class_docstr: Prepare ground-truth labels for the model specified by "prefix".
  For multiple models, we need to create a LabelProcessor for each model so that
  each model will have independent labels.
docstr: Parameters
  ----------
  model
      The model for which this processor would be created.
code: def __init__(
      self,
      model: nn.Module,
  ):
      """
      Parameters
      ----------
      model
          The model for which this processor would be created.
      """
      self.prefix = model.prefix
  
file_path: autogluon/multimodal/src/autogluon/multimodal/data/process_label.py
imports: from typing import Any, Dict, List, Optional, Union
  from torch import nn
  from ..constants import LABEL, MMDET_IMAGE
  from .collator import ListCollator, StackCollator
label_desc: Use image node_id 1 to create a new LabelProcessor object  with example: obj = LabelProcessor(model)