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Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages. The wrapper can be compiled by Visual Studio and Unity, it can run on Windows, Linux, Mac OS, iOS and Android.

Latest News

• 2025-07-27 Emgu.CV-4.11.0 release is available in github and nuget. See change log and known issues.
• 2025-01-21 Emgu.CV-4.10.0 release is available in github and nuget. See change log and known issues.
• 2024-05-12 Emgu.CV-4.9.0 release is available in github and nuget. See change log and known issues.
• 2023-09-10 Emgu.CV-4.8.0 release is available in github and nuget. See change log and known issues.
• 2023-04-23 Emgu.CV-4.7.0 release is available in github and nuget. See change log and known issues.
• 2022-10-30 Emgu.CV-4.6.0 release is available in github and nuget. See change log and known issues.
• 2022-01-09 Emgu.CV-4.5.5 release is available in github and nuget. See change log and known issues.
• 2021-11-07 Emgu.CV-4.5.4 release is available in github and nuget. See change log and known issues.
• 2021-08-08 Emgu.CV-4.5.3 release is available in github and nuget. See change log and known issues.
• 2021-07-04 Emgu.CV-4.5.2 release is available in github and nuget. See change log and known issues.
• 2021-01-24 Emgu.CV-4.5.1 release is available in github and nuget. See change log and known issues.

• News Archive

Platform Features

Windows

Name	Emgu CV (Open Source)	Emgu CV for Windows (Commercial Optimized)
Development tools	Visual Studio 2019 and up	Visual Studio 2019 and up	Visual Studio 2019 and up
Platform	Windows	Windows	UWP / Windows 8.1 Store app
Supported CPU Architecture	i386, x86_64, arm64	i386, x86_64, arm64	i386, x86_64
CUDA GPU Processing	x86_64	x86_64	X
OpenCL (GPU&CPU)	$✓$	$✓$	X
Tesseract OCR	$✓$	$✓$	$✓$
code dispatch	X	$✓$	X
Exception Handling	$✓$	$✓$	$✓$
Debugger Visualizer	$✓$	$✓$	X
Emgu.CV.UI	$✓$	$✓$	X
License	GPL	Commercial License

• Windows UWP version is included in the Windows Commercial release
• Windows Phone is no longer supported

Mobile Devices

Name	Emgu CV for iOS	Emgu CV for Android
Requirement	Visual Studio Code for Mac / build from commandline	Visual Studio 2022 for Windows
Platform	iOS (iPhone, IPad)	Android
Supported Device	armv7, armv7a, arm64	armeabi, armeabi-v7a, arm64-v8a, x86_64
Supported Simulator	x86_64, arm64-v8a	armeabi, armeabi-v7a, arm64-v8a, x86_64
CUDA GPU Processing	X	X
OpenCL 1.2 (GPU&CPU)	X	$✓$ (on supported devices)
Tesseract OCR	$✓$	$✓$
Exception Handling	$✓$	$✓$
License	Commercial License	Commercial License

Mac OS, Linux, Unix

The commercial release include prebuild binary for Mac OS. For Linux and Unix platform, you need to compile the binary from source.

Name	Emgu CV (Open Source)	Emgu CV for MacOS, Linux & Unix(Commercial License)
Development Tools	Visual Studio Code, JetBrains Rider	Visual Studio Code, JetBrains Rider
MacOS	$✓$	$✓$
Linux, Unix	$✓$	$✓$
CUDA GPU Processing	X	X
OpenCL (GPU&CPU)	$✓$	$✓$
Tesseract OCR	$✓$	$✓$
Exception Handling	$✓$	$✓$
License	GPL	Commercial License

Advantage of Emgu CV

Cross Platform

Emgu CV is written entirely in C#. It can be run on any platform .net supports, including iOS, Android, Mac OS, Linux and windows. A lot of efforts has been spent to have a pure C# implementation since the headers have to be ported, compared with managed C++ implementation where header files can simply be included. But it is well worth it if you see Emgu CV running on Fedora 10! Plus it always gives you the comfort knowing that your code is cross-platform.

Cross Language and comes with example code

Emgu CV can be used from several different languages, including C#, VB.NET, C++ and IronPython. On this wiki, we provide examples for all those languages, which are available from the Examples section on Tutorial page. Our Discussion Forum is also available if you have any questions related to your favourite programming language.

Other Advantages

• Image class with Generic Color and Depth
• Automatic garbage collection
• XML Serializable Image
• XML Documentation and intellisense support
• The choice to either use the Image class or direct invoke functions from OpenCV
• Generic operations on image pixels