from keras.preprocessing.image import ImageDataGenerator
from keras.preprocessing import image
import matplotlib.pyplot as plt
import numpy as np
import pylab
img_generator = ImageDataGenerator(
    rotation_range = 90,
width_shift_range = 0.2,
height_shift_range = 0.2,
zoom_range = 0.3
)

# 匯入並顯示圖片
img_path = 
 
'G:\\100000.jpg'
img = image.load_img(img_path)
print(type(img))
# plt.imshow(img)
# pylab.show()
#img.show()
# 將圖片轉為陣列
x = image.img_to_array(img)
# 擴充一個維度
x = np.expand_dims(x, axis=0)
# 生成圖片
gen = img_generator.flow(x, batch_size=2)


# 顯示生成的圖片
plt.figure()
for i in range(1):
for j in range(1):
x_batch = 
 
next(gen)
        print(type(x_batch),x_batch.shape)
        idx = (1*i) + j
        plt.subplot(1, 1, idx+1)
        plt.imshow(x_batch[0]/255)

pylab.show()