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Open Source Computer Vision Library
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1604 lines
48 KiB
1604 lines
48 KiB
/////////////////////////////////////////////////////////////////////////////////////// |
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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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// Niko Li, newlife20080214@gmail.com |
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// Jia Haipeng, jiahaipeng95@gmail.com |
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// Shengen Yan, yanshengen@gmail.com |
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// Jiang Liyuan,jlyuan001.good@163.com |
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// Rock Li, Rock.Li@amd.com |
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// Zailong Wu, bullet@yeah.net |
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// Yao Wang, bitwangyaoyao@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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#include <iomanip> |
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#ifdef HAVE_OPENCL |
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using namespace cv; |
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using namespace cv::ocl; |
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using namespace cvtest; |
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using namespace testing; |
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using namespace std; |
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static bool relativeError(double actual, double expected, double eps) |
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{ |
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return std::abs(actual - expected) / actual < eps; |
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} |
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//////////////////////////////// LUT ///////////////////////////////////////////////// |
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PARAM_TEST_CASE(Lut, MatDepth, MatDepth, bool, bool) |
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{ |
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int lut_depth; |
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int cn; |
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bool use_roi, same_cn; |
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// src mat |
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cv::Mat src; |
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cv::Mat lut; |
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cv::Mat dst; |
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// src mat with roi |
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cv::Mat src_roi; |
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cv::Mat lut_roi; |
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cv::Mat dst_roi; |
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// ocl dst mat for testing |
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cv::ocl::oclMat gsrc_whole; |
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cv::ocl::oclMat glut_whole; |
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cv::ocl::oclMat gdst_whole; |
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// ocl mat with roi |
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cv::ocl::oclMat gsrc_roi; |
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cv::ocl::oclMat glut_roi; |
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cv::ocl::oclMat gdst_roi; |
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virtual void SetUp() |
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{ |
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lut_depth = GET_PARAM(0); |
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cn = GET_PARAM(1); |
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same_cn = GET_PARAM(2); |
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use_roi = GET_PARAM(3); |
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} |
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void random_roi() |
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{ |
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const int src_type = CV_MAKE_TYPE(CV_8U, cn); |
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const int lut_type = CV_MAKE_TYPE(lut_depth, same_cn ? cn : 1); |
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const int dst_type = CV_MAKE_TYPE(lut_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, src_type, 0, 256); |
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Size lutRoiSize = Size(256, 1); |
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Border lutBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(lut, lut_roi, lutRoiSize, lutBorder, lut_type, 5, 16); |
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Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(dst, dst_roi, roiSize, dstBorder, dst_type, 5, 16); |
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generateOclMat(gsrc_whole, gsrc_roi, src, roiSize, srcBorder); |
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generateOclMat(glut_whole, glut_roi, lut, lutRoiSize, lutBorder); |
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generateOclMat(gdst_whole, gdst_roi, dst, roiSize, dstBorder); |
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} |
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void Near(double threshold = 0.) |
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{ |
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Mat whole, roi; |
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gdst_whole.download(whole); |
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gdst_roi.download(roi); |
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EXPECT_MAT_NEAR(dst, whole, threshold); |
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EXPECT_MAT_NEAR(dst_roi, roi, threshold); |
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} |
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}; |
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OCL_TEST_P(Lut, Mat) |
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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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cv::LUT(src_roi, lut_roi, dst_roi); |
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cv::ocl::LUT(gsrc_roi, glut_roi, gdst_roi); |
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Near(); |
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} |
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} |
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///////////////////////// ArithmTestBase /////////////////////////// |
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PARAM_TEST_CASE(ArithmTestBase, MatDepth, Channels, bool) |
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{ |
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int depth; |
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int cn; |
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bool use_roi; |
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cv::Scalar val; |
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// src mat |
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cv::Mat src1; |
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cv::Mat src2; |
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cv::Mat mask; |
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cv::Mat dst1; |
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cv::Mat dst2; |
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// src mat with roi |
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cv::Mat src1_roi; |
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cv::Mat src2_roi; |
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cv::Mat mask_roi; |
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cv::Mat dst1_roi; |
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cv::Mat dst2_roi; |
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// ocl dst mat for testing |
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cv::ocl::oclMat gsrc1_whole; |
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cv::ocl::oclMat gsrc2_whole; |
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cv::ocl::oclMat gdst1_whole; |
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cv::ocl::oclMat gdst2_whole; |
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cv::ocl::oclMat gmask_whole; |
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// ocl mat with roi |
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cv::ocl::oclMat gsrc1_roi; |
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cv::ocl::oclMat gsrc2_roi; |
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cv::ocl::oclMat gdst1_roi; |
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cv::ocl::oclMat gdst2_roi; |
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cv::ocl::oclMat gmask_roi; |
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virtual void SetUp() |
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{ |
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depth = GET_PARAM(0); |
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cn = GET_PARAM(1); |
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use_roi = GET_PARAM(2); |
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} |
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virtual void random_roi() |
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{ |
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const int type = CV_MAKE_TYPE(depth, cn); |
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Size roiSize = randomSize(1, MAX_VALUE); |
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Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(src1, src1_roi, roiSize, src1Border, type, -11, 11); |
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Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(src2, src2_roi, roiSize, src2Border, type, -1540, 1740); |
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Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(dst1, dst1_roi, roiSize, dst1Border, type, 5, 16); |
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Border dst2Border = randomBorder(0, use_roi ? MAX_VALUE : 0); |
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randomSubMat(dst2, dst2_roi, roiSize, dst2Border, 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, 0, 2); |
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cv::threshold(mask, mask, 0.5, 255., CV_8UC1); |
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generateOclMat(gsrc1_whole, gsrc1_roi, src1, roiSize, src1Border); |
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generateOclMat(gsrc2_whole, gsrc2_roi, src2, roiSize, src2Border); |
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generateOclMat(gdst1_whole, gdst1_roi, dst1, roiSize, dst1Border); |
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generateOclMat(gdst2_whole, gdst2_roi, dst2, roiSize, dst2Border); |
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generateOclMat(gmask_whole, gmask_roi, mask, roiSize, maskBorder); |
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val = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0), |
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rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0)); |
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} |
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void Near(double threshold = 0.) |
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{ |
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Mat whole, roi; |
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gdst1_whole.download(whole); |
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gdst1_roi.download(roi); |
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EXPECT_MAT_NEAR(dst1, whole, threshold); |
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EXPECT_MAT_NEAR(dst1_roi, roi, threshold); |
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} |
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void Near1(double threshold = 0.) |
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{ |
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Mat whole, roi; |
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gdst2_whole.download(whole); |
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gdst2_roi.download(roi); |
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EXPECT_MAT_NEAR(dst2, whole, threshold); |
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EXPECT_MAT_NEAR(dst2_roi, roi, threshold); |
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} |
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}; |
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//////////////////////////////// Exp ///////////////////////////////////////////////// |
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typedef ArithmTestBase Exp; |
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OCL_TEST_P(Exp, Mat) |
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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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cv::exp(src1_roi, dst1_roi); |
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cv::ocl::exp(gsrc1_roi, gdst1_roi); |
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Near(2); |
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} |
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} |
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//////////////////////////////// Log ///////////////////////////////////////////////// |
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typedef ArithmTestBase Log; |
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OCL_TEST_P(Log, Mat) |
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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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cv::log(src1_roi, dst1_roi); |
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cv::ocl::log(gsrc1_roi, gdst1_roi); |
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Near(1); |
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} |
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} |
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//////////////////////////////// Add ///////////////////////////////////////////////// |
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typedef ArithmTestBase Add; |
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OCL_TEST_P(Add, Mat) |
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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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cv::add(src1_roi, src2_roi, dst1_roi); |
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cv::ocl::add(gsrc1_roi, gsrc2_roi, gdst1_roi); |
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Near(0); |
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} |
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} |
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OCL_TEST_P(Add, Mat_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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cv::add(src1_roi, src2_roi, dst1_roi, mask_roi); |
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cv::ocl::add(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi); |
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Near(0); |
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} |
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} |
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OCL_TEST_P(Add, Scalar) |
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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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cv::add(src1_roi, val, dst1_roi); |
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cv::ocl::add(gsrc1_roi, val, gdst1_roi); |
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Near(1e-5); |
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} |
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} |
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OCL_TEST_P(Add, Scalar_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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cv::add(src1_roi, val, dst1_roi, mask_roi); |
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cv::ocl::add(gsrc1_roi, val, gdst1_roi, gmask_roi); |
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Near(1e-5); |
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} |
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} |
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//////////////////////////////// Sub ///////////////////////////////////////////////// |
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typedef ArithmTestBase Sub; |
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OCL_TEST_P(Sub, Mat) |
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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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cv::subtract(src1_roi, src2_roi, dst1_roi); |
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cv::ocl::subtract(gsrc1_roi, gsrc2_roi, gdst1_roi); |
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Near(0); |
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} |
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} |
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OCL_TEST_P(Sub, Mat_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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cv::subtract(src1_roi, src2_roi, dst1_roi, mask_roi); |
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cv::ocl::subtract(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi); |
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Near(0); |
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} |
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} |
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OCL_TEST_P(Sub, Scalar) |
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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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cv::subtract(src1_roi, val, dst1_roi); |
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cv::ocl::subtract(gsrc1_roi, val, gdst1_roi); |
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Near(1e-5); |
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} |
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} |
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OCL_TEST_P(Sub, Scalar_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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cv::subtract(src1_roi, val, dst1_roi, mask_roi); |
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cv::ocl::subtract(gsrc1_roi, val, gdst1_roi, gmask_roi); |
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Near(1e-5); |
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} |
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} |
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//////////////////////////////// Mul ///////////////////////////////////////////////// |
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typedef ArithmTestBase Mul; |
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OCL_TEST_P(Mul, Mat) |
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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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cv::multiply(src1_roi, src2_roi, dst1_roi); |
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cv::ocl::multiply(gsrc1_roi, gsrc2_roi, gdst1_roi); |
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Near(0); |
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} |
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} |
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OCL_TEST_P(Mul, Scalar) |
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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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cv::multiply(Scalar::all(val[0]), src1_roi, dst1_roi); |
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cv::ocl::multiply(val[0], gsrc1_roi, gdst1_roi); |
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Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1); |
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} |
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} |
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OCL_TEST_P(Mul, Mat_Scalar) |
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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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cv::multiply(src1_roi, src2_roi, dst1_roi, val[0]); |
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cv::ocl::multiply(gsrc1_roi, gsrc2_roi, gdst1_roi, val[0]); |
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Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1); |
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} |
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} |
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//////////////////////////////// Div ///////////////////////////////////////////////// |
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typedef ArithmTestBase Div; |
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OCL_TEST_P(Div, Mat) |
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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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cv::divide(src1_roi, src2_roi, dst1_roi); |
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cv::ocl::divide(gsrc1_roi, gsrc2_roi, gdst1_roi); |
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Near(1); |
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} |
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} |
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OCL_TEST_P(Div, Scalar) |
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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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cv::divide(val[0], src1_roi, dst1_roi); |
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cv::ocl::divide(val[0], gsrc1_roi, gdst1_roi); |
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Near(gdst1_roi.depth() >= CV_32F ? 1e-3 : 1); |
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} |
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} |
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OCL_TEST_P(Div, Mat_Scalar) |
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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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cv::divide(src1_roi, src2_roi, dst1_roi, val[0]); |
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cv::ocl::divide(gsrc1_roi, gsrc2_roi, gdst1_roi, val[0]); |
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Near(gdst1_roi.depth() >= CV_32F ? 4e-3 : 1); |
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} |
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} |
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//////////////////////////////// Absdiff ///////////////////////////////////////////////// |
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typedef ArithmTestBase Min; |
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OCL_TEST_P(Min, Mat) |
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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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dst1_roi = cv::min(src1_roi, src2_roi); |
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cv::ocl::min(gsrc1_roi, gsrc2_roi, gdst1_roi); |
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Near(0); |
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} |
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} |
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typedef ArithmTestBase Max; |
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OCL_TEST_P(Max, Mat) |
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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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dst1_roi = cv::min(src1_roi, src2_roi); |
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cv::ocl::min(gsrc1_roi, gsrc2_roi, gdst1_roi); |
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Near(0); |
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} |
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} |
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//////////////////////////////// Abs ///////////////////////////////////////////////////// |
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typedef ArithmTestBase Abs; |
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OCL_TEST_P(Abs, Abs) |
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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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dst1_roi = cv::abs(src1_roi); |
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cv::ocl::abs(gsrc1_roi, gdst1_roi); |
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Near(0); |
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} |
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} |
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//////////////////////////////// Absdiff ///////////////////////////////////////////////// |
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typedef ArithmTestBase Absdiff; |
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OCL_TEST_P(Absdiff, Mat) |
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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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cv::absdiff(src1_roi, src2_roi, dst1_roi); |
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cv::ocl::absdiff(gsrc1_roi, gsrc2_roi, gdst1_roi); |
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Near(0); |
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} |
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} |
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OCL_TEST_P(Absdiff, Scalar) |
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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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cv::absdiff(src1_roi, val, dst1_roi); |
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cv::ocl::absdiff(gsrc1_roi, val, gdst1_roi); |
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Near(1e-5); |
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} |
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} |
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//////////////////////////////// CartToPolar ///////////////////////////////////////////////// |
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typedef ArithmTestBase CartToPolar; |
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OCL_TEST_P(CartToPolar, angleInDegree) |
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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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cv::cartToPolar(src1_roi, src2_roi, dst1_roi, dst2_roi, true); |
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cv::ocl::cartToPolar(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi, true); |
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Near(.5); |
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Near1(.5); |
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} |
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} |
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OCL_TEST_P(CartToPolar, angleInRadians) |
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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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cv::cartToPolar(src1_roi, src2_roi, dst1_roi, dst2_roi); |
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cv::ocl::cartToPolar(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi); |
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Near(.5); |
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Near1(.5); |
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} |
|
} |
|
|
|
//////////////////////////////// PolarToCart ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase PolarToCart; |
|
|
|
OCL_TEST_P(PolarToCart, angleInDegree) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::polarToCart(src1_roi, src2_roi, dst1_roi, dst2_roi, true); |
|
cv::ocl::polarToCart(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi, true); |
|
|
|
Near(.5); |
|
Near1(.5); |
|
} |
|
} |
|
|
|
OCL_TEST_P(PolarToCart, angleInRadians) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::polarToCart(src1_roi, src2_roi, dst1_roi, dst2_roi); |
|
cv::ocl::polarToCart(gsrc1_roi, gsrc2_roi, gdst1_roi, gdst2_roi); |
|
|
|
Near(.5); |
|
Near1(.5); |
|
} |
|
} |
|
|
|
//////////////////////////////// Magnitude ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase Magnitude; |
|
|
|
OCL_TEST_P(Magnitude, Mat) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::magnitude(src1_roi, src2_roi, dst1_roi); |
|
cv::ocl::magnitude(gsrc1_roi, gsrc2_roi, gdst1_roi); |
|
Near(depth == CV_64F ? 1e-5 : 1e-2); |
|
} |
|
} |
|
|
|
//////////////////////////////// Transpose ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase Transpose; |
|
|
|
OCL_TEST_P(Transpose, Mat) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::transpose(src1_roi, dst1_roi); |
|
cv::ocl::transpose(gsrc1_roi, gdst1_roi); |
|
|
|
Near(1e-5); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Transpose, SquareInplace) |
|
{ |
|
const int type = CV_MAKE_TYPE(depth, cn); |
|
|
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
Size roiSize = randomSize(1, MAX_VALUE); |
|
roiSize.height = roiSize.width; // make it square |
|
|
|
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
|
randomSubMat(src1, src1_roi, roiSize, srcBorder, type, 5, 16); |
|
|
|
generateOclMat(gsrc1_whole, gsrc1_roi, src1, roiSize, srcBorder); |
|
|
|
cv::transpose(src1_roi, src1_roi); |
|
cv::ocl::transpose(gsrc1_roi, gsrc1_roi); |
|
|
|
EXPECT_MAT_NEAR(src1, Mat(gsrc1_whole), 0.0); |
|
EXPECT_MAT_NEAR(src1_roi, Mat(gsrc1_roi), 0.0); |
|
} |
|
} |
|
|
|
//////////////////////////////// Flip ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase Flip; |
|
|
|
OCL_TEST_P(Flip, X) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::flip(src1_roi, dst1_roi, 0); |
|
cv::ocl::flip(gsrc1_roi, gdst1_roi, 0); |
|
Near(1e-5); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Flip, Y) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::flip(src1_roi, dst1_roi, 1); |
|
cv::ocl::flip(gsrc1_roi, gdst1_roi, 1); |
|
Near(1e-5); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Flip, BOTH) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::flip(src1_roi, dst1_roi, -1); |
|
cv::ocl::flip(gsrc1_roi, gdst1_roi, -1); |
|
Near(1e-5); |
|
} |
|
} |
|
|
|
//////////////////////////////// MinMax ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase MinMax; |
|
|
|
OCL_TEST_P(MinMax, MAT) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
double minVal, maxVal; |
|
|
|
if (src1.depth() != CV_8S) |
|
cv::minMaxIdx(src1_roi, &minVal, &maxVal, NULL, NULL); |
|
else |
|
{ |
|
minVal = std::numeric_limits<double>::max(); |
|
maxVal = -std::numeric_limits<double>::max(); |
|
for (int i = 0; i < src1_roi.rows; ++i) |
|
for (int j = 0; j < src1_roi.cols; ++j) |
|
{ |
|
signed char val = src1_roi.at<signed char>(i, j); |
|
if (val < minVal) minVal = val; |
|
if (val > maxVal) maxVal = val; |
|
} |
|
} |
|
|
|
double minVal_, maxVal_; |
|
cv::ocl::minMax(gsrc1_roi, &minVal_, &maxVal_); |
|
|
|
EXPECT_DOUBLE_EQ(minVal_, minVal); |
|
EXPECT_DOUBLE_EQ(maxVal_, maxVal); |
|
} |
|
} |
|
|
|
OCL_TEST_P(MinMax, MASK) |
|
{ |
|
enum { MAX_IDX = 0, MIN_IDX }; |
|
static const double minMaxGolds[2][7] = |
|
{ |
|
{ std::numeric_limits<uchar>::min(), std::numeric_limits<char>::min(), std::numeric_limits<ushort>::min(), |
|
std::numeric_limits<short>::min(), std::numeric_limits<int>::min(), -std::numeric_limits<float>::max(), -std::numeric_limits<double>::max() }, |
|
{ std::numeric_limits<uchar>::max(), std::numeric_limits<char>::max(), std::numeric_limits<ushort>::max(), |
|
std::numeric_limits<short>::max(), std::numeric_limits<int>::max(), std::numeric_limits<float>::max(), std::numeric_limits<double>::max() }, |
|
}; |
|
|
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
double minVal, maxVal; |
|
cv::Point minLoc, maxLoc; |
|
|
|
if (src1.depth() != CV_8S) |
|
cv::minMaxLoc(src1_roi, &minVal, &maxVal, &minLoc, &maxLoc, mask_roi); |
|
else |
|
{ |
|
minVal = std::numeric_limits<double>::max(); |
|
maxVal = -std::numeric_limits<double>::max(); |
|
for (int i = 0; i < src1_roi.rows; ++i) |
|
for (int j = 0; j < src1_roi.cols; ++j) |
|
{ |
|
signed char val = src1_roi.at<signed char>(i, j); |
|
unsigned char m = mask_roi.at<unsigned char>(i, j); |
|
if (val < minVal && m) minVal = val; |
|
if (val > maxVal && m) maxVal = val; |
|
} |
|
} |
|
|
|
double minVal_, maxVal_; |
|
cv::ocl::minMax(gsrc1_roi, &minVal_, &maxVal_, gmask_roi); |
|
|
|
if (cv::countNonZero(mask_roi) == 0) |
|
{ |
|
EXPECT_DOUBLE_EQ(minMaxGolds[MIN_IDX][depth], minVal_); |
|
EXPECT_DOUBLE_EQ(minMaxGolds[MAX_IDX][depth], maxVal_); |
|
} |
|
else |
|
{ |
|
EXPECT_DOUBLE_EQ(minVal, minVal_); |
|
EXPECT_DOUBLE_EQ(maxVal, maxVal_); |
|
} |
|
} |
|
} |
|
|
|
//////////////////////////////// MinMaxLoc ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase MinMaxLoc; |
|
|
|
OCL_TEST_P(MinMaxLoc, MAT) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
double minVal, maxVal; |
|
cv::Point minLoc, maxLoc; |
|
int depth = src1.depth(); |
|
|
|
if (depth != CV_8S) |
|
cv::minMaxLoc(src1_roi, &minVal, &maxVal, &minLoc, &maxLoc); |
|
else |
|
{ |
|
minVal = std::numeric_limits<double>::max(); |
|
maxVal = -std::numeric_limits<double>::max(); |
|
for (int i = 0; i < src1_roi.rows; ++i) |
|
for (int j = 0; j < src1_roi.cols; ++j) |
|
{ |
|
signed char val = src1_roi.at<signed char>(i, j); |
|
if (val < minVal) |
|
{ |
|
minVal = val; |
|
minLoc.x = j; |
|
minLoc.y = i; |
|
} |
|
if (val > maxVal) |
|
{ |
|
maxVal = val; |
|
maxLoc.x = j; |
|
maxLoc.y = i; |
|
} |
|
} |
|
} |
|
|
|
double minVal_, maxVal_; |
|
cv::Point minLoc_, maxLoc_; |
|
cv::ocl::minMaxLoc(gsrc1_roi, &minVal_, &maxVal_, &minLoc_, &maxLoc_, cv::ocl::oclMat()); |
|
|
|
double error0 = 0., error1 = 0., minlocVal = 0., minlocVal_ = 0., maxlocVal = 0., maxlocVal_ = 0.; |
|
if (depth == 0) |
|
{ |
|
minlocVal = src1_roi.at<unsigned char>(minLoc); |
|
minlocVal_ = src1_roi.at<unsigned char>(minLoc_); |
|
maxlocVal = src1_roi.at<unsigned char>(maxLoc); |
|
maxlocVal_ = src1_roi.at<unsigned char>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<unsigned char>(minLoc_) - src1_roi.at<unsigned char>(minLoc)); |
|
error1 = ::abs(src1_roi.at<unsigned char>(maxLoc_) - src1_roi.at<unsigned char>(maxLoc)); |
|
} |
|
if (depth == 1) |
|
{ |
|
minlocVal = src1_roi.at<signed char>(minLoc); |
|
minlocVal_ = src1_roi.at<signed char>(minLoc_); |
|
maxlocVal = src1_roi.at<signed char>(maxLoc); |
|
maxlocVal_ = src1_roi.at<signed char>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<signed char>(minLoc_) - src1_roi.at<signed char>(minLoc)); |
|
error1 = ::abs(src1_roi.at<signed char>(maxLoc_) - src1_roi.at<signed char>(maxLoc)); |
|
} |
|
if (depth == 2) |
|
{ |
|
minlocVal = src1_roi.at<unsigned short>(minLoc); |
|
minlocVal_ = src1_roi.at<unsigned short>(minLoc_); |
|
maxlocVal = src1_roi.at<unsigned short>(maxLoc); |
|
maxlocVal_ = src1_roi.at<unsigned short>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<unsigned short>(minLoc_) - src1_roi.at<unsigned short>(minLoc)); |
|
error1 = ::abs(src1_roi.at<unsigned short>(maxLoc_) - src1_roi.at<unsigned short>(maxLoc)); |
|
} |
|
if (depth == 3) |
|
{ |
|
minlocVal = src1_roi.at<signed short>(minLoc); |
|
minlocVal_ = src1_roi.at<signed short>(minLoc_); |
|
maxlocVal = src1_roi.at<signed short>(maxLoc); |
|
maxlocVal_ = src1_roi.at<signed short>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<signed short>(minLoc_) - src1_roi.at<signed short>(minLoc)); |
|
error1 = ::abs(src1_roi.at<signed short>(maxLoc_) - src1_roi.at<signed short>(maxLoc)); |
|
} |
|
if (depth == 4) |
|
{ |
|
minlocVal = src1_roi.at<int>(minLoc); |
|
minlocVal_ = src1_roi.at<int>(minLoc_); |
|
maxlocVal = src1_roi.at<int>(maxLoc); |
|
maxlocVal_ = src1_roi.at<int>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<int>(minLoc_) - src1_roi.at<int>(minLoc)); |
|
error1 = ::abs(src1_roi.at<int>(maxLoc_) - src1_roi.at<int>(maxLoc)); |
|
} |
|
if (depth == 5) |
|
{ |
|
minlocVal = src1_roi.at<float>(minLoc); |
|
minlocVal_ = src1_roi.at<float>(minLoc_); |
|
maxlocVal = src1_roi.at<float>(maxLoc); |
|
maxlocVal_ = src1_roi.at<float>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<float>(minLoc_) - src1_roi.at<float>(minLoc)); |
|
error1 = ::abs(src1_roi.at<float>(maxLoc_) - src1_roi.at<float>(maxLoc)); |
|
} |
|
if (depth == 6) |
|
{ |
|
minlocVal = src1_roi.at<double>(minLoc); |
|
minlocVal_ = src1_roi.at<double>(minLoc_); |
|
maxlocVal = src1_roi.at<double>(maxLoc); |
|
maxlocVal_ = src1_roi.at<double>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<double>(minLoc_) - src1_roi.at<double>(minLoc)); |
|
error1 = ::abs(src1_roi.at<double>(maxLoc_) - src1_roi.at<double>(maxLoc)); |
|
} |
|
|
|
EXPECT_DOUBLE_EQ(minVal_, minVal); |
|
EXPECT_DOUBLE_EQ(maxVal_, maxVal); |
|
EXPECT_DOUBLE_EQ(minlocVal_, minlocVal); |
|
EXPECT_DOUBLE_EQ(maxlocVal_, maxlocVal); |
|
|
|
EXPECT_DOUBLE_EQ(error0, 0.0); |
|
EXPECT_DOUBLE_EQ(error1, 0.0); |
|
} |
|
} |
|
|
|
OCL_TEST_P(MinMaxLoc, MASK) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
double minVal, maxVal; |
|
cv::Point minLoc, maxLoc; |
|
int depth = src1.depth(); |
|
if (depth != CV_8S) |
|
cv::minMaxLoc(src1_roi, &minVal, &maxVal, &minLoc, &maxLoc, mask_roi); |
|
else |
|
{ |
|
minVal = std::numeric_limits<double>::max(); |
|
maxVal = -std::numeric_limits<double>::max(); |
|
for (int i = 0; i < src1_roi.rows; ++i) |
|
for (int j = 0; j < src1_roi.cols; ++j) |
|
{ |
|
signed char val = src1_roi.at<signed char>(i, j); |
|
unsigned char m = mask_roi.at<unsigned char>(i , j); |
|
if (val < minVal && m) |
|
{ |
|
minVal = val; |
|
minLoc.x = j; |
|
minLoc.y = i; |
|
} |
|
if (val > maxVal && m) |
|
{ |
|
maxVal = val; |
|
maxLoc.x = j; |
|
maxLoc.y = i; |
|
} |
|
} |
|
} |
|
|
|
double minVal_, maxVal_; |
|
cv::Point minLoc_, maxLoc_; |
|
cv::ocl::minMaxLoc(gsrc1_roi, &minVal_, &maxVal_, &minLoc_, &maxLoc_, gmask_roi); |
|
|
|
double error0 = 0., error1 = 0., minlocVal = 0., minlocVal_ = 0., maxlocVal = 0., maxlocVal_ = 0.; |
|
if (minLoc_.x == -1 || minLoc_.y == -1 || maxLoc_.x == -1 || maxLoc_.y == -1) continue; |
|
if (depth == 0) |
|
{ |
|
minlocVal = src1_roi.at<unsigned char>(minLoc); |
|
minlocVal_ = src1_roi.at<unsigned char>(minLoc_); |
|
maxlocVal = src1_roi.at<unsigned char>(maxLoc); |
|
maxlocVal_ = src1_roi.at<unsigned char>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<unsigned char>(minLoc_) - src1_roi.at<unsigned char>(minLoc)); |
|
error1 = ::abs(src1_roi.at<unsigned char>(maxLoc_) - src1_roi.at<unsigned char>(maxLoc)); |
|
} |
|
if (depth == 1) |
|
{ |
|
minlocVal = src1_roi.at<signed char>(minLoc); |
|
minlocVal_ = src1_roi.at<signed char>(minLoc_); |
|
maxlocVal = src1_roi.at<signed char>(maxLoc); |
|
maxlocVal_ = src1_roi.at<signed char>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<signed char>(minLoc_) - src1_roi.at<signed char>(minLoc)); |
|
error1 = ::abs(src1_roi.at<signed char>(maxLoc_) - src1_roi.at<signed char>(maxLoc)); |
|
} |
|
if (depth == 2) |
|
{ |
|
minlocVal = src1_roi.at<unsigned short>(minLoc); |
|
minlocVal_ = src1_roi.at<unsigned short>(minLoc_); |
|
maxlocVal = src1_roi.at<unsigned short>(maxLoc); |
|
maxlocVal_ = src1_roi.at<unsigned short>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<unsigned short>(minLoc_) - src1_roi.at<unsigned short>(minLoc)); |
|
error1 = ::abs(src1_roi.at<unsigned short>(maxLoc_) - src1_roi.at<unsigned short>(maxLoc)); |
|
} |
|
if (depth == 3) |
|
{ |
|
minlocVal = src1_roi.at<signed short>(minLoc); |
|
minlocVal_ = src1_roi.at<signed short>(minLoc_); |
|
maxlocVal = src1_roi.at<signed short>(maxLoc); |
|
maxlocVal_ = src1_roi.at<signed short>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<signed short>(minLoc_) - src1_roi.at<signed short>(minLoc)); |
|
error1 = ::abs(src1_roi.at<signed short>(maxLoc_) - src1_roi.at<signed short>(maxLoc)); |
|
} |
|
if (depth == 4) |
|
{ |
|
minlocVal = src1_roi.at<int>(minLoc); |
|
minlocVal_ = src1_roi.at<int>(minLoc_); |
|
maxlocVal = src1_roi.at<int>(maxLoc); |
|
maxlocVal_ = src1_roi.at<int>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<int>(minLoc_) - src1_roi.at<int>(minLoc)); |
|
error1 = ::abs(src1_roi.at<int>(maxLoc_) - src1_roi.at<int>(maxLoc)); |
|
} |
|
if (depth == 5) |
|
{ |
|
minlocVal = src1_roi.at<float>(minLoc); |
|
minlocVal_ = src1_roi.at<float>(minLoc_); |
|
maxlocVal = src1_roi.at<float>(maxLoc); |
|
maxlocVal_ = src1_roi.at<float>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<float>(minLoc_) - src1_roi.at<float>(minLoc)); |
|
error1 = ::abs(src1_roi.at<float>(maxLoc_) - src1_roi.at<float>(maxLoc)); |
|
} |
|
if (depth == 6) |
|
{ |
|
minlocVal = src1_roi.at<double>(minLoc); |
|
minlocVal_ = src1_roi.at<double>(minLoc_); |
|
maxlocVal = src1_roi.at<double>(maxLoc); |
|
maxlocVal_ = src1_roi.at<double>(maxLoc_); |
|
error0 = ::abs(src1_roi.at<double>(minLoc_) - src1_roi.at<double>(minLoc)); |
|
error1 = ::abs(src1_roi.at<double>(maxLoc_) - src1_roi.at<double>(maxLoc)); |
|
} |
|
|
|
EXPECT_DOUBLE_EQ(minVal_, minVal); |
|
EXPECT_DOUBLE_EQ(maxVal_, maxVal); |
|
EXPECT_DOUBLE_EQ(minlocVal_, minlocVal); |
|
EXPECT_DOUBLE_EQ(maxlocVal_, maxlocVal); |
|
|
|
EXPECT_DOUBLE_EQ(error0, 0.0); |
|
EXPECT_DOUBLE_EQ(error1, 0.0); |
|
} |
|
} |
|
|
|
//////////////////////////////// Sum ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase Sum; |
|
|
|
OCL_TEST_P(Sum, MAT) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
Scalar cpures = cv::sum(src1_roi); |
|
Scalar gpures = cv::ocl::sum(gsrc1_roi); |
|
|
|
// check results |
|
EXPECT_NEAR(cpures[0], gpures[0], 0.1); |
|
EXPECT_NEAR(cpures[1], gpures[1], 0.1); |
|
EXPECT_NEAR(cpures[2], gpures[2], 0.1); |
|
EXPECT_NEAR(cpures[3], gpures[3], 0.1); |
|
} |
|
} |
|
|
|
typedef ArithmTestBase SqrSum; |
|
|
|
template <typename T, typename WT> |
|
static Scalar sqrSum(const Mat & src) |
|
{ |
|
Scalar sum = Scalar::all(0); |
|
int cn = src.channels(); |
|
WT data[4] = { 0, 0, 0, 0 }; |
|
|
|
int cols = src.cols * cn; |
|
for (int y = 0; y < src.rows; ++y) |
|
{ |
|
const T * const sdata = src.ptr<T>(y); |
|
for (int x = 0; x < cols; ) |
|
for (int i = 0; i < cn; ++i, ++x) |
|
{ |
|
WT t = static_cast<WT>(sdata[x]); |
|
data[i] += t * t; |
|
} |
|
} |
|
|
|
for (int i = 0; i < cn; ++i) |
|
sum[i] = static_cast<double>(data[i]); |
|
|
|
return sum; |
|
} |
|
|
|
typedef Scalar (*sumFunc)(const Mat &); |
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|
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OCL_TEST_P(SqrSum, MAT) |
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{ |
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for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
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random_roi(); |
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|
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static sumFunc funcs[] = { sqrSum<uchar, int>, |
|
sqrSum<char, int>, |
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sqrSum<ushort, int>, |
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sqrSum<short, int>, |
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sqrSum<int, int>, |
|
sqrSum<float, double>, |
|
sqrSum<double, double>, |
|
0 }; |
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|
|
sumFunc func = funcs[src1_roi.depth()]; |
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CV_Assert(func != 0); |
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|
|
Scalar cpures = func(src1_roi); |
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Scalar gpures = cv::ocl::sqrSum(gsrc1_roi); |
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|
|
// check results |
|
EXPECT_NEAR(cpures[0], gpures[0], 1.0); |
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EXPECT_NEAR(cpures[1], gpures[1], 1.0); |
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EXPECT_NEAR(cpures[2], gpures[2], 1.0); |
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EXPECT_NEAR(cpures[3], gpures[3], 1.0); |
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} |
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} |
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|
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typedef ArithmTestBase AbsSum; |
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|
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template <typename T, typename WT> |
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static Scalar absSum(const Mat & src) |
|
{ |
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Scalar sum = Scalar::all(0); |
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int cn = src.channels(); |
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WT data[4] = { 0, 0, 0, 0 }; |
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|
|
int cols = src.cols * cn; |
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for (int y = 0; y < src.rows; ++y) |
|
{ |
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const T * const sdata = src.ptr<T>(y); |
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for (int x = 0; x < cols; ) |
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for (int i = 0; i < cn; ++i, ++x) |
|
{ |
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WT t = static_cast<WT>(sdata[x]); |
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data[i] += t >= 0 ? t : -t; |
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} |
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} |
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|
|
for (int i = 0; i < cn; ++i) |
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sum[i] = static_cast<double>(data[i]); |
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|
|
return sum; |
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} |
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|
|
OCL_TEST_P(AbsSum, MAT) |
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{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
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{ |
|
random_roi(); |
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|
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static sumFunc funcs[] = { absSum<uchar, int>, |
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absSum<char, int>, |
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absSum<ushort, int>, |
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absSum<short, int>, |
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absSum<int, int>, |
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absSum<float, double>, |
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absSum<double, double>, |
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0 }; |
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|
|
sumFunc func = funcs[src1_roi.depth()]; |
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CV_Assert(func != 0); |
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|
|
Scalar cpures = func(src1_roi); |
|
Scalar gpures = cv::ocl::absSum(gsrc1_roi); |
|
|
|
// check results |
|
EXPECT_NEAR(cpures[0], gpures[0], 0.1); |
|
EXPECT_NEAR(cpures[1], gpures[1], 0.1); |
|
EXPECT_NEAR(cpures[2], gpures[2], 0.1); |
|
EXPECT_NEAR(cpures[3], gpures[3], 0.1); |
|
} |
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} |
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|
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//////////////////////////////// CountNonZero ///////////////////////////////////////////////// |
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|
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typedef ArithmTestBase CountNonZero; |
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|
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OCL_TEST_P(CountNonZero, MAT) |
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{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
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{ |
|
random_roi(); |
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int cpures = cv::countNonZero(src1_roi); |
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int gpures = cv::ocl::countNonZero(gsrc1_roi); |
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|
|
EXPECT_EQ(cpures, gpures); |
|
} |
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} |
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|
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//////////////////////////////// Phase ///////////////////////////////////////////////// |
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|
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typedef ArithmTestBase Phase; |
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|
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OCL_TEST_P(Phase, angleInDegrees) |
|
{ |
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for (int j = 0; j < LOOP_TIMES; j++) |
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{ |
|
random_roi(); |
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cv::phase(src1_roi, src2_roi, dst1_roi, true); |
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cv::ocl::phase(gsrc1_roi, gsrc2_roi, gdst1_roi, true); |
|
|
|
Near(1e-2); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Phase, angleInRadians) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
cv::phase(src1_roi, src2_roi, dst1_roi); |
|
cv::ocl::phase(gsrc1_roi, gsrc2_roi, gdst1_roi); |
|
|
|
Near(1e-2); |
|
} |
|
} |
|
|
|
//////////////////////////////// Bitwise_and ///////////////////////////////////////////////// |
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|
|
typedef ArithmTestBase Bitwise_and; |
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|
|
OCL_TEST_P(Bitwise_and, Mat) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_and(src1_roi, src2_roi, dst1_roi); |
|
cv::ocl::bitwise_and(gsrc1_roi, gsrc2_roi, gdst1_roi); |
|
Near(0); |
|
} |
|
} |
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|
|
OCL_TEST_P(Bitwise_and, Mat_Mask) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_and(src1_roi, src2_roi, dst1_roi, mask_roi); |
|
cv::ocl::bitwise_and(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi); |
|
Near(0); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Bitwise_and, Scalar) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_and(src1_roi, val, dst1_roi); |
|
cv::ocl::bitwise_and(gsrc1_roi, val, gdst1_roi); |
|
Near(1e-5); |
|
} |
|
} |
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|
|
OCL_TEST_P(Bitwise_and, Scalar_Mask) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
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|
|
cv::bitwise_and(src1_roi, val, dst1_roi, mask_roi); |
|
cv::ocl::bitwise_and(gsrc1_roi, val, gdst1_roi, gmask_roi); |
|
Near(1e-5); |
|
} |
|
} |
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|
|
//////////////////////////////// Bitwise_or ///////////////////////////////////////////////// |
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|
|
typedef ArithmTestBase Bitwise_or; |
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|
|
OCL_TEST_P(Bitwise_or, Mat) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
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|
|
cv::bitwise_or(src1_roi, src2_roi, dst1_roi); |
|
cv::ocl::bitwise_or(gsrc1_roi, gsrc2_roi, gdst1_roi); |
|
Near(0); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Bitwise_or, Mat_Mask) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_or(src1_roi, src2_roi, dst1_roi, mask_roi); |
|
cv::ocl::bitwise_or(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi); |
|
Near(0); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Bitwise_or, Scalar) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_or(src1_roi, val, dst1_roi); |
|
cv::ocl::bitwise_or(gsrc1_roi, val, gdst1_roi); |
|
Near(1e-5); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Bitwise_or, Scalar_Mask) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_or(src1_roi, val, dst1_roi, mask_roi); |
|
cv::ocl::bitwise_or(gsrc1_roi, val, gdst1_roi, gmask_roi); |
|
Near(1e-5); |
|
} |
|
} |
|
|
|
//////////////////////////////// Bitwise_xor ///////////////////////////////////////////////// |
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|
|
typedef ArithmTestBase Bitwise_xor; |
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|
|
OCL_TEST_P(Bitwise_xor, Mat) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_xor(src1_roi, src2_roi, dst1_roi); |
|
cv::ocl::bitwise_xor(gsrc1_roi, gsrc2_roi, gdst1_roi); |
|
Near(0); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Bitwise_xor, Mat_Mask) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_xor(src1_roi, src2_roi, dst1_roi, mask_roi); |
|
cv::ocl::bitwise_xor(gsrc1_roi, gsrc2_roi, gdst1_roi, gmask_roi); |
|
Near(0); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Bitwise_xor, Scalar) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_xor(src1_roi, val, dst1_roi); |
|
cv::ocl::bitwise_xor(gsrc1_roi, val, gdst1_roi); |
|
Near(1e-5); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Bitwise_xor, Scalar_Mask) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_xor(src1_roi, val, dst1_roi, mask_roi); |
|
cv::ocl::bitwise_xor(gsrc1_roi, val, gdst1_roi, gmask_roi); |
|
Near(1e-5); |
|
} |
|
} |
|
|
|
//////////////////////////////// Bitwise_not ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase Bitwise_not; |
|
|
|
OCL_TEST_P(Bitwise_not, Mat) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::bitwise_not(src1_roi, dst1_roi); |
|
cv::ocl::bitwise_not(gsrc1_roi, gdst1_roi); |
|
Near(0); |
|
} |
|
} |
|
|
|
//////////////////////////////// Compare ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase Compare; |
|
|
|
OCL_TEST_P(Compare, Mat) |
|
{ |
|
int cmp_codes[] = { CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE }; |
|
int cmp_num = sizeof(cmp_codes) / sizeof(int); |
|
|
|
for (int i = 0; i < cmp_num; ++i) |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::compare(src1_roi, src2_roi, dst1_roi, cmp_codes[i]); |
|
cv::ocl::compare(gsrc1_roi, gsrc2_roi, gdst1_roi, cmp_codes[i]); |
|
|
|
Near(0); |
|
} |
|
} |
|
|
|
//////////////////////////////// Pow ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase Pow; |
|
|
|
OCL_TEST_P(Pow, Mat) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
double p = 4.5; |
|
cv::pow(src1_roi, p, dst1_roi); |
|
cv::ocl::pow(gsrc1_roi, p, gdst1_roi); |
|
Near(1); |
|
} |
|
} |
|
|
|
//////////////////////////////// AddWeighted ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase AddWeighted; |
|
|
|
OCL_TEST_P(AddWeighted, Mat) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
const double alpha = 2.0, beta = 1.0, gama = 3.0; |
|
|
|
cv::addWeighted(src1_roi, alpha, src2_roi, beta, gama, dst1_roi); |
|
cv::ocl::addWeighted(gsrc1_roi, alpha, gsrc2_roi, beta, gama, gdst1_roi); |
|
|
|
Near(3e-4); |
|
} |
|
} |
|
|
|
//////////////////////////////// setIdentity ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase SetIdentity; |
|
|
|
OCL_TEST_P(SetIdentity, Mat) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
cv::setIdentity(dst1_roi, val); |
|
cv::ocl::setIdentity(gdst1_roi, val); |
|
|
|
Near(0); |
|
} |
|
} |
|
|
|
//////////////////////////////// meanStdDev ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase MeanStdDev; |
|
|
|
OCL_TEST_P(MeanStdDev, Mat) |
|
{ |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
Scalar cpu_mean, cpu_stddev; |
|
Scalar gpu_mean, gpu_stddev; |
|
|
|
cv::meanStdDev(src1_roi, cpu_mean, cpu_stddev); |
|
cv::ocl::meanStdDev(gsrc1_roi, gpu_mean, gpu_stddev); |
|
|
|
for (int i = 0; i < 4; ++i) |
|
{ |
|
EXPECT_NEAR(cpu_mean[i], gpu_mean[i], 0.1); |
|
EXPECT_NEAR(cpu_stddev[i], gpu_stddev[i], 0.1); |
|
} |
|
} |
|
} |
|
|
|
//////////////////////////////// Norm ///////////////////////////////////////////////// |
|
|
|
typedef ArithmTestBase Norm; |
|
|
|
OCL_TEST_P(Norm, NORM_INF) |
|
{ |
|
for (int relative = 0; relative < 2; ++relative) |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
int type = NORM_INF; |
|
if (relative == 1) |
|
type |= NORM_RELATIVE; |
|
|
|
const double cpuRes = cv::norm(src1_roi, src2_roi, type); |
|
const double gpuRes = cv::ocl::norm(gsrc1_roi, gsrc2_roi, type); |
|
|
|
EXPECT_NEAR(cpuRes, gpuRes, 0.1); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Norm, NORM_L1) |
|
{ |
|
for (int relative = 0; relative < 2; ++relative) |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
int type = NORM_L1; |
|
if (relative == 1) |
|
type |= NORM_RELATIVE; |
|
|
|
const double cpuRes = cv::norm(src1_roi, src2_roi, type); |
|
const double gpuRes = cv::ocl::norm(gsrc1_roi, gsrc2_roi, type); |
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); |
|
} |
|
} |
|
|
|
OCL_TEST_P(Norm, NORM_L2) |
|
{ |
|
for (int relative = 0; relative < 2; ++relative) |
|
for (int j = 0; j < LOOP_TIMES; j++) |
|
{ |
|
random_roi(); |
|
|
|
int type = NORM_L2; |
|
if (relative == 1) |
|
type |= NORM_RELATIVE; |
|
|
|
const double cpuRes = cv::norm(src1_roi, src2_roi, type); |
|
const double gpuRes = cv::ocl::norm(gsrc1_roi, gsrc2_roi, type); |
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6); |
|
} |
|
} |
|
|
|
//// Repeat |
|
|
|
struct RepeatTestCase : |
|
public ArithmTestBase |
|
{ |
|
int nx, ny; |
|
|
|
virtual void random_roi() |
|
{ |
|
const int type = CV_MAKE_TYPE(depth, cn); |
|
|
|
nx = randomInt(1, 4); |
|
ny = randomInt(1, 4); |
|
|
|
Size srcRoiSize = randomSize(1, MAX_VALUE); |
|
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0); |
|
randomSubMat(src1, src1_roi, srcRoiSize, srcBorder, type, 2, 11); |
|
|
|
Size dstRoiSize(srcRoiSize.width * nx, srcRoiSize.height * ny); |
|
Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0); |
|
randomSubMat(dst1, dst1_roi, dstRoiSize, dst1Border, type, 5, 16); |
|
|
|
generateOclMat(gsrc1_whole, gsrc1_roi, src1, srcRoiSize, srcBorder); |
|
generateOclMat(gdst1_whole, gdst1_roi, dst1, dstRoiSize, dst1Border); |
|
} |
|
}; |
|
|
|
typedef RepeatTestCase Repeat; |
|
|
|
OCL_TEST_P(Repeat, Mat) |
|
{ |
|
for (int i = 0; i < LOOP_TIMES; ++i) |
|
{ |
|
random_roi(); |
|
|
|
cv::repeat(src1_roi, ny, nx, dst1_roi); |
|
cv::ocl::repeat(gsrc1_roi, ny, nx, gdst1_roi); |
|
|
|
Near(); |
|
} |
|
} |
|
|
|
//////////////////////////////////////// Instantiation ///////////////////////////////////////// |
|
|
|
INSTANTIATE_TEST_CASE_P(Arithm, Lut, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool(), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Exp, Combine(testing::Values(CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Log, Combine(testing::Values(CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Add, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Sub, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Mul, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Div, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Min, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Max, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Abs, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Absdiff, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, CartToPolar, Combine(Values(CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, PolarToCart, Combine(Values(CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Magnitude, Combine(Values(CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Transpose, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, Flip, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, MinMax, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(Channels(1)), Bool())); |
|
INSTANTIATE_TEST_CASE_P(Arithm, MinMaxLoc, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(Channels(1)), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, Sum, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, SqrSum, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, AbsSum, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, CountNonZero, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(Channels(1)), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, Phase, Combine(Values(CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_and, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_or, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_xor, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_not, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, Compare, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(Channels(1)), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, Pow, Combine(Values(CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, AddWeighted, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, SetIdentity, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, MeanStdDev, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, Norm, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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INSTANTIATE_TEST_CASE_P(Arithm, Repeat, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool())); |
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#endif // HAVE_OPENCL
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