SAM2-UNet
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I don't get how we can run predicitions?
I don't get how to run segmentation with your scripts. How can the model know what t osegment if we don'T provide any examples of image/segmentation pairs? Do I need first to finetune/train on my dataset for each segmentation task? (for example a specific cell type on histology images, or a specific immunohistochemistry staining, etc...) and then run "test"?