Upload RunBlazePalm.cs

RunBlazePalm.cs

@@ -207,24 +207,23 @@ public class RunBlazePalm : MonoBehaviour
         //We need to add extra layers to the model in order to aggregate the box predicions:
         size = model.inputs[0].shape.ToTensorShape()[2]; // Input tensor width (192)
 
-        model.AddConstant(new Lays.Constant("zero", new int[] { 0 }));
-        model.AddConstant(new Lays.Constant("two", new int[] { 2 }));
-        model.AddConstant(new Lays.Constant("four", new int[] { 4 }));
-
-        model.AddLayer(new Lays.Slice("boxes", regressorsOutput, "zero", "four", "two"));
-
-        model.AddLayer(new Lays.Transpose("scores", classificatorsOutput, new int[] { 0, 2, 1 }));
-
+        //set constants
+        model.AddConstant(new Lays.Constant("0", new int[] { 0 }));
+        model.AddConstant(new Lays.Constant("2", new int[] { 2 }));
+        model.AddConstant(new Lays.Constant("4", new int[] { 4 }));
+        model.AddConstant(new Lays.Constant("maxOutputBoxes", new int[] { maxOutputBoxes }));
+        model.AddConstant(new Lays.Constant("iouThreshold", new float[] { iouThreshold }));
+        model.AddConstant(new Lays.Constant("scoreThreshold", new float[] { scoreThreshold }));
         model.AddConstant(new Lays.Constant("offsets",
-            new TensorFloat(new TensorShape(1, offsets.Length/4, 4), offsets)
+            new TensorFloat(new TensorShape(1, offsets.Length / 4, 4), offsets)
          ));
+
+        //add layers
+        model.AddLayer(new Lays.Slice("boxes", regressorsOutput, "0", "4", "2"));
+        model.AddLayer(new Lays.Transpose("scores", classificatorsOutput, new int[] { 0, 2, 1 }));
         model.AddLayer(new Lays.Add("boxCoords", "boxes", "offsets"));
         model.AddOutput("boxCoords");
 
-        model.AddConstant(new Lays.Constant("maxOutputBoxes", new int[] { maxOutputBoxes }));
-        model.AddConstant(new Lays.Constant("iouThreshold", new float[] { iouThreshold }));
-        model.AddConstant(new Lays.Constant("scoreThreshold", new float[] { scoreThreshold }));
-
         model.AddLayer(new Lays.NonMaxSuppression("NMS", "boxCoords", "scores",
             "maxOutputBoxes", "iouThreshold", "scoreThreshold",
             centerPointBox: Lays.CenterPointBox.Center