Class cv::cuda::ORB#

Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor. View details

#include <opencv2/cudafeatures2d.hpp>

Collaboration diagram for cv::cuda::ORB:

Public Member Functions#

Public Member Functions inherited from cv::cuda::Feature2DAsync

Return	Name	Description
	`~Feature2DAsync()`
`void`	`computeAsync(` `InputArray image,` `OutputArray keypoints,` `OutputArray descriptors,` `Stream & stream = Stream::Null() )`	Computes the descriptors for a set of keypoints detected in an image.
`void`	`convert(` `InputArray gpu_keypoints,` `std::vector< KeyPoint > & keypoints )`
`void`	`detectAndComputeAsync(` `InputArray image,` `InputArray mask,` `OutputArray keypoints,` `OutputArray descriptors,` `bool useProvidedKeypoints = false,` `Stream & stream = Stream::Null() )`
`void`	`detectAsync(` `InputArray image,` `OutputArray keypoints,` `InputArray mask = noArray(),` `Stream & stream = Stream::Null() )`	Detects keypoints in an image.

Public Member Functions inherited from cv::Feature2D

Return	Name	Description
	`~Feature2D()`
`void`	`compute(` `InputArray image,` `std::vector< KeyPoint > & keypoints,` `OutputArray descriptors )`	Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).
`void`	`compute(` `InputArrayOfArrays images,` `std::vector< std::vector< KeyPoint > > & keypoints,` `OutputArrayOfArrays descriptors )`
`int`	`defaultNorm()`
`int`	`descriptorSize()`
`int`	`descriptorType()`
`void`	`detect(` `InputArray image,` `std::vector< KeyPoint > & keypoints,` `InputArray mask = noArray() )`	Detects keypoints in an image (first variant) or image set (second variant).
`void`	`detect(` `InputArrayOfArrays images,` `std::vector< std::vector< KeyPoint > > & keypoints,` `InputArrayOfArrays masks = noArray() )`
`void`	`detectAndCompute(` `InputArray image,` `InputArray mask,` `std::vector< KeyPoint > & keypoints,` `OutputArray descriptors,` `bool useProvidedKeypoints = false )`
`bool`	`empty()`	Return true if detector object is empty.
`String`	`getDefaultName()`
`void`	`read(const FileNode & fn)`	Reads algorithm parameters from a file storage.
`void`	`read(const String & fileName)`
`void`	`write(const String & fileName)`
`void`	`write(FileStorage & fs)`	Stores algorithm parameters in a file storage.
`void`	`write(` `FileStorage & fs,` `const String & name )`

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#

Detailed Description#

Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor.

Member Function Documentation#

create()#

static Ptr< cuda::ORB > cv::cuda::ORB::create(
int nfeatures = 500,
float scaleFactor = 1.2f,
int nlevels = 8,
int edgeThreshold = 31,
int firstLevel = 0,
int WTA_K = 2,
int scoreType = cv::ORB::HARRIS_SCORE,
int patchSize = 31,
int fastThreshold = 20,
bool blurForDescriptor = false )

getBlurForDescriptor()#

bool cv::cuda::ORB::getBlurForDescriptor()

getEdgeThreshold()#

int cv::cuda::ORB::getEdgeThreshold()

getFastThreshold()#

int cv::cuda::ORB::getFastThreshold()

getFirstLevel()#

int cv::cuda::ORB::getFirstLevel()

getMaxFeatures()#

int cv::cuda::ORB::getMaxFeatures()

getNLevels()#

int cv::cuda::ORB::getNLevels()

getPatchSize()#

int cv::cuda::ORB::getPatchSize()

getScaleFactor()#

double cv::cuda::ORB::getScaleFactor()

getScoreType()#

int cv::cuda::ORB::getScoreType()

getWTA_K()#

int cv::cuda::ORB::getWTA_K()

setBlurForDescriptor()#

void cv::cuda::ORB::setBlurForDescriptor(bool blurForDescriptor)

if true, image will be blurred before descriptors calculation

setEdgeThreshold()#

void cv::cuda::ORB::setEdgeThreshold(int edgeThreshold)

setFastThreshold()#

void cv::cuda::ORB::setFastThreshold(int fastThreshold)

setFirstLevel()#

void cv::cuda::ORB::setFirstLevel(int firstLevel)

setMaxFeatures()#

void cv::cuda::ORB::setMaxFeatures(int maxFeatures)

setNLevels()#

void cv::cuda::ORB::setNLevels(int nlevels)

setPatchSize()#

void cv::cuda::ORB::setPatchSize(int patchSize)

setScaleFactor()#

void cv::cuda::ORB::setScaleFactor(double scaleFactor)

setScoreType()#

void cv::cuda::ORB::setScoreType(int scoreType)

setWTA_K()#

void cv::cuda::ORB::setWTA_K(int wta_k)

Member Data Documentation#

ANGLE_ROW#

static const int cv::cuda::ORB::ANGLE_ROW = 3

OCTAVE_ROW#

static const int cv::cuda::ORB::OCTAVE_ROW = 4

RESPONSE_ROW#

static const int cv::cuda::ORB::RESPONSE_ROW = 2

ROWS_COUNT#

static const int cv::cuda::ORB::ROWS_COUNT = 6

SIZE_ROW#

static const int cv::cuda::ORB::SIZE_ROW = 5

X_ROW#

static const int cv::cuda::ORB::X_ROW = 0

Y_ROW#

static const int cv::cuda::ORB::Y_ROW = 1

Source file#

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

opencv2/cudafeatures2d.hpp