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‘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.