OpenCV  5.0.0alpha
Open Source Computer Vision
Loading...
Searching...
No Matches

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

#include <opencv2/cudafeatures2d.hpp>

Collaboration diagram for cv::cuda::ORB:

Public Member Functions

virtual bool getBlurForDescriptor () const =0
 
virtual int getEdgeThreshold () const =0
 
virtual int getFastThreshold () const =0
 
virtual int getFirstLevel () const =0
 
virtual int getMaxFeatures () const =0
 
virtual int getNLevels () const =0
 
virtual int getPatchSize () const =0
 
virtual double getScaleFactor () const =0
 
virtual int getScoreType () const =0
 
virtual int getWTA_K () const =0
 
virtual void setBlurForDescriptor (bool blurForDescriptor)=0
 if true, image will be blurred before descriptors calculation
 
virtual void setEdgeThreshold (int edgeThreshold)=0
 
virtual void setFastThreshold (int fastThreshold)=0
 
virtual void setFirstLevel (int firstLevel)=0
 
virtual void setMaxFeatures (int maxFeatures)=0
 
virtual void setNLevels (int nlevels)=0
 
virtual void setPatchSize (int patchSize)=0
 
virtual void setScaleFactor (double scaleFactor)=0
 
virtual void setScoreType (int scoreType)=0
 
virtual void setWTA_K (int wta_k)=0
 
- Public Member Functions inherited from cv::cuda::Feature2DAsync
virtual ~Feature2DAsync ()
 
virtual void computeAsync (InputArray image, OutputArray keypoints, OutputArray descriptors, Stream &stream=Stream::Null())
 Computes the descriptors for a set of keypoints detected in an image.
 
virtual void convert (InputArray gpu_keypoints, std::vector< KeyPoint > &keypoints)=0
 
virtual void detectAndComputeAsync (InputArray image, InputArray mask, OutputArray keypoints, OutputArray descriptors, bool useProvidedKeypoints=false, Stream &stream=Stream::Null())
 
virtual 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
virtual ~Feature2D ()
 
virtual 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).
 
virtual void compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)
 
virtual int defaultNorm () const
 
virtual int descriptorSize () const
 
virtual int descriptorType () const
 
virtual void detect (InputArray image, std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
 Detects keypoints in an image (first variant) or image set (second variant).
 
virtual void detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())
 
virtual void detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
 
virtual bool empty () const CV_OVERRIDE
 Return true if detector object is empty.
 
virtual String getDefaultName () const CV_OVERRIDE
 
virtual void read (const FileNode &) CV_OVERRIDE
 Reads algorithm parameters from a file storage.
 
void read (const String &fileName)
 
void write (const String &fileName) const
 
virtual void write (FileStorage &) const CV_OVERRIDE
 Stores algorithm parameters in a file storage.
 
void write (FileStorage &fs, const String &name) const
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state.
 
virtual void save (const String &filename) const
 
void write (FileStorage &fs, const String &name) const
 

Static Public Member Functions

static Ptr< cuda::ORBcreate (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)
 
- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tpload (const String &filename, const String &objname=String())
 Loads algorithm from the file.
 
template<typename _Tp >
static Ptr< _TploadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.
 
template<typename _Tp >
static Ptr< _Tpread (const FileNode &fn)
 Reads algorithm from the file node.
 

Static Public Attributes

static const int ANGLE_ROW = 3
 
static const int OCTAVE_ROW = 4
 
static const int RESPONSE_ROW = 2
 
static const int ROWS_COUNT = 6
 
static const int SIZE_ROW = 5
 
static const int X_ROW = 0
 
static const int Y_ROW = 1
 

Additional Inherited Members

- Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const
 

Detailed Description

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

See also
cv::ORB

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 )
static

◆ getBlurForDescriptor()

virtual bool cv::cuda::ORB::getBlurForDescriptor ( ) const
pure virtual

◆ getEdgeThreshold()

virtual int cv::cuda::ORB::getEdgeThreshold ( ) const
pure virtual

◆ getFastThreshold()

virtual int cv::cuda::ORB::getFastThreshold ( ) const
pure virtual

◆ getFirstLevel()

virtual int cv::cuda::ORB::getFirstLevel ( ) const
pure virtual

◆ getMaxFeatures()

virtual int cv::cuda::ORB::getMaxFeatures ( ) const
pure virtual

◆ getNLevels()

virtual int cv::cuda::ORB::getNLevels ( ) const
pure virtual

◆ getPatchSize()

virtual int cv::cuda::ORB::getPatchSize ( ) const
pure virtual

◆ getScaleFactor()

virtual double cv::cuda::ORB::getScaleFactor ( ) const
pure virtual

◆ getScoreType()

virtual int cv::cuda::ORB::getScoreType ( ) const
pure virtual

◆ getWTA_K()

virtual int cv::cuda::ORB::getWTA_K ( ) const
pure virtual

◆ setBlurForDescriptor()

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

if true, image will be blurred before descriptors calculation

◆ setEdgeThreshold()

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

◆ setFastThreshold()

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

◆ setFirstLevel()

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

◆ setMaxFeatures()

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

◆ setNLevels()

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

◆ setPatchSize()

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

◆ setScaleFactor()

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

◆ setScoreType()

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

◆ setWTA_K()

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

Member Data Documentation

◆ ANGLE_ROW

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

◆ OCTAVE_ROW

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

◆ RESPONSE_ROW

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

◆ ROWS_COUNT

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

◆ SIZE_ROW

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

◆ X_ROW

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

◆ Y_ROW

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

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