OpenCvSharp4.runtime.win 4.9.0.20240103

dotnet add package OpenCvSharp4.runtime.win --version 4.9.0.20240103
NuGet\Install-Package OpenCvSharp4.runtime.win -Version 4.9.0.20240103
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package.
<PackageReference Include="OpenCvSharp4.runtime.win" Version="4.9.0.20240103" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add OpenCvSharp4.runtime.win --version 4.9.0.20240103
#r "nuget: OpenCvSharp4.runtime.win, 4.9.0.20240103"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package.
// Install OpenCvSharp4.runtime.win as a Cake Addin
#addin nuget:?package=OpenCvSharp4.runtime.win&version=4.9.0.20240103

// Install OpenCvSharp4.runtime.win as a Cake Tool
#tool nuget:?package=OpenCvSharp4.runtime.win&version=4.9.0.20240103

Internal implementation package for OpenCvSharp to work on Windows except UWP.

Product Compatible and additional computed target framework versions.
.NET net5.0 is compatible.  net5.0-windows was computed.  net6.0 was computed.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp is compatible.  netcoreapp1.0 was computed.  netcoreapp1.1 was computed.  netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard is compatible.  netstandard1.0 was computed.  netstandard1.1 was computed.  netstandard1.2 was computed.  netstandard1.3 was computed.  netstandard1.4 was computed.  netstandard1.5 was computed.  netstandard1.6 was computed.  netstandard2.0 was computed.  netstandard2.1 was computed. 
.NET Framework net45 was computed.  net451 was computed.  net452 was computed.  net46 was computed.  net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 is compatible.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen30 was computed.  tizen40 was computed.  tizen60 was computed. 
Universal Windows Platform uap was computed.  uap10.0 was computed. 
Windows Phone wp8 was computed.  wp81 was computed.  wpa81 was computed. 
Windows Store netcore was computed.  netcore45 was computed.  netcore451 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • .NETCoreApp 3.1

    • No dependencies.
  • .NETFramework 4.8

    • No dependencies.
  • .NETStandard 2.1

    • No dependencies.
  • net6.0

    • No dependencies.

NuGet packages (54)

Showing the top 5 NuGet packages that depend on OpenCvSharp4.runtime.win:

Package Downloads
OpenCvSharp4.Windows

OpenCV 4.x wrapper. All-in-one package for Windows users.

VL.OpenCV

OpenCV for VL

Aquality.Selenium

Wrapper over Selenium WebDriver for .NET

VisioForge.DotNet.Core.CV

VisioForge CV

OpenCV4

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being an Apache 2 licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 18 million. The library is used extensively in companies, research groups and by governmental bodies. Along with well-established companies like Google, Yahoo, Microsoft, Intel, IBM, Sony, Honda, Toyota that employ the library, there are many startups such as Applied Minds, VideoSurf, and Zeitera, that make extensive use of OpenCV. OpenCV’s deployed uses span the range from stitching streetview images together, detecting intrusions in surveillance video in Israel, monitoring mine equipment in China, helping robots navigate and pick up objects at Willow Garage, detection of swimming pool drowning accidents in Europe, running interactive art in Spain and New York, checking runways for debris in Turkey, inspecting labels on products in factories around the world on to rapid face detection in Japan. It has C++, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS. OpenCV leans mostly towards real-time vision applications and takes advantage of MMX and SSE instructions when available. A full-featured CUDAand OpenCL interfaces are being actively developed right now. There are over 500 algorithms and about 10 times as many functions that compose or support those algorithms. OpenCV is written natively in C++ and has a templated interface that works seamlessly with STL containers.

GitHub repositories (18)

Showing the top 5 popular GitHub repositories that depend on OpenCvSharp4.runtime.win:

Repository Stars
Danily07/Translumo
Advanced real-time screen translator for games, hardcoded subtitles in videos, static text and etc.
SciSharp/BotSharp
The AI Agent Framework in .NET
sdcb/PaddleSharp
.NET/C# binding for Baidu paddle inference library and PaddleOCR
babalae/genshin-fishing-toy
🐟 原神自动钓鱼机,有界面且操作简单。Genshin Impact Automatic Fishing Machine.
Keboo/MaterialDesignInXaml.Examples
A collection of small samples using MaterialDesignInXaml.
Version Downloads Last updated
4.9.0.20240103 134,643 1/3/2024
4.8.0.20230708 244,033 7/10/2023
4.7.0.20230115 380,892 1/15/2023
4.6.0.20220608 403,389 6/8/2022
4.5.5.20211231 305,589 12/31/2021
4.5.3.20211228 74,286 12/28/2021
4.5.3.20211207 29,065 12/7/2021
4.5.3.20211204 8,843 12/5/2021
4.5.3.20210817 154,418 8/21/2021
4.5.3.20210725 35,086 7/25/2021
4.5.2.20210404 184,502 4/4/2021
4.5.1.20210210 71,195 2/10/2021
4.5.1.20210208 11,925 2/8/2021
4.5.1.20210206 9,028 2/6/2021
4.5.1.20210123 33,439 1/24/2021
4.5.1.20201229 61,759 12/29/2020
4.5.1.20201226 18,931 12/26/2020
4.5.0.20201013 89,733 10/13/2020
4.4.0.20200915 56,446 9/16/2020
4.4.0.20200725 64,837 7/25/2020
4.3.0.20200701 66,987 7/8/2020
4.3.0.20200524 167,936 5/27/2020
4.3.0.20200421 62,728 4/21/2020
4.3.0.20200405 30,684 4/5/2020
4.2.0.20200208 100,511 2/8/2020
4.2.0.20200108 85,399 1/8/2020
4.2.0.20191223 21,196 12/23/2019
4.1.1.20191216 46,261 12/17/2019
4.1.1.20191110 71,282 11/10/2019
4.1.1.20191026 24,046 10/27/2019
4.1.1.20191025 29,646 10/25/2019
4.1.1.20191021 13,926 10/23/2019
4.1.1.20191017 10,249 10/18/2019
4.1.0.20190416 156,478 4/16/2019
4.0.1.20190326 42,104 3/26/2019
4.0.0.20190108 24,437 1/8/2019
4.0.0.20181225 49,675 12/25/2018