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PySegCNN
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5128033c9f24ea07815c9665d30051d90673c7bc
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Created with Raphaël 2.2.0
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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.
Implemented evaluation of classification report.
Added seaborn as requirement.
Final model configuration.
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
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