applying_preprocessing.py

# Creating batches of the train, valid and test images and Pre-processing using mobilenet preprocess model
train_batches = ImageDataGenerator(preprocessing_function=tf.keras.applications.mobilenet.preprocess_input).flow_from_directory(
    directory=train_path, target_size=(224,224), batch_size=10, shuffle=True)

valid_batches = ImageDataGenerator(preprocessing_function=tf.keras.applications.mobilenet.preprocess_input).flow_from_directory(
    directory=valid_path, target_size=(224,224), batch_size=10, shuffle=True)

test_batches = ImageDataGenerator(preprocessing_function=tf.keras.applications.mobilenet.preprocess_input).flow_from_directory(
    directory=test_path, target_size=(224,224), batch_size=10, shuffle=False)