Class cv::cuda::Convolution#

Base class for convolution (or cross-correlation) operator. :

Collaboration diagram for cv::cuda::Convolution:

Public Member Functions#

Public Member Functions inherited from cv::Algorithm

Return

Name

Description

Algorithm()

~Algorithm()

void

clear()

Clears the algorithm state.

bool

empty()

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.

String

getDefaultName()

void

read(const FileNode & fn)

Reads algorithm parameters from a file storage.

void

save(const String & filename)

void

write(
    const Ptr< FileStorage > & fs,
    const String & name = String() )

void

write(FileStorage & fs)

Stores algorithm parameters in a file storage.

void

write(
    FileStorage & fs,
    const String & name )

Static Public Member Functions#

Static Public Member Functions inherited from cv::Algorithm

Return

Name

Description

static Ptr< _Tp >

load(
    const String & filename,
    const String & objname = String() )

Loads algorithm from the file.

static Ptr< _Tp >

loadFromString(
    const String & strModel,
    const String & objname = String() )

Loads algorithm from a String.

static Ptr< _Tp >

read(const FileNode & fn)

Reads algorithm from the file node.

Additional Inherited Members#

Protected Member Functions inherited from cv::Algorithm

Return

Name

Description

void

writeFormat(FileStorage & fs)

Detailed Description#

Base class for convolution (or cross-correlation) operator. :

Examples
samples/cpp/tutorial_code/photo/non_photorealistic_rendering/npr_demo.cpp.

Member Function Documentation#

convolve()#

void cv::cuda::Convolution::convolve(
InputArray image,
InputArray templ,
OutputArray result,
bool ccorr = false,
Stream & stream = Stream::Null() )

Computes a convolution (or cross-correlation) of two images.

Parameters

  • image — Source image. Only CV_32FC1 images are supported for now.

  • templ — Template image. The size is not greater than the image size. The type is the same as image .

  • result — Result image. If image is W x H and templ is w x h, then result must be W-w+1 x H-h+1.

  • ccorr — Flags to evaluate cross-correlation instead of convolution.

  • streamStream for the asynchronous version.

Source file#

The documentation for this class was generated from the following file: