xmipp3.protocols.protocol_deep_hand module

class xmipp3.protocols.protocol_deep_hand.XmippProtDeepHand(*args, **kwargs)[source]

Bases: EMProtocol, XmippProtocol

Predicts the handedness of a structure using a trained deep learning model. Determining correct handedness is essential in cryo-EM to ensure the accurate interpretation of 3D reconstructions.

createOutputStep()[source]

flipStep()[source]

predictStep()[source]

preprocessStep()[source]

removeCudaFromEnvPath(env)[source]