/// <summary>
/// Sets the new value for the layer output blob.
/// </summary>
/// <param name="outputName">Descriptor of the updating layer output blob.</param>
/// <param name="blob">New blob</param>
public void SetBlob(String outputName, Blob blob)
{
using (CvString outputNameStr = new CvString(outputName))
ContribInvoke.cveDnnNetSetBlob(_ptr, outputNameStr, blob);
}
public void TestDnn()
{
Dnn.Net net = new Dnn.Net();
using (Dnn.Importer importer = Dnn.Importer.CreateCaffeImporter("bvlc_googlenet.prototxt", "bvlc_googlenet.caffemodel"))
importer.PopulateNet(net);
Mat img = EmguAssert.LoadMat("space_shuttle.jpg");
CvInvoke.Resize(img, img, new Size(224, 224));
Dnn.Blob inputBlob = new Dnn.Blob(img);
net.SetBlob(".data", inputBlob);
net.Forward();
Dnn.Blob probBlob = net.GetBlob("prob");
int classId;
double classProb;
GetMaxClass(probBlob, out classId, out classProb);
String[] classNames = ReadClassNames("synset_words.txt");
#if !NETFX_CORE
Trace.WriteLine("Best class: " + classNames[classId] + ". Probability: " + classProb);
#endif
}