无法裁剪张量流精检测到的对象的图像。

我正在使用ar.sceneform库来更新这样的框架。

 private void onUpdateFrame(FrameTime frameTime) {
try {

            Frame frame = fragment.getarSceneView().getarFrame();
            cameraImage = frame.acquireCameraImage();

//The camera image received is in YUV YCbCr Format. Get buffers for each of the planes and use them to create a new bytearray defined by the size of all three buffers combined
            ByteBuffer cameraPlaneY = cameraImage.getPlanes()[0].getBuffer();
            ByteBuffer cameraPlaneU = cameraImage.getPlanes()[1].getBuffer();
            ByteBuffer cameraPlaneV = cameraImage.getPlanes()[2].getBuffer();

//Use the buffers to create a new byteArray that
            byte[] compositeByteArray = new byte[(cameraPlaneY.capacity() + cameraPlaneU.capacity() + cameraPlaneV.capacity())];

            cameraPlaneY.get(compositeByteArray,cameraPlaneY.capacity());
            cameraPlaneU.get(compositeByteArray,cameraPlaneY.capacity(),cameraPlaneU.capacity());
            cameraPlaneV.get(compositeByteArray,cameraPlaneY.capacity() + cameraPlaneU.capacity(),cameraPlaneV.capacity());

            ByteArrayOutputStream baOutputStream = new ByteArrayOutputStream();
            YuvImage yuvImage = new YuvImage(compositeByteArray,ImageFormat.NV21,cameraImage.getWidth(),cameraImage.getHeight(),null);
            yuvImage.compressToJpeg(new Rect(0,cameraImage.getHeight()),75,baOutputStream);
            byte[] byteForBitmap = baOutputStream.toByteArray();
            Bitmap bitmap = BitmapFactory.decodeByteArray(byteForBitmap,byteForBitmap.length);
            imageViewResult.setImageBitmap(bitmap);
            cameraImage.close();


                bitmap = Bitmap.createScaledBitmap(bitmap,INPUT_SIZE,false);

                imageViewResult.setImageBitmap(bitmap);

                final List<Classifier.Recognition> results = classifier.recognizeImage(bitmap);
                Log.d("resultsize",String.valueOf(results.size()));

            textViewResult.setText(String.valueOf(results));


        }catch (notyetavailableException e) {
            Log.e("erroroccur",e.toString());
        };
}

获取List的结果后如何捕获图像并比较目标概率（如果该概率大于80％，然后返回裁剪的目标图像）。