ElementwiseFeature

class deeptrack.elementwise.ElementwiseFeature(function: Callable[[np.ndarray], np.ndarray], feature: Feature | None = None, **kwargs: Any)

Bases: Feature

Base class for applying NumPy functions elementwise.

This class provides the foundation for subclasses that apply specific NumPy functions (e.g., sin, cos, exp) to the elements of an input array.

Parameters

functionCallable[[np.ndarray], np.ndarray]

The NumPy function to be applied elementwise.

featureFeature or None, optional

The input feature to which the function will be applied. If None, the function will be applied to the input array directly.

Methods

get(image: np.ndarray, **kwargs: Any) -> np.ndarray

Returns the result of applying the function to the input array.

Methods Summary

get(image, **kwargs)

Transform an image [abstract method].

Methods Documentation

get(image: ndarray, **kwargs: Any) → ndarray

Transform an image [abstract method].

Abstract method that defines how the feature transforms the input. The current value of all properties will be passed as keyword arguments.

Parameters

image: np.ndarray or list of np.ndarray or Image or list of Images

The image or list of images to transform.

**kwargs: dict of str to Any

The current value of all properties in properties, as well as any global arguments passed to the feature.

Returns

Image or list of Images

The transformed image or list of images.

Raises

NotImplementedError

Raised if this method is not overridden by subclasses.