This type is very similar to InputArray except that it is used for input/output and output function parameters. [詳解]
#include <mat.hpp>
cv::_InputArrayを継承しています。
cv::_InputOutputArrayに継承されています。
公開型 | |
| enum | DepthMask { DEPTH_MASK_8U = 1 << CV_8U , DEPTH_MASK_8S = 1 << CV_8S , DEPTH_MASK_16U = 1 << CV_16U , DEPTH_MASK_16S = 1 << CV_16S , DEPTH_MASK_32S = 1 << CV_32S , DEPTH_MASK_32F = 1 << CV_32F , DEPTH_MASK_64F = 1 << CV_64F , DEPTH_MASK_16F = 1 << CV_16F , DEPTH_MASK_ALL = (DEPTH_MASK_64F<<1)-1 , DEPTH_MASK_ALL_BUT_8S = DEPTH_MASK_ALL & ~DEPTH_MASK_8S , DEPTH_MASK_ALL_16F = (DEPTH_MASK_16F<<1)-1 , DEPTH_MASK_FLT = DEPTH_MASK_32F + DEPTH_MASK_64F } |
 基底クラス cv::_InputArray に属する継承公開型 | |
| enum | KindFlag { KIND_SHIFT = 16 , FIXED_TYPE = 0x8000 << KIND_SHIFT , FIXED_SIZE = 0x4000 << KIND_SHIFT , KIND_MASK = 31 << KIND_SHIFT , NONE = 0 << KIND_SHIFT , MAT = 1 << KIND_SHIFT , MATX = 2 << KIND_SHIFT , STD_VECTOR = 3 << KIND_SHIFT , STD_VECTOR_VECTOR = 4 << KIND_SHIFT , STD_VECTOR_MAT = 5 << KIND_SHIFT , EXPR = 6 << KIND_SHIFT , OPENGL_BUFFER = 7 << KIND_SHIFT , CUDA_HOST_MEM = 8 << KIND_SHIFT , CUDA_GPU_MAT = 9 << KIND_SHIFT , UMAT =10 << KIND_SHIFT , STD_VECTOR_UMAT =11 << KIND_SHIFT , STD_BOOL_VECTOR =12 << KIND_SHIFT , STD_VECTOR_CUDA_GPU_MAT = 13 << KIND_SHIFT , STD_ARRAY =14 << KIND_SHIFT , STD_ARRAY_MAT =15 << KIND_SHIFT } |
公開メンバ関数 | |
| _OutputArray (int _flags, void *_obj) | |
| _OutputArray (Mat &m) | |
| _OutputArray (std::vector< Mat > &vec) | |
| _OutputArray (cuda::GpuMat &d_mat) | |
| _OutputArray (std::vector< cuda::GpuMat > &d_mat) | |
| _OutputArray (ogl::Buffer &buf) | |
| _OutputArray (cuda::HostMem &cuda_mem) | |
| template<typename _Tp > | |
| _OutputArray (cudev::GpuMat_< _Tp > &m) | |
| template<typename _Tp > | |
| _OutputArray (std::vector< _Tp > &vec) | |
| _OutputArray (std::vector< bool > &vec)=delete | |
| template<typename _Tp > | |
| _OutputArray (std::vector< std::vector< _Tp > > &vec) | |
| _OutputArray (std::vector< std::vector< bool > > &)=delete | |
| template<typename _Tp > | |
| _OutputArray (std::vector< Mat_< _Tp > > &vec) | |
| template<typename _Tp > | |
| _OutputArray (Mat_< _Tp > &m) | |
| template<typename _Tp > | |
| _OutputArray (_Tp *vec, int n) | |
| template<typename _Tp , int m, int n> | |
| _OutputArray (Matx< _Tp, m, n > &matx) | |
| _OutputArray (UMat &m) | |
| _OutputArray (std::vector< UMat > &vec) | |
| _OutputArray (const Mat &m) | |
| _OutputArray (const std::vector< Mat > &vec) | |
| _OutputArray (const cuda::GpuMat &d_mat) | |
| _OutputArray (const std::vector< cuda::GpuMat > &d_mat) | |
| _OutputArray (const ogl::Buffer &buf) | |
| _OutputArray (const cuda::HostMem &cuda_mem) | |
| template<typename _Tp > | |
| _OutputArray (const cudev::GpuMat_< _Tp > &m) | |
| template<typename _Tp > | |
| _OutputArray (const std::vector< _Tp > &vec) | |
| template<typename _Tp > | |
| _OutputArray (const std::vector< std::vector< _Tp > > &vec) | |
| template<typename _Tp > | |
| _OutputArray (const std::vector< Mat_< _Tp > > &vec) | |
| template<typename _Tp > | |
| _OutputArray (const Mat_< _Tp > &m) | |
| template<typename _Tp > | |
| _OutputArray (const _Tp *vec, int n) | |
| template<typename _Tp , int m, int n> | |
| _OutputArray (const Matx< _Tp, m, n > &matx) | |
| _OutputArray (const UMat &m) | |
| _OutputArray (const std::vector< UMat > &vec) | |
| template<typename _Tp , std::size_t _Nm> | |
| _OutputArray (std::array< _Tp, _Nm > &arr) | |
| template<typename _Tp , std::size_t _Nm> | |
| _OutputArray (const std::array< _Tp, _Nm > &arr) | |
| template<std::size_t _Nm> | |
| _OutputArray (std::array< Mat, _Nm > &arr) | |
| template<std::size_t _Nm> | |
| _OutputArray (const std::array< Mat, _Nm > &arr) | |
| bool | fixedSize () const |
| bool | fixedType () const |
| bool | needed () const |
| Mat & | getMatRef (int i=-1) const |
| UMat & | getUMatRef (int i=-1) const |
| cuda::GpuMat & | getGpuMatRef () const |
| std::vector< cuda::GpuMat > & | getGpuMatVecRef () const |
| ogl::Buffer & | getOGlBufferRef () const |
| cuda::HostMem & | getHostMemRef () const |
| void | create (Size sz, int type, int i=-1, bool allowTransposed=false, _OutputArray::DepthMask fixedDepthMask=static_cast< _OutputArray::DepthMask >(0)) const |
| void | create (int rows, int cols, int type, int i=-1, bool allowTransposed=false, _OutputArray::DepthMask fixedDepthMask=static_cast< _OutputArray::DepthMask >(0)) const |
| void | create (int dims, const int *size, int type, int i=-1, bool allowTransposed=false, _OutputArray::DepthMask fixedDepthMask=static_cast< _OutputArray::DepthMask >(0)) const |
| void | createSameSize (const _InputArray &arr, int mtype) const |
| void | release () const |
| void | clear () const |
| void | setTo (const _InputArray &value, const _InputArray &mask=_InputArray()) const |
| void | assign (const UMat &u) const |
| void | assign (const Mat &m) const |
| void | assign (const std::vector< UMat > &v) const |
| void | assign (const std::vector< Mat > &v) const |
| void | move (UMat &u) const |
| void | move (Mat &m) const |
| 基底クラス cv::_InputArray に属する継承公開メンバ関数 | |
| _InputArray (int _flags, void *_obj) | |
| _InputArray (const Mat &m) | |
| _InputArray (const MatExpr &expr) | |
| _InputArray (const std::vector< Mat > &vec) | |
| template<typename _Tp > | |
| _InputArray (const Mat_< _Tp > &m) | |
| template<typename _Tp > | |
| _InputArray (const std::vector< _Tp > &vec) | |
| _InputArray (const std::vector< bool > &vec) | |
| template<typename _Tp > | |
| _InputArray (const std::vector< std::vector< _Tp > > &vec) | |
| _InputArray (const std::vector< std::vector< bool > > &)=delete | |
| template<typename _Tp > | |
| _InputArray (const std::vector< Mat_< _Tp > > &vec) | |
| template<typename _Tp > | |
| _InputArray (const _Tp *vec, int n) | |
| template<typename _Tp , int m, int n> | |
| _InputArray (const Matx< _Tp, m, n > &matx) | |
| _InputArray (const double &val) | |
| _InputArray (const cuda::GpuMat &d_mat) | |
| _InputArray (const std::vector< cuda::GpuMat > &d_mat_array) | |
| _InputArray (const ogl::Buffer &buf) | |
| _InputArray (const cuda::HostMem &cuda_mem) | |
| template<typename _Tp > | |
| _InputArray (const cudev::GpuMat_< _Tp > &m) | |
| _InputArray (const UMat &um) | |
| _InputArray (const std::vector< UMat > &umv) | |
| template<typename _Tp , std::size_t _Nm> | |
| _InputArray (const std::array< _Tp, _Nm > &arr) | |
| template<std::size_t _Nm> | |
| _InputArray (const std::array< Mat, _Nm > &arr) | |
| Mat | getMat (int idx=-1) const |
| Mat | getMat_ (int idx=-1) const |
| UMat | getUMat (int idx=-1) const |
| void | getMatVector (std::vector< Mat > &mv) const |
| void | getUMatVector (std::vector< UMat > &umv) const |
| void | getGpuMatVector (std::vector< cuda::GpuMat > &gpumv) const |
| cuda::GpuMat | getGpuMat () const |
| ogl::Buffer | getOGlBuffer () const |
| int | getFlags () const |
| void * | getObj () const |
| Size | getSz () const |
| _InputArray::KindFlag | kind () const |
| int | dims (int i=-1) const |
| int | cols (int i=-1) const |
| int | rows (int i=-1) const |
| Size | size (int i=-1) const |
| int | sizend (int *sz, int i=-1) const |
| bool | sameSize (const _InputArray &arr) const |
| size_t | total (int i=-1) const |
| int | type (int i=-1) const |
| int | depth (int i=-1) const |
| int | channels (int i=-1) const |
| bool | isContinuous (int i=-1) const |
| bool | isSubmatrix (int i=-1) const |
| bool | empty () const |
| void | copyTo (const _OutputArray &arr) const |
| void | copyTo (const _OutputArray &arr, const _InputArray &mask) const |
| size_t | offset (int i=-1) const |
| size_t | step (int i=-1) const |
| bool | isMat () const |
| bool | isUMat () const |
| bool | isMatVector () const |
| bool | isUMatVector () const |
| bool | isMatx () const |
| bool | isVector () const |
| bool | isGpuMat () const |
| bool | isGpuMatVector () const |
静的公開メンバ関数 | |
| template<typename _Tp > | |
| static _OutputArray | rawOut (std::vector< _Tp > &vec) |
| template<typename _Tp , std::size_t _Nm> | |
| static _OutputArray | rawOut (std::array< _Tp, _Nm > &arr) |
| 基底クラス cv::_InputArray に属する継承静的公開メンバ関数 | |
| template<typename _Tp > | |
| static _InputArray | rawIn (const std::vector< _Tp > &vec) |
| template<typename _Tp , std::size_t _Nm> | |
| static _InputArray | rawIn (const std::array< _Tp, _Nm > &arr) |
その他の継承メンバ | |
| 基底クラス cv::_InputArray に属する継承限定公開メンバ関数 | |
| void | init (int _flags, const void *_obj) |
| void | init (int _flags, const void *_obj, Size _sz) |
| 基底クラス cv::_InputArray に属する継承限定公開変数類 | |
| int | flags |
| void * | obj |
| Size | sz |
詳解
This type is very similar to InputArray except that it is used for input/output and output function parameters.
Just like with InputArray, OpenCV users should not care about OutputArray, they just pass Mat, vector<T> etc. to the functions. The same limitation as for InputArray: Do not explicitly create OutputArray instances applies here too.
If you want to make your function polymorphic (i.e. accept different arrays as output parameters), it is also not very difficult. Take the sample above as the reference. Note that _OutputArray::create() needs to be called before _OutputArray::getMat(). This way you guarantee that the output array is properly allocated.
Optional output parameters. If you do not need certain output array to be computed and returned to you, pass cv::noArray(), just like you would in the case of optional input array. At the implementation level, use _OutputArray::needed() to check if certain output array needs to be computed or not.
There are several synonyms for OutputArray that are used to assist automatic Python/Java/... wrapper generators:
typedef OutputArray OutputArrayOfArrays;
typedef OutputArray InputOutputArray;
typedef OutputArray InputOutputArrayOfArrays;
このクラス詳解は次のファイルから抽出されました:
