AI-generated Key Takeaways
- 
          ObjectDetector is used for finding DetectedObjects in an image. 
- 
          An ObjectDetector instance is created using ObjectDetection.getClient(ObjectDetectorOptionsBase). 
- 
          To perform object detection, you first create an InputImage from a source like a Bitmap. 
- 
          The process method is used to detect objects from a supplied image, returning a Task with a list of DetectedObjects. 
- 
          The close method releases the resources used by the detector. 
An ObjectDetection
      client for finding DetectedObjects
      in a supplied image.
An ObjectDetector
      is created via 
      ObjectDetection.getClient(ObjectDetectorOptionsBase).
Example:
ObjectDetector objectDetector = ObjectDetection.getClient(options);
 To perform object detection in 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 detect objects in the supplied InputImage.
Task<List<DetectedObject>> task = objectDetector.process(image);
 task.addOnSuccessListener(...).addOnFailureListener(...);
 Public Method Summary
| abstract void | 
                  close()
                   
                    Closes the detector and releases its resources.
                   | 
| abstract Task<List<DetectedObject>> | |
| abstract Task<List<DetectedObject>> | 
Inherited Method Summary
Public Methods
public abstract void close ()
Closes the detector and releases its resources.
public abstract Task<List<DetectedObject>> process (MlImage image)
Detects objects from a supplied image.
This is an experimental API in beta version.
Create an MlImage
            object using one of MlImage's
            builder methods. See MlImage
            documentation for more details.
Note that the width and height of the provided image cannot be less than 32.
When calling this method on an ObjectDetector
            created with 
            CustomObjectDetectorOptions, the returned Task will
            contain an MlKitException
            with specific error code in the following cases: (1) with error code MlKitException.NOT_FOUND
            if cannot find the custom classifier model file; (2) with error code MlKitException.INVALID_ARGUMENT
            if the custom model file is not compatible with this SDK.
Returns
- a Taskthat asynchronously returns aListofDetectedObjects. An empty list is returned by theTaskif no object is detected.
public abstract Task<List<DetectedObject>> process (InputImage image)
Detects objects from a supplied image.
Create an InputImage
            object using one of InputImage's
            factory methods. See InputImage
            documentation for more details.
Note that the width and height of the provided image cannot be less than 32.
When calling this method on an ObjectDetector
            created with 
            CustomObjectDetectorOptions, the returned Task will
            contain an MlKitException
            with specific error code in the following cases: (1) with error code MlKitException.NOT_FOUND
            if cannot find the custom classifier model file; (2) with error code MlKitException.INVALID_ARGUMENT
            if the custom model file is not compatible with this SDK.
Returns
- a Taskthat asynchronously returns aListofDetectedObjects. An empty list is returned by theTaskif no object is detected.
