Apply the transform to `img`.
(self, img: NdarrayOrTensor, randomize: bool = True)
| 1304 | self.gamma_value = self.R.uniform(low=self.gamma[0], high=self.gamma[1]) |
| 1305 | |
| 1306 | def __call__(self, img: NdarrayOrTensor, randomize: bool = True) -> NdarrayOrTensor: |
| 1307 | """ |
| 1308 | Apply the transform to `img`. |
| 1309 | """ |
| 1310 | img = convert_to_tensor(img, track_meta=get_track_meta()) |
| 1311 | if randomize: |
| 1312 | self.randomize() |
| 1313 | |
| 1314 | if not self._do_transform: |
| 1315 | return img |
| 1316 | |
| 1317 | if self.gamma_value is None: |
| 1318 | raise RuntimeError("gamma_value is not set, please call `randomize` function first.") |
| 1319 | |
| 1320 | return self.adjust_contrast(img, self.gamma_value) |
| 1321 | |
| 1322 | |
| 1323 | class ScaleIntensityRangePercentiles(Transform): |
nothing calls this directly
no test coverage detected