Minimize usages of legacy C API inside the library

cmake/OpenCVDetectAndroidSDK.cmake

@@ -275,7 +275,7 @@ macro(add_android_project target path)
         ocv_include_modules_recurse(${android_proj_NATIVE_DEPS})
         ocv_include_directories("${path}/jni")
 
-        if (NATIVE_APP_GLUE)
+        if (NATIVE_APP_GLUE AND 0)
           include_directories(${ANDROID_NDK}/sources/android/native_app_glue)
           list(APPEND android_proj_jni_files ${ANDROID_NDK}/sources/android/native_app_glue/android_native_app_glue.c)
           ocv_warnings_disable(CMAKE_C_FLAGS -Wstrict-prototypes -Wunused-parameter -Wmissing-prototypes)

doc/tutorials/core/adding_images/adding_images.rst

@@ -35,8 +35,7 @@ As usual, after the not-so-lengthy explanation, let's go to the code:
 
 .. code-block:: cpp
 
-   #include <cv.h>
-   #include <highgui.h>
+   #include <opencv2/opencv.hpp>
    #include <iostream>
 
    using namespace cv;

doc/tutorials/core/basic_linear_transform/basic_linear_transform.rst

@@ -72,8 +72,7 @@ Code
 
 .. code-block:: cpp
 
-   #include <cv.h>
-   #include <highgui.h>
+   #include <opencv2/opencv.hpp>
    #include <iostream>
 
    using namespace cv;

doc/tutorials/highgui/trackbar/trackbar.rst

@@ -28,9 +28,7 @@ Let's modify the program made in the tutorial :ref:`Adding_Images`. We will let
 
 .. code-block:: cpp
 
-   #include <cv.h>
-   #include <highgui.h>
-
+   #include <opencv2/opencv.hpp>
    using namespace cv;
 
    /// Global Variables
@@ -50,41 +48,41 @@ Let's modify the program made in the tutorial :ref:`Adding_Images`. We will let
     */
    void on_trackbar( int, void* )
    {
-    alpha = (double) alpha_slider/alpha_slider_max ;
-    beta = ( 1.0 - alpha );
+     alpha = (double) alpha_slider/alpha_slider_max ;
+     beta = ( 1.0 - alpha );
 
-    addWeighted( src1, alpha, src2, beta, 0.0, dst);
+     addWeighted( src1, alpha, src2, beta, 0.0, dst);
 
-    imshow( "Linear Blend", dst );
+     imshow( "Linear Blend", dst );
    }
 
    int main( int argc, char** argv )
    {
-    /// Read image ( same size, same type )
-    src1 = imread("../../images/LinuxLogo.jpg");
-    src2 = imread("../../images/WindowsLogo.jpg");
+     /// Read image ( same size, same type )
+     src1 = imread("../../images/LinuxLogo.jpg");
+     src2 = imread("../../images/WindowsLogo.jpg");
 
-    if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
-    if( !src2.data ) { printf("Error loading src2 \n"); return -1; }
+     if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
+     if( !src2.data ) { printf("Error loading src2 \n"); return -1; }
 
-    /// Initialize values
-    alpha_slider = 0;
+     /// Initialize values
+     alpha_slider = 0;
 
-    /// Create Windows
-    namedWindow("Linear Blend", 1);
+     /// Create Windows
+     namedWindow("Linear Blend", 1);
 
-    /// Create Trackbars
-    char TrackbarName[50];
-    sprintf( TrackbarName, "Alpha x %d", alpha_slider_max );
+     /// Create Trackbars
+     char TrackbarName[50];
+     sprintf( TrackbarName, "Alpha x %d", alpha_slider_max );
 
-    createTrackbar( TrackbarName, "Linear Blend", &alpha_slider, alpha_slider_max, on_trackbar );
+     createTrackbar( TrackbarName, "Linear Blend", &alpha_slider, alpha_slider_max, on_trackbar );
 
-    /// Show some stuff
-    on_trackbar( alpha_slider, 0 );
+     /// Show some stuff
+     on_trackbar( alpha_slider, 0 );
 
-    /// Wait until user press some key
-    waitKey(0);
-    return 0;
+     /// Wait until user press some key
+     waitKey(0);
+     return 0;
    }
 
 

doc/tutorials/introduction/linux_eclipse/linux_eclipse.rst

@@ -65,8 +65,7 @@ Making a project
 
    .. code-block:: cpp
 
-      #include <cv.h>
-      #include <highgui.h>
+      #include <opencv2/opencv.hpp>
 
       using namespace cv;
 
@@ -81,7 +80,7 @@ Making a project
             return -1;
           }
 
-        namedWindow( "Display Image", CV_WINDOW_AUTOSIZE );
+        namedWindow( "Display Image", WINDOW_AUTOSIZE );
         imshow( "Display Image", image );
 
         waitKey(0);
@@ -206,22 +205,15 @@ Say you have or create a new file, *helloworld.cpp* in a directory called *foo*:
 .. code-block:: cpp
 
 
-   #include <cv.h>
-   #include <highgui.h>
+   #include <opencv2/opencv.hpp>
+   using namespace cv;
+
    int main ( int argc, char **argv )
    {
-     cvNamedWindow( "My Window", 1 );
-     IplImage *img = cvCreateImage( cvSize( 640, 480 ), IPL_DEPTH_8U, 1 );
-     CvFont font;
-     double hScale = 1.0;
-     double vScale = 1.0;
-     int lineWidth = 1;
-     cvInitFont( &font, CV_FONT_HERSHEY_SIMPLEX | CV_FONT_ITALIC,
-                 hScale, vScale, 0, lineWidth );
-     cvPutText( img, "Hello World!", cvPoint( 200, 400 ), &font,
-                cvScalar( 255, 255, 0 ) );
-     cvShowImage( "My Window", img );
-     cvWaitKey();
+     Mat img(480, 640, CV_8U);
+     putText(img, "Hello World!", Point( 200, 400 ), FONT_HERSHEY_SIMPLEX | FONT_ITALIC, 1.0, Scalar( 255, 255, 0 ));
+     imshow("My Window", img);
+     waitKey();
      return 0;
    }
 

doc/tutorials/introduction/load_save_image/load_save_image.rst

@@ -26,8 +26,7 @@ Here it is:
 .. code-block:: cpp
    :linenos:
 
-   #include <cv.h>
-   #include <highgui.h>
+   #include <opencv2/opencv.hpp>
 
    using namespace cv;
 
@@ -45,12 +44,12 @@ Here it is:
     }
 
     Mat gray_image;
-    cvtColor( image, gray_image, CV_BGR2GRAY );
+    cvtColor( image, gray_image, COLOR_BGR2GRAY );
 
     imwrite( "../../images/Gray_Image.jpg", gray_image );
 
-    namedWindow( imageName, CV_WINDOW_AUTOSIZE );
-    namedWindow( "Gray image", CV_WINDOW_AUTOSIZE );
+    namedWindow( imageName, WINDOW_AUTOSIZE );
+    namedWindow( "Gray image", WINDOW_AUTOSIZE );
 
     imshow( imageName, image );
     imshow( "Gray image", gray_image );

include/opencv2/opencv.hpp

@@ -44,15 +44,14 @@
 #define __OPENCV_ALL_HPP__
 
 #include "opencv2/core.hpp"
-#include "opencv2/flann/miniflann.hpp"
 #include "opencv2/imgproc.hpp"
 #include "opencv2/photo.hpp"
 #include "opencv2/video.hpp"
 #include "opencv2/features2d.hpp"
 #include "opencv2/objdetect.hpp"
 #include "opencv2/calib3d.hpp"
-#include "opencv2/ml.hpp"
 #include "opencv2/highgui.hpp"
 #include "opencv2/contrib.hpp"
+#include "opencv2/ml.hpp"
 
 #endif

modules/core/doc/drawing_functions.rst

@@ -507,10 +507,11 @@ The function draws contour outlines in the image if
 :math:`\texttt{thickness} \ge 0` or fills the area bounded by the contours if
 :math:`\texttt{thickness}<0` . The example below shows how to retrieve connected components from the binary image and label them: ::
 
-    #include "cv.h"
-    #include "highgui.h"
+    #include "opencv2/imgproc.hpp"
+    #include "opencv2/highgui.hpp"
 
     using namespace cv;
+    using namespace std;
 
     int main( int argc, char** argv )
     {
@@ -530,7 +531,7 @@ The function draws contour outlines in the image if
         vector<Vec4i> hierarchy;
 
         findContours( src, contours, hierarchy,
-            CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE );
+            RETR_CCOMP, CHAIN_APPROX_SIMPLE );
 
         // iterate through all the top-level contours,
         // draw each connected component with its own random color
@@ -538,7 +539,7 @@ The function draws contour outlines in the image if
         for( ; idx >= 0; idx = hierarchy[idx][0] )
         {
             Scalar color( rand()&255, rand()&255, rand()&255 );
-            drawContours( dst, contours, idx, color, CV_FILLED, 8, hierarchy );
+            drawContours( dst, contours, idx, color, FILLED, 8, hierarchy );
         }
 
         namedWindow( "Components", 1 );

modules/core/doc/intro.rst

@@ -104,8 +104,8 @@ OpenCV deallocates the memory automatically, as well as automatically allocates
 
 Example: ::
 
-    #include "cv.h"
-    #include "highgui.h"
+    #include "opencv2/imgproc.hpp"
+    #include "opencv2/highgui.hpp"
 
     using namespace cv;
 
@@ -119,7 +119,7 @@ Example: ::
         for(;;)
         {
             cap >> frame;
-            cvtColor(frame, edges, CV_BGR2GRAY);
+            cvtColor(frame, edges, COLOR_BGR2GRAY);
             GaussianBlur(edges, edges, Size(7,7), 1.5, 1.5);
             Canny(edges, edges, 0, 30, 3);
             imshow("edges", edges);

modules/gpu/app/nv_perf_test/main.cpp

@@ -4,7 +4,6 @@
 #include <opencv2/gpu.hpp>
 #include <opencv2/highgui.hpp>
 #include <opencv2/video.hpp>
-#include <opencv2/legacy.hpp>
 #include <opencv2/ts.hpp>
 
 static void printOsInfo()

modules/gpu/perf/perf_core.cpp

@@ -1305,7 +1305,9 @@ PERF_TEST_P(Sz_3Depth, Core_AddWeighted,
 // GEMM
 
 CV_FLAGS(GemmFlags, 0, cv::GEMM_1_T, cv::GEMM_2_T, cv::GEMM_3_T)
-#define ALL_GEMM_FLAGS Values(0, CV_GEMM_A_T, CV_GEMM_B_T, CV_GEMM_C_T, CV_GEMM_A_T | CV_GEMM_B_T, CV_GEMM_A_T | CV_GEMM_C_T, CV_GEMM_A_T | CV_GEMM_B_T | CV_GEMM_C_T)
+#define ALL_GEMM_FLAGS Values(0, (int)cv::GEMM_1_T, (int)cv::GEMM_2_T, (int)cv::GEMM_3_T, \
+                              (int)cv::GEMM_1_T | cv::GEMM_2_T, (int)cv::GEMM_1_T | cv::GEMM_3_T, \
+                              (int)cv::GEMM_1_T | cv::GEMM_2_T | cv::GEMM_3_T)
 
 DEF_PARAM_TEST(Sz_Type_Flags, cv::Size, MatType, GemmFlags);
 
@@ -2071,7 +2073,7 @@ PERF_TEST_P(Sz_Depth, Core_CountNonZero,
 //////////////////////////////////////////////////////////////////////
 // Reduce
 
-CV_ENUM(ReduceCode, CV_REDUCE_SUM, CV_REDUCE_AVG, CV_REDUCE_MAX, CV_REDUCE_MIN)
+CV_ENUM(ReduceCode, cv::REDUCE_SUM, cv::REDUCE_AVG, cv::REDUCE_MAX, cv::REDUCE_MIN)
 #define ALL_REDUCE_CODES ValuesIn(ReduceCode::all())
 
 enum {Rows = 0, Cols = 1};

modules/gpu/perf/perf_imgproc.cpp

@@ -1794,7 +1794,7 @@ PERF_TEST_P(Sz_Dp_MinDist, ImgProc_HoughCircles,
         cv::gpu::GpuMat d_circles;
         cv::gpu::HoughCirclesBuf d_buf;
 
-        TEST_CYCLE() cv::gpu::HoughCircles(d_src, d_circles, d_buf, CV_HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);
+        TEST_CYCLE() cv::gpu::HoughCircles(d_src, d_circles, d_buf, cv::HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);
 
         cv::Mat gpu_circles(d_circles);
         cv::Vec3f* begin = gpu_circles.ptr<cv::Vec3f>(0);
@@ -1806,7 +1806,7 @@ PERF_TEST_P(Sz_Dp_MinDist, ImgProc_HoughCircles,
     {
         std::vector<cv::Vec3f> cpu_circles;
 
-        TEST_CYCLE() cv::HoughCircles(src, cpu_circles, CV_HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);
+        TEST_CYCLE() cv::HoughCircles(src, cpu_circles, cv::HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);
 
         SANITY_CHECK(cpu_circles);
     }

modules/gpu/perf/perf_precomp.hpp

@@ -63,7 +63,6 @@
 #include "opencv2/calib3d.hpp"
 #include "opencv2/imgproc.hpp"
 #include "opencv2/video.hpp"
-#include "opencv2/legacy.hpp"
 #include "opencv2/photo.hpp"
 
 #include "opencv2/core/gpu_private.hpp"

modules/gpu/perf/perf_video.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "perf_precomp.hpp"
+#include "opencv2/legacy.hpp"
 
 using namespace std;
 using namespace testing;

modules/gpu/perf4au/main.cpp

@@ -49,7 +49,6 @@
 #include "opencv2/gpu.hpp"
 #include "opencv2/highgui.hpp"
 #include "opencv2/video.hpp"
-#include "opencv2/legacy.hpp"
 #include "opencv2/ts.hpp"
 #include "opencv2/ts/gpu_perf.hpp"
 

modules/gpu/test/test_precomp.hpp

@@ -73,7 +73,6 @@
 #include "opencv2/ts.hpp"
 #include "opencv2/ts/gpu_test.hpp"
 #include "opencv2/gpu.hpp"
-#include "opencv2/legacy.hpp"
 
 #include "interpolation.hpp"
 #include "main_test_nvidia.h"

modules/imgproc/doc/feature_detection.rst

@@ -306,8 +306,8 @@ The function finds circles in a grayscale image using a modification of the Houg
 
 Example: ::
 
-    #include <cv.h>
-    #include <highgui.h>
+    #include <opencv2/imgproc.hpp>
+    #include <opencv2/highgui.hpp>
     #include <math.h>
 
     using namespace cv;
@@ -317,11 +317,11 @@ Example: ::
         Mat img, gray;
         if( argc != 2 && !(img=imread(argv[1], 1)).data)
             return -1;
-        cvtColor(img, gray, CV_BGR2GRAY);
+        cvtColor(img, gray, COLOR_BGR2GRAY);
         // smooth it, otherwise a lot of false circles may be detected
         GaussianBlur( gray, gray, Size(9, 9), 2, 2 );
         vector<Vec3f> circles;
-        HoughCircles(gray, circles, CV_HOUGH_GRADIENT,
+        HoughCircles(gray, circles, HOUGH_GRADIENT,
                      2, gray->rows/4, 200, 100 );
         for( size_t i = 0; i < circles.size(); i++ )
         {
@@ -426,9 +426,8 @@ The function implements the probabilistic Hough transform algorithm for line det
     /* This is a standalone program. Pass an image name as the first parameter
     of the program.  Switch between standard and probabilistic Hough transform
     by changing "#if 1" to "#if 0" and back */
-    #include <cv.h>
-    #include <highgui.h>
-    #include <math.h>
+    #include <opencv2/imgproc.hpp>
+    #include <opencv2/highgui.hpp>
 
     using namespace cv;
 
@@ -439,7 +438,7 @@ The function implements the probabilistic Hough transform algorithm for line det
             return -1;
 
         Canny( src, dst, 50, 200, 3 );
-        cvtColor( dst, color_dst, CV_GRAY2BGR );
+        cvtColor( dst, color_dst, COLOR_GRAY2BGR );
 
     #if 0
         vector<Vec2f> lines;

modules/imgproc/doc/histograms.rst

@@ -42,8 +42,8 @@ arrays. The elements of a tuple used to increment
 a histogram bin are taken from the corresponding
 input arrays at the same location. The sample below shows how to compute a 2D Hue-Saturation histogram for a color image. ::
 
-    #include <cv.h>
-    #include <highgui.h>
+    #include <opencv2/imgproc.hpp>
+    #include <opencv2/highgui.hpp>
 
     using namespace cv;
 
@@ -53,7 +53,7 @@ input arrays at the same location. The sample below shows how to compute a 2D Hu
         if( argc != 2 || !(src=imread(argv[1], 1)).data )
             return -1;
 
-        cvtColor(src, hsv, CV_BGR2HSV);
+        cvtColor(src, hsv, COLOR_BGR2HSV);
 
         // Quantize the hue to 30 levels
         // and the saturation to 32 levels

modules/imgproc/include/opencv2/imgproc/imgproc_c.h

@@ -43,7 +43,6 @@
 #ifndef __OPENCV_IMGPROC_IMGPROC_C_H__
 #define __OPENCV_IMGPROC_IMGPROC_C_H__
 
-#include "opencv2/core/core_c.h"
 #include "opencv2/imgproc/types_c.h"
 
 #ifdef __cplusplus

modules/legacy/include/opencv2/legacy/compat.hpp

@@ -39,14 +39,6 @@
 //
 //M*/
 
-/*
-   A few macros and definitions for backward compatibility
-   with the previous versions of OpenCV. They are obsolete and
-   are likely to be removed in future. To check whether your code
-   uses any of these, define CV_NO_BACKWARD_COMPATIBILITY before
-   including cv.h.
-*/
-
 #ifndef __OPENCV_COMPAT_HPP__
 #define __OPENCV_COMPAT_HPP__
 

modules/legacy/src/corrimages.cpp

@@ -40,11 +40,6 @@
 //M*/
 
 #include "precomp.hpp"
-//#include "cvtypes.h"
-//#include <float.h>
-//#include <limits.h>
-//#include "cv.h"
-//#include "highgui.h"
 #if 0
 #include <stdio.h>
 

modules/legacy/src/levmarprojbandle.cpp

@@ -41,11 +41,8 @@
 
 
 #include "precomp.hpp"
-//#include "cvtypes.h"
 #include <float.h>
 #include <limits.h>
-//#include "cv.h"
-
 #include <stdio.h>
 
 void icvReconstructPoints4DStatus(CvMat** projPoints, CvMat **projMatrs, CvMat** presPoints, CvMat *points4D,int numImages,CvMat **projError=0);

modules/legacy/src/trifocal.cpp

@@ -42,12 +42,8 @@
 #include "precomp.hpp"
 #include "opencv2/calib3d/calib3d_c.h"
 
-//#include "cvtypes.h"
 #include <float.h>
 #include <limits.h>
-//#include "cv.h"
-//#include "windows.h"
-
 #include <stdio.h>
 
 /* Valery Mosyagin */

modules/softcascade/src/octave.cpp

@@ -41,6 +41,7 @@
 //M*/
 
 #include "precomp.hpp"
+#include "opencv2/ml.hpp"
 #include <queue>
 
 using cv::InputArray;

modules/softcascade/src/precomp.hpp

@@ -45,7 +45,6 @@
 
 #include "opencv2/softcascade.hpp"
 #include "opencv2/imgproc.hpp"
-#include "opencv2/ml.hpp"
 
 #include "opencv2/core/private.hpp"
 #include "opencv2/core/gpu_private.hpp"

modules/softcascade/src/softcascade_init.cpp

@@ -63,22 +63,4 @@ bool initModule_softcascade(void)
     return (sc1->info() != 0) && (sc->info() != 0);
 }
 
-namespace internal {
-void error(const char *error_string, const char *file, const int line, const char *func)
-{
-    int code = CV_GpuApiCallError;
-
-    if (std::uncaught_exception())
-    {
-        const char* errorStr = cvErrorStr(code);
-        const char* function = func ? func : "unknown function";
-
-        std::cerr << "OpenCV Error: " << errorStr << "(" << error_string << ") in " << function << ", file " << file << ", line " << line;
-        std::cerr.flush();
-    }
-    else
-        cv::error( cv::Exception(code, error_string, func, file, line) );
-}
-}
-
 } }

modules/ts/src/precomp.hpp

@@ -1,8 +1,5 @@
 #include "opencv2/ts.hpp"
-
-#include "opencv2/core/core_c.h"
 #include "opencv2/core/utility.hpp"
-
 #include "opencv2/core/private.hpp"
 
 #ifdef GTEST_LINKED_AS_SHARED_LIBRARY

modules/ts/src/ts.cpp

@@ -40,6 +40,8 @@
 //M*/
 
 #include "precomp.hpp"
+#include "opencv2/core/core_c.h"
+
 #include <ctype.h>
 #include <stdarg.h>
 #include <stdlib.h>

modules/ts/src/ts_arrtest.cpp

@@ -40,6 +40,7 @@
 //M*/
 
 #include "precomp.hpp"
+#include "opencv2/core/core_c.h"
 
 namespace cvtest
 {

modules/ts/src/ts_func.cpp

@@ -645,7 +645,7 @@ void erode(const Mat& _src, Mat& dst, const Mat& _kernel, Point anchor,
     }
     if( anchor == Point(-1,-1) )
         anchor = Point(kernel.cols/2, kernel.rows/2);
-    if( borderType == IPL_BORDER_CONSTANT )
+    if( borderType == BORDER_CONSTANT )
         borderValue = getMaxVal(src.depth());
     copyMakeBorder(_src, src, anchor.y, kernel.rows - anchor.y - 1,
                    anchor.x, kernel.cols - anchor.x - 1,
@@ -702,7 +702,7 @@ void dilate(const Mat& _src, Mat& dst, const Mat& _kernel, Point anchor,
     }
     if( anchor == Point(-1,-1) )
         anchor = Point(kernel.cols/2, kernel.rows/2);
-    if( borderType == IPL_BORDER_CONSTANT )
+    if( borderType == BORDER_CONSTANT )
         borderValue = getMinVal(src.depth());
     copyMakeBorder(_src, src, anchor.y, kernel.rows - anchor.y - 1,
                    anchor.x, kernel.cols - anchor.x - 1,
@@ -778,7 +778,7 @@ void filter2D(const Mat& _src, Mat& dst, int ddepth, const Mat& kernel,
     CV_Assert( kernel.type() == CV_32F || kernel.type() == CV_64F );
     if( anchor == Point(-1,-1) )
         anchor = Point(kernel.cols/2, kernel.rows/2);
-    if( borderType == IPL_BORDER_CONSTANT )
+    if( borderType == BORDER_CONSTANT )
         borderValue = getMinVal(src.depth());
     copyMakeBorder(_src, src, anchor.y, kernel.rows - anchor.y - 1,
                    anchor.x, kernel.cols - anchor.x - 1,
@@ -830,11 +830,11 @@ static int borderInterpolate( int p, int len, int borderType )
 {
     if( (unsigned)p < (unsigned)len )
         ;
-    else if( borderType == IPL_BORDER_REPLICATE )
+    else if( borderType == BORDER_REPLICATE )
         p = p < 0 ? 0 : len - 1;
-    else if( borderType == IPL_BORDER_REFLECT || borderType == IPL_BORDER_REFLECT_101 )
+    else if( borderType == BORDER_REFLECT || borderType == BORDER_REFLECT_101 )
     {
-        int delta = borderType == IPL_BORDER_REFLECT_101;
+        int delta = borderType == BORDER_REFLECT_101;
         if( len == 1 )
             return 0;
         do
@@ -846,17 +846,17 @@ static int borderInterpolate( int p, int len, int borderType )
         }
         while( (unsigned)p >= (unsigned)len );
     }
-    else if( borderType == IPL_BORDER_WRAP )
+    else if( borderType == BORDER_WRAP )
     {
         if( p < 0 )
             p -= ((p-len+1)/len)*len;
         if( p >= len )
             p %= len;
     }
-    else if( borderType == IPL_BORDER_CONSTANT )
+    else if( borderType == BORDER_CONSTANT )
         p = -1;
     else
-        CV_Error( CV_StsBadArg, "Unknown/unsupported border type" );
+        CV_Error( Error::StsBadArg, "Unknown/unsupported border type" );
     return p;
 }
 
@@ -868,7 +868,7 @@ void copyMakeBorder(const Mat& src, Mat& dst, int top, int bottom, int left, int
     int i, j, k, esz = (int)src.elemSize();
     int width = src.cols*esz, width1 = dst.cols*esz;
 
-    if( borderType == IPL_BORDER_CONSTANT )
+    if( borderType == BORDER_CONSTANT )
     {
         vector<uchar> valvec((src.cols + left + right)*esz);
         uchar* val = &valvec[0];
@@ -1304,7 +1304,7 @@ double norm(const Mat& src, int normType, const Mat& mask)
             result = norm_((const double*)sptr, total, cn, normType, result, mptr);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         };
     }
     if( normType0 == NORM_L2 )
@@ -1382,7 +1382,7 @@ double norm(const Mat& src1, const Mat& src2, int normType, const Mat& mask)
             result = norm_((const double*)sptr1, (const double*)sptr2, total, cn, normType, result, mptr);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         };
     }
     if( normType0 == NORM_L2 )
@@ -1441,7 +1441,7 @@ double crossCorr(const Mat& src1, const Mat& src2)
             result += crossCorr_((const double*)sptr1, (const double*)sptr2, total);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         };
     }
     return result;
@@ -1574,7 +1574,7 @@ compare_(const _Tp* src1, const _Tp* src2, uchar* dst, size_t total, int cmpop)
             dst[i] = src1[i] > src2[i] ? 255 : 0;
         break;
     default:
-        CV_Error(CV_StsBadArg, "Unknown comparison operation");
+        CV_Error(Error::StsBadArg, "Unknown comparison operation");
     }
 }
 
@@ -1610,7 +1610,7 @@ compareS_(const _Tp* src1, _WTp value, uchar* dst, size_t total, int cmpop)
             dst[i] = src1[i] > value ? 255 : 0;
         break;
     default:
-        CV_Error(CV_StsBadArg, "Unknown comparison operation");
+        CV_Error(Error::StsBadArg, "Unknown comparison operation");
     }
 }
 
@@ -1657,7 +1657,7 @@ void compare(const Mat& src1, const Mat& src2, Mat& dst, int cmpop)
             compare_((const double*)sptr1, (const double*)sptr2, dptr, total, cmpop);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         }
     }
 }
@@ -1704,7 +1704,7 @@ void compare(const Mat& src, double value, Mat& dst, int cmpop)
             compareS_((const double*)sptr, value, dptr, total, cmpop);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         }
     }
 }
@@ -1836,7 +1836,7 @@ bool cmpUlps(const Mat& src1, const Mat& src2, int imaxDiff, double* _realmaxdif
             realmaxdiff = cmpUlpsFlt_((const int64*)sptr1, (const int64*)sptr2, total, imaxDiff, startidx, idx);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         }
 
         if(_realmaxdiff)
@@ -1925,7 +1925,7 @@ int check( const Mat& a, double fmin, double fmax, vector<int>* _idx )
                 checkFlt_((const double*)aptr, total, fmin, fmax, startidx, idx);
                 break;
             default:
-                CV_Error(CV_StsUnsupportedFormat, "");
+                CV_Error(Error::StsUnsupportedFormat, "");
         }
 
         if( idx != 0 )
@@ -2344,7 +2344,7 @@ void transform( const Mat& src, Mat& dst, const Mat& transmat, const Mat& _shift
             transform_((const double*)sptr, (double*)dptr, total, scn, dcn, mat);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         }
     }
 }
@@ -2401,7 +2401,7 @@ static void minmax(const Mat& src1, const Mat& src2, Mat& dst, char op)
             minmax_((const double*)sptr1, (const double*)sptr2, (double*)dptr, total, op);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         }
     }
 }
@@ -2469,7 +2469,7 @@ static void minmax(const Mat& src1, double val, Mat& dst, char op)
             minmax_((const double*)sptr1, saturate_cast<double>(val), (double*)dptr, total, op);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         }
     }
 }
@@ -2541,7 +2541,7 @@ static void muldiv(const Mat& src1, const Mat& src2, Mat& dst, double scale, cha
             muldiv_((const double*)sptr1, (const double*)sptr2, (double*)dptr, total, scale, op);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         }
     }
 }
@@ -2626,7 +2626,7 @@ Scalar mean(const Mat& src, const Mat& mask)
             mean_((const double*)sptr, mptr, total, cn, sum, nz);
             break;
         default:
-            CV_Error(CV_StsUnsupportedFormat, "");
+            CV_Error(Error::StsUnsupportedFormat, "");
         }
     }
 
@@ -2863,7 +2863,7 @@ static void writeElems(std::ostream& out, const void* data, int nelems, int dept
         out.precision(pp);
     }
     else
-        CV_Error(CV_StsUnsupportedFormat, "");
+        CV_Error(Error::StsUnsupportedFormat, "");
 }
 
 

modules/video/src/optflowgf.cpp

@@ -56,7 +56,7 @@ FarnebackPolyExp( const Mat& src, Mat& dst, int n, double sigma )
 {
     int k, x, y;
 
-    assert( src.type() == CV_32FC1 );
+    CV_Assert( src.type() == CV_32FC1 );
     int width = src.cols;
     int height = src.rows;
     AutoBuffer<float> kbuf(n*6 + 3), _row((width + n*2)*3);

modules/video/src/precomp.hpp

@@ -44,8 +44,6 @@
 #define __OPENCV_PRECOMP_H__
 
 #include "opencv2/video.hpp"
-#include "opencv2/video/tracking_c.h"
-
 #include "opencv2/core/utility.hpp"
 #include "opencv2/core/private.hpp"
 

samples/cpp/OpenEXRimages_HighDynamicRange_Retina_toneMapping.cpp

@@ -10,7 +10,8 @@
 #include <iostream>
 #include <cstring>
 
-#include "opencv2/opencv.hpp"
+#include "opencv2/contrib.hpp"
+#include "opencv2/highgui.hpp"
 
 static void help(std::string errorMessage)
 {
@@ -28,7 +29,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
     cv::Mat displayedCurveImage = cv::Mat::ones(200, curve.size().height, CV_8U);
 
     cv::Mat windowNormalizedCurve;
-    normalize(curve, windowNormalizedCurve, 0, 200, CV_MINMAX, CV_32F);
+    normalize(curve, windowNormalizedCurve, 0, 200, cv::NORM_MINMAX, CV_32F);
 
     displayedCurveImage = cv::Scalar::all(255); // set a white background
     int binW = cvRound((double)displayedCurveImage.cols/curve.size().height);
@@ -80,8 +81,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
      normalize(hist, normalizedHist, 1, 0, cv::NORM_L1, CV_32F); // normalize histogram so that its sum equals 1
 
      double min_val, max_val;
-     CvMat histArr(normalizedHist);
-     cvMinMaxLoc(&histArr, &min_val, &max_val);
+     minMaxLoc(normalizedHist, &min_val, &max_val);
      //std::cout<<"Hist max,min = "<<max_val<<", "<<min_val<<std::endl;
 
      // compute density probability

samples/cpp/OpenEXRimages_HighDynamicRange_Retina_toneMapping_video.cpp

@@ -14,7 +14,8 @@
 #include <stdio.h>
 #include <cstring>
 
-#include "opencv2/opencv.hpp"
+#include "opencv2/contrib.hpp"
+#include "opencv2/highgui.hpp"
 
 static void help(std::string errorMessage)
 {
@@ -38,7 +39,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
     cv::Mat displayedCurveImage = cv::Mat::ones(200, curve.size().height, CV_8U);
 
     cv::Mat windowNormalizedCurve;
-    normalize(curve, windowNormalizedCurve, 0, 200, CV_MINMAX, CV_32F);
+    normalize(curve, windowNormalizedCurve, 0, 200, cv::NORM_MINMAX, CV_32F);
 
     displayedCurveImage = cv::Scalar::all(255); // set a white background
     int binW = cvRound((double)displayedCurveImage.cols/curve.size().height);

samples/cpp/bgfg_gmg.cpp

@@ -5,7 +5,8 @@
  *      Author: Andrew B. Godbehere
  */
 
-#include <opencv2/opencv.hpp>
+#include "opencv2/video.hpp"
+#include "opencv2/highgui.hpp"
 #include <opencv2/core/utility.hpp>
 #include <iostream>
 

samples/cpp/detector_descriptor_evaluation.cpp

@@ -39,10 +39,10 @@
 //
 //M*/
 
-#include "opencv2/imgproc/imgproc.hpp"
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/features2d/features2d.hpp"
-#include "opencv2/legacy/legacy.hpp"
+#include "opencv2/imgproc.hpp"
+#include "opencv2/highgui.hpp"
+#include "opencv2/features2d.hpp"
+#include "opencv2/legacy.hpp"
 
 #include <limits>
 #include <cstdio>
@@ -93,7 +93,7 @@ static void calcKeyPointProjections( const vector<KeyPoint>& src, const Mat_<dou
 {
     if(  !src.empty() )
     {
-        assert( !H.empty() && H.cols == 3 && H.rows == 3);
+        CV_Assert( !H.empty() && H.cols == 3 && H.rows == 3);
         dst.resize(src.size());
         vector<KeyPoint>::const_iterator srcIt = src.begin();
         vector<KeyPoint>::iterator       dstIt = dst.begin();
@@ -109,7 +109,7 @@ static void calcKeyPointProjections( const vector<KeyPoint>& src, const Mat_<dou
             Mat_<double> Aff; linearizeHomographyAt(H, srcIt->pt, Aff);
             Mat_<double> dstM; invert(Aff*invM*Aff.t(), dstM);
             Mat_<double> eval; eigen( dstM, eval );
-            assert( eval(0,0) && eval(1,0) );
+            CV_Assert( eval(0,0) && eval(1,0) );
             float dstSize = (float)pow(1./(eval(0,0)*eval(1,0)), 0.25);
 
             // TODO: check angle projection
@@ -526,7 +526,7 @@ inline void writeKeypoints( FileStorage& fs, const vector<KeyPoint>& keypoints,
 
 inline void readKeypoints( FileStorage& fs, vector<KeyPoint>& keypoints, int imgIdx )
 {
-    assert( fs.isOpened() );
+    CV_Assert( fs.isOpened() );
     stringstream imgName; imgName << "img" << imgIdx;
     read( fs[imgName.str()], keypoints);
 }

samples/cpp/em.cpp

@@ -1,5 +1,5 @@
-#include "opencv2/legacy/legacy.hpp"
-#include "opencv2/highgui/highgui.hpp"
+#include "opencv2/highgui.hpp"
+#include "opencv2/legacy.hpp"
 
 using namespace cv;
 
@@ -45,7 +45,7 @@ int main( int /*argc*/, char** /*argv*/ )
     params.start_step         = CvEM::START_AUTO_STEP;
     params.term_crit.max_iter = 300;
     params.term_crit.epsilon  = 0.1;
-    params.term_crit.type     = CV_TERMCRIT_ITER|CV_TERMCRIT_EPS;
+    params.term_crit.type     = TermCriteria::COUNT|TermCriteria::EPS;
 
     // cluster the data
     em_model.train( samples, Mat(), params, &labels );
@@ -76,7 +76,7 @@ int main( int /*argc*/, char** /*argv*/ )
             int response = cvRound(em_model.predict( sample ));
             Scalar c = colors[response];
 
-            circle( img, Point(j, i), 1, c*0.75, CV_FILLED );
+            circle( img, Point(j, i), 1, c*0.75, FILLED );
         }
     }
 
@@ -84,7 +84,7 @@ int main( int /*argc*/, char** /*argv*/ )
     for( i = 0; i < nsamples; i++ )
     {
         Point pt(cvRound(samples.at<float>(i, 0)), cvRound(samples.at<float>(i, 1)));
-        circle( img, pt, 1, colors[labels.at<int>(i)], CV_FILLED );
+        circle( img, pt, 1, colors[labels.at<int>(i)], FILLED );
     }
 
     imshow( "EM-clustering result", img );

samples/cpp/fabmap_sample.cpp

@@ -49,9 +49,11 @@
 //
 //M*/
 
+#include <iostream>
 
-#include "opencv2/opencv.hpp"
-#include "opencv2/nonfree/nonfree.hpp"
+#include "opencv2/contrib.hpp"
+#include "opencv2/highgui.hpp"
+#include "opencv2/nonfree.hpp"
 
 using namespace cv;
 using namespace std;

samples/cpp/freak_demo.cpp

@@ -43,7 +43,6 @@
 #include <opencv2/highgui.hpp>
 #include <opencv2/features2d.hpp>
 #include <opencv2/nonfree.hpp>
-#include <opencv2/legacy.hpp>
 
 using namespace cv;
 
@@ -95,9 +94,9 @@ int main( int argc, char** argv ) {
 
     // MATCHER
     // The standard Hamming distance can be used such as
-    // BruteForceMatcher<Hamming> matcher;
+    // BFMatcher matcher(NORM_HAMMING);
     // or the proposed cascade of hamming distance using SSSE3
-    BruteForceMatcher<Hamming> matcher;
+    BFMatcher matcher(NORM_HAMMING);
 
     // detect
     double t = (double)getTickCount();

samples/cpp/hybridtrackingsample.cpp

@@ -11,10 +11,6 @@
  *
  */
 
-//#include <cv.h>
-//#include <ml.h>
-//#include <cvaux.h>
-//#include <highgui.h>
 #include <stdio.h>
 #include <time.h>
 #include <iostream>

samples/cpp/logpolar_bsm.cpp

@@ -6,7 +6,9 @@
 * PSPC-lab - University of Genoa
 */
 
-#include "opencv2/opencv.hpp"
+#include "opencv2/contrib.hpp"
+#include "opencv2/highgui.hpp"
+
 #include <iostream>
 #include <cmath>
 

samples/cpp/morphology2.cpp

@@ -1,5 +1,3 @@
-#define CV_NO_BACKWARD_COMPATIBILITY
-
 #include "opencv2/imgproc/imgproc.hpp"
 #include "opencv2/highgui/highgui.hpp"
 #include <stdlib.h>

samples/cpp/retinaDemo.cpp

@@ -9,7 +9,8 @@
 #include <iostream>
 #include <cstring>
 
-#include "opencv2/opencv.hpp"
+#include "opencv2/contrib.hpp"
+#include "opencv2/highgui.hpp"
 
 static void help(std::string errorMessage)
 {

samples/cpp/tutorial_code/contrib/retina_tutorial.cpp

@@ -9,7 +9,8 @@
 #include <iostream>
 #include <cstring>
 
-#include "opencv2/opencv.hpp"
+#include "opencv2/contrib.hpp"
+#include "opencv2/highgui.hpp"
 
 static void help(std::string errorMessage)
 {

samples/gpu/performance/tests.cpp

@@ -1,10 +1,11 @@
 #include <stdexcept>
-#include "opencv2/imgproc/imgproc.hpp"
-#include "opencv2/highgui/highgui.hpp"
-#include "opencv2/calib3d/calib3d.hpp"
-#include "opencv2/video/video.hpp"
-#include "opencv2/gpu/gpu.hpp"
-#include "opencv2/legacy/legacy.hpp"
+#include "opencv2/imgproc.hpp"
+#include "opencv2/highgui.hpp"
+#include "opencv2/calib3d.hpp"
+#include "opencv2/video.hpp"
+#include "opencv2/gpu.hpp"
+
+#include "opencv2/legacy.hpp"
 #include "performance.h"
 
 #include "opencv2/opencv_modules.hpp"
@@ -21,7 +22,7 @@ static void InitMatchTemplate()
     Mat src; gen(src, 500, 500, CV_32F, 0, 1);
     Mat templ; gen(templ, 500, 500, CV_32F, 0, 1);
     gpu::GpuMat d_src(src), d_templ(templ), d_dst;
-    gpu::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
+    gpu::matchTemplate(d_src, d_templ, d_dst, TM_CCORR);
 }
 
 
@@ -39,17 +40,17 @@ TEST(matchTemplate)
         SUBTEST << src.cols << 'x' << src.rows << ", 32FC1" << ", templ " << templ_size << 'x' << templ_size << ", CCORR";
 
         gen(templ, templ_size, templ_size, CV_32F, 0, 1);
-        matchTemplate(src, templ, dst, CV_TM_CCORR);
+        matchTemplate(src, templ, dst, TM_CCORR);
 
         CPU_ON;
-        matchTemplate(src, templ, dst, CV_TM_CCORR);
+        matchTemplate(src, templ, dst, TM_CCORR);
         CPU_OFF;
 
         d_templ.upload(templ);
-        gpu::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
+        gpu::matchTemplate(d_src, d_templ, d_dst, TM_CCORR);
 
         GPU_ON;
-        gpu::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
+        gpu::matchTemplate(d_src, d_templ, d_dst, TM_CCORR);
         GPU_OFF;
     }
 }
@@ -604,120 +605,120 @@ TEST(cvtColor)
     gen(src, 4000, 4000, CV_8UC1, 0, 255);
     d_src.upload(src);
 
-    SUBTEST << "4000x4000, 8UC1, CV_GRAY2BGRA";
+    SUBTEST << "4000x4000, 8UC1, COLOR_GRAY2BGRA";
 
-    cvtColor(src, dst, CV_GRAY2BGRA, 4);
+    cvtColor(src, dst, COLOR_GRAY2BGRA, 4);
 
     CPU_ON;
-    cvtColor(src, dst, CV_GRAY2BGRA, 4);
+    cvtColor(src, dst, COLOR_GRAY2BGRA, 4);
     CPU_OFF;
 
-    gpu::cvtColor(d_src, d_dst, CV_GRAY2BGRA, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_GRAY2BGRA, 4);
 
     GPU_ON;
-    gpu::cvtColor(d_src, d_dst, CV_GRAY2BGRA, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_GRAY2BGRA, 4);
     GPU_OFF;
 
     cv::swap(src, dst);
     d_src.swap(d_dst);
 
-    SUBTEST << "4000x4000, 8UC3 vs 8UC4, CV_BGR2YCrCb";
+    SUBTEST << "4000x4000, 8UC3 vs 8UC4, COLOR_BGR2YCrCb";
 
-    cvtColor(src, dst, CV_BGR2YCrCb);
+    cvtColor(src, dst, COLOR_BGR2YCrCb);
 
     CPU_ON;
-    cvtColor(src, dst, CV_BGR2YCrCb);
+    cvtColor(src, dst, COLOR_BGR2YCrCb);
     CPU_OFF;
 
-    gpu::cvtColor(d_src, d_dst, CV_BGR2YCrCb, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_BGR2YCrCb, 4);
 
     GPU_ON;
-    gpu::cvtColor(d_src, d_dst, CV_BGR2YCrCb, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_BGR2YCrCb, 4);
     GPU_OFF;
 
     cv::swap(src, dst);
     d_src.swap(d_dst);
 
-    SUBTEST << "4000x4000, 8UC4, CV_YCrCb2BGR";
+    SUBTEST << "4000x4000, 8UC4, COLOR_YCrCb2BGR";
 
-    cvtColor(src, dst, CV_YCrCb2BGR, 4);
+    cvtColor(src, dst, COLOR_YCrCb2BGR, 4);
 
     CPU_ON;
-    cvtColor(src, dst, CV_YCrCb2BGR, 4);
+    cvtColor(src, dst, COLOR_YCrCb2BGR, 4);
     CPU_OFF;
 
-    gpu::cvtColor(d_src, d_dst, CV_YCrCb2BGR, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_YCrCb2BGR, 4);
 
     GPU_ON;
-    gpu::cvtColor(d_src, d_dst, CV_YCrCb2BGR, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_YCrCb2BGR, 4);
     GPU_OFF;
 
     cv::swap(src, dst);
     d_src.swap(d_dst);
 
-    SUBTEST << "4000x4000, 8UC3 vs 8UC4, CV_BGR2XYZ";
+    SUBTEST << "4000x4000, 8UC3 vs 8UC4, COLOR_BGR2XYZ";
 
-    cvtColor(src, dst, CV_BGR2XYZ);
+    cvtColor(src, dst, COLOR_BGR2XYZ);
 
     CPU_ON;
-    cvtColor(src, dst, CV_BGR2XYZ);
+    cvtColor(src, dst, COLOR_BGR2XYZ);
     CPU_OFF;
 
-    gpu::cvtColor(d_src, d_dst, CV_BGR2XYZ, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_BGR2XYZ, 4);
 
     GPU_ON;
-    gpu::cvtColor(d_src, d_dst, CV_BGR2XYZ, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_BGR2XYZ, 4);
     GPU_OFF;
 
     cv::swap(src, dst);
     d_src.swap(d_dst);
 
-    SUBTEST << "4000x4000, 8UC4, CV_XYZ2BGR";
+    SUBTEST << "4000x4000, 8UC4, COLOR_XYZ2BGR";
 
-    cvtColor(src, dst, CV_XYZ2BGR, 4);
+    cvtColor(src, dst, COLOR_XYZ2BGR, 4);
 
     CPU_ON;
-    cvtColor(src, dst, CV_XYZ2BGR, 4);
+    cvtColor(src, dst, COLOR_XYZ2BGR, 4);
     CPU_OFF;
 
-    gpu::cvtColor(d_src, d_dst, CV_XYZ2BGR, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_XYZ2BGR, 4);
 
     GPU_ON;
-    gpu::cvtColor(d_src, d_dst, CV_XYZ2BGR, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_XYZ2BGR, 4);
     GPU_OFF;
 
     cv::swap(src, dst);
     d_src.swap(d_dst);
 
-    SUBTEST << "4000x4000, 8UC3 vs 8UC4, CV_BGR2HSV";
+    SUBTEST << "4000x4000, 8UC3 vs 8UC4, COLOR_BGR2HSV";
 
-    cvtColor(src, dst, CV_BGR2HSV);
+    cvtColor(src, dst, COLOR_BGR2HSV);
 
     CPU_ON;
-    cvtColor(src, dst, CV_BGR2HSV);
+    cvtColor(src, dst, COLOR_BGR2HSV);
     CPU_OFF;
 
-    gpu::cvtColor(d_src, d_dst, CV_BGR2HSV, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_BGR2HSV, 4);
 
     GPU_ON;
-    gpu::cvtColor(d_src, d_dst, CV_BGR2HSV, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_BGR2HSV, 4);
     GPU_OFF;
 
     cv::swap(src, dst);
     d_src.swap(d_dst);
 
-    SUBTEST << "4000x4000, 8UC4, CV_HSV2BGR";
+    SUBTEST << "4000x4000, 8UC4, COLOR_HSV2BGR";
 
-    cvtColor(src, dst, CV_HSV2BGR, 4);
+    cvtColor(src, dst, COLOR_HSV2BGR, 4);
 
     CPU_ON;
-    cvtColor(src, dst, CV_HSV2BGR, 4);
+    cvtColor(src, dst, COLOR_HSV2BGR, 4);
     CPU_OFF;
 
-    gpu::cvtColor(d_src, d_dst, CV_HSV2BGR, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_HSV2BGR, 4);
 
     GPU_ON;
-    gpu::cvtColor(d_src, d_dst, CV_HSV2BGR, 4);
+    gpu::cvtColor(d_src, d_dst, COLOR_HSV2BGR, 4);
     GPU_OFF;
 
     cv::swap(src, dst);
@@ -1093,30 +1094,30 @@ TEST(reduce)
 
         SUBTEST << size << 'x' << size << ", dim = 0";
 
-        reduce(src, dst0, 0, CV_REDUCE_MIN);
+        reduce(src, dst0, 0, REDUCE_MIN);
 
         CPU_ON;
-        reduce(src, dst0, 0, CV_REDUCE_MIN);
+        reduce(src, dst0, 0, REDUCE_MIN);
         CPU_OFF;
 
-        gpu::reduce(d_src, d_dst0, 0, CV_REDUCE_MIN);
+        gpu::reduce(d_src, d_dst0, 0, REDUCE_MIN);
 
         GPU_ON;
-        gpu::reduce(d_src, d_dst0, 0, CV_REDUCE_MIN);
+        gpu::reduce(d_src, d_dst0, 0, REDUCE_MIN);
         GPU_OFF;
 
         SUBTEST << size << 'x' << size << ", dim = 1";
 
-        reduce(src, dst1, 1, CV_REDUCE_MIN);
+        reduce(src, dst1, 1, REDUCE_MIN);
 
         CPU_ON;
-        reduce(src, dst1, 1, CV_REDUCE_MIN);
+        reduce(src, dst1, 1, REDUCE_MIN);
         CPU_OFF;
 
-        gpu::reduce(d_src, d_dst1, 1, CV_REDUCE_MIN);
+        gpu::reduce(d_src, d_dst1, 1, REDUCE_MIN);
 
         GPU_ON;
-        gpu::reduce(d_src, d_dst1, 1, CV_REDUCE_MIN);
+        gpu::reduce(d_src, d_dst1, 1, REDUCE_MIN);
         GPU_OFF;
     }
 }