GaussianNoisePerturber

class nrtk.impls.perturb_image.generic.skimage.random_noise.GaussianNoisePerturber(rng: Generator | int | None = None, mean: float = 0.0, var: float = 0.05)

Adds Gaussian-distributed additive noise to image stimulus.

Methods

`from_config`	Instantiate a new instance of this class given the configuration JSON-compliant dictionary encapsulating initialization arguments.
`get_config`	Returns the current configuration of the _GSNoisePerturber instance.
`get_default_config`	Generate and return a default configuration dictionary for this class.
`get_impls`	Discover and return a set of classes that implement the calling class.
`get_type_string`	Returns the fully qualified type string of the PerturbImage class or its subclass.
`is_usable`	Checks if the required skimage module is available.
`perturb`	Return image stimulus with Gaussian noise.

perturb(image: ndarray[Any, Any], boxes: Iterable[tuple[AxisAlignedBoundingBox, dict[Hashable, float]]] | None = None, **additional_params: Any) → tuple[ndarray[Any, Any], Iterable[tuple[AxisAlignedBoundingBox, dict[Hashable, float]]] | None]: Return image stimulus with Gaussian noise.