def test06(self):
"""
Test the basic functionality of the v0.6 project format serializer.
"""
# Create an empty project
with h5py.File(self.testProjectName) as testProject:
testProject.create_dataset("ilastikVersion", data=b"1.0.0")
##
## Serialization
##
# Create an operator to work with and give it some input
graph = Graph()
groupName = 'DataSelectionTest'
info = self._createDatasetInfo()
operatorToSave = self._createOperatorToSave(graph, testProject,
info, groupName)
serializer = DataSelectionSerializer(operatorToSave, groupName)
assert serializer.base_initialized
# Now serialize!
serializer.serializeToHdf5(testProject, self.testProjectName)
# Check for dataset existence
datasetInternalPath = serializer.topGroupName + '/local_data/' + info.datasetId
dataset = testProject[datasetInternalPath][...]
# Check axistags attribute
assert 'axistags' in testProject[datasetInternalPath].attrs
axistags_json = testProject[datasetInternalPath].attrs['axistags']
axistags = vigra.AxisTags.fromJSON(axistags_json)
originalShape = operatorToSave.Image[0].meta.shape
originalAxisTags = operatorToSave.Image[0].meta.axistags
# Now we can directly compare the shape and axis ordering
assert dataset.shape == originalShape
assert axistags == originalAxisTags
##
## Deserialization
##
# Create an empty operator
graph = Graph()
operatorToLoad = OpMultiLaneDataSelectionGroup( graph=graph )
operatorToLoad.DatasetRoles.setValue( ['Raw Data'] )
deserializer = DataSelectionSerializer(operatorToLoad, serializer.topGroupName) # Copy the group name from the serializer we used.
assert deserializer.base_initialized
deserializer.deserializeFromHdf5(testProject, self.testProjectName)
assert len(operatorToLoad.DatasetGroup) == len(operatorToSave.DatasetGroup)
assert len(operatorToLoad.Image) == len(operatorToSave.Image)
assert operatorToLoad.Image[0].meta.shape == operatorToSave.Image[0].meta.shape
assert operatorToLoad.Image[0].meta.axistags == operatorToSave.Image[0].meta.axistags
def test06(serializer, internal_datasetinfo, empty_project_file, graph):
"""
Test the basic functionality of the v0.6 project format serializer.
"""
serializer.topLevelOperator.DatasetGroup[0][0].setValue(
internal_datasetinfo)
empty_project_file.create_dataset("ilastikVersion", data=b"1.0.0")
serializer.serializeToHdf5(empty_project_file, empty_project_file.filename)
# Check for dataset existence
dataset = empty_project_file[internal_datasetinfo.inner_path]
# Check axistags attribute
assert "axistags" in dataset.attrs
axistags_json = empty_project_file[
internal_datasetinfo.inner_path].attrs["axistags"]
axistags = vigra.AxisTags.fromJSON(axistags_json)
originalShape = serializer.topLevelOperator.Image[0].meta.shape
originalAxisTags = serializer.topLevelOperator.Image[0].meta.axistags
# Now we can directly compare the shape and axis ordering
assert dataset.shape == originalShape
assert axistags == originalAxisTags
# Create an empty operator
operatorToLoad = OpMultiLaneDataSelectionGroup(graph=graph)
operatorToLoad.DatasetRoles.setValue(["Raw Data"])
deserializer = DataSelectionSerializer(
operatorToLoad, serializer.topGroupName
) # Copy the group name from the serializer we used.
assert deserializer.base_initialized
deserializer.deserializeFromHdf5(empty_project_file,
empty_project_file.filename)
assert len(operatorToLoad.DatasetGroup) == len(
serializer.topLevelOperator.DatasetGroup)
assert len(operatorToLoad.Image) == len(serializer.topLevelOperator.Image)
assert operatorToLoad.Image[
0].meta.shape == serializer.topLevelOperator.Image[0].meta.shape
assert operatorToLoad.Image[
0].meta.axistags == serializer.topLevelOperator.Image[0].meta.axistags
def testShapeAndDtypeSerialization(self):
"""
Test the serialization of additional shape and dtype attributes added
in order to re-create the metadata in headless mode with no raw data
"""
# Create an empty project
with h5py.File(self.testProjectName) as testProject:
# Create an operator to work with and give it some input
graph = Graph()
groupName = 'DataSelectionTest'
info = self._createDatasetInfo()
operatorToSave = self._createOperatorToSave(
graph, testProject, info, groupName)
# Serialize
serializer = DataSelectionSerializer(operatorToSave, groupName)
serializer.serializeToHdf5(testProject, self.testProjectName)
# Assert lane's dtype and shape attributes exist
rawDataPath = groupName + '/infos/lane0000/Raw Data'
assert 'shape' in testProject[rawDataPath]
assert 'dtype' in testProject[rawDataPath]
# Assert their values are correct
assert tuple(testProject[
rawDataPath +
'/shape'].value) == operatorToSave.Image[0].meta.shape
assert numpy.dtype(
testProject[rawDataPath + '/dtype'].value.decode(
'utf-8')) == operatorToSave.Image[0].meta.dtype
# Deserialize and check datasetInfo
graph = Graph()
operatorToLoad = OpMultiLaneDataSelectionGroup(graph=graph)
operatorToLoad.DatasetRoles.setValue(['Raw Data'])
deserializer = DataSelectionSerializer(operatorToLoad, groupName)
deserializer.deserializeFromHdf5(testProject, self.testProjectName)
datasetInfo = operatorToLoad.DatasetGroup[0][0][:].wait()[0]
assert datasetInfo.laneShape == operatorToLoad.Image[0].meta.shape
assert datasetInfo.laneDtype == operatorToLoad.Image[0].meta.dtype
def testShapeAndDtypeSerialization(self):
"""
Test the serialization of additional shape and dtype attributes added
in order to re-create the metadata in headless mode with no raw data
"""
# Create an empty project
with h5py.File(self.testProjectName) as testProject:
# Create an operator to work with and give it some input
graph = Graph()
groupName = 'DataSelectionTest'
info = self._createDatasetInfo()
operatorToSave = self._createOperatorToSave(graph, testProject,
info, groupName)
# Serialize
serializer = DataSelectionSerializer(operatorToSave, groupName)
serializer.serializeToHdf5(testProject, self.testProjectName)
# Assert lane's dtype and shape attributes exist
rawDataPath = groupName + '/infos/lane0000/Raw Data'
assert 'shape' in testProject[rawDataPath]
assert 'dtype' in testProject[rawDataPath]
# Assert their values are correct
assert tuple(testProject[rawDataPath + '/shape'].value) == operatorToSave.Image[0].meta.shape
assert numpy.dtype(testProject[rawDataPath + '/dtype'].value.decode('utf-8')) == operatorToSave.Image[0].meta.dtype
# Deserialize and check datasetInfo
graph = Graph()
operatorToLoad = OpMultiLaneDataSelectionGroup(graph=graph)
operatorToLoad.DatasetRoles.setValue(['Raw Data'])
deserializer = DataSelectionSerializer(operatorToLoad, groupName)
deserializer.deserializeFromHdf5(testProject, self.testProjectName)
datasetInfo = operatorToLoad.DatasetGroup[0][0][:].wait()[0]
assert datasetInfo.laneShape == operatorToLoad.Image[0].meta.shape
assert datasetInfo.laneDtype == operatorToLoad.Image[0].meta.dtype
def test06(self):
"""
Test the basic functionality of the v0.6 project format serializer.
"""
# Create an empty project
with h5py.File(self.testProjectName) as testProject:
testProject.create_dataset("ilastikVersion", data=0.6)
##
## Serialization
##
# Create an operator to work with and give it some input
graph = Graph()
operatorToSave = OpMultiLaneDataSelectionGroup(graph=graph)
serializer = DataSelectionSerializer(operatorToSave,
'DataSelectionTest')
assert serializer.base_initialized
operatorToSave.ProjectFile.setValue(testProject)
operatorToSave.WorkingDirectory.setValue(
os.path.split(__file__)[0])
operatorToSave.ProjectDataGroup.setValue(serializer.topGroupName +
'/local_data')
info = DatasetInfo()
info.filePath = self.tmpFilePath
info.location = DatasetInfo.Location.ProjectInternal
operatorToSave.DatasetRoles.setValue(['Raw Data'])
operatorToSave.DatasetGroup.resize(1)
operatorToSave.DatasetGroup[0][0].setValue(info)
# Now serialize!
serializer.serializeToHdf5(testProject, self.testProjectName)
# Check for dataset existence
datasetInternalPath = serializer.topGroupName + '/local_data/' + info.datasetId
dataset = testProject[datasetInternalPath][...]
# Check axistags attribute
assert 'axistags' in testProject[datasetInternalPath].attrs
axistags_json = testProject[datasetInternalPath].attrs['axistags']
axistags = vigra.AxisTags.fromJSON(axistags_json)
# Debug info...
#logging.basicConfig(level=logging.DEBUG)
logger.debug('dataset.shape = ' + str(dataset.shape))
logger.debug('should be ' +
str(operatorToSave.Image[0].meta.shape))
logger.debug('dataset axistags:')
logger.debug(axistags)
logger.debug('should be:')
logger.debug(operatorToSave.Image[0].meta.axistags)
originalShape = operatorToSave.Image[0].meta.shape
originalAxisTags = operatorToSave.Image[0].meta.axistags
# Now we can directly compare the shape and axis ordering
assert dataset.shape == originalShape
assert axistags == originalAxisTags
##
## Deserialization
##
# Create an empty operator
graph = Graph()
operatorToLoad = OpMultiLaneDataSelectionGroup(graph=graph)
operatorToLoad.DatasetRoles.setValue(['Raw Data'])
deserializer = DataSelectionSerializer(
operatorToLoad, serializer.topGroupName
) # Copy the group name from the serializer we used.
assert deserializer.base_initialized
deserializer.deserializeFromHdf5(testProject, self.testProjectName)
assert len(operatorToLoad.DatasetGroup) == len(
operatorToSave.DatasetGroup)
assert len(operatorToLoad.Image) == len(operatorToSave.Image)
assert operatorToLoad.Image[0].meta.shape == operatorToSave.Image[
0].meta.shape
assert operatorToLoad.Image[
0].meta.axistags == operatorToSave.Image[0].meta.axistags
os.remove(self.testProjectName)
def test06(self):
"""
Test the basic functionality of the v0.6 project format serializer.
"""
# Create an empty project
with h5py.File(self.testProjectName) as testProject:
testProject.create_dataset("ilastikVersion", data="1.0.0")
##
## Serialization
##
# Create an operator to work with and give it some input
graph = Graph()
operatorToSave = OpMultiLaneDataSelectionGroup( graph=graph )
serializer = DataSelectionSerializer(operatorToSave, 'DataSelectionTest')
assert serializer.base_initialized
operatorToSave.ProjectFile.setValue(testProject)
operatorToSave.WorkingDirectory.setValue( os.path.split(__file__)[0] )
operatorToSave.ProjectDataGroup.setValue( serializer.topGroupName + '/local_data' )
info = DatasetInfo()
info.filePath = self.tmpFilePath
info.location = DatasetInfo.Location.ProjectInternal
operatorToSave.DatasetRoles.setValue( ['Raw Data'] )
operatorToSave.DatasetGroup.resize(1)
operatorToSave.DatasetGroup[0][0].setValue(info)
# Now serialize!
serializer.serializeToHdf5(testProject, self.testProjectName)
# Check for dataset existence
datasetInternalPath = serializer.topGroupName + '/local_data/' + info.datasetId
dataset = testProject[datasetInternalPath][...]
# Check axistags attribute
assert 'axistags' in testProject[datasetInternalPath].attrs
axistags_json = testProject[datasetInternalPath].attrs['axistags']
axistags = vigra.AxisTags.fromJSON(axistags_json)
# Debug info...
#logging.basicConfig(level=logging.DEBUG)
logger.debug('dataset.shape = ' + str(dataset.shape))
logger.debug('should be ' + str(operatorToSave.Image[0].meta.shape))
logger.debug('dataset axistags:')
logger.debug(axistags)
logger.debug('should be:')
logger.debug(operatorToSave.Image[0].meta.axistags)
originalShape = operatorToSave.Image[0].meta.shape
originalAxisTags = operatorToSave.Image[0].meta.axistags
# Now we can directly compare the shape and axis ordering
assert dataset.shape == originalShape
assert axistags == originalAxisTags
##
## Deserialization
##
# Create an empty operator
graph = Graph()
operatorToLoad = OpMultiLaneDataSelectionGroup( graph=graph )
operatorToLoad.DatasetRoles.setValue( ['Raw Data'] )
deserializer = DataSelectionSerializer(operatorToLoad, serializer.topGroupName) # Copy the group name from the serializer we used.
assert deserializer.base_initialized
deserializer.deserializeFromHdf5(testProject, self.testProjectName)
assert len(operatorToLoad.DatasetGroup) == len(operatorToSave.DatasetGroup)
assert len(operatorToLoad.Image) == len(operatorToSave.Image)
assert operatorToLoad.Image[0].meta.shape == operatorToSave.Image[0].meta.shape
assert operatorToLoad.Image[0].meta.axistags == operatorToSave.Image[0].meta.axistags
os.remove(self.testProjectName)
def test06(self):
"""
Test the basic functionality of the v0.6 project format serializer.
"""
# Create an empty project
with h5py.File(self.testProjectName) as testProject:
testProject.create_dataset("ilastikVersion", data=b"1.0.0")
##
## Serialization
##
# Create an operator to work with and give it some input
graph = Graph()
groupName = 'DataSelectionTest'
info = self._createDatasetInfo()
operatorToSave = self._createOperatorToSave(
graph, testProject, info, groupName)
serializer = DataSelectionSerializer(operatorToSave, groupName)
assert serializer.base_initialized
# Now serialize!
serializer.serializeToHdf5(testProject, self.testProjectName)
# Check for dataset existence
datasetInternalPath = serializer.topGroupName + '/local_data/' + info.datasetId
dataset = testProject[datasetInternalPath][...]
# Check axistags attribute
assert 'axistags' in testProject[datasetInternalPath].attrs
axistags_json = testProject[datasetInternalPath].attrs['axistags']
axistags = vigra.AxisTags.fromJSON(axistags_json)
originalShape = operatorToSave.Image[0].meta.shape
originalAxisTags = operatorToSave.Image[0].meta.axistags
# Now we can directly compare the shape and axis ordering
assert dataset.shape == originalShape
assert axistags == originalAxisTags
##
## Deserialization
##
# Create an empty operator
graph = Graph()
operatorToLoad = OpMultiLaneDataSelectionGroup(graph=graph)
operatorToLoad.DatasetRoles.setValue(['Raw Data'])
deserializer = DataSelectionSerializer(
operatorToLoad, serializer.topGroupName
) # Copy the group name from the serializer we used.
assert deserializer.base_initialized
deserializer.deserializeFromHdf5(testProject, self.testProjectName)
assert len(operatorToLoad.DatasetGroup) == len(
operatorToSave.DatasetGroup)
assert len(operatorToLoad.Image) == len(operatorToSave.Image)
assert operatorToLoad.Image[0].meta.shape == operatorToSave.Image[
0].meta.shape
assert operatorToLoad.Image[
0].meta.axistags == operatorToSave.Image[0].meta.axistags