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I have 12 4K images which I have annotated with polygons. When I try to download the annotation with the segmentation mask, it takes a long time. I am still waiting from more 1 hours. The website console seems normal and no errors are issued.
Current Behaviour
To my understanding, changing the points to a mask shall be very fast and should not take a long time.
Steps to Reproduce (for bugs)
upload 12 4K images.
upload annotations for about 3000 polygons.
then try to dump the annotations with segmentation mask.
Context
The images are aerial images and they contain very small to big polygons.
Your Environment
Operating System Linux: Ubuntu 16.04
Cvat version v1.2.0-alpha
The text was updated successfully, but these errors were encountered:
Hi, could you check server load during exporting? Is it possible that there is high RAM consumption and swapping happens? You can check it, for instance, with docker exec -it cvat htop.
I checked and found out dumping annotations for the Segmentation Mask utilizes a lot of RAM while monitoring HTOP. That was the reason that it was taking too long and crashed after that.
For instance, I wanted to dump an annotation for an image with the size of 5616x3744px containing polygon annotations.
About 60GB of RAM was used until the download file got ready. Unfortunately, my laptop crashed due to no having enough RAM, so I resorted a server to be able to dump the annotations.
To my understanding converting annotation points to an image format shall not use a lot of RAM memory. So I am still wondering what the reason might be.
My actions before raising this issue
Expected Behaviour
I have 12 4K images which I have annotated with polygons. When I try to download the annotation with the segmentation mask, it takes a long time. I am still waiting from more 1 hours. The website console seems normal and no errors are issued.
Current Behaviour
To my understanding, changing the points to a mask shall be very fast and should not take a long time.
Steps to Reproduce (for bugs)
Context
The images are aerial images and they contain very small to big polygons.
Your Environment
The text was updated successfully, but these errors were encountered: