mirror of
https://github.com/opencv/opencv.git
synced 2026-07-30 15:53:03 +04:00
added cv::merge to T-API
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@@ -42,8 +42,6 @@
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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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@@ -1036,5 +1034,3 @@ OCL_INSTANTIATE_TEST_CASE_P(Arithm, Magnitude, Combine(::testing::Values(CV_32F,
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OCL_INSTANTIATE_TEST_CASE_P(Arithm, Flip, Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F), Values(1, 2, 3, 4), Bool()));
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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@@ -0,0 +1,201 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Jia Haipeng, jiahaipeng95@gmail.com
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "test_precomp.hpp"
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#include "opencv2/ts/ocl_test.hpp"
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namespace cvtest {
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namespace ocl {
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PARAM_TEST_CASE(MergeTestBase, MatDepth, Channels, bool)
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{
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int depth, cn;
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bool use_roi;
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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(src3)
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TEST_DECLARE_INPUT_PARAMETER(src4)
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TEST_DECLARE_OUTPUT_PARAMETER(dst)
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std::vector<Mat> src_roi;
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std::vector<UMat> usrc_roi;
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virtual void SetUp()
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{
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depth = GET_PARAM(0);
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cn = GET_PARAM(1);
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use_roi = GET_PARAM(2);
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}
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virtual void random_roi()
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{
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CV_Assert(cn >= 1 && cn <= 4);
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Size roiSize = randomSize(1, MAX_VALUE);
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{
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Border src1Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(src1, src1_roi, roiSize, src1Border, depth, 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, depth, -1540, 1740);
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Border src3Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(src3, src3_roi, roiSize, src3Border, depth, -1540, 1740);
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Border src4Border = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(src4, src4_roi, roiSize, src4Border, depth, -1540, 1740);
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}
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Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_MAKE_TYPE(depth, cn), 5, 16);
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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(src3)
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UMAT_UPLOAD_INPUT_PARAMETER(src4)
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UMAT_UPLOAD_OUTPUT_PARAMETER(dst)
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src_roi.push_back(src1_roi), usrc_roi.push_back(usrc1_roi);
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if (cn >= 2)
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src_roi.push_back(src2_roi), usrc_roi.push_back(usrc2_roi);
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if (cn >= 3)
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src_roi.push_back(src3_roi), usrc_roi.push_back(usrc3_roi);
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if (cn >= 4)
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src_roi.push_back(src4_roi), usrc_roi.push_back(usrc4_roi);
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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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typedef MergeTestBase Merge;
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OCL_TEST_P(Merge, Accuracy)
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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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random_roi();
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OCL_OFF(cv::merge(src_roi, dst_roi));
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OCL_ON(cv::merge(usrc_roi, udst_roi));
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Near();
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}
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}
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//PARAM_TEST_CASE(SplitTestBase, MatType, int, bool)
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//{
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// int type;
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// int channels;
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// bool use_roi;
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// cv::Mat src, src_roi;
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// cv::Mat dst[MAX_CHANNELS], dst_roi[MAX_CHANNELS];
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// cv::ocl::oclMat gsrc_whole, gsrc_roi;
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// cv::ocl::oclMat gdst_whole[MAX_CHANNELS], gdst_roi[MAX_CHANNELS];
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// virtual void SetUp()
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// {
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// type = GET_PARAM(0);
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// channels = GET_PARAM(1);
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// use_roi = GET_PARAM(2);
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// }
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// void random_roi()
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// {
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// Size roiSize = randomSize(1, MAX_VALUE);
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// Border srcBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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// randomSubMat(src, src_roi, roiSize, srcBorder, CV_MAKETYPE(type, channels), 0, 256);
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// generateOclMat(gsrc_whole, gsrc_roi, src, roiSize, srcBorder);
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// for (int i = 0; i < channels; ++i)
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// {
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// Border dstBorder = randomBorder(0, use_roi ? MAX_VALUE : 0);
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// randomSubMat(dst[i], dst_roi[i], roiSize, dstBorder, CV_MAKETYPE(type, 1), 5, 16);
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// generateOclMat(gdst_whole[i], gdst_roi[i], dst[i], roiSize, dstBorder);
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// }
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// }
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//};
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//struct Split : SplitTestBase {};
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//#ifdef ANDROID
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//// NOTE: The test fail on Android is the top of the iceberg only
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//// The real fail reason is memory access vialation somewhere else
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//OCL_TEST_P(Split, DISABLED_Accuracy)
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//#else
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//OCL_TEST_P(Split, Accuracy)
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//#endif
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//{
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// for(int j = 0; j < LOOP_TIMES; j++)
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// {
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// random_roi();
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// cv::split(src_roi, dst_roi);
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// cv::ocl::split(gsrc_roi, gdst_roi);
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// for (int i = 0; i < channels; ++i)
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// {
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// EXPECT_MAT_NEAR(dst[i], gdst_whole[i], 0.0);
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// EXPECT_MAT_NEAR(dst_roi[i], gdst_roi[i], 0.0);
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// }
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// }
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//}
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OCL_INSTANTIATE_TEST_CASE_P(SplitMerge, Merge, Combine(OCL_ALL_DEPTHS, OCL_ALL_CHANNELS, Bool()));
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//INSTANTIATE_TEST_CASE_P(SplitMerge, Split , Combine(
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// Values(CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F), Values(1, 2, 3, 4), Bool()));
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} } // namespace cvtest::ocl
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