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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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Guillaume PASERO
Responsable technique
Business Unit E-SPACE & Geo Information -
Département Image & Applications
CS Systèmes d'Information
Parc de la Grande Plaine - 5, Rue Brindejonc des
Moulinais - BP 15872
31506 Toulouse Cedex 05 - FRANCE
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