code: def evaluate(imgs):
      with redirect_stdout(io.StringIO()):
          imgs.evaluate()
      return imgs.params.imgIds, np.asarray(imgs.evalImgs).reshape(
          -1, len(imgs.params.areaRng), len(imgs.params.imgIds)
      )
  
imports: import copy
  import io
  from contextlib import redirect_stdout
  import numpy
  import pycocotools.mask
  import torch
  from pycocotools.coco import COCO
  from pycocotools.cocoeval import COCOeval
  from examples.tvdetection.utils import all_gather
label_desc: Use image node_id 4 for calling a global function with example usage: evaluate(imgs) and returns: imgs,  np