mirror of
https://github.com/opencv/opencv.git
synced 2026-07-30 07:43:03 +04:00
Move cv::Mat out of core.hpp
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@@ -1,6 +1,7 @@
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#include "opencv2/objdetect/objdetect.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/core/utility.hpp"
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#include <cctype>
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#include <iostream>
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@@ -124,7 +125,7 @@ int main( int argc, const char** argv )
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for(;;)
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{
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IplImage* iplImg = cvQueryFrame( capture );
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frame = iplImg;
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frame = cv::cvarrToMat(iplImg);
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if( frame.empty() )
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break;
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if( iplImg->origin == IPL_ORIGIN_TL )
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@@ -1,6 +1,7 @@
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#include "opencv2/objdetect/objdetect.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/core/utility.hpp"
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#include <cctype>
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#include <iostream>
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@@ -120,7 +121,7 @@ int main( int argc, const char** argv )
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for(;;)
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{
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IplImage* iplImg = cvQueryFrame( capture );
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frame = iplImg;
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frame = cv::cvarrToMat(iplImg);
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if( frame.empty() )
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break;
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if( iplImg->origin == IPL_ORIGIN_TL )
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@@ -1,5 +1,6 @@
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#include "opencv2/ml/ml.hpp"
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#include "opencv2/core/core_c.h"
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#include "opencv2/core/utility.hpp"
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#include <stdio.h>
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#include <map>
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@@ -21,7 +22,7 @@ static void help()
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static int count_classes(CvMLData& data)
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{
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cv::Mat r(data.get_responses());
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cv::Mat r = cv::cvarrToMat(data.get_responses());
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std::map<int, int> rmap;
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int i, n = (int)r.total();
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for( i = 0; i < n; i++ )
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@@ -42,7 +43,7 @@ static void print_result(float train_err, float test_err, const CvMat* _var_imp)
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if (_var_imp)
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{
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cv::Mat var_imp(_var_imp), sorted_idx;
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cv::Mat var_imp = cv::cvarrToMat(_var_imp), sorted_idx;
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cv::sortIdx(var_imp, sorted_idx, CV_SORT_EVERY_ROW + CV_SORT_DESCENDING);
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printf( "variable importance:\n" );
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@@ -118,7 +118,7 @@ static void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source,
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cvNormalize(grayImage, grayImage, 0, 255, CV_MINMAX);
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cvThreshold( grayImage, grayImage, 26, 255, CV_THRESH_BINARY_INV);//25
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Mat MgrayImage = grayImage;
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Mat MgrayImage = cv::cvarrToMat(grayImage);
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//For debug
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//MgrayImage = MgrayImage.clone();//deep copy
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vector<vector<Point> > contours;
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@@ -184,7 +184,7 @@ static void foundCorners(vector<CvPoint2D32f> *srcImagePoints,IplImage* source,
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}
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srcImagePoints->at(3) = srcImagePoints_temp.at(index);
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Mat Msource = source;
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Mat Msource = cv::cvarrToMat(source);
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stringstream ss;
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for(size_t i = 0 ; i<srcImagePoints_temp.size(); i++ )
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{
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@@ -3,6 +3,7 @@
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/flann/miniflann.hpp"
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#include "opencv2/core/utility.hpp"
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using namespace cv; // all the new API is put into "cv" namespace. Export its content
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using namespace std;
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@@ -32,7 +33,7 @@ int main( int argc, char** argv )
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fprintf(stderr, "Can not load image %s\n", imagename);
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return -1;
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}
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Mat img(iplimg); // cv::Mat replaces the CvMat and IplImage, but it's easy to convert
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Mat img = cv::cvarrToMat(iplimg); // cv::Mat replaces the CvMat and IplImage, but it's easy to convert
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// between the old and the new data structures (by default, only the header
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// is converted, while the data is shared)
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#else
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+2
-1
@@ -4,6 +4,7 @@
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#include <opencv2/core/core.hpp>
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#include <opencv2/imgproc/imgproc.hpp>
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#include <opencv2/highgui/highgui.hpp>
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#include <opencv2/core/utility.hpp>"
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using namespace cv; // The new C++ interface API is inside this namespace. Import it.
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using namespace std;
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@@ -33,7 +34,7 @@ int main( int argc, char** argv )
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cerr << "Can not load image " << imagename << endl;
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return -1;
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}
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Mat I(IplI); // Convert to the new style container. Only header created. Image not copied.
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Mat I = cv::cvarrToMat(IplI); // Convert to the new style container. Only header created. Image not copied.
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#else
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Mat I = imread(imagename); // the newer cvLoadImage alternative, MATLAB-style function
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if( I.empty() ) // same as if( !I.data )
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@@ -6,6 +6,7 @@
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#include "opencv2/objdetect/objdetect.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/core/utility.hpp"
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#include <iostream>
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#include <stdio.h>
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@@ -43,7 +44,7 @@ int main( void )
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{
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for(;;)
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{
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frame = cvQueryFrame( capture );
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frame = cv::cvarrToMat(cvQueryFrame( capture ));
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//-- 3. Apply the classifier to the frame
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if( !frame.empty() )
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@@ -6,6 +6,7 @@
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#include "opencv2/objdetect/objdetect.hpp"
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#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include "opencv2/core/utility.hpp"
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#include <iostream>
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#include <stdio.h>
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@@ -43,7 +44,7 @@ int main( void )
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{
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for(;;)
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{
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frame = cvQueryFrame( capture );
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frame = cv::cvarrToMat(cvQueryFrame( capture ));
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//-- 3. Apply the classifier to the frame
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if( !frame.empty() )
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