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Refactor inference and AI configuration handling
- Updated the `Inference` class to replace the `get_onnx_engine_bytes` method with `download_model`, allowing for dynamic model loading based on a specified filename. - Modified the `convert_and_upload_model` method to accept `source_bytes` instead of `onnx_engine_bytes`, enhancing flexibility in model conversion. - Introduced a new property `engine_name` to the `Inference` class for better access to engine details. - Adjusted the `AIRecognitionConfig` structure to include a new method pointer `from_dict`, improving configuration handling. - Updated various test cases to reflect changes in model paths and timeout settings, ensuring consistency and reliability in testing.
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@@ -3,4 +3,4 @@ markers =
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gpu: marks tests requiring GPU runtime
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cpu: marks tests for CPU-only runtime
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slow: marks tests that take >30s
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timeout = 120
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timeout = 300
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