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ChatGPT:
Right now we only track loss, but for a segmentation+forgery task, we should measure:
Segmentation IoU / Dice
Forgery classification accuracy
Per-image vs per-object metrics
This will help monitor real progress rather than hoping lower loss = better output.
👍 I can add a function that:
runs the model in inference mode
obtains predicted masks
computes IoU against ground-truth
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