各位C友看到了知道的话解答一下吧

# Writeresults保存预测结果
for xyxy, conf, cls in reversed(det):
    # 将每个图片的预测信息分别存入savedir/labels下的xxx.txt中每行:classid xywh score（conf就是置信分值在这里就定score）
    if save_txt:
        c1, c2 = (int(xyxy[0]), int(xyxy[1])), (int(xyxy[2]), int(xyxy[3]))
        xywh = (xyxy2xywh(torch.tensor(xyxy)).view(1,4))/gn).view(-1).tolist() # 归一化(x, y)的位置，将左上角右下角数值变为x, y中心
        save_conf = float(conf) if opt.save_conf else ()
        line = (int(c1[0]), int(c1[1]), int(c2[0]), int(c1[1]), int(c2[0]), int(c2[1]), int(c1[0]), int(c2[1]), int(cls), save_conf) if opt.sa
        with open(txt_path, 'a') as f:
            f.write(' '.join([str(item) for item in line]) + '\n') # 将line中的元素转换为字符串并连接为一行，然后写入文件