/*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. // // // 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 opencv_test { namespace ocl { ///////////////////////////////////////////// matchTemplate ////////////////////////////////////////////////////////// CV_ENUM(MatchTemplType, CV_TM_CCORR, CV_TM_CCORR_NORMED, CV_TM_SQDIFF, CV_TM_SQDIFF_NORMED, CV_TM_CCOEFF, CV_TM_CCOEFF_NORMED) PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, MatchTemplType, bool) { int type; int depth; int method; bool use_roi; TEST_DECLARE_INPUT_PARAMETER(image); TEST_DECLARE_INPUT_PARAMETER(templ); TEST_DECLARE_OUTPUT_PARAMETER(result); virtual void SetUp() { type = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1)); depth = GET_PARAM(0); method = GET_PARAM(2); use_roi = GET_PARAM(3); } void generateTestData() { Size image_roiSize = randomSize(2, 100); Size templ_roiSize = Size(randomInt(1, image_roiSize.width), randomInt(1, image_roiSize.height)); Size result_roiSize = Size(image_roiSize.width - templ_roiSize.width + 1, image_roiSize.height - templ_roiSize.height + 1); const double upValue = 256; Border imageBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(image, image_roi, image_roiSize, imageBorder, type, -upValue, upValue); Border templBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(templ, templ_roi, templ_roiSize, templBorder, type, -upValue, upValue); Border resultBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); randomSubMat(result, result_roi, result_roiSize, resultBorder, CV_32FC1, -upValue, upValue); UMAT_UPLOAD_INPUT_PARAMETER(image); UMAT_UPLOAD_INPUT_PARAMETER(templ); UMAT_UPLOAD_OUTPUT_PARAMETER(result); } void Near() { bool isNormed = method == TM_CCORR_NORMED || method == TM_SQDIFF_NORMED || method == TM_CCOEFF_NORMED; if (isNormed) OCL_EXPECT_MATS_NEAR(result, 3e-2); else OCL_EXPECT_MATS_NEAR_RELATIVE_SPARSE(result, 1.5e-2); } }; OCL_TEST_P(MatchTemplate, Mat) { for (int j = 0; j < test_loop_times; j++) { generateTestData(); OCL_OFF(cv::matchTemplate(image_roi, templ_roi, result_roi, method)); OCL_ON(cv::matchTemplate(uimage_roi, utempl_roi, uresult_roi, method)); Near(); } } OCL_INSTANTIATE_TEST_CASE_P(ImageProc, MatchTemplate, Combine( Values(CV_8U, CV_32F), Values(1, 2, 3, 4), MatchTemplType::all(), Bool()) ); } } // namespace opencv_test::ocl #endif