def load(self, file, args=None):
if self.base_ref != None:
self.base_ref = None
teem.nrrdNix(self._ctypesobj)
self._ctypesobj = teem.nrrdNew()
teem.nrrdLoad(self._ctypesobj, file, args)
self.base_ref = None
self._init = True
def load(self, file, args=None):
if self.base_ref != None:
self.base_ref = None
teem.nrrdNix(self._ctypesobj)
self._ctypesobj = teem.nrrdNew()
teem.nrrdLoad(self._ctypesobj, file, args)
self.base_ref = None
self._init = True
def fromNDArray(self, array):
if self.base_ref != None:
self.base_ref = None
teem.nrrdNix(self._ctypesobj)
self._ctypesobj = teem.nrrdNew()
try:
cTy, teemTy = ndarrayGetTypes(array)
except Exception as err:
print err
return
c_type_p = ctypes.POINTER(cTy)
if (array.flags.f_contiguous): # memory shared with array
array_p = array.ctypes.data_as(c_type_p)
dims = list(array.shape)
sizes = (ctypes.c_size_t * teem.NRRD_DIM_MAX)(*dims)
teem.nrrdWrap_nva(self._ctypesobj, array_p, teemTy,
ctypes.c_uint(array.ndim), sizes)
self.base_ref = array
elif (array.flags.c_contiguous): # memory shared with array
array_p = array.ctypes.data_as(c_type_p)
dims = list(reversed(array.shape))
sizes = (ctypes.c_size_t * teem.NRRD_DIM_MAX)(*dims)
teem.nrrdWrap_nva(self._ctypesobj, array_p, teemTy,
ctypes.c_uint(array.ndim), sizes)
self.base_ref = array
else: # must make c_contiguous -- memory not shared with array, transfer full control to teem
arr = numpy.ascontiguousarray(array, dtype=array.dtype.type)
array_p = arr.ctypes.data_as(c_type_p)
dims = list(reversed(arr.shape))
nrrd_tmp = teem.nrrdNew()
sizes = (ctypes.c_size_t * teem.NRRD_DIM_MAX)(*dims)
teem.nrrdWrap_nva(nrrd_tmp, array_p, teemTy,
ctypes.c_uint(array.ndim), sizes)
teem.nrrdCopy(self._ctypesobj,
nrrd_tmp) # this call hangs with fmob-ch4.nrrd
teem.nrrdNix(nrrd_tmp)
self.base_ref = None
self._init = True
if isinstance(array, ExtendedArray):
if not array.base_ref is None: # means there is some Nrrd file sharing it's memory with the array
teem.nrrdAxisInfoCopy(self._ctypesobj,
array.base_ref._ctypesobj, None,
teem.NRRD_AXIS_INFO_SIZE_BIT)
def fromNDArray(self, array):
if self.base_ref != None:
self.base_ref = None
teem.nrrdNix(self._ctypesobj)
self._ctypesobj = teem.nrrdNew()
try:
cTy, teemTy = ndarrayGetTypes(array)
except Exception as err:
print err
return
c_type_p = ctypes.POINTER(cTy)
if array.flags.f_contiguous: # memory shared with array
array_p = array.ctypes.data_as(c_type_p)
dims = list(array.shape)
sizes = (ctypes.c_size_t * teem.NRRD_DIM_MAX)(*dims)
teem.nrrdWrap_nva(self._ctypesobj, array_p, teemTy, ctypes.c_uint(array.ndim), sizes)
self.base_ref = array
elif array.flags.c_contiguous: # memory shared with array
array_p = array.ctypes.data_as(c_type_p)
dims = list(reversed(array.shape))
sizes = (ctypes.c_size_t * teem.NRRD_DIM_MAX)(*dims)
teem.nrrdWrap_nva(self._ctypesobj, array_p, teemTy, ctypes.c_uint(array.ndim), sizes)
self.base_ref = array
else: # must make c_contiguous -- memory not shared with array, transfer full control to teem
arr = numpy.ascontiguousarray(array, dtype=array.dtype.type)
array_p = arr.ctypes.data_as(c_type_p)
dims = list(reversed(arr.shape))
nrrd_tmp = teem.nrrdNew()
sizes = (ctypes.c_size_t * teem.NRRD_DIM_MAX)(*dims)
teem.nrrdWrap_nva(nrrd_tmp, array_p, teemTy, ctypes.c_uint(array.ndim), sizes)
teem.nrrdCopy(self._ctypesobj, nrrd_tmp) # this call hangs with fmob-ch4.nrrd
teem.nrrdNix(nrrd_tmp)
self.base_ref = None
self._init = True
if isinstance(array, ExtendedArray):
if not array.base_ref is None: # means there is some Nrrd file sharing it's memory with the array
teem.nrrdAxisInfoCopy(self._ctypesobj, array.base_ref._ctypesobj, None, teem.NRRD_AXIS_INFO_SIZE_BIT)