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| virtual | ~ALIKED () |
| 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 |
| | 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 |
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.