/*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, Institute Of Software Chinese Academy Of Science, all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // Jia Haipeng, jiahaipeng95@gmail.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" #ifdef HAVE_OPENCL using namespace cvtest; using namespace testing; using namespace std; using namespace cv::ocl; PARAM_TEST_CASE(MergeTestBase, MatType, int) { int type; int channels; //src mat cv::Mat mat1; cv::Mat mat2; cv::Mat mat3; cv::Mat mat4; //dst mat cv::Mat dst; // set up roi int roicols; int roirows; int src1x; int src1y; int src2x; int src2y; int src3x; int src3y; int src4x; int src4y; int dstx; int dsty; //src mat with roi cv::Mat mat1_roi; cv::Mat mat2_roi; cv::Mat mat3_roi; cv::Mat mat4_roi; //dst mat with roi cv::Mat dst_roi; std::vector oclinfo; //ocl dst mat for testing cv::ocl::oclMat gdst_whole; //ocl mat with roi cv::ocl::oclMat gmat1; cv::ocl::oclMat gmat2; cv::ocl::oclMat gmat3; cv::ocl::oclMat gmat4; cv::ocl::oclMat gdst; virtual void SetUp() { type = GET_PARAM(0); channels = GET_PARAM(1); cv::RNG& rng = TS::ptr()->get_rng(); cv::Size size(MWIDTH, MHEIGHT); mat1 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false); mat2 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false); mat3 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false); mat4 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false); dst = randomMat(rng, size, CV_MAKETYPE(type, channels), 5, 16, false); int devnums = getDevice(oclinfo); CV_Assert(devnums > 0); //if you want to use undefault device, set it here //setDevice(oclinfo[0]); setBinpath(CLBINPATH); } void Has_roi(int b) { //cv::RNG& rng = TS::ptr()->get_rng(); if(b) { //randomize ROI roicols = mat1.cols-1; //start roirows = mat1.rows-1; src1x = 1; src1y = 1; src2x = 1; src2y = 1; src3x = 1; src3y = 1; src4x = 1; src4y = 1; dstx = 1; dsty =1; }else { roicols = mat1.cols; roirows = mat1.rows; src1x = 0; src1y = 0; src2x = 0; src2y = 0; src3x = 0; src3y = 0; src4x = 0; src4y = 0; dstx = 0; dsty = 0; }; mat1_roi = mat1(Rect(src1x,src1y,roicols,roirows)); mat2_roi = mat2(Rect(src2x,src2y,roicols,roirows)); mat3_roi = mat3(Rect(src3x,src3y,roicols,roirows)); mat4_roi = mat4(Rect(src4x,src4y,roicols,roirows)); dst_roi = dst(Rect(dstx,dsty,roicols,roirows)); } }; struct Merge : MergeTestBase {}; TEST_P(Merge, Accuracy) { #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); std::vector dev_src; dev_src.push_back(mat1_roi); dev_src.push_back(mat2_roi); dev_src.push_back(mat3_roi); dev_src.push_back(mat4_roi); t0 = (double)cvGetTickCount();//cpu start cv::merge(dev_src, dst_roi); t0 = (double)cvGetTickCount() - t0;//cpu end t1 = (double)cvGetTickCount();//gpu start1 ] gmat1 = mat1_roi; gmat2 = mat2_roi; gmat3 = mat3_roi; gmat4 = mat4_roi; gdst_whole = dst; gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows)); std::vector dev_gsrc; dev_gsrc.push_back(gmat1); dev_gsrc.push_back(gmat2); dev_gsrc.push_back(gmat3); dev_gsrc.push_back(gmat4); t2=(double)cvGetTickCount();//kernel cv::ocl::merge(dev_gsrc, gdst); t2 = (double)cvGetTickCount() - t2;//kernel cv::Mat cpu_dst; gdst_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); gmat1 = mat1_roi; gmat2 = mat2_roi; gmat3 = mat3_roi; gmat4 = mat4_roi; gdst_whole = dst; gdst = gdst_whole(Rect(dstx,dsty,roicols,roirows)); std::vector dev_gsrc; dev_gsrc.push_back(gmat1); dev_gsrc.push_back(gmat2); dev_gsrc.push_back(gmat3); dev_gsrc.push_back(gmat4); if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";}; cv::ocl::merge(dev_gsrc, gdst); }; #endif } PARAM_TEST_CASE(SplitTestBase, MatType, int) { int type; int channels; //src mat cv::Mat mat; //dstmat cv::Mat dst1; cv::Mat dst2; cv::Mat dst3; cv::Mat dst4; // set up roi int roicols; int roirows; int srcx; int srcy; int dst1x; int dst1y; int dst2x; int dst2y; int dst3x; int dst3y; int dst4x; int dst4y; //src mat with roi cv::Mat mat_roi; //dst mat with roi cv::Mat dst1_roi; cv::Mat dst2_roi; cv::Mat dst3_roi; cv::Mat dst4_roi; std::vector oclinfo; //ocl dst mat for testing cv::ocl::oclMat gdst1_whole; cv::ocl::oclMat gdst2_whole; cv::ocl::oclMat gdst3_whole; cv::ocl::oclMat gdst4_whole; //ocl mat with roi cv::ocl::oclMat gmat; cv::ocl::oclMat gdst1; cv::ocl::oclMat gdst2; cv::ocl::oclMat gdst3; cv::ocl::oclMat gdst4; virtual void SetUp() { type = GET_PARAM(0); channels = GET_PARAM(1); cv::RNG& rng = TS::ptr()->get_rng(); cv::Size size(MWIDTH, MHEIGHT); mat = randomMat(rng, size, CV_MAKETYPE(type, channels), 5, 16, false); dst1 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false); dst2 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false); dst3 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false); dst4 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false); int devnums = getDevice(oclinfo); CV_Assert(devnums > 0); //if you want to use undefault device, set it here //setDevice(oclinfo[0]); setBinpath(CLBINPATH); } void Has_roi(int b) { //cv::RNG& rng = TS::ptr()->get_rng(); if(b) { //randomize ROI roicols = mat.cols-1; //start roirows = mat.rows-1; srcx = 1; srcx = 1; dst1x = 1; dst1y =1; dst2x = 1; dst2y =1; dst3x = 1; dst3y =1; dst4x = 1; dst4y =1; }else { roicols = mat.cols; roirows = mat.rows; srcx = 0; srcy = 0; dst1x = 0; dst1y = 0; dst2x = 0; dst2y =0; dst3x = 0; dst3y =0; dst4x = 0; dst4y =0; }; mat_roi = mat(Rect(srcx,srcy,roicols,roirows)); dst1_roi = dst1(Rect(dst1x,dst1y,roicols,roirows)); dst2_roi = dst2(Rect(dst2x,dst2y,roicols,roirows)); dst3_roi = dst3(Rect(dst3x,dst3y,roicols,roirows)); dst4_roi = dst4(Rect(dst4x,dst4y,roicols,roirows)); } }; struct Split :SplitTestBase {}; TEST_P(Split, Accuracy) { #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); cv::Mat dev_dst[4] = {dst1_roi, dst2_roi, dst3_roi, dst4_roi}; cv::ocl::oclMat dev_gdst[4] = {gdst1, gdst2, gdst3, gdst4}; t0 = (double)cvGetTickCount();//cpu start cv::split(mat_roi, dev_dst); t0 = (double)cvGetTickCount() - t0;//cpu end t1 = (double)cvGetTickCount();//gpu start1 gdst1_whole = dst1; gdst1 = gdst1_whole(Rect(dst1x,dst1y,roicols,roirows)); gdst2_whole = dst2; gdst2 = gdst2_whole(Rect(dst2x,dst2y,roicols,roirows)); gdst3_whole = dst3; gdst3 = gdst3_whole(Rect(dst3x,dst3y,roicols,roirows)); gdst4_whole = dst4; gdst4 = gdst4_whole(Rect(dst4x,dst4y,roicols,roirows)); gmat = mat_roi; t2=(double)cvGetTickCount();//kernel cv::ocl::split(gmat, dev_gdst); t2 = (double)cvGetTickCount() - t2;//kernel cv::Mat cpu_dst1; cv::Mat cpu_dst2; cv::Mat cpu_dst3; cv::Mat cpu_dst4; gdst1_whole.download(cpu_dst1); gdst2_whole.download(cpu_dst2); gdst3_whole.download(cpu_dst3); gdst4_whole.download(cpu_dst4); 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); cv::Mat dev_dst[4] = {dst1_roi, dst2_roi, dst3_roi, dst4_roi}; cv::ocl::oclMat dev_gdst[4] = {gdst1, gdst2, gdst3, gdst4}; gdst1_whole = dst1; gdst1 = gdst1_whole(Rect(dst1x,dst1y,roicols,roirows)); gdst2_whole = dst2; gdst2 = gdst2_whole(Rect(dst2x,dst2y,roicols,roirows)); gdst3_whole = dst3; gdst3 = gdst3_whole(Rect(dst3x,dst3y,roicols,roirows)); gdst4_whole = dst4; gdst4 = gdst4_whole(Rect(dst4x,dst4y,roicols,roirows)); gmat = mat_roi; if(j==0){cout<<"no roi:";}else{cout<<"\nwith roi:";}; cv::ocl::split(gmat, dev_gdst); }; #endif } //*************test***************** INSTANTIATE_TEST_CASE_P(SplitMerge, Merge, Combine( Values(CV_8UC4, CV_32FC4), Values(1, 4))); INSTANTIATE_TEST_CASE_P(SplitMerge, Split , Combine( Values(CV_8U, CV_32S, CV_32F), Values(1, 4))); #endif // HAVE_OPENCL