def __init__(self, dataMgr):
BaseModuleMgr.__init__(self, dataMgr)
self.dataMgr = dataMgr
self.featureMgr = featureMgr
self.classifier = classifiers.classifierRandomForest.ClassifierRandomForest
if self.dataMgr.module["Classification"] is None:
self.dataMgr.module["Classification"] = self
self.classificationMgr = self["classificationMgr"] = ClassificationMgr(self.dataMgr)
if self.dataMgr.module["Classification"]["labelDescriptions"] is None:
self.dataMgr.module["Classification"]["labelDescriptions"] = VolumeLabelDescriptionMgr()
for i, im in enumerate(self.dataMgr):
self.onNewImage(im)
self.labelMgr = labelMgr.LabelMgr(self.dataMgr, self.classificationMgr)
self.featureMgr = featureMgr.FeatureMgr(self.dataMgr)
self.classificationMgr.clearFeaturesAndTraining()
def __init__(self, dataMgr):
BaseModuleMgr.__init__(self, dataMgr)
self.dataMgr = dataMgr
def __init__(self, dataMgr):
BaseModuleMgr.__init__(self, dataMgr)
self.dataMgr = dataMgr
for i, im in enumerate(self.dataMgr):
self.onNewImage(im)
def __init__(self, dataMgr):
BaseModuleMgr.__init__(self, dataMgr)
self.dataMgr = dataMgr
def __init__(self, dataMgr):
BaseModuleMgr.__init__(self, dataMgr)
self.dataMgr = dataMgr
self.unsupervisedMethod = algorithms.unsupervisedDecompositionPCA.UnsupervisedDecompositionPCA
if self.dataMgr.module["Unsupervised_Decomposition"] is None:
self.dataMgr.module["Unsupervised_Decomposition"] = self
def __init__(self, dataMgr):
BaseModuleMgr.__init__(self, dataMgr)
self.dataMgr = dataMgr
for i, im in enumerate(self.dataMgr):
self.onNewImage(im)
