| 290 | self._shifter = ShiftIntensity(self._offset, safe) |
| 291 | |
| 292 | def randomize(self, data: Any | None = None) -> None: |
| 293 | super().randomize(None) |
| 294 | if not self._do_transform: |
| 295 | return None |
| 296 | if self.channel_wise: |
| 297 | self._offset = [self.R.uniform(low=self.offsets[0], high=self.offsets[1]) for _ in range(data.shape[0])] # type: ignore |
| 298 | else: |
| 299 | self._offset = self.R.uniform(low=self.offsets[0], high=self.offsets[1]) |
| 300 | |
| 301 | def __call__(self, img: NdarrayOrTensor, factor: float | None = None, randomize: bool = True) -> NdarrayOrTensor: |
| 302 | """ |