neuralib.tracking.facemap.core.SVDVariables

class neuralib.tracking.facemap.core.SVDVariables[source]

Bases: TypedDict

SVD output from facemap

filenames: list[str]
save_path: str
Ly: list[int]
Lx: list[int]
sbin: int
fullSVD: bool
save_mat: bool
Lybin: ndarray
Lxbin: ndarray
sybin: ndarray
sxbin: ndarray
LYbin: int
LXbin: int
avgframe: list[ndarray]
avgmotion: list[ndarray]
avgframe_reshape: ndarray
avgmotion_reshape: ndarray
motion: list[ndarray]
motSv: list[ndarray]
movSv: list[ndarray]
motMask: list[int]
movMask: list[int]
motMask_reshape: list[int]
movMask_reshape: list[int]
motSVD: list[ndarray]
movSVD: list[ndarray]
pupil: list[PupilDict]
running: list[ndarray]
rois: list[RoiDict]
sy: ndarray
sx: ndarray
__init__(*args, **kwargs)
__new__(**kwargs)
clear() None.  Remove all items from D.
copy() a shallow copy of D
fromkeys(value=None, /)

Create a new dictionary with keys from iterable and values set to value.

get(key, default=None, /)

Return the value for key if key is in the dictionary, else default.

items() a set-like object providing a view on D's items
keys() a set-like object providing a view on D's keys
pop(k[, d]) v, remove specified key and return the corresponding value.

If the key is not found, return the default if given; otherwise, raise a KeyError.

popitem()

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

setdefault(key, default=None, /)

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

update([E, ]**F) None.  Update D from dict/iterable E and F.

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values() an object providing a view on D's values