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

Question about training on combined datasets #39

Open
MHoef opened this issue Aug 31, 2017 · 0 comments
Open

Question about training on combined datasets #39

MHoef opened this issue Aug 31, 2017 · 0 comments

Comments

@MHoef
Copy link

MHoef commented Aug 31, 2017

Hi everyone,
i want to train on several datasets, lets say Kitti2012&Kitti2015 or Kitti2012&Middlebury.

The first idea was to combine the datasets in data.kitti/unzip/training/... and data.kitti2015/unzip/training/.... But i´m not quite sure if this is right due to different binary files like metadata.bin or dispnoc.bin.

Then i saw the option "-at" in the main.lua with an if-case opt.at == 1 then..., where the tensors of kitti2012&2015 will be concatenated.

So the questions are:

  • Is the network trained on kitti12/15, when i simply add the "-at 1" option in the command?
  • and is this also possible for the Middlebury dataset?
    Many thanks in advance!

Regards,
Marc

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

1 participant