private static void try_classifier(string datacfg, string cfgfile, string weightfile, string filename, int layerNum)
{
Network net = Parser.parse_network_cfg(cfgfile);
if (string.IsNullOrEmpty(weightfile))
{
Parser.load_weights(net, weightfile);
}
Network.set_batch_network(net, 1);
Utils.Rand = new Random(2222222);
var options = OptionList.read_data_cfg(datacfg);
string nameList = OptionList.option_find_str(options, "names", "");
if (string.IsNullOrEmpty(nameList))
{
nameList = OptionList.option_find_str(options, "labels", "Data.Data/labels.list");
}
int top = OptionList.option_find_int(options, "top", 1);
int i = 0;
string[] names = Data.Data.get_labels(nameList);
var sw = new Stopwatch();
int[] indexes = new int[top];
string input = "";
while (true)
{
if (!string.IsNullOrEmpty(filename))
{
input = filename;
}
else
{
Console.Write($"Enter Image Path: ");
input = Console.ReadLine();
if (string.IsNullOrEmpty(input))
{
return;
}
input = input.TrimEnd();
}
Image orig = LoadArgs.load_image_color(input, 0, 0);
Image r = LoadArgs.resize_min(orig, 256);
Image im = LoadArgs.crop_image(r, (r.W - 224 - 1) / 2 + 1, (r.H - 224 - 1) / 2 + 1, 224, 224);
float[] mean = { 0.48263312050943f, 0.45230225481413f, 0.40099074308742f };
float[] std = { 0.22590347483426f, 0.22120921437787f, 0.22103996251583f };
float[] var = new float[3];
var[0] = std[0] * std[0];
var[1] = std[1] * std[1];
var[2] = std[2] * std[2];
Blas.Normalize_cpu(im.Data, mean, var, 1, 3, im.W * im.H);
float[] x = im.Data;
sw.Reset();
sw.Start();
float[] predictions = Network.network_predict(net, x);
Layer l = net.Layers[layerNum];
for (i = 0; i < l.C; ++i)
{
if (l.RollingMean.Length > i)
{
Console.Write($"%f %f %f\n", l.RollingMean[i], l.RollingVariance[i], l.Scales[i]);
}
}
Array.Copy(l.OutputGpu, l.Output, l.Outputs);
for (i = 0; i < l.Outputs; ++i)
{
Console.Write($"%f\n", l.Output[i]);
}
Network.top_predictions(net, top, indexes);
sw.Stop();
Console.Write($"%s: Predicted ini %f seconds.\n", input, sw.Elapsed.Seconds);
for (i = 0; i < top; ++i)
{
int index = indexes[i];
Console.Write($"%s: %f\n", names[index], predictions[index]);
}
if (!string.IsNullOrEmpty(filename))
{
break;
}
}
}
