mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
295 lines
10 KiB
295 lines
10 KiB
Matrix Reductions |
|
================= |
|
|
|
.. highlight:: cpp |
|
|
|
|
|
|
|
cuda::norm |
|
---------- |
|
Returns the norm of a matrix (or difference of two matrices). |
|
|
|
.. ocv:function:: double cuda::norm(InputArray src1, int normType) |
|
|
|
.. ocv:function:: double cuda::norm(InputArray src1, int normType, GpuMat& buf) |
|
|
|
.. ocv:function:: double cuda::norm(InputArray src1, int normType, InputArray mask, GpuMat& buf) |
|
|
|
.. ocv:function:: double cuda::norm(InputArray src1, InputArray src2, int normType=NORM_L2) |
|
|
|
:param src1: Source matrix. Any matrices except 64F are supported. |
|
|
|
:param src2: Second source matrix (if any) with the same size and type as ``src1``. |
|
|
|
:param normType: Norm type. ``NORM_L1`` , ``NORM_L2`` , and ``NORM_INF`` are supported for now. |
|
|
|
:param mask: optional operation mask; it must have the same size as ``src1`` and ``CV_8UC1`` type. |
|
|
|
:param buf: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
.. seealso:: :ocv:func:`norm` |
|
|
|
|
|
|
|
cuda::sum |
|
--------- |
|
Returns the sum of matrix elements. |
|
|
|
.. ocv:function:: Scalar cuda::sum(InputArray src) |
|
|
|
.. ocv:function:: Scalar cuda::sum(InputArray src, GpuMat& buf) |
|
|
|
.. ocv:function:: Scalar cuda::sum(InputArray src, InputArray mask, GpuMat& buf) |
|
|
|
:param src: Source image of any depth except for ``CV_64F`` . |
|
|
|
:param mask: optional operation mask; it must have the same size as ``src1`` and ``CV_8UC1`` type. |
|
|
|
:param buf: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
.. seealso:: :ocv:func:`sum` |
|
|
|
|
|
|
|
cuda::absSum |
|
------------ |
|
Returns the sum of absolute values for matrix elements. |
|
|
|
.. ocv:function:: Scalar cuda::absSum(InputArray src) |
|
|
|
.. ocv:function:: Scalar cuda::absSum(InputArray src, GpuMat& buf) |
|
|
|
.. ocv:function:: Scalar cuda::absSum(InputArray src, InputArray mask, GpuMat& buf) |
|
|
|
:param src: Source image of any depth except for ``CV_64F`` . |
|
|
|
:param mask: optional operation mask; it must have the same size as ``src1`` and ``CV_8UC1`` type. |
|
|
|
:param buf: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
|
|
|
|
cuda::sqrSum |
|
------------ |
|
Returns the squared sum of matrix elements. |
|
|
|
.. ocv:function:: Scalar cuda::sqrSum(InputArray src) |
|
|
|
.. ocv:function:: Scalar cuda::sqrSum(InputArray src, GpuMat& buf) |
|
|
|
.. ocv:function:: Scalar cuda::sqrSum(InputArray src, InputArray mask, GpuMat& buf) |
|
|
|
:param src: Source image of any depth except for ``CV_64F`` . |
|
|
|
:param mask: optional operation mask; it must have the same size as ``src1`` and ``CV_8UC1`` type. |
|
|
|
:param buf: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
|
|
|
|
cuda::minMax |
|
------------ |
|
Finds global minimum and maximum matrix elements and returns their values. |
|
|
|
.. ocv:function:: void cuda::minMax(InputArray src, double* minVal, double* maxVal=0, InputArray mask=noArray()) |
|
|
|
.. ocv:function:: void cuda::minMax(InputArray src, double* minVal, double* maxVal, InputArray mask, GpuMat& buf) |
|
|
|
:param src: Single-channel source image. |
|
|
|
:param minVal: Pointer to the returned minimum value. Use ``NULL`` if not required. |
|
|
|
:param maxVal: Pointer to the returned maximum value. Use ``NULL`` if not required. |
|
|
|
:param mask: Optional mask to select a sub-matrix. |
|
|
|
:param buf: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
The function does not work with ``CV_64F`` images on GPUs with the compute capability < 1.3. |
|
|
|
.. seealso:: :ocv:func:`minMaxLoc` |
|
|
|
|
|
|
|
cuda::minMaxLoc |
|
--------------- |
|
Finds global minimum and maximum matrix elements and returns their values with locations. |
|
|
|
.. ocv:function:: void cuda::minMaxLoc(InputArray src, double* minVal, double* maxVal=0, Point* minLoc=0, Point* maxLoc=0, InputArray mask=noArray()) |
|
|
|
.. ocv:function:: void cuda::minMaxLoc(InputArray src, double* minVal, double* maxVal, Point* minLoc, Point* maxLoc, InputArray mask, GpuMat& valbuf, GpuMat& locbuf) |
|
|
|
:param src: Single-channel source image. |
|
|
|
:param minVal: Pointer to the returned minimum value. Use ``NULL`` if not required. |
|
|
|
:param maxVal: Pointer to the returned maximum value. Use ``NULL`` if not required. |
|
|
|
:param minLoc: Pointer to the returned minimum location. Use ``NULL`` if not required. |
|
|
|
:param maxLoc: Pointer to the returned maximum location. Use ``NULL`` if not required. |
|
|
|
:param mask: Optional mask to select a sub-matrix. |
|
|
|
:param valbuf: Optional values buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
:param locbuf: Optional locations buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
The function does not work with ``CV_64F`` images on GPU with the compute capability < 1.3. |
|
|
|
.. seealso:: :ocv:func:`minMaxLoc` |
|
|
|
|
|
|
|
cuda::countNonZero |
|
------------------ |
|
Counts non-zero matrix elements. |
|
|
|
.. ocv:function:: int cuda::countNonZero(InputArray src) |
|
|
|
.. ocv:function:: int cuda::countNonZero(InputArray src, GpuMat& buf) |
|
|
|
:param src: Single-channel source image. |
|
|
|
:param buf: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
The function does not work with ``CV_64F`` images on GPUs with the compute capability < 1.3. |
|
|
|
.. seealso:: :ocv:func:`countNonZero` |
|
|
|
|
|
|
|
cuda::reduce |
|
------------ |
|
Reduces a matrix to a vector. |
|
|
|
.. ocv:function:: void cuda::reduce(InputArray mtx, OutputArray vec, int dim, int reduceOp, int dtype = -1, Stream& stream = Stream::Null()) |
|
|
|
:param mtx: Source 2D matrix. |
|
|
|
:param vec: Destination vector. Its size and type is defined by ``dim`` and ``dtype`` parameters. |
|
|
|
:param dim: Dimension index along which the matrix is reduced. 0 means that the matrix is reduced to a single row. 1 means that the matrix is reduced to a single column. |
|
|
|
:param reduceOp: Reduction operation that could be one of the following: |
|
|
|
* **CV_REDUCE_SUM** The output is the sum of all rows/columns of the matrix. |
|
|
|
* **CV_REDUCE_AVG** The output is the mean vector of all rows/columns of the matrix. |
|
|
|
* **CV_REDUCE_MAX** The output is the maximum (column/row-wise) of all rows/columns of the matrix. |
|
|
|
* **CV_REDUCE_MIN** The output is the minimum (column/row-wise) of all rows/columns of the matrix. |
|
|
|
:param dtype: When it is negative, the destination vector will have the same type as the source matrix. Otherwise, its type will be ``CV_MAKE_TYPE(CV_MAT_DEPTH(dtype), mtx.channels())`` . |
|
|
|
:param stream: Stream for the asynchronous version. |
|
|
|
The function ``reduce`` reduces the matrix to a vector by treating the matrix rows/columns as a set of 1D vectors and performing the specified operation on the vectors until a single row/column is obtained. For example, the function can be used to compute horizontal and vertical projections of a raster image. In case of ``CV_REDUCE_SUM`` and ``CV_REDUCE_AVG`` , the output may have a larger element bit-depth to preserve accuracy. And multi-channel arrays are also supported in these two reduction modes. |
|
|
|
.. seealso:: :ocv:func:`reduce` |
|
|
|
|
|
|
|
cuda::meanStdDev |
|
---------------- |
|
Computes a mean value and a standard deviation of matrix elements. |
|
|
|
.. ocv:function:: void cuda::meanStdDev(InputArray mtx, Scalar& mean, Scalar& stddev) |
|
.. ocv:function:: void cuda::meanStdDev(InputArray mtx, Scalar& mean, Scalar& stddev, GpuMat& buf) |
|
|
|
:param mtx: Source matrix. ``CV_8UC1`` matrices are supported for now. |
|
|
|
:param mean: Mean value. |
|
|
|
:param stddev: Standard deviation value. |
|
|
|
:param buf: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
.. seealso:: :ocv:func:`meanStdDev` |
|
|
|
|
|
|
|
cuda::rectStdDev |
|
---------------- |
|
Computes a standard deviation of integral images. |
|
|
|
.. ocv:function:: void cuda::rectStdDev(InputArray src, InputArray sqr, OutputArray dst, Rect rect, Stream& stream = Stream::Null()) |
|
|
|
:param src: Source image. Only the ``CV_32SC1`` type is supported. |
|
|
|
:param sqr: Squared source image. Only the ``CV_32FC1`` type is supported. |
|
|
|
:param dst: Destination image with the same type and size as ``src`` . |
|
|
|
:param rect: Rectangular window. |
|
|
|
:param stream: Stream for the asynchronous version. |
|
|
|
|
|
|
|
cuda::normalize |
|
--------------- |
|
Normalizes the norm or value range of an array. |
|
|
|
.. ocv:function:: void cuda::normalize(InputArray src, OutputArray dst, double alpha = 1, double beta = 0, int norm_type = NORM_L2, int dtype = -1, InputArray mask = noArray()) |
|
|
|
.. ocv:function:: void cuda::normalize(InputArray src, OutputArray dst, double alpha, double beta, int norm_type, int dtype, InputArray mask, GpuMat& norm_buf, GpuMat& cvt_buf) |
|
|
|
:param src: Input array. |
|
|
|
:param dst: Output array of the same size as ``src`` . |
|
|
|
:param alpha: Norm value to normalize to or the lower range boundary in case of the range normalization. |
|
|
|
:param beta: Upper range boundary in case of the range normalization; it is not used for the norm normalization. |
|
|
|
:param normType: Normalization type ( ``NORM_MINMAX`` , ``NORM_L2`` , ``NORM_L1`` or ``NORM_INF`` ). |
|
|
|
:param dtype: When negative, the output array has the same type as ``src``; otherwise, it has the same number of channels as ``src`` and the depth ``=CV_MAT_DEPTH(dtype)``. |
|
|
|
:param mask: Optional operation mask. |
|
|
|
:param norm_buf: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
:param cvt_buf: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
.. seealso:: :ocv:func:`normalize` |
|
|
|
|
|
|
|
cuda::integral |
|
-------------- |
|
Computes an integral image. |
|
|
|
.. ocv:function:: void cuda::integral(InputArray src, OutputArray sum, Stream& stream = Stream::Null()) |
|
|
|
.. ocv:function:: void cuda::integral(InputArray src, OutputArray sum, GpuMat& buffer, Stream& stream = Stream::Null()) |
|
|
|
:param src: Source image. Only ``CV_8UC1`` images are supported for now. |
|
|
|
:param sum: Integral image containing 32-bit unsigned integer values packed into ``CV_32SC1`` . |
|
|
|
:param buffer: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
:param stream: Stream for the asynchronous version. |
|
|
|
.. seealso:: :ocv:func:`integral` |
|
|
|
|
|
|
|
cuda::sqrIntegral |
|
----------------- |
|
Computes a squared integral image. |
|
|
|
.. ocv:function:: void cuda::sqrIntegral(InputArray src, OutputArray sqsum, Stream& stream = Stream::Null()) |
|
|
|
.. ocv:function:: void cuda::sqrIntegral(InputArray src, OutputArray sqsum, GpuMat& buf, Stream& stream = Stream::Null()) |
|
|
|
:param src: Source image. Only ``CV_8UC1`` images are supported for now. |
|
|
|
:param sqsum: Squared integral image containing 64-bit unsigned integer values packed into ``CV_64FC1`` . |
|
|
|
:param buf: Optional buffer to avoid extra memory allocations. It is resized automatically. |
|
|
|
:param stream: Stream for the asynchronous version.
|
|
|