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Update README.md

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@@ -96,13 +96,13 @@ NOTE: This pipline has just the overlook and the basic parameters any additional
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  # Load ResNet50 model
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  model = ResNet50(weights="imagenet", include_top=False, pooling="avg")
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  def extract_features(image_path):
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- from PIL import Image
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- image = Image.open(image_path).convert("RGB")
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  image = image.resize((224, 224))
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- image_array = np.array(image).astype("float32")
 
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  image_array = preprocess_input(image_array)
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- image_array = np.expand_dims(image_array, axis=0)
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  features = model.predict(image_array)
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  return features.flatten()
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  ```
 
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  # Load ResNet50 model
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  model = ResNet50(weights="imagenet", include_top=False, pooling="avg")
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+ from PIL import Image
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  def extract_features(image_path):
 
 
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  image = image.resize((224, 224))
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+ image_array = np.array(image)
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+ image_array = np.expand_dims(image_array, axis=0).astype("float32")
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  image_array = preprocess_input(image_array)
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+
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  features = model.predict(image_array)
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  return features.flatten()
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  ```