Cumsum#
- class deeptrack.statistics.Cumsum(feature: Feature | None = None, axis: int | tuple[int, ...] | None = None, distributed: bool = True, **kwargs)#
Bases:
ReducerCompute the cumulative sum along the specified axis.
Parameters#
- feature: Feature, optional
If not None, the output of this feature is used as the input.
- axis: int or tuple of int or None
The axis or axes along which the cumulative sum is performed. If None, the cumulative sum is performed over all axes.
- distributed: bool
Whether to apply the reducer to each image in the input list individually.
- **kwargs: Any
Additional keyword arguments passed to the parent class and the cumulative sum function.