batch为灰色，既无报错也不生成

Question

代码中batch为灰色怎么回事，既无报错也不生成，数据为一通道L模式图片，平台为pycharm，目的为多方式批量扩充生成新的数据集

import pandas
from keras.preprocessing.image import ImageDataGenerator
import os
import time

# 定义扩充图片函数
from keras.utils import load_img

def image_expansion(filepath,savefilepath,multiples=20):
    """
    :param filepath: 图片路径
    :param savefilepath: 扩充保存图片路径
    :param multiples: 扩充倍数，默认扩充20倍
    :return: 返回扩充后数据集
    """
    # keras中可以通过keras.preprocessing.image.ImageDataGenerator类来实现
    datagen = ImageDataGenerator(
            rotation_range=40,
            width_shift_range=0.2,
            height_shift_range=0.2,
            shear_range=0.2,
            zoom_range=0.2,
            horizontal_flip=True,
            fill_mode='nearest')

    for parent, dirnames, filenames in os.walk(filepath):
        for filename in filenames:
            image_path=filepath+filename
            print(image_path)
            img = load_img(image_path)
            x = pandas.array(img)
            x = x.shape
            i = 1
            for batch in datagen.flow(x, batch_size=32,
                                      save_to_dir=savefilepath,
                                      save_prefix='r',
                                      save_format='jpg'):
                print('正在扩充图片数据集第'+str(i)+'张')
                i += 1
                if i >multiples:
                    break

if __name__ == '__main__':

    # 设置图片路径
    filepath = 'C:/Users/ASUS/Dektop/R/benign/'

    # 设置扩充保存图片路径
    savefilepath = 'C:/Users/ASUS/Desktop/R/r-benign/'

    time1 = time.time()
    image_expansion(filepath,savefilepath,multiples=5)
    time2=time.time()
    print('总共耗时：' + str(time2 - time1) + 's')

Answer 1

这个灰色并不说明什么问题，你看下运行是否真的运行了。