private void ExecuteClarifai(byte[] imageBytes)
{
var generalModel = client.DefaultModels.GeneralModel();
var response = generalModel
.Predict()
.WithInputs(ClarifaiInput.ForImage(ClarifaiImage.Of(imageBytes)))
.ExecuteSync();
if (!response.IsSuccessful)
{
return;
}
var predictions = (Java.Util.ArrayList)response.Get();
if (predictions.IsEmpty)
{
return;
}
var clarifaiOutput = (ClarifaiOutput)predictions.Get(0);
var data = clarifaiOutput.Data();
RunOnUiThread(() => {
conceptsAdapter.SetData(data.Cast <Concept>());
});
}
void RecognizeImage(UIImage image)
{
var app = new ClarifaiApp("e995372b2d2b4225a82c52741a60a540");
app.GetModelByName("general-v1.3", (model, error) =>
{
var clafifaiImage = new ClarifaiImage(image);
if (error != null)
{
ShowText(error.DebugDescription);
return;
}
model.PredictOnImages(new[] { clafifaiImage }, (outputs, errors) =>
{
if (errors != null)
{
ShowText(error.DebugDescription);
return;
}
var tags = outputs[0].Concepts.Select(x => x.ConceptName);
ShowText($"Tags: {string.Join(", ", tags)}");
});
});
}