hadoop javacv代码上的图像处理(模板匹配)
在hadoop上运行模板匹配的javacv代码,但出现以下错误,请提供帮助hadoop javacv代码上的图像处理(模板匹配),java,opencv,hadoop,Java,Opencv,Hadoop,在hadoop上运行模板匹配的javacv代码,但出现以下错误,请提供帮助 hduser@anuj-笔记本电脑:/usr/local/hadoop$bin/hadoop dfs-rmr/user/hduser/out 警告:$HADOOP\u HOME已弃用。 删除hdfs://master:54310/user/hduser/out hduser@anuj-笔记本电脑:/usr/local/hadoop$bin/hadoop jar back.jar back/user/hduser/in/u
hduser@anuj-笔记本电脑:/usr/local/hadoop$bin/hadoop dfs-rmr/user/hduser/out
警告:$HADOOP\u HOME已弃用。
删除hdfs://master:54310/user/hduser/out
hduser@anuj-笔记本电脑:/usr/local/hadoop$bin/hadoop jar back.jar back/user/hduser/in/user/hduser/out
警告:$HADOOP\u HOME已弃用。
12/11/27 19:42:47 WARN mapred.JobClient:使用GenericOptionsParser解析参数。应用程序应该为相同的应用程序实现工具。
12/11/27 19:42:47 INFO util.NativeCodeLoader:加载了本机hadoop库
12/11/27 19:42:47警告snappy.LoadSnappy:snappy本机库未加载
12/11/27 19:42:47信息映射。文件输入格式:要处理的总输入路径:1
12/11/27 19:42:47 INFO mapred.JobClient:正在运行的作业:job_201211271649_0022
12/11/27 19:42:48信息映射。作业客户端:映射0%减少0%
12/11/27 19:43:01 INFO mapred.JobClient:任务Id:尝试\u 201211271649\u 0022\u m\u000000\u 0,状态:失败
java.lang.RuntimeException:配置对象时出错
位于org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:93)
位于org.apache.hadoop.util.ReflectionUtils.setConf(ReflectionUtils.java:64)
位于org.apache.hadoop.util.ReflectionUtils.newInstance(ReflectionUtils.java:117)
位于org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:432)
位于org.apache.hadoop.mapred.MapTask.run(MapTask.java:372)
位于org.apache.hadoop.mapred.Child$4.run(Child.java:255)
位于java.security.AccessController.doPrivileged(本机方法)
位于javax.security.auth.Subject.doAs(Subject.java:396)
位于org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1121)
位于org.apache.hadoop.mapred.Child.main(Child.java:249)
原因:java.lang.reflect.InvocationTargetException
在sun.reflect.NativeMethodAccessorImpl.invoke0(本机方法)处
位于sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
在sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)中
位于java.lang.reflect.Method.invoke(Method.java:597)
位于org.apache.hadoop.util.ReflectionUtils.setJobConf(ReflectionUtils.java:88)
... 9更多
原因:java.lang.NoClassDefFoundError:com/googlecode/javacv/cpp/opencv_core$CvArr
位于java.lang.Class.forName0(本机方法)
位于java.lang.Class.forName(Class.java:247)
位于org.apache.hadoop.conf.Configuration.getClassByName(Configuration.java:820)
位于org.apache.hadoop.conf.Configuration.getClass(Configuration.java:865)
位于org.apache.hadoop.conf.Configuration.getClass(Configuration.java:891)
位于org.apache.hadoop.mapred.JobConf.getMapperClass(JobConf.java:947)
位于org.apache.hadoop.mapred.MapRunner.configure(MapRunner.java:34)
... 14多
原因:java.lang.ClassNotFoundException:com.googlecode.javacv.cpp.opencv_core$CvArr
位于java.net.URLClassLoader$1.run(URLClassLoader.java:202)
位于java.security.AccessController.doPrivileged(本机方法)
位于java.net.URLClassLoader.findClass(URLClassLoader.java:190)
位于java.lang.ClassLoader.loadClass(ClassLoader.java:306)
位于sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:301)
位于java.lang.ClassLoader.loadClass(ClassLoader.java:247)
... 还有21个
12/11/27 19:43:02 INFO mapred.JobClient:任务Id:尝试\u 201211271649\u 0022\u m\u000001\u 0,状态:失败
12/11/27 19:43:26信息映射。作业客户端:作业完成:作业\u 201211271649\u 0022
12/11/27 19:43:26信息映射。作业客户端:计数器:7
12/11/27 19:43:26信息映射。作业客户端:作业计数器
12/11/27 19:43:26 INFO mapred.JobClient:SLOTS\u MILLIS\u MAPS=42747
12/11/27 19:43:26 INFO mapred.JobClient:all reduces在保留插槽后等待的总时间(毫秒)=0
12/11/27 19:43:26 INFO mapred.JobClient:所有地图在保留插槽后等待的总时间(毫秒)=0
12/11/27 19:43:26信息映射。作业客户端:已启动的映射任务=8
12/11/27 19:43:26信息映射。作业客户端:数据本地映射任务=8
12/11/27 19:43:26 INFO mapred.JobClient:SLOTS\u MILLIS\u REDUCES=0
12/11/27 19:43:26信息映射。作业客户端:失败的映射任务=1
12/11/27 19:43:26信息映射。JobClient:作业失败:#个失败的映射任务超出了允许的限制。失败计数:1。上次失败的任务:任务\u 201211271649\u 0022\u m\u000000
线程“main”java.io.IOException中出现异常:作业失败!
位于org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1265)
main(back.java:192)
在sun.reflect.NativeMethodAccessorImpl.invoke0(本机方法)处
位于sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
在sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)中
位于java.lang.reflect.Method.invoke(Method.java:597)
位于org.apache.hadoop.util.RunJar.main(RunJar.java:156)
我的javacv代码如下所示:
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);
}
}
import static com.googlecode.javacv.cpp.opencv\u highgui.*;
导入java.io.File;
导入静态com.googlecode.javacv.cpp.opencv_imgproc.*;
导入java.io.File;
导入java.io.IOException;
导入java.util.*;
导入org.apache.hadoop.fs.Path;
导入org.apache.hadoop.conf.*;
导入org.apache.hadoop.io.*;
导入org.apache.hadoop.mapred.*;
导入org.apache.hadoop.util.*;
导入java.awt.image.buffereImage;
导入java.io.FileInputStream;
导入javax.imageio.imageio;
导入com.googlecode.javacv.*;
导入com.googlecode.javacv.cpp.opencv_core.CvPoint;
导入com.googlecode.javacv.cpp.opencv_core.CvSize;
导入com.googlecode.javacv.cpp.opencv_core.IplImage;
导入com.googlecode.javacv.cpp.opencv_imgproc.CvHistogram;
导入静态com.googlecode.javacv.cpp.opencv_core.*;
公务舱{
//私有静态字符串[]testFiles=新字符串[]{“my.jpg”,“my1.jpg”};
//私有静态字符串testFilespath=“/home/student/Desktop/images”;
私有静态字符串testFilespath=“images”;
公共静态类映射扩展MapReduceBase实现映射器
{
私人特克斯