trying to fix builds

modules/core/doc/operations_on_arrays.rst

@@ -3405,12 +3405,11 @@ and want to compute value of the "virtual" pixel ``Point(-5, 100)`` in a floatin
                               borderInterpolate(-5, img.cols, BORDER_WRAP));
 
 
-Normally, the function is not called directly. It is used inside :ocv:class:`FilterEngine`
+Normally, the function is not called directly. It is used inside filtering functions
-and :ocv:func:`copyMakeBorder` to compute tables for quick extrapolation.
+and also in :ocv:func:`copyMakeBorder`.
 
 .. seealso::
 
-    :ocv:class:`FilterEngine`,
     :ocv:func:`copyMakeBorder`
 
 
@@ -3443,7 +3442,7 @@ Forms a border around an image.
 
 The function copies the source image into the middle of the destination image. The areas to the
 left, to the right, above and below the copied source image will be filled with extrapolated pixels.
-This is not what :ocv:class:`FilterEngine` or filtering functions based on it do (they extrapolate
+This is not what filtering functions based on it do (they extrapolate
 pixels on-fly), but what other more complex functions, including your own, may do to simplify image
 boundary handling.
 

modules/core/src/lpsolver.cpp

@@ -46,7 +46,8 @@
 #define dprintf(x)
 #define print_matrix(x)
 
-namespace cv{
+namespace cv
+{
 
 using std::vector;
 

modules/highgui/include/opencv2/highgui/highgui_c.h

@@ -43,6 +43,7 @@
 #define __OPENCV_HIGHGUI_H__
 
 #include "opencv2/core/core_c.h"
+#include "opencv2/imgproc/imgproc_c.h"
 #include "opencv2/imgcodecs/imgcodecs_c.h"
 #include "opencv2/videoio/videoio_c.h"
 

modules/imgproc/test/test_contours.cpp

@@ -387,7 +387,27 @@ _exit_:
     return code;
 }
 
-
 TEST(Imgproc_FindContours, accuracy) { CV_FindContourTest test; test.safe_run(); }
 
+TEST(Core_Drawing, _914)
+{
+    const int rows = 256;
+    const int cols = 256;
+
+    Mat img(rows, cols, CV_8UC1, Scalar(255));
+
+    line(img, Point(0, 10), Point(255, 10), Scalar(0), 2, 4);
+    line(img, Point(-5, 20), Point(260, 20), Scalar(0), 2, 4);
+    line(img, Point(10, 0), Point(10, 255), Scalar(0), 2, 4);
+
+    double x0 = 0.0/pow(2.0, -2.0);
+    double x1 = 255.0/pow(2.0, -2.0);
+    double y = 30.5/pow(2.0, -2.0);
+
+    line(img, Point(int(x0), int(y)), Point(int(x1), int(y)), Scalar(0), 2, 4, 2);
+
+    int pixelsDrawn = rows*cols - countNonZero(img);
+    ASSERT_EQ( (3*rows + cols)*3 - 3*9, pixelsDrawn);
+}
+
 /* End of file. */

modules/photo/doc/denoising.rst

@@ -240,4 +240,3 @@ into play.
 .. [ChambolleEtAl] A. Chambolle, V. Caselles, M. Novaga, D. Cremers and T. Pock, An Introduction to Total Variation for Image Analysis, http://hal.archives-ouvertes.fr/docs/00/43/75/81/PDF/preprint.pdf (pdf)
 
 .. [Mordvintsev] Alexander Mordvintsev, ROF and TV-L1 denoising with Primal-Dual algorithm, http://znah.net/rof-and-tv-l1-denoising-with-primal-dual-algorithm.html (blog entry)
-