Masks, coordinates and loop in Python

I'm starting with Python and I wanted to know if someone could help me, I need to mask a fragment of an image through a mask, and then store the coordinate values and use them for another loop to scroll through the other images inside the folder to which they correspond.

What I have is the following:

# import the necessary packages
import argparse
import cv2
import numpy as np

# initialize the list of reference points and boolean indicating
# whether cropping is being performed or not
refPt = []
cropping = False

def click_and_crop(event, x, y, flags, param):
    # grab references to the global variables
    global refPt, cropping

    # if the left mouse button was clicked, record the starting
    # (x, y) coordinates and indicate that cropping is being
    # performed
    if event == cv2.EVENT_LBUTTONDOWN:
        refPt = [(x, y)]
        cropping = True

    # check to see if the left mouse button was released
    elif event == cv2.EVENT_LBUTTONUP:
        # record the ending (x, y) coordinates and indicate that
        # the cropping operation is finished
        refPt.append((x, y))
        cropping = False

        # draw a rectangle around the region of interest
        cv2.rectangle(image, refPt[0], refPt[1], (0, 255, 0), 2)
        cv2.imshow("image", image)

# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", default="./clarin/00000004.jpg",help="Path to the image")
args = vars(ap.parse_args())

# load the image, clone it, and setup the mouse callback function
image = cv2.imread(args["image"])
clone = image.copy()
cv2.namedWindow("image")
cv2.setMouseCallback("image", click_and_crop)

# keep looping until the 'q' key is pressed
while True:
    # display the image and wait for a keypress
    cv2.imshow("image", image)
    key = cv2.waitKey(1) & 0xFF

    # if the 'r' key is pressed, reset the cropping region
    if key == ord("r"):
        image = clone.copy()

    # if the 'c' key is pressed, break from the loop
    elif key == ord("c"):
        break

# if there are two reference points, then crop the region of interest
# from teh image and display it
if len(refPt) == 2:
    roi = clone[refPt[0][1]:refPt[1][1], refPt[0][0]:refPt[1][0]]
    cv2.imshow("ROI", roi)
    cv2.waitKey(0)


# close all open windows
cv2.destroyAllWindows()

So I look for the first image that I will use as a model, and I can cut the fragment that I need and show it in another frame, now, I want to use the coordinates that this section brings me and that it executes this same procedure automatically in the rest of the images in my folder. in this case I am using newspapers and cutting the title, which tend to be located in the same place usually, to see how the training occurs.

If someone can help me, I'd really appreciate it, kisses!