void Classifier_ClassificationCompleted(object sender, ClassificationEventArgs e)
{
classifier.ClassificationCompleted -= Classifier_ClassificationCompleted;
Result result = null;
if (e.Classifications.Any())
{
var classificationResult = e.Classifications.OrderByDescending(x => x.Value).First();
result = new Result()
{
IsHotdog = classificationResult.Key == "hotdog",
Confidence = classificationResult.Value,
PhotoBytes = bytes
};
}
else
{
result = new Result()
{
IsHotdog = false,
Confidence = 1.0f,
PhotoBytes = bytes
};
}
var view = Resolver.Resolve <ResultView>();
((ResultViewModel)view.BindingContext).Initialize(result);
Navigation.PushAsync(view);
}
private void DefaultClassifier_ClassificationCompleted(object sender, ClassificationEventArgs e)
{
var result = e.Predictions.Select(x => new ViewM_CameraX.ClassifyResult
{
Percent = x.Probability,
Tag = x.TagName
});
ViewModel.ClassificationCompleted(result.ToList());
}
private void Classifier_ClassificationCompleted(object sender, ClassificationEventArgs e)
{
var sortedList = e.Predictions.OrderByDescending(x => x.Probability);
var top_prediction = sortedList.First();
String results = "This is: " + top_prediction.TagName + " \n Accuracy: " + top_prediction.Probability * 100;
ResultInfo = results;
((IClassifier)sender).ClassificationCompleted -= Classifier_ClassificationCompleted;
}
private void Classifier_ClassificationCompleted(object sender, ClassificationEventArgs e)
{
var sortedList = e.Predictions.OrderByDescending(x => x.Probability);
var top = sortedList.First();
if (top.Probability >= 0.9)
{
var mushroom = mushrooms.Single(x => x.LatinName.ToLower() == top.TagName.ToLower());
Navigation.NavigateToAsync("ResultView", mushroom);
}
var classifier = (IClassifier)sender;
classifier.ClassificationCompleted -= Classifier_ClassificationCompleted;
}
void a_faceReaderController_ClassificationReceived(object sender, ClassificationEventArgs e)
{
// get the classification from the event arguments
FaceReaderAPI.Data.Classification classification = e.Classification;
// if a classification was received
if (classification != null)
{
// if the classification is in the form of a StateLogs
if (classification.LogType == FaceReaderAPI.Data.LogType.StateLog)
{
// show the information
WriteInfo(rtbStateClassification, classification.ToString());
}
// if the classification is in the form of a DetailedLog
else
{
// show the information
WriteInfo(rtbDetailedClassification, classification.ToString());
}
}
}
void a_faceReaderController_ClassificationReceived(object sender, ClassificationEventArgs e)
{
// get the classification from the event arguments
FaceReaderAPI.Data.Classification classification = e.Classification;
// if a classification was received
if (classification != null)
{
// if the classification is in the form of a StateLogs
if (classification.LogType == FaceReaderAPI.Data.LogType.StateLog)
{
// show the information
faceReaderOutput.Add(classification.ToString());
}
// if the classification is in the form of a DetailedLog
else
{
// show the information
faceReaderOutput.Add(classification.ToString());
}
}
}
private void DefaultClassifier_ClassificationCompleted(object sender, ClassificationEventArgs e)
{
isClassifyDone = true;
var content = new List <ResultObj>();
if (e.Predictions != null && e.Predictions.Any())
{
var classifyResult = from j in e.Predictions
join k in ListMat2Lable on j.TagName equals k.MatCode
select new
{
j.Probability,
k.MatName,
};
var orderResult =
classifyResult.OrderByDescending(x => x.Probability)
.Take(3)
.Select(x => new ResultObj {
Name = x.MatName, Probability = x.Probability
});
content.AddRange(orderResult);
}
ClassifyCompleteEvent?.Invoke(this, content);
}
