tonic 0.3.0

Event-based datasets and transformations based on pyTorch vision.

Tonic provides publicly available spike-based datasets and data transformations based on PyTorch.

Have a look at the list of supported datasets and transformations!

Install

pip install tonic

Quickstart

import tonic
import tonic.transforms as transforms

transform = transforms.Compose([transforms.Denoise(time_filter=10000),
                                transforms.TimeJitter(variance=10),])

testset = tonic.datasets.NMNIST(save_to='./data',
                                train=False,
                                transform=transform)

testloader = tonic.datasets.DataLoader(testset, shuffle=True)

events, target = next(iter(testloader))

Documentation

You can find the full documentation on Tonic here.