def analysis_yolov8(frame, model_coco, labels_names, confidence_set):

    # 第一步：用COCO数据集推理
    results_coco = model_coco(frame)

    re_list = []

    if results_coco:

        for r in results_coco:

            boxes = r.boxes

            idx = 0

            for box in boxes:

                idx += 1
                # get box coordinates in (top, left, bottom, right) format
                b = box.xyxy[0]
                c = box.cls

                # 保存标签和坐标值作为返回结果
                blist = b.tolist()
                labels_name = model_coco.names[int(c)]
                confidence = float(box.conf)
                confidence = round(confidence, 2)

                # 过滤置信度以下目标
                if confidence < confidence_set:

                    continue

                if labels_name in labels_names:
                    # 一个结果字典
                    re_dict = {labels_name: blist}

                    re_list.append(re_dict)

    return re_list