Modules
	Basic structures

	C structures and operations

	Operations on arrays

	XML/YAML Persistence

	Clustering

	Utility and system functions and macros

	OpenGL interoperability

	Intel IPP Asynchronous C/C++ Converters

	Optimization Algorithms

	DirectX interoperability

	Eigen support

	OpenCL support

Classes
class	cv::Affine3< T >
	Affine transform. More...

class	cv::BufferPoolController

class	cv::WImage< T >
	Image class which provides a thin layer around an IplImage. More...

class	cv::WImageBuffer< T >

class	cv::WImageBufferC< T, C >

class	cv::WImageC< T, C >

class	cv::WImageView< T >

class	cv::WImageViewC< T, C >

Typedefs
typedef Affine3< double >	cv::Affine3d

typedef Affine3< float >	cv::Affine3f

typedef WImageC< short, 1 >	cv::WImage1_16s

typedef WImageC< ushort, 1 >	cv::WImage1_16u

typedef WImageC< uchar, 1 >	cv::WImage1_b

typedef WImageC< float, 1 >	cv::WImage1_f

typedef WImageC< short, 3 >	cv::WImage3_16s

typedef WImageC< ushort, 3 >	cv::WImage3_16u

typedef WImageC< uchar, 3 >	cv::WImage3_b

typedef WImageC< float, 3 >	cv::WImage3_f

typedef WImage< short >	cv::WImage_16s

typedef WImage< ushort >	cv::WImage_16u

typedef WImage< uchar >	cv::WImage_b

typedef WImage< float >	cv::WImage_f

typedef WImageBufferC< short, 1 >	cv::WImageBuffer1_16s

typedef WImageBufferC< ushort, 1 >	cv::WImageBuffer1_16u

typedef WImageBufferC< uchar, 1 >	cv::WImageBuffer1_b

typedef WImageBufferC< float, 1 >	cv::WImageBuffer1_f

typedef WImageBufferC< short, 3 >	cv::WImageBuffer3_16s

typedef WImageBufferC< ushort, 3 >	cv::WImageBuffer3_16u

typedef WImageBufferC< uchar, 3 >	cv::WImageBuffer3_b

typedef WImageBufferC< float, 3 >	cv::WImageBuffer3_f

typedef WImageBuffer< short >	cv::WImageBuffer_16s

typedef WImageBuffer< ushort >	cv::WImageBuffer_16u

typedef WImageBuffer< uchar >	cv::WImageBuffer_b

typedef WImageBuffer< float >	cv::WImageBuffer_f

typedef WImageViewC< short, 1 >	cv::WImageView1_16s

typedef WImageViewC< ushort, 1 >	cv::WImageView1_16u

typedef WImageViewC< uchar, 1 >	cv::WImageView1_b

typedef WImageViewC< float, 1 >	cv::WImageView1_f

typedef WImageViewC< short, 3 >	cv::WImageView3_16s

typedef WImageViewC< ushort, 3 >	cv::WImageView3_16u

typedef WImageViewC< uchar, 3 >	cv::WImageView3_b

typedef WImageViewC< float, 3 >	cv::WImageView3_f

typedef WImageView< short >	cv::WImageView_16s

typedef WImageView< ushort >	cv::WImageView_16u

typedef WImageView< uchar >	cv::WImageView_b

typedef WImageView< float >	cv::WImageView_f

Enumerations
enum	{ cv::WImageC< T, C >::kChannels = C }

enum	{ cv::WImageBufferC< T, C >::kChannels = C }

enum	{ cv::WImageViewC< T, C >::kChannels = C }

enum	cv::CovarFlags { 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 }
	Covariation flags. More...

enum	cv::HersheyFonts { 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 }

enum	cv::KmeansFlags { cv::KMEANS_RANDOM_CENTERS = 0, cv::KMEANS_PP_CENTERS = 2, cv::KMEANS_USE_INITIAL_LABELS = 1 }
	k-Means flags More...

enum	cv::LineTypes { cv::FILLED = -1, cv::LINE_4 = 4, cv::LINE_8 = 8, cv::LINE_AA = 16 }
	type of line More...

enum	cv::ReduceTypes { cv::REDUCE_SUM = 0, cv::REDUCE_AVG = 1, cv::REDUCE_MAX = 2, cv::REDUCE_MIN = 3 }

Functions
	cv::WImageView< T >::WImageView (WImage< T > *img, int c, int r, int width, int height)

	cv::WImageView< T >::WImageView (T *data, int width, int height, int channels, int width_step=-1)

	cv::WImageViewC< T, C >::WImageViewC ()

	cv::WImageViewC< T, C >::WImageViewC (WImageC< T, C > *img, int c, int r, int width, int height)

	cv::WImageViewC< T, C >::WImageViewC (T *data, int width, int height, int width_step=-1)

virtual	cv::WImage< T >::~WImage ()=0

virtual	cv::WImageC< T, C >::~WImageC ()=0

void	cv::WImageBuffer< T >::Allocate (int width, int height, int nchannels)

void	cv::WImageBufferC< T, C >::Allocate (int width, int height)

template<typename T >
static Affine3< T >	cv::operator* (const Affine3< T > &affine1, const Affine3< T > &affine2)

template<typename T , typename V >
static V	cv::operator* (const Affine3< T > &affine, const V &vector)

static Vec3f	cv::operator* (const Affine3f &affine, const Vec3f &vector)

static Vec3d	cv::operator* (const Affine3d &affine, const Vec3d &vector)

void	cv::swap (Mat &a, Mat &b)
	Swaps two matrices. More...

void	cv::swap (UMat &a, UMat &b)

WImageView< T >	cv::WImage< T >::View (int c, int r, int width, int height)

WImageViewC< T, C >	cv::WImageC< T, C >::View (int c, int r, int width, int height)

Detailed Description

Typedef Documentation

typedef Affine3<double> cv::Affine3d

typedef Affine3<float> cv::Affine3f

typedef WImageC<short, 1> cv::WImage1_16s

typedef WImageC<ushort, 1> cv::WImage1_16u

typedef WImageC<uchar, 1> cv::WImage1_b

typedef WImageC<float, 1> cv::WImage1_f

typedef WImageC<short, 3> cv::WImage3_16s

typedef WImageC<ushort, 3> cv::WImage3_16u

typedef WImageC<uchar, 3> cv::WImage3_b

typedef WImageC<float, 3> cv::WImage3_f

typedef WImage<short> cv::WImage_16s

typedef WImage<ushort> cv::WImage_16u

typedef WImage<uchar> cv::WImage_b

typedef WImage<float> cv::WImage_f

typedef WImageBufferC<short, 1> cv::WImageBuffer1_16s

typedef WImageBufferC<ushort, 1> cv::WImageBuffer1_16u

typedef WImageBufferC<uchar, 1> cv::WImageBuffer1_b

typedef WImageBufferC<float, 1> cv::WImageBuffer1_f

typedef WImageBufferC<short, 3> cv::WImageBuffer3_16s

typedef WImageBufferC<ushort, 3> cv::WImageBuffer3_16u

typedef WImageBufferC<uchar, 3> cv::WImageBuffer3_b

typedef WImageBufferC<float, 3> cv::WImageBuffer3_f

typedef WImageBuffer<short> cv::WImageBuffer_16s

typedef WImageBuffer<ushort> cv::WImageBuffer_16u

typedef WImageBuffer<uchar> cv::WImageBuffer_b

typedef WImageBuffer<float> cv::WImageBuffer_f

typedef WImageViewC<short, 1> cv::WImageView1_16s

typedef WImageViewC<ushort, 1> cv::WImageView1_16u

typedef WImageViewC<uchar, 1> cv::WImageView1_b

typedef WImageViewC<float, 1> cv::WImageView1_f

typedef WImageViewC<short, 3> cv::WImageView3_16s

typedef WImageViewC<ushort, 3> cv::WImageView3_16u

typedef WImageViewC<uchar, 3> cv::WImageView3_b

typedef WImageViewC<float, 3> cv::WImageView3_f

typedef WImageView<short> cv::WImageView_16s

typedef WImageView<ushort> cv::WImageView_16u

typedef WImageView<uchar> cv::WImageView_b

typedef WImageView<float> cv::WImageView_f

Enumeration Type Documentation

template<typename T, int C>

anonymous enum

Enumerator
kChannels

template<typename T , int C>

anonymous enum

Enumerator
kChannels

template<typename T, int C>

anonymous enum

Enumerator
kChannels

enum cv::CovarFlags

Covariation flags.

Enumerator
COVAR_SCRAMBLED	The output covariance matrix is calculated as: \[\texttt{scale} \cdot [ \texttt{vects} [0]- \texttt{mean} , \texttt{vects} [1]- \texttt{mean} ,...]^T \cdot [ \texttt{vects} [0]- \texttt{mean} , \texttt{vects} [1]- \texttt{mean} ,...],\] The covariance matrix will be nsamples x nsamples. Such an unusual covariance matrix is used for fast PCA of a set of very large vectors (see, for example, the EigenFaces technique for face recognition). Eigenvalues of this "scrambled" matrix match the eigenvalues of the true covariance matrix. The "true" eigenvectors can be easily calculated from the eigenvectors of the "scrambled" covariance matrix.
COVAR_NORMAL	The output covariance matrix is calculated as: \[\texttt{scale} \cdot [ \texttt{vects} [0]- \texttt{mean} , \texttt{vects} [1]- \texttt{mean} ,...] \cdot [ \texttt{vects} [0]- \texttt{mean} , \texttt{vects} [1]- \texttt{mean} ,...]^T,\] covar will be a square matrix of the same size as the total number of elements in each input vector. One and only one of COVAR_SCRAMBLED and COVAR_NORMAL must be specified.
COVAR_USE_AVG	If the flag is specified, the function does not calculate mean from the input vectors but, instead, uses the passed mean vector. This is useful if mean has been pre-calculated or known in advance, or if the covariance matrix is calculated by parts. In this case, mean is not a mean vector of the input sub-set of vectors but rather the mean vector of the whole set.
COVAR_SCALE	If the flag is specified, the covariance matrix is scaled. In the "normal" mode, scale is 1./nsamples . In the "scrambled" mode, scale is the reciprocal of the total number of elements in each input vector. By default (if the flag is not specified), the covariance matrix is not scaled ( scale=1 ).
COVAR_ROWS	If the flag is specified, all the input vectors are stored as rows of the samples matrix. mean should be a single-row vector in this case.
COVAR_COLS	If the flag is specified, all the input vectors are stored as columns of the samples matrix. mean should be a single-column vector in this case.

enum cv::HersheyFonts

Only a subset of Hershey fonts http://sources.isc.org/utils/misc/hershey-font.txt are supported

Enumerator
FONT_HERSHEY_SIMPLEX	normal size sans-serif font
FONT_HERSHEY_PLAIN	small size sans-serif font
FONT_HERSHEY_DUPLEX	normal size sans-serif font (more complex than FONT_HERSHEY_SIMPLEX)
FONT_HERSHEY_COMPLEX	normal size serif font
FONT_HERSHEY_TRIPLEX	normal size serif font (more complex than FONT_HERSHEY_COMPLEX)
FONT_HERSHEY_COMPLEX_SMALL	smaller version of FONT_HERSHEY_COMPLEX
FONT_HERSHEY_SCRIPT_SIMPLEX	hand-writing style font
FONT_HERSHEY_SCRIPT_COMPLEX	more complex variant of FONT_HERSHEY_SCRIPT_SIMPLEX
FONT_ITALIC	flag for italic font

enum cv::KmeansFlags

k-Means flags

Enumerator
KMEANS_RANDOM_CENTERS	Select random initial centers in each attempt.
KMEANS_PP_CENTERS	Use kmeans++ center initialization by Arthur and Vassilvitskii [Arthur2007].
KMEANS_USE_INITIAL_LABELS	During the first (and possibly the only) attempt, use the user-supplied labels instead of computing them from the initial centers. For the second and further attempts, use the random or semi-random centers. Use one of KMEANS_*_CENTERS flag to specify the exact method.

enum cv::LineTypes

type of line

Enumerator
FILLED
LINE_4	4-connected line
LINE_8	8-connected line
LINE_AA	antialiased line

enum cv::ReduceTypes

Enumerator
REDUCE_SUM	the output is the sum of all rows/columns of the matrix.
REDUCE_AVG	the output is the mean vector of all rows/columns of the matrix.
REDUCE_MAX	the output is the maximum (column/row-wise) of all rows/columns of the matrix.
REDUCE_MIN	the output is the minimum (column/row-wise) of all rows/columns of the matrix.

Function Documentation

template<typename T >

cv::WImageView< T >::WImageView	(	WImage< T > *	img,
		int	c,
		int	r,
		int	width,
		int	height
	)

template<typename T >

cv::WImageView< T >::WImageView	(	T *	data,
		int	width,
		int	height,
		int	channels,
		int	width_step = `-1`
	)

template<typename T , int C>

cv::WImageViewC< T, C >::WImageViewC ( )

template<typename T , int C>

cv::WImageViewC< T, C >::WImageViewC	(	WImageC< T, C > *	img,
		int	c,
		int	r,
		int	width,
		int	height
	)

template<typename T , int C>

cv::WImageViewC< T, C >::WImageViewC	(	T *	data,
		int	width,
		int	height,
		int	width_step = `-1`
	)

template<typename T >

cv::WImage< T >::~WImage ( )

inlinepure virtual

template<typename T , int C>

cv::WImageC< T, C >::~WImageC ( )

inlinepure virtual

template<typename T >

void cv::WImageBuffer< T >::Allocate	(	int	width,
		int	height,
		int	nchannels
	)

inline

template<typename T , int C>

void cv::WImageBufferC< T, C >::Allocate	(	int	width,
		int	height
	)

inline

template<typename T >

static Affine3<T> cv::operator*	(	const Affine3< T > &	affine1,
		const Affine3< T > &	affine2
	)

static

template<typename T , typename V >

static V cv::operator*	(	const Affine3< T > &	affine,
		const V &	vector
	)

static

static Vec3f cv::operator*	(	const Affine3f &	affine,
		const Vec3f &	vector
	)

static

static Vec3d cv::operator*	(	const Affine3d &	affine,
		const Vec3d &	vector
	)

static

void cv::swap	(	Mat &	a,
		Mat &	b
	)

Swaps two matrices.

void cv::swap	(	UMat &	a,
		UMat &	b
	)

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

template<typename T >

WImageView< T > cv::WImage< T >::View	(	int	c,
		int	r,
		int	width,
		int	height
	)

template<typename T , int C>

WImageViewC< T, C > cv::WImageC< T, C >::View	(	int	c,
		int	r,
		int	width,
		int	height
	)

Modules

Classes

Typedefs

Enumerations

Functions

Detailed Description

Typedef Documentation

Enumeration Type Documentation

Function Documentation