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5e0e1fac87
Conflicts: modules/ocl/CMakeLists.txt modules/ocl/perf/perf_color.cpp modules/ocl/perf/perf_match_template.cpp modules/ocl/perf/precomp.cpp modules/ocl/perf/precomp.hpp
99 lines
3.7 KiB
C++
99 lines
3.7 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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// 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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typedef std::tr1::tuple<cv::Size, float, float> Size_Dp_MinDist_t;
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typedef perf::TestBaseWithParam<Size_Dp_MinDist_t> Size_Dp_MinDist;
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PERF_TEST_P(Size_Dp_MinDist, OCL_HoughCircles,
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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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{
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const cv::Size size = std::tr1::get<0>(GetParam());
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const float dp = std::tr1::get<1>(GetParam());
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const float minDist = std::tr1::get<2>(GetParam());
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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 ocl_src(src);
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cv::ocl::oclMat ocl_circles;
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declare.time(10.0).iterations(25);
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TEST_CYCLE()
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{
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cv::ocl::HoughCircles(ocl_src, ocl_circles, HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);
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}
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cv::Mat circles(ocl_circles);
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SANITY_CHECK(circles);
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}
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#endif // HAVE_OPENCL
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