|
|
|
/*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 "precomp.hpp"
|
|
|
|
|
|
|
|
///////////// Merge////////////////////////
|
|
|
|
PERFTEST(Merge)
|
|
|
|
{
|
|
|
|
Mat dst, ocl_dst;
|
|
|
|
ocl::oclMat d_dst;
|
|
|
|
|
|
|
|
int channels = 4;
|
|
|
|
int all_type[] = {CV_8UC1, CV_32FC1};
|
|
|
|
std::string type_name[] = {"CV_8UC1", "CV_32FC1"};
|
|
|
|
|
|
|
|
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
|
|
|
|
{
|
|
|
|
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
|
|
|
|
{
|
|
|
|
SUBTEST << size << 'x' << size << "; " << type_name[j] ;
|
|
|
|
Size size1 = Size(size, size);
|
|
|
|
std::vector<Mat> src(channels);
|
|
|
|
|
|
|
|
for (int i = 0; i < channels; ++i)
|
|
|
|
{
|
|
|
|
src[i] = Mat(size1, all_type[j], cv::Scalar::all(i));
|
|
|
|
}
|
|
|
|
|
|
|
|
merge(src, dst);
|
|
|
|
|
|
|
|
CPU_ON;
|
|
|
|
merge(src, dst);
|
|
|
|
CPU_OFF;
|
|
|
|
|
|
|
|
std::vector<ocl::oclMat> d_src(channels);
|
|
|
|
|
|
|
|
for (int i = 0; i < channels; ++i)
|
|
|
|
{
|
|
|
|
d_src[i] = ocl::oclMat(size1, all_type[j], cv::Scalar::all(i));
|
|
|
|
}
|
|
|
|
|
|
|
|
WARMUP_ON;
|
|
|
|
ocl::merge(d_src, d_dst);
|
|
|
|
WARMUP_OFF;
|
|
|
|
|
|
|
|
GPU_ON;
|
|
|
|
ocl::merge(d_src, d_dst);
|
|
|
|
GPU_OFF;
|
|
|
|
|
|
|
|
GPU_FULL_ON;
|
|
|
|
for (int i = 0; i < channels; ++i)
|
|
|
|
{
|
|
|
|
d_src[i] = ocl::oclMat(size1, all_type[j], cv::Scalar::all(i));
|
|
|
|
}
|
|
|
|
ocl::merge(d_src, d_dst);
|
|
|
|
d_dst.download(ocl_dst);
|
|
|
|
GPU_FULL_OFF;
|
|
|
|
|
|
|
|
TestSystem::instance().ExpectedMatNear(dst, ocl_dst, 0.0);
|
|
|
|
}
|
|
|
|
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
///////////// Split////////////////////////
|
|
|
|
PERFTEST(Split)
|
|
|
|
{
|
|
|
|
//int channels = 4;
|
|
|
|
int all_type[] = {CV_8UC1, CV_32FC1};
|
|
|
|
std::string type_name[] = {"CV_8UC1", "CV_32FC1"};
|
|
|
|
|
|
|
|
for (int size = Min_Size; size <= Max_Size; size *= Multiple)
|
|
|
|
{
|
|
|
|
for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
|
|
|
|
{
|
|
|
|
SUBTEST << size << 'x' << size << "; " << type_name[j];
|
|
|
|
Size size1 = Size(size, size);
|
|
|
|
|
|
|
|
Mat src(size1, CV_MAKE_TYPE(all_type[j], 4), cv::Scalar(1, 2, 3, 4));
|
|
|
|
|
|
|
|
std::vector<cv::Mat> dst, ocl_dst(4);
|
|
|
|
|
|
|
|
split(src, dst);
|
|
|
|
|
|
|
|
CPU_ON;
|
|
|
|
split(src, dst);
|
|
|
|
CPU_OFF;
|
|
|
|
|
|
|
|
ocl::oclMat d_src(size1, CV_MAKE_TYPE(all_type[j], 4), cv::Scalar(1, 2, 3, 4));
|
|
|
|
std::vector<cv::ocl::oclMat> d_dst;
|
|
|
|
|
|
|
|
WARMUP_ON;
|
|
|
|
ocl::split(d_src, d_dst);
|
|
|
|
WARMUP_OFF;
|
|
|
|
|
|
|
|
GPU_ON;
|
|
|
|
ocl::split(d_src, d_dst);
|
|
|
|
GPU_OFF;
|
|
|
|
|
|
|
|
GPU_FULL_ON;
|
|
|
|
d_src.upload(src);
|
|
|
|
ocl::split(d_src, d_dst);
|
|
|
|
for(size_t i = 0; i < dst.size(); i++)
|
|
|
|
d_dst[i].download(ocl_dst[i]);
|
|
|
|
GPU_FULL_OFF;
|
|
|
|
|
|
|
|
vector<double> eps(4, 0.);
|
|
|
|
TestSystem::instance().ExpectMatsNear(dst, ocl_dst, eps);
|
|
|
|
}
|
|
|
|
|
|
|
|
}
|
|
|
|
}
|