void UseTextRecognitionModel()
{
System.Diagnostics.Debug.WriteLine($"##### {currentTxtRecogScript}");
CommonTextRecognizerOptions options = currentTxtRecogScript switch {
TextRecognitionScript.Latin => new LatinTextRecognizerOptions(),
TextRecognitionScript.Chinese => new ChineseTextRecognizerOptions(),
TextRecognitionScript.Devanagari => new DevanagariTextRecognizerOptions(),
TextRecognitionScript.Japanese => new JapaneseTextRecognizerOptions(),
TextRecognitionScript.Korean => new KoreanTextRecognizerOptions(),
_ => throw new NotImplementedException()
};
var textRecognizer = TextRecognizer.TextRecognizerWithOptions(options);
var image = new MLImage(ImgSample.Image);
textRecognizer.ProcessImage(image, (text, err) => {
TxtData.Text = err?.Description ?? text?.Text;
});
}
void UseFaceDetectionModel()
{
var options = new FaceDetectorOptions();
options.PerformanceMode = FacePerformanceMode.Accurate;
options.LandmarkMode = FaceLandmarkMode.All;
options.ClassificationMode = FaceClassificationMode.All;
var faceDetector = FaceDetector.FaceDetectorWithOptions(options);
var image = new MLImage(ImgSample.Image);
faceDetector.ProcessImage(image, HandleFaceDetectorCallback);
void HandleFaceDetectorCallback(Face [] faces, NSError error)
{
if (error != null)
{
TxtData.Text = error.Description;
return;
}
if (faces == null || faces.Length == 0)
{
TxtData.Text = "No faces were found.";
return;
}
var imageSize = ImgSample.Image.Size;
UIGraphics.BeginImageContextWithOptions(imageSize, false, 0);
var context = UIGraphics.GetCurrentContext();
context.SetStrokeColor(UIColor.Red.CGColor);
context.SetLineWidth(10);
ImgSample.Image.Draw(CGPoint.Empty);
foreach (var face in faces)
{
context.AddRect(face.Frame);
context.DrawPath(CGPathDrawingMode.Stroke);
}
var newImage = UIGraphics.GetImageFromCurrentImageContext();
UIGraphics.EndImageContext();
ImgSample.Image = newImage;
}
}
void UseBarcodeScanningModel()
{
var options = new BarcodeScannerOptions(BarcodeFormat.All);
var barcodeScanner = BarcodeScanner.BarcodeScannerWithOptions(options);
var image = new MLImage(ImgSample.Image);
barcodeScanner.ProcessImage(image, HandleBarcodeScannerCallback);
void HandleBarcodeScannerCallback(Barcode [] barcodes, NSError error)
{
if (error != null)
{
TxtData.Text = error.Description;
return;
}
if (barcodes == null || barcodes.Length == 0)
{
TxtData.Text = "No barcodes were found.";
return;
}
var stringBuilder = new StringBuilder();
foreach (var barcode in barcodes)
{
stringBuilder.AppendLine($"Raw Value: {barcode.RawValue}");
stringBuilder.AppendLine($"Display Value: {barcode.DisplayValue}");
stringBuilder.AppendLine($"Format: {barcode.Format}");
stringBuilder.AppendLine($"Value Type: {barcode.ValueType}");
stringBuilder.AppendLine();
}
TxtData.Text = stringBuilder.ToString();
}
}
void UseDigitalInkRecognitionModel()
{
strokes.Clear();
if (inkRecognizer == null)
{
var lang = "en-US";
var identifier = DigitalInkRecognitionModelIdentifier.ModelIdentifierForLanguageTag(lang);
var model = new DigitalInkRecognitionModel(identifier);
var modelManager = ModelManager.DefaultInstance;
var conditions = new ModelDownloadConditions(true, true);
// This works on device, but downloads seems to fail on simulators
modelManager.DownloadModel(model, conditions);
var options = new DigitalInkRecognizerOptions(model);
inkRecognizer = DigitalInkRecognizer.DigitalInkRecognizerWithOptions(options);
}
}
void UseImageLabeling()
{
var options = new ImageLabelerOptions();
options.ConfidenceThreshold = 0.7;
var labeler = ImageLabeler.ImageLabelerWithOptions(options);
var image = new MLImage(ImgSample.Image);
labeler.ProcessImage(image, (labels, error) => {
if (error != null)
{
TxtData.Text = error.Description;
return;
}
if (labels == null || labels.Length == 0)
{
TxtData.Text = "No labels were found.";
return;
}
var stringBuilder = new StringBuilder();
for (var i = 0; i < labels.Length; i++)
{
stringBuilder.AppendLine($"Label: {i}");
stringBuilder.AppendLine($"Text: {labels [i].Text}");
stringBuilder.AppendLine($"Confidence: {labels [i].Confidence}");
stringBuilder.AppendLine($"Index: {labels [i].Index}");
stringBuilder.AppendLine();
}
TxtData.Text = stringBuilder.ToString();
});
}
void UseObjectDetectionAndTracking()
{
var options = new ObjectDetectorOptions();
options.Mode = DetectorMode.SingleImage;
options.ShouldEnableClassification = true;
options.ShouldEnableMultipleObjects = true;
var objectDetector = ObjectDetector.ObjectDetectorWithOptions(options);
var image = new MLImage(ImgSample.Image);
objectDetector.ProcessImage(image, (objects, error) => {
if (error != null)
{
TxtData.Text = error.Description;
return;
}
if (objects == null || objects.Length == 0)
{
TxtData.Text = "No objects were found.";
return;
}
var imageSize = ImgSample.Image.Size;
UIGraphics.BeginImageContextWithOptions(imageSize, false, 0);
var context = UIGraphics.GetCurrentContext();
context.SetStrokeColor(UIColor.Red.CGColor);
context.SetLineWidth(10);
ImgSample.Image.Draw(CGPoint.Empty);
var stringBuilder = new StringBuilder();
for (var i = 0; i < objects.Length; i++)
{
stringBuilder.AppendLine($"Object: {i}");
stringBuilder.AppendLine($"Tracking ID: {objects [i].TrackingId?.Int32Value ?? 0}");
foreach (var lbl in objects[i].Labels)
{
stringBuilder.AppendLine($" - Text: {lbl.Text}");
stringBuilder.AppendLine($" - Confidence: {lbl.Confidence}");
stringBuilder.AppendLine($" - Index: {lbl.Index}");
}
stringBuilder.AppendLine();
context.AddRect(objects [i].Frame);
context.DrawPath(CGPathDrawingMode.Stroke);
}
var newImage = UIGraphics.GetImageFromCurrentImageContext();
UIGraphics.EndImageContext();
ImgSample.Image = newImage;
TxtData.Text = stringBuilder.ToString();
});
}
#endregion
#region Digital Ink
const int msPerTimeInterval = 1000;
