Type Definition opencv::types::PtrOfEdgeBoxes

pub type PtrOfEdgeBoxes = Ptr<dyn EdgeBoxes>;

Implementations

impl PtrOfEdgeBoxes

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

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

Trait Implementations

impl AlgorithmTrait for PtrOfEdgeBoxes

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 PtrOfEdgeBoxes

fn as_raw_Algorithm(&self) -> *const c_void

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

Stores algorithm parameters in a file storage

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

simplified API for language bindings Stores algorithm parameters in 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 EdgeBoxes for PtrOfEdgeBoxes

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

fn get_bounding_boxes(
    &mut self,
    edge_map: &dyn ToInputArray,
    orientation_map: &dyn ToInputArray,
    boxes: &mut Vector<Rect>,
    scores: &mut dyn ToOutputArray
) -> Result<()>

Returns array containing proposal boxes.

fn set_alpha(&mut self, value: f32) -> Result<()>

Sets the step size of sliding window search.

fn set_beta(&mut self, value: f32) -> Result<()>

Sets the nms threshold for object proposals.

fn set_eta(&mut self, value: f32) -> Result<()>

Sets the adaptation rate for nms threshold.

fn set_min_score(&mut self, value: f32) -> Result<()>

Sets the min score of boxes to detect.

fn set_max_boxes(&mut self, value: i32) -> Result<()>

Sets max number of boxes to detect.

fn set_edge_min_mag(&mut self, value: f32) -> Result<()>

Sets the edge min magnitude.

fn set_edge_merge_thr(&mut self, value: f32) -> Result<()>

Sets the edge merge threshold.

fn set_cluster_min_mag(&mut self, value: f32) -> Result<()>

Sets the cluster min magnitude.

fn set_max_aspect_ratio(&mut self, value: f32) -> Result<()>

Sets the max aspect ratio of boxes.

fn set_min_box_area(&mut self, value: f32) -> Result<()>

Sets the minimum area of boxes.

fn set_gamma(&mut self, value: f32) -> Result<()>

Sets the affinity sensitivity

fn set_kappa(&mut self, value: f32) -> Result<()>

Sets the scale sensitivity.

impl EdgeBoxesConst for PtrOfEdgeBoxes

fn as_raw_EdgeBoxes(&self) -> *const c_void

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

Returns the step size of sliding window search.

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

Returns the nms threshold for object proposals.

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

Returns adaptation rate for nms threshold.

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

Returns the min score of boxes to detect.

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

Returns the max number of boxes to detect.

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

Returns the edge min magnitude.

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

Returns the edge merge threshold.

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

Returns the cluster min magnitude.

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

Returns the max aspect ratio of boxes.

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

Returns the minimum area of boxes.

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

Returns the affinity sensitivity.

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

Returns the scale sensitivity.