xmipp3.protocols.protocol_eliminate_empty_images module¶
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class
xmipp3.protocols.protocol_eliminate_empty_images.
XmippProtEliminateEmptyBase
(**args)[source]¶ Bases:
pwem.protocols.protocol_2d.ProtClassify2D
Base to eliminate images using statistical methods (variance of variances of sub-parts of input image) eliminates those samples, where there is no object/particle (only noise is presented there). Threshold parameter can be used for fine-tuning the algorithm for type of data.
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class
xmipp3.protocols.protocol_eliminate_empty_images.
XmippProtEliminateEmptyClasses
(**args)[source]¶ Bases:
xmipp3.protocols.protocol_eliminate_empty_images.XmippProtEliminateEmptyBase
Takes a set of classes (or averages) and using statistical methods (variances of sub-parts of input image) eliminates those samples, where there is no object/particle (only noise is presented there). Threshold parameter can be used for fine-tuning the algorithm for type of data. Also discards classes with less population than a given percentage.
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class
xmipp3.protocols.protocol_eliminate_empty_images.
XmippProtEliminateEmptyParticles
(**args)[source]¶ Bases:
xmipp3.protocols.protocol_eliminate_empty_images.XmippProtEliminateEmptyBase
Takes a set of particles and using statistical methods (variance of variances of sub-parts of input image) eliminates those samples, where there is no object/particle (only noise is presented there). Threshold parameter can be used for fine-tuning the algorithm for type of data.