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/*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.
//
// 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 "perf_precomp.hpp"
#ifdef HAVE_OPENCL
using namespace cv;
using namespace perf;
//////////////////////////////////////////////////////////////////////
// HoughCircles
typedef std::tr1::tuple<cv::Size, float, float> Size_Dp_MinDist_t;
typedef perf::TestBaseWithParam<Size_Dp_MinDist_t> Size_Dp_MinDist;
PERF_TEST_P(Size_Dp_MinDist, OCL_HoughCircles,
testing::Combine(
testing::Values(perf::sz720p, perf::szSXGA, perf::sz1080p),
testing::Values(1.0f, 2.0f, 4.0f),
testing::Values(1.0f, 10.0f)))
{
const cv::Size size = std::tr1::get<0>(GetParam());
const float dp = std::tr1::get<1>(GetParam());
const float minDist = std::tr1::get<2>(GetParam());
const int minRadius = 10;
const int maxRadius = 30;
const int cannyThreshold = 100;
const int votesThreshold = 15;
cv::RNG rng(123456789);
cv::Mat src(size, CV_8UC1, cv::Scalar::all(0));
const int numCircles = rng.uniform(50, 100);
for (int i = 0; i < numCircles; ++i)
{
cv::Point center(rng.uniform(0, src.cols), rng.uniform(0, src.rows));
const int radius = rng.uniform(minRadius, maxRadius + 1);
cv::circle(src, center, radius, cv::Scalar::all(255), -1);
}
cv::ocl::oclMat ocl_src(src);
cv::ocl::oclMat ocl_circles;
declare.time(10.0).iterations(25);
TEST_CYCLE()
{
cv::ocl::HoughCircles(ocl_src, ocl_circles, HOUGH_GRADIENT, dp, minDist, cannyThreshold, votesThreshold, minRadius, maxRadius);
}
cv::Mat circles(ocl_circles);
SANITY_CHECK(circles);
}
#endif // HAVE_OPENCL