---

import cv2

image = cv2.imread("Слайд9.PNG")

black = ((0, 0, 0), (180, 255, 100))

def find_contours(img, color):
    img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
    img_mask = cv2.inRange(img_hsv, color[0], color[1])
    contours, _ = cv2.findContours(img_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
    return contours

def detect_arrow_direction(contours):
    cnt = max(contours, key=cv2.contourArea)

    M = cv2.moments(cnt)

    if M["m00"] == 0:
        return None

    cx = int(M["m10"] / M["m00"])
    cy = int(M["m01"] / M["m00"])

    x, y, w, h = cv2.boundingRect(cnt)

    box_center_x = x + w / 2
    box_center_y = y + h / 2

    if w > h:
        if cx > box_center_x:
            return "left"
        else:
            return "right"
    else:
        if cy > box_center_y:
            return "up"
        else:
            return "down"

contours = find_contours(image, black)
print(detect_arrow_direction(contours))