def random_show_cluster(landmarks_urls_list, label, cluster_index):
from dir_processing import DirProcessing
from file_op import FileOp
from visualization import Visualization
sample_list = np.where(label == cluster_index)[0]
sample_list = np.random.permutation(sample_list)
print len(sample_list)
landmarks_urls_sublist = []
for i in sample_list:
landmarks_urls_sublist.append(landmarks_urls_list[i])
img_urls_sublist = DirProcessing.generate_img_urls_from_landmarks_urls(landmarks_urls_sublist)
Visualization.draw_landmarks_on_sequence(img_urls_sublist)
