Mercurial > ift6266

annotate datasets/defs.py @ 358:31641a84e0ae

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Initial commit for the experimental setup of the denoising convolutional network
author humel
date Thu, 22 Apr 2010 00:49:42 -0400
parents 22efb4968054
children
rev   line source
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476da2ba6a12 Add nist_P07 datasets to the predefs.
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1 __all__ = ['nist_digits', 'nist_lower', 'nist_upper', 'nist_all', 'ocr',
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2 'nist_P07', 'PNIST07', 'mnist']
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3
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4 from ftfile import FTDataSet
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5 from gzpklfile import GzpklDataSet
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6 import theano
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7 import os
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224321bf043a Define the ocr dataset and use the existing split for nist.
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8
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Dumitru Erhan <dumitru.erhan@gmail.com>
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9 # if the environmental variables exist, get the path from them,
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10 # otherwise fall back on the default
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11 NIST_PATH = os.getenv('NIST_PATH','/data/lisa/data/nist/by_class/')
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12 DATA_PATH = os.getenv('DATA_PATH','/data/lisa/data/ift6266h10/')
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13
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14 nist_digits = lambda maxsize=None: FTDataSet(train_data = [os.path.join(NIST_PATH,'digits/digits_train_data.ft')],
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15 train_lbl = [os.path.join(NIST_PATH,'digits/digits_train_labels.ft')],
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16 test_data = [os.path.join(NIST_PATH,'digits/digits_test_data.ft')],
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Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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17 test_lbl = [os.path.join(NIST_PATH,'digits/digits_test_labels.ft')],
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18 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
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19 nist_lower = lambda maxsize=None: FTDataSet(train_data = [os.path.join(NIST_PATH,'lower/lower_train_data.ft')],
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parents: 222
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20 train_lbl = [os.path.join(NIST_PATH,'lower/lower_train_labels.ft')],
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parents: 222
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21 test_data = [os.path.join(NIST_PATH,'lower/lower_test_data.ft')],
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Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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22 test_lbl = [os.path.join(NIST_PATH,'lower/lower_test_labels.ft')],
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parents: 231
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23 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
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parents: 231
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24 nist_upper = lambda maxsize=None: FTDataSet(train_data = [os.path.join(NIST_PATH,'upper/upper_train_data.ft')],
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Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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25 train_lbl = [os.path.join(NIST_PATH,'upper/upper_train_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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26 test_data = [os.path.join(NIST_PATH,'upper/upper_test_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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27 test_lbl = [os.path.join(NIST_PATH,'upper/upper_test_labels.ft')],
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966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
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parents: 231
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28 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
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29
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Arnaud Bergeron <abergeron@gmail.com>
parents: 231
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30 nist_all = lambda maxsize=None: FTDataSet(train_data = [os.path.join(DATA_PATH,'train_data.ft')],
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Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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31 train_lbl = [os.path.join(DATA_PATH,'train_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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32 test_data = [os.path.join(DATA_PATH,'test_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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33 test_lbl = [os.path.join(DATA_PATH,'test_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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34 valid_data = [os.path.join(DATA_PATH,'valid_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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35 valid_lbl = [os.path.join(DATA_PATH,'valid_labels.ft')],
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966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
diff changeset
36 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
175
224321bf043a Define the ocr dataset and use the existing split for nist.
Arnaud Bergeron <abergeron@gmail.com>
parents: 164
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37
257
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
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38 ocr = lambda maxsize=None: FTDataSet(train_data = [os.path.join(DATA_PATH,'ocr_train_data.ft')],
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6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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39 train_lbl = [os.path.join(DATA_PATH,'ocr_train_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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40 test_data = [os.path.join(DATA_PATH,'ocr_test_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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41 test_lbl = [os.path.join(DATA_PATH,'ocr_test_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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42 valid_data = [os.path.join(DATA_PATH,'ocr_valid_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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43 valid_lbl = [os.path.join(DATA_PATH,'ocr_valid_labels.ft')],
257
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
diff changeset
44 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
211
476da2ba6a12 Add nist_P07 datasets to the predefs.
Arnaud Bergeron <abergeron@gmail.com>
parents: 181
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45
269
4533350d7361 Ajout d'une fonctionnalite pour pouvoir definir un range de fichiers d'entrainement de P07 utilises. Utile pour pre-entrainer et fine-tuner avec des donnees differentes
SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
parents: 257
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46 #There is 2 more arguments here to can choose smaller datasets based on the file number.
4533350d7361 Ajout d'une fonctionnalite pour pouvoir definir un range de fichiers d'entrainement de P07 utilises. Utile pour pre-entrainer et fine-tuner avec des donnees differentes
SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
parents: 257
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47 #This is usefull to get different data for pre-training and finetuning
4533350d7361 Ajout d'une fonctionnalite pour pouvoir definir un range de fichiers d'entrainement de P07 utilises. Utile pour pre-entrainer et fine-tuner avec des donnees differentes
SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
parents: 257
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48 nist_P07 = lambda maxsize=None, min_file=0, max_file=100: FTDataSet(train_data = [os.path.join(DATA_PATH,'data/P07_train'+str(i)+'_data.ft') for i in range(min_file, max_file)],
4533350d7361 Ajout d'une fonctionnalite pour pouvoir definir un range de fichiers d'entrainement de P07 utilises. Utile pour pre-entrainer et fine-tuner avec des donnees differentes
SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
parents: 257
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49 train_lbl = [os.path.join(DATA_PATH,'data/P07_train'+str(i)+'_labels.ft') for i in range(min_file, max_file)],
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6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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50 test_data = [os.path.join(DATA_PATH,'data/P07_test_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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51 test_lbl = [os.path.join(DATA_PATH,'data/P07_test_labels.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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52 valid_data = [os.path.join(DATA_PATH,'data/P07_valid_data.ft')],
6f4e3719a3cc Added the possibility to get the paths from an env. variable + cleaned up the way we build the paths
Dumitru Erhan <dumitru.erhan@gmail.com>
parents: 222
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53 valid_lbl = [os.path.join(DATA_PATH,'data/P07_valid_labels.ft')],
257
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
diff changeset
54 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
349
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xaviermuller
parents: 269
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55
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
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56 #Added PNIST07
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xaviermuller
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57 PNIST07 = lambda maxsize=None, min_file=0, max_file=100: FTDataSet(train_data = [os.path.join(DATA_PATH,'data/PNIST07_train'+str(i)+'_data.ft') for i in range(min_file, max_file)],
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xaviermuller
parents: 269
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58 train_lbl = [os.path.join(DATA_PATH,'data/PNIST07_train'+str(i)+'_labels.ft') for i in range(min_file, max_file)],
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xaviermuller
parents: 269
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59 test_data = [os.path.join(DATA_PATH,'data/PNIST07_test_data.ft')],
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
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60 test_lbl = [os.path.join(DATA_PATH,'data/PNIST07_test_labels.ft')],
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xaviermuller
parents: 269
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61 valid_data = [os.path.join(DATA_PATH,'data/PNIST07_valid_data.ft')],
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
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62 valid_lbl = [os.path.join(DATA_PATH,'data/PNIST07_valid_labels.ft')],
22efb4968054 added pnist support, will check in code for data set iterator later
xaviermuller
parents: 269
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63 indtype=theano.config.floatX, inscale=255., maxsize=maxsize)
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4cfd0eb438af Add mnist to datasets (and supporting code).
Arnaud Bergeron <abergeron@gmail.com>
parents: 211
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64
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Arnaud Bergeron <abergeron@gmail.com>
parents: 231
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65 mnist = lambda maxsize=None: GzpklDataSet(os.path.join(DATA_PATH,'mnist.pkl.gz'),
966272e7f14b Make the datasets lazy-loading and add a maxsize parameter.
Arnaud Bergeron <abergeron@gmail.com>
parents: 231
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66 maxsize=maxsize)