/// <summary>
/// Make a prediction using the standard interface
/// </summary>
/// <param name="input">an instance of ImageClassifierInput to predict from</param>
/// <param name="error">If an error occurs, upon return contains an NSError object that describes the problem.</param>
public ImageClassifierOutput GetPrediction(ImageClassifierInput input, out NSError error)
{
var prediction = model.GetPrediction(input, out error);
if (prediction == null)
{
return(null);
}
var classLabelProbsValue = prediction.GetFeatureValue("classLabelProbs").DictionaryValue;
var classLabelValue = prediction.GetFeatureValue("classLabel").StringValue;
return(new ImageClassifierOutput(classLabelProbsValue, classLabelValue));
}
/// <summary>
/// Make a prediction using the convenience interface
/// </summary>
/// <param name="image">Input image to be classified as color (kCVPixelFormatType_32BGRA) image buffer, 299 pizels wide by 299 pixels high</param>
/// <param name="error">If an error occurs, upon return contains an NSError object that describes the problem.</param>
public ImageClassifierOutput GetPrediction(CVPixelBuffer image, out NSError error)
{
var input = new ImageClassifierInput(image);
return(GetPrediction(input, out error));
}
