Resize

class deeptrack.math.Resize(dsize: tuple | Callable[[...], tuple] = (256, 256), **kwargs)

Bases: Feature

Resize an image to a specified size.

This is a wrapper around cv2.resize and takes the same arguments. Note that the order of the axes is different in cv2 and numpy. In cv2, the first axis is the vertical axis, while in numpy it is the horizontal axis. This is reflected in the default values of the arguments.

Parameters

size: tuple

Size to resize to.

Methods Summary

get(image, dsize, **kwargs)

Transform an image [abstract method].

Methods Documentation

get(image, dsize, **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: 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.