Sense.Algorithm.Silicon by: Sense.Algorithm.Silicon

1、修改算法处理滑窗检测

Sense.Calibration by: Sense.Calibration

初始版本

Sense.FSI.Socket by: Sense.FSI.Socket

Package Description

Sense.Socket.AOIClient by: Sense.Socket.AOIClient

优化AOI初始化的速度，只传输用于生产的料

Serilog by: Serilog Contributors

Simple .NET logging with fully-structured events

Serilog.Formatting.Compact by: Serilog Contributors

A simple, compact JSON-based event format for Serilog.

Serilog.Settings.Configuration by: Serilog Contributors

Microsoft.Extensions.Configuration (appsettings.json) support for Serilog.

Serilog.Sinks.Async by: Jezz Santos Serilog Contributors

Asynchronous sink wrapper for Serilog.

Serilog.Sinks.Console by: Serilog Contributors

A Serilog sink that writes log events to the console/terminal.

Serilog.Sinks.Debug by: Serilog Contributors

A Serilog sink that writes log events to the debug output window.

Serilog.Sinks.File by: Serilog Contributors

Write Serilog events to text files in plain or JSON format.

SevenZipSharp by: markhor

Managed 7-zip library written in C# that provides data (self-)extraction and compression (all 7-zip formats are supported). It wraps 7z.dll or any compatible one and makes use of LZMA SDK.

SevenZipSharp.Interop by: Luuk Sommers

This package installs the interop libraries needed for SevenZipSharp. It are the original compiled versions from 7-zip.org version 19.00. This way you don't need to have 7-zip installed to make use of SevenZipSharp. This package copies the dll's to the x86 and x64 directories in the output directory (Using MSBuild Targets). Please check the project site to setup SevenZipSharp's SetLibraryPath

SharpCompress by: Adam Hathcock

SharpCompress is a compression library for NET Standard 1.0 that can unrar, decompress 7zip, decompress xz, zip/unzip, tar/untar lzip/unlzip, bzip2/unbzip2 and gzip/ungzip with forward-only reading and file random access APIs. Write support for zip/tar/bzip2/gzip is implemented.

Sharpkit.Learn by: Sergey Zyuzin

Machine learning library for .Net and Mono. Currently has Linear Regression, Logistic Regression, Ridge Regression/Classifier, Svm classifier. Initially it is port of popular Scikit-learn machine learning python library and has very close design. Sharpkit.Learn is based on the state of the art algorithm implementations and uses liblinear, libsvm, Math.Net etc. Various BLAS providers like MKL can be used to speed up the computation. Both dense and sparse matrices are supported.

SharpZipLib by: ICSharpCode

SharpZipLib (#ziplib, formerly NZipLib) is a compression library for Zip, GZip, BZip2, and Tar written entirely in C# for .NET. It is implemented as an assembly (installable in the GAC), and thus can easily be incorporated into other projects (in any .NET language)

SixLabors.ImageSharp by: Six Labors and contributors

A new, fully featured, fully managed, cross-platform, 2D graphics API for .NET

SkiaSharp by: Microsoft

SkiaSharp is a cross-platform 2D graphics API for .NET platforms based on Google's Skia Graphics Library. It provides a comprehensive 2D API that can be used across mobile, server and desktop models to render images.

SkiaSharp.NativeAssets.macOS by: Microsoft

SkiaSharp is a cross-platform 2D graphics API for .NET platforms based on Google's Skia Graphics Library. It provides a comprehensive 2D API that can be used across mobile, server and desktop models to render images.

SkiaSharp.NativeAssets.Win32 by: Microsoft

SkiaSharp is a cross-platform 2D graphics API for .NET platforms based on Google's Skia Graphics Library. It provides a comprehensive 2D API that can be used across mobile, server and desktop models to render images.