/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "perf_precomp.hpp" namespace opencv_test { namespace { ////////////////////////////////////////////////////////////////////// // Canny DEF_PARAM_TEST(Image_AppertureSz_L2gradient, string, int, bool); PERF_TEST_P(Image_AppertureSz_L2gradient, Canny, Combine(Values("perf/800x600.png", "perf/1280x1024.png", "perf/1680x1050.png"), Values(3, 5), Bool())) { const string fileName = GET_PARAM(0); const int apperture_size = GET_PARAM(1); const bool useL2gradient = GET_PARAM(2); const cv::Mat image = readImage(fileName, cv::IMREAD_GRAYSCALE); ASSERT_FALSE(image.empty()); const double low_thresh = 50.0; const double high_thresh = 100.0; if (PERF_RUN_CUDA()) { const cv::cuda::GpuMat d_image(image); cv::cuda::GpuMat dst; cv::Ptr<cv::cuda::CannyEdgeDetector> canny = cv::cuda::createCannyEdgeDetector(low_thresh, high_thresh, apperture_size, useL2gradient); TEST_CYCLE() canny->detect(d_image, dst); CUDA_SANITY_CHECK(dst); } else { cv::Mat dst; TEST_CYCLE() cv::Canny(image, dst, low_thresh, high_thresh, apperture_size, useL2gradient); CPU_SANITY_CHECK(dst); } } }} // namespace