mediapipe

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

google
16021
3287
C++

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Attention: We have moved to
https://developers.google.com/mediapipe
as the primary developer documentation site for MediaPipe as of April 3, 2023.

MediaPipe

Attention: MediaPipe Solutions Preview is an early release. Learn
more.

On-device machine learning for everyone

Delight your customers with innovative machine learning features. MediaPipe
contains everything that you need to customize and deploy to mobile (Android,
iOS), web, desktop, edge devices, and IoT, effortlessly.

Get started

You can get started with MediaPipe Solutions by by checking out any of the
developer guides for
vision,
text,
and
audio
tasks. If you need help setting up a development environment for use with
MediaPipe Tasks, check out the setup guides for
Android, web
apps, and
Python.

Solutions

MediaPipe Solutions provides a suite of libraries and tools for you to quickly
apply artificial intelligence (AI) and machine learning (ML) techniques in your
applications. You can plug these solutions into your applications immediately,
customize them to your needs, and use them across multiple development
platforms. MediaPipe Solutions is part of the MediaPipe open source
project, so you can further customize the
solutions code to meet your application needs.

These libraries and resources provide the core functionality for each MediaPipe
Solution:

  • MediaPipe Tasks: Cross-platform APIs and libraries for deploying
    solutions. Learn
    more    .
  • MediaPipe models: Pre-trained, ready-to-run models for use with each
    solution.

These tools let you customize and evaluate solutions:

  • MediaPipe Model Maker: Customize models for solutions with your data.
    Learn more.
  • MediaPipe Studio: Visualize, evaluate, and benchmark solutions in your
    browser. Learn
    more    .

Legacy solutions

We have ended support for these MediaPipe Legacy Solutions
as of March 1, 2023. All other MediaPipe Legacy Solutions will be upgraded to
a new MediaPipe Solution. See the Solutions guide
for details. The code repository
and prebuilt binaries for all MediaPipe Legacy Solutions will continue to be
provided on an as-is basis.

For more on the legacy solutions, see the documentation.

Framework

To start using MediaPipe Framework, install MediaPipe
Framework
and start building example applications in C++, Android, and iOS.

MediaPipe Framework is the
low-level component used to build efficient on-device machine learning
pipelines, similar to the premade MediaPipe Solutions.

Before using MediaPipe Framework, familiarize yourself with the following key
Framework
concepts:

Community

  • Slack community for MediaPipe
    users.
  • Discuss - General
    community discussion around MediaPipe.
  • Awesome MediaPipe - A
    curated list of awesome MediaPipe related frameworks, libraries and
    software.

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.

Resources

Publications

Videos