我正在尝试从一堆图像创建全景图，因此从 github 下载了一个存储库。现在，当我运行程序时，我不知道为什么，但是 python 崩溃了，我的终端出现了分段错误。我目前正在 pycharm 上运行它。我的所有图像都已加载，然后崩溃，然后显示错误。我想从视频文件或长场景的一堆帧创建全景图。在这个程序中。我只是想读取那个文件夹中的文件，然后开始一个一个地拼接它们以获得最终图像。

这是错误

INFO:root:从 /Users/akshayacharya/Desktop/Panorama/Raw Data/Office data/frame030.png 读取图像 信息:root:从 /Users/akshayacharya/Desktop/Panorama/Raw Data/Office data/frame024.png 读取图像

zsh：分段错误 python3 image_stitching.py --display

I have attached a snapshot of my screen as well for reference

#!/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',help='disable all logging')
    parser.add_argument('-d','--display',dest='display',help="display result")
    parser.add_argument('-s','--save',dest='save',help="save result to file")
    parser.add_argument("--save_path",dest='save_path',default="stitched.png",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,help='min correspondences')
    args = parser.parse_args()

    if args.debug:
        logging.basicConfig(level=logging.DEBUG)
    else:
        logging.basicConfig(level=logging.INFO)
    logger = logging.getLogger("main")

    logging.info("beginning sequential matching")
    print(cv2.__version__)

    #if helpers.is_cv2():
    sift = cv2.SIFT()
    #elif helpers.is_cv3():
        #sift = cv2.xfeatures2d.SIFT_create()
    #else:
        #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:
        #print(image_path)
        if not os.path.exists(image_path):
            logging.error('{0} is not a valid path'.format(image_path))
            continue
        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:
                    print(file_path)
                    image_paths.append(os.path.join(image_path,file_path))
            continue

        logging.info("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
            continue

        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")
            continue

        logger.debug("computing homography between accumulated and new images")
        H,mask = cv2.findHomography(matches_src,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'):
                break

        result_gry = cv2.cvtColor(result,cv2.COLOR_RGB2GRAY)

    logger.info("processing complete!")

    if args.display and not args.quiet:
        cv2.destroyAllWindows()
    if args.save:
        logger.info("saving stitched image to {0}".format(args.save_path))
        helpers.save_image(args.save_path,result)