detections = sv.Detections.from_yolov8(yolo_results) detections = detections[detections.confidence > threshold] boxes = detections.xyxy conf = detections.confidence class_ids = detections.class_id results = [] if polygon.shape[0] > 0: for label, score, seg in zip(class_ids, conf, polygon): # 将多边形的点坐标转换为列表形式 points = [[float(coord[0]), float(coord[1])] for coord in seg] results.append({ "confidence": str(score), "label": labels.get(label, "unknown"), "points": points, "type": "polygon",})帮我改

根据您提供的代码片段，以下是修改后的代码：

detections = sv.Detections.from_yolov8(yolo_results)

detections = detections[detections.confidence > threshold]
boxes = detections.xyxy
conf = detections.confidence
class_ids = detections.class_id

results = []

if polygon.shape[0] > 0:
    for label, score, seg in zip(class_ids, conf, polygon):
        # 将多边形的点坐标转换为列表形式
        points = [[float(coord[0]), float(coord[1])] for coord in seg]

        results.append({
            "confidence": str(score),
            "label": labels.get(label, "unknown"),
            "points": points,
            "type": "polygon",
        })

在这个修改后的代码中，将多边形的点坐标转换为列表形式，并将结果添加到 `results` 列表中。每个结果字典包含了置信度、标签、多边形点坐标和类型信息。

请注意，修改后的代码假设 `polygon`、`labels` 和 `threshold` 变量已经在之前的代码中定义或赋值。请确保这些变量的正确性，并根据需要进行调整。