The entire code for this section is as follows:
using Images, MXNet### LOADING THE MODELconst MODEL_NAME = "weights/mobilenet-v2/mobilenet_v2"const MODEL_CLASS_NAMES = "weights/mobilenet-v2/synset.txt"nnet = mx.load_checkpoint(MODEL_NAME, 0, mx.FeedForward);synset = readlines(MODEL_CLASS_NAMES);img = imresize(load("sample-images/bird-3183441_640.jpg"), (224, 224));img = permutedims(Float16.(channelview(img)), (3, 2, 1));img[:, :, :] *= 256.0;img[:, :, :] -= 128.;img[:, :, :] /= 128.;img = reshape(img, 224, 224, 3, 1);mx_data = mx.zeros((224, 224, 3, 1));mx_data[1:1] = img;data_provider = mx.ArrayDataProvider(:data => mx_data);### PREDICTING@time pred = mx.predict(nnet, data_provider);mxval, mxindx = findmax(pred[:, ...
