PaddleOCRSharp 4.4.0.1

dotnet add package PaddleOCRSharp --version 4.4.0.1                
NuGet\Install-Package PaddleOCRSharp -Version 4.4.0.1                
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="PaddleOCRSharp" Version="4.4.0.1" />                
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add PaddleOCRSharp --version 4.4.0.1                
#r "nuget: PaddleOCRSharp, 4.4.0.1"                
#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 PaddleOCRSharp as a Cake Addin
#addin nuget:?package=PaddleOCRSharp&version=4.4.0.1

// Install PaddleOCRSharp as a Cake Tool
#tool nuget:?package=PaddleOCRSharp&version=4.4.0.1                

This project is based on Baidu PaddleOCR, Including character recognition, text detection and table OCR recognition based on statistical analysis of text detection results. It can be used without network and has high recognition accuracy.

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 is compatible.  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 is compatible.  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 net35 is compatible.  net40 is compatible.  net403 was computed.  net45 is compatible.  net451 was computed.  net452 was computed.  net46 was computed.  net461 is compatible.  net462 was computed.  net463 was computed.  net47 is compatible.  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 (7)

Showing the top 5 NuGet packages that depend on PaddleOCRSharp:

Package Downloads
Starxcjy.DataAccess.CodeReader

图像处理库

Docimax.OCR.Core

Package Description

RG3.PF.MklPaddleOCR

1、【RG3.PF.MklPaddleOCR】(数学计算函数和方法等) 5、使用请到github获取 RG3.PF.WebApp.Host 6、6.0.0.77开始,nodeserice迁移到RG3.PF.PinYinScriptEngineCliWrap 7、https://github.com/MKL-NET/MKL.NET 8、https://gitee.com/raoyutian/paddle-ocrsharp 9、https://gitee.com/paddlepaddle/PaddleOCR

PaddleOcrCutPic

兼容4.7

MHCV

对常用CV(计算机视觉)库的进一步封装,简化操作,集成常用方法。 目前包含:PaddleOCRSharp

GitHub repositories (4)

Showing the top 4 popular GitHub repositories that depend on PaddleOCRSharp:

Repository Stars
ZGGSONG/STranslate
A ready-to-use, ready-to-go translation ocr tool developed by WPF/WPF 开发的一款即开即用、即用即走的翻译、OCR工具
raoyutian/PaddleOCRSharp
PaddleOCRSarp是一个基于百度飞桨PaddleOCR的C++代码修改并封装的.NET的OCR工具类库。包含文本识别、文本检测、表格识别功能。本项目针对小图识别不准的情况下做了优化,比飞桨原代码识别准确率有所提高。 包含总模型仅8.6M的超轻量级中文OCR,单模型支持中英文数字组合识别、竖排文本识别、长文本识别。同时支持多种文本检测。
xksoft/OcrHelper
桌面图像实时转文字工具
laosanyuan/HuoHuan
互联网微信群聊二维码获取工具
Version Downloads Last updated
4.4.0.1 3,814 8/14/2024
4.3.0 6,550 5/23/2024
4.2.0 4,313 3/26/2024
4.1.0 5,675 1/10/2024
4.0.2 10,479 11/2/2023
3.1.1 3,515 9/15/2023
3.1.0 13,265 5/17/2023
3.0.0 7,089 4/3/2023