Open Source Computer Vision Library https://opencv.org/
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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
// Copyright (C) 2014, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
#include "../perf_precomp.hpp"
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
///////////// 3 channels Vs 4 ////////////////////////
enum
{
Pure = 0, Split, Convert
};
CV_ENUM(Modes, Pure, Split, Convert)
typedef tuple <Size, MatType, Modes> _3vs4Params;
typedef TestBaseWithParam<_3vs4Params> _3vs4_Fixture;
OCL_PERF_TEST_P(_3vs4_Fixture, Resize,
::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC3, CV_32FC3), Modes::all()))
{
_3vs4Params params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params), depth = CV_MAT_DEPTH(type);
const int mode = get<2>(params);
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src(srcSize, type), dst(srcSize, type);
declare.in(src, WARMUP_RNG).out(dst);
if (mode == Pure)
{
OCL_TEST_CYCLE() resize(src, dst, Size(), 0.5, 0.5, INTER_LINEAR);
}
else if (mode == Split)
{
std::vector<UMat> srcs(3), dsts(3);
for (int i = 0; i < 3; ++i)
{
dsts[i] = UMat(srcSize, depth);
srcs[i] = UMat(srcSize, depth);
}
OCL_TEST_CYCLE()
{
split(src, srcs);
for (size_t i = 0; i < srcs.size(); ++i)
resize(srcs[i], dsts[i], Size(), 0.5, 0.5, INTER_LINEAR);
merge(dsts, dst);
}
}
else if (mode == Convert)
{
int type4 = CV_MAKE_TYPE(depth, 4);
UMat src4(srcSize, type4), dst4(srcSize, type4);
OCL_TEST_CYCLE()
{
cvtColor(src, src4, COLOR_RGB2RGBA);
resize(src4, dst4, Size(), 0.5, 0.5, INTER_LINEAR);
cvtColor(dst4, dst, COLOR_RGBA2RGB);
}
}
SANITY_CHECK_NOTHING();
}
OCL_PERF_TEST_P(_3vs4_Fixture, Subtract,
::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC3, CV_32FC3), Modes::all()))
{
_3vs4Params params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params), depth = CV_MAT_DEPTH(type);
const int mode = get<2>(params);
checkDeviceMaxMemoryAllocSize(srcSize, type);
Scalar s(14);
UMat src(srcSize, type), dst(srcSize, type);
declare.in(src, WARMUP_RNG).out(dst);
if (mode == Pure)
{
OCL_TEST_CYCLE() subtract(src, s, dst);
}
else if (mode == Split)
{
std::vector<UMat> srcs(3), dsts(3);
for (int i = 0; i < 3; ++i)
{
dsts[i] = UMat(srcSize, depth);
srcs[i] = UMat(srcSize, depth);
}
OCL_TEST_CYCLE()
{
split(src, srcs);
for (size_t i = 0; i < srcs.size(); ++i)
subtract(srcs[i], s, dsts[i]);
merge(dsts, dst);
}
}
else if (mode == Convert)
{
int type4 = CV_MAKE_TYPE(depth, 4);
UMat src4(srcSize, type4), dst4(srcSize, type4);
OCL_TEST_CYCLE()
{
cvtColor(src, src4, COLOR_RGB2RGBA);
subtract(src4, s, dst4);
cvtColor(dst4, dst, COLOR_RGBA2RGB);
}
}
SANITY_CHECK_NOTHING();
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL