org.opencv.core.Mat Java Examples
The following examples show how to use
org.opencv.core.Mat.
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Example #1
Source File: Converters.java From MOAAP with MIT License | 6 votes |
public static void Mat_to_vector_Mat(Mat m, List<Mat> mats) { if (mats == null) throw new java.lang.IllegalArgumentException("mats == null"); int count = m.rows(); if (CvType.CV_32SC2 != m.type() || m.cols() != 1) throw new java.lang.IllegalArgumentException( "CvType.CV_32SC2 != m.type() || m.cols()!=1\n" + m); mats.clear(); int[] buff = new int[count * 2]; m.get(0, 0, buff); for (int i = 0; i < count; i++) { long addr = (((long) buff[i * 2]) << 32) | (((long) buff[i * 2 + 1]) & 0xffffffffL); mats.add(new Mat(addr)); } }
Example #2
Source File: Converters.java From MOAAP with MIT License | 6 votes |
public static void Mat_to_vector_KeyPoint(Mat m, List<KeyPoint> kps) { if (kps == null) throw new java.lang.IllegalArgumentException("Output List can't be null"); int count = m.rows(); if (CvType.CV_64FC(7) != m.type() || m.cols() != 1) throw new java.lang.IllegalArgumentException( "CvType.CV_64FC(7) != m.type() || m.cols()!=1\n" + m); kps.clear(); double[] buff = new double[7 * count]; m.get(0, 0, buff); for (int i = 0; i < count; i++) { kps.add(new KeyPoint((float) buff[7 * i], (float) buff[7 * i + 1], (float) buff[7 * i + 2], (float) buff[7 * i + 3], (float) buff[7 * i + 4], (int) buff[7 * i + 5], (int) buff[7 * i + 6])); } }
Example #3
Source File: Converters.java From sudokufx with Apache License 2.0 | 6 votes |
public static void Mat_to_vector_vector_KeyPoint(Mat m, List<MatOfKeyPoint> kps) { if (kps == null) throw new IllegalArgumentException("Output List can't be null"); if (m == null) throw new IllegalArgumentException("Input Mat can't be null"); List<Mat> mats = new ArrayList<Mat>(m.rows()); Mat_to_vector_Mat(m, mats); for (Mat mi : mats) { MatOfKeyPoint vkp = new MatOfKeyPoint(mi); kps.add(vkp); mi.release(); } mats.clear(); }
Example #4
Source File: Photo.java From PixaToon with GNU General Public License v3.0 | 5 votes |
public static void fastNlMeansDenoising(Mat src, Mat dst, MatOfFloat h, int templateWindowSize, int searchWindowSize, int normType) { Mat h_mat = h; fastNlMeansDenoising_0(src.nativeObj, dst.nativeObj, h_mat.nativeObj, templateWindowSize, searchWindowSize, normType); return; }
Example #5
Source File: HOGDescriptor.java From FaceDetectDemo with Apache License 2.0 | 5 votes |
public void detectMultiScale(Mat img, MatOfRect foundLocations, MatOfDouble foundWeights) { Mat foundLocations_mat = foundLocations; Mat foundWeights_mat = foundWeights; detectMultiScale_1(nativeObj, img.nativeObj, foundLocations_mat.nativeObj, foundWeights_mat.nativeObj); return; }
Example #6
Source File: Converters.java From SmartPaperScan with Apache License 2.0 | 5 votes |
public static void Mat_to_vector_float(Mat m, List<Float> fs) { if (fs == null) throw new java.lang.IllegalArgumentException("fs == null"); int count = m.rows(); if (CvType.CV_32FC1 != m.type() || m.cols() != 1) throw new java.lang.IllegalArgumentException( "CvType.CV_32FC1 != m.type() || m.cols()!=1\n" + m); fs.clear(); float[] buff = new float[count]; m.get(0, 0, buff); for (int i = 0; i < count; i++) { fs.add(buff[i]); } }
Example #7
Source File: Converters.java From faceswap with Apache License 2.0 | 5 votes |
public static void Mat_to_vector_float(Mat m, List<Float> fs) { if (fs == null) throw new java.lang.IllegalArgumentException("fs == null"); int count = m.rows(); if (CvType.CV_32FC1 != m.type() || m.cols() != 1) throw new java.lang.IllegalArgumentException( "CvType.CV_32FC1 != m.type() || m.cols()!=1\n" + m); fs.clear(); float[] buff = new float[count]; m.get(0, 0, buff); for (int i = 0; i < count; i++) { fs.add(buff[i]); } }
Example #8
Source File: AlignMTB.java From MOAAP with MIT License | 5 votes |
public void process(List<Mat> src, List<Mat> dst, Mat times, Mat response) { Mat src_mat = Converters.vector_Mat_to_Mat(src); Mat dst_mat = Converters.vector_Mat_to_Mat(dst); process_0(nativeObj, src_mat.nativeObj, dst_mat.nativeObj, times.nativeObj, response.nativeObj); return; }
Example #9
Source File: Net.java From pasm-yolov3-Android with GNU General Public License v3.0 | 5 votes |
public void forward(List<Mat> outputBlobs, List<String> outBlobNames) { Mat outputBlobs_mat = new Mat(); forward_4(nativeObj, outputBlobs_mat.nativeObj, outBlobNames); Converters.Mat_to_vector_Mat(outputBlobs_mat, outputBlobs); outputBlobs_mat.release(); return; }
Example #10
Source File: Core.java From FTCVision with MIT License | 5 votes |
public static MinMaxLocResult minMaxLoc(Mat src, Mat mask) { MinMaxLocResult res = new MinMaxLocResult(); long maskNativeObj=0; if (mask != null) { maskNativeObj=mask.nativeObj; } double resarr[] = n_minMaxLocManual(src.nativeObj, maskNativeObj); res.minVal=resarr[0]; res.maxVal=resarr[1]; res.minLoc.x=resarr[2]; res.minLoc.y=resarr[3]; res.maxLoc.x=resarr[4]; res.maxLoc.y=resarr[5]; return res; }
Example #11
Source File: PreImageUtilsTests.java From super-cloudops with Apache License 2.0 | 5 votes |
@Test public void testPre() { for (int i = 1; i <= 6; i++) { String imgPath = "C:/Users/X240/Desktop/opencv/web/p" + i + ".jpg"; String destPath = "C:/Users/X240/Desktop/opencv/web/"; Mat src = GeneralUtils.matFactory(imgPath); src = PreImageUtils.preHandleUtils(src); GeneralUtils.saveImg(src, destPath + "b-" + i + ".jpg"); } }
Example #12
Source File: Imgproc.java From MOAAP with MIT License | 5 votes |
public static RotatedRect minAreaRect(MatOfPoint2f points) { Mat points_mat = points; RotatedRect retVal = new RotatedRect(minAreaRect_0(points_mat.nativeObj)); return retVal; }
Example #13
Source File: Feature2D.java From FaceDetectDemo with Apache License 2.0 | 5 votes |
public void detectAndCompute(Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors) { Mat keypoints_mat = keypoints; detectAndCompute_1(nativeObj, image.nativeObj, mask.nativeObj, keypoints_mat.nativeObj, descriptors.nativeObj); return; }
Example #14
Source File: Core.java From OpenCV-AndroidSamples with MIT License | 5 votes |
public static MinMaxLocResult minMaxLoc(Mat src, Mat mask) { MinMaxLocResult res = new MinMaxLocResult(); long maskNativeObj=0; if (mask != null) { maskNativeObj=mask.nativeObj; } double resarr[] = n_minMaxLocManual(src.nativeObj, maskNativeObj); res.minVal=resarr[0]; res.maxVal=resarr[1]; res.minLoc.x=resarr[2]; res.minLoc.y=resarr[3]; res.maxLoc.x=resarr[4]; res.maxLoc.y=resarr[5]; return res; }
Example #15
Source File: Features2d.java From OpenCvFaceDetect with Apache License 2.0 | 5 votes |
public static void drawMatchesKnn(Mat img1, MatOfKeyPoint keypoints1, Mat img2, MatOfKeyPoint keypoints2, List<MatOfDMatch> matches1to2, Mat outImg, Scalar matchColor) { 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); drawMatchesKnn_3(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]); return; }
Example #16
Source File: Test.java From classchecks with Apache License 2.0 | 5 votes |
public static void recognition() { String modelFilePath = "E:\\classchecks\\2017417\\train\\trainModel-20170418.xml"; BasicFaceRecognizer model = TrainFaces.load(modelFilePath); Mat waitRecoMat = Imgcodecs.imread("E:\\classchecks\\2017417\\split\\14.jpg"); Mat preProc = PreProcessFace.rawProcessedFace(waitRecoMat); //Imgproc.resize(preProc, preProc, new Size(92, 112)); Mat reconstructMat = Recognition.reconstructFace(model, preProc); double similarity = Recognition.getSimilarity(preProc, reconstructMat); System.out.println("similarity=" + similarity); int pridictLabel = model.predict_label(preProc); System.out.println("pridictLabel=" + pridictLabel); }
Example #17
Source File: Subdiv2D.java From FTCVision with MIT License | 5 votes |
public void getEdgeList(MatOfFloat4 edgeList) { Mat edgeList_mat = edgeList; getEdgeList_0(nativeObj, edgeList_mat.nativeObj); return; }
Example #18
Source File: Converters.java From LicensePlateDiscern with MIT License | 4 votes |
public static Mat vector_Point3i_to_Mat(List<Point3> pts) { return vector_Point3_to_Mat(pts, CvType.CV_32S); }
Example #19
Source File: Frame.java From ShootOFF with GNU General Public License v3.0 | 4 votes |
public Frame(Mat mat, long timestamp) { this.mat = mat; this.timestamp = timestamp; }
Example #20
Source File: KalmanFilter.java From Form-N-Fun with MIT License | 3 votes |
public Mat get_errorCovPre() { Mat retVal = new Mat(get_errorCovPre_0(nativeObj)); return retVal; }
Example #21
Source File: Core.java From react-native-documentscanner-android with MIT License | 3 votes |
public static double determinant(Mat mtx) { double retVal = determinant_0(mtx.nativeObj); return retVal; }
Example #22
Source File: Core.java From ml-authentication with Apache License 2.0 | 3 votes |
public static void mulTransposed(Mat src, Mat dst, boolean aTa, Mat delta, double scale, int dtype) { mulTransposed_0(src.nativeObj, dst.nativeObj, aTa, delta.nativeObj, scale, dtype); return; }
Example #23
Source File: Core.java From MOAAP with MIT License | 3 votes |
public static void add(Mat src1, Scalar src2, Mat dst) { add_5(src1.nativeObj, src2.val[0], src2.val[1], src2.val[2], src2.val[3], dst.nativeObj); return; }
Example #24
Source File: Imgproc.java From Machine-Learning-Projects-for-Mobile-Applications with MIT License | 3 votes |
public static void blur(Mat src, Mat dst, Size ksize, Point anchor, int borderType) { blur_0(src.nativeObj, dst.nativeObj, ksize.width, ksize.height, anchor.x, anchor.y, borderType); return; }
Example #25
Source File: Imgproc.java From SimpleDocumentScanner-Android with MIT License | 3 votes |
public static void filter2D(Mat src, Mat dst, int ddepth, Mat kernel, Point anchor, double delta, int borderType) { filter2D_0(src.nativeObj, dst.nativeObj, ddepth, kernel.nativeObj, anchor.x, anchor.y, delta, borderType); return; }
Example #26
Source File: Imgproc.java From react-native-documentscanner-android with MIT License | 3 votes |
public static void distanceTransformWithLabels(Mat src, Mat dst, Mat labels, int distanceType, int maskSize) { distanceTransformWithLabels_1(src.nativeObj, dst.nativeObj, labels.nativeObj, distanceType, maskSize); return; }
Example #27
Source File: Calib3d.java From android-object-distance with Apache License 2.0 | 3 votes |
/** * <p>Computes an RQ decomposition of 3x3 matrices.</p> * * <p>The function computes a RQ decomposition using the given rotations. This * function is used in "decomposeProjectionMatrix" to decompose the left 3x3 * submatrix of a projection matrix into a camera and a rotation matrix.</p> * * <p>It optionally returns three rotation matrices, one for each axis, and the * three Euler angles in degrees (as the return value) that could be used in * OpenGL. Note, there is always more than one sequence of rotations about the * three principle axes that results in the same orientation of an object, eg. * see [Slabaugh]. Returned tree rotation matrices and corresponding three Euler * angules are only one of the possible solutions.</p> * * @param src 3x3 input matrix. * @param mtxR Output 3x3 upper-triangular matrix. * @param mtxQ Output 3x3 orthogonal matrix. * * @see <a href="http://docs.opencv.org/modules/calib3d/doc/camera_calibration_and_3d_reconstruction.html#rqdecomp3x3">org.opencv.calib3d.Calib3d.RQDecomp3x3</a> */ public static double[] RQDecomp3x3(Mat src, Mat mtxR, Mat mtxQ) { double[] retVal = RQDecomp3x3_1(src.nativeObj, mtxR.nativeObj, mtxQ.nativeObj); return retVal; }
Example #28
Source File: TrainData.java From MOAAP with MIT License | 3 votes |
public Mat getTestNormCatResponses() { Mat retVal = new Mat(getTestNormCatResponses_0(nativeObj)); return retVal; }
Example #29
Source File: Calib3d.java From Camdroid with Apache License 2.0 | 3 votes |
public static Mat findEssentialMat(Mat points1, Mat points2, double focal, Point pp, int method, double prob, double threshold, Mat mask) { Mat retVal = new Mat(findEssentialMat_0(points1.nativeObj, points2.nativeObj, focal, pp.x, pp.y, method, prob, threshold, mask.nativeObj)); return retVal; }
Example #30
Source File: Imgproc.java From OpenCV-AndroidSamples with MIT License | 3 votes |
public static Mat getDefaultNewCameraMatrix(Mat cameraMatrix) { Mat retVal = new Mat(getDefaultNewCameraMatrix_1(cameraMatrix.nativeObj)); return retVal; }