Tegra-optimized Canny
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@ -11,10 +11,10 @@ typedef perf::TestBaseWithParam<Img_Aperture_L2_thresholds_t> Img_Aperture_L2_th
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PERF_TEST_P( Img_Aperture_L2_thresholds, canny,
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testing::Combine(
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testing::Values( "cv/shared/lena.jpg", "stitching/b1.jpg" ),
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testing::Values( "cv/shared/lena.jpg", "stitching/b1.jpg", "cv/detectors_descriptors_evaluation/images_datasets/leuven/img1.png" ),
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testing::Values( 3, 5 ),
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testing::Bool(),
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testing::Values( make_tuple(50.0, 100.0), make_tuple(0.0, 50.0) )
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testing::Values( make_tuple(50.0, 100.0), make_tuple(0.0, 50.0), make_tuple(100.0, 120.0) )
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)
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)
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{
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@ -45,6 +45,11 @@ CV_IMPL void cvCanny( const void* srcarr, void* dstarr,
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double low_thresh, double high_thresh,
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int aperture_size )
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{
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#ifdef HAVE_TEGRA_OPTIMIZATION
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if (tegra::canny(cv::cvarrToMat(srcarr), cv::cvarrToMat(dstarr), low_thresh, high_thresh,
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aperture_size & ~CV_CANNY_L2_GRADIENT, (aperture_size & CV_CANNY_L2_GRADIENT) == CV_CANNY_L2_GRADIENT))
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return;
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#endif
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cv::Ptr<CvMat> dx, dy;
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cv::AutoBuffer<char> buffer;
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std::vector<uchar*> stack;
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@ -1,5 +1,5 @@
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from optparse import OptionParser
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import glob, sys, os
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import glob, sys, os, re
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if __name__ == "__main__":
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parser = OptionParser()
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@ -29,7 +29,7 @@ if __name__ == "__main__":
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continue
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idx1 = text.find("<tbody>") + len("<tbody>")
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idx2 = html.rfind("</tbody>")
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html = html[:idx2] + text[idx1:]
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html = html[:idx2] + re.sub(r"[ \t\n\r]+", " ", text[idx1:])
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except:
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pass
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