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Big svs Prediction #19
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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 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?
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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). |
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?
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