Invalid argument: Invalid JPEG data or crop window, ：不完整的jpeg图像检测（已经解决

训练网络需要大量的数据，这些数据小则十几G，大则几百G，而且下载又非常慢，所以经常出现图像只下载了一半的现象，再用有问题的数据训练网络的时候，很容易出错。

解决办法：

直接修改路径就好了 train_dir

import os

train_dir = '/home/wace/wace/ddddd/fast-neural-style-tensorflow-master/train20144/'

def progress(percent, width=50):
    '''进度打印功能'''
    if percent >= 100:
        percent = 100

    show_str = ('[%%-%ds]' % width) % (int(width * percent / 100) * "#")  # 字符串拼接的嵌套使用
    print('\r%s %d%% ' % (show_str, percent), end='')

def is_valid_jpg(jpg_file):
    with open(jpg_file, 'rb') as f:
        f.seek(-2, 2)
        buf = f.read()
        f.close()
        return buf ==  b'\xff\xd9'  # 判定jpg是否包含结束字段

data_size = len([lists for lists in os.listdir(train_dir) if os.path.isfile(os.path.join(train_dir, lists))])
recv_size = 0
incompleteFile = 0
print('file tall : %d' % data_size)

for file in os.listdir(train_dir):
    if os.path.splitext(file)[1].lower() == '.jpg':
        ret = is_valid_jpg(train_dir + file)
        if ret == False:
            incompleteFile = incompleteFile + 1
            os.remove(train_dir + file)

    recv_per = int(100 * recv_size / data_size)
    progress(recv_per, width=30)
    recv_size = recv_size + 1

progress(100, width=30)
print('\nincomplete file : %d' % incompleteFile)

会直接删除错误的文件。