demo:
ascii art generator
input
output
program
cat.jpg
text
demo:
ascii art generator
How does this work??
First, we need to understand that all colors are just numbers
These are RGB sensors (aka "cones") in the human eye. We have a few million of these, which is equivalent to "megapixels"
Inspired by...
the human eye!!!
where else is this applied?
artificial intelligence: "computer vision"
photobooth effects
SNAPCHAT!!!
functions in ascii-art.py
scale_image(image, new_width=100) # resizes an image convert_to_grayscale(image) # converts image to grayscale map_pixels_to_ascii_chars(image, range_width=25) # maps each pixel to a character based on its number range. 0-255 is divided into 11 ranges of 25 pixels each convert_image_to_ascii(image, new_width=100)
# calls all of the functions above in a specific order, resulting in a string of characters handle_image_conversion(image_filepath) # calls convert_image_to_ascii (above) on the image file provided
import requests
from PIL import Image
ASCII_CHARS = [ '#', '?', '%', '.', 'S', '+', '.', '*', ':', ',', '@']
def scale_image(image, new_width=100):
# resizes an image, slightly adjusting the aspect ratio.
(original_width, original_height) = image.size
aspect_ratio = (original_height/float(original_width)) * .5
new_height = int(aspect_ratio * new_width)
new_image = image.resize((new_width, new_height))
return new_image
def convert_to_grayscale(image):
return image.convert('L')
def map_pixels_to_ascii_chars(image, range_width=25):
# maps each pixel to an ascii char based on the range in which it lies.
# 0-255 is divided into 11 ranges of 25 pixels each.
pixels_in_image = list(image.getdata())
pixels_to_chars = [ASCII_CHARS[pixel_value//range_width] for pixel_value in
pixels_in_image]
return "".join(pixels_to_chars)
def convert_image_to_ascii(image, new_width=100):
image = scale_image(image)
image = convert_to_grayscale(image)
pixels_to_chars = map_pixels_to_ascii_chars(image)
len_pixels_to_chars = len(pixels_to_chars)
image_ascii = [pixels_to_chars[index: index + new_width] for index in
range(0, len_pixels_to_chars, new_width)]
return "\n".join(image_ascii)
def handle_image_conversion(image_filepath):
image = None
try:
response = requests.get(image_filepath)
image = Image.open(BytesIO(response.content))
except Exception as e:
print("Unable to open image file {image_filepath}.".format(image_filepath=image_filepath))
print(e)
return
image_ascii = convert_image_to_ascii(image)
print(image_ascii)
image_file_path = "https://cdn.citylab.com/media/img/citylab/2018/02/RTR3MXS6/facebook.jpg?1518623597"
handle_image_conversion(image_file_path)This is what I tell people who ask for advice about starting (or pivoting) their career in tech. “Be good at being bad at things,” I say. “You’ll have no idea what you’re doing, so you’ll just keep learning. You won’t get to be the best at everything or even most things or even some things. It’s not possible, and it’s not just you. So get good and comfortable having no idea, but figure out ways to get closer to having an idea.”
–Gina Trapani, Partner & Director of Engineering at Postlight.
Founded ThinkUp, Makerbase, Todo.txt, Lifehacker.
Computer Vision
By Michelle Lim
