| /external/opencv3/modules/core/include/opencv2/core/ |
| matx.hpp | 48 # error matx.hpp header must be compiled as C++
77 available. To do an operation on Matx that is not implemented, you can easily convert the matrix to
86 template<typename _Tp, int m, int n> class Matx
98 typedef Matx<_Tp, m, n> mat_type;
99 typedef Matx<_Tp, shortdim, 1> diag_type;
102 Matx();
104 Matx(_Tp v0); //!< 1x1 matrix
105 Matx(_Tp v0, _Tp v1); //!< 1x2 or 2x1 matrix
106 Matx(_Tp v0, _Tp v1, _Tp v2); //!< 1x3 or 3x1 matrix
107 Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3); //!< 1x4, 2x2 or 4x1 matri
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| operations.hpp | 59 ////////////////////////////// Matx methods depending on core API /////////////////////////////
66 bool operator()(const Matx<_Tp, m, m>& a, Matx<_Tp, m, m>& b, int method) const
68 Matx<_Tp, m, m> temp = a;
83 bool operator()(const Matx<_Tp, 2, 2>& a, Matx<_Tp, 2, 2>& b, int) const
99 bool operator()(const Matx<_Tp, 3, 3>& a, Matx<_Tp, 3, 3>& b, int) const
123 bool operator()(const Matx<_Tp, m, m>& a, const Matx<_Tp, m, n>& b
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| eigen.hpp | 79 // Matx case
82 Matx<_Tp, _rows, _cols>& dst )
86 dst = Matx<_Tp, _cols, _rows>(static_cast<const _Tp*>(src.data())).t();
90 dst = Matx<_Tp, _rows, _cols>(static_cast<const _Tp*>(src.data()));
121 // Matx case
123 void cv2eigen( const Matx<_Tp, _rows, _cols>& src,
167 // Matx case
169 void cv2eigen( const Matx<_Tp, _rows, _cols>& src,
211 // Matx case
213 void cv2eigen( const Matx<_Tp, _rows, 1>& src
[all...] |
| types.hpp | 57 #include "opencv2/core/matx.hpp"
[all...] |
| cvstd.inl.hpp | 201 std::ostream& operator << (std::ostream& out, const Matx<_Tp, m, n>& matx)
203 return out << Formatter::get()->format(Mat(matx));
|
| mat.hpp | 51 #include "opencv2/core/matx.hpp"
75 where _InputArray is a class that can be constructed from `Mat`, `Mat_<T>`, `Matx<T, m, n>`,
83 InputArray, it means that you can actually pass `Mat`, `Matx`, `vector<T>` etc. (see above the
105 vector using the 2x3 matrix created inline as `Matx<float, 2, 3>` instance.
157 MATX = 2 << KIND_SHIFT,
181 template<typename _Tp, int m, int n> _InputArray(const Matx<_Tp, m, n>& matx);
294 template<typename _Tp, int m, int n> _OutputArray(Matx<_Tp, m, n>& matx);
309 template<typename _Tp, int m, int n> _OutputArray(const Matx<_Tp, m, n>& matx)
[all...] |
| mat.inl.hpp | 93 _InputArray::_InputArray(const Matx<_Tp, m, n>& mtx)
94 { init(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type + ACCESS_READ, &mtx, Size(n, m)); }
98 { init(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type + ACCESS_READ, vec, Size(n, 1)); }
105 { init(FIXED_TYPE + FIXED_SIZE + MATX + CV_64F + ACCESS_READ, &val, Size(1,1)); }
132 inline bool _InputArray::isMatx() const { return kind() == _InputArray::MATX; }
164 _OutputArray::_OutputArray(Matx<_Tp, m, n>& mtx)
165 { init(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type + ACCESS_WRITE, &mtx, Size(n, m)); }
169 { init(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type + ACCESS_WRITE, vec, Size(n, 1)); }
188 _OutputArray::_OutputArray(const Matx<_Tp, m, n>& mtx)
189 { init(FIXED_TYPE + FIXED_SIZE + MATX + DataType<_Tp>::type + ACCESS_WRITE, &mtx, Size(n, m));
[all...] |
| affine.hpp | 65 typedef Matx<float_type, 3, 3> Mat3;
66 typedef Matx<float_type, 4, 4> Mat4;
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| base.hpp | 590 template<typename _Tp, int m, int n> class Matx;
|
| /external/opencv3/modules/core/include/opencv2/ |
| core.hpp | 57 #include "opencv2/core/matx.hpp"
[all...] |
| /external/opencv3/modules/calib3d/src/ |
| triangulate.cpp | 85 cv::Matx<double, 4, 4> matrA;
86 cv::Matx<double, 4, 4> matrU;
87 cv::Matx<double, 4, 1> matrW;
88 cv::Matx<double, 4, 4> matrV;
|
| homography_decomp.cpp | 142 typedef Matx<double, 1, 1> Matx11d;
|
| fisheye.cpp | 111 Matx<double, 3, 9> dRdom;
158 Matx33d dYdom_data = Matx<double, 3, 9>(dYdR) * dRdom.t();
[all...] |
| /external/opencv3/modules/imgproc/test/ |
| test_imgwarp.cpp | [all...] |
