在官方资源上没有找到信息......有很多关于如何使用 Camera API 的示例，但是如何使用 Camera2API 的任何东西......在 Stake 上的一些讨论和所有......那里是一个类似的问题，但我有一个问题没有解决。 ..

链接到同一问题: Android camera2 face recognition

我以Google's API for Camera 2为例.

这就是我所做的，但我没有检测到人脸:

我添加了事件

    private void createCameraPreviewSession() {
    try {
        SurfaceTexture texture = mTextureView.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);

        // We set up a CaptureRequest.Builder with the output Surface.
        mPreviewRequestBuilder
                = mCameraDevice.createCaptureRequest(CameraDevice.TEMPLATE_PREVIEW);
        mPreviewRequestBuilder.addTarget(surface);

        // Here, we create a CameraCaptureSession for camera preview.
        mCameraDevice.createCaptureSession(Arrays.asList(surface, mImageReader.getSurface()),
                new CameraCaptureSession.StateCallback() {

                    @Override
                    public void onConfigured(@NonNull CameraCaptureSession cameraCaptureSession) {
                        // The camera is already closed
                        if (null == mCameraDevice) {
                            return;
                        }

                        // When the session is ready, we start displaying the preview.
                        mCaptureSession = cameraCaptureSession;
                        try {



//           ---->>         Установка модуля распознания лица
                            mPreviewRequestBuilder.set(CaptureRequest.STATISTICS_FACE_DETECT_MODE,
                                    CameraMetadata.STATISTICS_FACE_DETECT_MODE_FULL);



                            // Auto focus should be continuous for camera preview.
                            mPreviewRequestBuilder.set(CaptureRequest.CONTROL_AF_MODE,
                                    CaptureRequest.CONTROL_AF_MODE_CONTINUOUS_PICTURE);

                            // Flash is automatically enabled when necessary.
                            setAutoFlash(mPreviewRequestBuilder);

                            // Finally, we start displaying the camera preview.
                            mPreviewRequest = mPreviewRequestBuilder.build();

                            mCaptureSession.setRepeatingRequest(mPreviewRequest,
                                    mCaptureCallback, mBackgroundHandler);
                        } catch (CameraAccessException e) {
                            e.printStackTrace();
                        }
                    }

                    @Override
                    public void onConfigureFailed(
                            @NonNull CameraCaptureSession cameraCaptureSession) {
                        System.out.println("Failed строка 757");
                    }
                }, null
        );
    } catch (CameraAccessException e) {
        e.printStackTrace();
    }
}

private CameraCaptureSession.CaptureCallback mCaptureCallback
        = new CameraCaptureSession.CaptureCallback() {

    @Override
    public void onCaptureProgressed(@NonNull CameraCaptureSession session,
                                    @NonNull CaptureRequest request,
                                    @NonNull CaptureResult partialResult) {
        process(partialResult);
    }

    @Override
    public void onCaptureCompleted(@NonNull CameraCaptureSession session,
                                   @NonNull CaptureRequest request,
                                   @NonNull TotalCaptureResult result) {
        process(result);
    }

    private void process(CaptureResult result) {


--->   //здесь проверяю получает ли он массив лиц или нет + непонятный мод
        Integer mode = result.get(CaptureResult.STATISTICS_FACE_DETECT_MODE);
        Face[] faces = result.get(CaptureResult.STATISTICS_FACES);
        if(faces != null && mode != null)
            System.out.println("tagDDDDDDDDDDDDDDDDDDDDDDDD" + "faces : " +
                    faces.length + " , mode : " + mode);

        switch (mState) {
            case STATE_PREVIEW: {
                // We have nothing to do when the camera preview is working normally.

//                  Here i set Face Detection
                mPreviewRequestBuilder.set(CaptureRequest.STATISTICS_FACE_DETECT_MODE,
                        CameraMetadata.STATISTICS_FACE_DETECT_MODE_FULL);
                break;
            }

这里我正在检查相机可以拍摄的最大人脸数

    private void setUpCameraOutputs(int width, int height) {

    CameraManager manager = (CameraManager) getSystemService(Context.CAMERA_SERVICE);
    try {
        for (String cameraId : manager.getCameraIdList()) {
            CameraCharacteristics characteristics
                    = manager.getCameraCharacteristics(cameraId);

            // We don't use a front facing camera in this sample.
            Integer facing = characteristics.get(CameraCharacteristics.LENS_FACING);
            if (facing != null && facing == CameraCharacteristics.LENS_FACING_FRONT) {
                continue;
            }

            max_count = characteristics.get(
                    CameraCharacteristics.STATISTICS_INFO_MAX_FACE_COUNT);
            modes = characteristics.get(
                    CameraCharacteristics.STATISTICS_INFO_AVAILABLE_FACE_DETECT_MODES);

            System.out.println("!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! max_count " + max_count + " modes " + modes);

** 输出是:**

I/System.out: !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! max_count 16 modes [I@3e2907e8

** 这是日志打印的内容 **

    03-08 18:34:07.018 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.048 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.078 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.118 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.148 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.178 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.218 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.258 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.288 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.308 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1
03-08 18:34:07.348 7405-7438/com.example.android.camera2basic I/System.out: tagDDDDDDDDDDDDDDDDDDDDDDDDfaces : 0 , mode : 1

为什么不是reterning face？如果有人有正确的工作示例，请提供一个链接。我如何使用 camera2API 进行人脸检测。整整一周，我无法理解((

最佳答案

在 play services 8.3 中，Google 引入了 Mobile Vision API。它包括一个易于使用的 API，称为 Face API，可检测图像和视频中的人脸。不要将其与人脸识别混淆，因为人脸 API 目前仅支持检测。

检测人脸

When the API detects a human face, it is returned as a Face object. The Face object provides the spatial data for the face so you can, for example, draw bounding rectangles around a face, or, if you use landmarks on the face, you can add features to the face in the correct place, such as giving a person a new hat.

它还带有很酷的方法，例如用户是否在微笑 :) 或者他在眨眼 ;) 等等。

查看文档和引用以了解更多信息。

1. Mobile Vision: Find objects in photos and video, using real-time on-device vision technology.
2. Face API- Google Developers
3. Mobile Vision- Youtube
4. Android developers- Face detection API

希望这有帮助:)

关于java - 谁有资料如何使用人脸检测相机 2 API？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/35877936/