Mercurial > ift6266

annotate datasets/defs.py @ 203:fd1b5237e49e

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Actual script used to launch images generation on 4 machines
author boulanni <nicolas_boulanger@hotmail.com>
date Thu, 04 Mar 2010 00:54:12 -0500
parents f0f47b045cbf
children 476da2ba6a12
rev   line source
181
f0f47b045cbf Remove a stray cast in the FTDataSet code and export the ocr dataset.
Arnaud Bergeron <abergeron@gmail.com>
parents: 180
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1 __all__ = ['nist_digits', 'nist_lower', 'nist_upper', 'nist_all', 'ocr']
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4b28d7382dbf Add inital implementation of datasets.
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parents:
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2
4b28d7382dbf Add inital implementation of datasets.
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3 from ftfile import FTDataSet
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76bc047df5ee Add dtype conversion and rescaling to the read path.
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4 import theano
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5
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224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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6 NIST_PATH = '/data/lisa/data/nist/by_class/'
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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7 DATA_PATH = '/data/lisa/data/ift6266h10/'
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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8
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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9 nist_digits = FTDataSet(train_data = [NIST_PATH+'digits/digits_train_data.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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10 train_lbl = [NIST_PATH+'digits/digits_train_labels.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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11 test_data = [NIST_PATH+'digits/digits_test_data.ft'],
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parents: 175
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12 test_lbl = [NIST_PATH+'digits/digits_test_labels.ft'],
76bc047df5ee Add dtype conversion and rescaling to the read path.
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parents: 175
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13 indtype=theano.config.floatX, inscale=255.)
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224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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14 nist_lower = FTDataSet(train_data = [NIST_PATH+'lower/lower_train_data.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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15 train_lbl = [NIST_PATH+'lower/lower_train_labels.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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16 test_data = [NIST_PATH+'lower/lower_test_data.ft'],
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76bc047df5ee Add dtype conversion and rescaling to the read path.
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parents: 175
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17 test_lbl = [NIST_PATH+'lower/lower_test_labels.ft'],
76bc047df5ee Add dtype conversion and rescaling to the read path.
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parents: 175
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18 indtype=theano.config.floatX, inscale=255.)
175
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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19 nist_upper = FTDataSet(train_data = [NIST_PATH+'upper/upper_train_data.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
20 train_lbl = [NIST_PATH+'upper/upper_train_labels.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
21 test_data = [NIST_PATH+'upper/upper_test_data.ft'],
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76bc047df5ee Add dtype conversion and rescaling to the read path.
Arnaud Bergeron <abergeron@gmail.com>
parents: 175
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22 test_lbl = [NIST_PATH+'upper/upper_test_labels.ft'],
76bc047df5ee Add dtype conversion and rescaling to the read path.
Arnaud Bergeron <abergeron@gmail.com>
parents: 175
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23 indtype=theano.config.floatX, inscale=255.)
163
4b28d7382dbf Add inital implementation of datasets.
Arnaud Bergeron <abergeron@gmail.com>
parents:
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24
175
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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25 nist_all = FTDataSet(train_data = [DATA_PATH+'train_data.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
26 train_lbl = [DATA_PATH+'train_labels.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
27 test_data = [DATA_PATH+'test_data.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
28 test_lbl = [DATA_PATH+'test_labels.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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29 valid_data = [DATA_PATH+'valid_data.ft'],
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76bc047df5ee Add dtype conversion and rescaling to the read path.
Arnaud Bergeron <abergeron@gmail.com>
parents: 175
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30 valid_lbl = [DATA_PATH+'valid_labels.ft'],
76bc047df5ee Add dtype conversion and rescaling to the read path.
Arnaud Bergeron <abergeron@gmail.com>
parents: 175
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31 indtype=theano.config.floatX, inscale=255.)
175
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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32
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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33 ocr = FTDataSet(train_data = [DATA_PATH+'ocr_train_data.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
34 train_lbl = [DATA_PATH+'ocr_train_labels.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
35 test_data = [DATA_PATH+'ocr_test_data.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
36 test_lbl = [DATA_PATH+'ocr_test_labels.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
37 valid_data = [DATA_PATH+'ocr_valid_data.ft'],
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
diff changeset
38 valid_lbl = [DATA_PATH+'ocr_valid_labels.ft'])