Mercurial > ift6266
comparison scripts/nist_read2.py @ 107:a9b87b68101d
Ajouté un script pour visualiser les ensembles de données générés enregistrés dans le format filetensor (nist_read2.py)
| author | boulanni <nicolas_boulanger@hotmail.com> |
|---|---|
| date | Mon, 15 Feb 2010 15:35:17 -0500 |
| parents | |
| children |
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| 106:313c249d638e | 107:a9b87b68101d |
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| 1 #!/usr/bin/env python | |
| 2 | |
| 3 from pylearn.io import filetensor as ft | |
| 4 import pylab, numpy | |
| 5 | |
| 6 datapath = '/data/lisa/data/ift6266h10/train_' | |
| 7 | |
| 8 f = open(datapath+'data.ft') | |
| 9 d = ft.read(f) | |
| 10 | |
| 11 f = open(datapath+'labels.ft') | |
| 12 labels = ft.read(f) | |
| 13 | |
| 14 def label2chr(l): | |
| 15 if l<10: | |
| 16 return chr(l + ord('0')) | |
| 17 elif l<36: | |
| 18 return chr(l-10 + ord('A')) | |
| 19 else: | |
| 20 return chr(l-36 + ord('a')) | |
| 21 | |
| 22 for i in range(min(d.shape[0],30)): | |
| 23 pylab.figure() | |
| 24 pylab.title(label2chr(labels[i])) | |
| 25 pylab.imshow(d[i].reshape((32,32))/255., pylab.matplotlib.cm.Greys_r, interpolation='nearest') | |
| 26 | |
| 27 pylab.show() | |
| 28 |