This example is copied from the official website and demonstrates how to use the Onnx Runtime C# API to run the pre-trained ResNet50 v2 ONNX model.
My environment here is based on a winform project of .net framework 4.8, which mainly relies on the following versions of related libraries.
Microsoft.Bcl.Numerics.8.0.0
Microsoft.ML.OnnxRuntime.Gpu.1.16.3
SixLabors.ImageSharp.2.1.1
ResNet50 model download address.
https://github.com/onnx/models/blob/master/vision/classification/resnet/model/resnet50-v2-7.onnx
If we have all the dependencies installed, we can start adding code and running the model on the image.