from PIL import Image import random # NOTE: Feel free to add in any constant values...

Question

Question

from PIL import Image import random # NOTE: Feel free to add in any constant values...

from PIL import Image
import random

# NOTE: Feel free to add in any constant values you find useful to use
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)

# NOTE: Feel free to add in any helper functions to organize your code but
# do NOT rename any existing functions (or else, autograder
# won't be able to find them!!)

# NOTE: The following function is already completed for you as an example
# You can use the structure of this function as a guide for the rest
# This function will NOT be graded, so no need to edit any of it.
def remove_red(img: Image) -> Image:
"""
Given an Image, img, update the img to have all the reds in the original
image turned to 0 intensity. Return img.
"""

img_width, img_height = img.size
pixels = img.load() # create the pixel map

# for every pixel
for i in range(img_width):
for j in range(img_height):
r, g, b = pixels[i, j]
pixels[i, j] = (0, g, b)

return img

# NOTE: The following function is already completed for you as well
# This function will NOT be graded, so no need to edit any of it.
def scale_new_image(orig_img, goal_width: int = None, goal_height: int = None):
"""
Create and return a new image which resizes the given original Image,
orig_img to a the given goal_width and goal_height. If no goal dimensions
are provided, scale the image down to half its original width and height.
Return the new image.
"""

orig_width, orig_height = orig_img.size
orig_pixels = orig_img.load()

if not goal_width and not goal_height:
goal_width, goal_height = orig_width//2, orig_height//2

img = Image.new('RGB', (goal_width, goal_height))
new_pixels = img.load()

width_factor = goal_width / orig_width
height_factor = goal_height / orig_height

for i in range(goal_width):
for j in range(goal_height):
new_pixels[i, j] = orig_pixels[i // width_factor, j // height_factor]
return img

# NOTE: The following function is partially completed to get you started
# Complete the function according to the docstring description
def greyscale(img: Image) -> Image:
"""
Change the Image, img, to greyscale by taking the average color of each
pixel in the image and set the red, blue and green values of the pixel
with that average. Return img.
"""

img_width, img_height = img.size
pixels = img.load() # create the pixel map

# for every pixel
for i in range(img_width):
for j in range(img_height):

# YOUR CODE HERE -- delete these filler lines once you put your code in
pass

return img

# TODO: COMPLETE THE REST OF THE FUNCTIONS ACCORDING TO THEIR DOCSTRINGS
# NOTE: Remember, you can and should add in helper functions to organize
# your code, when applicable

def black_and_white(img: Image) -> Image:
"""
Given an Image, img, update the img to have ONLY black or white pixels.
Return img.

Hints:
- Get the average color of each pixel
- If the average is higher than the "middle" color (i.e. 255/2),
change it to white; if it's equal to or lower, change it to black
"""