code: def load_multi_output_model(self):
      os.makedirs(local_path, exist_ok=True)
      model_url = data_url + "/analytics-zoo-data/ov_multi_output.tar"
      model_path = maybe_download(
          "ov_multi_output.tar", local_path, model_url
      )
      tar = tarfile.open(model_path)
      tar.extractall(path=local_path)
      tar.close()
      model_path = os.path.join(local_path, "FP32/model_float32.xml")
      self.est = Estimator.from_openvino(model_path=model_path)
  
imports: import os
  import tarfile
  import tempfile
  import shutil
  from unittest import TestCase
  import numpy
  from bigdl.dllib.feature.dataset.base import maybe_download
  from bigdl.dllib.nncontext import init_nncontext
  from bigdl.orca.data import SparkXShards
  from bigdl.orca.learn.openvino import Estimator
label_desc: Use image node_id 6 for calling the TestEstimatorForOpenVINO obj's underlying member method code with example usage: obj.load_multi_output_model() without return types