Mercurial > ift6266
annotate data_generation/pipeline/testtransformations.py @ 452:b0622f78cfec
Add a small paragraph mentionning the distribution differences and a figure illustrating the difference.
| author | Arnaud Bergeron <abergeron@gmail.com> |
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| date | Mon, 10 May 2010 13:52:57 -0400 |
| parents | 0de14b2034c6 |
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| rev | line source |
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1 #!/usr/bin/env python |
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2 |
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3 |
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4 |
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5 from pylearn.io import filetensor as ft |
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6 import copy |
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7 import pygame |
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8 import time |
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9 import numpy as N |
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10 |
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11 from ttf2jpg import ttf2jpg |
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12 |
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13 #from gimpfu import * |
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14 |
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15 |
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16 from PoivreSel import PoivreSel |
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17 from thick import Thick |
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18 from BruitGauss import BruitGauss |
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19 from DistorsionGauss import DistorsionGauss |
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20 from PermutPixel import PermutPixel |
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21 from gimp_script import GIMP1 |
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22 from Rature import Rature |
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23 from contrast import Contrast |
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24 from local_elastic_distortions import LocalElasticDistorter |
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25 from slant import Slant |
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26 from Occlusion import Occlusion |
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27 from add_background_image import AddBackground |
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28 from affine_transform import AffineTransformation |
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29 |
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30 ###---------------------order of transformation module |
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31 MODULE_INSTANCES = [Slant(),Thick(),AffineTransformation(),LocalElasticDistorter(),GIMP1(False)] |
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32 |
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33 ###---------------------complexity associated to each of them |
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34 complexity = 0.7 |
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35 #complexity = [0.5]*len(MODULE_INSTANCES) |
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36 #complexity = [0.,0.,0.,0.,0.,0.,0.,0.,0.,0.,0.] |
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37 n=100 |
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38 |
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39 def createimage(path,d): |
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40 for i in range(n): |
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41 screen.fill(0) |
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42 a=d[i,:] |
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43 off1=4*32 |
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44 off2=0 |
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45 for u in range(n): |
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46 b=N.asarray(N.reshape(a,(32,32))) |
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47 c=N.asarray([N.reshape(a*255.0,(32,32))]*3).T |
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48 new=pygame.surfarray.make_surface(c) |
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49 new=pygame.transform.scale2x(new) |
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50 new=pygame.transform.scale2x(new) |
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51 #new.set_palette(anglcolorpalette) |
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52 screen.blit(new,(0,0)) |
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53 exemple.blit(new,(0,0)) |
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54 |
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55 offset = 4*32 |
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56 offset2 = 0 |
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57 ct = 0 |
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58 ctmp = N.random.rand()*complexity |
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59 print u |
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60 for j in MODULE_INSTANCES: |
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61 #max dilation |
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62 #ctmp = N.random.rand()*complexity[ct] |
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63 ctmp = N.random.rand()*complexity |
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64 #print j.get_settings_names(), j.regenerate_parameters(ctmp) |
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65 th=j.regenerate_parameters(ctmp) |
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66 |
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67 b=j.transform_image(b) |
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68 c=N.asarray([b*255]*3).T |
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69 new=pygame.surfarray.make_surface(c) |
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70 new=pygame.transform.scale2x(new) |
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71 new=pygame.transform.scale2x(new) |
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72 if u==0: |
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73 #new.set_palette(anglcolorpalette) |
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74 screen.blit(new,(offset,offset2)) |
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75 font = pygame.font.SysFont('liberationserif',18) |
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76 text = font.render('%s '%(int(ctmp*100.0)/100.0) + j.__module__,0,(255,255,255),(0,0,0)) |
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77 #if j.__module__ == 'Rature': |
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78 # text = font.render('%s,%s'%(th[-1],int(ctmp*100.0)/100.0) + j.__module__,0,(255,255,255),(0,0,0)) |
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79 screen.blit(text,(offset,offset2+4*32)) |
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80 if ct == len(MODULE_INSTANCES)/2-1: |
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81 offset = 0 |
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82 offset2 = 4*32+20 |
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83 else: |
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84 offset += 4*32 |
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85 ct+=1 |
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86 exemple.blit(new,(off1,off2)) |
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87 if off1 != 9*4*32: |
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88 off1+=4*32 |
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89 else: |
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90 off1=0 |
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91 off2+=4*32 |
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92 pygame.image.save(exemple,path+'/perimages/%s.PNG'%i) |
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93 pygame.image.save(screen,path+'/exemples/%s.PNG'%i) |
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94 |
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95 |
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96 |
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97 |
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98 nbmodule = len(MODULE_INSTANCES) |
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99 |
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100 pygame.surfarray.use_arraytype('numpy') |
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101 |
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102 #pygame.display.init() |
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103 screen = pygame.Surface((4*(nbmodule+1)/2*32,2*(4*32+20)),depth=32) |
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104 exemple = pygame.Surface((N.ceil(N.sqrt(n))*4*32,N.ceil(N.sqrt(n))*4*32),depth=32) |
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105 |
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106 anglcolorpalette=[(x,x,x) for x in xrange(0,256)] |
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107 #pygame.Surface.set_palette(anglcolorpalette) |
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108 #screen.set_palette(anglcolorpalette) |
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109 |
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110 pygame.font.init() |
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111 |
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118
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112 d = N.zeros((n,1024)) |
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113 |
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114 #datapath = '/data/lisa/data/ocr_breuel/filetensor/unlv-corrected-2010-02-01-shuffled.ft' |
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115 #f = open(datapath) |
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116 #d = ft.read(f) |
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117 #d = d[0:n,:]/255.0 |
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118 #createimage('/u/glorotxa/transf/OCR',d) |
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129
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119 |
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120 |
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121 |
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122 datapath = '/data/lisa/data/nist/by_class/' |
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123 f = open(datapath+'digits_reshuffled/digits_reshuffled_train_data.ft') |
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124 d = ft.read(f) |
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125 d = d[0:n,:]/255.0 |
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126 createimage('/u/glorotxa/transf/NIST_digits',d) |
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127 |
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128 |
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129 |
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130 datapath = '/data/lisa/data/nist/by_class/' |
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131 f = open(datapath+'upper/upper_train_data.ft') |
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132 d = ft.read(f) |
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133 d = d[0:n,:]/255.0 |
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134 createimage('/u/glorotxa/transf/NIST_upper',d) |
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135 |
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136 #from Facade import * |
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137 |
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138 #for i in range(n): |
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139 #d[i,:]=N.asarray(N.reshape(generateCaptcha(0.8,0),(1,1024))/255.0,dtype='float32') |
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140 |
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141 #createimage('/u/glorotxa/transf/capcha',d) |
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142 |
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143 |
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144 #for i in range(n): |
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145 #myttf2jpg = ttf2jpg() |
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146 #d[i,:]=N.reshape(myttf2jpg.generate_image()[0],(1,1024)) |
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147 #createimage('/u/glorotxa/transf/fonts',d) |
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148 |
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149 datapath = '/data/lisa/data/nist/by_class/' |
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150 f = open(datapath+'lower/lower_train_data.ft') |
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151 d = ft.read(f) |
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152 d = d[0:n,:]/255.0 |
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153 createimage('/u/glorotxa/transf/NIST_lower',d) |
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154 |
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155 |
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156 #pygame.display.quit() |