def addLabel(self, name,number, color):
description = VolumeLabelDescription(name,number, color, None)
for imageIndex, imageItem in enumerate(self.dataMgr):
descr = description.clone()
descr._prediction = numpy.zeros(imageItem._dataVol._data.shape[0:-1], 'uint8')
imageItem.Interactive_Segmentation.seedLabelsVolume.descriptions.append(descr)
def addLabel(self, name, number, color):
description = VolumeLabelDescription(name, number, color, None)
for imageIndex, imageItem in enumerate(self.dataMgr):
descr = description.clone()
descr._prediction = numpy.zeros(
imageItem._dataVol._data.shape[0:-1], 'uint8')
imageItem.Interactive_Segmentation.seedLabelsVolume.descriptions.append(
descr)
def addLabel(self, name, number, color):
description = VolumeLabelDescription(name, number, color, None)
self.dataMgr.module["Classification"]["labelDescriptions"].append(
description)
def addLabel(self, name, number, color):
description = VolumeLabelDescription(name,number, color, None)
description._prediction = numpy.zeros(self.dataItemImage.shape[0:-1], 'uint8')
self.background.descriptions.append(description)
def addLabel(self, name, number, color):
description = VolumeLabelDescription(name, number, color, None)
description._prediction = numpy.zeros(self.dataItemImage.shape[0:-1],
'uint8')
self.objects.descriptions.append(description)