quadrant.py

from PIL import Image
from PIL import ImageFilter
import numpy as np
img = Image.open('65.png').convert('RGBA')




CROP_LOCATIONS = {
    # L, T, R, B
    "FIRST_QUADRANT": (0,0,360,360),
    "SECOND_QUADRANT": (360,0,720,360),
    "THIRD_QUADRANT": (0,360,360,720),
    "FOURTH_QUADRANT": (360,360,720,720)
}

print( CROP_LOCATIONS )

img = img.crop(CROP_LOCATIONS["FOURTH_QUADRANT"])
#print(img.getpixel((0,1)))
#data = np.asarray(img)

#search_val  = True
# print( len( np.where(data == search_val)[0].tolist() ) )
img.save('greyscale.png')