# Generate features def generate_features(model, images): features = [] for img in images: feature = model.predict(img) features.append(feature) return features
# Define the model for feature extraction def create_vgg16_model(): model = VGG16(weights='imagenet', include_top=False, pooling='avg') return model ALS SCAN pics.zip
import numpy as np from tensorflow.keras.applications import VGG16 from tensorflow.keras.preprocessing import image from tensorflow.keras.applications.vgg16 import preprocess_input import os from PIL import Image import tensorflow as tf # Generate features def generate_features(model