293 lines
8.8 KiB
C++
293 lines
8.8 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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#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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EXPECT_MAT_NEAR(dst, udst, threshold);
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EXPECT_MAT_NEAR(dst_roi, udst_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 < 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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// declare Mat + UMat mirrors
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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()
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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, 2, 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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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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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.)
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{
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EXPECT_MAT_NEAR(dst1, udst1, threshold);
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EXPECT_MAT_NEAR(dst1_roi, udst1_roi, threshold);
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}
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void Near1(double threshold = 0.)
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{
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EXPECT_MAT_NEAR(dst2, udst2, threshold);
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EXPECT_MAT_NEAR(dst2_roi, udst2_roi, 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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//////////////////////////////////////// Instantiation /////////////////////////////////////////
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OCL_INSTANTIATE_TEST_CASE_P(Arithm, Lut, Combine(::testing::Values(CV_8U, CV_8S), OCL_ALL_DEPTHS, ::testing::Values(1, 2, 3, 4), Bool(), Bool()));
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OCL_INSTANTIATE_TEST_CASE_P(Arithm, Add, Combine(OCL_ALL_DEPTHS, ::testing::Values(1, 2, 4), Bool()));
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OCL_INSTANTIATE_TEST_CASE_P(Arithm, Subtract, Combine(OCL_ALL_DEPTHS, ::testing::Values(1, 2, 4), Bool()));
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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