Mercurial > ift6266

annotate transformations/add_background_image.py @ 77:aee278ebc827

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Mise a niveau specifications parametres deterministes et nouvelle normalisation des images
author SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
date Wed, 10 Feb 2010 14:42:40 -0500
parents be24db3a4d6e
children 53ee1097c02c
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1 #!/usr/bin/python
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2 # -*- coding: iso-8859-1 -*-
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4 '''
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5 Implementation of random background adding to a specific image
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7 Author: Guillaume Sicard
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8 '''
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10 import sys, os, random
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11 import cPickle
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12 import Image, numpy
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14 class AddBackground():
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15 def __init__(self, threshold = 128):
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16 self.h = 32
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17 self.w = 32
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18 self.threshold = threshold;
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19 self.bg_image_file = '/data/lisa/data/ift6266h10/image_net/'
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20 f=open(self.bg_image_file+'filelist.pkl')
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21 self.image_files = cPickle.load(f)
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22 f.close()
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24 # get threshold value
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25 def get_settings_names(self):
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26 return [str(self.threshold)]
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27
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28 # no need, except for testmod.py
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29 def regenerate_parameters(self, complexity):
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30 value = random.gauss(0, 0.5*complexity)
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31 return [value]
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33 # load an image
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34 def load_image(self,filename):
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35 image = Image.open(filename).convert('L')
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36 image = numpy.asarray(image)
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37 image = (image / 255.0).astype(numpy.float32)
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38 return image
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40 # save an image
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41 def save_image(self,array, filename):
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42 image = (array * 255.0).astype('int')
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43 image = Image.fromarray(image)
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44 if (filename != ''):
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45 image.save(filename)
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46 else:
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47 image.show()
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49 # make a random 32x32 crop of an image
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50 def rand_crop(self,image):
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51 i_w, i_h = image.shape
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52 x, y = random.randint(0, i_w - self.w), random.randint(0, i_h - self.h)
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53 return image[x:x + self.w, y:y + self.h]
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55 # select a random background image from "bg_image_file" and crops it
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56 def rand_bg_image(self):
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57 i = random.randint(0, len(self.image_files) - 1)
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59 image = self.load_image(self.bg_image_file + self.image_files[i])
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60 self.bg_image = self.rand_crop(image)
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62 # set "bg_image" as background to "image", based on a pixels threshold
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63 def set_bg(self,image):
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64 b = (image < self.threshold / 255.0).astype(numpy.float32)
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65 return b * self.bg_image + ( 1 - b) * image
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67 # transform an image file and return an array
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68 def transform_image_from_file(self, filename):
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69 self.rand_bg_image()
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70 image = self.load_image(filename)
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71 image = self.set_bg(image)
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72 return image
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74 # standard array to array transform
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75 def transform_image(self, image):
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76 self.rand_bg_image()
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77 image = self.set_bg(image)
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78 return image
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80 # test method
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81 def test(self,filename):
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82 import time
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84 sys.stdout.write('Starting addBackground test : loading image')
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85 sys.stdout.flush()
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87 image = self.load_image(filename)
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89 t = 0
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90 n = 500
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91 for i in range(n):
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92 t0 = time.time()
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93 image2 = self.transform_image(image)
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94 t = ( i * t + (time.time() - t0) ) / (i + 1)
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95 sys.stdout.write('.')
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96 sys.stdout.flush()
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97
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98 print "Done!\nAverage time : " + str(1000 * t) + " ms"
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100 if __name__ == '__main__':
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101
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102 myAddBackground = AddBackground()
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103 myAddBackground.test('./images/0-LiberationSans-Italic.ttf.jpg')