multibox_detection

multibox_detection(cls_prob=None, loc_pred=None, anchor=None, clip=_Null, threshold=_Null, background_id=_Null, nms_threshold=_Null, force_suppress=_Null, variances=_Null, nms_topk=_Null, out=None, name=None, **kwargs)

Convert multibox detection predictions.

Parameters:

cls_prob : ndarray

Class probabilities.

loc_pred : ndarray

Location regression predictions.

anchor : ndarray

Multibox prior anchor boxes

clip : boolean, optional, default=1

Clip out-of-boundary boxes.

threshold : float, optional, default=0.00999999978

Threshold to be a positive prediction.

background_id : int, optional, default=’0’

Background id.

nms_threshold : float, optional, default=0.5

Non-maximum suppression threshold.

force_suppress : boolean, optional, default=0

Suppress all detections regardless of class_id.

variances : tuple of <float>, optional, default=[0.1,0.1,0.2,0.2]

Variances to be decoded from box regression output.

nms_topk : int, optional, default=’-1’

Keep maximum top k detections before nms, -1 for no limit.

out : ndarray, optional

The output ndarray to hold the result.

Returns:

out : ndarray or list of ndarrays

The output of this function.