/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved. // Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // @Authors // fangfang bai fangfang@multicorewareinc.com // // 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 "opencv2/core/core.hpp" #include "precomp.hpp" #include <iomanip> #ifdef HAVE_OPENCL using namespace cv; using namespace cv::ocl; using namespace cvtest; using namespace testing; using namespace std; PARAM_TEST_CASE(PyrUp, MatType, int) { int type; int channels; //std::vector<cv::ocl::Info> oclinfo; virtual void SetUp() { type = GET_PARAM(0); channels = GET_PARAM(1); //int devnums = getDevice(oclinfo); //CV_Assert(devnums > 0); } }; TEST_P(PyrUp, Performance) { cv::Size size(MWIDTH, MHEIGHT); cv::Mat src = randomMat(size, CV_MAKETYPE(type, channels)); cv::Mat dst_gold; cv::ocl::oclMat dst; double totalgputick = 0; double totalgputick_kernel = 0; double t1 = 0; double t2 = 0; for (int j = 0; j < LOOP_TIMES + 1; j ++) { t1 = (double)cvGetTickCount();//gpu start1 cv::ocl::oclMat srcMat = cv::ocl::oclMat(src);//upload t2 = (double)cvGetTickCount(); //kernel cv::ocl::pyrUp(srcMat, dst); t2 = (double)cvGetTickCount() - t2;//kernel cv::Mat cpu_dst; dst.download(cpu_dst); //download t1 = (double)cvGetTickCount() - t1;//gpu end1 if (j == 0) { continue; } totalgputick = t1 + totalgputick; totalgputick_kernel = t2 + totalgputick_kernel; } 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; } INSTANTIATE_TEST_CASE_P(GPU_ImgProc, PyrUp, Combine( Values(CV_8U, CV_32F), Values(1, 4))); #endif // HAVE_OPENCL