Method
__init__
(
self,
prob: float = 0.1,
mean: float = 0.0,
std: float = 0.1,
dtype: DtypeLike = np.float32,
sample_std: bool = True,
)
Source from the content-addressed store, hash-verified
| 99 | backend = [TransformBackends.TORCH, TransformBackends.NUMPY] |
| 100 | |
| 101 | def __init__( |
| 102 | self, |
| 103 | prob: float = 0.1, |
| 104 | mean: float = 0.0, |
| 105 | std: float = 0.1, |
| 106 | dtype: DtypeLike = np.float32, |
| 107 | sample_std: bool = True, |
| 108 | ) -> None: |
| 109 | RandomizableTransform.__init__(self, prob) |
| 110 | self.mean = mean |
| 111 | self.std = std |
| 112 | self.dtype = dtype |
| 113 | self.noise: np.ndarray | None = None |
| 114 | self.sample_std = sample_std |
| 115 | |
| 116 | def randomize(self, img: NdarrayOrTensor, mean: float | None = None) -> None: |
| 117 | super().randomize(None) |
Callers
nothing calls this directly
Tested by
no test coverage detected