Train own classifier IBM Watson Visual Recognition Unity3d

Question

I already followed the steps from installing the SDK and configuring the service credentials. The problem is I cant train my own classifier. I'm getting this error: 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 's the link of the SDK in GitHub. Thanks!

Answer 1

You copied that code from the example page but looks like that everything on that page is outdated. It needs to be updated by IBM.

The VisualRecognition class has 2 overloads of TrainClassifier :

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

and

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

You have the SDK right in front of you. Next time you get an error like this, select the function, right click Go To Definition . It will show you the overload of the function then you will be able to pass the right parameter inside it.

Your code should be something like this:

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!");
    }
}

If you need any other example, don't get it from the example page . Get it from the Example folder that comes with the plugin.