Add#

class deeptrack.features.Add(value: float | Callable[[...], float] = 0, **kwargs: Dict[str, Any])#

Add a value to the input.

This feature performs element-wise addition (+) to the input.

Parameters#

valuePropertyLike[int or float], optional: The value to add to the input. Defaults to 0.
**kwargsAny: Additional keyword arguments passed to the parent constructor.

In this example, each element in the input array is incremented by 5.

Start by creating a pipeline using Add:

>>> from deeptrack.features import Add, Value

>>> pipeline = Value([1, 2, 3]) >> Add(value=5)
>>> pipeline.resolve()
[6, 7, 8]

Equivalently, this pipeline can be created using:

>>> pipeline = Value([1, 2, 3]) + 5

>>> pipeline = 5 + Value([1, 2, 3])

Or, most explicitly:

>>> input_value = Value([1, 2, 3])
>>> add_feature = Add(value=5)
>>> pipeline = add_feature(input_value)