456 lines
12 KiB
C++
456 lines
12 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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PARAM_TEST_CASE(MergeTestBase, MatType, int)
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{
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int type;
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int channels;
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//src mat
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cv::Mat mat1;
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cv::Mat mat2;
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cv::Mat mat3;
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cv::Mat mat4;
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//dst 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 src1x;
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int src1y;
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int src2x;
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int src2y;
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int src3x;
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int src3y;
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int src4x;
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int src4y;
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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 mat1_roi;
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cv::Mat mat2_roi;
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cv::Mat mat3_roi;
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cv::Mat mat4_roi;
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//dst mat with 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 gmat1;
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cv::ocl::oclMat gmat2;
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cv::ocl::oclMat gmat3;
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cv::ocl::oclMat gmat4;
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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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channels = 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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mat1 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
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mat2 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
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mat3 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
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mat4 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
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dst = randomMat(rng, size, CV_MAKETYPE(type, channels), 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 = mat1.cols-1; //start
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roirows = mat1.rows-1;
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src1x = 1;
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src1y = 1;
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src2x = 1;
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src2y = 1;
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src3x = 1;
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src3y = 1;
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src4x = 1;
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src4y = 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 = mat1.cols;
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roirows = mat1.rows;
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src1x = 0;
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src1y = 0;
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src2x = 0;
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src2y = 0;
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src3x = 0;
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src3y = 0;
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src4x = 0;
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src4y = 0;
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dstx = 0;
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dsty = 0;
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};
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mat1_roi = mat1(Rect(src1x,src1y,roicols,roirows));
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mat2_roi = mat2(Rect(src2x,src2y,roicols,roirows));
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mat3_roi = mat3(Rect(src3x,src3y,roicols,roirows));
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mat4_roi = mat4(Rect(src4x,src4y,roicols,roirows));
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dst_roi = dst(Rect(dstx,dsty,roicols,roirows));
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}
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};
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struct Merge : MergeTestBase {};
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TEST_P(Merge, 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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std::vector<cv::Mat> dev_src;
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dev_src.push_back(mat1_roi);
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dev_src.push_back(mat2_roi);
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dev_src.push_back(mat3_roi);
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dev_src.push_back(mat4_roi);
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t0 = (double)cvGetTickCount();//cpu start
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cv::merge(dev_src, 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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gmat1 = mat1_roi;
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gmat2 = mat2_roi;
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gmat3 = mat3_roi;
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gmat4 = mat4_roi;
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gdst_whole = dst;
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gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
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std::vector<cv::ocl::oclMat> dev_gsrc;
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dev_gsrc.push_back(gmat1);
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dev_gsrc.push_back(gmat2);
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dev_gsrc.push_back(gmat3);
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dev_gsrc.push_back(gmat4);
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t2=(double)cvGetTickCount();//kernel
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cv::ocl::merge(dev_gsrc, 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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gmat1 = mat1_roi;
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gmat2 = mat2_roi;
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gmat3 = mat3_roi;
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gmat4 = mat4_roi;
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gdst_whole = dst;
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gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows));
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std::vector<cv::ocl::oclMat> dev_gsrc;
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dev_gsrc.push_back(gmat1);
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dev_gsrc.push_back(gmat2);
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dev_gsrc.push_back(gmat3);
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dev_gsrc.push_back(gmat4);
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if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";};
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cv::ocl::merge(dev_gsrc, gdst);
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};
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#endif
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}
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PARAM_TEST_CASE(SplitTestBase, MatType, int)
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{
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int type;
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int channels;
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//src mat
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cv::Mat mat;
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//dstmat
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cv::Mat dst1;
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cv::Mat dst2;
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cv::Mat dst3;
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cv::Mat dst4;
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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 dst1x;
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int dst1y;
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int dst2x;
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int dst2y;
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int dst3x;
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int dst3y;
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int dst4x;
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int dst4y;
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//src mat with roi
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cv::Mat mat_roi;
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//dst mat with roi
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cv::Mat dst1_roi;
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cv::Mat dst2_roi;
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cv::Mat dst3_roi;
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cv::Mat dst4_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 gdst1_whole;
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cv::ocl::oclMat gdst2_whole;
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cv::ocl::oclMat gdst3_whole;
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cv::ocl::oclMat gdst4_whole;
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//ocl mat with roi
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cv::ocl::oclMat gmat;
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cv::ocl::oclMat gdst1;
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cv::ocl::oclMat gdst2;
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cv::ocl::oclMat gdst3;
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cv::ocl::oclMat gdst4;
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virtual void SetUp()
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{
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type = GET_PARAM(0);
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channels = 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, CV_MAKETYPE(type, channels), 5, 16, false);
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dst1 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
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dst2 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
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dst3 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
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dst4 = randomMat(rng, size, CV_MAKETYPE(type, 1), 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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srcx = 1;
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dst1x = 1;
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dst1y =1;
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dst2x = 1;
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dst2y =1;
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dst3x = 1;
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dst3y =1;
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dst4x = 1;
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dst4y =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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dst1x = 0;
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dst1y = 0;
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dst2x = 0;
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dst2y =0;
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dst3x = 0;
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dst3y =0;
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dst4x = 0;
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dst4y =0;
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};
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mat_roi = mat(Rect(srcx,srcy,roicols,roirows));
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dst1_roi = dst1(Rect(dst1x,dst1y,roicols,roirows));
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dst2_roi = dst2(Rect(dst2x,dst2y,roicols,roirows));
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dst3_roi = dst3(Rect(dst3x,dst3y,roicols,roirows));
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dst4_roi = dst4(Rect(dst4x,dst4y,roicols,roirows));
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}
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};
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struct Split :SplitTestBase {};
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TEST_P(Split, 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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cv::Mat dev_dst[4] = {dst1_roi, dst2_roi, dst3_roi, dst4_roi};
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cv::ocl::oclMat dev_gdst[4] = {gdst1, gdst2, gdst3, gdst4};
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t0 = (double)cvGetTickCount();//cpu start
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cv::split(mat_roi, dev_dst);
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t0 = (double)cvGetTickCount() - t0;//cpu end
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t1 = (double)cvGetTickCount();//gpu start1
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gdst1_whole = dst1;
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gdst1 = gdst1_whole(Rect(dst1x,dst1y,roicols,roirows));
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gdst2_whole = dst2;
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gdst2 = gdst2_whole(Rect(dst2x,dst2y,roicols,roirows));
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gdst3_whole = dst3;
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gdst3 = gdst3_whole(Rect(dst3x,dst3y,roicols,roirows));
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gdst4_whole = dst4;
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gdst4 = gdst4_whole(Rect(dst4x,dst4y,roicols,roirows));
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gmat = mat_roi;
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t2=(double)cvGetTickCount();//kernel
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cv::ocl::split(gmat, dev_gdst);
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t2 = (double)cvGetTickCount() - t2;//kernel
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cv::Mat cpu_dst1;
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cv::Mat cpu_dst2;
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cv::Mat cpu_dst3;
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cv::Mat cpu_dst4;
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gdst1_whole.download(cpu_dst1);
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gdst2_whole.download(cpu_dst2);
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gdst3_whole.download(cpu_dst3);
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gdst4_whole.download(cpu_dst4);
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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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cv::Mat dev_dst[4] = {dst1_roi, dst2_roi, dst3_roi, dst4_roi};
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cv::ocl::oclMat dev_gdst[4] = {gdst1, gdst2, gdst3, gdst4};
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gdst1_whole = dst1;
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gdst1 = gdst1_whole(Rect(dst1x,dst1y,roicols,roirows));
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gdst2_whole = dst2;
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gdst2 = gdst2_whole(Rect(dst2x,dst2y,roicols,roirows));
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gdst3_whole = dst3;
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gdst3 = gdst3_whole(Rect(dst3x,dst3y,roicols,roirows));
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gdst4_whole = dst4;
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gdst4 = gdst4_whole(Rect(dst4x,dst4y,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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cv::ocl::split(gmat, dev_gdst);
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};
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#endif
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}
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//*************test*****************
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INSTANTIATE_TEST_CASE_P(SplitMerge, Merge, Combine(
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Values(CV_8UC4, CV_32FC4), Values(1, 4)));
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INSTANTIATE_TEST_CASE_P(SplitMerge, Split , Combine(
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Values(CV_8U, CV_32S, CV_32F), Values(1, 4)));
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#endif // HAVE_OPENCL
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