155 lines
5.1 KiB
C++
155 lines
5.1 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Fangfang Bai, fangfang@multicorewareinc.com
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// Jin Ma, jin@multicorewareinc.com
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other oclMaterials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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///////////// Merge////////////////////////
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PERFTEST(Merge)
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{
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Mat dst, ocl_dst;
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ocl::oclMat d_dst;
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int channels = 4;
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int all_type[] = {CV_8UC1, CV_32FC1};
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std::string type_name[] = {"CV_8UC1", "CV_32FC1"};
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for (int size = Min_Size; size <= Max_Size; size *= Multiple)
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{
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for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
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{
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SUBTEST << size << 'x' << size << "; " << type_name[j] ;
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Size size1 = Size(size, size);
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std::vector<Mat> src(channels);
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for (int i = 0; i < channels; ++i)
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{
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src[i] = Mat(size1, all_type[j], cv::Scalar::all(i));
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}
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merge(src, dst);
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CPU_ON;
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merge(src, dst);
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CPU_OFF;
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std::vector<ocl::oclMat> d_src(channels);
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for (int i = 0; i < channels; ++i)
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{
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d_src[i] = ocl::oclMat(size1, all_type[j], cv::Scalar::all(i));
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}
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WARMUP_ON;
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ocl::merge(d_src, d_dst);
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WARMUP_OFF;
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GPU_ON;
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ocl::merge(d_src, d_dst);
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GPU_OFF;
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GPU_FULL_ON;
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for (int i = 0; i < channels; ++i)
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{
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d_src[i] = ocl::oclMat(size1, all_type[j], cv::Scalar::all(i));
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}
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ocl::merge(d_src, d_dst);
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d_dst.download(ocl_dst);
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GPU_FULL_OFF;
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TestSystem::instance().ExpectedMatNear(dst, ocl_dst, 0.0);
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}
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}
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}
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///////////// Split////////////////////////
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PERFTEST(Split)
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{
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//int channels = 4;
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int all_type[] = {CV_8UC1, CV_32FC1};
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std::string type_name[] = {"CV_8UC1", "CV_32FC1"};
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for (int size = Min_Size; size <= Max_Size; size *= Multiple)
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{
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for (size_t j = 0; j < sizeof(all_type) / sizeof(int); j++)
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{
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SUBTEST << size << 'x' << size << "; " << type_name[j];
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Size size1 = Size(size, size);
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Mat src(size1, CV_MAKE_TYPE(all_type[j], 4), cv::Scalar(1, 2, 3, 4));
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std::vector<cv::Mat> dst, ocl_dst(4);
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split(src, dst);
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CPU_ON;
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split(src, dst);
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CPU_OFF;
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ocl::oclMat d_src(size1, CV_MAKE_TYPE(all_type[j], 4), cv::Scalar(1, 2, 3, 4));
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std::vector<cv::ocl::oclMat> d_dst;
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WARMUP_ON;
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ocl::split(d_src, d_dst);
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WARMUP_OFF;
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GPU_ON;
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ocl::split(d_src, d_dst);
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GPU_OFF;
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GPU_FULL_ON;
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d_src.upload(src);
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ocl::split(d_src, d_dst);
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for(size_t i = 0; i < dst.size(); i++)
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d_dst[i].download(ocl_dst[i]);
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GPU_FULL_OFF;
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vector<double> eps(4, 0.);
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TestSystem::instance().ExpectMatsNear(dst, ocl_dst, eps);
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}
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}
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}
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