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![MediaPipe](mediapipe/docs/images/mediapipe_small.png?raw=true "MediaPipe logo")
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![MediaPipe](mediapipe/docs/images/mediapipe_small.png?raw=true "MediaPipe logo")
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=======================================================================
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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), 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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[MediaPipe](http://mediapipe.dev) 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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![Real-time Face Detection](mediapipe/docs/images/realtime_face_detection.gif)
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> "<em>MediaPipe has made it extremely easy to build our 3D person pose reconstruction demo app, facilitating accelerated neural network inference on device and synchronization of our result visualization with the video capture stream. Highly recommended!</em>" - George Papandreou, CTO, [Ariel AI](https://arielai.com)
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## ML Solutions in MediaPipe
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## ML Solutions in MediaPipe
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## Getting started
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## Getting started
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See mobile, desktop, web and Google Coral [examples](mediapipe/docs/examples.md).
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See mobile, desktop, web 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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## 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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[MediaPipe Read-the-Docs](https://mediapipe.readthedocs.io/) or [docs.mediapipe.dev](https://docs.mediapipe.dev)
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9. Run the [Hello World desktop example](./hello_world_desktop.md).
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9. Run the [Hello World desktop example](./hello_world_desktop.md).
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Note: For building MediaPipe on Windows, please add `--action_env
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PYTHON_BIN_PATH="C:/path/to/python.exe"` to the build command.
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Alternatively, you can follow
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[issue 724](https://github.com/google/mediapipe/issues/724) to fix the
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python configuration manually.
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```
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```
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C:\Users\Username\mediapipe_repo>bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 mediapipe/examples/desktop/hello_world
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C:\Users\Username\mediapipe_repo>bazel build -c opt --define MEDIAPIPE_DISABLE_GPU=1 --action_env PYTHON_BIN_PATH="C:/python_36/python.exe" mediapipe/examples/desktop/hello_world
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C:\Users\Username\mediapipe_repo>set GLOG_logtostderr=1
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C:\Users\Username\mediapipe_repo>set GLOG_logtostderr=1
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