Mercurial > ift6266
comparison transformations/pipeline.py @ 66:bf83682c827b
merge
| author | Xavier Glorot <glorotxa@iro.umontreal.ca> |
|---|---|
| date | Tue, 09 Feb 2010 18:45:35 -0500 |
| parents | 1afa95285b9c |
| children | 5e448ea129b3 |
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| 65:ab70fbca513c | 66:bf83682c827b |
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| 190 class NistData(): | 190 class NistData(): |
| 191 def __init__(self, nist_path, label_path): | 191 def __init__(self, nist_path, label_path): |
| 192 self.train_data = open(nist_path, 'rb') | 192 self.train_data = open(nist_path, 'rb') |
| 193 self.train_labels = open(label_path, 'rb') | 193 self.train_labels = open(label_path, 'rb') |
| 194 self.dim = tuple(ft._read_header(self.train_data)[3]) | 194 self.dim = tuple(ft._read_header(self.train_data)[3]) |
| 195 # in order to seek to the beginning of the file | |
| 196 self.train_data.close() | |
| 197 self.train_data = open(nist_path, 'rb') | |
| 198 | |
| 195 | 199 |
| 196 def nist_supp_iterator(nist, prob_font, prob_captcha, num_img): | 200 def nist_supp_iterator(nist, prob_font, prob_captcha, num_img): |
| 197 subtensor = slice(0, num_img) | 201 subtensor = slice(0, num_img) |
| 198 img = ft.read(nist.train_data, subtensor).astype(numpy.float32)/255 | 202 img = ft.read(nist.train_data, subtensor).astype(numpy.float32)/255 |
| 199 labels = ft.read(nist.train_labels, subtensor) | 203 labels = ft.read(nist.train_labels, subtensor) |
| 200 | 204 |
| 201 for i in xrange(num_img): | 205 for i in xrange(num_img): |
| 202 r = numpy.random.rand() | 206 r = numpy.random.rand() |
| 203 if r<= prob_font: | 207 if r<= prob_font: |
| 204 pass #get font | 208 pass #get font |
| 205 elif r<= prob_font + prob_captcha: | 209 elif r<= prob_font + prob_captcha: |