How to Calculate mAP using log training results?

I have a conceptual question about the way that the mAP is calculated. Because in the output file log.txt after each iteration I have:

in the case of e.g. "1: 799.219543, 799.219543 avg, 0.000000 rate, 654.661284 seconds, 24 images" I recognize the six variables as iteration, total loss, loss error, rate, time and number of images, but I don’t know where comes from the percentual mAP. Please any explanation?

[tenten1010]

Well if you have IOU, you can just calculate TP and FP, then Precision and Recall, and finally, get mAP from Precision and Recall. Here’s a library. https://github.com/Cartucho/mAP

[Leprechault]

Well if you have IOU, you can just calculate TP and FP, then Precision and Recall, and finally, get mAP from Precision and Recall. Here’s a library. https://github.com/Cartucho/mAP

Exactly @tenten1010. But I"de like to understand the output and rearrange the Region Avg IOU, Avg Recall and count variables for create a table with the accuracy values and two distinct blocks of the true positive (TP) and the false positive (FP). Is possible?