PyraFuse v1.1.1
Feature release adding a reproducible training workflow for skin, fabric, and
background semantic segmentation.
Highlights
- Added
scripts/train_segmenter.pytraining CLI. - Added configurable encoder, decoder, loss, augmentation, split, EMA, and
checkpoint options. - Added
--smokeand--dry-runvalidation modes. - Added automatic class-weight estimation and metric reporting.
- Added CPU/GPU training examples to the README.
- Improved CUDA environment setup and safe device defaults.
- Added stronger CLI argument validation.
- Updated package version to
1.1.0.
Validation
- PyPI wheel and source distribution built successfully.
pytest: 3 passed.- One-batch CPU training smoke test completed successfully.
- CI passed on Python 3.12 and 3.13.
Installation
pip install pyrafuse==1.1.0