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

How to apply the code to the TUM dataset? #77

Open
njustymk opened this issue Apr 27, 2021 · 2 comments
Open

How to apply the code to the TUM dataset? #77

njustymk opened this issue Apr 27, 2021 · 2 comments

Comments

@njustymk
Copy link

Hi:
I want to apply this code to the TUM dataset. What changes should I make?thank you very much!!!

@JiawangBian
Copy link
Owner

It is similar to train on the NYUv2 dataset.

  1. You need to downsample the video. For example, pick one image from every 10 images.
  2. You may train the model on rescaled images e.g., 256x320.
  3. Optionally, you can rectify images (i.e, warp image pairs so that they do not have relative rotation) for better performance.

@njustymk
Copy link
Author

It is similar to train on the NYUv2 dataset.

  1. You need to downsample the video. For example, pick one image from every 10 images.
  2. You may train the model on rescaled images e.g., 256x320.
  3. Optionally, you can rectify images (i.e, warp image pairs so that they do not have relative rotation) for better performance.

Thank you very much for your reply, I will try your method,Thanks again!

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