Download And Installation: Difference between revisions

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*Follow [http://sourceforge.net/project/showfiles.php?group_id=216500 this link] to the file server on Source Forge.
*Follow [http://sourceforge.net/project/showfiles.php?group_id=216500 this link] to the file server on Source Forge.
*Download and extract the package '''Emgu.CV.SourceAndExamples-{version}.zip'''
*Download and extract the package '''Emgu.CV.SourceAndExamples-{version}.zip'''
*Go to the Solution folder
**If you are using Visual Studio 2005, browse to VS2005_MonoDevelop
**If you are using Visual Studio 2008, browse to VS2008
*Open Emgu.CV.Example.sln and build the solution. At this point, you should be able to run the example programs.


===Creating a New Project in Visual Studio===
===Creating a New Project in Visual Studio===
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* Download and extract the binary files package '''Emgu.CV.Windows.Binary-{version}.zip''' (They are compiled from [[download-url#Source | source]] on Windows using MsBuild)
* Download and extract the binary files package '''Emgu.CV.Windows.Binary-{version}.zip''' (They are compiled from [[download-url#Source | source]] on Windows using MsBuild)
*Create a new Visual Studio project or use an existing one
*Create a new Visual Studio project or use an existing one
*Add the 3 files <code>zlib.net.dll</code>, <code>Emgu.Utils.dll</code> and <code>Emgu.CV.dll</code> to ''References'' of the project
*Add the 3 files <code>zlib.net.dll</code>, <code>Emgu.Utils.dll</code> and <code>Emgu.CV.dll</code> to ''References'' of the project. If you needs to use the Machine Learning library, include <code>Emgu.CV.ML.dll</code> to ''References'' as well.
*Copy the [[OpenCV]] dll files: <code>cv110.dll</code>, <code>cvaux110.dll</code>, <code>cxcore110.dll</code>, <code>highgui110.dll</code>, <code>ffopencv110.dll</code> and <code>ml110.dll</code> to the execution directory.
*Copy the [[OpenCV]] dll files: <code>cv110.dll</code>, <code>cvaux110.dll</code>, <code>cxcore110.dll</code>, <code>highgui110.dll</code>, <code>ffopencv110.dll</code> and <code>ml110.dll</code> to the execution directory.
*Optionally put the following line
*Optionally put the following lines
<code>
<code>
  using Emgu.CV;
  using Emgu.CV;
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</code>
</code>
in the top of your code to include the Emgu.CV namespace.
in the top of your code to include the Emgu.CV namespace.
If you use the Machine Learning library, you mights wants to include
<code>
using Emgu.CV.ML;
</code>
as well.
*Follow the [[Tutorial]] to learn how to use Emgu CV. The [[Hello_World_in_CSharp | "Hello, World" Example]] is a good starting point.
*Follow the [[Tutorial]] to learn how to use Emgu CV. The [[Hello_World_in_CSharp | "Hello, World" Example]] is a good starting point.



Revision as of 17:41, 29 April 2009

Windows

Getting the Dependency

  • Emgu CV use WCF(Windows Communication Foundation) therefore requires .Net 3.0

Building the Examples

  • Follow this link to the file server on Source Forge.
  • Download and extract the package Emgu.CV.SourceAndExamples-{version}.zip
  • Go to the Solution folder
    • If you are using Visual Studio 2005, browse to VS2005_MonoDevelop
    • If you are using Visual Studio 2008, browse to VS2008
  • Open Emgu.CV.Example.sln and build the solution. At this point, you should be able to run the example programs.

Creating a New Project in Visual Studio

To use the framework in Visual Studio, you need to

  • Download and extract the binary files package Emgu.CV.Windows.Binary-{version}.zip (They are compiled from source on Windows using MsBuild)
  • Create a new Visual Studio project or use an existing one
  • Add the 3 files zlib.net.dll, Emgu.Utils.dll and Emgu.CV.dll to References of the project. If you needs to use the Machine Learning library, include Emgu.CV.ML.dll to References as well.
  • Copy the OpenCV dll files: cv110.dll, cvaux110.dll, cxcore110.dll, highgui110.dll, ffopencv110.dll and ml110.dll to the execution directory.
  • Optionally put the following lines

using Emgu.CV;
using Emgu.CV.Structure;

in the top of your code to include the Emgu.CV namespace. If you use the Machine Learning library, you mights wants to include

using Emgu.CV.ML;

as well.

Linux

Getting the Dependency

  • Mono
    • You need Mono >= 2.2. If you need to compile Emgu CV from source, do NOT use gmcs 2.0.0 / 2.0.1, there is a bug in these two versions.
    • Emgu CV library use WCF (Windows Communication Fundation) and therefore also requires mono-extra.
    • You can install both by running yum install mono-core mono-extra as root. (Please enable rawhide repository in order to get Mono >= 2.2)

Follow this link to access the file server on Source Forge.

  • OpenCV
    • We will build a custom version of OpenCV in the next step. It is recommended to remove any OpenCV package if it is installed on your machine. On Fedora 10, you can remove OpenCV by running yum remove opencv as root

Building Emgu CV from source

To Be Updated