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Created with Raphaël 2.2.025Mar2423221512111093226Feb25242019181716121095432129Jan2827262522201915141312118723Dec2117161514119427Nov26259Oct52128Sep2523211817161514111098432131Aug28272625242120191817141312111030Jul29282724232221201716151410987632Use a more conservative buffer size when clipping S2-tiles.Working on reading buffered raster to ensure whole tile extent.Implemented tiling of a raster into MGRS tiling grid.Implementing a function to segment a raster into the MGRS grid system.Implemented a posteriori probability.Implemented 1d convolution preserving input shape.Implemented a more efficient method to read hdf4 files.Added rasterio and h5py, h5netcdf as dependencies.Implemented option to return model predictions.Added initial logging to trainer.Fixed initialization of default dictionaries.Overwrite number of training mini-batches to target domain.Iterate over target dataloader during UDA.Do not plot model training loss/accuracies.Re-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.