code: def setup(self):
      self.model = models.resnet50(
          weights="IMAGENET1K_V2", progress=False
      )
      for param in self.model.parameters():
          param.requires_grad = False
      self.model.fc = torch.nn.Identity()
      self.model.eval()
  
file_path: evadb/evadb/functions/feature_extractor.py
imports: from typing import List
  import pandas
  import torch
  from torch import Tensor
  from torchvision import models
  from evadb.functions.abstract.pytorch_abstract_function import PytorchAbstractClassifierFunction
label_desc: Use image node_id 1 for calling the FeatureExtractor obj's underlying member method code with example usage: obj.setup() without return types