Sequence

class deeptrack.sequences.Sequence(feature: Feature, sequence_length: int | Callable[[...], int] = 1, **kwargs)

Bases: Feature

Resolves a feature as a sequence.

The input feature is resolved sequence_length times, with the kwarg arguments sequene_length and sequence_step passed to all properties of the feature set.

Parameters

featureFeature

The feature to resolve as a sequence.

sequence_lengthint

The number of times to resolve the feature.

Attributes

featureFeature

The feature to resolve as a sequence.

Methods Summary

get(input_list[, sequence_length])

Transform an image [abstract method].

Methods Documentation

get(input_list, sequence_length=None, **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.