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MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

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MediaPipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

ML Solutions in MediaPipe

face_detection face_mesh hand_tracking multi-hand_tracking hair_segmentation object_detection object_tracking objectron_shoes objectron_chair template_matching

Installation

Follow these instructions.

Getting started

See mobile, desktop, web and Google Coral examples.

Documentation

MediaPipe Read-the-Docs or docs.mediapipe.dev

Check out the Examples page for tutorials on how to use MediaPipe. Concepts page for basic definitions

Visualizing MediaPipe graphs

A web-based visualizer is hosted on viz.mediapipe.dev. Please also see instructions here.

Google Open Source Code search

Search MediaPipe Github repository using Google Open Source code search

Videos

Publications

Events

Community

Alpha Disclaimer

MediaPipe is currently in alpha for v0.7. We are still making breaking API changes and expect to get to stable API by v1.0.

Contributing

We welcome contributions. Please follow these guidelines.

We use GitHub issues for tracking requests and bugs. Please post questions to the MediaPipe Stack Overflow with a 'mediapipe' tag.

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MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

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