Struct opencv::ximgproc::EdgeBoxes

pub struct EdgeBoxes { /* private fields */ }

Class implementing EdgeBoxes algorithm from ZitnickECCV14edgeBoxes :

Trait Implementations

impl AlgorithmTrait for EdgeBoxes

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 EdgeBoxes

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 write_with_name_def(&self, fs: &Ptr<FileStorage>) -> Result<()>

👎Deprecated:

Note

Deprecated: ## Note This alternative version of AlgorithmTraitConst::write_with_name function uses the following default values for its arguments:

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 EdgeBoxes

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 EdgeBoxes

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

Formats the value using the given formatter.

impl Drop for EdgeBoxes

fn drop(&mut self)

Executes the destructor for this type.

impl EdgeBoxesTrait for EdgeBoxes

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

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

Returns array containing proposal boxes.

fn get_bounding_boxes_def( &mut self, edge_map: &impl ToInputArray, orientation_map: &impl ToInputArray, boxes: &mut Vector<Rect> ) -> 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 EdgeBoxesTraitConst for EdgeBoxes

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.

impl From<EdgeBoxes> for Algorithm

fn from(s: EdgeBoxes) -> Self

Converts to this type from the input type.

impl Send for EdgeBoxes