mirror of
https://github.com/opencv/opencv.git
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142 lines
4.8 KiB
C++
142 lines
4.8 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) 2010-2012, 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 oclMaterials 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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using namespace perf;
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using std::tr1::tuple;
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using std::tr1::get;
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///////////// Merge////////////////////////
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typedef Size_MatType MergeFixture;
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PERF_TEST_P(MergeFixture, Merge,
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::testing::Combine(::testing::Values(OCL_SIZE_1000, OCL_SIZE_2000),
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OCL_PERF_ENUM(CV_8U, CV_32F)))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int depth = get<1>(params), channels = 3;
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const int dstType = CV_MAKE_TYPE(depth, channels);
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Mat dst(srcSize, dstType);
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vector<Mat> src(channels);
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for (vector<Mat>::iterator i = src.begin(), end = src.end(); i != end; ++i)
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{
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i->create(srcSize, CV_MAKE_TYPE(depth, 1));
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declare.in(*i, WARMUP_RNG);
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}
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declare.out(dst);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclDst(srcSize, dstType);
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vector<ocl::oclMat> oclSrc(src.size());
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for (vector<ocl::oclMat>::size_type i = 0, end = src.size(); i < end; ++i)
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oclSrc[i] = src[i];
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OCL_TEST_CYCLE() cv::ocl::merge(oclSrc, oclDst);
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oclDst.download(dst);
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SANITY_CHECK(dst);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() cv::merge(src, dst);
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SANITY_CHECK(dst);
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}
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else
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OCL_PERF_ELSE
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}
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///////////// Split////////////////////////
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typedef Size_MatType SplitFixture;
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PERF_TEST_P(SplitFixture, Split,
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::testing::Combine(OCL_TYPICAL_MAT_SIZES,
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OCL_PERF_ENUM(CV_8U, CV_32F)))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int depth = get<1>(params), channels = 3;
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Mat src(srcSize, CV_MAKE_TYPE(depth, channels));
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declare.in(src, WARMUP_RNG);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src);
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vector<ocl::oclMat> oclDst(channels, ocl::oclMat(srcSize, CV_MAKE_TYPE(depth, 1)));
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OCL_TEST_CYCLE() cv::ocl::split(oclSrc, oclDst);
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ASSERT_EQ(3, channels);
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Mat dst0, dst1, dst2;
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oclDst[0].download(dst0);
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oclDst[1].download(dst1);
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oclDst[2].download(dst2);
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SANITY_CHECK(dst0);
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SANITY_CHECK(dst1);
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SANITY_CHECK(dst2);
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}
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else if (RUN_PLAIN_IMPL)
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{
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vector<Mat> dst(channels, Mat(srcSize, CV_MAKE_TYPE(depth, 1)));
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TEST_CYCLE() cv::split(src, dst);
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ASSERT_EQ(3, channels);
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Mat & dst0 = dst[0], & dst1 = dst[1], & dst2 = dst[2];
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SANITY_CHECK(dst0);
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SANITY_CHECK(dst1);
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SANITY_CHECK(dst2);
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}
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else
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OCL_PERF_ELSE
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}
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