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

Depth maps in training set and testing set #23

Closed
SPengLiang opened this issue Jul 8, 2020 · 5 comments
Closed

Depth maps in training set and testing set #23

SPengLiang opened this issue Jul 8, 2020 · 5 comments

Comments

@SPengLiang
Copy link

Hello, I'm using the pre-trained model from Dorn, but I found that depth errors in KITTI testing set are much bigger than KITTI training set. I wanna know that is the issue that also existing in your experiments? Thank you very much!

@dingmyu
Copy link
Owner

dingmyu commented Jul 8, 2020

Hi SPeng,

Do you mean the error between the DORN depth map and the GT depth? Sorry we didn't measure this error. For both the training set and test set, we use the depth map as input and measure the 3D detection error.

Regards,
Mingyu

@SPengLiang
Copy link
Author

Thank you for your reply. Firstly, I project the lidar to the image plane, and then as groundtruth to measure the depth error with predicted depth maps. However, I found that depth errors in the testing set are much higher than those in the training set. Can you provide your depth maps in the testing set? I'll very much appreciate it if you can. Thank you!

@dingmyu
Copy link
Owner

dingmyu commented Jul 8, 2020

Sure, it can be found here.

We also uploaded a copy in Google Drive, Thanks.

Originally posted by @dingmyu in #10 (comment)

@SPengLiang
Copy link
Author

Okey! Thank you so much! You are really a so niceeeeeeee guy!

@dingmyu
Copy link
Owner

dingmyu commented Jul 8, 2020

Thank you : )

Should you have further questions please feel free to reopen this issue.

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