-
Notifications
You must be signed in to change notification settings - Fork 3.1k
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
UI becomes slow after 300-400 annotations #39
Comments
@wronk , We will look at the problem. If you can provide us your image + annotation file it will help us to reproduce it easily on our side. Probably our tool isn't optimized for such cases. Need to check how to improve it. |
Also I remember that we had similar problems for semantic/instance segmentation and Boris fixed similar issues. If it is the case the problem will be fixed with next major release. |
@nmanovic, thanks for checking into this. Here are both files -- let me know if you have any problems or need more help. |
Could you please look at the problem? Was it fixed already? |
Hi @wronk,
We will work to resolve both problems. Thanks for your feedback. |
Hey @nmanovic, I think I've gotten this working. I do have 2 versions of the image, but I think I have the correct one included here. I was able to remake the task with the included files. I did have an issue where I had to manually change the version tags in the annotation file to get it to sync properly to a newly created task. Specifically, these lines in the xml file need to match the task you create (e.g., task
Let me know if that fixes it for you |
I'm labeling large satellite images with hundreds to a few thousand objects of interest.
I noticed that after about 300-400 annotations, the UI slows down. It might take the program ~1 sec to become responsive again after creating a new bbox. After about 800-1000 annotations, it's nearly unusable -- adding an annotation might require ~5 seconds before it will register. For now, I'm just cropping my large images into smaller pieces as a workaround, but it'd be a lot nicer to add all annotations to a single large image (as raw satellite imagery often comes in fairly long strips). I'm using a 2017 MacBook pro to do the labeling.
I don't know enough about the backend to suggest a fix, but happy to answer questions if it's helpful.
The text was updated successfully, but these errors were encountered: