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Code Packages Releases Wiki Activity

#1672

Browse Source 
updated links in cheatsheet
renamed directory for Mat tutorial 
changed links from willow docs to opencv.itseez.com, from Trac to current Redmine
This commit is contained in:
Alexander Shishkov
2012-03-11 14:35:46 +00:00
parent 805d88a8d2
commit be63ce723f
83 changed files with 499 additions and 499 deletions
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doc/tutorials/introduction/display_image/display_image.rst
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@@ -17,7 +17,7 @@ In this tutorial you will learn how to:
Source Code
===========
Download the source code from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/introduction/display_image/display_image.cpp>`_.
Download the source code from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/introduction/display_image/display_image.cpp>`_.
.. literalinclude:: ../../../../samples/cpp/tutorial_code/introduction/display_image/display_image.cpp
:language: cpp
doc/tutorials/introduction/how_to_write_a_tutorial/how_to_write_a_tutorial.rst
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doc/tutorials/introduction/ios_install/ios_install.rst
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@@ -15,16 +15,16 @@ Getting the cutting-edge OpenCV from SourceForge SVN repository
Launch SVN client and checkout either
a. the current OpenCV snapshot from here: https://code.ros.org/svn/opencv/trunk
a. the current OpenCV snapshot from here: http://code.opencv.org/svn/opencv/trunk
#. or the latest tested OpenCV snapshot from here: http://code.ros.org/svn/opencv/tags/latest_tested_snapshot
#. or the latest tested OpenCV snapshot from here: http://code.opencv.org/svn/opencv/tags/latest_tested_snapshot
In MacOS it can be done using the following command in Terminal:
.. code-block:: bash
cd ~/<my_working _directory>
svn co https://code.ros.org/svn/opencv/trunk
svn co http://code.opencv.org/svn/opencv/trunk
Building OpenCV from source using CMake, using the command line
doc/tutorials/introduction/linux_install/linux_install.rst
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@@ -28,7 +28,7 @@ All the libraries above can be installed via Terminal or by using Synaptic Manag
Getting OpenCV source code
============================
You can use the latest stable OpenCV version available in *sourceforge* or you can grab the latest snapshot from the `SVN repository <http://code.ros.org/svn/opencv/>`_.
You can use the latest stable OpenCV version available in *sourceforge* or you can grab the latest snapshot from the `SVN repository <http://code.opencv.org/svn/opencv/>`_.
Getting the latest stable OpenCV version
------------------------------------------
@@ -43,16 +43,16 @@ Getting the cutting-edge OpenCV from SourceForge SVN repository
Launch SVN client and checkout either
a. the current OpenCV snapshot from here: https://code.ros.org/svn/opencv/trunk
a. the current OpenCV snapshot from here: http://code.opencv.org/svn/opencv/trunk
#. or the latest tested OpenCV snapshot from here: http://code.ros.org/svn/opencv/tags/latest_tested_snapshot
#. or the latest tested OpenCV snapshot from here: http://code.opencv.org/svn/opencv/tags/latest_tested_snapshot
In Ubuntu it can be done using the following command, e.g.:
.. code-block:: bash
cd ~/<my_working _directory>
svn co https://code.ros.org/svn/opencv/trunk
svn co http://code.opencv.org/svn/opencv/trunk
Building OpenCV from source using CMake, using the command line
doc/tutorials/introduction/windows_install/windows_install.rst
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@@ -60,8 +60,8 @@ If you are building your own libraries you can take either the source files from
.. container:: enumeratevisibleitemswithsquare
+ stable and tested build - https://code.ros.org/svn/opencv/branches/2.3 (the number at the end will change with every new realease, so change it to that)
+ development build - https://code.ros.org/svn/opencv/trunk/
+ stable and tested build - http://code.opencv.org/svn/opencv/branches/2.3 (the number at the end will change with every new realease, so change it to that)
+ development build - http://code.opencv.org/svn/opencv/trunk/
While the later one may contain a couple of new and experimental algorithms, performance increases and interface improvements, be aware, that it may also contain many-many bugs. Using the first one is recommended in most of the cases. That is unless you are extending the OpenCV library itself or really need to most up to date version of it.