Program.cs

using Microsoft.ML.OnnxRuntime;
using OnnxRuntime.ResNet.Template.utils;
using System;
using System.Collections.Generic;
using System.Linq;

namespace OnnxRuntime.ResNet.Template
{
    class Program
    {
        public static void Main(string[] args)
        {
            // Read paths
            string modelFilePath = @"C:\code\onnxruntime-templates\onnxruntime-csharp-cv-template\model\resnet50v2.onnx";
            string imageFilePath = @"C:\code\onnxruntime-templates\onnxruntime-csharp-cv-template\data\dog.jpeg";

            var inputs = ImageHelper.GetImageTensorFromPath(imageFilePath);
            foreach (var input in inputs)
            {
                var top10 = ModelHelper.GetPredictions(input, modelFilePath);

                // Print results to console
                Console.WriteLine("Top 10 predictions for ResNet50 v2...");
                Console.WriteLine("--------------------------------------------------------------");
                foreach (var t in top10)
                {
                    Console.WriteLine($"Label: {t.Label}, Confidence: {t.Confidence}");
                }

                Console.WriteLine();
            }
        }
    }
}