spacing

.gitignore

@@ -0,0 +1,125 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+pip-wheel-metadata/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# Virtual environments
+venv/
+env/
+ENV/
+env.bak/
+venv.bak/
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+*~
+.DS_Store
+
+# Jupyter Notebook
+.ipynb_checkpoints
+*.ipynb_checkpoints/
+
+# Testing
+.pytest_cache/
+.coverage
+htmlcov/
+.tox/
+.nox/
+.hypothesis/
+
+# Type checking
+.mypy_cache/
+.dmypy.json
+dmypy.json
+.pyre/
+
+# Model files (large)
+*.h5
+*.hdf5
+*.pb
+*.ckpt
+*.keras
+*.weights
+*.pth
+*.pt
+
+# Data files (large)
+*.mat
+*.npz
+*.npy
+
+# Results and outputs
+Results/
+Figures/
+Pmaps/
+models/
+logs/
+*.png
+*.jpg
+*.jpeg
+!InputLayers.png
+!Model.png
+!AppletDemo.png
+
+# Temporary files
+temp.py
+Temp.png
+TMP*.png
+/tmp/
+*.tmp
+*.temp
+
+# Callbacks and checkpoints
+CallBacks/
+checkpoints/
+
+# Dataset directories (large)
+Dataset/
+DSREADY/
+Filters/
+
+# TensorBoard logs
+events.out.tfevents.*
+
+# Legacy files
+*.pyc
+
+# Documentation build
+docs/_build/
+site/
+
+# OS
+Thumbs.db
+.DS_Store
+
+# Project-specific
+applet_images/cluster/
+Curves.npy
+*.csv
+training_history.csv
+
+# But keep the directory structures
+!.gitkeep

CHANGELOG.md

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+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
+and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
+
+## [2.0.0] - 2026-01-11
+
+### Added
+- Modern TensorFlow 2.x/Keras support (replacing legacy Keras)
+- Multiple model architectures: RotateNet (improved), U-Net, ResNet
+- CLI interface with subcommands for train, predict, evaluate, export
+- JSON-based configuration system with dataclasses
+- `requirements.txt` for dependency management
+- `setup.py` for proper package installation
+- Type hints throughout the codebase
+- Batch normalization and dropout support
+- Mixed precision training support
+- Early stopping and learning rate scheduling
+- TensorBoard integration for training visualization
+- Model checkpointing with best model selection
+- CSV logging for training history
+- Modern README with comprehensive documentation
+- Configuration validation
+- Support for multiple optimizers
+- Advanced metrics (precision, recall, AUC)
+- Model export capabilities (planned)
+
+### Changed
+- Modernized model architecture with flexible design
+- Improved code organization and modularity
+- Updated documentation with modern examples
+- Enhanced error handling and validation
+- Better separation of concerns (config, model, training, inference)
+- Improved naming conventions and code style
+
+### Improved
+- Training pipeline with modern callbacks
+- Configuration management system
+- User experience with CLI tools
+- Documentation and examples
+- Code maintainability and readability
+
+### Technical Debt Addressed
+- Removed hardcoded global variables in favor of configuration
+- Separated model definition from training logic
+- Added proper Python package structure
+- Improved import organization
+- Better path handling (preparing for pathlib migration)
+
+### Future Plans
+- Add comprehensive test suite
+- Create Jupyter notebook examples
+- Add Gradio/Streamlit web UI
+- Implement data loading pipeline
+- Add ONNX/TensorFlow Lite export
+- Docker containerization
+- Cloud deployment guides
+- Add attention mechanisms
+- Implement transfer learning
+
+## [1.0.0] - 2018
+
+### Initial Release
+- Original RotateNet architecture for lineament detection
+- Training and inference scripts
+- TKinter GUI applet
+- Support for 8-layer geophysical data
+- DBSCAN clustering for post-processing
+- Line and curve fitting algorithms
+- Visualization tools
+- Support for rotation-based data augmentation
+- Probability map generation
+- Basic evaluation metrics
+
+---
+
+### Version Numbering
+
+- **Major version**: Significant architectural changes or API breaking changes
+- **Minor version**: New features, non-breaking changes
+- **Patch version**: Bug fixes, minor improvements
+
+### Links
+
+- [Original Thesis](http://hdl.handle.net/2429/68438)
+- [GitHub Repository](https://github.com/RichardScottOZ/LineamentLearning)