544 lines
16 KiB
ReStructuredText
544 lines
16 KiB
ReStructuredText
Per-element Operations
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======================
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.. highlight:: cpp
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cuda::add
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---------
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Computes a matrix-matrix or matrix-scalar sum.
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.. ocv:function:: void cuda::add(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), int dtype = -1, Stream& stream = Stream::Null())
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:param src1: First source matrix or scalar.
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:param src2: Second source matrix or scalar. Matrix should have the same size and type as ``src1`` .
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:param dst: Destination matrix that has the same size and number of channels as the input array(s). The depth is defined by ``dtype`` or ``src1`` depth.
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:param mask: Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed.
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:param dtype: Optional depth of the output array.
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`add`
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cuda::subtract
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--------------
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Computes a matrix-matrix or matrix-scalar difference.
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.. ocv:function:: void cuda::subtract(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), int dtype = -1, Stream& stream = Stream::Null())
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:param src1: First source matrix or scalar.
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:param src2: Second source matrix or scalar. Matrix should have the same size and type as ``src1`` .
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:param dst: Destination matrix that has the same size and number of channels as the input array(s). The depth is defined by ``dtype`` or ``src1`` depth.
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:param mask: Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed.
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:param dtype: Optional depth of the output array.
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`subtract`
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cuda::multiply
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--------------
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Computes a matrix-matrix or matrix-scalar per-element product.
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.. ocv:function:: void cuda::multiply(InputArray src1, InputArray src2, OutputArray dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null())
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:param src1: First source matrix or scalar.
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:param src2: Second source matrix or scalar.
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:param dst: Destination matrix that has the same size and number of channels as the input array(s). The depth is defined by ``dtype`` or ``src1`` depth.
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:param scale: Optional scale factor.
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:param dtype: Optional depth of the output array.
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`multiply`
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cuda::divide
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------------
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Computes a matrix-matrix or matrix-scalar division.
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.. ocv:function:: void cuda::divide(InputArray src1, InputArray src2, OutputArray dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null())
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.. ocv:function:: void cuda::divide(double src1, InputArray src2, OutputArray dst, int dtype = -1, Stream& stream = Stream::Null())
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:param src1: First source matrix or a scalar.
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:param src2: Second source matrix or scalar.
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:param dst: Destination matrix that has the same size and number of channels as the input array(s). The depth is defined by ``dtype`` or ``src1`` depth.
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:param scale: Optional scale factor.
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:param dtype: Optional depth of the output array.
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:param stream: Stream for the asynchronous version.
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This function, in contrast to :ocv:func:`divide`, uses a round-down rounding mode.
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.. seealso:: :ocv:func:`divide`
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cuda::absdiff
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-------------
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Computes per-element absolute difference of two matrices (or of a matrix and scalar).
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.. ocv:function:: void cuda::absdiff(InputArray src1, InputArray src2, OutputArray dst, Stream& stream = Stream::Null())
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:param src1: First source matrix or scalar.
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:param src2: Second source matrix or scalar.
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:param dst: Destination matrix that has the same size and type as the input array(s).
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`absdiff`
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cuda::abs
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---------
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Computes an absolute value of each matrix element.
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.. ocv:function:: void cuda::abs(InputArray src, OutputArray dst, Stream& stream = Stream::Null())
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:param src: Source matrix.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`abs`
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cuda::sqr
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---------
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Computes a square value of each matrix element.
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.. ocv:function:: void cuda::sqr(InputArray src, OutputArray dst, Stream& stream = Stream::Null())
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:param src: Source matrix.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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cuda::sqrt
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----------
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Computes a square root of each matrix element.
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.. ocv:function:: void cuda::sqrt(InputArray src, OutputArray dst, Stream& stream = Stream::Null())
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:param src: Source matrix.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`sqrt`
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cuda::exp
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---------
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Computes an exponent of each matrix element.
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.. ocv:function:: void cuda::exp(InputArray src, OutputArray dst, Stream& stream = Stream::Null())
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:param src: Source matrix.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`exp`
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cuda::log
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---------
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Computes a natural logarithm of absolute value of each matrix element.
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.. ocv:function:: void cuda::log(InputArray src, OutputArray dst, Stream& stream = Stream::Null())
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:param src: Source matrix.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`log`
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cuda::pow
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---------
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Raises every matrix element to a power.
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.. ocv:function:: void cuda::pow(InputArray src, double power, OutputArray dst, Stream& stream = Stream::Null())
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:param src: Source matrix.
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:param power: Exponent of power.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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The function ``pow`` raises every element of the input matrix to ``power`` :
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.. math::
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\texttt{dst} (I) = \fork{\texttt{src}(I)^power}{if \texttt{power} is integer}{|\texttt{src}(I)|^power}{otherwise}
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.. seealso:: :ocv:func:`pow`
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cuda::compare
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-------------
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Compares elements of two matrices (or of a matrix and scalar).
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.. ocv:function:: void cuda::compare(InputArray src1, InputArray src2, OutputArray dst, int cmpop, Stream& stream = Stream::Null())
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:param src1: First source matrix or scalar.
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:param src2: Second source matrix or scalar.
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:param dst: Destination matrix that has the same size and type as the input array(s).
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:param cmpop: Flag specifying the relation between the elements to be checked:
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* **CMP_EQ:** ``a(.) == b(.)``
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* **CMP_GT:** ``a(.) < b(.)``
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* **CMP_GE:** ``a(.) <= b(.)``
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* **CMP_LT:** ``a(.) < b(.)``
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* **CMP_LE:** ``a(.) <= b(.)``
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* **CMP_NE:** ``a(.) != b(.)``
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`compare`
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cuda::bitwise_not
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-----------------
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Performs a per-element bitwise inversion.
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.. ocv:function:: void cuda::bitwise_not(InputArray src, OutputArray dst, InputArray mask = noArray(), Stream& stream = Stream::Null())
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:param src: Source matrix.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param mask: Optional operation mask. 8-bit single channel image.
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:param stream: Stream for the asynchronous version.
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cuda::bitwise_or
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----------------
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Performs a per-element bitwise disjunction of two matrices (or of matrix and scalar).
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.. ocv:function:: void cuda::bitwise_or(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), Stream& stream = Stream::Null())
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:param src1: First source matrix or scalar.
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:param src2: Second source matrix or scalar.
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:param dst: Destination matrix that has the same size and type as the input array(s).
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:param mask: Optional operation mask. 8-bit single channel image.
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:param stream: Stream for the asynchronous version.
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cuda::bitwise_and
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-----------------
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Performs a per-element bitwise conjunction of two matrices (or of matrix and scalar).
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.. ocv:function:: void cuda::bitwise_and(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), Stream& stream = Stream::Null())
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:param src1: First source matrix or scalar.
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:param src2: Second source matrix or scalar.
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:param dst: Destination matrix that has the same size and type as the input array(s).
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:param mask: Optional operation mask. 8-bit single channel image.
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:param stream: Stream for the asynchronous version.
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cuda::bitwise_xor
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-----------------
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Performs a per-element bitwise ``exclusive or`` operation of two matrices (or of matrix and scalar).
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.. ocv:function:: void cuda::bitwise_xor(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), Stream& stream = Stream::Null())
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:param src1: First source matrix or scalar.
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:param src2: Second source matrix or scalar.
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:param dst: Destination matrix that has the same size and type as the input array(s).
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:param mask: Optional operation mask. 8-bit single channel image.
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:param stream: Stream for the asynchronous version.
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cuda::rshift
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------------
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Performs pixel by pixel right shift of an image by a constant value.
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.. ocv:function:: void cuda::rshift(InputArray src, Scalar_<int> val, OutputArray dst, Stream& stream = Stream::Null())
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:param src: Source matrix. Supports 1, 3 and 4 channels images with integers elements.
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:param val: Constant values, one per channel.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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cuda::lshift
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------------
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Performs pixel by pixel right left of an image by a constant value.
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.. ocv:function:: void cuda::lshift(InputArray src, Scalar_<int> val, OutputArray dst, Stream& stream = Stream::Null())
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:param src: Source matrix. Supports 1, 3 and 4 channels images with ``CV_8U`` , ``CV_16U`` or ``CV_32S`` depth.
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:param val: Constant values, one per channel.
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:param dst: Destination matrix with the same size and type as ``src`` .
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:param stream: Stream for the asynchronous version.
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cuda::min
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---------
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Computes the per-element minimum of two matrices (or a matrix and a scalar).
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.. ocv:function:: void cuda::min(InputArray src1, InputArray src2, OutputArray dst, Stream& stream = Stream::Null())
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:param src1: First source matrix or scalar.
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:param src2: Second source matrix or scalar.
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:param dst: Destination matrix that has the same size and type as the input array(s).
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`min`
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cuda::max
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---------
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Computes the per-element maximum of two matrices (or a matrix and a scalar).
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.. ocv:function:: void cuda::max(InputArray src1, InputArray src2, OutputArray dst, Stream& stream = Stream::Null())
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:param src1: First source matrix or scalar.
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:param src2: Second source matrix or scalar.
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:param dst: Destination matrix that has the same size and type as the input array(s).
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`max`
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cuda::addWeighted
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-----------------
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Computes the weighted sum of two arrays.
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.. ocv:function:: void cuda::addWeighted(InputArray src1, double alpha, InputArray src2, double beta, double gamma, OutputArray dst, int dtype = -1, Stream& stream = Stream::Null())
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:param src1: First source array.
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:param alpha: Weight for the first array elements.
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:param src2: Second source array of the same size and channel number as ``src1`` .
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:param beta: Weight for the second array elements.
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:param dst: Destination array that has the same size and number of channels as the input arrays.
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:param gamma: Scalar added to each sum.
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:param dtype: Optional depth of the destination array. When both input arrays have the same depth, ``dtype`` can be set to ``-1``, which will be equivalent to ``src1.depth()``.
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:param stream: Stream for the asynchronous version.
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The function ``addWeighted`` calculates the weighted sum of two arrays as follows:
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.. math::
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\texttt{dst} (I)= \texttt{saturate} ( \texttt{src1} (I)* \texttt{alpha} + \texttt{src2} (I)* \texttt{beta} + \texttt{gamma} )
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where ``I`` is a multi-dimensional index of array elements. In case of multi-channel arrays, each channel is processed independently.
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.. seealso:: :ocv:func:`addWeighted`
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cuda::threshold
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---------------
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Applies a fixed-level threshold to each array element.
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.. ocv:function:: double cuda::threshold(InputArray src, OutputArray dst, double thresh, double maxval, int type, Stream& stream = Stream::Null())
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:param src: Source array (single-channel).
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:param dst: Destination array with the same size and type as ``src`` .
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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 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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.. seealso:: :ocv:func:`threshold`
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cuda::magnitude
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---------------
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Computes magnitudes of complex matrix elements.
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.. ocv:function:: void cuda::magnitude(InputArray xy, OutputArray magnitude, Stream& stream = Stream::Null())
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.. ocv:function:: void cuda::magnitude(InputArray x, InputArray y, OutputArray magnitude, Stream& stream = Stream::Null())
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:param xy: Source complex matrix in the interleaved format ( ``CV_32FC2`` ).
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:param x: Source matrix containing real components ( ``CV_32FC1`` ).
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:param y: Source matrix containing imaginary components ( ``CV_32FC1`` ).
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:param magnitude: Destination matrix of float magnitudes ( ``CV_32FC1`` ).
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`magnitude`
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cuda::magnitudeSqr
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------------------
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Computes squared magnitudes of complex matrix elements.
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.. ocv:function:: void cuda::magnitudeSqr(InputArray xy, OutputArray magnitude, Stream& stream=Stream::Null() )
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.. ocv:function:: void cuda::magnitudeSqr(InputArray x, InputArray y, OutputArray magnitude, Stream& stream = Stream::Null())
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:param xy: Source complex matrix in the interleaved format ( ``CV_32FC2`` ).
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:param x: Source matrix containing real components ( ``CV_32FC1`` ).
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:param y: Source matrix containing imaginary components ( ``CV_32FC1`` ).
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:param magnitude: Destination matrix of float magnitude squares ( ``CV_32FC1`` ).
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:param stream: Stream for the asynchronous version.
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cuda::phase
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-----------
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Computes polar angles of complex matrix elements.
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.. ocv:function:: void cuda::phase(InputArray x, InputArray y, OutputArray angle, bool angleInDegrees = false, Stream& stream = Stream::Null())
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:param x: Source matrix containing real components ( ``CV_32FC1`` ).
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:param y: Source matrix containing imaginary components ( ``CV_32FC1`` ).
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:param angle: Destination matrix of angles ( ``CV_32FC1`` ).
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:param angleInDegrees: Flag for angles that must be evaluated in degrees.
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`phase`
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cuda::cartToPolar
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-----------------
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Converts Cartesian coordinates into polar.
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.. ocv:function:: void cuda::cartToPolar(InputArray x, InputArray y, OutputArray magnitude, OutputArray angle, bool angleInDegrees = false, Stream& stream = Stream::Null())
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:param x: Source matrix containing real components ( ``CV_32FC1`` ).
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:param y: Source matrix containing imaginary components ( ``CV_32FC1`` ).
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:param magnitude: Destination matrix of float magnitudes ( ``CV_32FC1`` ).
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:param angle: Destination matrix of angles ( ``CV_32FC1`` ).
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:param angleInDegrees: Flag for angles that must be evaluated in degrees.
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`cartToPolar`
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cuda::polarToCart
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-----------------
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Converts polar coordinates into Cartesian.
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.. ocv:function:: void cuda::polarToCart(InputArray magnitude, InputArray angle, OutputArray x, OutputArray y, bool angleInDegrees = false, Stream& stream = Stream::Null())
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:param magnitude: Source matrix containing magnitudes ( ``CV_32FC1`` ).
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:param angle: Source matrix containing angles ( ``CV_32FC1`` ).
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:param x: Destination matrix of real components ( ``CV_32FC1`` ).
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:param y: Destination matrix of imaginary components ( ``CV_32FC1`` ).
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:param angleInDegrees: Flag that indicates angles in degrees.
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:param stream: Stream for the asynchronous version.
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.. seealso:: :ocv:func:`polarToCart`
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