def _preprocessClass(self, classItem, classRow):
KendersomBaseClassify._preprocessClass(self, classItem, classRow)
ref = classRow.getValue(xmipp.MDL_REF) # get class number
classItem.spectraPlot = em.Image()
classItem.spectraPlot.setFileName(self._createSpectraPlot('class',
self.classArray,
ref))
def _preprocessClass(self, classItem, classRow):
KendersomBaseClassify._preprocessClass(self, classItem, classRow)
ref = classRow.getValue(xmipp.MDL_REF) # get class number
classItem.spectraPlot = em.Image()
classItem.spectraPlot.setFileName(self._createSpectraPlot('class',
self.classArray,
ref))
def _prepareParams(self):
KendersomBaseClassify._prepareParams(self)
self._params['extraDir'] = self._getExtraPath()
# we need to convert R1 and R2 to percentage of the radius
radius = self.inputParticles.get().getDim()[0] / 2
percent = 100. / radius
self._params['R1'] = self.spectraInnerRadius.get() * percent
self._params['R2'] = self.spectraOuterRadius.get() * percent
self._params['spectraLowHarmonic'] = self.spectraLowHarmonic.get()
self._params['spectraHighHarmonic'] = self.spectraHighHarmonic.get()
self._params['vectors'] = self._getExtraPath("rotSpectra.xmd")
def _prepareParams(self):
KendersomBaseClassify._prepareParams(self)
self._params['extraDir'] = self._getExtraPath()
# we need to convert R1 and R2 to percentage of the radius
radius = self.inputParticles.get().getDim()[0] / 2
percent = 100. / radius
self._params['R1'] = self.spectraInnerRadius.get() * percent
self._params['R2'] = self.spectraOuterRadius.get() * percent
self._params['spectraLowHarmonic'] = self.spectraLowHarmonic.get()
self._params['spectraHighHarmonic'] = self.spectraHighHarmonic.get()
self._params['vectors'] = self._getExtraPath("rotSpectra.xmd")
def __init__(self, **args):
KendersomBaseClassify.__init__(self, **args)
def _methods(self):
return KendersomBaseClassify._methods(self)
def _summary(self):
return KendersomBaseClassify._summary(self)
def _validate(self):
return KendersomBaseClassify._validate(self)
def __init__(self, **args):
KendersomBaseClassify.__init__(self, **args)
def _methods(self):
return KendersomBaseClassify._methods(self)
def _summary(self):
return KendersomBaseClassify._summary(self)
def _validate(self):
return KendersomBaseClassify._validate(self)
