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i train a CvRTrees, and get the conreponding model writen in xml format, which is too big over 1.6Gstrong text!! but is very good for my project.

now, when i reload the model to predict new data, it fails: runtime error! early i tried the adaboost. in which condition model file was more than 700M and same thing happened: model loading by strong textload() function failed! so, it is again and again retrain the model as long as i need to deal with new data! is it a bug about load() function of ML algrithms in OpenCV, which can not deal with too big xml file containing model data???

does anybody has any solution!?

i train a CvRTrees, and get the conreponding model writen in xml format, which is too big over 1.6Gstrong text!! 1.6G, but is very good for my project.

now, when i reload the model to predict new data, it fails: runtime error! early i tried the adaboost. in which condition model file was more than 700M and same thing happened: model loading by strong text load() function failed! so, it is again and again retrain the model as long as i need to deal with new data! is it a bug about load() function of ML algrithms in OpenCV, which can not deal with too big xml file containing model data???

does anybody has any solution!?

i train a CvRTrees, and get the conreponding model writen in xml format, which is too big over 1.6G, but is very good for my project.

now, when i reload the model to predict new data, it fails: runtime error!