OpenCvSharp4.Extensions 4.10.0.20241107

.NET 6.0 This package targets .NET 6.0. The package is compatible with this framework or higher. .NET Standard 2.0 This package targets .NET Standard 2.0. The package is compatible with this framework or higher. .NET Framework 4.8 This package targets .NET Framework 4.8. The package is compatible with this framework or higher.
There is a newer version of this package available.
See the version list below for details. 
dotnet add package OpenCvSharp4.Extensions --version 4.10.0.20241107                

                    
                

            
NuGet\Install-Package OpenCvSharp4.Extensions -Version 4.10.0.20241107
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="OpenCvSharp4.Extensions" Version="4.10.0.20241107" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add OpenCvSharp4.Extensions --version 4.10.0.20241107                

                    
                

            
#r "nuget: OpenCvSharp4.Extensions, 4.10.0.20241107"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install OpenCvSharp4.Extensions as a Cake Addin
#addin nuget:?package=OpenCvSharp4.Extensions&version=4.10.0.20241107

// Install OpenCvSharp4.Extensions as a Cake Tool
#tool nuget:?package=OpenCvSharp4.Extensions&version=4.10.0.20241107

OpenCvSharp GDI+ extension library.

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 is compatible.  net6.0-android was computed.  net6.0-ios was computed.  net6.0-maccatalyst was computed.  net6.0-macos was computed.  net6.0-tvos was computed.  net6.0-windows was computed.  net7.0 was computed.  net7.0-android was computed.  net7.0-ios was computed.  net7.0-maccatalyst was computed.  net7.0-macos was computed.  net7.0-tvos was computed.  net7.0-windows was computed.  net8.0 was computed.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed. 
.NET Core netcoreapp2.0 was computed.  netcoreapp2.1 was computed.  netcoreapp2.2 was computed.  netcoreapp3.0 was computed.  netcoreapp3.1 was computed. 
.NET Standard netstandard2.0 is compatible.  netstandard2.1 is compatible. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 is compatible.  net481 was computed. 
MonoAndroid monoandroid was computed. 
MonoMac monomac was computed. 
MonoTouch monotouch was computed. 
Tizen tizen40 was computed.  tizen60 was computed. 
Xamarin.iOS xamarinios was computed. 
Xamarin.Mac xamarinmac was computed. 
Xamarin.TVOS xamarintvos was computed. 
Xamarin.WatchOS xamarinwatchos was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages (30)

Showing the top 5 NuGet packages that depend on OpenCvSharp4.Extensions:

Package Downloads
VL.OpenCV

OpenCV for VL
AutoTestExtras.Core

Automation test extension for API/Web/Mobile/Performance with enabled dotnet core support and other features. This package includes the AutoTestExtras framework assembly, which is referenced by your automation tests.
our1314.work

Package Description
OpenCV4

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being an Apache 2 licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 18 million. The library is used extensively in companies, research groups and by governmental bodies. Along with well-established companies like Google, Yahoo, Microsoft, Intel, IBM, Sony, Honda, Toyota that employ the library, there are many startups such as Applied Minds, VideoSurf, and Zeitera, that make extensive use of OpenCV. OpenCV’s deployed uses span the range from stitching streetview images together, detecting intrusions in surveillance video in Israel, monitoring mine equipment in China, helping robots navigate and pick up objects at Willow Garage, detection of swimming pool drowning accidents in Europe, running interactive art in Spain and New York, checking runways for debris in Turkey, inspecting labels on products in factories around the world on to rapid face detection in Japan. It has C++, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS. OpenCV leans mostly towards real-time vision applications and takes advantage of MMX and SSE instructions when available. A full-featured CUDAand OpenCL interfaces are being actively developed right now. There are over 500 algorithms and about 10 times as many functions that compose or support those algorithms. OpenCV is written natively in C++ and has a templated interface that works seamlessly with STL containers.
BaseLibrary.Photo

Package Description

GitHub repositories (9)

Showing the top 5 popular GitHub repositories that depend on OpenCvSharp4.Extensions:

Repository Stars
babalae/better-genshin-impact
📦BetterGI · 更好的原神 - 自动拾取 | 自动剧情 | 全自动钓鱼(AI) | 全自动七圣召唤 | 自动伐木 | 自动刷本 | 自动采集/挖矿/锄地 | 一条龙 - UI Automation Testing Tools For Genshin Impact
Danily07/Translumo
Advanced real-time screen translator for games, hardcoded subtitles in videos, static text and etc.
dorisoy/Dorisoy.Pan
Dorisoy.Pan 是基于.net core8 的跨平台文档管理系统，使用 MS SQL 2012 / MySql8.0（或更高版本）后端数据库，您可以在 Windows、Linux 或 Mac 上运行它,项目中的所有方法都是异步的,支持令牌基身份验证,项目体系结构遵循著名的软件模式和最佳安全实践。源代码是完全可定制的,热插拔且清晰的体系结构,使开发定制功能和遵循任何业务需求变得容易。 系统使用最新的 Microsoft 技术，高性能稳定性和安全性
shimat/opencvsharp_samples
Kinovea/Kinovea
Video solution for sport analysis. Capture, inspect, compare, annotate and measure technical performances.
Version Downloads Last updated
4.10.0.20241108 14,676 11/8/2024
4.10.0.20241107 806 11/7/2024
4.10.0.20240616 66,388 6/16/2024
4.10.0.20240615 2,362 6/15/2024
4.9.0.20240103 113,679 1/3/2024
4.8.0.20230708 91,886 7/10/2023
4.7.0.20230115 169,187 1/15/2023
4.6.0.20220608 109,145 6/8/2022
4.5.5.20211231 133,481 12/31/2021
4.5.3.20211228 60,701 12/28/2021
4.5.3.20211225 4,224 12/26/2021