Cross platform wrapper of OpenCV for .NET Framework.

Old versions of OpenCvSharp is maintained in opencvsharp_2410.

If you have Visual Studio 2012 or later, it is recommended to use NuGet. Search 'opencvsharp3' on the NuGet Package Manager.

Package	NuGet
All-in-one package - bundles native OpenCV DLLs
Minimum package
Development Build Package	https://ci.appveyor.com/nuget/opencvsharp

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

• OpenCV 3.4.1
• Visual C++ 2017 Redistributable Package
• .NET Framework 2.0 or later / .NET Core 2.0 / Mono

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

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

For more details, see the Wiki page.

// 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/IplImage into Bitmap(GDI+) or WriteableBitmap(WPF).
• OpenCvSharp can work on Mono. It can run on any platform which Mono supports (e.g. Linux).

• Install Visual Studio 2017 or later
  • VC++ features are required.
• Get all submodules

git submodule update --init --recursive

• Build tesseract and leptonica
  • Open tesseract/tesseract.sln and build
• Build OpenCvSharp
  • Open OpenCvSharp.sln and build

Licensed under the BSD 3-Clause License.