使用Imagedatagenerator进行图像分割

Question

我很困惑下面的代码中的图像和遮罩是什么意思？

image_datagen.fit(images, augment=True, seed=seed)
mask_datagen.fit(masks, augment=True, seed=seed)

下面的代码是在Tensorflow documentaion中提供的使用ImageDataGenerator遮罩的示例。

# we create two instances with the same arguments
data_gen_args = dict(featurewise_center=True,
                     featurewise_std_normalization=True,
                     rotation_range=90.,
                     width_shift_range=0.1,
                     height_shift_range=0.1,
                     zoom_range=0.2)
image_datagen = ImageDataGenerator(**data_gen_args)
mask_datagen = ImageDataGenerator(**data_gen_args)

# Provide the same seed and keyword arguments to the fit and flow methods
seed = 1
image_datagen.fit(images, augment=True, seed=seed)
mask_datagen.fit(masks, augment=True, seed=seed)

image_generator = image_datagen.flow_from_directory(
    'data/images', target_size=(img_row, img_col), color_mode='grayscale', 
    class_mode=None,
    seed=seed, save_to_dir='data/aug_images')

mask_generator = mask_datagen.flow_from_directory(
    'data/masks', target_size=(img_row, img_col), color_mode='grayscale',
    class_mode=None,
    seed=seed, save_to_dir='data/aug_images')

# combine generators into one which yields image and masks
train_generator = zip(image_generator, mask_generator)

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

预先感谢