Ce projet essai, en partant d'une IMAGESOURCE de : - appliquer des effets à l'image - la redimmensionner - changer son mode de couleur - la HAACHEER...
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.

40 lines
1.1 KiB

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
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.