code: def predict(self, imgs):
      bboxes, labels, scores = super(
          InvalidPredictionSizeLink, self
      ).predict(imgs)
      return bboxes[1:], labels[1:], scores[1:]
  
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 InvalidPredictionSizeLink obj's underlying member method code with example usage: obj.predict(imgs) and returns: bboxes,  labels,  scores