1891 lines
54 KiB
C++
1891 lines
54 KiB
C++
/*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) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// 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 OpenCV Foundation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "../test_precomp.hpp"
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#include "opencv2/ts/ocl_test.hpp"
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#include <cmath>
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#ifdef HAVE_OPENCL
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namespace cvtest {
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namespace ocl {
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//////////////////////////////// LUT /////////////////////////////////////////////////
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PARAM_TEST_CASE(Lut, MatDepth, MatDepth, Channels, bool, bool)
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{
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int src_depth, lut_depth;
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int cn;
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bool use_roi, same_cn;
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TEST_DECLARE_INPUT_PARAMETER(src);
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TEST_DECLARE_INPUT_PARAMETER(lut);
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TEST_DECLARE_OUTPUT_PARAMETER(dst);
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virtual void SetUp()
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{
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src_depth = GET_PARAM(0);
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lut_depth = GET_PARAM(1);
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cn = GET_PARAM(2);
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same_cn = GET_PARAM(3);
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use_roi = GET_PARAM(4);
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}
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void generateTestData()
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{
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const int src_type = CV_MAKE_TYPE(src_depth, 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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UMAT_UPLOAD_INPUT_PARAMETER(src);
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UMAT_UPLOAD_INPUT_PARAMETER(lut);
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
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}
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void Near(double threshold = 0.)
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{
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OCL_EXPECT_MATS_NEAR(dst, 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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::LUT(src_roi, lut_roi, dst_roi));
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OCL_ON(cv::LUT(usrc_roi, ulut_roi, udst_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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cv::Scalar val_in_range;
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TEST_DECLARE_INPUT_PARAMETER(src1);
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TEST_DECLARE_INPUT_PARAMETER(src2);
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TEST_DECLARE_INPUT_PARAMETER(mask);
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TEST_DECLARE_OUTPUT_PARAMETER(dst1);
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TEST_DECLARE_OUTPUT_PARAMETER(dst2);
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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 generateTestData(bool with_val_in_range = false)
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{
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const int type = CV_MAKE_TYPE(depth, cn);
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double minV = getMinVal(type);
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double maxV = getMaxVal(type);
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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, 2, 11); // FIXIT: Test with minV, maxV
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Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(src2, src2_roi, roiSize, src2Border, type, std::max(-1540., minV), std::min(1740., maxV));
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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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*mask.ptr(0) = 255; // prevent test case with mask filled 0 only
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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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if (with_val_in_range)
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{
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val_in_range = cv::Scalar(rng.uniform(minV, maxV), rng.uniform(minV, maxV),
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rng.uniform(minV, maxV), rng.uniform(minV, maxV));
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}
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UMAT_UPLOAD_INPUT_PARAMETER(src1);
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UMAT_UPLOAD_INPUT_PARAMETER(src2);
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UMAT_UPLOAD_INPUT_PARAMETER(mask);
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst1);
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst2);
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}
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void Near(double threshold = 0., bool relative = false)
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{
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if (!relative)
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OCL_EXPECT_MATS_NEAR(dst1, threshold);
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else
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OCL_EXPECT_MATS_NEAR_RELATIVE(dst1, threshold);
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}
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void Near1(double threshold = 0.)
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{
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OCL_EXPECT_MATS_NEAR(dst2, threshold);
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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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::add(src1_roi, src2_roi, dst1_roi));
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OCL_ON(cv::add(usrc1_roi, usrc2_roi, udst1_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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::add(src1_roi, src2_roi, dst1_roi, mask_roi));
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OCL_ON(cv::add(usrc1_roi, usrc2_roi, udst1_roi, umask_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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::add(src1_roi, val, dst1_roi));
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OCL_ON(cv::add(val, usrc1_roi, udst1_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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::add(src1_roi, val, dst1_roi, mask_roi));
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OCL_ON(cv::add(usrc1_roi, val, udst1_roi, umask_roi));
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Near(1e-5);
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}
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}
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//////////////////////////////////////// Subtract //////////////////////////////////////////////
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typedef ArithmTestBase Subtract;
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OCL_TEST_P(Subtract, Mat)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::subtract(src1_roi, src2_roi, dst1_roi));
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OCL_ON(cv::subtract(usrc1_roi, usrc2_roi, udst1_roi));
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Near(0);
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}
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}
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OCL_TEST_P(Subtract, Mat_Mask)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::subtract(src1_roi, src2_roi, dst1_roi, mask_roi));
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OCL_ON(cv::subtract(usrc1_roi, usrc2_roi, udst1_roi, umask_roi));
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Near(0);
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}
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}
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OCL_TEST_P(Subtract, Scalar)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::subtract(val, src1_roi, dst1_roi));
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OCL_ON(cv::subtract(val, usrc1_roi, udst1_roi));
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Near(1e-5);
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}
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}
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OCL_TEST_P(Subtract, Scalar_Mask)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::subtract(src1_roi, val, dst1_roi, mask_roi));
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OCL_ON(cv::subtract(usrc1_roi, val, udst1_roi, umask_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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::multiply(src1_roi, src2_roi, dst1_roi));
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OCL_ON(cv::multiply(usrc1_roi, usrc2_roi, udst1_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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::multiply(src1_roi, val, dst1_roi));
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OCL_ON(cv::multiply(val, usrc1_roi, udst1_roi));
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Near(udst1_roi.depth() >= CV_32F ? 1e-3 : 1);
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}
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}
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OCL_TEST_P(Mul, Mat_Scale)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::multiply(src1_roi, src2_roi, dst1_roi, val[0]));
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OCL_ON(cv::multiply(usrc1_roi, usrc2_roi, udst1_roi, val[0]));
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#ifdef ANDROID
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Near(udst1_roi.depth() >= CV_32F ? 2e-1 : 1);
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#else
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Near(udst1_roi.depth() >= CV_32F ? 1e-3 : 1);
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#endif
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}
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}
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OCL_TEST_P(Mul, Mat_Scalar_Scale)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::multiply(src1_roi, val, dst1_roi, val[0]));
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OCL_ON(cv::multiply(usrc1_roi, val, udst1_roi, val[0]));
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if (udst1_roi.depth() >= CV_32F)
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Near(1e-6, true);
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else
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Near(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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::divide(src1_roi, src2_roi, dst1_roi));
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OCL_ON(cv::divide(usrc1_roi, usrc2_roi, udst1_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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::divide(val, src1_roi, dst1_roi));
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OCL_ON(cv::divide(val, usrc1_roi, udst1_roi));
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Near(udst1_roi.depth() >= CV_32F ? 1e-3 : 1);
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}
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}
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OCL_TEST_P(Div, Scalar2)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::divide(src1_roi, val, dst1_roi));
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OCL_ON(cv::divide(usrc1_roi, val, udst1_roi));
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Near(udst1_roi.depth() >= CV_32F ? 1e-3 : 1);
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}
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}
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OCL_TEST_P(Div, Mat_Scale)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::divide(src1_roi, src2_roi, dst1_roi, val[0]));
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OCL_ON(cv::divide(usrc1_roi, usrc2_roi, udst1_roi, val[0]));
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Near(udst1_roi.depth() >= CV_32F ? 4e-3 : 1);
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}
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}
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OCL_TEST_P(Div, Mat_Scalar_Scale)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::divide(src1_roi, val, dst1_roi, val[0]));
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OCL_ON(cv::divide(usrc1_roi, val, udst1_roi, val[0]));
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Near(udst1_roi.depth() >= CV_32F ? 4e-3 : 1);
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}
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}
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OCL_TEST_P(Div, Recip)
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{
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for (int j = 0; j < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::divide(val[0], src1_roi, dst1_roi));
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OCL_ON(cv::divide(val[0], usrc1_roi, udst1_roi));
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Near(udst1_roi.depth() >= CV_32F ? 1e-3 : 1);
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}
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}
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//////////////////////////////// Min/Max /////////////////////////////////////////////////
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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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::max(src1_roi, src2_roi, dst1_roi));
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OCL_ON(cv::max(usrc1_roi, usrc2_roi, udst1_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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::min(src1_roi, src2_roi, dst1_roi));
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OCL_ON(cv::min(usrc1_roi, usrc2_roi, udst1_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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::absdiff(src1_roi, src2_roi, dst1_roi));
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OCL_ON(cv::absdiff(usrc1_roi, usrc2_roi, udst1_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 < test_loop_times; j++)
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{
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generateTestData();
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OCL_OFF(cv::absdiff(src1_roi, val, dst1_roi));
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OCL_ON(cv::absdiff(usrc1_roi, val, udst1_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)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::cartToPolar(src1_roi, src2_roi, dst1_roi, dst2_roi, true));
|
|
OCL_ON(cv::cartToPolar(usrc1_roi, usrc2_roi, udst1_roi, udst2_roi, true));
|
|
Near(0.5);
|
|
Near1(0.5);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(CartToPolar, angleInRadians)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::cartToPolar(src1_roi, src2_roi, dst1_roi, dst2_roi));
|
|
OCL_ON(cv::cartToPolar(usrc1_roi, usrc2_roi, udst1_roi, udst2_roi));
|
|
Near(0.5);
|
|
Near1(0.5);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// PolarToCart /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase PolarToCart;
|
|
|
|
OCL_TEST_P(PolarToCart, angleInDegree)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::polarToCart(src1_roi, src2_roi, dst1_roi, dst2_roi, true));
|
|
OCL_ON(cv::polarToCart(usrc1_roi, usrc2_roi, udst1_roi, udst2_roi, true));
|
|
|
|
Near(0.5);
|
|
Near1(0.5);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(PolarToCart, angleInRadians)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::polarToCart(src1_roi, src2_roi, dst1_roi, dst2_roi));
|
|
OCL_ON(cv::polarToCart(usrc1_roi, usrc2_roi, udst1_roi, udst2_roi));
|
|
|
|
Near(0.5);
|
|
Near1(0.5);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Transpose /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Transpose;
|
|
|
|
OCL_TEST_P(Transpose, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
Size roiSize = src1_roi.size();
|
|
Border dst1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(dst1, dst1_roi, Size(roiSize.height, roiSize.width), dst1Border, src1.type(), 5, 16);
|
|
|
|
UMAT_UPLOAD_INPUT_PARAMETER(dst1);
|
|
|
|
OCL_OFF(cv::transpose(src1_roi, dst1_roi));
|
|
OCL_ON(cv::transpose(usrc1_roi, udst1_roi));
|
|
|
|
Near(1e-5);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Transpose, SquareInplace)
|
|
{
|
|
const int type = CV_MAKE_TYPE(depth, cn);
|
|
|
|
for (int j = 0; j < test_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);
|
|
|
|
UMAT_UPLOAD_OUTPUT_PARAMETER(src1);
|
|
|
|
OCL_OFF(cv::transpose(src1_roi, src1_roi));
|
|
OCL_ON(cv::transpose(usrc1_roi, usrc1_roi));
|
|
|
|
OCL_EXPECT_MATS_NEAR(src1, 0);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Bitwise_and /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Bitwise_and;
|
|
|
|
OCL_TEST_P(Bitwise_and, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_and(src1_roi, src2_roi, dst1_roi));
|
|
OCL_ON(cv::bitwise_and(usrc1_roi, usrc2_roi, udst1_roi));
|
|
Near(0);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Bitwise_and, Mat_Mask)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_and(src1_roi, src2_roi, dst1_roi, mask_roi));
|
|
OCL_ON(cv::bitwise_and(usrc1_roi, usrc2_roi, udst1_roi, umask_roi));
|
|
Near(0);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Bitwise_and, Scalar)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_and(src1_roi, val, dst1_roi));
|
|
OCL_ON(cv::bitwise_and(usrc1_roi, val, udst1_roi));
|
|
Near(1e-5);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Bitwise_and, Scalar_Mask)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_and(src1_roi, val, dst1_roi, mask_roi));
|
|
OCL_ON(cv::bitwise_and(usrc1_roi, val, udst1_roi, umask_roi));
|
|
Near(1e-5);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Bitwise_or /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Bitwise_or;
|
|
|
|
OCL_TEST_P(Bitwise_or, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_or(src1_roi, src2_roi, dst1_roi));
|
|
OCL_ON(cv::bitwise_or(usrc1_roi, usrc2_roi, udst1_roi));
|
|
Near(0);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Bitwise_or, Mat_Mask)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_or(src1_roi, src2_roi, dst1_roi, mask_roi));
|
|
OCL_ON(cv::bitwise_or(usrc1_roi, usrc2_roi, udst1_roi, umask_roi));
|
|
Near(0);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Bitwise_or, Scalar)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_or(src1_roi, val, dst1_roi));
|
|
OCL_ON(cv::bitwise_or(usrc1_roi, val, udst1_roi));
|
|
Near(1e-5);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Bitwise_or, Scalar_Mask)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_or(src1_roi, val, dst1_roi, mask_roi));
|
|
OCL_ON(cv::bitwise_or(val, usrc1_roi, udst1_roi, umask_roi));
|
|
Near(1e-5);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Bitwise_xor /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Bitwise_xor;
|
|
|
|
OCL_TEST_P(Bitwise_xor, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_xor(src1_roi, src2_roi, dst1_roi));
|
|
OCL_ON(cv::bitwise_xor(usrc1_roi, usrc2_roi, udst1_roi));
|
|
Near(0);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Bitwise_xor, Mat_Mask)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_xor(src1_roi, src2_roi, dst1_roi, mask_roi));
|
|
OCL_ON(cv::bitwise_xor(usrc1_roi, usrc2_roi, udst1_roi, umask_roi));
|
|
Near(0);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Bitwise_xor, Scalar)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_xor(src1_roi, val, dst1_roi));
|
|
OCL_ON(cv::bitwise_xor(usrc1_roi, val, udst1_roi));
|
|
Near(1e-5);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Bitwise_xor, Scalar_Mask)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_xor(src1_roi, val, dst1_roi, mask_roi));
|
|
OCL_ON(cv::bitwise_xor(usrc1_roi, val, udst1_roi, umask_roi));
|
|
Near(1e-5);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Bitwise_not /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Bitwise_not;
|
|
|
|
OCL_TEST_P(Bitwise_not, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::bitwise_not(src1_roi, dst1_roi));
|
|
OCL_ON(cv::bitwise_not(usrc1_roi, udst1_roi));
|
|
Near(0);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Compare /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Compare;
|
|
|
|
static const int cmp_codes[] = { CMP_EQ, CMP_GT, CMP_GE, CMP_LT, CMP_LE, CMP_NE };
|
|
static const char * cmp_strs[] = { "CMP_EQ", "CMP_GT", "CMP_GE", "CMP_LT", "CMP_LE", "CMP_NE" };
|
|
static const int cmp_num = sizeof(cmp_codes) / sizeof(int);
|
|
|
|
OCL_TEST_P(Compare, Mat)
|
|
{
|
|
for (int i = 0; i < cmp_num; ++i)
|
|
{
|
|
SCOPED_TRACE(cmp_strs[i]);
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::compare(src1_roi, src2_roi, dst1_roi, cmp_codes[i]));
|
|
OCL_ON(cv::compare(usrc1_roi, usrc2_roi, udst1_roi, cmp_codes[i]));
|
|
|
|
Near(0);
|
|
}
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Compare, Scalar)
|
|
{
|
|
for (int i = 0; i < cmp_num; ++i)
|
|
{
|
|
SCOPED_TRACE(cmp_strs[i]);
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData(true);
|
|
|
|
OCL_OFF(cv::compare(src1_roi, val_in_range, dst1_roi, cmp_codes[i]));
|
|
OCL_ON(cv::compare(usrc1_roi, val_in_range, udst1_roi, cmp_codes[i]));
|
|
|
|
Near(0);
|
|
}
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Compare, Scalar2)
|
|
{
|
|
for (int i = 0; i < cmp_num; ++i)
|
|
{
|
|
SCOPED_TRACE(cmp_strs[i]);
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData(true);
|
|
|
|
OCL_OFF(cv::compare(val_in_range, src1_roi, dst1_roi, cmp_codes[i]));
|
|
OCL_ON(cv::compare(val_in_range, usrc1_roi, udst1_roi, cmp_codes[i]));
|
|
|
|
Near(0);
|
|
}
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Pow /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Pow;
|
|
|
|
OCL_TEST_P(Pow, Mat)
|
|
{
|
|
static const double pows[] = { -4, -1, -2.5, 0, 1, 2, 3.7, 4 };
|
|
|
|
for (int j = 0; j < 1/*test_loop_times*/; j++)
|
|
for (int k = 0, size = sizeof(pows) / sizeof(double); k < size; ++k)
|
|
{
|
|
SCOPED_TRACE(pows[k]);
|
|
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::pow(src1_roi, pows[k], dst1_roi));
|
|
OCL_ON(cv::pow(usrc1_roi, pows[k], udst1_roi));
|
|
|
|
OCL_EXPECT_MATS_NEAR_RELATIVE(dst1, 1e-5);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// AddWeighted /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase AddWeighted;
|
|
|
|
OCL_TEST_P(AddWeighted, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
const double alpha = 2.0, beta = 1.0, gama = 3.0;
|
|
|
|
OCL_OFF(cv::addWeighted(src1_roi, alpha, src2_roi, beta, gama, dst1_roi));
|
|
OCL_ON(cv::addWeighted(usrc1_roi, alpha, usrc2_roi, beta, gama, udst1_roi));
|
|
|
|
Near(3e-4);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// setIdentity /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase SetIdentity;
|
|
|
|
OCL_TEST_P(SetIdentity, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::setIdentity(dst1_roi, val));
|
|
OCL_ON(cv::setIdentity(udst1_roi, val));
|
|
|
|
Near(0);
|
|
}
|
|
}
|
|
|
|
//// Repeat
|
|
|
|
struct RepeatTestCase :
|
|
public ArithmTestBase
|
|
{
|
|
int nx, ny;
|
|
|
|
virtual void generateTestData()
|
|
{
|
|
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);
|
|
|
|
UMAT_UPLOAD_INPUT_PARAMETER(src1);
|
|
UMAT_UPLOAD_OUTPUT_PARAMETER(dst1);
|
|
}
|
|
};
|
|
|
|
typedef RepeatTestCase Repeat;
|
|
|
|
OCL_TEST_P(Repeat, Mat)
|
|
{
|
|
for (int i = 0; i < test_loop_times; ++i)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::repeat(src1_roi, ny, nx, dst1_roi));
|
|
OCL_ON(cv::repeat(usrc1_roi, ny, nx, udst1_roi));
|
|
|
|
Near();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// CountNonZero /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase CountNonZero;
|
|
|
|
OCL_TEST_P(CountNonZero, MAT)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
int cpures, gpures;
|
|
OCL_OFF(cpures = cv::countNonZero(src1_roi));
|
|
OCL_ON(gpures = cv::countNonZero(usrc1_roi));
|
|
|
|
EXPECT_EQ(cpures, gpures);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Sum /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Sum;
|
|
|
|
OCL_TEST_P(Sum, MAT)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
Scalar cpures, gpures;
|
|
OCL_OFF(cpures = cv::sum(src1_roi));
|
|
OCL_ON(gpures = cv::sum(usrc1_roi));
|
|
|
|
for (int i = 0; i < cn; ++i)
|
|
EXPECT_NEAR(cpures[i], gpures[i], 0.1);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// meanStdDev /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase MeanStdDev;
|
|
|
|
OCL_TEST_P(MeanStdDev, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
Scalar cpu_mean, cpu_stddev;
|
|
Scalar gpu_mean, gpu_stddev;
|
|
|
|
OCL_OFF(cv::meanStdDev(src1_roi, cpu_mean, cpu_stddev));
|
|
OCL_ON(cv::meanStdDev(usrc1_roi, gpu_mean, gpu_stddev));
|
|
|
|
for (int i = 0; i < cn; ++i)
|
|
{
|
|
EXPECT_NEAR(cpu_mean[i], gpu_mean[i], 0.1);
|
|
EXPECT_NEAR(cpu_stddev[i], gpu_stddev[i], 0.1);
|
|
}
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(MeanStdDev, Mat_Mask)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
Scalar cpu_mean, cpu_stddev;
|
|
Scalar gpu_mean, gpu_stddev;
|
|
|
|
OCL_OFF(cv::meanStdDev(src1_roi, cpu_mean, cpu_stddev, mask_roi));
|
|
OCL_ON(cv::meanStdDev(usrc1_roi, gpu_mean, gpu_stddev, umask_roi));
|
|
|
|
for (int i = 0; i < cn; ++i)
|
|
{
|
|
EXPECT_NEAR(cpu_mean[i], gpu_mean[i], 0.1);
|
|
EXPECT_NEAR(cpu_stddev[i], gpu_stddev[i], 0.1);
|
|
}
|
|
}
|
|
}
|
|
|
|
OCL_TEST(MeanStdDev_, ZeroMask)
|
|
{
|
|
Size size(5, 5);
|
|
UMat um(size, CV_32SC1), umask(size, CV_8UC1, Scalar::all(0));
|
|
Mat m(size, CV_32SC1), mask(size, CV_8UC1, Scalar::all(0));
|
|
|
|
Scalar cpu_mean, cpu_stddev;
|
|
Scalar gpu_mean, gpu_stddev;
|
|
|
|
OCL_OFF(cv::meanStdDev(m, cpu_mean, cpu_stddev, mask));
|
|
OCL_ON(cv::meanStdDev(um, gpu_mean, gpu_stddev, umask));
|
|
|
|
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);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////// Log /////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Log;
|
|
|
|
OCL_TEST_P(Log, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::log(src1_roi, dst1_roi));
|
|
OCL_ON(cv::log(usrc1_roi, udst1_roi));
|
|
Near(1);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////// Exp /////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Exp;
|
|
|
|
OCL_TEST_P(Exp, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::exp(src1_roi, dst1_roi));
|
|
OCL_ON(cv::exp(usrc1_roi, udst1_roi));
|
|
Near(2);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////// Phase /////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Phase;
|
|
|
|
OCL_TEST_P(Phase, angleInDegree)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::phase(src1_roi, src2_roi, dst1_roi, true));
|
|
OCL_ON(cv::phase(usrc1_roi, usrc2_roi, udst1_roi, true));
|
|
Near(1e-2);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Phase, angleInRadians)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::phase(src1_roi, src2_roi, dst1_roi));
|
|
OCL_ON(cv::phase(usrc1_roi, usrc2_roi, udst1_roi));
|
|
Near(1e-2);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////// Magnitude /////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Magnitude;
|
|
|
|
OCL_TEST_P(Magnitude, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::magnitude(src1_roi, src2_roi, dst1_roi));
|
|
OCL_ON(cv::magnitude(usrc1_roi, usrc2_roi, udst1_roi));
|
|
Near(depth == CV_64F ? 1e-5 : 1e-2);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Flip /////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Flip;
|
|
|
|
OCL_TEST_P(Flip, X)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::flip(src1_roi, dst1_roi, 0));
|
|
OCL_ON(cv::flip(usrc1_roi, udst1_roi, 0));
|
|
Near(0);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Flip, Y)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::flip(src1_roi, dst1_roi, 1));
|
|
OCL_ON(cv::flip(usrc1_roi, udst1_roi, 1));
|
|
Near(0);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Flip, BOTH)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::flip(src1_roi, dst1_roi, -1));
|
|
OCL_ON(cv::flip(usrc1_roi, udst1_roi, -1));
|
|
Near(0);
|
|
}
|
|
}
|
|
//////////////////////////////////////// minMaxIdx /////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase MinMaxIdx;
|
|
|
|
OCL_TEST_P(MinMaxIdx, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
int p1[2], p2[2], up1[2], up2[2];
|
|
double minv, maxv, uminv, umaxv;
|
|
|
|
if (cn > 1)
|
|
{
|
|
OCL_OFF(cv::minMaxIdx(src2_roi, &minv, &maxv) );
|
|
OCL_ON(cv::minMaxIdx(usrc2_roi, &uminv, &umaxv));
|
|
|
|
EXPECT_DOUBLE_EQ(minv, uminv);
|
|
EXPECT_DOUBLE_EQ(maxv, umaxv);
|
|
}
|
|
else
|
|
{
|
|
OCL_OFF(cv::minMaxIdx(src2_roi, &minv, &maxv, p1, p2, noArray()));
|
|
OCL_ON(cv::minMaxIdx(usrc2_roi, &uminv, &umaxv, up1, up2, noArray()));
|
|
|
|
EXPECT_DOUBLE_EQ(minv, uminv);
|
|
EXPECT_DOUBLE_EQ(maxv, umaxv);
|
|
|
|
for (int i = 0; i < 2; i++)
|
|
{
|
|
EXPECT_EQ(p1[i], up1[i]);
|
|
EXPECT_EQ(p2[i], up2[i]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
typedef ArithmTestBase MinMaxIdx_Mask;
|
|
|
|
OCL_TEST_P(MinMaxIdx_Mask, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
int p1[2], p2[2], up1[2], up2[2];
|
|
double minv, maxv, uminv, umaxv;
|
|
|
|
OCL_OFF(cv::minMaxIdx(src2_roi, &minv, &maxv, p1, p2, mask_roi));
|
|
OCL_ON(cv::minMaxIdx(usrc2_roi, &uminv, &umaxv, up1, up2, umask_roi));
|
|
|
|
EXPECT_DOUBLE_EQ(minv, uminv);
|
|
EXPECT_DOUBLE_EQ(maxv, umaxv);
|
|
for( int i = 0; i < 2; i++)
|
|
{
|
|
EXPECT_EQ(p1[i], up1[i]);
|
|
EXPECT_EQ(p2[i], up2[i]);
|
|
}
|
|
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Norm /////////////////////////////////////////////////
|
|
|
|
static bool relativeError(double actual, double expected, double eps)
|
|
{
|
|
return std::abs(actual - expected) < eps*(1 + std::abs(actual));
|
|
}
|
|
|
|
typedef ArithmTestBase Norm;
|
|
|
|
OCL_TEST_P(Norm, NORM_INF_1arg)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_INF));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_INF));
|
|
|
|
EXPECT_NEAR(cpuRes, gpuRes, 0.1);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_INF_1arg_mask)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_INF, mask_roi));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_INF, umask_roi));
|
|
|
|
EXPECT_NEAR(cpuRes, gpuRes, 0.2);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_L1_1arg)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_L1));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_L1));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_L1_1arg_mask)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_L1, mask_roi));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_L1, umask_roi));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_L2_1arg)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_L2));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_L2));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_L2_1arg_mask)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, NORM_L2, mask_roi));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, NORM_L2, umask_roi));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_INF_2args)
|
|
{
|
|
for (int relative = 0; relative < 2; ++relative)
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
SCOPED_TRACE(relative ? "NORM_RELATIVE" : "");
|
|
|
|
int type = NORM_INF;
|
|
if (relative == 1)
|
|
type |= NORM_RELATIVE;
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_INF_2args_mask)
|
|
{
|
|
for (int relative = 0; relative < 2; ++relative)
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
SCOPED_TRACE(relative ? "NORM_RELATIVE" : "");
|
|
|
|
int type = NORM_INF;
|
|
if (relative == 1)
|
|
type |= NORM_RELATIVE;
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type, mask_roi));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type, umask_roi));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_L1_2args)
|
|
{
|
|
for (int relative = 0; relative < 2; ++relative)
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
SCOPED_TRACE(relative ? "NORM_RELATIVE" : "");
|
|
|
|
int type = NORM_L1;
|
|
if (relative == 1)
|
|
type |= NORM_RELATIVE;
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_L1_2args_mask)
|
|
{
|
|
for (int relative = 0; relative < 2; ++relative)
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
SCOPED_TRACE(relative ? "NORM_RELATIVE" : "");
|
|
|
|
int type = NORM_L1;
|
|
if (relative == 1)
|
|
type |= NORM_RELATIVE;
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type, mask_roi));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type, umask_roi));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_L2_2args)
|
|
{
|
|
for (int relative = 0; relative < 2; ++relative)
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
SCOPED_TRACE(relative ? "NORM_RELATIVE" : "");
|
|
|
|
int type = NORM_L2;
|
|
if (relative == 1)
|
|
type |= NORM_RELATIVE;
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(Norm, NORM_L2_2args_mask)
|
|
{
|
|
for (int relative = 0; relative < 2; ++relative)
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
SCOPED_TRACE(relative ? "NORM_RELATIVE" : "");
|
|
|
|
int type = NORM_L2;
|
|
if (relative == 1)
|
|
type |= NORM_RELATIVE;
|
|
|
|
OCL_OFF(const double cpuRes = cv::norm(src1_roi, src2_roi, type, mask_roi));
|
|
OCL_ON(const double gpuRes = cv::norm(usrc1_roi, usrc2_roi, type, umask_roi));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// UMat::dot ////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase UMatDot;
|
|
|
|
OCL_TEST_P(UMatDot, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(const double cpuRes = src1_roi.dot(src2_roi));
|
|
OCL_ON(const double gpuRes = usrc1_roi.dot(usrc2_roi));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-5);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Sqrt ////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Sqrt;
|
|
|
|
OCL_TEST_P(Sqrt, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::sqrt(src1_roi, dst1_roi));
|
|
OCL_ON(cv::sqrt(usrc1_roi, udst1_roi));
|
|
|
|
Near(1);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Normalize ////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Normalize;
|
|
|
|
OCL_TEST_P(Normalize, Mat)
|
|
{
|
|
static int modes[] = { CV_MINMAX, CV_L2, CV_L1, CV_C };
|
|
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
for (int i = 0, size = sizeof(modes) / sizeof(modes[0]); i < size; ++i)
|
|
{
|
|
OCL_OFF(cv::normalize(src1_roi, dst1_roi, 10, 110, modes[i], src1_roi.type(), mask_roi));
|
|
OCL_ON(cv::normalize(usrc1_roi, udst1_roi, 10, 110, modes[i], src1_roi.type(), umask_roi));
|
|
|
|
Near(1);
|
|
}
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////// InRange ///////////////////////////////////////////////
|
|
|
|
PARAM_TEST_CASE(InRange, MatDepth, Channels, bool /*Scalar or not*/, bool /*Roi*/)
|
|
{
|
|
int depth;
|
|
int cn;
|
|
bool scalars, use_roi;
|
|
cv::Scalar val1, val2;
|
|
|
|
TEST_DECLARE_INPUT_PARAMETER(src1);
|
|
TEST_DECLARE_INPUT_PARAMETER(src2);
|
|
TEST_DECLARE_INPUT_PARAMETER(src3);
|
|
TEST_DECLARE_OUTPUT_PARAMETER(dst);
|
|
|
|
virtual void SetUp()
|
|
{
|
|
depth = GET_PARAM(0);
|
|
cn = GET_PARAM(1);
|
|
scalars = GET_PARAM(2);
|
|
use_roi = GET_PARAM(3);
|
|
}
|
|
|
|
virtual void generateTestData()
|
|
{
|
|
const int type = CV_MAKE_TYPE(depth, cn);
|
|
|
|
Size roiSize = randomSize(1, MAX_VALUE);
|
|
Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(src1, src1_roi, roiSize, src1Border, type, -40, 40);
|
|
|
|
Border src2Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(src2, src2_roi, roiSize, src2Border, type, -40, 40);
|
|
|
|
Border src3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(src3, src3_roi, roiSize, src3Border, type, -40, 40);
|
|
|
|
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_8UC1, 5, 16);
|
|
|
|
val1 = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0),
|
|
rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0));
|
|
val2 = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0),
|
|
rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0));
|
|
|
|
UMAT_UPLOAD_INPUT_PARAMETER(src1);
|
|
UMAT_UPLOAD_INPUT_PARAMETER(src2);
|
|
UMAT_UPLOAD_INPUT_PARAMETER(src3);
|
|
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
|
|
}
|
|
|
|
void Near()
|
|
{
|
|
OCL_EXPECT_MATS_NEAR(dst, 0);
|
|
}
|
|
};
|
|
|
|
OCL_TEST_P(InRange, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::inRange(src1_roi, src2_roi, src3_roi, dst_roi));
|
|
OCL_ON(cv::inRange(usrc1_roi, usrc2_roi, usrc3_roi, udst_roi));
|
|
|
|
Near();
|
|
}
|
|
}
|
|
|
|
OCL_TEST_P(InRange, Scalar)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::inRange(src1_roi, val1, val2, dst_roi));
|
|
OCL_ON(cv::inRange(usrc1_roi, val1, val2, udst_roi));
|
|
|
|
Near();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// ConvertScaleAbs ////////////////////////////////////////////////
|
|
|
|
PARAM_TEST_CASE(ConvertScaleAbs, MatDepth, Channels, bool)
|
|
{
|
|
int depth;
|
|
int cn;
|
|
bool use_roi;
|
|
cv::Scalar val;
|
|
|
|
TEST_DECLARE_INPUT_PARAMETER(src);
|
|
TEST_DECLARE_OUTPUT_PARAMETER(dst);
|
|
|
|
virtual void SetUp()
|
|
{
|
|
depth = GET_PARAM(0);
|
|
cn = GET_PARAM(1);
|
|
use_roi = GET_PARAM(2);
|
|
}
|
|
|
|
virtual void generateTestData()
|
|
{
|
|
const int stype = CV_MAKE_TYPE(depth, cn);
|
|
const int dtype = CV_MAKE_TYPE(CV_8U, cn);
|
|
|
|
Size roiSize = randomSize(1, MAX_VALUE);
|
|
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(src, src_roi, roiSize, srcBorder, stype, -11, 11); // FIXIT: Test with minV, maxV
|
|
|
|
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(dst, dst_roi, roiSize, dstBorder, dtype, 5, 16);
|
|
|
|
val = cv::Scalar(rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0),
|
|
rng.uniform(-100.0, 100.0), rng.uniform(-100.0, 100.0));
|
|
|
|
UMAT_UPLOAD_INPUT_PARAMETER(src);
|
|
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
|
|
}
|
|
|
|
void Near(double threshold = 0.)
|
|
{
|
|
OCL_EXPECT_MATS_NEAR(dst, threshold);
|
|
}
|
|
|
|
};
|
|
|
|
|
|
OCL_TEST_P(ConvertScaleAbs, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::convertScaleAbs(src_roi, dst_roi, val[0], val[1]));
|
|
OCL_ON(cv::convertScaleAbs(usrc_roi, udst_roi, val[0], val[1]));
|
|
|
|
Near(1);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// ScaleAdd ////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase ScaleAdd;
|
|
|
|
OCL_TEST_P(ScaleAdd, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::scaleAdd(src1_roi, val[0], src2_roi, dst1_roi));
|
|
OCL_ON(cv::scaleAdd(usrc1_roi, val[0], usrc2_roi, udst1_roi));
|
|
|
|
Near(depth <= CV_32S ? 1 : 1e-3);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// PatchNans ////////////////////////////////////////////////
|
|
|
|
PARAM_TEST_CASE(PatchNaNs, Channels, bool)
|
|
{
|
|
int cn;
|
|
bool use_roi;
|
|
double value;
|
|
|
|
TEST_DECLARE_INPUT_PARAMETER(src);
|
|
|
|
virtual void SetUp()
|
|
{
|
|
cn = GET_PARAM(0);
|
|
use_roi = GET_PARAM(1);
|
|
}
|
|
|
|
virtual void generateTestData()
|
|
{
|
|
const int type = CV_MAKE_TYPE(CV_32F, cn);
|
|
|
|
Size roiSize = randomSize(1, 10);
|
|
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(src, src_roi, roiSize, srcBorder, type, -40, 40);
|
|
|
|
// generating NaNs
|
|
roiSize.width *= cn;
|
|
for (int y = 0; y < roiSize.height; ++y)
|
|
{
|
|
float * const ptr = src_roi.ptr<float>(y);
|
|
for (int x = 0; x < roiSize.width; ++x)
|
|
ptr[x] = randomInt(-1, 1) == 0 ? std::numeric_limits<float>::quiet_NaN() : ptr[x];
|
|
}
|
|
|
|
value = randomDouble(-100, 100);
|
|
|
|
UMAT_UPLOAD_INPUT_PARAMETER(src);
|
|
}
|
|
|
|
void Near()
|
|
{
|
|
OCL_EXPECT_MATS_NEAR(src, 0);
|
|
}
|
|
};
|
|
|
|
OCL_TEST_P(PatchNaNs, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::patchNaNs(src_roi, value));
|
|
OCL_ON(cv::patchNaNs(usrc_roi, value));
|
|
|
|
Near();
|
|
}
|
|
}
|
|
|
|
//////////////////////////////// Psnr ////////////////////////////////////////////////
|
|
|
|
typedef ArithmTestBase Psnr;
|
|
|
|
OCL_TEST_P(Psnr, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
double cpuRes = 0, gpuRes = 0;
|
|
|
|
OCL_OFF(cpuRes = cv::PSNR(src1_roi, src2_roi));
|
|
OCL_ON(gpuRes = cv::PSNR(usrc1_roi, usrc2_roi));
|
|
|
|
EXPECT_PRED3(relativeError, cpuRes, gpuRes, 1e-6);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////// Reduce /////////////////////////////////////////////
|
|
|
|
PARAM_TEST_CASE(Reduce, std::pair<MatDepth, MatDepth>, Channels, int, bool)
|
|
{
|
|
int sdepth, ddepth, cn, dim, dtype;
|
|
bool use_roi;
|
|
|
|
TEST_DECLARE_INPUT_PARAMETER(src);
|
|
TEST_DECLARE_OUTPUT_PARAMETER(dst);
|
|
|
|
virtual void SetUp()
|
|
{
|
|
const std::pair<MatDepth, MatDepth> p = GET_PARAM(0);
|
|
sdepth = p.first;
|
|
ddepth = p.second;
|
|
cn = GET_PARAM(1);
|
|
dim = GET_PARAM(2);
|
|
use_roi = GET_PARAM(3);
|
|
}
|
|
|
|
virtual void generateTestData()
|
|
{
|
|
const int stype = CV_MAKE_TYPE(sdepth, cn);
|
|
dtype = CV_MAKE_TYPE(ddepth, cn);
|
|
|
|
Size roiSize = randomSize(1, MAX_VALUE);
|
|
Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(src, src_roi, roiSize, srcBorder, stype, -40, 40);
|
|
|
|
Size dstRoiSize = Size(dim == 0 ? roiSize.width : 1, dim == 0 ? 1 : roiSize.height);
|
|
Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
|
|
randomSubMat(dst, dst_roi, dstRoiSize, dstBorder, dtype, 5, 16);
|
|
|
|
UMAT_UPLOAD_INPUT_PARAMETER(src);
|
|
UMAT_UPLOAD_OUTPUT_PARAMETER(dst);
|
|
}
|
|
};
|
|
|
|
typedef Reduce ReduceSum;
|
|
|
|
OCL_TEST_P(ReduceSum, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_SUM, dtype));
|
|
OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_SUM, dtype));
|
|
|
|
double eps = ddepth <= CV_32S ? 1 : 7e-4;
|
|
OCL_EXPECT_MATS_NEAR(dst, eps);
|
|
}
|
|
}
|
|
|
|
typedef Reduce ReduceMax;
|
|
|
|
OCL_TEST_P(ReduceMax, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_MAX, dtype));
|
|
OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_MAX, dtype));
|
|
|
|
OCL_EXPECT_MATS_NEAR(dst, 0);
|
|
}
|
|
}
|
|
|
|
typedef Reduce ReduceMin;
|
|
|
|
OCL_TEST_P(ReduceMin, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_MIN, dtype));
|
|
OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_MIN, dtype));
|
|
|
|
OCL_EXPECT_MATS_NEAR(dst, 0);
|
|
}
|
|
}
|
|
|
|
typedef Reduce ReduceAvg;
|
|
|
|
OCL_TEST_P(ReduceAvg, Mat)
|
|
{
|
|
for (int j = 0; j < test_loop_times; j++)
|
|
{
|
|
generateTestData();
|
|
|
|
OCL_OFF(cv::reduce(src_roi, dst_roi, dim, CV_REDUCE_AVG, dtype));
|
|
OCL_ON(cv::reduce(usrc_roi, udst_roi, dim, CV_REDUCE_AVG, dtype));
|
|
|
|
double eps = ddepth <= CV_32S ? 1 : 6e-6;
|
|
OCL_EXPECT_MATS_NEAR(dst, eps);
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////// Instantiation /////////////////////////////////////////
|
|
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Lut, Combine(::testing::Values(CV_8U, CV_8S), OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool(), Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Add, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Subtract, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Mul, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Div, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Min, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Max, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Absdiff, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, CartToPolar, Combine(testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, PolarToCart, Combine(testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Transpose, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_and, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_not, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_xor, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Bitwise_or, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Pow, Combine(testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Compare, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, AddWeighted, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, SetIdentity, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Repeat, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, CountNonZero, Combine(OCL_ALL_DEPTHS, testing::Values(Channels(1)), Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Sum, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, MeanStdDev, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Log, Combine(::testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Exp, Combine(::testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Phase, Combine(::testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Magnitude, Combine(::testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Flip, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, MinMaxIdx, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, MinMaxIdx_Mask, Combine(OCL_ALL_DEPTHS, ::testing::Values(Channels(1)), Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Norm, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Sqrt, Combine(::testing::Values(CV_32F, CV_64F), OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Normalize, Combine(OCL_ALL_DEPTHS, Values(Channels(1)), Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, InRange, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool(), Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, ConvertScaleAbs, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, ScaleAdd, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, PatchNaNs, Combine(OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, Psnr, Combine(::testing::Values((MatDepth)CV_8U), OCL_ALL_CHANNELS, Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, UMatDot, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
|
|
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, ReduceSum, Combine(testing::Values(std::make_pair<MatDepth, MatDepth>(CV_8U, CV_32S),
|
|
std::make_pair<MatDepth, MatDepth>(CV_8U, CV_32F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_8U, CV_64F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16U, CV_32F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16U, CV_64F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16S, CV_32F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16S, CV_64F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_32F, CV_32F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_32F, CV_64F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_64F, CV_64F)),
|
|
OCL_ALL_CHANNELS, testing::Values(0, 1), Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, ReduceAvg, Combine(testing::Values(std::make_pair<MatDepth, MatDepth>(CV_8U, CV_32S),
|
|
std::make_pair<MatDepth, MatDepth>(CV_8U, CV_32F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_8U, CV_64F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16U, CV_32F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16U, CV_64F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16S, CV_32F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16S, CV_64F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_32F, CV_32F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_32F, CV_64F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_64F, CV_64F)),
|
|
OCL_ALL_CHANNELS, testing::Values(0, 1), Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, ReduceMax, Combine(testing::Values(std::make_pair<MatDepth, MatDepth>(CV_8U, CV_8U),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16U, CV_16U),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16S, CV_16S),
|
|
std::make_pair<MatDepth, MatDepth>(CV_32F, CV_32F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_64F, CV_64F)),
|
|
OCL_ALL_CHANNELS, testing::Values(0, 1), Bool()));
|
|
OCL_INSTANTIATE_TEST_CASE_P(Arithm, ReduceMin, Combine(testing::Values(std::make_pair<MatDepth, MatDepth>(CV_8U, CV_8U),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16U, CV_16U),
|
|
std::make_pair<MatDepth, MatDepth>(CV_16S, CV_16S),
|
|
std::make_pair<MatDepth, MatDepth>(CV_32F, CV_32F),
|
|
std::make_pair<MatDepth, MatDepth>(CV_64F, CV_64F)),
|
|
OCL_ALL_CHANNELS, testing::Values(0, 1), Bool()));
|
|
|
|
|
|
} } // namespace cvtest::ocl
|
|
|
|
#endif // HAVE_OPENCL
|