Trait opencv::hub_prelude::EdgeBoxesConst[−][src]

pub trait EdgeBoxesConst: AlgorithmTraitConst {

Show 13 methods    fn as_raw_EdgeBoxes(&self) -> *const c_void;

    fn get_alpha(&self) -> Result<f32> { ... }

    fn get_beta(&self) -> Result<f32> { ... }

    fn get_eta(&self) -> Result<f32> { ... }

    fn get_min_score(&self) -> Result<f32> { ... }

    fn get_max_boxes(&self) -> Result<i32> { ... }

    fn get_edge_min_mag(&self) -> Result<f32> { ... }

    fn get_edge_merge_thr(&self) -> Result<f32> { ... }

    fn get_cluster_min_mag(&self) -> Result<f32> { ... }

    fn get_max_aspect_ratio(&self) -> Result<f32> { ... }

    fn get_min_box_area(&self) -> Result<f32> { ... }

    fn get_gamma(&self) -> Result<f32> { ... }

    fn get_kappa(&self) -> Result<f32> { ... }

}
Expand description

Class implementing EdgeBoxes algorithm from ZitnickECCV14edgeBoxes :

Required methods

Provided methods

Returns the step size of sliding window search.

Returns the nms threshold for object proposals.

Returns adaptation rate for nms threshold.

Returns the min score of boxes to detect.

Returns the max number of boxes to detect.

Returns the edge min magnitude.

Returns the edge merge threshold.

Returns the cluster min magnitude.

Returns the max aspect ratio of boxes.

Returns the minimum area of boxes.

Returns the affinity sensitivity.

Returns the scale sensitivity.

Implementors