Method __init__

monai/transforms/croppad/array.py:454–478

Args: roi_center: voxel coordinates for center of the crop ROI. roi_size: size of the crop ROI, if a dimension of ROI size is larger than image size, will not crop that dimension of the image. roi_start: voxel coordinates for start of the

(
        self,
        roi_center: Sequence[int] | int | NdarrayOrTensor | None = None,
        roi_size: Sequence[int] | int | NdarrayOrTensor | None = None,
        roi_start: Sequence[int] | int | NdarrayOrTensor | None = None,
        roi_end: Sequence[int] | int | NdarrayOrTensor | None = None,
        roi_slices: Sequence[slice] | None = None,
        lazy: bool = False,
    )

    """

    def __init__(
        self,
        roi_center: Sequence[int] | int | NdarrayOrTensor | None = None,
        roi_size: Sequence[int] | int | NdarrayOrTensor | None = None,
        roi_start: Sequence[int] | int | NdarrayOrTensor | None = None,
        roi_end: Sequence[int] | int | NdarrayOrTensor | None = None,
        roi_slices: Sequence[slice] | None = None,
        lazy: bool = False,
    ) -> None:
        """
        Args:
            roi_center: voxel coordinates for center of the crop ROI.
            roi_size: size of the crop ROI, if a dimension of ROI size is larger than image size,
                will not crop that dimension of the image.
            roi_start: voxel coordinates for start of the crop ROI.
            roi_end: voxel coordinates for end of the crop ROI, if a coordinate is out of image,
                use the end coordinate of image.
            roi_slices: list of slices for each of the spatial dimensions.
            lazy: a flag to indicate whether this transform should execute lazily or not. Defaults to False.

        """
        super().__init__(lazy)
        self.slices = self.compute_slices(
            roi_center=roi_center, roi_size=roi_size, roi_start=roi_start, roi_end=roi_end, roi_slices=roi_slices
        )

    def __call__(self, img: torch.Tensor, lazy: bool | None = None) -> torch.Tensor:  # type: ignore[override]
        """