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我想在android中的多个模板匹配。我写了一段代码，但在此代码中，当我尝试使用“Utils”转换matToBitmap时。它说Utils不能重新解决。我添加了JRE系统库。导入很多包，但没有解决这个问题。这里是我的代码：Utils无法解析在Android Opencv
package com.example.tryapp;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.Core.MinMaxLocResult;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import android.app.Activity;
import android.graphics.Bitmap;
import android.support.v7.app.ActionBarActivity;
import android.widget.ImageView;
[I imported all of this package one by one but none of this work][1]
public class tmpmatch extends Activity{
static void match()
{
int match_method=Imgproc.TM_CCOEFF;
String img ="res/drawable/lena.png";
String tm1img ="res/drawable/those_eyes.png";
String tm2img ="res/drawable/eye2.png";
String outFile="res/drawable/tmp.png";
Mat mimg=Imgcodecs.imread(img);
Mat mtm1img=Imgcodecs.imread(tm1img);
Mat mtm2img=Imgcodecs.imread(tm2img);
int result_cols = mimg.cols() - mtm1img.cols() + 1;
int result_rows = mimg.rows() - mtm1img.rows() + 1;
int result_cols2 = mimg.cols() - mtm2img.cols() + 1;
int result_rows2 = mimg.rows() - mtm2img.rows() + 1;
Mat result = new Mat(result_rows, result_cols, CvType.CV_32FC1);
Mat result2 = new Mat(result_rows2, result_cols2, CvType.CV_32FC1);
Imgproc.matchTemplate(mimg, mtm1img, result,Imgproc.TM_CCOEFF);
Core.normalize(result, result, 0, 1, Core.NORM_MINMAX, -1, new Mat());
Imgproc.matchTemplate(mimg, mtm2img, result2, Imgproc.TM_CCOEFF);
Core.normalize(result2, result2, 0, 1, Core.NORM_MINMAX, -1, new Mat());
MinMaxLocResult mmr = Core.minMaxLoc(result);
MinMaxLocResult mmr2 = Core.minMaxLoc(result2);
Point matchLoc,matchLoc2;
if (match_method == Imgproc.TM_SQDIFF || match_method == Imgproc.TM_SQDIFF_NORMED) {
matchLoc = mmr.minLoc;
matchLoc2 = mmr2.minLoc;
} else {
matchLoc = mmr.maxLoc;
matchLoc2 = mmr2.maxLoc;
}
///Show me what you got
Imgproc.rectangle(mimg, matchLoc, new Point(matchLoc.x + mtm1img.cols(),
matchLoc.y + mtm1img.rows()), new Scalar(0, 255, 0));
Imgproc.rectangle(mimg, matchLoc2, new Point(matchLoc2.x + mtm2img.cols(),
matchLoc2.y + mtm2img.rows()), new Scalar(0, 255, 0));
// Save the visualized detection.
//System.out.println("Writing "+ outFile);
//Imgcodecs.imwrite(outFile, mimg);
//System.out.println("written");
Mat android_image = Mat.zeros(mimg.cols(), mimg.rows(), CvType.CV_8UC1);
Imgproc.cvtColor(mimg, android_image, Imgproc.COLOR_BGR2RGB);
Bitmap bm = Bitmap.createBitmap(android_image.cols(),android_image.rows(), Bitmap.Config.ARGB_8888);
Utils.matToBitmap(android_image, bm);
ImageView iv = (ImageView) findViewById(R.id.image);
iv.setImageBitmap(bm);
}
public static void main(String[] args) {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
match();
}
}
请帮我看看我卡在这里。我正在使用opencv 3.00 – user2215160