facebookresearch/ocean — explained in plain English
Analysis updated 2026-07-18 · repo last pushed 2026-06-25
Build an AR app that tracks a user's hands in real time using Ocean's motion tracking components.
Add object recognition to a mobile app on Android or iOS without writing computer vision code from scratch.
Process live video feeds for real-world scene understanding on desktop or Meta Quest hardware.
Reuse the same computer vision codebase across phones, computers, and headsets without platform-specific rewrites.
| facebookresearch/ocean | keyboardio/kaleidoscope | louiszengcn/carlaair | |
|---|---|---|---|
| Stars | 780 | 812 | 941 |
| Language | C++ | C++ | C++ |
| Last pushed | 2026-06-25 | — | — |
| Maintenance | Active | — | — |
| Setup difficulty | hard | moderate | hard |
| Complexity | 4/5 | 3/5 | 5/5 |
| Audience | developer | developer | researcher |
Figures from each repo's GitHub metadata at analysis time.
Must be built from source with C++20, CMake, and Python, no ready-to-use download.
Ocean is a toolkit that Facebook's research team built to help developers create computer vision and augmented reality applications. Think of it as a foundational library, like a collection of specialized tools, that handles the heavy lifting of tasks like image processing, motion tracking, and real-world scene understanding. Instead of building these capabilities from scratch, developers can use Ocean's pre-made components to speed up their projects. The framework is written in C++, a programming language known for being fast and efficient. This matters because computer vision and AR work is computationally demanding, processing video feeds in real time or recognizing objects in images requires a lot of computing power. By using C++, Ocean can squeeze out maximum performance on a wide range of devices: phones (Android and iOS), computers (Windows, macOS, Linux), and specialized hardware like Meta Quest headsets. The framework is designed to work across all these platforms without requiring changes to the underlying code, which saves developers significant effort. If you're building an AR app that needs to track a user's hands, or a mobile app that identifies objects in photos, or any tool that processes visual information in real time, Ocean provides the building blocks to make that possible. Meta uses this framework internally for its own products, so it's been tested and refined in real production environments. The framework is open source under the MIT License, meaning anyone can use, modify, and distribute it. Getting started requires some technical setup, you'll need to build Ocean from source code rather than download a ready-to-use version, and you need C++20 compatibility and tools like CMake and Python. The project provides detailed instructions for each platform, but this does mean it's aimed at developers comfortable with building software from source, not non-technical users looking for a plug-and-play solution.
Facebook's C++ toolkit for building computer vision and augmented reality apps, handling image processing, motion tracking, and scene understanding across phones, desktops, and Meta Quest.
Mainly C++. The stack also includes C++, CMake, Python.
Active — commit in last 30 days (last push 2026-06-25).
MIT License: anyone can use, modify, and distribute it freely.
Setup difficulty is rated hard, with roughly 1day+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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