Popular GitHub Repositories for Mediapipe

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

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

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.

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!

TensorFlow Lite Samples on Unity

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

Real-time portrait segmentation for mobile devices

Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques

Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.

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

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.

A vision-based drawing application

BlazePoseBarracuda is a human 2D/3D pose estimation neural network that runs the Mediapipe Pose (BlazePose) pipeline on the Unity Barracuda with GPU.

Use Python, OpenCV, and MediaPipe to control a keyboard with facial gestures

HolisticMotionCapture is an application and package that can capture the motion of a person with only a monocular color camera and move the VRM avatar's pose, face, and hands.

Face and iris detection for Python based on MediaPipe

A high performance, high expansion, easy to use framework for AI application. 为AI应用的开发者提供一套统一的高性能、易用的编程框架，快速基于AI全栈服务、开发跨端边云的AI行业应用，支持GPU，NPU加速。

本项目计划用于2024成都理工大学CDUT人工智能协会技术培训使用