template class cv::cudev::GpuMat_
Overview
#include <gpumat.hpp> template <typename T> class GpuMat_: public cv::cuda::GpuMat { public: // typedefs typedef T value_type; // construction GpuMat_(Allocator* allocator = defaultAllocator()); GpuMat_( int arows, int acols, Allocator* allocator = defaultAllocator() ); GpuMat_( Size asize, Allocator* allocator = defaultAllocator() ); GpuMat_( int arows, int acols, Scalar val, Allocator* allocator = defaultAllocator() ); GpuMat_( Size asize, Scalar val, Allocator* allocator = defaultAllocator() ); GpuMat_(const GpuMat_& m); GpuMat_( const GpuMat& m, Allocator* allocator = defaultAllocator() ); GpuMat_( int arows, int acols, T* adata, size_t astep = Mat::AUTO_STEP ); GpuMat_( Size asize, T* adata, size_t astep = Mat::AUTO_STEP ); GpuMat_( const GpuMat_& m, Range arowRange, Range acolRange ); GpuMat_( const GpuMat_& m, Rect roi ); GpuMat_( InputArray arr, Allocator* allocator = defaultAllocator() ); template <class Body> GpuMat_(const Expr<Body>& expr); // methods __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; __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 ); __host__ void create(Size asize); __host__ int depth() const; __host__ size_t elemSize() const; __host__ size_t elemSize1() const; __host__ operator GlobPtr< T >() const; __host__ operator GlobPtrSz< T >() const; __host__ GpuMat_ operator()( Range rowRange, Range colRange ) const; __host__ GpuMat_ operator()(Rect roi) const; __host__ GpuMat_& operator=(const GpuMat_& m); template <class Body> __host__ GpuMat_& operator=(const Expr<Body>& expr); __host__ T* operator[](int y); __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; __host__ void swap(GpuMat_& mat); __host__ int type() const; __host__ void upload(InputArray arr); __host__ void upload( InputArray arr, Stream& stream ); };
Inherited Members
public: // classes class Allocator; // fields Allocator* allocator; int cols; uchar* data; const uchar* dataend; uchar* datastart; int flags; int* refcount; int rows; size_t step; // methods static Allocator* defaultAllocator(); static void setDefaultAllocator(Allocator* allocator); GpuMat& adjustROI( int dtop, int dbottom, int dleft, int dright ); void assignTo( GpuMat& m, int type = -1 ) const; int channels() const; GpuMat clone() const; GpuMat col(int x) const; GpuMat colRange( int startcol, int endcol ) const; GpuMat colRange(Range r) const; void convertTo( OutputArray dst, int rtype ) const; void convertTo( OutputArray dst, int rtype, Stream& stream ) const; void convertTo( OutputArray dst, int rtype, double alpha, double beta = 0.0 ) const; void convertTo( OutputArray dst, int rtype, double alpha, Stream& stream ) const; void convertTo( OutputArray dst, int rtype, double alpha, double beta, Stream& stream ) const; void copyTo(OutputArray dst) const; void copyTo( OutputArray dst, Stream& stream ) const; void copyTo( OutputArray dst, InputArray mask ) const; void copyTo( OutputArray dst, InputArray mask, Stream& stream ) const; void create( int rows, int cols, int type ); void create( Size size, int type ); int depth() const; void download(OutputArray dst) const; void download( OutputArray dst, Stream& stream ) const; size_t elemSize() const; size_t elemSize1() const; bool empty() const; bool isContinuous() const; void locateROI( Size& wholeSize, Point& ofs ) const; template <typename _Tp> operator PtrStep< _Tp >() const; template <typename _Tp> operator PtrStepSz< _Tp >() const; GpuMat operator()( Range rowRange, Range colRange ) const; GpuMat operator()(Rect roi) const; GpuMat& operator=(const GpuMat& m); uchar* ptr(int y = 0); const uchar* ptr(int y = 0) const; template <typename _Tp> _Tp* ptr(int y = 0); template <typename _Tp> const _Tp* ptr(int y = 0) const; void release(); GpuMat reshape( int cn, int rows = 0 ) const; GpuMat row(int y) const; GpuMat rowRange( int startrow, int endrow ) const; GpuMat rowRange(Range r) const; GpuMat& setTo(Scalar s); GpuMat& setTo( Scalar s, Stream& stream ); GpuMat& setTo( Scalar s, InputArray mask ); GpuMat& setTo( Scalar s, InputArray mask, Stream& stream ); Size size() const; size_t step1() const; void swap(GpuMat& mat); int type() const; void upload(InputArray arr); void upload( InputArray arr, Stream& stream );
Detailed Documentation
Construction
GpuMat_(Allocator* allocator = defaultAllocator())
default constructor
GpuMat_( int arows, int acols, Allocator* allocator = defaultAllocator() )
constructs GpuMat of the specified size
GpuMat_( int arows, int acols, Scalar val, Allocator* allocator = defaultAllocator() )
constucts GpuMat and fills it with the specified value
GpuMat_(const GpuMat_& m)
copy constructor
GpuMat_( const GpuMat& m, Allocator* allocator = defaultAllocator() )
copy/conversion contructor. If m is of different type, it’s converted
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
GpuMat_( const GpuMat_& m, Range arowRange, Range acolRange )
selects a submatrix
GpuMat_( InputArray arr, Allocator* allocator = defaultAllocator() )
builds GpuMat from host memory (Blocking call)
template <class Body> GpuMat_(const Expr<Body>& expr)
expression templates
Methods
__host__ GpuMat_ clone() const
overridden forms of GpuMat::row() etc.
__host__ void create( int arows, int acols )
allocates new GpuMat data unless the GpuMat already has specified size and type
__host__ size_t elemSize() const
overridden forms of GpuMat::elemSize() etc.
__host__ operator GlobPtrSz< T >() const
convert to GlobPtr
__host__ GpuMat_& operator=(const GpuMat_& m)
assignment operators
__host__ T* operator[](int y)
more convenient forms of row and element access operators
__host__ size_t stepT() const
returns step() /sizeof(T)
__host__ void swap(GpuMat_& mat)
swaps with other smart pointer
__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)