Per-element Operations#

Detailed Description#

Function Documentation#

abs()#

void cv::cuda::abs(
InputArray src,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes an absolute value of each matrix element.

See also

abs

Parameters

src — Source matrix.
dst — Destination matrix with the same size and type as src .
stream — Stream for the asynchronous version.

absdiff()#

void cv::cuda::absdiff(
InputArray src1,
InputArray src2,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes per-element absolute difference of two matrices (or of a matrix and scalar).

Warning

In python both src1 and src2 have to be matrices, see absdiffWithScalar for scalar overload.

See also

cv::absdiff, absdiffWithScalar

Parameters

src1 — First source matrix or scalar.
src2 — Second source matrix or scalar.
dst — Destination matrix that has the same size and type as the input array(s).
stream — Stream for the asynchronous version.

absdiffWithScalar()#

void cv::cuda::absdiffWithScalar(
InputArray src1,
Scalar src2,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes per-element absolute difference of a matrix and scalar.

See also

absdiff

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size and type as the input array.
stream — Stream for the asynchronous version.

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add()#

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

#include <opencv2/cudaarithm.hpp>

Computes a matrix-matrix or matrix-scalar sum.

Warning

In python both src1 and src2 have to be matrices, see addWithScalar for scalar overload.

See also

cv::add, addWithScalar

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 — Stream for the asynchronous version.

addWeighted()#

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

#include <opencv2/cudaarithm.hpp>

Computes the weighted sum of two arrays.

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.

See also

addWeighted

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.

addWithScalar()#

void cv::cuda::addWithScalar(
InputArray src1,
Scalar src2,
OutputArray dst,
InputArray mask = noArray(),
int dtype = -1,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes a matrix-scalar sum.

See also

add

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size and number of channels as the input array. 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 — Stream for the asynchronous version.

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bitwise_and()#

void cv::cuda::bitwise_and(
InputArray src1,
InputArray src2,
OutputArray dst,
InputArray mask = noArray(),
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

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

Warning

In python both src1 and src2 have to be matrices, see bitwise_and_with_scalar for scalar overload.

See also

bitwise_and_with_scalar

Parameters

src1 — First source matrix or scalar.
src2 — Second source matrix or scalar.
dst — Destination matrix that has the same size and type as the input array(s).
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 — Stream for the asynchronous version.

bitwise_and_with_scalar()#

void cv::cuda::bitwise_and_with_scalar(
InputArray src1,
Scalar src2,
OutputArray dst,
InputArray mask = noArray(),
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise conjunction of a matrix and a scalar.

See also

bitwise_and

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size and type as the input array.
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 — Stream for the asynchronous version.

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bitwise_not()#

void cv::cuda::bitwise_not(
InputArray src,
OutputArray dst,
InputArray mask = noArray(),
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise inversion.

Parameters

src — Source matrix.
dst — Destination matrix with the same size and type as src .
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 — Stream for the asynchronous version.

bitwise_or()#

void cv::cuda::bitwise_or(
InputArray src1,
InputArray src2,
OutputArray dst,
InputArray mask = noArray(),
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

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

Warning

In python both src1 and src2 have to be matrices, see bitwise_or_with_scalar for scalar overload.

See also

cv::bitwise_or, bitwise_or_with_scalar

Parameters

src1 — First source matrix or scalar.
src2 — Second source matrix or scalar.
dst — Destination matrix that has the same size and type as the input array(s).
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 — Stream for the asynchronous version.

bitwise_or_with_scalar()#

void cv::cuda::bitwise_or_with_scalar(
InputArray src1,
Scalar src2,
OutputArray dst,
InputArray mask = noArray(),
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise disjunction of a matrix and scalar.

See also

bitwise_or

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size and type as the input array.
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 — Stream for the asynchronous version.

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bitwise_xor()#

void cv::cuda::bitwise_xor(
InputArray src1,
InputArray src2,
OutputArray dst,
InputArray mask = noArray(),
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

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

Warning

In python both src1 and src2 have to be matrices, see bitwise_xor_with_scalar for scalar overload.

Parameters

src1 — First source matrix or scalar.
src2 — Second source matrix or scalar.
dst — Destination matrix that has the same size and type as the input array.
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 — Stream for the asynchronous version.

bitwise_xor_with_scalar()#

void cv::cuda::bitwise_xor_with_scalar(
InputArray src1,
Scalar src2,
OutputArray dst,
InputArray mask = noArray(),
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise exclusive or operation of a matrix and a scalar.

See also

bitwise_xor

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size and type as the input array(s).
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 — Stream for the asynchronous version.

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cartToPolar()#

void cv::cuda::cartToPolar(
InputArray x,
InputArray y,
OutputArray magnitude,
OutputArray angle,
bool angleInDegrees = false,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Converts Cartesian coordinates into polar.

See also

cartToPolar

Parameters

x — Source matrix containing real components ( CV_32FC1 ).
y — Source matrix containing imaginary components ( CV_32FC1 ).
magnitude — Destination matrix of float magnitudes ( CV_32FC1 ).
angle — Destination matrix of angles ( CV_32FC1 ).
angleInDegrees — Flag for angles that must be evaluated in degrees.
stream — Stream for the asynchronous version.

cartToPolar()#

void cv::cuda::cartToPolar(
InputArray xy,
OutputArray magnitude,
OutputArray angle,
bool angleInDegrees = false,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Converts Cartesian coordinates into polar.

See also

cartToPolar

Parameters

xy — Source matrix containing real and imaginary components ( CV_32FC2 ).
magnitude — Destination matrix of float magnitudes ( CV_32FC1 ).
angle — Destination matrix of angles ( CV_32FC1 ).
angleInDegrees — Flag for angles that must be evaluated in degrees.
stream — Stream for the asynchronous version.

cartToPolar()#

void cv::cuda::cartToPolar(
InputArray xy,
OutputArray magnitudeAngle,
bool angleInDegrees = false,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Converts Cartesian coordinates into polar.

See also

cartToPolar

Parameters

xy — Source matrix containing real and imaginary components ( CV_32FC2 ).
magnitudeAngle — Destination matrix of float magnitudes and angles ( CV_32FC2 ).
angleInDegrees — Flag for angles that must be evaluated in degrees.
stream — Stream for the asynchronous version.

compare()#

void cv::cuda::compare(
InputArray src1,
InputArray src2,
OutputArray dst,
int cmpop,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Compares elements of two matrices (or of a matrix and scalar).

Warning

In python both src1 and src2 have to be matrices, see compareWithScalar for scalar overload.

See also

cv::compare, compareWithScalar

Parameters

src1 — First source matrix or scalar.
src2 — Second source matrix or scalar.
dst — Destination matrix that has the same size as the input array(s) and type CV_8U.
cmpop — Flag specifying the relation between the elements to be checked:
- CMP_EQ: a(.) == b(.)
- CMP_GT: a(.) > b(.)
- CMP_GE: a(.) >= b(.)
- CMP_LT: a(.) < b(.)
- CMP_LE: a(.) <= b(.)
- CMP_NE: a(.) != b(.)
stream — Stream for the asynchronous version.

compareWithScalar()#

void cv::cuda::compareWithScalar(
InputArray src1,
Scalar src2,
OutputArray dst,
int cmpop,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Compares elements of a matrix and scalar.

See also

compare

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size as the input array and type CV_8U.
cmpop — Flag specifying the relation between the elements to be checked:
- CMP_EQ: a(.) == b(.)
- CMP_GT: a(.) > b(.)
- CMP_GE: a(.) >= b(.)
- CMP_LT: a(.) < b(.)
- CMP_LE: a(.) <= b(.)
- CMP_NE: a(.) != b(.)
stream — Stream for the asynchronous version.

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divide()#

void cv::cuda::divide(
InputArray src1,
InputArray src2,
OutputArray dst,
double scale = 1,
int dtype = -1,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes a matrix-matrix or matrix-scalar division.

This function, in contrast to divide, uses a round-down rounding mode.

Warning

In python both src1 and src2 have to be matrices, see divideWithScalar for scalar overload.

See also

cv::divide, divideWithScalar

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.
scale — Optional scale factor.
dtype — Optional depth of the output array.
stream — Stream for the asynchronous version.

divideWithScalar()#

void cv::cuda::divideWithScalar(
InputArray src1,
Scalar src2,
OutputArray dst,
double scale = 1,
int dtype = -1,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes a matrix-scalar division.

This function, in contrast to divide, uses a round-down rounding mode.

See also

divide

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size and number of channels as the input array. The depth is defined by dtype or src1 depth.
scale — Optional scale factor.
dtype — Optional depth of the output array.
stream — Stream for the asynchronous version.

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exp()#

void cv::cuda::exp(
InputArray src,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes an exponent of each matrix element.

See also

exp

Parameters

src — Source matrix.
dst — Destination matrix with the same size and type as src .
stream — Stream for the asynchronous version.

inRange()#

void cv::cuda::inRange(
InputArray src,
const Scalar & lowerb,
const Scalar & upperb,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Checks if array elements lie between two scalars.

The function checks the range as follows:

For every element of a single-channel input array:

\[ \texttt{dst} (I)= \texttt{lowerb}_0 \leq \texttt{src} (I)_0 \leq \texttt{upperb}_0 \]

For two-channel arrays:

\[ \texttt{dst} (I)= \texttt{lowerb}_0 \leq \texttt{src} (I)_0 \leq \texttt{upperb}_0 \land \texttt{lowerb}_1 \leq \texttt{src} (I)_1 \leq \texttt{upperb}_1 \]

and so forth.

That is, dst (I) is set to 255 (all 1 -bits) if src (I) is within the specified 1D, 2D, 3D, … box and 0 otherwise.

Note that unlike the CPU inRange, this does NOT accept an array for lowerb or upperb, only a cv::Scalar.

See also

cv::inRange

Parameters

src — first input array.
lowerb — inclusive lower boundary cv::Scalar.
upperb — inclusive upper boundary cv::Scalar.
dst — output array of the same size as src and CV_8U type.
stream — Stream for the asynchronous version.

log()#

void cv::cuda::log(
InputArray src,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes a natural logarithm of absolute value of each matrix element.

See also

log

Parameters

src — Source matrix.
dst — Destination matrix with the same size and type as src .
stream — Stream for the asynchronous version.

lshift()#

void cv::cuda::lshift(
InputArray src,
Scalar val,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

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lshift()#

void cv::cuda::lshift(
InputArray src,
Scalar_< int > val,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Performs pixel by pixel right left of an image by a constant value.

Parameters

src — Source matrix. Supports 1, 3 and 4 channels images with CV_8U , CV_16U or CV_32S depth.
val — Constant values, one per channel.
dst — Destination matrix with the same size and type as src .
stream — Stream for the asynchronous version.

magnitude()#

void cv::cuda::magnitude(
InputArray x,
InputArray y,
OutputArray magnitude,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. computes magnitude of each (x(i), y(i)) vector supports only floating-point source

Parameters

x — Source matrix containing real components ( CV_32FC1 ).
y — Source matrix containing imaginary components ( CV_32FC1 ).
magnitude — Destination matrix of float magnitudes ( CV_32FC1 ).
stream — Stream for the asynchronous version.

magnitude()#

void cv::cuda::magnitude(
InputArray xy,
OutputArray magnitude,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes magnitudes of complex matrix elements.

See also

magnitude

Parameters

xy — Source complex matrix in the interleaved format ( CV_32FC2 ).
magnitude — Destination matrix of float magnitudes ( CV_32FC1 ).
stream — Stream for the asynchronous version.

magnitudeSqr()#

void cv::cuda::magnitudeSqr(
InputArray x,
InputArray y,
OutputArray magnitude,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. computes squared magnitude of each (x(i), y(i)) vector supports only floating-point source

Parameters

x — Source matrix containing real components ( CV_32FC1 ).
y — Source matrix containing imaginary components ( CV_32FC1 ).
magnitude — Destination matrix of float magnitude squares ( CV_32FC1 ).
stream — Stream for the asynchronous version.

magnitudeSqr()#

void cv::cuda::magnitudeSqr(
InputArray xy,
OutputArray magnitude,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes squared magnitudes of complex matrix elements.

Parameters

xy — Source complex matrix in the interleaved format ( CV_32FC2 ).
magnitude — Destination matrix of float magnitude squares ( CV_32FC1 ).
stream — Stream for the asynchronous version.

max()#

void cv::cuda::max(
InputArray src1,
InputArray src2,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes the per-element maximum of two matrices (or a matrix and a scalar).

Warning

In python both src1 and src2 have to be matrices, see maxWithScalar for scalar overload.

See also

cv::max, maxWithScalar

Parameters

src1 — First source matrix or scalar.
src2 — Second source matrix or scalar.
dst — Destination matrix that has the same size and type as the input array(s).
stream — Stream for the asynchronous version.

maxWithScalar()#

void cv::cuda::maxWithScalar(
InputArray src1,
Scalar src2,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes the per-element maximum of a matrix and a scalar.

See also

max

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size and type as the input array.
stream — Stream for the asynchronous version.

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min()#

void cv::cuda::min(
InputArray src1,
InputArray src2,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes the per-element minimum of two matrices (or a matrix and a scalar).

Warning

In python both src1 and src2 have to be matrices, see minWithScalar for scalar overload.

See also

cv::min, minWithScalar

Parameters

src1 — First source matrix or scalar.
src2 — Second source matrix or scalar.
dst — Destination matrix that has the same size and type as the input array(s).
stream — Stream for the asynchronous version.

minWithScalar()#

void cv::cuda::minWithScalar(
InputArray src1,
Scalar src2,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes the per-element minimum or a matrix and a scalar.

See also

min

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size and type as the input array.
stream — Stream for the asynchronous version.

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multiply()#

void cv::cuda::multiply(
InputArray src1,
InputArray src2,
OutputArray dst,
double scale = 1,
int dtype = -1,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

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

Warning

In python both src1 and src2 have to be matrices, see multiplyWithScalar for scalar overload.

See also

cv::multiply, multiplyWithScalar

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.
scale — Optional scale factor.
dtype — Optional depth of the output array.
stream — Stream for the asynchronous version.

multiplyWithScalar()#

void cv::cuda::multiplyWithScalar(
InputArray src1,
Scalar src2,
OutputArray dst,
double scale = 1,
int dtype = -1,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes a matrix-scalar per-element product.

See also

multiply

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size and number of channels as the input array. The depth is defined by dtype or src1 depth.
scale — Optional scale factor.
dtype — Optional depth of the output array.
stream — Stream for the asynchronous version.

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phase()#

void cv::cuda::phase(
InputArray x,
InputArray y,
OutputArray angle,
bool angleInDegrees = false,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes polar angles of complex matrix elements.

See also

phase

Parameters

x — Source matrix containing real components ( CV_32FC1 ).
y — Source matrix containing imaginary components ( CV_32FC1 ).
angle — Destination matrix of angles ( CV_32FC1 ).
angleInDegrees — Flag for angles that must be evaluated in degrees.
stream — Stream for the asynchronous version.

phase()#

void cv::cuda::phase(
InputArray xy,
OutputArray angle,
bool angleInDegrees = false,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes polar angles of complex matrix elements.

See also

phase

Parameters

xy — Source matrix containing real and imaginary components ( CV_32FC2 ).
angle — Destination matrix of angles ( CV_32FC1 ).
angleInDegrees — Flag for angles that must be evaluated in degrees.
stream — Stream for the asynchronous version.

polarToCart()#

void cv::cuda::polarToCart(
InputArray magnitude,
InputArray angle,
OutputArray x,
OutputArray y,
bool angleInDegrees = false,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Converts polar coordinates into Cartesian.

Parameters

magnitude — Source matrix containing magnitudes ( CV_32FC1 or CV_64FC1 ).
angle — Source matrix containing angles ( same type as magnitude ).
x — Destination matrix of real components ( same type as magnitude ).
y — Destination matrix of imaginary components ( same type as magnitude ).
angleInDegrees — Flag that indicates angles in degrees.
stream — Stream for the asynchronous version.

polarToCart()#

void cv::cuda::polarToCart(
InputArray magnitude,
InputArray angle,
OutputArray xy,
bool angleInDegrees = false,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Converts polar coordinates into Cartesian.

Parameters

magnitude — Source matrix containing magnitudes ( CV_32FC1 or CV_64FC1 ).
angle — Source matrix containing angles ( same type as magnitude ).
xy — Destination matrix of real and imaginary components ( same depth as magnitude, i.e. CV_32FC2 or CV_64FC2 ).
angleInDegrees — Flag that indicates angles in degrees.
stream — Stream for the asynchronous version.

polarToCart()#

void cv::cuda::polarToCart(
InputArray magnitudeAngle,
OutputArray xy,
bool angleInDegrees = false,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Converts polar coordinates into Cartesian.

Parameters

magnitudeAngle — Source matrix containing magnitudes and angles ( CV_32FC2 or CV_64FC2 ).
xy — Destination matrix of real and imaginary components ( same depth as source ).
angleInDegrees — Flag that indicates angles in degrees.
stream — Stream for the asynchronous version.

pow()#

void cv::cuda::pow(
InputArray src,
double power,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Raises every matrix element to a power.

The function pow raises every element of the input matrix to power :

\[ \texttt{dst} (I) = \fork{\texttt{src}(I)^power}{if \texttt{power} is integer}{|\texttt{src}(I)|^power}{otherwise} \]

See also

pow

Parameters

src — Source matrix.
power — Exponent of power.
dst — Destination matrix with the same size and type as src .
stream — Stream for the asynchronous version.

rshift()#

void cv::cuda::rshift(
InputArray src,
Scalar val,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

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rshift()#

void cv::cuda::rshift(
InputArray src,
Scalar_< int > val,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Performs pixel by pixel right shift of an image by a constant value.

Parameters

src — Source matrix. Supports 1, 3 and 4 channels images with integers elements.
val — Constant values, one per channel.
dst — Destination matrix with the same size and type as src .
stream — Stream for the asynchronous version.

scaleAdd()#

static void cv::cuda::scaleAdd(
InputArray src1,
double alpha,
InputArray src2,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

adds scaled array to another one (dst = alpha*src1 + src2)

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sqr()#

void cv::cuda::sqr(
InputArray src,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes a square value of each matrix element.

Parameters

src — Source matrix.
dst — Destination matrix with the same size and type as src .
stream — Stream for the asynchronous version.

sqrt()#

void cv::cuda::sqrt(
InputArray src,
OutputArray dst,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes a square root of each matrix element.

See also

sqrt

Parameters

src — Source matrix.
dst — Destination matrix with the same size and type as src .
stream — Stream for the asynchronous version.

subtract()#

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

#include <opencv2/cudaarithm.hpp>

Computes a matrix-matrix or matrix-scalar difference.

Warning

In python both src1 and src2 have to be matrices, see subtractWithScalar for scalar overload.

See also

cv::subtract, subtractWithScalar

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 — Stream for the asynchronous version.

subtractWithScalar()#

void cv::cuda::subtractWithScalar(
InputArray src1,
Scalar src2,
OutputArray dst,
InputArray mask = noArray(),
int dtype = -1,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Computes matrix-scalar difference.

See also

cv::subtract

Parameters

src1 — First source matrix.
src2 — Second source scalar.
dst — Destination matrix that has the same size and number of channels as the input array. 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 — Stream for the asynchronous version.

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threshold()#

double cv::cuda::threshold(
InputArray src,
OutputArray dst,
double thresh,
double maxval,
int type,
Stream & stream = Stream::Null() )

#include <opencv2/cudaarithm.hpp>

Applies a fixed-level threshold to each array element.

The special value cv::THRESH_OTSU may be combined with one of the other types. In this case, the function determines the optimal threshold value using the Otsu’s and uses it instead of the specified threshold. The function returns the computed threshold value in addititon to the thresholded matrix. The Otsu’s method is implemented only for 8-bit matrices.

See also

threshold

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_TRIANGLE threshold type is not supported.
stream — Stream for the asynchronous version.