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OpenCV
3.4.20
Open Source Computer Vision
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Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor. More...
#include <opencv2/cudafeatures2d.hpp>
Public Types | |
enum | { X_ROW = 0, Y_ROW, RESPONSE_ROW, ANGLE_ROW, OCTAVE_ROW, SIZE_ROW, ROWS_COUNT } |
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enum | { kBytes = 32, HARRIS_SCORE =0, FAST_SCORE =1 } |
Public Member Functions | |
virtual bool | getBlurForDescriptor () const =0 |
virtual void | setBlurForDescriptor (bool blurForDescriptor)=0 |
if true, image will be blurred before descriptors calculation More... | |
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virtual String | getDefaultName () const CV_OVERRIDE |
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 | 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 |
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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). More... | |
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). More... | |
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. More... | |
void | read (const String &fileName) |
virtual void | read (const FileNode &) CV_OVERRIDE |
Reads algorithm parameters from a file storage. More... | |
void | write (const String &fileName) const |
virtual void | write (FileStorage &) const CV_OVERRIDE |
Stores algorithm parameters in a file storage. More... | |
void | write (FileStorage &fs, const String &name) const |
void | write (const Ptr< FileStorage > &fs, const String &name) const |
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Algorithm () | |
virtual | ~Algorithm () |
virtual void | clear () |
Clears the algorithm state. More... | |
virtual void | save (const String &filename) const |
void | write (FileStorage &fs, const String &name) const |
void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
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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. More... | |
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. More... | |
Static Public Member Functions | |
static Ptr< ORB > | create (int nfeatures=500, float scaleFactor=1.2f, int nlevels=8, int edgeThreshold=31, int firstLevel=0, int WTA_K=2, int scoreType=ORB::HARRIS_SCORE, int patchSize=31, int fastThreshold=20, bool blurForDescriptor=false) |
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static Ptr< ORB > | create (int nfeatures=500, float scaleFactor=1.2f, int nlevels=8, int edgeThreshold=31, int firstLevel=0, int WTA_K=2, int scoreType=ORB::HARRIS_SCORE, int patchSize=31, int fastThreshold=20) |
The ORB constructor. More... | |
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template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file. More... | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String. More... | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node. More... | |
Additional Inherited Members | |
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void | writeFormat (FileStorage &fs) const |
Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor.
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static |
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pure virtual |
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pure virtual |
if true, image will be blurred before descriptors calculation