tonic.datasets.asl_dvs#

Module Contents#

Classes#

ASLDVS

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

Bases: tonic.dataset.Dataset

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.

url = 'https://www.dropbox.com/sh/ibq0jsicatn7l6r/AACNrNELV56rs1YInMWUs9CAa?dl=1'#
filename = 'ASLDVS.zip'#
file_md5 = '33f8b87bf45edc0bfed0de41822279b9'#
folder_name = ''#
classes#
int_classes#
sensor_size = (240, 180, 2)#
dtype#
ordering#
__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]

__len__()[source]#