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268 lines
7.5 KiB
268 lines
7.5 KiB
#!/usr/bin/python
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# coding: utf-8
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# haacheuur 0.24
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# port industriel de port la nouvelle - couleur - 60cm*30cm
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# image source : pln.jpg
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# image obtenue : pln..20150910-11h59m53s.jpg
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# pln.png 3936x1024 pix
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'''
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image input puredata : 16384 width x 768 height
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donc par exemple, pour 3 images :
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3 x 16384 = 49152 pixels en tout
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'''
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import sys
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import Image
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import random
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import os
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import ImageDraw
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import ImageFont
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import ImageFilter
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from time import gmtime, strftime
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import time
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if not len(sys.argv) > 1:
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raise SystemExit("Usage: %s image_source" % sys.argv[0])
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# modifs du 30/10/2013
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import ImageEnhance
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#rapport d'allongement de la nouvelle image par rapport à la largeur de l'image originale
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allongement = 1
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#ouverture de l'image source et conversion en mode couleur 1bit
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#1 bit (sys.argv[1])).convert('1') et niveaux de gris : (sys.argv[1])).convert('L')
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im1 = Image.open(str(sys.argv[1]))
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im2 = im1.copy()
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im3 = Image.new("RGBA",(im1.size[0], im1.size[1]))
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im5 = Image.new("RGBA",(im1.size[0], im1.size[1]))
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im4 = Image.new("RGBA",(im1.size[0]*allongement, im1.size[1]))
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#im4 = Image.new("RGBA",(49152, im1.size[1]))
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Larg = im1.size[0]
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Haut = im1.size[1]
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import pickle
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loadfile = False
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class Sequence:
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def __init__(s):
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randomCoupeHauteur = []
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s.randomCopyPosi =[]
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s.proportions=[]
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s.choix=[]
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s.sizeOutput=None
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s.sizeInput=None
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"""
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seq = dict()
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seq["randomCoupeHauteur"] = []
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seq["randomCopyPosi"] = []
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seq["proportions"] = []
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seq["choix"] = []
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seq["sizeOutput"]= im4.size
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seq["sizeInput"] = im1.size
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"""
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if loadfile:
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seq=pickle.load(open("test.pickle"))
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else :
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seq=Sequence()
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for i in range(1):
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# constitution de la liste des tranches horizontales
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# genre comme si qu'on avait un 16 pistes :)
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# nombre aleatoire compris dans les limites de l'image
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def randHaut():
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return random.randint(0, im1.size[1]/8)*8
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if loadfile:
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randomCoupeHauteur = seq.randomCoupeHauteur
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else:
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randomCoupeHauteur = [0, \
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randHaut(),randHaut(),randHaut(),randHaut(), \
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randHaut(),randHaut(),randHaut(),randHaut(), \
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randHaut(),randHaut(),randHaut(),randHaut(), \
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randHaut(),randHaut(),randHaut(),randHaut(), \
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randHaut(),randHaut(),randHaut(),randHaut(), \
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randHaut(),randHaut(),randHaut(),randHaut(), \
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randHaut(),randHaut(),randHaut(),randHaut(), \
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randHaut(),randHaut(),randHaut(),randHaut(), \
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im1.size[1]]
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# rangement des valeurs des plus petites au plus grandes
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randomCoupeHauteur.sort()
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seq.randomCoupeHauteur = randomCoupeHauteur
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# les hachures
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def Hacheur(haut, bas) :
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n=0
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i=0
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#!!!!!!!!!!
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while n<im4.size[0] :
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if loadfile:
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proportions = seq.proportions
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choix_rnd = seq.choix[i]
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randomCopyPosi = seq.randomCopyPosi[i]
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else:
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'''
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8 16 24 32 40 48 56 64 72 80 88 96 104 112 120 128 136 144 152 160 168
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'''
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#proportions = [(160,6),(120,4),(120,8),(80,16),(60,16),(20,32),(8,24),(8,16),(5,64),(3,24),(2,24),(1,256),(1,128),(1,64),(1,32),(1,16),(1,8)]
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#proportions = [(160,6),(120,4),(120,8),(80,16),(60,16),(20,32),(8,24),(8,16),(5,64),(3,24),(2,24),(1,256),(1,128),(1,64),(1,32),(1,16),(1,8)]
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#proportions = [(1280,1),(800,1),(800,2),(640,1),(640,2),(640,4),(320,4),(320,2),(320,1),(160,1),(120,2),(120,3),(80,6),(64,12),(64,6),(32,4),(32,8),(32,16),(32,32),(32,64)]
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proportions = [(16,2),(8,2),(4,2),(2,2),(1,2)]
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#proportion pln pour output final avec puredata/gem (decalage phase 32pix)
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'''
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proportions = [ (768,2),\
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(512,4),\
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(256,8),\
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(128,4),(128,16),\
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(64,4),(64,8),(64,16),\
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(32,8),(32,16),(32,32),(32,32),(32,64),(32,128),\
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(16,1),(16,4),(16,16),(16,64)]
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'''
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#proportions = [(512,1),(256,2),(128,4),(64,8),(64,4),(32,16),(32,32),(32,8),(16,8),(16,32),(8,64),(8,32),(8,16)]
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#proportions = [(32,1),(32,2),(32,3),(32,4),(32,5),(32,6),(32,8),(32,12),(32,16),(32,24),(32,32),(32,64)]
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seq.proportions = proportions
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#proportions = seq.proportions[]
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choix_rnd = random.randint(0, len(proportions)-1)
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#choix_rnd = random.randint(0, len(proportions)-1)
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seq.choix.append(choix_rnd)
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largeur = proportions[choix_rnd][0]
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# positionnement de la copie, aleatoirement, entre 0 et la largeur totale de l'image
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randomCopyPosi = random.randint(0, (im1.size[0]-largeur))
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#randomCopyPosi = seq.randomCopyPosi
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seq.randomCopyPosi.append(randomCopyPosi)
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i+=1
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# tirage au sort
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#seq["choix"].append(choix_rnd)
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# assignation des valeurs (paires) finales choisies
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largeur = proportions[choix_rnd][0]
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repeat = proportions[choix_rnd][1]
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#seq["randomCopyPosi"].append(randomCopyPosi)
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# pixellisation : choix de la taille du pixel = pixelSize
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#pixelSizeList = [1,1,1,1,1,1,1,1,4,8]
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pixelSizeList = [1,2,4,8]
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pixelSizeIndex = random.randint(0,len(pixelSizeList)-1)
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pixelSize = pixelSizeList[pixelSizeIndex]
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cropfinal = [largeur,bas-haut]
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hauteur = bas-haut
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'''
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haut gauche(0,0).
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haut droit (largeur-1 , 0).
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bas gauche (0 , hauteur-1).
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bas droit (largeur-1, hauteur-1)
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'''
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if largeur % pixelSize != 0:
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croop = largeur / pixelSize
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largeur = (int(croop) + 1 ) * pixelSize
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if hauteur % pixelSize != 0:
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croop2 = hauteur / pixelSize
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hauteur = (int(croop2) + 1 ) * pixelSize
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# decoupage du sample
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im5 = im2.crop((randomCopyPosi,haut,randomCopyPosi+largeur,haut+hauteur))
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'''COLLAGE DU SAMPLE '''
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loop = 0
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while loop<repeat:
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px1 = n
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px2 = n + largeur
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# draw = ImageDraw.Draw(im3)
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''' PIXELISATION'''
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im5 = im5.resize((im3.size[0]/pixelSize, im3.size[1]/pixelSize), Image.NEAREST)
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im5 = im5.resize((im3.size[0]*pixelSize, im3.size[1]*pixelSize), Image.NEAREST)
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im3 = im5.crop(0,0,cropfinal[0]-1,cropfinal[1]-1)
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#lignes colorées de 1 pix
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draw.line((im3.size[0]-1, 0, im3.size[0]-1, im3.size[1]-1), fill="rgb(255,255,255)")
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im4.paste(im3, (px1, haut, px2, bas))
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n = n + largeur
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loop = loop + 1
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''' OPTIONS'''
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def TrancheHorizontale() :
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# tirage au hasard de la bande copiee
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pos = random.randint(0, im1.size[1]-im1.size[1]/20)
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# copiage
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im5 = im2.crop((0,pos,im1.size[0],pos+im1.size[1]/20))
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# le soulignage en blanc
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draw = ImageDraw.Draw(im5)
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draw.line((0, im5.size[1]-1, im5.size[0], im5.size[1]-1), fill="black")
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draw.line((0, 1, im5.size[0], 1), fill="black")
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# collage
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im4.paste(im5, (0,pos,im1.size[0],pos+im1.size[1]/20))
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# HAACHEUUR
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for j in range(len(randomCoupeHauteur)-1):
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Hacheur(randomCoupeHauteur[j], randomCoupeHauteur[j+1])
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''' SAUVEGARDE
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'''
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# CTRL + S
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#chemin du script : scriptpy = sys.argv[0]
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#chemin de l'image : str(sys.argv[1])
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scriptpy = str(sys.argv[1])
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script = scriptpy[:-3]
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n = "%05d" % i
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im4.save(script+"."+n+"_"+strftime("%Y%m%d-%Hh%Mm%Ss", gmtime())+".png",'PNG', quality=100)
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#pickle.dump(seq, open("test.pickle","w"))
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pickle.dump(seq, open(script+"."+n+"_"+strftime("%Y%m%d-%Hh%Mm%Ss", gmtime())+".pickle","w"))
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#print script+"."+str(i)+"_"+strftime("%Y%m%d-%Hh%Mm%Ss", gmtime())+".jpg"
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#millis = int(round(time.time() * 1000))
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#print "millis-secondes : "+str(millis)
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#obtenir les valeurs RGB des pixels de l'image
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'''
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from PIL import Image
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im = Image.open('test.png')
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pixels = list(im.getdata())
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width, height = im.size
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pixels = [pixels[i * width:(i + 1) * width] for i in xrange(height)]
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for r in range(0, height-1) :
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print "pixels = "+str(pixels[r])
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print " "
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print "len(pixels) = "+str(len(pixels))
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print "width = "+str(width)
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print "height = "+str(height)
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print " "
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#tintin = im.tostring( "raw", "RGBA", 0, -1)
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#print "tostring = "+tintin
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'''
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