rename all the perf test files
fix the channel 3 bug in matrix operation perf and buf fix for LUT haardetect convertC3C4 resize warpaffine copytom settom add convovle remove stereo
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niko
155
modules/ocl/perf/perf_canny.cpp
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155
modules/ocl/perf/perf_canny.cpp
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/*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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//
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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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// 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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#include <iomanip>
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#ifdef HAVE_OPENCL
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using namespace cv;
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using namespace cv::ocl;
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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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#define FILTER_IMAGE "../../../samples/gpu/road.png"
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#ifndef MWC_TEST_UTILITY
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#define MWC_TEST_UTILITY
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// Param class
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#ifndef IMPLEMENT_PARAM_CLASS
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#define IMPLEMENT_PARAM_CLASS(name, type) \
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class name \
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{ \
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public: \
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name ( type arg = type ()) : val_(arg) {} \
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operator type () const {return val_;} \
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private: \
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type val_; \
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}; \
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inline void PrintTo( name param, std::ostream* os) \
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{ \
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*os << #name << "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \
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}
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IMPLEMENT_PARAM_CLASS(Channels, int)
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#endif // IMPLEMENT_PARAM_CLASS
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#endif // MWC_TEST_UTILITY
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////////////////////////////////////////////////////////
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// Canny1
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IMPLEMENT_PARAM_CLASS(AppertureSize, int);
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IMPLEMENT_PARAM_CLASS(L2gradient, bool);
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PARAM_TEST_CASE(Canny1, AppertureSize, L2gradient)
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{
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int apperture_size;
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bool useL2gradient;
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//std::vector<cv::ocl::Info> oclinfo;
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virtual void SetUp()
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{
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apperture_size = GET_PARAM(0);
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useL2gradient = GET_PARAM(1);
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//int devnums = getDevice(oclinfo);
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//CV_Assert(devnums > 0);
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}
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};
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TEST_P(Canny1, Performance)
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{
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cv::Mat img = readImage(FILTER_IMAGE,cv::IMREAD_GRAYSCALE);
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ASSERT_FALSE(img.empty());
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double low_thresh = 100.0;
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double high_thresh = 150.0;
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cv::Mat edges_gold;
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cv::ocl::oclMat edges;
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double totalgputick=0;
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double totalgputick_kernel=0;
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double t1=0;
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double t2=0;
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for(int j = 0; j < LOOP_TIMES+1; j ++)
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{
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t1 = (double)cvGetTickCount();//gpu start1
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cv::ocl::oclMat ocl_img = cv::ocl::oclMat(img);//upload
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t2=(double)cvGetTickCount();//kernel
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cv::ocl::Canny(ocl_img, edges, low_thresh, high_thresh, apperture_size, useL2gradient);
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t2 = (double)cvGetTickCount() - t2;//kernel
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cv::Mat cpu_dst;
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edges.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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totalgputick_kernel=t2+totalgputick_kernel;
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}
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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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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, Canny1, testing::Combine(
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testing::Values(AppertureSize(3), AppertureSize(5)),
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testing::Values(L2gradient(false), L2gradient(true))));
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#endif //Have opencl
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