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Open Source Computer Vision Library
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250 lines
8.0 KiB
250 lines
8.0 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, Institute Of Software Chinese Academy Of Science, all rights reserved. |
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. |
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// Copyright (C) 2010-2012, Multicoreware, 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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// @Authors |
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// Jia Haipeng, jiahaipeng95@gmail.com |
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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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#ifdef HAVE_OPENCL |
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using namespace cv; |
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using namespace testing; |
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using namespace std; |
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////////////////////////////////converto///////////////////////////////////////////////// |
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PARAM_TEST_CASE(MatrixTestBase, MatDepth, MatDepth, int, bool) |
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{ |
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int src_depth, cn, dstType; |
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bool use_roi; |
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Mat src, dst, src_roi, dst_roi; |
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ocl::oclMat gdst, gsrc, gdst_roi, gsrc_roi; |
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virtual void SetUp() |
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{ |
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src_depth = GET_PARAM(0); |
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cn = GET_PARAM(2); |
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dstType = CV_MAKE_TYPE(GET_PARAM(1), cn); |
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use_roi = GET_PARAM(3); |
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} |
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virtual void random_roi() |
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{ |
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Size roiSize = randomSize(1, MAX_VALUE); |
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Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKE_TYPE(src_depth, cn), -MAX_VALUE, MAX_VALUE); |
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Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(dst, dst_roi, roiSize, dstBorder, dstType, 5, 16); |
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generateOclMat(gsrc, gsrc_roi, src, roiSize, srcBorder); |
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generateOclMat(gdst, gdst_roi, dst, roiSize, dstBorder); |
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} |
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}; |
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typedef MatrixTestBase ConvertTo; |
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OCL_TEST_P(ConvertTo, Accuracy) |
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{ |
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for (int j = 0; j < LOOP_TIMES; j++) |
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{ |
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random_roi(); |
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src_roi.convertTo(dst_roi, dstType); |
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gsrc_roi.convertTo(gdst_roi, dstType); |
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EXPECT_MAT_NEAR(dst, Mat(gdst), src_depth == CV_64F ? 1.0 : 0.0); |
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EXPECT_MAT_NEAR(dst_roi, Mat(gdst_roi), src_depth == CV_64F ? 1.0 : 0.0); |
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} |
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} |
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///////////////////////////////////////////copyto///////////////////////////////////////////////////////////// |
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struct CopyTo : |
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public MatrixTestBase |
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{ |
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Mat mask, mask_roi; |
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ocl::oclMat gmask, gmask_roi; |
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virtual void random_roi() |
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{ |
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int type = CV_MAKE_TYPE(src_depth, cn); |
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Size roiSize = randomSize(1, MAX_VALUE); |
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Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(src, src_roi, roiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE); |
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Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(dst, dst_roi, roiSize, dstBorder, type, 5, 16); |
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Border maskBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(mask, mask_roi, roiSize, maskBorder, CV_8UC1, 5, 16); |
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generateOclMat(gsrc, gsrc_roi, src, roiSize, srcBorder); |
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generateOclMat(gdst, gdst_roi, dst, roiSize, dstBorder); |
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generateOclMat(gmask, gmask_roi, mask, roiSize, maskBorder); |
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} |
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}; |
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OCL_TEST_P(CopyTo, Without_mask) |
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{ |
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for (int j = 0; j < LOOP_TIMES; j++) |
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{ |
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random_roi(); |
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src_roi.copyTo(dst_roi); |
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gsrc_roi.copyTo(gdst_roi); |
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EXPECT_MAT_NEAR(dst, Mat(gdst), 0.0); |
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EXPECT_MAT_NEAR(dst_roi, Mat(gdst_roi), 0.0); |
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} |
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} |
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OCL_TEST_P(CopyTo, With_mask) |
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{ |
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for (int j = 0; j < LOOP_TIMES; j++) |
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{ |
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random_roi(); |
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src_roi.copyTo(dst_roi, mask_roi); |
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gsrc_roi.copyTo(gdst_roi, gmask_roi); |
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EXPECT_MAT_NEAR(dst, Mat(gdst), 0.0); |
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EXPECT_MAT_NEAR(dst_roi, Mat(gdst_roi), 0.0); |
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} |
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} |
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/////////////////////////////////////////// setTo ///////////////////////////////////////////////////////////// |
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typedef CopyTo SetTo; |
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OCL_TEST_P(SetTo, Without_mask) |
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{ |
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for (int j = 0; j < LOOP_TIMES; j++) |
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{ |
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random_roi(); |
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Scalar scalar = randomScalar(-MAX_VALUE, MAX_VALUE); |
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src_roi.setTo(scalar); |
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gsrc_roi.setTo(scalar); |
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EXPECT_MAT_NEAR(dst, Mat(gdst), 0.0); |
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EXPECT_MAT_NEAR(dst_roi, Mat(gdst_roi), 0.0);; |
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} |
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} |
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OCL_TEST_P(SetTo, With_mask) |
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{ |
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for (int j = 0; j < LOOP_TIMES; j++) |
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{ |
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random_roi(); |
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Scalar scalar = randomScalar(-MAX_VALUE, MAX_VALUE); |
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src_roi.setTo(scalar, mask_roi); |
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gsrc_roi.setTo(scalar, gmask_roi); |
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EXPECT_MAT_NEAR(src, Mat(gsrc), 1.); |
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EXPECT_MAT_NEAR(src_roi, Mat(gsrc_roi), 1.); |
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} |
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} |
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// convertC3C4 |
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PARAM_TEST_CASE(convertC3C4, MatDepth, bool) |
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{ |
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int depth; |
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bool use_roi; |
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Mat src, src_roi; |
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ocl::oclMat gsrc, gsrc_roi; |
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virtual void SetUp() |
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{ |
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depth = GET_PARAM(0); |
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use_roi = GET_PARAM(1); |
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} |
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void random_roi() |
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{ |
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int type = CV_MAKE_TYPE(depth, 3); |
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Size roiSize = randomSize(1, MAX_VALUE); |
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Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(src, src_roi, roiSize, srcBorder, type, -MAX_VALUE, MAX_VALUE); |
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generateOclMat(gsrc, gsrc_roi, src, roiSize, srcBorder); |
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} |
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}; |
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OCL_TEST_P(convertC3C4, Accuracy) |
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{ |
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for (int j = 0; j < LOOP_TIMES; j++) |
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{ |
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random_roi(); |
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gsrc_roi = src_roi; |
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EXPECT_MAT_NEAR(src_roi, Mat(gsrc_roi), 0.0); |
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EXPECT_MAT_NEAR(src, Mat(gsrc), 0.0); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(MatrixOperation, ConvertTo, Combine( |
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Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), |
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Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), |
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testing::Range(1, 5), Bool())); |
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INSTANTIATE_TEST_CASE_P(MatrixOperation, CopyTo, Combine( |
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Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), |
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Values(MatDepth(0)), // not used |
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testing::Range(1, 5), Bool())); |
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INSTANTIATE_TEST_CASE_P(MatrixOperation, SetTo, Combine( |
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Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), |
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Values((MatDepth)0), // not used |
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testing::Range(1, 5), Bool())); |
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INSTANTIATE_TEST_CASE_P(MatrixOperation, convertC3C4, Combine( |
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Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), |
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Bool())); |
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#endif
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