public void OnResult(Java.Lang.Object result)
{
EventReadAdapter.CalendarInfo[] calendars = result.ToArray <EventReadAdapter.CalendarInfo> ();
string[] calendarIDs = new string[calendars.Length];
for (int i = 0; i < calendars.Length; i++)
{
calendarIDs [i] = calendars [i].Id;
}
adapter.EventsQueryToken = EventQueryToken.GetCalendarsById(calendarIDs);
adapter.ReadEventsAsync();
}
public List <ImageClassificationModel> Classify(byte[] image)
{
MappedByteBuffer mappedByteBuffer = GetModelAsMappedByteBuffer();
// TODO: Find a solution that is not being deprecated.
Xamarin.TensorFlow.Lite.Interpreter interpreter = new Xamarin.TensorFlow.Lite.Interpreter(mappedByteBuffer);
//To resize the image, we first need to get its required width and height
Xamarin.TensorFlow.Lite.Tensor tensor = interpreter.GetInputTensor(0);
int[] shape = tensor.Shape();
int width = shape[1];
int height = shape[2];
ByteBuffer byteBuffer = GetPhotoAsByteBuffer(image, width, height);
//use StreamReader to import the labels from labels.txt
StreamReader streamReader = new StreamReader(Application.Context.Assets.Open("labels.txt"));
//Transform labels.txt into List<string>
List <string> labels = streamReader.ReadToEnd().Split('\n').Select(s => s.Trim()).Where(s => !string.IsNullOrEmpty(s)).ToList();
//Convert our two-dimensional array into a Java.Lang.Object, the required input for Xamarin.TensorFlow.List.Interpreter
float[][] outputLocations = new float[1][] { new float[labels.Count] };
Java.Lang.Object outputs = Java.Lang.Object.FromArray(outputLocations);
interpreter.Run(byteBuffer, outputs);
float[][] classificationResult = outputs.ToArray <float[]>();
//Map the classificationResult to the labels and sort the result to find which label has the highest probability
List <ImageClassificationModel> classificationModelList = new List <ImageClassificationModel>();
for (int i = 0; i < labels.Count; i++)
{
string label = labels[i]; classificationModelList.Add(new ImageClassificationModel(label, classificationResult[0][i]));
}
return(classificationModelList);
}
int IArrayAdapterInterface.GetArrayLength(Java.Lang.Object p0)
{
return(GetArrayLength(p0.ToArray <byte>()));
}
public virtual unsafe bool Handles(Java.Lang.Object model)
{
return(Handles(model?.ToArray <byte>()));
}
public virtual unsafe Model.ModelLoaderLoadData BuildLoadData(Java.Lang.Object model, int width, int height, Load.Options options)
{
return(BuildLoadData(model?.ToArray <byte>(), width, height, options));
}
protected override void Free(Java.Lang.Object obj)
{
Free(obj.ToArray <byte>());
}
protected override int GetBucketedSizeForValue(Java.Lang.Object obj)
{
return(GetBucketedSizeForValue(obj.ToArray <byte>()));
}