class_docstr: PyTorch object detection model operator, detect the region of interests in one image and predict the object classes
  in these regions.
class_docstr_tok: ["PyTorch","object","detection","model","operator",",","detect","the","region","of","interests","in","one","image","and","predict","the","object","classes","in","these","regions","."]
docstr: For training model
docstr_tok: ["For","training","model"]
code: def train(self):
      """
      For training model
      """
      pass
  
file_path: towhee/tests/unittests/mock_operators/pytorch_object_detection_operator/pytorch_object_detection_operator.py
imports: import numpy
  import torch
  import torchvision
  from typing import NamedTuple, List
  from pathlib import Path
  from towhee.operator import Operator
label_desc: Use image node_id 3 for calling the PyTorchObjectDetectionOperator obj's underlying member method code with example usage: obj.train() without return types