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Open Source Computer Vision Library
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133 lines
4.9 KiB
133 lines
4.9 KiB
/*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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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. |
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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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 the copyright holders 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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#include "opencv2/ts/ocl_test.hpp" |
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#ifdef HAVE_OPENCL |
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namespace opencv_test { |
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namespace ocl { |
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///////////////////////////////////////////// matchTemplate ////////////////////////////////////////////////////////// |
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CV_ENUM(MatchTemplType, cv::TM_CCORR, cv::TM_CCORR_NORMED, cv::TM_SQDIFF, cv::TM_SQDIFF_NORMED, cv::TM_CCOEFF, cv::TM_CCOEFF_NORMED) |
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PARAM_TEST_CASE(MatchTemplate, MatDepth, Channels, MatchTemplType, bool) |
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{ |
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int type; |
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int depth; |
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int method; |
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bool use_roi; |
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TEST_DECLARE_INPUT_PARAMETER(image); |
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TEST_DECLARE_INPUT_PARAMETER(templ); |
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TEST_DECLARE_OUTPUT_PARAMETER(result); |
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virtual void SetUp() |
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{ |
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type = CV_MAKE_TYPE(GET_PARAM(0), GET_PARAM(1)); |
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depth = GET_PARAM(0); |
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method = GET_PARAM(2); |
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use_roi = GET_PARAM(3); |
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} |
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void generateTestData() |
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{ |
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Size image_roiSize = randomSize(2, 100); |
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Size templ_roiSize = Size(randomInt(1, image_roiSize.width), randomInt(1, image_roiSize.height)); |
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Size result_roiSize = Size(image_roiSize.width - templ_roiSize.width + 1, |
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image_roiSize.height - templ_roiSize.height + 1); |
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const double upValue = 256; |
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Border imageBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(image, image_roi, image_roiSize, imageBorder, type, -upValue, upValue); |
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Border templBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(templ, templ_roi, templ_roiSize, templBorder, type, -upValue, upValue); |
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Border resultBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(result, result_roi, result_roiSize, resultBorder, CV_32FC1, -upValue, upValue); |
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UMAT_UPLOAD_INPUT_PARAMETER(image); |
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UMAT_UPLOAD_INPUT_PARAMETER(templ); |
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UMAT_UPLOAD_OUTPUT_PARAMETER(result); |
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} |
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void Near() |
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{ |
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bool isNormed = |
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method == TM_CCORR_NORMED || |
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method == TM_SQDIFF_NORMED || |
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method == TM_CCOEFF_NORMED; |
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if (isNormed) |
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OCL_EXPECT_MATS_NEAR(result, 3e-2); |
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else |
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OCL_EXPECT_MATS_NEAR_RELATIVE_SPARSE(result, 1.5e-2); |
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} |
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}; |
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OCL_TEST_P(MatchTemplate, Mat) |
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{ |
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for (int j = 0; j < test_loop_times; j++) |
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{ |
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generateTestData(); |
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OCL_OFF(cv::matchTemplate(image_roi, templ_roi, result_roi, method)); |
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OCL_ON(cv::matchTemplate(uimage_roi, utempl_roi, uresult_roi, method)); |
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Near(); |
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} |
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} |
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OCL_INSTANTIATE_TEST_CASE_P(ImageProc, MatchTemplate, Combine( |
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Values(CV_8U, CV_32F), |
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Values(1, 2, 3, 4), |
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MatchTemplType::all(), |
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Bool()) |
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); |
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} } // namespace opencv_test::ocl |
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#endif
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