I am using ImageAnalysis library to extract live previews to then barcode scanning and OCR on.
I'm not having any issues with barcode scanning at all, but OCR is resulting in some weak results. I'm sure this could be from a few reasons. My current attempt at working on the solution is to send the frames to GCP - Storage before I run OCR (or barcode) on the frames in order to look at them in bulk. All of them look very similar:
My best guess is the way i'm processing the frames could be causing the pixels to be organized in the buffer incorrectly (i'm inexperienced to Android - sorry). Meaning rather than organizing 0,0 then 0,1.....it's randomly taking pixels and putting them in random areas. I can't figure out where this is happening though. Once I can look at the image quality, then i'll be able to analyze what the issue is with OCR but this is my current blocker unfortunately.
Extra note: I am uploading the image to GCP - Storage prior to even running OCR, so for the sake of looking at this, we can ignore the OCR statement I made - I just wanted to give some background.
Below is the code where I initiate the camera and analyzer then observe the frames
private void startCamera() {
//make sure there isn't another camera instance running before starting
CameraX.unbindAll();
/* start preview */
int aspRatioW = txView.getWidth(); //get width of screen
int aspRatioH = txView.getHeight(); //get height
Rational asp = new Rational (aspRatioW, aspRatioH); //aspect ratio
Size screen = new Size(aspRatioW, aspRatioH); //size of the screen
//config obj for preview/viewfinder thingy.
PreviewConfig pConfig = new PreviewConfig.Builder().setTargetResolution(screen).build();
Preview preview = new Preview(pConfig); //lets build it
preview.setOnPreviewOutputUpdateListener(
new Preview.OnPreviewOutputUpdateListener() {
//to update the surface texture we have to destroy it first, then re-add it
#Override
public void onUpdated(Preview.PreviewOutput output){
ViewGroup parent = (ViewGroup) txView.getParent();
parent.removeView(txView);
parent.addView(txView, 0);
txView.setSurfaceTexture(output.getSurfaceTexture());
updateTransform();
}
});
/* image capture */
//config obj, selected capture mode
ImageCaptureConfig imgCapConfig = new ImageCaptureConfig.Builder().setCaptureMode(ImageCapture.CaptureMode.MAX_QUALITY)
.setTargetRotation(getWindowManager().getDefaultDisplay().getRotation()).build();
final ImageCapture imgCap = new ImageCapture(imgCapConfig);
findViewById(R.id.imgCapture).setOnClickListener(new View.OnClickListener() {
#Override
public void onClick(View v) {
Log.d("image taken", "image taken");
}
});
/* image analyser */
ImageAnalysisConfig imgAConfig = new ImageAnalysisConfig.Builder().setImageReaderMode(ImageAnalysis.ImageReaderMode.ACQUIRE_LATEST_IMAGE).build();
ImageAnalysis analysis = new ImageAnalysis(imgAConfig);
analysis.setAnalyzer(
Executors.newSingleThreadExecutor(), new ImageAnalysis.Analyzer(){
#Override
public void analyze(ImageProxy imageProxy, int degrees){
Log.d("analyze", "just analyzing");
if (imageProxy == null || imageProxy.getImage() == null) {
return;
}
Image mediaImage = imageProxy.getImage();
int rotation = degreesToFirebaseRotation(degrees);
FirebaseVisionImage image = FirebaseVisionImage.fromBitmap(toBitmap(mediaImage));
if (!isMachineLearning){
Log.d("analyze", "isMachineLearning is about to be true");
isMachineLearning = true;
String haha = MediaStore.Images.Media.insertImage(getContentResolver(), toBitmap(mediaImage), "image" , "theImageDescription");
Log.d("uploadingimage: ", haha);
extractBarcode(image, toBitmap(mediaImage));
}
}
});
//bind to lifecycle:
CameraX.bindToLifecycle(this, analysis, imgCap, preview);
}
Below is how I structure my detection (pretty straightforward and simple):
FirebaseVisionBarcodeDetectorOptions options = new FirebaseVisionBarcodeDetectorOptions.Builder()
.setBarcodeFormats(FirebaseVisionBarcode.FORMAT_ALL_FORMATS)
.build();
FirebaseVisionBarcodeDetector detector = FirebaseVision.getInstance().getVisionBarcodeDetector(options);
detector.detectInImage(firebaseVisionImage)
Finally, when I'm uploading the image to GCP - Storage, this is what it looks like:
ByteArrayOutputStream baos = new ByteArrayOutputStream();
bmp.compress(Bitmap.CompressFormat.JPEG, 100, baos); //bmp being the image that I ran barcode scanning on - as well as OCR
byte[] data = baos.toByteArray();
UploadTask uploadTask = storageRef.putBytes(data);
Thank you all for your kind help (:
My problem was that I was trying to convert to a bitmap AFTER barcode scanning. The conversion wasn't properly written but I found a way around without having to write my own bitmap conversion function (though I plan on going back to it as I see myself needing it, and genuine curiosity wants me to figure it out)
Related
Background
I am developing a Unity editor plugin that enables users to send a selected image file to a REST API endpoint in the cloud for processing (e.g. adding transforms and optimizations). The plugin also shows a comparison of the selected image's details before and after processing (e.g. width/height/size before vs after).
The user selects the desired image through the following piece of code:
selected_texture = (Texture2D) EditorGUI.ObjectField(drawing_rect, selected_texture, typeof(Texture2D), false);
Once its selected, I can then get the respective file size by doing this:
file_size = new FileInfo(AssetDatabase.GetAssetPath(selected_texture)).Length;
Problem
This works for most textures selected, but I encounter an error when I choose a built-in Unity texture. Any guidance would be greatly appreciated.
FileNotFoundException: Could not find file 'Resources/unity_builtin_extra'
There are two built-in asset-librarys in Unity:
BuiltIn-Library in "Resources/unity_builtin_extra": contains UGUI sprite、Default-Material、Shader and so on.
BuiltIn-Library in "Library/unity default resources": contains built-in 3D mesh and OnGUI assets.
If you are using AssetDatabase.GetAssetPath, you will always get one or another path above.
To solve the problem, you need do something like below code:
public const string BuiltinResources = "Resources/unity_builtin_extra";
public const string BuiltinExtraResources = "Library/unity default resources";
public static bool IsBuiltInAsset(string assetPath)
{
return assetPath.Equals(BuiltinResources) || assetPath.Equals(BuiltinExtraResources);
}
public static long GetTextureFileLength(Texture texture)
{
string texturePath = AssetDatabase.GetAssetPath(texture);
if (IsBuiltInAsset(texturePath))
{
/*
* You can get all built-in assets by this way.
*
var allAssets = AssetDatabase.LoadAllAssetsAtPath(BuiltinResources);
var allExtraAssets = AssetDatabase.LoadAllAssetsAtPath(BuiltinExtraResources);
*/
// not supportted
// return -1;
// using MemorySize
return Profiler.GetRuntimeMemorySizeLong(texture);
}
else
{
return new FileInfo(texturePath).Length;
}
}
I'm working upon an algorithm that is based on Hand gesture recognition. This algorithm i found and run on Winform with c# scripts. The same technique i need to use in my game to perform hand gesture detection through webcam. I tried to use the algorithm in my game scripts but unable to capture any image using the algorithm. Below is the code that i'm currently working upon. I'm using aForge.net framework to implement the idea of motion detection. The bitmap image always returns null. However using the same algorithm in winform it captures image on every frame changed. I know there is a technique of using PhotoCapture in unity but i'm not sure how do i use it at runtime on every frame. Every guidance is appreciated. Thanks!
OpenCamera.cs
using AForge.GestureRecognition;
using System.Collections;
using System.Collections.Generic;
using System.Drawing;
using UnityEngine;
using System.Drawing.Design;
using UnityEngine.VR.WSA.WebCam;
using System.Linq;
using System;
public class OpenCamera : MonoBehaviour {
// statistics length
private const int statLength = 15;
Bitmap image;
PhotoCapture photoCaptureObject = null;
Texture2D targetTexture = null;
// current statistics index
private int statIndex = 0;
// ready statistics values
private int statReady = 0;
// statistics array
private int[] statCount = new int[statLength];
private GesturesRecognizerFromVideo gesturesRecognizer = new GesturesRecognizerFromVideo();
private Gesture gesture = new Gesture();
private int gestureShowTime = 0;
// Use this for initialization
void Start()
{
WebCamTexture webcamTexture = new WebCamTexture();
Renderer renderer = GetComponent<Renderer>();
renderer.material.mainTexture = webcamTexture;
webcamTexture.Play();
}
// Update is called once per frame
void Update ()
{
gesturesRecognizer.ProcessFrame(ref image);
// check if we need to draw gesture information on top of image
if (gestureShowTime > 0)
{
if ((gesture.LeftHand == HandPosition.NotRaised) || (gesture.RightHand != HandPosition.NotRaised))
{
System.Drawing.Graphics g = System.Drawing.Graphics.FromImage(image);
string text = string.Format("Left = " + gesture.LeftHand + "\nRight = " + gesture.RightHand);
System.Drawing.Font drawFont = new System.Drawing.Font("Courier", 13, System.Drawing.FontStyle.Bold);
SolidBrush drawBrush = new SolidBrush(System.Drawing.Color.Blue);
g.DrawString(text, drawFont, drawBrush, new PointF(0, 5));
drawFont.Dispose();
drawBrush.Dispose();
g.Dispose();
}
gestureShowTime--;
}
}
}
As mentioned in the comments (which I am not able to reply to at the moment) those libraries always heavely depend on system.drawing libraries, which are kind of windows only.
What you could try is downloading the drawing library dll (or copying from your system folder) into your unity project (it's managed code, so it'll run on every exportable platform) to keep teh references. Then you could capture a texture2d every frame (rendertextures or so) and draw those pixels into a bitmap which is fed to the library.
Note that copying thousands of pixels every frame is really really heavy. you'd have to convert the UnityEngine.Color to System.Drawing.Color...
This is the easies solution that might work. But definitly not a good final one.
I'm entirely unfamiliar with Unity3D's more complex feature set and am curious if it has the capability to take a picture and then manipulate it. Specifically my desire is to have the user take a selfie and then have them trace around their face to create a PNG that would then be texture mapped onto a model.
I know that the face mapping onto a model is simple, but I'm wondering if I need to write the photo/carving functionality into the encompassing Chrome app, or if it can all be done from within Unity. I don't need a tutorial on how to do it, just asking if it's something that is possible.
Yes, this is possible. You will want to look at the WebCamTexture functionality.
You create a WebCamTexture and call its Play() function which starts the camera. WebCamTexture, as any Texture, allows you to get the pixels via a GetPixels() call. This allows you to take a snapshot in when you like, and you can save this in a Texture2D. A call to EncodeToPNG() and subsequent write to file should get you there.
Do note that the code below is a quick write-up based on the documentation. I have not tested it. You might have to select a correct device if there are more than one available.
using UnityEngine;
using System.Collections;
using System.IO;
public class WebCamPhotoCamera : MonoBehaviour
{
WebCamTexture webCamTexture;
void Start()
{
webCamTexture = new WebCamTexture();
GetComponent<Renderer>().material.mainTexture = webCamTexture; //Add Mesh Renderer to the GameObject to which this script is attached to
webCamTexture.Play();
}
IEnumerator TakePhoto() // Start this Coroutine on some button click
{
// NOTE - you almost certainly have to do this here:
yield return new WaitForEndOfFrame();
// it's a rare case where the Unity doco is pretty clear,
// http://docs.unity3d.com/ScriptReference/WaitForEndOfFrame.html
// be sure to scroll down to the SECOND long example on that doco page
Texture2D photo = new Texture2D(webCamTexture.width, webCamTexture.height);
photo.SetPixels(webCamTexture.GetPixels());
photo.Apply();
//Encode to a PNG
byte[] bytes = photo.EncodeToPNG();
//Write out the PNG. Of course you have to substitute your_path for something sensible
File.WriteAllBytes(your_path + "photo.png", bytes);
}
}
For those trying to get the camera to render live feed, here's how I managed to pull it off. First, I edited Bart's answer so the texture would be assigned on Update rather than just on Start:
void Start()
{
webCamTexture = new WebCamTexture();
webCamTexture.Play();
}
void Update()
{
GetComponent<RawImage>().texture = webCamTexture;
}
Then I attached the script to a GameObject with a RawImage component. You can easily create one by Right Click -> UI -> RawImage in the Hierarchy in the Unity Editor (this requires Unity 4.6 and above). Running it should show a live feed of the camera in your view. As of this writing, Unity 5 supports the use of webcams in the free personal edition of Unity 5.
I hope this helps anyone looking for a good way to capture live camera feed in Unity.
It is possible. I highly recommend you look at WebcamTexture Unity API. It has some useful functions:
GetPixel() -- Returns pixel color at coordinates (x, y).
GetPixels() -- Get a block of pixel colors.
GetPixels32() -- Returns the pixels data in raw format.
MarkNonReadable() -- Marks WebCamTexture as unreadable
Pause() -- Pauses the camera.
Play() -- Starts the camera.
Stop() -- Stops the camera.
Bart's answer has a required modification. I used his code and the pic I was getting was black. Required modification is that we have to
convert TakePhoto to a coroutine and add
yield return new WaitForEndOfFrame();
at the start of Coroutine. (Courtsey #fafase)
For more details see
http://docs.unity3d.com/ScriptReference/WaitForEndOfFrame.html
You can also refer to
Take photo using webcam is giving black output[Unity3D]
Yes, You can. I created Android Native camera plugin that can open your Android device camera, capture image, record video and save that in the desired location of your device with just a few lines of code.
you need to find your webcam device Index by search it in the devices list and select it for webcam texture to play.
you can use this code:
using UnityEngine;
using System.Collections;
using System.IO;
using UnityEngine.UI;
using System.Collections.Generic;
public class GetCam : MonoBehaviour
{
WebCamTexture webCam;
string your_path = "C:\\Users\\Jay\\Desktop";// any path you want to save your image
public RawImage display;
public AspectRatioFitter fit;
public void Start()
{
if(WebCamTexture.devices.Length==0)
{
Debug.LogError("can not found any camera!");
return;
}
int index = -1;
for (int i = 0; i < WebCamTexture.devices.Length; i++)
{
if (WebCamTexture.devices[i].name.ToLower().Contains("your webcam name"))
{
Debug.LogError("WebCam Name:" + WebCamTexture.devices[i].name + " Webcam Index:" + i);
index = i;
}
}
if (index == -1)
{
Debug.LogError("can not found your camera name!");
return;
}
WebCamDevice device = WebCamTexture.devices[index];
webCam = new WebCamTexture(device.name);
webCam.Play();
StartCoroutine(TakePhoto());
display.texture = webCam;
}
public void Update()
{
float ratio = (float)webCam.width / (float)webCam.height;
fit.aspectRatio = ratio;
float ScaleY = webCam.videoVerticallyMirrored ? -1f : 1f;
display.rectTransform.localScale = new Vector3(1f, ScaleY, 1f);
int orient = -webCam.videoRotationAngle;
display.rectTransform.localEulerAngles = new Vector3(0, 0, orient);
}
public void callTakePhoto() // call this function in button click event
{
StartCoroutine(TakePhoto());
}
IEnumerator TakePhoto() // Start this Coroutine on some button click
{
// NOTE - you almost certainly have to do this here:
yield return new WaitForEndOfFrame();
// it's a rare case where the Unity doco is pretty clear,
// http://docs.unity3d.com/ScriptReference/WaitForEndOfFrame.html
// be sure to scroll down to the SECOND long example on that doco page
Texture2D photo = new Texture2D(webCam.width, webCam.height);
photo.SetPixels(webCam.GetPixels());
photo.Apply();
//Encode to a PNG
byte[] bytes = photo.EncodeToPNG();
//Write out the PNG. Of course you have to substitute your_path for something sensible
File.WriteAllBytes(your_path + "\\photo.png", bytes);
}
}
There is a plugin available for this type of functionality called Camera Capture Kit - https://www.assetstore.unity3d.com/en/#!/content/56673 and while the functionality provided is geared towards mobile it contains a demo of how you can use the WebCamTexture to take a still image.
If you want to do that without using a third party plugin then #FuntionR solution will help you. But, if you want to save the captured photo to the gallery (Android & iOS)then it's not possible within unity, you have to write native code to transfer photo to gallery and then call it from unity.
Here is a summarise blog which will guide you to achieve your goal.
http://unitydevelopers.blogspot.com/2018/07/pick-image-from-gallery-in-unity3d.html
Edit: Note that, the above thread describes image picking from the gallery, but the same process will be for saving the image to the gallery.
I have tried to search for this question a lot, but never have seen any satisfactory answers, so now I have a last hope here.
I have an onPreviewFrame callback set up. Which gives a byte[] of raw frames with supported preview format(NV21 with H.264 encoded type).
Now, the problem is callback always starts giving byte[] frames from a fixed orientation, whenever device rotates it doesn't reflect to captured byte[] frames. I have tried with setDisplayOrientation and setRotation but these api's are only reflecting to preview which is being displayed not at all to the captured byte [] frames.
Android docs even says, Camera.setDisplayOrientation only affects the displaying preview, not the frame bytes:
This does not affect the order of byte array passed in onPreviewFrame(byte[], Camera), JPEG pictures, or recorded videos.
Finally Is there a way, at any API level, to change the orientation of the byte[] frames?
One possible way if you don't care about the format is to the use YuvImage class to get a JPEG buffer, use this buffer to create a Bitmap and rotate it to the corresponding angle. Something like that:
#Override
public void onPreviewFrame(byte[] data, Camera camera) {
Size previewSize = camera.getParameters().getPreviewSize();
ByteArrayOutputStream baos = new ByteArrayOutputStream();
byte[] rawImage = null;
// Decode image from the retrieved buffer to JPEG
YuvImage yuv = new YuvImage(data, ImageFormat.NV21, previewSize.width, previewSize.height, null);
yuv.compressToJpeg(new Rect(0, 0, previewSize.width, previewSize.height), YOUR_JPEG_COMPRESSION, baos);
rawImage = baos.toByteArray();
// This is the same image as the preview but in JPEG and not rotated
Bitmap bitmap = BitmapFactory.decodeByteArray(rawImage, 0, rawImage.length);
ByteArrayOutputStream rotatedStream = new ByteArrayOutputStream();
// Rotate the Bitmap
Matrix matrix = new Matrix();
matrix.postRotate(YOUR_DEFAULT_ROTATION);
// We rotate the same Bitmap
bitmap = Bitmap.createBitmap(bitmap, 0, 0, previewSize.width, previewSize.height, matrix, false);
// We dump the rotated Bitmap to the stream
bitmap.compress(CompressFormat.JPEG, YOUR_JPEG_COMPRESSION, rotatedStream);
rawImage = rotatedStream.toByteArray();
// Do something we this byte array
}
I have modified the onPreviewFrame method of this Open Source Android Touch-To-Record library to take transpose and resize a captured frame.
I defined "yuvIplImage" as following in my setCameraParams() method.
IplImage yuvIplImage = IplImage.create(mPreviewSize.height, mPreviewSize.width, opencv_core.IPL_DEPTH_8U, 2);
This is my onPreviewFrame() method:
#Override
public void onPreviewFrame(byte[] data, Camera camera)
{
long frameTimeStamp = 0L;
if(FragmentCamera.mAudioTimestamp == 0L && FragmentCamera.firstTime > 0L)
{
frameTimeStamp = 1000L * (System.currentTimeMillis() - FragmentCamera.firstTime);
}
else if(FragmentCamera.mLastAudioTimestamp == FragmentCamera.mAudioTimestamp)
{
frameTimeStamp = FragmentCamera.mAudioTimestamp + FragmentCamera.frameTime;
}
else
{
long l2 = (System.nanoTime() - FragmentCamera.mAudioTimeRecorded) / 1000L;
frameTimeStamp = l2 + FragmentCamera.mAudioTimestamp;
FragmentCamera.mLastAudioTimestamp = FragmentCamera.mAudioTimestamp;
}
synchronized(FragmentCamera.mVideoRecordLock)
{
if(FragmentCamera.recording && FragmentCamera.rec && lastSavedframe != null && lastSavedframe.getFrameBytesData() != null && yuvIplImage != null)
{
FragmentCamera.mVideoTimestamp += FragmentCamera.frameTime;
if(lastSavedframe.getTimeStamp() > FragmentCamera.mVideoTimestamp)
{
FragmentCamera.mVideoTimestamp = lastSavedframe.getTimeStamp();
}
try
{
yuvIplImage.getByteBuffer().put(lastSavedframe.getFrameBytesData());
IplImage bgrImage = IplImage.create(mPreviewSize.width, mPreviewSize.height, opencv_core.IPL_DEPTH_8U, 4);// In my case, mPreviewSize.width = 1280 and mPreviewSize.height = 720
IplImage transposed = IplImage.create(mPreviewSize.height, mPreviewSize.width, yuvIplImage.depth(), 4);
IplImage squared = IplImage.create(mPreviewSize.height, mPreviewSize.height, yuvIplImage.depth(), 4);
int[] _temp = new int[mPreviewSize.width * mPreviewSize.height];
Util.YUV_NV21_TO_BGR(_temp, data, mPreviewSize.width, mPreviewSize.height);
bgrImage.getIntBuffer().put(_temp);
opencv_core.cvTranspose(bgrImage, transposed);
opencv_core.cvFlip(transposed, transposed, 1);
opencv_core.cvSetImageROI(transposed, opencv_core.cvRect(0, 0, mPreviewSize.height, mPreviewSize.height));
opencv_core.cvCopy(transposed, squared, null);
opencv_core.cvResetImageROI(transposed);
videoRecorder.setTimestamp(lastSavedframe.getTimeStamp());
videoRecorder.record(squared);
}
catch(com.googlecode.javacv.FrameRecorder.Exception e)
{
e.printStackTrace();
}
}
lastSavedframe = new SavedFrames(data, frameTimeStamp);
}
}
This code uses a method "YUV_NV21_TO_BGR", which I found from this link
Basically this method is used to resolve, which I call as, "The Green Devil problem on Android". You can see other android devs facing the same problem on other SO threads. Before adding "YUV_NV21_TO_BGR" method when I just took transpose of YuvIplImage, more importantly a combination of transpose, flip (with or without resizing), there was greenish output in resulting video. This "YUV_NV21_TO_BGR" method saved the day. Thanks to #David Han from above google groups thread.
Also you should know that all this processing (transpose, flip and resize), in onPreviewFrame, takes much time which causes you a very serious hit on your Frames Per Second (FPS) rate. When I used this code, inside onPreviewFrame method, the resulting FPS of the recorded video was down to 3 frames/sec from 30fps.
I would advise not to use this approach. Rather you can go for post-recording processing (transpose, flip and resize) of your video file using JavaCV in an AsyncTask. Hope this helps.
I use an Image object to load a png image as a thumbnail by calling its setPixelSize() method to resize the image. I also need to retrieve the original size of the image as integers at some point. How can I get the original sizes (width, height) of the image?
ok i found a workaround: I use a dummy container (SimplePanel) and load the image without scaling save its real dimensions and then remove the container from the parent and discard the new Image object. I don't know if this a good workaround, but it works. Although i would like to know if there is another way...
problem of the workaround: I have a droplist from which i can select logical folders (which contain images). When i select a new folder, and the new set of images is loaded on display, then i get 0 for width and 0 for height.
private void getTrueSize(String fullUrl) {
Image trueImage = new Image();
this.tstCon.add(trueImage);
trueImage.setUrl(fullUrl);
this.trueHeight = trueImage.getHeight();
this.trueWidth = trueImage.getWidth();
//this.tstCon.remove(trueImage);
//trueImage = null;
GWT.log("Image [" + this.imgTitle + "] -> height=" + this.trueHeight + " -> width=" + this.trueWidth);//
}
Extend the Image class and implement onAttach() method. This method is called when a widget is attached to the browser's document.
public class Thumb extends Image {
public Thumb(){
super();
}
protected void onAttach(){
Window.alert(getOffsetHeight()+" "+getOffsetWidth()); //this should give you the original value
setPixelSize(10,10); // this should be the visible value
super.onAttach();
}
}
if this doesn't work, try implementing onLoad() instead of onAttach(), since onLoad() will be called after the image is added to DOM so that it definately should work.
Its the easiest way to create a new hidden Image (placed absolute outside the viewport) and read the size. There is a JavaScript lib that can read the exif data of the image but this would be overkill in this case.
Read naturalHeight and naturalWidth of the image element after image load.
public Panel() {
image = new Image();
image.addLoadHandler(this::onLoad);
}
private void onLoad(#SuppressWarnings("unused") LoadEvent event) {
origImageWidth = getNaturalWidth(image);
origImageHeight = getNaturalHeight(image);
}
private static int getNaturalHeight(Image img) {
return img.getElement().getPropertyInt("naturalHeight"); //$NON-NLS-1$
}
private static int getNaturalWidth(Image img) {
return img.getElement().getPropertyInt("naturalWidth"); //$NON-NLS-1$
}