:param image: Source chessboard view. It must be an 8-bit grayscale or color image.
:param patternSize: Number of inner corners per a chessboard row and column ``( patternSize = cvSize(points_per_row,points_per_colum) = cvSize(columns,rows) )``.
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@@ -549,6 +564,9 @@ findFundamentalMat
Calculates a fundamental matrix from the corresponding points in two images.
.. ocv:cfunction:: int cvFindFundamentalMat( const CvMat* points1, const CvMat* points2, CvMat* fundamentalMatrix, int method=CV_FM_RANSAC, double param1=1., double param2=0.99, CvMat* status=NULL)
:param distCoeffs: Input vector of distortion coefficients :math:`(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6]])` of 4, 5, or 8 elements. If the vector is NULL/empty, the zero distortion coefficients are assumed.
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@@ -817,6 +841,9 @@ reprojectImageTo3D
Reprojects a disparity image to 3D space.
.. ocv:cfunction:: void cvReprojectImageTo3D( const CvArr* disparity, CvArr* _3dImage, const CvMat* Q, int handleMissingValues=0)
.. ocv:pyoldfunction:: ReprojectImageTo3D(disparity, _3dImage, Q, handleMissingValues=0) -> None
:param disparity: Input single-channel 16-bit signed or 32-bit floating-point disparity image.
:param _3dImage: Output 3-channel floating-point image of the same size as ``disparity`` . Each element of ``_3dImage(x,y)`` contains 3D coordinates of the point ``(x,y)`` computed from the disparity map.
:param src1: First multiplied input matrix that should have ``CV_32FC1`` , ``CV_64FC1`` , ``CV_32FC2`` , or ``CV_64FC2`` type.
:param src2: Second multiplied input matrix of the same type as ``src1`` .
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@@ -1158,6 +1211,9 @@ Returns the optimal DFT size for a given vector size.
.. ocv:function:: int getOptimalDFTSize(int vecsize)
.. ocv:cfunction:: int cvGetOptimalDFTSize(int size0)
.. ocv:pyoldfunction:: GetOptimalDFTSize(size0)-> int
:param vecsize: Vector size.
DFT performance is not a monotonic function of a vector size. Therefore, when you compute convolution of two arrays or perform the spectral analysis of an array, it usually makes sense to pad the input data with zeros to get a bit larger array that can be transformed much faster than the original one.
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@@ -1232,6 +1288,11 @@ Checks if array elements lie between the elements of two other arrays.
:param lut: Look-up table of 256 elements. In case of multi-channel source array, the table should either have a single channel (in this case the same table is used for all channels) or the same number of channels as in the source array.
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@@ -1391,6 +1461,8 @@ Calculates the Mahalanobis distance between two vectors.
.. ocv:cfunction:: void cvPolarToCart( const CvArr* magnitude, const CvArr* angle, CvArr* x, CvArr* y, int angleInDegrees=0)
.. ocv:pyoldfunction:: PolarToCart(magnitude, angle, x, y, angleInDegrees=0)-> None
:param magnitude: Source floating-point array of magnitudes of 2D vectors. It can be an empty matrix ( ``=Mat()`` ). In this case, the function assumes that all the magnitudes are =1. If it is not empty, it must have the same size and type as ``angle`` .
:param angle: Source floating-point array of angles of 2D vectors.
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@@ -2150,6 +2256,9 @@ Raises every array element to a power.
:param mv: Destination array or vector of arrays. In the first variant of the function the number of arrays must match ``mtx.channels()`` . The arrays themselves are reallocated, if needed.
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@@ -2753,6 +2883,9 @@ Calculates a quare root of array elements.
@@ -63,6 +63,8 @@ Changes parameters of a window dynamically.
.. ocv:function:: void setWindowProperty(const string& name, int prop_id, double prop_value)
.. ocv:cfunction:: void cvSetWindowProperty(const char* name, int propId, double propValue)
:param name: Name of the window.
:param prop_id: Window property to edit. The following operation flags are available:
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@@ -95,6 +97,8 @@ Provides parameters of a window.
.. ocv:function:: void getWindowProperty(const string& name, int prop_id)
.. ocv:cfunction:: void cvGetWindowProperty(const char* name, int propId)
:param name: Name of the window.
:param prop_id: Window property to retrive. The following operation flags are available:
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@@ -117,6 +121,8 @@ Creates the font to draw a text on an image.
.. ocv:function:: CvFont fontQt(const string& nameFont, int pointSize = -1, Scalar color = Scalar::all(0), int weight = CV_FONT_NORMAL, int style = CV_STYLE_NORMAL, int spacing = 0)
.. ocv:cfunction:: CvFont cvFontQt(const char* nameFont, int pointSize=-1, CvScalar color=cvScalarAll(0), int weight=CV_FONT_NORMAL, int style=CV_STYLE_NORMAL, int spacing=0)
:param nameFont: Name of the font. The name should match the name of a system font (such as *Times*). If the font is not found, a default one is used.
:param pointSize: Size of the font. If not specified, equal zero or negative, the point size of the font is set to a system-dependent default value. Generally, this is 12 points.
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@@ -161,6 +167,8 @@ Creates the font to draw a text on an image.
The function ``loadWindowParameters`` loads size, location, flags, trackbars value, zoom and panning location of the window
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@@ -289,6 +307,8 @@ Attaches a button to the control panel.
.. ocv:function:: createButton( const string& button_name CV_DEFAULT(NULL),ButtonCallback on_change CV_DEFAULT(NULL), void* userdata CV_DEFAULT(NULL), int button_type CV_DEFAULT(CV_PUSH_BUTTON), int initial_button_state CV_DEFAULT(0))
.. ocv:cfunction:: cvCreateButton( const char* buttonName=NULL, CvButtonCallback onChange=NULL, void* userdata=NULL, int buttonType=CV_PUSH_BUTTON, int initialButtonState=0
:param button_name: Name of the button.
:param on_change: Pointer to the function to be called every time the button changes its state. This function should be prototyped as ``void Foo(int state,*void);`` . *state* is the current state of the button. It could be -1 for a push button, 0 or 1 for a check/radio box button.
:param name: Name of the window in the window caption that may be used as a window identifier.
:param flags: Flags of the window. Currently the only supported flag is ``CV_WINDOW_AUTOSIZE`` . If this is set, the window size is automatically adjusted to fit the displayed image (see :ref:`imshow` ), and you cannot change the window size manually.
@@ -524,6 +524,9 @@ Forms a border around an image.
.. ocv:function:: void copyMakeBorder( InputArray src, OutputArray dst, int top, int bottom, int left, int right, int borderType, const Scalar& value=Scalar() )
:param dst: Destination image. It has the specified size and the same type as ``src`` .
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@@ -1263,6 +1281,9 @@ Calculates the first, second, third, or mixed image derivatives using an extende
.. ocv:function:: void Sobel( InputArray src, OutputArray dst, int ddepth, int xorder, int yorder, int ksize=3, double scale=1, double delta=0, int borderType=BORDER_DEFAULT )
.. ocv:cfunction:: void cvSobel( const CvArr* src, CvArr* dst, int xorder, int yorder, int apertureSize=3 )
:param dst: Destination image. It has the size ``dsize`` (when it is non-zero) or the size computed from ``src.size()`` , ``fx`` , and ``fy`` . The type of ``dst`` is the same as of ``src`` .
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@@ -338,6 +355,9 @@ Applies an affine transformation to an image.
.. ocv:function:: void warpAffine( InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar& borderValue=Scalar())
:param cameraMatrix: Input camera matrix :math:`A=\vecthreethree{f_x}{0}{c_x}{0}{f_y}{c_y}{0}{0}{1}` .
:param distCoeffs: Input vector of distortion coefficients :math:`(k_1, k_2, p_1, p_2[, k_3[, k_4, k_5, k_6]])` of 4, 5, or 8 elements. If the vector is NULL/empty, the zero distortion coefficients are assumed.
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@@ -540,6 +566,9 @@ Computes the ideal point coordinates from the observed point coordinates.
:param arrays: Source arrays. They all should have the same depth, ``CV_8U`` or ``CV_32F`` , and the same size. Each of them can have an arbitrary number of channels.
:param narrays: Number of source arrays.
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@@ -105,6 +108,9 @@ Calculates the back projection of a histogram.
:param arrays: Source arrays. They all should have the same depth, ``CV_8U`` or ``CV_32F`` , and the same size. Each of them can have an arbitrary number of channels.
@@ -10,6 +10,9 @@ Applies an adaptive threshold to an array.
.. ocv:function:: void adaptiveThreshold( InputArray src, OutputArray dst, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C )
.. ocv:cfunction:: void cvAdaptiveThreshold( const CvArr* src, CvArr* dst, double maxValue, int adaptiveMethod=CV_ADAPTIVE_THRESH_MEAN_C, int thresholdType=CV_THRESH_BINARY, int blockSize=3, double param1=5 )
:param image: Input/output 1- or 3-channel, 8-bit, or floating-point image. It is modified by the function unless the ``FLOODFILL_MASK_ONLY`` flag is set in the second variant of the function. See the details below.
:param mask: (For the second function only) Operation mask that should be a single-channel 8-bit image, 2 pixels wider and 2 pixels taller. The function uses and updates the mask, so you take responsibility of initializing the ``mask`` content. Flood-filling cannot go across non-zero pixels in the mask. For example, an edge detector output can be used as a mask to stop filling at edges. It is possible to use the same mask in multiple calls to the function to make sure the filled area does not overlap.
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@@ -570,6 +579,9 @@ Restores the selected region in an image using the region neighborhood.
:param array: A raster image (single-channel, 8-bit or floating-point 2D array) or an array ( :math:`1 \times N` or :math:`N \times 1` ) of 2D points (``Point`` or ``Point2f`` ).
:param binaryImage: If it is true, all non-zero image pixels are treated as 1's. The parameter is used for images only.
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@@ -112,6 +115,9 @@ Finds contours in a binary image.
.. ocv:function:: void findContours( InputOutputArray image, OutputArrayOfArrays contours, int mode, int method, Point offset=Point())
.. ocv:cfunction:: int cvFindContours( CvArr* image, CvMemStorage* storage, CvSeq** firstContour, int headerSize=sizeof(CvContour), int mode=CV_RETR_LIST, int method=CV_CHAIN_APPROX_SIMPLE, CvPoint offset=cvPoint(0, 0) )
:param image: Source, an 8-bit single-channel image. Non-zero pixels are treated as 1's. Zero pixels remain 0's, so the image is treated as ``binary`` . You can use :ocv:func:`compare` , :ocv:func:`inRange` , :ocv:func:`threshold` , :ocv:func:`adaptiveThreshold` , :ocv:func:`Canny` , and others to create a binary image out of a grayscale or color one. The function modifies the ``image`` while extracting the contours.
:param contours: Detected contours. Each contour is stored as a vector of points.
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@@ -153,6 +159,9 @@ Draws contours outlines or filled contours.
.. ocv:function:: void drawContours( InputOutputArray image, InputArrayOfArrays contours, int contourIdx, const Scalar& color, int thickness=1, int lineType=8, InputArray hierarchy=noArray(), int maxLevel=INT_MAX, Point offset=Point() )
.. ocv:cfunction:: void cvDrawContours( CvArr *img, CvSeq* contour, CvScalar externalColor, CvScalar holeColor, int maxLevel, int thickness=1, int lineType=8 )
:param contour: Input vector of 2d points (contour vertices), stored in ``std::vector`` or ``Mat``.
:param orientation: Oriented area flag. If it is true, the function returns a signed area value, depending on the contour orientation (clockwise or counter-clockwise). Using this feature you can determine orientation of a contour by taking sign of the area. By default the parameter is ``false``, which means that the absolute value is returned.
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@@ -337,6 +355,9 @@ Fits a line to a 2D or 3D point set.
.. ocv:cfunction:: void cvFitLine( const CvArr* points, int distType, double param, double reps, double aeps, float* line )
.. ocv:pyoldfunction:: FitLine(points, distType, param, reps, aeps) -> line
:param points: Input vector of 2D or 3D points, stored in ``std::vector<>`` or ``Mat``.
:param line: Output line parameters. In case of 2D fitting it should be a vector of 4 elements (like ``Vec4f``) - ``(vx, vy, x0, y0)``, where ``(vx, vy)`` is a normalized vector collinear to the line and ``(x0, y0)`` is a point on the line. In case of 3D fitting, it should be a vector of 6 elements (like ``Vec6f``) - ``(vx, vy, vz, x0, y0, z0)``, where ``(vx, vy, vz)`` is a normalized vector collinear to the line and ``(x0, y0, z0)`` is a point on the line.
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@@ -427,6 +448,9 @@ Finds a circle of the minimum area enclosing a 2D point set.
:param mhi: Motion history single-channel floating-point image.
:param mask: Output mask image that has the type ``CV_8UC1`` and the same size as ``mhi`` . Its non-zero elements mark pixels where the motion gradient data is correct.
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@@ -195,6 +204,9 @@ Calculates a global motion orientation in a selected region.
:param orientation: Motion gradient orientation image calculated by the function :ocv:func:`calcMotionGradient` .
:param mask: Mask image. It may be a conjunction of a valid gradient mask, also calculated by :ocv:func:`calcMotionGradient` , and the mask of a region whose direction needs to be calculated.
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@@ -220,6 +232,9 @@ Splits a motion history image into a few parts corresponding to separate indepen
