Start to implement segmentation correction

scripts/segmentation/correction/correct_false_merges.py

+import os
+import napari
+from elf.io import open_file
+
+
+# TODO
+# correct false merges via lifted multicut (or watershed)
+# load raw data, watershed from bounding box for correction id
+# load sub-graph for nodes corresponding to this segment
+# (this takes long, so preload 5 or so via daemon process)
+# add layer for seeds, resolve the segment via lmc (or watershed)
+# once happy, store the new ids and move on to the next
+class CorrectFalseMerges:
+    def __init__(self, project_folder,
+                 correct_id_path=None, table_path=None,
+                 raw_path=None, raw_key=None,
+                 ws_path=None, ws_key=None,
+                 node_label_path=None, node_label_key=None,
+                 problem_path=None, graph_key=None, cost_key=None):
+        pass
+
+    def __call__(self):
+        pass

scripts/segmentation/correction/mark_false_merges.py

+import os
+import json
+import napari
+from elf.io import open_file
+
+
+# TODO
+# mark false merges in segmentation:
+# open napari viewer with raw data and segmentation (in appropriate res)
+# set annotations in 'has_false_merge' and 'is_correct' layer
+# clear segmentations that have an annotation (upon key press)
+# store annotations in the project folder
+class MarkFalseMerges:
+    def __init__(self, project_folder,
+                 raw_path=None, raw_key=None,
+                 seg_path=None, seg_key=None):
+        pass
+
+    def __call__(self):
+        pass