如何从Android相机中找到框架的轮廓并将其转换为box2d实体？

Question

使用OpenFrameworks,OpenCV和Box2D,我能够以良好的帧速率实现它.使用Android似乎是一项更复杂的任务(部分原因是因为我是JAVA新手).

这就是我的开始:

1. 使用"OpenCV样本 - 图像处理"并删除除"canny"效果之外的所有内容,这样可以生成漂亮的黑白图像,非常适合查找轮廓.

   public Mat onCameraFrame(CvCameraViewFrame inputFrame)
   {
       mRgba = inputFrame.rgba();
       Imgproc.Canny(mRgbaInnerWindow, mIntermediateMat, 50, 100);
       Imgproc.cvtColor(mIntermediateMat, mRgbaInnerWindow, Imgproc.COLOR_GRAY2BGRA, 4);
   
       return mRgba;
   }
   

2. 从"OpenCV Sample - color-blob-detection"中我抓住了在Mat中找到轮廓的逻辑:

   // These two lines are actually in the function onCameraViewStarted
   mHierarchy = new Mat();
   CONTOUR_COLOR = new Scalar(255,0,0,255);
   
   // These lines are in function onCameraFrame
   List<MatOfPoint> contours = new ArrayList<MatOfPoint>();        
   Imgproc.findContours(mRgbaInnerWindow, contours, mHierarchy, Imgproc.RETR_EXTERNAL,     
   Imgproc.CHAIN_APPROX_SIMPLE);
   Imgproc.drawContours(mIntermediateMat, contours, -1, CONTOUR_COLOR);
   

   所以,我当前的函数看起来像这样,它不起作用:

   public Mat onCameraFrame(CvCameraViewFrame inputFrame)
   {
       mRgba = inputFrame.rgba();
   
       if ((mRgbaInnerWindow == null) || (mGrayInnerWindow == null) || (mRgba.cols() != mSizeRgba.width) || (mRgba.height() != mSizeRgba.height))
           CreateAuxiliaryMats();
   
       Imgproc.Canny(mRgbaInnerWindow, mIntermediateMat, 50, 100);
       //Imgproc.cvtColor(mIntermediateMat, mRgbaInnerWindow, Imgproc.COLOR_GRAY2BGRA, 4);
   
       List<MatOfPoint> contours = new ArrayList<MatOfPoint>();
   
       Imgproc.findContours(mRgbaInnerWindow, contours, mHierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_SIMPLE);
       //Imgproc.drawContours(mIntermediateMat, contours, -1, CONTOUR_COLOR);
   
       return mRgba;
   }
   

3. 现在,这就是我被困的地方.我不断得到例外,我认为我没有使用正确的尺寸或将Mat转换为正确的颜色空间.这篇文章有一些见解,但我不知道它是否正确:Android上的OpenCV findContours抛出异常

Answer 1

嗨,我也是openCV的新手,但是这段代码可能有帮助,

import android.app.Activity;
import android.os.Bundle;
import android.util.Log;
import android.view.SurfaceView;
import org.opencv.android.*;
import org.opencv.core.*;
import org.opencv.imgproc.Imgproc;


import java.util.ArrayList;
import java.util.List;

public class MainActivity extends Activity implements CvCameraViewListener2{

private static final String TAG = MainActivity.class.getCanonicalName();

private CameraBridgeViewBase mOpenCvCameraView;

private Mat                    mRgba;
private Mat                    mIntermediateMat;
private Mat                    mGray;
Mat hierarchy;


List<MatOfPoint> contours;

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();
            } break;
            default:
            {
                super.onManagerConnected(status);
            } break;
        }
    }
};

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

    mOpenCvCameraView = (CameraBridgeViewBase) findViewById(R.id.java_surface_view);
    mOpenCvCameraView.setVisibility(SurfaceView.VISIBLE);

    mOpenCvCameraView.setCvCameraViewListener(this);

}

@Override
public void onResume() {
    super.onResume();
    OpenCVLoader.initAsync(OpenCVLoader.OPENCV_VERSION_2_4_3, this,
            mLoaderCallback);
}

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



@Override
public void onCameraViewStarted(int width, int height) {
    mRgba = new Mat(height, width, CvType.CV_8UC4);
    mIntermediateMat = new Mat(height, width, CvType.CV_8UC4);
    mGray = new Mat(height, width, CvType.CV_8UC1);
    hierarchy = new Mat();
}

@Override
public void onCameraViewStopped() {
    mRgba.release();
    mGray.release();
    mIntermediateMat.release();
    hierarchy.release();
}

@Override
public Mat onCameraFrame(CvCameraViewFrame inputFrame) {
     mRgba = inputFrame.gray();
        contours = new ArrayList<MatOfPoint>();
        hierarchy = new Mat();

     Imgproc.Canny(mRgba, mIntermediateMat, 80, 100);
     Imgproc.findContours(mIntermediateMat, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE, new Point(0, 0));
    /* Mat drawing = Mat.zeros( mIntermediateMat.size(), CvType.CV_8UC3 );
     for( int i = 0; i< contours.size(); i++ )
     {
    Scalar color =new Scalar(Math.random()*255, Math.random()*255, Math.random()*255);
     Imgproc.drawContours( drawing, contours, i, color, 2, 8, hierarchy, 0, new Point() );
     }*/
     hierarchy.release();
     Imgproc.drawContours(mRgba, contours, -1, new Scalar(Math.random()*255, Math.random()*255, Math.random()*255));//, 2, 8, hierarchy, 0, new Point());
    // Imgproc.cvtColor(mIntermediateMat, mRgba, Imgproc.COLOR_GRAY2RGBA, 4);
    return mRgba;
}

}

我知道这可能不是实现这一目标的最佳方式,但我们都在这里学习新方法:)