199 lines
6.7 KiB
C++
199 lines
6.7 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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// 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 materials 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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#ifdef __GNUC__
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# pragma GCC diagnostic ignored "-Wmissing-declarations"
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# if defined __clang__ || defined __APPLE__
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# pragma GCC diagnostic ignored "-Wmissing-prototypes"
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# pragma GCC diagnostic ignored "-Wextra"
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# endif
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#endif
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#ifndef __OPENCV_PERF_PRECOMP_HPP__
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#define __OPENCV_PERF_PRECOMP_HPP__
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#ifdef __GNUC__
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# pragma GCC diagnostic ignored "-Wmissing-declarations"
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# if defined __clang__ || defined __APPLE__
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# pragma GCC diagnostic ignored "-Wmissing-prototypes"
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# pragma GCC diagnostic ignored "-Wextra"
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# endif
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#endif
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#define CV_BUILD_OCL_MODULE
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#include <iomanip>
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#include <stdexcept>
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#include <string>
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#include <iostream>
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#include <cstdio>
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#include <vector>
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#include <numeric>
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#include "cvconfig.h"
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#include "opencv2/core.hpp"
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#include "opencv2/core/utility.hpp"
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#include "opencv2/imgproc.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/calib3d.hpp"
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#include "opencv2/video.hpp"
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#include "opencv2/objdetect.hpp"
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#include "opencv2/features2d.hpp"
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#include "opencv2/ocl.hpp"
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#include "opencv2/ts.hpp"
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using namespace std;
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using namespace cv;
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#define OCL_SIZE_1000 Size(1000, 1000)
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#define OCL_SIZE_2000 Size(2000, 2000)
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#define OCL_SIZE_4000 Size(4000, 4000)
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#define OCL_TYPICAL_MAT_SIZES ::testing::Values(OCL_SIZE_1000, OCL_SIZE_2000, OCL_SIZE_4000)
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#define OCL_PERF_ENUM(type, ...) ::testing::Values(type, ## __VA_ARGS__ )
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#define IMPL_OCL "ocl"
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#define IMPL_GPU "gpu"
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#define IMPL_PLAIN "plain"
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#define RUN_OCL_IMPL (IMPL_OCL == getSelectedImpl())
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#define RUN_PLAIN_IMPL (IMPL_PLAIN == getSelectedImpl())
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#ifdef HAVE_OPENCV_GPU
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# define RUN_GPU_IMPL (IMPL_GPU == getSelectedImpl())
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#endif
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#ifdef HAVE_OPENCV_GPU
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#define OCL_PERF_ELSE \
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if (RUN_GPU_IMPL) \
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CV_TEST_FAIL_NO_IMPL(); \
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else \
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CV_TEST_FAIL_NO_IMPL();
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#else
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#define OCL_PERF_ELSE \
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CV_TEST_FAIL_NO_IMPL();
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#endif
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#define OCL_TEST_CYCLE_N(n) for(declare.iterations(n); startTimer(), next(); cv::ocl::finish(), stopTimer())
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#define OCL_TEST_CYCLE() for(; startTimer(), next(); cv::ocl::finish(), stopTimer())
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#define OCL_TEST_CYCLE_MULTIRUN(runsNum) for(declare.runs(runsNum); startTimer(), next(); stopTimer()) for(int r = 0; r < runsNum; cv::ocl::finish(), ++r)
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// TODO: Move to the ts module
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namespace cvtest {
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namespace ocl {
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inline void checkDeviceMaxMemoryAllocSize(const Size& size, int type, int factor = 1)
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{
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assert(factor > 0);
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if (!(IMPL_OCL == perf::TestBase::getSelectedImpl()))
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return; // OpenCL devices are not used
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int cn = CV_MAT_CN(type);
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int cn_ocl = cn == 3 ? 4 : cn;
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int type_ocl = CV_MAKE_TYPE(CV_MAT_DEPTH(type), cn_ocl);
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size_t memSize = size.area() * CV_ELEM_SIZE(type_ocl);
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const cv::ocl::DeviceInfo& devInfo = cv::ocl::Context::getContext()->getDeviceInfo();
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if (memSize * factor >= devInfo.maxMemAllocSize)
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{
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throw perf::TestBase::PerfSkipTestException();
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}
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}
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struct KeypointIdxCompare
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{
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std::vector<cv::KeyPoint>* keypoints;
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explicit KeypointIdxCompare(std::vector<cv::KeyPoint>* _keypoints) : keypoints(_keypoints) {}
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bool operator ()(size_t i1, size_t i2) const
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{
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cv::KeyPoint kp1 = (*keypoints)[i1];
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cv::KeyPoint kp2 = (*keypoints)[i2];
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if (kp1.pt.x != kp2.pt.x)
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return kp1.pt.x < kp2.pt.x;
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if (kp1.pt.y != kp2.pt.y)
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return kp1.pt.y < kp2.pt.y;
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if (kp1.response != kp2.response)
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return kp1.response < kp2.response;
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return kp1.octave < kp2.octave;
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}
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};
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inline void sortKeyPoints(std::vector<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors = cv::noArray())
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{
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std::vector<size_t> indexies(keypoints.size());
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for (size_t i = 0; i < indexies.size(); ++i)
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indexies[i] = i;
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std::sort(indexies.begin(), indexies.end(), KeypointIdxCompare(&keypoints));
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std::vector<cv::KeyPoint> new_keypoints;
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cv::Mat new_descriptors;
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new_keypoints.resize(keypoints.size());
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cv::Mat descriptors;
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if (_descriptors.needed())
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{
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descriptors = _descriptors.getMat();
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new_descriptors.create(descriptors.size(), descriptors.type());
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}
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for (size_t i = 0; i < indexies.size(); ++i)
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{
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size_t new_idx = indexies[i];
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new_keypoints[i] = keypoints[new_idx];
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if (!new_descriptors.empty())
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descriptors.row((int) new_idx).copyTo(new_descriptors.row((int) i));
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}
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keypoints.swap(new_keypoints);
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if (_descriptors.needed())
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new_descriptors.copyTo(_descriptors);
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}
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} // namespace cvtest::ocl
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} // namespace cvtest
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using namespace cvtest::ocl;
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#endif
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