Esempio n. 1
0
        public static void Run()
        {
            var alex_net = AlexNet.GetAlexNet(true);
            var image    = Img.ImRead("goldfish.jpg");

            image = Img.ResizeShort(image, 224);
            image = Img.CenterCrop(image, (224, 224)).Item1;
            image = image.AsType(DType.Float32) / 255;
            var normalized = Img.ColorNormalize(image, new NDArray(new[] { 0.485f, 0.456f, 0.406f }),
                                                new NDArray(new[] { 0.229f, 0.224f, 0.225f }));

            normalized = normalized.Transpose(new Shape(2, 0, 1));
            normalized = normalized.ExpandDims(axis: 0);
            var     pred            = alex_net.Call(normalized);
            NDArray prob            = nd.Softmax(pred).Topk(k: 5);
            var     label_index     = prob.ArrayData.OfType <float>().ToList();
            var     imagenet_labels = TestUtils.GetImagenetLabels();

            foreach (int i in label_index)
            {
                Console.WriteLine(imagenet_labels[i]);
            }
        }