(boxes, probs, threshold)
return keep
Non-Maximum supression.
  Args:
    boxes: array of [cx, cy, w, h] (center format)
    probs: array of probabilities
    threshold: two boxes are considered overlapping if their IOU is largher than
        this threshold
    form: 'center' or 'diagonal'
  Returns:
    keep: array of True or False.
Non-Maximum supression.
  Args:
    boxes: array of [cx, cy, w, h] (center format)
    probs: array of probabilities
    threshold: two boxes are considered overlapping if their IOU is largher than
        this threshold
    form: 'center' or 'diagonal'
  Returns:
    keep: array of True or False.
Non - Maximum supression . Args : boxes : array of [ cx cy w h ] ( center format ) probs : array of probabilities threshold : two boxes are considered overlapping if their IOU is largher than this threshold form : center or diagonal Returns : keep : array of True or False .
def nms(boxes, probs, threshold):
  """Non-Maximum supression.
  Args:
    boxes: array of [cx, cy, w, h] (center format)
    probs: array of probabilities
    threshold: two boxes are considered overlapping if their IOU is largher than
        this threshold
    form: 'center' or 'diagonal'
  Returns:
    keep: array of True or False.
  """

  order = probs.argsort()[::-1]
  keep = [True]*len(order)

  for i in range(len(order)-1):
    ovps = batch_iou(boxes[order[i+1:]], boxes[order[i]])
    for j, ov in enumerate(ovps):
      if ov > threshold:
        keep[order[j+i+1]] = False
  return keep
def nms ( boxes , probs , threshold ) : order = probs . argsort ( ) [ : : - 1 ] keep = [ True ] * len ( order ) for i in range ( len ( order ) - 1 ) : ovps = batch_iou ( boxes [ order [ i + 1 : ] ] , boxes [ order [ i ] ] ) for j , ov in enumerate ( ovps ) : if ov > threshold : keep [ order [ j + i + 1 ] ] = False return keep