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- 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.
2 lines
38 B
Python
2 lines
38 B
Python
"""AI inference tests run locally."""
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