训练自己的分类器 IBM Watson Visual Recognition Unity3d

Question

我已经按照安装 SDK 和配置服务凭据的步骤进行操作。问题是我无法训练自己的分类器。我收到此错误：No overload for method 'TrainClassifier' takes 5 arguments.

void Start()
{
    string m_positiveExamplesPath = Application.dataPath + "/testData/cpu_positive_examples.zip";
    string m_negativeExamplesPath = Application.dataPath + "/testData/negative_examples.zip";
    if(!m_VisualRecognition.TrainClassifier("components", "cpu", m_positiveExamplesPath, m_negativeExamplesPath, OnTrainClassifier))
        Log.Debug("ExampleVisualRecognition", "Train classifier failed!");
}

private void OnTrainClassifier(GetClassifiersPerClassifierVerbose classifier)
{

    if(classifier != null)
    {
        Log.Debug("ExampleVisualRecognition", "Classifier is training! " + classifier);
    }
    else
    {
        Log.Debug("ExampleVisualRecognition", "Failed to train classifier!");
    }
}

Here是GitHub中SDK的link。谢谢！

Answer 1

您从 example page 复制了该代码，但看起来该页面上的所有内容都已过时。需要IBM更新。

VisualRecognition class 有 2 个重载 TrainClassifier:

public bool TrainClassifier(OnTrainClassifier callback, string classifierName, Dictionary<string, string> positiveExamples, string negativeExamplesPath = default(string), string mimeType = "application/zip", string customData = default(string))

和

public bool TrainClassifier(OnTrainClassifier callback, string classifierName, Dictionary<string, byte[]> positiveExamplesData, byte[] negativeExamplesData = null, string mimeType = "application/zip", string customData = default(string))

SDK 就在您面前。下次遇到这样的错误时，select 函数，右键单击 转到定义 。它将向您显示函数的重载，然后您将能够在其中传递正确的参数。

你的代码应该是这样的：

private VisualRecognition m_VisualRecognition = new VisualRecognition();

void Start()
{
    string m_positiveExamplesPath = Application.dataPath + "/testData/cpu_positive_examples.zip";
    string m_negativeExamplesPath = Application.dataPath + "/testData/negative_examples.zip";

    Dictionary<string, string> positiveExamples = new Dictionary<string, string>();
    positiveExamples.Add("giraffe", m_positiveExamplesPath);

    if (!m_VisualRecognition.TrainClassifier(OnTrainClassifier, "unity-test-classifier-example", positiveExamples, m_negativeExamplesPath))
        Log.Debug("ExampleVisualRecognition", "Train classifier failed!");
}

private void OnTrainClassifier(GetClassifiersPerClassifierVerbose classifier, string data)
{

    if (classifier != null)
    {
        Log.Debug("ExampleVisualRecognition", "Classifier is training! " + classifier);
    }
    else
    {
        Log.Debug("ExampleVisualRecognition", "Failed to train classifier!");
    }
}

如果您需要任何其他示例，不要从 example page 中获取它。从插件附带的 Example 文件夹 中获取它。

训练自己的分类器 IBM Watson Visual Recognition Unity3d

Train own classifier IBM Watson Visual Recognition Unity3d

c#

unity3d

visual-recognition

watson