Audio-based Mediapipe Buckification for Android Application

[jfResearchEng]

🚀 Feature

MediaPipe is an open-source framework for building pipelines to perform computer vision inference over arbitrary sensory data such as video or audio. Using MediaPipe, such a perception pipeline can be built as a graph of modular components. It is currently built using bazel.

Buck is a multi-language build system developed and used by Meta Platforms, Inc. It was designed for building small, reusable modules consisting of code and resources within a monorepo.[5] It supports many programming languages, including C++, Swift, Shell, Java, Kotlin, Python, Lua, OCaml, Rust and Go. It can produce binary outputs for a variety of target platforms including IOS, Android, .NET and Java VM runtimes. This project will focus on Buck2.

This project targets buckifying mediapipe (i.e. change mediapipe’s build system from bazel to buck) with a focus on supporting Audio Classification

Additional context

Example application can be found here
The code should be added at folder is https://github.com/facebookresearch/labgraph/tree/main/android/labgraph_audio
Create setup.py and README.md, where example can be found at: https://github.com/facebookresearch/labgraph/tree/main/extensions/labgraph_viz
Add github action support, reference: https://github.com/facebookresearch/labgraph/actions/workflows/main.yml
Add proper license header.