OpenCvSharp4.Windows 4.13.0.20260302 

dotnet add package OpenCvSharp4.Windows --version 4.13.0.20260302
                    


                    

                
NuGet\Install-Package OpenCvSharp4.Windows -Version 4.13.0.20260302
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="4.13.0.20260302" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="OpenCvSharp4.Windows" Version="4.13.0.20260302" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="OpenCvSharp4.Windows" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add OpenCvSharp4.Windows --version 4.13.0.20260302
                    


                    

                
#r "nuget: OpenCvSharp4.Windows, 4.13.0.20260302"
#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. 
#:package OpenCvSharp4.Windows@4.13.0.20260302
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=OpenCvSharp4.Windows&version=4.13.0.20260302
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=OpenCvSharp4.Windows&version=4.13.0.20260302
                    


                            Install as a Cake Tool

OpenCvSharp

A cross-platform .NET wrapper for OpenCV, providing image processing and computer vision functionality.

Supported Platforms

Platform Target Framework
.NET 8.0 or later net8.0
.NET Standard 2.1 netstandard2.1
.NET Standard 2.0 netstandard2.0
.NET Framework 4.6.1+ via netstandard2.0
.NET Framework 4.8 direct target (WpfExtensions only)

Target OpenCV version: 4.13.0 (with opencv_contrib)

Quick Start

Windows

dotnet add package OpenCvSharp4.Windows

Linux / Ubuntu

dotnet add package OpenCvSharp4
dotnet add package OpenCvSharp4.official.runtime.linux-x64

For more installation options, see Installation on GitHub.

Requirements

Windows

Linux (Ubuntu and other distributions)

Pre-install the dependency packages needed for OpenCV. Many packages such as libjpeg must be present for OpenCV to work.
See: OpenCV Linux install guide

Slim Profile

The slim runtime packages (OpenCvSharp4.Windows.Slim, OpenCvSharp4.official.runtime.linux-x64.slim, etc.) bundle a smaller native library:

Modules
Enabled core, imgproc, imgcodecs, calib3d, features2d, flann, objdetect, photo
Disabled contrib, dnn, ml, video, videoio, highgui, stitching, barcode

Usage

Always release Mat and other IDisposable resources using the using statement:

using OpenCvSharp;

// Edge detection using Canny algorithm
using var src = new Mat("lenna.png", ImreadModes.Grayscale);
using var dst = new Mat();

Cv2.Canny(src, dst, 50, 200);
using (new Window("src image", src))
using (new Window("dst image", dst))
{
    Cv2.WaitKey();
}

For complex pipelines, use ResourcesTracker to manage multiple resources automatically:

using var t = new ResourcesTracker();

var src = t.T(new Mat("lenna.png", ImreadModes.Grayscale));
var dst = t.NewMat();
Cv2.Canny(src, dst, 50, 200);
var blurred = t.T(dst.Blur(new Size(3, 3)));
t.T(new Window("src image", src));
t.T(new Window("dst image", blurred));
Cv2.WaitKey();

Note: OpenCvSharp does not support Unity, Xamarin, CUDA or UWP.

Resources

There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

NuGet packages (48)

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

Package Downloads
RatEye

Image processing library for Escape from Tarkov
Starxcjy.DataAccess.CodeReader

图像处理库
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.
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 (1)

Showing the top 1 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
Version Downloads Last Updated
4.13.0.20260302 6,387 3/2/2026
4.13.0.20260228 369 2/28/2026
4.13.0.20260226 562 2/26/2026
4.13.0.20260225 458 2/25/2026
4.13.0.20260222 825 2/22/2026
4.13.0.20260214 1,703 2/14/2026
4.13.0.20260213 541 2/13/2026
4.13.0.20260211 619 2/11/2026
4.11.0.20250507 106,861 5/7/2025
4.11.0.20250506 1,089 5/6/2025
4.10.0.20241108 141,424 11/8/2024
4.10.0.20241107 1,311 11/7/2024
4.10.0.20240616 99,511 6/16/2024
4.10.0.20240615 2,315 6/15/2024
4.9.0.20240103 134,183 1/3/2024
4.8.0.20230708 439,976 7/10/2023
4.7.0.20230115 259,650 1/15/2023
4.6.0.20220608 180,903 6/8/2022
4.5.5.20211231 110,695 12/31/2021
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