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# Load a pre-trained model for feature extraction model = VGG16(weights='imagenet', include_top=False, pooling='avg')
print(features) This example uses a VGG16 model to extract features from an image. Adjustments would be needed based on the actual content of your file and the task you're tackling. 小妹еђ-е€иЂЃеё€ (01).rar
# Convert image to input for the model x = image.img_to_array(img) x = np.expand_dims(x, axis=0) x = preprocess_input(x) # Load a pre-trained model for feature extraction
# Load your image img_path = "path_to_your_image.jpg" img = image.load_img(img_path, target_size=(224, 224)) 小妹еђ-е€иЂЃеё€ (01).rar






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