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617 lines
16 KiB
C++
617 lines
16 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, Institute Of Software Chinese Academy Of Science, 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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// Jia Haipeng, jiahaipeng95@gmail.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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#ifdef HAVE_OPENCL
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using namespace cvtest;
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using namespace testing;
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using namespace std;
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using namespace cv::ocl;
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////////////////////////////////converto/////////////////////////////////////////////////
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PARAM_TEST_CASE(ConvertToTestBase, MatType, MatType)
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{
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int type;
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int dst_type;
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//src mat
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cv::Mat mat;
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cv::Mat dst;
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// set up roi
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int roicols;
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int roirows;
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int srcx;
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int srcy;
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int dstx;
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int dsty;
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//src mat with roi
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cv::Mat mat_roi;
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cv::Mat dst_roi;
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std::vector<cv::ocl::Info> oclinfo;
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//ocl dst mat for testing
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cv::ocl::oclMat gdst_whole;
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//ocl mat with roi
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cv::ocl::oclMat gmat;
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cv::ocl::oclMat gdst;
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virtual void SetUp()
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{
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type = GET_PARAM(0);
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dst_type = GET_PARAM(1);
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cv::RNG& rng = TS::ptr()->get_rng();
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cv::Size size(MWIDTH, MHEIGHT);
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mat = randomMat(rng, size, type, 5, 16, false);
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dst = randomMat(rng, size, type, 5, 16, false);
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int devnums = getDevice(oclinfo);
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CV_Assert(devnums > 0);
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//if you want to use undefault device, set it here
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//setDevice(oclinfo[0]);
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setBinpath(CLBINPATH);
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}
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void Has_roi(int b)
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{
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//cv::RNG& rng = TS::ptr()->get_rng();
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if(b)
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{
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//randomize ROI
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roicols = mat.cols-1; //start
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roirows = mat.rows-1;
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srcx = 1;
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srcy = 1;
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dstx = 1;
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dsty =1;
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}else
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{
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roicols = mat.cols;
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roirows = mat.rows;
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srcx = 0;
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srcy = 0;
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dstx = 0;
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dsty = 0;
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};
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mat_roi = mat(Rect(srcx,srcy,roicols,roirows));
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dst_roi = dst(Rect(dstx,dsty,roicols,roirows));
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//gdst_whole = dst;
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//gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
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//gmat = mat_roi;
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}
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};
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struct ConvertTo :ConvertToTestBase {};
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TEST_P(ConvertTo, Accuracy)
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{
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#ifndef PRINT_KERNEL_RUN_TIME
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double totalcputick=0;
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double totalgputick=0;
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double totalgputick_kernel=0;
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double t0=0;
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double t1=0;
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double t2=0;
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for(int k=0;k<2;k++){
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totalcputick=0;
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totalgputick=0;
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totalgputick_kernel=0;
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for(int j = 0; j < LOOP_TIMES+1; j ++)
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{
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Has_roi(k);
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t0 = (double)cvGetTickCount();//cpu start
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mat_roi.convertTo(dst_roi, dst_type);
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t0 = (double)cvGetTickCount() - t0;//cpu end
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t1 = (double)cvGetTickCount();//gpu start1
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gdst_whole = dst;
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gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
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gmat = mat_roi;
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t2=(double)cvGetTickCount();//kernel
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gmat.convertTo(gdst, dst_type);
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t2 = (double)cvGetTickCount() - t2;//kernel
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cv::Mat cpu_dst;
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gdst_whole.download (cpu_dst);//download
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t1 = (double)cvGetTickCount() - t1;//gpu end1
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if(j == 0)
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continue;
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totalgputick=t1+totalgputick;
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totalcputick=t0+totalcputick;
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totalgputick_kernel=t2+totalgputick_kernel;
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}
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if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
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cout << "average cpu runtime is " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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}
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#else
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for(int j = 0; j < 2; j ++)
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{
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Has_roi(j);
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gdst_whole = dst;
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gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
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gmat = mat_roi;
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if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
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gmat.convertTo(gdst, dst_type);
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};
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#endif
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}
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///////////////////////////////////////////copyto/////////////////////////////////////////////////////////////
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PARAM_TEST_CASE(CopyToTestBase, MatType, bool)
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{
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int type;
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cv::Mat mat;
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cv::Mat mask;
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cv::Mat dst;
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// set up roi
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int roicols;
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int roirows;
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int srcx;
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int srcy;
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int dstx;
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int dsty;
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int maskx;
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int masky;
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//src mat with roi
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cv::Mat mat_roi;
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cv::Mat mask_roi;
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cv::Mat dst_roi;
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std::vector<cv::ocl::Info> oclinfo;
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//ocl dst mat for testing
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cv::ocl::oclMat gdst_whole;
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//ocl mat with roi
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cv::ocl::oclMat gmat;
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cv::ocl::oclMat gdst;
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cv::ocl::oclMat gmask;
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virtual void SetUp()
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{
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type = GET_PARAM(0);
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cv::RNG& rng = TS::ptr()->get_rng();
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cv::Size size(MWIDTH, MHEIGHT);
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mat = randomMat(rng, size, type, 5, 16, false);
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dst = randomMat(rng, size, type, 5, 16, false);
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mask = randomMat(rng, size, CV_8UC1, 0, 2, false);
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cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
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int devnums = getDevice(oclinfo);
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CV_Assert(devnums > 0);
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//if you want to use undefault device, set it here
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//setDevice(oclinfo[0]);
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setBinpath(CLBINPATH);
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}
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void Has_roi(int b)
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{
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//cv::RNG& rng = TS::ptr()->get_rng();
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if(b)
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{
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//randomize ROI
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roicols = mat.cols-1; //start
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roirows = mat.rows-1;
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srcx = 1;
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srcy = 1;
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dstx = 1;
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dsty =1;
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maskx = 1;
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masky = 1;
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}else
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{
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roicols = mat.cols;
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roirows = mat.rows;
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srcx = 0;
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srcy = 0;
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dstx = 0;
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dsty = 0;
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maskx = 0;
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masky = 0;
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};
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mat_roi = mat(Rect(srcx,srcy,roicols,roirows));
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mask_roi = mask(Rect(maskx,masky,roicols,roirows));
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dst_roi = dst(Rect(dstx,dsty,roicols,roirows));
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//gdst_whole = dst;
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//gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
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//gmat = mat_roi;
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//gmask = mask_roi;
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}
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};
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struct CopyTo :CopyToTestBase {};
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TEST_P(CopyTo, Without_mask)
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{
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#ifndef PRINT_KERNEL_RUN_TIME
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double totalcputick=0;
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double totalgputick=0;
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double totalgputick_kernel=0;
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double t0=0;
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double t1=0;
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double t2=0;
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for(int k=0;k<2;k++){
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totalcputick=0;
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totalgputick=0;
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totalgputick_kernel=0;
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for(int j = 0; j < LOOP_TIMES+1; j ++)
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{
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Has_roi(k);
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t0 = (double)cvGetTickCount();//cpu start
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mat_roi.copyTo(dst_roi);
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t0 = (double)cvGetTickCount() - t0;//cpu end
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t1 = (double)cvGetTickCount();//gpu start1
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gdst_whole = dst;
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gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
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gmat = mat_roi;
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t2=(double)cvGetTickCount();//kernel
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gmat.copyTo(gdst);
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t2 = (double)cvGetTickCount() - t2;//kernel
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cv::Mat cpu_dst;
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gdst_whole.download (cpu_dst);//download
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t1 = (double)cvGetTickCount() - t1;//gpu end1
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if(j == 0)
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continue;
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totalgputick=t1+totalgputick;
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totalcputick=t0+totalcputick;
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totalgputick_kernel=t2+totalgputick_kernel;
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}
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if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
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cout << "average cpu runtime is " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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}
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#else
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for(int j = 0; j < 2; j ++)
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{
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Has_roi(j);
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gdst_whole = dst;
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gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
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gmat = mat_roi;
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if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
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gmat.copyTo(gdst);
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};
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#endif
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}
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TEST_P(CopyTo, With_mask)
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{
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#ifndef PRINT_KERNEL_RUN_TIME
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double totalcputick=0;
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double totalgputick=0;
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double totalgputick_kernel=0;
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double t0=0;
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double t1=0;
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double t2=0;
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for(int k=0;k<2;k++){
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totalcputick=0;
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totalgputick=0;
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totalgputick_kernel=0;
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for(int j = 0; j < LOOP_TIMES+1; j ++)
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{
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Has_roi(k);
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t0 = (double)cvGetTickCount();//cpu start
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mat_roi.copyTo(dst_roi,mask_roi);
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t0 = (double)cvGetTickCount() - t0;//cpu end
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t1 = (double)cvGetTickCount();//gpu start1
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gdst_whole = dst;
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gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
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gmat = mat_roi;
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gmask = mask_roi;
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t2=(double)cvGetTickCount();//kernel
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gmat.copyTo(gdst, gmask);
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t2 = (double)cvGetTickCount() - t2;//kernel
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cv::Mat cpu_dst;
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gdst_whole.download (cpu_dst);//download
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t1 = (double)cvGetTickCount() - t1;//gpu end1
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if(j == 0)
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continue;
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totalgputick=t1+totalgputick;
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totalcputick=t0+totalcputick;
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totalgputick_kernel=t2+totalgputick_kernel;
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}
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if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
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cout << "average cpu runtime is " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
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}
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#else
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for(int j = 0; j < 2; j ++)
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{
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Has_roi(j);
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gdst_whole = dst;
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gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
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gmat = mat_roi;
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gmask = mask_roi;
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if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
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gmat.copyTo(gdst, gmask);
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};
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#endif
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}
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///////////////////////////////////////////copyto/////////////////////////////////////////////////////////////
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PARAM_TEST_CASE(SetToTestBase, MatType, bool)
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{
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int type;
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cv::Scalar val;
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cv::Mat mat;
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cv::Mat mask;
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// set up roi
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int roicols;
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int roirows;
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int srcx;
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int srcy;
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int maskx;
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int masky;
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//src mat with roi
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cv::Mat mat_roi;
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cv::Mat mask_roi;
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std::vector<cv::ocl::Info> oclinfo;
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//ocl dst mat for testing
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cv::ocl::oclMat gmat_whole;
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//ocl mat with roi
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cv::ocl::oclMat gmat;
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cv::ocl::oclMat gmask;
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virtual void SetUp()
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{
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type = GET_PARAM(0);
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cv::RNG& rng = TS::ptr()->get_rng();
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cv::Size size(MWIDTH, MHEIGHT);
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mat = randomMat(rng, size, type, 5, 16, false);
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mask = randomMat(rng, size, CV_8UC1, 0, 2, false);
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cv::threshold(mask, mask, 0.5, 255., CV_8UC1);
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val = cv::Scalar(rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0), rng.uniform(-10.0, 10.0));
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int devnums = getDevice(oclinfo);
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CV_Assert(devnums > 0);
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//if you want to use undefault device, set it here
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//setDevice(oclinfo[0]);
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setBinpath(CLBINPATH);
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}
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void Has_roi(int b)
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{
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//cv::RNG& rng = TS::ptr()->get_rng();
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if(b)
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{
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//randomize ROI
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roicols = mat.cols-1; //start
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roirows = mat.rows-1;
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srcx = 1;
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srcy = 1;
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maskx = 1;
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masky = 1;
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}else
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{
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roicols = mat.cols;
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roirows = mat.rows;
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srcx = 0;
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srcy = 0;
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maskx = 0;
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masky = 0;
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};
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mat_roi = mat(Rect(srcx,srcy,roicols,roirows));
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mask_roi = mask(Rect(maskx,masky,roicols,roirows));
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//gmat_whole = mat;
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//gmat = gmat_whole(Rect(srcx,srcy,roicols,roirows));
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//gmask = mask_roi;
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}
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};
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struct SetTo :SetToTestBase {};
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TEST_P(SetTo, Without_mask)
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{
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#ifndef PRINT_KERNEL_RUN_TIME
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double totalcputick=0;
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double totalgputick=0;
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double totalgputick_kernel=0;
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double t0=0;
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double t1=0;
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double t2=0;
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for(int k=0;k<2;k++){
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totalcputick=0;
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totalgputick=0;
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totalgputick_kernel=0;
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for(int j = 0; j < LOOP_TIMES+1; j ++)
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{
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Has_roi(k);
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t0 = (double)cvGetTickCount();//cpu start
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mat_roi.setTo(val);
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|
t0 = (double)cvGetTickCount() - t0;//cpu end
|
|
|
|
t1 = (double)cvGetTickCount();//gpu start1
|
|
gmat_whole = mat;
|
|
gmat = gmat_whole(Rect(srcx,srcy,roicols,roirows));
|
|
t2=(double)cvGetTickCount();//kernel
|
|
gmat.setTo(val);
|
|
t2 = (double)cvGetTickCount() - t2;//kernel
|
|
cv::Mat cpu_dst;
|
|
gmat_whole.download(cpu_dst);//download
|
|
t1 = (double)cvGetTickCount() - t1;//gpu end1
|
|
if(j == 0)
|
|
continue;
|
|
totalgputick=t1+totalgputick;
|
|
totalcputick=t0+totalcputick;
|
|
totalgputick_kernel=t2+totalgputick_kernel;
|
|
|
|
}
|
|
if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
|
|
cout << "average cpu runtime is " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
|
|
cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
|
|
cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
|
|
}
|
|
#else
|
|
for(int j = 0; j < 2; j ++)
|
|
{
|
|
Has_roi(j);
|
|
gmat_whole = mat;
|
|
gmat = gmat_whole(Rect(srcx,srcy,roicols,roirows));
|
|
|
|
if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
|
|
gmat.setTo(val);
|
|
};
|
|
#endif
|
|
}
|
|
|
|
TEST_P(SetTo, With_mask)
|
|
{
|
|
#ifndef PRINT_KERNEL_RUN_TIME
|
|
double totalcputick=0;
|
|
double totalgputick=0;
|
|
double totalgputick_kernel=0;
|
|
double t0=0;
|
|
double t1=0;
|
|
double t2=0;
|
|
for(int k=0;k<2;k++){
|
|
totalcputick=0;
|
|
totalgputick=0;
|
|
totalgputick_kernel=0;
|
|
for(int j = 0; j < LOOP_TIMES+1; j ++)
|
|
{
|
|
Has_roi(k);
|
|
|
|
t0 = (double)cvGetTickCount();//cpu start
|
|
mat_roi.setTo(val, mask_roi);
|
|
t0 = (double)cvGetTickCount() - t0;//cpu end
|
|
|
|
t1 = (double)cvGetTickCount();//gpu start1
|
|
gmat_whole = mat;
|
|
gmat = gmat_whole(Rect(srcx,srcy,roicols,roirows));
|
|
|
|
gmask = mask_roi;
|
|
t2=(double)cvGetTickCount();//kernel
|
|
gmat.setTo(val, gmask);
|
|
t2 = (double)cvGetTickCount() - t2;//kernel
|
|
cv::Mat cpu_dst;
|
|
gmat_whole.download(cpu_dst);//download
|
|
t1 = (double)cvGetTickCount() - t1;//gpu end1
|
|
if(j == 0)
|
|
continue;
|
|
totalgputick=t1+totalgputick;
|
|
totalcputick=t0+totalcputick;
|
|
totalgputick_kernel=t2+totalgputick_kernel;
|
|
|
|
}
|
|
if(k==0){cout<<"no roi\n";}else{cout<<"with roi\n";};
|
|
cout << "average cpu runtime is " << totalcputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
|
|
cout << "average gpu runtime is " << totalgputick/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
|
|
cout << "average gpu runtime without data transfer is " << totalgputick_kernel/((double)cvGetTickFrequency()* LOOP_TIMES *1000.) << "ms" << endl;
|
|
}
|
|
#else
|
|
for(int j = 0; j < 2; j ++)
|
|
{
|
|
Has_roi(j);
|
|
gmat_whole = mat;
|
|
gmat = gmat_whole(Rect(srcx,srcy,roicols,roirows));
|
|
|
|
gmask = mask_roi;
|
|
|
|
if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
|
|
gmat.setTo(val, gmask);
|
|
};
|
|
#endif
|
|
}
|
|
|
|
//**********test************
|
|
|
|
INSTANTIATE_TEST_CASE_P(MatrixOperation, ConvertTo, Combine(
|
|
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
|
|
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4)));
|
|
|
|
INSTANTIATE_TEST_CASE_P(MatrixOperation, CopyTo, Combine(
|
|
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
|
|
Values(false))); // Values(false) is the reserved parameter
|
|
|
|
INSTANTIATE_TEST_CASE_P(MatrixOperation, SetTo, Combine(
|
|
Values(CV_8UC1, CV_8UC4, CV_32FC1, CV_32FC4),
|
|
Values(false))); // Values(false) is the reserved parameter
|
|
#endif
|