def _loadInputInfo(self):
from pyworkflow.em.packages.xmipp3 import getImageLocation
reference = self.input3DReferences.get() # Input can be either a single volume or a set of volumes.
if isinstance(reference, Volume): # Treat the case of a single volume
self.referenceFileNames = [getImageLocation(reference)]
else:
self.referenceFileNames = [getImageLocation(vol) for vol in reference]
self.numberOfReferences = len(self.referenceFileNames)
self.resolSam = reference.getSamplingRate()
def _loadInputInfo(self):
from pyworkflow.em.packages.xmipp3 import getImageLocation
reference = self.input3DReferences.get() # Input can be either a single volume or a set of volumes.
if isinstance(reference, Volume): # Treat the case of a single volume
self.referenceFileNames = [getImageLocation(reference)]
else:
self.referenceFileNames = [getImageLocation(vol) for vol in reference]
self.numberOfReferences = len(self.referenceFileNames)
self.resolSam = reference.getSamplingRate()
def createCircularMask(self, radius, refImage, outputFile):
""" Create a circular mask with the given radius (pixels)
and with the same dimensions of the refImage.
The radius should be less or equal dim(refImage)/2
The mask will be stored in 'outputFile'
"""
#TODO: right now we need to call an xmipp program to create
# the spherical mask, it would be nicer to have such utility in the binding
import pyworkflow.em.packages.xmipp3 as xmipp3
inputRef = xmipp3.getImageLocation(refImage)
self.__runXmippProgram('xmipp_transform_mask',
'-i %s --create_mask %s --mask circular -%d' % (inputRef, outputFile, radius))