def _fillVolSetFromIter(self, volSet, rLev=None, it=None):
it = self._lastIter() if it is None else it
rLev = self._rLev if rLev is None else rLev
volSet.setSamplingRate(self._getInputParticles().getSamplingRate())
modelFn = self._getFileName('model', ruNum=rLev, iter=it)
print('modelFn: ', modelFn)
modelStar = md.MetaData('model_classes@' + modelFn)
idList = []
volFnList = []
clsDistList = []
accRotList = []
accTransList = []
resoList = []
for row in md.iterRows(modelStar):
accurracyRot = row.getValue('rlnAccuracyRotations')
if accurracyRot <= 90:
fn = row.getValue('rlnReferenceImage')
print('Volume: ', fn)
fnMrc = fn + ":mrc"
itemId = self._getClassId(fn)
classDistrib = row.getValue('rlnClassDistribution')
accurracyTras = row.getValue('rlnAccuracyTranslations')
resol = row.getValue('rlnEstimatedResolution')
idList.append(itemId)
volFnList.append(fnMrc)
clsDistList.append(classDistrib)
accRotList.append(accurracyRot)
accTransList.append(accurracyTras)
resoList.append(resol)
std = self.std if hasattr(self, 'std') else None
score = self._estimateScore(accRotList, clsDistList, None, std)
threshold = 1 / float(self.numOfVols.get())
print("score: ", score)
for i, s in enumerate(score):
vol = Volume()
self._invertScaleVol(volFnList[i])
vol.setFileName(self._getOutputVolFn(volFnList[i]))
vol.setObjId(idList[i])
if s <= threshold:
vol._objEnabled = False
vol._cmScore = pwObj.Float(s)
vol._rlnClassDistribution = Float(clsDistList[i])
vol._rlnAccuracyRotations = Float(accRotList[i])
vol._rlnAccuracyTranslations = Float(accTransList[i])
vol._rlnEstimatedResolution = Float(resoList[i])
volSet.append(vol)
def _fillVolSetFromIter(self, volSet, it):
volSet.setSamplingRate(self._getInputParticles().getSamplingRate())
modelStar = md.MetaData('model_classes@' +
self._getFileName('model', iter=it))
for row in md.iterRows(modelStar):
fn = row.getValue('rlnReferenceImage')
fnMrc = fn + ":mrc"
itemId = self._getClassId(fn)
classDistrib = row.getValue('rlnClassDistribution')
accurracyRot = row.getValue('rlnAccuracyRotations')
accurracyTras = row.getValue('rlnAccuracyTranslations')
resol = row.getValue('rlnEstimatedResolution')
if classDistrib > 0:
vol = Volume()
self._invertScaleVol(fnMrc)
vol.setFileName(self._getOutputVolFn(fnMrc))
vol.setObjId(itemId)
vol._rlnClassDistribution = Float(classDistrib)
vol._rlnAccuracyRotations = Float(accurracyRot)
vol._rlnAccuracyTranslations = Float(accurracyTras)
vol._rlnEstimatedResolution = Float(resol)
volSet.append(vol)