OpenCV  4.1.0
Open Source Computer Vision
Public Types | Public Member Functions | List of all members
cv::cudev::GpuMat_< T > Class Template Reference

#include <opencv2/cudev/ptr2d/gpumat.hpp>

Inheritance diagram for cv::cudev::GpuMat_< T >:
cv::cuda::GpuMat

Public Types

typedef T value_type
 

Public Member Functions

__host__ GpuMat_ (Allocator *allocator=defaultAllocator())
 default constructor
 
__host__ GpuMat_ (int arows, int acols, Allocator *allocator=defaultAllocator())
 constructs GpuMat of the specified size
 
__host__ GpuMat_ (Size asize, Allocator *allocator=defaultAllocator())
 
__host__ GpuMat_ (int arows, int acols, Scalar val, Allocator *allocator=defaultAllocator())
 constucts GpuMat and fills it with the specified value
 
__host__ GpuMat_ (Size asize, Scalar val, Allocator *allocator=defaultAllocator())
 
__host__ GpuMat_ (const GpuMat_ &m)
 copy constructor
 
__host__ GpuMat_ (const GpuMat &m, Allocator *allocator=defaultAllocator())
 copy/conversion constructor. If m is of different type, it's converted
 
__host__ GpuMat_ (int arows, int acols, T *adata, size_t astep=Mat::AUTO_STEP)
 constructs a matrix on top of user-allocated data. step is in bytes(!!!), regardless of the type
 
__host__ GpuMat_ (Size asize, T *adata, size_t astep=Mat::AUTO_STEP)
 
__host__ GpuMat_ (const GpuMat_ &m, Range arowRange, Range acolRange)
 selects a submatrix
 
__host__ GpuMat_ (const GpuMat_ &m, Rect roi)
 
__host__ GpuMat_ (InputArray arr, Allocator *allocator=defaultAllocator())
 builds GpuMat from host memory (Blocking call)
 
template<class Body >
__host__ GpuMat_ (const Expr< Body > &expr)
 expression templates
 
__host__ GpuMat_adjustROI (int dtop, int dbottom, int dleft, int dright)
 
template<class Body >
__host__ GpuMat_assign (const Expr< Body > &expr, Stream &stream)
 
__host__ int channels () const
 
__host__ GpuMat_ clone () const
 overridden forms of GpuMat::row() etc.
 
__host__ GpuMat_ col (int x) const
 
__host__ GpuMat_ colRange (int startcol, int endcol) const
 
__host__ GpuMat_ colRange (Range r) const
 
__host__ void create (int arows, int acols)
 allocates new GpuMat data unless the GpuMat already has specified size and type
 
__host__ void create (Size asize)
 
__host__ int depth () const
 
__host__ size_t elemSize () const
 overridden forms of GpuMat::elemSize() etc.
 
__host__ size_t elemSize1 () const
 
__host__ GpuMat_ operator() (Range rowRange, Range colRange) const
 
__host__ GpuMat_ operator() (Rect roi) const
 
__host__ GpuMat_operator= (const GpuMat_ &m)
 assignment operators
 
template<class Body >
__host__ GpuMat_operator= (const Expr< Body > &expr)
 
__host__ T * operator[] (int y)
 more convenient forms of row and element access operators
 
__host__ const T * operator[] (int y) const
 
__host__ GpuMat_ row (int y) const
 
__host__ GpuMat_ rowRange (int startrow, int endrow) const
 
__host__ GpuMat_ rowRange (Range r) const
 
__host__ size_t step1 () const
 
__host__ size_t stepT () const
 returns step()/sizeof(T)
 
__host__ void swap (GpuMat_ &mat)
 swaps with other smart pointer
 
__host__ int type () const
 
__host__ void upload (InputArray arr)
 pefroms upload data to GpuMat (Blocking call)
 
__host__ void upload (InputArray arr, Stream &stream)
 pefroms upload data to GpuMat (Non-Blocking call)
 
- Public Member Functions inherited from cv::cuda::GpuMat
 GpuMat (GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
 default constructor
 
 GpuMat (int rows, int cols, int type, GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
 constructs GpuMat of the specified size and type
 
 GpuMat (Size size, int type, GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
 
 GpuMat (int rows, int cols, int type, Scalar s, GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
 constucts GpuMat and fills it with the specified value _s
 
 GpuMat (Size size, int type, Scalar s, GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
 
 GpuMat (const GpuMat &m)
 copy constructor
 
 GpuMat (int rows, int cols, int type, void *data, size_t step=Mat::AUTO_STEP)
 constructor for GpuMat headers pointing to user-allocated data
 
 GpuMat (Size size, int type, void *data, size_t step=Mat::AUTO_STEP)
 
 GpuMat (const GpuMat &m, Range rowRange, Range colRange)
 creates a GpuMat header for a part of the bigger matrix
 
 GpuMat (const GpuMat &m, Rect roi)
 
 GpuMat (InputArray arr, GpuMat::Allocator *allocator=GpuMat::defaultAllocator())
 builds GpuMat from host memory (Blocking call)
 
 ~GpuMat ()
 destructor - calls release()
 
GpuMatadjustROI (int dtop, int dbottom, int dleft, int dright)
 moves/resizes the current GpuMat ROI inside the parent GpuMat
 
void assignTo (GpuMat &m, int type=-1) const
 
int channels () const
 returns number of channels
 
GpuMat clone () const
 returns deep copy of the GpuMat, i.e. the data is copied
 
GpuMat col (int x) const
 returns a new GpuMat header for the specified column
 
GpuMat colRange (int startcol, int endcol) const
 ... for the specified column span
 
GpuMat colRange (Range r) const
 
void convertTo (OutputArray dst, int rtype) const
 converts GpuMat to another datatype (Blocking call)
 
void convertTo (OutputArray dst, int rtype, Stream &stream) const
 converts GpuMat to another datatype (Non-Blocking call)
 
void convertTo (OutputArray dst, int rtype, double alpha, double beta=0.0) const
 converts GpuMat to another datatype with scaling (Blocking call)
 
void convertTo (OutputArray dst, int rtype, double alpha, Stream &stream) const
 converts GpuMat to another datatype with scaling (Non-Blocking call)
 
void convertTo (OutputArray dst, int rtype, double alpha, double beta, Stream &stream) const
 converts GpuMat to another datatype with scaling (Non-Blocking call)
 
void copyTo (OutputArray dst) const
 copies the GpuMat content to device memory (Blocking call)
 
void copyTo (OutputArray dst, Stream &stream) const
 copies the GpuMat content to device memory (Non-Blocking call)
 
void copyTo (OutputArray dst, InputArray mask) const
 copies those GpuMat elements to "m" that are marked with non-zero mask elements (Blocking call)
 
void copyTo (OutputArray dst, InputArray mask, Stream &stream) const
 copies those GpuMat elements to "m" that are marked with non-zero mask elements (Non-Blocking call)
 
void create (int rows, int cols, int type)
 allocates new GpuMat data unless the GpuMat already has specified size and type
 
void create (Size size, int type)
 
int depth () const
 returns element type
 
void download (OutputArray dst) const
 Performs data download from GpuMat (Blocking call)
 
void download (OutputArray dst, Stream &stream) const
 Performs data download from GpuMat (Non-Blocking call)
 
size_t elemSize () const
 returns element size in bytes
 
size_t elemSize1 () const
 returns the size of element channel in bytes
 
bool empty () const
 returns true if GpuMat data is NULL
 
bool isContinuous () const
 
void locateROI (Size &wholeSize, Point &ofs) const
 locates GpuMat header within a parent GpuMat
 
template<typename _Tp >
 operator PtrStep< _Tp > () const
 
template<typename _Tp >
 operator PtrStepSz< _Tp > () const
 
GpuMat operator() (Range rowRange, Range colRange) const
 extracts a rectangular sub-GpuMat (this is a generalized form of row, rowRange etc.)
 
GpuMat operator() (Rect roi) const
 
GpuMatoperator= (const GpuMat &m)
 assignment operators
 
ucharptr (int y=0)
 returns pointer to y-th row
 
const ucharptr (int y=0) const
 
template<typename _Tp >
_Tp * ptr (int y=0)
 template version of the above method
 
template<typename _Tp >
const _Tp * ptr (int y=0) const
 
void release ()
 decreases reference counter, deallocate the data when reference counter reaches 0
 
GpuMat reshape (int cn, int rows=0) const
 
GpuMat row (int y) const
 returns a new GpuMat header for the specified row
 
GpuMat rowRange (int startrow, int endrow) const
 ... for the specified row span
 
GpuMat rowRange (Range r) const
 
GpuMatsetTo (Scalar s)
 sets some of the GpuMat elements to s (Blocking call)
 
GpuMatsetTo (Scalar s, Stream &stream)
 sets some of the GpuMat elements to s (Non-Blocking call)
 
GpuMatsetTo (Scalar s, InputArray mask)
 sets some of the GpuMat elements to s, according to the mask (Blocking call)
 
GpuMatsetTo (Scalar s, InputArray mask, Stream &stream)
 sets some of the GpuMat elements to s, according to the mask (Non-Blocking call)
 
Size size () const
 returns GpuMat size : width == number of columns, height == number of rows
 
size_t step1 () const
 returns step/elemSize1()
 
void swap (GpuMat &mat)
 swaps with other smart pointer
 
int type () const
 returns element type
 
void updateContinuityFlag ()
 internal use method: updates the continuity flag
 
void upload (InputArray arr)
 Performs data upload to GpuMat (Blocking call)
 
void upload (InputArray arr, Stream &stream)
 Performs data upload to GpuMat (Non-Blocking call)
 

Additional Inherited Members

- Static Public Member Functions inherited from cv::cuda::GpuMat
static GpuMat::AllocatordefaultAllocator ()
 default allocator
 
static void setDefaultAllocator (GpuMat::Allocator *allocator)
 
- Public Attributes inherited from cv::cuda::GpuMat
Allocatorallocator
 allocator
 
int cols
 
uchardata
 pointer to the data
 
const uchardataend
 
uchardatastart
 helper fields used in locateROI and adjustROI
 
int flags
 
int * refcount
 
int rows
 the number of rows and columns
 
size_t step
 a distance between successive rows in bytes; includes the gap if any
 

Member Typedef Documentation

template<typename T>
typedef T cv::cudev::GpuMat_< T >::value_type

Constructor & Destructor Documentation

template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( Allocator allocator = defaultAllocator())

default constructor

template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( int  arows,
int  acols,
Allocator allocator = defaultAllocator() 
)

constructs GpuMat of the specified size

template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( Size  asize,
Allocator allocator = defaultAllocator() 
)
explicit
template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( int  arows,
int  acols,
Scalar  val,
Allocator allocator = defaultAllocator() 
)

constucts GpuMat and fills it with the specified value

template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( Size  asize,
Scalar  val,
Allocator allocator = defaultAllocator() 
)
template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( const GpuMat_< T > &  m)

copy constructor

template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( const GpuMat m,
Allocator allocator = defaultAllocator() 
)
explicit

copy/conversion constructor. If m is of different type, it's converted

template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( int  arows,
int  acols,
T *  adata,
size_t  astep = Mat::AUTO_STEP 
)

constructs a matrix on top of user-allocated data. step is in bytes(!!!), regardless of the type

template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( Size  asize,
T *  adata,
size_t  astep = Mat::AUTO_STEP 
)
template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( const GpuMat_< T > &  m,
Range  arowRange,
Range  acolRange 
)

selects a submatrix

template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( const GpuMat_< T > &  m,
Rect  roi 
)
template<typename T>
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( InputArray  arr,
Allocator allocator = defaultAllocator() 
)
explicit

builds GpuMat from host memory (Blocking call)

template<typename T>
template<class Body >
__host__ cv::cudev::GpuMat_< T >::GpuMat_ ( const Expr< Body > &  expr)

expression templates

Member Function Documentation

template<typename T>
__host__ GpuMat_& cv::cudev::GpuMat_< T >::adjustROI ( int  dtop,
int  dbottom,
int  dleft,
int  dright 
)
template<typename T>
template<class Body >
__host__ GpuMat_& cv::cudev::GpuMat_< T >::assign ( const Expr< Body > &  expr,
Stream stream 
)
template<typename T>
__host__ int cv::cudev::GpuMat_< T >::channels ( ) const
template<typename T>
__host__ GpuMat_ cv::cudev::GpuMat_< T >::clone ( ) const

overridden forms of GpuMat::row() etc.

template<typename T>
__host__ GpuMat_ cv::cudev::GpuMat_< T >::col ( int  x) const
template<typename T>
__host__ GpuMat_ cv::cudev::GpuMat_< T >::colRange ( int  startcol,
int  endcol 
) const
template<typename T>
__host__ GpuMat_ cv::cudev::GpuMat_< T >::colRange ( Range  r) const
template<typename T>
__host__ void cv::cudev::GpuMat_< T >::create ( int  arows,
int  acols 
)

allocates new GpuMat data unless the GpuMat already has specified size and type

template<typename T>
__host__ void cv::cudev::GpuMat_< T >::create ( Size  asize)
template<typename T>
__host__ int cv::cudev::GpuMat_< T >::depth ( ) const
template<typename T>
__host__ size_t cv::cudev::GpuMat_< T >::elemSize ( ) const

overridden forms of GpuMat::elemSize() etc.

template<typename T>
__host__ size_t cv::cudev::GpuMat_< T >::elemSize1 ( ) const
template<typename T>
__host__ GpuMat_ cv::cudev::GpuMat_< T >::operator() ( Range  rowRange,
Range  colRange 
) const
template<typename T>
__host__ GpuMat_ cv::cudev::GpuMat_< T >::operator() ( Rect  roi) const
template<typename T>
__host__ GpuMat_& cv::cudev::GpuMat_< T >::operator= ( const GpuMat_< T > &  m)

assignment operators

template<typename T>
template<class Body >
__host__ GpuMat_& cv::cudev::GpuMat_< T >::operator= ( const Expr< Body > &  expr)
template<typename T>
__host__ T* cv::cudev::GpuMat_< T >::operator[] ( int  y)

more convenient forms of row and element access operators

template<typename T>
__host__ const T* cv::cudev::GpuMat_< T >::operator[] ( int  y) const
template<typename T>
__host__ GpuMat_ cv::cudev::GpuMat_< T >::row ( int  y) const
template<typename T>
__host__ GpuMat_ cv::cudev::GpuMat_< T >::rowRange ( int  startrow,
int  endrow 
) const
template<typename T>
__host__ GpuMat_ cv::cudev::GpuMat_< T >::rowRange ( Range  r) const
template<typename T>
__host__ size_t cv::cudev::GpuMat_< T >::step1 ( ) const
template<typename T>
__host__ size_t cv::cudev::GpuMat_< T >::stepT ( ) const

returns step()/sizeof(T)

template<typename T>
__host__ void cv::cudev::GpuMat_< T >::swap ( GpuMat_< T > &  mat)

swaps with other smart pointer

template<typename T>
__host__ int cv::cudev::GpuMat_< T >::type ( ) const
template<typename T>
__host__ void cv::cudev::GpuMat_< T >::upload ( InputArray  arr)

pefroms upload data to GpuMat (Blocking call)

template<typename T>
__host__ void cv::cudev::GpuMat_< T >::upload ( InputArray  arr,
Stream stream 
)

pefroms upload data to GpuMat (Non-Blocking call)


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