add pixelisation effect

hacheuur.py

@@ -21,6 +21,7 @@ import ImageEnhance
 
 #ouvertrure de l'image source et conversion en mode couleur 1bit
 im1 = Image.open(str(sys.argv[1])).convert('1')
+#im1 = Image.open(str(sys.argv[1])).convert('L')
 im2 = im1.copy()
 
 #rapport d'allongement de la nouvelle image par rapport à la largeur de l'image originale
@@ -33,7 +34,7 @@ Larg = im1.size[0]
 Haut = im1.size[1]
 import pickle
 
-loadfile = True
+loadfile = False
 
 class Sequence:
 	def __init__(s):
@@ -59,14 +60,14 @@ if loadfile:
 else :
 	seq=Sequence()
 	
-for i in range(1):
+for i in range(4):
 	
 		
 	# constitution de la liste des tranches horizontales
 	# genre comme si qu'on avait un 16 pistes :)
 	# nombre aleatoire compris dans les limites de l'image
 	def randHaut():
-		return random.randint(0, im1.size[1])
+		return random.randint(0, im1.size[1]/8)*8
 	
 	if loadfile:
 		randomCoupeHauteur = seq.randomCoupeHauteur
@@ -99,12 +100,18 @@ for i in range(1):
 				choix_rnd = seq.choix[i]
 				randomCopyPosi = seq.randomCopyPosi[i]
 			else:
-				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)]
+				'''
+				8 16 24 32 40 48 56 64 72 80 88 96 104 112 120 128 136 144 152 160 168
+				'''
+				#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)]
+				proportions = [(160,6),(120,4),(120,8),(80,16),(64,16),(24,32),(8,24),(8,16)]
 				seq.proportions = proportions
 				#proportions = seq.proportions[]
 				choix_rnd = random.randint(0, len(proportions)-1)
 				#choix_rnd = random.randint(0, len(proportions)-1)
 				seq.choix.append(choix_rnd)
+				
+				largeur = proportions[choix_rnd][0]
 	
 				
 				# positionnement de la copie, aleatoirement, entre 0 et la largeur totale de l'image 
@@ -130,17 +137,34 @@ for i in range(1):
 			cx2 = randomCopyPosi + largeur
 			# decoupage du sample
 			im3 = im2.crop((cx1,haut,cx2,bas))
+			print "im3 = im2.crop : "+str(im3.size)
 				
-			draw = ImageDraw.Draw(im4)		
+			draw = ImageDraw.Draw(im4)
+					
 			loop = 0
+			pixelSizeIndex = random.randint(0,20)
+			pixelSizeList = [1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,4,8]
+			pixelSize = pixelSizeList[pixelSizeIndex]
+			print " pixelSize = "+str(pixelSize)
 			
-			#collage, n fois, du sample
+			
+			''' COLLAGE DU SAMPLE
+			'''
 			while loop<repeat:	
 				px1 = n
 				px2 = n + largeur
 				
 				draw = ImageDraw.Draw(im3)
 				
+				''' PIXELISATION
+				'''
+
+				im3 = im3.resize((im3.size[0]/pixelSize, im3.size[1]/pixelSize), Image.NEAREST)
+				im3 = im3.resize((im3.size[0]*pixelSize, im3.size[1]*pixelSize), Image.NEAREST)
+				
+				print "im3.size="+str(im3.size)
+				print "im4.size="+str(im4.size)
+
 				#lignes colorées de 1 pix
 				draw.line((im3.size[0]-1, 0, im3.size[0]-1, im3.size[1]-1), fill="rgb(255,255,255)")
 				
@@ -148,7 +172,9 @@ for i in range(1):
 				
 				n = n + largeur
 				loop = loop + 1
-		
+	
+	''' OPTIONS
+	'''	
 	def TrancheHorizontale() :
 		# tirage au hasard de la bande copiee
 		pos = random.randint(0, im1.size[1]-im1.size[1]/20)
@@ -167,6 +193,8 @@ for i in range(1):
 	for j in range(len(randomCoupeHauteur)-1):
 		Hacheur(randomCoupeHauteur[j], randomCoupeHauteur[j+1])
 	
+	''' SAUVEGARDE
+	'''
 	# CTRL + S
 	#chemin du script	: scriptpy = sys.argv[0]
 	#chemin de l'image	: str(sys.argv[1])

horizontal.simple.py

@@ -4,7 +4,6 @@ from time import gmtime, strftime
 
 fichier=sys.argv[1]
 
-
 try:
 	im1 = Image.open(fichier).convert('1')
 	im2 = im1.copy()
@@ -27,7 +26,6 @@ while x < im1.size[0] :
 		
 	# ALPHA tout bete :
 	im3 = Image.blend(im1, im2, 0.8)
-
 	
 	n = "%05d" % x
 	nomdefichier = "horizontal"+n+".png"
@@ -43,9 +41,3 @@ print " OUTPUT FINAL : "+fichier+".final.mp4"
 
 # Nettoyage
 os.system("rm horizontal*.png")
-
-
-		
-	
-	
-	

pixelate.py

@@ -0,0 +1,40 @@
+from PIL import Image
+
+'''
+backgroundColor = (0,)*3
+'''
+
+pixelSize = 8
+
+image = Image.open('pixelate_input.png')
+image = image.resize((image.size[0]/pixelSize, image.size[1]/pixelSize), Image.NEAREST)
+image = image.resize((image.size[0]*pixelSize, image.size[1]*pixelSize), Image.NEAREST)
+pixel = image.load()
+
+'''
+for i in range(0,image.size[0],pixelSize):
+  for j in range(0,image.size[1],pixelSize):
+    for r in range(pixelSize):
+      pixel[i+r,j] = backgroundColor
+      pixel[i,j+r] = backgroundColor
+'''
+
+image.save('pixelate_output.png')
+
+
+'''
+load
+
+im.load()
+
+Allocates storage for the image and loads it from the file (or from the source, for lazy operations). In normal cases, you don’t need to call this method, since the Image class automatically loads an opened image when it is accessed for the first time.
+
+(New in 1.1.6) In 1.1.6 and later, load returns a pixel access object that can be used to read and modify pixels. The access object behaves like a 2-dimensional array, so you can do:
+
+pix = im.load()
+print pix[x, y]
+pix[x, y] = value
+
+Access via this object is a lot faster than getpixel and putpixel.
+'''
+