Mercurial > pylearn
view pylearn/datasets/caltech.py @ 1391:124b939d997f
* removed temporary caltech_silhouette2 dataset
* minor tweak to peaked_modes dataset (used for tempering stuff)
author | gdesjardins |
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date | Mon, 20 Dec 2010 18:08:48 -0500 |
parents | 0f69f303ba91 |
children | 4727a7e4d506 |
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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 def caltech_silhouette(): rval = Dataset() path = os.path.join(data_root(), '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