如何在不循环的情况下将数据增强后的图像保存在新文件夹中

Question

我正在尝试将我的增强图像保存在文件夹中，但循环正在无限次执行。我的文件夹中有 5000 张图像，但我得到的增强图像数量是无限的。我的目标是获得相同数量的增强图像，即 5000 张。

谢谢

import numpy as np
from keras.preprocessing.image import ImageDataGenerator
datagen = ImageDataGenerator(rotation_range=90)
image_path = 'C:/Users/1/Desktop/DEEP/Dataset/Train/1training_c10882.png'
image = np.expand_dims(imageio.imread(image_path), 0)
save_here = 'D:/Augmented DATASET/'
generator = datagen.flow_from_directory('C:/Users/1/Desktop/DEEP/Dataset/Train',target_size=(224,224),
batch_size = 256, class_mode = 'binary')
for inputs,outputs in generator:
pass

Answer 1

也许这会对你有所帮助。

from keras.preprocessing.image import ImageDataGenerator, array_to_img, img_to_array, load_img
datagen = ImageDataGenerator(shear_range=0.2, zoom_range=0.2) 
for f in filenames:
img = load_img(f)  
x = img_to_array(img) 
# Reshape the input image 
x = x.reshape((1, ) + x.shape)  
i = 0
# generate 5 new augmented images 
for batch in datagen.flow(x, batch_size = 1, 
save_to_dir ='aug',  
save_prefix ='car', save_format ='jpeg'):
i += 1
if i > 5: 
break