AFAIK OpenMP is not enabled in binary packages.

Note that we have a new forum and that discussions should best occur there : 
forum.orfeo-toolbox.org .

Regards,

Julien

> -----Message d'origine-----
> De : [email protected] <[email protected]> De la part de 
> Jordi Inglada
> Envoyé : mardi 5 février 2019 09:14
> À : Steve Ji <[email protected]>
> Cc : otb-users <[email protected]>
> Objet : Re: [otb-users] Is otbcli_TrainVectorClassifier supporting multi-core 
> processing?
> 
> Hi,
> 
> I looks like OMP is not enabled. Are you using the binary packages or have 
> you built OTB yourself?
> 
> Jordi
> 
> On Tue 05-Feb-2019 at 02:31:23 +01, Steve Ji <[email protected]> wrote:
> > 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 :
> >
> > 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
> 
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