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Cross-platform, customizable ML solutions for live and streaming media.
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Jiuqiang Tang 2ce3a9719e Remove the problematic packet release calls in OutputHandler::run. 
OutputHandler::run is installed as a MultiStreamCallback into the TaskRunner and it's invoked in the Graph::CallbackToJava() jni method.

In CallbackToJava(), the packets are removed in RemovePacket() calls after the multi stream callback is invoked. The current logic lets the MultiStreamCallback release the packets first and leaves null pointers to RemovePacket() to remove, which may cause the app crash. The fix is to remove the packet release calls in the MultiStreamCallback and always leave the packet release work to RemovePacket().

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README.md

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default Home 1

MediaPipe

Live ML anywhere

MediaPipe offers cross-platform, customizable ML solutions for live and streaming media.

accelerated.png cross_platform.png
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
ready_to_use.png open_source.png
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 Holistic
face_detection face_mesh iris hand pose hair_segmentation
Hair Segmentation Object Detection Box Tracking Instant Motion Tracking Objectron KNIFT
hair_segmentation object_detection box_tracking instant_motion_tracking objectron knift
Android iOS C++ Python JS Coral
Face Detection ✅ ✅ ✅ ✅ ✅ ✅
Face Mesh ✅ ✅ ✅ ✅ ✅
Iris ✅ ✅ ✅
Hands ✅ ✅ ✅ ✅ ✅
Pose ✅ ✅ ✅ ✅ ✅
Holistic ✅ ✅ ✅ ✅ ✅
Selfie Segmentation ✅ ✅ ✅ ✅ ✅
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.

Getting started

To start using MediaPipe solutions with only a few lines code, see example code and demos in MediaPipe in Python and MediaPipe in JavaScript.

To use MediaPipe in C++, Android and iOS, which allow further customization of the solutions as well as building your own, learn how to install MediaPipe and start building example applications in C++, Android and iOS.

The source code is hosted in the MediaPipe Github repository, and you can run code search using Google 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 these guidelines.

We use GitHub issues for tracking requests and bugs. Please post questions to the MediaPipe Stack Overflow with a mediapipe tag.