Training Neumann Matas classifiers
I'm trying to train the classifiers in the scene text detection (http://docs.opencv.org/trunk/modules/...) on my own training sets instead of using the default classifiers: trained_classifierNM1.xml and trained_classifierNM2.xml. Any guidance on how to do so would be greatly appreciated. There doesn't seem to be any mention of training on the docs page (or in the code).
I looked at other examples on the web for training classifiers in open CV (http://note.sonots.com/SciSoftware/ha...), and I think where I'm stumbling is on how to define the weak classifiers. Any help or pointers would be greatly appreciated.