Add comprehensive tests for ONNX models and server jobs

- Introduced tests for the Moge3 ONNX model, including input validation, inference, and caching mechanisms.
- Added tests for ONNX runtime configurations and session management.
- Implemented tests for image upscaling functionality using ONNX models, ensuring proper handling of alpha channels and memory management.
- Created tests for panorama generation, verifying depth and visibility metrics.
- Developed tests for prediction artifacts, ensuring correct depth and normal data handling.
- Added server job tests for background removal and depth plane geometry generation, validating input handling and output correctness.
- Included environment tests to ensure proper dependency management and CI configurations.

tools/models/exports.py

@@ -14,7 +14,7 @@ def _require_build_dependencies():
     except ImportError as error:
         raise RuntimeError(
             "Model build dependencies are missing. Run with: "
-            "uv sync"
+            "uv sync --group models"
         ) from error
     return onnx, onnxruntime, torch