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

Inferencing #2

Open
Sai-Yarlagadda opened this issue Jul 15, 2024 · 1 comment
Open

Inferencing #2

Sai-Yarlagadda opened this issue Jul 15, 2024 · 1 comment

Comments

@Sai-Yarlagadda
Copy link

Sai-Yarlagadda commented Jul 15, 2024

No description provided.

@valerija-h
Copy link
Owner

If you want to make it work for new objects/task categories you will need to build your own OSTOG_physical_experiments.json as the one-shot learning models use it for references. Depending on how comfortable you are with transforming masks you can use MakeSense.AI or CVAT for labeling your own images, which are both free to use.

  • CVAT can export your object/affordance annotations as binary mask images but has a bit more setup
  • MakeSense.AI requires no setup but you may need to convert its exported polygon annotations into binary masks yourself as done when training the segmentation-based models.

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