Normalized file endings.

2026-07-30 07:43:03 +04:00 · 2013-08-21 17:26:54 +04:00
parent f55740da70
commit e9a28f66ee
486 changed files with 166 additions and 606 deletions
@@ -59,4 +59,4 @@ Now, let us write a code that detects a chessboard in a new image and finds its
 #.
    Calculate reprojection error like it is done in ``calibration`` sample (see ``opencv/samples/cpp/calibration.cpp``, function ``computeReprojectionErrors``).

-Question: how to calculate the distance from the camera origin to any of the corners?
+Question: how to calculate the distance from the camera origin to any of the corners?
@@ -277,4 +277,3 @@ You may observe a runtime instance of this on the `YouTube here <https://www.you
  <div align="center">
  <iframe title="File Input and Output using XML and YAML files in OpenCV" width="560" height="349" src="http://www.youtube.com/embed/A4yqVnByMMM?rel=0&loop=1" frameborder="0" allowfullscreen align="middle"></iframe>
  </div>
-
@@ -127,6 +127,3 @@ You may observe a runtime instance of this on the `YouTube here <https://www.you
  <div align="center">
  <iframe title="Interoperability with OpenCV 1" width="560" height="349" src="http://www.youtube.com/embed/qckm-zvo31w?rel=0&loop=1" frameborder="0" allowfullscreen align="middle"></iframe>
  </div>
-
-
-
@@ -218,4 +218,4 @@ Here you will learn the about the basic building blocks of the library. A must r
   ../random_generator_and_text/random_generator_and_text
   ../discrete_fourier_transform/discrete_fourier_transform
   ../file_input_output_with_xml_yml/file_input_output_with_xml_yml
-   ../interoperability_with_OpenCV_1/interoperability_with_OpenCV_1
+   ../interoperability_with_OpenCV_1/interoperability_with_OpenCV_1
@@ -1 +1 @@
-Include in this directory only defintion files. None of the reST files entered here will be parsed by the Sphinx Builder.
+Include in this directory only defintion files. None of the reST files entered here will be parsed by the Sphinx Builder.
@@ -1,3 +1,3 @@

 .. note::
-   Unfortunetly we have no tutorials into this section. And you can help us with that, since OpenCV is a community effort. If you have a tutorial suggestion or you have written a tutorial yourself (or coded a sample code) that you would like to see here, please contact follow these instructions: :ref:`howToWriteTutorial` and :how_to_contribute:`How to contribute <>`.
+   Unfortunetly we have no tutorials into this section. And you can help us with that, since OpenCV is a community effort. If you have a tutorial suggestion or you have written a tutorial yourself (or coded a sample code) that you would like to see here, please contact follow these instructions: :ref:`howToWriteTutorial` and :how_to_contribute:`How to contribute <>`.
@@ -100,6 +100,3 @@ Result
   .. image:: images/Feature_Description_BruteForce_Result.jpg
      :align: center
      :height: 200pt
-
-
-
@@ -95,4 +95,3 @@ Result
   .. image:: images/Feature_Detection_Result_b.jpg
      :align: center
      :height: 200pt
-
@@ -146,4 +146,3 @@ Result
   .. image:: images/Feature_Homography_Result.jpg
      :align: center
      :height: 200pt
-
@@ -201,4 +201,3 @@ Learn about how to use the feature points  detectors, descriptors and matching f
   ../feature_flann_matcher/feature_flann_matcher
   ../feature_homography/feature_homography
   ../detection_of_planar_objects/detection_of_planar_objects
-
@@ -135,4 +135,3 @@ Here is the result:

 .. image:: images/Corner_Subpixeles_Result.jpg
              :align: center
-
@@ -37,4 +37,3 @@ Result

 .. image:: images/My_Shi_Tomasi_corner_detector_Result.jpg
              :align: center
-
@@ -118,5 +118,3 @@ Result

 .. image:: images/Feature_Detection_Result_a.jpg
              :align: center
-
-
@@ -243,5 +243,3 @@ The detected corners are surrounded by a small black circle

 .. image:: images/Harris_Detector_Result.jpg
              :align: center
-
-
@@ -10,4 +10,3 @@ These tutorials are the bottom of the iceberg as they link together multiple of
 .. raw:: latex

   \pagebreak
-
@@ -74,4 +74,4 @@ This section contains valuable tutorials about how to read/save your image/video

   ../trackbar/trackbar
   ../video-input-psnr-ssim/video-input-psnr-ssim
-   ../video-write/video-write
+   ../video-write/video-write
@@ -154,8 +154,3 @@ Result
  .. image:: images/Adding_Trackbars_Tutorial_Result_1.jpg
     :alt: Adding Trackbars - Lena
     :align: center
-
-
-
-
-
@@ -329,4 +329,3 @@ Result

     .. image:: images/Histogram_Calculation_Result.jpg
              :align: center
-
@@ -369,4 +369,3 @@ Results

   .. image:: images/Template_Matching_Image_Result.jpg
            :align: center
-
@@ -282,6 +282,3 @@ Result
           :align: center

 * Notice how the image is superposed to the black background on the edge regions.
-
-
-
@@ -290,4 +290,3 @@ We get the following result by using the Probabilistic Hough Line Transform:
   :align: center

 You may observe that the number of lines detected vary while you change the *threshold*. The explanation is sort of evident: If you establish a higher threshold, fewer lines will be detected (since you will need more points to declare a line detected).
-
@@ -311,4 +311,3 @@ Result
         :alt: Result 0 for remapping
         :width: 250pt
         :align: center
-
@@ -306,4 +306,3 @@ Result
            :alt: Original image
            :width: 250pt
            :align: center
-
@@ -279,4 +279,3 @@ Results
  .. image:: images/Morphology_2_Tutorial_Cover.jpg
     :alt: Morphology 2: Result sample
     :align: center
-
@@ -259,5 +259,3 @@ Results
  .. image:: images/Pyramids_Tutorial_PyrUp_Result.jpg
     :alt: Pyramids: PyrUp Result
     :align: center
-
-
@@ -121,4 +121,3 @@ Result

   .. |BRC_1|  image:: images/Bounding_Rects_Circles_Result.jpg
                    :align: middle
-
@@ -123,4 +123,3 @@ Result

   .. |BRE_1|  image:: images/Bounding_Rotated_Ellipses_Result.jpg
                    :align: middle
-
@@ -104,4 +104,3 @@ Result

   .. |contour_1|  image:: images/Find_Contours_Result.jpg
                     :align: middle
-
@@ -113,4 +113,3 @@ Result

   .. |Hull_1|  image:: images/Hull_Result.jpg
                     :align: middle
-
@@ -133,4 +133,3 @@ Result
   .. |MU_2|  image:: images/Moments_Result2.jpg
                    :width: 250pt
                    :align: middle
-
@@ -114,4 +114,3 @@ Result

   .. |PPT_1|  image:: images/Point_Polygon_Test_Result.jpg
                    :align: middle
-
@@ -539,6 +539,3 @@ In this section you will learn about the image processing (manipulation) functio
   ../shapedescriptors/bounding_rotated_ellipses/bounding_rotated_ellipses
   ../shapedescriptors/moments/moments
   ../shapedescriptors/point_polygon_test/point_polygon_test
-
-
-
@@ -384,4 +384,4 @@ upcoming issues. During this it may take a little longer to see your work online
 however if you submitted it, be sure that eventually it will show up.

 If you have any questions or advices relating to this tutorial you can contact us at
-delete-admin@-delete-opencv.org (delete the -delete- parts of that email address).
+-delete-admin@-delete-opencv.org (delete the -delete- parts of that email address).
@@ -253,6 +253,3 @@ Say you have or create a new file, *helloworld.cpp* in a directory called *foo*:
 a. You can also optionally modify the ``Build command:`` from ``make`` to something like ``make VERBOSE=1 -j4`` which tells the compiler to produce detailed symbol files for debugging and also to compile in 4 parallel threads.

 #. Done!
-
-
-
@@ -80,4 +80,3 @@ Building OpenCV from Source Using CMake, Using the Command Line
 .. note::

   If the size of the created library is a critical issue (like in case of an Android build) you can use the ``install/strip`` command to get the smallest size as possible. The *stripped* version appears to be twice as small. However, we do not recommend using this unless those extra megabytes do really matter.
-
@@ -73,4 +73,3 @@ Now we will learn how to write a simple Hello World Application in Xcode using O
 .. image:: images/output.png
     :alt: output
     :align: center
-
@@ -127,4 +127,4 @@ Check out an instance of running code with more Image Effects on `YouTube <http:

  <div align="center">
 <iframe width="560" height="350" src="http://www.youtube.com/embed/Ko3K_xdhJ1I" frameborder="0" allowfullscreen></iframe>
-  </div>
+  </div>
@@ -185,4 +185,3 @@ Results
 .. image:: images/result.png
  :alt: The seperated planes
  :align: center
-
@@ -216,4 +216,4 @@ You may observe a runtime instance of this on the `YouTube here <https://www.you

  <div align="center">
  <iframe title="Support Vector Machines for Non-Linearly Separable Data" width="560" height="349" src="http://www.youtube.com/embed/vFv2yPcSo-Q?rel=0&loop=1" frameborder="0" allowfullscreen align="middle"></iframe>
-  </div>
+  </div>
@@ -131,4 +131,3 @@ Result
   .. image:: images/Cascade_Classifier_Tutorial_Result_LBP.jpg
      :align: center
      :height: 300pt
-