tensorflow/models · error · FileExistsError

Augmented files already exist in the following class folders

Error message

Augmented files already exist in the following class folders:
{details}
Remove them before re-running, or run on a fresh classifier dataset.

What it means

A FileExistsError raised by build_non_geometric_augmentation before any new augmentation work starts. It fires when a pre-scan of the classifier dataset's class folders (via find_pre_existing_augmentations) finds files already produced by a previous run, so re-running would duplicate or mix outputs from different runs.

Solutions

1. Delete the existing augmented files from the listed class folders and re-run.
2. Run the pipeline on a fresh classifier dataset directory to keep outputs isolated.
3. Move the prior augmented outputs to a backup location if they must be preserved.

When it happens

Trigger: Thrown at official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/augment_train_split.py:408 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/b7e3ff2e244c29d4. Report an issue: GitHub.

Appendix: source

Thrown at official/projects/waste_identification_ml/data_generation/auto_labeler_pipeline/augment_train_split.py:408

      FileExistsError: If any class folder contains augmented files.
  """
  folders_with_augmentations = []
  for class_name, class_path in class_folders:
    existing_augmented_files = find_pre_existing_augmentations(class_path)
    if existing_augmented_files:
      sample = existing_augmented_files[:5]
      extra = len(existing_augmented_files) - len(sample)
      sample_text = ", ".join(sample)
      if extra > 0:
        sample_text += f", ... (+{extra} more)"
      folders_with_augmentations.append(
          f"  - {class_name}: {len(existing_augmented_files)} files "
          f"({sample_text})"
      )

  if folders_with_augmentations:
    details = "\n".join(folders_with_augmentations)
    raise FileExistsError(
        "Augmented files already exist in the following class folders:\n"
        f"{details}\n"
        "Remove them before re-running, or run on a fresh classifier dataset."
    )


# ── Per-folder pipeline ──────────────────────────────────────────────────────


def process_class_folder(
    class_name: str,
    class_folder: str,
    augmentations_to_apply: tuple[str, ...],
    rotation_fill_color: tuple[int, int, int],
) -> None:
  """Applies augmentations to all images in a class folder.

  Args:

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