tensorflow/models · error · ConfigurationError

collapsed_categories.enable is true but 'mapping' is empty o

Error message

collapsed_categories.enable is true but 'mapping' is empty or missing.

What it means

Error "collapsed_categories.enable is true but 'mapping' is empty or missing." thrown in tensorflow/models.

Source

Thrown at official/projects/waste_identification_ml/model_inference_with_tracking/sam3_dinov3_tracking_pipeline/config_loader.py:274

      - Every class in the mapping must be present in `classes`.

  Args:
    raw_section: The raw `collapsed_categories` dict from YAML, or None if the
      section was omitted entirely.
    classes: The full list of class names from the config.

  Returns:
    A validated CollapsedCategoriesConfig instance.

  Raises:
    ConfigurationError: If validation fails.
  """
  if raw_section is None or not raw_section.get("enable", False):
    return CollapsedCategoriesConfig(enable=False, mapping={})

  raw_mapping = raw_section.get("mapping") or {}
  if not isinstance(raw_mapping, Mapping) or not raw_mapping:
    raise ConfigurationError(
        "collapsed_categories.enable is true but 'mapping' is empty or "
        "missing."
    )

  seen_classes: dict[str, str] = {}
  mapping_dict: dict[str, list[str]] = {}
  class_names = set(classes)
  for category_name, class_list in raw_mapping.items():
    if not isinstance(class_list, Sequence) or isinstance(class_list, str):
      raise ConfigurationError(
          f"Category '{category_name}' must map to a list of class names."
      )
    if not class_list:
      raise ConfigurationError(
          f"Category '{category_name}' must map to a non-empty list of class "
          "names."
      )
    mapping_dict[str(category_name)] = list(class_list)

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/waste_identification_ml/model_inference_with_tracking/sam3_dinov3_tracking_pipeline/config_loader.py:274 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of tensorflow/models@e006f5f0d5 (2026-08-24). Data as JSON: /api/errors/8e82ba7b940c3b9a. Report an issue: GitHub.