opencv/modules/ocl/perf/perf_split_merge.cpp

147 lines
4.9 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
// 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.
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// @Authors
// Fangfang Bai, fangfang@multicorewareinc.com
// Jin Ma, jin@multicorewareinc.com
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#include "perf_precomp.hpp"
using namespace perf;
using std::tr1::tuple;
using std::tr1::get;
///////////// Merge////////////////////////
typedef Size_MatType MergeFixture;
PERF_TEST_P(MergeFixture, Merge,
::testing::Combine(::testing::Values(OCL_SIZE_1000, OCL_SIZE_2000),
OCL_PERF_ENUM(CV_8U, CV_32F)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int depth = get<1>(params), channels = 3;
const int dstType = CV_MAKE_TYPE(depth, channels);
checkDeviceMaxMemoryAllocSize(srcSize, dstType);
Mat dst(srcSize, dstType);
vector<Mat> src(channels);
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, dstType);
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 Size_MatType SplitFixture;
PERF_TEST_P(SplitFixture, Split,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8U, CV_32F)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int depth = get<1>(params), channels = 3;
const int type = CV_MAKE_TYPE(depth, channels);
checkDeviceMaxMemoryAllocSize(srcSize, type);
Mat src(srcSize, type);
declare.in(src, WARMUP_RNG);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src);
vector<ocl::oclMat> oclDst(channels, ocl::oclMat(srcSize, CV_MAKE_TYPE(depth, 1)));
OCL_TEST_CYCLE() cv::ocl::split(oclSrc, oclDst);
ASSERT_EQ(3, channels);
Mat dst0, dst1, dst2;
oclDst[0].download(dst0);
oclDst[1].download(dst1);
oclDst[2].download(dst2);
SANITY_CHECK(dst0);
SANITY_CHECK(dst1);
SANITY_CHECK(dst2);
}
else if (RUN_PLAIN_IMPL)
{
vector<Mat> dst(channels, Mat(srcSize, CV_MAKE_TYPE(depth, 1)));
TEST_CYCLE() cv::split(src, dst);
ASSERT_EQ(3, channels);
Mat & dst0 = dst[0], & dst1 = dst[1], & dst2 = dst[2];
SANITY_CHECK(dst0);
SANITY_CHECK(dst1);
SANITY_CHECK(dst2);
}
else
OCL_PERF_ELSE
}