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removed links to the http://opencv.willowgarage.com/

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Alexander Shishkov 2013-04-04 13:44:28 +04:00
parent 1e9ed14205
commit 382695ba5a
7 changed files with 6 additions and 8 deletions
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2
doc/_themes/blue/layout.html vendored
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@ -183,7 +183,7 @@
{% if theme_lang == 'c' %}
{% endif %}
{% if theme_lang == 'cpp' %}
<li>Try the <a href="http://opencv.willowgarage.com/wiki/Welcome?action=AttachFile&do=get&target=opencv_cheatsheet.pdf">Cheatsheet</a>.</li>
<li>Try the <a href="http://docs.opencv.org/trunk/opencv_cheatsheet.pdf">Cheatsheet</a>.</li>
{% endif %}
{% if theme_lang == 'py' %}
<li>Try the <a href="cookbook.html">Cookbook</a>.</li>

2
doc/tutorials/introduction/linux_eclipse/linux_eclipse.rst
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@ -201,8 +201,6 @@ Assuming that the image to use as the argument would be located in <DisplayImage
V2: Using CMake+OpenCV with Eclipse (plugin CDT)
==================================================
(See the `getting started <http://opencv.willowgarage.com/wiki/Getting_started>` section of the OpenCV Wiki)
Say you have or create a new file, *helloworld.cpp* in a directory called *foo*:
.. code-block:: cpp

2
modules/contrib/doc/facerec/facerec_tutorial.rst
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@ -7,7 +7,7 @@ Face Recognition with OpenCV
Introduction
============
`OpenCV (Open Source Computer Vision) <http://opencv.willowgarage.com>`_ is a popular computer vision library started by `Intel <http://www.intel.com>`_ in 1999. The cross-platform library sets its focus on real-time image processing and includes patent-free implementations of the latest computer vision algorithms. In 2008 `Willow Garage <http://www.willowgarage.com>`_ took over support and OpenCV 2.3.1 now comes with a programming interface to C, C++, `Python <http://www.python.org>`_ and `Android <http://www.android.com>`_. OpenCV is released under a BSD license so it is used in academic projects and commercial products alike.
`OpenCV (Open Source Computer Vision) <http://opencv.org>`_ is a popular computer vision library started by `Intel <http://www.intel.com>`_ in 1999. The cross-platform library sets its focus on real-time image processing and includes patent-free implementations of the latest computer vision algorithms. In 2008 `Willow Garage <http://www.willowgarage.com>`_ took over support and OpenCV 2.3.1 now comes with a programming interface to C, C++, `Python <http://www.python.org>`_ and `Android <http://www.android.com>`_. OpenCV is released under a BSD license so it is used in academic projects and commercial products alike.
OpenCV 2.4 now comes with the very new :ocv:class:`FaceRecognizer` class for face recognition, so you can start experimenting with face recognition right away. This document is the guide I've wished for, when I was working myself into face recognition. It shows you how to perform face recognition with :ocv:class:`FaceRecognizer` in OpenCV (with full source code listings) and gives you an introduction into the algorithms behind. I'll also show how to create the visualizations you can find in many publications, because a lot of people asked for.

2
modules/contrib/doc/facerec/src/CMakeLists.txt
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@ -6,7 +6,7 @@ project(facerec_cpp_samples)
#SET(OpenCV_DIR /path/to/your/opencv/installation)
# packages
find_package(OpenCV REQUIRED) # http://opencv.willowgarage.com
find_package(OpenCV REQUIRED) # http://opencv.org
# probably you should loop through the sample files here
add_executable(facerec_demo facerec_demo.cpp)

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modules/core/doc/intro.rst
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@ -4,7 +4,7 @@ Introduction
.. highlight:: cpp
OpenCV (Open Source Computer Vision Library: http://opencv.willowgarage.com/wiki/) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. The document describes the so-called OpenCV 2.x API, which is essentially a C++ API, as opposite to the C-based OpenCV 1.x API. The latter is described in opencv1x.pdf.
OpenCV (Open Source Computer Vision Library: http://opencv.org) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms. The document describes the so-called OpenCV 2.x API, which is essentially a C++ API, as opposite to the C-based OpenCV 1.x API. The latter is described in opencv1x.pdf.
OpenCV has a modular structure, which means that the package includes several shared or static libraries. The following modules are available:

2
modules/features2d/doc/feature_detection_and_description.rst
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@ -49,7 +49,7 @@ Maximally stable extremal region extractor. ::
};
The class encapsulates all the parameters of the MSER extraction algorithm (see
http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions). Also see http://opencv.willowgarage.com/wiki/documentation/cpp/features2d/MSER for useful comments and parameters description.
http://en.wikipedia.org/wiki/Maximally_stable_extremal_regions). Also see http://code.opencv.org/projects/opencv/wiki/MSER for useful comments and parameters description.
ORB

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samples/cpp/Qt_sample/main.cpp
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@ -33,7 +33,7 @@ static void help()
"It works off of the video: cube4.avi\n"
"Using OpenCV version %s\n" << CV_VERSION << "\n\n"
" 1). This demo is mainly based on work from Javier Barandiaran Martirena\n"
" See this page http://opencv.willowgarage.com/wiki/Posit.\n"
" See this page http://code.opencv.org/projects/opencv/wiki/Posit.\n"
" 2). This is a demo to illustrate how to use **OpenGL Callback**.\n"
" 3). You need Qt binding to compile this sample with OpenGL support enabled.\n"
" 4). The features' detection is very basic and could highly be improved \n"