most_likely_1 = percentage.index(max(percentage))
most_likely_2 = EM_percentage.index(max(EM_percentage))
if most_likely_1 != most_likely_2:
zooniverse_id,(centerX,centerY) = results[ii]
print "&&&&&"
print ii
print percentage
print EM_percentage
print animal_votes[ii]
print plurality_vote[ii]
print "----"
classify.__getStats__(ii)
subject = subject_collection.find_one({"zooniverse_id":zooniverse_id})
url = subject["location"]["standard"]
slash_index = url.rfind("/")
object_id = url[slash_index+1:]
if not(os.path.isfile(base_directory+"/Databases/condors/images/"+object_id)):
urllib.urlretrieve (url, base_directory+"/Databases/condors/images/"+object_id)
image_file = cbook.get_sample_data(base_directory+"/Databases/condors/images/"+object_id)
image = plt.imread(image_file)
fig, ax = plt.subplots()
im = ax.imshow(image)
plt.plot([centerX,],[centerY,],'o')
]
EM_percentage = estimates[ii]
most_likely_1 = percentage.index(max(percentage))
most_likely_2 = EM_percentage.index(max(EM_percentage))
if most_likely_1 != most_likely_2:
zooniverse_id, (centerX, centerY) = results[ii]
print "&&&&&"
print ii
print percentage
print EM_percentage
print animal_votes[ii]
print plurality_vote[ii]
print "----"
classify.__getStats__(ii)
subject = subject_collection.find_one({"zooniverse_id": zooniverse_id})
url = subject["location"]["standard"]
slash_index = url.rfind("/")
object_id = url[slash_index + 1:]
if not (os.path.isfile(base_directory + "/Databases/condors/images/" +
object_id)):
urllib.urlretrieve(
url, base_directory + "/Databases/condors/images/" + object_id)
image_file = cbook.get_sample_data(base_directory +
"/Databases/condors/images/" +
object_id)
image = plt.imread(image_file)
