OpenCvSharp4.Windows 4.6.0.20220608

Install-Package OpenCvSharp4.Windows -Version 4.6.0.20220608
dotnet add package OpenCvSharp4.Windows --version 4.6.0.20220608
<PackageReference Include="OpenCvSharp4.Windows" Version="4.6.0.20220608" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add OpenCvSharp4.Windows --version 4.6.0.20220608
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: OpenCvSharp4.Windows, 4.6.0.20220608"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. 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=4.6.0.20220608

// Install OpenCvSharp4.Windows as a Cake Tool
#tool nuget:?package=OpenCvSharp4.Windows&version=4.6.0.20220608
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

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 (16)

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.

lensfunNET-utilities

lightweight wrapper for the great lensfun library

XuanYou.BaseMicroService.BaseModel

1.0.3 调整VideoProcessingModel.DrawModel实体,新增对象总数和当前对象次数 1.0.2 添加OpenCV支持实体等VideoProcessingModel 1.0.1 测试SDK使用dotnet命令更新 1.0.0 测试SDK上传及更新

DarkV.Extension.QR

解析二维码

GitHub repositories (5)

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

Repository Stars
MediaPortal/MediaPortal-2
Development of MediaPortal 2
Keboo/MaterialDesignInXaml.Examples
A collection of small samples using MaterialDesignInXaml.
Decimation/SmartImage
Reverse image search (SauceNao, ImgOps, trace.moe) tool for Windows
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
deepakkumar1984/MxNet.Sharp
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/
Version Downloads Last updated
4.6.0.20220608 4,045 6/8/2022
4.5.5.20211231 33,624 12/31/2021
4.5.3.20211228 2,296 12/28/2021
4.5.3.20211207 6,776 12/7/2021
4.5.3.20211204 503 12/5/2021
4.5.3.20210817 27,741 8/21/2021
4.5.3.20210725 7,103 7/25/2021
4.5.2.20210404 39,763 4/4/2021
4.5.1.20210210 13,995 2/10/2021
4.5.1.20210208 976 2/8/2021
4.5.1.20210206 403 2/6/2021
4.5.1.20210123 3,238 1/24/2021
4.5.1.20201229 9,084 12/29/2020
4.5.1.20201226 1,270 12/26/2020
4.5.0.20201013 21,761 10/13/2020
4.4.0.20200915 9,136 9/16/2020
4.4.0.20200725 11,034 7/25/2020
4.3.0.20200701 17,839 7/8/2020
4.3.0.20200524 14,910 5/27/2020
4.3.0.20200421 23,019 4/21/2020
4.3.0.20200405 7,549 4/5/2020
4.2.0.20200208 25,038 2/8/2020
4.2.0.20200108 9,845 1/8/2020
4.2.0.20191223 3,778 12/23/2019
4.1.1.20191216 4,447 12/17/2019
4.1.1.20191110 16,248 11/10/2019
4.1.1.20191026 4,919 10/27/2019
4.1.1.20191025 489 10/25/2019
4.1.1.20191021 586 10/23/2019
4.1.1.20191017 1,013 10/18/2019
4.1.0.20190416 75,196 4/16/2019
4.0.1.20190326 8,186 3/26/2019
4.0.0.20190108 4,383 1/8/2019
4.0.0.20181225 1,366 12/25/2018