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comparison transformations/testtransformations.py @ 120:5e00ed18ae32

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changed some transformation paramters to better fit with visualization
author Xavier Glorot <glorotxa@iro.umontreal.ca>
date Wed, 17 Feb 2010 17:45:48 -0500
parents 0d083964af4b
children a507adba0ce3
comparison
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119:4f37755d301b 120:5e00ed18ae32
29 29
30 ###---------------------order of transformation module 30 ###---------------------order of transformation module
31 MODULE_INSTANCES = [Slant(),Thick(),AffineTransformation(),LocalElasticDistorter(),GIMP1(),Rature(),Occlusion(), PermutPixel(),DistorsionGauss(),AddBackground(), PoivreSel(), BruitGauss(), Contrast()] 31 MODULE_INSTANCES = [Slant(),Thick(),AffineTransformation(),LocalElasticDistorter(),GIMP1(),Rature(),Occlusion(), PermutPixel(),DistorsionGauss(),AddBackground(), PoivreSel(), BruitGauss(), Contrast()]
32 32
33 ###---------------------complexity associated to each of them 33 ###---------------------complexity associated to each of them
34 complexity = 0.6 34 complexity = 0.7
35 #complexity = [0.5]*len(MODULE_INSTANCES) 35 #complexity = [0.5]*len(MODULE_INSTANCES)
36 #complexity = [0.,0.,0.,0.,0.,0.,0.,0.,0.,0.,0.] 36 #complexity = [0.,0.,0.,0.,0.,0.,0.,0.,0.,0.,0.]
37 n=100 37 n=100
38 38
39 def createimage(path,d): 39 def createimage(path,d):
107 107
108 pygame.font.init() 108 pygame.font.init()
109 109
110 d = N.zeros((n,1024)) 110 d = N.zeros((n,1024))
111 111
112
113 datapath = '/data/lisa/data/nist/by_class/'
114 f = open(datapath+'digits_reshuffled/digits_reshuffled_train_data.ft')
115 d = ft.read(f)
116 d = d[0:n,:]/255.0
117 createimage('/u/glorotxa/transf/NIST_digits',d)
118
119 from Facade import * 112 from Facade import *
120 113
121 for i in range(n): 114 for i in range(n):
122 d[i,:]=N.asarray(N.reshape(generateCaptcha(0.5,0),(1,1024))/255.0,dtype='float32') 115 d[i,:]=N.asarray(N.reshape(generateCaptcha(0.8,0),(1,1024))/255.0,dtype='float32')
123 116
124 createimage('/u/glorotxa/transf/capcha',d) 117 createimage('/u/glorotxa/transf/capcha',d)
125 118
126 119
127 for i in range(n): 120 for i in range(n):
128 myttf2jpg = ttf2jpg() 121 myttf2jpg = ttf2jpg()
129 d[i,:]=N.reshape(myttf2jpg.generate_image()[0],(1,1024)) 122 d[i,:]=N.reshape(myttf2jpg.generate_image()[0],(1,1024))
130 createimage('/u/glorotxa/transf/fonts',d) 123 createimage('/u/glorotxa/transf/fonts',d)
131 124
125
126 datapath = '/data/lisa/data/nist/by_class/'
127 f = open(datapath+'digits_reshuffled/digits_reshuffled_train_data.ft')
128 d = ft.read(f)
129 d = d[0:n,:]/255.0
130 createimage('/u/glorotxa/transf/NIST_digits',d)
132 131
133 132
134 datapath = '/data/lisa/data/nist/by_class/' 133 datapath = '/data/lisa/data/nist/by_class/'
135 f = open(datapath+'lower/lower_train_data.ft') 134 f = open(datapath+'lower/lower_train_data.ft')
136 d = ft.read(f) 135 d = ft.read(f)