2016-05-26 07:16:29 -0600 | asked a question | Boost custom weak classifiers Hello, I am trying to implement my own weak classifiers in connection with AdaBoost. Currently I am unable to figure out any way using cv::ml:boost. Am I missing something or does this algorithm implementation only support decision trees? My goal is to implement my own flavor of haar features and/or use my own HOG implementation. I apologis |
2016-04-06 11:38:20 -0600 | commented answer | OpenCV 3 Boost train help Yes, that fixed the problem. Now I need to figure out why my XML weights are only 0 and 0. but thats a different issue completely. Thank you. |
2016-04-06 11:37:38 -0600 | received badge | ● Supporter (source) |
2016-04-06 11:20:31 -0600 | commented answer | OpenCV 3 Boost train help I am trying to do a classification. So I need to convert responses array to integers? |
2016-04-06 09:15:53 -0600 | commented question | OpenCV 3 Boost train help I added a link to some uploaded sample data. |
2016-04-06 09:15:31 -0600 | received badge | ● Editor (source) |
2016-04-06 01:09:04 -0600 | asked a question | OpenCV 3 Boost train help I am trying to train my own AdaBoost for object detection. I have compiled this code from examples but I encountered a problem. This error pops up when I use the train function "Expression: vector subscript out of range" It occurs on this line: err += wval*(result[i] != w->cat_responses[si]); in opencv_ml310d.dll!cv::ml::DTreesImplForBoost::updateWeightsAndTrim(int treeidx, std::vector<int,std::allocator<int> > & sidx) Line 235 C++ My data and responses cv::Mats have the exact same amount of rows. Responses is a cv::Mat with one collumn, containing a 0 or 1 depending on the class of each sample. Data mat is a cv::Mat of images I am trying to train on, each containing a person if its a positive sample. The format of the data cv::Mat consists of one image in each row of the cv::Mat. I have compiled the latest opencv 3 from GitHub and to my knowledge it was compiled correctly thus far. Any ideas where I should look for an error? Sample Data (using cv::FileStorage) in yml Sample Data |