Class cv::ALIKED#

ALIKED feature detector and descriptor extractor. View details

#include <opencv2/features.hpp>

Collaboration diagram for cv::ALIKED:

Public Member Functions#

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#

Detailed Description#

ALIKED feature detector and descriptor extractor.

ALIKED (A Lightweight Image KEYpoint Detector) is a CNN-based feature detector and descriptor extractor, as described in Zhao23 . It produces 128-dimensional float descriptors and keypoints with sub-pixel accuracy.

The model expects RGB input [1,3,H,W] and internally converts BGR images to RGB.

Examples: samples/cpp/stitching_detailed.cpp.

Constructor & Destructor Documentation#

ALIKED()#

cv::ALIKED::ALIKED()

~ALIKED()#

cv::ALIKED::~ALIKED()

Member Function Documentation#

create()#

static Ptr< ALIKED > cv::ALIKED::create(
const String & modelPath,
const ALIKED::Params & params = ALIKED::Params() )

Python:

cv.ALIKED.create(modelPath[, params]) -> retval

cv.ALIKED_create(modelPath[, params]) -> retval

Creates ALIKED from a model file path.

Parameters

modelPath — Path to the ONNX model file.
params — ALIKED parameters.

Source file#

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

opencv2/features.hpp