image is too big for OpenCV imshow window, how do I make it smaller?

I’m comparing two images – a complete image & a small part of the same image. If a match is found, then a rectangular box is drawn around that part of the image which contains the smaller image.

To implement this, I have used the matchTemplate method.

The code works as expected, but if the original image’s dimensions are 1000 PPI or above, then the image gets cut when displaying the output, hence, the sub-image cannot be highlighted.

Is there a way to fix this?

My code –>

import cv2
import numpy as np
img = cv2.imread("C:Imagesbig_image.png")
grey_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
template = cv2.imread("C:Imagessub_image.png", 0)
w, h = template.shape[::-1]

res = cv2.matchTemplate(grey_img, template, cv2.TM_CCOEFF_NORMED)
print(res)
threshold = 0.9;
loc = np.where(res >= threshold)
print(loc)
for pt in zip(*loc[::-1]):
    cv2.rectangle(img, pt, (pt[0] + w, pt[1] + h), (0, 0, 255), 2)

cv2.imshow("img", img)
cv2.waitKey(0)
cv2.destroyAllWindows()