There are 25 repositories under mediapipe topic.
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 - 🙅🤏🏻 Controlling Streaming Platforms using Eye and Hand Detection 👁🖐
Web Augmented Reality. Image Tracking, Face Tracking. Tensorflow.js
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.
realtime motion tracking in blender using mediapipe and rigify
TensorFlow Lite Samples on Unity
XR Animator, AI-based Full Body Motion Capture and Extended Reality (XR) solution, powered by System Animator Online
Real-time portrait segmentation for mobile devices
Add filters (background blur, etc) to your webcam on Linux.
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.)
GPU Accelerated MediaPipe Plugin for TouchDesigner
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.
Demo on adding virtual background to a live video stream in the browser
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.
Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques
Virtually controlling computer using hand-gestures and voice commands. Using MediaPipe, OpenCV Python.
Running Google Mediapipe Hand Tracking models on Luxonis DepthAI hardware (OAK-D-lite, OAK-D, OAK-1,...)
这是一个 Flutter Packge 以实现摄像头精确追踪并识别十指的运动路径/轨迹和手势动作, 且输出22个手部关键点以支持更多手势自定义. 基于这个包可以编写业务逻辑将手势信息实时转化为指令信息: 一二三四五, rock, spiderman...还可以对不同手势编写不同特效. 可用于短视频直播特效, 智能硬件等领域, 为人机互动带来更自然丰富的体验
Connecting openFrameworks to Google MediaPipe Machine Learning Framework over UDP
MediaPipeで姿勢推定を行い、Tokyo2020オリンピック風のピクトグラムを表示するデモ
TFJS based finger pose classifier for hand landmarks detected by the MediaPipe Handpose Detection model
UE4 MediaPipe plugin
MediaPipeのPythonパッケージのサンプルです。2021/12/14時点でPython実装のある7機能(Hands、Pose、Face Mesh、Holistic、Face Detection、Objectron、Selfie Segmentation)について用意しています。
Realtime hand tracking and finger tracking in Unity using Mediapipe
Control DJI Tello 🛸 using hand gesture recognition on drone`s camera video-stream. Feel free to contribute!
Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
High performance, cross-platform machine learning for Unity Engine. Register at https://hub.natml.ai
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.