(self, img_size: Sequence[int])
| 805 | raise NotImplementedError("only supports 2D or 3D fields") |
| 806 | |
| 807 | def randomize(self, img_size: Sequence[int]) -> None: |
| 808 | super().randomize(None) |
| 809 | if not self._do_transform: |
| 810 | return None |
| 811 | n_coeff = int(np.prod([(self.degree + k) / k for k in range(1, len(img_size) + 1)])) |
| 812 | self._coeff = self.R.uniform(*self.coeff_range, n_coeff).tolist() |
| 813 | |
| 814 | def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor: |
| 815 | """ |
no outgoing calls
no test coverage detected