Performance evaluation for detection
I'm trying to evaluate some cascades I have trained with trainingcascade.cpp. So I would like to know if using the intersection of two rectangles (the reference rect and the detected rect) is a good metric. The criteria would be something:
if intersect.area() > (0.9*ref.area())
hit++
else
miss++
It is good enough to evaluate?
I have looked the code in opencv_performance
, but did not understood well the metric used here. It is a code for rect intersection or another thing?
Thanks!