Select strongest multiclass bounding boxes from overlapping clusters
returns selected bounding boxes that have high confidence scores. The function uses
greedy nonmaximal suppression (NMS) to eliminate overlapping bounding boxes from the
selectedBboxes
= selectStrongestBboxMulticlass(bboxes
,scores
,labels
)bboxes
input, only if they have the same class
label.
[
additionally returns the scores, labels, and index associated with the selected
bounding boxes.selectedBboxes
,selectedScores
,selectedLabels
,index
]
= selectStrongestBboxMulticlass(bboxes
,scores
,labels
)
[___]
= selectStrongestBboxMulticlass(___,
uses additional options specified by one or more Name,Value
)Name,Value
pair arguments.