I have an android application and I've integrated my own custom tensorflow lite model.
I can print out the object category and probability score but I'm at a loss on how to draw the bounding boxes of the object on the image that is uploaded.
Here is my code that I have where I set the image into a ImageView.
 // SET THE IMAGE
    @Override
    protected void onActivityResult(int requestCode, int resultCode, @Nullable Intent data) {
        super.onActivityResult(requestCode, resultCode, data);
        if(requestCode == 100)
        {
            imageBox.setImageURI(data.getData());
            Uri uri = data.getData();
            try {
                img = MediaStore.Images.Media.getBitmap(this.getContentResolver(), uri);
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    }
This is where I am integrating the model.
predictBtn.setOnClickListener(new View.OnClickListener() {
            @Override
            public void onClick(View v) {
                img = Bitmap.createScaledBitmap(img, 128, 128, true);
                try {
                    Android model = Android.newInstance(getApplicationContext());
                    // Creates inputs for reference.
                    TensorImage image = TensorImage.fromBitmap(img);
                    // Runs model inference and gets result.
                    Android.Outputs outputs = model.process(image);
                    Android.DetectionResult detectionResult = outputs.getDetectionResultList().get(0);
                    // Gets result from DetectionResult.
                    float score = detectionResult.getScoreAsFloat();
                    RectF location = detectionResult.getLocationAsRectF();
                    String category = detectionResult.getCategoryAsString();
                    // Releases model resources if no longer used.
                    model.close();
                    // here we will print out the results of the object to text views based on the image that is inputted by the user
                    // we print out object type and its accuracy score
                    objecttv.setText(category);
                    scoretv.setText(Float.toString(score));
                } catch (IOException e) {
                    // TODO Handle the exception
                }
            }
        });
What do I need to do to make use of RectF location = detectionResult.getLocationAsRectF(); ?
I am using a static image and not actually tracking the movement in realtime.
 
    