def get_filters(image):
"""
Retrieve filters for image from configuration
:param image:
:return:
"""
# processing steps for image
processing_steps = list()
with open(cfg.file_processing, 'r') as csvfile:
image_reader = csv.reader(csvfile,
delimiter=cfg.CSV_DEL,
quotechar=cfg.CSV_QUOT)
# find filters for image
for row in image_reader:
if row[0] == ImageHandler.extract_expnum_from_ID(image['ID']):
for filter in range(1, len(row)):
# get filter and parameters
split_filter = row[filter].split(cfg.PROC_PARAMS)
# build the filter and parameter list
steps = list()
steps.append(split_filter[0])
# Does the filter have parameters?
if len(split_filter) > 1:
# split parameters
split_params = split_filter[1].split(
cfg.PROC_PARAMS_DEL)
for param in split_params:
# is parameter a digit?
if param.isdigit():
param = int(param)
steps.append(param)
processing_steps.append(steps)
break
csvfile.close()
return processing_steps
clf = Classifier(seg)
clf.train_with_exts()
# save
clf.save_classifier()
seg.save()
del(seg)
del(clf)
# merge revisions
if processing['rev_merge'] == 2:
print('=== Merge revision ===')
# get revs from ID
revs_to_merge = ImageHandler.get_revs_by_expnum(
ImageHandler.extract_expnum_from_ID(selected_info['ID'])
)
# go through and merge revs with parent
seg = Segmentation(selected_info)
seg.load()
# merge
for rev_info in revs_to_merge:
print(rev_info['ID'])
seg.merge_parent_with_rev(rev_info)
# save merge
seg.save_merge_segmentation()
seg.save()