presets¶
registration_parameters¶
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ardent.presets.registration_parameters.
get_registration_presets
()[source]¶ Get the names of all registration presets.
Returns: The keys of the dictionary mapping all registration preset names to the corresponding registration parameters. Return type: dict_keys
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ardent.presets.registration_parameters.
get_registration_preset
(preset: str) → dict[source]¶ If <preset> is recognized, returns a dictionary containing the registration parameters corresponding to <preset>.
Parameters: preset (str) -- The name of a preset keyed to a particular dictionary of registration parameters. Raises: NotImplementedError
-- Raised if <preset> is not a recognized preset name.Returns: The registration kwargs specified by <preset>. Return type: dict
batch_preprocessing¶
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ardent.presets.batch_preprocessing.
basic_preprocessing
(data)[source]¶ Call each of the listed preprocessing functions on <data> and return the result. Preprocessing functions:
- cast_to_typed_array
- normalize_by_MAD
- center_to_mean
Parameters: data (np.ndarray, list) -- An array to be preprocessed, or a list of arrays to be preprocessed. Returns: The input array <data> after preprocessing, or each preprocessed array from the input list <data> if a list of arrays was provided. Return type: np.ndarray, list
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ardent.presets.batch_preprocessing.
basic_preprocessing_with_pad
(data)[source]¶ Call each of the listed preprocessing functions on <data> and return the result. Preprocessing functions:
- cast_to_typed_array
- pad
- normalize_by_MAD
- center_to_mean
Parameters: data (np.ndarray, list) -- An array to be preprocessed, or a list of arrays to be preprocessed. Returns: The input array <data> after preprocessing, or each preprocessed array from the input list <data> if a list of arrays was provided. Return type: np.ndarray, list