opencv/modules/ocl/perf/precomp.hpp
2013-04-02 14:41:02 +08:00

394 lines
10 KiB
C++

/*M///////////////////////////////////////////////////////////////////////////////////////
//
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//
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// 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.
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// 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,
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#include <iomanip>
#include <stdexcept>
#include <string>
#include <iostream>
#include <cstdio>
#include <vector>
#include <numeric>
#include "opencv2/core/core.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/video/video.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/ocl/ocl.hpp"
#define Min_Size 1000
#define Max_Size 4000
#define Multiple 2
#define TAB " "
using namespace std;
using namespace cv;
void gen(Mat &mat, int rows, int cols, int type, Scalar low, Scalar high);
string abspath(const string &relpath);
int CV_CDECL cvErrorCallback(int, const char *, const char *, const char *, int, void *);
typedef struct
{
short x;
short y;
} COOR;
COOR do_meanShift(int x0, int y0, uchar *sptr, uchar *dptr, int sstep,
cv::Size size, int sp, int sr, int maxIter, float eps, int *tab);
void meanShiftProc_(const Mat &src_roi, Mat &dst_roi, Mat &dstCoor_roi,
int sp, int sr, cv::TermCriteria crit);
class Runnable
{
public:
explicit Runnable(const std::string &runname): name_(runname) {}
virtual ~Runnable() {}
const std::string &name() const
{
return name_;
}
virtual void run() = 0;
private:
std::string name_;
};
class TestSystem
{
public:
static TestSystem &instance()
{
static TestSystem me;
return me;
}
void setWorkingDir(const std::string &val)
{
working_dir_ = val;
}
const std::string &workingDir() const
{
return working_dir_;
}
void setTestFilter(const std::string &val)
{
test_filter_ = val;
}
const std::string &testFilter() const
{
return test_filter_;
}
void setNumIters(int num_iters)
{
num_iters_ = num_iters;
}
void setGPUWarmupIters(int num_iters)
{
gpu_warmup_iters_ = num_iters;
}
void setCPUIters(int num_iters)
{
cpu_num_iters_ = num_iters;
}
void setTopThreshold(double top)
{
top_ = top;
}
void setBottomThreshold(double bottom)
{
bottom_ = bottom;
}
void addInit(Runnable *init)
{
inits_.push_back(init);
}
void addTest(Runnable *test)
{
tests_.push_back(test);
}
void run();
// It's public because OpenCV callback uses it
void printError(const std::string &msg);
std::stringstream &startNewSubtest()
{
finishCurrentSubtest();
return cur_subtest_description_;
}
bool stop() const
{
return cur_iter_idx_ >= num_iters_;
}
bool cpu_stop() const
{
return cur_iter_idx_ >= cpu_num_iters_;
}
bool warmupStop()
{
return cur_warmup_idx_++ >= gpu_warmup_iters_;
}
void warmupComplete()
{
cur_warmup_idx_ = 0;
}
void cpuOn()
{
cpu_started_ = cv::getTickCount();
}
void cpuOff()
{
int64 delta = cv::getTickCount() - cpu_started_;
cpu_times_.push_back(delta);
++cur_iter_idx_;
}
void cpuComplete()
{
cpu_elapsed_ += meanTime(cpu_times_);
cur_subtest_is_empty_ = false;
cur_iter_idx_ = 0;
}
void gpuOn()
{
gpu_started_ = cv::getTickCount();
}
void gpuOff()
{
int64 delta = cv::getTickCount() - gpu_started_;
gpu_times_.push_back(delta);
++cur_iter_idx_;
}
void gpuComplete()
{
gpu_elapsed_ += meanTime(gpu_times_);
cur_subtest_is_empty_ = false;
cur_iter_idx_ = 0;
}
void gpufullOn()
{
gpu_full_started_ = cv::getTickCount();
}
void gpufullOff()
{
int64 delta = cv::getTickCount() - gpu_full_started_;
gpu_full_times_.push_back(delta);
++cur_iter_idx_;
}
void gpufullComplete()
{
gpu_full_elapsed_ += meanTime(gpu_full_times_);
cur_subtest_is_empty_ = false;
cur_iter_idx_ = 0;
}
bool isListMode() const
{
return is_list_mode_;
}
void setListMode(bool value)
{
is_list_mode_ = value;
}
void setRecordName(const std::string &name)
{
recordname_ = name;
}
void setCurrentTest(const std::string &name)
{
itname_ = name;
itname_changed_ = true;
}
private:
TestSystem():
cur_subtest_is_empty_(true), cpu_elapsed_(0),
gpu_elapsed_(0), gpu_full_elapsed_(0), speedup_total_(0.0),
num_subtests_called_(0),
speedup_faster_count_(0), speedup_slower_count_(0), speedup_equal_count_(0),
speedup_full_faster_count_(0), speedup_full_slower_count_(0), speedup_full_equal_count_(0), is_list_mode_(false),
num_iters_(10), cpu_num_iters_(2),
gpu_warmup_iters_(1), cur_iter_idx_(0), cur_warmup_idx_(0),
record_(0), recordname_("performance"), itname_changed_(true)
{
cpu_times_.reserve(num_iters_);
gpu_times_.reserve(num_iters_);
gpu_full_times_.reserve(num_iters_);
}
void finishCurrentSubtest();
void resetCurrentSubtest()
{
cpu_elapsed_ = 0;
gpu_elapsed_ = 0;
gpu_full_elapsed_ = 0;
cur_subtest_description_.str("");
cur_subtest_is_empty_ = true;
cur_iter_idx_ = 0;
cpu_times_.clear();
gpu_times_.clear();
gpu_full_times_.clear();
}
double meanTime(const std::vector<int64> &samples);
void printHeading();
void printSummary();
void printMetrics(double cpu_time, double gpu_time = 0.0f, double gpu_full_time = 0.0f, double speedup = 0.0f, double fullspeedup = 0.0f);
void writeHeading();
void writeSummary();
void writeMetrics(double cpu_time, double gpu_time = 0.0f, double gpu_full_time = 0.0f,
double speedup = 0.0f, double fullspeedup = 0.0f,
double gpu_min = 0.0f, double gpu_max = 0.0f, double std_dev = 0.0f);
std::string working_dir_;
std::string test_filter_;
std::vector<Runnable *> inits_;
std::vector<Runnable *> tests_;
std::stringstream cur_subtest_description_;
bool cur_subtest_is_empty_;
int64 cpu_started_;
int64 gpu_started_;
int64 gpu_full_started_;
double cpu_elapsed_;
double gpu_elapsed_;
double gpu_full_elapsed_;
double speedup_total_;
double speedup_full_total_;
int num_subtests_called_;
int speedup_faster_count_;
int speedup_slower_count_;
int speedup_equal_count_;
int speedup_full_faster_count_;
int speedup_full_slower_count_;
int speedup_full_equal_count_;
bool is_list_mode_;
double top_;
double bottom_;
int num_iters_;
int cpu_num_iters_; //there's no need to set cpu running same times with gpu
int gpu_warmup_iters_; //gpu warm up times, default is 1
int cur_iter_idx_;
int cur_warmup_idx_; //current gpu warm up times
std::vector<int64> cpu_times_;
std::vector<int64> gpu_times_;
std::vector<int64> gpu_full_times_;
FILE *record_;
std::string recordname_;
std::string itname_;
bool itname_changed_;
};
#define GLOBAL_INIT(name) \
struct name##_init: Runnable { \
name##_init(): Runnable(#name) { \
TestSystem::instance().addInit(this); \
} \
void run(); \
} name##_init_instance; \
void name##_init::run()
#define TEST(name) \
struct name##_test: Runnable { \
name##_test(): Runnable(#name) { \
TestSystem::instance().addTest(this); \
} \
void run(); \
} name##_test_instance; \
void name##_test::run()
#define SUBTEST TestSystem::instance().startNewSubtest()
#define CPU_ON \
while (!TestSystem::instance().cpu_stop()) { \
TestSystem::instance().cpuOn()
#define CPU_OFF \
TestSystem::instance().cpuOff(); \
} TestSystem::instance().cpuComplete()
#define GPU_ON \
while (!TestSystem::instance().stop()) { \
TestSystem::instance().gpuOn()
#define GPU_OFF \
ocl::finish(); \
TestSystem::instance().gpuOff(); \
} TestSystem::instance().gpuComplete()
#define GPU_FULL_ON \
while (!TestSystem::instance().stop()) { \
TestSystem::instance().gpufullOn()
#define GPU_FULL_OFF \
TestSystem::instance().gpufullOff(); \
} TestSystem::instance().gpufullComplete()
#define WARMUP_ON \
while (!TestSystem::instance().warmupStop()) {
#define WARMUP_OFF \
ocl::finish(); \
} TestSystem::instance().warmupComplete()