while npp.get_estimated_num_remaining_edges() > 0:
priority_info = npp.get_next_edge()
xyzlocation = priority_info.location
(body1, body2) = priority_info.body_pair
# proofread body pair at location
npp.set_edge_result(priority_info.body_pair, decision%2)
decision+=1
num_examined += 1
undo += 1
if not undo%5:
status = npp.undo()
decision -= 1
num_examined -= 1
if not status:
print("Won't undo")
decision += 1
num_examined += 1
else:
num_undo += 1
#npp.set_synapse_mode(0.1)
print(("Num synapse ", num_examined))
print(("Num undo: ", num_undo))
# dump graph
npp.export_priority_scheduler(sys.argv[2])
tempfile = open(sys.argv[2])
tempout = tempfile.read()
print("SUCCESS")
#!/usr/bin/python
import libNeuroProofPriority as npp
status = npp.initialize_priority_scheduler("examples/graph.json", .1, .9, .5)
num_examined = 0
if status:
while npp.get_estimated_num_remaining_edges() > 0:
priority_info = npp.get_next_edge()
xyzlocation = priority_info.location
(body1, body2) = priority_info.body_pair
# proofread body pair at location
npp.set_edge_result(priority_info.body_pair, 1.0)
num_examined += 1
print "Num examined: " , num_examined
npp.export_priority_scheduler("output.json")
if not status:
exit(1)
npp.set_edge_mode(0.1, 0.9, 0.5)
while npp.get_estimated_num_remaining_edges() > 0:
priority_info = npp.get_next_edge()
xyzlocation = priority_info.location
(body1, body2) = priority_info.body_pair
# proofread body pair at location
npp.set_edge_result(priority_info.body_pair, False)
num_examined += 1
if num_examined != 610:
exit(1)
npp.export_priority_scheduler(sys.argv[2])
tempfile = open(sys.argv[2])
groundfile = open(sys.argv[3])
tempout = tempfile.read()
groundout = groundfile.read()
if tempout != groundout:
exit(1)
print "SUCCESS"
groundtruth_path = sys.argv[3]
status = npp.initialize_priority_scheduler(graph_json, .1, .9, .5)
assert status, "initialize_priority_scheduler() failed."
npp.set_edge_mode(0.1, 0.9, 0.5)
num_examined = 0
while npp.get_estimated_num_remaining_edges() > 0:
priority_info = npp.get_next_edge()
xyzlocation = priority_info.location
(body1, body2) = priority_info.body_pair
# proofread body pair at location
npp.set_edge_result(priority_info.body_pair, False)
num_examined += 1
assert num_examined == 610
npp.export_priority_scheduler(output_path)
tempout = open(output_path).read()
groundout = open(groundtruth_path).read()
assert tempout == groundout, \
"Computed output ({}) doesn't match golden output ({})."\
.format(output_path, groundtruth_path)
print("SUCCESS")
