/*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_TYPES_HPP__ #define __OPENCV_CORE_TYPES_HPP__ #ifndef __cplusplus # error types.hpp header must be compiled as C++ #endif #include #include #include #include "opencv2/core/cvdef.h" #include "opencv2/core/cvstd.hpp" #include "opencv2/core/matx.hpp" namespace cv { //! @addtogroup core_basic //! @{ //////////////////////////////// Complex ////////////////////////////// /** @brief A complex number class. The template class is similar and compatible with std::complex, however it provides slightly more convenient access to the real and imaginary parts using through the simple field access, as opposite to std::complex::real() and std::complex::imag(). */ template class Complex { public: //! constructors Complex(); Complex( _Tp _re, _Tp _im = 0 ); //! conversion to another data type template operator Complex() const; //! conjugation Complex conj() const; _Tp re, im; //< the real and the imaginary parts }; typedef Complex Complexf; typedef Complex Complexd; template class DataType< Complex<_Tp> > { public: typedef Complex<_Tp> value_type; typedef value_type work_type; typedef _Tp channel_type; enum { generic_type = 0, depth = DataType::depth, channels = 2, fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; //////////////////////////////// Point_ //////////////////////////////// /** @brief Template class for 2D points specified by its coordinates `x` and `y`. An instance of the class is interchangeable with C structures, CvPoint and CvPoint2D32f . There is also a cast operator to convert point coordinates to the specified type. The conversion from floating-point coordinates to integer coordinates is done by rounding. Commonly, the conversion uses this operation for each of the coordinates. Besides the class members listed in the declaration above, the following operations on points are implemented: @code pt1 = pt2 + pt3; pt1 = pt2 - pt3; pt1 = pt2 * a; pt1 = a * pt2; pt1 = pt2 / a; pt1 += pt2; pt1 -= pt2; pt1 *= a; pt1 /= a; double value = norm(pt); // L2 norm pt1 == pt2; pt1 != pt2; @endcode For your convenience, the following type aliases are defined: @code typedef Point_ Point2i; typedef Point2i Point; typedef Point_ Point2f; typedef Point_ Point2d; @endcode Example: @code Point2f a(0.3f, 0.f), b(0.f, 0.4f); Point pt = (a + b)*10.f; cout << pt.x << ", " << pt.y << endl; @endcode */ template class Point_ { public: typedef _Tp value_type; // various constructors Point_(); Point_(_Tp _x, _Tp _y); Point_(const Point_& pt); Point_(const Size_<_Tp>& sz); Point_(const Vec<_Tp, 2>& v); Point_& operator = (const Point_& pt); //! conversion to another data type template operator Point_<_Tp2>() const; //! conversion to the old-style C structures operator Vec<_Tp, 2>() const; //! dot product _Tp dot(const Point_& pt) const; //! dot product computed in double-precision arithmetics double ddot(const Point_& pt) const; //! cross-product double cross(const Point_& pt) const; //! checks whether the point is inside the specified rectangle bool inside(const Rect_<_Tp>& r) const; _Tp x, y; //< the point coordinates }; typedef Point_ Point2i; typedef Point_ Point2f; typedef Point_ Point2d; typedef Point2i Point; template class DataType< Point_<_Tp> > { public: typedef Point_<_Tp> value_type; typedef Point_::work_type> work_type; typedef _Tp channel_type; enum { generic_type = 0, depth = DataType::depth, channels = 2, fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; //////////////////////////////// Point3_ //////////////////////////////// /** @brief Template class for 3D points specified by its coordinates `x`, `y` and `z`. An instance of the class is interchangeable with the C structure CvPoint2D32f . Similarly to Point_ , the coordinates of 3D points can be converted to another type. The vector arithmetic and comparison operations are also supported. The following Point3_\<\> aliases are available: @code typedef Point3_ Point3i; typedef Point3_ Point3f; typedef Point3_ Point3d; @endcode @see cv::Point3i, cv::Point3f and cv::Point3d */ template class Point3_ { public: typedef _Tp value_type; // various constructors Point3_(); Point3_(_Tp _x, _Tp _y, _Tp _z); Point3_(const Point3_& pt); explicit Point3_(const Point_<_Tp>& pt); Point3_(const Vec<_Tp, 3>& v); Point3_& operator = (const Point3_& pt); //! conversion to another data type template operator Point3_<_Tp2>() const; //! conversion to cv::Vec<> operator Vec<_Tp, 3>() const; //! dot product _Tp dot(const Point3_& pt) const; //! dot product computed in double-precision arithmetics double ddot(const Point3_& pt) const; //! cross product of the 2 3D points Point3_ cross(const Point3_& pt) const; _Tp x, y, z; //< the point coordinates }; typedef Point3_ Point3i; typedef Point3_ Point3f; typedef Point3_ Point3d; template class DataType< Point3_<_Tp> > { public: typedef Point3_<_Tp> value_type; typedef Point3_::work_type> work_type; typedef _Tp channel_type; enum { generic_type = 0, depth = DataType::depth, channels = 3, fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; //////////////////////////////// Size_ //////////////////////////////// /** @brief Template class for specifying the size of an image or rectangle. The class includes two members called width and height. The structure can be converted to and from the old OpenCV structures CvSize and CvSize2D32f . The same set of arithmetic and comparison operations as for Point_ is available. OpenCV defines the following Size_\<\> aliases: @code typedef Size_ Size2i; typedef Size2i Size; typedef Size_ Size2f; @endcode */ template class Size_ { public: typedef _Tp value_type; //! various constructors Size_(); Size_(_Tp _width, _Tp _height); Size_(const Size_& sz); Size_(const Point_<_Tp>& pt); Size_& operator = (const Size_& sz); //! the area (width*height) _Tp area() const; //! conversion of another data type. template operator Size_<_Tp2>() const; _Tp width, height; // the width and the height }; typedef Size_ Size2i; typedef Size_ Size2f; typedef Size_ Size2d; typedef Size2i Size; template class DataType< Size_<_Tp> > { public: typedef Size_<_Tp> value_type; typedef Size_::work_type> work_type; typedef _Tp channel_type; enum { generic_type = 0, depth = DataType::depth, channels = 2, fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; //////////////////////////////// Rect_ //////////////////////////////// /** @brief Template class for 2D rectangles described by the following parameters: - Coordinates of the top-left corner. This is a default interpretation of Rect_::x and Rect_::y in OpenCV. Though, in your algorithms you may count x and y from the bottom-left corner. - Rectangle width and height. OpenCV typically assumes that the top and left boundary of the rectangle are inclusive, while the right and bottom boundaries are not. For example, the method Rect_::contains returns true if \f[x \leq pt.x < x+width, y \leq pt.y < y+height\f] Virtually every loop over an image ROI in OpenCV (where ROI is specified by Rect_\ ) is implemented as: @code for(int y = roi.y; y < roi.y + roi.height; y++) for(int x = roi.x; x < roi.x + roi.width; x++) { // ... } @endcode In addition to the class members, the following operations on rectangles are implemented: - \f$\texttt{rect} = \texttt{rect} \pm \texttt{point}\f$ (shifting a rectangle by a certain offset) - \f$\texttt{rect} = \texttt{rect} \pm \texttt{size}\f$ (expanding or shrinking a rectangle by a certain amount) - rect += point, rect -= point, rect += size, rect -= size (augmenting operations) - rect = rect1 & rect2 (rectangle intersection) - rect = rect1 | rect2 (minimum area rectangle containing rect1 and rect2 ) - rect &= rect1, rect |= rect1 (and the corresponding augmenting operations) - rect == rect1, rect != rect1 (rectangle comparison) This is an example how the partial ordering on rectangles can be established (rect1 \f$\subseteq\f$ rect2): @code template inline bool operator <= (const Rect_<_Tp>& r1, const Rect_<_Tp>& r2) { return (r1 & r2) == r1; } @endcode For your convenience, the Rect_\<\> alias is available: cv::Rect */ template class Rect_ { public: typedef _Tp value_type; //! various constructors Rect_(); Rect_(_Tp _x, _Tp _y, _Tp _width, _Tp _height); Rect_(const Rect_& r); Rect_(const Point_<_Tp>& org, const Size_<_Tp>& sz); Rect_(const Point_<_Tp>& pt1, const Point_<_Tp>& pt2); Rect_& operator = ( const Rect_& r ); //! the top-left corner Point_<_Tp> tl() const; //! the bottom-right corner Point_<_Tp> br() const; //! size (width, height) of the rectangle Size_<_Tp> size() const; //! area (width*height) of the rectangle _Tp area() const; //! conversion to another data type template operator Rect_<_Tp2>() const; //! checks whether the rectangle contains the point bool contains(const Point_<_Tp>& pt) const; _Tp x, y, width, height; //< the top-left corner, as well as width and height of the rectangle }; typedef Rect_ Rect2i; typedef Rect_ Rect2f; typedef Rect_ Rect2d; typedef Rect2i Rect; template class DataType< Rect_<_Tp> > { public: typedef Rect_<_Tp> value_type; typedef Rect_::work_type> work_type; typedef _Tp channel_type; enum { generic_type = 0, depth = DataType::depth, channels = 4, fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; ///////////////////////////// RotatedRect ///////////////////////////// /** @brief The class represents rotated (i.e. not up-right) rectangles on a plane. Each rectangle is specified by the center point (mass center), length of each side (represented by cv::Size2f structure) and the rotation angle in degrees. The sample below demonstrates how to use RotatedRect: @code Mat image(200, 200, CV_8UC3, Scalar(0)); RotatedRect rRect = RotatedRect(Point2f(100,100), Size2f(100,50), 30); Point2f vertices[4]; rRect.points(vertices); for (int i = 0; i < 4; i++) line(image, vertices[i], vertices[(i+1)%4], Scalar(0,255,0)); Rect brect = rRect.boundingRect(); rectangle(image, brect, Scalar(255,0,0)); imshow("rectangles", image); waitKey(0); @endcode ![image](pics/rotatedrect.png) @sa CamShift, fitEllipse, minAreaRect, CvBox2D */ class CV_EXPORTS RotatedRect { public: //! various constructors RotatedRect(); /** @param center The rectangle mass center. @param size Width and height of the rectangle. @param angle The rotation angle in a clockwise direction. When the angle is 0, 90, 180, 270 etc., the rectangle becomes an up-right rectangle. */ RotatedRect(const Point2f& center, const Size2f& size, float angle); /** Any 3 end points of the RotatedRect. They must be given in order (either clockwise or anticlockwise). */ RotatedRect(const Point2f& point1, const Point2f& point2, const Point2f& point3); /** returns 4 vertices of the rectangle @param pts The points array for storing rectangle vertices. */ void points(Point2f pts[]) const; //! returns the minimal up-right rectangle containing the rotated rectangle Rect boundingRect() const; Point2f center; //< the rectangle mass center Size2f size; //< width and height of the rectangle float angle; //< the rotation angle. When the angle is 0, 90, 180, 270 etc., the rectangle becomes an up-right rectangle. }; template<> class DataType< RotatedRect > { public: typedef RotatedRect value_type; typedef value_type work_type; typedef float channel_type; enum { generic_type = 0, depth = DataType::depth, channels = (int)sizeof(value_type)/sizeof(channel_type), // 5 fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; //////////////////////////////// Range ///////////////////////////////// /** @brief Template class specifying a continuous subsequence (slice) of a sequence. The class is used to specify a row or a column span in a matrix ( Mat ) and for many other purposes. Range(a,b) is basically the same as a:b in Matlab or a..b in Python. As in Python, start is an inclusive left boundary of the range and end is an exclusive right boundary of the range. Such a half-opened interval is usually denoted as \f$[start,end)\f$ . The static method Range::all() returns a special variable that means "the whole sequence" or "the whole range", just like " : " in Matlab or " ... " in Python. All the methods and functions in OpenCV that take Range support this special Range::all() value. But, of course, in case of your own custom processing, you will probably have to check and handle it explicitly: @code void my_function(..., const Range& r, ....) { if(r == Range::all()) { // process all the data } else { // process [r.start, r.end) } } @endcode */ class CV_EXPORTS Range { public: Range(); Range(int _start, int _end); int size() const; bool empty() const; static Range all(); int start, end; }; template<> class DataType { public: typedef Range value_type; typedef value_type work_type; typedef int channel_type; enum { generic_type = 0, depth = DataType::depth, channels = 2, fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; //////////////////////////////// Scalar_ /////////////////////////////// /** @brief Template class for a 4-element vector derived from Vec. Being derived from Vec\<_Tp, 4\> , Scalar_ and Scalar can be used just as typical 4-element vectors. In addition, they can be converted to/from CvScalar . The type Scalar is widely used in OpenCV to pass pixel values. */ template class Scalar_ : public Vec<_Tp, 4> { public: //! various constructors Scalar_(); Scalar_(_Tp v0, _Tp v1, _Tp v2=0, _Tp v3=0); Scalar_(_Tp v0); template Scalar_(const Vec<_Tp2, cn>& v); //! returns a scalar with all elements set to v0 static Scalar_<_Tp> all(_Tp v0); //! conversion to another data type template operator Scalar_() const; //! per-element product Scalar_<_Tp> mul(const Scalar_<_Tp>& a, double scale=1 ) const; // returns (v0, -v1, -v2, -v3) Scalar_<_Tp> conj() const; // returns true iff v1 == v2 == v3 == 0 bool isReal() const; }; typedef Scalar_ Scalar; template class DataType< Scalar_<_Tp> > { public: typedef Scalar_<_Tp> value_type; typedef Scalar_::work_type> work_type; typedef _Tp channel_type; enum { generic_type = 0, depth = DataType::depth, channels = 4, fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; /////////////////////////////// KeyPoint //////////////////////////////// /** @brief Data structure for salient point detectors. The class instance stores a keypoint, i.e. a point feature found by one of many available keypoint detectors, such as Harris corner detector, cv::FAST, cv::StarDetector, cv::SURF, cv::SIFT, cv::LDetector etc. The keypoint is characterized by the 2D position, scale (proportional to the diameter of the neighborhood that needs to be taken into account), orientation and some other parameters. The keypoint neighborhood is then analyzed by another algorithm that builds a descriptor (usually represented as a feature vector). The keypoints representing the same object in different images can then be matched using cv::KDTree or another method. */ class CV_EXPORTS_W_SIMPLE KeyPoint { public: //! the default constructor CV_WRAP KeyPoint(); /** @param _pt x & y coordinates of the keypoint @param _size keypoint diameter @param _angle keypoint orientation @param _response keypoint detector response on the keypoint (that is, strength of the keypoint) @param _octave pyramid octave in which the keypoint has been detected @param _class_id object id */ KeyPoint(Point2f _pt, float _size, float _angle=-1, float _response=0, int _octave=0, int _class_id=-1); /** @param x x-coordinate of the keypoint @param y y-coordinate of the keypoint @param _size keypoint diameter @param _angle keypoint orientation @param _response keypoint detector response on the keypoint (that is, strength of the keypoint) @param _octave pyramid octave in which the keypoint has been detected @param _class_id object id */ CV_WRAP KeyPoint(float x, float y, float _size, float _angle=-1, float _response=0, int _octave=0, int _class_id=-1); size_t hash() const; /** This method converts vector of keypoints to vector of points or the reverse, where each keypoint is assigned the same size and the same orientation. @param keypoints Keypoints obtained from any feature detection algorithm like SIFT/SURF/ORB @param points2f Array of (x,y) coordinates of each keypoint @param keypointIndexes Array of indexes of keypoints to be converted to points. (Acts like a mask to convert only specified keypoints) */ CV_WRAP static void convert(const std::vector& keypoints, CV_OUT std::vector& points2f, const std::vector& keypointIndexes=std::vector()); /** @overload @param points2f Array of (x,y) coordinates of each keypoint @param keypoints Keypoints obtained from any feature detection algorithm like SIFT/SURF/ORB @param size keypoint diameter @param response keypoint detector response on the keypoint (that is, strength of the keypoint) @param octave pyramid octave in which the keypoint has been detected @param class_id object id */ CV_WRAP static void convert(const std::vector& points2f, CV_OUT std::vector& keypoints, float size=1, float response=1, int octave=0, int class_id=-1); /** This method computes overlap for pair of keypoints. Overlap is the ratio between area of keypoint regions' intersection and area of keypoint regions' union (considering keypoint region as circle). If they don't overlap, we get zero. If they coincide at same location with same size, we get 1. @param kp1 First keypoint @param kp2 Second keypoint */ CV_WRAP static float overlap(const KeyPoint& kp1, const KeyPoint& kp2); CV_PROP_RW Point2f pt; //!< coordinates of the keypoints CV_PROP_RW float size; //!< diameter of the meaningful keypoint neighborhood CV_PROP_RW float angle; //!< computed orientation of the keypoint (-1 if not applicable); //!< it's in [0,360) degrees and measured relative to //!< image coordinate system, ie in clockwise. CV_PROP_RW float response; //!< the response by which the most strong keypoints have been selected. Can be used for the further sorting or subsampling CV_PROP_RW int octave; //!< octave (pyramid layer) from which the keypoint has been extracted CV_PROP_RW int class_id; //!< object class (if the keypoints need to be clustered by an object they belong to) }; template<> class DataType { public: typedef KeyPoint value_type; typedef float work_type; typedef float channel_type; enum { generic_type = 0, depth = DataType::depth, channels = (int)(sizeof(value_type)/sizeof(channel_type)), // 7 fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; //////////////////////////////// DMatch ///////////////////////////////// /** @brief Class for matching keypoint descriptors query descriptor index, train descriptor index, train image index, and distance between descriptors. */ class CV_EXPORTS_W_SIMPLE DMatch { public: CV_WRAP DMatch(); CV_WRAP DMatch(int _queryIdx, int _trainIdx, float _distance); CV_WRAP DMatch(int _queryIdx, int _trainIdx, int _imgIdx, float _distance); CV_PROP_RW int queryIdx; // query descriptor index CV_PROP_RW int trainIdx; // train descriptor index CV_PROP_RW int imgIdx; // train image index CV_PROP_RW float distance; // less is better bool operator<(const DMatch &m) const; }; template<> class DataType { public: typedef DMatch value_type; typedef int work_type; typedef int channel_type; enum { generic_type = 0, depth = DataType::depth, channels = (int)(sizeof(value_type)/sizeof(channel_type)), // 4 fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; ///////////////////////////// TermCriteria ////////////////////////////// /** @brief The class defining termination criteria for iterative algorithms. You can initialize it by default constructor and then override any parameters, or the structure may be fully initialized using the advanced variant of the constructor. */ class CV_EXPORTS TermCriteria { public: /** Criteria type, can be one of: COUNT, EPS or COUNT + EPS */ enum Type { COUNT=1, //!< the maximum number of iterations or elements to compute MAX_ITER=COUNT, //!< ditto EPS=2 //!< the desired accuracy or change in parameters at which the iterative algorithm stops }; //! default constructor TermCriteria(); /** @param type The type of termination criteria, one of TermCriteria::Type @param maxCount The maximum number of iterations or elements to compute. @param epsilon The desired accuracy or change in parameters at which the iterative algorithm stops. */ TermCriteria(int type, int maxCount, double epsilon); int type; //!< the type of termination criteria: COUNT, EPS or COUNT + EPS int maxCount; // the maximum number of iterations/elements double epsilon; // the desired accuracy }; //! @} core_basic ///////////////////////// raster image moments ////////////////////////// //! @addtogroup imgproc_shape //! @{ /** @brief struct returned by cv::moments The spatial moments \f$\texttt{Moments::m}_{ji}\f$ are computed as: \f[\texttt{m} _{ji}= \sum _{x,y} \left ( \texttt{array} (x,y) \cdot x^j \cdot y^i \right )\f] The central moments \f$\texttt{Moments::mu}_{ji}\f$ are computed as: \f[\texttt{mu} _{ji}= \sum _{x,y} \left ( \texttt{array} (x,y) \cdot (x - \bar{x} )^j \cdot (y - \bar{y} )^i \right )\f] where \f$(\bar{x}, \bar{y})\f$ is the mass center: \f[\bar{x} = \frac{\texttt{m}_{10}}{\texttt{m}_{00}} , \; \bar{y} = \frac{\texttt{m}_{01}}{\texttt{m}_{00}}\f] The normalized central moments \f$\texttt{Moments::nu}_{ij}\f$ are computed as: \f[\texttt{nu} _{ji}= \frac{\texttt{mu}_{ji}}{\texttt{m}_{00}^{(i+j)/2+1}} .\f] @note \f$\texttt{mu}_{00}=\texttt{m}_{00}\f$, \f$\texttt{nu}_{00}=1\f$ \f$\texttt{nu}_{10}=\texttt{mu}_{10}=\texttt{mu}_{01}=\texttt{mu}_{10}=0\f$ , hence the values are not stored. The moments of a contour are defined in the same way but computed using the Green's formula (see ). So, due to a limited raster resolution, the moments computed for a contour are slightly different from the moments computed for the same rasterized contour. @note Since the contour moments are computed using Green formula, you may get seemingly odd results for contours with self-intersections, e.g. a zero area (m00) for butterfly-shaped contours. */ class CV_EXPORTS_W_MAP Moments { public: //! the default constructor Moments(); //! the full constructor Moments(double m00, double m10, double m01, double m20, double m11, double m02, double m30, double m21, double m12, double m03 ); ////! the conversion from CvMoments //Moments( const CvMoments& moments ); ////! the conversion to CvMoments //operator CvMoments() const; //! @name spatial moments //! @{ CV_PROP_RW double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03; //! @} //! @name central moments //! @{ CV_PROP_RW double mu20, mu11, mu02, mu30, mu21, mu12, mu03; //! @} //! @name central normalized moments //! @{ CV_PROP_RW double nu20, nu11, nu02, nu30, nu21, nu12, nu03; //! @} }; template<> class DataType { public: typedef Moments value_type; typedef double work_type; typedef double channel_type; enum { generic_type = 0, depth = DataType::depth, channels = (int)(sizeof(value_type)/sizeof(channel_type)), // 24 fmt = DataType::fmt + ((channels - 1) << 8), type = CV_MAKETYPE(depth, channels) }; typedef Vec vec_type; }; //! @} imgproc_shape //! @cond IGNORED ///////////////////////////////////////////////////////////////////////// ///////////////////////////// Implementation //////////////////////////// ///////////////////////////////////////////////////////////////////////// //////////////////////////////// Complex //////////////////////////////// template inline Complex<_Tp>::Complex() : re(0), im(0) {} template inline Complex<_Tp>::Complex( _Tp _re, _Tp _im ) : re(_re), im(_im) {} template template inline Complex<_Tp>::operator Complex() const { return Complex(saturate_cast(re), saturate_cast(im)); } template inline Complex<_Tp> Complex<_Tp>::conj() const { return Complex<_Tp>(re, -im); } template static inline bool operator == (const Complex<_Tp>& a, const Complex<_Tp>& b) { return a.re == b.re && a.im == b.im; } template static inline bool operator != (const Complex<_Tp>& a, const Complex<_Tp>& b) { return a.re != b.re || a.im != b.im; } template static inline Complex<_Tp> operator + (const Complex<_Tp>& a, const Complex<_Tp>& b) { return Complex<_Tp>( a.re + b.re, a.im + b.im ); } template static inline Complex<_Tp>& operator += (Complex<_Tp>& a, const Complex<_Tp>& b) { a.re += b.re; a.im += b.im; return a; } template static inline Complex<_Tp> operator - (const Complex<_Tp>& a, const Complex<_Tp>& b) { return Complex<_Tp>( a.re - b.re, a.im - b.im ); } template static inline Complex<_Tp>& operator -= (Complex<_Tp>& a, const Complex<_Tp>& b) { a.re -= b.re; a.im -= b.im; return a; } template static inline Complex<_Tp> operator - (const Complex<_Tp>& a) { return Complex<_Tp>(-a.re, -a.im); } template static inline Complex<_Tp> operator * (const Complex<_Tp>& a, const Complex<_Tp>& b) { return Complex<_Tp>( a.re*b.re - a.im*b.im, a.re*b.im + a.im*b.re ); } template static inline Complex<_Tp> operator * (const Complex<_Tp>& a, _Tp b) { return Complex<_Tp>( a.re*b, a.im*b ); } template static inline Complex<_Tp> operator * (_Tp b, const Complex<_Tp>& a) { return Complex<_Tp>( a.re*b, a.im*b ); } template static inline Complex<_Tp> operator + (const Complex<_Tp>& a, _Tp b) { return Complex<_Tp>( a.re + b, a.im ); } template static inline Complex<_Tp> operator - (const Complex<_Tp>& a, _Tp b) { return Complex<_Tp>( a.re - b, a.im ); } template static inline Complex<_Tp> operator + (_Tp b, const Complex<_Tp>& a) { return Complex<_Tp>( a.re + b, a.im ); } template static inline Complex<_Tp> operator - (_Tp b, const Complex<_Tp>& a) { return Complex<_Tp>( b - a.re, -a.im ); } template static inline Complex<_Tp>& operator += (Complex<_Tp>& a, _Tp b) { a.re += b; return a; } template static inline Complex<_Tp>& operator -= (Complex<_Tp>& a, _Tp b) { a.re -= b; return a; } template static inline Complex<_Tp>& operator *= (Complex<_Tp>& a, _Tp b) { a.re *= b; a.im *= b; return a; } template static inline double abs(const Complex<_Tp>& a) { return std::sqrt( (double)a.re*a.re + (double)a.im*a.im); } template static inline Complex<_Tp> operator / (const Complex<_Tp>& a, const Complex<_Tp>& b) { double t = 1./((double)b.re*b.re + (double)b.im*b.im); return Complex<_Tp>( (_Tp)((a.re*b.re + a.im*b.im)*t), (_Tp)((-a.re*b.im + a.im*b.re)*t) ); } template static inline Complex<_Tp>& operator /= (Complex<_Tp>& a, const Complex<_Tp>& b) { return (a = a / b); } template static inline Complex<_Tp> operator / (const Complex<_Tp>& a, _Tp b) { _Tp t = (_Tp)1/b; return Complex<_Tp>( a.re*t, a.im*t ); } template static inline Complex<_Tp> operator / (_Tp b, const Complex<_Tp>& a) { return Complex<_Tp>(b)/a; } template static inline Complex<_Tp> operator /= (const Complex<_Tp>& a, _Tp b) { _Tp t = (_Tp)1/b; a.re *= t; a.im *= t; return a; } //////////////////////////////// 2D Point /////////////////////////////// template inline Point_<_Tp>::Point_() : x(0), y(0) {} template inline Point_<_Tp>::Point_(_Tp _x, _Tp _y) : x(_x), y(_y) {} template inline Point_<_Tp>::Point_(const Point_& pt) : x(pt.x), y(pt.y) {} template inline Point_<_Tp>::Point_(const Size_<_Tp>& sz) : x(sz.width), y(sz.height) {} template inline Point_<_Tp>::Point_(const Vec<_Tp,2>& v) : x(v[0]), y(v[1]) {} template inline Point_<_Tp>& Point_<_Tp>::operator = (const Point_& pt) { x = pt.x; y = pt.y; return *this; } template template inline Point_<_Tp>::operator Point_<_Tp2>() const { return Point_<_Tp2>(saturate_cast<_Tp2>(x), saturate_cast<_Tp2>(y)); } template inline Point_<_Tp>::operator Vec<_Tp, 2>() const { return Vec<_Tp, 2>(x, y); } template inline _Tp Point_<_Tp>::dot(const Point_& pt) const { return saturate_cast<_Tp>(x*pt.x + y*pt.y); } template inline double Point_<_Tp>::ddot(const Point_& pt) const { return (double)x*pt.x + (double)y*pt.y; } template inline double Point_<_Tp>::cross(const Point_& pt) const { return (double)x*pt.y - (double)y*pt.x; } template inline bool Point_<_Tp>::inside( const Rect_<_Tp>& r ) const { return r.contains(*this); } template static inline Point_<_Tp>& operator += (Point_<_Tp>& a, const Point_<_Tp>& b) { a.x += b.x; a.y += b.y; return a; } template static inline Point_<_Tp>& operator -= (Point_<_Tp>& a, const Point_<_Tp>& b) { a.x -= b.x; a.y -= b.y; return a; } template static inline Point_<_Tp>& operator *= (Point_<_Tp>& a, int b) { a.x = saturate_cast<_Tp>(a.x * b); a.y = saturate_cast<_Tp>(a.y * b); return a; } template static inline Point_<_Tp>& operator *= (Point_<_Tp>& a, float b) { a.x = saturate_cast<_Tp>(a.x * b); a.y = saturate_cast<_Tp>(a.y * b); return a; } template static inline Point_<_Tp>& operator *= (Point_<_Tp>& a, double b) { a.x = saturate_cast<_Tp>(a.x * b); a.y = saturate_cast<_Tp>(a.y * b); return a; } template static inline Point_<_Tp>& operator /= (Point_<_Tp>& a, int b) { a.x = saturate_cast<_Tp>(a.x / b); a.y = saturate_cast<_Tp>(a.y / b); return a; } template static inline Point_<_Tp>& operator /= (Point_<_Tp>& a, float b) { a.x = saturate_cast<_Tp>(a.x / b); a.y = saturate_cast<_Tp>(a.y / b); return a; } template static inline Point_<_Tp>& operator /= (Point_<_Tp>& a, double b) { a.x = saturate_cast<_Tp>(a.x / b); a.y = saturate_cast<_Tp>(a.y / b); return a; } template static inline double norm(const Point_<_Tp>& pt) { return std::sqrt((double)pt.x*pt.x + (double)pt.y*pt.y); } template static inline bool operator == (const Point_<_Tp>& a, const Point_<_Tp>& b) { return a.x == b.x && a.y == b.y; } template static inline bool operator != (const Point_<_Tp>& a, const Point_<_Tp>& b) { return a.x != b.x || a.y != b.y; } template static inline Point_<_Tp> operator + (const Point_<_Tp>& a, const Point_<_Tp>& b) { return Point_<_Tp>( saturate_cast<_Tp>(a.x + b.x), saturate_cast<_Tp>(a.y + b.y) ); } template static inline Point_<_Tp> operator - (const Point_<_Tp>& a, const Point_<_Tp>& b) { return Point_<_Tp>( saturate_cast<_Tp>(a.x - b.x), saturate_cast<_Tp>(a.y - b.y) ); } template static inline Point_<_Tp> operator - (const Point_<_Tp>& a) { return Point_<_Tp>( saturate_cast<_Tp>(-a.x), saturate_cast<_Tp>(-a.y) ); } template static inline Point_<_Tp> operator * (const Point_<_Tp>& a, int b) { return Point_<_Tp>( saturate_cast<_Tp>(a.x*b), saturate_cast<_Tp>(a.y*b) ); } template static inline Point_<_Tp> operator * (int a, const Point_<_Tp>& b) { return Point_<_Tp>( saturate_cast<_Tp>(b.x*a), saturate_cast<_Tp>(b.y*a) ); } template static inline Point_<_Tp> operator * (const Point_<_Tp>& a, float b) { return Point_<_Tp>( saturate_cast<_Tp>(a.x*b), saturate_cast<_Tp>(a.y*b) ); } template static inline Point_<_Tp> operator * (float a, const Point_<_Tp>& b) { return Point_<_Tp>( saturate_cast<_Tp>(b.x*a), saturate_cast<_Tp>(b.y*a) ); } template static inline Point_<_Tp> operator * (const Point_<_Tp>& a, double b) { return Point_<_Tp>( saturate_cast<_Tp>(a.x*b), saturate_cast<_Tp>(a.y*b) ); } template static inline Point_<_Tp> operator * (double a, const Point_<_Tp>& b) { return Point_<_Tp>( saturate_cast<_Tp>(b.x*a), saturate_cast<_Tp>(b.y*a) ); } template static inline Point_<_Tp> operator * (const Matx<_Tp, 2, 2>& a, const Point_<_Tp>& b) { Matx<_Tp, 2, 1> tmp = a * Vec<_Tp,2>(b.x, b.y); return Point_<_Tp>(tmp.val[0], tmp.val[1]); } template static inline Point3_<_Tp> operator * (const Matx<_Tp, 3, 3>& a, const Point_<_Tp>& b) { Matx<_Tp, 3, 1> tmp = a * Vec<_Tp,3>(b.x, b.y, 1); return Point3_<_Tp>(tmp.val[0], tmp.val[1], tmp.val[2]); } template static inline Point_<_Tp> operator / (const Point_<_Tp>& a, int b) { Point_<_Tp> tmp(a); tmp /= b; return tmp; } template static inline Point_<_Tp> operator / (const Point_<_Tp>& a, float b) { Point_<_Tp> tmp(a); tmp /= b; return tmp; } template static inline Point_<_Tp> operator / (const Point_<_Tp>& a, double b) { Point_<_Tp> tmp(a); tmp /= b; return tmp; } //////////////////////////////// 3D Point /////////////////////////////// template inline Point3_<_Tp>::Point3_() : x(0), y(0), z(0) {} template inline Point3_<_Tp>::Point3_(_Tp _x, _Tp _y, _Tp _z) : x(_x), y(_y), z(_z) {} template inline Point3_<_Tp>::Point3_(const Point3_& pt) : x(pt.x), y(pt.y), z(pt.z) {} template inline Point3_<_Tp>::Point3_(const Point_<_Tp>& pt) : x(pt.x), y(pt.y), z(_Tp()) {} template inline Point3_<_Tp>::Point3_(const Vec<_Tp, 3>& v) : x(v[0]), y(v[1]), z(v[2]) {} template template inline Point3_<_Tp>::operator Point3_<_Tp2>() const { return Point3_<_Tp2>(saturate_cast<_Tp2>(x), saturate_cast<_Tp2>(y), saturate_cast<_Tp2>(z)); } template inline Point3_<_Tp>::operator Vec<_Tp, 3>() const { return Vec<_Tp, 3>(x, y, z); } template inline Point3_<_Tp>& Point3_<_Tp>::operator = (const Point3_& pt) { x = pt.x; y = pt.y; z = pt.z; return *this; } template inline _Tp Point3_<_Tp>::dot(const Point3_& pt) const { return saturate_cast<_Tp>(x*pt.x + y*pt.y + z*pt.z); } template inline double Point3_<_Tp>::ddot(const Point3_& pt) const { return (double)x*pt.x + (double)y*pt.y + (double)z*pt.z; } template inline Point3_<_Tp> Point3_<_Tp>::cross(const Point3_<_Tp>& pt) const { return Point3_<_Tp>(y*pt.z - z*pt.y, z*pt.x - x*pt.z, x*pt.y - y*pt.x); } template static inline Point3_<_Tp>& operator += (Point3_<_Tp>& a, const Point3_<_Tp>& b) { a.x += b.x; a.y += b.y; a.z += b.z; return a; } template static inline Point3_<_Tp>& operator -= (Point3_<_Tp>& a, const Point3_<_Tp>& b) { a.x -= b.x; a.y -= b.y; a.z -= b.z; return a; } template static inline Point3_<_Tp>& operator *= (Point3_<_Tp>& a, int b) { a.x = saturate_cast<_Tp>(a.x * b); a.y = saturate_cast<_Tp>(a.y * b); a.z = saturate_cast<_Tp>(a.z * b); return a; } template static inline Point3_<_Tp>& operator *= (Point3_<_Tp>& a, float b) { a.x = saturate_cast<_Tp>(a.x * b); a.y = saturate_cast<_Tp>(a.y * b); a.z = saturate_cast<_Tp>(a.z * b); return a; } template static inline Point3_<_Tp>& operator *= (Point3_<_Tp>& a, double b) { a.x = saturate_cast<_Tp>(a.x * b); a.y = saturate_cast<_Tp>(a.y * b); a.z = saturate_cast<_Tp>(a.z * b); return a; } template static inline Point3_<_Tp>& operator /= (Point3_<_Tp>& a, int b) { a.x = saturate_cast<_Tp>(a.x / b); a.y = saturate_cast<_Tp>(a.y / b); a.z = saturate_cast<_Tp>(a.z / b); return a; } template static inline Point3_<_Tp>& operator /= (Point3_<_Tp>& a, float b) { a.x = saturate_cast<_Tp>(a.x / b); a.y = saturate_cast<_Tp>(a.y / b); a.z = saturate_cast<_Tp>(a.z / b); return a; } template static inline Point3_<_Tp>& operator /= (Point3_<_Tp>& a, double b) { a.x = saturate_cast<_Tp>(a.x / b); a.y = saturate_cast<_Tp>(a.y / b); a.z = saturate_cast<_Tp>(a.z / b); return a; } template static inline double norm(const Point3_<_Tp>& pt) { return std::sqrt((double)pt.x*pt.x + (double)pt.y*pt.y + (double)pt.z*pt.z); } template static inline bool operator == (const Point3_<_Tp>& a, const Point3_<_Tp>& b) { return a.x == b.x && a.y == b.y && a.z == b.z; } template static inline bool operator != (const Point3_<_Tp>& a, const Point3_<_Tp>& b) { return a.x != b.x || a.y != b.y || a.z != b.z; } template static inline Point3_<_Tp> operator + (const Point3_<_Tp>& a, const Point3_<_Tp>& b) { return Point3_<_Tp>( saturate_cast<_Tp>(a.x + b.x), saturate_cast<_Tp>(a.y + b.y), saturate_cast<_Tp>(a.z + b.z)); } template static inline Point3_<_Tp> operator - (const Point3_<_Tp>& a, const Point3_<_Tp>& b) { return Point3_<_Tp>( saturate_cast<_Tp>(a.x - b.x), saturate_cast<_Tp>(a.y - b.y), saturate_cast<_Tp>(a.z - b.z)); } template static inline Point3_<_Tp> operator - (const Point3_<_Tp>& a) { return Point3_<_Tp>( saturate_cast<_Tp>(-a.x), saturate_cast<_Tp>(-a.y), saturate_cast<_Tp>(-a.z) ); } template static inline Point3_<_Tp> operator * (const Point3_<_Tp>& a, int b) { return Point3_<_Tp>( saturate_cast<_Tp>(a.x*b), saturate_cast<_Tp>(a.y*b), saturate_cast<_Tp>(a.z*b) ); } template static inline Point3_<_Tp> operator * (int a, const Point3_<_Tp>& b) { return Point3_<_Tp>( saturate_cast<_Tp>(b.x * a), saturate_cast<_Tp>(b.y * a), saturate_cast<_Tp>(b.z * a) ); } template static inline Point3_<_Tp> operator * (const Point3_<_Tp>& a, float b) { return Point3_<_Tp>( saturate_cast<_Tp>(a.x * b), saturate_cast<_Tp>(a.y * b), saturate_cast<_Tp>(a.z * b) ); } template static inline Point3_<_Tp> operator * (float a, const Point3_<_Tp>& b) { return Point3_<_Tp>( saturate_cast<_Tp>(b.x * a), saturate_cast<_Tp>(b.y * a), saturate_cast<_Tp>(b.z * a) ); } template static inline Point3_<_Tp> operator * (const Point3_<_Tp>& a, double b) { return Point3_<_Tp>( saturate_cast<_Tp>(a.x * b), saturate_cast<_Tp>(a.y * b), saturate_cast<_Tp>(a.z * b) ); } template static inline Point3_<_Tp> operator * (double a, const Point3_<_Tp>& b) { return Point3_<_Tp>( saturate_cast<_Tp>(b.x * a), saturate_cast<_Tp>(b.y * a), saturate_cast<_Tp>(b.z * a) ); } template static inline Point3_<_Tp> operator * (const Matx<_Tp, 3, 3>& a, const Point3_<_Tp>& b) { Matx<_Tp, 3, 1> tmp = a * Vec<_Tp,3>(b.x, b.y, b.z); return Point3_<_Tp>(tmp.val[0], tmp.val[1], tmp.val[2]); } template static inline Matx<_Tp, 4, 1> operator * (const Matx<_Tp, 4, 4>& a, const Point3_<_Tp>& b) { return a * Matx<_Tp, 4, 1>(b.x, b.y, b.z, 1); } template static inline Point3_<_Tp> operator / (const Point3_<_Tp>& a, int b) { Point3_<_Tp> tmp(a); tmp /= b; return tmp; } template static inline Point3_<_Tp> operator / (const Point3_<_Tp>& a, float b) { Point3_<_Tp> tmp(a); tmp /= b; return tmp; } template static inline Point3_<_Tp> operator / (const Point3_<_Tp>& a, double b) { Point3_<_Tp> tmp(a); tmp /= b; return tmp; } ////////////////////////////////// Size ///////////////////////////////// template inline Size_<_Tp>::Size_() : width(0), height(0) {} template inline Size_<_Tp>::Size_(_Tp _width, _Tp _height) : width(_width), height(_height) {} template inline Size_<_Tp>::Size_(const Size_& sz) : width(sz.width), height(sz.height) {} template inline Size_<_Tp>::Size_(const Point_<_Tp>& pt) : width(pt.x), height(pt.y) {} template template inline Size_<_Tp>::operator Size_<_Tp2>() const { return Size_<_Tp2>(saturate_cast<_Tp2>(width), saturate_cast<_Tp2>(height)); } template inline Size_<_Tp>& Size_<_Tp>::operator = (const Size_<_Tp>& sz) { width = sz.width; height = sz.height; return *this; } template inline _Tp Size_<_Tp>::area() const { return width * height; } template static inline Size_<_Tp>& operator *= (Size_<_Tp>& a, _Tp b) { a.width *= b; a.height *= b; return a; } template static inline Size_<_Tp> operator * (const Size_<_Tp>& a, _Tp b) { Size_<_Tp> tmp(a); tmp *= b; return tmp; } template static inline Size_<_Tp>& operator /= (Size_<_Tp>& a, _Tp b) { a.width /= b; a.height /= b; return a; } template static inline Size_<_Tp> operator / (const Size_<_Tp>& a, _Tp b) { Size_<_Tp> tmp(a); tmp /= b; return tmp; } template static inline Size_<_Tp>& operator += (Size_<_Tp>& a, const Size_<_Tp>& b) { a.width += b.width; a.height += b.height; return a; } template static inline Size_<_Tp> operator + (const Size_<_Tp>& a, const Size_<_Tp>& b) { Size_<_Tp> tmp(a); tmp += b; return tmp; } template static inline Size_<_Tp>& operator -= (Size_<_Tp>& a, const Size_<_Tp>& b) { a.width -= b.width; a.height -= b.height; return a; } template static inline Size_<_Tp> operator - (const Size_<_Tp>& a, const Size_<_Tp>& b) { Size_<_Tp> tmp(a); tmp -= b; return tmp; } template static inline bool operator == (const Size_<_Tp>& a, const Size_<_Tp>& b) { return a.width == b.width && a.height == b.height; } template static inline bool operator != (const Size_<_Tp>& a, const Size_<_Tp>& b) { return !(a == b); } ////////////////////////////////// Rect ///////////////////////////////// template inline Rect_<_Tp>::Rect_() : x(0), y(0), width(0), height(0) {} template inline Rect_<_Tp>::Rect_(_Tp _x, _Tp _y, _Tp _width, _Tp _height) : x(_x), y(_y), width(_width), height(_height) {} template inline Rect_<_Tp>::Rect_(const Rect_<_Tp>& r) : x(r.x), y(r.y), width(r.width), height(r.height) {} template inline Rect_<_Tp>::Rect_(const Point_<_Tp>& org, const Size_<_Tp>& sz) : x(org.x), y(org.y), width(sz.width), height(sz.height) {} template inline Rect_<_Tp>::Rect_(const Point_<_Tp>& pt1, const Point_<_Tp>& pt2) { x = std::min(pt1.x, pt2.x); y = std::min(pt1.y, pt2.y); width = std::max(pt1.x, pt2.x) - x; height = std::max(pt1.y, pt2.y) - y; } template inline Rect_<_Tp>& Rect_<_Tp>::operator = ( const Rect_<_Tp>& r ) { x = r.x; y = r.y; width = r.width; height = r.height; return *this; } template inline Point_<_Tp> Rect_<_Tp>::tl() const { return Point_<_Tp>(x,y); } template inline Point_<_Tp> Rect_<_Tp>::br() const { return Point_<_Tp>(x + width, y + height); } template inline Size_<_Tp> Rect_<_Tp>::size() const { return Size_<_Tp>(width, height); } template inline _Tp Rect_<_Tp>::area() const { return width * height; } template template inline Rect_<_Tp>::operator Rect_<_Tp2>() const { return Rect_<_Tp2>(saturate_cast<_Tp2>(x), saturate_cast<_Tp2>(y), saturate_cast<_Tp2>(width), saturate_cast<_Tp2>(height)); } template inline bool Rect_<_Tp>::contains(const Point_<_Tp>& pt) const { return x <= pt.x && pt.x < x + width && y <= pt.y && pt.y < y + height; } template static inline Rect_<_Tp>& operator += ( Rect_<_Tp>& a, const Point_<_Tp>& b ) { a.x += b.x; a.y += b.y; return a; } template static inline Rect_<_Tp>& operator -= ( Rect_<_Tp>& a, const Point_<_Tp>& b ) { a.x -= b.x; a.y -= b.y; return a; } template static inline Rect_<_Tp>& operator += ( Rect_<_Tp>& a, const Size_<_Tp>& b ) { a.width += b.width; a.height += b.height; return a; } template static inline Rect_<_Tp>& operator -= ( Rect_<_Tp>& a, const Size_<_Tp>& b ) { a.width -= b.width; a.height -= b.height; return a; } template static inline Rect_<_Tp>& operator &= ( Rect_<_Tp>& a, const Rect_<_Tp>& b ) { _Tp x1 = std::max(a.x, b.x); _Tp y1 = std::max(a.y, b.y); a.width = std::min(a.x + a.width, b.x + b.width) - x1; a.height = std::min(a.y + a.height, b.y + b.height) - y1; a.x = x1; a.y = y1; if( a.width <= 0 || a.height <= 0 ) a = Rect(); return a; } template static inline Rect_<_Tp>& operator |= ( Rect_<_Tp>& a, const Rect_<_Tp>& b ) { _Tp x1 = std::min(a.x, b.x); _Tp y1 = std::min(a.y, b.y); a.width = std::max(a.x + a.width, b.x + b.width) - x1; a.height = std::max(a.y + a.height, b.y + b.height) - y1; a.x = x1; a.y = y1; return a; } template static inline bool operator == (const Rect_<_Tp>& a, const Rect_<_Tp>& b) { return a.x == b.x && a.y == b.y && a.width == b.width && a.height == b.height; } template static inline bool operator != (const Rect_<_Tp>& a, const Rect_<_Tp>& b) { return a.x != b.x || a.y != b.y || a.width != b.width || a.height != b.height; } template static inline Rect_<_Tp> operator + (const Rect_<_Tp>& a, const Point_<_Tp>& b) { return Rect_<_Tp>( a.x + b.x, a.y + b.y, a.width, a.height ); } template static inline Rect_<_Tp> operator - (const Rect_<_Tp>& a, const Point_<_Tp>& b) { return Rect_<_Tp>( a.x - b.x, a.y - b.y, a.width, a.height ); } template static inline Rect_<_Tp> operator + (const Rect_<_Tp>& a, const Size_<_Tp>& b) { return Rect_<_Tp>( a.x, a.y, a.width + b.width, a.height + b.height ); } template static inline Rect_<_Tp> operator & (const Rect_<_Tp>& a, const Rect_<_Tp>& b) { Rect_<_Tp> c = a; return c &= b; } template static inline Rect_<_Tp> operator | (const Rect_<_Tp>& a, const Rect_<_Tp>& b) { Rect_<_Tp> c = a; return c |= b; } ////////////////////////////// RotatedRect ////////////////////////////// inline RotatedRect::RotatedRect() : center(), size(), angle(0) {} inline RotatedRect::RotatedRect(const Point2f& _center, const Size2f& _size, float _angle) : center(_center), size(_size), angle(_angle) {} ///////////////////////////////// Range ///////////////////////////////// inline Range::Range() : start(0), end(0) {} inline Range::Range(int _start, int _end) : start(_start), end(_end) {} inline int Range::size() const { return end - start; } inline bool Range::empty() const { return start == end; } inline Range Range::all() { return Range(INT_MIN, INT_MAX); } static inline bool operator == (const Range& r1, const Range& r2) { return r1.start == r2.start && r1.end == r2.end; } static inline bool operator != (const Range& r1, const Range& r2) { return !(r1 == r2); } static inline bool operator !(const Range& r) { return r.start == r.end; } static inline Range operator & (const Range& r1, const Range& r2) { Range r(std::max(r1.start, r2.start), std::min(r1.end, r2.end)); r.end = std::max(r.end, r.start); return r; } static inline Range& operator &= (Range& r1, const Range& r2) { r1 = r1 & r2; return r1; } static inline Range operator + (const Range& r1, int delta) { return Range(r1.start + delta, r1.end + delta); } static inline Range operator + (int delta, const Range& r1) { return Range(r1.start + delta, r1.end + delta); } static inline Range operator - (const Range& r1, int delta) { return r1 + (-delta); } ///////////////////////////////// Scalar //////////////////////////////// template inline Scalar_<_Tp>::Scalar_() { this->val[0] = this->val[1] = this->val[2] = this->val[3] = 0; } template inline Scalar_<_Tp>::Scalar_(_Tp v0, _Tp v1, _Tp v2, _Tp v3) { this->val[0] = v0; this->val[1] = v1; this->val[2] = v2; this->val[3] = v3; } template template inline Scalar_<_Tp>::Scalar_(const Vec<_Tp2, cn>& v) { int i; for( i = 0; i < (cn < 4 ? cn : 4); i++ ) this->val[i] = cv::saturate_cast<_Tp>(v.val[i]); for( ; i < 4; i++ ) this->val[i] = 0; } template inline Scalar_<_Tp>::Scalar_(_Tp v0) { this->val[0] = v0; this->val[1] = this->val[2] = this->val[3] = 0; } template inline Scalar_<_Tp> Scalar_<_Tp>::all(_Tp v0) { return Scalar_<_Tp>(v0, v0, v0, v0); } template inline Scalar_<_Tp> Scalar_<_Tp>::mul(const Scalar_<_Tp>& a, double scale ) const { return Scalar_<_Tp>(saturate_cast<_Tp>(this->val[0] * a.val[0] * scale), saturate_cast<_Tp>(this->val[1] * a.val[1] * scale), saturate_cast<_Tp>(this->val[2] * a.val[2] * scale), saturate_cast<_Tp>(this->val[3] * a.val[3] * scale)); } template inline Scalar_<_Tp> Scalar_<_Tp>::conj() const { return Scalar_<_Tp>(saturate_cast<_Tp>( this->val[0]), saturate_cast<_Tp>(-this->val[1]), saturate_cast<_Tp>(-this->val[2]), saturate_cast<_Tp>(-this->val[3])); } template inline bool Scalar_<_Tp>::isReal() const { return this->val[1] == 0 && this->val[2] == 0 && this->val[3] == 0; } template template inline Scalar_<_Tp>::operator Scalar_() const { return Scalar_(saturate_cast(this->val[0]), saturate_cast(this->val[1]), saturate_cast(this->val[2]), saturate_cast(this->val[3])); } template static inline Scalar_<_Tp>& operator += (Scalar_<_Tp>& a, const Scalar_<_Tp>& b) { a.val[0] += b.val[0]; a.val[1] += b.val[1]; a.val[2] += b.val[2]; a.val[3] += b.val[3]; return a; } template static inline Scalar_<_Tp>& operator -= (Scalar_<_Tp>& a, const Scalar_<_Tp>& b) { a.val[0] -= b.val[0]; a.val[1] -= b.val[1]; a.val[2] -= b.val[2]; a.val[3] -= b.val[3]; return a; } template static inline Scalar_<_Tp>& operator *= ( Scalar_<_Tp>& a, _Tp v ) { a.val[0] *= v; a.val[1] *= v; a.val[2] *= v; a.val[3] *= v; return a; } template static inline bool operator == ( const Scalar_<_Tp>& a, const Scalar_<_Tp>& b ) { return a.val[0] == b.val[0] && a.val[1] == b.val[1] && a.val[2] == b.val[2] && a.val[3] == b.val[3]; } template static inline bool operator != ( const Scalar_<_Tp>& a, const Scalar_<_Tp>& b ) { return a.val[0] != b.val[0] || a.val[1] != b.val[1] || a.val[2] != b.val[2] || a.val[3] != b.val[3]; } template static inline Scalar_<_Tp> operator + (const Scalar_<_Tp>& a, const Scalar_<_Tp>& b) { return Scalar_<_Tp>(a.val[0] + b.val[0], a.val[1] + b.val[1], a.val[2] + b.val[2], a.val[3] + b.val[3]); } template static inline Scalar_<_Tp> operator - (const Scalar_<_Tp>& a, const Scalar_<_Tp>& b) { return Scalar_<_Tp>(saturate_cast<_Tp>(a.val[0] - b.val[0]), saturate_cast<_Tp>(a.val[1] - b.val[1]), saturate_cast<_Tp>(a.val[2] - b.val[2]), saturate_cast<_Tp>(a.val[3] - b.val[3])); } template static inline Scalar_<_Tp> operator * (const Scalar_<_Tp>& a, _Tp alpha) { return Scalar_<_Tp>(a.val[0] * alpha, a.val[1] * alpha, a.val[2] * alpha, a.val[3] * alpha); } template static inline Scalar_<_Tp> operator * (_Tp alpha, const Scalar_<_Tp>& a) { return a*alpha; } template static inline Scalar_<_Tp> operator - (const Scalar_<_Tp>& a) { return Scalar_<_Tp>(saturate_cast<_Tp>(-a.val[0]), saturate_cast<_Tp>(-a.val[1]), saturate_cast<_Tp>(-a.val[2]), saturate_cast<_Tp>(-a.val[3])); } template static inline Scalar_<_Tp> operator * (const Scalar_<_Tp>& a, const Scalar_<_Tp>& b) { return Scalar_<_Tp>(saturate_cast<_Tp>(a[0]*b[0] - a[1]*b[1] - a[2]*b[2] - a[3]*b[3]), saturate_cast<_Tp>(a[0]*b[1] + a[1]*b[0] + a[2]*b[3] - a[3]*b[2]), saturate_cast<_Tp>(a[0]*b[2] - a[1]*b[3] + a[2]*b[0] + a[3]*b[1]), saturate_cast<_Tp>(a[0]*b[3] + a[1]*b[2] - a[2]*b[1] + a[3]*b[0])); } template static inline Scalar_<_Tp>& operator *= (Scalar_<_Tp>& a, const Scalar_<_Tp>& b) { a = a * b; return a; } template static inline Scalar_<_Tp> operator / (const Scalar_<_Tp>& a, _Tp alpha) { return Scalar_<_Tp>(a.val[0] / alpha, a.val[1] / alpha, a.val[2] / alpha, a.val[3] / alpha); } template static inline Scalar_ operator / (const Scalar_& a, float alpha) { float s = 1 / alpha; return Scalar_(a.val[0] * s, a.val[1] * s, a.val[2] * s, a.val[3] * s); } template static inline Scalar_ operator / (const Scalar_& a, double alpha) { double s = 1 / alpha; return Scalar_(a.val[0] * s, a.val[1] * s, a.val[2] * s, a.val[3] * s); } template static inline Scalar_<_Tp>& operator /= (Scalar_<_Tp>& a, _Tp alpha) { a = a / alpha; return a; } template static inline Scalar_<_Tp> operator / (_Tp a, const Scalar_<_Tp>& b) { _Tp s = a / (b[0]*b[0] + b[1]*b[1] + b[2]*b[2] + b[3]*b[3]); return b.conj() * s; } template static inline Scalar_<_Tp> operator / (const Scalar_<_Tp>& a, const Scalar_<_Tp>& b) { return a * ((_Tp)1 / b); } template static inline Scalar_<_Tp>& operator /= (Scalar_<_Tp>& a, const Scalar_<_Tp>& b) { a = a / b; return a; } template static inline Scalar operator * (const Matx<_Tp, 4, 4>& a, const Scalar& b) { Matx c((Matx)a, b, Matx_MatMulOp()); return reinterpret_cast(c); } template<> inline Scalar operator * (const Matx& a, const Scalar& b) { Matx c(a, b, Matx_MatMulOp()); return reinterpret_cast(c); } //////////////////////////////// KeyPoint /////////////////////////////// inline KeyPoint::KeyPoint() : pt(0,0), size(0), angle(-1), response(0), octave(0), class_id(-1) {} inline KeyPoint::KeyPoint(Point2f _pt, float _size, float _angle, float _response, int _octave, int _class_id) : pt(_pt), size(_size), angle(_angle), response(_response), octave(_octave), class_id(_class_id) {} inline KeyPoint::KeyPoint(float x, float y, float _size, float _angle, float _response, int _octave, int _class_id) : pt(x, y), size(_size), angle(_angle), response(_response), octave(_octave), class_id(_class_id) {} ///////////////////////////////// DMatch //////////////////////////////// inline DMatch::DMatch() : queryIdx(-1), trainIdx(-1), imgIdx(-1), distance(FLT_MAX) {} inline DMatch::DMatch(int _queryIdx, int _trainIdx, float _distance) : queryIdx(_queryIdx), trainIdx(_trainIdx), imgIdx(-1), distance(_distance) {} inline DMatch::DMatch(int _queryIdx, int _trainIdx, int _imgIdx, float _distance) : queryIdx(_queryIdx), trainIdx(_trainIdx), imgIdx(_imgIdx), distance(_distance) {} inline bool DMatch::operator < (const DMatch &m) const { return distance < m.distance; } ////////////////////////////// TermCriteria ///////////////////////////// inline TermCriteria::TermCriteria() : type(0), maxCount(0), epsilon(0) {} inline TermCriteria::TermCriteria(int _type, int _maxCount, double _epsilon) : type(_type), maxCount(_maxCount), epsilon(_epsilon) {} //! @endcond } // cv #endif //__OPENCV_CORE_TYPES_HPP__