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] Is it possible to use community frame processor plugins on still images? #3456

Open
2 tasks done
tuncaulubilge opened this issue Mar 12, 2025 · 4 comments
Open
2 tasks done
Labels
✨ feature Proposes a new feature or enhancement

Comments

@tuncaulubilge
Copy link

What feature or enhancement are you suggesting?

This library has a great community around it that built various plugins based on MLKit, such as background removal, object detection, text detection etc. Is it possible to utilise these plugins on still images as well?

What Platforms whould this feature/enhancement affect?

Android, iOS

Alternatives/Workarounds

No existing workarounds apart from building a custom native module

Additional information

@tuncaulubilge tuncaulubilge added the ✨ feature Proposes a new feature or enhancement label Mar 12, 2025
Copy link

Guten Tag, Hans here! 🍻

Zis is a valid question, and it seems you’re interested in using community frame processor plugins on still images, which ze library supports primarily for real-time video. Currently, we do not have native support for processing still images directly with those plugins. However, it might be possible to use custom solutions or native modules, like you suggested.

If you would like to dive deeper, consider investigating some community plugins or implementing your own. And don't forget, supporting ze project by sponsoring mrousavy helps keep ze magic going!

Note: If you think I made a mistake, please ping @mrousavy to take a look.

@tuncaulubilge
Copy link
Author

Good bot :)

I understand this is out of the original scope of the library, but given that there aren't many options for mlkit based image processing in React Native, this could be an easy win.

I'll try to hack around and see if I can run these frame processors on images without the Live Camera. @mrousavy, if you have any pointers or previous examples on how to get this running, that'd be really appreciated 🙏

@mrousavy
Copy link
Owner

maybe after the nitro rewrite

@mrousavy
Copy link
Owner

then every Image can be a Frame

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

No branches or pull requests

2 participants