code: def __init__(self):
      self.name = "resnet-50"
      self.input_is_BGR = False
  
      self.coreml_data_layer = "data"
      self.coreml_feature_layer = "flatten0"
  
      self.source_md5 = {
          "coreml": "8503ef18f368b65ebaaa07ba5689b5f8",
          "tensorflow": "ac73d2cc03700035c6cd756742bd59d6",
      }
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import os
  import sys
  import requests
  import turicreate
  import hashlib
  from six.moves.urllib import parse
label_desc: Use image node_id 1 to create a new ResNetImageClassifier object from inherited base classes: ImageClassifierPreTrainedModel with example: obj = ResNetImageClassifier()