Mercurial > pylearn
view pylearn/datasets/nist_all.py @ 1389:c82340966bf6
pylearn dataset wrapper for entire NIST dataset (digits + lower + upper)
author | gdesjardins |
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date | Mon, 20 Dec 2010 17:59:49 -0500 |
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""" Provides a Dataset to access the nist digits dataset. """ import os, numpy from pylearn.io import filetensor as ft from pylearn.datasets.config import data_root # config from pylearn.datasets.dataset import Dataset from pylearn.datasets.nist_sd import nist_to_float_11, nist_to_float_01 def load(dataset = 'train', attribute = 'data'): """Load the filetensor corresponding to the set and attribute. :param dataset: str that is 'train', 'valid' or 'test' :param attribute: str that is 'data' or 'labels' """ fn = 'all_' + dataset + '_' + attribute + '.ft' fn = os.path.join(data_root(), 'nist', 'by_class', 'all', fn) fd = open(fn) data = ft.read(fd) fd.close() return data def train_valid_test(ntrain=651668, nvalid=80000, ntest=82587, path=None, range = '01'): """ Load the nist digits dataset as a Dataset. @note: the examples are uint8 and the labels are int32. @todo: possibility of loading part of the data. """ rval = Dataset() # rval.n_classes = 62 rval.img_shape = (32,32) if range == '01': rval.preprocess = nist_to_float_01 elif range == '11': rval.preprocess = nist_to_float_11 else: raise ValueError('Nist Digits dataset does not support range = %s' % range) print "Nist Digits dataset: using preproc will provide inputs in the %s range." \ % range # train examples = load(dataset = 'train', attribute = 'data') labels = load(dataset = 'train', attribute = 'labels') rval.train = Dataset.Obj(x=examples[:ntrain], y=labels[:ntrain]) # valid rval.valid = Dataset.Obj(x=examples[651668:651668+nvalid], y=labels[651668:651668+nvalid]) # test examples = load(dataset = 'test', attribute = 'data') labels = load(dataset = 'test', attribute = 'labels') rval.test = Dataset.Obj(x=examples[:ntest], y=labels[:ntest]) return rval