def testReportGeneration(self):
graph = Graph()
sampleData = numpy.random.randint(0, 256, size=(50, 50, 50))
sampleData = sampleData.astype(numpy.uint8)
sampleData = vigra.taggedView(sampleData, axistags='xyz')
opData = OpArrayPiper(graph=graph)
opData.Input.setValue(sampleData)
op = OpCompressedCache(parent=None, graph=graph)
op.BlockShape.setValue((25, 25, 25))
op.Input.connect(opData.Output)
before = time.time()
assert op.Output.ready()
assert op.usedMemory() == 0.0,\
"cache must not be filled at this point"
op.Output[...].wait()
assert op.usedMemory() > 0.0,\
"cache must contain data at this point"
after = time.time()
r = MemInfoNode()
op.generateReport(r)
# not sure how good this can be compressed, but the cache
# should hold memory by now
assert r.usedMemory > 0
# check sanity of last access time
assert r.lastAccessTime >= before, str(r.lastAccessTime)
assert r.lastAccessTime <= after, str(r.lastAccessTime)
assert r.fractionOfUsedMemoryDirty == 0.0
opData.Input.setDirty(
(slice(0, 25), slice(0, 25), slice(0, 25)))
assert op.fractionOfUsedMemoryDirty() < 1.0
assert op.fractionOfUsedMemoryDirty() > 0
opData.Input.setDirty(slice(None))
assert op.fractionOfUsedMemoryDirty() == 1.0
def testReportGeneration(self):
graph = Graph()
sampleData = numpy.random.randint(0, 256, size=(50, 50, 50))
sampleData = sampleData.astype(numpy.uint8)
sampleData = vigra.taggedView(sampleData, axistags='xyz')
opData = OpArrayPiper(graph=graph)
opData.Input.setValue(sampleData)
op = OpCompressedCache(parent=None, graph=graph)
op.BlockShape.setValue((25, 25, 25))
op.Input.connect(opData.Output)
before = time.time()
assert op.Output.ready()
assert op.usedMemory() == 0.0,\
"cache must not be filled at this point"
op.Output[...].wait()
assert op.usedMemory() > 0.0,\
"cache must contain data at this point"
after = time.time()
r = MemInfoNode()
op.generateReport(r)
# not sure how good this can be compressed, but the cache
# should hold memory by now
assert r.usedMemory > 0
# check sanity of last access time
assert r.lastAccessTime >= before, str(r.lastAccessTime)
assert r.lastAccessTime <= after, str(r.lastAccessTime)
assert r.fractionOfUsedMemoryDirty == 0.0
opData.Input.setDirty((slice(0, 25), slice(0, 25), slice(0, 25)))
assert op.fractionOfUsedMemoryDirty() < 1.0
assert op.fractionOfUsedMemoryDirty() > 0
opData.Input.setDirty(slice(None))
assert op.fractionOfUsedMemoryDirty() == 1.0
class OpCachedLabelImage(OpCache):
"""
Combines OpLabelImage with OpCompressedCache, and provides a default block shape.
"""
Input = InputSlot()
BackgroundLabels = InputSlot(optional=True) # Optional. See OpLabelImage for details.
BlockShape = InputSlot(optional=True) # If not provided, blockshape is 1 time slice, 1 channel slice,
# and the entire volume in xyz.
Output = OutputSlot()
# Serialization support
InputHdf5 = InputSlot(optional=True)
CleanBlocks = OutputSlot()
OutputHdf5 = OutputSlot() # See OpCachedLabelImage for details
# Schematic:
#
# BackgroundLabels -- BlockShape --
# \ \
# Input ------------> OpLabelImage ---> OpCompressedCache --> Output
# \
# --> CleanBlocks
def __init__(self, *args, **kwargs):
warn_deprecated("OpCachedLabelImage is deprecated, use OpLabelVolume instead")
super(OpCachedLabelImage, self).__init__(*args, **kwargs)
# Hook up the labeler
self._opLabelImage = OpLabelImage( parent=self )
self._opLabelImage.Input.connect( self.Input )
self._opLabelImage.BackgroundLabels.connect( self.BackgroundLabels )
# Hook up the cache
self._opCache = OpCompressedCache( parent=self )
self._opCache.Input.connect( self._opLabelImage.Output )
self._opCache.InputHdf5.connect( self.InputHdf5 )
# Hook up our output slots
self.Output.connect( self._opCache.Output )
self.CleanBlocks.connect( self._opCache.CleanBlocks )
self.OutputHdf5.connect( self._opCache.OutputHdf5 )
def generateReport(self, report):
return self._opCache.generateReport(report)
def usedMemory(self):
return self._opCache.usedMemory()
def fractionOfUsedMemoryDirty(self):
return self._opCache.fractionOfUsedMemoryDirty()
def lastAccessTime(self):
return self._opCache.lastAccessTime()
def setupOutputs(self):
if self.BlockShape.ready():
self._opCache.BlockShape.setValue( self.BlockShape.value )
else:
# By default, block shape is the same as the entire image shape,
# but only 1 time slice and 1 channel slice
taggedBlockShape = self.Input.meta.getTaggedShape()
taggedBlockShape['t'] = 1
taggedBlockShape['c'] = 1
self._opCache.BlockShape.setValue( tuple( taggedBlockShape.values() ) )
def execute(self, slot, subindex, roi, destination):
assert False, "Shouldn't get here."
def propagateDirty(self, slot, subindex, roi):
pass # Nothing to do...
def setInSlot(self, slot, subindex, roi, value):
assert slot == self.Input or slot == self.InputHdf5, "Invalid slot for setInSlot(): {}".format( slot.name )
class OpCachedLabelImage(OpCache):
"""
Combines OpLabelImage with OpCompressedCache, and provides a default block shape.
"""
Input = InputSlot()
BackgroundLabels = InputSlot(
optional=True) # Optional. See OpLabelImage for details.
BlockShape = InputSlot(
optional=True
) # If not provided, blockshape is 1 time slice, 1 channel slice,
# and the entire volume in xyz.
Output = OutputSlot()
# Serialization support
InputHdf5 = InputSlot(optional=True)
CleanBlocks = OutputSlot()
OutputHdf5 = OutputSlot() # See OpCachedLabelImage for details
# Schematic:
#
# BackgroundLabels -- BlockShape --
# \ \
# Input ------------> OpLabelImage ---> OpCompressedCache --> Output
# \
# --> CleanBlocks
def __init__(self, *args, **kwargs):
warn_deprecated(
"OpCachedLabelImage is deprecated, use OpLabelVolume instead")
super(OpCachedLabelImage, self).__init__(*args, **kwargs)
# Hook up the labeler
self._opLabelImage = OpLabelImage(parent=self)
self._opLabelImage.Input.connect(self.Input)
self._opLabelImage.BackgroundLabels.connect(self.BackgroundLabels)
# Hook up the cache
self._opCache = OpCompressedCache(parent=self)
self._opCache.Input.connect(self._opLabelImage.Output)
self._opCache.InputHdf5.connect(self.InputHdf5)
# Hook up our output slots
self.Output.connect(self._opCache.Output)
self.CleanBlocks.connect(self._opCache.CleanBlocks)
self.OutputHdf5.connect(self._opCache.OutputHdf5)
def generateReport(self, report):
return self._opCache.generateReport(report)
def usedMemory(self):
return self._opCache.usedMemory()
def fractionOfUsedMemoryDirty(self):
return self._opCache.fractionOfUsedMemoryDirty()
def lastAccessTime(self):
return self._opCache.lastAccessTime()
def setupOutputs(self):
if self.BlockShape.ready():
self._opCache.BlockShape.setValue(self.BlockShape.value)
else:
# By default, block shape is the same as the entire image shape,
# but only 1 time slice and 1 channel slice
taggedBlockShape = self.Input.meta.getTaggedShape()
taggedBlockShape['t'] = 1
taggedBlockShape['c'] = 1
self._opCache.BlockShape.setValue(tuple(taggedBlockShape.values()))
def execute(self, slot, subindex, roi, destination):
assert False, "Shouldn't get here."
def propagateDirty(self, slot, subindex, roi):
pass # Nothing to do...
def setInSlot(self, slot, subindex, roi, value):
assert slot == self.Input or slot == self.InputHdf5, "Invalid slot for setInSlot(): {}".format(
slot.name)