#1205 fixed ~100 of ~700 parameters
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@@ -263,7 +263,7 @@ Creates a 2D morphological filter.
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.. ocv:function:: Ptr<FilterEngine_GPU> gpu::createMorphologyFilter_GPU(int op, int type, const Mat& kernel, const Point& anchor = Point(-1,-1), int iterations = 1)
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.. ocv:function:: Ptr<BaseFilter_GPU> getMorphologyFilter_GPU(int op, int type, const Mat& kernel, const Size& ksize, Point anchor=Point(-1,-1))
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.. ocv:function:: Ptr<BaseFilter_GPU> gpu::getMorphologyFilter_GPU(int op, int type, const Mat& kernel, const Size& ksize, Point anchor=Point(-1,-1))
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:param op: Morphology operation id. Only ``MORPH_ERODE`` and ``MORPH_DILATE`` are supported.
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@@ -271,7 +271,7 @@ Creates a 2D morphological filter.
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:param kernel: 2D 8-bit structuring element for the morphological operation.
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:param size: Size of a horizontal or vertical structuring element used for separable morphological operations.
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:param ksize: Size of a horizontal or vertical structuring element used for separable morphological operations.
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:param anchor: Anchor position within the structuring element. Negative values mean that the anchor is at the center.
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@@ -607,9 +607,9 @@ Calculates the first x- or y- image derivative using the Scharr operator.
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:param ddepth: Destination image depth. ``CV_8U`` , ``CV_16S`` , ``CV_32S`` , and ``CV_32F`` are supported.
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:param xorder: Order of the derivative x.
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:param dx: Order of the derivative x.
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:param yorder: Order of the derivative y.
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:param dy: Order of the derivative y.
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:param scale: Optional scale factor for the computed derivative values. By default, no scaling is applied. See :ocv:func:`getDerivKernels` for details.
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@@ -137,6 +137,10 @@ Computes the minimum eigen value of a 2x2 derivative covariation matrix at each
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.. ocv:function:: void gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, int blockSize, int ksize, int borderType=BORDER_REFLECT101)
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.. ocv:function:: void gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, int blockSize, int ksize, int borderType=BORDER_REFLECT101)
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.. ocv:function:: void gpu::cornerMinEigenVal(const GpuMat& src, GpuMat& dst, GpuMat& Dx, GpuMat& Dy, GpuMat& buf, int blockSize, int ksize, int borderType=BORDER_REFLECT101, Stream& stream = Stream::Null())
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:param src: Source image. Only ``CV_8UC1`` and ``CV_32FC1`` images are supported for now.
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:param dst: Destination image containing cornerness values. The size is the same. The type is ``CV_32FC1`` .
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@@ -145,8 +149,6 @@ Computes the minimum eigen value of a 2x2 derivative covariation matrix at each
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:param ksize: Aperture parameter for the Sobel operator.
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:param k: Harris detector free parameter.
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:param borderType: Pixel extrapolation method. Only ``BORDER_REFLECT101`` and ``BORDER_REPLICATE`` are supported for now.
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.. seealso:: :ocv:func:`cornerMinEigenVal`
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@@ -402,7 +404,7 @@ Exchanges the color channels of an image in-place.
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.. ocv:function:: void gpu::swapChannels(GpuMat& image, const int dstOrder[4], Stream& stream = Stream::Null())
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:param src: Source image. Supports only ``CV_8UC4`` type.
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:param image: Source image. Supports only ``CV_8UC4`` type.
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:param dstOrder: Integer array describing how channel values are permutated. The n-th entry of the array contains the number of the channel that is stored in the n-th channel of the output image. E.g. Given an RGBA image, aDstOrder = [3,2,1,0] converts this to ABGR channel order.
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@@ -424,9 +426,9 @@ Applies a fixed-level threshold to each array element.
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:param thresh: Threshold value.
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:param maxVal: Maximum value to use with ``THRESH_BINARY`` and ``THRESH_BINARY_INV`` threshold types.
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:param maxval: Maximum value to use with ``THRESH_BINARY`` and ``THRESH_BINARY_INV`` threshold types.
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:param thresholdType: Threshold type. For details, see :ocv:func:`threshold` . The ``THRESH_OTSU`` threshold type is not supported.
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:param type: Threshold type. For details, see :ocv:func:`threshold` . The ``THRESH_OTSU`` threshold type is not supported.
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:param stream: Stream for the asynchronous version.
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@@ -831,11 +833,11 @@ Finds edges in an image using the [Canny86]_ algorithm.
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:param edges: Output edge map. It has the same size and type as ``image`` .
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:param threshold1: First threshold for the hysteresis procedure.
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:param low_thresh: First threshold for the hysteresis procedure.
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:param threshold2: Second threshold for the hysteresis procedure.
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:param high_thresh: Second threshold for the hysteresis procedure.
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:param apertureSize: Aperture size for the :ocv:func:`Sobel` operator.
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:param apperture_size: Aperture size for the :ocv:func:`Sobel` operator.
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:param L2gradient: Flag indicating whether a more accurate :math:`L_2` norm :math:`=\sqrt{(dI/dx)^2 + (dI/dy)^2}` should be used to compute the image gradient magnitude ( ``L2gradient=true`` ), or a faster default :math:`L_1` norm :math:`=|dI/dx|+|dI/dy|` is enough ( ``L2gradient=false`` ).
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@@ -128,9 +128,9 @@ Finds global minimum and maximum matrix elements and returns their values with l
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:param maxVal: Pointer to the returned maximum value. Use ``NULL`` if not required.
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:param minValLoc: Pointer to the returned minimum location. Use ``NULL`` if not required.
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:param minLoc: Pointer to the returned minimum location. Use ``NULL`` if not required.
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:param maxValLoc: Pointer to the returned maximum location. Use ``NULL`` if not required.
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:param maxLoc: Pointer to the returned maximum location. Use ``NULL`` if not required.
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:param mask: Optional mask to select a sub-matrix.
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@@ -82,7 +82,7 @@ Creates the ``HOG`` descriptor and detector.
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:param win_sigma: Gaussian smoothing window parameter.
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:param threshold_L2Hys: L2-Hys normalization method shrinkage.
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:param threshold_L2hys: L2-Hys normalization method shrinkage.
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:param gamma_correction: Flag to specify whether the gamma correction preprocessing is required or not.
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@@ -275,7 +275,7 @@ Detects objects of different sizes in the input image.
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:param image: Matrix of type ``CV_8U`` containing an image where objects should be detected.
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:param objects: Buffer to store detected objects (rectangles). If it is empty, it is allocated with the default size. If not empty, the function searches not more than N objects, where ``N = sizeof(objectsBufer's data)/sizeof(cv::Rect)``.
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:param objectsBuf: Buffer to store detected objects (rectangles). If it is empty, it is allocated with the default size. If not empty, the function searches not more than N objects, where ``N = sizeof(objectsBufer's data)/sizeof(cv::Rect)``.
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:param scaleFactor: Value to specify how much the image size is reduced at each image scale.
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@@ -191,7 +191,7 @@ Computes polar angles of complex matrix elements.
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:param angle: Destionation matrix of angles ( ``CV_32FC1`` ).
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:param angleInDegress: Flag for angles that must be evaluated in degress.
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:param angleInDegrees: Flag for angles that must be evaluated in degress.
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:param stream: Stream for the asynchronous version.
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@@ -213,7 +213,7 @@ Converts Cartesian coordinates into polar.
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:param angle: Destionation matrix of angles ( ``CV_32FC1`` ).
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:param angleInDegress: Flag for angles that must be evaluated in degress.
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:param angleInDegrees: Flag for angles that must be evaluated in degress.
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:param stream: Stream for the asynchronous version.
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@@ -235,7 +235,7 @@ Converts polar coordinates into Cartesian.
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:param y: Destination matrix of imaginary components ( ``CV_32FC1`` ).
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:param angleInDegress: Flag that indicates angles in degress.
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:param angleInDegrees: Flag that indicates angles in degress.
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:param stream: Stream for the asynchronous version.
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