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How to integrate TensorflowJs and Unity by Creating a simple guessing game

This is a Tensorflow.js tutorial for integrating a javascript library with Unity, above is the vid and below you will find some of the steps followed.
  1. 1.

    Pre-reqs

  2. 2.

    Create the game using the Unity editor

  3. 3.

    Integrate unity with a javascript library like tensorflow.js - Calling a javascript library from unity

    • Create a class in unity with the methods that you already have in javascript
      • > Real "GetPrediction" method for using in webgl
          
        [DllImport("__Internal")]
        public static extern int GetPrediction(int valueToPredict);
          
        
      • > Debug "GetPrediction" method for using inside the editor
          
        #if UNITY_EDITOR
            public static int GetPrediction(int valueToPredict) {
                Debug.Log("Called GetPrediction");
        
                return 1;
            }
        #else
            //Real Method here
        #endif
          
        
    • Create a jslib file inside Assets/Plugins/WebGL with the "GetPrediction" method to be called
        
      mergeInto(LibraryManager.library, {
        //...
        GetPrediction: function (valueToPredict) {
          //Your logic here
          return window.PublicInterface.getPrediction(valueToPredict);
        }
      });
        
      
  4. 4.

    Integrate unity with a javascript library like tensorflow.js - Calling a unity C# method from javascript

    • Create a jslib file inside Assets/Plugins/WebGL with the "SendMessage" call referencing the name for the game object inside the scene and the method to be called
        
      mergeInto(LibraryManager.library, {
        //...
      
        //SendMessage('Game object name on scene', 'Method inside one of the components');
        SendMessage('PublicInterface', 'TrainingDone');
      
        //...
      });
        
      
    • Create a class in unity with the methods that you already have in javascript
      • > "TrainingDone" C# method for calling from javascript
          
        public class UnityInterfaceController : MonoBehaviour {
            public void TrainingDone() {
                //More code
            }
        }
          
        
    • Have a game object on the scene with the UnityInterfaceController monobehavior component attached to it
  5. 5.

    Create a node.js application to handle the integration with tensorflow.js

    • Change to the directory where the npm project is
        
      cd ./Assets/WebGLTemplates/TensorflowJsProjects/1.SimpleSequence
        
      
    • Install all the dependencies
        
      npm install
        
      
    • Start the compilation process
        
      npm run dev
        
      
    • Modify any .ts file and find the generated .js file inside ./Builds/WebGL/js/
  6. 6.

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