Cross-platform, customizable ML solutions for live and streaming media.
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Updated
Mar 17, 2023 - C++
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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.
JS Expert Week 7.0 -
Faking your webcam background under GNU/Linux, now supports background blurring, animated background, colour map effect, hologram effect and on-demand processing.
Web Augmented Reality. Image Tracking, Face Tracking. Tensorflow.js
An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.
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.
TensorFlow Lite Samples on Unity
realtime motion tracking in blender using mediapipe and rigify
Real-time portrait segmentation for mobile devices
Add filters (background blur, etc) to your webcam on Linux.
用于展示各种信息的桌面小组件
Demo on adding virtual background to a live video stream in the browser
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.)
Running Google Mediapipe Hand Tracking models on Luxonis DepthAI hardware (OAK-D-lite, OAK-D, OAK-1,...)
An Implementation of VTuber (Both 3D and Live2D) using Python and Unity. Providing face movement tracking, eye blinking detection, iris detection and tracking and mouth movement tracking using CPU only.
Connecting openFrameworks to Google MediaPipe Machine Learning Framework over UDP
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