public static void Run()
{
var model = new Xception(weights: "imagenet");
string img_path = "./img/elephant.jpg";
var img = ImageUtil.LoadImg(img_path, target_size: (299, 299));
var x = ImageUtil.ImageToArray(img);
x = np.expand_dims(x, axis: 0);
x = model.PreprocessInput(x);
var preds = model.Predict(x);
var predictions = model.DecodePredictions(preds, top: 2);
foreach (ImageNetPrediction item in predictions)
{
Console.WriteLine("Name: {0}, Acc: {1}", item.Word, item.PredictedValue);
}
}
