opencv/modules/gpuarithm/doc/reductions.rst
2013-04-18 11:33:34 +04:00

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Matrix Reductions
=================
.. highlight:: cpp
gpu::norm
-------------
Returns the norm of a matrix (or difference of two matrices).
.. ocv:function:: double gpu::norm(const GpuMat& src1, int normType=NORM_L2)
.. ocv:function:: double gpu::norm(const GpuMat& src1, int normType, GpuMat& buf)
.. ocv:function:: double gpu::norm(const GpuMat& src1, int normType, const GpuMat& mask, GpuMat& buf)
.. ocv:function:: double gpu::norm(const GpuMat& src1, const GpuMat& 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`
gpu::sum
------------
Returns the sum of matrix elements.
.. ocv:function:: Scalar gpu::sum(const GpuMat& src)
.. ocv:function:: Scalar gpu::sum(const GpuMat& src, GpuMat& buf)
.. ocv:function:: Scalar gpu::sum(const GpuMat& src, const GpuMat& 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`
gpu::absSum
---------------
Returns the sum of absolute values for matrix elements.
.. ocv:function:: Scalar gpu::absSum(const GpuMat& src)
.. ocv:function:: Scalar gpu::absSum(const GpuMat& src, GpuMat& buf)
.. ocv:function:: Scalar gpu::absSum(const GpuMat& src, const GpuMat& 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.
gpu::sqrSum
---------------
Returns the squared sum of matrix elements.
.. ocv:function:: Scalar gpu::sqrSum(const GpuMat& src)
.. ocv:function:: Scalar gpu::sqrSum(const GpuMat& src, GpuMat& buf)
.. ocv:function:: Scalar gpu::sqrSum(const GpuMat& src, const GpuMat& 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.
gpu::minMax
---------------
Finds global minimum and maximum matrix elements and returns their values.
.. ocv:function:: void gpu::minMax(const GpuMat& src, double* minVal, double* maxVal=0, const GpuMat& mask=GpuMat())
.. ocv:function:: void gpu::minMax(const GpuMat& src, double* minVal, double* maxVal, const GpuMat& 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`
gpu::minMaxLoc
------------------
Finds global minimum and maximum matrix elements and returns their values with locations.
.. ocv:function:: void gpu::minMaxLoc(const GpuMat& src, double* minVal, double* maxVal=0, Point* minLoc=0, Point* maxLoc=0, const GpuMat& mask=GpuMat())
.. ocv:function:: void gpu::minMaxLoc(const GpuMat& src, double* minVal, double* maxVal, Point* minLoc, Point* maxLoc, const GpuMat& 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`
gpu::countNonZero
---------------------
Counts non-zero matrix elements.
.. ocv:function:: int gpu::countNonZero(const GpuMat& src)
.. ocv:function:: int gpu::countNonZero(const GpuMat& 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`
gpu::reduce
-----------
Reduces a matrix to a vector.
.. ocv:function:: void gpu::reduce(const GpuMat& mtx, GpuMat& 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())`` .
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`
gpu::normalize
--------------
Normalizes the norm or value range of an array.
.. ocv:function:: void gpu::normalize(const GpuMat& src, GpuMat& dst, double alpha = 1, double beta = 0, int norm_type = NORM_L2, int dtype = -1, const GpuMat& mask = GpuMat())
.. ocv:function:: void gpu::normalize(const GpuMat& src, GpuMat& dst, double a, double b, int norm_type, int dtype, const GpuMat& 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 (see the details below).
: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`
gpu::meanStdDev
-------------------
Computes a mean value and a standard deviation of matrix elements.
.. ocv:function:: void gpu::meanStdDev(const GpuMat& mtx, Scalar& mean, Scalar& stddev)
.. ocv:function:: void gpu::meanStdDev(const GpuMat& 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`
gpu::rectStdDev
-------------------
Computes a standard deviation of integral images.
.. ocv:function:: void gpu::rectStdDev(const GpuMat& src, const GpuMat& sqr, GpuMat& dst, const 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.