tonic.functional.to_voxel_grid#

Module Contents#

Functions#

to_voxel_grid_numpy(events, sensor_size[, n_time_bins])

Build a voxel grid with bilinear interpolation in the time domain from a set of events.
tonic.functional.to_voxel_grid.to_voxel_grid_numpy(events, sensor_size, n_time_bins=10)[source]#

Build a voxel grid with bilinear interpolation in the time domain from a set of events. Implements the event volume from Zhu et al. 2019, Unsupervised event-based learning of optical flow, depth, and egomotion.

Parameters:

  • events – ndarray of shape [num_events, num_event_channels]

  • sensor_size – size of the sensor that was used [W,H].

  • n_time_bins – number of bins in the temporal axis of the voxel grid.

Returns:

numpy array of n event volumes (n,w,h,t)