Hello,
I think it's the same for otb 5.10, but in OTB 5.10.1 I found probably a
bug in otbcli_TrainImagesClassifier
Indeed even if I say use maximum sampling to 100 it take tha maximum
available point as shown in the output.
Is it really a bug and if yes what should be the best way to bypass the bug
?
Best regards
clardeux@clardeux-G551JK:~$ otbcli_TrainImagesClassifier -io.il
/media/clardeux/CL/livre_QGIS/CotriTSDeforestatioTest/Test2/Ewma/S1A_IW_GRDH_1SDV_20151020T093238_20151020T093303_008234_00B979_26C9/S1A_IW_GRDH_1SDV_20151020T093238_20151020T093303_008234_00B979_26C9__Clip_Sig0_Ortho_Clip_SpkLee_W5_NL5_TimeFiltering_W7_dB_Clip_EWMA0VVdB_VHdB_HVdB-VVdB.vrt
-io.imstat
/media/clardeux/CL/livre_QGIS/CotriTSDeforestatioTest/Test2/OutDeforestation/Probability/S1A_IW_GRDH_1SDV_20151020T093238_20151020T093303_008234_00B979_26C9__Clip_Sig0_Ortho_Clip_SpkLee_W5_NL5_TimeFiltering_W7_dB_Clip_EWMA0VVdB_VHdB_HVdB-VVdB_STATS.xml
-io.out /media/clardeux/CL/livre_QGIS/CotriTSDeforestatioTest/mod.txt
-sample.mt 100 -sample.mv 100 -sample.bm 1000 -sample.vfn classid
-classifier rf -classifier.rf.max 25 -classifier.rf.min 25 -ram 500 -io.vd
/media/clardeux/CL/livre_QGIS/CotriTSDeforestatioTest/RoiFNFV2.shp
2017 May 23 12:51:13 : Application.logger (INFO) Polygon analysis...
Analyse polygons...: 100%
[**************************************************] (0.006 seconds)
2017 May 23 12:51:13 : Application.logger (INFO)
2017 May 23 12:51:13 : Application.logger (INFO) Elevation management:
setting default height above ellipsoid to 0 meters
2017 May 23 12:51:13 : Application.logger (INFO) Reprojecting input
vectors...
2017 May 23 12:51:13 : Application.logger (INFO) Sampling rates...
2017 May 23 12:51:13 : Application.logger (INFO)
2017 May 23 12:51:13 : Application.logger (INFO) Sampling strategy : fit
the number of samples based on the smallest class
2017 May 23 12:51:13 : Application.logger (INFO) Sampling rates for
image 1 : className requiredSamples totalSamples rate
1 31985 100794 0.31733
2 31985 31985 1
2017 May 23 12:51:13 : Application.logger (INFO) Sample selection...
Selecting positions with periodic sampler...: 100%
[**************************************************] (0.2 seconds)
2017 May 23 12:51:14 : Application.logger (INFO)
2017 May 23 12:51:13 : Application.logger (INFO) Elevation management:
setting default height above ellipsoid to 0 meters
2017 May 23 12:51:13 : Application.logger (INFO) Sampling strategy : set
number of samples for each class
2017 May 23 12:51:13 : Application.logger (INFO) Sampling rates :
className requiredSamples totalSamples rate
1 31985 100794 0.31733
2 31985 31985 1
2017 May 23 12:51:13 : Application.logger (INFO) Reprojecting input
vectors...
2017 May 23 12:51:14 : Application.logger (INFO) Sample extraction...
Extracting sample values...: 100%
[**************************************************] (0.9 seconds)
Split samples between training and validation...: 100%
[**************************************************] (0.7 seconds)
2017 May 23 12:51:16 : Application.logger (INFO) Model training...
Training model...: 100%
[**************************************************] (3 seconds)
WARNING: In
/work/otb/OTB/Modules/Learning/Supervised/include/otbMachineLearningModel.txx,
line 68
RandomForestsMachineLearningModel (0x564c6f5db880):
MachineLearningModel::PredictAll() has been DEPRECATED. Use
MachineLearningModel::PredictBatch() instead.
Classify...: 100% [**************************************************] (2
seconds)
2017 May 23 12:51:21 : Application.logger (INFO)
2017 May 23 12:51:16 : Application.logger (INFO) Reading input vector
file 1/1
2017 May 23 12:51:19 : Application.logger (INFO) Reading validation
vector file 1/1
2017 May 23 12:51:21 : Application.logger (INFO) Predicted list size :
31984
2017 May 23 12:51:21 : Application.logger (INFO)
ValidationLabeledListSample size : 31984
2017 May 23 12:51:21 : Application.logger (INFO) training performances
2017 May 23 12:51:21 : Application.logger (INFO) Confusion matrix (rows
= reference labels, columns = produced labels):
[1] [2]
[ 1] 15487 505
[ 2] 1327 14665
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