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=======================================================================
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[MediaPipe](http://mediapipe.dev) is a framework for building multimodal (eg. video, audio, any time series data) applied ML pipelines. With MediaPipe, a perception pipeline can be built as a graph of modular components, including, for instance, inference models (e.g., TensorFlow, TFLite) and media processing functions.
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[MediaPipe](http://mediapipe.dev) is a framework for building multimodal (eg. video, audio, any time series data), cross platform (i.e Android, iOS, web, edge devices) applied ML pipelines. With MediaPipe, a perception pipeline can be built as a graph of modular components, including, for instance, inference models (e.g., TensorFlow, TFLite) and media processing functions.
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## ML Solutions in MediaPipe
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* [Hand Tracking](mediapipe/docs/hand_tracking_mobile_gpu.md)
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* [Face Detection](mediapipe/docs/face_detection_mobile_gpu.md) [[Web Demo]](https://viz.mediapipe.dev/runner/demos/face_detection/face_detection.html)
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* [Multi-hand Tracking](mediapipe/docs/multi_hand_tracking_mobile_gpu.md)
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* [Face Detection](mediapipe/docs/face_detection_mobile_gpu.md)
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* [Hair Segmentation](mediapipe/docs/hair_segmentation_mobile_gpu.md)
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* [Hand Tracking](mediapipe/docs/hand_tracking_mobile_gpu.md) [[Web Demo]](https://viz.mediapipe.dev/runner/demos/hand_tracking/hand_tracking.html)
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* [Hair Segmentation](mediapipe/docs/hair_segmentation_mobile_gpu.md) [[Web Demo]](https://viz.mediapipe.dev/runner/demos/hair_segmentation/hair_segmentation.html)
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* [Object Detection](mediapipe/docs/object_detection_mobile_gpu.md)
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* [Object Detection and Tracking](mediapipe/docs/object_tracking_mobile_gpu.md)
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* [AutoFlip](mediapipe/docs/autoflip.md)
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## Getting started
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See mobile, desktop and Google Coral [examples](mediapipe/docs/examples.md).
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Check out some web demos [[Edge detection]](https://viz.mediapipe.dev/runner/demos/edge_detection/edge_detection.html) [[Face detection]](https://viz.mediapipe.dev/runner/demos/face_detection/face_detection.html) [[Hand Tracking]](https://viz.mediapipe.dev/runner/demos/hand_tracking/hand_tracking.html)
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## Documentation
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[MediaPipe Read-the-Docs](https://mediapipe.readthedocs.io/) or [docs.mediapipe.dev](https://docs.mediapipe.dev)
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## Visualizing MediaPipe graphs
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A web-based visualizer is hosted on [viz.mediapipe.dev](https://viz.mediapipe.dev/). Please also see instructions [here](mediapipe/docs/visualizer.md).
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## Community forum
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* [Discuss](https://groups.google.com/forum/#!forum/mediapipe) - General community discussion around MediaPipe
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## Videos
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* [YouTube Channel](https://www.youtube.com/channel/UCObqmpuSMx-usADtL_qdMAw)
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## Publications
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* [Google Developer Blog: MediaPipe on the Web](https://mediapipe.page.link/webdevblog)
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* [Google Developer Blog: Object Detection and Tracking using MediaPipe](https://mediapipe.page.link/objecttrackingblog)
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* [On-Device, Real-Time Hand Tracking with MediaPipe](https://ai.googleblog.com/2019/08/on-device-real-time-hand-tracking-with.html)
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* [MediaPipe: A Framework for Building Perception Pipelines](https://arxiv.org/abs/1906.08172)
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* [Google Industry Workshop at ICIP 2019](http://2019.ieeeicip.org/?action=page4&id=14#Google) [Presentation](https://docs.google.com/presentation/d/e/2PACX-1vRIBBbO_LO9v2YmvbHHEt1cwyqH6EjDxiILjuT0foXy1E7g6uyh4CesB2DkkEwlRDO9_lWfuKMZx98T/pub?start=false&loop=false&delayms=3000&slide=id.g556cc1a659_0_5) on Sept 24 in Taipei, Taiwan
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* [Open sourced at CVPR 2019](https://sites.google.com/corp/view/perception-cv4arvr/mediapipe) on June 17~20 in Long Beach, CA
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## Community forum
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* [Discuss](https://groups.google.com/forum/#!forum/mediapipe) - General community discussion around MediaPipe
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## Alpha Disclaimer
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MediaPipe is currently in alpha for v0.6. We are still making breaking API changes and expect to get to stable API by v1.0.
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