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Open Source Computer Vision Library
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198 lines
6.7 KiB
198 lines
6.7 KiB
/*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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