watson-unity-sdk-visual-recognition-detect-faces-webcam.cs

using IBM.Watson.DeveloperCloud.Connection;
using IBM.Watson.DeveloperCloud.Logging;
using IBM.Watson.DeveloperCloud.Services.VisualRecognition.v3;
using IBM.Watson.DeveloperCloud.Utilities;
using System;
using System.Collections;
using System.Collections.Generic;
using System.IO;
using UnityEngine;
using UnityEngine.UI;

public class DetectFacesExample : MonoBehaviour
{
    private VisualRecognition visualRecognition;
    private string visualRecognitionApiKey = "";
    private string visualRecognitionServiceUrl = "";
    private string versionDate = "2018-10-29";
    private byte[] imageData;
    private Color32[] colors;
    private Texture2D texture2d;
    WebCamTexture webcamTexture;
    [SerializeField]
    private RawImage rawImage;

    void Start()
    {
        LogSystem.InstallDefaultReactors();
        
        //  Init WebCamTexture
        webcamTexture = new WebCamTexture();
        webcamTexture.requestedWidth = 640;
        webcamTexture.requestedHeight = 480;
        webcamTexture.Play();

        //  Set raw image texture
        rawImage.material.mainTexture = webcamTexture;
        
        //  Create service in coroutine
        Runnable.Run(CreateService());
    }

    private void TakePhoto()
    {
        //  Create and set texture
        texture2d = new Texture2D(webcamTexture.width, webcamTexture.height);
        texture2d.SetPixels(webcamTexture.GetPixels());
        texture2d.Apply();

        //  Set imageData
        imageData = texture2d.EncodeToPNG();

        //  Save image
        File.WriteAllBytes(Application.dataPath + "/myImage.png", texture2d.EncodeToPNG());
    }

    private IEnumerator CreateService()
    {
        yield return new WaitForSeconds(0.5f);
        TakePhoto();

        //  Create tokenOptions
        TokenOptions visualRecognitionTokenOptions = new TokenOptions()
        {
            IamApiKey = visualRecognitionApiKey
        };

        //  Create credentials
        Credentials visualRecognitionCredentials = new Credentials(visualRecognitionTokenOptions, visualRecognitionServiceUrl);

        //  Wait for tokendata
        while (!visualRecognitionCredentials.HasIamTokenData())
            yield return null;

        //  Instantiate service
        visualRecognition = new VisualRecognition(visualRecognitionCredentials);

        //  Set version date
        visualRecognition.VersionDate = versionDate;

        //  Classify
        visualRecognition.DetectFaces(OnDetectFaces, OnFail, imageData);
    }

    private void OnDetectFaces(DetectedFaces response, Dictionary<string, object> customData)
    {
        //  Print response json to console
        Log.Debug("DetectFacesExample", "{0}", customData["json"].ToString());

        //  Print gender, age and confidence
        Log.Debug("DetectFacesExample", "gender: {0}, score: {1}, age: {2} - {3}, score: {4}", response.images[0].faces[0].gender.gender, response.images[0].faces[0].gender.score, response.images[0].faces[0].age.min, response.images[0].faces[0].age.max, response.images[0].faces[0].age.score);
    }

    //  Fail callback
    private void OnFail(RESTConnector.Error error, Dictionary<string, object> customData)
    {
        Log.Debug("DetectFacesExample", "Failed to classify");
    }
}