NOPPerturber

class nrtk.impls.perturb_image.generic.nop_perturber.NOPPerturber

Example implementation of the PerturbImage interface.

An instance of this class acts as a functor to generate a perturbed image for the given input image stimulus.

This class, in particular, serves as pass-through “no operation” (NOP) perturber.

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 PerturbImage 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	Check whether this class is available for use.
perturb	Returns unperturbed image and input bounding boxes.

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]

Returns unperturbed image and input bounding boxes.

Args:

image:

Input image as a numpy array of shape (H, W, C).

boxes:

List of bounding boxes in AxisAlignedBoundingBox format and their corresponding classes.

additional_params:

Additional parameters for perturbation.

Returns:

return tuple[np.ndarray, Iterable[tuple[AxisAlignedBoundingBox, dict[Hashable, float]]] | None]:

Returns the source image and bounding boxes.