VPR#

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

Visual Place Recognition

Event-Based Visual Place Recognition With Ensembles of Temporal Windows. Events have (txyp) ordering.

Note

To be able to read this dataset and its GPS files, you will need the pynmea2 package installed.

@article{fischer2020event,
  title={Event-based visual place recognition with ensembles of temporal windows},
  author={Fischer, Tobias and Milford, Michael},
  journal={IEEE Robotics and Automation Letters},
  volume={5},
  number={4},
  pages={6924--6931},
  year={2020},
  publisher={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.

__getitem__(index)[source]#

Returns:: a tuple of (data, target) where data is another tuple of (events, imu, images) and target is gps positional data.

VPR

Contents

VPR#