Magick.NET-Q16-x86.Sample 7.5.0.1 The ID prefix of this package has been reserved for one of the owners of this package by NuGet.org. Prefix Reserved

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Install-Package Magick.NET-Q16-x86.Sample -Version 7.5.0.1
dotnet add package Magick.NET-Q16-x86.Sample --version 7.5.0.1
<PackageReference Include="Magick.NET-Q16-x86.Sample" Version="7.5.0.1" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
paket add Magick.NET-Q16-x86.Sample --version 7.5.0.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: Magick.NET-Q16-x86.Sample, 7.5.0.1"
#r directive can be used in F# Interactive, C# scripting and .NET Interactive. Copy this into the interactive tool or source code of the script to reference the package.
// Install Magick.NET-Q16-x86.Sample as a Cake Addin
#addin nuget:?package=Magick.NET-Q16-x86.Sample&version=7.5.0.1

// Install Magick.NET-Q16-x86.Sample as a Cake Tool
#tool nuget:?package=Magick.NET-Q16-x86.Sample&version=7.5.0.1
The NuGet Team does not provide support for this client. Please contact its maintainers for support.

This package contains samples that demonstrate the use of the Magick.NET library.

There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

NuGet packages

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GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on Magick.NET-Q16-x86.Sample:

Repository Stars
robela/OCR-Invoice
a console application that would run on Windows server to scan user’s Bill and Receipts, which are either captured by camera or in form of an electronic file like pdf etc. 1. All the invoices/receipts will be uploaded on server in a folder 2. The uploaded invoices/receipts will be scanned by OCR app and extract following information from the file and put them in database table - Vendor/Party Name - Invoice date - Tax amount - Total amount - Line items(Item Name, Item Qty, Item rate, Item Tax & Item Amount) 3. The processing of OCR should be done with 90% of accuracy 4. Application designed be able to handle the noise & quality of the uploaded invoice images.
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