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preprocessing.preprocessing

logger_config​

logger​

preprocessing​

@save_state(model=PreprocessingFunctionSchema)
def preprocessing(config: dict,
                  centered_reference_keypoint: str,
                  orientation_reference_keypoint: str,
                  run_lowconf_cleaning: bool = True,
                  run_egocentric_alignment: bool = True,
                  run_outlier_cleaning: bool = True,
                  run_savgol_filtering: bool = True,
                  run_rescaling: bool = False,
                  save_logs: bool = True) -> None

Preprocess the data by:

  • Cleaning low confidence data points
  • Egocentric alignment
  • Outlier cleaning using IQR
  • Rescaling
  • Savitzky-Golay filtering

Parameters

  • config (dict): Configuration dictionary.
  • centered_reference_keypoint (str, optional): Keypoint to use as centered reference.
  • orientation_reference_keypoint (str, optional): Keypoint to use as orientation reference.
  • run_lowconf_cleaning (bool, optional): Whether to run low confidence cleaning.
  • run_egocentric_alignment (bool, optional): Whether to run egocentric alignment.
  • run_outlier_cleaning (bool, optional): Whether to run outlier cleaning.
  • run_savgol_filtering (bool, optional): Whether to run Savitzky-Golay filtering.
  • run_rescaling (bool, optional): Whether to run rescaling.
  • save_logs (bool, optional): Whether to save logs.

Returns

  • None