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Confusion Matrix and TP, FP, FN in SIFT (python implementation)

HI! I know how to calculate Precision and Recall: TP/TP+FP and TP/TP+FN; but where exactly can I extract these values from SIFT? To match KeyPoints I used both FLANN and BF. But how do I extract from those matches True Positives, False Positive and False Negative?

Maybe it is a trivial question but besides scientific article, I cannot find what are these data in a practical implementation.

Thanks for the help