Mercurial > ift6266

annotate transformations/add_background_image.py @ 58:fd02fd7e6557

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Contraste de rature plus prononce, il y a maintenant rature avec proba=complexity, la clarte et la largeur de la bande ont maintenant une composante aleatoire
author SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca>
date Mon, 08 Feb 2010 13:57:46 -0500
parents 4d4248f7e2fb
children ab70fbca513c
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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, fnmatch
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11 import Image, numpy
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13 class AddBackground():
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14 def __init__(self, threshold = 128):
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15 self.h = 32
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16 self.w = 32
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17 self.threshold = threshold;
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18 self.bg_image_dir = './images/'
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19 self.pattern = '*.jpg'
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21 # get threshold value
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22 def get_settings_names(self):
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23 return [str(self.threshold)]
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24
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25 # no need, except for testmod.py
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26 def regenerate_parameters(self, complexity):
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27 value = random.gauss(0, 0.5*complexity)
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28 return [value]
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30 # load an image
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31 def load_image(self,filename):
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32 image = Image.open(filename).convert('L')
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33 image = numpy.asarray(image)
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34 image = (image / 255.0).astype(numpy.float32)
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35 return image
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37 # save an image
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38 def save_image(self,array, filename):
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39 image = (array * 255.0).astype('int')
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40 image = Image.fromarray(image)
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41 if (filename != ''):
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42 image.save(filename)
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43 else:
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44 image.show()
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46 # make a random 32x32 crop of an image
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47 def rand_crop(self,image):
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48 i_w, i_h = image.shape
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49 x, y = random.randint(0, i_w - self.w), random.randint(0, i_h - self.h)
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50 return image[x:x + self.w, y:y + self.h]
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52 # select a random background image from "bg_image_dir" and crops it
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53 def rand_bg_image(self):
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54 files = os.listdir(self.bg_image_dir)
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55 image_files = fnmatch.filter(files, self.pattern)
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56 i = random.randint(0, len(image_files) - 1)
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58 image = self.load_image(self.bg_image_dir + image_files[i])
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59 self.bg_image = self.rand_crop(image)
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61 # set "bg_image" as background to "image", based on a pixels threshold
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62 def set_bg(self,image):
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63 b = (image < self.threshold / 255.0).astype(numpy.float32)
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64 return b * self.bg_image + ( 1 - b) * image
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66 # transform an image file and return an array
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67 def transform_image_from_file(self, filename):
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68 self.rand_bg_image()
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69 image = self.load_image(filename)
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70 image = self.set_bg(image)
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71 return image
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73 # standard array to array transform
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74 def transform_image(self, image):
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75 self.rand_bg_image()
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76 image = self.set_bg(image)
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77 return image
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79 # test method
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80 def test(self,filename):
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81 import time
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83 sys.stdout.write('Starting addBackground test : loading image')
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84 sys.stdout.flush()
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85
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86 image = self.load_image(filename)
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88 t = 0
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89 n = 500
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90 for i in range(n):
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91 t0 = time.time()
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92 image2 = self.transform_image(image)
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93 t = ( i * t + (time.time() - t0) ) / (i + 1)
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94 sys.stdout.write('.')
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95 sys.stdout.flush()
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96
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97 print "Done!\nAverage time : " + str(1000 * t) + " ms"
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99 if __name__ == '__main__':
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101 myAddBackground = AddBackground()
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102 myAddBackground.test('./images/0-LiberationSans-Italic.ttf.jpg')