whatisgithub

What is ocean?

facebookresearch/ocean — explained in plain English

Analysis updated 2026-07-18 · repo last pushed 2026-06-25

780C++Audience · developerComplexity · 4/5ActiveLicenseSetup · hard

In one sentence

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.

Mindmap

mindmap
  root((Ocean))
    What it does
      Image processing
      Motion tracking
      Scene understanding
    Tech Stack
      C plus plus
      CMake
      Python
    Use Cases
      Track hands in AR
      Recognize objects
      Real-time video processing
    Audience
      Developers
      AR builders
      Mobile engineers

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Build an AR app that tracks a user's hands in real time using Ocean's motion tracking components.

USE CASE 2

Add object recognition to a mobile app on Android or iOS without writing computer vision code from scratch.

USE CASE 3

Process live video feeds for real-world scene understanding on desktop or Meta Quest hardware.

USE CASE 4

Reuse the same computer vision codebase across phones, computers, and headsets without platform-specific rewrites.

What is it built with?

C++CMakePython

How does it compare?

facebookresearch/oceankeyboardio/kaleidoscopelouiszengcn/carlaair
Stars780812941
LanguageC++C++C++
Last pushed2026-06-25
MaintenanceActive
Setup difficultyhardmoderatehard
Complexity4/53/55/5
Audiencedeveloperdeveloperresearcher

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · hard Time to first run · 1day+

Must be built from source with C++20, CMake, and Python, no ready-to-use download.

MIT License: anyone can use, modify, and distribute it freely.

So what is it?

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.

Copy-paste prompts

Prompt 1
Walk me through building Ocean from source with CMake and C++20 on macOS.
Prompt 2
Show me how to use Ocean's motion tracking components to build a hand-tracking AR feature.
Prompt 3
Explain which Ocean modules I'd need to add real-time object recognition to a mobile app.
Prompt 4
Help me set up the Python and C++20 toolchain requirements to compile Ocean for Android.

Frequently asked questions

What is ocean?

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.

What language is ocean written in?

Mainly C++. The stack also includes C++, CMake, Python.

Is ocean actively maintained?

Active — commit in last 30 days (last push 2026-06-25).

What license does ocean use?

MIT License: anyone can use, modify, and distribute it freely.

How hard is ocean to set up?

Setup difficulty is rated hard, with roughly 1day+ to a first successful run.

Who is ocean for?

Mainly developer.

Open on GitHub → Ask about another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.