训练过程中eval评测准确率，部分类别mAP=nan

[sakurasakura1996]

在训练自定义的数据集时，我总共有6类，我在训练过程中，测试准确率时，有几个类别的准确率是nan。请问有人遇到过吗，问题出现在什么地方。
[2020-10-11 16:54:01,960]-[train.py line:168]:boerner --> mAP : nan
INFO:YOLOv4:boerner --> mAP : nan
[2020-10-11 16:54:01,960]-[train.py line:168]:linnaeus --> mAP : nan
INFO:YOLOv4:linnaeus --> mAP : nan
[2020-10-11 16:54:01,960]-[train.py line:168]:armandi --> mAP : 0.6948593548804081
INFO:YOLOv4:armandi --> mAP : 0.6948593548804081
[2020-10-11 16:54:01,960]-[train.py line:168]:coleoptera --> mAP : 0.7212601708662137
INFO:YOLOv4:coleoptera --> mAP : 0.7212601708662137
[2020-10-11 16:54:01,960]-[train.py line:168]:leconte --> mAP : nan
INFO:YOLOv4:leconte --> mAP : nan
[2020-10-11 16:54:01,961]-[train.py line:168]:acuminatus --> mAP : 0.2419924563113839
INFO:YOLOv4:acuminatus --> mAP : 0.2419924563113839
[2020-10-11 16:54:01,961]-[train.py line:171]:mAP : nan
INFO:YOLOv4:mAP : nan

[sakurasakura1996]

解决了，原来是我的数据集类别名有些问题。