1.8 KiB
1.8 KiB
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
Visualizing MediaPipe graphs
A web-based visualizer is hosted on MediaPipe Visualizer. Please also see instructions here.
Publications
- MediaPipe: A Framework for Perceiving and Augmenting Reality, extended abstract for Third Workshop on Computer Vision for AR/VR.
- Full-length draft: MediaPipe: A Framework for Building Perception Pipelines
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.