我试图让Android camera2在后台服务中运行，然后在回调ImageReader.OnImageAvailableListener中处理该帧。我已经使用建议的原始格式YUV_420_888来获得最大fps，但是我只能在分辨率640x480上获得7fps左右。这甚至比我使用旧的Camera接口（我想升级到Camera2以获得更高的fps）或使用OpenCV JavaCameraView（我不能使用它，因为我需要在后台服务中运行处理）更慢。
以下是我的服务类。我错过了什么？
我的手机是运行Android 5.0.2的Redmi Note 3
public class Camera2ServiceYUV extends Service {
protected static final String TAG = "VideoProcessing";
protected static final int CAMERACHOICE = CameraCharacteristics.LENS_FACING_BACK;
protected CameraDevice cameraDevice;
protected CameraCaptureSession captureSession;
protected ImageReader imageReader;
// A semaphore to prevent the app from exiting before closing the camera.
private Semaphore mCameraOpenCloseLock = new Semaphore(1);
public static final String RESULT_RECEIVER = "resultReceiver";
private static final int JPEG_COMPRESSION = 90;
public static final int RESULT_OK = 0;
public static final int RESULT_DEVICE_NO_CAMERA= 1;
public static final int RESULT_GET_CAMERA_FAILED = 2;
public static final int RESULT_ALREADY_RUNNING = 3;
public static final int RESULT_NOT_RUNNING = 4;
private static final String START_SERVICE_COMMAND = "startServiceCommands";
private static final int COMMAND_NONE = -1;
private static final int COMMAND_START = 0;
private static final int COMMAND_STOP = 1;
private boolean mRunning = false;
public Camera2ServiceYUV() {
}
public static void startToStart(Context context, ResultReceiver resultReceiver) {
Intent intent = new Intent(context, Camera2ServiceYUV.class);
intent.putExtra(START_SERVICE_COMMAND, COMMAND_START);
intent.putExtra(RESULT_RECEIVER, resultReceiver);
context.startService(intent);
}
public static void startToStop(Context context, ResultReceiver resultReceiver) {
Intent intent = new Intent(context, Camera2ServiceYUV.class);
intent.putExtra(START_SERVICE_COMMAND, COMMAND_STOP);
intent.putExtra(RESULT_RECEIVER, resultReceiver);
context.startService(intent);
}
// SERVICE INTERFACE
@Override
public int onStartCommand(Intent intent, int flags, int startId) {
switch (intent.getIntExtra(START_SERVICE_COMMAND, COMMAND_NONE)) {
case COMMAND_START:
startCamera(intent);
break;
case COMMAND_STOP:
stopCamera(intent);
break;
default:
throw new UnsupportedOperationException("Cannot start the camera service with an illegal command.");
}
return START_STICKY;
}
@Override
public void onDestroy() {
try {
captureSession.abortCaptures();
} catch (CameraAccessException e) {
Log.e(TAG, e.getMessage());
}
captureSession.close();
}
@Override
public IBinder onBind(Intent intent) {
return null;
}
// CAMERA2 INTERFACE
/**
* 1. The android CameraManager class is used to manage all the camera devices in our android device
* Each camera device has a range of properties and settings that describe the device.
* It can be obtained through the camera characteristics.
*/
public void startCamera(Intent intent) {
final ResultReceiver resultReceiver = intent.getParcelableExtra(RESULT_RECEIVER);
if (mRunning) {
resultReceiver.send(RESULT_ALREADY_RUNNING, null);
return;
}
mRunning = true;
CameraManager manager = (CameraManager) getSystemService(CAMERA_SERVICE);
try {
if (!mCameraOpenCloseLock.tryAcquire(2500, TimeUnit.MILLISECONDS)) {
throw new RuntimeException("Time out waiting to lock camera opening.");
}
String pickedCamera = getCamera(manager);
Log.e(TAG,"AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA " + pickedCamera);
manager.openCamera(pickedCamera, cameraStateCallback, null);
CameraCharacteristics characteristics = manager.getCameraCharacteristics(pickedCamera);
Size[] jpegSizes = null;
if (characteristics != null) {
jpegSizes = characteristics.get(CameraCharacteristics.SCALER_STREAM_CONFIGURATION_MAP).getOutputSizes(ImageFormat.YUV_420_888);
}
int width = 640;
int height = 480;
// if (jpegSizes != null && 0 < jpegSizes.length) {
// width = jpegSizes[jpegSizes.length -1].getWidth();
// height = jpegSizes[jpegSizes.length - 1].getHeight();
// }
// for(Size s : jpegSizes)
// {
// Log.e(TAG,"Size = " + s.toString());
// }
// DEBUG
StreamConfigurationMap map = characteristics.get(
CameraCharacteristics.SCALER_STREAM_CONFIGURATION_MAP);
if (map == null) {
return;
}
Log.e(TAG,"Width = " + width + ", Height = " + height);
Log.e(TAG,"output stall duration = " + map.getOutputStallDuration(ImageFormat.YUV_420_888, new Size(width,height)) );
Log.e(TAG,"Min output stall duration = " + map.getOutputMinFrameDuration(ImageFormat.YUV_420_888, new Size(width,height)) );
// Size[] sizeList = map.getInputSizes(ImageFormat.YUV_420_888);
// for(Size s : sizeList)
// {
// Log.e(TAG,"Size = " + s.toString());
// }
imageReader = ImageReader.newInstance(width, height, ImageFormat.YUV_420_888, 2 /* images buffered */);
imageReader.setOnImageAvailableListener(onImageAvailableListener, null);
Log.i(TAG, "imageReader created");
} catch (CameraAccessException e) {
Log.e(TAG, e.getMessage());
resultReceiver.send(RESULT_DEVICE_NO_CAMERA, null);
}catch (InterruptedException e) {
resultReceiver.send(RESULT_GET_CAMERA_FAILED, null);
throw new RuntimeException("Interrupted while trying to lock camera opening.", e);
}
catch(SecurityException se)
{
resultReceiver.send(RESULT_GET_CAMERA_FAILED, null);
throw new RuntimeException("Security permission exception while trying to open the camera.", se);
}
resultReceiver.send(RESULT_OK, null);
}
// We can pick the camera being used, i.e. rear camera in this case.
private String getCamera(CameraManager manager) {
try {
for (String cameraId : manager.getCameraIdList()) {
CameraCharacteristics characteristics = manager.getCameraCharacteristics(cameraId);
int cOrientation = characteristics.get(CameraCharacteristics.LENS_FACING);
if (cOrientation == CAMERACHOICE) {
return cameraId;
}
}
} catch (CameraAccessException e) {
e.printStackTrace();
}
return null;
}
/**
* 1.1 Callbacks when the camera changes its state - opened, disconnected, or error.
*/
protected CameraDevice.StateCallback cameraStateCallback = new CameraDevice.StateCallback() {
@Override
public void onOpened(@NonNull CameraDevice camera) {
Log.i(TAG, "CameraDevice.StateCallback onOpened");
mCameraOpenCloseLock.release();
cameraDevice = camera;
createCaptureSession();
}
@Override
public void onDisconnected(@NonNull CameraDevice camera) {
Log.w(TAG, "CameraDevice.StateCallback onDisconnected");
mCameraOpenCloseLock.release();
camera.close();
cameraDevice = null;
}
@Override
public void onError(@NonNull CameraDevice camera, int error) {
Log.e(TAG, "CameraDevice.StateCallback onError " + error);
mCameraOpenCloseLock.release();
camera.close();
cameraDevice = null;
}
};
/**
* 2. To capture or stream images from a camera device, the application must first create
* a camera capture captureSession.
* The camera capture needs a surface to output what has been captured, in this case
* we use ImageReader in order to access the frame data.
*/
public void createCaptureSession() {
try {
cameraDevice.createCaptureSession(Arrays.asList(imageReader.getSurface()), sessionStateCallback, null);
} catch (CameraAccessException e) {
Log.e(TAG, e.getMessage());
}
}
protected CameraCaptureSession.StateCallback sessionStateCallback = new CameraCaptureSession.StateCallback() {
@Override
public void onConfigured(@NonNull CameraCaptureSession session) {
Log.i(TAG, "CameraCaptureSession.StateCallback onConfigured");
// The camera is already closed
if (null == cameraDevice) {
return;
}
// When the captureSession is ready, we start to grab the frame.
Camera2ServiceYUV.this.captureSession = session;
try {
session.setRepeatingRequest(createCaptureRequest(), null, null);
} catch (CameraAccessException e) {
Log.e(TAG, e.getMessage());
}
}
@Override
public void onConfigureFailed(@NonNull CameraCaptureSession session) {
Log.e(TAG, "CameraCaptureSession.StateCallback onConfigureFailed");
}
};
/**
* 3. The application then needs to construct a CaptureRequest, which defines all the capture parameters
* needed by a camera device to capture a single image.
*/
private CaptureRequest createCaptureRequest() {
try {
/**
* Check other templates for further details.
* TEMPLATE_MANUAL = 6
* TEMPLATE_PREVIEW = 1
* TEMPLATE_RECORD = 3
* TEMPLATE_STILL_CAPTURE = 2
* TEMPLATE_VIDEO_SNAPSHOT = 4
* TEMPLATE_ZERO_SHUTTER_LAG = 5
*
* TODO: can set camera features like auto focus, auto flash here
* captureRequestBuilder.set(CaptureRequest.CONTROL_AF_MODE,CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE);
*/
CaptureRequest.Builder captureRequestBuilder = cameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_RECORD);
// captureRequestBuilder.set(CaptureRequest.EDGE_MODE,
// CaptureRequest.EDGE_MODE_OFF);
// captureRequestBuilder.set(
// CaptureRequest.LENS_OPTICAL_STABILIZATION_MODE,
// CaptureRequest.LENS_OPTICAL_STABILIZATION_MODE_ON);
// captureRequestBuilder.set(
// CaptureRequest.COLOR_CORRECTION_ABERRATION_MODE,
// CaptureRequest.COLOR_CORRECTION_ABERRATION_MODE_OFF);
// captureRequestBuilder.set(CaptureRequest.NOISE_REDUCTION_MODE,
// CaptureRequest.NOISE_REDUCTION_MODE_OFF);
// captureRequestBuilder.set(CaptureRequest.CONTROL_AF_TRIGGER,
// CaptureRequest.CONTROL_AF_TRIGGER_CANCEL);
//
// captureRequestBuilder.set(CaptureRequest.CONTROL_AE_LOCK, true);
// captureRequestBuilder.set(CaptureRequest.CONTROL_AWB_LOCK, true);
captureRequestBuilder.addTarget(imageReader.getSurface());
return captureRequestBuilder.build();
} catch (CameraAccessException e) {
Log.e(TAG, e.getMessage());
return null;
}
}
/**
* ImageReader provides a surface for the camera to output what has been captured.
* Upon the image available, call processImage() to process the image as desired.
*/
private long frameTime = 0;
private ImageReader.OnImageAvailableListener onImageAvailableListener = new ImageReader.OnImageAvailableListener() {
@Override
public void onImageAvailable(ImageReader reader) {
Log.i(TAG, "called ImageReader.OnImageAvailable");
Image img = reader.acquireLatestImage();
if (img != null) {
if( frameTime != 0 )
{
Log.e(TAG, "fps = " + (float)(1000.0 / (float)(SystemClock.elapsedRealtime() - frameTime)) + " fps");
}
frameTime = SystemClock.elapsedRealtime();
img.close();
}
}
};
private void processImage(Image image) {
Mat outputImage = imageToMat(image);
Bitmap bmp = Bitmap.createBitmap(outputImage.cols(), outputImage.rows(), Bitmap.Config.ARGB_8888);
Utils.bitmapToMat(bmp, outputImage);
Point mid = new Point(0, 0);
Point inEnd = new Point(outputImage.cols(), outputImage.rows());
Imgproc.line(outputImage, mid, inEnd, new Scalar(255, 0, 0), 2, Core.LINE_AA, 0);
Utils.matToBitmap(outputImage, bmp);
Intent broadcast = new Intent();
broadcast.setAction("your_load_photo_action");
broadcast.putExtra("BitmapImage", bmp);
sendBroadcast(broadcast);
}
private Mat imageToMat(Image image) {
ByteBuffer buffer;
int rowStride;
int pixelStride;
int width = image.getWidth();
int height = image.getHeight();
int offset = 0;
Image.Plane[] planes = image.getPlanes();
byte[] data = new byte[image.getWidth() * image.getHeight() * ImageFormat.getBitsPerPixel(ImageFormat.YUV_420_888) / 8];
byte[] rowData = new byte[planes[0].getRowStride()];
for (int i = 0; i < planes.length; i++) {
buffer = planes[i].getBuffer();
rowStride = planes[i].getRowStride();
pixelStride = planes[i].getPixelStride();
int w = (i == 0) ? width : width / 2;
int h = (i == 0) ? height : height / 2;
for (int row = 0; row < h; row++) {
int bytesPerPixel = ImageFormat.getBitsPerPixel(ImageFormat.YUV_420_888) / 8;
if (pixelStride == bytesPerPixel) {
int length = w * bytesPerPixel;
buffer.get(data, offset, length);
// Advance buffer the remainder of the row stride, unless on the last row.
// Otherwise, this will throw an IllegalArgumentException because the buffer
// doesn't include the last padding.
if (h - row != 1) {
buffer.position(buffer.position() + rowStride - length);
}
offset += length;
} else {
// On the last row only read the width of the image minus the pixel stride
// plus one. Otherwise, this will throw a BufferUnderflowException because the
// buffer doesn't include the last padding.
if (h - row == 1) {
buffer.get(rowData, 0, width - pixelStride + 1);
} else {
buffer.get(rowData, 0, rowStride);
}
for (int col = 0; col < w; col++) {
data[offset++] = rowData[col * pixelStride];
}
}
}
}
// Finally, create the Mat.
Mat mat = new Mat(height + height / 2, width, CV_8UC1);
mat.put(0, 0, data);
return mat;
}
private void stopCamera(Intent intent) {
ResultReceiver resultReceiver = intent.getParcelableExtra(RESULT_RECEIVER);
if (!mRunning) {
resultReceiver.send(RESULT_NOT_RUNNING, null);
return;
}
closeCamera();
resultReceiver.send(RESULT_OK, null);
mRunning = false;
Log.d(TAG, "Service is finished.");
}
/**
* Closes the current {@link CameraDevice}.
*/
private void closeCamera() {
try {
mCameraOpenCloseLock.acquire();
if (null != captureSession) {
captureSession.close();
captureSession = null;
}
if (null != cameraDevice) {
cameraDevice.close();
cameraDevice = null;
}
if (null != imageReader) {
imageReader.close();
imageReader = null;
}
} catch (InterruptedException e) {
throw new RuntimeException("Interrupted while trying to lock camera closing.", e);
} finally {
mCameraOpenCloseLock.release();
}
}
}
答案 0 :(得分：2)
最近，当我尝试将AR应用程序从camera1升级到camera2 API时遇到了这个问题，我使用了具有Exynos 7872 CPU和Mali-G71的中端设备进行测试（魅族S6） GPU。我想要实现的是稳定的30fps AR体验。
但是通过迁移，我发现使用Camera2 API获得不错的预览帧速率非常困难。
我使用TEMPLATE_PREVIEW
mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW);
然后我放置2个表面，一个用于预览的表面是大小为1280x720的surfaceTexture， 另一个ImageReader，尺寸为1280x720，用于图像处理。
mImageReader = ImageReader.newInstance(
mVideoSize.getWidth(),
mVideoSize.getHeight(),
ImageFormat.YUV_420_888,
2);
List<Surface> surfaces =new ArrayList<>();
Surface previewSurface = new Surface(mSurfaceTexture);
surfaces.add(previewSurface);
mPreviewBuilder.addTarget(previewSurface);
Surface frameCaptureSurface = mImageReader.getSurface();
surfaces.add(frameCaptureSurface);
mPreviewBuilder.addTarget(frameCaptureSurface);
mPreviewBuilder.set(CaptureRequest.CONTROL_AF_MODE,
CameraMetadata.CONTROL_AF_MODE_CONTINUOUS_PICTURE);
mPreviewSession.setRepeatingRequest(mPreviewBuilder.build(), captureCallback, mBackgroundHandler);
一切正常，我的TextureView得到更新，framecallback也被调用，除了...帧速率约为 10 fps ，而且我什至没有任何图像处理。
我已经尝试了许多Camera2 API设置，包括SENSOR_FRAME_DURATION和不同的ImageFormat和大小组合，但是它们都不能提高帧速率。但是，如果我只是从输出表面移除ImageReader，则预览可以轻松获得30 fps！
所以我想问题是通过添加ImageReader，因为Camera2输出表面会大大降低预览帧速率。至少就我而言，解决方案是什么？
我的解决方案是 glReadPixel
我知道glReadPixel是一件邪恶的事情，因为它会将字节从GPU复制到主内存，并且还会导致OpenGL刷新绘制命令，因此出于性能考虑，我们最好避免使用它。但是令人惊讶的是glReadPixel实际上非常快，并且提供了比ImageReader的YUV_420_888输出更好的帧速率。
除了减少内存开销外，我还使用较小的帧缓冲区（例如360x640）而不是专用于功能检测的预览版720p进行了另一个绘制调用。
答案 1 :(得分：1)
基于openCV库对camera2的实现。 我遇到了同样的问题，然后我注意到JavaCamera2View的openCV代码中的这段代码，您需要通过以下方式更改CaptureRequest.Builder的设置：
CaptureRequest.Builder captureBuilder = mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW);
captureBuilder.set(CaptureRequest.CONTROL_AF_MODE, CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE);
captureBuilder.set(CaptureRequest.CONTROL_AE_MODE, CaptureRequest.CONTROL_AE_MODE_ON_AUTO_FLASH);
对我来说，它将fps从10fps更改为28-30fps。为我工作了两个目标表面，一个是预览纹理视图的表面，另一个是ImageReader：
Surface readerSurface = imageReader.getSurface();
Surface surface = new Surface(surfaceTexture);
captureBuilder.addTarget(surface);
captureBuilder.addTarget(readerSurface);
答案 2 :(得分：0)
无法发表评论（重复次数不足）。但是在Redmi 6中也遇到了同样的问题。
如果使用TextureView预览相机输出，我大约可以达到30 fps，但是用ImageReader代替它可以降低到8/9 fps。在这两种情况下，所有相机配置均相同。
有趣的是，在尝试CameraXBasic时，它显示了相同的问题。相机的更新缓慢。但是android-Camera2Basic（使用TextureView）运行时没有任何问题。
更新：1 经过测试，将预览尺寸从1280x720减小到640x480，并且可以看到更好的效果。
答案 3 :(得分：0)
这是我稍作调整后所知道的，问题出在ImageReader的maxImage参数上，我将其从2更改为3到56，将fps改变了很多，我认为这是我们渲染的表面当ImageReader.OnImageAvailableListener的Image类正在处理或未释放时，从ImageReader到camera2的趋向于阻止将相机的图像保存到缓冲区/缓存的过程，或者我们可以说相机想要使用缓冲区，但它没有没有足够的缓冲区，因此当我们增加imageReader的最大缓冲区时，可以为camera2留出空间来保存图像。