DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
[X] I have read the README carefully. 我已经仔细阅读了README上的操作指引。
[ ] I want to train my custom dataset, and I have read the tutorials for finetune on your data carefully and organize my dataset correctly; 我想训练自定义数据集，我已经仔细阅读了训练自定义数据的教程，以及按照正确的目录结构存放数据集。
[X] I have pulled the latest code of main branch to run again and the problem still existed. 我已经拉取了主分支上最新的代码，重新运行之后，问题仍不能解决。
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[X] I have searched the DAMO-YOLO issues and found no similar questions.
Question
The learning rate reported on your paper is 0.4, but it is 0.01/64 256 (link) and 0.001/64 256 (link) in your code.
Before Asking
[X] I have read the README carefully. 我已经仔细阅读了README上的操作指引。
[ ] I want to train my custom dataset, and I have read the tutorials for finetune on your data carefully and organize my dataset correctly; 我想训练自定义数据集，我已经仔细阅读了训练自定义数据的教程，以及按照正确的目录结构存放数据集。
[X] I have pulled the latest code of main branch to run again and the problem still existed. 我已经拉取了主分支上最新的代码，重新运行之后，问题仍不能解决。
Search before asking
Question
The learning rate reported on your paper is 0.4, but it is 0.01/64 256 (link) and 0.001/64 256 (link) in your code.
I wonder which one is correct? Thanks!
Additional
No response