layout | title | nav_order |
---|---|---|
default |
Home |
1 |
Live ML anywhere
MediaPipe offers cross-platform, customizable
ML solutions for live and streaming media.
ML solutions in MediaPipe
See also
MediaPipe Models and Model Cards
for ML models released in MediaPipe.
Getting started
To start using MediaPipe
solutions with only a few
lines code, see example code and demos in
MediaPipe in Python and
MediaPipe in JavaScript.
To use MediaPipe in C++, Android and iOS, which allow further customization of
the solutions as well as
building your own, learn how to
install MediaPipe and
start building example applications in
C++,
Android and
iOS.
The source code is hosted in the
MediaPipe Github repository, and you can
run code search using
Google Open Source Code Search.
Publications
- Bringing artworks to life with AR
in Google Developers Blog - Prosthesis control via Mirru App using MediaPipe hand tracking
in Google Developers Blog - SignAll SDK: Sign language interface using MediaPipe is now available for
developers
in Google Developers Blog - MediaPipe Holistic – Simultaneous Face, Hand and Pose Prediction, on Device
in Google AI Blog - Background Features in Google Meet, Powered by Web ML
in Google AI Blog - MediaPipe 3D Face Transform
in Google Developers Blog - Instant Motion Tracking With MediaPipe
in Google Developers Blog - BlazePose – On-device Real-time Body Pose Tracking
in Google AI Blog - MediaPipe Iris: Real-time Eye Tracking and Depth Estimation
in Google AI Blog - MediaPipe KNIFT: Template-based feature matching
in Google Developers Blog - Alfred Camera: Smart camera features using MediaPipe
in Google Developers Blog - Real-Time 3D Object Detection on Mobile Devices with MediaPipe
in Google AI Blog - AutoFlip: An Open Source Framework for Intelligent Video Reframing
in Google AI Blog - MediaPipe on the Web
in Google Developers Blog - Object Detection and Tracking using MediaPipe
in Google Developers Blog - On-Device, Real-Time Hand Tracking with MediaPipe
in Google AI Blog - MediaPipe: A Framework for Building Perception Pipelines
Videos
Events
- MediaPipe Seattle Meetup, Google Building Waterside, 13 Feb 2020
- AI Nextcon 2020, 12-16 Feb 2020, Seattle
- MediaPipe Madrid Meetup, 16 Dec 2019
- MediaPipe London Meetup, Google 123 Building, 12 Dec 2019
- ML Conference, Berlin, 11 Dec 2019
- MediaPipe Berlin Meetup, Google Berlin, 11 Dec 2019
- The 3rd Workshop on YouTube-8M Large Scale Video Understanding Workshop,
Seoul, Korea ICCV
2019 - AI DevWorld 2019, 10 Oct 2019, San Jose, CA
- Google Industry Workshop at ICIP 2019, 24 Sept 2019, Taipei, Taiwan
(presentation) - Open sourced at CVPR 2019, 17~20 June, Long Beach, CA
Community
- Awesome MediaPipe – A
curated list of awesome MediaPipe related frameworks, libraries and software - Slack community for MediaPipe users
- Discuss – General
community discussion around MediaPipe
Alpha disclaimer
MediaPipe is currently in alpha at v0.7. We may be still making breaking API
changes and expect to get to stable APIs 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.