Hello.
Recently I was following the original paper about the gentle adaboost training.
I was a little bit confused by the fact that in the paper they use multi-branch tree with 256 values, but the implementation of traincascade and cascade xml files have a two branch tree. Is it a problem or a special trick. I didn't find any information in documentation. I would be really glad if someone briefly explains this thing or point me out the part in documentation where this thing is described.
I am trying to implement the training stage myself and I am interested in how it's made under the hood of OpenCV. Because the the way that the authors of the paper fit the tree and the way it is done in the OpenCV is clearly different and I didn't find any documentation on that.
Thank you.