Method __init__

monai/transforms/utility/dictionary.py:266–281

Args: keys: keys of the corresponding items to be transformed. See also: :py:class:`monai.transforms.compose.MapTransform` strict_check: whether to raise an error when the meta information is insufficient. allow_missing_keys: don't raise e

(
        self, keys: KeysCollection, strict_check: bool = True, allow_missing_keys: bool = False, channel_dim=None
    )

    backend = EnsureChannelFirst.backend

    def __init__(
        self, keys: KeysCollection, strict_check: bool = True, allow_missing_keys: bool = False, channel_dim=None
    ) -> None:
        """
        Args:
            keys: keys of the corresponding items to be transformed.
                See also: :py:class:`monai.transforms.compose.MapTransform`
            strict_check: whether to raise an error when the meta information is insufficient.
            allow_missing_keys: don't raise exception if key is missing.
            channel_dim: This argument can be used to specify the original channel dimension (integer) of the input array.
                It overrides the `original_channel_dim` from provided MetaTensor input.
                If the input array doesn't have a channel dim, this value should be ``'no_channel'``.
                If this is set to `None`, this class relies on `img` or `meta_dict` to provide the channel dimension.
        """
        super().__init__(keys, allow_missing_keys)
        self.adjuster = EnsureChannelFirst(strict_check=strict_check, channel_dim=channel_dim)

    def __call__(self, data: Mapping[Hashable, torch.Tensor]) -> dict[Hashable, torch.Tensor]:
        d = dict(data)