pymovements.datasets.GazeOnFaces.__init__

GazeOnFaces.__init__(name: str = 'GazeOnFaces', mirrors: tuple[str, ...] = ('https://uncloud.univ-nantes.fr/index.php/s/',), resources: tuple[dict[str, str], ...] = ({'filename': 'gaze_csv.zip', 'md5': 'fe219f07c9253cd9aaee6bd50233c034', 'resource': '8KW6dEdyBJqxpmo/download?path=%2F&files=gaze_csv.zip'},), experiment: Experiment = <pymovements.gaze.experiment.Experiment object>, filename_format: str = 'gaze_sub{sub_id:d}_trial{trial_id:d}.csv', filename_format_dtypes: dict[str, type] = <factory>, custom_read_kwargs: dict[str, Any] = <factory>, column_map: dict[str, str] = <factory>, trial_columns: list[str] = <factory>, time_column: Any = None, time_unit: Any = None, pixel_columns: list[str] = <factory>, position_columns: list[str] | None = None, velocity_columns: list[str] | None = None, acceleration_columns: list[str] | None = None, distance_column: str | None = None) → None