Mercurial > ift6266
view datasets/defs.py @ 213:a96fa4de06d2
Renommé mon module de séries
author | fsavard |
---|---|
date | Wed, 10 Mar 2010 16:52:22 -0500 |
parents | 476da2ba6a12 |
children | 4cfd0eb438af |
line wrap: on
line source
__all__ = ['nist_digits', 'nist_lower', 'nist_upper', 'nist_all', 'ocr', 'nist_P07'] from ftfile import FTDataSet import theano NIST_PATH = '/data/lisa/data/nist/by_class/' DATA_PATH = '/data/lisa/data/ift6266h10/' nist_digits = FTDataSet(train_data = [NIST_PATH+'digits/digits_train_data.ft'], train_lbl = [NIST_PATH+'digits/digits_train_labels.ft'], test_data = [NIST_PATH+'digits/digits_test_data.ft'], test_lbl = [NIST_PATH+'digits/digits_test_labels.ft'], indtype=theano.config.floatX, inscale=255.) nist_lower = FTDataSet(train_data = [NIST_PATH+'lower/lower_train_data.ft'], train_lbl = [NIST_PATH+'lower/lower_train_labels.ft'], test_data = [NIST_PATH+'lower/lower_test_data.ft'], test_lbl = [NIST_PATH+'lower/lower_test_labels.ft'], indtype=theano.config.floatX, inscale=255.) nist_upper = FTDataSet(train_data = [NIST_PATH+'upper/upper_train_data.ft'], train_lbl = [NIST_PATH+'upper/upper_train_labels.ft'], test_data = [NIST_PATH+'upper/upper_test_data.ft'], test_lbl = [NIST_PATH+'upper/upper_test_labels.ft'], indtype=theano.config.floatX, inscale=255.) nist_all = FTDataSet(train_data = [DATA_PATH+'train_data.ft'], train_lbl = [DATA_PATH+'train_labels.ft'], test_data = [DATA_PATH+'test_data.ft'], test_lbl = [DATA_PATH+'test_labels.ft'], valid_data = [DATA_PATH+'valid_data.ft'], valid_lbl = [DATA_PATH+'valid_labels.ft'], indtype=theano.config.floatX, inscale=255.) ocr = FTDataSet(train_data = [DATA_PATH+'ocr_train_data.ft'], train_lbl = [DATA_PATH+'ocr_train_labels.ft'], test_data = [DATA_PATH+'ocr_test_data.ft'], test_lbl = [DATA_PATH+'ocr_test_labels.ft'], valid_data = [DATA_PATH+'ocr_valid_data.ft'], valid_lbl = [DATA_PATH+'ocr_valid_labels.ft'], indtype=theano.config.floatX, inscale=255.) nist_P07 = FTDataSet(train_data = [DATA_PATH+'data/P07_train'+str(i)+'_data.ft' for i in range(100)], train_lbl = [DATA_PATH+'data/P07_train'+str(i)+'_labels.ft' for i in range(100)], test_data = [DATA_PATH+'data/P07_test_data.ft'], test_lbl = [DATA_PATH+'data/P07_test_labels.ft'], valid_data = [DATA_PATH+'data/P07_valid_data.ft'], valid_lbl = [DATA_PATH+'data/P07_valid_labels.ft'], indtype=theano.config.floatX, inscale=255.)