#include <ImFusion/Vision/RIDEFeatureDetector.h>
Implementation of "RIDE: Self-Supervised Learning of Rotation-Equivariant Keypoint Detection and Invariant Description for Endoscopy" published at ICRA 2024: https://ieeexplore.ieee.org/abstract/document/10611381.
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Implementation of "RIDE: Self-Supervised Learning of Rotation-Equivariant Keypoint Detection and Invariant Description for Endoscopy" published at ICRA 2024: https://ieeexplore.ieee.org/abstract/document/10611381.
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Parameter< bool > | p_rotationInvariantize = {"Rotation invariance", true, this} |
| | Flag to enable rotation invariantization of the output descriptors.
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Parameter< bool > | p_applyDenseNMS = {"Dense non maximum suppression", true, this} |
| | Flag to enable dense non maximum suppression.
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Parameter< int > | p_nmsRadius = {"Dense non maximum suppression radius", 4, this} |
| | Radius for dense non maximum suppression.
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Parameter< int > | p_maxFeatures = {"Max features", 5000, this} |
| | Maximum number of keypoints to detect.
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Signal | signalParametersChanged |
| | Emitted whenever one of the registered Parameters' or SubPropertys' signalValueChanged signal was emitted.
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◆ name()
Convenience function for getting the name of the feature detector.
Implements FeatureDetector.
◆ detect()
Runs the detection and decription on the given image.
- Parameters
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- Returns
- A vector of detected keypoints
Implements FeatureDetector.
◆ configure()
Configures the feature detector with the given properties.
Reimplemented from Configurable.
◆ configuration()
Retrieves the current configuration of the feature detector.
Reimplemented from Configurable.
The documentation for this class was generated from the following file:
- ImFusion/Vision/RIDEFeatureDetector.h