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 oclMaterials 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
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "perf_precomp.hpp"
using namespace perf;
using std::tr1::tuple;
using std::tr1::get;
///////////// ConvertTo////////////////////////
CV_ENUM(ConvertToMatType, CV_8UC1, CV_8UC4)
typedef tuple<Size, ConvertToMatType> ConvertToParams;
typedef TestBaseWithParam<ConvertToParams> ConvertToFixture;
PERF_TEST_P(ConvertToFixture, ConvertTo,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
ConvertToMatType::all()))
{
// getting params
ConvertToParams params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
std::string impl = getSelectedImpl();
// creating src data
Mat src(srcSize, type), dst;
const int dstType = CV_MAKE_TYPE(CV_32F, src.channels());
dst.create(srcSize, dstType);
declare.in(src, WARMUP_RNG).out(dst);
// select implementation
if (impl == "ocl")
{
ocl::oclMat oclSrc(src), oclDst(srcSize, dstType);
TEST_CYCLE() oclSrc.convertTo(oclDst, dstType);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (impl == "plain")
{
TEST_CYCLE() src.convertTo(dst, dstType);
SANITY_CHECK(dst);
}
#ifdef HAVE_OPENCV_GPU
else if (impl == "gpu")
CV_TEST_FAIL_NO_IMPL();
#endif
else
CV_TEST_FAIL_NO_IMPL();
}
///////////// copyTo////////////////////////
typedef ConvertToMatType copyToMatType;
typedef tuple<Size, copyToMatType> copyToParams;
typedef TestBaseWithParam<copyToParams> copyToFixture;
PERF_TEST_P(copyToFixture, copyTo,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
copyToMatType::all()))
{
// getting params
copyToParams params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
std::string impl = getSelectedImpl();
// creating src data
Mat src(srcSize, type), dst(srcSize, type);
declare.in(src, WARMUP_RNG).out(dst);
// select implementation
if (impl == "ocl")
{
ocl::oclMat oclSrc(src), oclDst(srcSize, type);
TEST_CYCLE() oclSrc.copyTo(oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (impl == "plain")
{
TEST_CYCLE() src.copyTo(dst);
SANITY_CHECK(dst);
}
#ifdef HAVE_OPENCV_GPU
else if (impl == "gpu")
CV_TEST_FAIL_NO_IMPL();
#endif
else
CV_TEST_FAIL_NO_IMPL();
}
///////////// setTo////////////////////////
typedef ConvertToMatType setToMatType;
typedef tuple<Size, setToMatType> setToParams;
typedef TestBaseWithParam<setToParams> setToFixture;
PERF_TEST_P(setToFixture, setTo,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
setToMatType::all()))
{
// getting params
setToParams params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
const Scalar val(1, 2, 3, 4);
std::string impl = getSelectedImpl();
// creating src data
Mat src(srcSize, type);
declare.in(src);
// select implementation
if (impl == "ocl")
{
ocl::oclMat oclSrc(srcSize, type);
TEST_CYCLE() oclSrc.setTo(val);
oclSrc.download(src);
SANITY_CHECK(src);
}
else if (impl == "plain")
{
TEST_CYCLE() src.setTo(val);
SANITY_CHECK(src);
}
#ifdef HAVE_OPENCV_GPU
else if (impl == "gpu")
CV_TEST_FAIL_NO_IMPL();
#endif
else
CV_TEST_FAIL_NO_IMPL();
}