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229 lines
8.1 KiB
C++
229 lines
8.1 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of Intel Corporation may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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static void Canny_reference_follow( int x, int y, float lowThreshold, const Mat& mag, Mat& dst )
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{
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static const int ofs[][2] = {{1,0},{1,-1},{0,-1},{-1,-1},{-1,0},{-1,1},{0,1},{1,1}};
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int i;
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dst.at<uchar>(y, x) = (uchar)255;
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for( i = 0; i < 8; i++ )
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{
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int x1 = x + ofs[i][0];
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int y1 = y + ofs[i][1];
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if( (unsigned)x1 < (unsigned)mag.cols &&
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(unsigned)y1 < (unsigned)mag.rows &&
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mag.at<float>(y1, x1) > lowThreshold &&
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!dst.at<uchar>(y1, x1) )
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Canny_reference_follow( x1, y1, lowThreshold, mag, dst );
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}
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}
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static void Canny_reference( const Mat& src, Mat& dst,
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double threshold1, double threshold2,
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int aperture_size, bool use_true_gradient )
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{
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dst.create(src.size(), src.type());
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int m = aperture_size;
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Point anchor(m/2, m/2);
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const double tan_pi_8 = tan(CV_PI/8.);
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const double tan_3pi_8 = tan(CV_PI*3/8);
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float lowThreshold = (float)MIN(threshold1, threshold2);
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float highThreshold = (float)MAX(threshold1, threshold2);
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int x, y, width = src.cols, height = src.rows;
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Mat dxkernel = cvtest::calcSobelKernel2D( 1, 0, m, 0 );
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Mat dykernel = cvtest::calcSobelKernel2D( 0, 1, m, 0 );
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Mat dx, dy, mag(height, width, CV_32F);
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cvtest::filter2D(src, dx, CV_32S, dxkernel, anchor, 0, BORDER_REPLICATE);
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cvtest::filter2D(src, dy, CV_32S, dykernel, anchor, 0, BORDER_REPLICATE);
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// calc gradient magnitude
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for( y = 0; y < height; y++ )
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{
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for( x = 0; x < width; x++ )
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{
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int dxval = dx.at<int>(y, x), dyval = dy.at<int>(y, x);
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mag.at<float>(y, x) = use_true_gradient ?
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(float)sqrt((double)(dxval*dxval + dyval*dyval)) :
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(float)(fabs((double)dxval) + fabs((double)dyval));
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}
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}
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// calc gradient direction, do nonmaxima suppression
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for( y = 0; y < height; y++ )
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{
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for( x = 0; x < width; x++ )
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{
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float a = mag.at<float>(y, x), b = 0, c = 0;
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int y1 = 0, y2 = 0, x1 = 0, x2 = 0;
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if( a <= lowThreshold )
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continue;
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int dxval = dx.at<int>(y, x);
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int dyval = dy.at<int>(y, x);
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double tg = dxval ? (double)dyval/dxval : DBL_MAX*CV_SIGN(dyval);
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if( fabs(tg) < tan_pi_8 )
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{
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y1 = y2 = y; x1 = x + 1; x2 = x - 1;
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}
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else if( tan_pi_8 <= tg && tg <= tan_3pi_8 )
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{
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y1 = y + 1; y2 = y - 1; x1 = x + 1; x2 = x - 1;
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}
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else if( -tan_3pi_8 <= tg && tg <= -tan_pi_8 )
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{
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y1 = y - 1; y2 = y + 1; x1 = x + 1; x2 = x - 1;
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}
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else
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{
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CV_Assert( fabs(tg) > tan_3pi_8 );
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x1 = x2 = x; y1 = y + 1; y2 = y - 1;
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}
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if( (unsigned)y1 < (unsigned)height && (unsigned)x1 < (unsigned)width )
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b = (float)fabs(mag.at<float>(y1, x1));
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if( (unsigned)y2 < (unsigned)height && (unsigned)x2 < (unsigned)width )
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c = (float)fabs(mag.at<float>(y2, x2));
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if( (a > b || (a == b && ((x1 == x+1 && y1 == y) || (x1 == x && y1 == y+1)))) && a > c )
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;
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else
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mag.at<float>(y, x) = -a;
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}
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}
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dst = Scalar::all(0);
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// hysteresis threshold
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for( y = 0; y < height; y++ )
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{
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for( x = 0; x < width; x++ )
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if( mag.at<float>(y, x) > highThreshold && !dst.at<uchar>(y, x) )
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Canny_reference_follow( x, y, lowThreshold, mag, dst );
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}
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}
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//==============================================================================
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// aperture, true gradient
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typedef testing::TestWithParam<testing::tuple<int, bool>> Canny_Modes;
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TEST_P(Canny_Modes, accuracy)
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{
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const int aperture = get<0>(GetParam());
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const bool trueGradient = get<1>(GetParam());
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const double range = aperture == 3 ? 300. : 1000.;
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RNG & rng = TS::ptr()->get_rng();
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for (int ITER = 0; ITER < 20; ++ITER)
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{
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SCOPED_TRACE(cv::format("iteration %d", ITER));
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const std::string fname = cvtest::findDataFile("shared/fruits.png");
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const Mat original = cv::imread(fname, IMREAD_GRAYSCALE);
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const double thresh1 = rng.uniform(0., range);
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const double thresh2 = rng.uniform(0., range * 0.3);
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const Size sz(rng.uniform(127, 800), rng.uniform(127, 600));
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const Size osz = original.size();
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// preparation
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Mat img;
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if (sz.width >= osz.width || sz.height >= osz.height)
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{
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// larger image -> scale
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resize(original, img, sz, 0, 0, INTER_LINEAR_EXACT);
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}
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else
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{
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// smaller image -> crop
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Point origin(rng.uniform(0, osz.width - sz.width), rng.uniform(0, osz.height - sz.height));
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Rect roi(origin, sz);
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original(roi).copyTo(img);
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}
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GaussianBlur(img, img, Size(5, 5), 0);
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// regular function
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Mat result;
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{
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cv::Canny(img, result, thresh1, thresh2, aperture, trueGradient);
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}
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// custom derivatives
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Mat customResult;
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{
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Mat dxkernel = cvtest::calcSobelKernel2D(1, 0, aperture, 0);
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Mat dykernel = cvtest::calcSobelKernel2D(0, 1, aperture, 0);
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Point anchor(aperture / 2, aperture / 2);
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cv::Mat dx, dy;
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cvtest::filter2D(img, dx, CV_16S, dxkernel, anchor, 0, BORDER_REPLICATE);
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cvtest::filter2D(img, dy, CV_16S, dykernel, anchor, 0, BORDER_REPLICATE);
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cv::Canny(dx, dy, customResult, thresh1, thresh2, trueGradient);
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}
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Mat reference;
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Canny_reference(img, reference, thresh1, thresh2, aperture, trueGradient);
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EXPECT_MAT_NEAR(result, reference, 0);
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EXPECT_MAT_NEAR(customResult, reference, 0);
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}
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}
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INSTANTIATE_TEST_CASE_P(/**/, Canny_Modes,
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testing::Combine(
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testing::Values(3, 5),
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testing::Values(true, false)));
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}} // namespace
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/* End of file. */
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