def segmentation(self, image_in, session_id, model):
logging.debug('Preparing input data for segmentation')
self.reportProgress(0)
result_file = tempfile.NamedTemporaryFile(suffix=self.outputFileExtension(), dir=self.aiaa_tmpdir).name
aiaaClient = AIAAClient(self.server_url)
params = aiaaClient.segmentation(model, image_in, result_file, session_id=session_id)
extreme_points = params.get('points', params.get('extreme_points'))
logging.debug('Extreme Points: {}'.format(extreme_points))
self.reportProgress(100)
return extreme_points, result_file
class AIAALogic():
def __init__(self,
server_url=None,
server_version=None,
progress_callback=None):
self.aiaa_tmpdir = slicer.util.tempDirectory('slicer-aiaa')
self.volumeToImageFiles = dict()
self.progress_callback = progress_callback
self.useCompression = True
# Create Single AIAA Client Instance
self.aiaaClient = AIAAClient()
self.setServer(server_url, server_version)
def __del__(self):
shutil.rmtree(self.aiaa_tmpdir, ignore_errors=True)
def inputFileExtension(self):
return ".nii.gz" if self.useCompression else ".nii"
def outputFileExtension(self):
# output is currently always generated as .nii.gz
return ".nii.gz"
def setServer(self, server_url=None, server_version=None):
if not server_url:
server_url = 'http://0.0.0.0:5000'
if not server_version:
server_version = 'v1'
logging.debug('Using AIAA server {}: {}'.format(
server_version, server_url))
self.aiaaClient.server_url = server_url
self.aiaaClient.api_version = server_version
def setUseCompression(self, useCompression):
self.useCompression = useCompression
def setProgressCallback(self, progress_callback=None):
self.progress_callback = progress_callback
def reportProgress(self, progress):
if self.progress_callback:
self.progress_callback(progress)
def list_models(self, label=None):
#self.reportProgress(0)
logging.debug('Fetching List of Models for label: {}'.format(label))
result = self.aiaaClient.model_list(label)
#self.reportProgress(100)
return result
def nodeCacheKey(self, mrmlNode):
return mrmlNode.GetID() + "*" + str(mrmlNode.GetMTime())
def segmentation(self, model, inputVolume):
logging.debug('Preparing input data for segmentation')
self.reportProgress(0)
in_file = self.volumeToImageFiles.get(self.nodeCacheKey(inputVolume))
if in_file is None:
# No cached file
in_file = tempfile.NamedTemporaryFile(
suffix=self.inputFileExtension(), dir=self.aiaa_tmpdir).name
self.reportProgress(5)
start = time.time()
slicer.util.saveNode(inputVolume, in_file)
logging.info('Saved Input Node into {0} in {1:3.1f}s'.format(
in_file,
time.time() - start))
self.volumeToImageFiles[self.nodeCacheKey(inputVolume)] = in_file
else:
logging.debug('Using cached image file: {}'.format(in_file))
self.reportProgress(30)
result_file = tempfile.NamedTemporaryFile(
suffix=self.outputFileExtension(), dir=self.aiaa_tmpdir).name
params = self.aiaaClient.segmentation(model,
in_file,
result_file,
save_doc=False)
extreme_points = params.get('points', params.get('extreme_points'))
logging.debug('Extreme Points: {}'.format(extreme_points))
self.reportProgress(100)
return extreme_points, result_file
def dextr3d(self, model, pointset, inputVolume, modelInfo):
self.reportProgress(0)
logging.debug('Preparing for Annotation/Dextr3D Action')
node_id = inputVolume.GetID()
in_file = self.volumeToImageFiles.get(self.nodeCacheKey(inputVolume))
logging.debug('Node Id: {} => {}'.format(node_id, in_file))
if in_file is None:
in_file = tempfile.NamedTemporaryFile(
suffix=self.inputFileExtension(), dir=self.aiaa_tmpdir).name
self.reportProgress(5)
start = time.time()
slicer.util.saveNode(inputVolume, in_file)
logging.info('Saved Input Node into {0} in {1:3.1f}s'.format(
in_file,
time.time() - start))
self.volumeToImageFiles[self.nodeCacheKey(inputVolume)] = in_file
else:
logging.debug('Using Saved Node from: {}'.format(in_file))
self.reportProgress(30)
# Pre Process
pad = 20
roi_size = '128x128x128'
if (modelInfo is not None) and ('padding' in modelInfo):
pad = modelInfo['padding']
roi_size = 'x'.join(map(str, modelInfo['roi']))
result_file = tempfile.NamedTemporaryFile(
suffix=self.outputFileExtension(), dir=self.aiaa_tmpdir).name
self.aiaaClient.dextr3d(model, pointset, in_file, result_file, pad,
roi_size)
self.reportProgress(100)
return result_file