PIL/Pillow IOError：无法识别图像文件u'xxxx.jpg'(仅限Windows)

Question

我已经构建了Python脚本，它在OS X/Linux上运行良好，但我在Windows中遇到了问题（请参阅标题）。它使用Pillow模块，错误源自2274线上的模块PILImage.py。

我的代码：

# -*- coding: utf-8 -*-
import os
import sys
import urllib2
from PIL import Image, ImageFile
from PyPDF2 import PdfFileReader, PdfFileWriter, PdfFileMerger
from bs4 import BeautifulSoup
ImageFile.LOAD_TRUNCATED_IMAGES = True
def parser():
    try:
        return sys.argv[1].lower()
    except IndexError:
        print 'no argument specified'

the_url = 'http://www.oldgames.sk'
base_url = the_url + '/mags/'
# Add magazines + relative URLs here
magazines = {
        'score': 'score/',
        'level': 'level/',
        'amiga': 'amiga-magazin/',
        'bit': 'bit/',
        'commodore': 'commodore-amater/',
        'CGW': 'cgw/',
        'excalibur': 'excalibur/',
        'hrac': 'hrac-cz/',
        'joystick': 'joystick-sk/',
        'pocitac-aktivne': 'pocitac-aktivne/',
        'pocitacove-hry': 'pocitacove-hry/',
        'riki': 'riki/',
        'zzap64': 'zzap64/'}
issue_links = []
download_list = {}
def parse_args(arg):
    if arg == '--list':
        items = [i for i in magazines.keys()]
        for item in items:
            print item
        sys.exit()
    elif arg in magazines:
        print "Scraping %s magazine..." % arg.capitalize()
        return base_url + magazines[arg]
    else:
        return sys.exit('invalid magazine name')
def extract_links_to_issue(url):
    soup = BeautifulSoup(urllib2.urlopen(url))
    for div in soup.findAll('div','mImage'):
        issue_links.append(the_url + div.a['href'])
    print 'Scraped %d links' % len(issue_links)
def issue_renamer(issue_name):
    char1 = '\'
    char2 = '/'
    replacement = '-'
    if char1 in issue_name:
        issue_name = issue_name.replace(char1, replacement)
        print 'inv. char (%s): renaming to %s' % (char1, issue_name)
    elif char2 in issue_name:
        issue_name = issue_name.replace(char2, replacement)
        print 'inv. char (%s): renaming to %s' % (char2, issue_name)
    return issue_name
def extract_links_to_images(issue_links):
    for index, link in enumerate(issue_links):
        print 'Scraping issue #%d: %s' % (index + 1, link)
        issue_soup = BeautifulSoup(urllib2.urlopen(link))
        image_list = []
        for image in issue_soup.findAll('div', 'mags_thumb_article'):
            issue_name = issue_renamer(issue_soup.findAll('h1','top')[0].text)
            image_list.append(the_url + image.a['href'])
        download_list[issue_name] = image_list
def clean_up(list_of_files, list_of_pdfs):
    num = len(list_of_files) + len(list_of_pdfs)
    for file in list_of_files:
        os.remove(file)
    for pdf in list_of_pdfs:
        os.remove(pdf)
    print 'Cleaned up %d files' % num
def convert_images(list_of_files, issue):
    list_of_pdfs = []
    for index, file in enumerate(list_of_files):
        im = Image.open(file)
        outfile = file + '.pdf'
        im.save(outfile, 'PDF')
        list_of_pdfs.append(outfile)
        print 'converting ...' + str((index + 1)) + '/' + str(len(list_of_files))
    final_pdf = PdfFileMerger()
    for pdf in list_of_pdfs:
        final_pdf.append(open(pdf, 'rb'))
    issue_name = issue + '.pdf'
    final_pdf.write(open(issue_name, 'wb'))
    final_pdf.close()
    print '--- PDF completed ---'
    clean_up(list_of_files, list_of_pdfs)
def download_images(download_list):
    for issues,image_list in download_list.items():
        print 'Preparing %s ...' % issues
        list_of_files = []
        for image in image_list:
            image_name = os.path.split(image)[1]
            list_of_files.append(image_name)
            f = open(image_name, 'w')
            f.write(urllib2.urlopen(image).read())
            print 'Downloading image: %s' % image
            f.close()
        convert_images(list_of_files, issues)

arg = parser()
extract_links_to_issue(parse_args(arg))
extract_links_to_images(issue_links)
download_images(download_list)

我想解决这个问题，有人能帮我吗？

Answer 1

您正在将图像复制到以文本模式打开的文件中：

f = open(image_name, 'w')
f.write(urllib2.urlopen(image).read())

在Windows上，这意味着任何0A（换行）字节都被转换为0D 0A字节序列（回车，换行），因为这是Windows的行分隔符。

以二进制模式打开文件:

f = open(image_name, 'wb')
f.write(urllib2.urlopen(image).read())

我会切换到使用该文件作为上下文管理器（使用with语句），这样您就不必手动关闭它，并使用shutil.copyfileobj()将数据直接流式传输到磁盘（以块为单位），而不是一次性将整个图像读取到内存中：

import shutil
# ...
with open(image_name, 'wb') as f:
    shutil.copyfileobj(urllib2.urlopen(image), f)