Reyuu/img2ascii.py

## img2ascii.py
from PIL import Image
import math

# open and load image
img = Image.open("image.jpg")
img.load()

# convert to grayscale
img = img.convert("L")

# define density string, try out different ones!
#density_string = "◙◘■▩●▦▣◚◛◕▨▧◉▤◐◒▮◍◑▼▪◤▬◗◭◖◈◎◮◊◫▰◄◯□▯▷▫▽◹△◁▸▭◅▵◌▱▹▿◠◃◦◟◞◜"
#density_string = "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. "
#density_string = "@QB#NgWM8RDHdOKq9$6khEPXwmeZaoS2yjufF]}{tx1zv7lciL/\\|?*>r^;:_\"~,'.-`"
density_string = "@$BGOUou{[(|!=*+-\"'. "
cutout_white = 3
cutout_black = 0

# incorporate cutouts to tweak the brightness ramp
density_string = " " * cutout_black + density_string + " " * cutout_white

# map values
# i'm too stupid for this, check out the SO below
# https://stackoverflow.com/a/45389903
def mapFromTo(x,a,b,c,d):
   y=(x-a)/(b-a)*(d-c)+c
   return y

buffer = ""
for y in range(img.height):
    row = ""
    for x in range(img.width):
        # since image is grayscale, it only has 1 value - how bright (or dark) a pixel is
        brightness = img.getpixel((x, y))
        # map the value to a range and floor it -> this will become a character from density string
        mapped_value = math.floor(mapFromTo(brightness, 0, 255, 0, len(density_string)))
        # get character from density string
        char = density_string[mapped_value]
        # add space and character to a row, the space helps with formatting
        row += " "+char
    # add the row to a buffer with a newline
    buffer += f"{row}\n"

# save output as a HTML, for easier viewing
with open("main.html", "w", encoding="utf-8") as f:
    buffer = """
            <html>
            <head>
            <style>
            html{
                background-color: black;
                color: white;
            }
            </style>
            </head>
            <body>
            <pre>""" + buffer + """
            </pre>
            </body>
            """
    f.write(buffer)
	from PIL import Image
	import math

	# open and load image
	img = Image.open("image.jpg")
	img.load()

	# convert to grayscale
	img = img.convert("L")

	# define density string, try out different ones!
	#density_string = "◙◘■▩●▦▣◚◛◕▨▧◉▤◐◒▮◍◑▼▪◤▬◗◭◖◈◎◮◊◫▰◄◯□▯▷▫▽◹△◁▸▭◅▵◌▱▹▿◠◃◦◟◞◜"
	#density_string = "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\\|()1{}[]?-_+~<>i!lI;:,\"^`'. "
	#density_string = "@QB#NgWM8RDHdOKq9$6khEPXwmeZaoS2yjufF]}{tx1zv7lciL/\\\|?*>r^;:_\"~,'.-`"
	density_string = "@$BGOUou{[(\|!=*+-\"'. "
	cutout_white = 3
	cutout_black = 0

	# incorporate cutouts to tweak the brightness ramp
	density_string = " " * cutout_black + density_string + " " * cutout_white

	# map values
	# i'm too stupid for this, check out the SO below
	# https://stackoverflow.com/a/45389903
	def mapFromTo(x,a,b,c,d):
	y=(x-a)/(b-a)*(d-c)+c
	return y

	buffer = ""
	for y in range(img.height):
	row = ""
	for x in range(img.width):
	# since image is grayscale, it only has 1 value - how bright (or dark) a pixel is
	brightness = img.getpixel((x, y))
	# map the value to a range and floor it -> this will become a character from density string
	mapped_value = math.floor(mapFromTo(brightness, 0, 255, 0, len(density_string)))
	# get character from density string
	char = density_string[mapped_value]
	# add space and character to a row, the space helps with formatting
	row += " "+char
	# add the row to a buffer with a newline
	buffer += f"{row}\n"

	# save output as a HTML, for easier viewing
	with open("main.html", "w", encoding="utf-8") as f:
	buffer = """
	<html>
	<head>
	<style>
	html{
	background-color: black;
	color: white;
	}
	</style>
	</head>
	<body>
	<pre>""" + buffer + """
	</pre>
	</body>
	"""
	f.write(buffer)