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Created with Raphaël 2.2.024Feb2019181716121095432129Jan2827262522201915141312118723Dec2117161514119427Nov26259Oct52128Sep2523211817161514111098432131Aug28272625242120191817141312111030Jul29282724232221201716151410987632Check 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.First check if an entire scene is already processed before appending.Squeeze is required for multi-dimensional arrays.Squeeze is required for multi-dimensional arrays.Hiding axis ticks when plotting scenes.Flatten arrays required.Changed model evaluation strategy: process batch-wise rather than scene-wise.Added ipython as dependency.Added xarray and netcdf4 dependencies.Removed torch as dependency.Save scenes as pdf.Adapted image size for Alcd to 20m resolution.Changed default colormap.Changed default colormap.Changed default colormap.Changed default image format to pdf.Fixed a bug: continue iteration when model evaluation exists.Fixed a bug: Add classification report after computing confusion matrix.Avoid namespace confusion.Avoid namespace confusion.Avoid namespace confusion.Read the labels from the classification reports.Fixed a bug: concatenate the actual dataframes...Initialize DataFrame with numeric type.Changed default behaviour of dataset path.Keep hdf metadata when converting to GeoTiff.Changed default format from png to pdf.Implemented efficient conversion of classification report to pandas DataFrame.Improved visualizations of confusion matrix and classification report.Added errors of commission and omission.