OpenCvSharp-4.6.0-20220608.zip

 [](https://github.com/shimat/opencvsharp/actions) [](https://github.com/shimat/opencvsharp/actions) [](https://github.com/shimat/opencvsharp/actions) [](https://github.com/shimat/opencvsharp/blob/master/LICENSE) Old versions of OpenCvSharp are stored in [opencvsharp_2410](https://github.com/shimat/opencvsharp_2410). ## NuGet ### Managed libraries | Package | Description | Link | |---------|-------------|------| |**OpenCvSharp4**| OpenCvSharp core libraries | [](https://badge.fury.io/nu/OpenCvSharp4) | |**OpenCvSharp4.Extensions**| GDI+ Extensions | [](https://badge.fury.io/nu/OpenCvSharp4.Extensions) | |**OpenCvSharp4.WpfExtensions**| WPF Extensions | [](https://badge.fury.io/nu/OpenCvSharp4.WpfExtensions) | |**OpenCvSharp4.Windows**| All-in-one package for Windows (except UWP) | [](https://badge.fury.io/nu/OpenCvSharp4.Windows) | ### Native bindings | Package | Description | Link | |---------|-------------|------| |**OpenCvSharp4.runtime.win**| Native bindings for Windows x64/x86 (except UWP) | [](https://badge.fury.io/nu/OpenCvSharp4.runtime.win) | |**OpenCvSharp4.runtime.uwp**| Native bindings for UWP (Universal Windows Platform) x64/x86/ARM | [](https://badge.fury.io/nu/OpenCvSharp4.runtime.uwp) | |**OpenCvSharp4.runtime.ubuntu.18.04-x64**| Native bindings for Ubuntu 18.04 x64 | [](https://badge.fury.io/nu/OpenCvSharp4.runtime.ubuntu.18.04-x64) | |**OpenCvSharp4.runtime.osx.10.15-x64**| Native bindings for macOS 10.15 x64 | [](https://www.nuget.org/packages/OpenCvSharp4.runtime.osx.10.15-x64/) | |**OpenCvSharp4.runtime.linux-arm**| Native bindings for Linux Arm | [](https://www.nuget.org/packages/OpenCvSharp4.runtime.linux-arm/) | |**OpenCvSharp4.runtime.wasm**| Native bindings for WebAssembly | [](https://www.nuget.org/packages/OpenCvSharp4.runtime.wasm/) | 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 macOS are released. Packages named OpenCvSharp3-* and OpenCvSharp-* are deprecated. > [OpenCvSharp3-AnyCPU](https://www.nuget.org/packages/OpenCvSharp3-AnyCPU/) / [OpenCvSharp3-WithoutDll](https://www.nuget.org/packages/OpenCvSharp3-WithoutDll/) / [OpenCvSharp-AnyCPU](https://www.nuget.org/packages/OpenCvSharp-AnyCPU/) / [OpenCvSharp-WithoutDll](https://www.nuget.org/packages/OpenCvSharp-WithoutDll/) ## Docker images https://hub.docker.com/u/shimat - Ubuntu 18.04 (.NET Core 3.1): [shimat/ubuntu18-dotnetcore3.1-opencv4.5.0](https://hub.docker.com/r/shimat/ubuntu18-dotnetcore3.1-opencv4.5.0) - For Google App Engine Flexible (.NET Core 3.1): [shimat/appengine-aspnetcore3.1-opencv4.5.0](https://hub.docker.com/r/shimat/appengine-aspnetcore3.1-opencv4.5.0) - For AWS Lambda (.NET 5): [shimat/al2-dotnet5-opencv4.5.0](https://hub.docker.com/r/shimat/al2-dotnet5-opencv4.5.0) - Code sample: https://github.com/shimat/opencvsharp_AWSLambdaSample ## Installation ### Windows (except UWP) Add `OpenCvSharp4` and `OpenCvSharp4.runtime.win` NuGet packages to your project. You can use `OpenCvSharp4.Windows` instead. ### UWP Add `OpenCvSharp4` and `OpenCvSharp4.runtime.uwp` NuGet packages to your project. Note that `OpenCvSharp4.runtime.win` and `OpenCvSharp4.Windows` don't work for UWP. ### Ubuntu 18.04 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 ``` ### Google AppEngine Flexible (Ubuntu 16.04) Some Docker images are provided to use OpenCvSharp with AppEngine Flexible. The native binding (libOpenCvSharpExtern) is already built in the docker image and you don't need to worry about it. ``` FROM shimat/appengine-aspnetcore3.1-opencv4.5.0:20201030 ADD ./ /app ENV ASPNETCORE_URLS=http://*:${PORT} WORKDIR /app ENTRYPOINT [ "dotnet", "YourAspNetCoreProject.dll" ] ``` ### Ubuntu 18.04 Docker image You can use the `shimat/ubuntu18-dotnetcore3.1-opencv4.5.0` docker image. This issue may be helpful: https://github.com/shimat/opencvsharp/issues/920 ### Downloads If you do not use NuGet, get DLL files from the [release page](https://github.com/shimat/opencvsharp/releases). ## Target OpenCV * [OpenCV 4.5.](http://opencv.org/) with [opencv_contrib](https://github.com/opencv/opencv_contrib) ## Requirements * [.NET Framework 4.6.1](http://www.microsoft.com/ja-jp/download/details.aspx?id=1639) / [.NET Core 2.0](https://www.microsoft.com/net/download) / [Mono](http://www.mono-project.com/Main_Page) * (Windows) [Visual C++ 2019 Redistributable Package](https://support.microsoft.com/en-us/help/2977003/the-latest-supported-visual-c-downloads) * (Windows Server) Media Foundation ``` PS1> Install-WindowsFeature Server-Media-Foundation ``` * (Ubuntu, Mac) You must pre-install all the dependency packages needed to build OpenCV. Many packages such as libjpeg must be installed in order to work OpenCV. https://www.learnopencv.com/install-opencv-4-on-ubuntu-18-04/ **OpenCvSharp won't work on Unity and Xamarin platform.** For Unity, please consider using [OpenCV for Unity](https://assetstore.unity.com/packages/tools/integration/opencv-for-unity-21088) or some other solutions. **OpenCvSharp does not support CUDA.** If you want to use the CUDA features, you need to customize the native bindings yourself. ## Usage For more details, see **[samples](https://github.com/shimat/opencvsharp_samples/)** and **[Wiki](https://github.com/shimat/opencvsharp/wiki)** pages. **Always remember to release Mat instances! The `using` syntax is useful.** ```C# // C# 8 // Edge detection by Canny algorithm using OpenCvSharp; class Program { static void Main() { 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(); } } } ``` As mentioned above, objects of classes, such as Mat and MatExpr, have unmanaged resources and need to be manually released by calling the Dispose() method. Worst of all, the +, -, *, and other operators create new objects each time, and these objects need to be disposed, or there will be memory leaks. Despite having the using syntax, the code still looks very verbose. Therefore, a ResourcesTracker cla