MedianBlurPerturber

class nrtk.impls.perturb_image.generic.cv2.blur.MedianBlurPerturber(ksize: int = 3)

Applies median blurring to the 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 MedianBlurPerturber 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 cv2 module is available.
perturb	Return image stimulus after applying Gaussian blurring.

__init__(ksize: int = 3) → None

Parameters:

ksize – Blurring kernel size.

perturb(image: ndarray[Any, Any], boxes: Iterable[tuple[AxisAlignedBoundingBox, dict[Hashable, float]]] | None = None, additional_params: dict[str, Any] | None = None) → tuple[ndarray[Any, Any], Iterable[tuple[AxisAlignedBoundingBox, dict[Hashable, float]]] | None]

Return image stimulus after applying Gaussian blurring.