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The Accord.NET Framework | ||
http://accord-framework.net | ||
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The Accord.NET Framework provides machine learning, mathematics, statistics, | ||
computer vision, computer audition, and several scientific computing related | ||
methods and techniques to .NET. The project extends the popular AForge.NET | ||
Framework providing a more complete scientific computing environment. | ||
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The GitHub repository at https://github.com/accord-net/framework is the official | ||
home of the project after release 2.10 was finished. As such, new releases will | ||
only be made available on this repository. | ||
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Installing the framework | ||
------------------------ | ||
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0) Download the framework through NuGet: | ||
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https://www.nuget.org/packages?q=accord.net | ||
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or, alternatively, perform a manual install by following | ||
the steps described below. | ||
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1) Download the AForge.NET Framework 2.2.5 from | ||
https://code.google.com/p/aforge/downloads/list | ||
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2) Download the Accord.NET Framework from | ||
https://github.com/accord-net/framework/releases | ||
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3) Install both frameworks as described in the Getting Started Guide | ||
http://accord-framework.net/get-started.html | ||
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4) If you used the automated installers, the framework binaries | ||
should already be available in the Add Reference dialog from | ||
Visual Studio. If you installed using the zip packages, you'll | ||
need to add references manually to your projects. | ||
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5) Upon installation, several sample applications will be available | ||
by default at | ||
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C:\Program Files (x86)\Accord.NET\Framework\Samples | ||
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You can open the Samples.sln solution on Visual Studio to check | ||
the sample applications for examples. Complete documentation is | ||
also available online at | ||
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http://accord-framework.net/docs/Index.html | ||
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Obtaining support and documentation | ||
----------------------------------- | ||
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1) Check the reference manual at: http://accord-framework.net/docs/Index.html | ||
2) Visit the discussion group at: https://groups.google.com/forum/#!forum/accord-net | ||
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The Accord.NET Framework | ||
http://accord-framework.net | ||
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The Accord.NET Framework provides machine learning, mathematics, statistics, | ||
computer vision, computer audition, and several scientific computing related | ||
methods and techniques to .NET. The project extends the popular AForge.NET | ||
Framework providing a more complete scientific computing environment. | ||
|
||
The GitHub repository at https://github.com/accord-net/framework is the official | ||
home of the project after release 2.10 was finished. As such, new releases will | ||
only be made available on this repository. | ||
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||
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Installing the framework | ||
------------------------ | ||
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1) Download the framework through NuGet: | ||
https://www.nuget.org/packages?q=accord.net | ||
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2) Follow the Getting Started Guide | ||
http://accord-framework.net/get-started.html | ||
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3) Check the sample applications and find one that is related to what you need. | ||
http://accord-framework.net/samples.html | ||
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If you have installed the framework using the installer, the samples will be at | ||
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C:\Program Files (x86)\Accord.NET\Framework\Samples | ||
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You can open the Samples.sln solution on Visual Studio and check the sample | ||
applications for examples. Complete documentation is also available online at | ||
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http://accord-framework.net/docs/Index.html | ||
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Building with Visual Studio | ||
--------------------------- | ||
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1) Clone the repository (SmartGit is the best Git tool available for Windows) | ||
2) Open Sources/Accord.NET.sln in Visual Studio (works with Express versions) | ||
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Building in Linux with Mono | ||
--------------------------- | ||
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# Install Mono | ||
sudo apt-get install mono-complete monodevelop monodevelop-nunit | ||
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# Clone the repository | ||
git clone https://github.com/accord-net/framework.git | ||
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# Enter the directory | ||
cd framework | ||
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# Build the framework solution using Mono | ||
mdtool build -c:"NET40" Sources/Accord.NET.Mono.sln | ||
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