Python PenguinAggregation.__get_subjects_per_site__ Exemples

Exemple #1

Fichier : penguinScript1.py Projet : JiaminXuan/aggregation

#!/usr/bin/env python
__author__ = 'ggdhines'
from penguinAggregation import PenguinAggregation
import random
import os
import sys

# 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__

penguin = PenguinAggregation()
subject_ids = penguin.__get_subjects_per_site__("APZ00035mv",complete=True,remove_blanks=True)

for i,subject in enumerate(random.sample(subject_ids,50)):
    print i
    penguin.__readin_subject__(subject)
    blankImage = penguin.__cluster_subject__(subject, clusterAlg)

    if not blankImage:
        penguin.__save_raw_markings__(subject)
        break

Exemple #2

import random
import os
import sys

# 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__

penguin = PenguinAggregation()
zooniverse_id_list = random.sample(
    penguin.__get_subjects_per_site__("APZ0001x3p"), 40)

for i, zooniverse_id in enumerate(zooniverse_id_list):
    print i
    penguin.__readin_subject__(zooniverse_id)
    blankImage = penguin.__cluster_subject__(zooniverse_id, clusterAlg)

    if not blankImage:
        print "+--"
        penguin.__find_closest_neighbour__(zooniverse_id)

#penguin.__plot_cluster_size__(zooniverse_id_list)
penguin.__find_one__(zooniverse_id_list)

Exemple #3

Fichier : penguinScript2.py Projet : JiaminXuan/aggregation

from penguinAggregation import PenguinAggregation
import random
import os
import sys

# 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__

penguin = PenguinAggregation()
zooniverse_id_list = random.sample(penguin.__get_subjects_per_site__("APZ0001x3p"),40)

for i,zooniverse_id in enumerate(zooniverse_id_list):
    print i
    penguin.__readin_subject__(zooniverse_id)
    blankImage = penguin.__cluster_subject__(zooniverse_id, clusterAlg)

    if not blankImage:
        print "+--"
        penguin.__find_closest_neighbour__(zooniverse_id)

#penguin.__plot_cluster_size__(zooniverse_id_list)
penguin.__find_one__(zooniverse_id_list)

Exemple #4

#!/usr/bin/env python
__author__ = 'ggdhines'
from penguinAggregation import PenguinAggregation
import random
import os
import sys

# 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__

penguin = PenguinAggregation()
subject_ids = penguin.__get_subjects_per_site__("APZ00035mv",
                                                complete=True,
                                                remove_blanks=True)

for i, subject in enumerate(random.sample(subject_ids, 50)):
    print i
    penguin.__readin_subject__(subject)
    blankImage = penguin.__cluster_subject__(subject, clusterAlg)

    if not blankImage:
        penguin.__save_raw_markings__(subject)
        break