ASLDVS#

class tonic.datasets.ASLDVS(save_to: str, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, transforms: Optional[Callable] = None)[source]#

ASL-DVS

@inproceedings{bi2019graph,
    title={Graph-based Object Classification for Neuromorphic Vision Sensing},
    author={Bi, Y and Chadha, A and Abbas, A and and Bourtsoulatze, E and Andreopoulos, Y},
    booktitle={2019 IEEE International Conference on Computer Vision (ICCV)},
    year={2019},
    organization={IEEE}
}
Parameters:

  • save_to (string) – Location to save files to on disk.

  • 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.

__getitem__(index: int) → Tuple[Any, Any][source]#
Returns:

(events, target) where target is index of the target class.

Parameters:

index (int) –

Return type:

Tuple[Any, Any]