预标注标签导入失败

[urbaneman]

我现在想将nuScenes数据集转换到Xtreme1格式，进行Lidar Fusion的标注，目前已完成了相机内外参的转换和数据到导出，且观察标注框的点云重投影符合预期，以上是背景。
现在我想进一步的将nuScenes数据集GT导出为预标注，方便进行任意模型生成伪标签，在进一步进行人工标注，我按照 issue 85 中的实例json导出了GT，但是upload - Contains annotation result - Ground Truth，提示 success with error，后端错误如下

 backend-1                       | 2025-08-07 09:38:30.048  INFO 1 --- [pool-6-thread-5] ai.basic.x1.usecase.UploadDataUseCase    : Get data content,frameName:ca9a282c9e77460f8360f564131a8af5,content:[{"name":"camera_config","type":"directory","files":[{"name":"ca9a282c9e77460f8360f564131a8af5.json","fileId":7299,"type":"file"}]},{"name":"camera_image_0","type":"directory","files":[{"name":"ca9a282c9e77460f8360f564131a8af5.jpg","fileId
":7295,"type":"file"}]},{"name":"camera_image_1","type":"directory","files":[{"name":"ca9a282c9e77460f8360f564131a8af5.jpg","fileId":7296,"type":"file"}]},{"name":"camera_image_2","type":"directory","files":[{"name":"ca9a282c9e77460f8360f564131a8af5.jpg","fileId":7300,"type":"file"}]},{"name":"camera_image_3","type":"directory","files":[{"name":"ca9a282c9e77460f8360f564131a8af5.jpg","fileId":7302,"type":"file"}]},{"name":"camera_image_4","type":"directory","files":[{"name":"ca9a282c9e77460f8360f564131a8af5.jpg","fileId":7298,"type":"file"}]},{"name":"camera_image_5","type":"directory","files":[{"name":"ca9a282c9e77460f8360f564131a8af5.jpg","fileId":
7297,"type":"file"}]},{"name":"lidar_point_cloud_0","type":"directory","files":[{"name":"ca9a282c9e77460f8360f564131a8af5.pcd","fileId":7301,"type":"file"}]}]                                                             backend-1                       | 2025-08-07 09:38:30.049  INFO 1 --- [pool-6-thread-5] ai.basic.x1.usecase.UploadDataUseCase    : dataStart,dataName:e0845f5322254dafadbbed75aaa07969,dataFiles:[e0845f5322254dafadbbed75aaa07969.jpg, e0845f5322254dafadbbed75aaa07969.jpg, e0845f5322254dafadbbed75aaa07969.jpg, e0845f5322254dafadbbed75aaa07969.jpg, e0845f5322254dafadbbed75aaa07969.json, e0845f5322254dafadbbed75aaa07969.jpg, e0845f5322254dafadbbed75aaa07969.pcd, e0845f5322254dafadbbed75aaa07969.jpg]
backend-1                       | 2025-08-07 09:38:30.050  INFO 1 --- [pool-6-thread-5] ai.basic.x1.usecase.UploadDataUseCase    : dataResult,dataName:e0845f5322254dafadbbed75aaa07969,resultFileName:e0845f5322254dafadbbed75aaa07969.json                                                                                                                                                                                                          backend-1                       | 2025-08-07 09:38:30.053 ERROR 1 --- [pool-6-thread-5] ai.basic.x1.usecase.UploadDataUseCase    : Objects is empty，dataId:-4814932031563803624,dataName:e0845f5322254dafadbbed75aaa07969
backend-1                       | 2025-08-07 09:38:30.053 ERROR 1 --- [pool-6-thread-5] ai.basic.x1.usecase.UploadDataUseCase    : Handle result json error,userId:2,datasetId:16                                          backend-1                       |                                                                                                                                                                                          backend-1                       | java.lang.NullPointerException: null
backend-1                       |       at ai.basic.x1.usecase.UploadDataUseCase.handleDataResult(UploadDataUseCase.java:679) ~[classes!/:0.9.1-SNAPSHOT]                                                                  backend-1                       |       at ai.basic.x1.usecase.UploadDataUseCase.lambda$commonParseUploadFile$8(UploadDataUseCase.java:505) ~[classes!/:0.9.1-SNAPSHOT]                                                    backend-1                       |       at java.base/java.lang.Iterable.forEach(Iterable.java:75) ~[na:na]                                                                                                                 backend-1                       |       at ai.basic.x1.usecase.UploadDataUseCase.lambda$commonParseUploadFile$9(UploadDataUseCase.java:498) ~[classes!/:0.9.1-SNAPSHOT]
backend-1                       |       at com.alibaba.ttl.TtlRunnable.run(TtlRunnable.java:59) ~[transmittable-thread-local-2.12.6.jar!/:na]                                                                              backend-1                       |       at java.base/java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:515) ~[na:na]                                                                                      backend-1                       |       at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264) ~[na:na]
backend-1                       |       at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1128) ~[na:na]                                                                              backend-1                       |       at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:628) ~[na:na]                                                                              backend-1                       |       at java.base/java.lang.Thread.run(Thread.java:829) ~[na:na]

应该是我导入GT的格式或方式不对，导致无法正确加载标签，报错 Objects is empty，但我的每个实例都有BBOX3d，GT格式如下

"result": {
    "objects": [
      {
        "center3D": {
          "x": 19.025179413330306,
          "y": 49.99464427722978,
          "z": 0.3171291132324794
        },
        "size3D": {
          "x": 0.621,
          "y": 0.669,
          "z": 1.642
        },
        "rotation3D": {
          "x": 0.0,
          "y": 0.0,
          "z": -0.36783709665560094
        },
        "objType": "3d",
        "classType": "pedestrian"
      },
      {
        "center3D": {
          "x": 21.38048967780736,
          "y": 27.767397669925685,
          "z": -0.39279047103981846
        },
        "size3D": {
          "x": 0.775,
          "y": 0.769,
          "z": 1.711
        },
        "rotation3D": {
          "x": 0.0,
          "y": 0.0,
          "z": -1.9704342880396903
        },
        "objType": "3d",
        "classType": "pedestrian"
      }
   ]
}

下面的是我导入的数据集
xtreme1_nuscenes_mini_5.zip

能辛苦提供一个可以正常导入的带有点云GT的示例压缩包吗？
对了，我的环境是最新版本 xtreme1-v0.9.1, upload数据集使用的是Ground Truth选项。

期待您的回复