opencv異常提示之 (channels() == CV_MAT_CN(dtype)) in copyTo (暫未解決,提供原始碼)
阿新 • • 發佈：2019-02-06
class CV_EXPORTS _InputArray
{
public:
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
};
_InputArray();
_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);
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);
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;
int 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 isGpuMatVector() const;
~_InputArray();
protected:
int flags;
void* obj;
Size sz;
void init(int _flags, const void* _obj);
void init(int _flags, const void* _obj, Size _sz);
};
{
public:
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
};
_InputArray();
_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);
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);
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;
int 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 isGpuMatVector() const;
~_InputArray();
protected:
int flags;
void* obj;
Size sz;
void init(int _flags, const void* _obj);
void init(int _flags, const void* _obj, Size _sz);
};