本文整理汇总了Python中lazyflow.roi.TinyVector.insert方法的典型用法代码示例。如果您正苦于以下问题：Python TinyVector.insert方法的具体用法？Python TinyVector.insert怎么用？Python TinyVector.insert使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类lazyflow.roi.TinyVector的用法示例。
在下文中一共展示了TinyVector.insert方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: SubRegion
# 需要导入模块: from lazyflow.roi import TinyVector [as 别名]
# 或者: from lazyflow.roi.TinyVector import insert [as 别名]
class SubRegion(Roi):
def __init__(self, slot, start = None, stop = None, pslice = None):
super(SubRegion,self).__init__(slot)
shape = None
if slot is not None:
shape = slot.meta.shape
if pslice != None or start is not None and stop is None and pslice is None:
if pslice is None:
pslice = start
if shape is None:
# Okay to use a shapeless slot if the key is bounded
# AND if the key has the correct length
assert slicingtools.is_bounded(pslice)
# Supply a dummy shape
shape = [0] * len(pslice)
self.start, self.stop = sliceToRoi(pslice,shape)
elif start is None and pslice is None:
assert shape is not None, "Can't create a default subregion without a slot and a shape."
self.start, self.stop = roiFromShape(shape)
else:
self.start = TinyVector(start)
self.stop = TinyVector(stop)
self.dim = len(self.start)
for start, stop in zip(self.start, self.stop):
assert isinstance(start, (int, long, numpy.integer)), "Roi contains non-integers: {}".format( self )
assert isinstance(start, (int, long, numpy.integer)), "Roi contains non-integers: {}".format( self )
# FIXME: This assertion is good at finding bugs, but it is currently triggered by
# the DataExport applet when the output axis order is changed.
#
# if self.slot is not None self.slot.meta.shape is not None:
# assert all(self.stop <= self.slot.meta.shape), \
# "Roi is out of bounds. roi={}, {}.{}.meta.shape={}"\
# .format((self.start, self.stop), slot.getRealOperator().name, slot.name, self.slot.meta.shape)
def __setstate__(self, state):
"""
Support copy.copy()
"""
self.slot = state['slot']
self.start = TinyVector( state['start'] )
self.stop = TinyVector( state['stop'] )
self.dim = len( state['start'] )
def __str__( self ):
return "".join(("Subregion: start '", str(self.start), "' stop '", str(self.stop), "'"))
def pprint(self):
"""pretty-print this object"""
ret = ""
for a,b in zip(self.start, self.stop):
ret += "%d-%d " % (a,b)
return ret
@staticmethod
def _toString(roi):
assert isinstance(roi, SubRegion)
assert roi.slot is None, "Can't stringify SubRegions with no slot"
return "SubRegion(None, {}, {})".format(roi.start, roi.stop)
@staticmethod
def _fromString(s):
return eval(s)
def setInputShape(self,inputShape):
assert type(inputShape) == tuple
self.inputShape = inputShape
def copy(self):
return copy.copy(self)
def popDim(self, dim):
"""
remove the i'th dimension from the SubRegion
works inplace !
"""
if dim is not None:
self.start.pop(dim)
self.stop.pop(dim)
return self
def setDim(self, dim , start, stop):
"""
change the subarray at dim, to begin at start
and to end at stop
"""
self.start[dim] = start
self.stop[dim] = stop
return self
def insertDim(self, dim, start, stop):
"""
insert a new dimension before dim.
set start to start, stop to stop
and the axistags to at
"""
self.start = self.start.insert(dim,start)
self.stop = self.stop.insert(dim,stop)
return self
#.........这里部分代码省略.........
示例2: SubRegion
# 需要导入模块: from lazyflow.roi import TinyVector [as 别名]
# 或者: from lazyflow.roi.TinyVector import insert [as 别名]
class SubRegion(Roi):
def __init__(self, slot, start=None, stop=None, pslice=None):
super(SubRegion, self).__init__(slot)
if pslice != None or start is not None and stop is None and pslice is None:
if pslice is None:
pslice = start
shape = self.slot.meta.shape
if shape is None:
# Okay to use a shapeless slot if the key is bounded
# AND if the key has the correct length
assert slicingtools.is_bounded(pslice)
# Supply a dummy shape
shape = [0] * len(pslice)
self.start, self.stop = sliceToRoi(pslice, shape)
elif start is None and pslice is None:
self.start, self.stop = sliceToRoi(slice(None, None, None), self.slot.meta.shape)
else:
self.start = TinyVector(start)
self.stop = TinyVector(stop)
self.dim = len(self.start)
def __str__(self):
return "".join(("Subregion: start '", str(self.start), "' stop '", str(self.stop), "'"))
@staticmethod
def _toString(roi):
assert isinstance(roi, SubRegion)
assert roi.slot is None, "Can't stringify SubRegions with no slot"
return "SubRegion(None, {}, {})".format(roi.start, roi.stop)
@staticmethod
def _fromString(s):
return eval(s)
def setInputShape(self, inputShape):
assert type(inputShape) == tuple
self.inputShape = inputShape
def copy(self):
return copy.copy(self)
def popDim(self, dim):
"""
remove the i'th dimension from the SubRegion
works inplace !
"""
if dim is not None:
self.start.pop(dim)
self.stop.pop(dim)
return self
def setDim(self, dim, start, stop):
"""
change the subarray at dim, to begin at start
and to end at stop
"""
self.start[dim] = start
self.stop[dim] = stop
return self
def insertDim(self, dim, start, stop, at):
"""
insert a new dimension before dim.
set start to start, stop to stop
and the axistags to at
"""
self.start.insert(0, start)
self.stop.insert(0, stop)
return self
def expandByShape(self, shape, cIndex, tIndex):
"""
extend a roi by a given in shape
"""
# TODO: Warn if bounds are exceeded
cStart = self.start[cIndex]
cStop = self.stop[cIndex]
if tIndex is not None:
tStart = self.start[tIndex]
tStop = self.stop[tIndex]
if isinstance(shape, collections.Iterable):
# add a dummy number for the channel dimension
shape = shape + (1,)
else:
tmp = shape
shape = numpy.zeros(self.dim).astype(int)
shape[:] = tmp
tmpStart = [int(x - s) for x, s in zip(self.start, shape)]
tmpStop = [int(x + s) for x, s in zip(self.stop, shape)]
start = [int(max(t, i)) for t, i in zip(tmpStart, numpy.zeros_like(self.inputShape))]
stop = [int(min(t, i)) for t, i in zip(tmpStop, self.inputShape)]
start[cIndex] = cStart
stop[cIndex] = cStop
if tIndex is not None:
start[tIndex] = tStart
stop[tIndex] = tStop
self.start = TinyVector(start)
self.stop = TinyVector(stop)
return self
#.........这里部分代码省略.........