/*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) 2010-2012, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Peng Xiao, pengxiao@multicorewareinc.com // // 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 "../test_precomp.hpp" #include "opencv2/ts/ocl_test.hpp" #ifdef HAVE_OPENCL namespace cvtest { namespace ocl { //////////////////////////////////////////////////////// // Canny IMPLEMENT_PARAM_CLASS(ApertureSize, int) IMPLEMENT_PARAM_CLASS(L2gradient, bool) IMPLEMENT_PARAM_CLASS(UseRoi, bool) PARAM_TEST_CASE(Canny, Channels, ApertureSize, L2gradient, UseRoi) { int cn, aperture_size; bool useL2gradient, use_roi; TEST_DECLARE_INPUT_PARAMETER(src); TEST_DECLARE_OUTPUT_PARAMETER(dst); virtual void SetUp() { cn = GET_PARAM(0); aperture_size = GET_PARAM(1); useL2gradient = GET_PARAM(2); use_roi = GET_PARAM(3); } void generateTestData() { Mat img = readImageType("shared/fruits.png", CV_8UC(cn)); ASSERT_FALSE(img.empty()) << "cann't load shared/fruits.png"; Size roiSize = img.size(); int type = img.type(); Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(src, src_roi, roiSize, srcBorder, type, 2, 100); img.copyTo(src_roi); Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16); UMAT_UPLOAD_INPUT_PARAMETER(src); UMAT_UPLOAD_OUTPUT_PARAMETER(dst); } }; OCL_TEST_P(Canny, Accuracy) { generateTestData(); const double low_thresh = 50.0, high_thresh = 100.0; double eps = 0.03; OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, aperture_size, useL2gradient)); OCL_ON(cv::Canny(usrc_roi, udst_roi, low_thresh, high_thresh, aperture_size, useL2gradient)); EXPECT_MAT_SIMILAR(dst_roi, udst_roi, eps); EXPECT_MAT_SIMILAR(dst, udst, eps); } OCL_TEST_P(Canny, AccuracyCustomGradient) { generateTestData(); const double low_thresh = 50.0, high_thresh = 100.0; double eps = 0.03; OCL_OFF(cv::Canny(src_roi, dst_roi, low_thresh, high_thresh, aperture_size, useL2gradient)); OCL_ON( UMat dx, dy; Sobel(usrc_roi, dx, CV_16S, 1, 0, aperture_size, 1, 0, BORDER_REPLICATE); Sobel(usrc_roi, dy, CV_16S, 0, 1, aperture_size, 1, 0, BORDER_REPLICATE); cv::Canny(dx, dy, udst_roi, low_thresh, high_thresh, useL2gradient); ); EXPECT_MAT_SIMILAR(dst_roi, udst_roi, eps); EXPECT_MAT_SIMILAR(dst, udst, eps); } OCL_INSTANTIATE_TEST_CASE_P(ImgProc, Canny, testing::Combine( testing::Values(1, 3), testing::Values(ApertureSize(3), ApertureSize(5)), testing::Values(L2gradient(false), L2gradient(true)), testing::Values(UseRoi(false), UseRoi(true)))); } } // namespace cvtest::ocl #endif // HAVE_OPENCL