I explain my message : before I only used otbcli_TrainImagesClassifier to 
train on 50% on pixels and to keep 50% for validation, (-sample.vrt 0.5). 
but when I try it doesn't work (even if with -sample.bm -1) :

otbcli_TrainImagesClassifier -io.il /mnt/DATA/Sentinel-2/SITS/SITS_TCJ.tif 
-io.vd ROI_32631.sqlite -sample.vfn level3 -io.confmatout confTest.csv 
-io.out model.test -sample.vtr 0.5 -sample.bm -1

2017 Feb 03 18:08:18  :  Application.logger  (INFO) Sampling rates : 
>>  className  requiredSamples  totalSamples  rate
>
> 1 50 85 0.588235
>
> 10 50 55 0.909091
>
> 11 50 107 0.46729
>
> 12 50 75 0.666667
>
> 13 50 53 0.943396
>
> 14 50 50 1
>
> 15 50 219 0.228311
>
> 2 50 269 0.185874
>
> 3 50 224 0.223214
>
> 4 50 81 0.617284
>
> 5 50 158 0.316456
>
> 6 50 140 0.357143
>
> 7 50 227 0.220264
>
> 8 50 228 0.219298
>
> 9 50 209 0.239234
>
> So OTB keeps the maximum of the class 14 (50 training samples), but I tell 
him to only train with 50% of each sample per class.

What to do ?

Thanks 
 
Le mardi 31 janvier 2017 19:16:49 UTC+1, Nicolaï Van Lennepkade a écrit :
>
> Hello,
>
> I tried with the new vector classifier to make a sample selection on 50% 
> of each class, and to keep the rest (50%) to validate the data.
> Everything is ok to keep 50% randomly (or periodicly).
>
> But I was unable to save the unselected samples or to make a parameter to 
> select the opposite of my initial selection.
>
> Is there a way to use SampleSelection to save to another file the 
> unselected sample to validate later ?
>
> Thank you
>

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