-
Notifications
You must be signed in to change notification settings - Fork 42
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
a question about ATE RMSE results on ScanNet #26
Comments
Hi @wangm-buaa, thank you for your interest in our work. We use Please note that in ScanNet, we run each scene 5 times and report the average results. Also, I did some refactoring of the code in the released version, so you might get slightly better tracking results. |
Thanks for your reply and help! |
Following your discussions, is it for Co-SLAM to have better results if we use |
Hi @ArlenCHEN, we only use the keyframe rays and the corresponding poses for global BA. |
Thanks @HengyiWang. Another question: How do you generate the online reconstruction video? Did you release the code for it? |
Hi, thanks for your excellent work!
I have a question after evaluating scene0000_00 with the code you provided. There are two types results
pose_x.png
andpose_r_x.png
generated by following codes.Co-SLAM/coslam.py
Lines 675 to 676 in 2329d09
It seems that using
pose_relative
can achieve better ATE RMSE result, while the other result is more similar as the one on paper.I wonder which result is the one you provided on paper and why you didn't use the other one.
Thank you!
The text was updated successfully, but these errors were encountered: