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

Evaluating Trained Models #69

Open
1 task
peterdavidfagan opened this issue Nov 17, 2023 · 0 comments
Open
1 task

Evaluating Trained Models #69

peterdavidfagan opened this issue Nov 17, 2023 · 0 comments

Comments

@peterdavidfagan
Copy link

peterdavidfagan commented Nov 17, 2023

Hi there,

Thank you for open-sourcing this repository. I am in the process of evaluating the trained models on my own image data so I can include them in a ROS 2 grasping package. I am currently struggling to get the trained models to work well. I am evaluating the following model, below are my initial qualitative results.

Note: RGB image is actually BGR below but this has been fixed in latest code and the results remain the same.

Screenshot from 2023-11-17 16-25-06

I plan to update my iterations on this in the following issue including sharing code.

Current Thoughts:

  • Is the model overfitted to the camera pose/s in the Cornell Grasping Dataset?
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