# 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()
del(seg)
# playground
if processing['playground'] == 1:
seg = Segmentation(selected_info)
seg.load()
"""
print('TEST LOCAL DENSITY')
density_map = np.zeros_like(seg.stacks.lamin[0])
# import classes
from storage.image import ImageHandler
from processing.segmentation import Segmentation
# load image infos
image_infos = ImageHandler.load_image_infos()
revs_to_merge = list()
# apply defined filters to images
for image_info in image_infos:
# revision? then skip
if Segmentation.is_revision_by_ID(image_info['ID']):
revs_to_merge.append(Segmentation.extract_rev_from_ID(image_info['ID']))
else:
# initialise segmentation
segmentation = Segmentation(image_info)
# load results
segmentation.load()
# merge
for rev in revs_to_merge:
segmentation.merge_parent_with_rev(rev)
# save merge
segmentation.save_merge_segmentation()
# reset revs to merge
revs_to_merge = list()