How to train an adaboost classifier?
Hi, I intend to difference between different object by using the haar like base adaboost classifer, i know it only says if it is the object or it is not, so i would have to train one for each kind of object right? However I am not able to find a tutorial where I am tought how to do this, could you help me?
sorry for the incoveniece and thank you for your help!!!
http://docs.opencv.org/doc/user_guide...
You can find a good tutorial in "Opencv Essentials".
ok, i know how to do it more of less know, but i have some doubts, I have the training images in .ppm extension, can I make the training with that format? I also have the information about the dataset like this: Filename;Width;Height;Roi.X1;Roi.Y1;Roi.X2;Roi.Y2;ClassId 00000_00000.ppm;56;57;6;5;51;52;1 00000_00001.ppm;55;57;5;6;50;52;1 00000_00002.ppm;56;56;5;6;51;51;1 00000_00003.ppm;58;58;6;6;53;52;1 00000_00004.ppm;59;59;6;6;54;53;1 00000_00005.ppm;57;59;5;6;52;54;1 00000_00006.ppm;57;59;5;5;52;54;1 00000_00007.ppm;57;59;5;5;52;53;1 May I use that or do I have to obtain new images an description files?