mirror of
https://github.com/opencv/opencv.git
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Move cv::Matx and cv::Vec to separate header
This commit is contained in:
Andrey Kamaev
parent
5e7ab8baf3
commit
d2192c0759
@ -53,6 +53,9 @@
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#ifdef __cplusplus
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#ifdef __cplusplus
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#include "opencv2/core/cvstd.hpp"
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#include "opencv2/core/cvstd.hpp"
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#include "opencv2/core/base.hpp"
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#include "opencv2/core/traits.hpp"
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#include "opencv2/core/matx.hpp"
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#include "opencv2/core/types.hpp"
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#include "opencv2/core/types.hpp"
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#ifndef SKIP_INCLUDES
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#ifndef SKIP_INCLUDES
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@ -72,45 +75,13 @@
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*/
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*/
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namespace cv {
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namespace cv {
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template<typename _Tp> class CV_EXPORTS Size_;
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template<typename _Tp> class CV_EXPORTS Point_;
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template<typename _Tp> class CV_EXPORTS Rect_;
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template<typename _Tp, int cn> class CV_EXPORTS Vec;
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template<typename _Tp, int m, int n> class CV_EXPORTS Matx;
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class Mat;
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class SparseMat;
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typedef Mat MatND;
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namespace ogl {
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class Buffer;
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class Texture2D;
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class Arrays;
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}
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namespace gpu {
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class GpuMat;
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}
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class CV_EXPORTS MatExpr;
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class CV_EXPORTS MatExpr;
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class CV_EXPORTS MatOp_Base;
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class CV_EXPORTS MatOp_Base;
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class CV_EXPORTS MatArg;
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class CV_EXPORTS MatArg;
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class CV_EXPORTS MatConstIterator;
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class CV_EXPORTS MatConstIterator;
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template<typename _Tp> class CV_EXPORTS Mat_;
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template<typename _Tp> class CV_EXPORTS MatIterator_;
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template<typename _Tp> class CV_EXPORTS MatConstIterator_;
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template<typename _Tp> class CV_EXPORTS MatCommaInitializer_;
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template<typename _Tp> class CV_EXPORTS MatCommaInitializer_;
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// matrix decomposition types
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enum { DECOMP_LU=0, DECOMP_SVD=1, DECOMP_EIG=2, DECOMP_CHOLESKY=3, DECOMP_QR=4, DECOMP_NORMAL=16 };
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enum { NORM_INF=1, NORM_L1=2, NORM_L2=4, NORM_L2SQR=5, NORM_HAMMING=6, NORM_HAMMING2=7, NORM_TYPE_MASK=7, NORM_RELATIVE=8, NORM_MINMAX=32 };
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enum { CMP_EQ=0, CMP_GT=1, CMP_GE=2, CMP_LT=3, CMP_LE=4, CMP_NE=5 };
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enum { GEMM_1_T=1, GEMM_2_T=2, GEMM_3_T=4 };
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enum { DFT_INVERSE=1, DFT_SCALE=2, DFT_ROWS=4, DFT_COMPLEX_OUTPUT=16, DFT_REAL_OUTPUT=32,
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DCT_INVERSE = DFT_INVERSE, DCT_ROWS=DFT_ROWS };
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/*!
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/*!
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The standard OpenCV exception class.
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The standard OpenCV exception class.
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Instances of the class are thrown by various functions and methods in the case of critical errors.
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Instances of the class are thrown by various functions and methods in the case of critical errors.
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@ -239,298 +210,9 @@ public:
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void destroy(pointer p) { p->~_Tp(); }
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void destroy(pointer p) { p->~_Tp(); }
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};
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};
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/////////////////////// Vec (used as element of multi-channel images /////////////////////
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////////////////////////////// Small Matrix ///////////////////////////
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/*!
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A short numerical vector.
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This template class represents short numerical vectors (of 1, 2, 3, 4 ... elements)
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on which you can perform basic arithmetical operations, access individual elements using [] operator etc.
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The vectors are allocated on stack, as opposite to std::valarray, std::vector, cv::Mat etc.,
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which elements are dynamically allocated in the heap.
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The template takes 2 parameters:
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-# _Tp element type
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-# cn the number of elements
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In addition to the universal notation like Vec<float, 3>, you can use shorter aliases
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for the most popular specialized variants of Vec, e.g. Vec3f ~ Vec<float, 3>.
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*/
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struct CV_EXPORTS Matx_AddOp {};
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struct CV_EXPORTS Matx_SubOp {};
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struct CV_EXPORTS Matx_ScaleOp {};
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struct CV_EXPORTS Matx_MulOp {};
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struct CV_EXPORTS Matx_MatMulOp {};
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struct CV_EXPORTS Matx_TOp {};
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template<typename _Tp, int m, int n> class CV_EXPORTS Matx
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{
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public:
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typedef _Tp value_type;
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typedef Matx<_Tp, (m < n ? m : n), 1> diag_type;
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typedef Matx<_Tp, m, n> mat_type;
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enum { depth = DataDepth<_Tp>::value, rows = m, cols = n, channels = rows*cols,
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type = CV_MAKETYPE(depth, channels) };
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//! default constructor
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Matx();
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Matx(_Tp v0); //!< 1x1 matrix
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Matx(_Tp v0, _Tp v1); //!< 1x2 or 2x1 matrix
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Matx(_Tp v0, _Tp v1, _Tp v2); //!< 1x3 or 3x1 matrix
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Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3); //!< 1x4, 2x2 or 4x1 matrix
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Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4); //!< 1x5 or 5x1 matrix
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Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5); //!< 1x6, 2x3, 3x2 or 6x1 matrix
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Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6); //!< 1x7 or 7x1 matrix
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Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7); //!< 1x8, 2x4, 4x2 or 8x1 matrix
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Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8); //!< 1x9, 3x3 or 9x1 matrix
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Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9); //!< 1x10, 2x5 or 5x2 or 10x1 matrix
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Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3,
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_Tp v4, _Tp v5, _Tp v6, _Tp v7,
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_Tp v8, _Tp v9, _Tp v10, _Tp v11); //!< 1x12, 2x6, 3x4, 4x3, 6x2 or 12x1 matrix
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Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3,
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_Tp v4, _Tp v5, _Tp v6, _Tp v7,
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_Tp v8, _Tp v9, _Tp v10, _Tp v11,
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_Tp v12, _Tp v13, _Tp v14, _Tp v15); //!< 1x16, 4x4 or 16x1 matrix
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explicit Matx(const _Tp* vals); //!< initialize from a plain array
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static Matx all(_Tp alpha);
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static Matx zeros();
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static Matx ones();
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static Matx eye();
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static Matx diag(const diag_type& d);
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static Matx randu(_Tp a, _Tp b);
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static Matx randn(_Tp a, _Tp b);
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//! dot product computed with the default precision
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_Tp dot(const Matx<_Tp, m, n>& v) const;
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//! dot product computed in double-precision arithmetics
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double ddot(const Matx<_Tp, m, n>& v) const;
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//! convertion to another data type
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template<typename T2> operator Matx<T2, m, n>() const;
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//! change the matrix shape
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template<int m1, int n1> Matx<_Tp, m1, n1> reshape() const;
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//! extract part of the matrix
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template<int m1, int n1> Matx<_Tp, m1, n1> get_minor(int i, int j) const;
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//! extract the matrix row
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Matx<_Tp, 1, n> row(int i) const;
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//! extract the matrix column
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Matx<_Tp, m, 1> col(int i) const;
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//! extract the matrix diagonal
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diag_type diag() const;
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//! transpose the matrix
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Matx<_Tp, n, m> t() const;
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//! invert matrix the matrix
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Matx<_Tp, n, m> inv(int method=DECOMP_LU) const;
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//! solve linear system
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template<int l> Matx<_Tp, n, l> solve(const Matx<_Tp, m, l>& rhs, int flags=DECOMP_LU) const;
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Vec<_Tp, n> solve(const Vec<_Tp, m>& rhs, int method) const;
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//! multiply two matrices element-wise
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Matx<_Tp, m, n> mul(const Matx<_Tp, m, n>& a) const;
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//! element access
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const _Tp& operator ()(int i, int j) const;
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_Tp& operator ()(int i, int j);
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//! 1D element access
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const _Tp& operator ()(int i) const;
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_Tp& operator ()(int i);
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Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_AddOp);
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Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_SubOp);
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template<typename _T2> Matx(const Matx<_Tp, m, n>& a, _T2 alpha, Matx_ScaleOp);
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Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_MulOp);
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template<int l> Matx(const Matx<_Tp, m, l>& a, const Matx<_Tp, l, n>& b, Matx_MatMulOp);
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Matx(const Matx<_Tp, n, m>& a, Matx_TOp);
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_Tp val[m*n]; //< matrix elements
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};
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typedef Matx<float, 1, 2> Matx12f;
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typedef Matx<double, 1, 2> Matx12d;
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typedef Matx<float, 1, 3> Matx13f;
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typedef Matx<double, 1, 3> Matx13d;
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typedef Matx<float, 1, 4> Matx14f;
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typedef Matx<double, 1, 4> Matx14d;
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typedef Matx<float, 1, 6> Matx16f;
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typedef Matx<double, 1, 6> Matx16d;
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typedef Matx<float, 2, 1> Matx21f;
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typedef Matx<double, 2, 1> Matx21d;
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typedef Matx<float, 3, 1> Matx31f;
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typedef Matx<double, 3, 1> Matx31d;
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typedef Matx<float, 4, 1> Matx41f;
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typedef Matx<double, 4, 1> Matx41d;
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typedef Matx<float, 6, 1> Matx61f;
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typedef Matx<double, 6, 1> Matx61d;
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typedef Matx<float, 2, 2> Matx22f;
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typedef Matx<double, 2, 2> Matx22d;
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typedef Matx<float, 2, 3> Matx23f;
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typedef Matx<double, 2, 3> Matx23d;
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typedef Matx<float, 3, 2> Matx32f;
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typedef Matx<double, 3, 2> Matx32d;
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typedef Matx<float, 3, 3> Matx33f;
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typedef Matx<double, 3, 3> Matx33d;
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typedef Matx<float, 3, 4> Matx34f;
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typedef Matx<double, 3, 4> Matx34d;
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typedef Matx<float, 4, 3> Matx43f;
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typedef Matx<double, 4, 3> Matx43d;
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typedef Matx<float, 4, 4> Matx44f;
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typedef Matx<double, 4, 4> Matx44d;
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typedef Matx<float, 6, 6> Matx66f;
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typedef Matx<double, 6, 6> Matx66d;
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/*!
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A short numerical vector.
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This template class represents short numerical vectors (of 1, 2, 3, 4 ... elements)
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on which you can perform basic arithmetical operations, access individual elements using [] operator etc.
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The vectors are allocated on stack, as opposite to std::valarray, std::vector, cv::Mat etc.,
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which elements are dynamically allocated in the heap.
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The template takes 2 parameters:
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-# _Tp element type
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-# cn the number of elements
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In addition to the universal notation like Vec<float, 3>, you can use shorter aliases
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for the most popular specialized variants of Vec, e.g. Vec3f ~ Vec<float, 3>.
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*/
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template<typename _Tp, int cn> class CV_EXPORTS Vec : public Matx<_Tp, cn, 1>
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{
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public:
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typedef _Tp value_type;
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enum { depth = DataDepth<_Tp>::value, channels = cn, type = CV_MAKETYPE(depth, channels) };
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//! default constructor
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Vec();
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Vec(_Tp v0); //!< 1-element vector constructor
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Vec(_Tp v0, _Tp v1); //!< 2-element vector constructor
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Vec(_Tp v0, _Tp v1, _Tp v2); //!< 3-element vector constructor
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Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3); //!< 4-element vector constructor
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Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4); //!< 5-element vector constructor
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Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5); //!< 6-element vector constructor
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Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6); //!< 7-element vector constructor
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Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7); //!< 8-element vector constructor
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Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8); //!< 9-element vector constructor
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Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9); //!< 10-element vector constructor
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explicit Vec(const _Tp* values);
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Vec(const Vec<_Tp, cn>& v);
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static Vec all(_Tp alpha);
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//! per-element multiplication
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Vec mul(const Vec<_Tp, cn>& v) const;
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//! conjugation (makes sense for complex numbers and quaternions)
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Vec conj() const;
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/*!
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cross product of the two 3D vectors.
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For other dimensionalities the exception is raised
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*/
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Vec cross(const Vec& v) const;
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//! convertion to another data type
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template<typename T2> operator Vec<T2, cn>() const;
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/*! element access */
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const _Tp& operator [](int i) const;
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_Tp& operator[](int i);
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const _Tp& operator ()(int i) const;
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_Tp& operator ()(int i);
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Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_AddOp);
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Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_SubOp);
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template<typename _T2> Vec(const Matx<_Tp, cn, 1>& a, _T2 alpha, Matx_ScaleOp);
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};
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/* \typedef
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Shorter aliases for the most popular specializations of Vec<T,n>
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*/
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typedef Vec<uchar, 2> Vec2b;
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typedef Vec<uchar, 3> Vec3b;
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typedef Vec<uchar, 4> Vec4b;
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typedef Vec<short, 2> Vec2s;
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typedef Vec<short, 3> Vec3s;
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typedef Vec<short, 4> Vec4s;
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typedef Vec<ushort, 2> Vec2w;
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typedef Vec<ushort, 3> Vec3w;
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typedef Vec<ushort, 4> Vec4w;
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typedef Vec<int, 2> Vec2i;
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typedef Vec<int, 3> Vec3i;
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typedef Vec<int, 4> Vec4i;
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typedef Vec<int, 6> Vec6i;
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typedef Vec<int, 8> Vec8i;
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typedef Vec<float, 2> Vec2f;
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typedef Vec<float, 3> Vec3f;
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typedef Vec<float, 4> Vec4f;
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typedef Vec<float, 6> Vec6f;
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typedef Vec<double, 2> Vec2d;
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typedef Vec<double, 3> Vec3d;
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typedef Vec<double, 4> Vec4d;
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typedef Vec<double, 6> Vec6d;
|
|
||||||
|
|
||||||
|
|
||||||
CV_EXPORTS void scalarToRawData(const Scalar& s, void* buf, int type, int unroll_to=0);
|
CV_EXPORTS void scalarToRawData(const Scalar& s, void* buf, int type, int unroll_to=0);
|
||||||
|
|
||||||
|
|
||||||
/////////////////////////////// DataType ////////////////////////////////
|
|
||||||
|
|
||||||
template<typename _Tp, int m, int n> class DataType<Matx<_Tp, m, n> >
|
|
||||||
{
|
|
||||||
public:
|
|
||||||
typedef Matx<_Tp, m, n> value_type;
|
|
||||||
typedef Matx<typename DataType<_Tp>::work_type, m, n> work_type;
|
|
||||||
typedef _Tp channel_type;
|
|
||||||
typedef value_type vec_type;
|
|
||||||
enum { generic_type = 0, depth = DataDepth<channel_type>::value, channels = m*n,
|
|
||||||
fmt = ((channels-1)<<8) + DataDepth<channel_type>::fmt,
|
|
||||||
type = CV_MAKETYPE(depth, channels) };
|
|
||||||
};
|
|
||||||
|
|
||||||
template<typename _Tp, int cn> class DataType<Vec<_Tp, cn> >
|
|
||||||
{
|
|
||||||
public:
|
|
||||||
typedef Vec<_Tp, cn> value_type;
|
|
||||||
typedef Vec<typename DataType<_Tp>::work_type, cn> work_type;
|
|
||||||
typedef _Tp channel_type;
|
|
||||||
typedef value_type vec_type;
|
|
||||||
enum { generic_type = 0, depth = DataDepth<channel_type>::value, channels = cn,
|
|
||||||
fmt = ((channels-1)<<8) + DataDepth<channel_type>::fmt,
|
|
||||||
type = CV_MAKETYPE(depth, channels) };
|
|
||||||
};
|
|
||||||
|
|
||||||
|
|
||||||
//////////////////// generic_type ref-counting pointer class for C/C++ objects ////////////////////////
|
//////////////////// generic_type ref-counting pointer class for C/C++ objects ////////////////////////
|
||||||
|
|
||||||
/*!
|
/*!
|
||||||
|
|||||||
187
modules/core/include/opencv2/core/base.hpp
Normal file
187
modules/core/include/opencv2/core/base.hpp
Normal file
@ -0,0 +1,187 @@
|
|||||||
|
/*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.
|
||||||
|
// 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_BASE_HPP__
|
||||||
|
#define __OPENCV_CORE_BASE_HPP__
|
||||||
|
|
||||||
|
#include "opencv2/core/cvdef.h"
|
||||||
|
|
||||||
|
namespace cv
|
||||||
|
{
|
||||||
|
|
||||||
|
// matrix decomposition types
|
||||||
|
enum { DECOMP_LU = 0,
|
||||||
|
DECOMP_SVD = 1,
|
||||||
|
DECOMP_EIG = 2,
|
||||||
|
DECOMP_CHOLESKY = 3,
|
||||||
|
DECOMP_QR = 4,
|
||||||
|
DECOMP_NORMAL = 16
|
||||||
|
};
|
||||||
|
|
||||||
|
// norm types
|
||||||
|
enum { NORM_INF = 1,
|
||||||
|
NORM_L1 = 2,
|
||||||
|
NORM_L2 = 4,
|
||||||
|
NORM_L2SQR = 5,
|
||||||
|
NORM_HAMMING = 6,
|
||||||
|
NORM_HAMMING2 = 7,
|
||||||
|
NORM_TYPE_MASK = 7,
|
||||||
|
NORM_RELATIVE = 8,
|
||||||
|
NORM_MINMAX = 32
|
||||||
|
};
|
||||||
|
|
||||||
|
// comparison types
|
||||||
|
enum { CMP_EQ = 0,
|
||||||
|
CMP_GT = 1,
|
||||||
|
CMP_GE = 2,
|
||||||
|
CMP_LT = 3,
|
||||||
|
CMP_LE = 4,
|
||||||
|
CMP_NE = 5
|
||||||
|
};
|
||||||
|
|
||||||
|
enum { GEMM_1_T = 1,
|
||||||
|
GEMM_2_T = 2,
|
||||||
|
GEMM_3_T = 4
|
||||||
|
};
|
||||||
|
|
||||||
|
enum { DFT_INVERSE = 1,
|
||||||
|
DFT_SCALE = 2,
|
||||||
|
DFT_ROWS = 4,
|
||||||
|
DFT_COMPLEX_OUTPUT = 16,
|
||||||
|
DFT_REAL_OUTPUT = 32,
|
||||||
|
DCT_INVERSE = DFT_INVERSE,
|
||||||
|
DCT_ROWS = DFT_ROWS
|
||||||
|
};
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
/////////////// saturate_cast (used in image & signal processing) ///////////////////
|
||||||
|
|
||||||
|
template<typename _Tp> static inline _Tp saturate_cast(uchar v) { return _Tp(v); }
|
||||||
|
template<typename _Tp> static inline _Tp saturate_cast(schar v) { return _Tp(v); }
|
||||||
|
template<typename _Tp> static inline _Tp saturate_cast(ushort v) { return _Tp(v); }
|
||||||
|
template<typename _Tp> static inline _Tp saturate_cast(short v) { return _Tp(v); }
|
||||||
|
template<typename _Tp> static inline _Tp saturate_cast(unsigned v) { return _Tp(v); }
|
||||||
|
template<typename _Tp> static inline _Tp saturate_cast(int v) { return _Tp(v); }
|
||||||
|
template<typename _Tp> static inline _Tp saturate_cast(float v) { return _Tp(v); }
|
||||||
|
template<typename _Tp> static inline _Tp saturate_cast(double v) { return _Tp(v); }
|
||||||
|
|
||||||
|
template<> inline uchar saturate_cast<uchar>(schar v) { return (uchar)std::max((int)v, 0); }
|
||||||
|
template<> inline uchar saturate_cast<uchar>(ushort v) { return (uchar)std::min((unsigned)v, (unsigned)UCHAR_MAX); }
|
||||||
|
template<> inline uchar saturate_cast<uchar>(int v) { return (uchar)((unsigned)v <= UCHAR_MAX ? v : v > 0 ? UCHAR_MAX : 0); }
|
||||||
|
template<> inline uchar saturate_cast<uchar>(short v) { return saturate_cast<uchar>((int)v); }
|
||||||
|
template<> inline uchar saturate_cast<uchar>(unsigned v) { return (uchar)std::min(v, (unsigned)UCHAR_MAX); }
|
||||||
|
template<> inline uchar saturate_cast<uchar>(float v) { int iv = cvRound(v); return saturate_cast<uchar>(iv); }
|
||||||
|
template<> inline uchar saturate_cast<uchar>(double v) { int iv = cvRound(v); return saturate_cast<uchar>(iv); }
|
||||||
|
|
||||||
|
template<> inline schar saturate_cast<schar>(uchar v) { return (schar)std::min((int)v, SCHAR_MAX); }
|
||||||
|
template<> inline schar saturate_cast<schar>(ushort v) { return (schar)std::min((unsigned)v, (unsigned)SCHAR_MAX); }
|
||||||
|
template<> inline schar saturate_cast<schar>(int v) { return (schar)((unsigned)(v-SCHAR_MIN) <= (unsigned)UCHAR_MAX ? v : v > 0 ? SCHAR_MAX : SCHAR_MIN); }
|
||||||
|
template<> inline schar saturate_cast<schar>(short v) { return saturate_cast<schar>((int)v); }
|
||||||
|
template<> inline schar saturate_cast<schar>(unsigned v) { return (schar)std::min(v, (unsigned)SCHAR_MAX); }
|
||||||
|
template<> inline schar saturate_cast<schar>(float v) { int iv = cvRound(v); return saturate_cast<schar>(iv); }
|
||||||
|
template<> inline schar saturate_cast<schar>(double v) { int iv = cvRound(v); return saturate_cast<schar>(iv); }
|
||||||
|
|
||||||
|
template<> inline ushort saturate_cast<ushort>(schar v) { return (ushort)std::max((int)v, 0); }
|
||||||
|
template<> inline ushort saturate_cast<ushort>(short v) { return (ushort)std::max((int)v, 0); }
|
||||||
|
template<> inline ushort saturate_cast<ushort>(int v) { return (ushort)((unsigned)v <= (unsigned)USHRT_MAX ? v : v > 0 ? USHRT_MAX : 0); }
|
||||||
|
template<> inline ushort saturate_cast<ushort>(unsigned v) { return (ushort)std::min(v, (unsigned)USHRT_MAX); }
|
||||||
|
template<> inline ushort saturate_cast<ushort>(float v) { int iv = cvRound(v); return saturate_cast<ushort>(iv); }
|
||||||
|
template<> inline ushort saturate_cast<ushort>(double v) { int iv = cvRound(v); return saturate_cast<ushort>(iv); }
|
||||||
|
|
||||||
|
template<> inline short saturate_cast<short>(ushort v) { return (short)std::min((int)v, SHRT_MAX); }
|
||||||
|
template<> inline short saturate_cast<short>(int v) { return (short)((unsigned)(v - SHRT_MIN) <= (unsigned)USHRT_MAX ? v : v > 0 ? SHRT_MAX : SHRT_MIN); }
|
||||||
|
template<> inline short saturate_cast<short>(unsigned v) { return (short)std::min(v, (unsigned)SHRT_MAX); }
|
||||||
|
template<> inline short saturate_cast<short>(float v) { int iv = cvRound(v); return saturate_cast<short>(iv); }
|
||||||
|
template<> inline short saturate_cast<short>(double v) { int iv = cvRound(v); return saturate_cast<short>(iv); }
|
||||||
|
|
||||||
|
template<> inline int saturate_cast<int>(float v) { return cvRound(v); }
|
||||||
|
template<> inline int saturate_cast<int>(double v) { return cvRound(v); }
|
||||||
|
|
||||||
|
// we intentionally do not clip negative numbers, to make -1 become 0xffffffff etc.
|
||||||
|
template<> inline unsigned saturate_cast<unsigned>(float v) { return cvRound(v); }
|
||||||
|
template<> inline unsigned saturate_cast<unsigned>(double v) { return cvRound(v); }
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
////////////////// forward declarations for important OpenCV types //////////////////
|
||||||
|
|
||||||
|
template<typename _Tp, int cn> class CV_EXPORTS Vec;
|
||||||
|
template<typename _Tp, int m, int n> class CV_EXPORTS Matx;
|
||||||
|
|
||||||
|
template<typename _Tp> class CV_EXPORTS Complex;
|
||||||
|
template<typename _Tp> class CV_EXPORTS Point_;
|
||||||
|
template<typename _Tp> class CV_EXPORTS Point3_;
|
||||||
|
template<typename _Tp> class CV_EXPORTS Size_;
|
||||||
|
template<typename _Tp> class CV_EXPORTS Rect_;
|
||||||
|
template<typename _Tp> class CV_EXPORTS Scalar_;
|
||||||
|
|
||||||
|
class CV_EXPORTS RotatedRect;
|
||||||
|
class CV_EXPORTS Range;
|
||||||
|
class CV_EXPORTS TermCriteria;
|
||||||
|
class CV_EXPORTS KeyPoint;
|
||||||
|
class CV_EXPORTS DMatch;
|
||||||
|
|
||||||
|
class CV_EXPORTS Mat;
|
||||||
|
class CV_EXPORTS SparseMat;
|
||||||
|
typedef Mat MatND;
|
||||||
|
|
||||||
|
template<typename _Tp> class CV_EXPORTS Mat_;
|
||||||
|
template<typename _Tp> class CV_EXPORTS MatIterator_;
|
||||||
|
template<typename _Tp> class CV_EXPORTS MatConstIterator_;
|
||||||
|
|
||||||
|
namespace ogl
|
||||||
|
{
|
||||||
|
class CV_EXPORTS Buffer;
|
||||||
|
class CV_EXPORTS Texture2D;
|
||||||
|
class CV_EXPORTS Arrays;
|
||||||
|
}
|
||||||
|
|
||||||
|
namespace gpu
|
||||||
|
{
|
||||||
|
class CV_EXPORTS GpuMat;
|
||||||
|
}
|
||||||
|
|
||||||
|
} // cv
|
||||||
|
|
||||||
|
#endif //__OPENCV_CORE_BASE_HPP__
|
||||||
362
modules/core/include/opencv2/core/matx.hpp
Normal file
362
modules/core/include/opencv2/core/matx.hpp
Normal file
@ -0,0 +1,362 @@
|
|||||||
|
/*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.
|
||||||
|
// 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_MATX_HPP__
|
||||||
|
#define __OPENCV_CORE_MATX_HPP__
|
||||||
|
|
||||||
|
#include "opencv2/core/cvdef.h"
|
||||||
|
#include "opencv2/core/base.hpp"
|
||||||
|
#include "opencv2/core/traits.hpp"
|
||||||
|
|
||||||
|
namespace cv
|
||||||
|
{
|
||||||
|
|
||||||
|
////////////////////////////// Small Matrix ///////////////////////////
|
||||||
|
|
||||||
|
/*!
|
||||||
|
A short numerical vector.
|
||||||
|
|
||||||
|
This template class represents short numerical vectors (of 1, 2, 3, 4 ... elements)
|
||||||
|
on which you can perform basic arithmetical operations, access individual elements using [] operator etc.
|
||||||
|
The vectors are allocated on stack, as opposite to std::valarray, std::vector, cv::Mat etc.,
|
||||||
|
which elements are dynamically allocated in the heap.
|
||||||
|
|
||||||
|
The template takes 2 parameters:
|
||||||
|
-# _Tp element type
|
||||||
|
-# cn the number of elements
|
||||||
|
|
||||||
|
In addition to the universal notation like Vec<float, 3>, you can use shorter aliases
|
||||||
|
for the most popular specialized variants of Vec, e.g. Vec3f ~ Vec<float, 3>.
|
||||||
|
*/
|
||||||
|
|
||||||
|
struct CV_EXPORTS Matx_AddOp {};
|
||||||
|
struct CV_EXPORTS Matx_SubOp {};
|
||||||
|
struct CV_EXPORTS Matx_ScaleOp {};
|
||||||
|
struct CV_EXPORTS Matx_MulOp {};
|
||||||
|
struct CV_EXPORTS Matx_MatMulOp {};
|
||||||
|
struct CV_EXPORTS Matx_TOp {};
|
||||||
|
|
||||||
|
template<typename _Tp, int m, int n> class CV_EXPORTS Matx
|
||||||
|
{
|
||||||
|
public:
|
||||||
|
typedef _Tp value_type;
|
||||||
|
typedef Matx<_Tp, (m < n ? m : n), 1> diag_type;
|
||||||
|
typedef Matx<_Tp, m, n> mat_type;
|
||||||
|
enum { depth = DataType<_Tp>::depth,
|
||||||
|
rows = m,
|
||||||
|
cols = n,
|
||||||
|
channels = rows*cols,
|
||||||
|
type = CV_MAKETYPE(depth, channels)
|
||||||
|
};
|
||||||
|
|
||||||
|
//! default constructor
|
||||||
|
Matx();
|
||||||
|
|
||||||
|
Matx(_Tp v0); //!< 1x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1); //!< 1x2 or 2x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1, _Tp v2); //!< 1x3 or 3x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3); //!< 1x4, 2x2 or 4x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4); //!< 1x5 or 5x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5); //!< 1x6, 2x3, 3x2 or 6x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6); //!< 1x7 or 7x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7); //!< 1x8, 2x4, 4x2 or 8x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8); //!< 1x9, 3x3 or 9x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9); //!< 1x10, 2x5 or 5x2 or 10x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3,
|
||||||
|
_Tp v4, _Tp v5, _Tp v6, _Tp v7,
|
||||||
|
_Tp v8, _Tp v9, _Tp v10, _Tp v11); //!< 1x12, 2x6, 3x4, 4x3, 6x2 or 12x1 matrix
|
||||||
|
Matx(_Tp v0, _Tp v1, _Tp v2, _Tp v3,
|
||||||
|
_Tp v4, _Tp v5, _Tp v6, _Tp v7,
|
||||||
|
_Tp v8, _Tp v9, _Tp v10, _Tp v11,
|
||||||
|
_Tp v12, _Tp v13, _Tp v14, _Tp v15); //!< 1x16, 4x4 or 16x1 matrix
|
||||||
|
explicit Matx(const _Tp* vals); //!< initialize from a plain array
|
||||||
|
|
||||||
|
static Matx all(_Tp alpha);
|
||||||
|
static Matx zeros();
|
||||||
|
static Matx ones();
|
||||||
|
static Matx eye();
|
||||||
|
static Matx diag(const diag_type& d);
|
||||||
|
static Matx randu(_Tp a, _Tp b);
|
||||||
|
static Matx randn(_Tp a, _Tp b);
|
||||||
|
|
||||||
|
//! dot product computed with the default precision
|
||||||
|
_Tp dot(const Matx<_Tp, m, n>& v) const;
|
||||||
|
|
||||||
|
//! dot product computed in double-precision arithmetics
|
||||||
|
double ddot(const Matx<_Tp, m, n>& v) const;
|
||||||
|
|
||||||
|
//! convertion to another data type
|
||||||
|
template<typename T2> operator Matx<T2, m, n>() const;
|
||||||
|
|
||||||
|
//! change the matrix shape
|
||||||
|
template<int m1, int n1> Matx<_Tp, m1, n1> reshape() const;
|
||||||
|
|
||||||
|
//! extract part of the matrix
|
||||||
|
template<int m1, int n1> Matx<_Tp, m1, n1> get_minor(int i, int j) const;
|
||||||
|
|
||||||
|
//! extract the matrix row
|
||||||
|
Matx<_Tp, 1, n> row(int i) const;
|
||||||
|
|
||||||
|
//! extract the matrix column
|
||||||
|
Matx<_Tp, m, 1> col(int i) const;
|
||||||
|
|
||||||
|
//! extract the matrix diagonal
|
||||||
|
diag_type diag() const;
|
||||||
|
|
||||||
|
//! transpose the matrix
|
||||||
|
Matx<_Tp, n, m> t() const;
|
||||||
|
|
||||||
|
//! invert matrix the matrix
|
||||||
|
Matx<_Tp, n, m> inv(int method=DECOMP_LU) const;
|
||||||
|
|
||||||
|
//! solve linear system
|
||||||
|
template<int l> Matx<_Tp, n, l> solve(const Matx<_Tp, m, l>& rhs, int flags=DECOMP_LU) const;
|
||||||
|
Vec<_Tp, n> solve(const Vec<_Tp, m>& rhs, int method) const;
|
||||||
|
|
||||||
|
//! multiply two matrices element-wise
|
||||||
|
Matx<_Tp, m, n> mul(const Matx<_Tp, m, n>& a) const;
|
||||||
|
|
||||||
|
//! element access
|
||||||
|
const _Tp& operator ()(int i, int j) const;
|
||||||
|
_Tp& operator ()(int i, int j);
|
||||||
|
|
||||||
|
//! 1D element access
|
||||||
|
const _Tp& operator ()(int i) const;
|
||||||
|
_Tp& operator ()(int i);
|
||||||
|
|
||||||
|
Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_AddOp);
|
||||||
|
Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_SubOp);
|
||||||
|
template<typename _T2> Matx(const Matx<_Tp, m, n>& a, _T2 alpha, Matx_ScaleOp);
|
||||||
|
Matx(const Matx<_Tp, m, n>& a, const Matx<_Tp, m, n>& b, Matx_MulOp);
|
||||||
|
template<int l> Matx(const Matx<_Tp, m, l>& a, const Matx<_Tp, l, n>& b, Matx_MatMulOp);
|
||||||
|
Matx(const Matx<_Tp, n, m>& a, Matx_TOp);
|
||||||
|
|
||||||
|
_Tp val[m*n]; //< matrix elements
|
||||||
|
};
|
||||||
|
|
||||||
|
/*!
|
||||||
|
\typedef
|
||||||
|
*/
|
||||||
|
typedef Matx<float, 1, 2> Matx12f;
|
||||||
|
typedef Matx<double, 1, 2> Matx12d;
|
||||||
|
typedef Matx<float, 1, 3> Matx13f;
|
||||||
|
typedef Matx<double, 1, 3> Matx13d;
|
||||||
|
typedef Matx<float, 1, 4> Matx14f;
|
||||||
|
typedef Matx<double, 1, 4> Matx14d;
|
||||||
|
typedef Matx<float, 1, 6> Matx16f;
|
||||||
|
typedef Matx<double, 1, 6> Matx16d;
|
||||||
|
|
||||||
|
typedef Matx<float, 2, 1> Matx21f;
|
||||||
|
typedef Matx<double, 2, 1> Matx21d;
|
||||||
|
typedef Matx<float, 3, 1> Matx31f;
|
||||||
|
typedef Matx<double, 3, 1> Matx31d;
|
||||||
|
typedef Matx<float, 4, 1> Matx41f;
|
||||||
|
typedef Matx<double, 4, 1> Matx41d;
|
||||||
|
typedef Matx<float, 6, 1> Matx61f;
|
||||||
|
typedef Matx<double, 6, 1> Matx61d;
|
||||||
|
|
||||||
|
typedef Matx<float, 2, 2> Matx22f;
|
||||||
|
typedef Matx<double, 2, 2> Matx22d;
|
||||||
|
typedef Matx<float, 2, 3> Matx23f;
|
||||||
|
typedef Matx<double, 2, 3> Matx23d;
|
||||||
|
typedef Matx<float, 3, 2> Matx32f;
|
||||||
|
typedef Matx<double, 3, 2> Matx32d;
|
||||||
|
|
||||||
|
typedef Matx<float, 3, 3> Matx33f;
|
||||||
|
typedef Matx<double, 3, 3> Matx33d;
|
||||||
|
|
||||||
|
typedef Matx<float, 3, 4> Matx34f;
|
||||||
|
typedef Matx<double, 3, 4> Matx34d;
|
||||||
|
typedef Matx<float, 4, 3> Matx43f;
|
||||||
|
typedef Matx<double, 4, 3> Matx43d;
|
||||||
|
|
||||||
|
typedef Matx<float, 4, 4> Matx44f;
|
||||||
|
typedef Matx<double, 4, 4> Matx44d;
|
||||||
|
typedef Matx<float, 6, 6> Matx66f;
|
||||||
|
typedef Matx<double, 6, 6> Matx66d;
|
||||||
|
|
||||||
|
/*!
|
||||||
|
traits
|
||||||
|
*/
|
||||||
|
template<typename _Tp, int m, int n> class DataType< Matx<_Tp, m, n> >
|
||||||
|
{
|
||||||
|
public:
|
||||||
|
typedef Matx<_Tp, m, n> value_type;
|
||||||
|
typedef Matx<typename DataType<_Tp>::work_type, m, n> work_type;
|
||||||
|
typedef _Tp channel_type;
|
||||||
|
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)
|
||||||
|
};
|
||||||
|
};
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
/////////////////////// Vec (used as element of multi-channel images /////////////////////
|
||||||
|
|
||||||
|
/*!
|
||||||
|
A short numerical vector.
|
||||||
|
|
||||||
|
This template class represents short numerical vectors (of 1, 2, 3, 4 ... elements)
|
||||||
|
on which you can perform basic arithmetical operations, access individual elements using [] operator etc.
|
||||||
|
The vectors are allocated on stack, as opposite to std::valarray, std::vector, cv::Mat etc.,
|
||||||
|
which elements are dynamically allocated in the heap.
|
||||||
|
|
||||||
|
The template takes 2 parameters:
|
||||||
|
-# _Tp element type
|
||||||
|
-# cn the number of elements
|
||||||
|
|
||||||
|
In addition to the universal notation like Vec<float, 3>, you can use shorter aliases
|
||||||
|
for the most popular specialized variants of Vec, e.g. Vec3f ~ Vec<float, 3>.
|
||||||
|
*/
|
||||||
|
template<typename _Tp, int cn> class CV_EXPORTS Vec : public Matx<_Tp, cn, 1>
|
||||||
|
{
|
||||||
|
public:
|
||||||
|
typedef _Tp value_type;
|
||||||
|
enum { depth = Matx<_Tp, cn, 1>::depth,
|
||||||
|
channels = cn,
|
||||||
|
type = CV_MAKETYPE(depth, channels)
|
||||||
|
};
|
||||||
|
|
||||||
|
//! default constructor
|
||||||
|
Vec();
|
||||||
|
|
||||||
|
Vec(_Tp v0); //!< 1-element vector constructor
|
||||||
|
Vec(_Tp v0, _Tp v1); //!< 2-element vector constructor
|
||||||
|
Vec(_Tp v0, _Tp v1, _Tp v2); //!< 3-element vector constructor
|
||||||
|
Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3); //!< 4-element vector constructor
|
||||||
|
Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4); //!< 5-element vector constructor
|
||||||
|
Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5); //!< 6-element vector constructor
|
||||||
|
Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6); //!< 7-element vector constructor
|
||||||
|
Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7); //!< 8-element vector constructor
|
||||||
|
Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8); //!< 9-element vector constructor
|
||||||
|
Vec(_Tp v0, _Tp v1, _Tp v2, _Tp v3, _Tp v4, _Tp v5, _Tp v6, _Tp v7, _Tp v8, _Tp v9); //!< 10-element vector constructor
|
||||||
|
explicit Vec(const _Tp* values);
|
||||||
|
|
||||||
|
Vec(const Vec<_Tp, cn>& v);
|
||||||
|
|
||||||
|
static Vec all(_Tp alpha);
|
||||||
|
|
||||||
|
//! per-element multiplication
|
||||||
|
Vec mul(const Vec<_Tp, cn>& v) const;
|
||||||
|
|
||||||
|
//! conjugation (makes sense for complex numbers and quaternions)
|
||||||
|
Vec conj() const;
|
||||||
|
|
||||||
|
/*!
|
||||||
|
cross product of the two 3D vectors.
|
||||||
|
|
||||||
|
For other dimensionalities the exception is raised
|
||||||
|
*/
|
||||||
|
Vec cross(const Vec& v) const;
|
||||||
|
//! convertion to another data type
|
||||||
|
template<typename T2> operator Vec<T2, cn>() const;
|
||||||
|
|
||||||
|
/*! element access */
|
||||||
|
const _Tp& operator [](int i) const;
|
||||||
|
_Tp& operator[](int i);
|
||||||
|
const _Tp& operator ()(int i) const;
|
||||||
|
_Tp& operator ()(int i);
|
||||||
|
|
||||||
|
Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_AddOp);
|
||||||
|
Vec(const Matx<_Tp, cn, 1>& a, const Matx<_Tp, cn, 1>& b, Matx_SubOp);
|
||||||
|
template<typename _T2> Vec(const Matx<_Tp, cn, 1>& a, _T2 alpha, Matx_ScaleOp);
|
||||||
|
};
|
||||||
|
|
||||||
|
/* \typedef
|
||||||
|
Shorter aliases for the most popular specializations of Vec<T,n>
|
||||||
|
*/
|
||||||
|
typedef Vec<uchar, 2> Vec2b;
|
||||||
|
typedef Vec<uchar, 3> Vec3b;
|
||||||
|
typedef Vec<uchar, 4> Vec4b;
|
||||||
|
|
||||||
|
typedef Vec<short, 2> Vec2s;
|
||||||
|
typedef Vec<short, 3> Vec3s;
|
||||||
|
typedef Vec<short, 4> Vec4s;
|
||||||
|
|
||||||
|
typedef Vec<ushort, 2> Vec2w;
|
||||||
|
typedef Vec<ushort, 3> Vec3w;
|
||||||
|
typedef Vec<ushort, 4> Vec4w;
|
||||||
|
|
||||||
|
typedef Vec<int, 2> Vec2i;
|
||||||
|
typedef Vec<int, 3> Vec3i;
|
||||||
|
typedef Vec<int, 4> Vec4i;
|
||||||
|
typedef Vec<int, 6> Vec6i;
|
||||||
|
typedef Vec<int, 8> Vec8i;
|
||||||
|
|
||||||
|
typedef Vec<float, 2> Vec2f;
|
||||||
|
typedef Vec<float, 3> Vec3f;
|
||||||
|
typedef Vec<float, 4> Vec4f;
|
||||||
|
typedef Vec<float, 6> Vec6f;
|
||||||
|
|
||||||
|
typedef Vec<double, 2> Vec2d;
|
||||||
|
typedef Vec<double, 3> Vec3d;
|
||||||
|
typedef Vec<double, 4> Vec4d;
|
||||||
|
typedef Vec<double, 6> Vec6d;
|
||||||
|
|
||||||
|
/*!
|
||||||
|
traits
|
||||||
|
*/
|
||||||
|
template<typename _Tp, int cn> class DataType< Vec<_Tp, cn> >
|
||||||
|
{
|
||||||
|
public:
|
||||||
|
typedef Vec<_Tp, cn> value_type;
|
||||||
|
typedef Vec<typename DataType<_Tp>::work_type, cn> work_type;
|
||||||
|
typedef _Tp channel_type;
|
||||||
|
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)
|
||||||
|
};
|
||||||
|
};
|
||||||
|
|
||||||
|
} // cv
|
||||||
|
|
||||||
|
#endif // __OPENCV_CORE_MATX_HPP__
|
||||||
@ -45,7 +45,6 @@
|
|||||||
#define __OPENCV_CORE_TRAITS_HPP__
|
#define __OPENCV_CORE_TRAITS_HPP__
|
||||||
|
|
||||||
#include "opencv2/core/cvdef.h"
|
#include "opencv2/core/cvdef.h"
|
||||||
#include "opencv2/core/cvstd.hpp"
|
|
||||||
|
|
||||||
namespace cv
|
namespace cv
|
||||||
{
|
{
|
||||||
|
|||||||
@ -53,67 +53,10 @@
|
|||||||
|
|
||||||
#include "opencv2/core/cvdef.h"
|
#include "opencv2/core/cvdef.h"
|
||||||
#include "opencv2/core/cvstd.hpp"
|
#include "opencv2/core/cvstd.hpp"
|
||||||
#include "opencv2/core/traits.hpp"
|
#include "opencv2/core/matx.hpp"
|
||||||
|
|
||||||
namespace cv
|
namespace cv
|
||||||
{
|
{
|
||||||
template<typename _Tp> class CV_EXPORTS Size_;
|
|
||||||
template<typename _Tp> class CV_EXPORTS Point_;
|
|
||||||
template<typename _Tp> class CV_EXPORTS Rect_;
|
|
||||||
|
|
||||||
template<typename _Tp, int cn> class CV_EXPORTS Vec;
|
|
||||||
//template<typename _Tp, int m, int n> class CV_EXPORTS Matx;
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
/////////////// saturate_cast (used in image & signal processing) ///////////////////
|
|
||||||
|
|
||||||
template<typename _Tp> static inline _Tp saturate_cast(uchar v) { return _Tp(v); }
|
|
||||||
template<typename _Tp> static inline _Tp saturate_cast(schar v) { return _Tp(v); }
|
|
||||||
template<typename _Tp> static inline _Tp saturate_cast(ushort v) { return _Tp(v); }
|
|
||||||
template<typename _Tp> static inline _Tp saturate_cast(short v) { return _Tp(v); }
|
|
||||||
template<typename _Tp> static inline _Tp saturate_cast(unsigned v) { return _Tp(v); }
|
|
||||||
template<typename _Tp> static inline _Tp saturate_cast(int v) { return _Tp(v); }
|
|
||||||
template<typename _Tp> static inline _Tp saturate_cast(float v) { return _Tp(v); }
|
|
||||||
template<typename _Tp> static inline _Tp saturate_cast(double v) { return _Tp(v); }
|
|
||||||
|
|
||||||
template<> inline uchar saturate_cast<uchar>(schar v) { return (uchar)std::max((int)v, 0); }
|
|
||||||
template<> inline uchar saturate_cast<uchar>(ushort v) { return (uchar)std::min((unsigned)v, (unsigned)UCHAR_MAX); }
|
|
||||||
template<> inline uchar saturate_cast<uchar>(int v) { return (uchar)((unsigned)v <= UCHAR_MAX ? v : v > 0 ? UCHAR_MAX : 0); }
|
|
||||||
template<> inline uchar saturate_cast<uchar>(short v) { return saturate_cast<uchar>((int)v); }
|
|
||||||
template<> inline uchar saturate_cast<uchar>(unsigned v) { return (uchar)std::min(v, (unsigned)UCHAR_MAX); }
|
|
||||||
template<> inline uchar saturate_cast<uchar>(float v) { int iv = cvRound(v); return saturate_cast<uchar>(iv); }
|
|
||||||
template<> inline uchar saturate_cast<uchar>(double v) { int iv = cvRound(v); return saturate_cast<uchar>(iv); }
|
|
||||||
|
|
||||||
template<> inline schar saturate_cast<schar>(uchar v) { return (schar)std::min((int)v, SCHAR_MAX); }
|
|
||||||
template<> inline schar saturate_cast<schar>(ushort v) { return (schar)std::min((unsigned)v, (unsigned)SCHAR_MAX); }
|
|
||||||
template<> inline schar saturate_cast<schar>(int v) { return (schar)((unsigned)(v-SCHAR_MIN) <= (unsigned)UCHAR_MAX ? v : v > 0 ? SCHAR_MAX : SCHAR_MIN); }
|
|
||||||
template<> inline schar saturate_cast<schar>(short v) { return saturate_cast<schar>((int)v); }
|
|
||||||
template<> inline schar saturate_cast<schar>(unsigned v) { return (schar)std::min(v, (unsigned)SCHAR_MAX); }
|
|
||||||
template<> inline schar saturate_cast<schar>(float v) { int iv = cvRound(v); return saturate_cast<schar>(iv); }
|
|
||||||
template<> inline schar saturate_cast<schar>(double v) { int iv = cvRound(v); return saturate_cast<schar>(iv); }
|
|
||||||
|
|
||||||
template<> inline ushort saturate_cast<ushort>(schar v) { return (ushort)std::max((int)v, 0); }
|
|
||||||
template<> inline ushort saturate_cast<ushort>(short v) { return (ushort)std::max((int)v, 0); }
|
|
||||||
template<> inline ushort saturate_cast<ushort>(int v) { return (ushort)((unsigned)v <= (unsigned)USHRT_MAX ? v : v > 0 ? USHRT_MAX : 0); }
|
|
||||||
template<> inline ushort saturate_cast<ushort>(unsigned v) { return (ushort)std::min(v, (unsigned)USHRT_MAX); }
|
|
||||||
template<> inline ushort saturate_cast<ushort>(float v) { int iv = cvRound(v); return saturate_cast<ushort>(iv); }
|
|
||||||
template<> inline ushort saturate_cast<ushort>(double v) { int iv = cvRound(v); return saturate_cast<ushort>(iv); }
|
|
||||||
|
|
||||||
template<> inline short saturate_cast<short>(ushort v) { return (short)std::min((int)v, SHRT_MAX); }
|
|
||||||
template<> inline short saturate_cast<short>(int v) { return (short)((unsigned)(v - SHRT_MIN) <= (unsigned)USHRT_MAX ? v : v > 0 ? SHRT_MAX : SHRT_MIN); }
|
|
||||||
template<> inline short saturate_cast<short>(unsigned v) { return (short)std::min(v, (unsigned)SHRT_MAX); }
|
|
||||||
template<> inline short saturate_cast<short>(float v) { int iv = cvRound(v); return saturate_cast<short>(iv); }
|
|
||||||
template<> inline short saturate_cast<short>(double v) { int iv = cvRound(v); return saturate_cast<short>(iv); }
|
|
||||||
|
|
||||||
template<> inline int saturate_cast<int>(float v) { return cvRound(v); }
|
|
||||||
template<> inline int saturate_cast<int>(double v) { return cvRound(v); }
|
|
||||||
|
|
||||||
// we intentionally do not clip negative numbers, to make -1 become 0xffffffff etc.
|
|
||||||
template<> inline unsigned saturate_cast<unsigned>(float v) { return cvRound(v); }
|
|
||||||
template<> inline unsigned saturate_cast<unsigned>(double v) { return cvRound(v); }
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
//////////////////////////////// Complex //////////////////////////////
|
//////////////////////////////// Complex //////////////////////////////
|
||||||
|
|
||||||
@ -667,8 +610,9 @@ inline KeyPoint::KeyPoint(float x, float y, float _size, float _angle, float _re
|
|||||||
/*
|
/*
|
||||||
* Struct for matching: query descriptor index, train descriptor index, train image index and distance between descriptors.
|
* Struct for matching: query descriptor index, train descriptor index, train image index and distance between descriptors.
|
||||||
*/
|
*/
|
||||||
struct CV_EXPORTS_W_SIMPLE DMatch
|
class CV_EXPORTS_W_SIMPLE DMatch
|
||||||
{
|
{
|
||||||
|
public:
|
||||||
CV_WRAP DMatch();
|
CV_WRAP DMatch();
|
||||||
CV_WRAP DMatch(int _queryIdx, int _trainIdx, float _distance);
|
CV_WRAP DMatch(int _queryIdx, int _trainIdx, float _distance);
|
||||||
CV_WRAP DMatch(int _queryIdx, int _trainIdx, int _imgIdx, float _distance);
|
CV_WRAP DMatch(int _queryIdx, int _trainIdx, int _imgIdx, float _distance);
|
||||||
|
|||||||
@ -1,3 +1,4 @@
|
|||||||
|
include/opencv2/core/base.hpp
|
||||||
include/opencv2/core.hpp
|
include/opencv2/core.hpp
|
||||||
include/opencv2/core/utility.hpp
|
include/opencv2/core/utility.hpp
|
||||||
../java/generator/src/cpp/core_manual.hpp
|
../java/generator/src/cpp/core_manual.hpp
|
||||||
|
|||||||
Loading…
Reference in New Issue
Block a user