dgs.utils.track.Track

class dgs.utils.track.Track(N: int, curr_frame: int, states: list[State] | None = None, tid: int = -1)

A Track is a single (de-)queue containing multiple State s, keeping the last N states.

Parameters:

• N – The max length of this track.

• states – A list of State objects, describing the initial values of this track. Default None.

• tid – The Track ID of this object. Default -1.

__init__(N: int, curr_frame: int, states: list[State] | None = None, tid: int = -1) → None

Methods

age(curr_frame)	Get the age of this track (in frames).
append(state)	Append a new state to the Track.
clear()	Clear all the states from the Track.
copy()	Return a (deep) copy of self.
get_all()	Get all the states from the Track and stack them into a single State.
set_active()
set_inactive()	Set the status of this Track to inactive and clean up older states.
set_reactivated(tid)
set_removed()
set_status(status[, tid])	Set the status of this Track.
to(*args, **kwargs)	Call .to() like you do with any other torch.Tensor.

Attributes

N	Get the max length of this Track.
device	Get the device of every tensor in this Track.
id
nof_active
status