opencvsharp历程_opencvsharp
OpenCvSharp
Cross platform wrapper of OpenCV for .NET Framework.
Old versions of OpenCvSharp are maintained in opencvsharp_2410.
Installation
NuGet
Package
Description
Link
OpenCvSharp4
OpenCvSharp core libraries
OpenCvSharp4.Windows
All-in-one package for Windows - same as OpenCvSharp3-AnyCPU
OpenCvSharp4.runtime.win
Native bindings for Windows x64/x86
OpenCvSharp4.runtime.ubuntu.18.04-x64
Native bindings for Ubuntu 18.04 x64
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 and Ubuntu 18.04 are released.
Packages named OpenCvSharp3-* and OpenCvSharp-* are deprecated.
Windows
Add OpenCvSharp4 and OpenCvSharp4.runtime.win NuGet packages to your project. You can use OpenCvSharp4.Windows instead.
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
Downloads
If you do not use NuGet, get DLL files from the release page.
Requirements
OpenCvSharp may not work on UWP and Unity platform. Please consider using OpenCV for Unity
Code samples
Documents
Chat
Usage
For more details, see
// 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. It can run on any platform which Mono 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 OpenCvSharp
Open OpenCvSharp.sln and build
Ubuntu 18.04
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
Older Ubuntu
License
Donations
If you find the OpenCvSharp library useful and would like to show your gratitude by donating, here are some donation options. Thank you.
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