UniformNoise#

class tonic.transforms.UniformNoise(sensor_size: Tuple[int, int, int], n: Union[int, Tuple[int, int]])[source]#

Adds a fixed number of n noise events that are uniformly distributed across sensor size dimensions such as x, y, t and p.

Parameters:

sensor_size (Tuple[int, int, int]) – a 3-tuple of x,y,p for sensor_size
n (Union[int, Tuple[int, int]]) – Number of events that are added. Can be a tuple of integers, so that n is sampled from a range.

Example

>>> transform = tonic.transforms.UniformNoise(sensor_size=(340, 240, 2), n=3000)

UniformNoise