Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

RuntimeError: shape ‘[30, 5, 6, 13, 13]’ is invalid for input of size 5070 #33

Open
Zhengzkang opened this issue Sep 24, 2022 · 3 comments

Comments

@Zhengzkang
Copy link

Hi,Lee,I want to train VOC2007 and 2012 in which the 20 classes are set to base classes, and my own dataset's 7 classes are set to novel classes,
But, I get a trouble after one epoch training, can you give me some suggestions?
By the way, I run "python train_meta.py cfg/metayolo.data cfg/darknet_dynamic.cfg cfg/reweighting_net.cfg darknet19_448.conv.23
"

@Zhengzkang
Copy link
Author

image

@Zhengzkang
Copy link
Author

如果正常训练VOC的话,可以正常训练,但是加入自己的数据集和类别后,训练1轮或多轮后就会出现这种报错

@shizhongwu
Copy link

如果正常训练VOC的话,可以正常训练,但是加入自己的数据集和类别后,训练1轮或多轮后就会出现这种报错

你好,我在使用作者给定的数据集训练时也遇到了这种情况,我想问一下你这个问题解决了吗?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants