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added review changes
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@ -39,14 +39,13 @@ class Buffalo_L(FacialRecognition):
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logger.info(f"Created directory: {buffalo_l_dir}")
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weights_path = weight_utils.download_weights_if_necessary(
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file_name=model_rel_path,
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source_url="https://drive.google.com/uc?export=download&confirm=pbef&id=1N0GL-8ehw_bz2eZQWz2b0A5XBdXdxZhg" #pylint: disable=line-too-long
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file_name=model_rel_path,
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source_url="https://drive.google.com/uc?export=download&confirm=pbef&id=1N0GL-8ehw_bz2eZQWz2b0A5XBdXdxZhg" #pylint: disable=line-too-long
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)
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if not os.path.exists(weights_path):
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raise FileNotFoundError(f"Model file not found at: {weights_path}")
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else:
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logger.debug(f"Model file found at: {weights_path}")
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logger.debug(f"Model file found at: {weights_path}")
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self.model = get_model(weights_path)
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self.model.prepare(ctx_id=-1, input_size=self.input_shape)
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@ -65,8 +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("Input must have shape (112, 112, 3) or (batch_size, 112, 112, 3).")
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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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# 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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