core/core.hpp File Reference

#include "opencv2/core/types_c.h"
#include "opencv2/core/version.hpp"
#include <limits.h>
#include <algorithm>
#include <cmath>
#include <cstddef>
#include <complex>
#include <map>
#include <new>
#include <string>
#include <vector>
#include <sstream>
#include "opencv2/core/operations.hpp"
#include "opencv2/core/mat.hpp"

Classes
class	cv::Size_< _Tp >
class	cv::Point_< _Tp >
class	cv::Rect_< _Tp >
class	cv::Vec< _Tp, cn >
class	cv::Matx< _Tp, m, n >
class	cv::Mat_< _Tp >
class	cv::MatIterator_< _Tp >
class	cv::MatConstIterator_< _Tp >
class	cv::MatCommaInitializer_< _Tp >
class	cv::Exception
class	cv::Allocator< _Tp >
class	cv::Allocator< _Tp >::rebind< U >
class	cv::DataDepth< _Tp >
class	cv::DataDepth< bool >
class	cv::DataDepth< uchar >
class	cv::DataDepth< schar >
class	cv::DataDepth< char >
class	cv::DataDepth< ushort >
class	cv::DataDepth< short >
class	cv::DataDepth< int >
class	cv::DataDepth< unsigned >
class	cv::DataDepth< float >
class	cv::DataDepth< double >
class	cv::DataDepth< _Tp * >
struct	cv::Matx_AddOp
struct	cv::Matx_SubOp
struct	cv::Matx_ScaleOp
struct	cv::Matx_MulOp
struct	cv::Matx_MatMulOp
struct	cv::Matx_TOp
class	cv::Matx< _Tp, m, n >
class	cv::Vec< _Tp, cn >
class	cv::Complex< _Tp >
class	cv::Point_< _Tp >
class	cv::Point3_< _Tp >
class	cv::Size_< _Tp >
class	cv::Rect_< _Tp >
class	cv::RotatedRect
class	cv::Scalar_< _Tp >
class	cv::Range
class	cv::DataType< _Tp >
class	cv::DataType< bool >
class	cv::DataType< uchar >
class	cv::DataType< schar >
class	cv::DataType< char >
class	cv::DataType< ushort >
class	cv::DataType< short >
class	cv::DataType< int >
class	cv::DataType< float >
class	cv::DataType< double >
class	cv::DataType< Matx< _Tp, m, n > >
class	cv::DataType< Vec< _Tp, cn > >
class	cv::DataType< std::complex< _Tp > >
class	cv::DataType< Complex< _Tp > >
class	cv::DataType< Point_< _Tp > >
class	cv::DataType< Point3_< _Tp > >
class	cv::DataType< Size_< _Tp > >
class	cv::DataType< Rect_< _Tp > >
class	cv::DataType< Scalar_< _Tp > >
class	cv::DataType< Range >
class	cv::Ptr< _Tp >
class	cv::_InputArray
class	cv::_OutputArray
class	cv::MatAllocator
class	cv::Mat
struct	cv::Mat::MSize
struct	cv::Mat::MStep
class	cv::RNG
class	cv::RNG_MT19937
class	cv::TermCriteria
class	cv::PCA
class	cv::SVD
class	cv::LineIterator
class	cv::Mat_< _Tp >
class	cv::MatConstIterator
class	cv::MatConstIterator_< _Tp >
class	cv::MatIterator_< _Tp >
class	cv::MatOp_Iter_< _Tp >
class	cv::MatCommaInitializer_< _Tp >
class	cv::MatxCommaInitializer< _Tp, m, n >
class	cv::VecCommaInitializer< _Tp, m >
class	cv::AutoBuffer< _Tp, fixed_size >
class	cv::NAryMatIterator
class	cv::SparseMatIterator_< _Tp >
class	cv::SparseMatConstIterator_< _Tp >
class	cv::SparseMat
struct	cv::SparseMat::Hdr
	the sparse matrix header More...
struct	cv::SparseMat::Node
	sparse matrix node - element of a hash table More...
class	cv::SparseMatConstIterator
class	cv::SparseMatIterator
class	cv::SparseMat_< _Tp >
class	cv::SparseMatConstIterator_< _Tp >
class	cv::SparseMatIterator_< _Tp >
class	cv::KDTree
struct	cv::KDTree::Node
class	cv::FileStorage
class	cv::FileNode
class	cv::FileNodeIterator
class	cv::SeqIterator< _Tp >
class	cv::Seq< _Tp >
class	cv::SeqIterator< _Tp >
struct	cv::ParamType< _Tp >
class	cv::Algorithm
class	cv::AlgorithmInfo
struct	cv::Param
struct	cv::ParamType< bool >
struct	cv::ParamType< int >
struct	cv::ParamType< short >
struct	cv::ParamType< double >
struct	cv::ParamType< string >
struct	cv::ParamType< Mat >
struct	cv::ParamType< vector< Mat > >
struct	cv::ParamType< Algorithm >
struct	cv::ParamType< float >
struct	cv::ParamType< unsigned >
struct	cv::ParamType< uint64 >
struct	cv::ParamType< uchar >
class	cv::CommandLineParser
class	cv::ParallelLoopBody
class	cv::Mutex
class	cv::AutoLock
class	cv::TLSDataContainer
class	cv::TLSData< T >

Namespaces
	cv
	cv::ogl
	cv::gpu

Macros
#define	CV_Func   ""
#define	CV_Error(code, msg)   cv::error( cv::Exception(code, msg, CV_Func, __FILE__, __LINE__) )
#define	CV_Error_(code, args)   cv::error( cv::Exception(code, cv::format args, CV_Func, __FILE__, __LINE__) )
#define	CV_Assert(expr)   if(!!(expr)) ; else cv::error( cv::Exception(CV_StsAssert, #expr, CV_Func, __FILE__, __LINE__) )
#define	CV_DbgAssert(expr)

Typedefs
typedef std::string	cv::String
typedef Mat	cv::MatND
typedef std::basic_string< wchar_t >	cv::WString
typedef int(CV_CDECL *	cv::ErrorCallback) (int status, const char *func_name, const char *err_msg, const char *file_name, int line, void *userdata)
typedef Matx< float, 1, 2 >	cv::Matx12f
typedef Matx< double, 1, 2 >	cv::Matx12d
typedef Matx< float, 1, 3 >	cv::Matx13f
typedef Matx< double, 1, 3 >	cv::Matx13d
typedef Matx< float, 1, 4 >	cv::Matx14f
typedef Matx< double, 1, 4 >	cv::Matx14d
typedef Matx< float, 1, 6 >	cv::Matx16f
typedef Matx< double, 1, 6 >	cv::Matx16d
typedef Matx< float, 2, 1 >	cv::Matx21f
typedef Matx< double, 2, 1 >	cv::Matx21d
typedef Matx< float, 3, 1 >	cv::Matx31f
typedef Matx< double, 3, 1 >	cv::Matx31d
typedef Matx< float, 4, 1 >	cv::Matx41f
typedef Matx< double, 4, 1 >	cv::Matx41d
typedef Matx< float, 6, 1 >	cv::Matx61f
typedef Matx< double, 6, 1 >	cv::Matx61d
typedef Matx< float, 2, 2 >	cv::Matx22f
typedef Matx< double, 2, 2 >	cv::Matx22d
typedef Matx< float, 2, 3 >	cv::Matx23f
typedef Matx< double, 2, 3 >	cv::Matx23d
typedef Matx< float, 3, 2 >	cv::Matx32f
typedef Matx< double, 3, 2 >	cv::Matx32d
typedef Matx< float, 3, 3 >	cv::Matx33f
typedef Matx< double, 3, 3 >	cv::Matx33d
typedef Matx< float, 3, 4 >	cv::Matx34f
typedef Matx< double, 3, 4 >	cv::Matx34d
typedef Matx< float, 4, 3 >	cv::Matx43f
typedef Matx< double, 4, 3 >	cv::Matx43d
typedef Matx< float, 4, 4 >	cv::Matx44f
typedef Matx< double, 4, 4 >	cv::Matx44d
typedef Matx< float, 6, 6 >	cv::Matx66f
typedef Matx< double, 6, 6 >	cv::Matx66d
typedef Vec< uchar, 2 >	cv::Vec2b
typedef Vec< uchar, 3 >	cv::Vec3b
typedef Vec< uchar, 4 >	cv::Vec4b
typedef Vec< short, 2 >	cv::Vec2s
typedef Vec< short, 3 >	cv::Vec3s
typedef Vec< short, 4 >	cv::Vec4s
typedef Vec< ushort, 2 >	cv::Vec2w
typedef Vec< ushort, 3 >	cv::Vec3w
typedef Vec< ushort, 4 >	cv::Vec4w
typedef Vec< int, 2 >	cv::Vec2i
typedef Vec< int, 3 >	cv::Vec3i
typedef Vec< int, 4 >	cv::Vec4i
typedef Vec< int, 6 >	cv::Vec6i
typedef Vec< int, 8 >	cv::Vec8i
typedef Vec< float, 2 >	cv::Vec2f
typedef Vec< float, 3 >	cv::Vec3f
typedef Vec< float, 4 >	cv::Vec4f
typedef Vec< float, 6 >	cv::Vec6f
typedef Vec< double, 2 >	cv::Vec2d
typedef Vec< double, 3 >	cv::Vec3d
typedef Vec< double, 4 >	cv::Vec4d
typedef Vec< double, 6 >	cv::Vec6d
typedef Complex< float >	cv::Complexf
typedef Complex< double >	cv::Complexd
typedef Point_< int >	cv::Point2i
typedef Point_< int64 >	cv::Point2l
typedef Point2i	cv::Point
typedef Size_< int >	cv::Size2i
typedef Size_< int64 >	cv::Size2l
typedef Size_< double >	cv::Size2d
typedef Size2i	cv::Size
typedef Rect_< int >	cv::Rect
typedef Point_< float >	cv::Point2f
typedef Point_< double >	cv::Point2d
typedef Size_< float >	cv::Size2f
typedef Point3_< int >	cv::Point3i
typedef Point3_< float >	cv::Point3f
typedef Point3_< double >	cv::Point3d
typedef Scalar_< double >	cv::Scalar
typedef const _InputArray &	cv::InputArray
typedef InputArray	cv::InputArrayOfArrays
typedef const _OutputArray &	cv::OutputArray
typedef OutputArray	cv::OutputArrayOfArrays
typedef OutputArray	cv::InputOutputArray
typedef OutputArray	cv::InputOutputArrayOfArrays
typedef void(*	cv::BinaryFunc) (const uchar *src1, size_t step1, const uchar *src2, size_t step2, uchar *dst, size_t step, Size sz, void *)
typedef Mat_< uchar >	cv::Mat1b
typedef Mat_< Vec2b >	cv::Mat2b
typedef Mat_< Vec3b >	cv::Mat3b
typedef Mat_< Vec4b >	cv::Mat4b
typedef Mat_< short >	cv::Mat1s
typedef Mat_< Vec2s >	cv::Mat2s
typedef Mat_< Vec3s >	cv::Mat3s
typedef Mat_< Vec4s >	cv::Mat4s
typedef Mat_< ushort >	cv::Mat1w
typedef Mat_< Vec2w >	cv::Mat2w
typedef Mat_< Vec3w >	cv::Mat3w
typedef Mat_< Vec4w >	cv::Mat4w
typedef Mat_< int >	cv::Mat1i
typedef Mat_< Vec2i >	cv::Mat2i
typedef Mat_< Vec3i >	cv::Mat3i
typedef Mat_< Vec4i >	cv::Mat4i
typedef Mat_< float >	cv::Mat1f
typedef Mat_< Vec2f >	cv::Mat2f
typedef Mat_< Vec3f >	cv::Mat3f
typedef Mat_< Vec4f >	cv::Mat4f
typedef Mat_< double >	cv::Mat1d
typedef Mat_< Vec2d >	cv::Mat2d
typedef Mat_< Vec3d >	cv::Mat3d
typedef Mat_< Vec4d >	cv::Mat4d
typedef void(*	cv::ConvertData) (const void *from, void *to, int cn)
typedef void(*	cv::ConvertScaleData) (const void *from, void *to, int cn, double alpha, double beta)
typedef Ptr< CvMemStorage >	cv::MemStorage

Enumerations
enum	{   cv::DECOMP_LU =0, cv::DECOMP_SVD =1, cv::DECOMP_EIG =2, cv::DECOMP_CHOLESKY =3,   cv::DECOMP_QR =4, cv::DECOMP_NORMAL =16 }
enum	{   cv::NORM_INF =1, cv::NORM_L1 =2, cv::NORM_L2 =4, cv::NORM_L2SQR =5,   cv::NORM_HAMMING =6, cv::NORM_HAMMING2 =7, cv::NORM_TYPE_MASK =7, cv::NORM_RELATIVE =8,   cv::NORM_MINMAX =32 }
enum	{   cv::CMP_EQ =0, cv::CMP_GT =1, cv::CMP_GE =2, cv::CMP_LT =3,   cv::CMP_LE =4, cv::CMP_NE =5 }
enum	{ cv::GEMM_1_T =1, cv::GEMM_2_T =2, cv::GEMM_3_T =4 }
enum	{   cv::DFT_INVERSE =1, cv::DFT_SCALE =2, cv::DFT_ROWS =4, cv::DFT_COMPLEX_OUTPUT =16,   cv::DFT_REAL_OUTPUT =32, cv::DCT_INVERSE = DFT_INVERSE, cv::DCT_ROWS =DFT_ROWS }
enum	{   cv::DEPTH_MASK_8U = 1 << CV_8U, cv::DEPTH_MASK_8S = 1 << CV_8S, cv::DEPTH_MASK_16U = 1 << CV_16U, cv::DEPTH_MASK_16S = 1 << CV_16S,   cv::DEPTH_MASK_32S = 1 << CV_32S, cv::DEPTH_MASK_32F = 1 << CV_32F, cv::DEPTH_MASK_64F = 1 << CV_64F, cv::DEPTH_MASK_ALL = (DEPTH_MASK_64F<<1)-1,   cv::DEPTH_MASK_ALL_BUT_8S = DEPTH_MASK_ALL & ~DEPTH_MASK_8S, cv::DEPTH_MASK_FLT = DEPTH_MASK_32F + DEPTH_MASK_64F }
enum	{ cv::MAGIC_MASK =0xFFFF0000, cv::TYPE_MASK =0x00000FFF, cv::DEPTH_MASK =7 }
enum	{ cv::SORT_EVERY_ROW =0, cv::SORT_EVERY_COLUMN =1, cv::SORT_ASCENDING =0, cv::SORT_DESCENDING =16 }
enum	{   cv::COVAR_SCRAMBLED =0, cv::COVAR_NORMAL =1, cv::COVAR_USE_AVG =2, cv::COVAR_SCALE =4,   cv::COVAR_ROWS =8, cv::COVAR_COLS =16 }
enum	{ cv::KMEANS_RANDOM_CENTERS =0, cv::KMEANS_PP_CENTERS =2, cv::KMEANS_USE_INITIAL_LABELS =1 }
enum	cv::MarkerTypes {   cv::MARKER_CROSS = 0, cv::MARKER_TILTED_CROSS = 1, cv::MARKER_STAR = 2, cv::MARKER_DIAMOND = 3,   cv::MARKER_SQUARE = 4, cv::MARKER_TRIANGLE_UP = 5, cv::MARKER_TRIANGLE_DOWN = 6 }
	Possible set of marker types used for the drawMarker function. More...
enum	{   cv::FONT_HERSHEY_SIMPLEX = 0, cv::FONT_HERSHEY_PLAIN = 1, cv::FONT_HERSHEY_DUPLEX = 2, cv::FONT_HERSHEY_COMPLEX = 3,   cv::FONT_HERSHEY_TRIPLEX = 4, cv::FONT_HERSHEY_COMPLEX_SMALL = 5, cv::FONT_HERSHEY_SCRIPT_SIMPLEX = 6, cv::FONT_HERSHEY_SCRIPT_COMPLEX = 7,   cv::FONT_ITALIC = 16 }

Functions
string	cv::fromUtf16 (const WString &str)
WString	cv::toUtf16 (const string &str)
string	cv::format (const char *fmt,...)
string	cv::tempfile (const char *suffix CV_DEFAULT(0))
void	cv::error (const Exception &exc)
	Signals an error and raises the exception. More...
bool	cv::setBreakOnError (bool flag)
	Sets/resets the break-on-error mode. More...
ErrorCallback	cv::redirectError (ErrorCallback errCallback, void *userdata=0, void **prevUserdata=0)
	Sets the new error handler and the optional user data. More...
void	cv::glob (String pattern, std::vector< String > &result, bool recursive=false)
void	cv::setNumThreads (int nthreads)
int	cv::getNumThreads ()
int	cv::getThreadNum ()
const string &	cv::getBuildInformation ()
int64	cv::getTickCount ()
	Returns the number of ticks. More...
double	cv::getTickFrequency ()
int64	cv::getCPUTickCount ()
bool	cv::checkHardwareSupport (int feature)
int	cv::getNumberOfCPUs ()
	returns the number of CPUs (including hyper-threading) More...
void *	cv::fastMalloc (size_t bufSize)
void	cv::fastFree (void *ptr)
void	cv::setUseOptimized (bool onoff)
bool	cv::useOptimized ()
void	cv::scalarToRawData (const Scalar &s, void *buf, int type, int unroll_to=0)
template<typename T >
Ptr< T >	cv::makePtr ()
template<typename T , typename A1 >
Ptr< T >	cv::makePtr (const A1 &a1)
template<typename T , typename A1 , typename A2 >
Ptr< T >	cv::makePtr (const A1 &a1, const A2 &a2)
template<typename T , typename A1 , typename A2 , typename A3 >
Ptr< T >	cv::makePtr (const A1 &a1, const A2 &a2, const A3 &a3)
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 >
Ptr< T >	cv::makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4)
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 >
Ptr< T >	cv::makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5)
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 >
Ptr< T >	cv::makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6)
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 >
Ptr< T >	cv::makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7)
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 , typename A8 >
Ptr< T >	cv::makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7, const A8 &a8)
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 , typename A8 , typename A9 >
Ptr< T >	cv::makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7, const A8 &a8, const A9 &a9)
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 , typename A8 , typename A9 , typename A10 >
Ptr< T >	cv::makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7, const A8 &a8, const A9 &a9, const A10 &a10)
OutputArray	cv::noArray ()
BinaryFunc	cv::getConvertFunc (int sdepth, int ddepth)
BinaryFunc	cv::getConvertScaleFunc (int sdepth, int ddepth)
BinaryFunc	cv::getCopyMaskFunc (size_t esz)
void	cv::swap (Mat &a, Mat &b)
	swaps two matrices More...
Mat	cv::cvarrToMat (const CvArr *arr, bool copyData=false, bool allowND=true, int coiMode=0)
	converts array (CvMat or IplImage) to cv::Mat More...
void	cv::extractImageCOI (const CvArr *arr, OutputArray coiimg, int coi=-1)
	extracts Channel of Interest from CvMat or IplImage and makes cv::Mat out of it. More...
void	cv::insertImageCOI (InputArray coiimg, CvArr *arr, int coi=-1)
	inserts single-channel cv::Mat into a multi-channel CvMat or IplImage More...
void	cv::add (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1)
	adds one matrix to another (dst = src1 + src2) More...
void	cv::subtract (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1)
	subtracts one matrix from another (dst = src1 - src2) More...
void	cv::multiply (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1)
	computes element-wise weighted product of the two arrays (dst = scale*src1*src2) More...
void	cv::divide (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1)
	computes element-wise weighted quotient of the two arrays (dst = scale*src1/src2) More...
void	cv::divide (double scale, InputArray src2, OutputArray dst, int dtype=-1)
	computes element-wise weighted reciprocal of an array (dst = scale/src2) More...
void	cv::scaleAdd (InputArray src1, double alpha, InputArray src2, OutputArray dst)
	adds scaled array to another one (dst = alpha*src1 + src2) More...
void	cv::addWeighted (InputArray src1, double alpha, InputArray src2, double beta, double gamma, OutputArray dst, int dtype=-1)
	computes weighted sum of two arrays (dst = alpha*src1 + beta*src2 + gamma) More...
void	cv::convertScaleAbs (InputArray src, OutputArray dst, double alpha=1, double beta=0)
	scales array elements, computes absolute values and converts the results to 8-bit unsigned integers: dst(i)=saturate_cast<uchar>abs(src(i)*alpha+beta) More...
void	cv::LUT (InputArray src, InputArray lut, OutputArray dst, int interpolation=0)
	transforms array of numbers using a lookup table: dst(i)=lut(src(i)) More...
	cv::CV_EXPORTS_AS (sumElems) Scalar sum(InputArray src)
	computes sum of array elements More...
int	cv::countNonZero (InputArray src)
	computes the number of nonzero array elements More...
void	cv::findNonZero (InputArray src, OutputArray idx)
	returns the list of locations of non-zero pixels More...
Scalar	cv::mean (InputArray src, InputArray mask=noArray())
	computes mean value of selected array elements More...
void	cv::meanStdDev (InputArray src, OutputArray mean, OutputArray stddev, InputArray mask=noArray())
	computes mean value and standard deviation of all or selected array elements More...
double	cv::norm (InputArray src1, int normType=NORM_L2, InputArray mask=noArray())
	computes norm of the selected array part More...
double	cv::norm (InputArray src1, InputArray src2, int normType=NORM_L2, InputArray mask=noArray())
	computes norm of selected part of the difference between two arrays More...
void	cv::batchDistance (InputArray src1, InputArray src2, OutputArray dist, int dtype, OutputArray nidx, int normType=NORM_L2, int K=0, InputArray mask=noArray(), int update=0, bool crosscheck=false)
	naive nearest neighbor finder More...
void	cv::normalize (InputArray src, OutputArray dst, double alpha=1, double beta=0, int norm_type=NORM_L2, int dtype=-1, InputArray mask=noArray())
	scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values More...
void	cv::minMaxLoc (InputArray src, CV_OUT double *minVal, CV_OUT double *maxVal=0, CV_OUT Point *minLoc=0, CV_OUT Point *maxLoc=0, InputArray mask=noArray())
	finds global minimum and maximum array elements and returns their values and their locations More...
void	cv::minMaxIdx (InputArray src, double *minVal, double *maxVal, int *minIdx=0, int *maxIdx=0, InputArray mask=noArray())
void	cv::reduce (InputArray src, OutputArray dst, int dim, int rtype, int dtype=-1)
	transforms 2D matrix to 1D row or column vector by taking sum, minimum, maximum or mean value over all the rows More...
void	cv::merge (const Mat *mv, size_t count, OutputArray dst)
	makes multi-channel array out of several single-channel arrays More...
void	cv::merge (const vector< Mat > &mv, OutputArray dst)
void	cv::merge (InputArrayOfArrays mv, OutputArray dst)
	makes multi-channel array out of several single-channel arrays More...
void	cv::split (const Mat &src, Mat *mvbegin)
	copies each plane of a multi-channel array to a dedicated array More...
void	cv::split (const Mat &m, vector< Mat > &mv)
void	cv::split (InputArray m, OutputArrayOfArrays mv)
	copies each plane of a multi-channel array to a dedicated array More...
void	cv::mixChannels (const Mat *src, size_t nsrcs, Mat *dst, size_t ndsts, const int *fromTo, size_t npairs)
	copies selected channels from the input arrays to the selected channels of the output arrays More...
void	cv::mixChannels (const vector< Mat > &src, vector< Mat > &dst, const int *fromTo, size_t npairs)
void	cv::mixChannels (InputArrayOfArrays src, InputArrayOfArrays dst, const vector< int > &fromTo)
void	cv::extractChannel (InputArray src, OutputArray dst, int coi)
	extracts a single channel from src (coi is 0-based index) More...
void	cv::insertChannel (InputArray src, InputOutputArray dst, int coi)
	inserts a single channel to dst (coi is 0-based index) More...
void	cv::flip (InputArray src, OutputArray dst, int flipCode)
	reverses the order of the rows, columns or both in a matrix More...
void	cv::repeat (InputArray src, int ny, int nx, OutputArray dst)
	replicates the input matrix the specified number of times in the horizontal and/or vertical direction More...
Mat	cv::repeat (const Mat &src, int ny, int nx)
void	cv::hconcat (const Mat *src, size_t nsrc, OutputArray dst)
void	cv::hconcat (InputArray src1, InputArray src2, OutputArray dst)
void	cv::hconcat (InputArrayOfArrays src, OutputArray dst)
void	cv::vconcat (const Mat *src, size_t nsrc, OutputArray dst)
void	cv::vconcat (InputArray src1, InputArray src2, OutputArray dst)
void	cv::vconcat (InputArrayOfArrays src, OutputArray dst)
void	cv::bitwise_and (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray())
	computes bitwise conjunction of the two arrays (dst = src1 & src2) More...
void	cv::bitwise_or (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray())
	computes bitwise disjunction of the two arrays (dst = src1 | src2) More...
void	cv::bitwise_xor (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray())
	computes bitwise exclusive-or of the two arrays (dst = src1 ^ src2) More...
void	cv::bitwise_not (InputArray src, OutputArray dst, InputArray mask=noArray())
	inverts each bit of array (dst = ~src) More...
void	cv::absdiff (InputArray src1, InputArray src2, OutputArray dst)
	computes element-wise absolute difference of two arrays (dst = abs(src1 - src2)) More...
void	cv::inRange (InputArray src, InputArray lowerb, InputArray upperb, OutputArray dst)
	set mask elements for those array elements which are within the element-specific bounding box (dst = lowerb <= src && src < upperb) More...
void	cv::compare (InputArray src1, InputArray src2, OutputArray dst, int cmpop)
	compares elements of two arrays (dst = src1 <cmpop> src2) More...
void	cv::min (InputArray src1, InputArray src2, OutputArray dst)
	computes per-element minimum of two arrays (dst = min(src1, src2)) More...
void	cv::max (InputArray src1, InputArray src2, OutputArray dst)
	computes per-element maximum of two arrays (dst = max(src1, src2)) More...
void	cv::min (const Mat &src1, const Mat &src2, Mat &dst)
	computes per-element minimum of two arrays (dst = min(src1, src2)) More...
void	cv::min (const Mat &src1, double src2, Mat &dst)
	computes per-element minimum of array and scalar (dst = min(src1, src2)) More...
void	cv::max (const Mat &src1, const Mat &src2, Mat &dst)
	computes per-element maximum of two arrays (dst = max(src1, src2)) More...
void	cv::max (const Mat &src1, double src2, Mat &dst)
	computes per-element maximum of array and scalar (dst = max(src1, src2)) More...
void	cv::sqrt (InputArray src, OutputArray dst)
	computes square root of each matrix element (dst = src**0.5) More...
void	cv::pow (InputArray src, double power, OutputArray dst)
	raises the input matrix elements to the specified power (b = a**power) More...
void	cv::exp (InputArray src, OutputArray dst)
	computes exponent of each matrix element (dst = e**src) More...
void	cv::log (InputArray src, OutputArray dst)
	computes natural logarithm of absolute value of each matrix element: dst = log(abs(src)) More...
float	cv::cubeRoot (float val)
	computes cube root of the argument More...
float	cv::fastAtan2 (float y, float x)
	computes the angle in degrees (0..360) of the vector (x,y) More...
void	cv::exp (const float *src, float *dst, int n)
void	cv::log (const float *src, float *dst, int n)
void	cv::fastAtan2 (const float *y, const float *x, float *dst, int n, bool angleInDegrees)
void	cv::magnitude (const float *x, const float *y, float *dst, int n)
void	cv::polarToCart (InputArray magnitude, InputArray angle, OutputArray x, OutputArray y, bool angleInDegrees=false)
	converts polar coordinates to Cartesian More...
void	cv::cartToPolar (InputArray x, InputArray y, OutputArray magnitude, OutputArray angle, bool angleInDegrees=false)
	converts Cartesian coordinates to polar More...
void	cv::phase (InputArray x, InputArray y, OutputArray angle, bool angleInDegrees=false)
	computes angle (angle(i)) of each (x(i), y(i)) vector More...
void	cv::magnitude (InputArray x, InputArray y, OutputArray magnitude)
	computes magnitude (magnitude(i)) of each (x(i), y(i)) vector More...
bool	cv::checkRange (InputArray a, bool quiet=true, CV_OUT Point *pos=0, double minVal=-DBL_MAX, double maxVal=DBL_MAX)
	checks that each matrix element is within the specified range. More...
void	cv::patchNaNs (InputOutputArray a, double val=0)
	converts NaN's to the given number More...
void	cv::gemm (InputArray src1, InputArray src2, double alpha, InputArray src3, double beta, OutputArray dst, int flags=0)
	implements generalized matrix product algorithm GEMM from BLAS More...
void	cv::mulTransposed (InputArray src, OutputArray dst, bool aTa, InputArray delta=noArray(), double scale=1, int dtype=-1)
	multiplies matrix by its transposition from the left or from the right More...
void	cv::transpose (InputArray src, OutputArray dst)
	transposes the matrix More...
void	cv::transform (InputArray src, OutputArray dst, InputArray m)
	performs affine transformation of each element of multi-channel input matrix More...
void	cv::perspectiveTransform (InputArray src, OutputArray dst, InputArray m)
	performs perspective transformation of each element of multi-channel input matrix More...
void	cv::completeSymm (InputOutputArray mtx, bool lowerToUpper=false)
	extends the symmetrical matrix from the lower half or from the upper half More...
void	cv::setIdentity (InputOutputArray mtx, const Scalar &s=Scalar(1))
	initializes scaled identity matrix More...
double	cv::determinant (InputArray mtx)
	computes determinant of a square matrix More...
Scalar	cv::trace (InputArray mtx)
	computes trace of a matrix More...
double	cv::invert (InputArray src, OutputArray dst, int flags=DECOMP_LU)
	computes inverse or pseudo-inverse matrix More...
bool	cv::solve (InputArray src1, InputArray src2, OutputArray dst, int flags=DECOMP_LU)
	solves linear system or a least-square problem More...
void	cv::sort (InputArray src, OutputArray dst, int flags)
	sorts independently each matrix row or each matrix column More...
void	cv::sortIdx (InputArray src, OutputArray dst, int flags)
	sorts independently each matrix row or each matrix column More...
int	cv::solveCubic (InputArray coeffs, OutputArray roots)
	finds real roots of a cubic polynomial More...
double	cv::solvePoly (InputArray coeffs, OutputArray roots, int maxIters=300)
	finds real and complex roots of a polynomial More...
bool	cv::eigen (InputArray src, OutputArray eigenvalues, int lowindex=-1, int highindex=-1)
	finds eigenvalues of a symmetric matrix More...
bool	cv::eigen (InputArray src, OutputArray eigenvalues, OutputArray eigenvectors, int lowindex=-1, int highindex=-1)
	finds eigenvalues and eigenvectors of a symmetric matrix More...
bool	cv::eigen (InputArray src, bool computeEigenvectors, OutputArray eigenvalues, OutputArray eigenvectors)
void	cv::calcCovarMatrix (const Mat *samples, int nsamples, Mat &covar, Mat &mean, int flags, int ctype=CV_64F)
	computes covariation matrix of a set of samples More...
void	cv::calcCovarMatrix (InputArray samples, OutputArray covar, OutputArray mean, int flags, int ctype=CV_64F)
	computes covariation matrix of a set of samples More...
void	cv::PCACompute (InputArray data, CV_OUT InputOutputArray mean, OutputArray eigenvectors, int maxComponents=0)
void	cv::PCAComputeVar (InputArray data, CV_OUT InputOutputArray mean, OutputArray eigenvectors, double retainedVariance)
void	cv::PCAProject (InputArray data, InputArray mean, InputArray eigenvectors, OutputArray result)
void	cv::PCABackProject (InputArray data, InputArray mean, InputArray eigenvectors, OutputArray result)
void	cv::SVDecomp (InputArray src, CV_OUT OutputArray w, CV_OUT OutputArray u, CV_OUT OutputArray vt, int flags=0)
	computes SVD of src More...
void	cv::SVBackSubst (InputArray w, InputArray u, InputArray vt, InputArray rhs, CV_OUT OutputArray dst)
	performs back substitution for the previously computed SVD More...
double	cv::Mahalanobis (InputArray v1, InputArray v2, InputArray icovar)
	computes Mahalanobis distance between two vectors: sqrt((v1-v2)'icovar(v1-v2)), where icovar is the inverse covariation matrix More...
double	cv::Mahalonobis (InputArray v1, InputArray v2, InputArray icovar)
	a synonym for Mahalanobis More...
void	cv::dft (InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0)
	performs forward or inverse 1D or 2D Discrete Fourier Transformation More...
void	cv::idft (InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0)
	performs inverse 1D or 2D Discrete Fourier Transformation More...
void	cv::dct (InputArray src, OutputArray dst, int flags=0)
	performs forward or inverse 1D or 2D Discrete Cosine Transformation More...
void	cv::idct (InputArray src, OutputArray dst, int flags=0)
	performs inverse 1D or 2D Discrete Cosine Transformation More...
void	cv::mulSpectrums (InputArray a, InputArray b, OutputArray c, int flags, bool conjB=false)
	computes element-wise product of the two Fourier spectrums. The second spectrum can optionally be conjugated before the multiplication More...
int	cv::getOptimalDFTSize (int vecsize)
	computes the minimal vector size vecsize1 >= vecsize so that the dft() of the vector of length vecsize1 can be computed efficiently More...
double	cv::kmeans (InputArray data, int K, CV_OUT InputOutputArray bestLabels, TermCriteria criteria, int attempts, int flags, OutputArray centers=noArray())
	clusters the input data using k-Means algorithm More...
RNG &	cv::theRNG ()
	returns the thread-local Random number generator More...
void	cv::setRNGSeed (int seed)
	sets state of the thread-local Random number generator More...
void	cv::randu (InputOutputArray dst, InputArray low, InputArray high)
	fills array with uniformly-distributed random numbers from the range [low, high) More...
void	cv::randn (InputOutputArray dst, InputArray mean, InputArray stddev)
	fills array with normally-distributed random numbers with the specified mean and the standard deviation More...
void	cv::randShuffle (InputOutputArray dst, double iterFactor=1., RNG *rng=0)
	shuffles the input array elements More...
	cv::CV_EXPORTS_AS (randShuffle) void randShuffle_(InputOutputArray dst
void	cv::line (CV_IN_OUT Mat &img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws the line segment (pt1, pt2) in the image More...
void	cv::arrowedLine (CV_IN_OUT Mat &img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int line_type=8, int shift=0, double tipLength=0.1)
	draws an arrow from pt1 to pt2 in the image More...
void	cv::rectangle (CV_IN_OUT Mat &img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws the rectangle outline or a solid rectangle with the opposite corners pt1 and pt2 in the image More...
void	cv::rectangle (CV_IN_OUT Mat &img, Rect rec, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws the rectangle outline or a solid rectangle covering rec in the image More...
void	cv::circle (CV_IN_OUT Mat &img, Point center, int radius, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws the circle outline or a solid circle in the image More...
void	cv::ellipse (CV_IN_OUT Mat &img, Point center, Size axes, double angle, double startAngle, double endAngle, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws an elliptic arc, ellipse sector or a rotated ellipse in the image More...
void	cv::ellipse (CV_IN_OUT Mat &img, const RotatedRect &box, const Scalar &color, int thickness=1, int lineType=8)
	draws a rotated ellipse in the image More...
void	cv::drawMarker (CV_IN_OUT Mat &img, Point position, const Scalar &color, int markerType=MARKER_CROSS, int markerSize=20, int thickness=1, int line_type=8)
	Draws a marker on a predefined position in an image. More...
void	cv::fillConvexPoly (Mat &img, const Point *pts, int npts, const Scalar &color, int lineType=8, int shift=0)
	draws a filled convex polygon in the image More...
void	cv::fillConvexPoly (InputOutputArray img, InputArray points, const Scalar &color, int lineType=8, int shift=0)
void	cv::fillPoly (Mat &img, const Point **pts, const int *npts, int ncontours, const Scalar &color, int lineType=8, int shift=0, Point offset=Point())
	fills an area bounded by one or more polygons More...
void	cv::fillPoly (InputOutputArray img, InputArrayOfArrays pts, const Scalar &color, int lineType=8, int shift=0, Point offset=Point())
void	cv::polylines (Mat &img, const Point **pts, const int *npts, int ncontours, bool isClosed, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
	draws one or more polygonal curves More...
void	cv::polylines (InputOutputArray img, InputArrayOfArrays pts, bool isClosed, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
bool	cv::clipLine (Size imgSize, CV_IN_OUT Point &pt1, CV_IN_OUT Point &pt2)
	clips the line segment by the rectangle Rect(0, 0, imgSize.width, imgSize.height) More...
bool	cv::clipLine (Size2l imgSize, CV_IN_OUT Point2l &pt1, CV_IN_OUT Point2l &pt2)
bool	cv::clipLine (Rect imgRect, CV_OUT CV_IN_OUT Point &pt1, CV_OUT CV_IN_OUT Point &pt2)
	clips the line segment by the rectangle imgRect More...
void	cv::ellipse2Poly (Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, CV_OUT vector< Point > &pts)
	converts elliptic arc to a polygonal curve More...
void	cv::ellipse2Poly (Point2d center, Size2d axes, int angle, int arcStart, int arcEnd, int delta, CV_OUT vector< Point2d > &pts)
void	cv::putText (Mat &img, const string &text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int lineType=8, bool bottomLeftOrigin=false)
	renders text string in the image More...
Size	cv::getTextSize (const string &text, int fontFace, double fontScale, int thickness, CV_OUT int *baseLine)
	returns bounding box of the text string More...
ConvertData	cv::getConvertElem (int fromType, int toType)
	returns the function for converting pixels from one data type to another More...
ConvertScaleData	cv::getConvertScaleElem (int fromType, int toType)
	returns the function for converting pixels from one data type to another with the optional scaling More...
void	cv::minMaxLoc (const SparseMat &a, double *minVal, double *maxVal, int *minIdx=0, int *maxIdx=0)
	finds global minimum and maximum sparse array elements and returns their values and their locations More...
double	cv::norm (const SparseMat &src, int normType)
	computes norm of a sparse matrix More...
void	cv::normalize (const SparseMat &src, SparseMat &dst, double alpha, int normType)
	scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values More...
template<>
std::string	cv::CommandLineParser::analyzeValue< std::string > (const std::string &str, bool space_delete)
void	cv::parallel_for_ (const Range &range, const ParallelLoopBody &body, double nstripes=-1.)

Variables
double	cv::iterFactor =1.)

Macro Definition Documentation

CV_Assert

#define CV_Assert

(

expr

)

if(!!(expr)) ; else cv::error( cv::Exception(CV_StsAssert, #expr, CV_Func, __FILE__, __LINE__) )

CV_DbgAssert

#define CV_DbgAssert

(

expr

)

CV_Error

#define CV_Error	(		code,
			msg
	)		cv::error( cv::Exception(code, msg, CV_Func, __FILE__, __LINE__) )

CV_Error_

#define CV_Error_	(		code,
			args
	)		cv::error( cv::Exception(code, cv::format args, CV_Func, __FILE__, __LINE__) )

CV_Func

#define CV_Func   ""