#1672

updated links in cheatsheet
renamed directory for Mat tutorial 
changed links from willow docs to opencv.itseez.com, from Trac to current Redmine

doc/_themes/blue/layout.html

@@ -24,7 +24,7 @@
                   {% endif %}
                   <li>Ask a question in the <a href="http://tech.groups.yahoo.com/group/OpenCV/">user group/mailing list</a>.</li>
                   <li>If you think something is missing or wrong in the documentation,
-                  please file a <a href="https://code.ros.org/trac/opencv/wiki">bug report</a>.</li>
+                  please file a <a href="http://code.opencv.org">bug report</a>.</li>
               </ul>
           </div>
       {%- if not embedded %}{% if not theme_nosidebar|tobool %}

doc/tutorials/core/basic_geometric_drawing/basic_geometric_drawing.rst

@@ -56,7 +56,7 @@ Scalar
 
 Code
 =====
-* This code is in your OpenCV sample folder. Otherwise you can grab it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/core/Matrix/Drawing_1.cpp>`_
+* This code is in your OpenCV sample folder. Otherwise you can grab it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/core/Matrix/Drawing_1.cpp>`_
 
 Explanation
 =============

doc/tutorials/core/random_generator_and_text/random_generator_and_text.rst

@@ -22,7 +22,7 @@ Code
  
    * In this tutorial, we intend to use *random* values for the drawing parameters. Also, we intend to populate our image with a big number of geometric figures. Since we will be initializing them in a random fashion, this process will be automatic and made by using *loops* .
 
-   * This code is in your OpenCV sample folder. Otherwise you can grab it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/core/Matrix/Drawing_2.cpp>`_ .
+   * This code is in your OpenCV sample folder. Otherwise you can grab it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/core/Matrix/Drawing_2.cpp>`_ .
 
 Explanation
 ============

doc/tutorials/core/table_of_content_core/table_of_content_core.rst

@@ -209,7 +209,7 @@ Here you will learn the about the basic building blocks of the library. A must r
 .. toctree::
    :hidden:
    
-   ../mat - the basic image container/mat - the basic image container
+   ../mat_the_basic_image_container/mat_the_basic_image_container
    ../how_to_scan_images/how_to_scan_images
    ../mat-mask-operations/mat-mask-operations
    ../adding_images/adding_images

doc/tutorials/features2d/feature_description/feature_description.rst

@@ -23,7 +23,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/features2d/feature_detection/feature_detection.rst

@@ -22,7 +22,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/features2D/SURF_detector.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/features2D/SURF_detector.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.rst

@@ -19,7 +19,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/features2D/SURF_FlannMatcher.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/features2D/SURF_FlannMatcher.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/features2d/feature_homography/feature_homography.rst

@@ -20,7 +20,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/features2D/SURF_Homography.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/features2D/SURF_Homography.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/features2d/trackingmotion/corner_subpixeles/corner_subpixeles.rst

@@ -19,7 +19,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/features2d/trackingmotion/generic_corner_detector/generic_corner_detector.rst

@@ -20,7 +20,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/features2d/trackingmotion/good_features_to_track/good_features_to_track.rst

@@ -18,7 +18,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/features2d/trackingmotion/harris_detector/harris_detector.rst

@@ -151,7 +151,7 @@ How does it work?
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/erosion_dilatation/erosion_dilatation.rst

@@ -70,7 +70,7 @@ Erosion
 Code
 ======
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/gausian_median_blur_bilateral_filter/gausian_median_blur_bilateral_filter.rst

@@ -115,7 +115,7 @@ Code
         * Applies 4 different kinds of filters (explained in Theory) and show the filtered images sequentially
 
    * **Downloadable code**:
-     Click `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgProc/Smoothing.cpp>`_
+     Click `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgProc/Smoothing.cpp>`_
 
    * **Code at glance:**
 

doc/tutorials/imgproc/histograms/back_projection/back_projection.rst

@@ -99,9 +99,9 @@ Code
 
    * **Downloadable code**:
 
-      a. Click `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo1.cpp>`_ for the basic version (explained in this tutorial). 
-      b. For stuff slightly fancier (using H-S histograms and floodFill to define a mask for the skin area) you can check the `improved demo <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp>`_ 
-      c. ...or you can always check out the classical `camshiftdemo <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/camshiftdemo.cpp>`_ in samples.
+      a. Click `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo1.cpp>`_ for the basic version (explained in this tutorial). 
+      b. For stuff slightly fancier (using H-S histograms and floodFill to define a mask for the skin area) you can check the `improved demo <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp>`_ 
+      c. ...or you can always check out the classical `camshiftdemo <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/camshiftdemo.cpp>`_ in samples.
 
    * **Code at glance:**
 

doc/tutorials/imgproc/histograms/histogram_calculation/histogram_calculation.rst

@@ -82,7 +82,7 @@ Code
         * Plot the three histograms in a window
 
    * **Downloadable code**:
-     Click `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp>`_
+     Click `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp>`_
 
    * **Code at glance:**
 

doc/tutorials/imgproc/histograms/histogram_comparison/histogram_comparison.rst

@@ -80,7 +80,7 @@ Code
         * Display the numerical matching parameters obtained.
 
    * **Downloadable code**: 
-     Click `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp>`_ 
+     Click `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp>`_ 
 
    * **Code at glance:**
 

doc/tutorials/imgproc/histograms/histogram_equalization/histogram_equalization.rst

@@ -83,7 +83,7 @@ Code
         * Display the source and equalized images in a window.
 
    * **Downloadable code**:
-     Click `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp>`_
+     Click `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp>`_
 
    * **Code at glance:**
 

doc/tutorials/imgproc/histograms/template_matching/template_matching.rst

@@ -125,7 +125,7 @@ Code
         * Draw a rectangle around the area corresponding to the highest match
 
    * **Downloadable code**:
-     Click `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp>`_
+     Click `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp>`_
 
    * **Code at glance:**
 

doc/tutorials/imgproc/imgtrans/canny_detector/canny_detector.rst

@@ -86,7 +86,7 @@ Code
    * Applies the *Canny Detector* and generates a **mask** (bright lines representing the edges on a black background).
    * Applies the mask obtained on the original image and display it in a window.
  
-#. The tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp>`_
+#. The tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp>`_
 
 .. code-block::  cpp
 

doc/tutorials/imgproc/imgtrans/copyMakeBorder/copyMakeBorder.rst

@@ -47,7 +47,7 @@ Code
      The user chooses either option by pressing 'c' (constant) or 'r' (replicate)
    * The program finishes when the user presses 'ESC'
  
-#. The tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp>`_
+#. The tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp>`_
 
 
 .. code-block:: cpp 

doc/tutorials/imgproc/imgtrans/filter_2d/filter_2d.rst

@@ -72,7 +72,7 @@ Code
 
    * The filter output (with each kernel) will be shown during 500 milliseconds
 
-#. The tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/filter2D_demo.cpp>`_
+#. The tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/filter2D_demo.cpp>`_
 
 
 .. code-block:: cpp 

doc/tutorials/imgproc/imgtrans/hough_circle/hough_circle.rst

@@ -40,9 +40,9 @@ Code
    * Display the detected circle in a window.
 
    .. |TutorialHoughCirclesSimpleDownload| replace:: here
-   .. _TutorialHoughCirclesSimpleDownload: https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/houghlines.cpp
+   .. _TutorialHoughCirclesSimpleDownload: http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/houghlines.cpp
    .. |TutorialHoughCirclesFancyDownload| replace:: here
-   .. _TutorialHoughCirclesFancyDownload: https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/HoughCircle_Demo.cpp
+   .. _TutorialHoughCirclesFancyDownload: http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/HoughCircle_Demo.cpp
 
 #. The sample code that we will explain can be downloaded from |TutorialHoughCirclesSimpleDownload|_. A slightly fancier version (which shows both Hough standard and probabilistic with trackbars for changing the threshold values) can be found |TutorialHoughCirclesFancyDownload|_.
 

doc/tutorials/imgproc/imgtrans/hough_lines/hough_lines.rst

@@ -89,9 +89,9 @@ Code
 ======
 
 .. |TutorialHoughLinesSimpleDownload| replace:: here
-.. _TutorialHoughLinesSimpleDownload: https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/houghlines.cpp
+.. _TutorialHoughLinesSimpleDownload: http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/houghlines.cpp
 .. |TutorialHoughLinesFancyDownload| replace:: here
-.. _TutorialHoughLinesFancyDownload: https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp
+.. _TutorialHoughLinesFancyDownload: http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp
 
 
 #. **What does this program do?**

doc/tutorials/imgproc/imgtrans/laplace_operator/laplace_operator.rst

@@ -55,7 +55,7 @@ Code
    * Applies a Laplacian operator to the grayscale image and stores the output image
    * Display the result in a window
 
-#. The tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp>`_
+#. The tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp>`_
 
 .. code-block:: cpp
 

doc/tutorials/imgproc/imgtrans/remap/remap.rst

@@ -59,7 +59,7 @@ Code
    * Each second, apply 1 of 4 different remapping processes to the image and display them indefinitely in a window.
    * Wait for the user to exit the program
  
-#. The tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp>`_
+#. The tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp>`_
 
 .. code-block:: cpp
 

doc/tutorials/imgproc/imgtrans/sobel_derivatives/sobel_derivatives.rst

@@ -121,7 +121,7 @@ Code
  
    * Applies the *Sobel Operator* and generates as output an image with the detected *edges* bright on a darker background.
  
-#. The tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp>`_
+#. The tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/imgtrans/warp_affine/warp_affine.rst

@@ -93,7 +93,7 @@ Code
    * Applies a Rotation to the image after being transformed. This rotation is with respect to the image center
    * Waits until the user exits the program
  
-#. The tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/Geometric_Transforms_Demo.cpp>`_
+#. The tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgTrans/Geometric_Transforms_Demo.cpp>`_
 
 .. code-block:: cpp
 

doc/tutorials/imgproc/opening_closing_hats/opening_closing_hats.rst

@@ -111,7 +111,7 @@ Black Hat
 Code
 ======
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/pyramids/pyramids.rst

@@ -80,7 +80,7 @@ Gaussian Pyramid
 Code
 ======
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgProc/Pyramids.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgProc/Pyramids.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/shapedescriptors/bounding_rects_circles/bounding_rects_circles.rst

@@ -21,7 +21,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/shapedescriptors/bounding_rotated_ellipses/bounding_rotated_ellipses.rst

@@ -21,7 +21,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/shapedescriptors/find_contours/find_contours.rst

@@ -19,7 +19,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/shapedescriptors/hull/hull.rst

@@ -19,7 +19,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/shapedescriptors/moments/moments.rst

@@ -21,7 +21,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/shapedescriptors/point_polygon_test/point_polygon_test.rst

@@ -19,7 +19,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/pointPolygonTest_demo.cpp>`_
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ShapeDescriptors/pointPolygonTest_demo.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/imgproc/threshold/threshold.rst

@@ -130,7 +130,7 @@ Threshold to Zero, Inverted
 Code
 ======
 
-The tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgProc/Threshold.cpp>`_
+The tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/ImgProc/Threshold.cpp>`_
 
 .. code-block:: cpp 
 

doc/tutorials/introduction/display_image/display_image.rst

@@ -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/ios_install/ios_install.rst

@@ -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

@@ -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

@@ -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. 
 

doc/tutorials/objdetect/cascade_classifier/cascade_classifier.rst

@@ -22,7 +22,7 @@ Theory
 Code
 ====
 
-This tutorial code's is shown lines below. You can also download it from `here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/objectDetection/objectDetection.cpp>`_ . The second version (using LBP for face detection) can be `found here <https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp>`_ 
+This tutorial code's is shown lines below. You can also download it from `here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/objectDetection/objectDetection.cpp>`_ . The second version (using LBP for face detection) can be `found here <http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp>`_ 
 
 .. code-block:: cpp 
 

modules/highgui/doc/reading_and_writing_images_and_video.rst

@@ -249,7 +249,7 @@ The methods/functions grab the next frame from video file or camera and return t
 
 The primary use of the function is in multi-camera environments, especially when the cameras do not have hardware synchronization. That is, you call ``VideoCapture::grab()`` for each camera and after that call the slower method ``VideoCapture::retrieve()`` to decode and get frame from each camera. This way the overhead on demosaicing or motion jpeg decompression etc. is eliminated and the retrieved frames from different cameras will be closer in time.
 
-Also, when a connected camera is multi-head (for example, a stereo camera or a Kinect device), the correct way of retrieving data from it is to call `VideoCapture::grab` first and then call :ocv:func:`VideoCapture::retrieve` one or more times with different values of the ``channel`` parameter. See https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/kinect_maps.cpp
+Also, when a connected camera is multi-head (for example, a stereo camera or a Kinect device), the correct way of retrieving data from it is to call `VideoCapture::grab` first and then call :ocv:func:`VideoCapture::retrieve` one or more times with different values of the ``channel`` parameter. See http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/kinect_maps.cpp
 
 
 VideoCapture::retrieve

modules/highgui/doc/user_interface.rst

@@ -184,7 +184,7 @@ Sets mouse handler for the specified window
 
     :param name: Window name
     
-    :param onMouse: Mouse callback. See OpenCV samples, such as  https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/ffilldemo.cpp, on how to specify and use the callback.
+    :param onMouse: Mouse callback. See OpenCV samples, such as  http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/ffilldemo.cpp, on how to specify and use the callback.
     
     :param param: The optional parameter passed to the callback.
 

modules/imgproc/doc/structural_analysis_and_shape_descriptors.rst

@@ -258,7 +258,7 @@ Approximates a polygonal curve(s) with the specified precision.
 The functions ``approxPolyDP`` approximate a curve or a polygon with another curve/polygon with less vertices so that the distance between them is less or equal to the specified precision. It uses the Douglas-Peucker algorithm
 http://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm
 
-See http://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/contours.cpp for the function usage model.
+See http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/contours.cpp for the function usage model.
 
 
 ApproxChains

modules/java/android_test/src/org/opencv/test/core/CoreTest.java

@@ -742,7 +742,7 @@ public class CoreTest extends OpenCVTestCase {
 
         Core.fillConvexPoly(gray0, polyline2, colorBlack, Core.LINE_8, 1);
 
-        assertEquals("see https://code.ros.org/trac/opencv/ticket/1284", 0, Core.countNonZero(gray0));
+        assertEquals("see http://code.opencv.org/issues/1284", 0, Core.countNonZero(gray0));
     }
 
     public void testFillPolyMatListOfListOfPointScalar() {

modules/objdetect/doc/cascade_classification.rst

@@ -21,7 +21,7 @@ The word "cascade" in the classifier name means that the resultant classifier co
 The feature used in a particular classifier is specified by its shape (1a, 2b etc.), position within the region of interest and the scale (this scale is not the same as the scale used at the detection stage, though these two scales are multiplied). For example, in the case of the third line feature (2c) the response is calculated as the difference between the sum of image pixels under the rectangle covering the whole feature (including the two white stripes and the black stripe in the middle) and the sum of the image pixels under the black stripe multiplied by 3 in order to compensate for the differences in the size of areas. The sums of pixel values over a rectangular regions are calculated rapidly using integral images (see below and the :ocv:func:`integral` description).
 
 To see the object detector at work, have a look at the facedetect demo:
-https://code.ros.org/svn/opencv/trunk/opencv/samples/cpp/facedetect.cpp
+http://code.opencv.org/svn/opencv/trunk/opencv/samples/cpp/facedetect.cpp
 
 The following reference is for the detection part only. There is a separate application called  ``opencv_traincascade`` that can train a cascade of boosted classifiers from a set of samples.
 

modules/python/test/test.py

@@ -69,7 +69,7 @@ class OpenCVTests(unittest.TestCase):
 
     def get_sample(self, filename, iscolor = cv.CV_LOAD_IMAGE_COLOR):
         if not filename in self.image_cache:
-            filedata = urllib.urlopen("https://code.ros.org/svn/opencv/trunk/opencv/" + filename).read()
+            filedata = urllib.urlopen("http://code.opencv.org/svn/opencv/trunk/opencv/" + filename).read()
             imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
             cv.SetData(imagefiledata, filedata, len(filedata))
             self.image_cache[filename] = cv.DecodeImageM(imagefiledata, iscolor)

samples/python/cvutils.py

@@ -9,7 +9,7 @@ def load_sample(name=None):
         try:
             img0 = cv.LoadImage(name, cv.CV_LOAD_IMAGE_COLOR)
         except IOError:
-            urlbase = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/'
+            urlbase = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/'
             file = name.split('/')[-1]
             filedata = urllib2.urlopen(urlbase+file).read()
             imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)

samples/python/demhist.py

@@ -68,7 +68,7 @@ if __name__ == "__main__":
     if len(sys.argv) > 1:
         src_image = cv.GetMat(cv.LoadImage(sys.argv[1], 0))
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/baboon.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/baboon.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/dft.py

@@ -51,7 +51,7 @@ if __name__ == "__main__":
     if len(sys.argv) > 1:
         im = cv.LoadImage( sys.argv[1], cv.CV_LOAD_IMAGE_GRAYSCALE)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/baboon.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/baboon.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/distrans.py

@@ -42,7 +42,7 @@ if __name__ == "__main__":
     if len(sys.argv) > 1:
         gray = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_GRAYSCALE)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/stuff.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/stuff.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/edge.py

@@ -32,7 +32,7 @@ if __name__ == '__main__':
     if len(sys.argv) > 1:
         im = cv.LoadImage( sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/ffilldemo.py

@@ -73,7 +73,7 @@ if __name__ == "__main__":
     if len(sys.argv) > 1:
         im = cv.LoadImage( sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/fitellipse.py

@@ -82,7 +82,7 @@ if __name__ == '__main__':
     if len(sys.argv) > 1:
         source_image = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_GRAYSCALE)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/stuff.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/stuff.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/houghlines.py

@@ -14,7 +14,7 @@ if __name__ == "__main__":
         filename = sys.argv[1]
         src = cv.LoadImage(filename, cv.CV_LOAD_IMAGE_GRAYSCALE)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/doc/pics/building.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/doc/pics/building.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/inpaint.py

@@ -27,7 +27,7 @@ if __name__=="__main__":
     if len(sys.argv) > 1:
         img0 = cv.LoadImage( sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/logpolar.py

@@ -23,7 +23,7 @@ if __name__ == "__main__":
     if len(sys.argv) > 1:
         src = cv.LoadImage( sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/morphology.py

@@ -31,7 +31,7 @@ if __name__ == "__main__":
     if len(sys.argv) > 1:
         src = cv.LoadImage(sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/numpy_array.py

@@ -22,7 +22,7 @@ if __name__ == "__main__":
     if len(sys.argv) > 1:
         img0 = cv.LoadImageM( sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/lena.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/lena.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))

samples/python/watershed.py

@@ -27,7 +27,7 @@ if __name__ == "__main__":
     if len(sys.argv) > 1:
         img0 = cv.LoadImage( sys.argv[1], cv.CV_LOAD_IMAGE_COLOR)
     else:
-        url = 'https://code.ros.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
+        url = 'http://code.opencv.org/svn/opencv/trunk/opencv/samples/c/fruits.jpg'
         filedata = urllib2.urlopen(url).read()
         imagefiledata = cv.CreateMatHeader(1, len(filedata), cv.CV_8UC1)
         cv.SetData(imagefiledata, filedata, len(filedata))