38 lines
1.9 KiB
Markdown
38 lines
1.9 KiB
Markdown
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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. http://mediapipe.dev
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## Installation
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Follow these [instructions](mediapipe/docs/install.md).
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## Getting started
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See mobile and desktop [examples](mediapipe/docs/examples.md).
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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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Check out the [Examples page] for tutorials on how to use MediaPipe. [Concepts page](https://mediapipe.readthedocs.io/en/latest/concepts.html) for basic definitions
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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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## Publications
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* [MediaPipe: A Framework for Building Perception Pipelines](https://arxiv.org/abs/1906.08172)
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## Events
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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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## Alpha Disclaimer
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MediaPipe is currently in alpha for v0.5. We are still making breaking API changes and expect to get to stable API by v1.0.
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## Contributing
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We welcome contributions. Please follow these [guidelines](./CONTRIBUTING.md).
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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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