Example #1
0
 private void DoTestRecognize(LenetClassifier classifier)
 {
     OutputVector ov = new OutputVector();
     Floatarray v = new Floatarray();
     Bytearray ba = new Bytearray(1, 1);
     ImgIo.read_image_gray(ba, testPngFileName);
     NarrayUtil.Sub(255, ba);
     v.Copy(ba);
     v /= 255.0;
     classifier.XOutputs(ov, v);
     Console.WriteLine("Featured output class '{0}', score '{1}'", (char)ov.Key(ov.BestIndex), ov.Value(ov.BestIndex));
 }