转换成tfrecords格式之后，打印图片，发现部分图片和标签不一致

[学机器学习的科比]

def get_file(file_dir): #'C:\\Users\\Administrator\\catdog2'

images=[]
temp=[]
for root,sub_folders,files in os.walk(file_dir):
#print(sub_folders)
for name in files:
images.append(os.path.join(root,name))
for name in sub_folders:
temp.append(os.path.join(root,name))
# print(os.path.join(root,name))
labels=[]
for one_folders in temp:
n_ming=len(os.listdir(one_folders))
#print(n_ming)​def get_file(file_dir): #'catdog2'

images=[]
temp=[]
for root,sub_folders,files in os.walk(file_dir):
#print(sub_folders)
for name in files:
images.append(os.path.join(root,name))
for name in sub_folders:
temp.append(os.path.join(root,name))
# print(os.path.join(root,name))
labels=[]
for one_folders in temp:
n_ming=len(os.listdir(one_folders))
#print(n_ming)
letter=one_folders.split('\\')[-1]
#print(letter)
if letter=='girls':
labels=np.append(labels,n_ming*[0])
else:
labels=np.append(labels,n_ming*[1])
temp=np.array([images,labels])
temp=temp.transpose()
#np.random.shuffle(temp)

image_list=list(temp[:,0])
label_list=list(temp[:,1])
label_list=[int(float(i)) for i in label_list]
return image_list,label_list
image_list,label_list=get_file('C:\\Users\\Administrator\\girlboy1')
print(image_list)
print(label_list)

def int64_feature(value):
return tf.train.Feature(int64_list=tf.train.Int64List(value=[value]))

def bytes_feature(value):
return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))
def convert_to_tfrecord(images_list,labels_list,save_dir,name):
filename=os.path.join(save_dir,name+'.tfrecords')
#filename=name+'.tfrecords'
n_samples=len(labels_list)
writer=tf.python_io.TFRecordWriter(filename)
print('\nTransform start...')
for i in range(0,n_samples):
#try:
image=cv2.imread(images_list[i])
#print(images_list[i])
image_raw=image.tobytes()
label=labels_list[i]#转换成整数形式
#print(labels_list[i])
example=tf.train.Example(features=tf.train.Features(
feature={
'label':int64_feature(label),
'image_raw':bytes_feature(image_raw)
}))
writer.write(example.SerializeToString())
#except IOError as e:
#print('Could not read:',images[i])
writer.close()
print('Transform done!')

不知道是哪里出现了问题，中间打印了图片和label，发现也一一对应，就是打印出来的时候有的图片不对应