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Open Source Computer Vision Library
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210 lines
7.6 KiB
210 lines
7.6 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. |
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// Copyright (C) 2010-2012, 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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// @Authors |
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// Fangfang Bai, fangfang@multicorewareinc.com |
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// Jin Ma, jin@multicorewareinc.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 "perf_precomp.hpp" |
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#include "opencv2/ts/ocl_perf.hpp" |
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#ifdef HAVE_OPENCL |
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namespace cvtest { |
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namespace ocl { |
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///////////// WarpAffine //////////////////////// |
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CV_ENUM(InterType, INTER_NEAREST, INTER_LINEAR) |
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typedef tuple<Size, MatType, InterType> WarpAffineParams; |
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typedef TestBaseWithParam<WarpAffineParams> WarpAffineFixture; |
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OCL_PERF_TEST_P(WarpAffineFixture, WarpAffine, |
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, InterType::all())) |
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{ |
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static const double coeffs[2][3] = |
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{ |
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{ cos(CV_PI / 6), -sin(CV_PI / 6), 100.0 }, |
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{ sin(CV_PI / 6), cos(CV_PI / 6) , -100.0 } |
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}; |
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Mat M(2, 3, CV_64F, (void *)coeffs); |
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const WarpAffineParams params = GetParam(); |
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const Size srcSize = get<0>(params); |
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const int type = get<1>(params), interpolation = get<2>(params); |
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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4; |
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checkDeviceMaxMemoryAllocSize(srcSize, type); |
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UMat src(srcSize, type), dst(srcSize, type); |
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declare.in(src, WARMUP_RNG).out(dst); |
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OCL_TEST_CYCLE() cv::warpAffine(src, dst, M, srcSize, interpolation); |
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SANITY_CHECK(dst, eps); |
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} |
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///////////// WarpPerspective //////////////////////// |
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typedef WarpAffineParams WarpPerspectiveParams; |
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typedef TestBaseWithParam<WarpPerspectiveParams> WarpPerspectiveFixture; |
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OCL_PERF_TEST_P(WarpPerspectiveFixture, WarpPerspective, |
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, InterType::all())) |
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{ |
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static const double coeffs[3][3] = |
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{ |
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{cos(CV_PI / 6), -sin(CV_PI / 6), 100.0}, |
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{sin(CV_PI / 6), cos(CV_PI / 6), -100.0}, |
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{0.0, 0.0, 1.0} |
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}; |
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Mat M(3, 3, CV_64F, (void *)coeffs); |
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const WarpPerspectiveParams params = GetParam(); |
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const Size srcSize = get<0>(params); |
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const int type = get<1>(params), interpolation = get<2>(params); |
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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4; |
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checkDeviceMaxMemoryAllocSize(srcSize, type); |
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UMat src(srcSize, type), dst(srcSize, type); |
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declare.in(src, WARMUP_RNG).out(dst); |
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OCL_TEST_CYCLE() cv::warpPerspective(src, dst, M, srcSize, interpolation); |
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SANITY_CHECK(dst, eps); |
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} |
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///////////// Resize //////////////////////// |
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typedef tuple<Size, MatType, InterType, double> ResizeParams; |
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typedef TestBaseWithParam<ResizeParams> ResizeFixture; |
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OCL_PERF_TEST_P(ResizeFixture, Resize, |
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, |
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InterType::all(), ::testing::Values(0.5, 2.0))) |
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{ |
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const ResizeParams params = GetParam(); |
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const Size srcSize = get<0>(params); |
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const int type = get<1>(params), interType = get<2>(params); |
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double scale = get<3>(params); |
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const Size dstSize(cvRound(srcSize.width * scale), cvRound(srcSize.height * scale)); |
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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4; |
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checkDeviceMaxMemoryAllocSize(srcSize, type); |
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checkDeviceMaxMemoryAllocSize(dstSize, type); |
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UMat src(srcSize, type), dst(dstSize, type); |
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declare.in(src, WARMUP_RNG).out(dst); |
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OCL_TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, interType); |
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SANITY_CHECK(dst, eps); |
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} |
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typedef tuple<Size, MatType, double> ResizeAreaParams; |
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typedef TestBaseWithParam<ResizeAreaParams> ResizeAreaFixture; |
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OCL_PERF_TEST_P(ResizeAreaFixture, Resize, |
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, ::testing::Values(0.3, 0.5, 0.6))) |
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{ |
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const ResizeAreaParams params = GetParam(); |
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const Size srcSize = get<0>(params); |
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const int type = get<1>(params); |
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double scale = get<2>(params); |
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const Size dstSize(cvRound(srcSize.width * scale), cvRound(srcSize.height * scale)); |
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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4; |
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checkDeviceMaxMemoryAllocSize(srcSize, type); |
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checkDeviceMaxMemoryAllocSize(dstSize, type); |
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UMat src(srcSize, type), dst(dstSize, type); |
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declare.in(src, WARMUP_RNG).out(dst); |
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OCL_TEST_CYCLE() cv::resize(src, dst, Size(), scale, scale, cv::INTER_AREA); |
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SANITY_CHECK(dst, eps); |
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} |
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///////////// Remap //////////////////////// |
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typedef tuple<Size, MatType, InterType> RemapParams; |
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typedef TestBaseWithParam<RemapParams> RemapFixture; |
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OCL_PERF_TEST_P(RemapFixture, Remap, |
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES_134, InterType::all())) |
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{ |
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const RemapParams params = GetParam(); |
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const Size srcSize = get<0>(params); |
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const int type = get<1>(params), interpolation = get<2>(params), borderMode = BORDER_CONSTANT; |
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const double eps = CV_MAT_DEPTH(type) <= CV_32S ? 1 : 1e-4; |
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checkDeviceMaxMemoryAllocSize(srcSize, type); |
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UMat src(srcSize, type), dst(srcSize, type); |
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UMat xmap(srcSize, CV_32FC1), ymap(srcSize, CV_32FC1); |
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{ |
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Mat _xmap = xmap.getMat(ACCESS_WRITE), _ymap = ymap.getMat(ACCESS_WRITE); |
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for (int i = 0; i < srcSize.height; ++i) |
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{ |
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float * const xmap_row = _xmap.ptr<float>(i); |
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float * const ymap_row = _ymap.ptr<float>(i); |
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for (int j = 0; j < srcSize.width; ++j) |
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{ |
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xmap_row[j] = (j - srcSize.width * 0.5f) * 0.75f + srcSize.width * 0.5f; |
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ymap_row[j] = (i - srcSize.height * 0.5f) * 0.75f + srcSize.height * 0.5f; |
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} |
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} |
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} |
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declare.in(src, WARMUP_RNG).in(xmap, ymap, WARMUP_READ).out(dst); |
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OCL_TEST_CYCLE() cv::remap(src, dst, xmap, ymap, interpolation, borderMode); |
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SANITY_CHECK(dst, eps); |
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} |
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} } // namespace cvtest::ocl |
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#endif // HAVE_OPENCL
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