Emgu.CV.Bitmap 4.9.0.5494

dotnet add package Emgu.CV.Bitmap --version 4.9.0.5494
NuGet\Install-Package Emgu.CV.Bitmap -Version 4.9.0.5494
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="Emgu.CV.Bitmap" Version="4.9.0.5494" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Emgu.CV.Bitmap --version 4.9.0.5494
#r "nuget: Emgu.CV.Bitmap, 4.9.0.5494"
#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 Emgu.CV.Bitmap as a Cake Addin
#addin nuget:?package=Emgu.CV.Bitmap&version=4.9.0.5494

// Install Emgu.CV.Bitmap as a Cake Tool
#tool nuget:?package=Emgu.CV.Bitmap&version=4.9.0.5494

About

This package is part of the 4.9.0 release of Emgu CV.

For online documentation please visit https://www.emgu.com/wiki/files/4.9.0/document/index.html

Release note can be found at https://www.emgu.com/wiki/index.php/Version_History#Emgu.CV-4.9.0

How to Use

Bitmap bmp = ... //Some bitmap object
Mat mat = bmp.ToMat() //convert Bitmap to Mat
... // modify on your Mat
Bitmap otherBmp = mat.ToBitmap(); // convert Mat to Bitmap

Supported platforms

  • Windows
  • Linux (require GDI+)
  • Mac OS (require GDI+)

This package do not support mobile platforms. GDI+ is not available on iOS or Android

Product Compatible and additional computed target framework versions.
.NET net5.0 was computed.  net5.0-windows was computed.  net6.0 was computed.  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 was computed. 
.NET Framework net461 was computed.  net462 was computed.  net463 was computed.  net47 was computed.  net471 was computed.  net472 was computed.  net48 was computed.  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 (10)

Showing the top 5 NuGet packages that depend on Emgu.CV.Bitmap:

Package Downloads
Emgu.CV.UI

Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc.

Emgu.CV.Wpf

Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc.

EmguEx

Extension methods and helper classes for Emgu CV.

eslib.CvViewPort

绘制坐标图

Emgu.CV.runtime.maui.mini

This package contains the native runtime of Emgu CV for MAUI

GitHub repositories (8)

Showing the top 5 popular GitHub repositories that depend on Emgu.CV.Bitmap:

Repository Stars
Fictiverse/Redream
Realtime Diffusion, using Automatic1111 Stable Diffusion API
Webreaper/Damselfly
Damselfly is a server-based Photograph Management app. The goal of Damselfly is to index an extremely large collection of images, and allow easy search and retrieval of those images, using metadata such as the IPTC keyword tags, as well as the folder and file names. Damselfly includes support for object/face detection.
wangfreexx/wangfreexx-tianruoocr-cl-paddle
天若ocr开源版本的本地版,采用Chinese-lite和paddleocr识别框架
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
mesutpiskin/face-detection-and-recognition
:hurtrealbad:C# Face detection and recognition with EmguCV. Eigenfaces, Fisherfaces and LBPH algorithms.
Version Downloads Last updated
4.9.0.5494 9,988 4/29/2024
4.8.1.5350 41,021 10/30/2023
4.8.0.5324 15,649 9/11/2023
4.7.0.5276 63,887 4/18/2023
4.6.0.5131 74,920 10/24/2022
4.5.5.4823 80,834 1/10/2022
4.5.4.4788 33,817 10/28/2021
4.5.3.4721 425,335 7/28/2021
4.5.2.4673 11,628 7/2/2021
4.5.1.4349 74,958 1/19/2021
4.4.0.4099 52,869 10/7/2020
4.4.0.4077 3,073 9/28/2020
4.4.0.4061 22,510 9/4/2020

This is the 4.9.0 release of Emgu CV. For online documentation please visit
https://www.emgu.com/wiki/files/4.9.0/document/index.html