sandrist/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.
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Live ML anywhere
MediaPipe offers cross-platform, customizable
ML solutions for live and streaming media.
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| End-to-End acceleration: Built-in fast ML inference and processing accelerated even on common hardware | Build once, deploy anywhere: Unified solution works across Android, iOS, desktop/cloud, web and IoT |
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| Ready-to-use solutions: Cutting-edge ML solutions demonstrating full power of the framework | Free and open source: Framework and solutions both under Apache 2.0, fully extensible and customizable |
ML solutions in MediaPipe
| Face Detection | Face Mesh | Iris | Hands | Pose | Hair Segmentation |
|---|---|---|---|---|---|
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| Object Detection | Box Tracking | Instant Motion Tracking | Objectron | KNIFT |
|---|---|---|---|---|
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| Android | iOS | Desktop | Python | Web | Coral | |
|---|---|---|---|---|---|---|
| Face Detection | ✅ | ✅ | ✅ | ✅ | ✅ | |
| Face Mesh | ✅ | ✅ | ✅ | |||
| Iris | ✅ | ✅ | ✅ | ✅ | ||
| Hands | ✅ | ✅ | ✅ | ✅ | ||
| Pose | ✅ | ✅ | ✅ | ✅ | ✅ | |
| Hair Segmentation | ✅ | ✅ | ✅ | |||
| Object Detection | ✅ | ✅ | ✅ | ✅ | ||
| Box Tracking | ✅ | ✅ | ✅ | |||
| Instant Motion Tracking | ✅ | |||||
| Objectron | ✅ | |||||
| KNIFT | ✅ | |||||
| AutoFlip | ✅ | |||||
| MediaSequence | ✅ | |||||
| YouTube 8M | ✅ |
See also
MediaPipe Models and Model Cards
for ML models released in MediaPipe.
MediaPipe on the Web
MediaPipe on the Web is an effort to run the same ML solutions built for mobile
and desktop also in web browsers. The official API is under construction, but
the core technology has been proven effective. Please see
MediaPipe on the Web
in Google Developers Blog for details.
You can use the following links to load a demo in the MediaPipe Visualizer, and
over there click the "Runner" icon in the top bar like shown below. The demos
use your webcam video as input, which is processed all locally in real-time and
never leaves your device.
- MediaPipe Face Detection
- MediaPipe Iris
- MediaPipe Iris: Depth-from-Iris
- MediaPipe Hands
- MediaPipe Hands (palm/hand detection only)
- MediaPipe Pose
- MediaPipe Hair Segmentation
Getting started
Learn how to install
MediaPipe and
build example applications,
and start exploring our ready-to-use
solutions that you can
further extend and customize.
The source code is hosted in the
MediaPipe Github repository, and you can
run code search using
Google Open Source Code Search.
Publications
- 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.