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OpenCV
Open Source Computer Vision
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Abstract base class for CUDA asynchronous 2D image feature detectors and descriptor extractors. More...
#include <opencv2/cudafeatures2d.hpp>
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. | |
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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). | |
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 |
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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 |
Additional Inherited Members | |
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template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file. | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String. | |
template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node. | |
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void | writeFormat (FileStorage &fs) const |
Abstract base class for CUDA asynchronous 2D image feature detectors and descriptor extractors.
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Computes the descriptors for a set of keypoints detected in an image.
image | Image. |
keypoints | Input collection of keypoints. |
descriptors | Computed descriptors. Row j is the descriptor for j-th keypoint. |
stream | CUDA stream. |
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pure virtual |
Converts keypoints array from internal representation to standard vector.
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virtual |
Detects keypoints and computes the descriptors.
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virtual |
Detects keypoints in an image.
image | Image. |
keypoints | The detected keypoints. |
mask | Mask specifying where to look for keypoints (optional). It must be a 8-bit integer matrix with non-zero values in the region of interest. |
stream | CUDA stream. |