OpenCvSharp4.runtime.win 4.0.1.20190326

There is a newer version of this package available.
See the version list below for details.
dotnet add package OpenCvSharp4.runtime.win --version 4.0.1.20190326                
NuGet\Install-Package OpenCvSharp4.runtime.win -Version 4.0.1.20190326                
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="4.0.1.20190326" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add OpenCvSharp4.runtime.win --version 4.0.1.20190326                
#r "nuget: OpenCvSharp4.runtime.win, 4.0.1.20190326"                
#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=4.0.1.20190326

// Install OpenCvSharp4.runtime.win as a Cake Tool
#tool nuget:?package=OpenCvSharp4.runtime.win&version=4.0.1.20190326                

Support OpenCV 4.0.1

Product Compatible and additional computed target framework versions.
.NET Framework net is compatible. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.
  • .NETFramework 2.0

    • No dependencies.
  • .NETFramework 4.0

    • No dependencies.
  • .NETFramework 4.6.1

    • No dependencies.
  • .NETStandard 2.0

    • No dependencies.

NuGet packages (66)

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

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.

BaseLibrary.Photo

Package Description

GitHub repositories (21)

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
AI Multi-Agent Framework in .NET
sdcb/PaddleSharp
.NET/C# binding for Baidu paddle inference library and PaddleOCR
rnchg/Apt
AI Productivity Tool - Free and open-source, enhancing user productivity while ensuring privacy and data security. It provides efficient and convenient AI solutions, including but not limited to: built-in exclusive ChatGPT, one-click batch intelligent processing of images and videos, and more.
babalae/genshin-fishing-toy
🐟 原神自动钓鱼机,有界面且操作简单。Genshin Impact Automatic Fishing Machine.
Version Downloads Last updated
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4.3.0.20200701 71,074 7/8/2020
4.3.0.20200524 170,988 5/27/2020
4.3.0.20200421 65,282 4/21/2020
4.3.0.20200405 32,571 4/5/2020
4.2.0.20200208 104,482 2/8/2020
4.2.0.20200108 90,435 1/8/2020
4.2.0.20191223 22,434 12/23/2019
4.1.1.20191216 47,204 12/17/2019
4.1.1.20191110 82,040 11/10/2019
4.1.1.20191026 25,068 10/27/2019
4.1.1.20191025 29,946 10/25/2019
4.1.1.20191021 14,004 10/23/2019
4.1.1.20191017 10,447 10/18/2019
4.1.0.20190416 163,958 4/16/2019
4.0.1.20190326 44,261 3/26/2019
4.0.0.20190108 24,878 1/8/2019
4.0.0.20181225 54,700 12/25/2018