| |
| |
| |
| |
| |
| |
| |
| |
| |
| |
| """ |
| A collection of dictionary-based wrappers around the signal operations defined in :py:class:`monai.transforms.signal.array`. |
| |
| Class names are ended with 'd' to denote dictionary-based transforms. |
| """ |
|
|
| from __future__ import annotations |
|
|
| from collections.abc import Hashable, Mapping |
|
|
| from monai.config.type_definitions import KeysCollection, NdarrayOrTensor |
| from monai.transforms.signal.array import SignalFillEmpty |
| from monai.transforms.transform import MapTransform |
|
|
| __all__ = ["SignalFillEmptyd", "SignalFillEmptyD", "SignalFillEmptyDict"] |
|
|
|
|
| class SignalFillEmptyd(MapTransform): |
| """ |
| Applies the SignalFillEmptyd transform on the input. All NaN values will be replaced with the |
| replacement value. |
| |
| Args: |
| keys: keys of the corresponding items to model output. |
| allow_missing_keys: don't raise exception if key is missing. |
| replacement: The value that the NaN entries shall be mapped to. |
| """ |
|
|
| backend = SignalFillEmpty.backend |
|
|
| def __init__(self, keys: KeysCollection = None, allow_missing_keys: bool = False, replacement=0.0): |
| super().__init__(keys, allow_missing_keys) |
| self.signal_fill_empty = SignalFillEmpty(replacement=replacement) |
|
|
| def __call__(self, data: Mapping[Hashable, NdarrayOrTensor]) -> Mapping[Hashable, NdarrayOrTensor]: |
| for key in self.key_iterator(data): |
| data[key] = self.signal_fill_empty(data[key]) |
|
|
| return data |
|
|
|
|
| SignalFillEmptyD = SignalFillEmptyDict = SignalFillEmptyd |
|
|