Mercurial > ift6266
comparison transformations/thick.py @ 17:c91d9f70206d
Changed a call to numpy without having imported it as numpy
author | Xavier Glorot <glorotxa@iro.umontreal.ca> |
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date | Thu, 28 Jan 2010 14:14:53 -0500 |
parents | ebf61603489b |
children | db10ee2a07fb |
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16:368f1907ad5a | 17:c91d9f70206d |
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79 (image,size=self.__structuring_elements__[self.nb].shape,structure=self.__structuring_elements__[self.nb]) | 79 (image,size=self.__structuring_elements__[self.nb].shape,structure=self.__structuring_elements__[self.nb]) |
80 | 80 |
81 #------renormalizing | 81 #------renormalizing |
82 maxit = N.max(trans) | 82 maxit = N.max(trans) |
83 minit = N.min(trans) | 83 minit = N.min(trans) |
84 trans= numpy.asarray((trans - (minit+mini)) / (maxit - (minit+mini)) * maxi,dtype=image.dtype) | 84 trans= N.asarray((trans - (minit+mini)) / (maxit - (minit+mini)) * maxi,dtype=image.dtype) |
85 #-------- | 85 #-------- |
86 return trans | 86 return trans |
87 else: | 87 else: |
88 return image | 88 return image |
89 | 89 |
111 #test on NIST (you need pylearn and access to NIST to do that) | 111 #test on NIST (you need pylearn and access to NIST to do that) |
112 | 112 |
113 if __name__ == '__main__': | 113 if __name__ == '__main__': |
114 | 114 |
115 from pylearn.io import filetensor as ft | 115 from pylearn.io import filetensor as ft |
116 import copy, numpy | 116 import copy |
117 import pygame | 117 import pygame |
118 import time | 118 import time |
119 datapath = '/data/lisa/data/nist/by_class/' | 119 datapath = '/data/lisa/data/nist/by_class/' |
120 f = open(datapath+'digits/digits_train_data.ft') | 120 f = open(datapath+'digits/digits_train_data.ft') |
121 d = ft.read(f) | 121 d = ft.read(f) |