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UI becomes slow after 300-400 annotations #39
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@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.
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