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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 5054 )
#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 + MATX + 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 + MATX + 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::MATX && (sz.width <= 1 || sz.height <= 1)); }
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 + MATX + 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 + MATX + 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 + MATX + 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 + MATX + 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 + MATX + 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 + MATX + 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 //////////////////////////////////////////
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::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::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
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);
}
template<typename _Tp> inline
const _Tp* Mat::ptr(int y) const
{
CV_DbgAssert( y == 0 || (data && dims >= 1 && (unsigned)y < (unsigned)size.p[0]) );
return (const _Tp*)(data + step.p[0] * y);
}
inline
uchar* Mat::ptr(int i0, int i1)
{
CV_DbgAssert(dims >= 2);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)i1 < (unsigned)size.p[1]);
return data + i0 * step.p[0] + i1 * step.p[1];
}
inline
const uchar* Mat::ptr(int i0, int i1) const
{
CV_DbgAssert(dims >= 2);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)i1 < (unsigned)size.p[1]);
return data + i0 * step.p[0] + i1 * step.p[1];
}
template<typename _Tp> inline
_Tp* Mat::ptr(int i0, int i1)
{
CV_DbgAssert(dims >= 2);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)i1 < (unsigned)size.p[1]);
return (_Tp*)(data + i0 * step.p[0] + i1 * step.p[1]);
}
template<typename _Tp> inline
const _Tp* Mat::ptr(int i0, int i1) const
{
CV_DbgAssert(dims >= 2);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)i1 < (unsigned)size.p[1]);
return (const _Tp*)(data + i0 * step.p[0] + i1 * step.p[1]);
}
inline
uchar* Mat::ptr(int i0, int i1, int i2)
{
CV_DbgAssert(dims >= 3);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)i1 < (unsigned)size.p[1]);
CV_DbgAssert((unsigned)i2 < (unsigned)size.p[2]);
return data + i0 * step.p[0] + i1 * step.p[1] + i2 * step.p[2];
}
inline
const uchar* Mat::ptr(int i0, int i1, int i2) const
{
CV_DbgAssert(dims >= 3);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)i1 < (unsigned)size.p[1]);
CV_DbgAssert((unsigned)i2 < (unsigned)size.p[2]);
return data + i0 * step.p[0] + i1 * step.p[1] + i2 * step.p[2];
}
template<typename _Tp> inline
_Tp* Mat::ptr(int i0, int i1, int i2)
{
CV_DbgAssert(dims >= 3);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)i1 < (unsigned)size.p[1]);
CV_DbgAssert((unsigned)i2 < (unsigned)size.p[2]);
return (_Tp*)(data + i0 * step.p[0] + i1 * step.p[1] + i2 * step.p[2]);
}
template<typename _Tp> inline
const _Tp* Mat::ptr(int i0, int i1, int i2) const
{
CV_DbgAssert(dims >= 3);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)i1 < (unsigned)size.p[1]);
CV_DbgAssert((unsigned)i2 < (unsigned)size.p[2]);
return (const _Tp*)(data + i0 * step.p[0] + i1 * step.p[1] + i2 * step.p[2]);
}
inline
uchar* Mat::ptr(const int* idx)
{
int i, d = dims;
uchar* p = data;
CV_DbgAssert( d >= 1 && p );
for( i = 0; i < d; i++ )
{
CV_DbgAssert( (unsigned)idx[i] < (unsigned)size.p[i] );
p += idx[i] * step.p[i];
}
return p;
}
inline
const uchar* Mat::ptr(const int* idx) const
{
int i, d = dims;
uchar* p = data;
CV_DbgAssert( d >= 1 && p );
for( i = 0; i < d; i++ )
{
CV_DbgAssert( (unsigned)idx[i] < (unsigned)size.p[i] );
p += idx[i] * step.p[i];
}
return p;
}
template<typename _Tp> inline
_Tp* Mat::ptr(const int* idx)
{
int i, d = dims;
uchar* p = data;
CV_DbgAssert( d >= 1 && p );
for( i = 0; i < d; i++ )
{
CV_DbgAssert( (unsigned)idx[i] < (unsigned)size.p[i] );
p += idx[i] * step.p[i];
}
return (_Tp*)p;
}
template<typename _Tp> inline
const _Tp* Mat::ptr(const int* idx) const
{
int i, d = dims;
uchar* p = data;
CV_DbgAssert( d >= 1 && p );
for( i = 0; i < d; i++ )
{
CV_DbgAssert( (unsigned)idx[i] < (unsigned)size.p[i] );
p += idx[i] * step.p[i];
}
return (const _Tp*)p;
}
template<int n> inline
uchar* Mat::ptr(const Vec<int, n>& idx)
{
return Mat::ptr(idx.val);
}
template<int n> inline
const uchar* Mat::ptr(const Vec<int, n>& idx) const
{
return Mat::ptr(idx.val);
}
template<typename _Tp, int n> inline
_Tp* Mat::ptr(const Vec<int, n>& idx)
{
CV_DbgAssert( elemSize() == sizeof(_Tp) );
return Mat::ptr<_Tp>(idx.val);
}
template<typename _Tp, int n> inline
const _Tp* Mat::ptr(const Vec<int, n>& idx) const
{
CV_DbgAssert( elemSize() == sizeof(_Tp) );
return Mat::ptr<_Tp>(idx.val);
}
template<typename _Tp> inline
_Tp& Mat::at(int i0, int i1)
{
CV_DbgAssert(dims <= 2);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)(i1 * DataType<_Tp>::channels) < (unsigned)(size.p[1] * channels()));
CV_DbgAssert(CV_ELEM_SIZE1(traits::Depth<_Tp>::value) == elemSize1());
return ((_Tp*)(data + step.p[0] * i0))[i1];
}
template<typename _Tp> inline
const _Tp& Mat::at(int i0, int i1) const
{
CV_DbgAssert(dims <= 2);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)(i1 * DataType<_Tp>::channels) < (unsigned)(size.p[1] * channels()));
CV_DbgAssert(CV_ELEM_SIZE1(traits::Depth<_Tp>::value) == elemSize1());
return ((const _Tp*)(data + step.p[0] * i0))[i1];
}
template<typename _Tp> inline
_Tp& Mat::at(Point pt)
{
CV_DbgAssert(dims <= 2);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)pt.y < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)(pt.x * DataType<_Tp>::channels) < (unsigned)(size.p[1] * channels()));
CV_DbgAssert(CV_ELEM_SIZE1(traits::Depth<_Tp>::value) == elemSize1());
return ((_Tp*)(data + step.p[0] * pt.y))[pt.x];
}
template<typename _Tp> inline
const _Tp& Mat::at(Point pt) const
{
CV_DbgAssert(dims <= 2);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)pt.y < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)(pt.x * DataType<_Tp>::channels) < (unsigned)(size.p[1] * channels()));
CV_DbgAssert(CV_ELEM_SIZE1(traits::Depth<_Tp>::value) == elemSize1());
return ((const _Tp*)(data + step.p[0] * pt.y))[pt.x];
}
template<typename _Tp> inline
_Tp& Mat::at(int i0)
{
CV_DbgAssert(dims <= 2);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)(size.p[0] * size.p[1]));
CV_DbgAssert(elemSize() == sizeof(_Tp));
if( isContinuous() || size.p[0] == 1 )
return ((_Tp*)data)[i0];
if( size.p[1] == 1 )
return *(_Tp*)(data + step.p[0] * i0);
int i = i0 / cols, j = i0 - i * cols;
return ((_Tp*)(data + step.p[0] * i))[j];
}
template<typename _Tp> inline
const _Tp& Mat::at(int i0) const
{
CV_DbgAssert(dims <= 2);
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)(size.p[0] * size.p[1]));
CV_DbgAssert(elemSize() == sizeof(_Tp));
if( isContinuous() || size.p[0] == 1 )
return ((const _Tp*)data)[i0];
if( size.p[1] == 1 )
return *(const _Tp*)(data + step.p[0] * i0);
int i = i0 / cols, j = i0 - i * cols;
return ((const _Tp*)(data + step.p[0] * i))[j];
}
template<typename _Tp> inline
_Tp& Mat::at(int i0, int i1, int i2)
{
CV_DbgAssert( elemSize() == sizeof(_Tp) );
return *(_Tp*)ptr(i0, i1, i2);
}
template<typename _Tp> inline
const _Tp& Mat::at(int i0, int i1, int i2) const
{
CV_DbgAssert( elemSize() == sizeof(_Tp) );
return *(const _Tp*)ptr(i0, i1, i2);
}
template<typename _Tp> inline
_Tp& Mat::at(const int* idx)
{
CV_DbgAssert( elemSize() == sizeof(_Tp) );
return *(_Tp*)ptr(idx);
}
template<typename _Tp> inline
const _Tp& Mat::at(const int* idx) const
{
CV_DbgAssert( elemSize() == sizeof(_Tp) );
return *(const _Tp*)ptr(idx);
}
template<typename _Tp, int n> inline
_Tp& Mat::at(const Vec<int, n>& idx)
{
CV_DbgAssert( elemSize() == sizeof(_Tp) );
return *(_Tp*)ptr(idx.val);
}