thanks you Julien it's great !!
On Tuesday, November 8, 2016 at 2:11:15 PM UTC+1, Julien Michel wrote:
>
> Le 08/11/2016 à 13:43, michel M a écrit :
> > for i in $(seq 1 7); do var=date$i; otbcli_TrainVectorClassifier.bat
> > -io.vd training_samples.sqlite -cfield code -classifier rf
> > -classifier.rf.max 20 -io.out model.rf -feat ${!var} | grep Kappa; done
> >
> > otbcli_ImageClassifier.bat -in alldates2014_avignon_landsat.TIF -out
> > classif.tif uint8 -model model.rf
> >
> > error: (-5) the input sample must be 1d floating-point vector with the
> > same number of elements as the total number of variables used for train
>
> Hi,
>
> The problem is that in the for loop, you train the model.rf file for
> each date. So the model is tailored for 7 bands. Next, you call
> ImageClassifier with this very model (for 7 bands) on an image with all
> the bands (49 then). If you want to classify an image with all dates,
> you need to train model.rf with all the bands (i.e. using the $bands
> variable).
>
> Regards,
>
> Julien
>
> --
> Julien MICHEL
> CNES - DCT/SI/AP
>
>
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