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2015-10-15 17:07:34 +02:00
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include/opencv2/ts/gpu_perf.hpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// 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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_GPU_PERF_UTILITY_HPP__
#define __OPENCV_GPU_PERF_UTILITY_HPP__
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/ts/ts_perf.hpp"
namespace perf
{
#define ALL_BORDER_MODES BorderMode::all()
#define ALL_INTERPOLATIONS Interpolation::all()
CV_ENUM(BorderMode, BORDER_REFLECT101, BORDER_REPLICATE, BORDER_CONSTANT, BORDER_REFLECT, BORDER_WRAP)
CV_ENUM(Interpolation, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_AREA)
CV_ENUM(NormType, NORM_INF, NORM_L1, NORM_L2, NORM_HAMMING, NORM_MINMAX)
enum { Gray = 1, TwoChannel = 2, BGR = 3, BGRA = 4 };
CV_ENUM(MatCn, Gray, TwoChannel, BGR, BGRA)
#define GPU_CHANNELS_1_3_4 testing::Values(MatCn(Gray), MatCn(BGR), MatCn(BGRA))
#define GPU_CHANNELS_1_3 testing::Values(MatCn(Gray), MatCn(BGR))
#define GET_PARAM(k) std::tr1::get< k >(GetParam())
#define DEF_PARAM_TEST(name, ...) typedef ::perf::TestBaseWithParam< std::tr1::tuple< __VA_ARGS__ > > name
#define DEF_PARAM_TEST_1(name, param_type) typedef ::perf::TestBaseWithParam< param_type > name
DEF_PARAM_TEST_1(Sz, cv::Size);
typedef perf::Size_MatType Sz_Type;
DEF_PARAM_TEST(Sz_Depth, cv::Size, perf::MatDepth);
DEF_PARAM_TEST(Sz_Depth_Cn, cv::Size, perf::MatDepth, MatCn);
#define GPU_TYPICAL_MAT_SIZES testing::Values(perf::sz720p, perf::szSXGA, perf::sz1080p)
#define FAIL_NO_CPU() FAIL() << "No such CPU implementation analogy"
#define GPU_SANITY_CHECK(mat, ...) \
do{ \
cv::Mat gpu_##mat(mat); \
SANITY_CHECK(gpu_##mat, ## __VA_ARGS__); \
} while(0)
#define CPU_SANITY_CHECK(mat, ...) \
do{ \
cv::Mat cpu_##mat(mat); \
SANITY_CHECK(cpu_##mat, ## __VA_ARGS__); \
} while(0)
CV_EXPORTS cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
struct CvtColorInfo
{
int scn;
int dcn;
int code;
CvtColorInfo() {}
explicit CvtColorInfo(int scn_, int dcn_, int code_) : scn(scn_), dcn(dcn_), code(code_) {}
};
CV_EXPORTS void PrintTo(const CvtColorInfo& info, std::ostream* os);
CV_EXPORTS void printCudaInfo();
CV_EXPORTS void sortKeyPoints(std::vector<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors = cv::noArray());
}
#endif // __OPENCV_GPU_PERF_UTILITY_HPP__
include/opencv2/ts/gpu_test.hpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// 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) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// 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,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef __OPENCV_GPU_TEST_UTILITY_HPP__
#define __OPENCV_GPU_TEST_UTILITY_HPP__
#include "opencv2/core/core.hpp"
#include "opencv2/core/gpumat.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/ts/ts.hpp"
#include "opencv2/ts/ts_perf.hpp"
namespace cvtest
{
//////////////////////////////////////////////////////////////////////
// random generators
CV_EXPORTS int randomInt(int minVal, int maxVal);
CV_EXPORTS double randomDouble(double minVal, double maxVal);
CV_EXPORTS cv::Size randomSize(int minVal, int maxVal);
CV_EXPORTS cv::Scalar randomScalar(double minVal, double maxVal);
CV_EXPORTS cv::Mat randomMat(cv::Size size, int type, double minVal = 0.0, double maxVal = 255.0);
//////////////////////////////////////////////////////////////////////
// GpuMat create
CV_EXPORTS cv::gpu::GpuMat createMat(cv::Size size, int type, bool useRoi = false);
CV_EXPORTS cv::gpu::GpuMat loadMat(const cv::Mat& m, bool useRoi = false);
//////////////////////////////////////////////////////////////////////
// Image load
//! read image from testdata folder
CV_EXPORTS cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
//! read image from testdata folder and convert it to specified type
CV_EXPORTS cv::Mat readImageType(const std::string& fname, int type);
//////////////////////////////////////////////////////////////////////
// Gpu devices
//! return true if device supports specified feature and gpu module was built with support the feature.
CV_EXPORTS bool supportFeature(const cv::gpu::DeviceInfo& info, cv::gpu::FeatureSet feature);
class CV_EXPORTS DeviceManager
{
public:
static DeviceManager& instance();
void load(int i);
void loadAll();
const std::vector<cv::gpu::DeviceInfo>& values() const { return devices_; }
private:
std::vector<cv::gpu::DeviceInfo> devices_;
};
#define ALL_DEVICES testing::ValuesIn(cvtest::DeviceManager::instance().values())
//////////////////////////////////////////////////////////////////////
// Additional assertion
CV_EXPORTS void minMaxLocGold(const cv::Mat& src, double* minVal_, double* maxVal_ = 0, cv::Point* minLoc_ = 0, cv::Point* maxLoc_ = 0, const cv::Mat& mask = cv::Mat());
CV_EXPORTS cv::Mat getMat(cv::InputArray arr);
CV_EXPORTS testing::AssertionResult assertMatNear(const char* expr1, const char* expr2, const char* eps_expr, cv::InputArray m1, cv::InputArray m2, double eps);
#define EXPECT_MAT_NEAR(m1, m2, eps) EXPECT_PRED_FORMAT3(cvtest::assertMatNear, m1, m2, eps)
#define ASSERT_MAT_NEAR(m1, m2, eps) ASSERT_PRED_FORMAT3(cvtest::assertMatNear, m1, m2, eps)
#define EXPECT_SCALAR_NEAR(s1, s2, eps) \
{ \
EXPECT_NEAR(s1[0], s2[0], eps); \
EXPECT_NEAR(s1[1], s2[1], eps); \
EXPECT_NEAR(s1[2], s2[2], eps); \
EXPECT_NEAR(s1[3], s2[3], eps); \
}
#define ASSERT_SCALAR_NEAR(s1, s2, eps) \
{ \
ASSERT_NEAR(s1[0], s2[0], eps); \
ASSERT_NEAR(s1[1], s2[1], eps); \
ASSERT_NEAR(s1[2], s2[2], eps); \
ASSERT_NEAR(s1[3], s2[3], eps); \
}
#define EXPECT_POINT2_NEAR(p1, p2, eps) \
{ \
EXPECT_NEAR(p1.x, p2.x, eps); \
EXPECT_NEAR(p1.y, p2.y, eps); \
}
#define ASSERT_POINT2_NEAR(p1, p2, eps) \
{ \
ASSERT_NEAR(p1.x, p2.x, eps); \
ASSERT_NEAR(p1.y, p2.y, eps); \
}
#define EXPECT_POINT3_NEAR(p1, p2, eps) \
{ \
EXPECT_NEAR(p1.x, p2.x, eps); \
EXPECT_NEAR(p1.y, p2.y, eps); \
EXPECT_NEAR(p1.z, p2.z, eps); \
}
#define ASSERT_POINT3_NEAR(p1, p2, eps) \
{ \
ASSERT_NEAR(p1.x, p2.x, eps); \
ASSERT_NEAR(p1.y, p2.y, eps); \
ASSERT_NEAR(p1.z, p2.z, eps); \
}
CV_EXPORTS double checkSimilarity(cv::InputArray m1, cv::InputArray m2);
#define EXPECT_MAT_SIMILAR(mat1, mat2, eps) \
{ \
ASSERT_EQ(mat1.type(), mat2.type()); \
ASSERT_EQ(mat1.size(), mat2.size()); \
EXPECT_LE(checkSimilarity(mat1, mat2), eps); \
}
#define ASSERT_MAT_SIMILAR(mat1, mat2, eps) \
{ \
ASSERT_EQ(mat1.type(), mat2.type()); \
ASSERT_EQ(mat1.size(), mat2.size()); \
ASSERT_LE(checkSimilarity(mat1, mat2), eps); \
}
//////////////////////////////////////////////////////////////////////
// Helper structs for value-parameterized tests
#define GPU_TEST_P(test_case_name, test_name) \
class GTEST_TEST_CLASS_NAME_(test_case_name, test_name) \
: public test_case_name { \
public: \
GTEST_TEST_CLASS_NAME_(test_case_name, test_name)() {} \
virtual void TestBody(); \
private: \
void UnsafeTestBody(); \
static int AddToRegistry() { \
::testing::UnitTest::GetInstance()->parameterized_test_registry(). \
GetTestCasePatternHolder<test_case_name>(\
#test_case_name, __FILE__, __LINE__)->AddTestPattern(\
#test_case_name, \
#test_name, \
new ::testing::internal::TestMetaFactory< \
GTEST_TEST_CLASS_NAME_(test_case_name, test_name)>()); \
return 0; \
} \
static int gtest_registering_dummy_; \
GTEST_DISALLOW_COPY_AND_ASSIGN_(\
GTEST_TEST_CLASS_NAME_(test_case_name, test_name)); \
}; \
int GTEST_TEST_CLASS_NAME_(test_case_name, \
test_name)::gtest_registering_dummy_ = \
GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::AddToRegistry(); \
void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::TestBody() \
{ \
try \
{ \
UnsafeTestBody(); \
} \
catch (...) \
{ \
cv::gpu::resetDevice(); \
throw; \
} \
} \
void GTEST_TEST_CLASS_NAME_(test_case_name, test_name)::UnsafeTestBody()
#define PARAM_TEST_CASE(name, ...) struct name : testing::TestWithParam< std::tr1::tuple< __VA_ARGS__ > >
#define GET_PARAM(k) std::tr1::get< k >(GetParam())
#define DIFFERENT_SIZES testing::Values(cv::Size(128, 128), cv::Size(113, 113))
// Depth
using perf::MatDepth;
#define ALL_DEPTH testing::Values(MatDepth(CV_8U), MatDepth(CV_8S), MatDepth(CV_16U), MatDepth(CV_16S), MatDepth(CV_32S), MatDepth(CV_32F), MatDepth(CV_64F))
#define DEPTH_PAIRS testing::Values(std::make_pair(MatDepth(CV_8U), MatDepth(CV_8U)), \
std::make_pair(MatDepth(CV_8U), MatDepth(CV_16U)), \
std::make_pair(MatDepth(CV_8U), MatDepth(CV_16S)), \
std::make_pair(MatDepth(CV_8U), MatDepth(CV_32S)), \
std::make_pair(MatDepth(CV_8U), MatDepth(CV_32F)), \
std::make_pair(MatDepth(CV_8U), MatDepth(CV_64F)), \
\
std::make_pair(MatDepth(CV_16U), MatDepth(CV_16U)), \
std::make_pair(MatDepth(CV_16U), MatDepth(CV_32S)), \
std::make_pair(MatDepth(CV_16U), MatDepth(CV_32F)), \
std::make_pair(MatDepth(CV_16U), MatDepth(CV_64F)), \
\
std::make_pair(MatDepth(CV_16S), MatDepth(CV_16S)), \
std::make_pair(MatDepth(CV_16S), MatDepth(CV_32S)), \
std::make_pair(MatDepth(CV_16S), MatDepth(CV_32F)), \
std::make_pair(MatDepth(CV_16S), MatDepth(CV_64F)), \
\
std::make_pair(MatDepth(CV_32S), MatDepth(CV_32S)), \
std::make_pair(MatDepth(CV_32S), MatDepth(CV_32F)), \
std::make_pair(MatDepth(CV_32S), MatDepth(CV_64F)), \
\
std::make_pair(MatDepth(CV_32F), MatDepth(CV_32F)), \
std::make_pair(MatDepth(CV_32F), MatDepth(CV_64F)), \
\
std::make_pair(MatDepth(CV_64F), MatDepth(CV_64F)))
// Type
using perf::MatType;
//! return vector with types from specified range.
CV_EXPORTS std::vector<MatType> types(int depth_start, int depth_end, int cn_start, int cn_end);
//! return vector with all types (depth: CV_8U-CV_64F, channels: 1-4).
CV_EXPORTS const std::vector<MatType>& all_types();
#define ALL_TYPES testing::ValuesIn(all_types())
#define TYPES(depth_start, depth_end, cn_start, cn_end) testing::ValuesIn(types(depth_start, depth_end, cn_start, cn_end))
// ROI
class UseRoi
{
public:
inline UseRoi(bool val = false) : val_(val) {}
inline operator bool() const { return val_; }
private:
bool val_;
};
CV_EXPORTS void PrintTo(const UseRoi& useRoi, std::ostream* os);
#define WHOLE_SUBMAT testing::Values(UseRoi(false), UseRoi(true))
// Direct/Inverse
class Inverse
{
public:
inline Inverse(bool val = false) : val_(val) {}
inline operator bool() const { return val_; }
private:
bool val_;
};
CV_EXPORTS void PrintTo(const Inverse& useRoi, std::ostream* os);
#define DIRECT_INVERSE testing::Values(Inverse(false), Inverse(true))
// Param class
#define IMPLEMENT_PARAM_CLASS(name, type) \
class name \
{ \
public: \
name ( type arg = type ()) : val_(arg) {} \
operator type () const {return val_;} \
private: \
type val_; \
}; \
inline void PrintTo( name param, std::ostream* os) \
{ \
*os << #name << "(" << testing::PrintToString(static_cast< type >(param)) << ")"; \
}
IMPLEMENT_PARAM_CLASS(Channels, int)
#define ALL_CHANNELS testing::Values(Channels(1), Channels(2), Channels(3), Channels(4))
#define IMAGE_CHANNELS testing::Values(Channels(1), Channels(3), Channels(4))
// Flags and enums
CV_ENUM(NormCode, NORM_INF, NORM_L1, NORM_L2, NORM_TYPE_MASK, NORM_RELATIVE, NORM_MINMAX)
CV_ENUM(Interpolation, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, INTER_AREA)
CV_ENUM(BorderType, BORDER_REFLECT101, BORDER_REPLICATE, BORDER_CONSTANT, BORDER_REFLECT, BORDER_WRAP)
#define ALL_BORDER_TYPES testing::Values(BorderType(cv::BORDER_REFLECT101), BorderType(cv::BORDER_REPLICATE), BorderType(cv::BORDER_CONSTANT), BorderType(cv::BORDER_REFLECT), BorderType(cv::BORDER_WRAP))
CV_FLAGS(WarpFlags, INTER_NEAREST, INTER_LINEAR, INTER_CUBIC, WARP_INVERSE_MAP)
//////////////////////////////////////////////////////////////////////
// Features2D
CV_EXPORTS testing::AssertionResult assertKeyPointsEquals(const char* gold_expr, const char* actual_expr, std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual);
#define ASSERT_KEYPOINTS_EQ(gold, actual) EXPECT_PRED_FORMAT2(assertKeyPointsEquals, gold, actual)
CV_EXPORTS int getMatchedPointsCount(std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual);
CV_EXPORTS int getMatchedPointsCount(const std::vector<cv::KeyPoint>& keypoints1, const std::vector<cv::KeyPoint>& keypoints2, const std::vector<cv::DMatch>& matches);
//////////////////////////////////////////////////////////////////////
// Other
CV_EXPORTS void dumpImage(const std::string& fileName, const cv::Mat& image);
CV_EXPORTS void showDiff(cv::InputArray gold, cv::InputArray actual, double eps);
CV_EXPORTS void printCudaInfo();
}
namespace cv { namespace gpu
{
CV_EXPORTS void PrintTo(const DeviceInfo& info, std::ostream* os);
}}
#endif // __OPENCV_GPU_TEST_UTILITY_HPP__
include/opencv2/ts/ts.hpp
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#ifndef __OPENCV_GTESTCV_HPP__
#define __OPENCV_GTESTCV_HPP__
#include <stdarg.h> // for va_list
#ifdef HAVE_WINRT
#pragma warning(disable:4447) // Disable warning 'main' signature found without threading model
#endif
#ifdef _MSC_VER
#pragma warning( disable: 4127 )
#endif
#define GTEST_DONT_DEFINE_FAIL 0
#define GTEST_DONT_DEFINE_SUCCEED 0
#define GTEST_DONT_DEFINE_ASSERT_EQ 0
#define GTEST_DONT_DEFINE_ASSERT_NE 0
#define GTEST_DONT_DEFINE_ASSERT_LE 0
#define GTEST_DONT_DEFINE_ASSERT_LT 0
#define GTEST_DONT_DEFINE_ASSERT_GE 0
#define GTEST_DONT_DEFINE_ASSERT_GT 0
#define GTEST_DONT_DEFINE_TEST 0
#include "opencv2/ts/ts_gtest.h"
#ifndef GTEST_USES_SIMPLE_RE
# define GTEST_USES_SIMPLE_RE 0
#endif
#ifndef GTEST_USES_POSIX_RE
# define GTEST_USES_POSIX_RE 0
#endif
#include "opencv2/core/core.hpp"
namespace cvtest
{
using std::vector;
using std::string;
using cv::RNG;
using cv::Mat;
using cv::Scalar;
using cv::Size;
using cv::Point;
using cv::Rect;
class CV_EXPORTS TS;
CV_EXPORTS int64 readSeed(const char* str);
CV_EXPORTS void randUni( RNG& rng, Mat& a, const Scalar& param1, const Scalar& param2 );
inline unsigned randInt( RNG& rng )
{
return (unsigned)rng;
}
inline double randReal( RNG& rng )
{
return (double)rng;
}
CV_EXPORTS const char* getTypeName( int type );
CV_EXPORTS int typeByName( const char* type_name );
CV_EXPORTS string vec2str(const string& sep, const int* v, size_t nelems);
inline int clipInt( int val, int min_val, int max_val )
{
if( val < min_val )
val = min_val;
if( val > max_val )
val = max_val;
return val;
}
CV_EXPORTS double getMinVal(int depth);
CV_EXPORTS double getMaxVal(int depth);
CV_EXPORTS Size randomSize(RNG& rng, double maxSizeLog);
CV_EXPORTS void randomSize(RNG& rng, int minDims, int maxDims, double maxSizeLog, vector<int>& sz);
CV_EXPORTS int randomType(RNG& rng, int typeMask, int minChannels, int maxChannels);
CV_EXPORTS Mat randomMat(RNG& rng, Size size, int type, double minVal, double maxVal, bool useRoi);
CV_EXPORTS Mat randomMat(RNG& rng, const vector<int>& size, int type, double minVal, double maxVal, bool useRoi);
CV_EXPORTS void add(const Mat& a, double alpha, const Mat& b, double beta,
Scalar gamma, Mat& c, int ctype, bool calcAbs=false);
CV_EXPORTS void multiply(const Mat& a, const Mat& b, Mat& c, double alpha=1);
CV_EXPORTS void divide(const Mat& a, const Mat& b, Mat& c, double alpha=1);
CV_EXPORTS void convert(const Mat& src, Mat& dst, int dtype, double alpha=1, double beta=0);
CV_EXPORTS void copy(const Mat& src, Mat& dst, const Mat& mask=Mat(), bool invertMask=false);
CV_EXPORTS void set(Mat& dst, const Scalar& gamma, const Mat& mask=Mat());
// working with multi-channel arrays
CV_EXPORTS void extract( const Mat& a, Mat& plane, int coi );
CV_EXPORTS void insert( const Mat& plane, Mat& a, int coi );
// checks that the array does not have NaNs and/or Infs and all the elements are
// within [min_val,max_val). idx is the index of the first "bad" element.
CV_EXPORTS int check( const Mat& data, double min_val, double max_val, vector<int>* idx );
// modifies values that are close to zero
CV_EXPORTS void patchZeros( Mat& mat, double level );
CV_EXPORTS void transpose(const Mat& src, Mat& dst);
CV_EXPORTS void erode(const Mat& src, Mat& dst, const Mat& _kernel, Point anchor=Point(-1,-1),
int borderType=IPL_BORDER_CONSTANT, const Scalar& borderValue=Scalar());
CV_EXPORTS void dilate(const Mat& src, Mat& dst, const Mat& _kernel, Point anchor=Point(-1,-1),
int borderType=IPL_BORDER_CONSTANT, const Scalar& borderValue=Scalar());
CV_EXPORTS void filter2D(const Mat& src, Mat& dst, int ddepth, const Mat& kernel,
Point anchor, double delta, int borderType,
const Scalar& borderValue=Scalar());
CV_EXPORTS void copyMakeBorder(const Mat& src, Mat& dst, int top, int bottom, int left, int right,
int borderType, const Scalar& borderValue=Scalar());
CV_EXPORTS Mat calcSobelKernel2D( int dx, int dy, int apertureSize, int origin=0 );
CV_EXPORTS Mat calcLaplaceKernel2D( int aperture_size );
CV_EXPORTS void initUndistortMap( const Mat& a, const Mat& k, Size sz, Mat& mapx, Mat& mapy );
CV_EXPORTS void minMaxLoc(const Mat& src, double* minval, double* maxval,
vector<int>* minloc, vector<int>* maxloc, const Mat& mask=Mat());
CV_EXPORTS double norm(const Mat& src, int normType, const Mat& mask=Mat());
CV_EXPORTS double norm(const Mat& src1, const Mat& src2, int normType, const Mat& mask=Mat());
CV_EXPORTS Scalar mean(const Mat& src, const Mat& mask=Mat());
CV_EXPORTS bool cmpUlps(const Mat& data, const Mat& refdata, int expMaxDiff, double* realMaxDiff, vector<int>* idx);
// compares two arrays. max_diff is the maximum actual difference,
// success_err_level is maximum allowed difference, idx is the index of the first
// element for which difference is >success_err_level
// (or index of element with the maximum difference)
CV_EXPORTS int cmpEps( const Mat& data, const Mat& refdata, double* max_diff,
double success_err_level, vector<int>* idx,
bool element_wise_relative_error );
// a wrapper for the previous function. in case of error prints the message to log file.
CV_EXPORTS int cmpEps2( TS* ts, const Mat& data, const Mat& refdata, double success_err_level,
bool element_wise_relative_error, const char* desc );
CV_EXPORTS int cmpEps2_64f( TS* ts, const double* val, const double* refval, int len,
double eps, const char* param_name );
CV_EXPORTS void logicOp(const Mat& src1, const Mat& src2, Mat& dst, char c);
CV_EXPORTS void logicOp(const Mat& src, const Scalar& s, Mat& dst, char c);
CV_EXPORTS void min(const Mat& src1, const Mat& src2, Mat& dst);
CV_EXPORTS void min(const Mat& src, double s, Mat& dst);
CV_EXPORTS void max(const Mat& src1, const Mat& src2, Mat& dst);
CV_EXPORTS void max(const Mat& src, double s, Mat& dst);
CV_EXPORTS void compare(const Mat& src1, const Mat& src2, Mat& dst, int cmpop);
CV_EXPORTS void compare(const Mat& src, double s, Mat& dst, int cmpop);
CV_EXPORTS void gemm(const Mat& src1, const Mat& src2, double alpha,
const Mat& src3, double beta, Mat& dst, int flags);
CV_EXPORTS void transform( const Mat& src, Mat& dst, const Mat& transmat, const Mat& shift );
CV_EXPORTS double crossCorr(const Mat& src1, const Mat& src2);
struct CV_EXPORTS MatInfo
{
MatInfo(const Mat& _m) : m(&_m) {}
const Mat* m;
};
CV_EXPORTS std::ostream& operator << (std::ostream& out, const MatInfo& m);
struct CV_EXPORTS MatComparator
{
public:
MatComparator(double maxdiff, int context);
::testing::AssertionResult operator()(const char* expr1, const char* expr2,
const Mat& m1, const Mat& m2);
double maxdiff;
double realmaxdiff;
vector<int> loc0;
int context;
};
class BaseTest;
class TS;
class CV_EXPORTS BaseTest
{
public:
// constructor(s) and destructor
BaseTest();
virtual ~BaseTest();
// the main procedure of the test
virtual void run( int start_from );
// the wrapper for run that cares of exceptions
virtual void safe_run( int start_from=0 );
const string& get_name() const { return name; }
// returns true if and only if the different test cases do not depend on each other
// (so that test system could get right to a problematic test case)
virtual bool can_do_fast_forward();
// deallocates all the memory.
// called by init() (before initialization) and by the destructor
virtual void clear();
protected:
int test_case_count; // the total number of test cases
// read test params
virtual int read_params( CvFileStorage* fs );
// returns the number of tests or -1 if it is unknown a-priori
virtual int get_test_case_count();
// prepares data for the next test case. rng seed is updated by the function
virtual int prepare_test_case( int test_case_idx );
// checks if the test output is valid and accurate
virtual int validate_test_results( int test_case_idx );
// calls the tested function. the method is called from run_test_case()
virtual void run_func(); // runs tested func(s)
// updates progress bar
virtual int update_progress( int progress, int test_case_idx, int count, double dt );
// finds test parameter
const CvFileNode* find_param( CvFileStorage* fs, const char* param_name );
// name of the test (it is possible to locate a test by its name)
string name;
// pointer to the system that includes the test
TS* ts;
};
/*****************************************************************************************\
* Information about a failed test *
\*****************************************************************************************/
struct TestInfo
{
TestInfo();
// pointer to the test
BaseTest* test;
// failure code (CV_FAIL*)
int code;
// seed value right before the data for the failed test case is prepared.
uint64 rng_seed;
// seed value right before running the test
uint64 rng_seed0;
// index of test case, can be then passed to BaseTest::proceed_to_test_case()
int test_case_idx;
};
/*****************************************************************************************\
* Base Class for test system *
\*****************************************************************************************/
// common parameters:
struct CV_EXPORTS TSParams
{
TSParams();
// RNG seed, passed to and updated by every test executed.
uint64 rng_seed;
// whether to use IPP, MKL etc. or not
bool use_optimized;
// extensivity of the tests, scale factor for test_case_count
double test_case_count_scale;
};
class CV_EXPORTS TS
{
public:
// constructor(s) and destructor
TS();
virtual ~TS();
enum
{
NUL=0,
SUMMARY_IDX=0,
SUMMARY=1 << SUMMARY_IDX,
LOG_IDX=1,
LOG=1 << LOG_IDX,
CSV_IDX=2,
CSV=1 << CSV_IDX,
CONSOLE_IDX=3,
CONSOLE=1 << CONSOLE_IDX,
MAX_IDX=4
};
static TS* ptr();
// initialize test system before running the first test
virtual void init( const string& modulename );
// low-level printing functions that are used by individual tests and by the system itself
virtual void printf( int streams, const char* fmt, ... );
virtual void vprintf( int streams, const char* fmt, va_list arglist );
// updates the context: current test, test case, rng state
virtual void update_context( BaseTest* test, int test_case_idx, bool update_ts_context );
const TestInfo* get_current_test_info() { return &current_test_info; }
// sets information about a failed test
virtual void set_failed_test_info( int fail_code );
virtual void set_gtest_status();
// test error codes
enum
{
// everything is Ok
OK=0,
// generic error: stub value to be used
// temporarily if the error's cause is unknown
FAIL_GENERIC=-1,
// the test is missing some essential data to proceed further
FAIL_MISSING_TEST_DATA=-2,
// the tested function raised an error via cxcore error handler
FAIL_ERROR_IN_CALLED_FUNC=-3,
// an exception has been raised;
// for memory and arithmetic exception
// there are two specialized codes (see below...)
FAIL_EXCEPTION=-4,
// a memory exception
// (access violation, access to missed page, stack overflow etc.)
FAIL_MEMORY_EXCEPTION=-5,
// arithmetic exception (overflow, division by zero etc.)
FAIL_ARITHM_EXCEPTION=-6,
// the tested function corrupted memory (no exception have been raised)
FAIL_MEMORY_CORRUPTION_BEGIN=-7,
FAIL_MEMORY_CORRUPTION_END=-8,
// the tested function (or test ifself) do not deallocate some memory
FAIL_MEMORY_LEAK=-9,
// the tested function returned invalid object, e.g. matrix, containing NaNs,
// structure with NULL or out-of-range fields (while it should not)
FAIL_INVALID_OUTPUT=-10,
// the tested function returned valid object, but it does not match to
// the original (or produced by the test) object
FAIL_MISMATCH=-11,
// the tested function returned valid object (a single number or numerical array),
// but it differs too much from the original (or produced by the test) object
FAIL_BAD_ACCURACY=-12,
// the tested function hung. Sometimes, can be determined by unexpectedly long
// processing time (in this case there should be possibility to interrupt such a function
FAIL_HANG=-13,
// unexpected responce on passing bad arguments to the tested function
// (the function crashed, proceed succesfully (while it should not), or returned
// error code that is different from what is expected)
FAIL_BAD_ARG_CHECK=-14,
// the test data (in whole or for the particular test case) is invalid
FAIL_INVALID_TEST_DATA=-15,
// the test has been skipped because it is not in the selected subset of the tests to run,
// because it has been run already within the same run with the same parameters, or because
// of some other reason and this is not considered as an error.
// Normally TS::run() (or overrided method in the derived class) takes care of what
// needs to be run, so this code should not occur.
SKIPPED=1
};
// get file storage
CvFileStorage* get_file_storage();
// get RNG to generate random input data for a test
RNG& get_rng() { return rng; }
// returns the current error code
int get_err_code() { return current_test_info.code; }
// returns the test extensivity scale
double get_test_case_count_scale() { return params.test_case_count_scale; }
const string& get_data_path() const { return data_path; }
// returns textual description of failure code
static string str_from_code( int code );
protected:
// these are allocated within a test to try keep them valid in case of stack corruption
RNG rng;
// information about the current test
TestInfo current_test_info;
// the path to data files used by tests
string data_path;
TSParams params;
std::string output_buf[MAX_IDX];
};
/*****************************************************************************************\
* Subclass of BaseTest for testing functions that process dense arrays *
\*****************************************************************************************/
class CV_EXPORTS ArrayTest : public BaseTest
{
public:
// constructor(s) and destructor
ArrayTest();
virtual ~ArrayTest();
virtual void clear();
protected:
virtual int read_params( CvFileStorage* fs );
virtual int prepare_test_case( int test_case_idx );
virtual int validate_test_results( int test_case_idx );
virtual void prepare_to_validation( int test_case_idx );
virtual void get_test_array_types_and_sizes( int test_case_idx, vector<vector<Size> >& sizes, vector<vector<int> >& types );
virtual void fill_array( int test_case_idx, int i, int j, Mat& arr );
virtual void get_minmax_bounds( int i, int j, int type, Scalar& low, Scalar& high );
virtual double get_success_error_level( int test_case_idx, int i, int j );
bool cvmat_allowed;
bool iplimage_allowed;
bool optional_mask;
bool element_wise_relative_error;
int min_log_array_size;
int max_log_array_size;
enum { INPUT, INPUT_OUTPUT, OUTPUT, REF_INPUT_OUTPUT, REF_OUTPUT, TEMP, MASK, MAX_ARR };
vector<vector<void*> > test_array;
vector<vector<Mat> > test_mat;
float buf[4];
};
class CV_EXPORTS BadArgTest : public BaseTest
{
public:
// constructor(s) and destructor
BadArgTest();
virtual ~BadArgTest();
protected:
virtual int run_test_case( int expected_code, const string& descr );
virtual void run_func(void) = 0;
int test_case_idx;
int progress;
double t, freq;
template<class F>
int run_test_case( int expected_code, const string& _descr, F f)
{
double new_t = (double)cv::getTickCount(), dt;
if( test_case_idx < 0 )
{
test_case_idx = 0;
progress = 0;
dt = 0;
}
else
{
dt = (new_t - t)/(freq*1000);
t = new_t;
}
progress = update_progress(progress, test_case_idx, 0, dt);
int errcount = 0;
bool thrown = false;
const char* descr = _descr.c_str() ? _descr.c_str() : "";
try
{
f();
}
catch(const cv::Exception& e)
{
thrown = true;
if( e.code != expected_code )
{
ts->printf(TS::LOG, "%s (test case #%d): the error code %d is different from the expected %d\n",
descr, test_case_idx, e.code, expected_code);
errcount = 1;
}
}
catch(...)
{
thrown = true;
ts->printf(TS::LOG, "%s (test case #%d): unknown exception was thrown (the function has likely crashed)\n",
descr, test_case_idx);
errcount = 1;
}
if(!thrown)
{
ts->printf(TS::LOG, "%s (test case #%d): no expected exception was thrown\n",
descr, test_case_idx);
errcount = 1;
}
test_case_idx++;
return errcount;
}
};
struct CV_EXPORTS DefaultRngAuto
{
const uint64 old_state;
DefaultRngAuto() : old_state(cv::theRNG().state) { cv::theRNG().state = (uint64)-1; }
~DefaultRngAuto() { cv::theRNG().state = old_state; }
DefaultRngAuto& operator=(const DefaultRngAuto&);
};
}
namespace cvtest
{
// test images generation functions
CV_EXPORTS void fillGradient(Mat& img, int delta = 5);
CV_EXPORTS void smoothBorder(Mat& img, const Scalar& color, int delta = 3);
CV_EXPORTS void printVersionInfo(bool useStdOut = true);
} //namespace cvtest
// fills c with zeros
CV_EXPORTS void cvTsZero( CvMat* c, const CvMat* mask=0 );
// copies a to b (whole matrix or only the selected region)
CV_EXPORTS void cvTsCopy( const CvMat* a, CvMat* b, const CvMat* mask=0 );
// converts one array to another
CV_EXPORTS void cvTsConvert( const CvMat* src, CvMat* dst );
CV_EXPORTS void cvTsGEMM( const CvMat* a, const CvMat* b, double alpha,
const CvMat* c, double beta, CvMat* d, int flags );
#ifndef __CV_TEST_EXEC_ARGS
#if defined(_MSC_VER) && (_MSC_VER <= 1400)
#define __CV_TEST_EXEC_ARGS(...) \
while (++argc >= (--argc,-1)) {__VA_ARGS__; break;} /*this ugly construction is needed for VS 2005*/
#else
#define __CV_TEST_EXEC_ARGS(...) \
__VA_ARGS__;
#endif
#endif
#define CV_TEST_MAIN(resourcesubdir, ...) \
int main(int argc, char **argv) \
{ \
cvtest::TS::ptr()->init(resourcesubdir); \
::testing::InitGoogleTest(&argc, argv); \
cvtest::printVersionInfo(); \
__CV_TEST_EXEC_ARGS(__VA_ARGS__) \
return RUN_ALL_TESTS(); \
}
// This usually only makes sense in perf tests with several implementations,
// some of which are not available.
#define CV_TEST_FAIL_NO_IMPL() do { \
::testing::Test::RecordProperty("custom_status", "noimpl"); \
FAIL() << "No equivalent implementation."; \
} while (0)
#endif
#include "ts_perf.hpp"
include/opencv2/ts/ts_gtest.h
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include/opencv2/ts/ts_perf.hpp
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#ifndef __OPENCV_TS_PERF_HPP__
#define __OPENCV_TS_PERF_HPP__
#include "opencv2/core/core.hpp"
#include "opencv2/imgproc/imgproc.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
// declare major namespaces to avoid errors on unknown namespace
namespace cv { namespace gpu {} namespace ocl {} }
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 { \
struct class_name { \
class_name(int val = 0) : val_(val) {} \
operator int() const { return val_; } \
void PrintTo(std::ostream* os) const { \
using namespace cv;using namespace cv::gpu; using namespace cv::ocl; \
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"; \
} \
static ::testing::internal::ParamGenerator<class_name> all() { \
using namespace cv;using namespace cv::gpu; using namespace cv::ocl; \
static class_name vals[] = { __VA_ARGS__ }; \
return ::testing::ValuesIn(vals); \
} \
private: int val_; \
}; \
inline void PrintTo(const class_name& t, std::ostream* os) { t.PrintTo(os); } }
#define CV_FLAGS(class_name, ...) \
namespace { \
struct class_name { \
class_name(int val = 0) : val_(val) {} \
operator int() const { return val_; } \
void PrintTo(std::ostream* os) const { \
using namespace cv;using namespace cv::gpu; using namespace cv::ocl; \
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__)
#define SANITY_CHECK_NOTHING() this->setVerified();
class CV_EXPORTS GpuPerf
{
public:
static bool targetDevice();
};
#define PERF_RUN_GPU() ::perf::GpuPerf::targetDevice()
/*****************************************************************************************\
* 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_SKIP_TEST = 4, // there are some limitations and test should be skipped
TERM_UNKNOWN = -1
};
performance_metrics();
void clear();
} performance_metrics;
/*****************************************************************************************\
* Strategy for performance measuring *
\*****************************************************************************************/
enum PERF_STRATEGY
{
PERF_STRATEGY_BASE = 0,
PERF_STRATEGY_SIMPLE = 1,
};
/*****************************************************************************************\
* Base fixture for performance tests *
\*****************************************************************************************/
class CV_EXPORTS TestBase: public ::testing::Test
{
public:
TestBase();
static void Init(int argc, const char* const argv[]);
static void Init(const std::vector<std::string> & availableImpls,
int argc, const char* const argv[]);
static void RecordRunParameters();
static std::string getDataPath(const std::string& relativePath);
static std::string getSelectedImpl();
static enum PERF_STRATEGY getPerformanceStrategy();
static enum PERF_STRATEGY setPerformanceStrategy(enum PERF_STRATEGY strategy);
class PerfSkipTestException: public cv::Exception {};
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;
bool verified;
public:
_declareHelper declare;
void setVerified() { this->verified = true; }
};
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()
#ifndef __CV_TEST_EXEC_ARGS
#if defined(_MSC_VER) && (_MSC_VER <= 1400)
#define __CV_TEST_EXEC_ARGS(...) \
while (++argc >= (--argc,-1)) {__VA_ARGS__; break;} /*this ugly construction is needed for VS 2005*/
#else
#define __CV_TEST_EXEC_ARGS(...) \
__VA_ARGS__;
#endif
#endif
#define CV_PERF_TEST_MAIN_INTERNALS(modulename, impls, ...) \
::perf::Regression::Init(#modulename); \
::perf::TestBase::Init(std::vector<std::string>(impls, impls + sizeof impls / sizeof *impls), \
argc, argv); \
::testing::InitGoogleTest(&argc, argv); \
cvtest::printVersionInfo(); \
::testing::Test::RecordProperty("cv_module_name", #modulename); \
::perf::TestBase::RecordRunParameters(); \
__CV_TEST_EXEC_ARGS(__VA_ARGS__) \
return RUN_ALL_TESTS();
// impls must be an array, not a pointer; "plain" should always be one of the implementations
#define CV_PERF_TEST_MAIN_WITH_IMPLS(modulename, impls, ...) \
int main(int argc, char **argv)\
{\
CV_PERF_TEST_MAIN_INTERNALS(modulename, impls, __VA_ARGS__)\
}
#define CV_PERF_TEST_MAIN(modulename, ...) \
int main(int argc, char **argv)\
{\
const char * plain_only[] = { "plain" };\
CV_PERF_TEST_MAIN_INTERNALS(modulename, plain_only, __VA_ARGS__)\
}
#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__