code: def predict(self, imgs):
      bboxes, labels, scores = super(
          InvalidLabelSizeLink, self
      ).predict(imgs)
      return bboxes, [label[1:] for label in labels], scores
  
imports: import numpy
  import unittest
  import chainer
  from chainercv.utils import assert_is_detection_link
  from chainercv.utils import generate_random_bbox
  from chainercv.utils import testing
label_desc: Use image node_id 1 for calling the InvalidLabelSizeLink obj's underlying member method code with example usage: obj.predict(imgs) and returns: bboxes,  unknown,  scores