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73 lines
2.1 KiB
C++
73 lines
2.1 KiB
C++
/**************************************************************************************
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The structered edge demo requires you to provide a model.
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This model can be found at the opencv_extra repository on Github on the following link:
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https://github.com/Itseez/opencv_extra/blob/master/testdata/cv/ximgproc/model.yml.gz
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***************************************************************************************/
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#include <opencv2/ximgproc.hpp>
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#include "opencv2/highgui.hpp"
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#include "opencv2/core/utility.hpp"
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using namespace cv;
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using namespace cv::ximgproc;
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const char* keys =
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{
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"{i || input image name}"
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"{m || model name}"
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"{o || output image name}"
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};
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int main( int argc, const char** argv )
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{
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bool printHelp = ( argc == 1 );
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printHelp = printHelp || ( argc == 2 && std::string(argv[1]) == "--help" );
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printHelp = printHelp || ( argc == 2 && std::string(argv[1]) == "-h" );
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if ( printHelp )
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{
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printf("\nThis sample demonstrates structured forests for fast edge detection\n"
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"Call:\n"
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" structured_edge_detection -i=in_image_name -m=model_name [-o=out_image_name]\n\n");
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return 0;
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}
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cv::CommandLineParser parser(argc, argv, keys);
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if ( !parser.check() )
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{
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parser.printErrors();
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return -1;
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}
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std::string modelFilename = parser.get<std::string>("m");
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std::string inFilename = parser.get<std::string>("i");
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std::string outFilename = parser.get<std::string>("o");
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cv::Mat image = cv::imread(inFilename, 1);
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if ( image.empty() )
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{
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printf("Cannot read image file: %s\n", inFilename.c_str());
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return -1;
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}
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image.convertTo(image, cv::DataType<float>::type, 1/255.0);
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cv::Mat edges(image.size(), image.type());
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cv::Ptr<StructuredEdgeDetection> pDollar =
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createStructuredEdgeDetection(modelFilename);
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pDollar->detectEdges(image, edges);
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if ( outFilename == "" )
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{
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cv::namedWindow("edges", 1);
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cv::imshow("edges", edges);
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cv::waitKey(0);
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}
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else
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cv::imwrite(outFilename, 255*edges);
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return 0;
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}
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