Ejemplo n.º 1
0
        public void RunTest()
        {
            // create int array of ascii codes
            int[] classes = new int[strClasses.Length];
            for (int i = 0; i < strClasses.Length; i++)
            {
                classes[i] = (int)strClasses[i];
            }
            // init lenet
            IntPtr lenetptr;

            LenetWrapper.CreateLenet(out lenetptr, classes.Length, classes, false, false, true);
            // load network from file
            LenetWrapper.LoadNetwork(lenetptr, networkFileName);

            // read image variant 2
            Bitmap bitmap = ImgIo.LoadBitmapFromFile(testPngFileName);
            int    w      = bitmap.Width;
            int    h      = bitmap.Height;

            byte[] buffer = LenetRoutines.ToMatrix <byte>(bitmap, false);

            // run recognize from buffer
            int    answer;
            double rate;

            LenetWrapper.RecognizeRawData(lenetptr, buffer, buffer.Length, h, w, out answer, out rate);
            Console.WriteLine("BUFFER: Result index '{0}', rate '{1}'", answer, rate);

            // run recognize from file
            LenetWrapper.RecognizeImageFile(lenetptr, testPpmFileName, out answer, out rate);
            Console.WriteLine("FILE:   Result index '{0}', rate '{1}'", answer, rate);

            // compute outputs
            int[]    outclasses  = new int[strClasses.Length];
            double[] outenergies = new double[strClasses.Length];
            int      getsize;

            LenetWrapper.ComputeOutputs(lenetptr, buffer, buffer.Length, h, w, outclasses, outenergies, out getsize);
            PrintOutputs(classes, outenergies, getsize);

            // test CoTaskMemAlloc
            IntPtr ptrArray;
            int    ptrSize;

            LenetWrapper.TestDoubleCoTaskMemAlloc(out ptrSize, out ptrArray);
            IntPtr curr = ptrArray;

            double[] valArray = new double[ptrSize];
            Marshal.Copy(ptrArray, valArray, 0, ptrSize);
            Marshal.FreeCoTaskMem(ptrArray);
        }
Ejemplo n.º 2
0
        public void TestSaveNetwork()
        {
            // create lenet
            LenetClassifier classifier = new LenetClassifier();

            classifier.CharClass.TanhSigmoid = false;
            classifier.CharClass.NetNorm     = false;
            classifier.CharClass.AsciiTarget = true;
            classifier.JunkClass.TanhSigmoid = false;
            classifier.Set("junk", 0);      // disable junk
            classifier.SetExtractor("scaledfe");
            classifier.Initialize(classesNums);

            // load char lenet from old file format
            LenetWrapper.LoadNetwork(classifier.CharClass.HrLenet, oldformatFileName);

            // save network to new format
            classifier.Save(networkFileName);
        }