# add the paths necessary for clustering algorithm and ibcc - currently only works on Greg's computer
if os.path.exists("/home/ggdhines"):
sys.path.append("/home/ggdhines/PycharmProjects/reduction/experimental/clusteringAlg")
elif os.path.exists("/Users/greg"):
sys.path.append("/Users/greg/Code/reduction/experimental/clusteringAlg")
else:
sys.path.append("/home/greg/github/reduction/experimental/clusteringAlg")
from divisiveKmeans import DivisiveKmeans
from multiClickCorrect import MultiClickCorrect
clusterAlg = DivisiveKmeans().__fit__
correctionAlg = MultiClickCorrect(overlap_threshold=1,min_cluster_size=2).__fix__
condor = CondorAggregation()
gold_subjects = condor.__get_gold_subjects__()
gold_sample = gold_subjects[:50]
for zooniverse_id in gold_sample:
print zooniverse_id
condor.__load_gold_standard__(zooniverse_id)
condor.__readin_subject__(zooniverse_id)
blankImage = condor.__cluster_subject__(zooniverse_id, clusterAlg,fix_distinct_clusters=True)#,correction_alg=correctionAlg)
condor.__readin_users__()
condor.__signal_ibcc__()
#condor.__roc__()
#condor.__display_false_positives__()
if os.path.exists("/home/ggdhines"):
sys.path.append(
"/home/ggdhines/PycharmProjects/reduction/experimental/clusteringAlg")
elif os.path.exists("/Users/greg"):
sys.path.append("/Users/greg/Code/reduction/experimental/clusteringAlg")
else:
sys.path.append("/home/greg/github/reduction/experimental/clusteringAlg")
from divisiveKmeans import DivisiveKmeans
from multiClickCorrect import MultiClickCorrect
clusterAlg = DivisiveKmeans().__fit__
correctionAlg = MultiClickCorrect(overlap_threshold=1,
min_cluster_size=2).__fix__
condor = CondorAggregation()
gold_subjects = condor.__get_gold_subjects__()
gold_sample = gold_subjects[:50]
for zooniverse_id in gold_sample:
print zooniverse_id
condor.__load_gold_standard__(zooniverse_id)
condor.__readin_subject__(zooniverse_id)
blankImage = condor.__cluster_subject__(
zooniverse_id, clusterAlg,
fix_distinct_clusters=True) #,correction_alg=correctionAlg)
condor.__readin_users__()
condor.__signal_ibcc__()
#!/usr/bin/env python
__author__ = 'greg'
from condorAggregation import CondorAggregation
import os
import sys
import random
# add the paths necessary for clustering algorithm and ibcc - currently only works on Greg's computer
if os.path.exists("/home/ggdhines"):
sys.path.append(
"/home/ggdhines/PycharmProjects/reduction/experimental/clusteringAlg")
else:
sys.path.append("/home/greg/github/reduction/experimental/clusteringAlg")
from divisiveKmeans import DivisiveKmeans
clusterAlg = DivisiveKmeans().__fit__
condor = CondorAggregation()
zooniverse_id_list = random.sample(
condor.__get_subjects_per_site__("ACW000177g"), 40)
for i, zooniverse_id in enumerate(zooniverse_id_list):
print i
condor.__readin_subject__(zooniverse_id)
blankImage = condor.__cluster_subject__(zooniverse_id, clusterAlg)
if not blankImage:
condor.__find_closest_neighbour__(zooniverse_id)
#!/usr/bin/env python
__author__ = 'greg'
from condorAggregation import CondorAggregation
import os
import sys
import random
# add the paths necessary for clustering algorithm and ibcc - currently only works on Greg's computer
if os.path.exists("/home/ggdhines"):
sys.path.append("/home/ggdhines/PycharmProjects/reduction/experimental/clusteringAlg")
else:
sys.path.append("/home/greg/github/reduction/experimental/clusteringAlg")
from divisiveKmeans import DivisiveKmeans
clusterAlg = DivisiveKmeans().__fit__
condor = CondorAggregation()
zooniverse_id_list = random.sample(condor.__get_subjects_per_site__("ACW000177g"),40)
for i,zooniverse_id in enumerate(zooniverse_id_list):
print i
condor.__readin_subject__(zooniverse_id)
blankImage = condor.__cluster_subject__(zooniverse_id, clusterAlg)
if not blankImage:
condor.__find_closest_neighbour__(zooniverse_id)
