Bases: TransformModel
Pydantic model used to represent XYFlip transformation.
Attributes:
Name | Type | Description |
name | Literal['XYFlip'] | Name of the transformation. |
p | float | Probability of applying the transform, by default 0.5. |
seed | Optional[int] | Seed for the random number generator, by default None. |
Source code in src/careamics/config/transformations/xy_flip_model.py
| class XYFlipModel(TransformModel):
"""
Pydantic model used to represent XYFlip transformation.
Attributes
----------
name : Literal["XYFlip"]
Name of the transformation.
p : float
Probability of applying the transform, by default 0.5.
seed : Optional[int]
Seed for the random number generator, by default None.
"""
model_config = ConfigDict(
validate_assignment=True,
)
name: Literal["XYFlip"] = "XYFlip"
flip_x: bool = Field(
True,
description="Whether to flip along the X axis.",
)
flip_y: bool = Field(
True,
description="Whether to flip along the Y axis.",
)
p: float = Field(
0.5,
description="Probability of applying the transform.",
ge=0,
le=1,
)
seed: Optional[int] = None
|