: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}` ).
:param lines:Output vector of lines. Each line is represented by a 4-element vector :math:`(x_1, y_1, x_2, y_2)` , where :math:`(x_1,y_1)` and :math:`(x_2, y_2)` are the ending points of each detected line segment.
..seealso:::ocv:func:`HoughLinesP`
gpu::createHoughSegmentDetector
-------------------------------
Creates implementation for :ocv:class:`gpu::HoughSegmentDetector` .
..ocv:function:: Ptr<HoughSegmentDetector> gpu::createHoughSegmentDetector(float rho, float theta, int minLineLength, int maxLineGap, int maxLines = 4096)
:param rho:Distance resolution of the accumulator in pixels.
:param theta:Angle resolution of the accumulator in radians.
:param minLineLength:Minimum line length. Line segments shorter than that are rejected.
:param maxLineGap:Maximum allowed gap between points on the same line to link them.
:param maxLines:Maximum number of output lines.
gpu::HoughCirclesDetector
-------------------------
..ocv:class:: gpu::HoughCirclesDetector : public Algorithm
Base class for circles detector algorithm. ::
class CV_EXPORTS HoughCirclesDetector : public Algorithm
Creates implementation for :ocv:class:`gpu::HoughCirclesDetector` .
..ocv:function:: Ptr<HoughCirclesDetector> gpu::createHoughCirclesDetector(float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles = 4096)
:param dp:Inverse ratio of the accumulator resolution to the image resolution. For example, if ``dp=1`` , the accumulator has the same resolution as the input image. If ``dp=2`` , the accumulator has half as big width and height.
:param minDist:Minimum distance between the centers of the detected circles. If the parameter is too small, multiple neighbor circles may be falsely detected in addition to a true one. If it is too large, some circles may be missed.
:param votesThreshold:The accumulator threshold for the circle centers at the detection stage. The smaller it is, the more false circles may be detected.
:param minRadius:Minimum circle radius.
:param maxRadius:Maximum circle radius.
:param maxCircles:Maximum number of output circles.
