Hey! So I want to classificate trees, roads, houses etc on a sat image by using TrainImageClassifier. Unfortunately The following error keeps happening.
Does somebody knows a solution?
QGIS version: 3.22.6-Białowieża
QGIS code revision: b6f33b1a
Qt version: 5.15.2
Python version: 3.9.5
GDAL version: 3.4.2
GEOS version: 3.10.2-CAPI-1.16.0
PROJ version: Rel. 9.0.0, March 1st, 2022
PDAL version: 2.3.0 (git-version: 1c17a7)
Algorithm started at: 2022-05-07T12:04:07
Algorithm ‘TrainImagesClassifier’ starting…
Input parameters:
{ ‘io.il’ : [‘C:/Users/31681/Documents/8.JJODATASCIENCE/1.BOMENBEHOUDVUGHT/2.Satellite Tree Guard/qgis/exp2_kaderingresult.tif’], ‘io.vd’ : [‘derle.shp’], ‘io.valid’ : None, ‘io.imstat’ : ‘C:\Users\31681\Documents\8.JJODATASCIENCE\1.BOMENBEHOUDVUGHT\2.Satellite Tree Guard\qgis\exp3_stats.xml’, ‘io.out’ : ‘C:/Users/31681/Documents/8.JJODATASCIENCE/1.BOMENBEHOUDVUGHT/2.Satellite Tree Guard/qgis/exp3_knnmodel.xml’, ‘io.confmatout’ : ‘C:/Users/31681/Documents/8.JJODATASCIENCE/1.BOMENBEHOUDVUGHT/2.Satellite Tree Guard/qgis/exp3_confmatrix.xml’, ‘cleanup’ : True, ‘sample.mt’ : 1000, ‘sample.mv’ : 1000, ‘sample.bm’ : 1, ‘sample.vtr’ : 0.8, ‘sample.vfn’ : ‘id’, ‘elev.dem’ : ‘’, ‘elev.geoid’ : ‘’, ‘elev.default’ : 0, ‘classifier’ : ‘knn’, ‘classifier.knn.k’ : 32, ‘rand’ : 0 }
2022-05-07 12:04:07 (INFO) TrainImagesClassifier: Default RAM limit for OTB is 256 MB
2022-05-07 12:04:07 (INFO) TrainImagesClassifier: GDAL maximum cache size is 789 MB
2022-05-07 12:04:07 (INFO) TrainImagesClassifier: OTB will use at most 16 threads
2022-05-07 12:04:08 (INFO): Loading metadata from official product
2022-05-07 12:04:08 (INFO) TrainImagesClassifier: Polygon analysis…
2022-05-07 12:04:08 (INFO) TrainImagesClassifier: Elevation management: setting default height above ellipsoid to 0 meters
2022-05-07 12:04:08 (INFO): Estimated memory for full processing: 45.2883MB (avail.: 256 MB), optimal image partitioning: 1 blocks
2022-05-07 12:04:08 (INFO): Estimation will be performed in 1 blocks of 1847x1074 pixels
Analyze polygons…: 100% [**************************************************] (0s)
2022-05-07 12:04:08 (INFO) TrainImagesClassifier: Sampling rates…
2022-05-07 12:04:08 (INFO) TrainImagesClassifier: Sampling strategy : fit the number of samples based on the smallest class
2022-05-07 12:04:08 (INFO) TrainImagesClassifier: Sampling rates for image 1 : className requiredSamples totalSamples rate
0 760 1495 0.508361
1 760 1699 0.447322
2 760 760 1
3 760 1248 0.608974
4 760 1153 0.65915
2022-05-07 12:04:08 (INFO) TrainImagesClassifier: Sample selection…
2022-05-07 12:04:08 (INFO) TrainImagesClassifier: Elevation management: setting default height above ellipsoid to 0 meters
2022-05-07 12:04:08 (INFO) TrainImagesClassifier: Sampling strategy : set number of samples for each class
2022-05-07 12:04:08 (INFO) TrainImagesClassifier: Sampling rates : className requiredSamples totalSamples rate
0 760 1495 0.508361
1 760 1699 0.447322
2 760 760 1
3 760 1248 0.608974
4 760 1153 0.65915
2022-05-07 12:04:08 (INFO): Estimated memory for full processing: 45.2883MB (avail.: 256 MB), optimal image partitioning: 1 blocks
2022-05-07 12:04:08 (INFO): Estimation will be performed in 2 blocks of 1408x1074 pixels
Selecting positions with periodic sampler…: 100% [**************************************************] (0s)
2022-05-07 12:04:08 (INFO) TrainImagesClassifier: Sample extraction…
2022-05-07 12:04:08 (INFO): Estimated memory for full processing: 67.9897MB (avail.: 256 MB), optimal image partitioning: 1 blocks
2022-05-07 12:04:08 (INFO): Estimation will be performed in 1 blocks of 1847x1074 pixels
Extracting sample values…: 100% [**************************************************] (0s)
2022-05-07 12:04:08 (INFO): Estimated memory for full processing: 45.2883MB (avail.: 256 MB), optimal image partitioning: 1 blocks
2022-05-07 12:04:08 (INFO): Estimation will be performed in 2 blocks of 1408x1074 pixels
Split samples between training and validation…: 100% [**************************************************] (0s)
2022-05-07 12:04:09 (INFO) TrainImagesClassifier: Model training…
2022-05-07 12:04:09 (FATAL) TrainImagesClassifier: itk::ERROR: StatisticsXMLFileReader(000001E976A155B0): .Satellite is a wrong Extension FileName : Expected .xml
Execution completed in 1.68 seconds
Results:
{‘io.confmatout’: 'C:/Users/31681/Documents/8.JJODATASCIENCE/1.BOMENBEHOUDVUGHT/2.Satellite ’
‘Tree Guard/qgis/exp3_confmatrix.xml’,
‘io.out’: 'C:/Users/31681/Documents/8.JJODATASCIENCE/1.BOMENBEHOUDVUGHT/2.Satellite ’
‘Tree Guard/qgis/exp3_knnmodel.xml’}
Loading resulting layers
Algorithm ‘TrainImagesClassifier’ finished
