Hi,

below the test command example given from command line application :




*Examples: otbcli_TrainImagesClassifier -io.il <http://io.il>
QB_1_ortho.tif -io.vd VectorData_QB1.shp -io.imstat
EstimateImageStatisticsQB1.xml -sample.mv <http://sample.mv> 100 -sample.mt
<http://sample.mt> 100 -sample.vtr 0.5 -sample.edg false -sample.vfn Class
-classifier libsvm -classifier.libsvm.k linear -classifier.libsvm.c 1
-classifier.libsvm.opt false -io.out svmModelQB1.txt -io.confmatout
svmConfusionMatrixQB1.csv*
-io.confmatout  refers to confusion matirx output
-io.out to the SVM model generated

you should try to invert those two ouput

Jonathan



2014/1/21 Sylvio L. <[email protected]>

> Dear all,
>
> I working on OTB in QGIS. I try to classify an image with the module
> TrainImagesClassifier (svm).
>
> First, I calculated image's statistics with "ComputeImagesStatistics".
> Then I used this results in the module TrainImagesClassifier as this
> (without error):
>
> otbcli_TrainImagesClassifier -io.il 11_Variance_S2.tif -io.vd
> 4ClassifSVM.shp -io.imstat XML11.xml
>  -sample.mt -1 -sample.mv -1 -sample.vtr 0.5 -sample.vfn SVM -classifier
> svm
>  -classifier.svm.m csvc -classifier.svm.k linear -classifier.svm.c 1
> -classifier.svm.opt true
>  -io.confmatout SVMMODELQB2.SVM -io.out SVMCONFUSIONMATRIXQB2.csv
>
> And finally, I launched the process to extract my image's classification :
> otbcli_ImageClassifier -in 11_Variance_S2.tif -model SVMMODELQB2.SVM
> -imstat XML11.xml
>  -ram 128 -out SVM_S2_11_.tif
>
> At the last step I get an error :
> Application.logger  (FATAL) Error when loading model SVMMODELQB2.SVM :
> unsupported model type
>
> Yet, this is a file from OTB's module. I don't understand .
> In the file *.svm :
> ---------------------------------------
> #Reference labels (rows):1,2,3
> #Produced labels (columns):1,2,3
> 36,0,1359401
> 0,0,1359042
> 81,0,1358023
> ---------------------------------------
>
> Could you help me, please ?!
> Thank you in advance, for your answers !
>
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