MediaPipe Implementations ML Frameworks

Projects and libraries that implement, extend, or integrate Google's MediaPipe framework for real-time perception tasks (hand tracking, pose estimation, face detection, etc.). Does NOT include general computer vision frameworks, ML model implementations without MediaPipe integration, or non-real-time video processing tools.

There are 10 mediapipe implementations frameworks tracked. 1 score above 70 (verified tier). The highest-rated is google-ai-edge/mediapipe at 70/100 with 34,104 stars. 1 of the top 10 are actively maintained.

Get all 10 projects as JSON

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# Framework Score Tier
1 google-ai-edge/mediapipe

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

70
Verified
2 houmo-ai/mediapipe_plus

The purpose of this project is to apply mediapipe to more AI chips.

44
Emerging
3 vidursatija/BlazePalm

PyTorch & CoreML implementation of MediaPipe Hands

42
Emerging
4 pjbelo/mediapipe-js-demos

Google MediaPipe Javascript Demos (including live demos)

42
Emerging
5 beenotung/mediapipe-nodejs

A Node.js library for running MediaPipe models that are typically...

27
Experimental
6 gokulnpc/Face-Mesh-Detection-Mediapipe

This project utilizes MediaPipe and OpenCV to perform real-time face mesh...

24
Experimental
7 nikhilr612/libmp

A fork of LibMP that allows mediapipe to be added as a dependency for C...

17
Experimental
8 Tony607/webcam-pong

Transfer Learning to play Pong via the Webcam

12
Experimental
9 cagatay-softgineer/MediaPipe

Mediapipe is a Python-based project that leverages the power of MediaPipe,...

11
Experimental
10 JebaMercy14/Air-Canvas

Air Canvas using Deep learning modules and OpenCV

11
Experimental