It is enabled only in version 6.6.1!
On 05/02/2019 09:49, Michel Julien wrote:
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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