Releases: ALebrun-108/BoxSERS
Releases · ALebrun-108/BoxSERS
v1.3.0
- All data augmentation methods optimized
- Addition of a new data augmentation method
- Rubberband baseline correction method added to preprocessing.py module.
- A additionnal jupyter notebook detailing the application of the SpectroCNN model and its main features
- Additional features & improvements.
Release 1.1.5
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Grad-CAM method was added to the SpectroCNN model for the identification of relevant spectral elements
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Minor issues fixed & improvements mainly related to the Spectro CNN model
Coming soon in the 1.2.0 release:
- A jupyter notebook detailing the application of the SpectroCNN model and its main features
- Additional features & improvements
Release 1.1.1
Minor issues fixed
New validation_metrics.py module added
Visual darktheme ++ added
V1.0.3
intensity_normalization to spectral_normalization with some extra features like Standard Normal Variate method
Full Changelog: v1.0.2...v1.0.3
Release 1.0.2
v1.0.1
Update README.md
0.1.1
Issue with _init_.py files fixed.