这篇文章主要介绍分别采用Camera1、Camera2、CameraX API接口获取Camera数据流，并集成ArcSoft人脸识别算法。

ArcSoft官方的demo是采用的Camera1接口，我前面也写过一篇单独Camera2 接口集成Arcsoft接口的文章（全网首发：Android Camera2 集成人脸识别算法）

01

应用设计流程图

如下图所示，应用流程比较简单，分别从不同的API接口获取到Camera数据流数据，然后送到ArcSoft人脸识别算法库中进行识别，最终将识别结果绘制到界面上。

02

应用界面

CameraX需要和界面生命周期进行绑定，所以主界面设计成了2个Button入口，一个入口是Camera1和Camera2共用，一个是CameraX独立的入口。

如下图所示：Camera1和Camera2之间可以互相切换。

CameraX是单独的界面。

03

代码实现

1） Camera1 API的使用：

 private void startCameraByApi1() {        DisplayMetrics metrics = new DisplayMetrics();        getWindowManager().getDefaultDisplay().getMetrics(metrics);        CameraListener cameraListener = new CameraListener() {            @Override            public void onCameraOpened(Camera camera, int cameraId, int displayOrientation, boolean isMirror) {                Camera.Size previewSize = camera.getParameters().getPreviewSize();                mPreviewSize = new Size(previewSize.width,previewSize.height);                drawHelper = new DrawHelper(previewSize.width, previewSize.height, previewView.getWidth(), previewView.getHeight(), displayOrientation                        , cameraId, isMirror, false, false);            }
            @Override            public void onPreview(byte[] nv21, Camera camera) {                drawFaceInfo(nv21);            }
            @Override            public void onCameraClosed() {            }
            @Override            public void onCameraError(Exception e) {            }
            @Override            public void onCameraConfigurationChanged(int cameraID, int displayOrientation) {                if (drawHelper != null) {                    drawHelper.setCameraDisplayOrientation(displayOrientation);                }            }        };
        cameraAPI1Helper = new Camera1ApiHelper.Builder()                .previewViewSize(new Point(previewView.getMeasuredWidth(), previewView.getMeasuredHeight()))                .rotation(getWindowManager().getDefaultDisplay().getRotation())                .specificCameraId(Camera.CameraInfo.CAMERA_FACING_BACK)                .isMirror(false)                .previewOn(previewView)                .cameraListener(cameraListener)                .build();        cameraAPI1Helper.init();        cameraAPI1Helper.start();    }

2） Camera2 API的使用：

 private void openCameraApi2(int width, int height) {        Log.v(TAG, "---- openCameraAPi2();width: " + width + ";height: " + height);
        setUpCameraOutputs(width, height);        CameraManager manager = (CameraManager) getSystemService(Context.CAMERA_SERVICE);        try {            if (!mCameraOpenCloseLock.tryAcquire(2500, TimeUnit.MILLISECONDS)) {                throw new RuntimeException("Time out waiting to lock back camera opening.");            }            manager.openCamera(mCameraId, mStateCallback, mBackgroundHandler);        } catch (CameraAccessException e) {            e.printStackTrace();        } catch (InterruptedException e) {            throw new RuntimeException("Interrupted while trying to lock camera opening.", e);        }    }

 private final CameraDevice.StateCallback mStateCallback = new CameraDevice.StateCallback() {        @Override        public void onOpened(@NonNull CameraDevice cameraDevice) {            initArcsoftDrawHelper();
            mCameraOpenCloseLock.release();            mCameraDevice = cameraDevice;
            try {                Thread.sleep(500);            } catch (InterruptedException e) {                e.printStackTrace();            }
            createCameraPreviewSession();        }
        @Override        public void onDisconnected(@NonNull CameraDevice cameraDevice) {            mCameraOpenCloseLock.release();            cameraDevice.close();            mCameraDevice = null;        }
        @Override        public void onError(@NonNull CameraDevice cameraDevice, int error) {            mCameraOpenCloseLock.release();            cameraDevice.close();            mCameraDevice = null;            finish();        }    };

 private void createCameraPreviewSession() {        try {            SurfaceTexture texture = previewView.getSurfaceTexture();            assert texture != null;
            // We configure the size of default buffer to be the size of camera preview we want.            texture.setDefaultBufferSize(mPreviewSize.getWidth(), mPreviewSize.getHeight());
            // This is the output Surface we need to start preview.            Surface surface = new Surface(texture);
            mPreviewRequestBuilder                    = mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW);
            mPreviewRequestBuilder.addTarget(surface);            mPreviewRequestBuilder.addTarget(mImageReader.getSurface());
            mCameraDevice.createCaptureSession(Arrays.asList(surface, mImageReader.getSurface()),                    new CameraCaptureSession.StateCallback() {
                        @Override                        public void onConfigured(@NonNull CameraCaptureSession cameraCaptureSession) {                            Log.v(TAG, "--- Camera2API:onConfigured();");
                            if (null == mCameraDevice) {                                return;                            }
                            mPreviewCaptureSession = cameraCaptureSession;                            try {                                mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_MODE,                                        CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE);
                                mPreviewRequest = mPreviewRequestBuilder.build();                                mPreviewCaptureSession.setRepeatingRequest(mPreviewRequest,                                        null, mBackgroundHandler);                            } catch (CameraAccessException e) {                                e.printStackTrace();                            }                        }
                        @Override                        public void onConfigureFailed(                                @NonNull CameraCaptureSession cameraCaptureSession) {                            showToast("Failed");                        }                    }, null            );        } catch (CameraAccessException e) {            e.printStackTrace();        }    }

private final ImageReader.OnImageAvailableListener mOnImageAvailableListener            = new ImageReader.OnImageAvailableListener() {
        @Override        public void onImageAvailable(ImageReader reader) {            Image image = reader.acquireLatestImage();
            if(image == null){                return;            }
            synchronized (mImageReaderLock) {                if(!mImageReaderLock.equals(1)){                    Log.v(TAG, "--- image not available,just return!!!");                    image.close();                    return;                }                if (ImageFormat.YUV_420_888 == image.getFormat()) {                    Image.Plane[] planes = image.getPlanes();
                    lock.lock();                    if (y == null) {                        y = new byte[planes[0].getBuffer().limit() - planes[0].getBuffer().position()];                        u = new byte[planes[1].getBuffer().limit() - planes[1].getBuffer().position()];                        v = new byte[planes[2].getBuffer().limit() - planes[2].getBuffer().position()];                    }
                    if (image.getPlanes()[0].getBuffer().remaining() == y.length) {                        planes[0].getBuffer().get(y);                        planes[1].getBuffer().get(u);                        planes[2].getBuffer().get(v);
                        if (nv21 == null) {                            nv21 = new byte[planes[0].getRowStride() * mPreviewSize.getHeight() * 3 / 2];                        }
                        if(nv21 != null && (nv21.length != planes[0].getRowStride() * mPreviewSize.getHeight() *3/2)){                            return;                        }
                        // 回传数据是YUV422                        if (y.length / u.length == 2) {                            ImageUtil.yuv422ToYuv420sp(y, u, v, nv21, planes[0].getRowStride(), mPreviewSize.getHeight());                        }                        // 回传数据是YUV420                        else if (y.length / u.length == 4) {                            ImageUtil.yuv420ToYuv420sp(y, u, v, nv21, planes[0].getRowStride(), mPreviewSize.getHeight());                        }
                        //调用Arcsoft算法,绘制人脸信息                        drawFaceInfo(nv21);                    }                    lock.unlock();                }            }            image.close();        }    };

3） CameraX API的使用：

 private void startCameraX() {        Log.v(TAG,"--- startCameraX();");        mPreviewSize = new Size(640,480);        setPreviewViewAspectRatio();        initArcsoftDrawHelper();
        Rational rational = new Rational(mPreviewSize.getHeight(), mPreviewSize.getWidth());        // 1. preview        PreviewConfig previewConfig = new PreviewConfig.Builder()                .setTargetAspectRatio(rational)                .setTargetResolution(mPreviewSize)                .build();
        Preview preview = new Preview(previewConfig);        preview.setOnPreviewOutputUpdateListener(new Preview.OnPreviewOutputUpdateListener() {            @Override            public void onUpdated(Preview.PreviewOutput output) {                previewView.setSurfaceTexture(output.getSurfaceTexture());                configureTransform(previewView.getWidth(),previewView.getHeight());            }        });
        // 2. capture        ImageCaptureConfig imageCaptureConfig = new ImageCaptureConfig.Builder()                .setTargetAspectRatio(rational)                .setCaptureMode(ImageCapture.CaptureMode.MIN_LATENCY)                .build();        final ImageCapture imageCapture = new ImageCapture(imageCaptureConfig);
        // 3. analyze        HandlerThread handlerThread = new HandlerThread("Analyze-thread");        handlerThread.start();
        ImageAnalysisConfig imageAnalysisConfig = new ImageAnalysisConfig.Builder()                .setCallbackHandler(new Handler(handlerThread.getLooper()))                .setImageReaderMode(ImageAnalysis.ImageReaderMode.ACQUIRE_LATEST_IMAGE)                .setTargetAspectRatio(rational)                .setTargetResolution(mPreviewSize)                .build();
        ImageAnalysis imageAnalysis = new ImageAnalysis(imageAnalysisConfig);        imageAnalysis.setAnalyzer(new MyAnalyzer());
        CameraX.bindToLifecycle(this, preview, imageCapture, imageAnalysis);    }

private class MyAnalyzer implements ImageAnalysis.Analyzer {        private byte[] y;        private byte[] u;        private byte[] v;        private byte[] nv21;        private ReentrantLock lock = new ReentrantLock();        private Object mImageReaderLock = 1;//1 available,0 unAvailable
        @Override        public void analyze(ImageProxy imageProxy, int rotationDegrees) {            Image image =  imageProxy.getImage();
            if(image == null){                return;            }
            synchronized (mImageReaderLock) {                if(!mImageReaderLock.equals(1)){                    image.close();                    return;                }                if (ImageFormat.YUV_420_888 == image.getFormat()) {                    Image.Plane[] planes = image.getPlanes();                    if(mImageReaderSize == null){                        mImageReaderSize = new Size(planes[0].getRowStride(),image.getHeight());                    }
                    lock.lock();                    if (y == null) {                        y = new byte[planes[0].getBuffer().limit() - planes[0].getBuffer().position()];                        u = new byte[planes[1].getBuffer().limit() - planes[1].getBuffer().position()];                        v = new byte[planes[2].getBuffer().limit() - planes[2].getBuffer().position()];                    }
                    if (image.getPlanes()[0].getBuffer().remaining() == y.length) {                        planes[0].getBuffer().get(y);                        planes[1].getBuffer().get(u);                        planes[2].getBuffer().get(v);
                        if (nv21 == null) {                            nv21 = new byte[planes[0].getRowStride() * image.getHeight() * 3 / 2];                        }
                        if(nv21 != null && (nv21.length != planes[0].getRowStride() * image.getHeight() *3/2)){                            return;                        }
                        // 回传数据是YUV422                        if (y.length / u.length == 2) {                            ImageUtil.yuv422ToYuv420sp(y, u, v, nv21, planes[0].getRowStride(), image.getHeight());                        }                        // 回传数据是YUV420                        else if (y.length / u.length == 4) {                            nv21 = ImageUtil.yuv420ToNv21(image);                        }
                        //调用Arcsoft算法,绘制人脸信息                        drawFaceInfo(nv21,mPreviewSize);                    }                    lock.unlock();                }            }        }    }

04

遇到的问题

1）预览变形

这个是由于设置Camera预览的size和TextureView的size比例不一致导致。

我们一般会根据当前设备屏幕的size,遍历camera支持的preview size，找到适合当前设备的预览size，再根据当前预览size，动态调整textureView的显示。

2）Arcsoft Sdk Error 异常

中间遇到的关于Arcsoft sdk error异常的，可以在Arcsoft开发中心，帮助界面，输入对应的error code，根据提示信息，可以帮助我们快速定位排查问题。

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