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));
        }