训练coco格式的数据集，出现以下这种情况

2021-08-09 13:51:54 | ERROR | yolox.core.launch:91 - An error has been caught in function 'launch', process 'MainProcess' (4300), thread 'MainThread' (140681679290560):
Traceback (most recent call last):

File "/home/warcraft/whrproject/YOLOX-main/tools/train.py", line 124, in
args=(exp, args),
│ └ Namespace(batch_size=32, ckpt='/home/warcraft/whrproject/YOLOX-main/yolox_l.pth', devices=0, dist_backend='nccl', dist_url=No...
└ ╒══════════════════╤═════════════════════════════════════════════════════════════════════════════════════════════════════════...

File "/home/warcraft/whrproject/YOLOX-main/yolox/core/launch.py", line 91, in launch
main_func(*args)
│ └ (╒══════════════════╤════════════════════════════════════════════════════════════════════════════════════════════════════════...
└ <function main at 0x7ff282609cb0>

File "/home/warcraft/whrproject/YOLOX-main/tools/train.py", line 103, in main
trainer.train()
│ └ <function Trainer.train at 0x7ff27c2cee60>
└ <yolox.core.trainer.Trainer object at 0x7ff27aeea310>

File "/home/warcraft/whrproject/YOLOX-main/yolox/core/trainer.py", line 68, in train
self.before_train()
│ └ <function Trainer.before_train at 0x7ff278cc84d0>
└ <yolox.core.trainer.Trainer object at 0x7ff27aeea310>

File "/home/warcraft/whrproject/YOLOX-main/yolox/core/trainer.py", line 149, in before_train
no_aug=self.no_aug,
│ └ False
└ <yolox.core.trainer.Trainer object at 0x7ff27aeea310>

File "/home/warcraft/whrproject/YOLOX-main/yolox/exp/yolox_base.py", line 100, in get_data_loader
max_labels=50,

File "/home/warcraft/whrproject/YOLOX-main/yolox/data/datasets/coco.py", line 49, in init
self.annotations = self._load_coco_annotations()
│ │ └ <function COCODataset._load_coco_annotations at 0x7ff278cce950>
│ └ <yolox.data.datasets.coco.COCODataset object at 0x7ff270374b50>
└ <yolox.data.datasets.coco.COCODataset object at 0x7ff270374b50>

File "/home/warcraft/whrproject/YOLOX-main/yolox/data/datasets/coco.py", line 58, in _load_coco_annotations
return [self.load_anno_from_ids(_ids) for _ids in self.ids]
│ │ │ └ ['0000002_00005_d_0000014', '0000002_00448_d_0000015', '0000003_00231_d_0000016', '0000007_04999_d_0000036', '0000007_05499_d...
│ │ └ <yolox.data.datasets.coco.COCODataset object at 0x7ff270374b50>
│ └ <function COCODataset.load_anno_from_ids at 0x7ff278ccecb0>
└ <yolox.data.datasets.coco.COCODataset object at 0x7ff270374b50>

File "/home/warcraft/whrproject/YOLOX-main/yolox/data/datasets/coco.py", line 58, in
return [self.load_anno_from_ids(_ids) for _ids in self.ids]
│ │ │ │ │ └ ['0000002_00005_d_0000014', '0000002_00448_d_0000015', '0000003_00231_d_0000016', '0000007_04999_d_0000036', '0000007_05499_d...
│ │ │ │ └ <yolox.data.datasets.coco.COCODataset object at 0x7ff270374b50>
│ │ │ └ '0000002_00005_d_0000014'
│ │ └ '0000002_00005_d_0000014'
│ └ <function COCODataset.load_anno_from_ids at 0x7ff278ccecb0>
└ <yolox.data.datasets.coco.COCODataset object at 0x7ff270374b50>

File "/home/warcraft/whrproject/YOLOX-main/yolox/data/datasets/coco.py", line 61, in load_anno_from_ids
im_ann = self.coco.loadImgs(id_)[0]
│ │ │ └ '0000002_00005_d_0000014'
│ │ └ <function COCO.loadImgs at 0x7ff278cce290>
│ └ <pycocotools.coco.COCO object at 0x7ff270374790>
└ <yolox.data.datasets.coco.COCODataset object at 0x7ff270374b50>

File "/home/warcraft/anaconda3/envs/whrtorch/lib/python3.7/site-packages/pycocotools/coco.py", line 265, in loadImgs
return [self.imgs[id] for id in ids]
│ │ └ '0000002_00005_d_0000014'
│ └ {'0000002_00005_d_0000014': {'file_name': '0000002_00005_d_0000014.jpg', 'height': 540, 'width': 960, 'id': '0000002_00005_d_...
└ <pycocotools.coco.COCO object at 0x7ff270374790>
File "/home/warcraft/anaconda3/envs/whrtorch/lib/python3.7/site-packages/pycocotools/coco.py", line 265, in
return [self.imgs[id] for id in ids]
│ │ │ └ '0'
│ │ └ '0'
│ └ {'0000002_00005_d_0000014': {'file_name': '0000002_00005_d_0000014.jpg', 'height': 540, 'width': 960, 'id': '0000002_00005_d_...
└ <pycocotools.coco.COCO object at 0x7ff270374790>

KeyError: '0'

Start in yolox/data/datasets/coco.py at load_anno_from_ids and compare its image IDs with the lookup in pycocotools/coco.py. Reproduce training with the reported COCO dataset and determine why the lookup reaches the missing key '0'; done means the dataset loads without this KeyError.