1 | initial version |
Which object do you want to detect ?
If it takes so much time, I think the problem is in the type of images you use for the positive / negative list (maybe too much, maybe too similar).
You can refer to this additionnal tutorial : http://answers.opencv.org/question/7141/about-traincascade-paremeters-samples-and-other/ ; http://note.sonots.com/SciSoftware/haartraining.html ; http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html.
You can compare the log with this one also : https://stackoverflow.com/questions/16058080/how-to-train-cascade-properly