@@ -464,8 +446,6 @@ Draws several polygonal curves.
.. ocv:cfunction:: void cvPolyLine( CvArr* img, CvPoint** pts, const int* npts, int contours, int is_closed, CvScalar color, int thickness=1, int line_type=8, int shift=0 )
:param memstorage: Memory storage for dynamic structures, such as :ocv:struct:`CvSeq` or :ocv:struct:`CvGraph` . It is not used for matrices or images.
@@ -95,8 +94,6 @@ Computes the cube root of an argument.
.. ocv:cfunction:: float cvCbrt( float value )
.. ocv:pyoldfunction:: cv.Cbrt(value)-> float
:param val: A function argument.
The function ``cubeRoot`` computes :math:`\sqrt[3]{\texttt{val}}`. Negative arguments are handled correctly. NaN and Inf are not handled. The accuracy approaches the maximum possible accuracy for single-precision data.
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@@ -107,7 +104,6 @@ Ceil
Rounds floating-point number to the nearest integer not smaller than the original.
.. ocv:cfunction:: int cvCeil(double value)
.. ocv:pyoldfunction:: cv.Ceil(value) -> int
:param value: floating-point number. If the value is outside of ``INT_MIN`` ... ``INT_MAX`` range, the result is not defined.
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@@ -123,7 +119,6 @@ Floor
Rounds floating-point number to the nearest integer not larger than the original.
.. ocv:cfunction:: int cvFloor(double value)
.. ocv:pyoldfunction:: cv.Floor(value) -> int
:param value: floating-point number. If the value is outside of ``INT_MIN`` ... ``INT_MAX`` range, the result is not defined.
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@@ -139,7 +134,6 @@ Round
Rounds floating-point number to the nearest integer
.. ocv:cfunction:: int cvRound(double value)
.. ocv:pyoldfunction:: cv.Round(value) -> int
:param value: floating-point number. If the value is outside of ``INT_MIN`` ... ``INT_MAX`` range, the result is not defined.
@@ -308,8 +300,6 @@ Grabs the next frame from video file or capturing device.
.. ocv:cfunction:: int cvGrabFrame(CvCapture* capture)
.. ocv:pyoldfunction:: cv.GrabFrame(capture) -> int
The methods/functions grab the next frame from video file or camera and return true (non-zero) in the case of success.
The primary use of the function is in multi-camera environments, especially when the cameras do not have hardware synchronization. That is, you call ``VideoCapture::grab()`` for each camera and after that call the slower method ``VideoCapture::retrieve()`` to decode and get frame from each camera. This way the overhead on demosaicing or motion jpeg decompression etc. is eliminated and the retrieved frames from different cameras will be closer in time.
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@@ -327,8 +317,6 @@ Decodes and returns the grabbed video frame.
.. ocv:cfunction:: IplImage* cvRetrieveFrame( CvCapture* capture, int streamIdx=0 )
The methods/functions decode and return the just grabbed frame. If no frames has been grabbed (camera has been disconnected, or there are no more frames in video file), the methods return false and the functions return NULL pointer.
.. note:: OpenCV 1.x functions ``cvRetrieveFrame`` and ``cv.RetrieveFrame`` return image stored inside the video capturing structure. It is not allowed to modify or release the image! You can copy the frame using :ocv:cfunc:`cvCloneImage` and then do whatever you want with the copy.
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@@ -346,8 +334,6 @@ Grabs, decodes and returns the next video frame.
The methods/functions combine :ocv:func:`VideoCapture::grab` and :ocv:func:`VideoCapture::retrieve` in one call. This is the most convenient method for reading video files or capturing data from decode and return the just grabbed frame. If no frames has been grabbed (camera has been disconnected, or there are no more frames in video file), the methods return false and the functions return NULL pointer.
.. note:: OpenCV 1.x functions ``cvRetrieveFrame`` and ``cv.RetrieveFrame`` return image stored inside the video capturing structure. It is not allowed to modify or release the image! You can copy the frame using :ocv:cfunc:`cvCloneImage` and then do whatever you want with the copy.
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@@ -363,9 +349,6 @@ Returns the specified ``VideoCapture`` property
.. ocv:cfunction:: double cvGetCaptureProperty( CvCapture* capture, int property_id )
: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 :ocv:func:`imshow` ), and you cannot change the window size manually.
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@@ -125,8 +117,6 @@ Destroys a window.
.. ocv:cfunction:: void cvDestroyWindow( const char* name )
:param onMouse: Mouse callback. See OpenCV samples, such as http://code.opencv.org/projects/opencv/repository/revisions/master/entry/samples/cpp/ffilldemo.cpp, on how to specify and use the callback.
:param image: 8-bit, single-channel binary source image. The image may be modified by the function.
:param lines: Output vector of lines. Each line is represented by a two-element vector :math:`(\rho, \theta)` . :math:`\rho` is the distance from the coordinate origin :math:`(0,0)` (top-left corner of the image). :math:`\theta` is the line rotation angle in radians ( :math:`0 \sim \textrm{vertical line}, \pi/2 \sim \textrm{horizontal line}` ).
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@@ -510,8 +496,6 @@ Calculates a feature map for corner detection.
:param src: input image; the number of channels can be arbitrary, but the depth should be one of ``CV_8U``, ``CV_16U``, ``CV_16S``, ``CV_32F` or ``CV_64F``.
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@@ -790,7 +789,6 @@ Erodes an image by using a specific structuring element.
:param src: input image; the number of channels can be arbitrary, but the depth should be one of ``CV_8U``, ``CV_16U``, ``CV_16S``, ``CV_32F` or ``CV_64F``.
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@@ -832,8 +830,6 @@ Convolves an image with the kernel.
:param src: Source image. The number of channels can be arbitrary. The depth should be one of ``CV_8U``, ``CV_16U``, ``CV_16S``, ``CV_32F` or ``CV_64F``.
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@@ -1168,8 +1161,6 @@ Calculates the Laplacian of an image.
: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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@@ -630,8 +610,6 @@ Transforms an image to compensate for lens distortion.
:param images: 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.
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@@ -113,7 +112,6 @@ Calculates the back projection of a histogram.
:param images: 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 signature1: First signature, a :math:`\texttt{size1}\times \texttt{dims}+1` floating-point matrix. Each row stores the point weight followed by the point coordinates. The matrix is allowed to have a single column (weights only) if the user-defined cost matrix is used.
:param signature2: Second signature of the same format as ``signature1`` , though the number of rows may be different. The total weights may be different. In this case an extra "dummy" point is added to either ``signature1`` or ``signature2`` .
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@@ -304,8 +299,6 @@ Locates a template within an image by using a histogram comparison.
: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.
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@@ -603,8 +597,6 @@ Calculates the integral of an image.
:param array: 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.
.. ocv:pyoldfunction:: cv.GetHuMoments(moments) -> hu
:param moments: Input moments computed with :ocv:func:`moments` .
:param hu: Output Hu invariants.
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@@ -163,8 +159,6 @@ Finds contours in a binary image.
.. ocv:cfunction:: int cvFindContours( CvArr* image, CvMemStorage* storage, CvSeq** first_contour, int header_size=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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@@ -243,8 +237,6 @@ Approximates Freeman chain(s) with a polygonal curve.
.. ocv:cfunction:: CvSeq* cvApproxChains( CvSeq* src_seq, CvMemStorage* storage, int method=CV_CHAIN_APPROX_SIMPLE, double parameter=0, int minimal_perimeter=0, int recursive=0 )
:param contour: Input vector of 2D points (contour vertices), stored in ``std::vector`` or ``Mat``.
:param oriented: 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 the sign of an area. By default, the parameter is ``false``, which means that the absolute value is returned.
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@@ -349,8 +336,6 @@ Finds the convex hull of a point set.
.. ocv:cfunction:: CvSeq* cvConvexHull2( const CvArr* input, void* hull_storage=NULL, int orientation=CV_CLOCKWISE, int return_points=0 )
:param points: Input 2D point set, stored in ``std::vector`` or ``Mat``.
:param hull: Output convex hull. It is either an integer vector of indices or vector of points. In the first case, the ``hull`` elements are 0-based indices of the convex hull points in the original array (since the set of convex hull points is a subset of the original point set). In the second case, ``hull`` elements are the convex hull points themselves.
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@@ -379,8 +364,6 @@ Finds the convexity defects of a contour.
@@ -434,8 +416,6 @@ Fits a line to a 2D or 3D point set.
.. ocv:cfunction:: void cvFitLine( const CvArr* points, int dist_type, double param, double reps, double aeps, float* line )
.. ocv:pyoldfunction:: cv.FitLine(points, dist_type, 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.
:param cascade: Haar classifier cascade (OpenCV 1.x API only). It can be loaded from XML or YAML file using :ocv:cfunc:`Load`. When the cascade is not needed anymore, release it using ``cvReleaseHaarClassifierCascade(&cascade)``.
:param image: Matrix of the type ``CV_8U`` containing an image where objects are detected.
