Trait opencv::hub_prelude::DetectionModelTrait

pub trait DetectionModelTrait: DetectionModelTraitConst + ModelTrait {
    fn as_raw_mut_DetectionModel(&mut self) -> *mut c_void;

    fn set_nms_across_classes(&mut self, value: bool) -> Result<DetectionModel> { ... }
    fn get_nms_across_classes(&mut self) -> Result<bool> { ... }
    fn detect(
        &mut self, 
        frame: &dyn ToInputArray, 
        class_ids: &mut Vector<i32>, 
        confidences: &mut Vector<f32>, 
        boxes: &mut Vector<Rect>, 
        conf_threshold: f32, 
        nms_threshold: f32
    ) -> Result<()> { ... }
}

Required methods

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

Provided methods

fn set_nms_across_classes(&mut self, value: bool) -> Result<DetectionModel>

nmsAcrossClasses defaults to false, such that when non max suppression is used during the detect() function, it will do so per-class. This function allows you to toggle this behaviour.

Parameters

• value: The new value for nmsAcrossClasses

fn get_nms_across_classes(&mut self) -> Result<bool>

Getter for nmsAcrossClasses. This variable defaults to false, such that when non max suppression is used during the detect() function, it will do so only per-class

fn detect(
    &mut self,
    frame: &dyn ToInputArray,
    class_ids: &mut Vector<i32>,
    confidences: &mut Vector<f32>,
    boxes: &mut Vector<Rect>,
    conf_threshold: f32,
    nms_threshold: f32
) -> Result<()>

Given the @p input frame, create input blob, run net and return result detections.

Parameters

• frame: The input image.
• classIds:[out] Class indexes in result detection.
• confidences:[out] A set of corresponding confidences.
• boxes:[out] A set of bounding boxes.
• confThreshold: A threshold used to filter boxes by confidences.
• nmsThreshold: A threshold used in non maximum suppression.

C++ default parameters

• conf_threshold: 0.5f
• nms_threshold: 0.0f

Implementors

impl DetectionModelTrait for DetectionModel