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