Matrix Reductions ================= .. highlight:: cpp 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::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, 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 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) :param src: Source image of any depth except for ``CV_64F`` . :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) :param src: Source image of any depth except for ``CV_64F`` . :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) :param src: Source image of any depth except for ``CV_64F`` . :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 minValLoc: Pointer to the returned minimum location. Use ``NULL`` if not required. :param maxValLoc: 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`