In [30]:

    

import os
from numpy import *
import object_correspondences as oc
import imagenet_datasets as id


    

In [8]:

    

eitz_synsets = id.get_list_of_eitz_synsets()


    

In [9]:

    

imagenet_to_labels = id.build_imagenet_to_labels_dict()


    

In [15]:

    

labels = []
synsets = list(eitz_synsets)
for i, s in enumerate(synsets):
    label = imagenet_to_labels[s]
    deborked_dict = id.deborkify_eitz_names() # deborkify eitz names in some cases
    label = deborked_dict[label]
    labels.append(label)


    

In [19]:

    

# sorted(labels)


    

In [22]:

    

all_files = os.listdir('/Users/judithfan/imagenet_photos_sketchpad')


    

In [28]:

    

labels  = [a.split('_')[0] for a in all_files]


    

In [31]:

    

uniq_labels = unique(labels)


    

In [33]:

    

len(uniq_labels)


    

    
Out[33]:





34

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