neuralib.tracking.facemap.core.KeyPointTrack

class neuralib.tracking.facemap.core.KeyPointTrack

Bases: object

single keypoint tracked result

__init__(name, x, y, likelihood)

Method generated by attrs for class KeyPointTrack.

Parameters:

• name (str)

• x (ndarray)

• y (ndarray)

• likelihood (ndarray)

Return type:

None

name: str

name of keypoint

x: ndarray

x loc. Array[float, F]

y: ndarray

y loc. Array[float, F]

likelihood: ndarray

tracking likelihood. Array[float, F]

property mean_xy: ndarray

mean x y loc. Array[float, F]

with_outlier_filter(filter_window=15, baseline_window=50, max_spike=25, max_diff=25)

x,y with outlier filter (remove jump and do the interpolation)

Parameters:

• filter_window (int) – window size for median filter

• baseline_window (int) – window size for baseline estimation

• max_spike (int) – maximum spike size

• max_diff (int) – maximum difference between baseline and filtered signal

Returns:

KeyPointTrack

Return type:

Self

to_zscore()

x, y z-scoring

Return type:

Self