OpenCv sharp x64

# OpenCvSharp [](https://ci.appveyor.com/project/shimat/opencvsharp/branch/master) [](https://github.com/shimat/opencvsharp/blob/master/LICENSE) Cross platform wrapper of OpenCV for .NET Framework. Old versions of OpenCvSharp is maintained in [opencvsharp_2410](https://github.com/shimat/opencvsharp_2410). ## Installation ### NuGet If you have Visual Studio 2012 or later, it is recommended to use [NuGet](http://www.nuget.org/). Search *'opencvsharp3'* on the NuGet Package Manager. | Package | NuGet | |--------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------| | All-in-one package - bundles native OpenCV DLLs | [](https://badge.fury.io/nu/OpenCvSharp3-AnyCPU) | | Minimum package | [](https://badge.fury.io/nu/OpenCvSharp3-WithoutDll) | | Development Build Package | https://ci.appveyor.com/nuget/opencvsharp | ### Downloads If you do not use NuGet, get DLL files from the [release page](https://github.com/shimat/opencvsharp/releases). ## Requirements * [OpenCV 3.4.1](http://opencv.org/) * [Visual C++ 2017 Redistributable Package](https://go.microsoft.com/fwlink/?LinkId=746572) * [.NET Framework 2.0](http://www.microsoft.com/ja-jp/download/details.aspx?id=1639) or later / [.NET Core 2.0](https://www.microsoft.com/net/download) / [Mono](http://www.mono-project.com/Main_Page) OpenCvSharp may not work on UWP and Unity platform. Please consider using [OpenCV for Unity](https://www.assetstore.unity3d.com/en/#!/content/21088) ## Documents https://shimat.github.io/opencvsharp_docs/index.html ## Usage For more details, see the **[Wiki](https://github.com/shimat/opencvsharp/wiki)** page. ```C# // 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(); } } } ``` ## Features * 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](http://www.mono-project.com/Main_Page). It can run on any platform which [Mono](http://www.mono-project.com/Main_Page) supports (e.g. Linux). ## OpenCvSharp Build Instructions ### Windows - Install Visual Studio 2017 or later - VC++ features are required. - Get all submodules ``` git submodule update --init --recursive ``` - Build tesseract and leptonica using [vcpkg](https://github.com/Microsoft/vcpkg) ``` .\vcpkg install tesseract:x64-windows-static .\vcpkg install tesseract:x86-windows-static .\vcpkg integrate install ``` - Build OpenCvSharp - Open `OpenCvSharp.sln` and build ### Linux Refer to the [Dockerfile](https://github.com/shimat/opencvsharp/blob/master/Dockerfile) and [Wiki pages](https://github.com/shimat/opencvsharp/wiki). ## License Licensed under the [BSD 3-Clause License](https://github.com/shimat/opencvsharp/blob/master/LICENSE).