Errors using large scale images

The problem I encountered was that I used tif images with a size of 1g, using cv2.imshow, it showed an error, when I used small images, there was no such error

code

import os
os.environ["OPENCV_IO_MAX_IMAGE_PIXELS"] = pow(2, 40).__str__()

import numpy
import cv2

img = cv2.imread('G04002.tif', 1)

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)  # siva slika
cv2.imshow('gray', gray)

vis = img.copy()

ret, thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)
cv2.imshow('thresh', thresh)

mser = cv2.MSER_create()
#mser = cv2.MSER_create(_min_area=2, _max_area=1000)
regions = mser.detectRegions(thresh)

hulls = [cv2.convexHull(p.reshape(-1, 1, 2)) for p in regions[0]]
cv2.polylines(vis, hulls, 1, (0, 255, 0))

cv2.imshow('mser', vis)

cv2.waitKey(0)

Start with the Python example using cv2.imread, cv2.cvtColor, cv2.imshow, thresholding, and MSER on the referenced 1 GB TIFF, then compare its behavior with a smaller image. Capture the exact error and determine which operation fails; done means the large-image workflow has a reproducible diagnosis and a verified correction or documented limitation.