OpenCvSharp4.Windows 4.8.0.20230708 

dotnet add package OpenCvSharp4.Windows --version 4.8.0.20230708
NuGet\Install-Package OpenCvSharp4.Windows -Version 4.8.0.20230708
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.Windows" Version="4.8.0.20230708" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add OpenCvSharp4.Windows --version 4.8.0.20230708
#r "nuget: OpenCvSharp4.Windows, 4.8.0.20230708"
#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.Windows as a Cake Addin
#addin nuget:?package=OpenCvSharp4.Windows&version=4.8.0.20230708

// Install OpenCvSharp4.Windows as a Cake Tool
#tool nuget:?package=OpenCvSharp4.Windows&version=4.8.0.20230708

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

There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

NuGet packages (26)

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

Package Downloads
RatEye

Image processing library for Escape from Tarkov
MxNet.Sharp

C# Binding for the Apache MxNet library. NDArray, Symbolic and Gluon Supported MxNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, MXNet contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly. A graph optimization layer on top of that makes symbolic execution fast and memory efficient. MXNet is portable and lightweight, scaling effectively to multiple GPUs and multiple machines. MXNet is more than a deep learning project. It is a collection of blue prints and guidelines for building deep learning systems, and interesting insights of DL systems for hackers.
UnionSoft.UiAuto.Automation

Library to use UnionSoft automaion project.
OpenVinoSharp.win

基于C#平台调用OpenVINO套件部署深度学习模型。 Based on the C # platform, call the OpenVINO suite to deploy a deep learning model. 目前版本为测试版本，会存在相关的问题，待后续更新会修改相应的错误；如有其他问题请联系作者解决。
lensfunNET-utilities

lightweight wrapper for the great lensfun library

GitHub repositories (7)

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

Repository Stars
Keboo/MaterialDesignInXaml.Examples
A collection of small samples using MaterialDesignInXaml.
MediaPortal/MediaPortal-2
Development of MediaPortal 2
dengqizhou30/AIAssist
GameAssist是一个AI游戏助手，结合OpenCv、OpenCvSharp4、ssd_mobilenet_v3等技术，对游戏对象进行识别，支持自动瞄准/自动开枪等功能，提升玩家的游戏体验
TheCheatsrichter/Gw2_Launchbuddy
Custom launcher generator for the video game Guild Wars 2.
rexcardan/Evil-DICOM
A C# DICOM Library
Version Downloads Last updated
4.8.0.20230708 14,363 7/10/2023
4.7.0.20230115 75,531 1/15/2023
4.6.0.20220608 117,523 6/8/2022
4.5.5.20211231 78,508 12/31/2021
4.5.3.20211228 11,902 12/28/2021
4.5.3.20211207 9,414 12/7/2021
4.5.3.20211204 686 12/5/2021
4.5.3.20210817 37,305 8/21/2021
4.5.3.20210725 9,876 7/25/2021
4.5.2.20210404 63,297 4/4/2021
4.5.1.20210210 17,807 2/10/2021
4.5.1.20210208 1,154 2/8/2021
4.5.1.20210206 551 2/6/2021
4.5.1.20210123 4,275 1/24/2021
4.5.1.20201229 15,799 12/29/2020
4.5.1.20201226 4,162 12/26/2020
4.5.0.20201013 26,161 10/13/2020
4.4.0.20200915 12,529 9/16/2020
4.4.0.20200725 13,205 7/25/2020
4.3.0.20200701 32,141 7/8/2020
4.3.0.20200524 21,462 5/27/2020
4.3.0.20200421 29,840 4/21/2020
4.3.0.20200405 10,498 4/5/2020
4.2.0.20200208 28,776 2/8/2020
4.2.0.20200108 13,022 1/8/2020
4.2.0.20191223 4,992 12/23/2019
4.1.1.20191216 5,492 12/17/2019
4.1.1.20191110 27,130 11/10/2019
4.1.1.20191026 5,484 10/27/2019
4.1.1.20191025 630 10/25/2019
4.1.1.20191021 744 10/23/2019
4.1.1.20191017 1,367 10/18/2019
4.1.0.20190416 100,921 4/16/2019
4.0.1.20190326 10,187 3/26/2019
4.0.0.20190108 4,943 1/8/2019
4.0.0.20181225 2,001 12/25/2018