class_docstr: Base class for segmentation heads
class_docstr_tok: ["Base","class","for","segmentation","heads"]
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/heads/base_seg_head.py
imports: import argparse
  from typing import Dict, Optional, Tuple
  from torch import Tensor, nn
  from cvnets.layers import ConvLayer2d, Dropout2d, UpSample
  from cvnets.misc.common import parameter_list
  from cvnets.misc.init_utils import initialize_weights
  from cvnets.models import MODEL_REGISTRY, BaseAnyNNModel
  from utils import logger
label_desc: Use image node_id 8 for calling the BaseSegHead obj's underlying member method code with example usage: obj.update_classifier(opts, n_classes) without return types