- Modified the existing-code workflow to automatically loop back to New Task after project completion without user confirmation.
- Updated the autopilot state to reflect the current step as `done` and status as `completed`.
- Clarified the deployment status report by specifying non-deployed services and their purposes.
These changes enhance the automation of task management and improve documentation clarity.
- Replaced module-level path variables in constants.py with a structured Pydantic Config class.
- Updated all relevant modules (train.py, augmentation.py, exports.py, dataset-visualiser.py, manual_run.py) to access paths through the new config structure.
- Fixed bugs related to image processing and model saving.
- Enhanced test infrastructure to accommodate the new configuration approach.
This refactor improves code maintainability and clarity by centralizing configuration management.
Oleksandr Bezdieniezhnykh