xmipp3.protocols.protocol_reconstruct_significant module

class xmipp3.protocols.protocol_reconstruct_significant.XmippProtReconstructSignificant(**kwargs)[source]

Bases: ProtInitialVolume

This algorithm addresses the initial volume problem in SPA by setting it in a Weighted Least Squares framework and calculating the weights through a statistical approach based on the cumulative density function of different image similarity measures.

convertInputStep(classesFn)[source]

createOutputStep()[source]

getIterTmpVolume(iterNumber)[source]

getIterVolume(iterNumber)[source]

getLastIteration(Nvolumes)[source]

getSignificantArgs(imgsFn)[source]: Return the arguments needed to launch the program.

significantStep(iterNumber, alpha)[source]