Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors as is and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
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//
//M*/
#include "perf_precomp.hpp"
using namespace perf;
using std::tr1::tuple;
using std::tr1::get;
///////////// Merge////////////////////////
typedef tuple<Size, MatDepth, int> MergeParams;
typedef TestBaseWithParam<MergeParams> MergeFixture;
OCL_PERF_TEST_P(MergeFixture, Merge,
::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8U, CV_32F),
OCL_PERF_ENUM(2, 3)))
{
const MergeParams params = GetParam();
const Size srcSize = get<0>(params);
const int depth = get<1>(params), cn = get<2>(params),
dtype = CV_MAKE_TYPE(depth, cn);
checkDeviceMaxMemoryAllocSize(srcSize, dtype);
Mat dst(srcSize, dtype);
vector<Mat> src(cn);
for (vector<Mat>::iterator i = src.begin(), end = src.end(); i != end; ++i)
{
i->create(srcSize, CV_MAKE_TYPE(depth, 1));
declare.in(*i, WARMUP_RNG);
}
declare.out(dst);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclDst(srcSize, dtype);
vector<ocl::oclMat> oclSrc(src.size());
for (vector<ocl::oclMat>::size_type i = 0, end = src.size(); i < end; ++i)
oclSrc[i] = src[i];
OCL_TEST_CYCLE() cv::ocl::merge(oclSrc, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::merge(src, dst);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// Split////////////////////////
typedef MergeParams SplitParams;
typedef TestBaseWithParam<SplitParams> SplitFixture;
OCL_PERF_TEST_P(SplitFixture, Split,
::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8U, CV_32F),
OCL_PERF_ENUM(2, 3)))
{
const SplitParams params = GetParam();
const Size srcSize = get<0>(params);
const int depth = get<1>(params), cn = get<2>(params);
const int type = CV_MAKE_TYPE(depth, cn);
checkDeviceMaxMemoryAllocSize(srcSize, type);
Mat src(srcSize, type);
Mat dst0, dst1, dst2;
declare.in(src, WARMUP_RNG);
ASSERT_TRUE(cn == 3 || cn == 2);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src);
vector<ocl::oclMat> oclDst(cn);
oclDst[0] = ocl::oclMat(srcSize, depth);
oclDst[1] = ocl::oclMat(srcSize, depth);
if (cn == 3)
oclDst[2] = ocl::oclMat(srcSize, depth);
OCL_TEST_CYCLE() cv::ocl::split(oclSrc, oclDst);
oclDst[0].download(dst0);
oclDst[1].download(dst1);
if (cn == 3)
oclDst[2].download(dst2);
}
else if (RUN_PLAIN_IMPL)
{
vector<Mat> dst(cn);
dst[0] = Mat(srcSize, depth);
dst[1] = Mat(srcSize, depth);
if (cn == 3)
dst[2] = Mat(srcSize, depth);
TEST_CYCLE() cv::split(src, dst);
dst0 = dst[0];
dst1 = dst[1];
if (cn == 3)
dst2 = dst[2];
}
else
OCL_PERF_ELSE
if (cn == 2)
{
SANITY_CHECK(dst0);
SANITY_CHECK(dst1);
}
else if (cn == 3)
{
SANITY_CHECK(dst0);
SANITY_CHECK(dst1);
SANITY_CHECK(dst2);
}
}