Struct opencv::xfeatures2d::HarrisLaplaceFeatureDetector

pub struct HarrisLaplaceFeatureDetector { /* private fields */ }

Class implementing the Harris-Laplace feature detector as described in Mikolajczyk2004.

Implementations

impl HarrisLaplaceFeatureDetector

pub fn create( num_octaves: i32, corn_thresh: f32, dog_thresh: f32, max_corners: i32, num_layers: i32 ) -> Result<Ptr<HarrisLaplaceFeatureDetector>>

Creates a new implementation instance.

Parameters

• numOctaves: the number of octaves in the scale-space pyramid
• corn_thresh: the threshold for the Harris cornerness measure
• DOG_thresh: the threshold for the Difference-of-Gaussians scale selection
• maxCorners: the maximum number of corners to consider
• num_layers: the number of intermediate scales per octave

C++ default parameters

• num_octaves: 6
• corn_thresh: 0.01f
• dog_thresh: 0.01f
• max_corners: 5000
• num_layers: 4

Trait Implementations

impl AlgorithmTrait for HarrisLaplaceFeatureDetector

fn as_raw_mut_Algorithm(&mut self) -> *mut c_void

fn clear(&mut self) -> Result<()>

Clears the algorithm state

fn read(&mut self, fn_: &FileNode) -> Result<()>

Reads algorithm parameters from a file storage

impl AlgorithmTraitConst for HarrisLaplaceFeatureDetector

fn as_raw_Algorithm(&self) -> *const c_void

fn write(&self, fs: &mut FileStorage) -> Result<()>

Stores algorithm parameters in a file storage

fn write_1(&self, fs: &mut FileStorage, name: &str) -> Result<()>

Stores algorithm parameters in a file storage

fn write_with_name(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

@deprecated

fn empty(&self) -> Result<bool>

Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read

fn save(&self, filename: &str) -> Result<()>

Saves the algorithm to a file. In order to make this method work, the derived class must implement Algorithm::write(FileStorage& fs).

fn get_default_name(&self) -> Result<String>

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

impl Boxed for HarrisLaplaceFeatureDetector

unsafe fn from_raw(ptr: *mut c_void) -> Self

Wrap the specified raw pointer

fn into_raw(self) -> *mut c_void

Return an the underlying raw pointer while consuming this wrapper.

fn as_raw(&self) -> *const c_void

Return the underlying raw pointer.

fn as_raw_mut(&mut self) -> *mut c_void

Return the underlying mutable raw pointer

impl Debug for HarrisLaplaceFeatureDetector

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Drop for HarrisLaplaceFeatureDetector

fn drop(&mut self)

Executes the destructor for this type.

impl Feature2DTrait for HarrisLaplaceFeatureDetector

fn as_raw_mut_Feature2D(&mut self) -> *mut c_void

fn detect( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, mask: &impl ToInputArray ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn detect_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, masks: &impl ToInputArray ) -> Result<()>

Detects keypoints in an image (first variant) or image set (second variant).

fn compute( &mut self, image: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn compute_multiple( &mut self, images: &impl ToInputArray, keypoints: &mut Vector<Vector<KeyPoint>>, descriptors: &mut impl ToOutputArray ) -> Result<()>

Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

fn detect_and_compute( &mut self, image: &impl ToInputArray, mask: &impl ToInputArray, keypoints: &mut Vector<KeyPoint>, descriptors: &mut impl ToOutputArray, use_provided_keypoints: bool ) -> Result<()>

Detects keypoints and computes the descriptors

fn read(&mut self, file_name: &str) -> Result<()>

fn read_1(&mut self, unnamed: &FileNode) -> Result<()>

impl Feature2DTraitConst for HarrisLaplaceFeatureDetector

fn as_raw_Feature2D(&self) -> *const c_void

fn descriptor_size(&self) -> Result<i32>

fn descriptor_type(&self) -> Result<i32>

fn default_norm(&self) -> Result<i32>

fn write(&self, file_name: &str) -> Result<()>

fn write_1(&self, unnamed: &mut FileStorage) -> Result<()>

fn empty(&self) -> Result<bool>

Return true if detector object is empty

fn get_default_name(&self) -> Result<String>

fn write_2(&self, fs: &mut FileStorage, name: &str) -> Result<()>

fn write_3(&self, fs: &Ptr<FileStorage>, name: &str) -> Result<()>

impl From<HarrisLaplaceFeatureDetector> for Algorithm

fn from(s: HarrisLaplaceFeatureDetector) -> Self

Converts to this type from the input type.

impl From<HarrisLaplaceFeatureDetector> for Feature2D

fn from(s: HarrisLaplaceFeatureDetector) -> Self

Converts to this type from the input type.

impl HarrisLaplaceFeatureDetectorTrait for HarrisLaplaceFeatureDetector

fn as_raw_mut_HarrisLaplaceFeatureDetector(&mut self) -> *mut c_void

fn set_num_octaves(&mut self, num_octaves_: i32) -> Result<()>

fn set_corn_thresh(&mut self, corn_thresh_: f32) -> Result<()>

fn set_dog_thresh(&mut self, dog_thresh_: f32) -> Result<()>

fn set_max_corners(&mut self, max_corners_: i32) -> Result<()>

fn set_num_layers(&mut self, num_layers_: i32) -> Result<()>

impl HarrisLaplaceFeatureDetectorTraitConst for HarrisLaplaceFeatureDetector

fn as_raw_HarrisLaplaceFeatureDetector(&self) -> *const c_void

fn get_num_octaves(&self) -> Result<i32>

fn get_corn_thresh(&self) -> Result<f32>

fn get_dog_thresh(&self) -> Result<f32>

fn get_max_corners(&self) -> Result<i32>

fn get_num_layers(&self) -> Result<i32>

fn get_default_name(&self) -> Result<String>

impl Send for HarrisLaplaceFeatureDetector