자바 외부 dll 연동하기 opencv

maven version.

 <properties>
 	<webapp.libs>${project.basedir}/src/main/java/com/packagename/external</webapp.libs>
 </properties>

 

 <dependency>
 	<groupId>org.opencv</groupId>
 	<artifactId>external</artifactId>
 	<version>1.0</version>
 	<scope>system</scope>
 	<systemPath>${webapp.libs}/opencv/opencv-3413.jar</systemPath>
 </dependency>

 

대충 위치.

 

 

private void compareFeature(String fileName1, String fileName2){
    int retValue = 0;
    String dllName = System.getProperty("user.dir").concat(File.separatorChar + "butterfly-ui")
            .concat(File.separatorChar + "src").concat(File.separatorChar + "main").concat(File.separatorChar + "java").concat(File.separatorChar + "com")
            .concat(File.separatorChar + "packagename").concat(File.separatorChar + "external").concat(File.separatorChar + "opencv").concat(File.separatorChar + "opencv_java3413.dll");
    System.load(dllName);
    Mat img1 = Imgcodecs.imread(fileName1, Imgcodecs.IMREAD_GRAYSCALE);
    Mat img2 = Imgcodecs.imread(fileName2, Imgcodecs.IMREAD_GRAYSCALE);

    MatOfKeyPoint point1 = new MatOfKeyPoint();
    MatOfKeyPoint point2 = new MatOfKeyPoint();
    Mat descriptors1 = new Mat();
    Mat descriptors2 = new Mat();

    ORB orb = ORB.create(ORB.FAST_SCORE);
    orb.compute(img1, point1, descriptors1);
    orb.compute(img2, point2, descriptors2);

    FeatureDetector detector = FeatureDetector.create(FeatureDetector.ORB);
    detector.detect(img1, point1);
    detector.detect(img2, point2);

    DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.ORB);
    extractor.compute(img1, point1, descriptors1);
    extractor.compute(img2, point2, descriptors2);

    if(descriptors1.cols() == descriptors2.cols()){
      DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE_HAMMING);
      MatOfDMatch matches = new MatOfDMatch();
      matcher.match(descriptors1, descriptors2, matches);

      DMatch[] matchArray = matches.toArray();
      double maxDist = 0;
      double minDist = 100;

      for(int i = 0; i < descriptors1.rows(); i++){
        double dist = matchArray[i].distance;

        if(dist < minDist){
          minDist = dist;
        }

        if(dist > maxDist){
          maxDist = dist;
        }
      }

      for(int i = 0; i < descriptors1.rows(); i++) {
        if(matchArray[i].distance <= 30) {
          retValue++;

        }
        logInfo("count={}", matchArray[i].distance);
      }

      logInfo("max_dist={}, min_dist={} ", maxDist, minDist);
      logInfo("matching count={} ", retValue);
    }
  }

 

인식율이 안 좋아서 결국 구글 2종 + aws 1종을 복합적으로 분석을 만들었지만...

잠시 동안의 OCR을 위한 opencv 사용을 위한 dll 사용법.