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