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
<PackageReference Include="OpenCvSharp4.Windows" Version="4.10.0.20241108" />
paket add OpenCvSharp4.Windows --version 4.10.0.20241108
#r "nuget: OpenCvSharp4.Windows, 4.10.0.20241108"
// 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.
Learn more about Target Frameworks and .NET Standard.
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.NETCoreApp 3.1
- OpenCvSharp4 (>= 4.10.0.20241108)
- OpenCvSharp4.runtime.win (>= 4.10.0.20241108)
- OpenCvSharp4.WpfExtensions (>= 4.10.0.20241108)
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.NETFramework 4.8
- OpenCvSharp4 (>= 4.10.0.20241108)
- OpenCvSharp4.runtime.win (>= 4.10.0.20241108)
- OpenCvSharp4.WpfExtensions (>= 4.10.0.20241108)
-
.NETStandard 2.0
- OpenCvSharp4 (>= 4.10.0.20241108)
- OpenCvSharp4.runtime.win (>= 4.10.0.20241108)
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.NETStandard 2.1
- OpenCvSharp4 (>= 4.10.0.20241108)
- OpenCvSharp4.runtime.win (>= 4.10.0.20241108)
-
net6.0
- OpenCvSharp4 (>= 4.10.0.20241108)
- OpenCvSharp4.runtime.win (>= 4.10.0.20241108)
NuGet packages (38)
Showing the top 5 NuGet packages that depend on OpenCvSharp4.Windows:
Package | Downloads |
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our1314.work
Package Description |
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RatEye
Image processing library for Escape from Tarkov |
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UnionSoft.UiAuto.Automation
Library to use UnionSoft automaion project. |
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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. |
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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. |
GitHub repositories (14)
Showing the top 5 popular GitHub repositories that depend on OpenCvSharp4.Windows:
Repository | Stars |
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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 - UI Automation Testing Tools For Genshin Impact
|
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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
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Keboo/MaterialDesignInXaml.Examples
A collection of small samples using MaterialDesignInXaml.
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MediaPortal/MediaPortal-2
Development of MediaPortal 2
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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
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Version | Downloads | Last updated |
---|---|---|
4.10.0.20241108 | 14,142 | 11/8/2024 |
4.10.0.20241107 | 548 | 11/7/2024 |
4.10.0.20240616 | 50,953 | 6/16/2024 |
4.10.0.20240615 | 420 | 6/15/2024 |
4.9.0.20240103 | 77,519 | 1/3/2024 |
4.8.0.20230708 | 116,499 | 7/10/2023 |
4.7.0.20230115 | 176,698 | 1/15/2023 |
4.6.0.20220608 | 158,819 | 6/8/2022 |
4.5.5.20211231 | 97,866 | 12/31/2021 |
4.5.3.20211228 | 28,141 | 12/28/2021 |
4.5.3.20211207 | 10,150 | 12/7/2021 |
4.5.3.20211204 | 813 | 12/5/2021 |
4.5.3.20210817 | 50,853 | 8/21/2021 |
4.5.3.20210725 | 11,057 | 7/25/2021 |
4.5.2.20210404 | 84,509 | 4/4/2021 |
4.5.1.20210210 | 19,937 | 2/10/2021 |
4.5.1.20210208 | 1,274 | 2/8/2021 |
4.5.1.20210206 | 652 | 2/6/2021 |
4.5.1.20210123 | 5,107 | 1/24/2021 |
4.5.1.20201229 | 39,032 | 12/29/2020 |
4.5.1.20201226 | 6,350 | 12/26/2020 |
4.5.0.20201013 | 28,649 | 10/13/2020 |
4.4.0.20200915 | 15,704 | 9/16/2020 |
4.4.0.20200725 | 14,679 | 7/25/2020 |
4.3.0.20200701 | 35,651 | 7/8/2020 |
4.3.0.20200524 | 23,779 | 5/27/2020 |
4.3.0.20200421 | 32,276 | 4/21/2020 |
4.3.0.20200405 | 11,801 | 4/5/2020 |
4.2.0.20200208 | 31,300 | 2/8/2020 |
4.2.0.20200108 | 16,237 | 1/8/2020 |
4.2.0.20191223 | 5,505 | 12/23/2019 |
4.1.1.20191216 | 6,465 | 12/17/2019 |
4.1.1.20191110 | 48,443 | 11/10/2019 |
4.1.1.20191026 | 5,707 | 10/27/2019 |
4.1.1.20191025 | 733 | 10/25/2019 |
4.1.1.20191021 | 826 | 10/23/2019 |
4.1.1.20191017 | 1,576 | 10/18/2019 |
4.1.0.20190416 | 107,345 | 4/16/2019 |
4.0.1.20190326 | 11,578 | 3/26/2019 |
4.0.0.20190108 | 5,539 | 1/8/2019 |
4.0.0.20181225 | 3,321 | 12/25/2018 |