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Open Source Computer Vision Library
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45 lines
1.3 KiB
45 lines
1.3 KiB
#include "perf_precomp.hpp" |
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#include "cmath" |
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using namespace std; |
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using namespace cv; |
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using namespace perf; |
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using std::tr1::make_tuple; |
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using std::tr1::get; |
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typedef std::tr1::tuple<string, double, double, int> Image_RhoStep_ThetaStep_Threshold_t; |
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typedef perf::TestBaseWithParam<Image_RhoStep_ThetaStep_Threshold_t> Image_RhoStep_ThetaStep_Threshold; |
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PERF_TEST_P(Image_RhoStep_ThetaStep_Threshold, HoughLines, |
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testing::Combine( |
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testing::Values( "cv/shared/pic5.png", "stitching/a1.png" ), |
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testing::Values( 1, 10 ), |
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testing::Values( 0.01, 0.1 ), |
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testing::Values( 300, 500 ) |
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) |
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) |
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{ |
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string filename = getDataPath(get<0>(GetParam())); |
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double rhoStep = get<1>(GetParam()); |
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double thetaStep = get<2>(GetParam()); |
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int threshold = get<3>(GetParam()); |
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Mat image = imread(filename, IMREAD_GRAYSCALE); |
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if (image.empty()) |
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FAIL() << "Unable to load source image" << filename; |
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Canny(image, image, 0, 0); |
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Mat lines; |
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declare.time(60); |
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TEST_CYCLE() HoughLines(image, lines, rhoStep, thetaStep, threshold); |
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transpose(lines, lines); |
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#if (0 && defined(HAVE_IPP) && !defined(HAVE_IPP_ICV_ONLY) && IPP_VERSION_X100 >= 801) |
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SANITY_CHECK_NOTHING(); |
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#else |
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SANITY_CHECK(lines); |
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#endif |
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}
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