Mercurial > pylearn
comparison pylearn/datasets/flickr.py @ 614:f6c74f34cd35
Use usual data_root
author | Pascal Lamblin <lamblinp@iro.umontreal.ca> |
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date | Sat, 17 Jan 2009 00:34:14 -0500 |
parents | 28f7dc848efc |
children | 4a7d413c3425 |
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613:7261e7d6368d | 614:f6c74f34cd35 |
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5 | 5 |
6 import os | 6 import os |
7 import numpy | 7 import numpy |
8 | 8 |
9 from ..io import filetensor | 9 from ..io import filetensor |
10 if 0: | 10 from .config import data_root |
11 from .config import data_root | |
12 else: | |
13 def data_root(): | |
14 return '/u/lisa/db/flickr/filetensor' | |
15 from .dataset import Dataset | 11 from .dataset import Dataset |
16 | 12 |
17 | 13 |
18 path_test_10class ='flickr_10classes_test.ft' | 14 path_test_10class ='flickr_10classes_test.ft' |
19 | 15 |
23 | 19 |
24 def basic_10class(folder = None): | 20 def basic_10class(folder = None): |
25 """Return the basic flickr image classification problem. | 21 """Return the basic flickr image classification problem. |
26 The images are 75x75, and there are 7500 training examples. | 22 The images are 75x75, and there are 7500 training examples. |
27 """ | 23 """ |
28 root = data_root() if folder is None else folder | 24 root = os.path.join(data_root(), 'flickr') if folder is None else folder |
29 train = filetensor.read(open(os.path.join(root, path_train_10class))) | 25 train = filetensor.read(open(os.path.join(root, path_train_10class))) |
30 valid = filetensor.read(open(os.path.join(root, path_valid_10class))) | 26 valid = filetensor.read(open(os.path.join(root, path_valid_10class))) |
31 test = filetensor.read(open(os.path.join(root, path_test_10class))) | 27 test = filetensor.read(open(os.path.join(root, path_test_10class))) |
32 | 28 |
33 rval = Dataset() | 29 rval = Dataset() |