import tensorflow as tf
from tensorflow.keras.applications import VGG16

image = tf.keras.preprocessing.image.load_img('image.jpg', target_size=(224, 224))
image = tf.keras.preprocessing.image.img_to_array(image)
image = tf.keras.applications.vgg16.preprocess_input(image)
vgg_model = VGG16(weights='imagenet', include_top=False)
intermediate_layer_model = tf.keras.Model(inputs=vgg_model.input, outputs=vgg_model.get_layer('block4_pool').output)
features = intermediate_layer_model.predict(np.expand_dims(image, axis=0))

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