this is my script (i do again the TP of Montpellier, i don't use the ndvi,
causeto resolve my error )
script OK for one date date1 and many thanks guillaume !! ( for one
image landsat 7 bandes i have the var-count = 7 model.rf it's ok ) ,
the classif is OK .....
after i did an other test with 7 landsat images equals 49 bands for the
file alldates2014_avignon_landsat.TIF
but i have again my var_count de model.rf at 7 and an message error why ?
see my script below (maybe Manuel Grizonnet or Julien Michel or you
Guillaume will help me)
good afternoon
Michel
otbcli_ConcatenateImages.bat -il LAND*.TIF -out
alldates2014_avignon_landsat.TIF uint16
otbcli_PolygonClassStatistics.bat -in alldates2014_avignon_landsat.tif -vec
training_range_rpg.shp -field "code" -out test.xml
otbcli_SampleSelection.bat -in alldates2014_avignon_landsat.tif -field code
-vec training_range_rpg.shp -out training_samples.sqlite -instats test.xml
-strategy smallest
otbcli_SampleExtraction.bat -in alldates2014_avignon_landsat.tif -vec
training_samples.sqlite -outfield prefix -outfield.prefix.name band_ -field
code
date1=`for i in $(seq 0 6); do printf "band_$i "; done`
date2=`for i in $(seq 7 13); do printf "band_$i "; done`
date3=`for i in $(seq 14 20); do printf "band_$i "; done`
date4=`for i in $(seq 21 27); do printf "band_$i "; done`
date5=`for i in $(seq 28 34); do printf "band_$i "; done`
date6=`for i in $(seq 35 41); do printf "band_$i "; done`
date7=`for i in $(seq 42 48); do printf "band_$i "; done`
bands=`for i in $(seq 0 48); do printf "band_$i "; done`
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
Le lundi 31 octobre 2016 18:27:07 UTC+1, Guillaume Pasero a écrit :
>
> Hi,
>
> It seems that you trained you model 'model.rf' with a certain number of
> bands, but try to use it with on an image that has a different number of
> bands.
>
> You can check the parameter 'var_count' in your file 'model.rf' and
> compare it with the number of bands in
> alldates2014_landsat_bandes_et_nvdi.TIF
>
> Regards,
>
> Guillaume
> On 10/26/2016 09:46 AM, michel M wrote:
>
> Hello ,
> I have an error on the command classifier
>
> otbcli_ImageClassifier.bat -in alldates2014_landsat_bandes_et_nvdi.TIF
> -out classif.tif uint8 -model model.rf
>
> i replaced uint8 by float but the result is the same ....
>
> 2016 Oct 26 09:35:21 : Application.logger (INFO) Loading model
> 2016 Oct 26 09:35:21 : Application.logger (INFO) Model loaded
> 2016 Oct 26 09:35:21 : Application.logger (INFO) Input image
> normalization de activated.
> Writing classif.tif...: 0%
> [ ]OpenCV Error: Bad
> argument (the input sample must be 1d floating-point vector with
> the same number of elements as the total number of variables used for
> training ) in predict, file
> /data/tools/mxe/tmp-opencv-i686-w64-mingw32.shared/opencv-2.4
> .10/modules/ml/src/tree.cpp, line 3620
> /data/tools/mxe/tmp-opencv-i686-w64-mingw32.shared/opencv-2.4.10/modules/ml/src/tree.cpp:3620:
>
> error: (-5) the input sample must be 1d floating-point vector wit h the
> same number of elements as the total number of variables used for training
> in function predict
>
> many many thanks for your help
>
> Michel
>
>
>
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