ptypy.custom.MLOPR.MLOPR#

class ptypy.custom.MLOPR.MLOPR(ptycho_parent, pars=None)#

Bases: ML

Subclass of Maximum likelihood reconstruction engine for independent probes (OPR).

__init__(ptycho_parent, pars=None)#: Maximum likelihood reconstruction engine for independent probes.

Methods

`__init__`(ptycho_parent[, pars])	Maximum likelihood reconstruction engine for independent probes.
`engine_finalize`()	Try deleting every helper container.
`engine_initialize`()	Prepare for ML reconstruction.
`engine_iterate`([num])	Compute num iterations.
`engine_prepare`()	Last minute initialization, everything, that needs to be recalculated, when new data arrives.
`finalize`()	Clean up after iterations are done.
`initialize`()	Prepare for reconstruction.
`iterate`([num])	Compute one or several iterations.
`position_update`()	Position refinement update.
`prepare`()	Last-minute preparation before iterating.
`support_constraint`([storage])	Enforces 2D support contraint on probe.

Attributes

`COMPATIBLE_MODELS`
`DEFAULT`
`POSREF_ENGINES`
`SUPPORTED_MODELS`

engine_finalize()#: Try deleting every helper container. Gather independent probes for saving.

engine_initialize()#: Prepare for ML reconstruction.

engine_iterate(num=1)#: Compute num iterations.

engine_prepare()#: Last minute initialization, everything, that needs to be recalculated, when new data arrives.

finalize()#: Clean up after iterations are done.

initialize()#: Prepare for reconstruction.

iterate(num=None)#

Compute one or several iterations.

numNone, int number of iterations.: If None or num<1, a single iteration is performed.

position_update()#: Position refinement update.

prepare()#: Last-minute preparation before iterating.

support_constraint(storage=None)#: Enforces 2D support contraint on probe.