This class is deprecated.
The standalone ML Kit SDK replaces this API. For more information, refer to the migration guide.
Detector for finding FirebaseVisionFaces
in a supplied image.
A face detector is created via
getVisionFaceDetector(FirebaseVisionFaceDetectorOptions) or
getVisionFaceDetector(), if you wish to use the default options. For example, the
code below creates a face detector with default options.
FirebaseVisionFaceDetector faceDetector =
FirebaseVision.getInstance().getVisionFaceDetector();
FirebaseVisionImage from a Bitmap,
ByteBuffer, etc. See
FirebaseVisionImage
documentation for more details. For example, the code below creates a FirebaseVisionImage
from a Bitmap.
FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(bitmap);FirebaseVisionImage.
Task<List<FirebaseVisionFace>> task = faceDetector.detectInImage(image);
task.addOnSuccessListener(...).addOnFailureListener(...);
Public Method Summary
| void |
close()
Closes this
FirebaseVisionFaceDetector and releases its model resources.
|
| Task<List<FirebaseVisionFace>> |
Inherited Method Summary
Public Methods
public void close ()
Closes this
FirebaseVisionFaceDetector and releases its model resources.
Throws
| IOException |
|---|
public Task<List<FirebaseVisionFace>> detectInImage (FirebaseVisionImage image)
Detects human faces from the supplied image.
For best efficiency, create a
FirebaseVisionImage object using one of the following ways:
fromMediaImage(Image, int)with aYUV_420_888formatted image fromandroid.hardware.camera2.fromByteArray(byte[], FirebaseVisionImageMetadata)with aNV21formatted image fromCamera(deprecated).fromByteBuffer(ByteBuffer, FirebaseVisionImageMetadata)if you need to pre-process the image. E.g. allocate a directByteBufferand write processed pixels into theByteBuffer.
FirebaseVisionImage factory methods will work as well, but possibly slightly
slower.
Note that the width of the provided image cannot be less than 32 if
ALL_CONTOURS is specified.
Returns
- A
Taskthat asynchronously returns aListof detectedFirebaseVisionFaces.