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Open Source Computer Vision Library
https://opencv.org/
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393 lines
10 KiB
393 lines
10 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 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 <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 "opencv2/core.hpp" |
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#include "opencv2/imgproc.hpp" |
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#include "opencv2/highgui.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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#define Min_Size 1000 |
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#define Max_Size 4000 |
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#define Multiple 2 |
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#define TAB " " |
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using namespace std; |
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using namespace cv; |
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void gen(Mat &mat, int rows, int cols, int type, Scalar low, Scalar high); |
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string abspath(const string &relpath); |
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int CV_CDECL cvErrorCallback(int, const char *, const char *, const char *, int, void *); |
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typedef struct |
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{ |
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short x; |
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short y; |
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} COOR; |
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COOR do_meanShift(int x0, int y0, uchar *sptr, uchar *dptr, int sstep, |
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cv::Size size, int sp, int sr, int maxIter, float eps, int *tab); |
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void meanShiftProc_(const Mat &src_roi, Mat &dst_roi, Mat &dstCoor_roi, |
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int sp, int sr, cv::TermCriteria crit); |
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class Runnable |
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{ |
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public: |
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explicit Runnable(const std::string &runname): name_(runname) {} |
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virtual ~Runnable() {} |
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const std::string &name() const |
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{ |
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return name_; |
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} |
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virtual void run() = 0; |
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private: |
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std::string name_; |
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}; |
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class TestSystem |
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{ |
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public: |
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static TestSystem &instance() |
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{ |
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static TestSystem me; |
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return me; |
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} |
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void setWorkingDir(const std::string &val) |
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{ |
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working_dir_ = val; |
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} |
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const std::string &workingDir() const |
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{ |
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return working_dir_; |
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} |
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void setTestFilter(const std::string &val) |
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{ |
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test_filter_ = val; |
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} |
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const std::string &testFilter() const |
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{ |
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return test_filter_; |
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} |
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void setNumIters(int num_iters) |
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{ |
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num_iters_ = num_iters; |
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} |
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void setGPUWarmupIters(int num_iters) |
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{ |
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gpu_warmup_iters_ = num_iters; |
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} |
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void setCPUIters(int num_iters) |
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{ |
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cpu_num_iters_ = num_iters; |
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} |
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void setTopThreshold(double top) |
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{ |
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top_ = top; |
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} |
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void setBottomThreshold(double bottom) |
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{ |
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bottom_ = bottom; |
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} |
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void addInit(Runnable *init) |
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{ |
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inits_.push_back(init); |
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} |
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void addTest(Runnable *test) |
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{ |
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tests_.push_back(test); |
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} |
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void run(); |
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// It's public because OpenCV callback uses it |
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void printError(const std::string &msg); |
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std::stringstream &startNewSubtest() |
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{ |
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finishCurrentSubtest(); |
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return cur_subtest_description_; |
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} |
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bool stop() const |
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{ |
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return cur_iter_idx_ >= num_iters_; |
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} |
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bool cpu_stop() const |
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{ |
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return cur_iter_idx_ >= cpu_num_iters_; |
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} |
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bool warmupStop() |
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{ |
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return cur_warmup_idx_++ >= gpu_warmup_iters_; |
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} |
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void warmupComplete() |
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{ |
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cur_warmup_idx_ = 0; |
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} |
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void cpuOn() |
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{ |
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cpu_started_ = cv::getTickCount(); |
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} |
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void cpuOff() |
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{ |
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int64 delta = cv::getTickCount() - cpu_started_; |
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cpu_times_.push_back(delta); |
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++cur_iter_idx_; |
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} |
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void cpuComplete() |
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{ |
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cpu_elapsed_ += meanTime(cpu_times_); |
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cur_subtest_is_empty_ = false; |
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cur_iter_idx_ = 0; |
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} |
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void gpuOn() |
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{ |
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gpu_started_ = cv::getTickCount(); |
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} |
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void gpuOff() |
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{ |
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int64 delta = cv::getTickCount() - gpu_started_; |
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gpu_times_.push_back(delta); |
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++cur_iter_idx_; |
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} |
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void gpuComplete() |
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{ |
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gpu_elapsed_ += meanTime(gpu_times_); |
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cur_subtest_is_empty_ = false; |
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cur_iter_idx_ = 0; |
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} |
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void gpufullOn() |
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{ |
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gpu_full_started_ = cv::getTickCount(); |
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} |
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void gpufullOff() |
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{ |
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int64 delta = cv::getTickCount() - gpu_full_started_; |
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gpu_full_times_.push_back(delta); |
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++cur_iter_idx_; |
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} |
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void gpufullComplete() |
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{ |
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gpu_full_elapsed_ += meanTime(gpu_full_times_); |
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cur_subtest_is_empty_ = false; |
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cur_iter_idx_ = 0; |
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} |
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bool isListMode() const |
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{ |
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return is_list_mode_; |
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} |
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void setListMode(bool value) |
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{ |
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is_list_mode_ = value; |
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} |
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void setRecordName(const std::string &name) |
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{ |
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recordname_ = name; |
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} |
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void setCurrentTest(const std::string &name) |
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{ |
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itname_ = name; |
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itname_changed_ = true; |
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} |
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private: |
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TestSystem(): |
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cur_subtest_is_empty_(true), cpu_elapsed_(0), |
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gpu_elapsed_(0), gpu_full_elapsed_(0), speedup_total_(0.0), |
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num_subtests_called_(0), |
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speedup_faster_count_(0), speedup_slower_count_(0), speedup_equal_count_(0), |
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speedup_full_faster_count_(0), speedup_full_slower_count_(0), speedup_full_equal_count_(0), is_list_mode_(false), |
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num_iters_(10), cpu_num_iters_(2), |
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gpu_warmup_iters_(1), cur_iter_idx_(0), cur_warmup_idx_(0), |
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record_(0), recordname_("performance"), itname_changed_(true) |
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{ |
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cpu_times_.reserve(num_iters_); |
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gpu_times_.reserve(num_iters_); |
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gpu_full_times_.reserve(num_iters_); |
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} |
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void finishCurrentSubtest(); |
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void resetCurrentSubtest() |
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{ |
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cpu_elapsed_ = 0; |
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gpu_elapsed_ = 0; |
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gpu_full_elapsed_ = 0; |
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cur_subtest_description_.str(""); |
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cur_subtest_is_empty_ = true; |
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cur_iter_idx_ = 0; |
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cpu_times_.clear(); |
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gpu_times_.clear(); |
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gpu_full_times_.clear(); |
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} |
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double meanTime(const std::vector<int64> &samples); |
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void printHeading(); |
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void printSummary(); |
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void printMetrics(double cpu_time, double gpu_time = 0.0f, double gpu_full_time = 0.0f, double speedup = 0.0f, double fullspeedup = 0.0f); |
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void writeHeading(); |
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void writeSummary(); |
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void writeMetrics(double cpu_time, double gpu_time = 0.0f, double gpu_full_time = 0.0f, |
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double speedup = 0.0f, double fullspeedup = 0.0f, |
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double gpu_min = 0.0f, double gpu_max = 0.0f, double std_dev = 0.0f); |
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std::string working_dir_; |
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std::string test_filter_; |
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std::vector<Runnable *> inits_; |
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std::vector<Runnable *> tests_; |
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std::stringstream cur_subtest_description_; |
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bool cur_subtest_is_empty_; |
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int64 cpu_started_; |
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int64 gpu_started_; |
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int64 gpu_full_started_; |
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double cpu_elapsed_; |
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double gpu_elapsed_; |
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double gpu_full_elapsed_; |
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double speedup_total_; |
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double speedup_full_total_; |
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int num_subtests_called_; |
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int speedup_faster_count_; |
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int speedup_slower_count_; |
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int speedup_equal_count_; |
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int speedup_full_faster_count_; |
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int speedup_full_slower_count_; |
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int speedup_full_equal_count_; |
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bool is_list_mode_; |
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double top_; |
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double bottom_; |
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int num_iters_; |
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int cpu_num_iters_; //there's no need to set cpu running same times with gpu |
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int gpu_warmup_iters_; //gpu warm up times, default is 1 |
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int cur_iter_idx_; |
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int cur_warmup_idx_; //current gpu warm up times |
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std::vector<int64> cpu_times_; |
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std::vector<int64> gpu_times_; |
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std::vector<int64> gpu_full_times_; |
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FILE *record_; |
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std::string recordname_; |
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std::string itname_; |
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bool itname_changed_; |
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}; |
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#define GLOBAL_INIT(name) \ |
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struct name##_init: Runnable { \ |
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name##_init(): Runnable(#name) { \ |
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TestSystem::instance().addInit(this); \ |
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} \ |
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void run(); \ |
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} name##_init_instance; \ |
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void name##_init::run() |
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#define TEST(name) \ |
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struct name##_test: Runnable { \ |
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name##_test(): Runnable(#name) { \ |
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TestSystem::instance().addTest(this); \ |
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} \ |
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void run(); \ |
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} name##_test_instance; \ |
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void name##_test::run() |
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#define SUBTEST TestSystem::instance().startNewSubtest() |
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#define CPU_ON \ |
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while (!TestSystem::instance().cpu_stop()) { \ |
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TestSystem::instance().cpuOn() |
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#define CPU_OFF \ |
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TestSystem::instance().cpuOff(); \ |
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} TestSystem::instance().cpuComplete() |
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#define GPU_ON \ |
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while (!TestSystem::instance().stop()) { \ |
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TestSystem::instance().gpuOn() |
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#define GPU_OFF \ |
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ocl::finish(); \ |
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TestSystem::instance().gpuOff(); \ |
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} TestSystem::instance().gpuComplete() |
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#define GPU_FULL_ON \ |
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while (!TestSystem::instance().stop()) { \ |
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TestSystem::instance().gpufullOn() |
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#define GPU_FULL_OFF \ |
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TestSystem::instance().gpufullOff(); \ |
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} TestSystem::instance().gpufullComplete() |
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#define WARMUP_ON \ |
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while (!TestSystem::instance().warmupStop()) { |
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#define WARMUP_OFF \ |
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ocl::finish(); \ |
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} TestSystem::instance().warmupComplete()
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