・分析します。 このシステムには、手、足、顔のスキャン機能があり、様々なネットワークプロジェクトへの統合に最適です。
This project utilizes OpenCV and Mediapipe to create an air canvas, detect faces, and calculate the screen-to-hand distance.
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D hand-object training data.
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