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.
ML Solutions in MediaPipe
Follow these instructions.
See mobile and desktop examples.
Visualizing MediaPipe graphs
- Discuss - General community discussion around MediaPipe
Open sourced at CVPR 2019 on June 17~20 in Long Beach, CA
MediaPipe is currently in alpha for v0.6. We are still making breaking API changes and expect to get to stable API by v1.0.
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.