CenterCrop

class tonic.transforms.CenterCrop(sensor_size: Tuple[int, int, int], size: Union[int, Tuple[int, int]])

Crops events at the center to a specific output size. If output size is smaller than input sensor size along any dimension, padding will be used, which doesn’t influence the number of events on that axis but just their spatial location after cropping. Make sure to use the cropped sensor size for any transform after CenterCrop.

Parameters:

• sensor_size (tuple) – Size of the sensor that was used [W,H,P]

• size (sequence or int) – Desired output size of the crop. If size is an int instead of sequence like (h, w), a square crop (size, size) is made.