Pad

class deeptrack.augmentations.Pad(px: int | Callable[[...], int] = (0, 0, 0, 0), mode: str | Callable[[...], str] = 'constant', cval: float | Callable[[...], float] = 0, **kwargs)

Bases: Augmentation

Pads the image.

Arguments match this of numpy.pad, save for pad_width, which is called px, and is defined as (left, right, up, down, before_axis_3, after_axis_3, …)

Parameters

pxint or list of int

amount to pad in each direction

Methods Summary

get(image, px, **kwargs)

Transform an image [abstract method].

Methods Documentation

get(image, px, **kwargs)

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‘Image’ or List[‘Image’]

The Image or list of images to transform.

**kwargsDict[str, Any]

The current value of all properties in properties as well as any global arguments.

Returns

‘Image’ or List[‘Image’]

The transformed image or list of images.

Raises

NotImplementedError

Must be overridden by subclasses.