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

Automatic annotation with pose model #8622

Closed
2 tasks done
manu13008 opened this issue Oct 31, 2024 · 1 comment
Closed
2 tasks done

Automatic annotation with pose model #8622

manu13008 opened this issue Oct 31, 2024 · 1 comment
Labels
enhancement New feature or request

Comments

@manu13008
Copy link

Actions before raising this issue

  • I searched the existing issues and did not find anything similar.
  • I read/searched the docs

Is your feature request related to a problem? Please describe.

I read previous issues with answers saying it was not possible actually to load a pose estimation model to perform automatic annotation with skeleton (#6497 ).

Is this feature still unavailable actually ? If no, is there any guidelines showing how to implement it ?

Thanks

Describe the solution you'd like

I trained a Yolo11n-pose model on a specific dataset and I would like to load this model in my cvat self hosted version to perform automatic annotation on a larger dataset.

Describe alternatives you've considered

No response

Additional context

No response

@manu13008 manu13008 added the enhancement New feature or request label Oct 31, 2024
@bsekachev
Copy link
Member

The feature is available. You may find reference model recognizing skeletons in open source: https://github.com/cvat-ai/cvat/tree/develop/serverless/pytorch/mmpose/hrnet32/nuclio

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement New feature or request
Projects
None yet
Development

No branches or pull requests

2 participants