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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

• 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.
• 2020-12-15 Emgu CV now have a new discussion board on GitHub. We will be retiring the old discussion forum.
• 2020-10-04 Emgu.CV-4.4.0 release is available in github and nuget. See change log and known issues.
• 2020-06-07 Emgu.CV-4.3.0 release is available in github and nuget. See change log and known issues. The commercial release is no longer build with Intel C++ Compiler, the 64-bit release is compiled with Intel OpenVino to speed up the DNN module. It will require workstations with AVX2. For detail, please check the release note.
• 2020-01-26 Emgu.CV-4.2.0 release is available in github and nuget. See change log and known issues. Emgu.CV.dll is now defaulted to .NetStandard 2.0 and the nuget package installation will require an Emgu.CV.runtime.{platform} package that contains the native binary for the specific platforms, on top of the Emgu.CV nuget package, that contains only the .Net Standard 2.0 dll.
• 2019-10-06 Emgu.CV-4.1.1 release is available in github and nuget. See change log and known issues.
• 2019-05-25 Emgu.CV-4.1.0 release is available in github and nuget. See change log and known issues.
• 2019-04-16 Emgu.CV-4.0.1 release is available in github and nuget. See change log and known issues.
• News Archieve

Platform Features

Windows

Name	Emgu CV (Open Source)	Emgu CV for Windows (Commercial Optimized)		Emgu CV for Unity
Development tools	Visual Studio 2019 and up	Visual Studio 2019 and up	Visual Studio 2019 and up	Unity 3D 2019.4 and up
Platform	Windows	Windows	UWP / Windows 8.1 Store app	Windows Desktop Standalone
Supported CPU Architecture	i386, x64	i386, x64	i386, x64	i386 (Editor & Standalone), x64 (Standalone)
CUDA GPU Processing	$\checkmark$	$\checkmark$	X	X
OpenCL (GPU&CPU)	$\checkmark$	$\checkmark$	X	$\checkmark$
Tesseract OCR	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$
Compiled with IPP & code dispatch	X	$\checkmark$	X	X
Exception Handling	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$
Debugger Visualizer	$\checkmark$	$\checkmark$	X	X
Emgu.CV.UI	$\checkmark$	$\checkmark$	X	X
License	GPL	Commercial License		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	Emgu CV for UWP	Emgu CV for Unity
Requirement	Visual Studio 2019+ for Mac (recommended) or Windows	Visual Studio 2019+ for Windows or Mac	Visual Studio 2019+	Unity 3D 2019.4
Platform	iOS (iPhone, IPad, IPod Touch)	Android	UWP	iOS (iPhone, IPad, IPod Touch)	Android	Windows UWP
Supported Device	armv7, armv7a, arm64	armeabi, armeabi-v7a, arm64-v8a, x86, x86_64	arm, x86, x64	armv7, armv7a, arm64	armeabi-v7a, x86	arm, x86, x86_64
Supported Simulator	i386, x64	armeabi, armeabi-v7a, arm64-v8a, x86, x86_64	x86	i386	armeabi-v7a, x86	x86, x86_64
CUDA GPU Processing	X	X	X	X	X	X
OpenCL 1.2 (GPU&CPU)	X	$\checkmark$ (on supported devices)	X	X	$\checkmark$ (on supported devices)	X
Tesseract OCR	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$
Exception Handling	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$	$\checkmark$
License	Commercial License	Commercial 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 OSX, Linux Unix(Commercial License)	Emgu CV for Unity
Development Tools	Visual Studio for Mac, JetBrains Rider	Visual Studio for Mac, JetBrains Rider	Unity 3D 2019.4
MacOS	$\checkmark$	$\checkmark$	x86 & x64 (Editor & Standalone)
Linux, Unix	$\checkmark$	$\checkmark$	X
CUDA GPU Processing	X	X	X
OpenCL (GPU&CPU)	$\checkmark$	$\checkmark$	$\checkmark$
Tesseract OCR	$\checkmark$	$\checkmark$	$\checkmark$
Exception Handling	$\checkmark$	$\checkmark$	$\checkmark$
License	GPL	Commercial License	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