OpenCvSharp4.Windows 4.10.0.20241108 

dotnet add package OpenCvSharp4.Windows --version 4.10.0.20241108                

                    
                

            
NuGet\Install-Package OpenCvSharp4.Windows -Version 4.10.0.20241108
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="4.10.0.20241108" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add OpenCvSharp4.Windows --version 4.10.0.20241108                

                    
                

            
#r "nuget: OpenCvSharp4.Windows, 4.10.0.20241108"
#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=4.10.0.20241108

// Install OpenCvSharp4.Windows as a Cake Tool
#tool nuget:?package=OpenCvSharp4.Windows&version=4.10.0.20241108

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 (39)

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

Package Downloads
our1314.work

Package Description
RatEye

Image processing library for Escape from Tarkov
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.
IronOcr.Extensions.AdvancedScan

IronOcr.Extensions.AdvancedScan is an Extension Package to IronOCR: https://www.nuget.org/packages/IronOcr This package is not stand-alone. The IronOcr package must also be installed first, and a IronOcr License or Trial Key must be applied. More information: https://ironsoftware.com/csharp/ocr/licensing/ Operating System Support: * Currently this extension is only avaiable on Windows. Supported .NET Versions: * .NET 8 * .NET 7 * .NET 6 * .NET 5 * .NET Core 2.0 - 3.1 * .NET Framework 4.6.2 + * .NET Standard 2.0 + Features: * Support for Advanced ML Model to Read and Decode more advanced image templates * License Plate Reading * Passport (MRZ) Reading * Noisy Image and Screenshot Reading Coming Soon: * Data Table Parsing

GitHub repositories (16)

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

Repository Stars
babalae/better-genshin-impact
📦BetterGI · 更好的原神 - 自动拾取 | 自动剧情 | 全自动钓鱼(AI) | 全自动七圣召唤 | 自动伐木 | 自动刷本 | 自动采集/挖矿/锄地 | 一条龙 | 全连音游 - UI Automation Testing Tools For Genshin Impact
dorisoy/Dorisoy.Pan
Dorisoy.Pan 是基于.net core8 的跨平台文档管理系统，使用 MS SQL 2012 / MySql8.0（或更高版本）后端数据库，您可以在 Windows、Linux 或 Mac 上运行它,项目中的所有方法都是异步的,支持令牌基身份验证,项目体系结构遵循著名的软件模式和最佳安全实践。源代码是完全可定制的,热插拔且清晰的体系结构,使开发定制功能和遵循任何业务需求变得容易。 系统使用最新的 Microsoft 技术，高性能稳定性和安全性
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
Version Downloads Last updated
4.10.0.20241108 52,802 11/8/2024
4.10.0.20241107 658 11/7/2024
4.10.0.20240616 62,208 6/16/2024
4.10.0.20240615 484 6/15/2024
4.9.0.20240103 90,859 1/3/2024
4.8.0.20230708 156,617 7/10/2023
4.7.0.20230115 193,886 1/15/2023
4.6.0.20220608 166,151 6/8/2022
4.5.5.20211231 100,638 12/31/2021
4.5.3.20211228 30,482 12/28/2021
4.5.3.20211207 10,295 12/7/2021
4.5.3.20211204 848 12/5/2021
4.5.3.20210817 53,436 8/21/2021
4.5.3.20210725 11,183 7/25/2021
4.5.2.20210404 87,863 4/4/2021
4.5.1.20210210 20,157 2/10/2021
4.5.1.20210208 1,297 2/8/2021
4.5.1.20210206 673 2/6/2021
4.5.1.20210123 5,265 1/24/2021
4.5.1.20201229 39,580 12/29/2020
4.5.1.20201226 6,603 12/26/2020
4.5.0.20201013 29,049 10/13/2020
4.4.0.20200915 16,496 9/16/2020
4.4.0.20200725 14,881 7/25/2020
4.3.0.20200701 36,454 7/8/2020
4.3.0.20200524 23,907 5/27/2020
4.3.0.20200421 33,340 4/21/2020
4.3.0.20200405 11,961 4/5/2020
4.2.0.20200208 31,760 2/8/2020
4.2.0.20200108 16,647 1/8/2020
4.2.0.20191223 5,584 12/23/2019
4.1.1.20191216 6,582 12/17/2019
4.1.1.20191110 53,974 11/10/2019
4.1.1.20191026 5,760 10/27/2019
4.1.1.20191025 764 10/25/2019
4.1.1.20191021 855 10/23/2019
4.1.1.20191017 1,608 10/18/2019
4.1.0.20190416 108,325 4/16/2019
4.0.1.20190326 11,964 3/26/2019
4.0.0.20190108 5,673 1/8/2019
4.0.0.20181225 3,608 12/25/2018