Exemplo n.º 1
0
 def __init__(self, src=None, quat=None):
     self.handle = None
     self.name = 'AffineTransformation'
     if src is None:
         self.handle = pyreg.cReg_newObject(self.name)
     elif isinstance(src, str):
         self.handle = pyreg.cReg_objectFromFile(self.name, src)
     elif isinstance(src, numpy.ndarray) and quat is None:
         if src.shape != (4, 4):
             raise AssertionError()
         # Need to transpose relative to MATLAB
         trans = numpy.zeros((4, 4), dtype=numpy.float32)
         for i in range(4):
             for j in range(4):
                 trans[i, j] = src[j, i]
             self.handle = pyreg.cReg_AffineTransformation_construct_from_TM(
                 trans.ctypes.data)
     elif isinstance(src,
                     numpy.ndarray) and quat is not None and isinstance(
                         quat, Quaternion):
         self.handle = pyreg.cReg_AffineTransformation_construct_from_trans_and_quaternion(
             src.ctypes.data, quat.handle)
     else:
         raise error(
             'AffineTransformation accepts no args, filename, 4x4 array or translation with quaternion.'
         )
     check_status(self.handle)
Exemplo n.º 2
0
 def __init__(self, src=None):
     self.handle = None
     self.name = 'NiftiImageData'
     if src is None:
         self.handle = pyreg.cReg_newObject(self.name)
     elif isinstance(src, str):
         self.handle = pyreg.cReg_objectFromFile(self.name, src)
     else:
         raise error('Wrong source in NiftiImageData constructor')
     check_status(self.handle)
Exemplo n.º 3
0
 def __init__(self, src1=None, src2=None, src3=None):
     self.handle = None
     self.name = 'NiftiImageData3DTensor'
     if src1 is None:
         self.handle = pyreg.cReg_newObject(self.name)
     elif isinstance(src1, str):
         self.handle = pyreg.cReg_objectFromFile(self.name, src1)
     elif isinstance(src1, NiftiImageData3D) and isinstance(src2, NiftiImageData3D) and isinstance(src3, NiftiImageData3D):
         self.handle = pyreg.cReg_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)
Exemplo n.º 4
0
 def __init__(self):
     self.name = 'ImageWeightedMean'
     self.handle = pyreg.cReg_newObject(self.name)
     check_status(self.handle)
Exemplo n.º 5
0
 def __init__(self):
     self.name = 'NiftyResample'
     self.handle = pyreg.cReg_newObject(self.name)
     self.reference_image = None
     self.floating_image = None
     check_status(self.handle)
Exemplo n.º 6
0
 def __init__(self):
     _Registration.__init__(self)
     self.name = 'NiftyF3dSym'
     self.handle = pyreg.cReg_newObject(self.name)
     check_status(self.handle)