def __init__(self, src=None):
self.handle = None
self.name = 'NiftiImageData'
if src is None:
self.handle = pysirfreg.cSIRFReg_newObject(self.name)
elif isinstance(src, str):
self.handle = pysirfreg.cSIRFReg_objectFromFile(self.name, src)
else:
raise error('Wrong source in NiftiImageData constructor')
check_status(self.handle)
def __init__(self, src1=None, src2=None, src3=None):
self.handle = None
self.name = 'NiftiImageData3DTensor'
if src1 is None:
self.handle = pysirfreg.cSIRFReg_newObject(self.name)
elif isinstance(src1, str):
self.handle = pysirfreg.cSIRFReg_objectFromFile(self.name, src1)
elif isinstance(src1, NiftiImageData3D) and isinstance(
src2, NiftiImageData3D) and isinstance(src3, NiftiImageData3D):
self.handle = pysirfreg.cSIRFReg_NiftiImageData3DTensor_construct_from_3_components(
self.name, src1.handle, src2.handle, src3.handle)
else:
raise error('Wrong source in NiftiImageData3DTensor constructor')
check_status(self.handle)
def __init__(self, src=None):
self.handle = None
self.name = 'SIRFRegAffineTransformation'
if src is None:
self.handle = pysirfreg.cSIRFReg_newObject(self.name)
elif isinstance(src, str):
self.handle = pysirfreg.cSIRFReg_objectFromFile(self.name, src)
elif isinstance(src, numpy.ndarray):
if src.shape != (4, 4):
raise AssertionError()
self.handle = pysirfreg.cSIRFReg_SIRFRegAffineTransformation_construct_from_TM(
src.ctypes.data)
else:
raise error('Wrong source in affine transformation constructor')
check_status(self.handle)
def __init__(self):
self.name = 'SIRFRegImageWeightedMean'
self.handle = pysirfreg.cSIRFReg_newObject(self.name)
check_status(self.handle)
def __init__(self):
self.name = 'SIRFRegNiftyResample'
self.handle = pysirfreg.cSIRFReg_newObject(self.name)
check_status(self.handle)
