Python crashes and shows segmentation error

Hi. I am trying to create a panorama from a bunch of images and so had downloaded a repo from github. Now when i run the program, I am not sure why but python crashes and I get a segmentation error on my terminal. I am currently runnning it on pycharm. All my images are loaded and then it crashes and and then displays the error.

This is the error
INFO:root:reading image from /Users/akshayacharya/Desktop/Panorama/Raw Data/Office data/frame030.png
INFO:root:reading image from /Users/akshayacharya/Desktop/Panorama/Raw Data/Office data/frame024.png
zsh: segmentation fault python3 --display

Below is my code

#!/usr/bin/env python

-- coding: utf-8 --

author = ‘Will Brennan’

Built-in Modules

import os
import argparse
import logging

import cv2

import helpers
from combine import combine_images
from helpers import *
from matching import compute_matches

if name == ‘main’:
parser = argparse.ArgumentParser(description=doc)
#parser.add_argument(‘image_paths’, type=str, nargs=’+’, help=“paths to one or more images or image directories”)
parser.add_argument(’-b’, ‘–debug’, dest=‘debug’, action=‘store_true’, help=‘enable debug logging’)
parser.add_argument(’-q’, ‘–quiet’, dest=‘quiet’, action=‘store_true’, help=‘disable all logging’)
parser.add_argument(’-d’, ‘–display’, dest=‘display’, action=‘store_true’, help=“display result”)
parser.add_argument(’-s’, ‘–save’, dest=‘save’, action=‘store_true’, help=“save result to file”)
parser.add_argument("–save_path", dest=‘save_path’, default=“stitched.png”, type=str, help=“path to save result”)
parser.add_argument(’-k’, ‘–knn’, dest=‘knn’, default=2, type=int, help=“Knn cluster value”)
parser.add_argument(’-l’, ‘–lowe’, dest=‘lowe’, default=0.7, type=float, help=‘acceptable distance between points’)
parser.add_argument(’-m’, ‘–min’, dest=‘min_correspondence’, default=10, type=int, help=‘min correspondences’)
args = parser.parse_args()

if args.debug:
logger = logging.getLogger("main")"beginning sequential matching")

#if helpers.is_cv2():
sift = cv2.SIFT()
#elif helpers.is_cv3():
    #sift = cv2.xfeatures2d.SIFT_create()
    #raise RuntimeError("error! unknown version of python!")

result = None
result_gry = None

flann = cv2.FlannBasedMatcher({'algorithm': 0, 'trees': 5}, {'checks': 50})

image_paths = ["/Users/akshayacharya/Desktop/Panorama/Raw Data/Office data/"]
image_index = -1
for image_path in image_paths:
    if not os.path.exists(image_path):
        logging.error('{0} is not a valid path'.format(image_path))
    if os.path.isdir(image_path):
        extensions = [".jpeg", ".jpg", ".png"]
        for file_path in os.listdir(image_path):
            if os.path.splitext(file_path)[1].lower() in extensions:
                image_paths.append(os.path.join(image_path, file_path))
        continue"reading image from {0}".format(image_path))
    image_colour = cv2.imread(image_path)
    image_gray = cv2.cvtColor(image_colour, cv2.COLOR_RGB2GRAY)

    image_index += 1

    if image_index == 0:
        result = image_colour
        result_gry = image_gray

    logger.debug('computing sift features')
    features0 = sift.detectAndCompute(result_gry, None)
    features1 = sift.detectAndCompute(image_gray, None)

    matches_src, matches_dst, n_matches = image_stitching.compute_matches(features0, features1, flann, knn=args.knn)

    if n_matches < args.min_correspondence:
        logger.error("error! too few correspondences")

    logger.debug("computing homography between accumulated and new images")
    H, mask = cv2.findHomography(matches_src, matches_dst, cv2.RANSAC, 5.0)
    result = combine_images(image_colour, result, H)

    if args.display and not args.quiet:
        helpers.display('result', result)
        if cv2.waitKey(25) & 0xFF == ord('q'):

    result_gry = cv2.cvtColor(result, cv2.COLOR_RGB2GRAY)"processing complete!")

if args.display and not args.quiet:
if"saving stitched image to {0}".format(args.save_path))
    helpers.save_image(args.save_path, result)!

Screen Shot 2021-01-19 at 15.35.09|690x431

Try with only two images- Does it crash?
Please close this issue