We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
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
感谢作者的开源,我在自己数据上训练hregnet时遇到一些问题,先训练train_feats.py,训练500epoch,损失值从6.9左右降到6.0左右无法下降了,我想请问一下这个值正常吗?接着我在训练train_reg.py,损失值从7.0左右降到5.0左右,收敛速度比较慢,请问一下您在kitti数据上训练的损失值最终能降到多少啊?是否有哪些参数需要调整
The text was updated successfully, but these errors were encountered:
@1404561326521 您好,train_feats的过程需要先训练detector,然后训练descriptor,不太确定您的损失值是哪个步骤下的;train_reg.py的损失值一般跟最后的精度直接相关,kitti上的损失值可以降到0.1以下(具体值有些忘了)。
Sorry, something went wrong.
No branches or pull requests
感谢作者的开源,我在自己数据上训练hregnet时遇到一些问题,先训练train_feats.py,训练500epoch,损失值从6.9左右降到6.0左右无法下降了,我想请问一下这个值正常吗?接着我在训练train_reg.py,损失值从7.0左右降到5.0左右,收敛速度比较慢,请问一下您在kitti数据上训练的损失值最终能降到多少啊?是否有哪些参数需要调整
The text was updated successfully, but these errors were encountered: