Created
August 6, 2016 01:37
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Inspired by a recent standupmaths video
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# Nathan Craddock 2016 | |
from PIL import Image | |
size = (256, 256) | |
num_pixels = size[0] * size[1] | |
# Returns the list of base 256 colors | |
def get_pixel_colors(n): | |
color_values = [] | |
for i in reversed(range(num_pixels)): | |
m = n % pow(256, i) | |
if m != n: | |
color_values.append(n // pow(256, i)) | |
n = m | |
else: | |
color_values.append(0) | |
return color_values | |
# Returns the number from a list of pixel colors | |
def get_number_from_pixels(n): | |
total = 0 | |
for index, i in enumerate(reversed(range(num_pixels))): | |
total += n[i] * pow(256, index) | |
return total | |
# Open an image, and convert to a number | |
def open_image(path): | |
image = Image.open(path).convert('P') | |
pixels = image.load() | |
flattened = [] | |
for y in range(image.size[1]): | |
for x in range(image.size[0]): | |
flattened.append(pixels[x, y]) | |
return get_number_from_pixels(flattened) | |
# TODO: make this work for variable sizes | |
# Take a number, and save it as an image | |
def save_image(n, filename): | |
pattern = get_pixel_colors(n) | |
image = Image.new('P', size) | |
i = 0 | |
pixels = image.load() | |
for y in range(image.size[1]): | |
for x in range(image.size[0]): | |
pixels[x, y] = pattern[i] | |
i += 1 | |
image.save(filename + '.png') | |
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