Hi , Thank you for reading my post.
I am new to OTB and using it with my Master's Thesis. It is really handy and good to use in processing remote sensing data. Thanks for the team of OTB and all people who have contribute to it. Recently, I use the command* otbcli_TrainVectorClassifier *with the model of *Shark Random Forest *to training a RF model for classification. The training data is a 15GB sqlite file. The command is as following: otbcli_TrainVectorClassifier -io.vd input.sqlite -io.out output_model.txt -feat band_field -cfield lc_id -classifier sharkrf -classifier.sharkrf.nbtrees 100 -classifier.sharkrf.nodesize 1 -classifier.sharkrf.mtry 0 -classifier.sharkrf.oobr 1 -progress 1 When I launched the command, I found a issue is that *it seems the training process only uses one core of my computer.* The environment of my computer is : [image: Screen Shot 2019-02-05 at 12.26.45 pm.jpg] So, my question is: Is it possible to make use of all 12 cores of my computer when training with otbcli_TrainVectorClassifier? Thank you for your help. Cheers, Steve Zehui -- This mailing will be abandoned soon in favor of a more friendly forum: https://forum.orfeo-toolbox.org Thanks to visit it for any question related to Orfeo Toolbox (OTB) usage, or to check the OTB FAQ: http://www.orfeo-toolbox.org/FAQ.html --- You received this message because you are subscribed to the Google Groups "otb-users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. For more options, visit https://groups.google.com/d/optout.
