tonic.datasets.mvsec
#
Module Contents#
Classes#
- class tonic.datasets.mvsec.MVSEC(save_to: str, scene: str, transform: Optional[Callable] = None, target_transform: Optional[Callable] = None, transforms: Optional[Callable] = None)[source]#
Bases:
tonic.dataset.Dataset
@article{zihao2018multi, title={The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception}, author={Zihao Zhu, Alex and Thakur, Dinesh and Ozaslan, Tolga and Pfrommer, Bernd and Kumar, Vijay and Daniilidis, Kostas}, journal={arXiv e-prints}, pages={arXiv--1801}, year={2018} }
- Parameters:
save_to (string) – Location to save files to on disk.
scene (string) – Choose one of 4 scenes: outdoor_night, outdoor_day, indoor_flying, motorcycle. If you already have the data on your system, make sure to place the .bag files in a subfolder ‘MVSEC/{scene}/bag_files.bag’.
transform (callable, optional) – A callable of transforms to apply to events and / or images for both left and right cameras.
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.
- resources#
- base_url = 'http://visiondata.cis.upenn.edu/mvsec/'#
- sensor_size = (346, 260, 2)#
- dtype#
- ordering#