属性错误：模块'；keras.applications.mobilenet'；没有属性'；预处理'；

我已经导入了预处理模块，但它一直显示相同的错误。我应该如何解决这个错误？ 需要帮助来解决此错误

导入的库如下所示，

import tensorflow as tf
import keras
from tensorflow.keras.preprocessing import image_dataset_from_directory
from keras.preprocessing.image import ImageDataGenerator
from keras.applications import MobileNet
from keras.applications.mobilenet import preprocess_input

train_path = 'eggplant/training'
test_path = 'eggplant/testing'
valid_path = 'eggplant/validation'

train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(train_path, target_size=(224,224), batch_size=10)
train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(valid_path, target_size=(224,224), batch_size=10)
train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(test_path, target_size=(224,224), batch_size=10, shuffle=False)

AttributeError                            Traceback (most recent call last)
<ipython-input-17-fc384b61e2b7> in <module>()
----> 1 train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(train_path, target_size=(224,224), batch_size=10)
      2 train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(valid_path, target_size=(224,224), batch_size=10)
      3 train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(test_path, target_size=(224,224), batch_size=10, shuffle=False)

AttributeError: module 'keras.applications.mobilenet' has no attribute 'preprocess'

图像准备，

import tensorflow as tf
import keras
from tensorflow.keras.preprocessing import image_dataset_from_directory
from keras.preprocessing.image import ImageDataGenerator
from keras.applications import MobileNet
from keras.applications.mobilenet import preprocess_input

train_path = 'eggplant/training'
test_path = 'eggplant/testing'
valid_path = 'eggplant/validation'

train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(train_path, target_size=(224,224), batch_size=10)
train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(valid_path, target_size=(224,224), batch_size=10)
train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(test_path, target_size=(224,224), batch_size=10, shuffle=False)

AttributeError                            Traceback (most recent call last)
<ipython-input-17-fc384b61e2b7> in <module>()
----> 1 train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(train_path, target_size=(224,224), batch_size=10)
      2 train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(valid_path, target_size=(224,224), batch_size=10)
      3 train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(test_path, target_size=(224,224), batch_size=10, shuffle=False)

AttributeError: module 'keras.applications.mobilenet' has no attribute 'preprocess'

错误如下所示，

import tensorflow as tf
import keras
from tensorflow.keras.preprocessing import image_dataset_from_directory
from keras.preprocessing.image import ImageDataGenerator
from keras.applications import MobileNet
from keras.applications.mobilenet import preprocess_input

train_path = 'eggplant/training'
test_path = 'eggplant/testing'
valid_path = 'eggplant/validation'

train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(train_path, target_size=(224,224), batch_size=10)
train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(valid_path, target_size=(224,224), batch_size=10)
train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(test_path, target_size=(224,224), batch_size=10, shuffle=False)

AttributeError                            Traceback (most recent call last)
<ipython-input-17-fc384b61e2b7> in <module>()
----> 1 train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(train_path, target_size=(224,224), batch_size=10)
      2 train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(valid_path, target_size=(224,224), batch_size=10)
      3 train_batches = ImageDataGenerator(preprocessing_function = keras.applications.mobilenet.preprocess.input).flow_from.directory(test_path, target_size=(224,224), batch_size=10, shuffle=False)

AttributeError: module 'keras.applications.mobilenet' has no attribute 'preprocess'

AttributeError回溯（最近一次调用）
在（）
---->1个train_batches=ImageDataGenerator（预处理函数=keras.applications.mobilenet.preprocess.input）。flow_from.directory（train_路径，目标_大小=（224224），batch_大小=10）
2列\u批处理=ImageDataGenerator（预处理\u函数=keras.applications.mobilenet.preprocess.input）。从.directory（有效的\u路径，目标\u大小=（224224），批处理\u大小=10）
3列批处理=ImageDataGenerator（预处理函数=keras.applications.mobilenet.preprocess.input）。从.directory流出（测试路径，目标大小=（224224），批处理大小=10，随机播放=False）
AttributeError:模块“keras.applications.mobilenet”没有属性“preprocess”

您应该使用

preprocess\u input

而不是

preprocess.input

。此外，您还需要将

flow\u from.directory

更改为

flow\u from\u directory