opencv/modules/ts/include/opencv2/ts/ts_perf.hpp
2012-11-01 12:42:51 +04:00

533 lines
19 KiB
C++

#ifndef __OPENCV_TS_PERF_HPP__
#define __OPENCV_TS_PERF_HPP__
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "ts_gtest.h"
#ifdef HAVE_TBB
#include "tbb/task_scheduler_init.h"
#endif
#if !(defined(LOGD) || defined(LOGI) || defined(LOGW) || defined(LOGE))
# if defined(ANDROID) && defined(USE_ANDROID_LOGGING)
# include <android/log.h>
# define PERF_TESTS_LOG_TAG "OpenCV_perf"
# define LOGD(...) ((void)__android_log_print(ANDROID_LOG_DEBUG, PERF_TESTS_LOG_TAG, __VA_ARGS__))
# define LOGI(...) ((void)__android_log_print(ANDROID_LOG_INFO, PERF_TESTS_LOG_TAG, __VA_ARGS__))
# define LOGW(...) ((void)__android_log_print(ANDROID_LOG_WARN, PERF_TESTS_LOG_TAG, __VA_ARGS__))
# define LOGE(...) ((void)__android_log_print(ANDROID_LOG_ERROR, PERF_TESTS_LOG_TAG, __VA_ARGS__))
# else
# define LOGD(_str, ...) do{printf(_str , ## __VA_ARGS__); printf("\n");fflush(stdout);} while(0)
# define LOGI(_str, ...) do{printf(_str , ## __VA_ARGS__); printf("\n");fflush(stdout);} while(0)
# define LOGW(_str, ...) do{printf(_str , ## __VA_ARGS__); printf("\n");fflush(stdout);} while(0)
# define LOGE(_str, ...) do{printf(_str , ## __VA_ARGS__); printf("\n");fflush(stdout);} while(0)
# endif
#endif
namespace perf
{
class TestBase;
/*****************************************************************************************\
* Predefined typical frame sizes and typical test parameters *
\*****************************************************************************************/
const cv::Size szQVGA = cv::Size(320, 240);
const cv::Size szVGA = cv::Size(640, 480);
const cv::Size szSVGA = cv::Size(800, 600);
const cv::Size szXGA = cv::Size(1024, 768);
const cv::Size szSXGA = cv::Size(1280, 1024);
const cv::Size szWQHD = cv::Size(2560, 1440);
const cv::Size sznHD = cv::Size(640, 360);
const cv::Size szqHD = cv::Size(960, 540);
const cv::Size sz240p = szQVGA;
const cv::Size sz720p = cv::Size(1280, 720);
const cv::Size sz1080p = cv::Size(1920, 1080);
const cv::Size sz1440p = szWQHD;
const cv::Size sz2160p = cv::Size(3840, 2160);//UHDTV1 4K
const cv::Size sz4320p = cv::Size(7680, 4320);//UHDTV2 8K
const cv::Size sz3MP = cv::Size(2048, 1536);
const cv::Size sz5MP = cv::Size(2592, 1944);
const cv::Size sz2K = cv::Size(2048, 2048);
const cv::Size szODD = cv::Size(127, 61);
const cv::Size szSmall24 = cv::Size(24, 24);
const cv::Size szSmall32 = cv::Size(32, 32);
const cv::Size szSmall64 = cv::Size(64, 64);
const cv::Size szSmall128 = cv::Size(128, 128);
#define SZ_ALL_VGA ::testing::Values(::perf::szQVGA, ::perf::szVGA, ::perf::szSVGA)
#define SZ_ALL_GA ::testing::Values(::perf::szQVGA, ::perf::szVGA, ::perf::szSVGA, ::perf::szXGA, ::perf::szSXGA)
#define SZ_ALL_HD ::testing::Values(::perf::sznHD, ::perf::szqHD, ::perf::sz720p, ::perf::sz1080p)
#define SZ_ALL_SMALL ::testing::Values(::perf::szSmall24, ::perf::szSmall32, ::perf::szSmall64, ::perf::szSmall128)
#define SZ_ALL ::testing::Values(::perf::szQVGA, ::perf::szVGA, ::perf::szSVGA, ::perf::szXGA, ::perf::szSXGA, ::perf::sznHD, ::perf::szqHD, ::perf::sz720p, ::perf::sz1080p)
#define SZ_TYPICAL ::testing::Values(::perf::szVGA, ::perf::szqHD, ::perf::sz720p, ::perf::szODD)
#define TYPICAL_MAT_SIZES ::perf::szVGA, ::perf::sz720p, ::perf::sz1080p, ::perf::szODD
#define TYPICAL_MAT_TYPES CV_8UC1, CV_8UC4, CV_32FC1
#define TYPICAL_MATS testing::Combine( testing::Values( TYPICAL_MAT_SIZES ), testing::Values( TYPICAL_MAT_TYPES ) )
#define TYPICAL_MATS_C1 testing::Combine( testing::Values( TYPICAL_MAT_SIZES ), testing::Values( CV_8UC1, CV_32FC1 ) )
#define TYPICAL_MATS_C4 testing::Combine( testing::Values( TYPICAL_MAT_SIZES ), testing::Values( CV_8UC4 ) )
/*****************************************************************************************\
* MatType - printable wrapper over integer 'type' of Mat *
\*****************************************************************************************/
class MatType
{
public:
MatType(int val=0) : _type(val) {}
operator int() const {return _type;}
private:
int _type;
};
/*****************************************************************************************\
* CV_ENUM and CV_FLAGS - macro to create printable wrappers for defines and enums *
\*****************************************************************************************/
#define CV_ENUM(class_name, ...) \
namespace { class CV_EXPORTS class_name {\
public:\
class_name(int val = 0) : _val(val) {}\
operator int() const {return _val;}\
void PrintTo(std::ostream* os) const {\
const int vals[] = {__VA_ARGS__};\
const char* svals = #__VA_ARGS__;\
for(int i = 0, pos = 0; i < (int)(sizeof(vals)/sizeof(int)); ++i){\
while(isspace(svals[pos]) || svals[pos] == ',') ++pos;\
int start = pos;\
while(!(isspace(svals[pos]) || svals[pos] == ',' || svals[pos] == 0)) ++pos;\
if (_val == vals[i]) {\
*os << std::string(svals + start, svals + pos);\
return;\
}\
}\
*os << "UNKNOWN";\
}\
struct Container{\
typedef class_name value_type;\
Container(class_name* first, size_t len): _begin(first), _end(first+len){}\
const class_name* begin() const {return _begin;}\
const class_name* end() const {return _end;}\
private: class_name *_begin, *_end;\
};\
static Container all(){\
static int vals[] = {__VA_ARGS__};\
return Container((class_name*)vals, sizeof(vals)/sizeof(vals[0]));\
}\
private: int _val;\
};\
inline void PrintTo(const class_name& t, std::ostream* os) { t.PrintTo(os); } }
#define CV_FLAGS(class_name, ...) \
class CV_EXPORTS class_name {\
public:\
class_name(int val = 0) : _val(val) {}\
operator int() const {return _val;}\
void PrintTo(std::ostream* os) const {\
const int vals[] = {__VA_ARGS__};\
const char* svals = #__VA_ARGS__;\
int value = _val;\
bool first = true;\
for(int i = 0, pos = 0; i < (int)(sizeof(vals)/sizeof(int)); ++i){\
while(isspace(svals[pos]) || svals[pos] == ',') ++pos;\
int start = pos;\
while(!(isspace(svals[pos]) || svals[pos] == ',' || svals[pos] == 0)) ++pos;\
if ((value & vals[i]) == vals[i]) {\
value &= ~vals[i]; \
if (first) first = false; else *os << "|"; \
*os << std::string(svals + start, svals + pos);\
if (!value) return;\
}\
}\
if (first) *os << "UNKNOWN";\
}\
private: int _val;\
};\
inline void PrintTo(const class_name& t, std::ostream* os) { t.PrintTo(os); }
CV_ENUM(MatDepth, CV_8U, CV_8S, CV_16U, CV_16S, CV_32S, CV_32F, CV_64F, CV_USRTYPE1)
/*****************************************************************************************\
* Regression control utility for performance testing *
\*****************************************************************************************/
enum ERROR_TYPE
{
ERROR_ABSOLUTE = 0,
ERROR_RELATIVE = 1
};
class CV_EXPORTS Regression
{
public:
static Regression& add(TestBase* test, const std::string& name, cv::InputArray array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
static Regression& addKeypoints(TestBase* test, const std::string& name, const std::vector<cv::KeyPoint>& array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
static Regression& addMatches(TestBase* test, const std::string& name, const std::vector<cv::DMatch>& array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
static void Init(const std::string& testSuitName, const std::string& ext = ".xml");
Regression& operator() (const std::string& name, cv::InputArray array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
private:
static Regression& instance();
Regression();
~Regression();
Regression(const Regression&);
Regression& operator=(const Regression&);
cv::RNG regRNG;//own random numbers generator to make collection and verification work identical
std::string storageInPath;
std::string storageOutPath;
cv::FileStorage storageIn;
cv::FileStorage storageOut;
cv::FileNode rootIn;
std::string currentTestNodeName;
std::string suiteName;
cv::FileStorage& write();
static std::string getCurrentTestNodeName();
static bool isVector(cv::InputArray a);
static double getElem(cv::Mat& m, int x, int y, int cn = 0);
void init(const std::string& testSuitName, const std::string& ext);
void write(cv::InputArray array);
void write(cv::Mat m);
void verify(cv::FileNode node, cv::InputArray array, double eps, ERROR_TYPE err);
void verify(cv::FileNode node, cv::Mat actual, double eps, std::string argname, ERROR_TYPE err);
};
#define SANITY_CHECK(array, ...) ::perf::Regression::add(this, #array, array , ## __VA_ARGS__)
#define SANITY_CHECK_KEYPOINTS(array, ...) ::perf::Regression::addKeypoints(this, #array, array , ## __VA_ARGS__)
#define SANITY_CHECK_MATCHES(array, ...) ::perf::Regression::addMatches(this, #array, array , ## __VA_ARGS__)
#ifdef HAVE_CUDA
class CV_EXPORTS GpuPerf
{
public:
static bool targetDevice();
};
# define PERF_RUN_GPU() ::perf::GpuPerf::targetDevice()
#else
# define PERF_RUN_GPU() false
#endif
/*****************************************************************************************\
* Container for performance metrics *
\*****************************************************************************************/
typedef struct CV_EXPORTS performance_metrics
{
size_t bytesIn;
size_t bytesOut;
unsigned int samples;
unsigned int outliers;
double gmean;
double gstddev;//stddev for log(time)
double mean;
double stddev;
double median;
double min;
double frequency;
int terminationReason;
enum
{
TERM_ITERATIONS = 0,
TERM_TIME = 1,
TERM_INTERRUPT = 2,
TERM_EXCEPTION = 3,
TERM_UNKNOWN = -1
};
performance_metrics();
} performance_metrics;
/*****************************************************************************************\
* Base fixture for performance tests *
\*****************************************************************************************/
class CV_EXPORTS TestBase: public ::testing::Test
{
public:
TestBase();
static void Init(int argc, const char* const argv[]);
static std::string getDataPath(const std::string& relativePath);
protected:
virtual void PerfTestBody() = 0;
virtual void SetUp();
virtual void TearDown();
void startTimer();
void stopTimer();
bool next();
//_declareHelper declare;
enum
{
WARMUP_READ,
WARMUP_WRITE,
WARMUP_RNG,
WARMUP_NONE
};
void reportMetrics(bool toJUnitXML = false);
static void warmup(cv::InputOutputArray a, int wtype = WARMUP_READ);
performance_metrics& calcMetrics();
void RunPerfTestBody();
private:
typedef std::vector<std::pair<int, cv::Size> > SizeVector;
typedef std::vector<int64> TimeVector;
SizeVector inputData;
SizeVector outputData;
unsigned int getTotalInputSize() const;
unsigned int getTotalOutputSize() const;
TimeVector times;
int64 lastTime;
int64 totalTime;
int64 timeLimit;
static int64 timeLimitDefault;
static unsigned int iterationsLimitDefault;
unsigned int nIters;
unsigned int currentIter;
unsigned int runsPerIteration;
performance_metrics metrics;
void validateMetrics();
static int64 _timeadjustment;
static int64 _calibrate();
static void warmup_impl(cv::Mat m, int wtype);
static int getSizeInBytes(cv::InputArray a);
static cv::Size getSize(cv::InputArray a);
static void declareArray(SizeVector& sizes, cv::InputOutputArray a, int wtype = 0);
class CV_EXPORTS _declareHelper
{
public:
_declareHelper& in(cv::InputOutputArray a1, int wtype = WARMUP_READ);
_declareHelper& in(cv::InputOutputArray a1, cv::InputOutputArray a2, int wtype = WARMUP_READ);
_declareHelper& in(cv::InputOutputArray a1, cv::InputOutputArray a2, cv::InputOutputArray a3, int wtype = WARMUP_READ);
_declareHelper& in(cv::InputOutputArray a1, cv::InputOutputArray a2, cv::InputOutputArray a3, cv::InputOutputArray a4, int wtype = WARMUP_READ);
_declareHelper& out(cv::InputOutputArray a1, int wtype = WARMUP_WRITE);
_declareHelper& out(cv::InputOutputArray a1, cv::InputOutputArray a2, int wtype = WARMUP_WRITE);
_declareHelper& out(cv::InputOutputArray a1, cv::InputOutputArray a2, cv::InputOutputArray a3, int wtype = WARMUP_WRITE);
_declareHelper& out(cv::InputOutputArray a1, cv::InputOutputArray a2, cv::InputOutputArray a3, cv::InputOutputArray a4, int wtype = WARMUP_WRITE);
_declareHelper& iterations(unsigned int n);
_declareHelper& time(double timeLimitSecs);
_declareHelper& tbb_threads(int n = -1);
_declareHelper& runs(unsigned int runsNumber);
private:
TestBase* test;
_declareHelper(TestBase* t);
_declareHelper(const _declareHelper&);
_declareHelper& operator=(const _declareHelper&);
friend class TestBase;
};
friend class _declareHelper;
friend class Regression;
bool verified;
public:
_declareHelper declare;
};
template<typename T> class TestBaseWithParam: public TestBase, public ::testing::WithParamInterface<T> {};
typedef std::tr1::tuple<cv::Size, MatType> Size_MatType_t;
typedef TestBaseWithParam<Size_MatType_t> Size_MatType;
/*****************************************************************************************\
* Print functions for googletest *
\*****************************************************************************************/
CV_EXPORTS void PrintTo(const MatType& t, std::ostream* os);
} //namespace perf
namespace cv
{
CV_EXPORTS void PrintTo(const Size& sz, ::std::ostream* os);
} //namespace cv
/*****************************************************************************************\
* Macro definitions for performance tests *
\*****************************************************************************************/
#define PERF_PROXY_NAMESPACE_NAME_(test_case_name, test_name) \
test_case_name##_##test_name##_perf_namespace_proxy
// Defines a performance test.
//
// The first parameter is the name of the test case, and the second
// parameter is the name of the test within the test case.
//
// The user should put his test code between braces after using this
// macro. Example:
//
// PERF_TEST(FooTest, InitializesCorrectly) {
// Foo foo;
// EXPECT_TRUE(foo.StatusIsOK());
// }
#define PERF_TEST(test_case_name, test_name)\
namespace PERF_PROXY_NAMESPACE_NAME_(test_case_name, test_name) {\
class TestBase {/*compile error for this class means that you are trying to use perf::TestBase as a fixture*/};\
class test_case_name : public ::perf::TestBase {\
public:\
test_case_name() {}\
protected:\
virtual void PerfTestBody();\
};\
TEST_F(test_case_name, test_name){ RunPerfTestBody(); }\
}\
void PERF_PROXY_NAMESPACE_NAME_(test_case_name, test_name)::test_case_name::PerfTestBody()
// Defines a performance test that uses a test fixture.
//
// The first parameter is the name of the test fixture class, which
// also doubles as the test case name. The second parameter is the
// name of the test within the test case.
//
// A test fixture class must be declared earlier. The user should put
// his test code between braces after using this macro. Example:
//
// class FooTest : public ::perf::TestBase {
// protected:
// virtual void SetUp() { TestBase::SetUp(); b_.AddElement(3); }
//
// Foo a_;
// Foo b_;
// };
//
// PERF_TEST_F(FooTest, InitializesCorrectly) {
// EXPECT_TRUE(a_.StatusIsOK());
// }
//
// PERF_TEST_F(FooTest, ReturnsElementCountCorrectly) {
// EXPECT_EQ(0, a_.size());
// EXPECT_EQ(1, b_.size());
// }
#define PERF_TEST_F(fixture, testname) \
namespace PERF_PROXY_NAMESPACE_NAME_(fixture, testname) {\
class TestBase {/*compile error for this class means that you are trying to use perf::TestBase as a fixture*/};\
class fixture : public ::fixture {\
public:\
fixture() {}\
protected:\
virtual void PerfTestBody();\
};\
TEST_F(fixture, testname){ RunPerfTestBody(); }\
}\
void PERF_PROXY_NAMESPACE_NAME_(fixture, testname)::fixture::PerfTestBody()
// Defines a parametrized performance test.
//
// The first parameter is the name of the test fixture class, which
// also doubles as the test case name. The second parameter is the
// name of the test within the test case.
//
// The user should put his test code between braces after using this
// macro. Example:
//
// typedef ::perf::TestBaseWithParam<cv::Size> FooTest;
//
// PERF_TEST_P(FooTest, DoTestingRight, ::testing::Values(::perf::szVGA, ::perf::sz720p) {
// cv::Mat b(GetParam(), CV_8U, cv::Scalar(10));
// cv::Mat a(GetParam(), CV_8U, cv::Scalar(20));
// cv::Mat c(GetParam(), CV_8U, cv::Scalar(0));
//
// declare.in(a, b).out(c).time(0.5);
//
// TEST_CYCLE() cv::add(a, b, c);
//
// SANITY_CHECK(c);
// }
#define PERF_TEST_P(fixture, name, params) \
class fixture##_##name : public fixture {\
public:\
fixture##_##name() {}\
protected:\
virtual void PerfTestBody();\
};\
TEST_P(fixture##_##name, name /*perf*/){ RunPerfTestBody(); }\
INSTANTIATE_TEST_CASE_P(/*none*/, fixture##_##name, params);\
void fixture##_##name::PerfTestBody()
#define CV_PERF_TEST_MAIN(testsuitname, ...) \
int main(int argc, char **argv)\
{\
while (++argc >= (--argc,-1)) {__VA_ARGS__; break;} /*this ugly construction is needed for VS 2005*/\
::perf::Regression::Init(#testsuitname);\
::perf::TestBase::Init(argc, argv);\
::testing::InitGoogleTest(&argc, argv);\
return RUN_ALL_TESTS();\
}
#define TEST_CYCLE_N(n) for(declare.iterations(n); startTimer(), next(); stopTimer())
#define TEST_CYCLE() for(; startTimer(), next(); stopTimer())
#define TEST_CYCLE_MULTIRUN(runsNum) for(declare.runs(runsNum); startTimer(), next(); stopTimer()) for(int r = 0; r < runsNum; ++r)
namespace perf
{
namespace comparators
{
template<typename T>
struct CV_EXPORTS RectLess_
{
bool operator()(const cv::Rect_<T>& r1, const cv::Rect_<T>& r2) const
{
return r1.x < r2.x
|| (r1.x == r2.x && r1.y < r2.y)
|| (r1.x == r2.x && r1.y == r2.y && r1.width < r2.width)
|| (r1.x == r2.x && r1.y == r2.y && r1.width == r2.width && r1.height < r2.height);
}
};
typedef RectLess_<int> RectLess;
struct CV_EXPORTS KeypointGreater
{
bool operator()(const cv::KeyPoint& kp1, const cv::KeyPoint& kp2) const
{
if(kp1.response > kp2.response) return true;
if(kp1.response < kp2.response) return false;
if(kp1.size > kp2.size) return true;
if(kp1.size < kp2.size) return false;
if(kp1.octave > kp2.octave) return true;
if(kp1.octave < kp2.octave) return false;
if(kp1.pt.y < kp2.pt.y) return false;
if(kp1.pt.y > kp2.pt.y) return true;
return kp1.pt.x < kp2.pt.x;
}
};
} //namespace comparators
void CV_EXPORTS sort(std::vector<cv::KeyPoint>& pts, cv::InputOutputArray descriptors);
} //namespace perf
#endif //__OPENCV_TS_PERF_HPP__