This folder contains scripts that ingests ground truth image labels and predicted labels and returns a mean average precision score. 
There are 2 files in this folder,
- scorer.py : contains code that defines a mean average precision (mAP) scorer class
- score_detections.py takes ground truth and predicted labels as inputs and prints mean average precision to the screen. 

Usage 'python score_detections.py -g {ground truth json} -p {prediction json}'
