List of usage examples for org.opencv.core Mat Mat
public Mat()
From source file:com.example.colordetector.CamMainActivity.java
License:Apache License
public void onCameraViewStarted(int width, int height) { // initialize the matrix that will contain the working's frame rgbaFrame = new Mat(); rgbFrame = new Mat(); hsvFrame = new Mat(); filteredFrame = new Mat(); inRangeMask = new Mat(); hChannel = new Mat(); // Getting the dimension of the frame camHeight = height;/*from w w w . ja v a2 s . c om*/ camWidth = width; frameDim = height * width; // Variables for countdown in automatic shoot setting timeToElapse = 24; // 24 wait cycles of 75ms before taking the picture osdSecond = ""; // string containing the countdown display screen // Getting preferences list SharedPreferences sharedPref = PreferenceManager.getDefaultSharedPreferences(this); String colorSelected = sharedPref.getString(KEY_PREF_COLOR, ""); // Getting the shooting image method choosed by the user; // if set to manual display the button to take the picture if (sharedPref.getString(KEY_PREF_METHOD, "").compareTo("manual") == 0) { methodAuto = false; button.setVisibility(SurfaceView.VISIBLE); } else { methodAuto = true; button.setVisibility(SurfaceView.GONE); // Getting the automatic capture method (countdown, immediate) if (sharedPref.getString(KEY_PREF_AUTOMATIC_SHOOT, "").compareTo("countdown") == 0) { countDown = true; } else { countDown = false; } } // Setting threshold values according to the color currently selected double thresArray[] = new double[3]; // Red --> H = 0 | 360 if (colorSelected.equals("red")) { setColorValues(thresArray, 0, 50, 50); // Min thresMin.set(thresArray); setColorValues(thresArray, 5, 255, 255); // Max thresMax.set(thresArray); } // Yellow --> H = 60 / 2 = 30 else if (colorSelected.equals("yellow")) { setColorValues(thresArray, 25, 50, 50); // Min thresMin.set(thresArray); setColorValues(thresArray, 35, 255, 255); // Max thresMax.set(thresArray); } // Green --> H = 120 / 2 = 60 else if (colorSelected.equals("green")) { setColorValues(thresArray, 40, 50, 50); // Min thresMin.set(thresArray); setColorValues(thresArray, 89, 255, 255); // Max thresMax.set(thresArray); } // Light blue --> H = 180 / 2 = 90 else if (colorSelected.equals("lightBlue")) { setColorValues(thresArray, 90, 50, 50); // Min thresMin.set(thresArray); setColorValues(thresArray, 109, 255, 255); // Max thresMax.set(thresArray); } // Blue --> H = 240 / 2 = 120 else if (colorSelected.equals("blue")) { setColorValues(thresArray, 110, 50, 50); // Min thresMin.set(thresArray); setColorValues(thresArray, 128, 255, 255); // Max thresMax.set(thresArray); } // Magenta --> H = 300 / 2 = 150 else if (colorSelected.equals("magenta")) { setColorValues(thresArray, 140, 50, 50); // Min thresMin.set(thresArray); setColorValues(thresArray, 170, 255, 255); // Max thresMax.set(thresArray); } }
From source file:com.example.root.dipproj.MainActivity.java
@Override protected void onActivityResult(int requestCode, int resultCode, Intent data) { super.onActivityResult(requestCode, resultCode, data); if (resultCode == RESULT_OK) { if (requestCode == 1) { File f = new File(Environment.getExternalStorageDirectory().toString()); for (File temp : f.listFiles()) { if (temp.getName().equals("temp.jpg")) { f = temp;/*from w w w . jav a 2 s.c o m*/ break; } } try { Bitmap bitmap; BitmapFactory.Options bitmapOptions = new BitmapFactory.Options(); bitmap = BitmapFactory.decodeFile(f.getAbsolutePath(), bitmapOptions); viewImage.setImageBitmap(bitmap); String path = android.os.Environment.getExternalStorageDirectory() + File.separator + "Phoenix" + File.separator + "default"; f.delete(); OutputStream outFile = null; File file = new File(path, String.valueOf(System.currentTimeMillis()) + ".jpg"); try { outFile = new FileOutputStream(file); bitmap.compress(Bitmap.CompressFormat.JPEG, 85, outFile); outFile.flush(); outFile.close(); } catch (FileNotFoundException e) { e.printStackTrace(); } catch (IOException e) { e.printStackTrace(); } catch (Exception e) { e.printStackTrace(); } } catch (Exception e) { e.printStackTrace(); } } else if (requestCode == 2) { Uri selectedImage = data.getData(); String[] filePath = { MediaStore.Images.Media.DATA }; Cursor c = getContentResolver().query(selectedImage, filePath, null, null, null); c.moveToFirst(); int columnIndex = c.getColumnIndex(filePath[0]); String picturePath = c.getString(columnIndex); c.close(); Bitmap thumbnail = (BitmapFactory.decodeFile(picturePath)); Log.w("path of image", picturePath + ""); Mat imgMat = new Mat(); Mat imgMat2 = new Mat(); Mat imgMat3 = new Mat(); Utils.bitmapToMat(thumbnail, imgMat); Imgproc.cvtColor(imgMat, imgMat, Imgproc.COLOR_RGB2GRAY); org.opencv.core.Size s = new Size(3, 3); Imgproc.createCLAHE(); Imgproc.GaussianBlur(imgMat, imgMat, s, 2); Imgproc.erode(imgMat, imgMat2, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(2, 2))); Imgproc.dilate(imgMat2, imgMat3, Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(2, 2))); Imgproc.Sobel(imgMat, imgMat, CvType.CV_8UC1, 1, 0); Core.absdiff(imgMat, imgMat3, imgMat); Imgproc.threshold(imgMat, imgMat, 123, 255, Imgproc.THRESH_OTSU); Utils.matToBitmap(imgMat, thumbnail); viewImage.setImageBitmap(thumbnail); saveBitmaptoSDCard(thumbnail); } } }
From source file:com.example.yannic.remotefacedetection.agent.FaceDetectionAgent.java
License:Open Source License
public Tuple2Future<byte[], Integer> recognizeFace(int id, byte[] inputFace) { int c = 0;//from w w w .j av a 2s . c o m long startTime = System.currentTimeMillis(); byte[] recognizedFace = new byte[0]; System.out.println(id); BufferedImage bi; try { bi = ImageIO.read(new ByteArrayInputStream(inputFace)); Mat input = bufferedImageToMat(bi); Mat resizedImg = new Mat(); Size size = new Size(92, 112); Imgproc.resize(input, resizedImg, size); bi = matToBufferedImage(resizedImg, bi); ImageIO.write(bi, "jpg", new File("C:\\inputPicturesFace\\" + c + "-test.jpg")); int label = mFaceRecognizer.recognizeFace("C:\\inputPicturesFace\\" + c + "-test.jpg"); c++; recognizedFace = Files .readAllBytes(new File("C:\\trainingPictures\\(" + label + ")-test.jpg").toPath()); } catch (IOException e) { // TODO Auto-generated catch block e.printStackTrace(); } Tuple2Future fut = new Tuple2Future<byte[], Integer>(); fut.setFirstResult(recognizedFace); fut.setSecondResult(id); long endTime = System.currentTimeMillis(); System.out.println("Dauer Result: " + (endTime - startTime) + " milliseconds"); return fut; }
From source file:com.github.mbillingr.correlationcheck.ImageProcessor.java
License:Open Source License
Bitmap matToBitmap(Mat input) {
if (input == null) {
return Bitmap.createBitmap(0, 0, Bitmap.Config.ARGB_8888);
}//from www . j a v a 2s . c o m
Mat tmp = new Mat();
if (input.channels() == 1) {
Imgproc.cvtColor(input, tmp, Imgproc.COLOR_GRAY2RGB);
} else {
Imgproc.cvtColor(input, tmp, Imgproc.COLOR_BGR2RGB);
}
Core.transpose(tmp, tmp);
Core.flip(tmp, tmp, 1);
Bitmap bm = Bitmap.createBitmap(tmp.cols(), tmp.rows(), Bitmap.Config.ARGB_8888);
Utils.matToBitmap(tmp, bm);
return bm;
}
From source file:com.github.mbillingr.correlationcheck.ImageProcessor.java
License:Open Source License
public Bitmap getImageBitmap(int w, int h) { Mat tmp = new Mat(); Imgproc.resize(working_image, tmp, new Size(h, w)); return matToBitmap(tmp); }
From source file:com.github.mbillingr.correlationcheck.ImageProcessor.java
License:Open Source License
public List<Point> extractPoints() { Mat gray = new Mat();//work_width, work_height, CvType.CV_8UC1); Mat binary = new Mat(); Mat kernel = Mat.ones(3, 3, CvType.CV_8UC1); debugreset();//from w w w. j a v a 2 s. c om Mat image = load_transformed(); working_image = image.clone(); debugsave(image, "source"); Imgproc.cvtColor(image, gray, Imgproc.COLOR_RGB2GRAY); debugsave(gray, "grayscale"); Imgproc.GaussianBlur(gray, gray, new Size(15, 15), 0); debugsave(gray, "blurred"); //Imgproc.equalizeHist(gray, gray); //debugsave(gray, "equalized"); Imgproc.adaptiveThreshold(gray, binary, 255, Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C, Imgproc.THRESH_BINARY_INV, 129, 5); //Imgproc.threshold(gray, binary, 0, 255, Imgproc.THRESH_BINARY_INV + Imgproc.THRESH_OTSU); //Imgproc.threshold(gray, binary, 128, 255, Imgproc.THRESH_BINARY_INV); debugsave(binary, "binary"); Imgproc.morphologyEx(binary, binary, Imgproc.MORPH_CLOSE, kernel); debugsave(binary, "closed"); Imgproc.morphologyEx(binary, binary, Imgproc.MORPH_OPEN, kernel); debugsave(binary, "opened"); List<MatOfPoint> contours = new ArrayList<>(); Mat hierarchy = new Mat(); Imgproc.findContours(binary, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE); // is binary is now changed Imgproc.drawContours(image, contours, -1, new Scalar(0, 0, 255), 3); debugsave(image, "contours"); List<PointAndArea> points = new ArrayList<>(); for (MatOfPoint cnt : contours) { MatOfPoint2f c2f = new MatOfPoint2f(); c2f.fromArray(cnt.toArray()); RotatedRect rr = Imgproc.minAreaRect(c2f); double area = Imgproc.contourArea(cnt); if (rr.size.width / rr.size.height < 3 && rr.size.height / rr.size.width < 3 && rr.size.width < 64 && rr.size.height < 64 && area > 9 && area < 10000) { points.add(new PointAndArea((int) area, rr.center)); } } List<Point> final_points = new ArrayList<>(); Collections.sort(points); Collections.reverse(points); int prev = -1; for (PointAndArea p : points) { Log.i("area", Integer.toString(p.area)); if (prev == -1 || p.area >= prev / 2) { prev = p.area; Imgproc.circle(image, p.point, 10, new Scalar(0, 255, 0), 5); final_points.add(new Point(1 - p.point.y / work_height, 1 - p.point.x / work_width)); } } debugsave(image, "circles"); return final_points; }
From source file:com.github.rosjava_catkin_package_a.ARLocROS.ComputePose.java
License:Apache License
public boolean computePose(Mat rvec, Mat tvec, Mat image2) throws NyARException, FileNotFoundException { // convert image to NyAR style for processing final INyARRgbRaster imageRaster = NyARImageHelper.createFromMat(image2); // create new marker system configuration i_config = new NyARMarkerSystemConfig(i_param); markerSystemState = new NyARMarkerSystem(i_config); // Create wrapper that passes cam pictures to marker system cameraSensorWrapper = new NyARSensor(i_screen_size); ids = new int[markerPatterns.size()]; patternmap = new HashMap<>(); for (int i = 0; i < markerPatterns.size(); i++) { // create marker description from pattern file and add to marker // system ids[i] = markerSystemState.addARMarker(arCodes.get(i), 25, markerConfig.getMarkerSize()); patternmap.put(ids[i], markerPatterns.get(i)); }/*from ww w .ja va2 s.com*/ cameraSensorWrapper.update(imageRaster); markerSystemState.update(cameraSensorWrapper); // init 3D point list final List<Point3> points3dlist = new ArrayList<>(); final List<Point> points2dlist = new ArrayList<>(); for (final int id : ids) { // process only if this marker has been detected if (markerSystemState.isExistMarker(id) && markerSystemState.getConfidence(id) > 0.7) { // read and add 2D points final NyARIntPoint2d[] vertex2d = markerSystemState.getMarkerVertex2D(id); Point p = new Point(vertex2d[0].x, vertex2d[0].y); points2dlist.add(p); p = new Point(vertex2d[1].x, vertex2d[2].y); points2dlist.add(p); p = new Point(vertex2d[2].x, vertex2d[2].y); points2dlist.add(p); p = new Point(vertex2d[3].x, vertex2d[3].y); points2dlist.add(p); final MatOfPoint mop = new MatOfPoint(); mop.fromList(points2dlist); final List<MatOfPoint> pts = new ArrayList<>(); pts.add(mop); // read and add corresponding 3D points points3dlist.addAll(markerConfig.create3dpointlist(patternmap.get(id))); // draw red rectangle around detected marker Core.rectangle(image2, new Point(vertex2d[0].x, vertex2d[0].y), new Point(vertex2d[2].x, vertex2d[2].y), new Scalar(0, 0, 255)); } } // load 2D and 3D points to Mats for solvePNP final MatOfPoint3f objectPoints = new MatOfPoint3f(); objectPoints.fromList(points3dlist); final MatOfPoint2f imagePoints = new MatOfPoint2f(); imagePoints.fromList(points2dlist); if (visualization) { // show image with markers detected Imshow.show(image2); } // do not call solvePNP with empty intput data (no markers detected) if (points2dlist.size() == 0) { return false; } // uncomment these lines if using RANSAC-based pose estimation (more // shaking) Mat inliers = new Mat(); Calib3d.solvePnPRansac(objectPoints, imagePoints, cameraMatrix, distCoeffs, rvec, tvec, false, 300, 5, 16, inliers, Calib3d.CV_P3P); ARLoc.getLog().info("Points detected: " + points2dlist.size() + " inliers: " + inliers.size()); // avoid publish zero pose if localization failed if (inliers.rows() == 0) { return false; } return true; }
From source file:com.ibm.streamsx.edgevideo.device.Camera.java
License:Open Source License
/** * Grab a frame from the camera. Calls {@link #open()} if needed. * @return the frame//from ww w .j ava2s . co m */ public Mat grabFrame() { if (!initialized) { open(); } Mat frame = new Mat(); camera.read(frame); return frame; }
From source file:com.ibm.streamsx.edgevideo.device.edgent.JsonMat.java
License:Open Source License
private static String base64MimeEncodeMat(Mat mat) { int width = mat.width(), height = mat.height(), channels = mat.channels(); // resize if needed // With initial resize factor of 4 and being within 2' of the MBP camera, // a face image seems to be on the order of 15Kb. if (width * height * channels > 50 * 1024) { Mat smallerFace = new Mat(); int resizeFactor = 2; Imgproc.resize(mat, smallerFace, new Size(mat.width() / resizeFactor, mat.height() / resizeFactor)); mat = smallerFace;// w w w. j a va 2s . c o m width = mat.width(); height = mat.height(); channels = mat.channels(); } byte[] sourcePixels = new byte[width * height * channels]; mat.get(0, 0, sourcePixels); // Base64 encode the image to be able to package in JsonObject // java.utils.Base64 since 1.8, otherwise use Apache Commons Encoder encoder = Base64.getMimeEncoder(); String base64 = encoder.encodeToString(sourcePixels); //System.out.println("pub face bytes size: " + sourcePixels.length + " base64 size:" + base64.length()); return base64; }
From source file:com.ibm.streamsx.edgevideo.device.FaceDetector.java
License:Open Source License
public Mat resize(Mat frame) { Mat resized = new Mat(); Imgproc.resize(frame, resized, new Size(frame.width() / resizeFactor, frame.height() / resizeFactor)); return resized; }