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https://github.com/opencv/opencv.git
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7f9253ea0a
- CV_RGB() macro is moved into opencv2/imgproc.hpp from imgproc_c.h - samples/cpp/filestorage_base64.cpp is dropped
65 lines
1.6 KiB
C++
65 lines
1.6 KiB
C++
#include "opencv2/imgproc.hpp"
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#include "opencv2/highgui.hpp"
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#include <iostream>
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using namespace std;
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using namespace cv;
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int main( int argc, const char** argv )
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{
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CommandLineParser parser(argc, argv,
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"{ i | ../data/lena_tmpl.jpg |image name }"
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"{ t | ../data/tmpl.png |template name }"
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"{ m | ../data/mask.png |mask name }"
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"{ cm| 3 |comparison method }");
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cout << "This program demonstrates the use of template matching with mask.\n\n";
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parser.printMessage();
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string filename = parser.get<string>("i");
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string tmplname = parser.get<string>("t");
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string maskname = parser.get<string>("m");
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Mat img = imread(filename);
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Mat tmpl = imread(tmplname);
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Mat mask = imread(maskname);
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Mat res;
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if(img.empty())
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{
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cout << "can not open " << filename << endl;
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return -1;
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}
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if(tmpl.empty())
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{
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cout << "can not open " << tmplname << endl;
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return -1;
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}
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if(mask.empty())
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{
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cout << "can not open " << maskname << endl;
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return -1;
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}
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int method = parser.get<int>("cm"); // default 3 (CV_TM_CCORR_NORMED)
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matchTemplate(img, tmpl, res, method, mask);
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double minVal, maxVal;
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Point minLoc, maxLoc;
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Rect rect;
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minMaxLoc(res, &minVal, &maxVal, &minLoc, &maxLoc);
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if(method == TM_SQDIFF || method == TM_SQDIFF_NORMED)
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rect = Rect(minLoc, tmpl.size());
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else
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rect = Rect(maxLoc, tmpl.size());
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rectangle(img, rect, Scalar(0, 255, 0), 2);
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imshow("detected template", img);
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waitKey();
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return 0;
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}
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