cv::SparseMat_< _Tp > Class Template Reference

Template sparse n-dimensional array class derived from SparseMat. More...

#include <opencv2/core/mat.hpp>

Collaboration diagram for cv::SparseMat_< _Tp >:

Public Types
typedef SparseMatConstIterator_< _Tp >	const_iterator
typedef SparseMatIterator_< _Tp >	iterator
Public Types inherited from cv::SparseMat
enum	{   MAGIC_VAL =0x42FD0000 ,   MAX_DIM =32 ,   HASH_SCALE =0x5bd1e995 ,   HASH_BIT =0x80000000 }
typedef SparseMatConstIterator	const_iterator
typedef SparseMatIterator	iterator

Public Member Functions
	SparseMat_ ()
	the default constructor
	SparseMat_ (const Mat &m)
	converts dense matrix to the sparse form
	SparseMat_ (const SparseMat &m)
	the copy constructor. If DataType<_Tp>.type != m.type(), the m elements are converted
	SparseMat_ (const SparseMat_ &m)
	the copy constructor. This is O(1) operation - no data is copied
	SparseMat_ (int dims, const int *_sizes)
	the full constructor equivalent to SparseMat(dims, _sizes, DataType<_Tp>::type)
SparseMatIterator_< _Tp >	begin ()
	returns sparse matrix iterator pointing to the first sparse matrix element
SparseMatConstIterator_< _Tp >	begin () const
	returns read-only sparse matrix iterator pointing to the first sparse matrix element
int	channels () const
	returns the number of channels in each matrix element
CV_NODISCARD_STD SparseMat_	clone () const
	makes full copy of the matrix. All the elements are duplicated
void	create (int dims, const int *_sizes)
	equivalent to cv::SparseMat::create(dims, _sizes, DataType<_Tp>::type)
int	depth () const
	returns depth of the matrix elements
SparseMatIterator_< _Tp >	end ()
	returns sparse matrix iterator pointing to the element following the last sparse matrix element
SparseMatConstIterator_< _Tp >	end () const
	returns read-only sparse matrix iterator pointing to the element following the last sparse matrix element
_Tp	operator() (const int *idx, size_t *hashval=0) const
	equivalent to SparseMat::value<_Tp>(idx, hashval)
_Tp	operator() (int i0, int i1, int i2, size_t *hashval=0) const
	equivalent to SparseMat::value<_Tp>(i0, i1, i2, hashval)
_Tp	operator() (int i0, int i1, size_t *hashval=0) const
	equivalent to SparseMat::value<_Tp>(i0, i1, hashval)
_Tp	operator() (int i0, size_t *hashval=0) const
	equivalent to SparseMat::value<_Tp>(i0, hashval)
SparseMat_ &	operator= (const Mat &m)
	converts dense matrix to the sparse form
SparseMat_ &	operator= (const SparseMat &m)
	converts the old-style sparse matrix to the C++ class. All the elements are copied
SparseMat_ &	operator= (const SparseMat_ &m)
	the assignment operator. This is O(1) operation - no data is copied
_Tp &	ref (const int *idx, size_t *hashval=0)
	equivalent to SparseMat::ref<_Tp>(idx, hashval)
_Tp &	ref (int i0, int i1, int i2, size_t *hashval=0)
	equivalent to SparseMat::ref<_Tp>(i0, i1, i2, hashval)
_Tp &	ref (int i0, int i1, size_t *hashval=0)
	equivalent to SparseMat::ref<_Tp>(i0, i1, hashval)
_Tp &	ref (int i0, size_t *hashval=0)
	equivalent to SparseMat::ref<_Tp>(i0, hashval)
int	type () const
	converts sparse matrix to the old-style CvSparseMat. All the elements are copied
Public Member Functions inherited from cv::SparseMat
	SparseMat ()
	Various SparseMat constructors.
	SparseMat (const Mat &m)
	SparseMat (const SparseMat &m)
	SparseMat (int dims, const int *_sizes, int _type)
	~SparseMat ()
	the destructor
void	addref ()
	manually increments the reference counter to the header.
void	assignTo (SparseMat &m, int type=-1) const
int	channels () const
	returns the number of channels
void	clear ()
	sets all the sparse matrix elements to 0, which means clearing the hash table.
CV_NODISCARD_STD SparseMat	clone () const
	creates full copy of the matrix
void	convertTo (Mat &m, int rtype, double alpha=1, double beta=0) const
	converts sparse matrix to dense n-dim matrix with optional type conversion and scaling.
void	convertTo (SparseMat &m, int rtype, double alpha=1) const
	multiplies all the matrix elements by the specified scale factor alpha and converts the results to the specified data type
void	copyTo (Mat &m) const
	converts sparse matrix to dense matrix.
void	copyTo (SparseMat &m) const
	copies all the data to the destination matrix. All the previous content of m is erased
void	create (int dims, const int *_sizes, int _type)
	reallocates sparse matrix.
int	depth () const
	returns the depth of sparse matrix elements
int	dims () const
	returns the matrix dimensionality
size_t	elemSize () const
	converts sparse matrix to the old-style representation; all the elements are copied.
size_t	elemSize1 () const
	returns elemSize()/channels()
SparseMatIterator	end ()
	returns the sparse matrix iterator at the matrix end
template<typename _Tp >
SparseMatIterator_< _Tp >	end ()
	returns the typed sparse matrix iterator at the matrix end
SparseMatConstIterator	end () const
	returns the read-only sparse matrix iterator at the matrix end
template<typename _Tp >
SparseMatConstIterator_< _Tp >	end () const
	returns the typed read-only sparse matrix iterator at the matrix end
void	erase (const int *idx, size_t *hashval=0)
	erases the specified element (nD case)
void	erase (int i0, int i1, int i2, size_t *hashval=0)
	erases the specified element (3D case)
void	erase (int i0, int i1, size_t *hashval=0)
	erases the specified element (2D case)
size_t	hash (const int *idx) const
	computes the element hash value (nD case)
size_t	hash (int i0) const
	computes the element hash value (1D case)
size_t	hash (int i0, int i1) const
	computes the element hash value (2D case)
size_t	hash (int i0, int i1, int i2) const
	computes the element hash value (3D case)
uchar *	newNode (const int *idx, size_t hashval)
Node *	node (size_t nidx)
const Node *	node (size_t nidx) const
size_t	nzcount () const
	returns the number of non-zero elements (=the number of hash table nodes)
SparseMat &	operator= (const Mat &m)
	equivalent to the corresponding constructor
SparseMat &	operator= (const SparseMat &m)
	assignment operator. This is O(1) operation, i.e. no data is copied
void	release ()
void	removeNode (size_t hidx, size_t nidx, size_t previdx)
void	resizeHashTab (size_t newsize)
const int *	size () const
	returns the array of sizes, or NULL if the matrix is not allocated
int	size (int i) const
	returns the size of i-th matrix dimension (or 0)
int	type () const
	returns type of sparse matrix elements
template<typename _Tp >
const _Tp &	value (const Node *n) const
	returns the value stored in the sparse martix node
template<typename _Tp >
_Tp &	value (Node *n)
	returns the value stored in the sparse martix node
uchar *	ptr (int i0, bool createMissing, size_t *hashval=0)
	returns pointer to the specified element (1D case)
uchar *	ptr (int i0, int i1, bool createMissing, size_t *hashval=0)
	returns pointer to the specified element (2D case)
uchar *	ptr (int i0, int i1, int i2, bool createMissing, size_t *hashval=0)
	returns pointer to the specified element (3D case)
uchar *	ptr (const int *idx, bool createMissing, size_t *hashval=0)
	returns pointer to the specified element (nD case)
template<typename _Tp >
_Tp &	ref (int i0, size_t *hashval=0)
	returns reference to the specified element (1D case)
template<typename _Tp >
_Tp &	ref (int i0, int i1, size_t *hashval=0)
	returns reference to the specified element (2D case)
template<typename _Tp >
_Tp &	ref (int i0, int i1, int i2, size_t *hashval=0)
	returns reference to the specified element (3D case)
template<typename _Tp >
_Tp &	ref (const int *idx, size_t *hashval=0)
	returns reference to the specified element (nD case)
template<typename _Tp >
_Tp	value (int i0, size_t *hashval=0) const
	returns value of the specified element (1D case)
template<typename _Tp >
_Tp	value (int i0, int i1, size_t *hashval=0) const
	returns value of the specified element (2D case)
template<typename _Tp >
_Tp	value (int i0, int i1, int i2, size_t *hashval=0) const
	returns value of the specified element (3D case)
template<typename _Tp >
_Tp	value (const int *idx, size_t *hashval=0) const
	returns value of the specified element (nD case)
template<typename _Tp >
const _Tp *	find (int i0, size_t *hashval=0) const
	returns pointer to the specified element (1D case)
template<typename _Tp >
const _Tp *	find (int i0, int i1, size_t *hashval=0) const
	returns pointer to the specified element (2D case)
template<typename _Tp >
const _Tp *	find (int i0, int i1, int i2, size_t *hashval=0) const
	returns pointer to the specified element (3D case)
template<typename _Tp >
const _Tp *	find (const int *idx, size_t *hashval=0) const
	returns pointer to the specified element (nD case)
SparseMatIterator	begin ()
	returns the sparse matrix iterator at the matrix beginning
template<typename _Tp >
SparseMatIterator_< _Tp >	begin ()
	returns the sparse matrix iterator at the matrix beginning
SparseMatConstIterator	begin () const
	returns the read-only sparse matrix iterator at the matrix beginning
template<typename _Tp >
SparseMatConstIterator_< _Tp >	begin () const
	returns the read-only sparse matrix iterator at the matrix beginning

Additional Inherited Members
Public Attributes inherited from cv::SparseMat
int	flags
Hdr *	hdr

Detailed Description

template<typename _Tp>
class cv::SparseMat_< _Tp >

Template sparse n-dimensional array class derived from SparseMat.

SparseMat_ is a thin wrapper on top of SparseMat created in the same way as Mat_ . It simplifies notation of some operations:

int sz[] = {10, 20, 30};
SparseMat_<double> M(3, sz);
...
M.ref(1, 2, 3) = M(4, 5, 6) + M(7, 8, 9);

Member Typedef Documentation

const_iterator

template<typename _Tp >

SparseMatConstIterator_<_Tp> cv::SparseMat_< _Tp >::const_iterator

iterator

template<typename _Tp >

SparseMatIterator_<_Tp> cv::SparseMat_< _Tp >::iterator

Constructor & Destructor Documentation

SparseMat_() [1/5]

template<typename _Tp >

cv::SparseMat_< _Tp >::SparseMat_

(

)

the default constructor

SparseMat_() [2/5]

template<typename _Tp >

cv::SparseMat_< _Tp >::SparseMat_	(	int	dims,
		const int *	_sizes )

the full constructor equivalent to SparseMat(dims, _sizes, DataType<_Tp>::type)

SparseMat_() [3/5]

template<typename _Tp >

cv::SparseMat_< _Tp >::SparseMat_

(

const SparseMat &

m

)

the copy constructor. If DataType<_Tp>.type != m.type(), the m elements are converted

SparseMat_() [4/5]

template<typename _Tp >

cv::SparseMat_< _Tp >::SparseMat_

(

const SparseMat_< _Tp > &

m

)

the copy constructor. This is O(1) operation - no data is copied

SparseMat_() [5/5]

template<typename _Tp >

cv::SparseMat_< _Tp >::SparseMat_

(

const Mat &

m

)

converts dense matrix to the sparse form

Member Function Documentation

begin() [1/2]

template<typename _Tp >

SparseMatIterator_< _Tp > cv::SparseMat_< _Tp >::begin

(

)

returns sparse matrix iterator pointing to the first sparse matrix element

begin() [2/2]

template<typename _Tp >

SparseMatConstIterator_< _Tp > cv::SparseMat_< _Tp >::begin

(

)

const

returns read-only sparse matrix iterator pointing to the first sparse matrix element

channels()

template<typename _Tp >

int cv::SparseMat_< _Tp >::channels

(

)

const

returns the number of channels in each matrix element

clone()

template<typename _Tp >

CV_NODISCARD_STD SparseMat_ cv::SparseMat_< _Tp >::clone

(

)

const

makes full copy of the matrix. All the elements are duplicated

create()

template<typename _Tp >

void cv::SparseMat_< _Tp >::create	(	int	dims,
		const int *	_sizes )

equivalent to cv::SparseMat::create(dims, _sizes, DataType<_Tp>::type)

depth()

template<typename _Tp >

int cv::SparseMat_< _Tp >::depth

(

)

const

returns depth of the matrix elements

end() [1/2]

template<typename _Tp >

SparseMatIterator_< _Tp > cv::SparseMat_< _Tp >::end

(

)

returns sparse matrix iterator pointing to the element following the last sparse matrix element

end() [2/2]

template<typename _Tp >

SparseMatConstIterator_< _Tp > cv::SparseMat_< _Tp >::end

(

)

const

returns read-only sparse matrix iterator pointing to the element following the last sparse matrix element

operator()() [1/4]

template<typename _Tp >

_Tp cv::SparseMat_< _Tp >::operator()	(	const int *	idx,
		size_t *	hashval = 0 ) const

equivalent to SparseMat::value<_Tp>(idx, hashval)

operator()() [2/4]

template<typename _Tp >

_Tp cv::SparseMat_< _Tp >::operator()	(	int	i0,
		int	i1,
		int	i2,
		size_t *	hashval = 0 ) const

equivalent to SparseMat::value<_Tp>(i0, i1, i2, hashval)

operator()() [3/4]

template<typename _Tp >

_Tp cv::SparseMat_< _Tp >::operator()	(	int	i0,
		int	i1,
		size_t *	hashval = 0 ) const

equivalent to SparseMat::value<_Tp>(i0, i1, hashval)

operator()() [4/4]

template<typename _Tp >

_Tp cv::SparseMat_< _Tp >::operator()	(	int	i0,
		size_t *	hashval = 0 ) const

equivalent to SparseMat::value<_Tp>(i0, hashval)

operator=() [1/3]

template<typename _Tp >

SparseMat_ & cv::SparseMat_< _Tp >::operator=

(

const Mat &

m

)

converts dense matrix to the sparse form

operator=() [2/3]

template<typename _Tp >

SparseMat_ & cv::SparseMat_< _Tp >::operator=

(

const SparseMat &

m

)

converts the old-style sparse matrix to the C++ class. All the elements are copied

the assignment operator. If DataType<_Tp>.type != m.type(), the m elements are converted

operator=() [3/3]

template<typename _Tp >

SparseMat_ & cv::SparseMat_< _Tp >::operator=

(

const SparseMat_< _Tp > &

m

)

the assignment operator. This is O(1) operation - no data is copied

ref() [1/4]

template<typename _Tp >

_Tp & cv::SparseMat_< _Tp >::ref	(	const int *	idx,
		size_t *	hashval = 0 )

equivalent to SparseMat::ref<_Tp>(idx, hashval)

ref() [2/4]

template<typename _Tp >

_Tp & cv::SparseMat_< _Tp >::ref	(	int	i0,
		int	i1,
		int	i2,
		size_t *	hashval = 0 )

equivalent to SparseMat::ref<_Tp>(i0, i1, i2, hashval)

ref() [3/4]

template<typename _Tp >

_Tp & cv::SparseMat_< _Tp >::ref	(	int	i0,
		int	i1,
		size_t *	hashval = 0 )

equivalent to SparseMat::ref<_Tp>(i0, i1, hashval)

ref() [4/4]

template<typename _Tp >

_Tp & cv::SparseMat_< _Tp >::ref	(	int	i0,
		size_t *	hashval = 0 )

equivalent to SparseMat::ref<_Tp>(i0, hashval)

type()

template<typename _Tp >

int cv::SparseMat_< _Tp >::type

(

)

const

converts sparse matrix to the old-style CvSparseMat. All the elements are copied

returns type of the matrix elements

---

The documentation for this class was generated from the following file:

• opencv2/core/mat.hpp