:param src:Source image. Only CV_8UC1 and CV_32FC1 images are supported now.
:param dst:Destination image containing cornerness values. It has the same size as src and CV_32FC1 type.
:param map1:The first map of either (x,y) points or just x values having the type CV_16SC2 , CV_32FC1 , or CV_32FC2 . See covertMaps() for details on converting a floating point representation to fixed-point for speed.
:param map2:The second map of y values having the type CV_32FC1 , or none (empty map if map1 is (x,y) points), respectively.
:param interpolation:The interpolation method
:param bordertype:Pixel extrapolation method. Only BORDER_CONSTANT are supported now.
:param value:The border value if borderType==BORDER CONSTANT
The function remap transforms the source image using the specified map: dst (x ,y) = src (map1(x , y) , map2(x , y)) where values of pixels with non-integer coordinates are computed using one of available interpolation methods. map1 and map2 can be encoded as separate floating-point maps in map1 and map2 respectively, or interleaved floating-point maps of (x,y) in map1. Supports CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1 , CV_32FC3 and CV_32FC4 data types.
:param dsize:he destination image size. If it is zero, then it is computed as: dsize = Size(round(fx*src.cols), round(fy*src.rows)). Either dsize or both fx or fy must be non-zero.
:param fx:The scale factor along the horizontal axis. When 0, it is computed as (double)dsize.width/src.cols
:param fy:The scale factor along the vertical axis. When 0, it is computed as (double)dsize.height/src.rows
:param interpolation:The interpolation method: INTER NEAREST or INTER LINEAR
Resizes an image. Supports CV_8UC1, CV_8UC3, CV_8UC4, CV_32FC1 , CV_32FC3 and CV_32FC4 data types.
:param flags:A combination of interpolation methods, see cv::resize, and the optional flag WARP INVERSE MAP that means that M is the inverse transformation (dst to $src)
The function warpAffine transforms the source image using the specified matrix. Supports INTER_NEAREST, INTER_LINEAR, INTER_CUBIC types.
:param flags:A combination of interpolation methods, see cv::resize, and the optional flag WARP INVERSE MAP that means that M is the inverse transformation (dst to $src)
Applies a perspective transformation to an image. Supports INTER_NEAREST, INTER_LINEAR, INTER_CUBIC types.
:param dcn:The number of channels in the destination image; if the parameter is 0, the number of the channels will be derived automatically from src and the code
Converts image from one color space to another.For now, only RGB2GRAY is supportted. Supports.CV_8UC1,CV_8UC4,CV_32SC1,CV_32SC4,CV_32FC1,CV_32FC4
:param dst:Destination array; will have the same size and the same type as src
:param thresh:Threshold value
:param maxVal:Maximum value to use with THRESH BINARY and THRESH BINARY INV thresholding types
:param type:Thresholding type
The function applies fixed-level thresholding to a single-channel array. The function is typically used to get a bi-level (binary) image out of a grayscale image or for removing a noise, i.e. filtering out pixels with too small or too large values. There are several types of thresholding that the function supports that are determined by thresholdType. Supports only CV_32FC1 and CV_8UC1 data type.
:param prevImg:First 8-bit input image (supports both grayscale and color images).
:param nextImg:Second input image of the same size and the same type as ``prevImg`` .
:param prevPts:Vector of 2D points for which the flow needs to be found. It must be one row matrix with CV_32FC2 type.
:param nextPts:Output vector of 2D points (with single-precision floating-point coordinates) containing the calculated new positions of input features in the second image. When ``useInitialFlow`` is true, the vector must have the same size as in the input.
:param status:Output status vector (CV_8UC1 type). Each element of the vector is set to 1 if the flow for the corresponding features has been found. Otherwise, it is set to 0.
:param err:Output vector (CV_32FC1 type) that contains the difference between patches around the original and moved points or min eigen value if ``getMinEigenVals`` is checked. It can be NULL, if not needed.
:param nextImg:Second input image of the same size and the same type as ``prevImg`` .
:param u:Horizontal component of the optical flow of the same size as input images, 32-bit floating-point, single-channel
:param v:Vertical component of the optical flow of the same size as input images, 32-bit floating-point, single-channel
:param err:Output vector (CV_32FC1 type) that contains the difference between patches around the original and moved points or min eigen value if ``getMinEigenVals`` is checked. It can be NULL, if not needed.
:param frame0:First frame (32-bit floating point images, single channel).
:param frame1:Second frame. Must have the same type and size as ``frame0`` .
:param fu:Forward horizontal displacement.
:param fv:Forward vertical displacement.
:param bu:Backward horizontal displacement.
:param bv:Backward vertical displacement.
:param pos:New frame position.
:param newFrame:Output image.
:param buf:Temporary buffer, will have width x 6*height size, CV_32FC1 type and contain 6 oclMat: occlusion masks for first frame, occlusion masks for second, interpolated forward horizontal flow, interpolated forward vertical flow, interpolated backward horizontal flow, interpolated backward vertical flow.
Finds circles in a grayscale image using the Hough transform.
..ocv:function:: void ocl::HoughCircles(const oclMat& src, oclMat& circles, int method, float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles = 4096)
..ocv:function:: void ocl::HoughCircles(const oclMat& src, oclMat& circles, HoughCirclesBuf& buf, int method, float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles = 4096)
:param circles:Output vector of found circles. Each vector is encoded as a 3-element floating-point vector :math:`(x, y, radius)` .
:param method:Detection method to use. Currently, the only implemented method is ``CV_HOUGH_GRADIENT`` , which is basically *21HT* , described in [Yuen90]_.
: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 cannyThreshold:The higher threshold of the two passed to the :ocv:func:`ocl::Canny` edge detector (the lower one is twice smaller).
: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.
:param buf:Optional buffer to avoid extra memory allocations (for many calls with the same sizes).
..note:: Currently only non-ROI oclMat is supported for src.
