This type is very similar to InputArray except that it is used for input/output and output function parameters.
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enum | {
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
} |
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enum | {
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_ALL = (DEPTH_MASK_64F<<1)-1,
DEPTH_MASK_ALL_BUT_8S = DEPTH_MASK_ALL & ~DEPTH_MASK_8S,
DEPTH_MASK_FLT = DEPTH_MASK_32F + DEPTH_MASK_64F
} |
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| _OutputArray () |
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| _OutputArray (int _flags, void *_obj) |
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| _OutputArray (Mat &m) |
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| _OutputArray (std::vector< Mat > &vec) |
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| _OutputArray (cuda::GpuMat &d_mat) |
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| _OutputArray (std::vector< cuda::GpuMat > &d_mat) |
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| _OutputArray (ogl::Buffer &buf) |
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| _OutputArray (cuda::HostMem &cuda_mem) |
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template<typename _Tp > |
| _OutputArray (cudev::GpuMat_< _Tp > &m) |
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template<typename _Tp > |
| _OutputArray (std::vector< _Tp > &vec) |
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| _OutputArray (std::vector< bool > &vec) |
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template<typename _Tp > |
| _OutputArray (std::vector< std::vector< _Tp > > &vec) |
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template<typename _Tp > |
| _OutputArray (std::vector< Mat_< _Tp > > &vec) |
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template<typename _Tp > |
| _OutputArray (Mat_< _Tp > &m) |
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template<typename _Tp > |
| _OutputArray (_Tp *vec, int n) |
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template<typename _Tp , int m, int n> |
| _OutputArray (Matx< _Tp, m, n > &matx) |
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| _OutputArray (UMat &m) |
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| _OutputArray (std::vector< UMat > &vec) |
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| _OutputArray (const Mat &m) |
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| _OutputArray (const std::vector< Mat > &vec) |
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| _OutputArray (const cuda::GpuMat &d_mat) |
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| _OutputArray (const std::vector< cuda::GpuMat > &d_mat) |
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| _OutputArray (const ogl::Buffer &buf) |
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| _OutputArray (const cuda::HostMem &cuda_mem) |
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template<typename _Tp > |
| _OutputArray (const cudev::GpuMat_< _Tp > &m) |
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template<typename _Tp > |
| _OutputArray (const std::vector< _Tp > &vec) |
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template<typename _Tp > |
| _OutputArray (const std::vector< std::vector< _Tp > > &vec) |
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template<typename _Tp > |
| _OutputArray (const std::vector< Mat_< _Tp > > &vec) |
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template<typename _Tp > |
| _OutputArray (const Mat_< _Tp > &m) |
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template<typename _Tp > |
| _OutputArray (const _Tp *vec, int n) |
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template<typename _Tp , int m, int n> |
| _OutputArray (const Matx< _Tp, m, n > &matx) |
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| _OutputArray (const UMat &m) |
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| _OutputArray (const std::vector< UMat > &vec) |
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void | assign (const UMat &u) const |
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void | assign (const Mat &m) const |
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int | channels (int i=-1) const |
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void | clear () const |
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int | cols (int i=-1) const |
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void | copyTo (const _OutputArray &arr) const |
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void | copyTo (const _OutputArray &arr, const _InputArray &mask) const |
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void | create (Size sz, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const |
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void | create (int rows, int cols, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const |
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void | create (int dims, const int *size, int type, int i=-1, bool allowTransposed=false, int fixedDepthMask=0) const |
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void | createSameSize (const _InputArray &arr, int mtype) const |
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int | depth (int i=-1) const |
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int | dims (int i=-1) const |
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bool | empty () const |
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bool | fixedSize () const |
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bool | fixedType () const |
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int | getFlags () const |
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cuda::GpuMat | getGpuMat () const |
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cuda::GpuMat & | getGpuMatRef () const |
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std::vector< cuda::GpuMat > & | getGpuMatVecRef () const |
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void | getGpuMatVector (std::vector< cuda::GpuMat > &gpumv) const |
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cuda::HostMem & | getHostMemRef () const |
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Mat | getMat (int idx=-1) const |
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Mat | getMat_ (int idx=-1) const |
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Mat & | getMatRef (int i=-1) const |
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void | getMatVector (std::vector< Mat > &mv) const |
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void * | getObj () const |
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ogl::Buffer | getOGlBuffer () const |
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ogl::Buffer & | getOGlBufferRef () const |
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Size | getSz () const |
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UMat | getUMat (int idx=-1) const |
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UMat & | getUMatRef (int i=-1) const |
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void | getUMatVector (std::vector< UMat > &umv) const |
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bool | isContinuous (int i=-1) const |
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bool | isGpuMatVector () const |
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bool | isMat () const |
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bool | isMatVector () const |
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bool | isMatx () const |
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bool | isSubmatrix (int i=-1) const |
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bool | isUMat () const |
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bool | isUMatVector () const |
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bool | isVector () const |
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int | kind () const |
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bool | needed () const |
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size_t | offset (int i=-1) const |
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void | release () const |
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int | rows (int i=-1) const |
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bool | sameSize (const _InputArray &arr) const |
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void | setTo (const _InputArray &value, const _InputArray &mask=_InputArray()) const |
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Size | size (int i=-1) const |
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int | sizend (int *sz, int i=-1) const |
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size_t | step (int i=-1) const |
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size_t | total (int i=-1) const |
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int | type (int i=-1) const |
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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: