mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

android audio-processing c-plus-plus calculator computer-vision deep-learning framework graph-based graph-framework inference machine-learning mediapipe mobile-development perception pipeline-framework stream-processing video-processing

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README.md

We will be presenting at CVPR 2019 on June 17~20 in Long Beach, CA. Come join us!

MediaPipe 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.

Installation

Follow these instructions.

Getting started

See mobile and desktop examples.

Documentation

On MediaPipe Read-the-Docs.

Visualizing MediaPipe graphs

A web-based visualizer is hosted on MediaPipe Visualizer. Please also see instructions here.

Publications

MediaPipe: A Framework for Building Perception Pipelines on arXiv.
MediaPipe: A Framework for Perceiving and Augmenting Reality, extended abstract for Third Workshop on Computer Vision for AR/VR.

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.