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PySegCNN
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Created with Raphaël 2.2.0
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Improved logging for gdal functions.
Updated plot annotations and legend position.
Changed weight initialization to: Kaiming Uniform with ReLu.
Added function to convert ESRI Geodatabase to Shapefile.
Renamed Dataset paths.
Fixed a bug: initialize by class list.
Added descriptions to class distribution plot.
Skip NoData class in class distributions.
Renamed Landsat-8 OLI band 1 to 'aerosol'.
Added batch scripts to produces plots for thesis.
Ignore plots.
Updated project description.
Implemented a more efficient way to calculate class distribution.
Implemented plot function for class distributions.
Implemented the sklearn implementation of the confusion matrix.
Improved extract by mask utility.
Improved the function to replace array values such that it handles also string datatypes.
Implemented the computation of the spectral distribution of the different classes.
Added seaborn dependency.
Improved extraction from raster: implemented clip to shapefile.
Updated dependencies.
Adjusted NetworkInference to accumulate statistics accross different model runs.
Adjusted imports to match new naming.
Split the configuration files for different types of training and evaluation.
Working on a more stable generation of model state files.
Moved random seed parameter to split configurations.
Implemented cross-validation subsampling.
Training script to train models on a single domain.
Preparing to split transfer learning to dedicated training script.
Major refactor of NetworkInference: implemented label mapping.
Adjusted dataset source directory.
Compliance to gdal v3.2 python bindings.
Removed some options for network evaluation.
Major refactor: Adapting NetworkInference to accomodate multiple models.
Removed the date option for plot_sample.
Added LabelMapping from Sparcs to Alcd and vice versa.
Handle 2d-input arrays.
Moved transfer learning part to dedicated configuration class.
Close gdal vrt dataset for safety reasons.
Changed naming convention.
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