在Android Studio中使用OpenCV和Tensorflow进行实时情绪检测

implementation 'org.opencv:opencv-android:3.4.3'
implementation 'org.tensorflow:tensorflow-android:1.15.0'

import org.opencv.android.OpenCVLoader;
import org.tensorflow.contrib.android.TensorFlowInferenceInterface;

public class MainActivity extends AppCompatActivity implements CameraBridgeViewBase.CvCameraViewListener2 {
    private CameraBridgeViewBase mOpenCvCameraView;
    private TensorFlowInferenceInterface mInferenceInterface;

    static {
        if (!OpenCVLoader.initDebug()) {
            Log.d("OpenCV", "OpenCV initialization failed");
        }
    }

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

        mOpenCvCameraView = findViewById(R.id.camera_view);
        mOpenCvCameraView.setVisibility(SurfaceView.VISIBLE);
        mOpenCvCameraView.setCvCameraViewListener(this);

        mInferenceInterface = new TensorFlowInferenceInterface(getAssets(), "tensorflow_model.pb");
    }

    @Override
    public void onCameraViewStarted(int width, int height) {
        // 初始化摄像头
    }

    @Override
    public void onCameraViewStopped() {
        // 释放摄像头资源
    }

    @Override
    public Mat onCameraFrame(CameraBridgeViewBase.CvCameraViewFrame inputFrame) {
        // 在这里进行情绪检测的处理
        return null;
    }
}