Commit 72f789bf authored by Alexander Alekhin's avatar Alexander Alekhin

core: fix type traits

parent f6265500
......@@ -107,7 +107,7 @@ RECURSIVE = YES
EXCLUDE =
EXCLUDE_SYMLINKS = NO
EXCLUDE_PATTERNS = *.inl.hpp *.impl.hpp *_detail.hpp */cudev/**/detail/*.hpp *.m
EXCLUDE_SYMBOLS = cv::DataType<*> int void
EXCLUDE_SYMBOLS = cv::DataType<*> cv::traits::* int void CV__*
EXAMPLE_PATH = @CMAKE_DOXYGEN_EXAMPLE_PATH@
EXAMPLE_PATTERNS = *
EXAMPLE_RECURSIVE = YES
......
......@@ -233,7 +233,7 @@ template<typename _Tp, int n> static inline
std::ostream& operator << (std::ostream& out, const Vec<_Tp, n>& vec)
{
out << "[";
if(Vec<_Tp, n>::depth < CV_32F)
if (cv::traits::Depth<_Tp>::value <= CV_32S)
{
for (int i = 0; i < n - 1; ++i) {
out << (int)vec[i] << ", ";
......
......@@ -1531,6 +1531,11 @@ public:
*/
template<typename _Tp> void push_back(const Mat_<_Tp>& elem);
/** @overload
@param elem Added element(s).
*/
template<typename _Tp> void push_back(const std::vector<_Tp>& elem);
/** @overload
@param m Added line(s).
*/
......
......@@ -82,12 +82,12 @@ inline _InputArray::_InputArray(const std::vector<UMat>& vec) { init(STD_VECTOR_
template<typename _Tp> inline
_InputArray::_InputArray(const std::vector<_Tp>& vec)
{ init(FIXED_TYPE + STD_VECTOR + DataType<_Tp>::type + ACCESS_READ, &vec); }
{ init(FIXED_TYPE + STD_VECTOR + traits::Type<_Tp>::value + ACCESS_READ, &vec); }
#ifdef CV_CXX_STD_ARRAY
template<typename _Tp, std::size_t _Nm> inline
_InputArray::_InputArray(const std::array<_Tp, _Nm>& arr)
{ init(FIXED_TYPE + FIXED_SIZE + STD_ARRAY + DataType<_Tp>::type + ACCESS_READ, arr.data(), Size(1, _Nm)); }
{ 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)
......@@ -96,11 +96,11 @@ _InputArray::_InputArray(const std::array<Mat, _Nm>& arr)
inline
_InputArray::_InputArray(const std::vector<bool>& vec)
{ init(FIXED_TYPE + STD_BOOL_VECTOR + DataType<bool>::type + ACCESS_READ, &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 + DataType<_Tp>::type + ACCESS_READ, &vec); }
{ init(FIXED_TYPE + STD_VECTOR_VECTOR + traits::Type<_Tp>::value + ACCESS_READ, &vec); }
inline
_InputArray::_InputArray(const std::vector<std::vector<bool> >&)
......@@ -108,19 +108,19 @@ _InputArray::_InputArray(const std::vector<std::vector<bool> >&)
template<typename _Tp> inline
_InputArray::_InputArray(const std::vector<Mat_<_Tp> >& vec)
{ init(FIXED_TYPE + STD_VECTOR_MAT + DataType<_Tp>::type + ACCESS_READ, &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 + DataType<_Tp>::type + ACCESS_READ, &mtx, Size(n, m)); }
{ 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 + DataType<_Tp>::type + ACCESS_READ, vec, Size(n, 1)); }
{ 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 + DataType<_Tp>::type + ACCESS_READ, &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)); }
......@@ -170,12 +170,12 @@ inline _OutputArray::_OutputArray(std::vector<UMat>& vec) { init(STD_VECTOR_UMAT
template<typename _Tp> inline
_OutputArray::_OutputArray(std::vector<_Tp>& vec)
{ init(FIXED_TYPE + STD_VECTOR + DataType<_Tp>::type + ACCESS_WRITE, &vec); }
{ init(FIXED_TYPE + STD_VECTOR + traits::Type<_Tp>::value + ACCESS_WRITE, &vec); }
#ifdef CV_CXX_STD_ARRAY
template<typename _Tp, std::size_t _Nm> inline
_OutputArray::_OutputArray(std::array<_Tp, _Nm>& arr)
{ init(FIXED_TYPE + FIXED_SIZE + STD_ARRAY + DataType<_Tp>::type + ACCESS_WRITE, arr.data(), Size(1, _Nm)); }
{ 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)
......@@ -188,7 +188,7 @@ _OutputArray::_OutputArray(std::vector<bool>&)
template<typename _Tp> inline
_OutputArray::_OutputArray(std::vector<std::vector<_Tp> >& vec)
{ init(FIXED_TYPE + STD_VECTOR_VECTOR + DataType<_Tp>::type + ACCESS_WRITE, &vec); }
{ init(FIXED_TYPE + STD_VECTOR_VECTOR + traits::Type<_Tp>::value + ACCESS_WRITE, &vec); }
inline
_OutputArray::_OutputArray(std::vector<std::vector<bool> >&)
......@@ -196,28 +196,28 @@ _OutputArray::_OutputArray(std::vector<std::vector<bool> >&)
template<typename _Tp> inline
_OutputArray::_OutputArray(std::vector<Mat_<_Tp> >& vec)
{ init(FIXED_TYPE + STD_VECTOR_MAT + DataType<_Tp>::type + ACCESS_WRITE, &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 + DataType<_Tp>::type + ACCESS_WRITE, &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 + DataType<_Tp>::type + ACCESS_WRITE, &mtx, Size(n, m)); }
{ 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 + DataType<_Tp>::type + ACCESS_WRITE, vec, Size(n, 1)); }
{ 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 + DataType<_Tp>::type + ACCESS_WRITE, &vec); }
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR + traits::Type<_Tp>::value + ACCESS_WRITE, &vec); }
#ifdef CV_CXX_STD_ARRAY
template<typename _Tp, std::size_t _Nm> inline
_OutputArray::_OutputArray(const std::array<_Tp, _Nm>& arr)
{ init(FIXED_TYPE + FIXED_SIZE + STD_ARRAY + DataType<_Tp>::type + ACCESS_WRITE, arr.data(), Size(1, _Nm)); }
{ 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)
......@@ -226,23 +226,23 @@ _OutputArray::_OutputArray(const std::array<Mat, _Nm>& arr)
template<typename _Tp> inline
_OutputArray::_OutputArray(const std::vector<std::vector<_Tp> >& vec)
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR_VECTOR + DataType<_Tp>::type + ACCESS_WRITE, &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 + DataType<_Tp>::type + ACCESS_WRITE, &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 + DataType<_Tp>::type + ACCESS_WRITE, &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 + DataType<_Tp>::type + ACCESS_WRITE, &mtx, Size(n, m)); }
{ 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 + DataType<_Tp>::type + ACCESS_WRITE, vec, Size(n, 1)); }
{ 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); }
......@@ -289,12 +289,12 @@ inline _InputOutputArray::_InputOutputArray(std::vector<UMat>& vec) { init(STD_V
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(std::vector<_Tp>& vec)
{ init(FIXED_TYPE + STD_VECTOR + DataType<_Tp>::type + ACCESS_RW, &vec); }
{ init(FIXED_TYPE + STD_VECTOR + traits::Type<_Tp>::value + ACCESS_RW, &vec); }
#ifdef CV_CXX_STD_ARRAY
template<typename _Tp, std::size_t _Nm> inline
_InputOutputArray::_InputOutputArray(std::array<_Tp, _Nm>& arr)
{ init(FIXED_TYPE + FIXED_SIZE + STD_ARRAY + DataType<_Tp>::type + ACCESS_RW, arr.data(), Size(1, _Nm)); }
{ 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)
......@@ -306,32 +306,32 @@ inline _InputOutputArray::_InputOutputArray(std::vector<bool>&)
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(std::vector<std::vector<_Tp> >& vec)
{ init(FIXED_TYPE + STD_VECTOR_VECTOR + DataType<_Tp>::type + ACCESS_RW, &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 + DataType<_Tp>::type + ACCESS_RW, &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 + DataType<_Tp>::type + ACCESS_RW, &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 + DataType<_Tp>::type + ACCESS_RW, &mtx, Size(n, m)); }
{ 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 + DataType<_Tp>::type + ACCESS_RW, vec, Size(n, 1)); }
{ 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 + DataType<_Tp>::type + ACCESS_RW, &vec); }
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR + traits::Type<_Tp>::value + ACCESS_RW, &vec); }
#ifdef CV_CXX_STD_ARRAY
template<typename _Tp, std::size_t _Nm> inline
_InputOutputArray::_InputOutputArray(const std::array<_Tp, _Nm>& arr)
{ init(FIXED_TYPE + FIXED_SIZE + STD_ARRAY + DataType<_Tp>::type + ACCESS_RW, arr.data(), Size(1, _Nm)); }
{ 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)
......@@ -340,23 +340,23 @@ _InputOutputArray::_InputOutputArray(const std::array<Mat, _Nm>& arr)
template<typename _Tp> inline
_InputOutputArray::_InputOutputArray(const std::vector<std::vector<_Tp> >& vec)
{ init(FIXED_TYPE + FIXED_SIZE + STD_VECTOR_VECTOR + DataType<_Tp>::type + ACCESS_RW, &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 + DataType<_Tp>::type + ACCESS_RW, &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 + DataType<_Tp>::type + ACCESS_RW, &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 + DataType<_Tp>::type + ACCESS_RW, &mtx, Size(n, m)); }
{ 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 + DataType<_Tp>::type + ACCESS_RW, vec, Size(n, 1)); }
{ 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); }
......@@ -559,7 +559,7 @@ Mat::Mat(Size _sz, int _type, void* _data, size_t _step)
template<typename _Tp> inline
Mat::Mat(const std::vector<_Tp>& vec, bool copyData)
: flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows((int)vec.size()),
: 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())
......@@ -571,25 +571,25 @@ Mat::Mat(const std::vector<_Tp>& vec, bool copyData)
datalimit = dataend = datastart + rows * step[0];
}
else
Mat((int)vec.size(), 1, DataType<_Tp>::type, (uchar*)&vec[0]).copyTo(*this);
Mat((int)vec.size(), 1, traits::Type<_Tp>::value, (uchar*)&vec[0]).copyTo(*this);
}
#ifdef CV_CXX11
template<typename _Tp, typename> inline
Mat::Mat(const std::initializer_list<_Tp> list)
: flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows((int)list.size()),
: flags(MAGIC_VAL | traits::Type<_Tp>::value | CV_MAT_CONT_FLAG), dims(2), rows((int)list.size()),
cols(1), data(0), datastart(0), dataend(0), datalimit(0), allocator(0), u(0), size(&rows), step(0)
{
if(list.size() == 0)
return;
Mat((int)list.size(), 1, DataType<_Tp>::type, (uchar*)list.begin()).copyTo(*this);
Mat((int)list.size(), 1, traits::Type<_Tp>::value, (uchar*)list.begin()).copyTo(*this);
}
#endif
#ifdef CV_CXX_STD_ARRAY
template<typename _Tp, std::size_t _Nm> inline
Mat::Mat(const std::array<_Tp, _Nm>& arr, bool copyData)
: flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows((int)arr.size()),
: 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())
......@@ -601,13 +601,13 @@ Mat::Mat(const std::array<_Tp, _Nm>& arr, bool copyData)
datalimit = dataend = datastart + rows * step[0];
}
else
Mat((int)arr.size(), 1, DataType<_Tp>::type, (uchar*)arr.data()).copyTo(*this);
Mat((int)arr.size(), 1, traits::Type<_Tp>::value, (uchar*)arr.data()).copyTo(*this);
}
#endif
template<typename _Tp, int n> inline
Mat::Mat(const Vec<_Tp, n>& vec, bool copyData)
: flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows(n), cols(1), data(0),
: 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 )
......@@ -617,13 +617,13 @@ Mat::Mat(const Vec<_Tp, n>& vec, bool copyData)
datalimit = dataend = datastart + rows * step[0];
}
else
Mat(n, 1, DataType<_Tp>::type, (void*)vec.val).copyTo(*this);
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 | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows(m), cols(n), data(0),
: 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 )
......@@ -634,12 +634,12 @@ Mat::Mat(const Matx<_Tp,m,n>& M, bool copyData)
datalimit = dataend = datastart + rows * step[0];
}
else
Mat(m, n, DataType<_Tp>::type, (uchar*)M.val).copyTo(*this);
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 | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows(2), cols(1), data(0),
: 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 )
......@@ -650,7 +650,7 @@ Mat::Mat(const Point_<_Tp>& pt, bool copyData)
}
else
{
create(2, 1, DataType<_Tp>::type);
create(2, 1, traits::Type<_Tp>::value);
((_Tp*)data)[0] = pt.x;
((_Tp*)data)[1] = pt.y;
}
......@@ -658,7 +658,7 @@ Mat::Mat(const Point_<_Tp>& pt, bool copyData)
template<typename _Tp> inline
Mat::Mat(const Point3_<_Tp>& pt, bool copyData)
: flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows(3), cols(1), data(0),
: 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 )
......@@ -669,7 +669,7 @@ Mat::Mat(const Point3_<_Tp>& pt, bool copyData)
}
else
{
create(3, 1, DataType<_Tp>::type);
create(3, 1, traits::Type<_Tp>::value);
((_Tp*)data)[0] = pt.x;
((_Tp*)data)[1] = pt.y;
((_Tp*)data)[2] = pt.z;
......@@ -678,7 +678,7 @@ Mat::Mat(const Point3_<_Tp>& pt, bool copyData)
template<typename _Tp> inline
Mat::Mat(const MatCommaInitializer_<_Tp>& commaInitializer)
: flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(0), rows(0), cols(0), data(0),
: 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>();
......@@ -1065,7 +1065,7 @@ _Tp& Mat::at(int i0, int i1)
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(DataType<_Tp>::depth) == elemSize1());
CV_DbgAssert(CV_ELEM_SIZE1(traits::Depth<_Tp>::value) == elemSize1());
return ((_Tp*)(data + step.p[0] * i0))[i1];
}
......@@ -1076,7 +1076,7 @@ const _Tp& Mat::at(int i0, int i1) const
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(DataType<_Tp>::depth) == elemSize1());
CV_DbgAssert(CV_ELEM_SIZE1(traits::Depth<_Tp>::value) == elemSize1());
return ((const _Tp*)(data + step.p[0] * i0))[i1];
}
......@@ -1087,7 +1087,7 @@ _Tp& Mat::at(Point pt)
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(DataType<_Tp>::depth) == elemSize1());
CV_DbgAssert(CV_ELEM_SIZE1(traits::Depth<_Tp>::value) == elemSize1());
return ((_Tp*)(data + step.p[0] * pt.y))[pt.x];
}
......@@ -1098,7 +1098,7 @@ const _Tp& Mat::at(Point pt) const
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(DataType<_Tp>::depth) == elemSize1());
CV_DbgAssert(CV_ELEM_SIZE1(traits::Depth<_Tp>::value) == elemSize1());
return ((const _Tp*)(data + step.p[0] * pt.y))[pt.x];
}
......@@ -1108,7 +1108,7 @@ _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() == CV_ELEM_SIZE(DataType<_Tp>::type));
CV_DbgAssert(elemSize() == CV_ELEM_SIZE(traits::Type<_Tp>::value));
if( isContinuous() || size.p[0] == 1 )
return ((_Tp*)data)[i0];
if( size.p[1] == 1 )
......@@ -1123,7 +1123,7 @@ 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() == CV_ELEM_SIZE(DataType<_Tp>::type));
CV_DbgAssert(elemSize() == CV_ELEM_SIZE(traits::Type<_Tp>::value));
if( isContinuous() || size.p[0] == 1 )
return ((const _Tp*)data)[i0];
if( size.p[1] == 1 )
......@@ -1135,42 +1135,42 @@ const _Tp& Mat::at(int i0) const
template<typename _Tp> inline
_Tp& Mat::at(int i0, int i1, int i2)
{
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) );
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(traits::Type<_Tp>::value) );
return *(_Tp*)ptr(i0, i1, i2);
}
template<typename _Tp> inline
const _Tp& Mat::at(int i0, int i1, int i2) const
{
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) );
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(traits::Type<_Tp>::value) );
return *(const _Tp*)ptr(i0, i1, i2);
}
template<typename _Tp> inline
_Tp& Mat::at(const int* idx)
{
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) );
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(traits::Type<_Tp>::value) );
return *(_Tp*)ptr(idx);
}
template<typename _Tp> inline
const _Tp& Mat::at(const int* idx) const
{
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) );
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(traits::Type<_Tp>::value) );
return *(const _Tp*)ptr(idx);
}
template<typename _Tp, int n> inline
_Tp& Mat::at(const Vec<int, n>& idx)
{
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) );
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(traits::Type<_Tp>::value) );
return *(_Tp*)ptr(idx.val);
}
template<typename _Tp, int n> inline
const _Tp& Mat::at(const Vec<int, n>& idx) const
{
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(DataType<_Tp>::type) );
CV_DbgAssert( elemSize() == CV_ELEM_SIZE(traits::Type<_Tp>::value) );
return *(const _Tp*)ptr(idx.val);
}
......@@ -1241,10 +1241,10 @@ Mat::operator Vec<_Tp, n>() const
CV_Assert( data && dims <= 2 && (rows == 1 || cols == 1) &&
rows + cols - 1 == n && channels() == 1 );
if( isContinuous() && type() == DataType<_Tp>::type )
if( isContinuous() && type() == traits::Type<_Tp>::value )
return Vec<_Tp, n>((_Tp*)data);
Vec<_Tp, n> v;
Mat tmp(rows, cols, DataType<_Tp>::type, v.val);
Mat tmp(rows, cols, traits::Type<_Tp>::value, v.val);
convertTo(tmp, tmp.type());
return v;
}
......@@ -1254,10 +1254,10 @@ Mat::operator Matx<_Tp, m, n>() const
{
CV_Assert( data && dims <= 2 && rows == m && cols == n && channels() == 1 );
if( isContinuous() && type() == DataType<_Tp>::type )
if( isContinuous() && type() == traits::Type<_Tp>::value )
return Matx<_Tp, m, n>((_Tp*)data);
Matx<_Tp, m, n> mtx;
Mat tmp(rows, cols, DataType<_Tp>::type, mtx.val);
Mat tmp(rows, cols, traits::Type<_Tp>::value, mtx.val);
convertTo(tmp, tmp.type());
return mtx;
}
......@@ -1267,10 +1267,10 @@ void Mat::push_back(const _Tp& elem)
{
if( !data )
{
*this = Mat(1, 1, DataType<_Tp>::type, (void*)&elem).clone();
*this = Mat(1, 1, traits::Type<_Tp>::value, (void*)&elem).clone();
return;
}
CV_Assert(DataType<_Tp>::type == type() && cols == 1
CV_Assert(traits::Type<_Tp>::value == type() && cols == 1
/* && dims == 2 (cols == 1 implies dims == 2) */);
const uchar* tmp = dataend + step[0];
if( !isSubmatrix() && isContinuous() && tmp <= datalimit )
......@@ -1294,6 +1294,13 @@ void Mat::push_back(const MatExpr& expr)
push_back(static_cast<Mat>(expr));
}
template<typename _Tp> inline
void Mat::push_back(const std::vector<_Tp>& v)
{
push_back(Mat(v));
}
#ifdef CV_CXX_MOVE_SEMANTICS
inline
......@@ -1462,47 +1469,47 @@ template<typename _Tp> inline
Mat_<_Tp>::Mat_()
: Mat()
{
flags = (flags & ~CV_MAT_TYPE_MASK) | DataType<_Tp>::type;
flags = (flags & ~CV_MAT_TYPE_MASK) | traits::Type<_Tp>::value;
}
template<typename _Tp> inline
Mat_<_Tp>::Mat_(int _rows, int _cols)
: Mat(_rows, _cols, DataType<_Tp>::type)
: Mat(_rows, _cols, traits::Type<_Tp>::value)
{
}
template<typename _Tp> inline
Mat_<_Tp>::Mat_(int _rows, int _cols, const _Tp& value)
: Mat(_rows, _cols, DataType<_Tp>::type)
: Mat(_rows, _cols, traits::Type<_Tp>::value)
{
*this = value;
}
template<typename _Tp> inline
Mat_<_Tp>::Mat_(Size _sz)
: Mat(_sz.height, _sz.width, DataType<_Tp>::type)
: Mat(_sz.height, _sz.width, traits::Type<_Tp>::value)
{}
template<typename _Tp> inline
Mat_<_Tp>::Mat_(Size _sz, const _Tp& value)
: Mat(_sz.height, _sz.width, DataType<_Tp>::type)
: Mat(_sz.height, _sz.width, traits::Type<_Tp>::value)
{
*this = value;
}
template<typename _Tp> inline
Mat_<_Tp>::Mat_(int _dims, const int* _sz)
: Mat(_dims, _sz, DataType<_Tp>::type)
: Mat(_dims, _sz, traits::Type<_Tp>::value)
{}
template<typename _Tp> inline
Mat_<_Tp>::Mat_(int _dims, const int* _sz, const _Tp& _s)
: Mat(_dims, _sz, DataType<_Tp>::type, Scalar(_s))
: Mat(_dims, _sz, traits::Type<_Tp>::value, Scalar(_s))
{}
template<typename _Tp> inline
Mat_<_Tp>::Mat_(int _dims, const int* _sz, _Tp* _data, const size_t* _steps)
: Mat(_dims, _sz, DataType<_Tp>::type, _data, _steps)
: Mat(_dims, _sz, traits::Type<_Tp>::value, _data, _steps)
{}
template<typename _Tp> inline
......@@ -1519,7 +1526,7 @@ template<typename _Tp> inline
Mat_<_Tp>::Mat_(const Mat& m)
: Mat()
{
flags = (flags & ~CV_MAT_TYPE_MASK) | DataType<_Tp>::type;
flags = (flags & ~CV_MAT_TYPE_MASK) | traits::Type<_Tp>::value;
*this = m;
}
......@@ -1530,7 +1537,7 @@ Mat_<_Tp>::Mat_(const Mat_& m)
template<typename _Tp> inline
Mat_<_Tp>::Mat_(int _rows, int _cols, _Tp* _data, size_t steps)
: Mat(_rows, _cols, DataType<_Tp>::type, _data, steps)
: Mat(_rows, _cols, traits::Type<_Tp>::value, _data, steps)
{}
template<typename _Tp> inline
......@@ -1545,7 +1552,7 @@ Mat_<_Tp>::Mat_(const Mat_& m, const Rect& roi)
template<typename _Tp> template<int n> inline
Mat_<_Tp>::Mat_(const Vec<typename DataType<_Tp>::channel_type, n>& vec, bool copyData)
: Mat(n / DataType<_Tp>::channels, 1, DataType<_Tp>::type, (void*)&vec)
: Mat(n / DataType<_Tp>::channels, 1, traits::Type<_Tp>::value, (void*)&vec)
{
CV_Assert(n%DataType<_Tp>::channels == 0);
if( copyData )
......@@ -1554,7 +1561,7 @@ Mat_<_Tp>::Mat_(const Vec<typename DataType<_Tp>::channel_type, n>& vec, bool co
template<typename _Tp> template<int m, int n> inline
Mat_<_Tp>::Mat_(const Matx<typename DataType<_Tp>::channel_type, m, n>& M, bool copyData)
: Mat(m, n / DataType<_Tp>::channels, DataType<_Tp>::type, (void*)&M)
: Mat(m, n / DataType<_Tp>::channels, traits::Type<_Tp>::value, (void*)&M)
{
CV_Assert(n % DataType<_Tp>::channels == 0);
if( copyData )
......@@ -1563,7 +1570,7 @@ Mat_<_Tp>::Mat_(const Matx<typename DataType<_Tp>::channel_type, m, n>& M, bool
template<typename _Tp> inline
Mat_<_Tp>::Mat_(const Point_<typename DataType<_Tp>::channel_type>& pt, bool copyData)
: Mat(2 / DataType<_Tp>::channels, 1, DataType<_Tp>::type, (void*)&pt)
: Mat(2 / DataType<_Tp>::channels, 1, traits::Type<_Tp>::value, (void*)&pt)
{
CV_Assert(2 % DataType<_Tp>::channels == 0);
if( copyData )
......@@ -1572,7 +1579,7 @@ Mat_<_Tp>::Mat_(const Point_<typename DataType<_Tp>::channel_type>& pt, bool cop
template<typename _Tp> inline
Mat_<_Tp>::Mat_(const Point3_<typename DataType<_Tp>::channel_type>& pt, bool copyData)
: Mat(3 / DataType<_Tp>::channels, 1, DataType<_Tp>::type, (void*)&pt)
: Mat(3 / DataType<_Tp>::channels, 1, traits::Type<_Tp>::value, (void*)&pt)
{
CV_Assert(3 % DataType<_Tp>::channels == 0);
if( copyData )
......@@ -1606,12 +1613,12 @@ Mat_<_Tp>::Mat_(const std::array<_Tp, _Nm>& arr, bool copyData)
template<typename _Tp> inline
Mat_<_Tp>& Mat_<_Tp>::operator = (const Mat& m)
{
if( DataType<_Tp>::type == m.type() )
if( traits::Type<_Tp>::value == m.type() )
{
Mat::operator = (m);
return *this;
}
if( DataType<_Tp>::depth == m.depth() )
if( traits::Depth<_Tp>::value == m.depth() )
{
return (*this = m.reshape(DataType<_Tp>::channels, m.dims, 0));
}
......@@ -1638,19 +1645,19 @@ Mat_<_Tp>& Mat_<_Tp>::operator = (const _Tp& s)
template<typename _Tp> inline
void Mat_<_Tp>::create(int _rows, int _cols)
{
Mat::create(_rows, _cols, DataType<_Tp>::type);
Mat::create(_rows, _cols, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
void Mat_<_Tp>::create(Size _sz)
{
Mat::create(_sz, DataType<_Tp>::type);
Mat::create(_sz, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
void Mat_<_Tp>::create(int _dims, const int* _sz)
{
Mat::create(_dims, _sz, DataType<_Tp>::type);
Mat::create(_dims, _sz, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
......@@ -1715,15 +1722,15 @@ size_t Mat_<_Tp>::elemSize1() const
template<typename _Tp> inline
int Mat_<_Tp>::type() const
{
CV_DbgAssert( Mat::type() == DataType<_Tp>::type );
return DataType<_Tp>::type;
CV_DbgAssert( Mat::type() == traits::Type<_Tp>::value );
return traits::Type<_Tp>::value;
}
template<typename _Tp> inline
int Mat_<_Tp>::depth() const
{
CV_DbgAssert( Mat::depth() == DataType<_Tp>::depth );
return DataType<_Tp>::depth;
CV_DbgAssert( Mat::depth() == traits::Depth<_Tp>::value );
return traits::Depth<_Tp>::value;
}
template<typename _Tp> inline
......@@ -1796,7 +1803,7 @@ _Tp& Mat_<_Tp>::operator ()(int i0, int i1)
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)i1 < (unsigned)size.p[1]);
CV_DbgAssert(type() == DataType<_Tp>::type);
CV_DbgAssert(type() == traits::Type<_Tp>::value);
return ((_Tp*)(data + step.p[0] * i0))[i1];
}
......@@ -1807,7 +1814,7 @@ const _Tp& Mat_<_Tp>::operator ()(int i0, int i1) const
CV_DbgAssert(data);
CV_DbgAssert((unsigned)i0 < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)i1 < (unsigned)size.p[1]);
CV_DbgAssert(type() == DataType<_Tp>::type);
CV_DbgAssert(type() == traits::Type<_Tp>::value);
return ((const _Tp*)(data + step.p[0] * i0))[i1];
}
......@@ -1818,7 +1825,7 @@ _Tp& Mat_<_Tp>::operator ()(Point pt)
CV_DbgAssert(data);
CV_DbgAssert((unsigned)pt.y < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)pt.x < (unsigned)size.p[1]);
CV_DbgAssert(type() == DataType<_Tp>::type);
CV_DbgAssert(type() == traits::Type<_Tp>::value);
return ((_Tp*)(data + step.p[0] * pt.y))[pt.x];
}
......@@ -1829,7 +1836,7 @@ const _Tp& Mat_<_Tp>::operator ()(Point pt) const
CV_DbgAssert(data);
CV_DbgAssert((unsigned)pt.y < (unsigned)size.p[0]);
CV_DbgAssert((unsigned)pt.x < (unsigned)size.p[1]);
CV_DbgAssert(type() == DataType<_Tp>::type);
CV_DbgAssert(type() == traits::Type<_Tp>::value);
return ((const _Tp*)(data + step.p[0] * pt.y))[pt.x];
}
......@@ -1980,19 +1987,19 @@ template<typename _Tp> inline
Mat_<_Tp>::Mat_(Mat&& m)
: Mat()
{
flags = (flags & ~CV_MAT_TYPE_MASK) | DataType<_Tp>::type;
flags = (flags & ~CV_MAT_TYPE_MASK) | traits::Type<_Tp>::value;
*this = m;
}
template<typename _Tp> inline
Mat_<_Tp>& Mat_<_Tp>::operator = (Mat&& m)
{
if( DataType<_Tp>::type == m.type() )
if( traits::Type<_Tp>::value == m.type() )
{
Mat::operator = ((Mat&&)m);
return *this;
}
if( DataType<_Tp>::depth == m.depth() )
if( traits::Depth<_Tp>::value == m.depth() )
{
Mat::operator = ((Mat&&)m.reshape(DataType<_Tp>::channels, m.dims, 0));
return *this;
......@@ -2006,7 +2013,7 @@ template<typename _Tp> inline
Mat_<_Tp>::Mat_(MatExpr&& e)
: Mat()
{
flags = (flags & ~CV_MAT_TYPE_MASK) | DataType<_Tp>::type;
flags = (flags & ~CV_MAT_TYPE_MASK) | traits::Type<_Tp>::value;
*this = Mat(e);
}
......@@ -2343,21 +2350,21 @@ SparseMatConstIterator_<_Tp> SparseMat::end() const
template<typename _Tp> inline
SparseMat_<_Tp>::SparseMat_()
{
flags = MAGIC_VAL | DataType<_Tp>::type;
flags = MAGIC_VAL | traits::Type<_Tp>::value;
}
template<typename _Tp> inline
SparseMat_<_Tp>::SparseMat_(int _dims, const int* _sizes)
: SparseMat(_dims, _sizes, DataType<_Tp>::type)
: SparseMat(_dims, _sizes, traits::Type<_Tp>::value)
{}
template<typename _Tp> inline
SparseMat_<_Tp>::SparseMat_(const SparseMat& m)
{
if( m.type() == DataType<_Tp>::type )
if( m.type() == traits::Type<_Tp>::value )
*this = (const SparseMat_<_Tp>&)m;
else
m.convertTo(*this, DataType<_Tp>::type);
m.convertTo(*this, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
......@@ -2392,9 +2399,9 @@ SparseMat_<_Tp>& SparseMat_<_Tp>::operator = (const SparseMat_<_Tp>& m)
template<typename _Tp> inline
SparseMat_<_Tp>& SparseMat_<_Tp>::operator = (const SparseMat& m)
{
if( m.type() == DataType<_Tp>::type )
if( m.type() == traits::Type<_Tp>::value )
return (*this = (const SparseMat_<_Tp>&)m);
m.convertTo(*this, DataType<_Tp>::type);
m.convertTo(*this, traits::Type<_Tp>::value);
return *this;
}
......@@ -2415,19 +2422,19 @@ SparseMat_<_Tp> SparseMat_<_Tp>::clone() const
template<typename _Tp> inline
void SparseMat_<_Tp>::create(int _dims, const int* _sizes)
{
SparseMat::create(_dims, _sizes, DataType<_Tp>::type);
SparseMat::create(_dims, _sizes, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
int SparseMat_<_Tp>::type() const
{
return DataType<_Tp>::type;
return traits::Type<_Tp>::value;
}
template<typename _Tp> inline
int SparseMat_<_Tp>::depth() const
{
return DataType<_Tp>::depth;
return traits::Depth<_Tp>::value;
}
template<typename _Tp> inline
......@@ -3128,7 +3135,7 @@ template<typename _Tp> inline
SparseMatConstIterator_<_Tp>::SparseMatConstIterator_(const SparseMat* _m)
: SparseMatConstIterator(_m)
{
CV_Assert( _m->type() == DataType<_Tp>::type );
CV_Assert( _m->type() == traits::Type<_Tp>::value );
}
template<typename _Tp> inline
......@@ -3264,50 +3271,50 @@ Mat& Mat::operator = (const MatExpr& e)
template<typename _Tp> inline
Mat_<_Tp>::Mat_(const MatExpr& e)
{
e.op->assign(e, *this, DataType<_Tp>::type);
e.op->assign(e, *this, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
Mat_<_Tp>& Mat_<_Tp>::operator = (const MatExpr& e)
{
e.op->assign(e, *this, DataType<_Tp>::type);
e.op->assign(e, *this, traits::Type<_Tp>::value);
return *this;
}
template<typename _Tp> inline
MatExpr Mat_<_Tp>::zeros(int rows, int cols)
{
return Mat::zeros(rows, cols, DataType<_Tp>::type);
return Mat::zeros(rows, cols, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
MatExpr Mat_<_Tp>::zeros(Size sz)
{
return Mat::zeros(sz, DataType<_Tp>::type);
return Mat::zeros(sz, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
MatExpr Mat_<_Tp>::ones(int rows, int cols)
{
return Mat::ones(rows, cols, DataType<_Tp>::type);
return Mat::ones(rows, cols, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
MatExpr Mat_<_Tp>::ones(Size sz)
{
return Mat::ones(sz, DataType<_Tp>::type);
return Mat::ones(sz, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
MatExpr Mat_<_Tp>::eye(int rows, int cols)
{
return Mat::eye(rows, cols, DataType<_Tp>::type);
return Mat::eye(rows, cols, traits::Type<_Tp>::value);
}
template<typename _Tp> inline
MatExpr Mat_<_Tp>::eye(Size sz)
{
return Mat::eye(sz, DataType<_Tp>::type);
return Mat::eye(sz, traits::Type<_Tp>::value);
}
inline
......@@ -3333,7 +3340,7 @@ template<typename _Tp> inline
MatExpr::operator Mat_<_Tp>() const
{
Mat_<_Tp> m;
op->assign(*this, m, DataType<_Tp>::type);
op->assign(*this, m, traits::Type<_Tp>::value);
return m;
}
......@@ -3566,7 +3573,7 @@ UMat::UMat(const UMat& m)
template<typename _Tp> inline
UMat::UMat(const std::vector<_Tp>& vec, bool copyData)
: flags(MAGIC_VAL | DataType<_Tp>::type | CV_MAT_CONT_FLAG), dims(2), rows((int)vec.size()),
: flags(MAGIC_VAL | traits::Type<_Tp>::value | CV_MAT_CONT_FLAG), dims(2), rows((int)vec.size()),
cols(1), allocator(0), usageFlags(USAGE_DEFAULT), u(0), offset(0), size(&rows)
{
if(vec.empty())
......@@ -3577,7 +3584,7 @@ cols(1), allocator(0), usageFlags(USAGE_DEFAULT), u(0), offset(0), size(&rows)
CV_Error(Error::StsNotImplemented, "");
}
else
Mat((int)vec.size(), 1, DataType<_Tp>::type, (uchar*)&vec[0]).copyTo(*this);
Mat((int)vec.size(), 1, traits::Type<_Tp>::value, (uchar*)&vec[0]).copyTo(*this);
}
inline
......
......@@ -100,11 +100,14 @@ In case if C++11 features are avaliable, std::initializer_list can be also used
template<typename _Tp, int m, int n> class Matx
{
public:
enum { depth = DataType<_Tp>::depth,
enum {
rows = m,
cols = n,
channels = rows*cols,
#ifdef OPENCV_TRAITS_ENABLE_DEPRECATED
depth = traits::Type<_Tp>::value,
type = CV_MAKETYPE(depth, channels),
#endif
shortdim = (m < n ? m : n)
};
......@@ -259,13 +262,23 @@ public:
typedef value_type vec_type;
enum { generic_type = 0,
depth = DataType<channel_type>::depth,
channels = m * n,
fmt = DataType<channel_type>::fmt + ((channels - 1) << 8),
type = CV_MAKETYPE(depth, channels)
fmt = traits::SafeFmt<channel_type>::fmt + ((channels - 1) << 8)
#ifdef OPENCV_TRAITS_ENABLE_DEPRECATED
,depth = DataType<channel_type>::depth
,type = CV_MAKETYPE(depth, channels)
#endif
};
};
namespace traits {
template<typename _Tp, int m, int n>
struct Depth< Matx<_Tp, m, n> > { enum { value = Depth<_Tp>::value }; };
template<typename _Tp, int m, int n>
struct Type< Matx<_Tp, m, n> > { enum { value = CV_MAKETYPE(Depth<_Tp>::value, n*m) }; };
} // namespace
/** @brief Comma-separated Matrix Initializer
*/
template<typename _Tp, int m, int n> class MatxCommaInitializer
......@@ -323,9 +336,13 @@ template<typename _Tp, int cn> class Vec : public Matx<_Tp, cn, 1>
{
public:
typedef _Tp value_type;
enum { depth = Matx<_Tp, cn, 1>::depth,
enum {
channels = cn,
type = CV_MAKETYPE(depth, channels)
#ifdef OPENCV_TRAITS_ENABLE_DEPRECATED
depth = Matx<_Tp, cn, 1>::depth,
type = CV_MAKETYPE(depth, channels),
#endif
_dummy_enum_finalizer = 0
};
//! default constructor
......@@ -422,13 +439,24 @@ public:
typedef value_type vec_type;
enum { generic_type = 0,
depth = DataType<channel_type>::depth,
channels = cn,
fmt = DataType<channel_type>::fmt + ((channels - 1) << 8),
type = CV_MAKETYPE(depth, channels)
#ifdef OPENCV_TRAITS_ENABLE_DEPRECATED
depth = DataType<channel_type>::depth,
type = CV_MAKETYPE(depth, channels),
#endif
_dummy_enum_finalizer = 0
};
};
namespace traits {
template<typename _Tp, int cn>
struct Depth< Vec<_Tp, cn> > { enum { value = Depth<_Tp>::value }; };
template<typename _Tp, int cn>
struct Type< Vec<_Tp, cn> > { enum { value = CV_MAKETYPE(Depth<_Tp>::value, cn) }; };
} // namespace
/** @brief Comma-separated Vec Initializer
*/
template<typename _Tp, int m> class VecCommaInitializer : public MatxCommaInitializer<_Tp, m, 1>
......
......@@ -815,7 +815,7 @@ namespace internal
VecWriterProxy( FileStorage* _fs ) : fs(_fs) {}
void operator()(const std::vector<_Tp>& vec) const
{
int _fmt = DataType<_Tp>::fmt;
int _fmt = traits::SafeFmt<_Tp>::fmt;
char fmt[] = { (char)((_fmt >> 8) + '1'), (char)_fmt, '\0' };
fs->writeRaw(fmt, !vec.empty() ? (uchar*)&vec[0] : 0, vec.size() * sizeof(_Tp));
}
......@@ -846,7 +846,7 @@ namespace internal
{
size_t remaining = it->remaining;
size_t cn = DataType<_Tp>::channels;
int _fmt = DataType<_Tp>::fmt;
int _fmt = traits::SafeFmt<_Tp>::fmt;
char fmt[] = { (char)((_fmt >> 8)+'1'), (char)_fmt, '\0' };
size_t remaining1 = remaining / cn;
count = count < remaining1 ? count : remaining1;
......@@ -999,7 +999,7 @@ void write( FileStorage& fs, const std::vector<DMatch>& vec )
template<typename _Tp> static inline
void write( FileStorage& fs, const std::vector<_Tp>& vec )
{
cv::internal::VecWriterProxy<_Tp, DataType<_Tp>::fmt != 0> w(&fs);
cv::internal::VecWriterProxy<_Tp, traits::SafeFmt<_Tp>::fmt != 0> w(&fs);
w(vec);
}
......@@ -1076,7 +1076,7 @@ void write(FileStorage& fs, const String& name, const DMatch& r )
template<typename _Tp> static inline
void write( FileStorage& fs, const String& name, const std::vector<_Tp>& vec )
{
cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+(DataType<_Tp>::fmt != 0 ? FileNode::FLOW : 0));
cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ+(traits::SafeFmt<_Tp>::fmt != 0 ? FileNode::FLOW : 0));
write(fs, vec);
}
......@@ -1086,7 +1086,7 @@ void write( FileStorage& fs, const String& name, const std::vector< std::vector<
cv::internal::WriteStructContext ws(fs, name, FileNode::SEQ);
for(size_t i = 0; i < vec.size(); i++)
{
cv::internal::WriteStructContext ws_(fs, name, FileNode::SEQ+(DataType<_Tp>::fmt != 0 ? FileNode::FLOW : 0));
cv::internal::WriteStructContext ws_(fs, name, FileNode::SEQ+(traits::SafeFmt<_Tp>::fmt != 0 ? FileNode::FLOW : 0));
write(fs, vec[i]);
}
}
......@@ -1139,7 +1139,7 @@ void read(const FileNode& node, short& value, short default_value)
template<typename _Tp> static inline
void read( FileNodeIterator& it, std::vector<_Tp>& vec, size_t maxCount = (size_t)INT_MAX )
{
cv::internal::VecReaderProxy<_Tp, DataType<_Tp>::fmt != 0> r(&it);
cv::internal::VecReaderProxy<_Tp, traits::SafeFmt<_Tp>::fmt != 0> r(&it);
r(vec, maxCount);
}
......@@ -1228,7 +1228,7 @@ FileNodeIterator& operator >> (FileNodeIterator& it, _Tp& value)
template<typename _Tp> static inline
FileNodeIterator& operator >> (FileNodeIterator& it, std::vector<_Tp>& vec)
{
cv::internal::VecReaderProxy<_Tp, DataType<_Tp>::fmt != 0> r(&it);
cv::internal::VecReaderProxy<_Tp, traits::SafeFmt<_Tp>::fmt != 0> r(&it);
r(vec, (size_t)INT_MAX);
return it;
}
......
......@@ -49,11 +49,15 @@
namespace cv
{
//#define OPENCV_TRAITS_ENABLE_DEPRECATED
//! @addtogroup core_basic
//! @{
/** @brief Template "trait" class for OpenCV primitive data types.
@note Deprecated. This is replaced by "single purpose" traits: traits::Type and traits::Depth
A primitive OpenCV data type is one of unsigned char, bool, signed char, unsigned short, signed
short, int, float, double, or a tuple of values of one of these types, where all the values in the
tuple have the same type. Any primitive type from the list can be defined by an identifier in the
......@@ -102,10 +106,13 @@ So, such traits are used to tell OpenCV which data type you are working with, ev
not native to OpenCV. For example, the matrix B initialization above is compiled because OpenCV
defines the proper specialized template class DataType\<complex\<_Tp\> \> . This mechanism is also
useful (and used in OpenCV this way) for generic algorithms implementations.
@note Default values were dropped to stop confusing developers about using of unsupported types (see #7599)
*/
template<typename _Tp> class DataType
{
public:
#ifdef OPENCV_TRAITS_ENABLE_DEPRECATED
typedef _Tp value_type;
typedef value_type work_type;
typedef value_type channel_type;
......@@ -116,6 +123,7 @@ public:
fmt = 0,
type = CV_MAKETYPE(depth, channels)
};
#endif
};
template<> class DataType<bool>
......@@ -270,11 +278,14 @@ public:
};
#ifdef OPENCV_TRAITS_ENABLE_DEPRECATED
template<int _depth> class TypeDepth
{
#ifdef OPENCV_TRAITS_ENABLE_LEGACY_DEFAULTS
enum { depth = CV_USRTYPE1 };
typedef void value_type;
#endif
};
template<> class TypeDepth<CV_8U>
......@@ -319,8 +330,68 @@ template<> class TypeDepth<CV_64F>
typedef double value_type;
};
#endif
//! @}
namespace traits {
namespace internal {
#define CV_CREATE_MEMBER_CHECK(X) \
template<typename T> class CheckMember_##X { \
struct Fallback { int X; }; \
struct Derived : T, Fallback { }; \
template<typename U, U> struct Check; \
typedef char CV_NO[1]; \
typedef char CV_YES[2]; \
template<typename U> static CV_NO & func(Check<int Fallback::*, &U::X> *); \
template<typename U> static CV_YES & func(...); \
public: \
typedef CheckMember_##X type; \
enum { value = sizeof(func<Derived>(0)) == sizeof(CV_YES) }; \
};
CV_CREATE_MEMBER_CHECK(fmt)
CV_CREATE_MEMBER_CHECK(type)
} // namespace internal
template<typename T>
struct Depth
{ enum { value = DataType<T>::depth }; };
template<typename T>
struct Type
{ enum { value = DataType<T>::type }; };
/** Similar to traits::Type<T> but has value = -1 in case of unknown type (instead of compiler error) */
template<typename T, bool available = internal::CheckMember_type< DataType<T> >::value >
struct SafeType {};
template<typename T>
struct SafeType<T, false>
{ enum { value = -1 }; };
template<typename T>
struct SafeType<T, true>
{ enum { value = Type<T>::value }; };
template<typename T, bool available = internal::CheckMember_fmt< DataType<T> >::value >
struct SafeFmt {};
template<typename T>
struct SafeFmt<T, false>
{ enum { fmt = 0 }; };
template<typename T>
struct SafeFmt<T, true>
{ enum { fmt = DataType<T>::fmt }; };
} // namespace
} // cv
#endif // OPENCV_CORE_TRAITS_HPP
......@@ -105,7 +105,7 @@ CV_OperationsTest::~CV_OperationsTest() {}
template<typename _Tp> void CV_OperationsTest::TestType(Size sz, _Tp value)
{
cv::Mat_<_Tp> m(sz);
CV_Assert(m.cols == sz.width && m.rows == sz.height && m.depth() == DataType<_Tp>::depth &&
CV_Assert(m.cols == sz.width && m.rows == sz.height && m.depth() == cv::traits::Depth<_Tp>::value &&
m.channels() == DataType<_Tp>::channels &&
m.elemSize() == sizeof(_Tp) && m.step == m.elemSize()*m.cols);
for( int y = 0; y < sz.height; y++ )
......
......@@ -1076,7 +1076,7 @@ template<typename _Tp> struct pyopencvVecConverter
int i, j, n = (int)PySequence_Fast_GET_SIZE(seq);
value.resize(n);
int type = DataType<_Tp>::type;
int type = traits::Type<_Tp>::value;
int depth = CV_MAT_DEPTH(type), channels = CV_MAT_CN(type);
PyObject** items = PySequence_Fast_ITEMS(seq);
......@@ -1159,7 +1159,9 @@ template<typename _Tp> struct pyopencvVecConverter
{
if(value.empty())
return PyTuple_New(0);
Mat src((int)value.size(), DataType<_Tp>::channels, DataType<_Tp>::depth, (uchar*)&value[0]);
int type = traits::Type<_Tp>::value;
int depth = CV_MAT_DEPTH(type), channels = CV_MAT_CN(type);
Mat src((int)value.size(), channels, depth, (uchar*)&value[0]);
return pyopencv_from(src);
}
};
......
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