See the version list below for details.
dotnet add package Emgu.CV.runtime.windows --version 126.96.36.19962
NuGet\Install-Package Emgu.CV.runtime.windows -Version 188.8.131.5262
<PackageReference Include="Emgu.CV.runtime.windows" Version="184.108.40.20662" />
paket add Emgu.CV.runtime.windows --version 220.127.116.1162
#r "nuget: Emgu.CV.runtime.windows, 18.104.22.16862"
// Install Emgu.CV.runtime.windows as a Cake Addin #addin nuget:?package=Emgu.CV.runtime.windows&version=22.214.171.12462 // Install Emgu.CV.runtime.windows as a Cake Tool #tool nuget:?package=Emgu.CV.runtime.windows&version=126.96.36.19962
This package contains the native runtime of Emgu CV for Windows
|Product||Versions Compatible and additional computed target framework versions.|
|.NET Framework||net461 is compatible. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed.|
NuGet packages (11)
Showing the top 5 NuGet packages that depend on Emgu.CV.runtime.windows:
Library support LDPlayer.
This project is based on paddleocr package Net OCR class library,use ONNX, Including character recognition, text detection , It can be used without network and has high recognition accuracy.
GitHub repositories (8)
Showing the top 5 popular GitHub repositories that depend on Emgu.CV.runtime.windows:
Realtime Diffusion, using Automatic1111 Stable Diffusion API
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, and face-recognition.
MSLA/DLP, file analysis, calibration, repair, conversion and manipulation
Emgu TF is a cross platform .Net wrapper for the Google Tensorflow library. Allows Tensorflow functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython.
This is the 4.2.0 release of Emgu CV. For online documentation please visit