我想使用mobileNet来获取数据集中存在的所有图像的特征。但是提到的错误不断弹出。
产生错误的完整代码为：
'

from keras.applications import MobileNet
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Model
from keras.applications.mobilenet import preprocess_input

# Load the MobileNet model
base_model = MobileNet(weights='imagenet', include_top=False)

# Define the data generator
data_generator = ImageDataGenerator(preprocessing_function=preprocess_input)

# Create the data generator for the custom dataset
image_generator = data_generator.flow_from_directory(
        'C:/Users/mahit/OneDrive/Pictures/Desktop/DATA AND VIDEOS//16k_images',
        target_size=(224, 224),
        batch_size=1,
        class_mode=None,
        shuffle=False)

# Obtain the image features
image_features = base_model.predict(image_generator, 16042)

# Save the image features to a file
np.save('mobilenet_image_features.npy', image_features)

'
完整错误如下所示：

我想获取图像特征并将其保存在一个.npy文件中。但这个错误不断出现。