/**
* Creates and starts the camera. Note that this uses a higher resolution in comparison
* to other detection examples to enable the barcode detector to detect small barcodes
* at long distances.
*/
private void CreateCameraSource()
{
var context = Application.Context;
FaceDetector detector = new FaceDetector.Builder(context)
.SetClassificationType(ClassificationType.All)
.Build();
detector.SetProcessor(
new MultiProcessor.Builder(this)
.Build());
if (!detector.IsOperational)
{
// Note: The first time that an app using face API is installed on a device, GMS will
// download a native library to the device in order to do detection. Usually this
// completes before the app is run for the first time. But if that download has not yet
// completed, then the above call will not detect any faces.
//
// isOperational() can be used to check if the required native library is currently
// available. The detector will automatically become operational once the library
// download completes on device.
Log.Warn(TAG, "Face detector dependencies are not yet available.");
}
mCameraSource = new CameraSource.Builder(context, detector)
.SetRequestedPreviewSize(640, 480)
.SetFacing(CameraFacing.Front)
.SetRequestedFps(30.0f)
.Build();
}
protected override void OnCreate(Bundle bundle)
{
base.OnCreate(bundle);
SetContentView(Resource.Layout.FaceTracker);
_cameraSourcePreview = FindViewById <CameraSourcePreview>(Resource.Id.cameraSourcePreview);
_overlay = FindViewById <GraphicOverlay>(Resource.Id.faceOverlay);
var detector = new FaceDetector.Builder(Application.Context)
//.SetTrackingEnabled(false)
.SetLandmarkType(LandmarkDetectionType.All)
.SetMode(FaceDetectionMode.Accurate)
.Build();
detector.SetProcessor(
new MultiProcessor.Builder(new FaceTrackerFactory(_overlay)).Build());
_cameraSource = new CameraSource.Builder(this, detector)
.SetAutoFocusEnabled(true)
//.SetRequestedPreviewSize(640, 480)
.SetFacing(CameraFacing.Front)
.SetRequestedFps(30.0f)
.Build();
}
/**
* Creates the face detector and the camera.
*/
private void createCameraSource()
{
Context context = Application.Context;
FaceDetector detector = new FaceDetector.Builder(context)
.SetClassificationType(ClassificationType.All)
.Build();
detector.SetProcessor(
new Builder(this)
.Build());
int facing = (int)CameraFacing.Front;
if (!mIsFrontFacing)
{
facing = (int)CameraFacing.Back;
}
mCameraSource = new CameraSource.Builder(context, detector)
.SetFacing(CameraFacing.Front)
.SetRequestedPreviewSize(640, 480)
.SetRequestedFps(60.0f)
.SetAutoFocusEnabled(true)
.Build();
}
protected override void OnCreate(Bundle bundle)
{
base.OnCreate(bundle);
SetContentView(Resource.Layout.Main);
mPreview = FindViewById <CameraSourcePreview>(Resource.Id.preview);
mGraphicOverlay = FindViewById <GraphicOverlay>(Resource.Id.faceOverlay);
var detector = new FaceDetector.Builder(Application.Context).Build();
detector.SetProcessor(
new MultiProcessor.Builder(new GraphicFaceTrackerFactory(mGraphicOverlay)).Build());
if (!detector.IsOperational)
{
// Note: The first time that an app using face API is installed on a device, GMS will
// download a native library to the device in order to do detection. Usually this
// completes before the app is run for the first time. But if that download has not yet
// completed, then the above call will not detect any faces.
//
// isOperational() can be used to check if the required native library is currently
// available. The detector will automatically become operational once the library
// download completes on device.
Android.Util.Log.Warn(TAG, "Face detector dependencies are not yet available.");
}
mCameraSource = new CameraSource.Builder(Application.Context, detector)
.SetRequestedPreviewSize(640, 480)
.SetFacing(CameraFacing.Back)
.SetRequestedFps(30.0f)
.Build();
}
public void FaceDetector_Builder()
{
var stillFaceDetector = new FaceDetector.Builder(Android.App.Application.Context)
.SetTrackingEnabled(true)
.SetMode(FaceDetectionMode.Accurate)
.SetLandmarkType(LandmarkDetectionType.None)
.Build();
Assert.True(stillFaceDetector != null);
}
private FaceDetector CreateFaceDetector(Context context)
{
FaceDetector detector = new FaceDetector.Builder(context)
.SetLandmarkType(LandmarkDetectionType.All)
.SetClassificationType(ClassificationType.All)
.SetTrackingEnabled(true)
.SetMode(FaceDetectionMode.Fast)
.SetProminentFaceOnly(mIsFrontFacing)
.SetMinFaceSize(mIsFrontFacing ? 0.35f : 0.15f)
.Build();
//Detector.IProcessor processor;
Detector.IProcessor processor;
if (mIsFrontFacing)
{
Tracker tracker = new GooglyFaceTracker(mGraphicOverlay);
processor = new LargestFaceFocusingProcessor.Builder(detector, tracker).Build();
}
else
{
/*MultiProcessor.IFactory factory = new MultiProcessor.IFactory(){
*
* public override Tracker Create(Face face)
* {
* return new GooglyFaceTracker(mGraphicOverlay);
* }
* };
* processor = new MultiProcessor.Builder(factory).Build();*/
Tracker tracker = new GooglyFaceTracker(mGraphicOverlay);
processor = new LargestFaceFocusingProcessor.Builder(detector, tracker).Build();
}
detector.SetProcessor(processor);
if (!detector.IsOperational)
{
Log.Warn(TAG, "Face detector dependencies are not yet available.");
Toast.MakeText(this, Resource.String.low_storage_error, ToastLength.Long).Show();
/*
* IntentFilter lowStorageFilter = (IntentFilter)ActionDeviceStorageLow;
* bool hasLowStorage = RegisterReceiver(null, lowStorageFilter) != null;
*
* if (hasLowStorage) {
* Toast.MakeText(this, Resource.String.low_storage_error, ToastLength.Long).Show();
* Log.Warn(TAG, GetString(Resource.String.low_storage_error));
* }*/
}
return(detector);
}
public void CreateCameraSource(CameraFacing cameraFacing)
{
FaceDetector detector = new FaceDetector.Builder(this).Build();
detector.SetProcessor(new MultiProcessor.Builder(this).Build());
if (!detector.IsOperational)
{
Log.Warn(TAG, "Face detector isn't configured yet");
}
cameraSource = new CameraSource.Builder(this, detector)
.SetRequestedPreviewSize(640, 480)
.SetFacing(cameraFacing)
.SetAutoFocusEnabled(true)
.SetRequestedFps(30.0f)
.Build();
}
private void CreateCameraSource()
{
var context = Application.Context;
FaceDetector detector = new FaceDetector.Builder(context)
.SetClassificationType(ClassificationType.All)
.Build();
detector.SetProcessor(new MultiProcessor.Builder(this).Build());
if (!detector.IsOperational)
{
Log.Warn(TAG, "Face detector dependencies are not yet available.");
}
mCameraSource = new CameraSource.Builder(context, detector)
.SetFacing(CameraFacing.Back)
.SetRequestedFps(60.0f)
.SetAutoFocusEnabled(true)
.Build();
}
private void DetectFace()
{
OnboardingActivity.ShowProgressDialog();
try
{
FaceDetector detector = new FaceDetector.Builder(Context)
.SetMode(FaceDetectionMode.Accurate)
.SetClassificationType(ClassificationType.All)
.SetLandmarkType(LandmarkDetectionType.All)
.SetProminentFaceOnly(true)
.SetTrackingEnabled(false)
.Build();
if (!detector.IsOperational)
{
//Handle contingency
}
else
{
Frame frame = new Frame.Builder()
.SetBitmap(bitmap)
.Build();
var faces = detector.Detect(frame);
detector.Release();
DetectedResponse(bitmap, faces);
}
SaveImage();
}
catch (Exception e)
{
OnboardingActivity.CloseProgressDialog();
OnboardingActivity.ShowErrorDialog(e.Message);
}
}
protected override void OnCreate(Bundle bundle)
{
base.OnCreate(bundle);
SetContentView(Resource.Layout.FaceDetector);
preview = FindViewById <CameraPreview>(Resource.Id.preview);
graphicOverlay = FindViewById <GraphicOverlay>(Resource.Id.faceOverlay);
FaceDetector detector = new FaceDetector.Builder(Application.Context).Build();
detector.SetProcessor(new MultiProcessor.Builder(new TrackingFacesGraphics(graphicOverlay)).Build());
if (!detector.IsOperational)
{
//TODO Face detection is not available
}
cameraSource = new CameraSource.Builder(Application.Context, detector)
.SetRequestedPreviewSize(640, 480)
.SetFacing(CameraFacing.Front)
.SetRequestedFps(30.0f)
.Build();
}
private void CreateCameraSource(bool usecustomdetector)
{
if (camface == CameraFacing.Front) //fixes darkness issues for front, may help back camera also
{
_recordFps = 30;
}
var context = Application.Context;
FaceDetector detector = new FaceDetector.Builder(context) //consider moving to background thread
.SetTrackingEnabled(true)
.SetClassificationType(ClassificationType.All)
.SetProminentFaceOnly(true)
.SetMinFaceSize((float)0.2)
.Build();
if (usecustomdetector)
{
try
{
_allFrameData = new SortedList <float, FrameData>();
CompressDataTasks = new List <Task>();
var myFaceDetector = new CustomFaceDetector(detector, ref _allFrameData, ref CompressDataTasks, compressquality);
//myFaceDetector.PropertyChanged += OnPropertyChanged;
myFaceDetector.SetProcessor(
new LargestFaceFocusingProcessor.Builder(myFaceDetector,
new GraphicFaceTracker(this.mGraphicOverlay))
.Build());
if (!myFaceDetector.IsOperational)
{
// isOperational() can be used to check if the required native library is currently
// available. The detector will automatically become operational once the library
// download completes on device.
Log.Warn(TAG, "Face detector dependencies are not yet available.");
}
mCameraSource = new CameraSource.Builder(context, myFaceDetector)
.SetRequestedPreviewSize(pFramewidth, pFrameHeight)
.SetFacing(camface)
.SetRequestedFps(_recordFps)
.SetAutoFocusEnabled(true)
.Build();
}
catch (Exception e)
{
}
}
else
{
detector.SetProcessor(
new LargestFaceFocusingProcessor.Builder(detector,
new GraphicFaceTracker(this.mGraphicOverlay))
.Build());
if (!detector.IsOperational)
{
// isOperational() can be used to check if the required native library is currently
// available. The detector will automatically become operational once the library
// download completes on device.
Log.Warn(TAG, "Face detector dependencies are not yet available.");
}
mCameraSource = new CameraSource.Builder(context, detector)
.SetRequestedPreviewSize(pFramewidth, pFrameHeight)
.SetFacing(camface)
.SetRequestedFps(_recordFps)
.SetAutoFocusEnabled(true)
.Build();
}
}
public static View getProcessView(View givenView, Android.Content.Res.Resources Resources)
{
faceImage = (ImageView)givenView.FindViewById(Resource.Id.ImageViewFace);
if (faceBitmap == null)
{
faceBitmap = BitmapFactory.DecodeResource(Resources, Resource.Drawable.memo);
faceBitmap = changeBitmapSize(faceBitmap, 1500);
faceImage.SetImageBitmap(faceBitmap);
tempBitmap = Bitmap.CreateBitmap(faceBitmap.Width, faceBitmap.Height, Bitmap.Config.Rgb565);
canvas = new Canvas(tempBitmap);
canvas.DrawBitmap(faceBitmap, 0, 0, null);
}
faceImage.SetImageDrawable(new BitmapDrawable(Resources, tempBitmap));
if (flowers == null)
{
flowers = BitmapFactory.DecodeResource(Resources, Resource.Drawable.flowers);
}
if (goggles == null)
{
goggles = BitmapFactory.DecodeResource(Resources, Resource.Drawable.glass3);
}
if (smoke == null)
{
smoke = BitmapFactory.DecodeResource(Resources, Resource.Drawable.cigarette);
}
buttonProcess = (Button)givenView.FindViewById(Resource.Id.buttonProcess);
buttonClear = (Button)givenView.FindViewById(Resource.Id.buttonClear);
buttonSave = (ImageButton)givenView.FindViewById(Resource.Id.buttonSave);
AlertDialog.Builder builder = new AlertDialog.Builder(givenView.Context)
.SetTitle("Save the image")
.SetMessage("Are you sure to save?")
.SetPositiveButton("Yes", (senderAlert, args) => {
saveImage();
if (isCompressSuccessful)
{
Toast.MakeText(givenView.Context, "Successfuly saved!", ToastLength.Short).Show();
}
else
{
Toast.MakeText(givenView.Context, "Failed!", ToastLength.Short).Show();
}
})
.SetNegativeButton("No", (senderAlert, args) => {});
buttonProcess.Click += delegate
{
positions.Clear();
FaceDetector faceDetector = new FaceDetector.Builder(Android.App.Application.Context)
.SetTrackingEnabled(true)
.SetLandmarkType(LandmarkDetectionType.All)
.SetMode(FaceDetectionMode.Fast)
.Build();
if (!faceDetector.IsOperational)
{
Toast.MakeText(givenView.Context, "Error about faceDetector.", ToastLength.Long);
return;
}
Frame frame = new Frame.Builder().SetBitmap(faceBitmap).Build();
SparseArray sparseArray = faceDetector.Detect(frame);
for (int i = 0; i < sparseArray.Size(); i++)
{
Face face = (Face)sparseArray.ValueAt(i);
DetectLandMarks(face);
}
;
int leftEyeX = positions.Find(x => x.id == "leftEye").positionX;
int rightEyeX = positions.Find(x => x.id == "rightEye").positionX;
int rightEyeY = positions.Find(x => x.id == "rightEye").positionY;
int eyeWidth = leftEyeX - rightEyeX;
goggles = changeBitmapSize(goggles, eyeWidth * 2);
int glassScaleHeight = goggles.GetScaledHeight(canvas);
canvas.DrawBitmap(goggles, rightEyeX - (eyeWidth / 2) + 5, rightEyeY - (glassScaleHeight / 2) - 2, null);
flowers = changeBitmapSize(flowers, eyeWidth * 2);
int flowersScaleWidth = flowers.GetScaledWidth(canvas);
int mouthY = positions.Find(x => x.id == "bottomMouth").positionY;
int noseX = positions.Find(x => x.id == "nose").positionX;
int eyeMouthDifference = mouthY - rightEyeY;
canvas.DrawBitmap(flowers, noseX - (flowersScaleWidth / 2), rightEyeY - (glassScaleHeight / 2) - eyeMouthDifference, null);
smoke = changeBitmapSize(smoke, eyeWidth * 2);
int rightMouthX = positions.Find(x => x.id == "rightMouth").positionX;
int rightMouthY = positions.Find(x => x.id == "rightMouth").positionY;
int cigaretteScaleWidth = smoke.GetScaledWidth(canvas);
canvas.DrawBitmap(smoke, rightMouthX - (cigaretteScaleWidth - (cigaretteScaleWidth / 4)), rightEyeY - (glassScaleHeight / 2) + (eyeMouthDifference - (eyeMouthDifference / 8) - (eyeMouthDifference / 8)), null);
faceImage.SetImageDrawable(new BitmapDrawable(Resources, tempBitmap));
};
buttonClear.Click += delegate
{
clearCanvas();
};
buttonSave.Click += delegate
{
var myCustomDialog = builder.Create();
myCustomDialog.Show();
};
var gridView4 = givenView.FindViewById <GridView>(Resource.Id.gridView4);
gridView4.Adapter = new Adapters.GridviewAdapters.peopleGridviewAdapter(givenView.Context);
gridView4.ItemClick += delegate(object sender, AdapterView.ItemClickEventArgs args)
{
int id = (int)args.Id;
faceBitmap = BitmapFactory.DecodeResource(Resources, id);
faceBitmap = changeBitmapSize(faceBitmap, 1500);
faceImage.SetImageBitmap(faceBitmap);
tempBitmap = Bitmap.CreateBitmap(faceBitmap.Width, faceBitmap.Height, Bitmap.Config.Rgb565);
canvas = new Canvas(tempBitmap);
canvas.DrawBitmap(faceBitmap, 0, 0, null);
};
return(givenView);
}
