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Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
- Create postprocessing.py with PostProcessor class - Integrate DBSCAN clustering and line/curve fitting - Add predict_and_postprocess method to ModelPredictor - Create POSTPROCESSING_GUIDE.md with detailed documentation - Add postprocessing_example.py demonstrating full pipeline - Support Linear, Curve, and BestCurve fitting methods - Include visualization and statistics capabilities Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
- Create PIPELINE_COVERAGE.md documenting all original features - Add bridge.py for seamless original→modern integration - DatasetAdapter for using original DATASET with modern models - FilterAdapter for accessing rotation filters - LegacyTrainer combining original data with modern architectures - Add integration_example.py demonstrating all integration patterns - Update README with integration section - Document backward compatibility and feature coverage Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
…ly-pipeline Modernize LineamentLearning: TensorFlow 2.x, multi-architecture support, CLI, post-processing, integration bridge, and comprehensive documentation
Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
…ix type hints Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
…g-rotation Implement data loading and rotation augmentation integration
- Created MAT_TO_PYDATA_GUIDE.md with detailed conversion documentation - Added mat_converter.py module with conversion utilities for NumPy, HDF5, and Zarr - Added mat_conversion_examples.py with practical examples - Updated DATASET.py to support loading from .npz and .h5 files - Updated data_generator.py to support multiple file formats - Updated README.md with data conversion information - Updated examples/README.md with conversion quick start Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
- Fixed convert() method to properly filter kwargs for each format - Added comprehensive testing with synthetic dataset - Verified conversion, validation, and loading from all formats - All tests pass: .mat, .npz, and .h5 formats work correctly Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
- Clarified Parquet is documentation-only, not fully implemented - Fixed unused prefix parameter in recursive HDF5 loading - Added Zarr format validation support - Cleaned up recursive function definitions Co-authored-by: RichardScottOZ <72196131+RichardScottOZ@users.noreply.github.com>
…or-mat-to-pydata Add .mat to PyData conversion utilities and multi-format data loading
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Just a bit easier to read
Also doubt you are going to do a demo video? ;)