Mercurial > ift6266

annotate datasets/defs.py @ 180:76bc047df5ee

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Add dtype conversion and rescaling to the read path.
author Arnaud Bergeron <abergeron@gmail.com>
date Sat, 27 Feb 2010 16:50:16 -0500
parents 224321bf043a
children f0f47b045cbf
rev   line source
164
e3de934a98b6 Add nist_lower, nist_upper, nist_all
Arnaud Bergeron <abergeron@gmail.com>
parents: 163
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1 __all__ = ['nist_digits', 'nist_lower', 'nist_upper', 'nist_all']
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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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224321bf043a Define the ocr dataset and use the existing split for nist.
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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.
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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.
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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.
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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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18 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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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.
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parents: 164
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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
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21 test_data = [NIST_PATH+'upper/upper_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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22 test_lbl = [NIST_PATH+'upper/upper_test_labels.ft'],
76bc047df5ee Add dtype conversion and rescaling to the read path.
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parents: 175
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23 indtype=theano.config.floatX, inscale=255.)
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parents:
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24
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224321bf043a Define the ocr dataset and use the existing split for nist.
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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.
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parents: 164
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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
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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
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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
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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
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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
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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'])