add vector normalizatin and fix double to float as the base type for csharp operations

Author: asm-jaime

MLTests/ImageToVector.cs

@@ -5,24 +5,32 @@ namespace MLTests
 {
     public static class ImageToVector
     {
-        public static double[] GetVectorOnPath(string path)
+        private static float[] GetNormalizedVector(float[] vector)
+        {
+            var max = vector.Max();
+            var min = vector.Min();
+            for(var i = 0; i < vector.Length; i++) vector[i] /= max;
+            return vector;
+        }
+
+        public static float[] GetVectorOnPath(string path)
         {
             var image = ImageUtil.LoadImg(path, "grayscale", target_size: (28, 28));
             NDarray x = ImageUtil.ImageToArray(image);
-            //x = x.reshape(1);
-            //x = x.reshape(78, 78, 3);
-            //var shape  = x.shape;
+            var shape = x.shape; // (28, 28, 3)
+            //var norm = new Keras.Layers.BatchNormalization();
+            
             //x = x.reshape(1, x.shape[0], x.shape[1], x.shape[2]);
-            double[] data = x.GetData<double>();
+            float[] data = x.GetData<float>();
             /*
             var array1 = ImageUtil.ImageToArray(image);
 
             var array2 = np.expand_dims(array1, axis: 0);
             var array3 = (NDarray)array2;
-            double[] data = array3.GetData<double>();
+            float[] data = array3.GetData<float>();
             */
-            return data;
-            //return new double[] { };
+            return GetNormalizedVector(data);
+            //return new float[] { };
         }
     }
 }

MLTests/ImageToVectorTest.cs

@@ -11,7 +11,7 @@ public void LoadImage()
             var projectPath = "D:/projects.active/LearnML";
             var path = Path.GetFullPath(@$"{projectPath}/data/0/1.jpg");
             var vector = ImageToVector.GetVectorOnPath(path);
-            vector.Sum().Should().NotBe(0.0);
+            vector.Sum().Should().NotBe(0.0f);
         }
     }
 }