Segmentation

AI-generated Key Takeaways

The Segmentation class is used to identify foreground and background pixels in an image.
To use it, you first create an InputImage from your image source (e.g., Bitmap).
You then obtain a Segmenter instance using Segmentation.getClient() with desired options.
Finally, you call segmenter.process() on the InputImage to get a SegmentationMask representing the segmentation result.
Remember to close the Segmenter instance using Segmenter.close() when you are finished with it.

public class Segmentation extends Object

Entry point for identifying pixels in a supplied image as being part of the foreground or the background.

 Segmenter segmenter = Segmentation.getClient(segmenterOptions);

To perform segmentation of an image, you first need to create an instance of InputImage from a Bitmap, ByteBuffer, etc. See InputImage documentation for more details. For example, the code below creates an InputImage from a Bitmap.

 InputImage image = InputImage.fromBitmap(bitmap, rotationDegrees);

Then the code below can segment the supplied InputImage and asynchronously return a SegmentationMask.

 Task<SegmentationMask> task = segmenter.process(image);
 task.addOnSuccessListener(...).addOnFailureListener(...);

Public Method Summary

static Segmenter

getClient(SelfieSegmenterOptions segmenterOptions)

Gets an instance of Segmenter that can segment the foreground and the background of an image.

Inherited Method Summary

From class java.lang.Object

Object	clone()
boolean	equals(Object arg0)
void	finalize()
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

Public Methods

public static Segmenter getClient (SelfieSegmenterOptions segmenterOptions)