@@ -67,14 +67,14 @@ of them, you need to download and install them on your system.
-[Numpy](http://numpy.scipy.org/) is a scientific computing package for Python. Required for the *Python interface*.
-[Intel Threading Building Blocks (*TBB*)](http://threadingbuildingblocks.org/file.php?fid=77) is used inside OpenCV for parallel code
snippets. Using this will make sure that the OpenCV library will take advantage of all the cores
you have in your systems CPU.
you have in your system's CPU.
-[Intel Integrated Performance Primitives (*IPP*)](http://software.intel.com/en-us/articles/intel-ipp/) may be used to improve the performance
of color conversion, Haar training and DFT functions of the OpenCV library. Watch out, since
this isn't a free service.
-[Intel IPP Asynchronous C/C++](http://software.intel.com/en-us/intel-ipp-preview) is currently focused delivering Intel Graphics
support for advanced image processing and computer vision functions.
- OpenCV offers a somewhat fancier and more useful graphical user interface, than the default one
by using the [Qt framework](http://qt.nokia.com/downloads). For a quick overview of what this has to offer look into the
by using the [Qt framework](http://qt.nokia.com/downloads). For a quick overview of what this has to offer, look into the
documentations *highgui* module, under the *Qt New Functions* section. Version 4.6 or later of
the framework is required.
-[Eigen](http://eigen.tuxfamily.org/index.php?title=Main_Page#Download) is a C++ template library for linear algebra.
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@@ -83,7 +83,7 @@ of them, you need to download and install them on your system.
more of our algorithms to work on the GPUs is a constant effort of the OpenCV team.
-[OpenEXR](http://www.openexr.com/downloads.html) source files are required for the library to work with this high dynamic range (HDR)
image file format.
- The OpenNI Framework contains a set of open source APIs that provide support for natural interaction with devices via methods such as voice command recognition, hand gestures and body
- The OpenNI Framework contains a set of open source APIs that provide support for natural interaction with devices via methods such as voice command recognition, hand gestures, and body
motion tracking. Prebuilt binaries can be found [here](http://structure.io/openni). The source code of [OpenNI](https://github.com/OpenNI/OpenNI) and [OpenNI2](https://github.com/OpenNI/OpenNI2) are also available on Github.
-[Miktex](http://miktex.org/2.9/setup) is the best [TEX](https://secure.wikimedia.org/wikipedia/en/wiki/TeX) implementation on
the Windows OS. It is required to build the *OpenCV documentation*.
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@@ -203,7 +203,7 @@ libraries). If you do not need the support for some of these you can just freely
@code{.bash}
nmake
@endcode
After this set the Qt enviroment variables using the following command on Windows 7:
After this set the Qt environment variables using the following command on Windows 7: