Java — EXCEPTION_ACCESS_VIOLATION (0xc0000005) —javaCV

Я разрабатываю приложение, которое реализует модель BOW в javacv.

оригинальный код написано на с ++

Первый класс :

public class BOW {

final String trainingData ="";
final String testData="";

int dictionarySize = 500;

// TermCriteria tc(CV_TERMCRIT_ITER, 10, 0.001);

int retries = 1;

int flags = CV_KMEANS_USE_INITIAL_LABELS;

CvTermCriteria termcrit ;

BOWKMeansTrainer bMeansTrainer ;

BOWImgDescriptorExtractor bDescriptorExtractor;

FeatureDetector featureDetector;

DescriptorExtractor descriptorExtractor;

DescriptorMatcher descriptorMatcher;

public BOWKMeansTrainer getbMeansTrainer() {
return bMeansTrainer;
}public void setbMeansTrainer(BOWKMeansTrainer bMeansTrainer) {
this.bMeansTrainer = bMeansTrainer;
}public BOWImgDescriptorExtractor getbDescriptorExtractor() {
return bDescriptorExtractor;
}public void setbDescriptorExtractor(
BOWImgDescriptorExtractor bDescriptorExtractor) {
this.bDescriptorExtractor = bDescriptorExtractor;
}public FeatureDetector getFeatureDetector() {
return featureDetector;
}public void setFeatureDetector(FeatureDetector featureDetector) {
this.featureDetector = featureDetector;
}public DescriptorExtractor getDescriptorExtractor() {
return descriptorExtractor;
}public void setDescriptorExtractor(DescriptorExtractor descriptorExtractor) {
this.descriptorExtractor = descriptorExtractor;
}public DescriptorMatcher getDescriptorMatcher() {
return descriptorMatcher;
}public void setDescriptorMatcher(DescriptorMatcher descriptorMatcher) {
this.descriptorMatcher = descriptorMatcher;
}public BOW() {
super();
try {
featureDetector = FeatureDetector.create("SIFT");
descriptorExtractor=DescriptorExtractor.create("SIFT");
descriptorMatcher= DescriptorMatcher.create("FlannBased");
termcrit = new CvTermCriteria(CV_TERMCRIT_ITER, 10, 0.001);
bMeansTrainer = new BOWKMeansTrainer(dictionarySize, termcrit , retries, flags);
bDescriptorExtractor = new BOWImgDescriptorExtractor( descriptorExtractor, descriptorMatcher);

} catch (Exception e) {

e.getStackTrace();
}

}public void extractTrainingVocabulary (String  baseurl )
{
File dir = new File(baseurl);

for (File child : dir.listFiles())
{
if (child.isDirectory())
{
System.out.println("Processing directory"+child.getAbsolutePath());

extractTrainingVocabulary(child.getName());
}

else
{
if (child.getName().contains(".jpg"))
{
System.out.println("Processing file" + child.getName());
final CvMat image = cvLoadImageM(child.getName());
if (!image.empty())
{

KeyPoint keypoints = new KeyPoint(); // a verifier
featureDetector.detect(image, keypoints, null);

if (keypoints.isNull())
{
System.out.println("Warning: Could not find key points in image: "+

child.getName()
);
}

else
{
CvMat featurs = new CvMat() ; //
descriptorExtractor.compute(image, keypoints, featurs);bMeansTrainer.add(featurs);
}
}

else
{
System.out.println("Warning: Could not read image: "+ child.getName());
}}
}
}
}

public void extractBOWDescriptor (String baseurl , CvMat descriptors )

{
File dir = new File(baseurl);

for (File child : dir.listFiles())
{
if (child.isDirectory())
{
System.out.println("Processing directory"+child.getAbsolutePath());

extractBOWDescriptor(child.getName(), descriptors);
}else
{
if (child.getName().contains(".jpg"))
{
System.out.println("Processing file" + child.getName());

final CvMat image = cvLoadImageM(child.getName());

if (!image.empty())
{

KeyPoint keypoints = new KeyPoint(); // a verifier
featureDetector.detect(image, keypoints, null);

if (keypoints.isNull())
{
System.out.println("Warning: Could not find key points in image: "+

child.getName()
);
}

else
{
CvMat BoWdescriptors = new CvMat() ; //
bDescriptorExtractor.compute(image, keypoints, BoWdescriptors, null, null);

descriptors.put(descriptors);
//     float label=Float.parseFloat(child.getName());
//  labels.put(label);

}
}

else
{
System.out.println("Warning: Could not read image: "+ child.getName());
}

}
}
}

}

}

Основной класс:

  package pack;public class Main {

/**
* @param args
*/
public static void main(String[] args) {
System.out.println("ppppppp");

String trainingDatapath="bowdemo\\data\\train";
String evalDatapath="bowdemo\\data\\evam";
BOW bow = null;

try {
bow = new BOW();
}

catch (Exception e) {

e.getStackTrace();
}

bow.extractTrainingVocabulary(trainingDatapath);

//   MatVector descriptos = bow.getbMeansTrainer().getDescriptors();

CvMat dictionnary  = bow.getbMeansTrainer().cluster();

bow.getbDescriptorExtractor().setVocabulary(dictionnary);CvMat evalData = new CvMat(bow.dictionarySize);

bow.extractBOWDescriptor(evalDatapath, evalData);}

}

Исключение:

A fatal error has been detected by the Java Runtime Environment:

EXCEPTION_ACCESS_VIOLATION (0xc0000005) at pc=0x7350b1f2, pid=6900, tid=3984

JRE version: Java(TM) SE Runtime Environment (7.0_45-b18) (build 1.7.0_45-b18)
Java VM: Java HotSpot(TM) Client VM (24.45-b08 mixed mode, sharing windows-x86 )
Problematic frame:
C  [MSVCR90.dll+0x3b1f2]

Failed to write core dump. Minidumps are not enabled by default on client versions of Windows

An error report file with more information is saved as:
C:\Users\Desktop\workspaceJAVACV\demo\hs_err_pid6900.log

If you would like to submit a bug report, please visit:
http://bugreport.sun.com/bugreport/crash.jsp
The crash happened outside the Java Virtual Machine in native code.
See problematic frame for where to report the bug.