Reducer

class deeptrack.statistics.Reducer(function, feature=None, distributed=True, **kwargs)

Bases: Feature

Base class of features that reduce the dimensionality of the input.

Parameters

functionCallable

The function used to reduce the input

featureFeature, optional

If not None, the output of this feature is used as the input.

distributedboolean

Whether to apply the reducer to each image in the input list individually.

axisint, tuple of int

The axis / axes to reduce over

keepdimsboolean

Whether to keep the singleton dimensions after reducing or squeeze them.

Methods Summary

get(image, axis[, keepdims])

Transform an image [abstract method].

Methods Documentation

get(image, axis, keepdims=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.