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.

Sign up for GitHub

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

Jump to bottom

添加对Florence2模型的支持 #679

Open
1 of 2 tasks
woddle opened this issue Oct 15, 2024 · 1 comment
Open
1 of 2 tasks

添加对Florence2模型的支持 #679

woddle opened this issue Oct 15, 2024 · 1 comment
Labels
enhancement New feature or request

Comments

@woddle
Copy link

woddle commented Oct 15, 2024

Search before asking

  • I have searched the X-AnyLabeling issues and found no similar feature requests.

Description

Florence2具有很有的零样本泛化能力，是否可以支持

Use case

可以不需要提前训练情况下支持进行目标检测，方便了标注，提高了标注效率

Additional

无

Are you willing to submit a PR?

  • Yes I'd like to help by submitting a PR!
@woddle woddle added the enhancement New feature or request label Oct 15, 2024
@CVHub520
Copy link
Owner

Hello, @woddle!

Thank you for bringing this to our attention. Deploying a model in X-AnyLabeling is quite simple and direct. You can follow the instructions provided in this tutorial. Please note that converting your model to ONNX format is not required. For guidance, please refer to this example.

Warm regards,
X-AnyLabeling Maintainer

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
enhancement New feature or request
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@woddle @CVHub520