static void Main(string[] args) { var modelPath = "models/resnet50.model"; var width = 224; var tensor = JpegToTensor(GetDataPath("datasets/towers/et1.jpg"), width, width); var model = Sequential.Load(GetDataPath(modelPath)); var prediction1 = model.Predict(tensor).Squeeze(); tensor = JpegToTensor(GetDataPath("datasets/towers/et2.jpg"), width, width); var prediction2 = model.Predict(tensor).Squeeze(); Console.WriteLine($" Distance to picture of the same object: {TensorUtils.EuclideanDistance(prediction1, prediction2).ToString("F2")}"); tensor = JpegToTensor(GetDataPath("datasets/towers/et3.jpg"), width, width); prediction2 = model.Predict(tensor).Squeeze(); Console.WriteLine($" Distance to picture of the same object: {TensorUtils.EuclideanDistance(prediction1, prediction2).ToString("F2")}"); tensor = JpegToTensor(GetDataPath("datasets/towers/pt1.jpg"), width, width); prediction2 = model.Predict(tensor).Squeeze(); Console.WriteLine($" Ddistance to picture of a different object: {TensorUtils.EuclideanDistance(prediction1, prediction2).ToString("F2")}"); }