73 lines
2.1 KiB
C++
73 lines
2.1 KiB
C++
#include "opencv2/imgproc.hpp"
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#include "opencv2/imgcodecs.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, char** argv)
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{
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cv::CommandLineParser parser(argc, argv,
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"{input i|building.jpg|input image}"
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"{refine r|false|if true use LSD_REFINE_STD method, if false use LSD_REFINE_NONE method}"
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"{canny c|false|use Canny edge detector}"
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"{overlay o|false|show result on input image}"
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"{help h|false|show help message}");
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if (parser.get<bool>("help"))
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{
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parser.printMessage();
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return 0;
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}
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parser.printMessage();
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String filename = samples::findFile(parser.get<String>("input"));
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bool useRefine = parser.get<bool>("refine");
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bool useCanny = parser.get<bool>("canny");
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bool overlay = parser.get<bool>("overlay");
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Mat image = imread(filename, IMREAD_GRAYSCALE);
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if( image.empty() )
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{
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cout << "Unable to load " << filename;
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return 1;
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}
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imshow("Source Image", image);
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if (useCanny)
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{
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Canny(image, image, 50, 200, 3); // Apply Canny edge detector
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}
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// Create and LSD detector with standard or no refinement.
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Ptr<LineSegmentDetector> ls = useRefine ? createLineSegmentDetector(LSD_REFINE_STD) : createLineSegmentDetector(LSD_REFINE_NONE);
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double start = double(getTickCount());
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vector<Vec4f> lines_std;
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// Detect the lines
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ls->detect(image, lines_std);
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double duration_ms = (double(getTickCount()) - start) * 1000 / getTickFrequency();
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std::cout << "It took " << duration_ms << " ms." << std::endl;
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// Show found lines
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if (!overlay || useCanny)
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{
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image = Scalar(0, 0, 0);
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}
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ls->drawSegments(image, lines_std);
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String window_name = useRefine ? "Result - standard refinement" : "Result - no refinement";
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window_name += useCanny ? " - Canny edge detector used" : "";
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imshow(window_name, image);
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waitKey();
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return 0;
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}
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