# Function to extract features def extract_features(generator): features = [] labels = [] for i in range(len(generator)): imgs, batch_labels = generator.next() batch_features = feature_extractor.predict(imgs) features.append(batch_features) labels.append(batch_labels) features = np.concatenate(features) labels = np.concatenate(labels) return features, labels
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# Create a new model to output features from the base model feature_extractor = Model(inputs=model.input, outputs=base_model.output) uncitmaza hot
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