tonic.functional.drop_pixel#

Module Contents#

Functions#

identify_hot_pixel(events, hot_pixel_frequency)

Identifies pixels that fire above above a certain frequency, averaged across whole event

identify_hot_pixel_raster(events, hot_pixel_frequency)

Identifies pixels that fire above a certain predefined spike amount, supports both.

drop_pixel_numpy(events, coordinates)

Drops events for pixel locations that fire.

drop_pixel_raster(raster, coordinates)

Drops events for pixel locations.
tonic.functional.drop_pixel.identify_hot_pixel(events: numpy.ndarray, hot_pixel_frequency: float)[source]#

Identifies pixels that fire above above a certain frequency, averaged across whole event recording. Such _hot_ pixels are sometimes caused by faulty hardware.

Parameters:

  • events (numpy.ndarray) – ndarray of shape [num_events, num_event_channels]

  • hot_pixel_frequency (float) – number of spikes per pixel allowed for the recording, any pixel firing above that number will be deactivated.

Returns:

list of (x/y) coordinates for excessively firing pixels.

tonic.functional.drop_pixel.identify_hot_pixel_raster(events: numpy.ndarray, hot_pixel_frequency: float)[source]#

Identifies pixels that fire above a certain predefined spike amount, supports both.

Parameters:

  • events (numpy.ndarray) – ndarray of shape [P, H, W] or [T, P, H, W]

  • hot_pixel_frequency (float) – number of spikes per pixel allowed for the recording, any pixel firing above that number will be deactivated.

Returns:

list of (x/y) coordinates for excessively firing pixels.

tonic.functional.drop_pixel.drop_pixel_numpy(events: numpy.ndarray, coordinates)[source]#

Drops events for pixel locations that fire.

Parameters:

  • events (numpy.ndarray) – ndarray of shape [num_events, num_event_channels]

  • coordinates – list of (x,y) coordinates for which all events will be deleted.

Returns:

subset of original events.

tonic.functional.drop_pixel.drop_pixel_raster(raster: numpy.ndarray, coordinates)[source]#

Drops events for pixel locations.

Parameters:

  • raster (numpy.ndarray) – ndarray of shape [p, h, w] or [t, p, h, w]

  • coordinates – list of (x,y) coordinates for which all events will be deleted.

Returns:

The filtered raster or frame