class_docstr: Arguments:
      threshold (float): Threshold for classifier confidence score
class_docstr_tok: ["Arguments",":","threshold","(","float",")",":","Threshold","for","classifier","confidence","score"]
code: def name(self) -> str:
      return "fastrcnn"
  
file_path: evadb/evadb/functions/fastrcnn_object_detector.py
imports: from typing import List
  import numpy
  import pandas
  from evadb.catalog.catalog_type import NdArrayType
  from evadb.functions.abstract.pytorch_abstract_function import PytorchAbstractClassifierFunction
  from evadb.functions.decorators.decorators import forward, setup
  from evadb.functions.decorators.io_descriptors.data_types import PandasDataframe, PyTorchTensor
  from evadb.utils.generic_utils import try_to_import_torch, try_to_import_torchvision
label_desc: Use image node_id 1 for calling the FastRCNNObjectDetector obj's underlying member method code with example usage: obj.name() and returns: str