I am doing feature matching in OpenCV Python using two images of the same model taken from different viewpoints. The feature matching algorithms I have used till now are FLANN and Brute Force. I have already done feature detection with Harris, Shi-Tomasi, ORB, MSER, etc. The descriptor I am using are ORB and BRISK. After I get the output of feature matching, how do I calculate the true matches and false matches? For me, it is not possible to do it manually as I have limited time and the lines drawn as matches are not very clear. Is there any way to calculate true matches and false matches easily?
Please also note that I am a beginner in this field and I don't really know any complex mathematical functions.
Any help will be kindly appreciated.