Mercurial > ift6266
annotate transformations/add_background_image.py @ 62:bab98bb47616
Correction majeure. Auparavant, le lissage gaussien etait global avec une seule gaussienne. Maintenant, le lissage gaussien est local. Un bruit correle est rajoute sur l'image
author | SylvainPL <sylvain.pannetier.lebeuf@umontreal.ca> |
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date | Tue, 09 Feb 2010 11:41:17 -0500 |
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children | ab70fbca513c |
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1 #!/usr/bin/python |
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2 # -*- coding: iso-8859-1 -*- |
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3 |
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4 ''' |
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5 Implementation of random background adding to a specific image |
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6 |
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7 Author: Guillaume Sicard |
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8 ''' |
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9 |
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10 import sys, os, random, fnmatch |
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11 import Image, numpy |
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12 |
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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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20 |
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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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29 |
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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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36 |
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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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45 |
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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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51 |
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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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57 |
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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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60 |
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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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65 |
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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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72 |
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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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78 |
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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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82 |
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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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87 |
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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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98 |
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99 if __name__ == '__main__': |
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100 |
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101 myAddBackground = AddBackground() |
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102 myAddBackground.test('./images/0-LiberationSans-Italic.ttf.jpg') |