def create_category_index(categories):
  """Creates dictionary of COCO compatible categories keyed by category id.

  Args:
    categories: a list of dicts, each of which has the following keys:
      'id': (required) an integer id uniquely identifying this category.
      'name': (required) string representing category name
        e.g., 'cat', 'dog', 'pizza'.

  Returns:
    category_index: a dict containing the same entries as categories, but keyed
      by the 'id' field of each category.
  """
  category_index = {}
  for cat in categories:
    category_index[cat['id']] = cat
  return category_index
Creates dictionary of COCO compatible categories keyed by category id.

  Args:
    categories: a list of dicts, each of which has the following keys:
      'id': (required) an integer id uniquely identifying this category.
      'name': (required) string representing category name
        e.g., 'cat', 'dog', 'pizza'.

  Returns:
    category_index: a dict containing the same entries as categories, but keyed
      by the 'id' field of each category.
  
inference_api/src/main/object_detection/utils/label_map_util.py