Type Definition opencv::types::PtrOfHarrisLaplaceFeatureDetector

type PtrOfHarrisLaplaceFeatureDetector = Ptr<HarrisLaplaceFeatureDetector>;

Implementations

impl PtrOfHarrisLaplaceFeatureDetector

pub fn as_raw_PtrOfHarrisLaplaceFeatureDetector(&self) -> *const c_void

pub fn as_raw_mut_PtrOfHarrisLaplaceFeatureDetector(&mut self) -> *mut c_void

Trait Implementations

impl AlgorithmTrait for PtrOfHarrisLaplaceFeatureDetector

pub fn as_raw_Algorithm(&self) -> *const c_void

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

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

Clears the algorithm state

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

Stores algorithm parameters in a file storage

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

simplified API for language bindings Stores algorithm parameters in a file storage

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

Reads algorithm parameters from a file storage

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

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

pub 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).

pub 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 Feature2DTrait for PtrOfHarrisLaplaceFeatureDetector

pub fn as_raw_Feature2D(&self) -> *const c_void

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

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

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

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

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

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

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

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

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

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

Detects keypoints and computes the descriptors

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

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

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

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

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

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

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

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

Return true if detector object is empty

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

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

C++ default parameters

impl HarrisLaplaceFeatureDetectorTrait for PtrOfHarrisLaplaceFeatureDetector

pub fn as_raw_HarrisLaplaceFeatureDetector(&self) -> *const c_void

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