saga_api, CSG_Projection::is_Equal(): crs type comparison
saga_api, CSG_Projection::is_Equal(): crs type comparison
imagery_opencv/opencv_ml, random forest options added (feature importance, oob error output)
Dear Lukas, with commit [b4faa0] I have added an output option for feature importances to the OpenCV RF classifier tool. This will be included in the next release (9.13, coming soon). Also the possibility to save/reuse trained models with the ViGrA RF tool will work in this version again. Best, Olaf
io_webservices/chelsa: corrected is_Discrete() function
imagery_opencv/opencv_ml, random forest options added (feature importance, oob error output)
io_gdal/gdal_import_wms: fix, no-data must not be '0'
SAGA version (bug-fix-branch) updated to next aspired version 9.12.7