OpenCV  5.0.0-pre
Open Source Computer Vision
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Public Member Functions | List of all members
cv::cuda::Feature2DAsync Class Referenceabstract

Abstract base class for CUDA asynchronous 2D image feature detectors and descriptor extractors. More...

#include <opencv2/cudafeatures2d.hpp>

Collaboration diagram for cv::cuda::Feature2DAsync:

Public Member Functions

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 (const Ptr< FileStorage > &fs, const String &name=String()) const
 
void write (FileStorage &fs, const String &name) const
 

Additional Inherited Members

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

Detailed Description

Abstract base class for CUDA asynchronous 2D image feature detectors and descriptor extractors.

Constructor & Destructor Documentation

◆ ~Feature2DAsync()

virtual cv::cuda::Feature2DAsync::~Feature2DAsync ( )
virtual

Member Function Documentation

◆ computeAsync()

virtual void cv::cuda::Feature2DAsync::computeAsync ( InputArray  image,
OutputArray  keypoints,
OutputArray  descriptors,
Stream stream = Stream::Null() 
)
virtual

Computes the descriptors for a set of keypoints detected in an image.

Parameters
imageImage.
keypointsInput collection of keypoints.
descriptorsComputed descriptors. Row j is the descriptor for j-th keypoint.
streamCUDA stream.

◆ convert()

virtual void cv::cuda::Feature2DAsync::convert ( InputArray  gpu_keypoints,
std::vector< KeyPoint > &  keypoints 
)
pure virtual

Converts keypoints array from internal representation to standard vector.

◆ detectAndComputeAsync()

virtual void cv::cuda::Feature2DAsync::detectAndComputeAsync ( InputArray  image,
InputArray  mask,
OutputArray  keypoints,
OutputArray  descriptors,
bool  useProvidedKeypoints = false,
Stream stream = Stream::Null() 
)
virtual

Detects keypoints and computes the descriptors.

◆ detectAsync()

virtual void cv::cuda::Feature2DAsync::detectAsync ( InputArray  image,
OutputArray  keypoints,
InputArray  mask = noArray(),
Stream stream = Stream::Null() 
)
virtual

Detects keypoints in an image.

Parameters
imageImage.
keypointsThe detected keypoints.
maskMask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest.
streamCUDA stream.
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The documentation for this class was generated from the following file: