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mediapipe

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google /mediapipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and a...

7.9K Stars 1.5K Forks Last release: 6 days ago (v0.7.7) Apache License 2.0 68 Commits 22 Releases

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MediaPipe


Cross-platform ML solutions made simple

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

accelerated.png | cross_platform.png:------------------------------------------------------------------------------------------------------------: | :----------------------------------------------------:End-to-End acceleration: built-in fast ML inference and processing accelerated even on common hardware | Build one, deploy anywhere: Unified solution works across Android, iOS, desktop/cloud, web and IoT ready_to_use.png | open_source.pngReady-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 | Hands | Hair Segmentation :----------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------: | :--------------------------------------------------------------------------------------------------------: | :---------------:face_detection | face_mesh | hand | hair_segmentation

Object Detection | Box Tracking | Objectron | KNIFT :----------------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------------------------: | :---:object_detection | box_tracking | objectron | knift

| Android | iOS | Desktop | Web | Coral :---------------------------------------------------------------------------- | :-----: | :-: | :-----: | :-: | :---:Face Detection | ✅ | ✅ | ✅ | ✅ | ✅Face Mesh | ✅ | ✅ | ✅ | |Hands | ✅ | ✅ | ✅ | ✅ |Hair Segmentation | ✅ | | ✅ | ✅ |Object Detection | ✅ | ✅ | ✅ | | ✅Box Tracking | ✅ | ✅ | ✅ | |Objectron | ✅ | | | |KNIFT | ✅ | | | |AutoFlip | | | ✅ | |MediaSequence | | | ✅ | |YouTube 8M | | | ✅ | |

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 seeMediaPipe on the Webin 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.

visualizer_runner

Getting started

Learn how to installMediaPipe andbuild example applications, and start exploring our ready-to-usesolutions that you can further extend and customize.

The source code is hosted in theMediaPipe Github repository, and you can run code search usingGoogle Open Source Code Search.

Publications

Videos

Events

Community

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 theseguidelines.

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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