Class cv::cuda::CornersDetector#

Base class for Corners Detector. :

#include <opencv2/cudafeatures2d.hpp>

Collaboration diagram for cv::cuda::CornersDetector:

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 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.

Base class for Corners Detector. :

void cv::cuda::CornersDetector::detect(
InputArray image,
OutputArray corners,
InputArray mask = noArray(),
Stream & stream = Stream::Null() )

Determines strong corners on an image.

Parameters

image — Input 8-bit or floating-point 32-bit, single-channel image.
corners — Output vector of detected corners (1-row matrix with CV_32FC2 type with corners positions).
mask — Optional region of interest. If the image is not empty (it needs to have the type CV_8UC1 and the same size as image ), it specifies the region in which the corners are detected.
stream — Stream for the asynchronous version.

Here is the call graph for this function:

void cv::cuda::CornersDetector::setMaxCorners(int maxCorners)

void cv::cuda::CornersDetector::setMinDistance(double minDistance)

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