tensorflow/models · error · ValueError

Input directory not found at '{INPUT_DIR}'

Error message

Input directory not found at '{INPUT_DIR}'

What it means

Error "Input directory not found at '{INPUT_DIR}'" thrown in tensorflow/models.

Source

Thrown at official/projects/waste_identification_ml/llm_applications/milk_pouch_detection/src/extract_objects.py:111

    Filtered masks and boxes.
  """
  filtered = [
      (mask, box)
      for mask, box in zip(masks, boxes)
      if (np.sum(mask.astype(np.uint8)) / image_area) * 100 > min_percent
  ]

  if not filtered:
    return [], []

  valid_masks, valid_boxes = zip(*filtered)
  return list(valid_masks), list(valid_boxes)


def main(_) -> None:
  """Runs the main object detection and extraction pipeline."""
  if not os.path.isdir(INPUT_DIR):
    raise ValueError(f"Input directory not found at '{INPUT_DIR}'")

  # Check if COCO output should be created
  create_coco = FLAGS.category_name is not None

  print("Initializing image extraction and classification...")
  try:
    pipeline = detection_segmentation.ObjectDetectionSegmentation(
        dino_config_path=GROUNDING_DINO_CONFIG,
        dino_weights_path=GROUNDING_DINO_WEIGHTS,
        sam_config_path=SAM2_CONFIG,
        sam_checkpoint_path=SAM2_WEIGHTS,
    )
  except FileNotFoundError as e:
    print(
        f"\n⚠️ Error: Could not find model files: {e}. "
        "Please check the paths in the script."
    )
    return

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/waste_identification_ml/llm_applications/milk_pouch_detection/src/extract_objects.py:111 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/1dfa5bad0e1f0ef6. Report an issue: GitHub.