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137 lines
4.9 KiB
C++
137 lines
4.9 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, 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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// Seunghoon Park, pclove1@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 cv;
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using namespace perf;
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//////////////////////////////////////////////////////////////////////
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// HoughCircles
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PARAM_TEST_CASE(HoughCircles_Perf, cv::Size, float, float)
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{
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static void drawCircles(cv::Mat& dst, const std::vector<cv::Vec3f>& circles, bool fill)
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{
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dst.setTo(cv::Scalar::all(0));
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for (size_t i = 0; i < circles.size(); ++i)
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cv::circle(dst, cv::Point2f(circles[i][0], circles[i][1]), (int)circles[i][2], cv::Scalar::all(255), fill ? -1 : 1);
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}
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};
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TEST_P(HoughCircles_Perf, Performance)
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{
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const cv::Size size = GET_PARAM(0);
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const float dp = GET_PARAM(1);
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const float minDist = GET_PARAM(2);
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const int minRadius = 10;
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const int maxRadius = 30;
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const int cannyThreshold = 100;
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const int votesThreshold = 15;
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cv::RNG rng(123456789);
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cv::Mat src(size, CV_8UC1, cv::Scalar::all(0));
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const int numCircles = rng.uniform(50, 100);
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for (int i = 0; i < numCircles; ++i)
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{
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cv::Point center(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
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const int radius = rng.uniform(minRadius, maxRadius + 1);
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cv::circle(src, center, radius, cv::Scalar::all(255), -1);
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}
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cv::ocl::oclMat d_circles;
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double totalgputick = 0;
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double totalgputick_kernel = 0;
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double t1 = 0.0;
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double t2 = 0.0;
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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_src = cv::ocl::oclMat(src);//upload
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t2 = (double)cvGetTickCount(); //kernel
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cv::ocl::HoughCircles(ocl_src, d_circles, CV_HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);
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t2 = (double)cvGetTickCount() - t2;//kernel
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cv::Mat cpu_dst;
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if (d_circles.rows > 0)
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d_circles.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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std::cout << "average gpu runtime is " << totalgputick / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << std::endl;
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std::cout << "average gpu runtime without data transfer is " << totalgputick_kernel / ((double)cvGetTickFrequency()* LOOP_TIMES * 1000.) << "ms" << std::endl;
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}
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INSTANTIATE_TEST_CASE_P(Hough, HoughCircles_Perf,
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testing::Combine(
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testing::Values(perf::sz720p, perf::szSXGA, perf::sz1080p),
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testing::Values(1.0f, 2.0f, 4.0f),
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testing::Values(1.0f, 10.0f)));
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#endif // HAVE_OPENCL
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