关于训练一半报错的问题

[xumoremore]

你好，这个训练到第10带就报这个错，不知道是什么问题呢。

[eeric]

labels: txt-->xml-->json
This project support to Nanodet project to make official labels.
https://github.com/eeric/yolo2voc2coco

successfully， as following：
[root][12-01 02:42:11]INFO:val|Epoch2/70|Iter123(4940/4952)| lr:1.40e-01| loss_qfl:0.6564| loss_bbox:0.9067| loss_dfl:0.3167|
[root][12-01 02:42:11]INFO:val|Epoch2/70|Iter123(4942/4952)| lr:1.40e-01| loss_qfl:0.3882| loss_bbox:0.7180| loss_dfl:0.2757|
[root][12-01 02:42:12]INFO:val|Epoch2/70|Iter123(4944/4952)| lr:1.40e-01| loss_qfl:0.2997| loss_bbox:0.7028| loss_dfl:0.2815|
[root][12-01 02:42:12]INFO:val|Epoch2/70|Iter123(4946/4952)| lr:1.40e-01| loss_qfl:0.4795| loss_bbox:0.5486| loss_dfl:0.2645|
[root][12-01 02:42:13]INFO:val|Epoch2/70|Iter123(4948/4952)| lr:1.40e-01| loss_qfl:0.4833| loss_bbox:0.8868| loss_dfl:0.2684|
[root][12-01 02:42:14]INFO:val|Epoch2/70|Iter123(4950/4952)| lr:1.40e-01| loss_qfl:0.5885| loss_bbox:0.7382| loss_dfl:0.3275|
Loading and preparing results...
DONE (t=3.01s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type bbox
Loading and preparing results...
DONE (t=2.72s)
creating index...
index created!
Running per image evaluation...
Evaluate annotation type bbox
DONE (t=46.62s).
Accumulating evaluation results...
DONE (t=13.37s).
Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.036
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.074
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.031
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.002
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.019
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.061
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.097