(self, data: Any | None = None)
| 712 | self.dtype = dtype |
| 713 | |
| 714 | def randomize(self, data: Any | None = None) -> None: |
| 715 | super().randomize(None) |
| 716 | if not self._do_transform: |
| 717 | return None |
| 718 | if self.channel_wise: |
| 719 | self.factor = [self.R.uniform(low=self.factors[0], high=self.factors[1]) for _ in range(data.shape[0])] # type: ignore |
| 720 | else: |
| 721 | self.factor = self.R.uniform(low=self.factors[0], high=self.factors[1]) |
| 722 | |
| 723 | def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor: |
| 724 | """ |