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…INO export - Switch to dynamic git-tag versioning via hatch-vcs (replaces hardcoded version) - Add GitHub Actions publish workflow with OIDC trusted publishing on v* tags - Add fetch-depth: 0 to CI checkout for hatch-vcs compatibility - Add OpenVINO export format to CLI (--format openvino) - Create CHANGELOG.md following Keep a Changelog format - Add openvino optional dependency group Co-Authored-By: Claude Opus 4.6 <[email protected]>
…Quantization (PTQ) and Quantization-Aware Training (QAT), and implement quantization utilities. - Updated versioning in _version.py. - Added quantize_cmd.py and qat_cmd.py for CLI commands. - Implemented quantization preparation, calibration, and conversion utilities. - Added tests for quantization functionalities.
…mplementation of YOLO-NAS and licensing information for pretrained weights.
- Updated `pyproject.toml` to include `roboflow` and `jupyter` in the development dependencies. - Expanded `uv.lock` with new resolution markers and additional package details. - Introduced `finetune_roboflow.ipynb` example notebook for fine-tuning YOLO-NAS on Roboflow datasets. - Added `dataset_config.py` for parsing YOLO/RoboFlow data.yaml files and integrated it into the data module. - Updated tests to cover dataset configuration loading and validation.
- Updated `finetune_roboflow.ipynb` to implement Lightning modules for training and evaluation. - Introduced `YoloNASLightningModule` for streamlined model training with integrated logging and callbacks. - Replaced legacy training and evaluation logic with Lightning's `Trainer` and `DataModule`. - Added `EMACallback` and `QATCallback` for enhanced training control. - Removed outdated `qat_trainer.py` and `trainer.py` files to clean up the codebase. - Updated `pyproject.toml` to include `lightning` as a dependency.
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