import cv2
image = cv2.imread("1.jpg")
import numpy as np

def viewImage(image, name_of_window):
    cv2.namedWindow(name_of_window, cv2.WINDOW_NORMAL)
    cv2.imshow(name_of_window, image)
    cv2.waitKey(0)
    cv2.destroyAllWindows()


gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
ret, threshold_image = cv2.threshold(gray_image, 127, 255, 0)
viewImage(threshold_image, "Чёрно-белый пёсик")

for y in range(0, threshold_image.shape[0]):  #looping through each rows
    for x in range(0, threshold_image.shape[1]): #looping through each column
        if np.any(img[x, y] == 0):
            print(x, y)