Trait opencv::hub_prelude::EdgeBoxes

source · [−]
pub trait EdgeBoxes: AlgorithmTrait + EdgeBoxesConst {

Show 14 methods    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<()> { ... }
    fn set_alpha(&mut self, value: f32) -> Result<()> { ... }
    fn set_beta(&mut self, value: f32) -> Result<()> { ... }
    fn set_eta(&mut self, value: f32) -> Result<()> { ... }
    fn set_min_score(&mut self, value: f32) -> Result<()> { ... }
    fn set_max_boxes(&mut self, value: i32) -> Result<()> { ... }
    fn set_edge_min_mag(&mut self, value: f32) -> Result<()> { ... }
    fn set_edge_merge_thr(&mut self, value: f32) -> Result<()> { ... }
    fn set_cluster_min_mag(&mut self, value: f32) -> Result<()> { ... }
    fn set_max_aspect_ratio(&mut self, value: f32) -> Result<()> { ... }
    fn set_min_box_area(&mut self, value: f32) -> Result<()> { ... }
    fn set_gamma(&mut self, value: f32) -> Result<()> { ... }
    fn set_kappa(&mut self, value: f32) -> Result<()> { ... }

}

Required Methods

Provided Methods

Returns array containing proposal boxes.

Parameters
  • edge_map: edge image.
  • orientation_map: orientation map.
  • boxes: proposal boxes.
  • scores: of the proposal boxes, provided a vector of float types.
C++ default parameters
  • scores: noArray()

Sets the step size of sliding window search.

Sets the nms threshold for object proposals.

Sets the adaptation rate for nms threshold.

Sets the min score of boxes to detect.

Sets max number of boxes to detect.

Sets the edge min magnitude.

Sets the edge merge threshold.

Sets the cluster min magnitude.

Sets the max aspect ratio of boxes.

Sets the minimum area of boxes.

Sets the affinity sensitivity

Sets the scale sensitivity.

Implementors