from keras.preprocessing.image import ImageDataGenerator, load_img, img_to_array
img = load_img("IMG_5208.jpg",target_size = (256,256))
x=img_to_array(img)
x就是图片对应的数组
然后再进行一些归一化处理就好了。
比如:
x = x.astype('float32')/255
x -= x_train_mean
from keras.preprocessing.image import ImageDataGenerator, load_img, img_to_array
img = load_img("IMG_5208.jpg",target_size = (256,256))
x=img_to_array(img)
x就是图片对应的数组
然后再进行一些归一化处理就好了。
比如:
x = x.astype('float32')/255
x -= x_train_mean