Implement the functionality to execute a PyTorchLightning run utilizing region-based segmentation or processing, and check the names of the logged metrics to ensure they align with expectations.
Tasks:
- Set up and execute a PyTorchLightning training (or validation) run with region-based approaches enabled.
- Inspect the metrics that are logged during the run, paying particular attention to correct naming conventions and completeness.
- Document any discrepancies found in metric names, and propose or carry out fixes as necessary.
Acceptance Criteria:
- PyTorchLightning run completes successfully with region-based configuration.
- All relevant metrics are logged with appropriate names.
- Any naming issue or misconfiguration is either resolved or reported clearly in the code or documentation.
Please ensure code examples and configuration details are included, as needed.
Implement the functionality to execute a PyTorchLightning run utilizing region-based segmentation or processing, and check the names of the logged metrics to ensure they align with expectations.
Tasks:
Acceptance Criteria:
Please ensure code examples and configuration details are included, as needed.