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earth_observation_public
PySegCNN
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0a9743052482c8e0dbaff5d56237af8996c72f92
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Created with Raphaël 2.2.0
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Improved documentation of classification report.
Predictions are now correctly aggregated to numpy array.
Debugged classification report logging.
Debugged classification report logging.
Debugged classification report logging.
Debugged classification report logging.
Debugged classification report logging.
Added a function to parse sklearn classification report to Latex.
Implemented sklearn classification report.
Added a function to parse sklearn classification report to Latex.
Added pandas dependency.
Ignore classification reports.
Improved logging for inference.
Improved logging for inference.
Improved logging for inference.
Improved logging for inference.
Moved check for gpu to predict method of NetworkInference.
Fixed a bug: Scene identifiers are now correctly indexed.
Added options to specify dataset path and whether to overwrite existing model evaluations.
Fixed some bugs: dataset path replacement and confusion matrix initialization.
Scene identifiers are now correctly retrieved.
Corrected package requirements.
Use RGB as default bands for plotting.
Consistent use of source and target datasets.
Use RGB as default plotting bands.
Fixed a bug: Use correct class attributes
Fixed a bug: Read dataset not Subset
Fixed a bug: Read dataset not Subset
Fixed a bug: Join argument needs to be iterable.
Check if torch Tensor is on gpu.
Log device.
Fixed a bug: scenes are now properly indexed.
Improved logging.
Fixed a bug: model is now correctly passed to predict function.
Added logging info when plotting model training statistics.
Fixed a bug: Name of the model is now correctly parsed from state file name.
Fixed a bug: Removed dataset path replacement for the moment.
Fixed a bug: Correct gpu id is now used for model evaluation.
Changed model evaluation to command line script.
Changed default behaviour of NetworkInference.
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