Per-element Operations

Detailed Description

Functions
void	cv::cann::add (const AscendMat &src1, const AscendMat &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::add (const AscendMat &src1, const Scalar &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::add (const InputArray src1, const InputArray src2, OutputArray dst, const InputArray mask=noArray(), int dtype=-1, AscendStream &stream=AscendStream::Null())
	Computes a matrix-matrix or matrix-scalar sum.
void	cv::cann::add (const Scalar &src1, const AscendMat &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::addWeighted (const AscendMat &src1, double alpha, const AscendMat &src2, double beta, double gamma, AscendMat &dst, int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::addWeighted (const InputArray src1, double alpha, const InputArray src2, double beta, double gamma, OutputArray dst, int dtype=-1, AscendStream &stream=AscendStream::Null())
	Computes the weighted sum of two arrays.
void	cv::cann::bitwise_and (const AscendMat &src1, const AscendMat &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), AscendStream &stream=AscendStream::Null())
void	cv::cann::bitwise_and (const AscendMat &src1, const Scalar &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), AscendStream &stream=AscendStream::Null())
void	cv::cann::bitwise_and (const InputArray src1, const InputArray src2, OutputArray dst, const InputArray mask=noArray(), AscendStream &stream=AscendStream::Null())
	Performs a per-element bitwise conjunction of two matrices (or of matrix and scalar).
void	cv::cann::bitwise_and (const Scalar &src1, const AscendMat &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), AscendStream &stream=AscendStream::Null())
void	cv::cann::bitwise_not (const AscendMat &src, AscendMat &dst, const AscendMat &mask=AscendMat(), AscendStream &stream=AscendStream::Null())
void	cv::cann::bitwise_not (const InputArray src, OutputArray dst, const InputArray mask=noArray(), AscendStream &stream=AscendStream::Null())
	Performs a per-element bitwise inversion.
void	cv::cann::bitwise_or (const AscendMat &src1, const AscendMat &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), AscendStream &stream=AscendStream::Null())
void	cv::cann::bitwise_or (const AscendMat &src1, const Scalar &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), AscendStream &stream=AscendStream::Null())
void	cv::cann::bitwise_or (const InputArray src1, const InputArray src2, OutputArray dst, const InputArray mask=noArray(), AscendStream &stream=AscendStream::Null())
	Performs a per-element bitwise disjunction of two matrices (or of matrix and scalar).
void	cv::cann::bitwise_or (const Scalar &src1, const AscendMat &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), AscendStream &stream=AscendStream::Null())
void	cv::cann::bitwise_xor (const AscendMat &src1, const AscendMat &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), AscendStream &stream=AscendStream::Null())
void	cv::cann::bitwise_xor (const AscendMat &src1, const Scalar &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), AscendStream &stream=AscendStream::Null())
void	cv::cann::bitwise_xor (const InputArray src1, const InputArray src2, OutputArray dst, const InputArray mask=noArray(), AscendStream &stream=AscendStream::Null())
	Performs a per-element bitwise exclusive or operation of two matrices (or of matrix and scalar).
void	cv::cann::bitwise_xor (const Scalar &src1, const AscendMat &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), AscendStream &stream=AscendStream::Null())
void	cv::cann::divide (const AscendMat &src1, const AscendMat &src2, AscendMat &dst, float scale=1, int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::divide (const AscendMat &src1, const Scalar &src2, AscendMat &dst, float scale=1, int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::divide (const InputArray src1, const InputArray src2, OutputArray dst, float scale=1, int dtype=-1, AscendStream &stream=AscendStream::Null())
	Computes a matrix-matrix or matrix-scalar division.
void	cv::cann::divide (const Scalar &src1, const AscendMat &src2, AscendMat &dst, float scale=1, int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::multiply (const AscendMat &src1, const AscendMat &src2, AscendMat &dst, float scale=1, int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::multiply (const AscendMat &src1, const Scalar &src2, AscendMat &dst, float scale=1, int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::multiply (const InputArray src1, const InputArray src2, OutputArray dst, float scale=1, int dtype=-1, AscendStream &stream=AscendStream::Null())
	Computes a matrix-matrix or matrix-scalar per-element product.
void	cv::cann::multiply (const Scalar &src1, const AscendMat &src2, AscendMat &dst, float scale=1, int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::subtract (const AscendMat &src1, const AscendMat &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::subtract (const AscendMat &src1, const Scalar &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), int dtype=-1, AscendStream &stream=AscendStream::Null())
void	cv::cann::subtract (const InputArray src1, const InputArray src2, OutputArray dst, const InputArray mask=noArray(), int dtype=-1, AscendStream &stream=AscendStream::Null())
	Computes a matrix-matrix or matrix-scalar difference.
void	cv::cann::subtract (const Scalar &src1, const AscendMat &src2, AscendMat &dst, const AscendMat &mask=AscendMat(), int dtype=-1, AscendStream &stream=AscendStream::Null())
double	cv::cann::threshold (const AscendMat &src, AscendMat &dst, double thresh, double maxval, int type, AscendStream &stream=AscendStream::Null())
double	cv::cann::threshold (const InputArray src, OutputArray dst, double thresh, double maxval, int type, AscendStream &stream=AscendStream::Null())
	Applies a fixed-level threshold to each array element.

Function Documentation

add() [1/4]

void cv::cann::add	(	const AscendMat &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

add() [2/4]

void cv::cann::add	(	const AscendMat &	src1,
		const Scalar &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

add() [3/4]

void cv::cann::add	(	const InputArray	src1,
		const InputArray	src2,
		OutputArray	dst,
		const InputArray	mask = noArray(),
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

Computes a matrix-matrix or matrix-scalar sum.

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar. Matrix should have the same size and type as src1 .
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.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
dtype	Optional depth of the output array.
stream	AscendStream for the asynchronous version.

See also

cv::add cuda::add

add() [4/4]

void cv::cann::add	(	const Scalar &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

addWeighted() [1/2]

void cv::cann::addWeighted	(	const AscendMat &	src1,
		double	alpha,
		const AscendMat &	src2,
		double	beta,
		double	gamma,
		AscendMat &	dst,
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

addWeighted() [2/2]

void cv::cann::addWeighted	(	const InputArray	src1,
		double	alpha,
		const InputArray	src2,
		double	beta,
		double	gamma,
		OutputArray	dst,
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

Computes the weighted sum of two arrays.

Parameters

src1	First source array.
alpha	Weight for the first array elements.
src2	Second source array of the same size and channel number as src1 .
beta	Weight for the second array elements.
dst	Destination array that has the same size and number of channels as the input arrays.
gamma	Scalar added to each sum.
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().
stream	Stream for the asynchronous version.

The function addWeighted calculates the weighted sum of two arrays as follows:

\[\texttt{dst} (I)= \texttt{saturate} ( \texttt{src1} (I)* \texttt{alpha} + \texttt{src2} (I)* \texttt{beta} + \texttt{gamma} )\]

where I is a multi-dimensional index of array elements. In case of multi-channel arrays, each channel is processed independently.

Note

src must be one of the following types: int32, int16, float16, float32.

See also

cv::addWeighted cv::cuda::addWeighted

bitwise_and() [1/4]

void cv::cann::bitwise_and	(	const AscendMat &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

bitwise_and() [2/4]

void cv::cann::bitwise_and	(	const AscendMat &	src1,
		const Scalar &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

bitwise_and() [3/4]

void cv::cann::bitwise_and	(	const InputArray	src1,
		const InputArray	src2,
		OutputArray	dst,
		const InputArray	mask = noArray(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

Performs a per-element bitwise conjunction of two matrices (or of matrix and scalar).

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
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.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	AscendStream for the asynchronous version.

Note

src must be one of the following types: int32, int16, uint16

See also

cv::bitwise_and cuda::bitwise_and

bitwise_and() [4/4]

void cv::cann::bitwise_and	(	const Scalar &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

bitwise_not() [1/2]

void cv::cann::bitwise_not	(	const AscendMat &	src,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

bitwise_not() [2/2]

void cv::cann::bitwise_not	(	const InputArray	src,
		OutputArray	dst,
		const InputArray	mask = noArray(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

Performs a per-element bitwise inversion.

Parameters

src	First source matrix.
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.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	AscendStream for the asynchronous version.

Note

src must be one of the following types: int32, int16, uint16

See also

cv::bitwise_not cuda::bitwise_not

bitwise_or() [1/4]

void cv::cann::bitwise_or	(	const AscendMat &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

bitwise_or() [2/4]

void cv::cann::bitwise_or	(	const AscendMat &	src1,
		const Scalar &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

bitwise_or() [3/4]

void cv::cann::bitwise_or	(	const InputArray	src1,
		const InputArray	src2,
		OutputArray	dst,
		const InputArray	mask = noArray(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

Performs a per-element bitwise disjunction of two matrices (or of matrix and scalar).

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
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.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	AscendStream for the asynchronous version.

Note

src must be one of the following types: int32, int16, uint16

See also

cv::bitwise_or cuda::bitwise_or

bitwise_or() [4/4]

void cv::cann::bitwise_or	(	const Scalar &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

bitwise_xor() [1/4]

void cv::cann::bitwise_xor	(	const AscendMat &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

bitwise_xor() [2/4]

void cv::cann::bitwise_xor	(	const AscendMat &	src1,
		const Scalar &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

bitwise_xor() [3/4]

void cv::cann::bitwise_xor	(	const InputArray	src1,
		const InputArray	src2,
		OutputArray	dst,
		const InputArray	mask = noArray(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

Performs a per-element bitwise exclusive or operation of two matrices (or of matrix and scalar).

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
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.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	AscendStream for the asynchronous version.

Note

src must be one of the following types: int32, int16, uint16

See also

cv::bitwise_xor cuda::bitwise_xor

bitwise_xor() [4/4]

void cv::cann::bitwise_xor	(	const Scalar &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

divide() [1/4]

void cv::cann::divide	(	const AscendMat &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		float	scale = 1,
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

divide() [2/4]

void cv::cann::divide	(	const AscendMat &	src1,
		const Scalar &	src2,
		AscendMat &	dst,
		float	scale = 1,
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

divide() [3/4]

void cv::cann::divide	(	const InputArray	src1,
		const InputArray	src2,
		OutputArray	dst,
		float	scale = 1,
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

Computes a matrix-matrix or matrix-scalar division.

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar. Matrix should have the same size and type as src1 .
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.
scale	Optional scale factor.
dtype	Optional depth of the output array.
stream	AscendStream for the asynchronous version.

Note

when scale == 1, src must be one of the following types: float16, float32, double, uint16, int8, uint8, int16, int32, int64; when scale != 1, src must be one of the following types: int32, int16, float16, float32.

See also

cv::divide cuda::divide

divide() [4/4]

void cv::cann::divide	(	const Scalar &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		float	scale = 1,
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

multiply() [1/4]

void cv::cann::multiply	(	const AscendMat &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		float	scale = 1,
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

multiply() [2/4]

void cv::cann::multiply	(	const AscendMat &	src1,
		const Scalar &	src2,
		AscendMat &	dst,
		float	scale = 1,
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

multiply() [3/4]

void cv::cann::multiply	(	const InputArray	src1,
		const InputArray	src2,
		OutputArray	dst,
		float	scale = 1,
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

Computes a matrix-matrix or matrix-scalar per-element product.

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar. Matrix should have the same size and type as src1 .
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.
scale	Optional scale factor.
dtype	Optional depth of the output array.
stream	AscendStream for the asynchronous version.

Note

when scale != 1, src must be one of the following types: float16, float32, int32

See also

cv::multiply cuda::multiply

multiply() [4/4]

void cv::cann::multiply	(	const Scalar &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		float	scale = 1,
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

subtract() [1/4]

void cv::cann::subtract	(	const AscendMat &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

subtract() [2/4]

void cv::cann::subtract	(	const AscendMat &	src1,
		const Scalar &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

subtract() [3/4]

void cv::cann::subtract	(	const InputArray	src1,
		const InputArray	src2,
		OutputArray	dst,
		const InputArray	mask = noArray(),
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

Computes a matrix-matrix or matrix-scalar difference.

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar. Matrix should have the same size and type as src1 .
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.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
dtype	Optional depth of the output array.
stream	AscendStream for the asynchronous version.

See also

cv::subtract cuda::subtract

subtract() [4/4]

void cv::cann::subtract	(	const Scalar &	src1,
		const AscendMat &	src2,
		AscendMat &	dst,
		const AscendMat &	mask = AscendMat(),
		int	dtype = -1,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

threshold() [1/2]

double cv::cann::threshold	(	const AscendMat &	src,
		AscendMat &	dst,
		double	thresh,
		double	maxval,
		int	type,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

threshold() [2/2]

double cv::cann::threshold	(	const InputArray	src,
		OutputArray	dst,
		double	thresh,
		double	maxval,
		int	type,
		AscendStream &	stream = AscendStream::Null() )

#include <opencv2/cann_interface.hpp>

Applies a fixed-level threshold to each array element.

Parameters

src	Source array (single-channel).
dst	Destination array with the same size and type as src .
thresh	Threshold value.
maxval	Maximum value to use with THRESH_BINARY and THRESH_BINARY_INV threshold types.
type	Threshold type. For details, see threshold . The THRESH_MASK, THRESH_OTSU and THRESH_TRIANGLE threshold types are not supported.
stream	AscendStream for the asynchronous version.

Note

src must be one of the following types: float16, float32.

See also

cv::threshold cv::cuda::threshold