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Hid symbols in static builds, added LTO flags, removed exports from ts

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pull/8198/head
Pavel Rojtberg 8 years ago committed by Maksim Shabunin
parent ef04ca9e0f
commit 6fb9d42c3f
25 changed files with 174 additions and 375 deletions
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  1. 3
      CMakeLists.txt
  2. 26
      apps/traincascade/old_ml.hpp
  3. 191
      apps/traincascade/old_ml_inner_functions.cpp
  4. 2
      apps/traincascade/old_ml_tree.cpp
  5. 24
      cmake/OpenCVCompilerOptions.cmake
  6. 11
      cmake/OpenCVModule.cmake
  7. 20
      modules/core/include/opencv2/core/cvdef.h
  8. 2
      modules/core/include/opencv2/core/private.hpp
  9. 1
      modules/core/test/test_precomp.hpp
  10. 4
      modules/features2d/include/opencv2/features2d.hpp
  11. 5
      modules/flann/include/opencv2/flann/dummy.h
  12. 1
      modules/flann/src/flann.cpp
  13. 1
      modules/flann/src/precomp.hpp
  14. 5
      modules/java/CMakeLists.txt
  15. 1
      modules/python/common.cmake
  16. 8
      modules/stitching/include/opencv2/stitching/detail/warpers.hpp
  17. 136
      modules/ts/include/opencv2/ts.hpp
  18. 8
      modules/ts/include/opencv2/ts/cuda_perf.hpp
  19. 54
      modules/ts/include/opencv2/ts/cuda_test.hpp
  20. 4
      modules/ts/include/opencv2/ts/ocl_perf.hpp
  21. 12
      modules/ts/include/opencv2/ts/ocl_test.hpp
  22. 2
      modules/ts/include/opencv2/ts/ts_gtest.h
  23. 22
      modules/ts/include/opencv2/ts/ts_perf.hpp
  24. 2
      modules/ts/src/cuda_test.cpp
  25. 4
      modules/ts/src/ts.cpp

3
CMakeLists.txt
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@ -29,6 +29,8 @@ else()
cmake_minimum_required(VERSION "${MIN_VER_CMAKE}" FATAL_ERROR)
endif()
set(CMAKE_POSITION_INDEPENDENT_CODE TRUE)
# Following block can break build in case of cross-compilng
# but CMAKE_CROSSCOMPILING variable will be set only on project(OpenCV) command
# so we will try to detect cross-compiling by presense of CMAKE_TOOLCHAIN_FILE
@ -311,6 +313,7 @@ OCV_OPTION(ENABLE_IMPL_COLLECTION "Collect implementation data on function c
OCV_OPTION(ENABLE_INSTRUMENTATION "Instrument functions to collect calls trace and performance" OFF )
OCV_OPTION(ENABLE_GNU_STL_DEBUG "Enable GNU STL Debug mode (defines _GLIBCXX_DEBUG)" OFF IF ((NOT CMAKE_VERSION VERSION_LESS "2.8.11") AND CMAKE_COMPILER_IS_GNUCXX) )
OCV_OPTION(ENABLE_BUILD_HARDENING "Enable hardening of the resulting binaries (against security attacks, detects memory corruption, etc)" OFF)
OCV_OPTION(ENABLE_LTO "Enable Link Time Optimization" OFF IF CMAKE_COMPILER_IS_GNUCXX OR MSVC)
OCV_OPTION(GENERATE_ABI_DESCRIPTOR "Generate XML file for abi_compliance_checker tool" OFF IF UNIX)
OCV_OPTION(CV_ENABLE_INTRINSICS "Use intrinsic-based optimized code" ON )
OCV_OPTION(CV_DISABLE_OPTIMIZATION "Disable explicit optimized code (dispatched code/intrinsics/loop unrolling/etc)" OFF )

26
apps/traincascade/old_ml.hpp
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@ -1895,32 +1895,6 @@ protected:
cv::RNG* rng;
};
/****************************************************************************************\
* Auxilary functions declarations *
\****************************************************************************************/
/* Generates <sample> from multivariate normal distribution, where <mean> - is an
average row vector, <cov> - symmetric covariation matrix */
CVAPI(void) cvRandMVNormal( CvMat* mean, CvMat* cov, CvMat* sample,
CvRNG* rng CV_DEFAULT(0) );
/* Generates sample from gaussian mixture distribution */
CVAPI(void) cvRandGaussMixture( CvMat* means[],
CvMat* covs[],
float weights[],
int clsnum,
CvMat* sample,
CvMat* sampClasses CV_DEFAULT(0) );
#define CV_TS_CONCENTRIC_SPHERES 0
/* creates test set */
CVAPI(void) cvCreateTestSet( int type, CvMat** samples,
int num_samples,
int num_features,
CvMat** responses,
int num_classes, ... );
/****************************************************************************************\
* Data *
\****************************************************************************************/

191
apps/traincascade/old_ml_inner_functions.cpp
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@ -114,153 +114,11 @@ void CvStatModel::write( CvFileStorage*, const char* ) const
OPENCV_ERROR( CV_StsNotImplemented, "CvStatModel::write", "" );
}
void CvStatModel::read( CvFileStorage*, CvFileNode* )
{
OPENCV_ERROR( CV_StsNotImplemented, "CvStatModel::read", "" );
}
/* Calculates upper triangular matrix S, where A is a symmetrical matrix A=S'*S */
static void cvChol( CvMat* A, CvMat* S )
{
int dim = A->rows;
int i, j, k;
float sum;
for( i = 0; i < dim; i++ )
{
for( j = 0; j < i; j++ )
CV_MAT_ELEM(*S, float, i, j) = 0;
sum = 0;
for( k = 0; k < i; k++ )
sum += CV_MAT_ELEM(*S, float, k, i) * CV_MAT_ELEM(*S, float, k, i);
CV_MAT_ELEM(*S, float, i, i) = (float)sqrt(CV_MAT_ELEM(*A, float, i, i) - sum);
for( j = i + 1; j < dim; j++ )
{
sum = 0;
for( k = 0; k < i; k++ )
sum += CV_MAT_ELEM(*S, float, k, i) * CV_MAT_ELEM(*S, float, k, j);
CV_MAT_ELEM(*S, float, i, j) =
(CV_MAT_ELEM(*A, float, i, j) - sum) / CV_MAT_ELEM(*S, float, i, i);
}
}
}
/* Generates <sample> from multivariate normal distribution, where <mean> - is an
average row vector, <cov> - symmetric covariation matrix */
CV_IMPL void cvRandMVNormal( CvMat* mean, CvMat* cov, CvMat* sample, CvRNG* rng )
{
int dim = sample->cols;
int amount = sample->rows;
CvRNG state = rng ? *rng : cvRNG( cvGetTickCount() );
cvRandArr(&state, sample, CV_RAND_NORMAL, cvScalarAll(0), cvScalarAll(1) );
CvMat* utmat = cvCreateMat(dim, dim, sample->type);
CvMat* vect = cvCreateMatHeader(1, dim, sample->type);
cvChol(cov, utmat);
int i;
for( i = 0; i < amount; i++ )
{
cvGetRow(sample, vect, i);
cvMatMulAdd(vect, utmat, mean, vect);
}
cvReleaseMat(&vect);
cvReleaseMat(&utmat);
}
/* Generates <sample> of <amount> points from a discrete variate xi,
where Pr{xi = k} == probs[k], 0 < k < len - 1. */
static void cvRandSeries( float probs[], int len, int sample[], int amount )
{
CvMat* univals = cvCreateMat(1, amount, CV_32FC1);
float* knots = (float*)cvAlloc( len * sizeof(float) );
int i, j;
CvRNG state = cvRNG(-1);
cvRandArr(&state, univals, CV_RAND_UNI, cvScalarAll(0), cvScalarAll(1) );
knots[0] = probs[0];
for( i = 1; i < len; i++ )
knots[i] = knots[i - 1] + probs[i];
for( i = 0; i < amount; i++ )
for( j = 0; j < len; j++ )
{
if ( CV_MAT_ELEM(*univals, float, 0, i) <= knots[j] )
{
sample[i] = j;
break;
}
}
cvFree(&knots);
}
/* Generates <sample> from gaussian mixture distribution */
CV_IMPL void cvRandGaussMixture( CvMat* means[],
CvMat* covs[],
float weights[],
int clsnum,
CvMat* sample,
CvMat* sampClasses )
{
int dim = sample->cols;
int amount = sample->rows;
int i, clss;
int* sample_clsnum = (int*)cvAlloc( amount * sizeof(int) );
CvMat** utmats = (CvMat**)cvAlloc( clsnum * sizeof(CvMat*) );
CvMat* vect = cvCreateMatHeader(1, dim, CV_32FC1);
CvMat* classes;
if( sampClasses )
classes = sampClasses;
else
classes = cvCreateMat(1, amount, CV_32FC1);
CvRNG state = cvRNG(-1);
cvRandArr(&state, sample, CV_RAND_NORMAL, cvScalarAll(0), cvScalarAll(1));
cvRandSeries(weights, clsnum, sample_clsnum, amount);
for( i = 0; i < clsnum; i++ )
{
utmats[i] = cvCreateMat(dim, dim, CV_32FC1);
cvChol(covs[i], utmats[i]);
}
for( i = 0; i < amount; i++ )
{
CV_MAT_ELEM(*classes, float, 0, i) = (float)sample_clsnum[i];
cvGetRow(sample, vect, i);
clss = sample_clsnum[i];
cvMatMulAdd(vect, utmats[clss], means[clss], vect);
}
if( !sampClasses )
cvReleaseMat(&classes);
for( i = 0; i < clsnum; i++ )
cvReleaseMat(&utmats[i]);
cvFree(&utmats);
cvFree(&sample_clsnum);
cvReleaseMat(&vect);
}
CvMat* icvGenerateRandomClusterCenters ( int seed, const CvMat* data,
int num_of_clusters, CvMat* _centers )
{
@ -317,55 +175,6 @@ CvMat* icvGenerateRandomClusterCenters ( int seed, const CvMat* data,
return _centers ? _centers : centers;
} // end of icvGenerateRandomClusterCenters
// By S. Dilman - begin -
#define ICV_RAND_MAX 4294967296 // == 2^32
// static void cvRandRoundUni (CvMat* center,
// float radius_small,
// float radius_large,
// CvMat* desired_matrix,
// CvRNG* rng_state_ptr)
// {
// float rad, norm, coefficient;
// int dim, size, i, j;
// CvMat *cov, sample;
// CvRNG rng_local;
// CV_FUNCNAME("cvRandRoundUni");
// __BEGIN__
// rng_local = *rng_state_ptr;
// CV_ASSERT ((radius_small >= 0) &&
// (radius_large > 0) &&
// (radius_small <= radius_large));
// CV_ASSERT (center && desired_matrix && rng_state_ptr);
// CV_ASSERT (center->rows == 1);
// CV_ASSERT (center->cols == desired_matrix->cols);
// dim = desired_matrix->cols;
// size = desired_matrix->rows;
// cov = cvCreateMat (dim, dim, CV_32FC1);
// cvSetIdentity (cov);
// cvRandMVNormal (center, cov, desired_matrix, &rng_local);
// for (i = 0; i < size; i++)
// {
// rad = (float)(cvRandReal(&rng_local)*(radius_large - radius_small) + radius_small);
// cvGetRow (desired_matrix, &sample, i);
// norm = (float) cvNorm (&sample, 0, CV_L2);
// coefficient = rad / norm;
// for (j = 0; j < dim; j++)
// CV_MAT_ELEM (sample, float, 0, j) *= coefficient;
// }
// __END__
// }
// By S. Dilman - end -
static int CV_CDECL
icvCmpIntegers( const void* a, const void* b )
{

2
apps/traincascade/old_ml_tree.cpp
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@ -1880,7 +1880,7 @@ double CvDTree::calc_node_dir( CvDTreeNode* node )
namespace cv
{
template<> CV_EXPORTS void DefaultDeleter<CvDTreeSplit>::operator ()(CvDTreeSplit* obj) const
template<> void DefaultDeleter<CvDTreeSplit>::operator ()(CvDTreeSplit* obj) const
{
fastFree(obj);
}

24
cmake/OpenCVCompilerOptions.cmake
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@ -178,10 +178,15 @@ if(CMAKE_COMPILER_IS_GNUCXX)
OPENCV_EXTRA_FLAGS_RELEASE OPENCV_EXTRA_FLAGS_DEBUG OPENCV_EXTRA_C_FLAGS OPENCV_EXTRA_CXX_FLAGS)
string(REPLACE "-fomit-frame-pointer" "" ${flags} "${${flags}}")
string(REPLACE "-ffunction-sections" "" ${flags} "${${flags}}")
string(REPLACE "-fdata-sections" "" ${flags} "${${flags}}")
endforeach()
elseif(NOT ((IOS OR ANDROID) AND NOT BUILD_SHARED_LIBS))
# Remove unreferenced functions: function level linking
add_extra_compiler_option(-ffunction-sections)
add_extra_compiler_option(-fdata-sections)
if(NOT APPLE)
set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -Wl,--gc-sections")
endif()
endif()
if(ENABLE_COVERAGE)
@ -195,6 +200,10 @@ if(CMAKE_COMPILER_IS_GNUCXX)
set(WITH_VTK OFF) # There are issues with VTK 6.0
endif()
if(ENABLE_LTO)
add_extra_compiler_option(-flto)
endif()
set(OPENCV_EXTRA_FLAGS_RELEASE "${OPENCV_EXTRA_FLAGS_RELEASE} -DNDEBUG")
if(NOT " ${CMAKE_CXX_FLAGS} ${CMAKE_CXX_FLAGS_DEBUG} " MATCHES "-O")
set(OPENCV_EXTRA_FLAGS_DEBUG "${OPENCV_EXTRA_FLAGS_DEBUG} -O0")
@ -229,6 +238,12 @@ if(MSVC)
if(OPENCV_WARNINGS_ARE_ERRORS)
set(OPENCV_EXTRA_FLAGS "${OPENCV_EXTRA_FLAGS} /WX")
endif()
if(ENABLE_LTO)
set(OPENCV_EXTRA_FLAGS "${OPENCV_EXTRA_FLAGS} /GL")
set(OPENCV_EXTRA_EXE_LINKER_FLAGS "${OPENCV_EXTRA_EXE_LINKER_FLAGS} /LTCG")
endif()
endif()
if(MSVC12 AND NOT CMAKE_GENERATOR MATCHES "Visual Studio")
@ -241,15 +256,6 @@ if(WINRT_PHONE AND WINRT_8_0)
set(OPENCV_EXTRA_CXX_FLAGS "${OPENCV_EXTRA_CXX_FLAGS} /AI\$(WindowsSDK_MetadataPath)")
endif()
# Extra link libs if the user selects building static libs:
if(NOT BUILD_SHARED_LIBS AND CMAKE_COMPILER_IS_GNUCXX AND NOT ANDROID)
# Android does not need these settings because they are already set by toolchain file
if(NOT MINGW)
set(OPENCV_LINKER_LIBS ${OPENCV_LINKER_LIBS} stdc++)
endif()
set(OPENCV_EXTRA_FLAGS "-fPIC ${OPENCV_EXTRA_FLAGS}")
endif()
include(cmake/OpenCVCompilerOptimizations.cmake)
if(COMMAND ocv_compiler_optimization_options)

11
cmake/OpenCVModule.cmake
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@ -852,7 +852,6 @@ macro(_ocv_create_module)
${${the_module}_pch}
${_VS_VERSION_FILE}
)
set_target_properties(${the_module} PROPERTIES LABELS "${OPENCV_MODULE_${the_module}_LABEL};Module")
set_source_files_properties(${OPENCV_MODULE_${the_module}_HEADERS} ${OPENCV_MODULE_${the_module}_SOURCES} ${${the_module}_pch}
PROPERTIES LABELS "${OPENCV_MODULE_${the_module}_LABEL};Module")
@ -879,8 +878,13 @@ macro(_ocv_create_module)
COMPILE_PDB_OUTPUT_DIRECTORY ${LIBRARY_OUTPUT_PATH}
LIBRARY_OUTPUT_DIRECTORY ${LIBRARY_OUTPUT_PATH}
RUNTIME_OUTPUT_DIRECTORY ${EXECUTABLE_OUTPUT_PATH}
DEFINE_SYMBOL CVAPI_EXPORTS
)
if(ANDROID AND BUILD_FAT_JAVA_LIB)
target_compile_definitions(${the_module} PRIVATE CVAPI_EXPORTS)
endif()
# For dynamic link numbering convenions
if(NOT ANDROID)
# Android SDK build scripts can include only .so files into final .apk
@ -891,11 +895,6 @@ macro(_ocv_create_module)
)
endif()
if((NOT DEFINED OPENCV_MODULE_TYPE AND BUILD_SHARED_LIBS)
OR (DEFINED OPENCV_MODULE_TYPE AND OPENCV_MODULE_TYPE STREQUAL SHARED))
set_target_properties(${the_module} PROPERTIES DEFINE_SYMBOL CVAPI_EXPORTS)
endif()
if (ENABLE_GNU_STL_DEBUG)
target_compile_definitions(${the_module} PUBLIC _GLIBCXX_DEBUG)
endif()

20
modules/core/include/opencv2/core/cvdef.h
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@ -248,12 +248,22 @@ Cv64suf;
# define DISABLE_OPENCV_24_COMPATIBILITY
#endif
#if (defined _WIN32 || defined WINCE || defined __CYGWIN__) && defined CVAPI_EXPORTS
# define CV_EXPORTS __declspec(dllexport)
#elif defined __GNUC__ && __GNUC__ >= 4
# define CV_EXPORTS __attribute__ ((visibility ("default")))
#ifdef CVAPI_EXPORTS
# if (defined _WIN32 || defined WINCE || defined __CYGWIN__)
# define CV_EXPORTS __declspec(dllexport)
# elif defined __GNUC__ && __GNUC__ >= 4
# define CV_EXPORTS __attribute__ ((visibility ("default")))
# endif
#endif
#ifndef CV_EXPORTS
# define CV_EXPORTS
#endif
#ifdef _MSC_VER
# define CV_EXPORTS_TEMPLATE
#else
# define CV_EXPORTS
# define CV_EXPORTS_TEMPLATE CV_EXPORTS
#endif
#ifndef CV_DEPRECATED

2
modules/core/include/opencv2/core/private.hpp
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@ -162,7 +162,7 @@ CV_EXPORTS void scalarToRawData(const cv::Scalar& s, void* buf, int type, int un
//! Allocate all memory buffers which will not be freed, ease filtering memcheck issues
template <typename T>
CV_EXPORTS T* allocSingleton(size_t count) { return static_cast<T*>(fastMalloc(sizeof(T) * count)); }
T* allocSingleton(size_t count) { return static_cast<T*>(fastMalloc(sizeof(T) * count)); }
}
// property implementation macros

1
modules/core/test/test_precomp.hpp
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@ -11,6 +11,7 @@
#include <iostream>
#include "opencv2/ts.hpp"
#include "opencv2/ts/ocl_test.hpp"
#include "opencv2/core/core_c.h"
#include "opencv2/core/cvdef.h"

4
modules/features2d/include/opencv2/features2d.hpp
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@ -786,7 +786,7 @@ struct CV_EXPORTS SL2
* Euclidean distance functor
*/
template<class T>
struct CV_EXPORTS L2
struct L2
{
enum { normType = NORM_L2 };
typedef T ValueType;
@ -802,7 +802,7 @@ struct CV_EXPORTS L2
* Manhattan distance (city block distance) functor
*/
template<class T>
struct CV_EXPORTS L1
struct L1
{
enum { normType = NORM_L1 };
typedef T ValueType;

5
modules/flann/include/opencv2/flann/dummy.h
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@ -5,10 +5,7 @@
namespace cvflann
{
#if (defined _WIN32 || defined WINCE) && defined CVAPI_EXPORTS
__declspec(dllexport)
#endif
void dummyfunc();
CV_DEPRECATED inline void dummyfunc() {}
}

1
modules/flann/src/flann.cpp
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@ -53,5 +53,4 @@ namespace cvflann
flann_distance_type_ = distance_type;
}
void dummyfunc() {}
}

1
modules/flann/src/precomp.hpp
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@ -14,7 +14,6 @@
#include "opencv2/flann/params.h"
#include "opencv2/flann/saving.h"
#include "opencv2/flann/general.h"
#include "opencv2/flann/dummy.h"
// index types
#include "opencv2/flann/all_indices.h"

5
modules/java/CMakeLists.txt
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@ -421,8 +421,8 @@ endif()
ocv_add_library(${the_module} SHARED ${handwritten_h_sources} ${handwritten_cpp_sources} ${generated_cpp_sources}
${copied_files}
"${JAR_FILE}" "${JAR_FILE}.dephelper")
${copied_files}
"${JAR_FILE}" "${JAR_FILE}.dephelper")
if(BUILD_FAT_JAVA_LIB)
set(__deps ${OPENCV_MODULE_${the_module}_DEPS} ${OPENCV_MODULES_BUILD})
@ -456,6 +456,7 @@ set_target_properties(${the_module} PROPERTIES
ARCHIVE_OUTPUT_DIRECTORY ${LIBRARY_OUTPUT_PATH}
LIBRARY_OUTPUT_DIRECTORY ${LIBRARY_OUTPUT_PATH}
RUNTIME_OUTPUT_DIRECTORY ${EXECUTABLE_OUTPUT_PATH}
DEFINE_SYMBOL CVAPI_EXPORTS
)
if(ANDROID)

1
modules/python/common.cmake
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@ -109,6 +109,7 @@ endif()
set_target_properties(${the_module} PROPERTIES
LIBRARY_OUTPUT_DIRECTORY "${LIBRARY_OUTPUT_PATH}/${MODULE_INSTALL_SUBDIR}"
ARCHIVE_OUTPUT_NAME ${the_module} # prevent name conflict for python2/3 outputs
DEFINE_SYMBOL CVAPI_EXPORTS
PREFIX ""
OUTPUT_NAME cv2
SUFFIX ${CVPY_SUFFIX})

8
modules/stitching/include/opencv2/stitching/detail/warpers.hpp
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@ -138,7 +138,7 @@ struct CV_EXPORTS ProjectorBase
/** @brief Base class for rotation-based warper using a detail::ProjectorBase_ derived class.
*/
template <class P>
class CV_EXPORTS RotationWarperBase : public RotationWarper
class CV_EXPORTS_TEMPLATE RotationWarperBase : public RotationWarper
{
public:
Point2f warpPoint(const Point2f &pt, InputArray K, InputArray R);
@ -550,7 +550,7 @@ private:
};
struct SphericalPortraitProjector : ProjectorBase
struct CV_EXPORTS SphericalPortraitProjector : ProjectorBase
{
void mapForward(float x, float y, float &u, float &v);
void mapBackward(float u, float v, float &x, float &y);
@ -568,7 +568,7 @@ protected:
void detectResultRoi(Size src_size, Point &dst_tl, Point &dst_br);
};
struct CylindricalPortraitProjector : ProjectorBase
struct CV_EXPORTS CylindricalPortraitProjector : ProjectorBase
{
void mapForward(float x, float y, float &u, float &v);
void mapBackward(float u, float v, float &x, float &y);
@ -587,7 +587,7 @@ protected:
}
};
struct PlanePortraitProjector : ProjectorBase
struct CV_EXPORTS PlanePortraitProjector : ProjectorBase
{
void mapForward(float x, float y, float &u, float &v);
void mapBackward(float u, float v, float &x, float &y);

136
modules/ts/include/opencv2/ts.hpp
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@ -86,11 +86,11 @@ public:
SkipTestException(const cv::String& message) : dummy(0) { this->msg = message; }
};
class CV_EXPORTS TS;
class TS;
CV_EXPORTS int64 readSeed(const char* str);
int64 readSeed(const char* str);
CV_EXPORTS void randUni( RNG& rng, Mat& a, const Scalar& param1, const Scalar& param2 );
void randUni( RNG& rng, Mat& a, const Scalar& param1, const Scalar& param2 );
inline unsigned randInt( RNG& rng )
{
@ -103,10 +103,10 @@ inline double randReal( RNG& rng )
}
CV_EXPORTS const char* getTypeName( int type );
CV_EXPORTS int typeByName( const char* type_name );
const char* getTypeName( int type );
int typeByName( const char* type_name );
CV_EXPORTS string vec2str(const string& sep, const int* v, size_t nelems);
string vec2str(const string& sep, const int* v, size_t nelems);
inline int clipInt( int val, int min_val, int max_val )
{
@ -117,99 +117,99 @@ inline int clipInt( int val, int min_val, int max_val )
return val;
}
CV_EXPORTS double getMinVal(int depth);
CV_EXPORTS double getMaxVal(int depth);
double getMinVal(int depth);
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,
Size randomSize(RNG& rng, double maxSizeLog);
void randomSize(RNG& rng, int minDims, int maxDims, double maxSizeLog, vector<int>& sz);
int randomType(RNG& rng, int typeMask, int minChannels, int maxChannels);
Mat randomMat(RNG& rng, Size size, int type, double minVal, double maxVal, bool useRoi);
Mat randomMat(RNG& rng, const vector<int>& size, int type, double minVal, double maxVal, bool useRoi);
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);
void multiply(const Mat& a, const Mat& b, Mat& c, double alpha=1);
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());
void convert(const Mat& src, cv::OutputArray dst, int dtype, double alpha=1, double beta=0);
void copy(const Mat& src, Mat& dst, const Mat& mask=Mat(), bool invertMask=false);
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 );
void extract( const Mat& a, Mat& plane, int coi );
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 );
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 );
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),
void transpose(const Mat& src, Mat& dst);
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),
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,
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,
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 );
Mat calcSobelKernel2D( int dx, int dy, int apertureSize, int origin=0 );
Mat calcLaplaceKernel2D( int aperture_size );
CV_EXPORTS void initUndistortMap( const Mat& a, const Mat& k, Size sz, Mat& mapx, Mat& mapy );
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,
void minMaxLoc(const Mat& src, double* minval, double* maxval,
vector<int>* minloc, vector<int>* maxloc, const Mat& mask=Mat());
CV_EXPORTS double norm(InputArray src, int normType, InputArray mask=noArray());
CV_EXPORTS double norm(InputArray src1, InputArray src2, int normType, InputArray mask=noArray());
CV_EXPORTS Scalar mean(const Mat& src, const Mat& mask=Mat());
CV_EXPORTS double PSNR(InputArray src1, InputArray src2);
double norm(InputArray src, int normType, InputArray mask=noArray());
double norm(InputArray src1, InputArray src2, int normType, InputArray mask=noArray());
Scalar mean(const Mat& src, const Mat& mask=Mat());
double PSNR(InputArray src1, InputArray src2);
CV_EXPORTS bool cmpUlps(const Mat& data, const Mat& refdata, int expMaxDiff, double* realMaxDiff, vector<int>* idx);
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,
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,
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,
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);
void logicOp(const Mat& src1, const Mat& src2, Mat& dst, char c);
void logicOp(const Mat& src, const Scalar& s, Mat& dst, char c);
void min(const Mat& src1, const Mat& src2, Mat& dst);
void min(const Mat& src, double s, Mat& dst);
void max(const Mat& src1, const Mat& src2, Mat& dst);
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,
void compare(const Mat& src1, const Mat& src2, Mat& dst, int cmpop);
void compare(const Mat& src, double s, Mat& dst, int cmpop);
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);
CV_EXPORTS void threshold( const Mat& src, Mat& dst, double thresh, double maxval, int thresh_type );
CV_EXPORTS void minMaxIdx( InputArray _img, double* minVal, double* maxVal,
void transform( const Mat& src, Mat& dst, const Mat& transmat, const Mat& shift );
double crossCorr(const Mat& src1, const Mat& src2);
void threshold( const Mat& src, Mat& dst, double thresh, double maxval, int thresh_type );
void minMaxIdx( InputArray _img, double* minVal, double* maxVal,
Point* minLoc, Point* maxLoc, InputArray _mask );
struct CV_EXPORTS MatInfo
struct MatInfo
{
MatInfo(const Mat& _m) : m(&_m) {}
const Mat* m;
};
CV_EXPORTS std::ostream& operator << (std::ostream& out, const MatInfo& m);
std::ostream& operator << (std::ostream& out, const MatInfo& m);
struct CV_EXPORTS MatComparator
struct MatComparator
{
public:
MatComparator(double maxdiff, int context);
@ -228,7 +228,7 @@ public:
class BaseTest;
class TS;
class CV_EXPORTS BaseTest
class BaseTest
{
public:
// constructor(s) and destructor
@ -312,7 +312,7 @@ struct TestInfo
\*****************************************************************************************/
// common parameters:
struct CV_EXPORTS TSParams
struct TSParams
{
TSParams();
@ -327,7 +327,7 @@ struct CV_EXPORTS TSParams
};
class CV_EXPORTS TS
class TS
{
public:
// constructor(s) and destructor
@ -473,7 +473,7 @@ protected:
* Subclass of BaseTest for testing functions that process dense arrays *
\*****************************************************************************************/
class CV_EXPORTS ArrayTest : public BaseTest
class ArrayTest : public BaseTest
{
public:
// constructor(s) and destructor
@ -510,7 +510,7 @@ protected:
};
class CV_EXPORTS BadArgTest : public BaseTest
class BadArgTest : public BaseTest
{
public:
// constructor(s) and destructor
@ -564,7 +564,7 @@ protected:
extern uint64 param_seed;
struct CV_EXPORTS DefaultRngAuto
struct DefaultRngAuto
{
const uint64 old_state;
@ -576,16 +576,16 @@ struct CV_EXPORTS DefaultRngAuto
// 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);
void fillGradient(Mat& img, int delta = 5);
void smoothBorder(Mat& img, const Scalar& color, int delta = 3);
CV_EXPORTS void printVersionInfo(bool useStdOut = true);
void printVersionInfo(bool useStdOut = true);
// Utility functions
CV_EXPORTS void addDataSearchPath(const std::string& path);
CV_EXPORTS void addDataSearchSubDirectory(const std::string& subdir);
void addDataSearchPath(const std::string& path);
void addDataSearchSubDirectory(const std::string& subdir);
/*! @brief Try to find requested data file
@ -603,7 +603,7 @@ CV_EXPORTS void addDataSearchSubDirectory(const std::string& subdir);
- modulename from TS::init()
*/
CV_EXPORTS std::string findDataFile(const std::string& relative_path, bool required = true);
std::string findDataFile(const std::string& relative_path, bool required = true);
#ifndef __CV_TEST_EXEC_ARGS

8
modules/ts/include/opencv2/ts/cuda_perf.hpp
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@ -88,7 +88,7 @@ namespace perf
SANITY_CHECK(cpu_##mat, ## __VA_ARGS__); \
} while(0)
CV_EXPORTS cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
cv::Mat readImage(const std::string& fileName, int flags = cv::IMREAD_COLOR);
struct CvtColorInfo
{
@ -99,11 +99,11 @@ namespace perf
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);
void PrintTo(const CvtColorInfo& info, std::ostream* os);
CV_EXPORTS void printCudaInfo();
void printCudaInfo();
CV_EXPORTS void sortKeyPoints(std::vector<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors = cv::noArray());
void sortKeyPoints(std::vector<cv::KeyPoint>& keypoints, cv::InputOutputArray _descriptors = cv::noArray());
#ifdef HAVE_CUDA
#define CV_PERF_TEST_CUDA_MAIN(modulename) \

54
modules/ts/include/opencv2/ts/cuda_test.hpp
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@ -53,34 +53,34 @@ 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);
int randomInt(int minVal, int maxVal);
double randomDouble(double minVal, double maxVal);
cv::Size randomSize(int minVal, int maxVal);
cv::Scalar randomScalar(double minVal, double maxVal);
cv::Mat randomMat(cv::Size size, int type, double minVal = 0.0, double maxVal = 255.0);
//////////////////////////////////////////////////////////////////////
// GpuMat create
CV_EXPORTS cv::cuda::GpuMat createMat(cv::Size size, int type, bool useRoi = false);
CV_EXPORTS cv::cuda::GpuMat loadMat(const cv::Mat& m, bool useRoi = false);
cv::cuda::GpuMat createMat(cv::Size size, int type, bool useRoi = false);
cv::cuda::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);
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);
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::cuda::DeviceInfo& info, cv::cuda::FeatureSet feature);
bool supportFeature(const cv::cuda::DeviceInfo& info, cv::cuda::FeatureSet feature);
class CV_EXPORTS DeviceManager
class DeviceManager
{
public:
static DeviceManager& instance();
@ -99,11 +99,11 @@ namespace cvtest
//////////////////////////////////////////////////////////////////////
// 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());
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::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);
testing::AssertionResult assertMatNear(const char* expr1, const char* expr2, const char* eps_expr, cv::InputArray m1, cv::InputArray m2, double eps);
#undef EXPECT_MAT_NEAR
#define EXPECT_MAT_NEAR(m1, m2, eps) EXPECT_PRED_FORMAT3(cvtest::assertMatNear, m1, m2, eps)
@ -148,7 +148,7 @@ namespace cvtest
ASSERT_NEAR(p1.z, p2.z, eps); \
}
CV_EXPORTS double checkSimilarity(cv::InputArray m1, cv::InputArray m2);
double checkSimilarity(cv::InputArray m1, cv::InputArray m2);
#undef EXPECT_MAT_SIMILAR
#define EXPECT_MAT_SIMILAR(mat1, mat2, eps) \
@ -248,10 +248,10 @@ namespace cvtest
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);
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();
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))
@ -269,7 +269,7 @@ namespace cvtest
bool val_;
};
CV_EXPORTS void PrintTo(const UseRoi& useRoi, std::ostream* os);
void PrintTo(const UseRoi& useRoi, std::ostream* os);
#define WHOLE_SUBMAT testing::Values(UseRoi(false), UseRoi(true))
@ -286,7 +286,7 @@ namespace cvtest
bool val_;
};
CV_EXPORTS void PrintTo(const Inverse& useRoi, std::ostream* os);
void PrintTo(const Inverse& useRoi, std::ostream* os);
#define DIRECT_INVERSE testing::Values(Inverse(false), Inverse(true))
@ -325,26 +325,26 @@ namespace cvtest
//////////////////////////////////////////////////////////////////////
// Features2D
CV_EXPORTS testing::AssertionResult assertKeyPointsEquals(const char* gold_expr, const char* actual_expr, std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual);
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);
int getMatchedPointsCount(std::vector<cv::KeyPoint>& gold, std::vector<cv::KeyPoint>& actual);
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);
void dumpImage(const std::string& fileName, const cv::Mat& image);
void showDiff(cv::InputArray gold, cv::InputArray actual, double eps);
CV_EXPORTS void parseCudaDeviceOptions(int argc, char **argv);
CV_EXPORTS void printCudaInfo();
void parseCudaDeviceOptions(int argc, char **argv);
void printCudaInfo();
}
namespace cv { namespace cuda
{
CV_EXPORTS void PrintTo(const DeviceInfo& info, std::ostream* os);
void PrintTo(const DeviceInfo& info, std::ostream* os);
}}
#ifdef HAVE_CUDA

4
modules/ts/include/opencv2/ts/ocl_perf.hpp
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@ -119,11 +119,11 @@ using namespace perf;
namespace perf {
// Check for current device limitation
CV_EXPORTS void checkDeviceMaxMemoryAllocSize(const Size& size, int type, int factor = 1);
void checkDeviceMaxMemoryAllocSize(const Size& size, int type, int factor = 1);
// Initialize Mat with random numbers. Range is depends on the data type.
// TODO Parameter type is actually OutputArray
CV_EXPORTS void randu(InputOutputArray dst);
void randu(InputOutputArray dst);
inline void safeFinish()
{

12
modules/ts/include/opencv2/ts/ocl_test.hpp
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@ -105,10 +105,10 @@ do \
#define EXPECT_MAT_NEAR_RELATIVE(mat1, mat2, eps) \
do \
{ \
ASSERT_EQ(mat1.type(), mat2.type()); \
ASSERT_EQ(mat1.size(), mat2.size()); \
EXPECT_LE(TestUtils::checkNormRelative(mat1, mat2), eps) \
<< "Size: " << mat1.size() << std::endl; \
ASSERT_EQ((mat1).type(), (mat2).type()); \
ASSERT_EQ((mat1).size(), (mat2).size()); \
EXPECT_LE(TestUtils::checkNormRelative((mat1), (mat2)), eps) \
<< "Size: " << (mat1).size() << std::endl; \
} while ((void)0, 0)
#define EXPECT_MAT_N_DIFF(mat1, mat2, num) \
@ -192,7 +192,7 @@ using perf::MatType;
#define OCL_RNG_SEED 123456
struct CV_EXPORTS TestUtils
struct TestUtils
{
cv::RNG rng;
@ -319,7 +319,7 @@ do \
#define UMAT_UPLOAD_OUTPUT_PARAMETER(name) UMAT_UPLOAD_INPUT_PARAMETER(name)
template <typename T>
struct CV_EXPORTS TSTestWithParam : public TestUtils, public ::testing::TestWithParam<T>
struct TSTestWithParam : public TestUtils, public ::testing::TestWithParam<T>
{
};

2
modules/ts/include/opencv2/ts/ts_gtest.h
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@ -2295,7 +2295,7 @@ using ::std::tuple_size;
#endif // _MSC_VER
#ifndef GTEST_API_
# define GTEST_API_ CV_EXPORTS
# define GTEST_API_
#endif
#ifdef __GNUC__

22
modules/ts/include/opencv2/ts/ts_perf.hpp
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@ -172,7 +172,7 @@ enum ERROR_TYPE
ERROR_RELATIVE = 1
};
class CV_EXPORTS Regression
class Regression
{
public:
static Regression& add(TestBase* test, const std::string& name, cv::InputArray array, double eps = DBL_EPSILON, ERROR_TYPE err = ERROR_ABSOLUTE);
@ -219,7 +219,7 @@ private:
#define SANITY_CHECK_MATCHES(array, ...) ::perf::Regression::addMatches(this, #array, array , ## __VA_ARGS__)
#define SANITY_CHECK_NOTHING() this->setVerified()
class CV_EXPORTS GpuPerf
class GpuPerf
{
public:
static bool targetDevice();
@ -230,7 +230,7 @@ public:
/*****************************************************************************************\
* Container for performance metrics *
\*****************************************************************************************/
typedef struct CV_EXPORTS performance_metrics
typedef struct performance_metrics
{
size_t bytesIn;
size_t bytesOut;
@ -372,7 +372,7 @@ public:
};
#endif
class CV_EXPORTS TestBase: public ::testing::Test
class TestBase: public ::testing::Test
{
public:
TestBase();
@ -463,7 +463,7 @@ private:
static cv::Size getSize(cv::InputArray a);
static void declareArray(SizeVector& sizes, cv::InputOutputArray a, WarmUpType wtype);
class CV_EXPORTS _declareHelper
class _declareHelper
{
public:
_declareHelper& in(cv::InputOutputArray a1, WarmUpType wtype = WARMUP_READ);
@ -507,15 +507,15 @@ typedef TestBaseWithParam<Size_MatType_t> Size_MatType;
/*****************************************************************************************\
* Print functions for googletest *
\*****************************************************************************************/
CV_EXPORTS void PrintTo(const MatType& t, std::ostream* os);
void PrintTo(const MatType& t, std::ostream* os);
} //namespace perf
namespace cv
{
CV_EXPORTS void PrintTo(const String& str, ::std::ostream* os);
CV_EXPORTS void PrintTo(const Size& sz, ::std::ostream* os);
void PrintTo(const String& str, ::std::ostream* os);
void PrintTo(const Size& sz, ::std::ostream* os);
} //namespace cv
@ -706,7 +706,7 @@ namespace comparators
{
template<typename T>
struct CV_EXPORTS RectLess_ :
struct RectLess_ :
public std::binary_function<cv::Rect_<T>, cv::Rect_<T>, bool>
{
bool operator()(const cv::Rect_<T>& r1, const cv::Rect_<T>& r2) const
@ -720,7 +720,7 @@ struct CV_EXPORTS RectLess_ :
typedef RectLess_<int> RectLess;
struct CV_EXPORTS KeypointGreater :
struct KeypointGreater :
public std::binary_function<cv::KeyPoint, cv::KeyPoint, bool>
{
bool operator()(const cv::KeyPoint& kp1, const cv::KeyPoint& kp2) const
@ -739,7 +739,7 @@ struct CV_EXPORTS KeypointGreater :
} //namespace comparators
void CV_EXPORTS sort(std::vector<cv::KeyPoint>& pts, cv::InputOutputArray descriptors);
void sort(std::vector<cv::KeyPoint>& pts, cv::InputOutputArray descriptors);
} //namespace perf
#endif //OPENCV_TS_PERF_HPP

2
modules/ts/src/cuda_test.cpp
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@ -51,7 +51,7 @@ using namespace testing::internal;
namespace perf
{
CV_EXPORTS void printCudaInfo();
void printCudaInfo();
}
namespace cvtest

4
modules/ts/src/ts.cpp
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@ -747,12 +747,12 @@ static bool isDirectory(const std::string& path)
#endif
}
CV_EXPORTS void addDataSearchPath(const std::string& path)
void addDataSearchPath(const std::string& path)
{
if (isDirectory(path))
TS::ptr()->data_search_path.push_back(path);
}
CV_EXPORTS void addDataSearchSubDirectory(const std::string& subdir)
void addDataSearchSubDirectory(const std::string& subdir)
{
TS::ptr()->data_search_subdir.push_back(subdir);
}

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