Cross platform wrapper of OpenCV for .NET Framework.

Old versions of OpenCvSharp are stored in opencvsharp_2410.

Package	Description	Link
OpenCvSharp4	OpenCvSharp core libraries
OpenCvSharp4.Windows	All-in-one package for Windows (except UWP)
OpenCvSharp4.runtime.win	Native bindings for Windows x64/x86 (except UWP)
OpenCvSharp4.runtime.uwp	Native bindings for UWP (Universal Windows Platform) x64/x86/ARM
OpenCvSharp4.runtime.ubuntu.18.04-x64	Native bindings for Ubuntu 18.04 x64
OpenCvSharp4.runtime.ubuntu.16.04-x64 (beta)	Native bindings for Ubuntu 16.04 x64. This is for Google AppEngine Flexible and made in gcr.io/google-appengine/aspnetcore:2.1 docker image.
(beta packages)	Development Build Package	https://ci.appveyor.com/nuget/opencvsharp

Native binding (OpenCvSharpExtern.dll / libOpenCvSharpExtern.so) is required to work OpenCvSharp. To use OpenCvSharp, you should add both OpenCvSharp4 and OpenCvSharp4.runtime.* packages to your project. Currently, native bindings for Windows, UWP, Ubuntu 18.04 and Ubuntu 16.04 are released.

Packages named OpenCvSharp3-* and OpenCvSharp-* are deprecated.

• OpenCvSharp3-AnyCPU
• OpenCvSharp3-WithoutDll
• OpenCvSharp-AnyCPU
• OpenCvSharp-WithoutDll

Add OpenCvSharp4 and OpenCvSharp4.runtime.win NuGet packages to your project. You can use OpenCvSharp4.Windows instead.

Add OpenCvSharp4 and OpenCvSharp4.runtime.uwp NuGet packages to your project. Note that OpenCvSharp4.runtime.win and OpenCvSharp4.Windows don't work for UWP.

Add OpenCvSharp4 and OpenCvSharp4.runtime.ubuntu.18.04.x64 NuGet packages to your project.

dotnet new console -n ConsoleApp01
cd ConsoleApp01
dotnet add package OpenCvSharp4
dotnet add package OpenCvSharp4.runtime.ubuntu.18.04-x64
# -- edit Program.cs --- # 
dotnet run

Add OpenCvSharp4 and OpenCvSharp4.runtime.ubuntu.16.04.x64 NuGet packages to your project.

If you do not use NuGet, get DLL files from the release page.

• OpenCV 4.2.0 with opencv_contrib
• (Windows)Visual C++ 2019 Redistributable Package
• .NET Framework 4.0 or later / .NET Core 2.0 / Mono

OpenCvSharp may not work on Unity platform. Please consider using OpenCV for Unity

https://github.com/shimat/opencvsharp_samples/

https://shimat.github.io/opencvsharp_docs/index.html

https://riot.im/app/#/room/#opencvsharp:matrix.org

For more details, see samples and Wiki pages.

// Edge detection by Canny algorithm
using OpenCvSharp;

class Program 
{
    static void Main() 
    {
        Mat src = new Mat("lenna.png", ImreadModes.Grayscale);
        // Mat src = Cv2.ImRead("lenna.png", ImreadModes.Grayscale);
        Mat dst = new Mat();
        
        Cv2.Canny(src, dst, 50, 200);
        using (new Window("src image", src)) 
        using (new Window("dst image", dst)) 
        {
            Cv2.WaitKey();
        }
    }
}

• OpenCvSharp is modeled on the native OpenCV C/C++ API style as much as possible.
• Many classes of OpenCvSharp implement IDisposable. There is no need to manage unsafe resources.
• OpenCvSharp does not force object-oriented programming style on you. You can also call native-style OpenCV functions.
• OpenCvSharp provides functions for converting from Mat into Bitmap(GDI+) or WriteableBitmap(WPF).

• Install Visual Studio 2019 or later
  • VC++ features are required.
• Get all submodules

git submodule update --init --recursive

• Build OpenCvSharp
  • Open OpenCvSharp.sln and build

• Build OpenCV with opencv_contrib.
  • https://www.learnopencv.com/install-opencv-4-on-ubuntu-18-04/
• Install .NET Core SDK. https://dotnet.microsoft.com/download/linux-package-manager/ubuntu18-04/sdk-2.1.202
• Get OpenCvSharp source files

git clone https://github.com/shimat/opencvsharp.git
cd opencvsharp
git fetch --all --tags --prune && git checkout ${OPENCVSHARP_VERSION}

• Build native wrapper OpenCvSharpExtern

cd opencvsharp/src
mkdir build
cd build
cmake -D CMAKE_INSTALL_PREFIX=${YOUR_OPENCV_INSTALL_PATH} ..
make -j 
make install

You should add reference to opencvsharp/src/build/OpenCvSharpExtern/libOpenCvSharpExtern.so

export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/home/shimat/opencvsharp/src/build/OpenCvSharpExtern"

• Add OpenCvSharp4 NuGet package to your project

dotnet new console -n ConsoleApp01
cd ConsoleApp01
dotnet add package OpenCvSharp4
# -- edit Program.cs --- # 
dotnet run

Refer to the Dockerfile and Wiki pages.

Licensed under the BSD 3-Clause License.

If you find the OpenCvSharp library useful and would like to show your gratitude by donating, here are some donation options. Thank you.