keras ImageDataGenerator目标数据

Question

According to this page we can build a generator using the ImageDataGenerator class (and flow_from_directory method) that we can pass to model.fit_generator method in keras; like this:

train_datagen = ImageDataGenerator(rescale=1./255)

train_generator = train_datagen.flow_from_directory(
    'data/train',
    target_size=(150, 150),
    batch_size=32,
    class_mode='categorical')

model.fit_generator(
    train_generator,
    steps_per_epoch=2000,
    epochs=50)

But in the flow_from_directory method it only get the images for training from the directory and not the target labels because, while in normal model.fit method you pass the target data as a parameter, model.fit_generator accept only the generator of the training images; so where does it takes the expected output ?

Answer 1

flow_from_dictionary表示“每个类应包含一个子目录”，这是因为子目录的名称将是该类的标签，因此，如果要在适当的标签目录中包含猫和狗的图片，则标签应为狗和猫，这很可能是您要寻找的东西，我记得使用了这样的功能，如果它改变了，我什么也不能说