Merge pull request #1722 from StevenPuttemans:feature_1631_second

samples/cpp/3calibration.cpp

@@ -271,7 +271,7 @@ int main( int argc, char** argv )
             {
                 vector<Point2f> ptvec;
                 imageSize = view.size();
-                cvtColor(view, viewGray, CV_BGR2GRAY);
+                cvtColor(view, viewGray, COLOR_BGR2GRAY);
                 bool found = findChessboardCorners( view, boardSize, ptvec, CV_CALIB_CB_ADAPTIVE_THRESH );
 
                 drawChessboardCorners( view, boardSize, Mat(ptvec), found );

samples/cpp/OpenEXRimages_HDR_Retina_toneMapping.cpp

 
 //============================================================================
-// Name        : HighDynamicRange_RetinaCompression.cpp
+// Name        : OpenEXRimages_HDR_Retina_toneMapping.cpp
 // Author      : Alexandre Benoit (benoit.alexandre.vision@gmail.com)
 // Version     : 0.1
 // Copyright   : Alexandre Benoit, LISTIC Lab, july 2011
-// Description : HighDynamicRange compression (tone mapping) with the help of the Gipsa/Listic's retina in C++, Ansi-style
+// Description : HighDynamicRange retina tone mapping with the help of the Gipsa/Listic's retina in C++, Ansi-style
 //============================================================================
 
 #include <iostream>
@@ -69,7 +69,7 @@ static void drawPlot(const cv::Mat curve, const std::string figureTitle, const i
      {
          cv::Mat rgbIntImg;
          outputMat.convertTo(rgbIntImg, CV_8UC3);
-         cvtColor(rgbIntImg, intGrayImage, CV_BGR2GRAY);
+         cvtColor(rgbIntImg, intGrayImage, cv::COLOR_BGR2GRAY);
      }
 
      // get histogram density probability in order to cut values under above edges limits (here 5-95%)... usefull for HDR pixel errors cancellation

samples/cpp/OpenEXRimages_HDR_Retina_toneMapping_video.cpp

@@ -4,7 +4,7 @@
 // Author      : Alexandre Benoit (benoit.alexandre.vision@gmail.com)
 // Version     : 0.2
 // Copyright   : Alexandre Benoit, LISTIC Lab, december 2011
-// Description : HighDynamicRange compression (tone mapping) for image sequences with the help of the Gipsa/Listic's retina in C++, Ansi-style
+// Description : HighDynamicRange retina tone mapping for image sequences with the help of the Gipsa/Listic's retina in C++, Ansi-style
 // Known issues: the input OpenEXR sequences can have bad computed pixels that should be removed
 //               => a simple method consists of cutting histogram edges (a slider for this on the UI is provided)
 //               => however, in image sequences, this histogramm cut must be done in an elegant way from frame to frame... still not done...
@@ -92,7 +92,7 @@ static void rescaleGrayLevelMat(const cv::Mat &inputMat, cv::Mat &outputMat, con
      {
          cv::Mat rgbIntImg;
          normalisedImage.convertTo(rgbIntImg, CV_8UC3);
-         cvtColor(rgbIntImg, intGrayImage, CV_BGR2GRAY);
+         cvtColor(rgbIntImg, intGrayImage, cv::COLOR_BGR2GRAY);
      }
 
      // get histogram density probability in order to cut values under above edges limits (here 5-95%)... usefull for HDR pixel errors cancellation

samples/cpp/Qt_sample/main.cpp

@@ -4,7 +4,7 @@
 
 #include <iostream>
 #include <vector>
-#include <opencv/highgui.h>
+#include <opencv2/highgui/highgui.hpp>
 
 #if defined WIN32 || defined _WIN32 || defined WINCE
     #include <windows.h>
@@ -20,8 +20,7 @@
     #include <GL/gl.h>
 #endif
 
-#include <opencv/cxcore.h>
-#include <opencv/cv.h>
+#include <opencv2/core/core.hpp>
 
 using namespace std;
 using namespace cv;
@@ -111,12 +110,12 @@ static void initPOSIT(std::vector<CvPoint3D32f> *modelPoints)
     modelPoints->push_back(cvPoint3D32f(0.0f, CUBE_SIZE, 0.0f));
 }
 
-static void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source, IplImage* grayImage)
+static void foundCorners(vector<CvPoint2D32f> *srcImagePoints, const Mat& source, Mat& grayImage)
 {
-    cvCvtColor(source,grayImage,CV_RGB2GRAY);
-    cvSmooth( grayImage, grayImage,CV_GAUSSIAN,11);
-    cvNormalize(grayImage, grayImage, 0, 255, CV_MINMAX);
-    cvThreshold( grayImage, grayImage, 26, 255, CV_THRESH_BINARY_INV);//25
+    cvtColor(source, grayImage, COLOR_RGB2GRAY);
+    GaussianBlur(grayImage, grayImage, Size(11,11), 0, 0);
+    normalize(grayImage, grayImage, 0, 255, NORM_MINMAX);
+    threshold(grayImage, grayImage, 26, 255, THRESH_BINARY_INV); //25
 
     Mat MgrayImage = grayImage;
     //For debug
@@ -189,8 +188,8 @@ static void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source,
         for(size_t i = 0 ; i<srcImagePoints_temp.size(); i++ )
         {
             ss<<i;
-            circle(Msource,srcImagePoints->at(i),5,CV_RGB(255,0,0));
-            putText( Msource, ss.str(), srcImagePoints->at(i),CV_FONT_HERSHEY_SIMPLEX,1,CV_RGB(255,0,0));
+            circle(Msource,srcImagePoints->at(i),5,Scalar(0,0,255));
+            putText(Msource,ss.str(),srcImagePoints->at(i),FONT_HERSHEY_SIMPLEX,1,Scalar(0,0,255));
             ss.str("");
 
             //new coordinate system in the middle of the frame and reversed (camera coordinate system)
@@ -224,19 +223,19 @@ static void createOpenGLMatrixFrom(float *posePOSIT,const CvMatr32f &rotationMat
 int main(void)
 {
     help();
-    CvCapture* video = cvCaptureFromFile("cube4.avi");
-    CV_Assert(video);
+    VideoCapture video("cube4.avi");
+    CV_Assert(video.isOpened());
 
-    IplImage* source = cvCreateImage(cvGetSize(cvQueryFrame(video)),8,3);
-    IplImage* grayImage = cvCreateImage(cvGetSize(cvQueryFrame(video)),8,1);
+    Mat source, grayImage;
 
-    cvNamedWindow("original",CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO);
-    cvNamedWindow("POSIT",CV_WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO);
+    video >> source;
+
+    namedWindow("original", WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO);
+    namedWindow("POSIT", WINDOW_AUTOSIZE | CV_WINDOW_FREERATIO);
     displayOverlay("POSIT", "We lost the 4 corners' detection quite often (the red circles disappear). This demo is only to illustrate how to use OpenGL callback.\n -- Press ESC to exit.", 10000);
-    //For debug
-    //cvNamedWindow("tempGray",CV_WINDOW_AUTOSIZE);
+
     float OpenGLMatrix[]={0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};
-    cvSetOpenGlDrawCallback("POSIT",on_opengl,OpenGLMatrix);
+    setOpenGlDrawCallback("POSIT",on_opengl,OpenGLMatrix);
 
     vector<CvPoint3D32f> modelPoints;
     initPOSIT(&modelPoints);
@@ -251,26 +250,22 @@ int main(void)
     vector<CvPoint2D32f> srcImagePoints(4,cvPoint2D32f(0,0));
 
 
-    while(cvWaitKey(33) != 27)
+    while(waitKey(33) != 27)
     {
-        source=cvQueryFrame(video);
-        cvShowImage("original",source);
+        video >> source;
+        imshow("original",source);
 
         foundCorners(&srcImagePoints,source,grayImage);
         cvPOSIT( positObject, &srcImagePoints[0], FOCAL_LENGTH, criteria, rotation_matrix, translation_vector );
         createOpenGLMatrixFrom(OpenGLMatrix,rotation_matrix,translation_vector);
 
-        cvShowImage("POSIT",source);
-        //For debug
-        //cvShowImage("tempGray",grayImage);
+        imshow("POSIT",source);
 
-        if (cvGetCaptureProperty(video,CV_CAP_PROP_POS_AVI_RATIO)>0.99)
-            cvSetCaptureProperty(video,CV_CAP_PROP_POS_AVI_RATIO,0);
+        if (VideoCapture::get(video,CV_CAP_PROP_POS_AVI_RATIO)>0.99)
+            VideoCapture::get(video,CV_CAP_PROP_POS_AVI_RATIO,0);
     }
 
-    cvDestroyAllWindows();
-    cvReleaseImage(&grayImage);
-    cvReleaseCapture(&video);
+    destroyAllWindows();
     cvReleasePOSITObject(&positObject);
 
     return 0;

samples/cpp/bagofwords_classification.cpp

@@ -54,10 +54,6 @@ static void help(char** argv)
     << "\n";
 }
 
-
-
-
-
 static void makeDir( const string& dir )
 {
 #if defined WIN32 || defined _WIN32

samples/cpp/bgfg_segm.cpp

@@ -45,10 +45,10 @@ int main(int argc, const char** argv)
         return -1;
     }
 
-    namedWindow("image", CV_WINDOW_NORMAL);
-    namedWindow("foreground mask", CV_WINDOW_NORMAL);
-    namedWindow("foreground image", CV_WINDOW_NORMAL);
-    namedWindow("mean background image", CV_WINDOW_NORMAL);
+    namedWindow("image", WINDOW_NORMAL);
+    namedWindow("foreground mask", WINDOW_NORMAL);
+    namedWindow("foreground image", WINDOW_NORMAL);
+    namedWindow("mean background image", WINDOW_NORMAL);
 
     BackgroundSubtractorMOG2 bg_model;//(100, 3, 0.3, 5);
 

samples/cpp/build3dmodel.cpp

@@ -418,7 +418,7 @@ static void build3dmodel( const Ptr<FeatureDetector>& detector,
     for( size_t i = 0; i < nimages; i++ )
     {
         Mat img = imread(imageList[i], 1), gray;
-        cvtColor(img, gray, CV_BGR2GRAY);
+        cvtColor(img, gray, COLOR_BGR2GRAY);
 
         vector<KeyPoint> keypoints;
         detector->detect(gray, keypoints);

samples/cpp/calibration.cpp

@@ -461,7 +461,7 @@ int main( int argc, char** argv )
             flip( view, view, 0 );
 
         vector<Point2f> pointbuf;
-        cvtColor(view, viewGray, CV_BGR2GRAY);
+        cvtColor(view, viewGray, COLOR_BGR2GRAY);
 
         bool found;
         switch( pattern )

samples/cpp/camshiftdemo.cpp

@@ -113,7 +113,7 @@ int main( int argc, const char** argv )
 
         if( !paused )
         {
-            cvtColor(image, hsv, CV_BGR2HSV);
+            cvtColor(image, hsv, COLOR_BGR2HSV);
 
             if( trackObject )
             {
@@ -163,7 +163,7 @@ int main( int argc, const char** argv )
                 }
 
                 if( backprojMode )
-                    cvtColor( backproj, image, CV_GRAY2BGR );
+                    cvtColor( backproj, image, COLOR_GRAY2BGR );
                 ellipse( image, trackBox, Scalar(0,0,255), 3, CV_AA );
             }
         }

samples/cpp/chamfer.cpp

@@ -40,7 +40,7 @@ int main( int argc, const char** argv )
         return -1;
     }
     Mat cimg;
-    cvtColor(img, cimg, CV_GRAY2BGR);
+    cvtColor(img, cimg, COLOR_GRAY2BGR);
 
     // if the image and the template are not edge maps but normal grayscale images,
     // you might want to uncomment the lines below to produce the maps. You can also

samples/cpp/descriptor_extractor_matcher.cpp

@@ -208,7 +208,7 @@ static void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
                 matchesMask[i1] = 1;
         }
         // draw inliers
-        drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg, CV_RGB(0, 255, 0), CV_RGB(0, 0, 255), matchesMask
+        drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg, Scalar(0, 255, 0), Scalar(255, 0, 0), matchesMask
 #if DRAW_RICH_KEYPOINTS_MODE
                      , DrawMatchesFlags::DRAW_RICH_KEYPOINTS
 #endif
@@ -218,7 +218,7 @@ static void doIteration( const Mat& img1, Mat& img2, bool isWarpPerspective,
         // draw outliers
         for( size_t i1 = 0; i1 < matchesMask.size(); i1++ )
             matchesMask[i1] = !matchesMask[i1];
-        drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg, CV_RGB(0, 0, 255), CV_RGB(255, 0, 0), matchesMask,
+        drawMatches( img1, keypoints1, img2, keypoints2, filteredMatches, drawImg, Scalar(255, 0, 0), Scalar(0, 0, 255), matchesMask,
                      DrawMatchesFlags::DRAW_OVER_OUTIMG | DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );
 #endif
 

samples/cpp/detection_based_tracker_sample.cpp

@@ -116,7 +116,7 @@ static int test_FaceDetector(int argc, char *argv[])
         LOGD("\n\nSTEP n=%d        from prev step %f ms\n\n", n, t_ms);
         m=images[n-1];
         CV_Assert(! m.empty());
-        cvtColor(m, gray, CV_BGR2GRAY);
+        cvtColor(m, gray, COLOR_BGR2GRAY);
 
         fd.process(gray);
 

samples/cpp/distrans.cpp

@@ -128,7 +128,7 @@ int main( int argc, const char** argv )
         // Call to update the view
         onTrackbar(0, 0);
 
-        int c = cvWaitKey(0) & 255;
+        int c = waitKey(0) & 255;
 
         if( c == 27 )
             break;

samples/cpp/drawing.cpp

@@ -157,14 +157,14 @@ int main()
             return 0;
     }
 
-    Size textsize = getTextSize("OpenCV forever!", CV_FONT_HERSHEY_COMPLEX, 3, 5, 0);
+    Size textsize = getTextSize("OpenCV forever!", FONT_HERSHEY_COMPLEX, 3, 5, 0);
     Point org((width - textsize.width)/2, (height - textsize.height)/2);
 
     Mat image2;
     for( i = 0; i < 255; i += 2 )
     {
         image2 = image - Scalar::all(i);
-        putText(image2, "OpenCV forever!", org, CV_FONT_HERSHEY_COMPLEX, 3,
+        putText(image2, "OpenCV forever!", org, FONT_HERSHEY_COMPLEX, 3,
                 Scalar(i, i, 255), 5, lineType);
 
         imshow(wndname, image2);

samples/cpp/edge.cpp

@@ -49,7 +49,7 @@ int main( int argc, const char** argv )
         return -1;
     }
     cedge.create(image.size(), image.type());
-    cvtColor(image, gray, CV_BGR2GRAY);
+    cvtColor(image, gray, COLOR_BGR2GRAY);
 
     // Create a window
     namedWindow("Edge map", 1);

samples/cpp/em.cpp

@@ -59,7 +59,7 @@ int main( int /*argc*/, char** /*argv*/ )
     params.cov_mat_type = CvEM::COV_MAT_DIAGONAL;
     params.start_step = CvEM::START_E_STEP;
     params.means = em_model.get_means();
-    params.covs = (const CvMat**)em_model.get_covs();
+    params.covs = em_model.get_covs();
     params.weights = em_model.get_weights();
 
     em_model2.train( samples, Mat(), params, &labels );

samples/cpp/fback.cpp

@@ -42,13 +42,13 @@ int main(int, char**)
     for(;;)
     {
         cap >> frame;
-        cvtColor(frame, gray, CV_BGR2GRAY);
+        cvtColor(frame, gray, COLOR_BGR2GRAY);
 
         if( prevgray.data )
         {
             calcOpticalFlowFarneback(prevgray, gray, flow, 0.5, 3, 15, 3, 5, 1.2, 0);
-            cvtColor(prevgray, cflow, CV_GRAY2BGR);
-            drawOptFlowMap(flow, cflow, 16, 1.5, CV_RGB(0, 255, 0));
+            cvtColor(prevgray, cflow, COLOR_GRAY2BGR);
+            drawOptFlowMap(flow, cflow, 16, 1.5, Scalar(0, 255, 0));
             imshow("flow", cflow);
         }
         if(waitKey(30)>=0)

samples/cpp/ffilldemo.cpp

@@ -81,7 +81,7 @@ int main( int argc, char** argv )
     }
     help();
     image0.copyTo(image);
-    cvtColor(image0, gray, CV_BGR2GRAY);
+    cvtColor(image0, gray, COLOR_BGR2GRAY);
     mask.create(image0.rows+2, image0.cols+2, CV_8UC1);
 
     namedWindow( "image", 0 );
@@ -106,7 +106,7 @@ int main( int argc, char** argv )
             if( isColor )
             {
                 cout << "Grayscale mode is set\n";
-                cvtColor(image0, gray, CV_BGR2GRAY);
+                cvtColor(image0, gray, COLOR_BGR2GRAY);
                 mask = Scalar::all(0);
                 isColor = false;
             }
@@ -135,7 +135,7 @@ int main( int argc, char** argv )
         case 'r':
             cout << "Original image is restored\n";
             image0.copyTo(image);
-            cvtColor(image, gray, CV_BGR2GRAY);
+            cvtColor(image, gray, COLOR_BGR2GRAY);
             mask = Scalar::all(0);
             break;
         case 's':

samples/cpp/generic_descriptor_match.cpp

@@ -79,7 +79,7 @@ Mat DrawCorrespondences(const Mat& img1, const vector<KeyPoint>& features1, cons
 
     for (size_t i = 0; i < features1.size(); i++)
     {
-        circle(img_corr, features1[i].pt, 3, CV_RGB(255, 0, 0));
+        circle(img_corr, features1[i].pt, 3, Scalar(0, 0, 255));
     }
 
     for (size_t i = 0; i < features2.size(); i++)

samples/cpp/grabcut.cpp

@@ -296,15 +296,15 @@ int main( int argc, char** argv )
     help();
 
     const string winName = "image";
-    cvNamedWindow( winName.c_str(), CV_WINDOW_AUTOSIZE );
-    cvSetMouseCallback( winName.c_str(), on_mouse, 0 );
+    namedWindow( winName, WINDOW_AUTOSIZE );
+    setMouseCallback( winName, on_mouse, 0 );
 
     gcapp.setImageAndWinName( image, winName );
     gcapp.showImage();
 
     for(;;)
     {
-        int c = cvWaitKey(0);
+        int c = waitKey(0);
         switch( (char) c )
         {
         case '\x1b':
@@ -331,6 +331,6 @@ int main( int argc, char** argv )
     }
 
 exit_main:
-    cvDestroyWindow( winName.c_str() );
+    destroyWindow( winName );
     return 0;
 }

samples/cpp/houghcircles.cpp

@@ -27,7 +27,7 @@ int main(int argc, char** argv)
 
     Mat cimg;
     medianBlur(img, img, 5);
-    cvtColor(img, cimg, CV_GRAY2BGR);
+    cvtColor(img, cimg, COLOR_GRAY2BGR);
 
     vector<Vec3f> circles;
     HoughCircles(img, circles, CV_HOUGH_GRADIENT, 1, 10,

samples/cpp/houghlines.cpp

@@ -27,7 +27,7 @@ int main(int argc, char** argv)
 
     Mat dst, cdst;
     Canny(src, dst, 50, 200, 3);
-    cvtColor(dst, cdst, CV_GRAY2BGR);
+    cvtColor(dst, cdst, COLOR_GRAY2BGR);
 
 #if 0
     vector<Vec2f> lines;

samples/cpp/image.cpp

@@ -109,7 +109,7 @@ int main( int argc, char** argv )
     cvtColor(img_yuv, img, CV_YCrCb2BGR);
 
     // this is counterpart for cvNamedWindow
-    namedWindow("image with grain", CV_WINDOW_AUTOSIZE);
+    namedWindow("image with grain", WINDOW_AUTOSIZE);
 #if DEMO_MIXED_API_USE
     // this is to demonstrate that img and iplimg really share the data - the result of the above
     // processing is stored in img and thus in iplimg too.

samples/cpp/lkdemo.cpp

@@ -71,7 +71,7 @@ int main( int argc, char** argv )
             break;
 
         frame.copyTo(image);
-        cvtColor(image, gray, CV_BGR2GRAY);
+        cvtColor(image, gray, COLOR_BGR2GRAY);
 
         if( nightMode )
             image = Scalar::all(0);

samples/cpp/meanshift_segmentation.cpp

@@ -65,7 +65,7 @@ int main(int argc, char** argv)
     colorRad = 10;
     maxPyrLevel = 1;
 
-    namedWindow( winName, CV_WINDOW_AUTOSIZE );
+    namedWindow( winName, WINDOW_AUTOSIZE );
 
     createTrackbar( "spatialRad", winName, &spatialRad, 80, meanShiftSegmentation );
     createTrackbar( "colorRad", winName, &colorRad, 60, meanShiftSegmentation );

samples/cpp/minarea.cpp

@@ -54,7 +54,7 @@ int main( int /*argc*/, char** /*argv*/ )
 
         imshow( "rect & circle", img );
 
-        char key = (char)cvWaitKey();
+        char key = (char)waitKey();
         if( key == 27 || key == 'q' || key == 'Q' ) // 'ESC'
             break;
     }

samples/cpp/morphology2.cpp

@@ -79,7 +79,7 @@ int main( int argc, char** argv )
 
         OpenClose(open_close_pos, 0);
         ErodeDilate(erode_dilate_pos, 0);
-        c = cvWaitKey(0);
+        c = waitKey(0);
 
         if( (char)c == 27 )
             break;

samples/cpp/pca.cpp

@@ -159,7 +159,7 @@ int main(int argc, char** argv)
 
     // init highgui window
     string winName = "Reconstruction | press 'q' to quit";
-    namedWindow(winName, CV_WINDOW_NORMAL);
+    namedWindow(winName, WINDOW_NORMAL);
 
     // params struct to pass to the trackbar handler
     params p;

samples/cpp/phase_corr.cpp

@@ -13,7 +13,7 @@ int main(int, char* [])
     do
     {
         video >> frame;
-        cvtColor(frame, curr, CV_RGB2GRAY);
+        cvtColor(frame, curr, COLOR_RGB2GRAY);
 
         if(prev.empty())
         {

samples/cpp/points_classifier.cpp

@@ -7,7 +7,7 @@
 using namespace std;
 using namespace cv;
 
-const Scalar WHITE_COLOR = CV_RGB(255,255,255);
+const Scalar WHITE_COLOR = Scalar(255,255,255);
 const string winName = "points";
 const int testStep = 5;
 
@@ -69,15 +69,15 @@ static void on_mouse( int event, int x, int y, int /*flags*/, void* )
         // put the text
         stringstream text;
         text << "current class " << classColors.size()-1;
-        putText( img, text.str(), Point(10,25), CV_FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
+        putText( img, text.str(), Point(10,25), FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
 
         text.str("");
         text << "total classes " << classColors.size();
-        putText( img, text.str(), Point(10,50), CV_FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
+        putText( img, text.str(), Point(10,50), FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
 
         text.str("");
         text << "total points " << trainedPoints.size();
-        putText(img, text.str(), cvPoint(10,75), CV_FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
+        putText(img, text.str(), Point(10,75), FONT_HERSHEY_SIMPLEX, 0.8f, WHITE_COLOR, 2 );
 
         // draw points
         for( size_t i = 0; i < trainedPoints.size(); i++ )
@@ -178,7 +178,7 @@ static void find_decision_boundary_SVM( CvSVMParams params )
     for( int i = 0; i < svmClassifier.get_support_vector_count(); i++ )
     {
         const float* supportVector = svmClassifier.get_support_vector(i);
-        circle( imgDst, Point(supportVector[0],supportVector[1]), 5, CV_RGB(255,255,255), -1 );
+        circle( imgDst, Point(supportVector[0],supportVector[1]), 5, Scalar(255,255,255), -1 );
     }
 
 }
@@ -526,7 +526,7 @@ int main()
         {
 #if _NBC_
             find_decision_boundary_NBC();
-            cvNamedWindow( "NormalBayesClassifier", WINDOW_AUTOSIZE );
+            namedWindow( "NormalBayesClassifier", WINDOW_AUTOSIZE );
             imshow( "NormalBayesClassifier", imgDst );
 #endif
 #if _KNN_
@@ -560,7 +560,7 @@ int main()
 
             params.C = 10;
             find_decision_boundary_SVM( params );
-            cvNamedWindow( "classificationSVM2", WINDOW_AUTOSIZE );
+            namedWindow( "classificationSVM2", WINDOW_AUTOSIZE );
             imshow( "classificationSVM2", imgDst );
 #endif
 

samples/cpp/rgbdodometry.cpp

@@ -125,8 +125,8 @@ int main(int argc, char** argv)
     }
 
     Mat grayImage0, grayImage1, depthFlt0, depthFlt1/*in meters*/;
-    cvtColor( colorImage0, grayImage0, CV_BGR2GRAY );
-    cvtColor( colorImage1, grayImage1, CV_BGR2GRAY );
+    cvtColor( colorImage0, grayImage0, COLOR_BGR2GRAY );
+    cvtColor( colorImage1, grayImage1, COLOR_BGR2GRAY );
     depth0.convertTo( depthFlt0, CV_32FC1, 1./1000 );
     depth1.convertTo( depthFlt1, CV_32FC1, 1./1000 );
 

samples/cpp/segment_objects.cpp

@@ -95,8 +95,6 @@ int main(int argc, char** argv)
         if( !tmp_frame.data )
             break;
         bgsubtractor(tmp_frame, bgmask, update_bg_model ? -1 : 0);
-        //CvMat _bgmask = bgmask;
-        //cvSegmentFGMask(&_bgmask);
         refineSegments(tmp_frame, bgmask, out_frame);
         imshow("video", tmp_frame);
         imshow("segmented", out_frame);

samples/cpp/stereo_calib.cpp

@@ -118,7 +118,7 @@ StereoCalib(const vector<string>& imagelist, Size boardSize, bool useCalibrated=
             {
                 cout << filename << endl;
                 Mat cimg, cimg1;
-                cvtColor(img, cimg, CV_GRAY2BGR);
+                cvtColor(img, cimg, COLOR_GRAY2BGR);
                 drawChessboardCorners(cimg, boardSize, corners, found);
                 double sf = 640./MAX(img.rows, img.cols);
                 resize(cimg, cimg1, Size(), sf, sf);
@@ -302,7 +302,7 @@ StereoCalib(const vector<string>& imagelist, Size boardSize, bool useCalibrated=
         {
             Mat img = imread(goodImageList[i*2+k], 0), rimg, cimg;
             remap(img, rimg, rmap[k][0], rmap[k][1], CV_INTER_LINEAR);
-            cvtColor(rimg, cimg, CV_GRAY2BGR);
+            cvtColor(rimg, cimg, COLOR_GRAY2BGR);
             Mat canvasPart = !isVerticalStereo ? canvas(Rect(w*k, 0, w, h)) : canvas(Rect(0, h*k, w, h));
             resize(cimg, canvasPart, canvasPart.size(), 0, 0, CV_INTER_AREA);
             if( useCalibrated )

samples/cpp/tutorial_code/HighGUI/BasicLinearTransformsTrackbar.cpp

@@ -27,13 +27,10 @@ static void on_trackbar( int, void* )
     Mat new_image = Mat::zeros( image.size(), image.type() );
 
     for( int y = 0; y < image.rows; y++ )
-      { for( int x = 0; x < image.cols; x++ )
-           { for( int c = 0; c < 3; c++ )
-                {
+        for( int x = 0; x < image.cols; x++ )
+            for( int c = 0; c < 3; c++ )
                 new_image.at<Vec3b>(y,x)[c] = saturate_cast<uchar>( alpha*( image.at<Vec3b>(y,x)[c] ) + beta );
-                }
-       }
-      }
+
     imshow("New Image", new_image);
 }
 

samples/cpp/tutorial_code/Histograms_Matching/EqualizeHist_Demo.cpp

@@ -31,14 +31,14 @@ int main( int, char** argv )
     }
 
   /// Convert to grayscale
-  cvtColor( src, src, CV_BGR2GRAY );
+  cvtColor( src, src, COLOR_BGR2GRAY );
 
   /// Apply Histogram Equalization
   equalizeHist( src, dst );
 
   /// Display results
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
-  namedWindow( equalized_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
+  namedWindow( equalized_window, WINDOW_AUTOSIZE );
 
   imshow( source_window, src );
   imshow( equalized_window, dst );

samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp

@@ -33,8 +33,8 @@ int main( int, char** argv )
   templ = imread( argv[2], 1 );
 
   /// Create windows
-  namedWindow( image_window, CV_WINDOW_AUTOSIZE );
-  namedWindow( result_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( image_window, WINDOW_AUTOSIZE );
+  namedWindow( result_window, WINDOW_AUTOSIZE );
 
   /// Create Trackbar
   const char* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED";

samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo1.cpp

@@ -28,7 +28,7 @@ int main( int, char** argv )
   /// Read the image
   src = imread( argv[1], 1 );
   /// Transform it to HSV
-  cvtColor( src, hsv, CV_BGR2HSV );
+  cvtColor( src, hsv, COLOR_BGR2HSV );
 
   /// Use only the Hue value
   hue.create( hsv.size(), hsv.depth() );
@@ -37,7 +37,7 @@ int main( int, char** argv )
 
   /// Create Trackbar to enter the number of bins
   const char* window_image = "Source image";
-  namedWindow( window_image, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_image, WINDOW_AUTOSIZE );
   createTrackbar("* Hue  bins: ", window_image, &bins, 180, Hist_and_Backproj );
   Hist_and_Backproj(0, 0);
 

samples/cpp/tutorial_code/Histograms_Matching/calcBackProject_Demo2.cpp

@@ -31,10 +31,10 @@ int main( int, char** argv )
   /// Read the image
   src = imread( argv[1], 1 );
   /// Transform it to HSV
-  cvtColor( src, hsv, CV_BGR2HSV );
+  cvtColor( src, hsv, COLOR_BGR2HSV );
 
   /// Show the image
-  namedWindow( window_image, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_image, WINDOW_AUTOSIZE );
   imshow( window_image, src );
 
   /// Set Trackbars for floodfill thresholds

samples/cpp/tutorial_code/Histograms_Matching/calcHist_Demo.cpp

@@ -71,7 +71,7 @@ int main( int, char** argv )
   }
 
   /// Display
-  namedWindow("calcHist Demo", CV_WINDOW_AUTOSIZE );
+  namedWindow("calcHist Demo", WINDOW_AUTOSIZE );
   imshow("calcHist Demo", histImage );
 
   waitKey(0);

samples/cpp/tutorial_code/Histograms_Matching/compareHist_Demo.cpp

@@ -24,7 +24,8 @@ int main( int argc, char** argv )
 
     /// Load three images with different environment settings
     if( argc < 4 )
-     { printf("** Error. Usage: ./compareHist_Demo <image_settings0> <image_setting1> <image_settings2>\n");
+    {
+        printf("** Error. Usage: ./compareHist_Demo <image_settings0> <image_setting1> <image_settings2>\n");
         return -1;
     }
 
@@ -33,9 +34,9 @@ int main( int argc, char** argv )
     src_test2 = imread( argv[3], 1 );
 
     /// Convert to HSV
-   cvtColor( src_base, hsv_base, CV_BGR2HSV );
-   cvtColor( src_test1, hsv_test1, CV_BGR2HSV );
-   cvtColor( src_test2, hsv_test2, CV_BGR2HSV );
+    cvtColor( src_base, hsv_base, COLOR_BGR2HSV );
+    cvtColor( src_test1, hsv_test1, COLOR_BGR2HSV );
+    cvtColor( src_test2, hsv_test2, COLOR_BGR2HSV );
 
     hsv_half_down = hsv_base( Range( hsv_base.rows/2, hsv_base.rows - 1 ), Range( 0, hsv_base.cols - 1 ) );
 
@@ -74,7 +75,8 @@ int main( int argc, char** argv )
 
     /// Apply the histogram comparison methods
     for( int i = 0; i < 4; i++ )
-       { int compare_method = i;
+    {
+        int compare_method = i;
         double base_base = compareHist( hist_base, hist_base, compare_method );
         double base_half = compareHist( hist_base, hist_half_down, compare_method );
         double base_test1 = compareHist( hist_base, hist_test1, compare_method );

samples/cpp/tutorial_code/ImgProc/Morphology_1.cpp

@@ -37,9 +37,9 @@ int main( int, char** argv )
     { return -1; }
 
   /// Create windows
-  namedWindow( "Erosion Demo", CV_WINDOW_AUTOSIZE );
-  namedWindow( "Dilation Demo", CV_WINDOW_AUTOSIZE );
-  cvMoveWindow( "Dilation Demo", src.cols, 0 );
+  namedWindow( "Erosion Demo", WINDOW_AUTOSIZE );
+  namedWindow( "Dilation Demo", WINDOW_AUTOSIZE );
+  moveWindow( "Dilation Demo", src.cols, 0 );
 
   /// Create Erosion Trackbar
   createTrackbar( "Element:\n 0: Rect \n 1: Cross \n 2: Ellipse", "Erosion Demo",

samples/cpp/tutorial_code/ImgProc/Morphology_2.cpp

@@ -39,7 +39,7 @@ int main( int, char** argv )
     { return -1; }
 
   /// Create window
-  namedWindow( window_name, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_name, WINDOW_AUTOSIZE );
 
   /// Create Trackbar to select Morphology operation
   createTrackbar("Operator:\n 0: Opening - 1: Closing  \n 2: Gradient - 3: Top Hat \n 4: Black Hat", window_name, &morph_operator, max_operator, Morphology_Operations );

samples/cpp/tutorial_code/ImgProc/Pyramids.cpp

@@ -40,7 +40,7 @@ int main( void )
   dst = tmp;
 
   /// Create window
-  namedWindow( window_name, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_name, WINDOW_AUTOSIZE );
   imshow( window_name, dst );
 
   /// Loop

samples/cpp/tutorial_code/ImgProc/Smoothing.cpp

@@ -31,7 +31,7 @@ int display_dst( int delay );
  */
 int main( void )
 {
-  namedWindow( window_name, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_name, WINDOW_AUTOSIZE );
 
   /// Load the source image
   src = imread( "../images/lena.png", 1 );
@@ -89,7 +89,7 @@ int display_caption( const char* caption )
   dst = Mat::zeros( src.size(), src.type() );
   putText( dst, caption,
            Point( src.cols/4, src.rows/2),
-           CV_FONT_HERSHEY_COMPLEX, 1, Scalar(255, 255, 255) );
+           FONT_HERSHEY_COMPLEX, 1, Scalar(255, 255, 255) );
 
   imshow( window_name, dst );
   int c = waitKey( DELAY_CAPTION );

samples/cpp/tutorial_code/ImgProc/Threshold.cpp

@@ -37,10 +37,10 @@ int main( int, char** argv )
   src = imread( argv[1], 1 );
 
   /// Convert the image to Gray
-  cvtColor( src, src_gray, CV_RGB2GRAY );
+  cvtColor( src, src_gray, COLOR_RGB2GRAY );
 
   /// Create a window to display results
-  namedWindow( window_name, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_name, WINDOW_AUTOSIZE );
 
   /// Create Trackbar to choose type of Threshold
   createTrackbar( trackbar_type,

samples/cpp/tutorial_code/ImgTrans/CannyDetector_Demo.cpp

@@ -58,10 +58,10 @@ int main( int, char** argv )
   dst.create( src.size(), src.type() );
 
   /// Convert the image to grayscale
-  cvtColor( src, src_gray, CV_BGR2GRAY );
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
 
   /// Create a window
-  namedWindow( window_name, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_name, WINDOW_AUTOSIZE );
 
   /// Create a Trackbar for user to enter threshold
   createTrackbar( "Min Threshold:", window_name, &lowThreshold, max_lowThreshold, CannyThreshold );

samples/cpp/tutorial_code/ImgTrans/Geometric_Transforms_Demo.cpp

@@ -65,13 +65,13 @@ int main( int, char** argv )
 
 
   /// Show what you got
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
   imshow( source_window, src );
 
-  namedWindow( warp_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( warp_window, WINDOW_AUTOSIZE );
   imshow( warp_window, warp_dst );
 
-  namedWindow( warp_rotate_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( warp_rotate_window, WINDOW_AUTOSIZE );
   imshow( warp_rotate_window, warp_rotate_dst );
 
   /// Wait until user exits the program

samples/cpp/tutorial_code/ImgTrans/HoughCircle_Demo.cpp

@@ -25,7 +25,7 @@ int main(int, char** argv)
      { return -1; }
 
    /// Convert it to gray
-    cvtColor( src, src_gray, CV_BGR2GRAY );
+    cvtColor( src, src_gray, COLOR_BGR2GRAY );
 
    /// Reduce the noise so we avoid false circle detection
     GaussianBlur( src_gray, src_gray, Size(9, 9), 2, 2 );
@@ -47,7 +47,7 @@ int main(int, char** argv)
     }
 
    /// Show your results
-    namedWindow( "Hough Circle Transform Demo", CV_WINDOW_AUTOSIZE );
+    namedWindow( "Hough Circle Transform Demo", WINDOW_AUTOSIZE );
     imshow( "Hough Circle Transform Demo", src );
 
     waitKey(0);

samples/cpp/tutorial_code/ImgTrans/HoughLines_Demo.cpp

@@ -46,7 +46,7 @@ int main( int, char** argv )
      }
 
    /// Pass the image to gray
-   cvtColor( src, src_gray, CV_RGB2GRAY );
+   cvtColor( src, src_gray, COLOR_RGB2GRAY );
 
    /// Apply Canny edge detector
    Canny( src_gray, edges, 50, 200, 3 );
@@ -55,10 +55,10 @@ int main( int, char** argv )
    char thresh_label[50];
    sprintf( thresh_label, "Thres: %d + input", min_threshold );
 
-   namedWindow( standard_name, CV_WINDOW_AUTOSIZE );
+   namedWindow( standard_name, WINDOW_AUTOSIZE );
    createTrackbar( thresh_label, standard_name, &s_trackbar, max_trackbar, Standard_Hough);
 
-   namedWindow( probabilistic_name, CV_WINDOW_AUTOSIZE );
+   namedWindow( probabilistic_name, WINDOW_AUTOSIZE );
    createTrackbar( thresh_label, probabilistic_name, &p_trackbar, max_trackbar, Probabilistic_Hough);
 
    /// Initialize

samples/cpp/tutorial_code/ImgTrans/Laplace_Demo.cpp

@@ -34,10 +34,10 @@ int main( int, char** argv )
   GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT );
 
   /// Convert the image to grayscale
-  cvtColor( src, src_gray, CV_RGB2GRAY );
+  cvtColor( src, src_gray, COLOR_RGB2GRAY );
 
   /// Create window
-  namedWindow( window_name, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_name, WINDOW_AUTOSIZE );
 
   /// Apply Laplace function
   Mat abs_dst;

samples/cpp/tutorial_code/ImgTrans/Remap_Demo.cpp

@@ -34,7 +34,7 @@ int main( int, char** argv )
   map_y.create( src.size(), CV_32FC1 );
 
   /// Create window
-  namedWindow( remap_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( remap_window, WINDOW_AUTOSIZE );
 
   /// Loop
   for(;;)

samples/cpp/tutorial_code/ImgTrans/Sobel_Demo.cpp

@@ -33,10 +33,10 @@ int main( int, char** argv )
   GaussianBlur( src, src, Size(3,3), 0, 0, BORDER_DEFAULT );
 
   /// Convert it to gray
-  cvtColor( src, src_gray, CV_RGB2GRAY );
+  cvtColor( src, src_gray, COLOR_RGB2GRAY );
 
   /// Create window
-  namedWindow( window_name, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_name, WINDOW_AUTOSIZE );
 
   /// Generate grad_x and grad_y
   Mat grad_x, grad_y;

samples/cpp/tutorial_code/ImgTrans/copyMakeBorder_demo.cpp

@@ -43,7 +43,7 @@ int main( int, char** argv )
   printf( " ** Press 'ESC' to exit the program \n");
 
   /// Create window
-  namedWindow( window_name, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_name, WINDOW_AUTOSIZE );
 
   /// Initialize arguments for the filter
   top = (int) (0.05*src.rows); bottom = (int) (0.05*src.rows);

samples/cpp/tutorial_code/ImgTrans/filter2D_demo.cpp

@@ -35,7 +35,7 @@ int main ( int, char** argv )
     { return -1; }
 
   /// Create window
-  namedWindow( window_name, CV_WINDOW_AUTOSIZE );
+  namedWindow( window_name, WINDOW_AUTOSIZE );
 
   /// Initialize arguments for the filter
   anchor = Point( -1, -1 );

samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp

@@ -30,12 +30,12 @@ int main( int, char** argv )
   src = imread( argv[1], 1 );
 
   /// Convert image to gray and blur it
-  cvtColor( src, src_gray, CV_BGR2GRAY );
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
   blur( src_gray, src_gray, Size(3,3) );
 
   /// Create Window
   const char* source_window = "Source";
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
   imshow( source_window, src );
 
   createTrackbar( " Canny thresh:", "Source", &thresh, max_thresh, thresh_callback );
@@ -68,6 +68,6 @@ void thresh_callback(int, void* )
      }
 
   /// Show in a window
-  namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
+  namedWindow( "Contours", WINDOW_AUTOSIZE );
   imshow( "Contours", drawing );
 }

samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp

@@ -30,12 +30,12 @@ int main( int, char** argv )
   src = imread( argv[1], 1 );
 
   /// Convert image to gray and blur it
-  cvtColor( src, src_gray, CV_BGR2GRAY );
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
   blur( src_gray, src_gray, Size(3,3) );
 
   /// Create Window
   const char* source_window = "Source";
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
   imshow( source_window, src );
 
   createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
@@ -83,6 +83,6 @@ void thresh_callback(int, void* )
      }
 
   /// Show in a window
-  namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
+  namedWindow( "Contours", WINDOW_AUTOSIZE );
   imshow( "Contours", drawing );
 }

samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp

@@ -30,12 +30,12 @@ int main( int, char** argv )
   src = imread( argv[1], 1 );
 
   /// Convert image to gray and blur it
-  cvtColor( src, src_gray, CV_BGR2GRAY );
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
   blur( src_gray, src_gray, Size(3,3) );
 
   /// Create Window
   const char* source_window = "Source";
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
   imshow( source_window, src );
 
   createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
@@ -85,6 +85,6 @@ void thresh_callback(int, void* )
      }
 
   /// Show in a window
-  namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
+  namedWindow( "Contours", WINDOW_AUTOSIZE );
   imshow( "Contours", drawing );
 }

samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp

@@ -30,12 +30,12 @@ int main( int, char** argv )
   src = imread( argv[1], 1 );
 
   /// Convert image to gray and blur it
-  cvtColor( src, src_gray, CV_BGR2GRAY );
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
   blur( src_gray, src_gray, Size(3,3) );
 
   /// Create Window
   const char* source_window = "Source";
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
   imshow( source_window, src );
 
   createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
@@ -76,6 +76,6 @@ void thresh_callback(int, void* )
      }
 
   /// Show in a window
-  namedWindow( "Hull demo", CV_WINDOW_AUTOSIZE );
+  namedWindow( "Hull demo", WINDOW_AUTOSIZE );
   imshow( "Hull demo", drawing );
 }

samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp

@@ -30,12 +30,12 @@ int main( int, char** argv )
   src = imread( argv[1], 1 );
 
   /// Convert image to gray and blur it
-  cvtColor( src, src_gray, CV_BGR2GRAY );
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
   blur( src_gray, src_gray, Size(3,3) );
 
   /// Create Window
   const char* source_window = "Source";
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
   imshow( source_window, src );
 
   createTrackbar( " Canny thresh:", "Source", &thresh, max_thresh, thresh_callback );
@@ -79,7 +79,7 @@ void thresh_callback(int, void* )
      }
 
   /// Show in a window
-  namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
+  namedWindow( "Contours", WINDOW_AUTOSIZE );
   imshow( "Contours", drawing );
 
   /// Calculate the area with the moments 00 and compare with the result of the OpenCV function

samples/cpp/tutorial_code/ShapeDescriptors/pointPolygonTest_demo.cpp

@@ -71,9 +71,9 @@ int main( void )
 
   /// Create Window and show your results
   const char* source_window = "Source";
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
   imshow( source_window, src );
-  namedWindow( "Distance", CV_WINDOW_AUTOSIZE );
+  namedWindow( "Distance", WINDOW_AUTOSIZE );
   imshow( "Distance", drawing );
 
   waitKey(0);

samples/cpp/tutorial_code/TrackingMotion/cornerDetector_Demo.cpp

@@ -40,7 +40,7 @@ int main( int, char** argv )
 {
   /// Load source image and convert it to gray
   src = imread( argv[1], 1 );
-  cvtColor( src, src_gray, CV_BGR2GRAY );
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
 
   /// Set some parameters
   int blockSize = 3; int apertureSize = 3;
@@ -64,7 +64,7 @@ int main( int, char** argv )
   minMaxLoc( Mc, &myHarris_minVal, &myHarris_maxVal, 0, 0, Mat() );
 
   /* Create Window and Trackbar */
-  namedWindow( myHarris_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( myHarris_window, WINDOW_AUTOSIZE );
   createTrackbar( " Quality Level:", myHarris_window, &myHarris_qualityLevel, max_qualityLevel, myHarris_function );
   myHarris_function( 0, 0 );
 
@@ -75,7 +75,7 @@ int main( int, char** argv )
   minMaxLoc( myShiTomasi_dst, &myShiTomasi_minVal, &myShiTomasi_maxVal, 0, 0, Mat() );
 
   /* Create Window and Trackbar */
-  namedWindow( myShiTomasi_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( myShiTomasi_window, WINDOW_AUTOSIZE );
   createTrackbar( " Quality Level:", myShiTomasi_window, &myShiTomasi_qualityLevel, max_qualityLevel, myShiTomasi_function );
   myShiTomasi_function( 0, 0 );
 

samples/cpp/tutorial_code/TrackingMotion/cornerHarris_Demo.cpp

@@ -31,10 +31,10 @@ int main( int, char** argv )
 {
   /// Load source image and convert it to gray
   src = imread( argv[1], 1 );
-  cvtColor( src, src_gray, CV_BGR2GRAY );
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
 
   /// Create a window and a trackbar
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
   createTrackbar( "Threshold: ", source_window, &thresh, max_thresh, cornerHarris_demo );
   imshow( source_window, src );
 
@@ -77,6 +77,6 @@ void cornerHarris_demo( int, void* )
           }
      }
   /// Showing the result
-  namedWindow( corners_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( corners_window, WINDOW_AUTOSIZE );
   imshow( corners_window, dst_norm_scaled );
 }

samples/cpp/tutorial_code/TrackingMotion/cornerSubPix_Demo.cpp

@@ -32,10 +32,10 @@ int main( int, char** argv )
 {
   /// Load source image and convert it to gray
   src = imread( argv[1], 1 );
-  cvtColor( src, src_gray, CV_BGR2GRAY );
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
 
   /// Create Window
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
 
   /// Create Trackbar to set the number of corners
   createTrackbar( "Max  corners:", source_window, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo );
@@ -87,7 +87,7 @@ void goodFeaturesToTrack_Demo( int, void* )
      { circle( copy, corners[i], r, Scalar(rng.uniform(0,255), rng.uniform(0,255), rng.uniform(0,255)), -1, 8, 0 ); }
 
   /// Show what you got
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
   imshow( source_window, copy );
 
   /// Set the neeed parameters to find the refined corners

samples/cpp/tutorial_code/TrackingMotion/goodFeaturesToTrack_Demo.cpp

@@ -32,10 +32,10 @@ int main( int, char** argv )
 {
   /// Load source image and convert it to gray
   src = imread( argv[1], 1 );
-  cvtColor( src, src_gray, CV_BGR2GRAY );
+  cvtColor( src, src_gray, COLOR_BGR2GRAY );
 
   /// Create Window
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
 
   /// Create Trackbar to set the number of corners
   createTrackbar( "Max  corners:", source_window, &maxCorners, maxTrackbar, goodFeaturesToTrack_Demo );
@@ -87,6 +87,6 @@ void goodFeaturesToTrack_Demo( int, void* )
      { circle( copy, corners[i], r, Scalar(rng.uniform(0,255), rng.uniform(0,255), rng.uniform(0,255)), -1, 8, 0 ); }
 
   /// Show what you got
-  namedWindow( source_window, CV_WINDOW_AUTOSIZE );
+  namedWindow( source_window, WINDOW_AUTOSIZE );
   imshow( source_window, copy );
 }

samples/cpp/tutorial_code/calib3d/camera_calibration/camera_calibration.cpp

@@ -294,7 +294,7 @@ int main(int argc, char* argv[])
                 if( s.calibrationPattern == Settings::CHESSBOARD)
                 {
                     Mat viewGray;
-                    cvtColor(view, viewGray, CV_BGR2GRAY);
+                    cvtColor(view, viewGray, COLOR_BGR2GRAY);
                     cornerSubPix( viewGray, pointBuf, Size(11,11),
                         Size(-1,-1), TermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 30, 0.1 ));
                 }

samples/cpp/tutorial_code/calib3d/stereoBM/SBM_Sample.cpp

@@ -56,7 +56,7 @@ int main( int argc, char** argv )
   //-- 4. Display it as a CV_8UC1 image
   imgDisparity16S.convertTo( imgDisparity8U, CV_8UC1, 255/(maxVal - minVal));
 
-  namedWindow( windowDisparity, CV_WINDOW_NORMAL );
+  namedWindow( windowDisparity, WINDOW_NORMAL );
   imshow( windowDisparity, imgDisparity8U );
 
   //-- 5. Save the image

samples/cpp/tutorial_code/core/Matrix/Drawing_1.cpp

@@ -64,9 +64,9 @@ int main( void ){
 
   /// 3. Display your stuff!
   imshow( atom_window, atom_image );
-  cvMoveWindow( atom_window, 0, 200 );
+  moveWindow( atom_window, 0, 200 );
   imshow( rook_window, rook_image );
-  cvMoveWindow( rook_window, w, 200 );
+  moveWindow( rook_window, w, 200 );
 
   waitKey( 0 );
   return(0);

samples/cpp/tutorial_code/core/Matrix/Drawing_2.cpp

@@ -304,7 +304,7 @@ int Displaying_Random_Text( Mat image, char* window_name, RNG rng )
  */
 int Displaying_Big_End( Mat image, char* window_name, RNG )
 {
-  Size textsize = getTextSize("OpenCV forever!", CV_FONT_HERSHEY_COMPLEX, 3, 5, 0);
+  Size textsize = getTextSize("OpenCV forever!", FONT_HERSHEY_COMPLEX, 3, 5, 0);
   Point org((window_width - textsize.width)/2, (window_height - textsize.height)/2);
   int lineType = 8;
 
@@ -313,7 +313,7 @@ int Displaying_Big_End( Mat image, char* window_name, RNG )
   for( int i = 0; i < 255; i += 2 )
   {
     image2 = image - Scalar::all(i);
-    putText( image2, "OpenCV forever!", org, CV_FONT_HERSHEY_COMPLEX, 3,
+    putText( image2, "OpenCV forever!", org, FONT_HERSHEY_COMPLEX, 3,
              Scalar(i, i, 255), 5, lineType );
 
     imshow( window_name, image2 );

samples/cpp/tutorial_code/core/interoperability_with_OpenCV_1/interoperability_with_OpenCV_1.cpp

@@ -45,7 +45,7 @@ int main( int argc, char** argv )
 
     // convert image to YUV color space. The output image will be created automatically.
     Mat I_YUV;
-    cvtColor(I, I_YUV, CV_BGR2YCrCb);
+    cvtColor(I, I_YUV, COLOR_BGR2YCrCb);
 
     vector<Mat> planes;    // Use the STL's vector structure to store multiple Mat objects
     split(I_YUV, planes);  // split the image into separate color planes (Y U V)
@@ -117,7 +117,7 @@ int main( int argc, char** argv )
     cvtColor(I_YUV, I, CV_YCrCb2BGR);  // and produce the output RGB image
 
 
-    namedWindow("image with grain", CV_WINDOW_AUTOSIZE);   // use this to create images
+    namedWindow("image with grain", WINDOW_AUTOSIZE);   // use this to create images
 
 #ifdef DEMO_MIXED_API_USE
     // this is to demonstrate that I and IplI really share the data - the result of the above

samples/cpp/tutorial_code/core/mat_mask_operations/mat_mask_operations.cpp

@@ -30,8 +30,8 @@ int main( int argc, char* argv[])
     else
         I = imread( filename, CV_LOAD_IMAGE_COLOR);
 
-    namedWindow("Input", CV_WINDOW_AUTOSIZE);
-    namedWindow("Output", CV_WINDOW_AUTOSIZE);
+    namedWindow("Input", WINDOW_AUTOSIZE);
+    namedWindow("Output", WINDOW_AUTOSIZE);
 
     imshow("Input", I);
     double t = (double)getTickCount();
@@ -42,7 +42,7 @@ int main( int argc, char* argv[])
     cout << "Hand written function times passed in seconds: " << t << endl;
 
     imshow("Output", J);
-    cvWaitKey(0);
+    waitKey(0);
 
     Mat kern = (Mat_<char>(3,3) <<  0, -1,  0,
                                    -1,  5, -1,
@@ -54,7 +54,7 @@ int main( int argc, char* argv[])
 
     imshow("Output", K);
 
-    cvWaitKey(0);
+    waitKey(0);
     return 0;
 }
 void Sharpen(const Mat& myImage,Mat& Result)

samples/cpp/tutorial_code/features2D/SURF_Homography.cpp

@@ -95,8 +95,8 @@ int main( int argc, char** argv )
 
   //-- Get the corners from the image_1 ( the object to be "detected" )
   std::vector<Point2f> obj_corners(4);
-  obj_corners[0] = cvPoint(0,0); obj_corners[1] = cvPoint( img_object.cols, 0 );
-  obj_corners[2] = cvPoint( img_object.cols, img_object.rows ); obj_corners[3] = cvPoint( 0, img_object.rows );
+  obj_corners[0] = Point(0,0); obj_corners[1] = Point( img_object.cols, 0 );
+  obj_corners[2] = Point( img_object.cols, img_object.rows ); obj_corners[3] = Point( 0, img_object.rows );
   std::vector<Point2f> scene_corners(4);
 
   perspectiveTransform( obj_corners, scene_corners, H);

samples/cpp/tutorial_code/introduction/display_image/display_image.cpp

@@ -22,7 +22,7 @@ int main( int argc, char** argv )
         return -1;
     }
 
-    namedWindow( "Display window", CV_WINDOW_AUTOSIZE );// Create a window for display.
+    namedWindow( "Display window", WINDOW_AUTOSIZE );// Create a window for display.
     imshow( "Display window", image );                   // Show our image inside it.
 
     waitKey(0);											 // Wait for a keystroke in the window

samples/cpp/tutorial_code/introduction/windows_visual_studio_Opencv/Test.cpp

@@ -74,10 +74,10 @@ int main(int argc, char *argv[])
     const char* WIN_RF = "Reference";
 
     // Windows
-            namedWindow(WIN_RF, CV_WINDOW_AUTOSIZE );
-            namedWindow(WIN_UT, CV_WINDOW_AUTOSIZE );
-            cvMoveWindow(WIN_RF, 400       ,            0);		 //750,  2 (bernat =0)
-            cvMoveWindow(WIN_UT, refS.width,            0);		 //1500, 2
+            namedWindow(WIN_RF, WINDOW_AUTOSIZE );
+            namedWindow(WIN_UT, WINDOW_AUTOSIZE );
+            moveWindow(WIN_RF, 400       ,            0);		 //750,  2 (bernat =0)
+            moveWindow(WIN_UT, refS.width,            0);		 //1500, 2
 
     cout << "Frame resolution: Width=" << refS.width << "  Height=" << refS.height
          << " of nr#: " << captRefrnc.get(CV_CAP_PROP_FRAME_COUNT) << endl;
@@ -124,7 +124,7 @@ int main(int argc, char *argv[])
         imshow( WIN_RF, frameReference);
         imshow( WIN_UT, frameUnderTest);
 
-        c = (char)cvWaitKey(delay);
+        c = (char)waitKey(delay);
         if (c == 27) break;
     }
 

samples/cpp/tutorial_code/objectDetection/objectDetection.cpp

@@ -30,7 +30,7 @@ RNG rng(12345);
  */
 int main( void )
 {
-  CvCapture* capture;
+  VideoCapture capture;
   Mat frame;
 
   //-- 1. Load the cascades
@@ -38,12 +38,12 @@ int main( void )
   if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
 
   //-- 2. Read the video stream
-  capture = cvCaptureFromCAM( -1 );
-  if( capture )
+  capture.open( -1 );
+  if( capture.isOpened() )
   {
     for(;;)
     {
-      frame = cvQueryFrame( capture );
+      capture >> frame;
 
       //-- 3. Apply the classifier to the frame
       if( !frame.empty() )
@@ -67,7 +67,7 @@ void detectAndDisplay( Mat frame )
    std::vector<Rect> faces;
    Mat frame_gray;
 
-   cvtColor( frame, frame_gray, CV_BGR2GRAY );
+   cvtColor( frame, frame_gray, COLOR_BGR2GRAY );
    equalizeHist( frame_gray, frame_gray );
    //-- Detect faces
    face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(30, 30) );

samples/cpp/tutorial_code/objectDetection/objectDetection2.cpp

@@ -30,7 +30,7 @@ RNG rng(12345);
  */
 int main( void )
 {
-  CvCapture* capture;
+  VideoCapture capture;
   Mat frame;
 
   //-- 1. Load the cascade
@@ -38,12 +38,12 @@ int main( void )
   if( !eyes_cascade.load( eyes_cascade_name ) ){ printf("--(!)Error loading\n"); return -1; };
 
   //-- 2. Read the video stream
-  capture = cvCaptureFromCAM( -1 );
-  if( capture )
+  capture.open( -1 );
+  if( capture.isOpened() )
   {
     for(;;)
     {
-      frame = cvQueryFrame( capture );
+      capture >> frame;
 
       //-- 3. Apply the classifier to the frame
       if( !frame.empty() )
@@ -67,7 +67,7 @@ void detectAndDisplay( Mat frame )
    std::vector<Rect> faces;
    Mat frame_gray;
 
-   cvtColor( frame, frame_gray, CV_BGR2GRAY );
+   cvtColor( frame, frame_gray, COLOR_BGR2GRAY );
    equalizeHist( frame_gray, frame_gray );
 
    //-- Detect faces

samples/cpp/video_dmtx.cpp

@@ -52,7 +52,7 @@ namespace
             if (frame.empty())
                 break;
             cv::Mat gray;
-            cv::cvtColor(frame,gray,CV_RGB2GRAY);
+            cv::cvtColor(frame,gray,COLOR_RGB2GRAY);
             vector<string> codes;
             Mat corners;
             findDataMatrix(gray, codes, corners);

samples/cpp/video_homography.cpp

@@ -161,7 +161,7 @@ int main(int ac, char ** av)
         if (frame.empty())
             break;
 
-        cvtColor(frame, gray, CV_RGB2GRAY);
+        cvtColor(frame, gray, COLOR_RGB2GRAY);
 
         detector.detect(gray, query_kpts); //Find interest points
 

samples/cpp/watershed.cpp

@@ -58,8 +58,8 @@ int main( int argc, char** argv )
     namedWindow( "image", 1 );
 
     img0.copyTo(img);
-    cvtColor(img, markerMask, CV_BGR2GRAY);
-    cvtColor(markerMask, imgGray, CV_GRAY2BGR);
+    cvtColor(img, markerMask, COLOR_BGR2GRAY);
+    cvtColor(markerMask, imgGray, COLOR_GRAY2BGR);
     markerMask = Scalar::all(0);
     imshow( "image", img );
     setMouseCallback( "image", onMouse, 0 );