Struct opencv::types::PtrOfHarrisLaplaceFeatureDetector

pub struct PtrOfHarrisLaplaceFeatureDetector { /* fields omitted */ }

Methods

impl PtrOfHarrisLaplaceFeatureDetector

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

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

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

Get raw pointer to the inner object

Trait Implementations

impl AlgorithmTrait for PtrOfHarrisLaplaceFeatureDetector

fn as_raw_Algorithm(&self) -> *mut c_void

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

Clears the algorithm state

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

Stores algorithm parameters in a file storage

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

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

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

Reads algorithm parameters from a file storage

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 Drop for PtrOfHarrisLaplaceFeatureDetector

fn drop(&mut self)

Executes the destructor for this type.

impl Feature2DTrait for PtrOfHarrisLaplaceFeatureDetector

fn as_raw_Feature2D(&self) -> *mut c_void

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

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

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

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

fn compute(
    &mut self,
    image: &dyn ToInputArray,
    keypoints: &mut VectorOfKeyPoint,
    descriptors: &mut dyn 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: &dyn ToInputArray,
    keypoints: &mut VectorOfVectorOfKeyPoint,
    descriptors: &mut dyn 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: &dyn ToInputArray,
    mask: &dyn ToInputArray,
    keypoints: &mut VectorOfKeyPoint,
    descriptors: &mut dyn ToOutputArray,
    use_provided_keypoints: bool
) -> Result<()>

Detects keypoints and computes the descriptors

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

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

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

C++ default parameters * name: String()

impl HarrisLaplaceFeatureDetectorTrait for PtrOfHarrisLaplaceFeatureDetector

fn as_raw_HarrisLaplaceFeatureDetector(&self) -> *mut c_void

impl Send for PtrOfHarrisLaplaceFeatureDetector