c# - 使用 Unity 和 SDK Watson 进行人脸识别

Question

我想使用 Unity 和 SDK Watson 使用我的计算机的摄像头进行面部识别。我在网上找了一些教程和演示，我想终于明白了。这是我在 Unity 中的第一个项目之一，所以如果有人能帮助我纠正两个我无法修复的错误，我将不胜感激。

我使用此代码进行相机渲染并捕获图像：

using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using UnityEngine.UI;

public class CameraRender : MonoBehaviour {
public Image overlay;
public FaceDetector fd;

// Use this for initialization
void Start () {
    WebCamTexture backCam = new WebCamTexture();
    backCam.Play();
    overlay.material.mainTexture = backCam;
}

public void CaptureImage()
{
    ScreenCapture.CaptureScreenshot(Application.persistentDataPath + "/screenshot.png");
    fd.DetectFaces(Application.persistentDataPath + "/screenshot.png");
}

// Update is called once per frame
void Update () {
    if (Input.GetMouseButtonDown(0))
    {
        CaptureImage();
    }
}
}

这是另一个用于人脸检测的：

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

public class FaceDetector : MonoBehaviour {

public Text dataOutput;

private VisualRecognition _visualRecognition;

// Use this for initialization
void Start ()
{
    Credentials credentials = new Credentials(apiKey: "key", url: "url");
    _visualRecognition = new ExampleVisualRecognition(credentials)
    {
        VersionDate = "2016-05-20"
    };
}

public void DetectFaces(string path)
{
    //  Classify using image url
    //if (!_visualRecognition.DetectFaces("<image-url>", OnDetectFaces, OnFail))
    //    Log.Debug("ExampleVisualRecognition.DetectFaces()", "Detect faces failed!");

    //  Classify using image path

    if (!_visualRecognition.DetectFaces(OnDetectFaces, OnFail, path)) { 
        Log.Debug("ExampleVisualRecognition.DetectFaces()", "Detect faces failed!");
    } else
    {
        Debug.Log("Calling Watson");
        dataOutput.text = "";
    }
}

private void OnDetectFaces(DetectedFaces multipleImages, Dictionary<string, object> customData)
{
    var data = multipleImages.images[0].faces[0]; //assume 1
    dataOutput.text = "Age : " + data.age.min + "-" + data.age.max + " PROBABILITY: " + data.age.score + "\n" + "Gender" + data.gender.gender + " PROBABILITY: " + data.age.score + "\n";
    Log.Debug("ExampleVisualRecognition.OnDetectFaces(): Detect faces result: {0}", customData["json"].ToString());
}

private void OnFail(RESTConnector.Error error, Dictionary<string,object> customData)
{
    Debug.LogError("ExampleVisualRecognition.OnFail(): Error received: " + error.ToString());
}

// Update is called once per frame
void Update () {

}
}

但我无法修复这两个错误：

NotImplementedException: The requested feature is not implemented. IBM.Watson.DeveloperCloud.Services.VisualRecognition.v3.VisualRecognition.op_Implicit (.ExampleVisualRecognition v) (at Assets/Watson/Scripts/Services/VisualRecognition/v3/VisualRecognition.cs:1444)
FaceDetector.Start () (at Assets/FaceDetector.cs:21)

NullReferenceException: Object reference not set to an instance of an object
FaceDetector.DetectFaces (System.String path) (at Assets/FaceDetector.cs:35)
CameraRender.CaptureImage () (at Assets/CameraRender.cs:20)
CameraRender.Update () (at Assets/CameraRender.cs:27)

有人可以帮忙吗？谢谢你们。

标签： c#unity3dibm-watsonface-recognitionvisual-recognition

Answer 1

ExampleVisualRecognition当你应该实例化时，你正在实例化VisualRecognition。请参阅此要点。

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");
}

}