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detector/yolo_utils: indentation, remove unused variable
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@ -15,7 +15,6 @@ def yolov8_preprocess(tensor_input, model_input_shape):
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def yolov8_postprocess(model_input_shape, tensor_output, box_count = 20):
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def yolov8_postprocess(model_input_shape, tensor_output, box_count = 20):
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model_box_count = tensor_output.shape[2]
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model_box_count = tensor_output.shape[2]
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model_class_count = tensor_output.shape[1] - 4
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probs = tensor_output[0, 4:, :]
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probs = tensor_output[0, 4:, :]
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all_ids = np.argmax(probs, axis=0)
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all_ids = np.argmax(probs, axis=0)
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all_confidences = probs.T[np.arange(model_box_count), all_ids]
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all_confidences = probs.T[np.arange(model_box_count), all_ids]
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