Improved RST parser; fixed small typos found by new parser

modules/calib3d/doc/camera_calibration_and_3d_reconstruction.rst

@@ -180,7 +180,7 @@ The function returns the final re-projection error.
 
 .. note::
 
-    If you use a non-square (=non-NxN) grid and	:ocv:func:`findChessboardCorners` for calibration, and ``calibrateCamera`` returns bad values (zero distortion coefficients, an image center very far from ``(w/2-0.5,h/2-0.5)``, and/or large differences between :math:`f_x` and :math:`f_y` (ratios of 10:1 or more)), then you have probably used ``patternSize=cvSize(rows,cols)`` instead of using ``patternSize=cvSize(cols,rows)`` in :ocv:func:`findChessboardCorners` .
+    If you use a non-square (=non-NxN) grid and    :ocv:func:`findChessboardCorners` for calibration, and ``calibrateCamera`` returns bad values (zero distortion coefficients, an image center very far from ``(w/2-0.5,h/2-0.5)``, and/or large differences between :math:`f_x` and :math:`f_y` (ratios of 10:1 or more)), then you have probably used ``patternSize=cvSize(rows,cols)`` instead of using ``patternSize=cvSize(cols,rows)`` in :ocv:func:`findChessboardCorners` .
 
 .. seealso::
 

modules/core/doc/dynamic_structures.rst

@@ -176,6 +176,8 @@ The structure ``CvGraphScanner`` is used for depth-first graph traversal. See di
 CvTreeNodeIterator
 ------------------
 
+.. ocv:struct:: CvTreeNodeIterator
+
 The structure ``CvTreeNodeIterator`` is used to traverse trees of sequences.
 
 ClearGraph

modules/core/doc/operations_on_arrays.rst

@@ -2398,7 +2398,7 @@ For some values of ``p`` , such as integer values, 0.5 and -0.5, specialized fas
 RNG
 ---
 
-.. ocv:class: RNG
+.. ocv:class:: RNG
 
 Random number generator. It encapsulates the state (currently, a 64-bit integer) and has methods to return scalar random values and to fill arrays with random values. Currently it supports uniform and Gaussian (normal) distributions. The generator uses Multiply-With-Carry algorithm, introduced by G. Marsaglia (
 http://en.wikipedia.org/wiki/Multiply-with-carry

modules/gpu/doc/image_filtering.rst

@@ -240,7 +240,7 @@ gpu::boxFilter
 
     :param anchor: Anchor point. The default value ``Point(-1, -1)`` means that the anchor is at the kernel center.
 
- .. note::	This filter does not check out-of-border accesses, so only a proper sub-matrix of a bigger matrix has to be passed to it.
+ .. note::    This filter does not check out-of-border accesses, so only a proper sub-matrix of a bigger matrix has to be passed to it.
 
 .. seealso:: :ocv:func:`boxFilter`
 
@@ -365,7 +365,7 @@ gpu::morphologyEx
 
     :param iterations: Number of times erosion and dilation to be applied.
 
-.. note::	This filter does not check out-of-border accesses, so only a proper sub-matrix of a bigger matrix has to be passed to it.
+.. note::    This filter does not check out-of-border accesses, so only a proper sub-matrix of a bigger matrix has to be passed to it.
 
 .. seealso:: :ocv:func:`morphologyEx` 
 
@@ -433,7 +433,7 @@ gpu::Laplacian
 
     :param scale: Optional scale factor for the computed Laplacian values. By default, no scaling is applied (see  :ocv:func:`getDerivKernels` ).
 
-.. note::	This filter does not check out-of-border accesses, so only a proper sub-matrix of a bigger matrix has to be passed to it.
+.. note::    This filter does not check out-of-border accesses, so only a proper sub-matrix of a bigger matrix has to be passed to it.
 
 .. seealso:: :ocv:func:`Laplacian`,:ocv:func:`gpu::filter2D` .
 

modules/gpu/doc/initalization_and_information.rst

@@ -166,9 +166,9 @@ Class providing a set of static methods to check what NVIDIA* card architecture
 
 The following method checks whether the module was built with the support of the given feature:
 
-	.. ocv:function:: static bool gpu::TargetArchs::builtWith(GpuFeature feature)
+    .. ocv:function:: static bool gpu::TargetArchs::builtWith(GpuFeature feature)
 
-		:param feature: Feature to be checked. See :ocv:class:`gpu::GpuFeature`.
+        :param feature: Feature to be checked. See :ocv:class:`gpu::GpuFeature`.
 
 There is a set of methods to check whether the module contains intermediate (PTX) or binary GPU code for the given architecture(s):
 

modules/gpu/doc/matrix_reductions.rst

@@ -7,7 +7,7 @@ Matrix Reductions
 
 gpu::meanStdDev
 -------------------
-.. cpp:function:: void gpu::meanStdDev(const GpuMat\& mtx, Scalar\& mean, Scalar\& stddev)
+.. ocv:function:: void gpu::meanStdDev(const GpuMat\& mtx, Scalar\& mean, Scalar\& stddev)
 
     Computes a mean value and a standard deviation of matrix elements.
 

modules/imgproc/doc/filtering.rst

@@ -579,7 +579,7 @@ The function supports the mode when ``src`` is already in the middle of ``dst``
 
 .. seealso::
 
-	:ocv:func:`borderInterpolate`
+    :ocv:func:`borderInterpolate`
 
 
 createBoxFilter

modules/imgproc/doc/geometric_transformations.rst

@@ -486,7 +486,7 @@ Applies a perspective transformation to an image.
 
     :param dst: Destination image that has the size  ``dsize``  and the same type as  ``src`` .
     
-	:param M: :math:`3\times 3`  transformation matrix.
+    :param M: :math:`3\times 3`  transformation matrix.
 
     :param dsize: Size of the destination image.
 
@@ -697,4 +697,4 @@ where ``undistort()`` is an approximate iterative algorithm that estimates the n
 
 The function can be used for both a stereo camera head or a monocular camera (when R is empty).
 
- 
\ No newline at end of file
+ 

modules/imgproc/doc/histograms.rst

@@ -124,9 +124,9 @@ Calculates the back projection of a histogram.
     :param hist: Input histogram that can be dense or sparse.
 
     :param backProject: Destination back projection aray that is a single-channel array of the same size and depth as  ``arrays[0]`` .
-	
+    
     :param ranges: Array of arrays of the histogram bin boundaries in each dimension. See  :ocv:func:`calcHist` .
-	
+    
     :param scale: Optional scale factor for the output back projection.
 
     :param uniform: Flag indicating whether the histogram is uniform or not (see above).
@@ -164,16 +164,16 @@ Compares two histograms.
     :param H1: First compared histogram.
 
     :param H2: Second compared histogram of the same size as  ``H1`` .
-	
+    
     :param method: Comparison method that could be one of the following:
 
-            * **CV_COMP_CORREL** 	Correlation
+            * **CV_COMP_CORREL**     Correlation
 
-            * **CV_COMP_CHISQR** 	Chi-Square
+            * **CV_COMP_CHISQR**     Chi-Square
 
-            * **CV_COMP_INTERSECT** 	Intersection
+            * **CV_COMP_INTERSECT**     Intersection
 
-            * **CV_COMP_BHATTACHARYYA** 	Bhattacharyya distance
+            * **CV_COMP_BHATTACHARYYA**     Bhattacharyya distance
 
 The functions ``compareHist`` compare two dense or two sparse histograms using the specified method:
 
@@ -588,4 +588,4 @@ between the calculated minimum and maximum distances are incremented
 
 .. [RubnerSept98] Y. Rubner. C. Tomasi, L.J. Guibas. *The Earth Mover’s Distance as a Metric for Image Retrieval*. Technical Report STAN-CS-TN-98-86, Department of Computer Science, Stanford University, September 1998.
 
-.. [Iivarinen97] Jukka Iivarinen, Markus Peura, Jaakko Srel, and Ari Visa. *Comparison of Combined Shape Descriptors for Irregular Objects*, 8th British Machine Vision Conference, BMVC'97. http://www.cis.hut.fi/research/IA/paper/publications/bmvc97/bmvc97.html
\ No newline at end of file
+.. [Iivarinen97] Jukka Iivarinen, Markus Peura, Jaakko Srel, and Ari Visa. *Comparison of Combined Shape Descriptors for Irregular Objects*, 8th British Machine Vision Conference, BMVC'97. http://www.cis.hut.fi/research/IA/paper/publications/bmvc97/bmvc97.html

modules/imgproc/doc/miscellaneous_transformations.rst

@@ -24,7 +24,7 @@ Applies an adaptive threshold to an array.
     :param adaptiveMethod: Adaptive thresholding algorithm to use, ``ADAPTIVE_THRESH_MEAN_C``  or  ``ADAPTIVE_THRESH_GAUSSIAN_C`` . See the details below.
 
     :param thresholdType: Thresholding type that must be either  ``THRESH_BINARY``  or  ``THRESH_BINARY_INV`` .
-	
+    
     :param blockSize: Size of a pixel neighborhood that is used to calculate a threshold value for the pixel: 3, 5, 7, and so on.
 
     :param C: Constant subtracted from the mean or weighted mean (see the details below). Normally, it is positive but may be zero or negative as well.
@@ -497,10 +497,10 @@ Fills a connected component with the given color.
     :param image: Input/output 1- or 3-channel, 8-bit, or floating-point image. It is modified by the function unless the  ``FLOODFILL_MASK_ONLY``  flag is set in the second variant of the function. See the details below.
 
     :param mask: (For the second function only) Operation mask that should be a single-channel 8-bit image, 2 pixels wider and 2 pixels taller. The function uses and updates the mask, so you take responsibility of initializing the  ``mask``  content. Flood-filling cannot go across non-zero pixels in the mask. For example, an edge detector output can be used as a mask to stop filling at edges. It is possible to use the same mask in multiple calls to the function to make sure the filled area does not overlap.  
-	
-	.. note::
-	Since the mask is larger than the filled image, a pixel  :math:`(x, y)`  in  ``image``  corresponds to the pixel  :math:`(x+1, y+1)`  in the  ``mask`` .
-	
+    
+    .. note::
+    Since the mask is larger than the filled image, a pixel  :math:`(x, y)`  in  ``image``  corresponds to the pixel  :math:`(x+1, y+1)`  in the  ``mask`` .
+    
     :param seed: Starting point.
 
     :param newVal: New value of the repainted domain pixels.
@@ -608,9 +608,9 @@ Restores the selected region in an image using the region neighborhood.
 
     :param flags: Inpainting method that could be one of the following:
 
-            * **INPAINT_NS** 	Navier-Stokes based method.
+            * **INPAINT_NS**     Navier-Stokes based method.
 
-            * **INPAINT_TELEA** 	Method by Alexandru Telea  [Telea04]_.
+            * **INPAINT_TELEA**     Method by Alexandru Telea  [Telea04]_.
 
 The function reconstructs the selected image area from the pixel near the area boundary. The function may be used to remove dust and scratches from a scanned photo, or to remove undesirable objects from still images or video. See
 http://en.wikipedia.org/wiki/Inpainting
@@ -821,11 +821,11 @@ Runs the GrabCut algorithm.
     
     :param mode: Operation mode that could be one of the following:
 
-        * **GC_INIT_WITH_RECT** 	The function initializes the state and the mask using the provided rectangle. After that it runs  ``iterCount``  iterations of the algorithm.
+        * **GC_INIT_WITH_RECT**     The function initializes the state and the mask using the provided rectangle. After that it runs  ``iterCount``  iterations of the algorithm.
 
-        * **GC_INIT_WITH_MASK** 	The function initializes the state using the provided mask. Note that  ``GC_INIT_WITH_RECT``  and  ``GC_INIT_WITH_MASK``  can be combined. Then, all the pixels outside of the ROI are automatically initialized with  ``GC_BGD`` .
+        * **GC_INIT_WITH_MASK**     The function initializes the state using the provided mask. Note that  ``GC_INIT_WITH_RECT``  and  ``GC_INIT_WITH_MASK``  can be combined. Then, all the pixels outside of the ROI are automatically initialized with  ``GC_BGD`` .
 
-        * **GC_EVAL** 	The value means that the algorithm should just resume.
+        * **GC_EVAL**     The value means that the algorithm should just resume.
 
 The function implements the `GrabCut image segmentation algorithm <http://en.wikipedia.org/wiki/GrabCut>`_.
 See the sample ``grabcut.cpp`` to learn how to use the function.

modules/imgproc/doc/motion_analysis_and_object_tracking.rst

@@ -85,7 +85,7 @@ Adds the per-element product of two input images to the accumulator.
     :param src1: First input image, 1- or 3-channel, 8-bit or 32-bit floating point.
 
     :param src2: Second input image of the same type and the same size as  ``src1`` .
-	
+    
     :param dst: Accumulator with the same number of channels as input images, 32-bit or 64-bit floating-point.
 
     :param mask: Optional operation mask.

modules/imgproc/doc/object_detection.rst

@@ -19,7 +19,7 @@ Compares a template against overlapped image regions.
     :param templ: Searched template. It must be not greater than the source image and have the same data type.
 
     :param result: Map of comparison results. It must be single-channel 32-bit floating-point. If  ``image``  is  :math:`W \times H`  and ``templ``  is  :math:`w \times h` , then  ``result``  is  :math:`(W-w+1) \times (H-h+1)` .
-	
+    
     :param method: Parameter specifying the comparison method (see below).
 
 The function slides through ``image`` , compares the

modules/video/doc/motion_analysis_and_object_tracking.rst

@@ -480,7 +480,7 @@ Updates the predicted state from the measurement.
 BackgroundSubtractor
 --------------------
 
-.. ocv:class: BackgroundSubtractor
+.. ocv:class:: BackgroundSubtractor
 
 Base class for background/foreground segmentation. ::
 
@@ -522,7 +522,7 @@ Computes a background image.
 BackgroundSubtractorMOG
 -----------------------
 
-.. ocv:class: BackgroundSubtractorMOG : public BackgroundSubtractor
+.. ocv:class:: BackgroundSubtractorMOG : public BackgroundSubtractor
 
 Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm.
 
@@ -567,7 +567,7 @@ BackgroundSubtractorMOG2
 ------------------------
 Gaussian Mixture-based Backbround/Foreground Segmentation Algorithm.
 
-.. ocv:class: BackgroundSubtractorMOG2 : public BackgroundSubtractor
+.. ocv:class:: BackgroundSubtractorMOG2 : public BackgroundSubtractor
 
     Here are important members of the class that control the algorithm, which you can set after constructing the class instance: