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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。
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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I have searched the DAMO-YOLO issues and found no similar questions.
Question
the damo-yolo very similar with yolox, but traning on my custome dataset damo-yolo traning time x3 by comparison with yolox, why?
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The text was updated successfully, but these errors were encountered:
Bump. I'm facing the same issue where the training time is around 5 days on 3 3090s with batch size 192 and size of dataset ~400k images. The number of workers is set to 8.
As a result, I looked at the caching method in YOLOX and tried to apply it in DAMO-YOLO, the ETA was reduced from 2 days 18 hours to 8 hours, but I'm not sure that this did not affect the performance of the model - I'm conducting an experiment for evaluation.
It would be great if the authors added caching of the dataset
Before Asking
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。
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 damo-yolo very similar with yolox, but traning on my custome dataset damo-yolo traning time x3 by comparison with yolox, why?
Additional
No response
The text was updated successfully, but these errors were encountered: