tensorflow/models · error · ValueError

Bucket path must be non-empty starting with 'gs://'

Error message

Bucket path must be non-empty starting with 'gs://'

What it means

Error "Bucket path must be non-empty starting with 'gs://'" thrown in tensorflow/models.

Source

Thrown at official/projects/waste_identification_ml/Deploy/detr_cloud_deployment/client/inference_pipeline.py:101

_IMAGE_SAVING_WIDTH = 432
_IMAGE_SAVING_HEIGHT = 432
_TRACKING_IMAGE_WIDTH = 300
_TRACKING_IMAGE_HEIGHT = 300
# https://soft-matter.github.io/trackpy/dev/tutorial/adaptive-search.html
_ADAPTIVE_STOP = 5
_ADAPTIVE_STEP = 0.95


def main(_) -> None:
  # Check if the input and output directories are valid.
  if (
      not INPUT_DIRECTORY.value
      or not OUTPUT_DIRECTORY.value
      or not INPUT_DIRECTORY.value.startswith("gs://")
      or not OUTPUT_DIRECTORY.value.startswith("gs://")
  ):
    raise ValueError("Bucket path must be non-empty starting with 'gs://'")

  input_directory, prediction_folder, logger = (
      utils.setup_logger_and_directories(input_dir=INPUT_DIRECTORY.value)
  )
  filepaths_to_capture_time_dict = {
      filepath: utils.get_image_capture_time(filepath)
      for filepath in utils.files_paths(os.path.basename(input_directory))
  }

  model_manager = TritonObjectDetector(model_name=MODEL_NAME.value)

  tracking_manager = ObjectTracker(
      search_range=(SEARCH_RANGE_Y.value, SEARCH_RANGE_X.value),
      memory=MEMORY.value,
      adaptive_stop=_ADAPTIVE_STOP,
      adaptive_step=_ADAPTIVE_STEP,
  )

View on GitHub (pinned to e006f5f0d5)

When it happens

Trigger: Thrown at official/projects/waste_identification_ml/Deploy/detr_cloud_deployment/client/inference_pipeline.py:101 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/325063a6baa9839b. Report an issue: GitHub.