我是Android Studio移动的开发的完全初学者。这是我到目前为止使用的代码。
我想检测如果一个人的眼睛是关闭的或不是真实的的。我使用谷歌毫升工具包。他们提供了大部分的代码，但不清楚通过现场摄像头的看法到进程（图像）。

public class EyeDetection extends AppCompatActivity {

    private ListenableFuture<ProcessCameraProvider> cameraProviderFuture;
    PreviewView previewView;

    VideoView videoView;

    @Override
    protected void onCreate(@Nullable Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);
        setContentView(R.layout.activity_eye_detection);

        previewView = findViewById(R.id.previewView);
        videoView = findViewById(R.id.video_view);

        String videoPath = "android.resource://"+getPackageName()+ "/" + R.raw.videoplayback;
        Uri uri = Uri.parse(videoPath);
        videoView.setVideoURI(uri);

        MediaController mediaController = new MediaController(this);
        videoView.setMediaController(mediaController);
        mediaController.setAnchorView(videoView);


//        FaceDetectorOptions realTimeOpts =
//                new FaceDetectorOptions.Builder()
//                        .setContourMode(FaceDetectorOptions.CONTOUR_MODE_ALL)
//                        .build();

        cameraProviderFuture = ProcessCameraProvider.getInstance(this);

        cameraProviderFuture.addListener(() -> {
            try {
                ProcessCameraProvider cameraProvider = cameraProviderFuture.get();
                bindPreview(cameraProvider);
            } catch (ExecutionException | InterruptedException e) {
                // No errors need to be handled for this Future.
                // This should never be reached.
            }
        }, ContextCompat.getMainExecutor(this));



    }

//    private class YourAnalyzer implements ImageAnalysis.Analyzer {
//
//        @Override
//        public void analyze(ImageProxy imageProxy) {
//            Image mediaImage = imageProxy.getImage();
//            if (mediaImage != null) {
//                InputImage image =
//                        InputImage.fromMediaImage(mediaImage, imageProxy.getImageInfo().getRotationDegrees());
//                // Pass image to an ML Kit Vision API
//                // ...
//            }
//        }
//
//    }

        void bindPreview(@NonNull ProcessCameraProvider cameraProvider) {
        Preview preview = new Preview.Builder()
                .build();

            mlFaceDetector(preview);

        CameraSelector cameraSelector = new CameraSelector.Builder()
                .requireLensFacing(CameraSelector.LENS_FACING_FRONT)
                .build();

        preview.setSurfaceProvider(previewView.getSurfaceProvider());

        Camera camera = cameraProvider.bindToLifecycle((LifecycleOwner)this, cameraSelector, preview);

        // For performing operations that affect all outputs.
        CameraControl cameraControl = camera.getCameraControl();
//        // For querying information and states.
//        CameraInfo cameraInfo = camera.getCameraInfo();
        cameraControl.enableTorch(true);

    }

    void mlFaceDetector(Preview preview) {

        FaceDetectorOptions highAccuracyOpts =
                new FaceDetectorOptions.Builder()
                        .setPerformanceMode(FaceDetectorOptions.PERFORMANCE_MODE_ACCURATE)
                        .setLandmarkMode(FaceDetectorOptions.LANDMARK_MODE_ALL)
                        .setClassificationMode(FaceDetectorOptions.CLASSIFICATION_MODE_ALL)
                        .build();

        FaceDetector detector = FaceDetection.getClient(highAccuracyOpts);

        Task<List<Face>> result =
                detector.process(image) // this is where the issue is
                        .addOnSuccessListener(
                                new OnSuccessListener<List<Face>>() {
                                    @Override
                                    public void onSuccess(List<Face> faces) {
                                        // Task completed successfully
                                        // ...
                                    }
                                })
                        .addOnFailureListener(
                                new OnFailureListener() {
                                    @Override
                                    public void onFailure(@NonNull Exception e) {
                                        // Task failed with an exception
                                        // ...
                                    }
                                });

    }
}