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

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See the version list below for details.
Install-Package OpenCvSharp4.Windows -Version
dotnet add package OpenCvSharp4.Windows --version
<PackageReference Include="OpenCvSharp4.Windows" Version="" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add OpenCvSharp4.Windows --version
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NuGet packages (5)

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

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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.
lightweight wrapper for the great lensfun library
Evil DICOM with a twist: OpenCV matrices and computer vision components. Useful for advanced operations with DICOM files.
Package Description

GitHub repositories (4)

Showing the top 4 popular GitHub repositories that depend on OpenCvSharp4.Windows:

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A collection of small samples using MaterialDesignInXaml.
.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#.
A C# DICOM Library

Version History

Version Downloads Last updated 180 9/16/2020 4,714 7/25/2020 1,821 7/8/2020 4,779 5/27/2020 7,243 4/21/2020 3,307 4/5/2020 11,903 2/8/2020 5,987 1/8/2020 2,631 12/23/2019 1,876 12/17/2019 8,949 11/10/2019 3,064 10/27/2019 231 10/25/2019 324 10/23/2019 537 10/18/2019 23,546 4/16/2019 2,609 3/26/2019 3,454 1/8/2019 654 12/25/2018