NCARS#

class tonic.prototype.datasets.NCARS(root: PathLike, train: Optional[bool] = True, skip_sha256_check: Optional[bool] = True)[source]#

N-CARS

This datasets needs ‘expelliarmus’ installed on the system. Events have “txyp” ordering.

@article{Sironi_2018_CVPR,
  author = {Sironi, Amos and Brambilla, Manuele and Bourdis, Nicolas and Lagorce, Xavier and Benosman, Ryad},
  title = {HATS: Histograms of Averaged Time Surfaces for Robust Event-Based Object Classification},
  booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = {June},
  year = {2018}
}
Parameters:

  • root (string) – Location to decompressed archive.

  • train (bool) – If True, uses training subset, otherwise testing subset.

  • skip_sha256_check (Optional[bool]) –