From: Pavel Rojtberg Date: Wed, 25 Jan 2017 11:20:57 +0000 (+0100) Subject: Hid symbols in static builds, added LTO flags, removed exports from ts X-Git-Tag: accepted/tizen/6.0/unified/20201030.111113~325^2~1 X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=6fb9d42c3f76bf081dc928e1888950f8b1a13519;p=platform%2Fupstream%2Fopencv.git Hid symbols in static builds, added LTO flags, removed exports from ts --- diff --git a/CMakeLists.txt b/CMakeLists.txt index 4af166d..a2a23ad 100644 --- a/CMakeLists.txt +++ b/CMakeLists.txt @@ -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 ) diff --git a/apps/traincascade/old_ml.hpp b/apps/traincascade/old_ml.hpp index 1fe8b1a..371fb5b 100644 --- a/apps/traincascade/old_ml.hpp +++ b/apps/traincascade/old_ml.hpp @@ -1896,32 +1896,6 @@ protected: }; /****************************************************************************************\ -* Auxilary functions declarations * -\****************************************************************************************/ - -/* Generates from multivariate normal distribution, where - is an - average row vector, - 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 * \****************************************************************************************/ diff --git a/apps/traincascade/old_ml_inner_functions.cpp b/apps/traincascade/old_ml_inner_functions.cpp index 68e78b1..5858a40 100644 --- a/apps/traincascade/old_ml_inner_functions.cpp +++ b/apps/traincascade/old_ml_inner_functions.cpp @@ -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 from multivariate normal distribution, where - is an - average row vector, - 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 of 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 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 ) { diff --git a/apps/traincascade/old_ml_tree.cpp b/apps/traincascade/old_ml_tree.cpp index d7c6511..832330d 100644 --- a/apps/traincascade/old_ml_tree.cpp +++ b/apps/traincascade/old_ml_tree.cpp @@ -1880,7 +1880,7 @@ double CvDTree::calc_node_dir( CvDTreeNode* node ) namespace cv { -template<> CV_EXPORTS void DefaultDeleter::operator ()(CvDTreeSplit* obj) const +template<> void DefaultDeleter::operator ()(CvDTreeSplit* obj) const { fastFree(obj); } diff --git a/cmake/OpenCVCompilerOptions.cmake b/cmake/OpenCVCompilerOptions.cmake index f45ebdd..992ed72 100644 --- a/cmake/OpenCVCompilerOptions.cmake +++ b/cmake/OpenCVCompilerOptions.cmake @@ -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) diff --git a/cmake/OpenCVModule.cmake b/cmake/OpenCVModule.cmake index defbf1f..4c1eaf6 100644 --- a/cmake/OpenCVModule.cmake +++ b/cmake/OpenCVModule.cmake @@ -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() diff --git a/modules/core/include/opencv2/core/cvdef.h b/modules/core/include/opencv2/core/cvdef.h index b513b44..c1fcc6a 100644 --- a/modules/core/include/opencv2/core/cvdef.h +++ b/modules/core/include/opencv2/core/cvdef.h @@ -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 diff --git a/modules/core/include/opencv2/core/private.hpp b/modules/core/include/opencv2/core/private.hpp index a849040..503c7f3 100644 --- a/modules/core/include/opencv2/core/private.hpp +++ b/modules/core/include/opencv2/core/private.hpp @@ -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 -CV_EXPORTS T* allocSingleton(size_t count) { return static_cast(fastMalloc(sizeof(T) * count)); } +T* allocSingleton(size_t count) { return static_cast(fastMalloc(sizeof(T) * count)); } } // property implementation macros diff --git a/modules/core/test/test_precomp.hpp b/modules/core/test/test_precomp.hpp index 962348b..015ecb7 100644 --- a/modules/core/test/test_precomp.hpp +++ b/modules/core/test/test_precomp.hpp @@ -11,6 +11,7 @@ #include #include "opencv2/ts.hpp" +#include "opencv2/ts/ocl_test.hpp" #include "opencv2/core/core_c.h" #include "opencv2/core/cvdef.h" diff --git a/modules/features2d/include/opencv2/features2d.hpp b/modules/features2d/include/opencv2/features2d.hpp index 119782b..82d76c4 100644 --- a/modules/features2d/include/opencv2/features2d.hpp +++ b/modules/features2d/include/opencv2/features2d.hpp @@ -786,7 +786,7 @@ struct CV_EXPORTS SL2 * Euclidean distance functor */ template -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 -struct CV_EXPORTS L1 +struct L1 { enum { normType = NORM_L1 }; typedef T ValueType; diff --git a/modules/flann/include/opencv2/flann/dummy.h b/modules/flann/include/opencv2/flann/dummy.h index 8b1fa63..d6837e5 100644 --- a/modules/flann/include/opencv2/flann/dummy.h +++ b/modules/flann/include/opencv2/flann/dummy.h @@ -5,10 +5,7 @@ namespace cvflann { -#if (defined _WIN32 || defined WINCE) && defined CVAPI_EXPORTS -__declspec(dllexport) -#endif -void dummyfunc(); +CV_DEPRECATED inline void dummyfunc() {} } diff --git a/modules/flann/src/flann.cpp b/modules/flann/src/flann.cpp index 7ebb7ed..388418f 100644 --- a/modules/flann/src/flann.cpp +++ b/modules/flann/src/flann.cpp @@ -53,5 +53,4 @@ namespace cvflann flann_distance_type_ = distance_type; } - void dummyfunc() {} } diff --git a/modules/flann/src/precomp.hpp b/modules/flann/src/precomp.hpp index bcd8889..099a6ab 100644 --- a/modules/flann/src/precomp.hpp +++ b/modules/flann/src/precomp.hpp @@ -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" diff --git a/modules/java/CMakeLists.txt b/modules/java/CMakeLists.txt index 71e2499..d44b195 100644 --- a/modules/java/CMakeLists.txt +++ b/modules/java/CMakeLists.txt @@ -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 ${EXECUTABLE_OUTPUT_PATH} + DEFINE_SYMBOL CVAPI_EXPORTS ) if(ANDROID) diff --git a/modules/python/common.cmake b/modules/python/common.cmake index 7582f77..9f87a04 100644 --- a/modules/python/common.cmake +++ b/modules/python/common.cmake @@ -109,6 +109,7 @@ endif() set_target_properties(${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}) diff --git a/modules/stitching/include/opencv2/stitching/detail/warpers.hpp b/modules/stitching/include/opencv2/stitching/detail/warpers.hpp index cfaf225..ddb2fb5 100644 --- a/modules/stitching/include/opencv2/stitching/detail/warpers.hpp +++ b/modules/stitching/include/opencv2/stitching/detail/warpers.hpp @@ -138,7 +138,7 @@ struct CV_EXPORTS ProjectorBase /** @brief Base class for rotation-based warper using a detail::ProjectorBase_ derived class. */ template -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); diff --git a/modules/ts/include/opencv2/ts.hpp b/modules/ts/include/opencv2/ts.hpp index d630a5a..dd1bc14 100644 --- a/modules/ts/include/opencv2/ts.hpp +++ b/modules/ts/include/opencv2/ts.hpp @@ -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& 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& 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& 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& 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* idx ); +int check( const Mat& data, double min_val, double max_val, vector* 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* minloc, vector* 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* idx); +bool cmpUlps(const Mat& data, const Mat& refdata, int expMaxDiff, double* realMaxDiff, vector* 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* 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 diff --git a/modules/ts/include/opencv2/ts/cuda_perf.hpp b/modules/ts/include/opencv2/ts/cuda_perf.hpp index c0c2b7d..5d52750 100644 --- a/modules/ts/include/opencv2/ts/cuda_perf.hpp +++ b/modules/ts/include/opencv2/ts/cuda_perf.hpp @@ -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& keypoints, cv::InputOutputArray _descriptors = cv::noArray()); + void sortKeyPoints(std::vector& keypoints, cv::InputOutputArray _descriptors = cv::noArray()); #ifdef HAVE_CUDA #define CV_PERF_TEST_CUDA_MAIN(modulename) \ diff --git a/modules/ts/include/opencv2/ts/cuda_test.hpp b/modules/ts/include/opencv2/ts/cuda_test.hpp index 4100d29..53bdbc8 100644 --- a/modules/ts/include/opencv2/ts/cuda_test.hpp +++ b/modules/ts/include/opencv2/ts/cuda_test.hpp @@ -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 types(int depth_start, int depth_end, int cn_start, int cn_end); + std::vector 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& all_types(); + const std::vector& 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& gold, std::vector& actual); + testing::AssertionResult assertKeyPointsEquals(const char* gold_expr, const char* actual_expr, std::vector& gold, std::vector& actual); #define ASSERT_KEYPOINTS_EQ(gold, actual) EXPECT_PRED_FORMAT2(assertKeyPointsEquals, gold, actual) - CV_EXPORTS int getMatchedPointsCount(std::vector& gold, std::vector& actual); - CV_EXPORTS int getMatchedPointsCount(const std::vector& keypoints1, const std::vector& keypoints2, const std::vector& matches); + int getMatchedPointsCount(std::vector& gold, std::vector& actual); + int getMatchedPointsCount(const std::vector& keypoints1, const std::vector& keypoints2, const std::vector& 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 diff --git a/modules/ts/include/opencv2/ts/ocl_perf.hpp b/modules/ts/include/opencv2/ts/ocl_perf.hpp index ce25b71..aa87243 100644 --- a/modules/ts/include/opencv2/ts/ocl_perf.hpp +++ b/modules/ts/include/opencv2/ts/ocl_perf.hpp @@ -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() { diff --git a/modules/ts/include/opencv2/ts/ocl_test.hpp b/modules/ts/include/opencv2/ts/ocl_test.hpp index 294fab4..ee86f49 100644 --- a/modules/ts/include/opencv2/ts/ocl_test.hpp +++ b/modules/ts/include/opencv2/ts/ocl_test.hpp @@ -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 -struct CV_EXPORTS TSTestWithParam : public TestUtils, public ::testing::TestWithParam +struct TSTestWithParam : public TestUtils, public ::testing::TestWithParam { }; diff --git a/modules/ts/include/opencv2/ts/ts_gtest.h b/modules/ts/include/opencv2/ts/ts_gtest.h index 9f54cbb..fb31603 100644 --- a/modules/ts/include/opencv2/ts/ts_gtest.h +++ b/modules/ts/include/opencv2/ts/ts_gtest.h @@ -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__ diff --git a/modules/ts/include/opencv2/ts/ts_perf.hpp b/modules/ts/include/opencv2/ts/ts_perf.hpp index 3781365..8a39f66 100644 --- a/modules/ts/include/opencv2/ts/ts_perf.hpp +++ b/modules/ts/include/opencv2/ts/ts_perf.hpp @@ -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; /*****************************************************************************************\ * 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 -struct CV_EXPORTS RectLess_ : +struct RectLess_ : public std::binary_function, cv::Rect_, bool> { bool operator()(const cv::Rect_& r1, const cv::Rect_& r2) const @@ -720,7 +720,7 @@ struct CV_EXPORTS RectLess_ : typedef RectLess_ RectLess; -struct CV_EXPORTS KeypointGreater : +struct KeypointGreater : public std::binary_function { 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& pts, cv::InputOutputArray descriptors); +void sort(std::vector& pts, cv::InputOutputArray descriptors); } //namespace perf #endif //OPENCV_TS_PERF_HPP diff --git a/modules/ts/src/cuda_test.cpp b/modules/ts/src/cuda_test.cpp index eb4cee1..25e2ebf 100644 --- a/modules/ts/src/cuda_test.cpp +++ b/modules/ts/src/cuda_test.cpp @@ -51,7 +51,7 @@ using namespace testing::internal; namespace perf { - CV_EXPORTS void printCudaInfo(); + void printCudaInfo(); } namespace cvtest diff --git a/modules/ts/src/ts.cpp b/modules/ts/src/ts.cpp index e8f3be9..f2d373e 100644 --- a/modules/ts/src/ts.cpp +++ b/modules/ts/src/ts.cpp @@ -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); }