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 (18)

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 (6)

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
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 13,145 6/8/2022
4.5.5.20211231 40,005 12/31/2021
4.5.3.20211228 3,110 12/28/2021
4.5.3.20211207 7,382 12/7/2021
4.5.3.20211204 517 12/5/2021
4.5.3.20210817 28,835 8/21/2021
4.5.3.20210725 7,355 7/25/2021
4.5.2.20210404 42,315 4/4/2021
4.5.1.20210210 14,255 2/10/2021
4.5.1.20210208 985 2/8/2021
4.5.1.20210206 409 2/6/2021
4.5.1.20210123 3,368 1/24/2021
4.5.1.20201229 9,840 12/29/2020
4.5.1.20201226 1,434 12/26/2020
4.5.0.20201013 22,180 10/13/2020
4.4.0.20200915 9,728 9/16/2020
4.4.0.20200725 11,345 7/25/2020
4.3.0.20200701 20,966 7/8/2020
4.3.0.20200524 15,536 5/27/2020
4.3.0.20200421 23,722 4/21/2020
4.3.0.20200405 7,730 4/5/2020
4.2.0.20200208 25,481 2/8/2020
4.2.0.20200108 10,164 1/8/2020
4.2.0.20191223 3,846 12/23/2019
4.1.1.20191216 4,532 12/17/2019
4.1.1.20191110 16,917 11/10/2019
4.1.1.20191026 4,971 10/27/2019
4.1.1.20191025 493 10/25/2019
4.1.1.20191021 597 10/23/2019
4.1.1.20191017 1,032 10/18/2019
4.1.0.20190416 78,167 4/16/2019
4.0.1.20190326 8,468 3/26/2019
4.0.0.20190108 4,442 1/8/2019
4.0.0.20181225 1,424 12/25/2018