Add MNIST inference unit test and enhance ONNX model handling #5
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This commit introduces a unit test for MNIST inference, leveraging DuckDB and ONNXRuntime for classification. Several enhancements are also made to ONNX model execution, including improved error handling, dynamic input/output name resolution, and path validation. Dependencies like OpenCV are added, and required MNIST assets are included for testing.
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This commit introduces a unit test for MNIST inference, leveraging DuckDB and ONNXRuntime for classification. Several enhancements are also made to ONNX model execution, including improved error handling, dynamic input/output name resolution, and path validation. Dependencies like OpenCV are added, and required MNIST assets are included for testing.