Function opencv::dnn::nms_boxes

pub fn nms_boxes(
    bboxes: &Vector<Rect>, 
    scores: &Vector<f32>, 
    score_threshold: f32, 
    nms_threshold: f32, 
    indices: &mut Vector<i32>, 
    eta: f32, 
    top_k: i32
) -> Result<()>

Performs non maximum suppression given boxes and corresponding scores.

Parameters

• bboxes: a set of bounding boxes to apply NMS.
• scores: a set of corresponding confidences.
• score_threshold: a threshold used to filter boxes by score.
• nms_threshold: a threshold used in non maximum suppression.
• indices: the kept indices of bboxes after NMS.
• eta: a coefficient in adaptive threshold formula: .
• top_k: if >0, keep at most @p top_k picked indices.

C++ default parameters

• eta: 1.f
• top_k: 0