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Refactor constants management to use Pydantic BaseModel for configuration
- 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.
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# Project Management
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- This project uses **Jira ONLY** for work item tracking (NOT Azure DevOps)
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- Jira project key: `AZ` (AZAION)
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- Jira cloud ID: `1598226f-845f-4705-bcd1-5ed0c82d6119`
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- Use the `user-Jira-MCP-Server` MCP server for all Jira operations
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- Never use Azure DevOps MCP for this project's work items
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