基于hadoopjavacv代码的图像处理(模板匹配)

u1ehiz5o  于 2021-06-03  发布在  Hadoop
关注(0)|答案(1)|浏览(339)

在hadoop上运行模板匹配的javacv代码，但出现以下错误，请帮助

hduser@anuj-laptop:/usr/local/hadoop$ bin/hadoop dfs -rmr /user/hduser/out
Warning: $HADOOP_HOME is deprecated.

Deleted hdfs://master:54310/user/hduser/out
hduser@anuj-laptop:/usr/local/hadoop$ bin/hadoop jar back.jar back /user/hduser/in        /user/hduser/out
Warning: $HADOOP_HOME is deprecated.

12/11/27 19:42:47 WARN mapred.JobClient: Use GenericOptionsParser for parsing the      arguments. Applications should implement Tool for the same.
12/11/27 19:42:47 INFO util.NativeCodeLoader: Loaded the native-hadoop library
12/11/27 19:42:47 WARN snappy.LoadSnappy: Snappy native library not loaded
12/11/27 19:42:47 INFO mapred.FileInputFormat: Total input paths to process : 1
12/11/27 19:42:47 INFO mapred.JobClient: Running job: job_201211271649_0022
12/11/27 19:42:48 INFO mapred.JobClient:  map 0% reduce 0%
12/11/27 19:43:01 INFO mapred.JobClient: Task Id : attempt_201211271649_0022_m_000000_0, Status : FAILED
java.lang.RuntimeException: Error in configuring object
at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:93)
at org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:64)
at org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:117)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:432)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:372)
at org.apache.hadoop.mapred.Child$4.run(Child.java:255)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:396)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1121)
at org.apache.hadoop.mapred.Child.main(Child.java:249)
    Caused by: java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at   sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:88)
... 9 more
    Caused by: java.lang.NoClassDefFoundError: com/googlecode/javacv/cpp/opencv_core$CvArr
at java.lang.Class.forName0(Native Method)
at java.lang.Class.forName(Class.java:247)
at org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:820)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:865)
at org.apache.hadoop.conf.Configuration.getClass(Configuration.java:891)
at org.apache.hadoop.mapred.JobConf.getMapperClass(JobConf.java:947)
at org.apache.hadoop.mapred.MapRunner.configure(MapRunner.java:34)
... 14 more
    Caused by: java.lang.ClassNotFoundException: com.googlecode.javacv.cpp.opencv_core$CvArr
at java.net.URLClassLoader$1.run(URLClassLoader.java:202)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:190)
at java.lang.ClassLoader.loadClass(ClassLoader.java:306)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
at java.lang.ClassLoader.loadClass(ClassLoader.java:247)
... 21 more

    12/11/27 19:43:02 INFO mapred.JobClient: Task Id : attempt_201211271649_0022_m_000001_0, Status : FAILED
    12/11/27 19:43:26 INFO mapred.JobClient: Job complete: job_201211271649_0022
    12/11/27 19:43:26 INFO mapred.JobClient: Counters: 7
    12/11/27 19:43:26 INFO mapred.JobClient:   Job Counters 
    12/11/27 19:43:26 INFO mapred.JobClient:     SLOTS_MILLIS_MAPS=42747
    12/11/27 19:43:26 INFO mapred.JobClient:     Total time spent by all reduces waiting after reserving slots (ms)=0
    12/11/27 19:43:26 INFO mapred.JobClient:     Total time spent by all maps waiting after reserving slots (ms)=0
    12/11/27 19:43:26 INFO mapred.JobClient:     Launched map tasks=8
    12/11/27 19:43:26 INFO mapred.JobClient:     Data-local map tasks=8
    12/11/27 19:43:26 INFO mapred.JobClient:     SLOTS_MILLIS_REDUCES=0
    12/11/27 19:43:26 INFO mapred.JobClient:     Failed map tasks=1
    12/11/27 19:43:26 INFO mapred.JobClient: Job Failed: # of failed Map Tasks exceeded allowed limit. FailedCount: 1. LastFailedTask: task_201211271649_0022_m_000000
    Exception in thread "main" java.io.IOException: Job failed!
at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1265)
at back.main(back.java:192)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at org.apache.hadoop.util.RunJar.main(RunJar.java:156)

我的javacv代码如下：

import static com.googlecode.javacv.cpp.opencv_highgui.*;

  import java.io.File;
  import static com.googlecode.javacv.cpp.opencv_imgproc.*;

  import java.io.File;
  import java.io.IOException;
  import java.util.*;
  import org.apache.hadoop.fs.Path;
  import org.apache.hadoop.conf.*;
  import org.apache.hadoop.io.*;
  import org.apache.hadoop.mapred.*;
  import org.apache.hadoop.util.*;
  import java.awt.image.BufferedImage;
  import java.io.FileInputStream;
  import javax.imageio.ImageIO;
  import com.googlecode.javacv.*;
  import com.googlecode.javacv.cpp.opencv_core.CvPoint;
  import com.googlecode.javacv.cpp.opencv_core.CvSize;
  import com.googlecode.javacv.cpp.opencv_core.IplImage;
  import com.googlecode.javacv.cpp.opencv_imgproc.CvHistogram;

  import static com.googlecode.javacv.cpp.opencv_core.*;

  public class back {

//private static String[] testFiles = new String[] {"my.jpg","my1.jpg"};
 // private static String testFilespath = "/home/student/Desktop/images";
private static String testFilespath ="images";
public static class Map extends MapReduceBase implements Mapper<LongWritable, Text, Text, IntWritable> 
  {
   private Text image = new Text();
   private final static IntWritable one = new IntWritable(1);
   private final static IntWritable zero = new IntWritable(0);
   public void map(LongWritable key, Text value, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException
     {  
        String line = value.toString();
     // for (String identifier : testFiles)
     //  {
    //  FileInputStream fis=new FileInputStream(testFilespath+"/"+"my.jpg");
 //Document doc = builder.createDocument(fis, identifier);
    //FileInputStream imageStream = new FileInputStream(testFilespath + "/" + identifier);
        //BufferedImage bimg = ImageIO.read(fis);
        String f=testFilespath+"/"+line;
        IplImage src_img = cvLoadImage (f, CV_LOAD_IMAGE_COLOR);
        f=testFilespath+"/"+"my1.jpg";
        IplImage tmp_img = cvLoadImage (f, CV_LOAD_IMAGE_COLOR);
        IplImage src_planes[]={null,null,null};
        IplImage src_hsv,tmp_hsv,dst_img;
        CvHistogram hist;
        int i, hist_size[] = {90};
      float h_ranges[] = { 0, 180 };
      float ranges[][] = { h_ranges };
      CvSize dst_size;
      CvPoint min_loc=new CvPoint();
      CvPoint max_loc=new CvPoint();
      //0,src_planes1,src_planes2;
        IplImage tmp_planes[]={null,null,null};
        for (i = 0; i < 3; i++) {
            src_planes[i]=cvCreateImage(cvGetSize (src_img), IPL_DEPTH_8U, 1);
            tmp_planes[i] = cvCreateImage (cvGetSize (tmp_img), IPL_DEPTH_8U, 1);
         //   src_planes1=cvCreateImage(cvGetSize (src_img), IPL_DEPTH_8U, 1);
          //  tmp_planes1 = cvCreateImage (cvGetSize (tmp_img), IPL_DEPTH_8U, 1);
           // src_planes2=cvCreateImage(cvGetSize (src_img), IPL_DEPTH_8U, 1);
          //  tmp_planes2 = cvCreateImage (cvGetSize (tmp_img), IPL_DEPTH_8U, 1);
          //cout<<"I"; 
            }
        src_hsv= cvCreateImage (cvGetSize (src_img), IPL_DEPTH_8U, 3);
      tmp_hsv = cvCreateImage (cvGetSize (tmp_img), IPL_DEPTH_8U, 3);
    //            CanvasFrame canvas1 = new CanvasFrame("sreeeee");
    //  canvas1.showImage(src_hsv);
      cvCvtColor (src_img, src_hsv, CV_BGR2HSV);
      cvCvtColor (tmp_img, tmp_hsv, CV_BGR2HSV);
    //  CanvasFrame canvas2 = new CanvasFrame("sczx");
    //  canvas2.showImage(src_hsv);
      cvSplit(src_hsv, src_planes[0], src_planes[1], src_planes[2], null);
      cvSplit(tmp_hsv, tmp_planes[0], tmp_planes[1], tmp_planes[2], null);
      //   f=testFilespath+"/"+"my1.jpg";
      //  IplImage tmp_img = cvLoadImage (f, CV_LOAD_IMAGE_COLOR);
 //     CanvasFrame canvas2 = new CanvasFrame("pix");
 //   canvas2.showImage(src_hsv);
  hist = cvCreateHist (1, hist_size, CV_HIST_ARRAY, ranges, 1);

 // IplImage.PointerByReference planesPointer = new IplImage.PointerByReference(tmp_planes);
  cvCalcHist(tmp_planes, hist, 0, null);
  // (5)探索画像全体に対して，テンプレートのヒストグラムとの距離（手法に依存）を計算します． 
  dst_size =
    cvSize (src_img.width() - tmp_img.width() + 1,
            src_img.height() - tmp_img.height() + 1);
  int n=src_img.width() - tmp_img.width() + 1;
  int g=src_img.height() - tmp_img.height() + 1;
//  System.out.println("dfsd"+n+"dfgdfgdf"+g);
  //- tmp_img.width() + 1);

 image.set(line);
 int flag=0;
  if(n>0 && g>0)
  {dst_img = cvCreateImage (dst_size, IPL_DEPTH_32F, 1);
//  CanvasFrame canvasr = new CanvasFrame("klkhj");
//  canvasr.showImage(dst_img);

  cvCalcBackProjectPatch (src_planes, dst_img, cvGetSize (tmp_img), hist,
                          CV_COMP_CORREL, 1.0);
 // CanvasFrame canvas3 = new CanvasFrame("pixkjhkjh");
 // canvas3.showImage(src_hsv);
  double[] min_val={0};
  double[] max_val={0};
//  min_loc.x()=10;

cvMinMaxLoc(dst_img, min_val, max_val, min_loc, max_loc, null);
  //    System.out.println("vxcvxc "+min_val[0]+"   "+max_val[0]);
  //    System.out.println("vxcvxc "+max_loc.x()+"   "+max_loc.y());
  //    System.out.println("vxcvxc "+min_loc.x()+"   "+min_loc.y());

***strong text***//   System.out.println("vxcvxc "+tmp_img.width()+"   "+tmp_img.height());

// (6)テンプレートに対応する位置に矩形を描画します． 

if(max_loc.x() !=0 && max_loc.y() !=0)
  { cvRectangle (src_img, max_loc,
               cvPoint (max_loc.x() + tmp_img.width(),
                        max_loc.y() + tmp_img.height()), CV_RGB (255, 0, 0), 3, 8, 0);
    flag=1;
  }
 // cvNamedWindow ("src", CV_WINDOW_AUTOSIZE);
 // cvNamedWindow ("dst", CV_WINDOW_AUTOSIZE);
   //     CanvasFrame canvas4 = new CanvasFrame("sad");
//  canvas4.showImage(src_img);
  //CanvasFrame canvas5 = new CanvasFrame("lkj");
  //canvas5.showImage(dst_img);
  //CanvasFrame canvas6 = new CanvasFrame("jkl");
  //canvas6.showImage(src_hsv);
//  cvWaitKey(0);

//  cvDestroyWindow("Image");

  cvReleaseImage(dst_img);
  cvReleaseImage(tmp_img);
  cvReleaseImage(src_hsv);
  cvReleaseImage(tmp_hsv);
  for(i=0; i<3; i++) {
    cvReleaseImage(src_planes[i]);
    cvReleaseImage(tmp_planes[i]);
//    cvReleaseImage(src_planes1);
//    cvReleaseImage(tmp_planes1);
//    cvReleaseImage(src_planes2);
//    cvReleaseImage(tmp_planes2);
  }

  }
  if(flag==1)
   {
    output.collect(image,one);
    line = "/user/hduser/output/"+line;
    cvSaveImage(line, src_img);
    cvReleaseImage(src_img);
   }
  else
   output.collect(image,zero);

  //System.out.println("key value pair   "+line);
      // }
     }
  }

public static class Reduce extends MapReduceBase implements Reducer<Text, IntWritable, Text, IntWritable> {
     public void reduce(Text key, Iterator<IntWritable> values, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException {
       int sum = 0;
       while (values.hasNext()) {
         sum += values.next().get();
        // System.out.println("jkgj"+key+"nbnbmnbmnb"+sum+"jghgjhgjhg");
       }
       output.collect(key, new IntWritable(sum));
     }
   }

   public static void main(String[] args) throws Exception {
     JobConf conf = new JobConf(back.class);
     conf.setJobName("back");

     conf.setOutputKeyClass(Text.class);
     conf.setOutputValueClass(IntWritable.class);

     conf.setMapperClass(Map.class);
     conf.setCombinerClass(Reduce.class);
     conf.setReducerClass(Reduce.class);

     conf.setInputFormat(TextInputFormat.class);
     conf.setOutputFormat(TextOutputFormat.class);

     FileInputFormat.setInputPaths(conf, new Path(args[0]));
     FileOutputFormat.setOutputPath(conf, new Path(args[1]));

     JobClient.runJob(conf);
   }

}
Javahadoopopencv

1条答案

按热度按时间
mqxuamgl

mqxuamgl1#

您遇到的错误看起来像您的jar文件没有包含所有必需的依赖项——特别是opencvjar。有两种方法可以解决此错误：
将所需的jar放入分布式缓存（请参见在mymap reduce作业中包含第三方库（使用分布式缓存））
创建一个包含所有依赖项的jar。第二种方法很容易用maven实现。maven还将帮助您解决所有依赖性问题，然后再让您做任何事情。这通常被错误地理解为maven而不是“仅仅工作”。问题是，如果maven不“只是工作”，那么你的环境中有一些你不了解的复杂性，这将在以后给你带来问题。

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