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added review changes
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@ -64,7 +64,7 @@ class Buffalo_L(FacialRecognition):
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if len(img.shape) == 3:
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img = np.expand_dims(img, axis=0) # Convert single image to batch of 1
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elif len(img.shape) != 4:
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raise ValueError(f"Input must have shape (112, 112, 3) or (X, 112, 112, 3). Got {img.shape}")
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raise ValueError(f"Input must be (112, 112, 3) or (X, 112, 112, 3). Got {img.shape}")
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# Convert RGB to BGR for the entire batch
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img = img[:, :, :, ::-1]
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return img
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@ -92,4 +92,5 @@ class Buffalo_L(FacialRecognition):
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embeddings.append(embedding.flatten().tolist())
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# Return single embedding if batch_size is 1, otherwise return list of embeddings
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return embeddings[0] if batch_size == 1 else embeddings
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return embeddings[0] if batch_size == 1 else embeddings
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