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A structured, reusable pipeline for running inference on ONNX models using Microsoft's ONNX Runtime. It wraps the standard six-step inference process — configuring session options, loading the model, ...
mnist-helloworld/ ├── src/ │ ├── datasets/ # Dataset implementations │ │ ├── base.py # Base dataset class │ │ ├── mnist.py # MNIST dataset │ │ ├── cifar.py # CIFAR-10 dataset │ │ └── registry.py ...