this generates huge amounts of code for any mp4 you give it

competition_crusher.py

import cv2
import random

VIDEO_FILE="test.mp4"
WIDTH=40
HEIGHT=30
FRAMERATE=4
COMPRESSION=2 # [0, 1, 2]

code = open("test_code.txt", "w")

def do_patch(image, last_image, key_frame=True):
    w = image.shape[0]
    h = image.shape[1]

    for y in range(0, h):
        for x in range(0, w):
            dif0 = abs(int(image[x, y, 0]) - int(last_image[x, y, 0]))
            dif1 = abs(int(image[x, y, 1]) - int(last_image[x, y, 1]))
            dif2 = abs(int(image[x, y, 2]) - int(last_image[x, y, 2]))
            dif = max(dif0, dif1, dif2)
            if((dif >= (26 * COMPRESSION) or key_frame)):
                line = "p {} {} {} {} {} ".format(y, x, image[x, y, 2] // 26, image[x, y, 1] // 26, image[x, y, 0] // 26)
                code.write(line)
                last_image[x,y] = image[x,y]
    
    code.write("d ")

def do_resize(image):
    return cv2.resize(image, (WIDTH, HEIGHT))

video = cv2.VideoCapture(VIDEO_FILE)
success, image = video.read()
resized = do_resize(image)
last_image = resized

code.write("to p [x y r g b] ask patch x (0 - y) [ set pcolor (list (r * 25) (g * 25) (b * 25)) ]end ")
code.write("to d display end ")
code.write("to go ")
frame = 0
while (success):
    resized = do_resize(image)
    frame += 1

    if(frame % (30/FRAMERATE) == 0):
        do_patch(resized, last_image, False)
    success, image = video.read()
code.write("\nend\n")
code.flush()
code.close()