Class cv::cuda::FastFeatureDetector#

Wrapping class for feature detection using the FAST method.

#include <opencv2/cudafeatures2d.hpp>

Collaboration diagram for cv::cuda::FastFeatureDetector:

cv::cuda::FastFeatureDetector Node1 cv::cuda::FastFeatureDetector   + getMaxNumPoints() + setMaxNumPoints() + setThreshold() + create() Node2 cv::cuda::Feature2DAsync   + ~Feature2DAsync() + computeAsync() + convert() + detectAndComputeAsync() + detectAsync() Node2->Node1 Node3 cv::Feature2D   + ~Feature2D() + compute() + compute() + defaultNorm() + descriptorSize() + descriptorType() + detect() + detect() + detectAndCompute() + empty() and 6 more... Node3->Node2 Node4 cv::Algorithm   + Algorithm() + ~Algorithm() + clear() + empty() + getDefaultName() + read() + save() + write() + write() + load() + loadFromString() + read() # writeFormat() Node4->Node3 Node5 int     Node5->Node1 +FEATURE_SIZE +LOCATION_ROW +RESPONSE_ROW +ROWS_COUNT

cv::cuda::FastFeatureDetector Node1 cv::cuda::FastFeatureDetector   + getMaxNumPoints() + setMaxNumPoints() + setThreshold() + create() Node2 cv::cuda::Feature2DAsync   + ~Feature2DAsync() + computeAsync() + convert() + detectAndComputeAsync() + detectAsync() Node2->Node1 Node3 cv::Feature2D   + ~Feature2D() + compute() + compute() + defaultNorm() + descriptorSize() + descriptorType() + detect() + detect() + detectAndCompute() + empty() and 6 more... Node3->Node2 Node4 cv::Algorithm   + Algorithm() + ~Algorithm() + clear() + empty() + getDefaultName() + read() + save() + write() + write() + load() + loadFromString() + read() # writeFormat() Node4->Node3 Node5 int     Node5->Node1 +FEATURE_SIZE +LOCATION_ROW +RESPONSE_ROW +ROWS_COUNT

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#

Protected Member Functions inherited from cv::Algorithm

Return

Name

Description

void

writeFormat(FileStorage & fs)

Detailed Description#

Wrapping class for feature detection using the FAST method.

Member Function Documentation#

create()#

static Ptr< cuda::FastFeatureDetector > cv::cuda::FastFeatureDetector::create(
int threshold = 10,
bool nonmaxSuppression = true,
int type = cv::FastFeatureDetector::TYPE_9_16,
int max_npoints = 5000 )

getMaxNumPoints()#

int cv::cuda::FastFeatureDetector::getMaxNumPoints()

setMaxNumPoints()#

void cv::cuda::FastFeatureDetector::setMaxNumPoints(int max_npoints)

setThreshold()#

void cv::cuda::FastFeatureDetector::setThreshold(int threshold)

Member Data Documentation#

FEATURE_SIZE#

static const int cv::cuda::FastFeatureDetector::FEATURE_SIZE = 7

LOCATION_ROW#

static const int cv::cuda::FastFeatureDetector::LOCATION_ROW = 0

RESPONSE_ROW#

static const int cv::cuda::FastFeatureDetector::RESPONSE_ROW = 1

ROWS_COUNT#

static const int cv::cuda::FastFeatureDetector::ROWS_COUNT = 2

Source file#

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