#1205 fixed more bugs/typos in parameters

modules/gpu/doc/feature_detection_and_description.rst

@@ -211,7 +211,7 @@ gpu::FAST_GPU::calcKeyPointsLocation
 -------------------------------------
 Find keypoints and compute it's response if ``nonmaxSupression`` is true.
 
-.. int gpu::FAST_GPU::calcKeyPointsLocation(const GpuMat& image, const GpuMat& mask)
+.. ocv:function:: int gpu::FAST_GPU::calcKeyPointsLocation(const GpuMat& image, const GpuMat& mask)
 
     :param image: Image where keypoints (corners) are detected. Only 8-bit grayscale images are supported.
 

modules/gpu/doc/image_processing.rst

@@ -769,7 +769,7 @@ Performs linear blending of two images.
 
     :param img1: First image. Supports only ``CV_8U`` and ``CV_32F`` depth.
 
-    :param img1: Second image. Must have the same size and the same type as ``img1`` .
+    :param img2: Second image. Must have the same size and the same type as ``img1`` .
 
     :param weights1: Weights for first image. Must have tha same size as ``img1`` . Supports only ``CV_32F`` type.
 
@@ -789,7 +789,7 @@ Composites two images using alpha opacity values contained in each image.
 
     :param img1: First image. Supports ``CV_8UC4`` , ``CV_16UC4`` , ``CV_32SC4`` and ``CV_32FC4`` types.
 
-    :param img1: Second image. Must have the same size and the same type as ``img1`` .
+    :param img2: Second image. Must have the same size and the same type as ``img1`` .
 
     :param dst: Destination image.
 

modules/gpu/doc/per_element_operations.rst

@@ -78,13 +78,11 @@ Computes a matrix-matrix or matrix-scalar per-element product.
 
 
 gpu::divide
----------------
+-----------
 Computes a matrix-matrix or matrix-scalar division.
 
 .. ocv:function:: void gpu::divide(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null())
 
-.. ocv:function:: void gpu::divide(const GpuMat& src1, const Scalar& src2, GpuMat& dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null())
-
 .. ocv:function:: void gpu::divide(double src1, const GpuMat& src2, GpuMat& dst, int dtype = -1, Stream& stream = Stream::Null())
 
     :param src1: First source matrix or a scalar.
@@ -104,9 +102,8 @@ This function, in contrast to :ocv:func:`divide`, uses a round-down rounding mod
 .. seealso:: :ocv:func:`divide`
 
 
-
-addWeighted
----------------
+gpu::addWeighted
+----------------
 Computes the weighted sum of two arrays.
 
 .. ocv:function:: void gpu::addWeighted(const GpuMat& src1, double alpha, const GpuMat& src2, double beta, double gamma, GpuMat& dst, int dtype = -1, Stream& stream = Stream::Null())

modules/gpu/doc/video.rst

@@ -47,6 +47,7 @@ Class computing the optical flow for two images using Brox et al Optical Flow al
 
 gpu::GoodFeaturesToTrackDetector_GPU
 ------------------------------------
+.. ocv:class:: gpu::GoodFeaturesToTrackDetector_GPU
 
 Class used for strong corners detection on an image. ::
 
@@ -120,6 +121,8 @@ Releases inner buffers memory.
 
 gpu::FarnebackOpticalFlow
 -------------------------
+.. ocv:class:: gpu::FarnebackOpticalFlow
+
 Class computing a dense optical flow using the Gunnar Farneback’s algorithm. ::
 
     class CV_EXPORTS FarnebackOpticalFlow
@@ -179,6 +182,7 @@ Releases unused auxiliary memory buffers.
 
 gpu::PyrLKOpticalFlow
 ---------------------
+.. ocv:class:: gpu::PyrLKOpticalFlow
 
 Class used for calculating an optical flow. ::
 

modules/objdetect/doc/latent_svm.rst

@@ -76,7 +76,8 @@ Description of the filter, which corresponds to the part of the object.
         vector describes penalty function (d_i in the paper)
         pf[0] * x + pf[1] * y + pf[2] * x^2 + pf[3] * y^2
         
-    .. ocv:member:: int sizeX, sizeY
+    .. ocv:member:: int sizeX
+    .. ocv:member:: int sizeY
         
         Rectangular map (sizeX x sizeY),
         every cell stores feature vector (dimension = p)

modules/stitching/doc/exposure_compensation.rst

@@ -29,15 +29,6 @@ detail::ExposureCompensation::feed
 
 .. ocv:function:: void detail::ExposureCompensation::feed(const std::vector<Point> &corners, const std::vector<Mat> &images, const std::vector<Mat> &masks)
 
-    :param corners: Source image top-left corners
-
-    :param images: Source images
-
-    :param masks: Image masks to update
-
-detail::ExposureCompensation::feed
-----------------------------------
-
 .. ocv:function:: void detail::ExposureCompensation::feed(const std::vector<Point> &corners, const std::vector<Mat> &images, const std::vector<std::pair<Mat,uchar> > &masks)
 
     :param corners: Source image top-left corners

modules/stitching/doc/introduction.rst

@@ -10,7 +10,7 @@ The implemented stitching pipeline is very similar to the one proposed in [BL07]
 .. image:: StitchingPipeline.jpg
 
 References
-----------
+==========
 
 .. [BL07] M. Brown and D. Lowe. Automatic Panoramic Image Stitching using Invariant Features. International Journal of Computer Vision, 74(1), pages 59-73, 2007.
 

modules/stitching/doc/matching.rst

@@ -245,4 +245,4 @@ Constructs a "best of 2 nearest" matcher.
 
     :param num_matches_thresh1: Minimum number of matches required for the 2D projective transform estimation used in the inliers classification step
 
-    :param num_matches_thresh1: Minimum number of matches required for the 2D projective transform re-estimation on inliers
+    :param num_matches_thresh2: Minimum number of matches required for the 2D projective transform re-estimation on inliers

modules/stitching/doc/motion_estimation.rst

@@ -204,6 +204,7 @@ Implementation of the camera parameters refinement algorithm which minimizes sum
 
 detail::BundleAdjusterRay
 -------------------------
+.. ocv:class:: detail::BundleAdjusterRay
 
 Implementation of the camera parameters refinement algorithm which minimizes sum of the distances between the rays passing through the camera center and a feature. ::
 

modules/stitching/doc/warpers.rst

@@ -101,7 +101,7 @@ Projects the image backward.
 
     :param dst_size: Backward-projected image size
 
-    :param dst_size: Backward-projected image
+    :param dst: Backward-projected image
 
 detail::RotationWarper::warpRoi
 -------------------------------