org.opencv.core.MatOfByte Java Examples

The following examples show how to use org.opencv.core.MatOfByte. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example #1
Source File: DetectFace.java    From opencv-object-detection with MIT License 6 votes vote down vote up
private static BufferedImage ConvertMat2Image(Mat kameraVerisi) {

	
	MatOfByte byteMatVerisi = new MatOfByte();
	//Ara belle?e verilen formatta g�r�nt� kodlar
	Imgcodecs.imencode(".jpg", kameraVerisi, byteMatVerisi);
	//Mat nesnesinin toArray() metodu elemanlary byte dizisine �evirir
	byte[] byteArray = byteMatVerisi.toArray();
	BufferedImage goruntu = null;
	try {
		InputStream in = new ByteArrayInputStream(byteArray);
		goruntu = ImageIO.read(in);
	} catch (Exception e) {
		e.printStackTrace();
		return null;
	}
	return goruntu;
}
 
Example #2
Source File: Dnn.java    From LicensePlateDiscern with MIT License 5 votes vote down vote up
public static Net readNetFromDarknet(MatOfByte bufferCfg, MatOfByte bufferModel)
{
    Mat bufferCfg_mat = bufferCfg;
    Mat bufferModel_mat = bufferModel;
    Net retVal = new Net(readNetFromDarknet_2(bufferCfg_mat.nativeObj, bufferModel_mat.nativeObj));
    
    return retVal;
}
 
Example #3
Source File: Dnn.java    From pasm-yolov3-Android with GNU General Public License v3.0 5 votes vote down vote up
public static Net readNetFromTensorflow(MatOfByte bufferModel, MatOfByte bufferConfig)
{
    Mat bufferModel_mat = bufferModel;
    Mat bufferConfig_mat = bufferConfig;
    Net retVal = new Net(readNetFromTensorflow_2(bufferModel_mat.nativeObj, bufferConfig_mat.nativeObj));
    
    return retVal;
}
 
Example #4
Source File: Video.java    From Chinese-number-gestures-recognition with BSD 2-Clause "Simplified" License 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_1(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);
    
    return;
}
 
Example #5
Source File: Video.java    From OpenCV-android with Apache License 2.0 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_2(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj);
    
    return;
}
 
Example #6
Source File: Features2d.java    From MOAAP with MIT License 5 votes vote down vote up
public static void drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
{
    Mat keypoints1_mat = keypoints1;
    Mat keypoints2_mat = keypoints2;
    List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
    Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
    List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
    Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
    drawMatchesKnn_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
    
    return;
}
 
Example #7
Source File: Imgcodecs.java    From react-native-documentscanner-android with MIT License 5 votes vote down vote up
public static boolean imencode(String ext, Mat img, MatOfByte buf, MatOfInt params)
{
    Mat buf_mat = buf;
    Mat params_mat = params;
    boolean retVal = imencode_0(ext, img.nativeObj, buf_mat.nativeObj, params_mat.nativeObj);
    
    return retVal;
}
 
Example #8
Source File: Video.java    From OpenCV-android with Apache License 2.0 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_0(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel, criteria.type, criteria.maxCount, criteria.epsilon, flags, minEigThreshold);
    
    return;
}
 
Example #9
Source File: VideoReaderTest.java    From HadoopCV with Apache License 2.0 5 votes vote down vote up
public static void main(String[] args) {
	
	System.out.println(System.getProperty("java.class.path"));
 System.out.println(System.getProperty("java.library.path"));
 
 
	System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
	VideoCapture camera = new VideoCapture("data/bike.avi");
	MatOfByte frame = new MatOfByte();
	int i = 0;
	
 
	while(true){
        if (camera.read(frame)){
            System.out.println("Frame Obtained");
            System.out.println("Captured Frame Width " +
            frame.width() + " Height " + frame.height());
            System.out.println(frame.dump());
            Highgui.imwrite("tmp\\image\\camera"+(i++)+".jpg", frame);
            //Highgui.imencode(ext, img, buf)
        }else{
        	break;
        }
    }
	camera.release();
	
}
 
Example #10
Source File: Video.java    From Camdroid with Apache License 2.0 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_1(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);
    
    return;
}
 
Example #11
Source File: Features2d.java    From SmartPaperScan with Apache License 2.0 5 votes vote down vote up
public static void drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
{
    Mat keypoints1_mat = keypoints1;
    Mat keypoints2_mat = keypoints2;
    List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
    Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
    List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
    Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
    drawMatchesKnn_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
    
    return;
}
 
Example #12
Source File: Video.java    From LicensePlateDiscern with MIT License 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_3(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);
    
    return;
}
 
Example #13
Source File: Imgcodecs.java    From react-native-documentscanner-android with MIT License 5 votes vote down vote up
public static boolean imencode(String ext, Mat img, MatOfByte buf)
{
    Mat buf_mat = buf;
    boolean retVal = imencode_1(ext, img.nativeObj, buf_mat.nativeObj);
    
    return retVal;
}
 
Example #14
Source File: Features2d.java    From pasm-yolov3-Android with GNU General Public License v3.0 5 votes vote down vote up
public static void drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask, int flags)
{
    Mat keypoints1_mat = keypoints1;
    Mat keypoints2_mat = keypoints2;
    Mat matches1to2_mat = matches1to2;
    Mat matchesMask_mat = matchesMask;
    drawMatches_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
    
    return;
}
 
Example #15
Source File: Video.java    From Image-Detection-Samples with Apache License 2.0 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_2(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj);
    
    return;
}
 
Example #16
Source File: Features2d.java    From Form-N-Fun with MIT License 5 votes vote down vote up
public static void drawMatches(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, MatOfDMatch matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, MatOfByte matchesMask, int flags)
{
    Mat keypoints1_mat = keypoints1;
    Mat keypoints2_mat = keypoints2;
    Mat matches1to2_mat = matches1to2;
    Mat matchesMask_mat = matchesMask;
    drawMatches_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
    
    return;
}
 
Example #17
Source File: Video.java    From pasm-yolov3-Android with GNU General Public License v3.0 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_3(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);
    
    return;
}
 
Example #18
Source File: Dnn.java    From LicensePlateDiscern with MIT License 5 votes vote down vote up
public static Net readNetFromCaffe(MatOfByte bufferProto)
{
    Mat bufferProto_mat = bufferProto;
    Net retVal = new Net(readNetFromCaffe_3(bufferProto_mat.nativeObj));
    
    return retVal;
}
 
Example #19
Source File: Dnn.java    From LicensePlateDiscern with MIT License 5 votes vote down vote up
public static Net readNetFromCaffe(MatOfByte bufferProto, MatOfByte bufferModel)
{
    Mat bufferProto_mat = bufferProto;
    Mat bufferModel_mat = bufferModel;
    Net retVal = new Net(readNetFromCaffe_2(bufferProto_mat.nativeObj, bufferModel_mat.nativeObj));
    
    return retVal;
}
 
Example #20
Source File: Video.java    From ml-authentication with Apache License 2.0 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria, int flags, double minEigThreshold)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_0(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel, criteria.type, criteria.maxCount, criteria.epsilon, flags, minEigThreshold);
    
    return;
}
 
Example #21
Source File: Imgcodecs.java    From MOAAP with MIT License 5 votes vote down vote up
public static boolean imencode(String ext, Mat img, MatOfByte buf)
{
    Mat buf_mat = buf;
    boolean retVal = imencode_1(ext, img.nativeObj, buf_mat.nativeObj);
    
    return retVal;
}
 
Example #22
Source File: Video.java    From sudokufx with Apache License 2.0 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_1(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);
    
    return;
}
 
Example #23
Source File: Video.java    From LPR with Apache License 2.0 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel, TermCriteria criteria)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_2(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel, criteria.type, criteria.maxCount, criteria.epsilon);
    
    return;
}
 
Example #24
Source File: Features2d.java    From Chinese-number-gestures-recognition with BSD 2-Clause "Simplified" License 5 votes vote down vote up
public static void drawMatches2(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
{
    Mat keypoints1_mat = keypoints1;
    Mat keypoints2_mat = keypoints2;
    List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
    Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
    List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
    Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
    drawMatches2_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
    
    return;
}
 
Example #25
Source File: Features2d.java    From pasm-yolov3-Android with GNU General Public License v3.0 5 votes vote down vote up
public static void drawMatches2(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
{
    Mat keypoints1_mat = keypoints1;
    Mat keypoints2_mat = keypoints2;
    List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
    Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
    List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
    Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
    drawMatches2_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
    
    return;
}
 
Example #26
Source File: Imgcodecs.java    From Chinese-number-gestures-recognition with BSD 2-Clause "Simplified" License 5 votes vote down vote up
public static boolean imencode(String ext, Mat img, MatOfByte buf)
{
    Mat buf_mat = buf;
    boolean retVal = imencode_1(ext, img.nativeObj, buf_mat.nativeObj);
    
    return retVal;
}
 
Example #27
Source File: Features2d.java    From LPR with Apache License 2.0 5 votes vote down vote up
public static void drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
{
    Mat keypoints1_mat = keypoints1;
    Mat keypoints2_mat = keypoints2;
    List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
    Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
    List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
    Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
    drawMatchesKnn_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
    
    return;
}
 
Example #28
Source File: Imgcodecs.java    From OpenCV-Android-Object-Detection with MIT License 5 votes vote down vote up
public static boolean imencode(String ext, Mat img, MatOfByte buf)
{
    Mat buf_mat = buf;
    boolean retVal = imencode_1(ext, img.nativeObj, buf_mat.nativeObj);
    
    return retVal;
}
 
Example #29
Source File: Features2d.java    From LPR with Apache License 2.0 5 votes vote down vote up
public static void drawMatches2(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor, Scalar singlePointColor, List<MatOfByte> matchesMask, int flags)
{
    Mat keypoints1_mat = keypoints1;
    Mat keypoints2_mat = keypoints2;
    List<Mat> matches1to2_tmplm = new ArrayList<Mat>((matches1to2 != null) ? matches1to2.size() : 0);
    Mat matches1to2_mat = Converters.vector_vector_DMatch_to_Mat(matches1to2, matches1to2_tmplm);
    List<Mat> matchesMask_tmplm = new ArrayList<Mat>((matchesMask != null) ? matchesMask.size() : 0);
    Mat matchesMask_mat = Converters.vector_vector_char_to_Mat(matchesMask, matchesMask_tmplm);
    drawMatches2_0(img1.nativeObj, keypoints1_mat.nativeObj, img2.nativeObj, keypoints2_mat.nativeObj, matches1to2_mat.nativeObj, outImg.nativeObj, matchColor.val[0], matchColor.val[1], matchColor.val[2], matchColor.val[3], singlePointColor.val[0], singlePointColor.val[1], singlePointColor.val[2], singlePointColor.val[3], matchesMask_mat.nativeObj, flags);
    
    return;
}
 
Example #30
Source File: Video.java    From MOAAP with MIT License 5 votes vote down vote up
public static void calcOpticalFlowPyrLK(Mat prevImg, Mat nextImg, MatOfPoint2f prevPts, MatOfPoint2f nextPts, MatOfByte status, MatOfFloat err, Size winSize, int maxLevel)
{
    Mat prevPts_mat = prevPts;
    Mat nextPts_mat = nextPts;
    Mat status_mat = status;
    Mat err_mat = err;
    calcOpticalFlowPyrLK_1(prevImg.nativeObj, nextImg.nativeObj, prevPts_mat.nativeObj, nextPts_mat.nativeObj, status_mat.nativeObj, err_mat.nativeObj, winSize.width, winSize.height, maxLevel);
    
    return;
}