Cross-platform, customizable ML solutions for live and streaming media.

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

Web Augmented Reality. Image Tracking, Face Tracking. Tensorflow.js

JS Expert Week 7.0 - 🙅🤏🏻 Controlling Streaming Platforms using Eye and Hand Detection 👁🖐

🏆 WebRTC - SFU - Simple, Secure, Scalable Real-Time Video Conferences Up to 8k, compatible with all browsers and platforms.

Unity plugin to run MediaPipe

A full-body keyboard using gestures to type through computer vision

Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

GPU Accelerated MediaPipe Plugin for TouchDesigner

This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.

XR Animator, AI-based Full Body Motion Capture and Extended Reality (XR) solution, powered by System Animator Online

realtime motion tracking in blender using mediapipe and rigify

TensorFlow Lite Samples on Unity

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

Real-time portrait segmentation for mobile devices

Lazyeat 吃饭时看剧/刷网页不想沾油手？ 对着摄像头比划手势就能暂停视频/全屏/切换视频！Lazyeat is a touch-free controller for use while eating! Don't want greasy hands while watching shows or browsing the web during meals? You can pause videos/full screen/switch videos just by gesturing to the camera!

MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。（Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points.）

This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points. Handpose is estimated using MediaPipe.

Virtually controlling computer using hand-gestures and voice commands. Using MediaPipe, OpenCV Python.