class_docstr: Base class for segmentation networks.
  
  Args:
      opts: Command-line arguments
      encoder: Image classification network
docstr: This function updates the classification layer in a model. Useful for finetuning purposes.
docstr_tok: ["This","function","updates","the","classification","layer","in","a","model",".","Useful","for","finetuning","purposes","."]
code: def update_classifier(self, opts, n_classes: int) -> None:
      """This function updates the classification layer in a model. Useful for finetuning purposes."""
      raise NotImplementedError
  
file_path: ml-cvnets/cvnets/models/segmentation/base_seg.py
imports: import argparse
  from typing import Any, Dict
  import torch
  from cvnets.models import MODEL_REGISTRY, BaseAnyNNModel
  from cvnets.models.classification.base_image_encoder import BaseImageEncoder
label_desc: Use image node_id 6 for calling the BaseSegmentation obj's underlying member method code with example usage: obj.update_classifier(opts, n_classes) without return types