CellViT
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TIO-IKIM
Big svs Prediction
Hi, when I make a prediction on a svs file of size 191231, 86398 with mpp=0.25, the 128G of RAM just explodes. Any solution for this?
With this information I can’t help you. Please use the provided bug report template and add all necessary information (function call with terminal command, error messages, part of Programm that fails etc.)
Hello, I didn't make any mistakes. When making predictions, I was able to complete them, but when I finally generated the geojson file, my computer got stuck
I have set the num worker too small to run, but there are new errors
Hello. I just used the example you provided, and the model weight used is CellViT-256. I have made many attempts but cannot predict correctly on a machine with 128G memory. Here is the image for the address: https://drive.google.com/file/d/17Wk0LB9dS1pJghlfpqZyh0M2dluVFSSH/view?usp=sharing. Thank you very much for your help.
We are going to investigate this. It seems that the image is very large with a high amount of cells (>2 Mio). Could be the cause. Is it working for smalle images with less than 1 Mio cells?
However, the sample code already saves the full image clipping locally and loads all the predictions during the fusion process? So it causes a memory overflow?
We are going to investigate this. It seems that the image is very large with a high amount of cells (>2 Mio). Could be the cause. Is it working for smalle images with less than 1 Mio cells?
Hi, do you have any workarounds for inferencing on large images? Perhaps reducing the num_worker? I found that the script gets stuck while inferencing on images with dimensions (179280, 86969) and (131472, 83171).
