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

problems about training dataset #67

Closed
luochunfen opened this issue May 22, 2024 · 1 comment
Closed

problems about training dataset #67

luochunfen opened this issue May 22, 2024 · 1 comment

Comments

@luochunfen
Copy link

Hi authors! I find that you probabilistically choose the KITTI or Hypersim dataset and draw the mini batch from it when you are training. Could you explain the reason for that? Why don't you resize or crop the training dataset to the same size and mix the two datasets to draw the mini batch?

@markkua
Copy link
Member

markkua commented May 24, 2024

It's a design choice. Reasons:

  • Resizing to the same shape would change the aspect ration.
  • Cropping would lose content affect the projective geometry. And the short edge of KITTI is too small.
  • The size of mini batch is only 2.

@markkua markkua closed this as completed May 24, 2024
@markkua markkua mentioned this issue May 25, 2024
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