class_docstr: Dataset class for the COCO dataset that maps classes to PASCAL VOC classes
  
  Args:
      opts: command-line arguments
class_docstr_tok: ["Dataset","class","for","the","COCO","dataset","that","maps","classes","to","PASCAL","VOC","classes","Args",":","opts",":","command-line","arguments"]
docstr: COCO to PASCAL VOC class mapping
docstr_tok: ["COCO","to","PASCAL","VOC","class","mapping"]
code: def coco_to_pascal_mapping() -> List[int]:
      """COCO to PASCAL VOC class mapping"""
      return [
          0,
          5,
          2,
          16,
          9,
          44,
          6,
          3,
          17,
          62,
          21,
          67,
          18,
          19,
          4,
          1,
          64,
          20,
          63,
          7,
          72,
      ]
  
file_path: ml-cvnets/data/datasets/segmentation/coco_segmentation.py
imports: import argparse
  import os
  from typing import List, Mapping, Optional, Tuple, Union
  import numpy
  from pycocotools import mask
  from pycocotools.coco import COCO
  from torch import Tensor
  from data.datasets import DATASET_REGISTRY
  from data.datasets.segmentation.base_segmentation import BaseImageSegmentationDataset
label_desc: Use image node_id 6 for calling the COCOSegmentationDataset obj's underlying member method code with example usage: obj.coco_to_pascal_mapping() and returns: list