Open Source Computer Vision Library https://opencv.org/
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#ifndef __OPENCV_GTESTCV_HPP__
#define __OPENCV_GTESTCV_HPP__
#ifdef HAVE_CVCONFIG_H
#include "cvconfig.h"
#endif
#ifndef GTEST_CREATE_SHARED_LIBRARY
#ifdef BUILD_SHARED_LIBS
#define GTEST_LINKED_AS_SHARED_LIBRARY 1
#endif
#endif
#include <stdarg.h> // for va_list
#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.hpp"
#include "opencv2/core/utility.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, cv::OutputArray 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=0, const Scalar& borderValue=Scalar());
CV_EXPORTS void dilate(const Mat& src, Mat& dst, const Mat& _kernel, Point anchor=Point(-1,-1),
int borderType=0, 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;
template<class F>
int run_test_case( int expected_code, const string& _descr, F f)
{
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);
} //namespace cvtest
#define CV_TEST_MAIN(resourcesubdir) \
int main(int argc, char **argv) \
{ \
cvtest::TS::ptr()->init(resourcesubdir); \
::testing::InitGoogleTest(&argc, argv); \
return RUN_ALL_TESTS(); \
}
#endif
#include "opencv2/ts/ts_perf.hpp"