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Open Source Computer Vision Library
https://opencv.org/
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53 lines
1.3 KiB
53 lines
1.3 KiB
#include <iostream> |
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#include <string> |
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#include "opencv2/core/core.hpp" |
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#include "opencv2/core/utility.hpp" |
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#include "opencv2/imgproc/imgproc.hpp" |
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#include "opencv2/imgcodecs.hpp" |
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#include "opencv2/highgui/highgui.hpp" |
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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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std::string in; |
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cv::CommandLineParser parser(argc, argv, "{@input|../data/building.jpg|input image}{help h||show help message}"); |
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if (parser.has("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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in = parser.get<string>("@input"); |
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Mat image = imread(in, IMREAD_GRAYSCALE); |
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#if 0 |
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Canny(image, image, 50, 200, 3); // Apply canny edge |
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#endif |
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// Create and LSD detector with standard or no refinement. |
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#if 1 |
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Ptr<LineSegmentDetector> ls = createLineSegmentDetector(LSD_REFINE_STD); |
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#else |
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Ptr<LineSegmentDetector> ls = createLineSegmentDetector(LSD_REFINE_NONE); |
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#endif |
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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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Mat drawnLines(image); |
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ls->drawSegments(drawnLines, lines_std); |
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imshow("Standard refinement", drawnLines); |
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waitKey(); |
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return 0; |
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}
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