Paddle.Runtime.win_x64
3.2.2
dotnet add package Paddle.Runtime.win_x64 --version 3.2.2
NuGet\Install-Package Paddle.Runtime.win_x64 -Version 3.2.2
<PackageReference Include="Paddle.Runtime.win_x64" Version="3.2.2" />
<PackageVersion Include="Paddle.Runtime.win_x64" Version="3.2.2" />
<PackageReference Include="Paddle.Runtime.win_x64" />
paket add Paddle.Runtime.win_x64 --version 3.2.2
#r "nuget: Paddle.Runtime.win_x64, 3.2.2"
#:package Paddle.Runtime.win_x64@3.2.2
#addin nuget:?package=Paddle.Runtime.win_x64&version=3.2.2
#tool nuget:?package=Paddle.Runtime.win_x64&version=3.2.2
The CPU runtime of Paddle on the Windows platform, Fixed some bugs of Paddle and optimized inference performance
Learn more about Target Frameworks and .NET Standard.
This package has no dependencies.
NuGet packages (8)
Showing the top 5 NuGet packages that depend on Paddle.Runtime.win_x64:
| Package | Downloads |
|---|---|
|
PaddleOCRSharp
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. |
|
|
METU
2025.2510.12.13.1 |
|
|
PaddleSegSharp
This project is based on PaddleSeg package Net class library. PaddleSeg is an end-to-end high-efficent development toolkit for image segmentation based on PaddlePaddle, which helps both developers and researchers in the whole process of designing segmentation models, training models, optimizing performance and inference speed, and deploying models. A lot of well-trained models and various real-world applications in both industry and academia help users conveniently build hands-on experiences in image segmentation. |
|
|
ObtSDK
AUTOMATION Android SDK By OBT |
|
|
PaddleClasSharp
This project is based on Baidu PaddleClas |
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on Paddle.Runtime.win_x64:
| Repository | Stars |
|---|---|
|
raoyutian/PaddleOCRSharp
PaddleOCRSharp是一个.NET的OCR工具本地类库,可离线使用。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。
|