aopp_deconv_tool.psf_model.gaussian_psf_model.GaussianPSFModel

class documentation

class GaussianPSFModel:

Constructor: GaussianPSFModel(shape, dtype)

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Class defines a gaussian where the shape and type are fixed at instantiaion, but the mean, standard deviation, and offset are calculated by the instance. This is useful for putting into an optimising function as the underlying array storage is only created once.

Method __call__ Undocumented
Method __init__ Undocumented
Instance Variable indices Undocumented
Instance Variable result Undocumented
Instance Variable working_array Undocumented
def __call__(self, mean: np.ndarray[S1[N], U], std: np.ndarray[S1[N], U], const: U) -> np.ndarray[S[N], T]:

Undocumented

def __init__(self, shape: S[N], dtype: T):

Undocumented

indices =

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result =

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working_array =

Undocumented