In the function of calculating the pro_auc (AUPRO), I noticed that the False Positive Rate (FPR) is computed using the formula:
fpr = fp_pixels / inverse_masks.sum()
While commonly, the FPR is calculated as:
fpr = FP / (FP + FN)
I would appreciate some clarification on why the FPR is being computed with the inverse of the ground truth mask in this specific context.
Hi, thank you for your valuable work.
In the function of calculating the pro_auc (AUPRO), I noticed that the False Positive Rate (FPR) is computed using the formula: fpr = fp_pixels / inverse_masks.sum() While commonly, the FPR is calculated as: fpr = FP / (FP + FN) I would appreciate some clarification on why the FPR is being computed with the inverse of the ground truth mask in this specific context.
Thank you!