我正在使用Ultralytics YOLO进行车牌检测，在尝试从Results.boxes对象中提取边界框坐标时遇到了问题。我已经检查了Results.boxes对象的结构，但很难正确访问边界框信息。

class ImageProcessing:
    def __init__(self, model_path: Path, input_image: Path, output_image: Path):
        if not isinstance(model_path, Path):
            raise TypeError("model_path must be a pathlib.Path instance")
        if not isinstance(input_image, Path) or not isinstance(output_image, Path):
            raise TypeError("input_image and output_image must be pathlib.Path instances")
        # Load the YOLO model from the provided path
        self.model = YOLO(str(model_path))
        self.input_image = input_image
        self.output_image = output_image

    def ascertain_license_plates_as_image(self, threshold: float = 0.5, fontscale: float = 1.3, color: tuple = (0, 255, 0), thickness: int = 3):
        image = opencv.imread(str(self.input_image))
        results = self.model(image)

        # Check if results is a list and get the first result
        if isinstance(results, list):
            results = results[0]

        # Iterate through each detected object
        for box in results.boxes:
            # Extract coordinates, confidence, and class ID
            x1, y1, x2, y2, conf, class_id = box.data[0][0], box.data[0][1], box.data[0][2], box.data[0][3], box.conf.item(), int(box.cls.item())
            if conf > threshold:
                opencv.rectangle(image, (int(x1), int(y1)), (int(x2), int(y2)), color, thickness)
                label = results.names[class_id].upper() if results.names else f'class {class_id}'
                opencv.putText(image, label, (int(x1), int(y1) - 10), opencv.FONT_HERSHEY_SIMPLEX, fontscale, color, thickness, opencv.LINE_AA)

        opencv.imwrite(str(self.output_image), image)
        return results

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然而，我得到了一个IndexError，似乎我的索引对于这个特定的Boxes对象是不正确的。或者更糟糕的是，cv2没有突出显示车牌。