Mercurial > pylearn
view pylearn/datasets/caltech.py @ 1483:4727a7e4d506
modified Caltech Silhouettes dataset to use config.get_filepath_in_roots
mechanism.
author | gdesjardins |
---|---|
date | Tue, 05 Jul 2011 10:58:19 -0400 |
parents | 124b939d997f |
children | f7b348e6a98e |
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""" Various routines to load/access MNIST data. """ import os import numpy from pylearn.io.pmat import PMat from pylearn.datasets.config import data_root # config from pylearn.datasets.dataset import Dataset import config def caltech_silhouette(): rval = Dataset() # dataset lookup through $PYLEARN_DATA_ROOT path = config.get_filepath_in_roots('caltech_silhouettes') rval.train = Dataset.Obj(x=numpy.load(os.path.join(path,'train_data.npy')), y=numpy.load(os.path.join(path,'train_labels.npy'))) rval.valid = Dataset.Obj(x=numpy.load(os.path.join(path,'val_data.npy')), y=numpy.load(os.path.join(path,'val_labels.npy'))) rval.test = Dataset.Obj(x=numpy.load(os.path.join(path,'test_data.npy')), y=numpy.load(os.path.join(path,'test_labels.npy'))) rval.n_classes = 101 rval.img_shape = (28,28) return rval