EventDownsampling

The EventDownsampling applies spatio-temporal downsampling to events as per the downsampling method chosen.

Once Loop Reflect

Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers). Got range [0.0..3.0].

import tonic

nmnist = tonic.datasets.NMNIST("../../tutorials/data", train=False)
events, label = nmnist[0]

transform = tonic.transforms.Compose(
    [
        tonic.transforms.EventDownsampling(sensor_size=nmnist.sensor_size,
                                           target_size=(12, 12),
                                           dt=0.01,
                                           downsampling_method="differentiator",
                                           noise_threshold=0,
                                           differentiator_time_bins=2),
        tonic.transforms.ToFrame(
            sensor_size=(12, 12, 2),
            time_window=10000,
        ),
    ]
)

frames = transform(events)

ani = tonic.utils.plot_animation(frames)