Package csb :: Package apps :: Module embd :: Class Deconvolution |
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# Class Deconvolution

source code

    object --+
             |
            Deconvolution

Blind deconvolution for n-dimensional images.

Instance Methods
__init__(self, data, psf_size, beta_x=1e-10, beta_f=1e-10, cache=True) x.__init__(...) initializes x; see help(type(x)) for signature | source code
calculate_image(self, cache=False) | source code
eval_corr(self, cache=False) | source code
eval_loss(self, cache=False) | source code
run(self, iterations) Run multiple iterations. | source code
run_once(self) Run a single iteration. | source code
Inherited from `object`: `__delattr__`, `__format__`, `__getattribute__`, `__hash__`, `__new__`, `__reduce__`, `__reduce_ex__`, `__repr__`, `__setattr__`, `__sizeof__`, `__str__`, `__subclasshook__`

Properties
| beta_f
| beta_x
| correlation Current correlation value.
| data
| loss Current loss value.
Inherited from `object`: `__class__`

Method Details

### __init__(self, data, psf_size, beta_x=1e-10, beta_f=1e-10, cache=True) (Constructor) | source code
x.__init__(...) initializes x; see help(type(x)) for signature Parameters: `data` (array) - EM density map data (data field of csb.bio.io.mrc.DensityInfo) `psf_size` (ints) - point spread function size `beta_x` (float) - hyperparameters of sparseness constraints `beta_f` (float) - hyperparameters of sparseness constraints Overrides: object.__init__ (inherited documentation)

### run(self, iterations) | source code
Run multiple iterations. Parameters: `iterations` (int) - number of iterations to run

Property Details

### beta_f Get Method: unreachable.beta_f(self)

### beta_x Get Method: unreachable.beta_x(self)

### correlation Current correlation value. Get Method: unreachable.correlation(self) - Current correlation value.

### data Get Method: unreachable.data(self)

### loss Current loss value. Get Method: unreachable.loss(self) - Current loss value.