watson-unity-sdk-visual-recognition-detect-faces.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 UnityEngine;

public class DetectFacesExample : MonoBehaviour
{
    private VisualRecognition visualRecognition;
    private string visualRecognitionApiKey = "";
    private string visualRecognitionServiceUrl = "";
    private string imagePath;
    private string versionDate = "2018-10-29";
    void Start()
    {
        LogSystem.InstallDefaultReactors();

        //  Set image path
        imagePath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/obama.jpg";

        //  Create service in coroutine
        Runnable.Run(CreateService());
    }

    private IEnumerator CreateService()
    {
        //  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, imagePath);
    }

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

        //  Print gender, age and confidence
        Log.Debug("ClassifyExample", "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("ClassifyExample", "Failed to classify");
    }
}

Hello! I am very new to unity and am trying to follow this tutorial: https://www.youtube.com/watch?v=PvgK8wfQ_Mw

I have manage to get the camera render setup but the face detection script is not working. Can I use the script you have posted here and the face detection script?

I am also having problems with the "type or namespace not being found" with many of the terms.

Any help would be much appreciated!!