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Created with Raphaël 2.2.09Mar3226Feb25242019181716121095432129Jan2827262522201915141312118723Dec2117161514119427Nov26259Oct52128Sep2523211817161514111098432131Aug28272625242120191817141312111030Jul29282724232221201716151410987632Re-initialize metric tracker with additional uda metrics.Copy tensors to GPU if available.Added correct returns to uda forward function.Fixed typo in function name.Do not increase weight for uda.Improved reading routine for hdf files.Initialize logging with model name.Use correct state file to save network configuration.Fixed typo: supervised or unsupervised.Adjust metric tracker only for unsupervised domain adaptation.Refactoring transfer learning code.Fixed model name for supervised transfer learning.Operational settings.Added settings for Sparcs target dataset.Computing cm on GPU requires rewriting sklearn cm. Aborting.Compute confusion matrix on GPU, if available.Compute confusion matrix on GPU, if available.Force Float32 dtype when plotting.Fixed typo: Labels.Fixed typo: Missing id.Copy Tensor to cpu before mapping to target labels.Just set accuracy as title when plotting samples.Subdataset does not have sensor property.Do not store scene inputs and use more descriptive figure title.Set bigger default font sizes.Make output path to positional argument.Skip already processed folds.Adjust plot font sizes.Use true color composites.Check for projection in header files when converting hdf to tif.Fixed selection of metrics in report dataframe.Fixed typo that messed up aggregated confusion matrix.Specify labels also for confusion matrix.Drop micro average when specifying labels.Handle case when a class is not present in either ground truth or prediction.Added option to save or not save model evaluations.Close figures after plotting.Do not show legend in scene plots.Consistent use of inference variable names.Adjust counters starting from 0.