Question

我一直在关注Android上使用OpenCV 3.1.0跟踪圆形/椭圆形对象的教程，我需要一些代码优化方面的帮助并提高识别准确性。目前，代码尝试查找每个帧中的所有圆圈并在其周围绘制轮廓。由于我是OpenCV的新手，我希望有人可以帮我解决以下问题：

- 当相机识别出圆形物体并绘制轮廓时，帧速率降至1-2fps。否则，帧率是不错的。如何优化我的代码来解决这个问题？

- 我想跟踪一个非常特殊的对象，这个对象也恰好是一个不完美的圆圈。那个，我的意思是圆周围有微小的凹痕。此外，如果可能，我希望能够从侧面跟踪对象（对象是圆柱形），这意味着绘图圆（顶视图）和绘制椭圆/矩形（圆角/侧视图）之间的平滑过渡。

- 我得到了许多误报以及对其他圆形物体的识别。我已经考虑过根据我想要跟踪的对象（白色）的特定颜色对帧进行阈值处理，但我不确定如何实现它。

public class MainActivity extends Activity implements CvCameraViewListener2 {
private static final String TAG = "OCVSample::Activity";

private CameraBridgeViewBase mOpenCvCameraView;
private boolean              mIsJavaCamera = true;
private MenuItem             mItemSwitchCamera = null;

private BaseLoaderCallback mLoaderCallback = new BaseLoaderCallback(this) {
    @Override
    public void onManagerConnected(int status) {
        switch (status) {
            case LoaderCallbackInterface.SUCCESS:
            {
                Log.i(TAG, "OpenCV loaded successfully");
                mOpenCvCameraView.enableView();
                mOpenCvCameraView.setMaxFrameSize(640,480);
            } break;
            default:
            {
                super.onManagerConnected(status);
            } break;
        }
    }
};

public MainActivity() {
    Log.i(TAG, "Instantiated new " + this.getClass());
}

/** Called when the activity is first created. */
@Override
public void onCreate(Bundle savedInstanceState) {
    Log.i(TAG, "called onCreate");
    super.onCreate(savedInstanceState);
    getWindow().addFlags(WindowManager.LayoutParams.FLAG_KEEP_SCREEN_ON);

    setContentView(R.layout.activity_main);

    mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.activity_main);

    mOpenCvCameraView.setVisibility(SurfaceView.VISIBLE);

    mOpenCvCameraView.setCvCameraViewListener(this);
}

@Override
public void onPause()
{
    super.onPause();
    if (mOpenCvCameraView != null)
        mOpenCvCameraView.disableView();
}

@Override
public void onResume()
{
    super.onResume();
    if (!OpenCVLoader.initDebug()) {
        Log.d(TAG, "Internal OpenCV library not found. Using OpenCV Manager for initialization");
        OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_3_0_0, this, mLoaderCallback);
    } else {
        Log.d(TAG, "OpenCV library found inside package. Using it!");
        mLoaderCallback.onManagerConnected(LoaderCallbackInterface.SUCCESS);
    }
}

public void onDestroy() {
    super.onDestroy();
    if (mOpenCvCameraView != null)
        mOpenCvCameraView.disableView();
}

public void onCameraViewStarted(int width, int height) {
}

public void onCameraViewStopped() {
}

public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
    Mat rgba = inputFrame.rgba();
    Core.flip(rgba, rgba, 1);
    Mat greyMat = new Mat(); 
    Imgproc.cvtColor(rgba, greyMat,Imgproc.COLOR_RGBA2GRAY , 0);
    Imgproc.GaussianBlur(greyMat, greyMat, new Size(9, 9), 2,2);
    double dp = 1.2d;
    double minDist = 100; 
    int minRadius = 0;
    int maxRadius = 0; 
    double param1 = 70, param2 = 72;
    Mat circles = new Mat();

    Imgproc.HoughCircles(greyMat, circles, Imgproc.HOUGH_GRADIENT, dp, minDist, param1, param2, minRadius, maxRadius);
    int numCircles = (circles.rows()==0) ? 0: circles.cols();
    for (int i = 0; i < numCircles; i++) {
        double[] circleCoordinates = circles.get(0, i);
        int x = (int) circleCoordinates[0], y = (int)circleCoordinates[1];
        Point center = new Point(x,y);
        int radius = (int) circleCoordinates[2];
        Imgproc.circle(rgba, center, radius, new Scalar(0, 255, 0), 4);
    }

    return rgba; 
}

}

使用OpenCV for Android进行循环对象跟踪：帧率下降，误报

0 个答案: