stages.video.caption.caption_preparation
#
Module Contents#
Classes#
Stage that prepares captions for video processing. |
API#
- class stages.video.caption.caption_preparation.CaptionPreparationStage#
Bases:
nemo_curator.stages.base.ProcessingStage
[nemo_curator.tasks.video.VideoTask
,nemo_curator.tasks.video.VideoTask
]Stage that prepares captions for video processing.
- generate_previews: bool#
True
- inputs() tuple[list[str], list[str]] #
Define stage input requirements.
Returns (tuple[list[str], list[str]]): Tuple of (required_attributes, required_columns) where: - required_top_level_attributes: List of task attributes that must be present - required_data_attributes: List of attributes within the data that must be present
- model_does_preprocess: bool#
False
- model_variant: str#
‘qwen’
- outputs() tuple[list[str], list[str]] #
Define stage output specification.
Returns (tuple[list[str], list[str]]): Tuple of (output_attributes, output_columns) where: - output_top_level_attributes: List of task attributes this stage adds/modifies - output_data_attributes: List of attributes within the data that this stage adds/modifies
- preprocess_dtype: str#
‘float32’
- process(
- task: nemo_curator.tasks.video.VideoTask,
Process a task and return the result. Args: task (X): Input task to process Returns (Y | list[Y]): - Single task: For 1-to-1 transformations - List of tasks: For 1-to-many transformations (e.g., readers) - None: If the task should be filtered out
- prompt_text: str | None#
None
- prompt_variant: str#
‘default’
- remainder_threshold: int#
128
- sampling_fps: float#
2.0
- setup(
- worker_metadata: nemo_curator.backends.base.WorkerMetadata | None = None,
Setup method called once before processing begins. Override this method to perform any initialization that should happen once per worker. Args: worker_metadata (WorkerMetadata, optional): Information about the worker (provided by some backends)
- verbose: bool#
False
- window_size: int#
256