(self, img_size: Sequence[int])
| 676 | self.max_roi_size = None |
| 677 | |
| 678 | def randomize(self, img_size: Sequence[int]) -> None: |
| 679 | self.get_max_roi_size(img_size) |
| 680 | super().randomize(img_size) |
| 681 | |
| 682 | def __call__(self, img: torch.Tensor, randomize: bool = True, lazy: bool | None = None) -> torch.Tensor: # type: ignore |
| 683 | """ |
nothing calls this directly
no test coverage detected