import cv2
import sys
import os
import numpy as np

file = "test.jpg"
if len(sys.argv)>1:
    file = sys.argv[1]
if not os.path.exists(file):
    raise f"Datei {file} nicht gefunden!"

def readAndConvert(file):
    return cv2.cvtColor(cv2.imread(file), cv2.COLOR_BGR2GRAY)/255  # Conversion to float in 0..1

def toBWSimple(img):
    c = np.copy(img)
    h,w = c.shape
    for y in range(h):
        for x in range(w):
            if img[y,x]<0.5:
                c[y,x] = 0
            else:
                c[y,x] = 1.0
    return c

def floydSteinberg(img):
    c = np.copy(img)
    h,w = c.shape
    #
    # TODO
    #
    return c


img = readAndConvert(file)
print(img.shape)
cv2.imshow('Image', img)
cv2.waitKey(1000)
c = toBWSimple(img)
cv2.imshow('Image', c)
cv2.waitKey(1000)
c = floydSteinberg(img)
cv2.imshow('Image', c)
cv2.waitKey(10000)