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mat.inl.hpp
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mat.inl.hpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Copyright (C) 2013, OpenCV Foundation, all rights reserved.
// Copyright (C) 2015, Itseez Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
//
// * The name of the copyright holders may not be used to endorse or promote products
// derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#ifndef OPENCV_CORE_MATRIX_OPERATIONS_HPP
#define OPENCV_CORE_MATRIX_OPERATIONS_HPP
#ifndef __cplusplus
# error mat.inl.hpp header must be compiled as C++
#endif
#ifdef _MSC_VER
#pragma warning( push )
#pragma warning( disable: 4127 )
#endif
#if defined(CV_SKIP_DISABLE_CLANG_ENUM_WARNINGS)
// nothing
#elif defined(CV_FORCE_DISABLE_CLANG_ENUM_WARNINGS)
#define CV_DISABLE_CLANG_ENUM_WARNINGS
#elif defined(__clang__) && defined(__has_warning)
#if __has_warning("-Wdeprecated-enum-enum-conversion") && __has_warning("-Wdeprecated-anon-enum-enum-conversion")
#define CV_DISABLE_CLANG_ENUM_WARNINGS
#endif
#endif
#ifdef CV_DISABLE_CLANG_ENUM_WARNINGS
#pragma clang diagnostic push
#pragma clang diagnostic ignored "-Wdeprecated-enum-enum-conversion"
#pragma clang diagnostic ignored "-Wdeprecated-anon-enum-enum-conversion"
#endif
namespace cv
{
CV__DEBUG_NS_BEGIN
//! @cond IGNORED
////////////////////////// Custom (raw) type wrapper //////////////////////////
template<typename _Tp> static inline
int rawType()
{
CV_StaticAssert(sizeof(_Tp) <= CV_CN_MAX, "sizeof(_Tp) is too large");
const int elemSize = sizeof(_Tp);
return (int)CV_MAKETYPE(CV_8U, elemSize);
}
//////////////////////// Input/Output Arrays ////////////////////////
inline void _InputArray::init(int _flags, const void* _obj)
{ flags = _flags; obj = (void*)_obj; }
inline void _InputArray::init(int _flags, const void* _obj, Size _sz)
{ flags = _flags; obj = (void*)_obj; sz = _sz; }
inline void* _InputArray::getObj() const { return obj; }
inline int _InputArray::getFlags() const { return flags; }
inline Size _InputArray::getSz() const { return sz; }
inline _InputArray::_InputArray() { init(0 + NONE, 0); }
inline _InputArray::_InputArray(int _flags, void* _obj) { init(_flags, _obj); }
inline _InputArray::_InputArray(const Mat& m) { init(MAT+ACCESS_READ, &m); }
inline _InputArray::_InputArray(const std::vector<Mat>& vec) { init(STD_VECTOR_MAT+ACCESS_READ, &vec); }
inline _InputArray::_InputArray(const UMat& m) { init(UMAT+ACCESS_READ, &m); }
inline _InputArray::_InputArray(const std::vector<UMat>& vec) { init(STD_VECTOR_UMAT+ACCESS_READ, &vec); }
template<typename _Tp> inline
_InputArray::_InputArray(const std::vector<_Tp>& vec)
{ init(FIXED_TYPE + STD_VECTOR + traits::Type<_Tp>::value + ACCESS_READ, &vec); }
template<typename _Tp, std::size_t _Nm> inline
_InputArray::_InputArray(const std::array<_Tp, _Nm>& arr)
{ init(FIXED_TYPE + FIXED_SIZE + STD_ARRAY + traits::Type<_Tp>::value + ACCESS_READ, arr.data(), Size(1, _Nm)); }
template<std::size_t _Nm> inline
_InputArray::_InputArray(const std::array<Mat, _Nm>& arr)
{ init(STD_ARRAY_MAT + ACCESS_READ, arr.data(), Size(1, _Nm)); }
inline
_InputArray::_InputArray(const std::vector<bool>& vec)
{ init(FIXED_TYPE + STD_BOOL_VECTOR + traits::Type<bool>::value + ACCESS_READ, &vec); }
template<typename _Tp> inline
_InputArray::_InputArray(const std::vector<std::vector<_Tp> >& vec)
{ init(FIXED_TYPE + STD_VECTOR_VECTOR + traits::Type<_Tp>::value + ACCESS_READ, &vec); }
template<typename _Tp> inline
_InputArray::_InputArray(const std::vector<Mat_<_Tp> >& vec)
{ init(FIXED_TYPE + STD_VECTOR_MAT + traits::Type<_Tp>::value + ACCESS_READ, &vec); }
template<typename _Tp, int m, int n> inline
_InputArray::_InputArray(const Matx<_Tp, m, n>& mtx)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + traits::Type<_Tp>::value + ACCESS_READ, &mtx, Size(n, m)); }
template<typename _Tp> inline
_InputArray::_InputArray(const _Tp* vec, int n)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + traits::Type<_Tp>::value + ACCESS_READ, vec, Size(n, 1)); }
template<typename _Tp> inline
_InputArray::_InputArray(const Mat_<_Tp>& m)
{ init(FIXED_TYPE + MAT + traits::Type<_Tp>::value + ACCESS_READ, &m); }
inline _InputArray::_InputArray(const double& val)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + CV_64F + ACCESS_READ, &val, Size(1,1)); }
inline _InputArray::_InputArray(const cuda::GpuMat& d_mat)
{ init(CUDA_GPU_MAT + ACCESS_READ, &d_mat); }
inline _InputArray::_InputArray(const std::vector<cuda::GpuMat>& d_mat)
{ init(STD_VECTOR_CUDA_GPU_MAT + ACCESS_READ, &d_mat);}
inline _InputArray::_InputArray(const ogl::Buffer& buf)
{ init(OPENGL_BUFFER + ACCESS_READ, &buf); }
inline _InputArray::_InputArray(const cuda::HostMem& cuda_mem)
{ init(CUDA_HOST_MEM + ACCESS_READ, &cuda_mem); }
template<typename _Tp> inline
_InputArray _InputArray::rawIn(const std::vector<_Tp>& vec)
{
_InputArray v;
v.flags = _InputArray::FIXED_TYPE + _InputArray::STD_VECTOR + rawType<_Tp>() + ACCESS_READ;
v.obj = (void*)&vec;
return v;
}
template<typename _Tp, std::size_t _Nm> inline
_InputArray _InputArray::rawIn(const std::array<_Tp, _Nm>& arr)
{
_InputArray v;
v.flags = FIXED_TYPE + FIXED_SIZE + STD_ARRAY + traits::Type<_Tp>::value + ACCESS_READ;
v.obj = (void*)arr.data();
v.sz = Size(1, _Nm);
return v;
}
inline _InputArray::~_InputArray() {}
inline Mat _InputArray::getMat(int i) const
{
if( kind() == MAT && i < 0 )
return *(const Mat*)obj;
return getMat_(i);
}
inline bool _InputArray::isMat() const { return kind() == _InputArray::MAT; }
inline bool _InputArray::isUMat() const { return kind() == _InputArray::UMAT; }
inline bool _InputArray::isMatVector() const { return kind() == _InputArray::STD_VECTOR_MAT; }
inline bool _InputArray::isUMatVector() const { return kind() == _InputArray::STD_VECTOR_UMAT; }
inline bool _InputArray::isMatx() const { return kind() == _InputArray::MATX; }
inline bool _InputArray::isVector() const { return kind() == _InputArray::STD_VECTOR ||
kind() == _InputArray::STD_BOOL_VECTOR ||
kind() == _InputArray::STD_ARRAY; }
inline bool _InputArray::isGpuMat() const { return kind() == _InputArray::CUDA_GPU_MAT; }
inline bool _InputArray::isGpuMatVector() const { return kind() == _InputArray::STD_VECTOR_CUDA_GPU_MAT; }
////////////////////////////////////////////////////////////////////////////////////////
inline _OutputArray::_OutputArray() { init(NONE + ACCESS_WRITE, 0); }
inline _OutputArray::_OutputArray(int _flags, void* _obj) { init(_flags + ACCESS_WRITE, _obj); }
inline _OutputArray::_OutputArray(Mat& m) { init(MAT+ACCESS_WRITE, &m); }
inline _OutputArray::_OutputArray(std::vector<Mat>& vec) { init(STD_VECTOR_MAT + ACCESS_WRITE, &vec); }
inline _OutputArray::_OutputArray(UMat& m) { init(UMAT + ACCESS_WRITE, &m); }
inline _OutputArray::_OutputArray(std::vector<UMat>& vec) { init(STD_VECTOR_UMAT + ACCESS_WRITE, &vec); }
template<typename _Tp> inline
_OutputArray::_OutputArray(std::vector<_Tp>& vec)
{ init(FIXED_TYPE + STD_VECTOR + traits::Type<_Tp>::value + ACCESS_WRITE, &vec); }
template<typename _Tp, std::size_t _Nm> inline
_OutputArray::_OutputArray(std::array<_Tp, _Nm>& arr)
{ init(FIXED_TYPE + FIXED_SIZE + STD_ARRAY + traits::Type<_Tp>::value + ACCESS_WRITE, arr.data(), Size(1, _Nm)); }
template<std::size_t _Nm> inline
_OutputArray::_OutputArray(std::array<Mat, _Nm>& arr)
{ init(STD_ARRAY_MAT + ACCESS_WRITE, arr.data(), Size(1, _Nm)); }
template<typename _Tp> inline
_OutputArray::_OutputArray(std::vector<std::vector<_Tp> >& vec)
{ init(FIXED_TYPE + STD_VECTOR_VECTOR + traits::Type<_Tp>::value + ACCESS_WRITE, &vec); }
template<typename _Tp> inline
_OutputArray::_OutputArray(std::vector<Mat_<_Tp> >& vec)
{ init(FIXED_TYPE + STD_VECTOR_MAT + traits::Type<_Tp>::value + ACCESS_WRITE, &vec); }
template<typename _Tp> inline
_OutputArray::_OutputArray(Mat_<_Tp>& m)
{ init(FIXED_TYPE + MAT + traits::Type<_Tp>::value + ACCESS_WRITE, &m); }
template<typename _Tp, int m, int n> inline
_OutputArray::_OutputArray(Matx<_Tp, m, n>& mtx)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + traits::Type<_Tp>::value + ACCESS_WRITE, &mtx, Size(n, m)); }
template<typename _Tp> inline
_OutputArray::_OutputArray(_Tp* vec, int n)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + traits::Type<_Tp>::value + ACCESS_WRITE, vec, Size(n, 1)); }
template<typename _Tp> inline
_OutputArray::_OutputArray(const std::vector<_Tp>& vec)
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR + traits::Type<_Tp>::value + ACCESS_WRITE, &vec); }
template<typename _Tp, std::size_t _Nm> inline
_OutputArray::_OutputArray(const std::array<_Tp, _Nm>& arr)
{ init(FIXED_TYPE + FIXED_SIZE + STD_ARRAY + traits::Type<_Tp>::value + ACCESS_WRITE, arr.data(), Size(1, _Nm)); }
template<std::size_t _Nm> inline
_OutputArray::_OutputArray(const std::array<Mat, _Nm>& arr)
{ init(FIXED_SIZE + STD_ARRAY_MAT + ACCESS_WRITE, arr.data(), Size(1, _Nm)); }
template<typename _Tp> inline
_OutputArray::_OutputArray(const std::vector<std::vector<_Tp> >& vec)
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR_VECTOR + traits::Type<_Tp>::value + ACCESS_WRITE, &vec); }
template<typename _Tp> inline
_OutputArray::_OutputArray(const std::vector<Mat_<_Tp> >& vec)
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR_MAT + traits::Type<_Tp>::value + ACCESS_WRITE, &vec); }
template<typename _Tp> inline
_OutputArray::_OutputArray(const Mat_<_Tp>& m)
{ init(FIXED_TYPE + FIXED_SIZE + MAT + traits::Type<_Tp>::value + ACCESS_WRITE, &m); }
template<typename _Tp, int m, int n> inline
_OutputArray::_OutputArray(const Matx<_Tp, m, n>& mtx)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + traits::Type<_Tp>::value + ACCESS_WRITE, &mtx, Size(n, m)); }
template<typename _Tp> inline
_OutputArray::_OutputArray(const _Tp* vec, int n)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + traits::Type<_Tp>::value + ACCESS_WRITE, vec, Size(n, 1)); }
inline _OutputArray::_OutputArray(cuda::GpuMat& d_mat)
{ init(CUDA_GPU_MAT + ACCESS_WRITE, &d_mat); }
inline _OutputArray::_OutputArray(std::vector<cuda::GpuMat>& d_mat)
{ init(STD_VECTOR_CUDA_GPU_MAT + ACCESS_WRITE, &d_mat);}
inline _OutputArray::_OutputArray(ogl::Buffer& buf)
{ init(OPENGL_BUFFER + ACCESS_WRITE, &buf); }
inline _OutputArray::_OutputArray(cuda::HostMem& cuda_mem)
{ init(CUDA_HOST_MEM + ACCESS_WRITE, &cuda_mem); }
inline _OutputArray::_OutputArray(const Mat& m)
{ init(FIXED_TYPE + FIXED_SIZE + MAT + ACCESS_WRITE, &m); }
inline _OutputArray::_OutputArray(const std::vector<Mat>& vec)
{ init(FIXED_SIZE + STD_VECTOR_MAT + ACCESS_WRITE, &vec); }
inline _OutputArray::_OutputArray(const UMat& m)
{ init(FIXED_TYPE + FIXED_SIZE + UMAT + ACCESS_WRITE, &m); }
inline _OutputArray::_OutputArray(const std::vector<UMat>& vec)
{ init(FIXED_SIZE + STD_VECTOR_UMAT + ACCESS_WRITE, &vec); }
inline _OutputArray::_OutputArray(const cuda::GpuMat& d_mat)
{ init(FIXED_TYPE + FIXED_SIZE + CUDA_GPU_MAT + ACCESS_WRITE, &d_mat); }
inline _OutputArray::_OutputArray(const ogl::Buffer& buf)
{ init(FIXED_TYPE + FIXED_SIZE + OPENGL_BUFFER + ACCESS_WRITE, &buf); }
inline _OutputArray::_OutputArray(const cuda::HostMem& cuda_mem)
{ init(FIXED_TYPE + FIXED_SIZE + CUDA_HOST_MEM + ACCESS_WRITE, &cuda_mem); }
template<typename _Tp> inline
_OutputArray _OutputArray::rawOut(std::vector<_Tp>& vec)
{
_OutputArray v;
v.flags = _InputArray::FIXED_TYPE + _InputArray::STD_VECTOR + rawType<_Tp>() + ACCESS_WRITE;
v.obj = (void*)&vec;
return v;
}
template<typename _Tp, std::size_t _Nm> inline
_OutputArray _OutputArray::rawOut(std::array<_Tp, _Nm>& arr)
{
_OutputArray v;
v.flags = FIXED_TYPE + FIXED_SIZE + STD_ARRAY + traits::Type<_Tp>::value + ACCESS_WRITE;
v.obj = (void*)arr.data();
v.sz = Size(1, _Nm);
return v;
}
///////////////////////////////////////////////////////////////////////////////////////////
inline _InputOutputArray::_InputOutputArray() { init(0+ACCESS_RW, 0); }
inline _InputOutputArray::_InputOutputArray(int _flags, void* _obj) { init(_flags+ACCESS_RW, _obj); }
inline _InputOutputArray::_InputOutputArray(Mat& m) { init(MAT+ACCESS_RW, &m); }
inline _InputOutputArray::_InputOutputArray(std::vector<Mat>& vec) { init(STD_VECTOR_MAT+ACCESS_RW, &vec); }
inline _InputOutputArray::_InputOutputArray(UMat& m) { init(UMAT+ACCESS_RW, &m); }
inline _InputOutputArray::_InputOutputArray(std::vector<UMat>& vec) { init(STD_VECTOR_UMAT+ACCESS_RW, &vec); }
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(std::vector<_Tp>& vec)
{ init(FIXED_TYPE + STD_VECTOR + traits::Type<_Tp>::value + ACCESS_RW, &vec); }
template<typename _Tp, std::size_t _Nm> inline
_InputOutputArray::_InputOutputArray(std::array<_Tp, _Nm>& arr)
{ init(FIXED_TYPE + FIXED_SIZE + STD_ARRAY + traits::Type<_Tp>::value + ACCESS_RW, arr.data(), Size(1, _Nm)); }
template<std::size_t _Nm> inline
_InputOutputArray::_InputOutputArray(std::array<Mat, _Nm>& arr)
{ init(STD_ARRAY_MAT + ACCESS_RW, arr.data(), Size(1, _Nm)); }
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(std::vector<std::vector<_Tp> >& vec)
{ init(FIXED_TYPE + STD_VECTOR_VECTOR + traits::Type<_Tp>::value + ACCESS_RW, &vec); }
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(std::vector<Mat_<_Tp> >& vec)
{ init(FIXED_TYPE + STD_VECTOR_MAT + traits::Type<_Tp>::value + ACCESS_RW, &vec); }
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(Mat_<_Tp>& m)
{ init(FIXED_TYPE + MAT + traits::Type<_Tp>::value + ACCESS_RW, &m); }
template<typename _Tp, int m, int n> inline
_InputOutputArray::_InputOutputArray(Matx<_Tp, m, n>& mtx)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + traits::Type<_Tp>::value + ACCESS_RW, &mtx, Size(n, m)); }
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(_Tp* vec, int n)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + traits::Type<_Tp>::value + ACCESS_RW, vec, Size(n, 1)); }
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(const std::vector<_Tp>& vec)
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR + traits::Type<_Tp>::value + ACCESS_RW, &vec); }
template<typename _Tp, std::size_t _Nm> inline
_InputOutputArray::_InputOutputArray(const std::array<_Tp, _Nm>& arr)
{ init(FIXED_TYPE + FIXED_SIZE + STD_ARRAY + traits::Type<_Tp>::value + ACCESS_RW, arr.data(), Size(1, _Nm)); }
template<std::size_t _Nm> inline
_InputOutputArray::_InputOutputArray(const std::array<Mat, _Nm>& arr)
{ init(FIXED_SIZE + STD_ARRAY_MAT + ACCESS_RW, arr.data(), Size(1, _Nm)); }
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(const std::vector<std::vector<_Tp> >& vec)
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR_VECTOR + traits::Type<_Tp>::value + ACCESS_RW, &vec); }
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(const std::vector<Mat_<_Tp> >& vec)
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR_MAT + traits::Type<_Tp>::value + ACCESS_RW, &vec); }
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(const Mat_<_Tp>& m)
{ init(FIXED_TYPE + FIXED_SIZE + MAT + traits::Type<_Tp>::value + ACCESS_RW, &m); }
template<typename _Tp, int m, int n> inline
_InputOutputArray::_InputOutputArray(const Matx<_Tp, m, n>& mtx)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + traits::Type<_Tp>::value + ACCESS_RW, &mtx, Size(n, m)); }
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(const _Tp* vec, int n)
{ init(FIXED_TYPE + FIXED_SIZE + MATX + traits::Type<_Tp>::value + ACCESS_RW, vec, Size(n, 1)); }
inline _InputOutputArray::_InputOutputArray(cuda::GpuMat& d_mat)
{ init(CUDA_GPU_MAT + ACCESS_RW, &d_mat); }
inline _InputOutputArray::_InputOutputArray(ogl::Buffer& buf)
{ init(OPENGL_BUFFER + ACCESS_RW, &buf); }
inline _InputOutputArray::_InputOutputArray(cuda::HostMem& cuda_mem)
{ init(CUDA_HOST_MEM + ACCESS_RW, &cuda_mem); }
inline _InputOutputArray::_InputOutputArray(const Mat& m)
{ init(FIXED_TYPE + FIXED_SIZE + MAT + ACCESS_RW, &m); }
inline _InputOutputArray::_InputOutputArray(const std::vector<Mat>& vec)
{ init(FIXED_SIZE + STD_VECTOR_MAT + ACCESS_RW, &vec); }
inline _InputOutputArray::_InputOutputArray(const UMat& m)
{ init(FIXED_TYPE + FIXED_SIZE + UMAT + ACCESS_RW, &m); }
inline _InputOutputArray::_InputOutputArray(const std::vector<UMat>& vec)
{ init(FIXED_SIZE + STD_VECTOR_UMAT + ACCESS_RW, &vec); }
inline _InputOutputArray::_InputOutputArray(const cuda::GpuMat& d_mat)
{ init(FIXED_TYPE + FIXED_SIZE + CUDA_GPU_MAT + ACCESS_RW, &d_mat); }
inline _InputOutputArray::_InputOutputArray(const std::vector<cuda::GpuMat>& d_mat)
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR_CUDA_GPU_MAT + ACCESS_RW, &d_mat);}
template<> inline _InputOutputArray::_InputOutputArray(std::vector<cuda::GpuMat>& d_mat)
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR_CUDA_GPU_MAT + ACCESS_RW, &d_mat);}
inline _InputOutputArray::_InputOutputArray(const ogl::Buffer& buf)
{ init(FIXED_TYPE + FIXED_SIZE + OPENGL_BUFFER + ACCESS_RW, &buf); }
inline _InputOutputArray::_InputOutputArray(const cuda::HostMem& cuda_mem)
{ init(FIXED_TYPE + FIXED_SIZE + CUDA_HOST_MEM + ACCESS_RW, &cuda_mem); }
template<typename _Tp> inline
_InputOutputArray _InputOutputArray::rawInOut(std::vector<_Tp>& vec)
{
_InputOutputArray v;
v.flags = _InputArray::FIXED_TYPE + _InputArray::STD_VECTOR + rawType<_Tp>() + ACCESS_RW;
v.obj = (void*)&vec;
return v;
}
template<typename _Tp, std::size_t _Nm> inline
_InputOutputArray _InputOutputArray::rawInOut(std::array<_Tp, _Nm>& arr)
{
_InputOutputArray v;
v.flags = FIXED_TYPE + FIXED_SIZE + STD_ARRAY + traits::Type<_Tp>::value + ACCESS_RW;
v.obj = (void*)arr.data();
v.sz = Size(1, _Nm);
return v;
}
template<typename _Tp> static inline _InputArray rawIn(_Tp& v) { return _InputArray::rawIn(v); }
template<typename _Tp> static inline _OutputArray rawOut(_Tp& v) { return _OutputArray::rawOut(v); }
template<typename _Tp> static inline _InputOutputArray rawInOut(_Tp& v) { return _InputOutputArray::rawInOut(v); }
CV__DEBUG_NS_END
//////////////////////////////////////////// Mat //////////////////////////////////////////
inline
Mat::Mat()
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows), step(0)
{}
inline
Mat::Mat(int _rows, int _cols, int _type)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
create(_rows, _cols, _type);
}
inline
Mat::Mat(int _rows, int _cols, int _type, const Scalar& _s)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
create(_rows, _cols, _type);
*this = _s;
}
inline
Mat::Mat(Size _sz, int _type)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
create( _sz.height, _sz.width, _type );
}
inline
Mat::Mat(Size _sz, int _type, const Scalar& _s)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
create(_sz.height, _sz.width, _type);
*this = _s;
}
inline
Mat::Mat(int _dims, const int* _sz, int _type)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
create(_dims, _sz, _type);
}
inline
Mat::Mat(int _dims, const int* _sz, int _type, const Scalar& _s)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
create(_dims, _sz, _type);
*this = _s;
}
inline
Mat::Mat(const std::vector<int>& _sz, int _type)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
create(_sz, _type);
}
inline
Mat::Mat(const std::vector<int>& _sz, int _type, const Scalar& _s)
: flags(MAGIC_VAL), dims(0), rows(0), cols(0), data(0), datastart(0), dataend(0),
datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
create(_sz, _type);
*this = _s;
}
inline
Mat::Mat(const Mat& m)
: flags(m.flags), dims(m.dims), rows(m.rows), cols(m.cols), data(m.data),
datastart(m.datastart), dataend(m.dataend), datalimit(m.datalimit), allocator(m.allocator),
u(m.u), size(&rows), step(0)
{
if( u )
CV_XADD(&u->refcount, 1);
if( m.dims <= 2 )
{
step[0] = m.step[0]; step[1] = m.step[1];
}
else
{
dims = 0;
copySize(m);
}
}
inline
Mat::Mat(int _rows, int _cols, int _type, void* _data, size_t _step)
: flags(MAGIC_VAL + (_type & TYPE_MASK)), dims(2), rows(_rows), cols(_cols),
data((uchar*)_data), datastart((uchar*)_data), dataend(0), datalimit(0),
allocator(0), u(0), size(&rows)
{
CV_Assert(total() == 0 || data != NULL);
size_t esz = CV_ELEM_SIZE(_type), esz1 = CV_ELEM_SIZE1(_type);
size_t minstep = cols * esz;
if( _step == AUTO_STEP )
{
_step = minstep;
}
else
{
CV_DbgAssert( _step >= minstep );
if (_step % esz1 != 0)
{
CV_Error(Error::BadStep, "Step must be a multiple of esz1");
}
}
step[0] = _step;
step[1] = esz;
datalimit = datastart + _step * rows;
dataend = datalimit - _step + minstep;
updateContinuityFlag();
}
inline
Mat::Mat(Size _sz, int _type, void* _data, size_t _step)
: flags(MAGIC_VAL + (_type & TYPE_MASK)), dims(2), rows(_sz.height), cols(_sz.width),
data((uchar*)_data), datastart((uchar*)_data), dataend(0), datalimit(0),
allocator(0), u(0), size(&rows)
{
CV_Assert(total() == 0 || data != NULL);
size_t esz = CV_ELEM_SIZE(_type), esz1 = CV_ELEM_SIZE1(_type);
size_t minstep = cols*esz;
if( _step == AUTO_STEP )
{
_step = minstep;
}
else
{
CV_DbgAssert( _step >= minstep );
if (_step % esz1 != 0)
{
CV_Error(Error::BadStep, "Step must be a multiple of esz1");
}
}
step[0] = _step;
step[1] = esz;
datalimit = datastart + _step*rows;
dataend = datalimit - _step + minstep;
updateContinuityFlag();
}
template<typename _Tp> inline
Mat::Mat(const std::vector<_Tp>& vec, bool copyData)
: flags(MAGIC_VAL + traits::Type<_Tp>::value + CV_MAT_CONT_FLAG), dims(2), rows((int)vec.size()),
cols(1), data(0), datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
if(vec.empty())
return;
if( !copyData )
{
step[0] = step[1] = sizeof(_Tp);
datastart = data = (uchar*)&vec[0];
datalimit = dataend = datastart + rows * step[0];
}
else
Mat((int)vec.size(), 1, traits::Type<_Tp>::value, (uchar*)&vec[0]).copyTo(*this);
}
template<typename _Tp, typename> inline
Mat::Mat(const std::initializer_list<_Tp> list)
: Mat()
{
CV_Assert(list.size() != 0);
Mat((int)list.size(), 1, traits::Type<_Tp>::value, (uchar*)list.begin()).copyTo(*this);
}
template<typename _Tp> inline
Mat::Mat(const std::initializer_list<int> sizes, const std::initializer_list<_Tp> list)
: Mat()
{
size_t size_total = 1;
for(auto s : sizes)
size_total *= s;
CV_Assert(list.size() != 0);
CV_Assert(size_total == list.size());
Mat((int)sizes.size(), (int*)sizes.begin(), traits::Type<_Tp>::value, (uchar*)list.begin()).copyTo(*this);
}
template<typename _Tp, std::size_t _Nm> inline
Mat::Mat(const std::array<_Tp, _Nm>& arr, bool copyData)
: flags(MAGIC_VAL + traits::Type<_Tp>::value + CV_MAT_CONT_FLAG), dims(2), rows((int)arr.size()),
cols(1), data(0), datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
if(arr.empty())
return;
if( !copyData )
{
step[0] = step[1] = sizeof(_Tp);
datastart = data = (uchar*)arr.data();
datalimit = dataend = datastart + rows * step[0];
}
else
Mat((int)arr.size(), 1, traits::Type<_Tp>::value, (uchar*)arr.data()).copyTo(*this);
}
template<typename _Tp, int n> inline
Mat::Mat(const Vec<_Tp, n>& vec, bool copyData)
: flags(MAGIC_VAL + traits::Type<_Tp>::value + CV_MAT_CONT_FLAG), dims(2), rows(n), cols(1), data(0),
datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
if( !copyData )
{
step[0] = step[1] = sizeof(_Tp);
datastart = data = (uchar*)vec.val;
datalimit = dataend = datastart + rows * step[0];
}
else
Mat(n, 1, traits::Type<_Tp>::value, (void*)vec.val).copyTo(*this);
}
template<typename _Tp, int m, int n> inline
Mat::Mat(const Matx<_Tp,m,n>& M, bool copyData)
: flags(MAGIC_VAL + traits::Type<_Tp>::value + CV_MAT_CONT_FLAG), dims(2), rows(m), cols(n), data(0),
datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
if( !copyData )
{
step[0] = cols * sizeof(_Tp);
step[1] = sizeof(_Tp);
datastart = data = (uchar*)M.val;
datalimit = dataend = datastart + rows * step[0];
}
else
Mat(m, n, traits::Type<_Tp>::value, (uchar*)M.val).copyTo(*this);
}
template<typename _Tp> inline
Mat::Mat(const Point_<_Tp>& pt, bool copyData)
: flags(MAGIC_VAL + traits::Type<_Tp>::value + CV_MAT_CONT_FLAG), dims(2), rows(2), cols(1), data(0),
datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
if( !copyData )
{
step[0] = step[1] = sizeof(_Tp);
datastart = data = (uchar*)&pt.x;
datalimit = dataend = datastart + rows * step[0];
}
else
{
create(2, 1, traits::Type<_Tp>::value);
((_Tp*)data)[0] = pt.x;
((_Tp*)data)[1] = pt.y;
}
}
template<typename _Tp> inline
Mat::Mat(const Point3_<_Tp>& pt, bool copyData)
: flags(MAGIC_VAL + traits::Type<_Tp>::value + CV_MAT_CONT_FLAG), dims(2), rows(3), cols(1), data(0),
datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
if( !copyData )
{
step[0] = step[1] = sizeof(_Tp);
datastart = data = (uchar*)&pt.x;
datalimit = dataend = datastart + rows * step[0];
}
else
{
create(3, 1, traits::Type<_Tp>::value);
((_Tp*)data)[0] = pt.x;
((_Tp*)data)[1] = pt.y;
((_Tp*)data)[2] = pt.z;
}
}
template<typename _Tp> inline
Mat::Mat(const MatCommaInitializer_<_Tp>& commaInitializer)
: flags(MAGIC_VAL + traits::Type<_Tp>::value + CV_MAT_CONT_FLAG), dims(0), rows(0), cols(0), data(0),
datastart(0), dataend(0), allocator(0), u(0), size(&rows)
{
*this = commaInitializer.operator Mat_<_Tp>();
}
inline
Mat::~Mat()
{
release();
if( step.p != step.buf )
fastFree(step.p);
}
inline
Mat& Mat::operator = (const Mat& m)
{
if( this != &m )
{
if( m.u )
CV_XADD(&m.u->refcount, 1);
release();
flags = m.flags;
if( dims <= 2 && m.dims <= 2 )
{
dims = m.dims;
rows = m.rows;
cols = m.cols;
step[0] = m.step[0];
step[1] = m.step[1];
}
else
copySize(m);
data = m.data;
datastart = m.datastart;
dataend = m.dataend;
datalimit = m.datalimit;
allocator = m.allocator;
u = m.u;
}
return *this;
}
inline
Mat Mat::row(int y) const
{
return Mat(*this, Range(y, y + 1), Range::all());
}
inline
Mat Mat::col(int x) const
{
return Mat(*this, Range::all(), Range(x, x + 1));
}
inline
Mat Mat::rowRange(int startrow, int endrow) const
{
return Mat(*this, Range(startrow, endrow), Range::all());
}
inline
Mat Mat::rowRange(const Range& r) const
{
return Mat(*this, r, Range::all());
}
inline
Mat Mat::colRange(int startcol, int endcol) const
{
return Mat(*this, Range::all(), Range(startcol, endcol));
}
inline
Mat Mat::colRange(const Range& r) const
{
return Mat(*this, Range::all(), r);
}
inline
Mat Mat::clone() const
{
Mat m;
copyTo(m);
return m;
}
inline
void Mat::assignTo( Mat& m, int _type ) const
{
if( _type < 0 )
m = *this;
else
convertTo(m, _type);
}
inline
void Mat::create(int _rows, int _cols, int _type)
{
_type &= TYPE_MASK;
if( dims <= 2 && rows == _rows && cols == _cols && type() == _type && data )
return;
int sz[] = {_rows, _cols};
create(2, sz, _type);
}
inline
void Mat::create(Size _sz, int _type)
{
create(_sz.height, _sz.width, _type);
}
inline
void Mat::addref()
{
if( u )
CV_XADD(&u->refcount, 1);
}
inline
void Mat::release()
{
if( u && CV_XADD(&u->refcount, -1) == 1 )
deallocate();
u = NULL;
datastart = dataend = datalimit = data = 0;
for(int i = 0; i < dims; i++)
size.p[i] = 0;
#ifdef _DEBUG
flags = MAGIC_VAL;
dims = rows = cols = 0;
if(step.p != step.buf)
{
fastFree(step.p);
step.p = step.buf;
size.p = &rows;
}
#endif
}
inline
Mat Mat::operator()( Range _rowRange, Range _colRange ) const
{
return Mat(*this, _rowRange, _colRange);
}
inline
Mat Mat::operator()( const Rect& roi ) const
{
return Mat(*this, roi);
}
inline
Mat Mat::operator()(const Range* ranges) const
{
return Mat(*this, ranges);
}
inline
Mat Mat::operator()(const std::vector<Range>& ranges) const
{
return Mat(*this, ranges);
}
inline
bool Mat::isContinuous() const
{
return (flags & CONTINUOUS_FLAG) != 0;
}
inline
bool Mat::isSubmatrix() const
{
return (flags & SUBMATRIX_FLAG) != 0;
}
inline
size_t Mat::elemSize() const
{
size_t res = dims > 0 ? step.p[dims - 1] : 0;
CV_DbgAssert(res != 0);
return res;
}
inline
size_t Mat::elemSize1() const
{
return CV_ELEM_SIZE1(flags);
}
inline
int Mat::type() const
{
return CV_MAT_TYPE(flags);
}
inline
int Mat::depth() const
{
return CV_MAT_DEPTH(flags);
}
inline
int Mat::channels() const
{
return CV_MAT_CN(flags);
}
inline
size_t Mat::step1(int i) const
{
return step.p[i] / elemSize1();
}
inline
bool Mat::empty() const
{
return data == 0 || total() == 0 || dims == 0;
}
inline
size_t Mat::total() const
{
if( dims <= 2 )
return (size_t)rows * cols;
size_t p = 1;
for( int i = 0; i < dims; i++ )
p *= size[i];
return p;
}
inline
size_t Mat::total(int startDim, int endDim) const
{
CV_Assert( 0 <= startDim && startDim <= endDim);
size_t p = 1;
int endDim_ = endDim <= dims ? endDim : dims;
for( int i = startDim; i < endDim_; i++ )
p *= size[i];
return p;
}
inline
uchar* Mat::ptr(int y)
{
CV_DbgAssert( y == 0 || (data && dims >= 1 && (unsigned)y < (unsigned)size.p[0]) );
return data + step.p[0] * y;
}
inline
const uchar* Mat::ptr(int y) const
{
CV_DbgAssert( y == 0 || (data && dims >= 1 && (unsigned)y < (unsigned)size.p[0]) );
return data + step.p[0] * y;
}
template<typename _Tp> inline
_Tp* Mat::ptr(int y)
{
CV_DbgAssert( y == 0 || (data && dims >= 1 && (unsigned)y < (unsigned)size.p[0]) );
return (_Tp*)(data + step.p[0] * y);