POKERDVS#
- class tonic.datasets.POKERDVS(save_to: str, train: bool = True, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, transforms: Optional[Callable] = None)[source]#
-
Events have (txyp) ordering.
@article{serrano2015poker, title={Poker-DVS and MNIST-DVS. Their history, how they were made, and other details}, author={Serrano-Gotarredona, Teresa and Linares-Barranco, Bernab{'e}}, journal={Frontiers in neuroscience}, volume={9}, pages={481}, year={2015}, publisher={Frontiers} }
- Parameters:
save_to (string) – Location to save files to on disk.
train (bool) – If True, uses training subset, otherwise testing subset.
transform (callable, optional) – A callable of transforms to apply to the data.
target_transform (callable, optional) – A callable of transforms to apply to the targets/labels.
transforms (callable, optional) – A callable of transforms that is applied to both data and labels at the same time.