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Open Source Computer Vision Library
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146 lines
4.9 KiB
146 lines
4.9 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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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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checkDeviceMaxMemoryAllocSize(srcSize, dstType); |
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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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const int type = CV_MAKE_TYPE(depth, channels); |
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checkDeviceMaxMemoryAllocSize(srcSize, type); |
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Mat src(srcSize, type); |
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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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