Image & Design

Emgu CV

Cross-platform OpenCV wrapper for .NET and Mono environments.

Status
UnmaintainedNo commits in 5810 days.
Last checked
Checked · Oct 16, 2026
License
Open source
Pricing
Free tier · from $0

What it is

Emgu CV is a cross-platform wrapper of the popular computer vision library, OpenCV. It can be compiled in Mono to run on Windows, Linux, Mac OS X, iOS, and Android, making it versatile for various development needs.

Emgu CV stands out by providing a comprehensive .NET wrapper around OpenCV, enabling developers to leverage powerful computer vision functionalities across multiple platforms without leaving the familiar .NET ecosystem.

When it fits — and when it doesn’t

A good fit for

  • Teams developing multi-platform applications that require robust image processing and computer vision functionalities.

  • Developers working on cross-platform projects who prefer using the .NET framework for their development needs.

Look elsewhere if

  • Projects requiring real-time video streaming capabilities, as Emgu CV focuses more on image processing rather than live stream handling.

  • Teams looking for a cloud-based service solution, as it is primarily self-hosted and requires local installation.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Steep learning curve for non-.NET developers

    Emgu CV is tightly integrated with .NET, which may require significant time and effort to learn for developers unfamiliar with the framework.

  2. 02

    Limited documentation and community support compared to OpenCV

    The official documentation is not as comprehensive or up-to-date as that of OpenCV, and the community size and activity level are smaller.

  3. 03

    Performance overhead due to managed code

    As a .NET wrapper around native C++ libraries, Emgu CV can introduce performance overhead compared to using OpenCV directly in C++ or Python.

  4. 04

    Complex setup and configuration for cross-platform development

    Setting up the environment across different platforms (Windows, Linux, Mac OS X) requires careful attention to dependencies and configurations.

What it does well

  • Cross-platform support for Windows, Linux, Mac OS X, iOS, and Android.

  • Wraps OpenCV functionalities in a .NET-friendly manner.

  • Supports various image processing and computer vision tasks.

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Emgu CV

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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