Пример #1
0
  public void btn_camera_ok(View view) {
    Log.i(TAG, "btn_camera_ok");
    if (!bPictaken) {
      ToastUtil.showShortToast(getApplicationContext(), "亲要先进行拍照哟!");
      return; // do not forget!
    }
    // async do -> runtime exception: method called after release()
    // maybe the activity releases before the thread returns!
    final Mat image = Highgui.imread(filePath);
    int width = image.width();
    int height = image.height();
    if (width > height) { // portrait should be rotated! direction? yes!
      Core.flip(image.t(), image, 0); // counter-clock wise 90
    }
    Imgproc.cvtColor(image, image, Imgproc.COLOR_BGR2GRAY); // gray
    Imgproc.resize(image, image, new Size(CommonUtil.IMAGE_WIDTH, CommonUtil.IMAGE_HEIGHT)); //
    int total = 0;
    String stotal = CommonUtil.userProps.getProperty("total");
    if (null != stotal) { // have some users!
      total = Integer.parseInt(stotal);
    }
    if (userid <= 0) { // not have this one!
      userid = total + 1;
      try { // save new data!
        CommonUtil.userProps.setProperty("total", String.valueOf(userid));
        CommonUtil.userProps.setProperty(String.valueOf(userid), name);
        CommonUtil.saveUserProperties(CommonUtil.userProps);
      } catch (Exception e) {
        e.printStackTrace();
      }
      // creat folder for this user!
      File userfolder =
          new File(
              CommonUtil.USERFOLDER.getAbsolutePath() + File.separator + String.valueOf(userid));
      if (!userfolder.exists()) {
        userfolder.mkdir();
      }
    }
    filePath =
        CommonUtil.USERFOLDER.getAbsolutePath()
            + File.separator
            + String.valueOf(userid)
            + File.separator
            + System.currentTimeMillis()
            + ".jpg"; // folder (user / userid)
    Highgui.imwrite(filePath, image);
    // save data to facedata.txt
    String data = filePath + ";" + userid + "\n"; // user image file path;user id
    try {
      RandomAccessFile facedataFile =
          new RandomAccessFile(
              CommonUtil.SDFOLDER + File.separator + CommonUtil.FACEDATA_FILENAME, "rw");
      facedataFile.seek(facedataFile.length());
      facedataFile.write(data.getBytes());
      facedataFile.close();
    } catch (FileNotFoundException e) {
      e.printStackTrace();
    } catch (IOException e) {
      e.printStackTrace();
    }
    Log.i(TAG, "image process ok");

    // add this pic to the model data
    new AsyncTask<Void, Void, Boolean>() {

      @Override
      protected Boolean doInBackground(Void... params) {
        xface.addImage(image, userid); // how to determinate the result of adding image?!TODO!
        return true;
      }

      @Override
      protected void onPostExecute(Boolean result) {
        if (result) {
          ToastUtil.showShortToast(getApplicationContext(), "照片保存成功,模型建立好咯!");
        } else {
          ToastUtil.showShortToast(getApplicationContext(), "照片保存成功,模型建立失败啦!");
        }
        btn_camera_ok.setEnabled(true);
      }

      @Override
      protected void onPreExecute() {
        ToastUtil.showShortToast(getApplicationContext(), "照片保存中...");
        btn_camera_ok.setEnabled(false); // can not let user save two images at the same time!
      }
    }.execute();
  }
Пример #2
0
  public static void main(String[] args) {

    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

    /** *** Configuration Variables **** */
    int imgWidth = 200;
    int imgHeight = 200;
    int numPatch = 2000;
    int patchWidth = 40;
    int patchHeight = 40;
    int k = 200; // kmeans number of center
    int numBins = 8;

    String filePathRed = "base/Red/";
    String filePathBlack = "base/Black";
    String procPathRed = "base/ProcRed";
    String procPathBlack = "base/ProcBlack";
    /** ******************************** */
    ArrayList<String> fileNames = new ArrayList<String>();

    sources = new ArrayList<Mat>();

    /* Image IO */
    try {

      /* Read Red Staplers */
      File folder = new File(filePathRed);
      BufferedImage currentImage;
      for (final File fileEntry : folder.listFiles()) {
        if (!fileEntry.isDirectory()) {

          // Resize Image
          currentImage = ImageProc.resize(ImageIO.read(fileEntry), imgWidth, imgHeight);

          File outFile = new File(procPathRed + "/" + fileEntry.getName());
          ImageIO.write(currentImage, "JPG", outFile);
          sources.add(Highgui.imread(outFile.getPath()));
          fileNames.add(outFile.getName());
        }
      }

      /* Read Black Staplers */
      folder = new File(filePathBlack);
      for (final File fileEntry : folder.listFiles()) {
        if (!fileEntry.isDirectory()) {

          // Resize Image
          currentImage = ImageProc.resize(ImageIO.read(fileEntry), imgWidth, imgHeight);

          File outFile = new File(procPathBlack + "/" + fileEntry.getName());
          ImageIO.write(currentImage, "JPG", outFile);
          sources.add(Highgui.imread(outFile.getPath()));
          fileNames.add(outFile.getName());
        }
      }

    } catch (IOException e) {
      e.printStackTrace();
    }

    /** ************************************* */
    float[] p1 = new float[30];
    float[] p2 = new float[30];

    /* Create Image Patches and calculate color feature vector for each patch */
    Iterator<Mat> imgIter = sources.iterator();
    Mat thisImage;
    Mat featureMat = new Mat();
    List<Mat> imagePatches = null;
    Iterator<Mat> patchIter = null;

    while (imgIter.hasNext()) {

      thisImage = imgIter.next();

      // Randomly Sample Patches
      imagePatches = ImageProc.sampleImage(thisImage, patchWidth, patchHeight, numPatch);
      patchIter = imagePatches.iterator();

      // Create color feature vector for each patch
      while (patchIter.hasNext()) {
        featureMat.push_back(ImageProc.calBGRFeature(patchIter.next(), numBins));
      }
    }

    Mat centers = new Mat();
    Mat bestLabels = new Mat();
    Core.kmeans(
        featureMat,
        k,
        bestLabels,
        new TermCriteria(TermCriteria.EPS, 0, Math.pow(10, -5)),
        0,
        Core.KMEANS_RANDOM_CENTERS,
        centers);

    MatOfFloat bestLabelRange = new MatOfFloat(0, k);

    ArrayList<Mat> centerHist = new ArrayList<Mat>();
    Mat centerHistMat = new Mat(0, k, CvType.CV_32FC1);

    imgIter = sources.listIterator();
    Iterator<String> nameIter = fileNames.iterator();

    int ptr = 0;
    int cnt = 0;

    // Output CSV

    try {
      File outCSV = new File("output/res.csv");
      FileWriter fstream = new FileWriter(outCSV);
      BufferedWriter out = new BufferedWriter(fstream);
      StringBuilder sb;
      out.write("@relation staplers\n");
      for (int n = 0; n < 200; n++) {
        out.write("@attribute " + "a" + n + " real\n");
      }

      out.write("@attribute class {RedStapler, BlackStapler}\n\n");
      out.write("@data\n\n");

      while (imgIter.hasNext()) {

        Mat thisMat = new Mat(bestLabels, new Range(ptr, ptr + numPatch), new Range(0, 1));
        Mat mat = new Mat();
        thisMat.convertTo(mat, CvType.CV_32F);

        ArrayList<Mat> bestLabelList = new ArrayList<Mat>();
        bestLabelList.add(mat);

        Mat thisHist = new Mat();
        Imgproc.calcHist(
            bestLabelList, new MatOfInt(0), new Mat(), thisHist, new MatOfInt(k), bestLabelRange);

        centerHist.add(thisHist);

        // Create file
        sb = new StringBuilder();

        float[] histArr = new float[(int) thisHist.total()];
        thisHist.get(0, 0, histArr);

        for (int m = 0; m < histArr.length; m++) {
          sb.append(histArr[m] + ",");
        }

        if (cnt++ < 10) sb.append("RedStapler");
        else sb.append("BlackStapler");

        sb.append("\n");
        out.write(sb.toString());
        // Close the output stream

        centerHistMat.push_back(thisHist.t());
        ptr += numPatch;
        imgIter.next();
      }

      out.close();
    } catch (IOException e) { // Catch exception if any
      System.err.println("Error: " + e.getMessage());
      System.exit(-1);
    }

    /* Support Vector Machine Validation */
    Mat labelMat = new Mat(sources.size(), 1, CvType.CV_32FC1);

    double[] labels = new double[20];
    for (int i = 0; i < 10; i++) {
      labels[i] = 1;
      labels[i + 10] = -1;
    }
    labelMat.put(0, 0, labels);

    CvSVMParams params = new CvSVMParams();
    params.set_kernel_type(CvSVM.LINEAR);

    CvSVM svm = new CvSVM();
    svm.train(centerHistMat, labelMat, new Mat(), new Mat(), params);
    svm.save("base/haha.txt");
    String basePath = "base/predict/";

    try {
      File testCSV = new File("output/test.arff");
      FileWriter testStream = new FileWriter(testCSV);
      BufferedWriter testOut = new BufferedWriter(testStream);

      testOut.write("@relation staplers\n");
      for (int n = 0; n < 200; n++) {
        testOut.write("@attribute " + "a" + n + " real\n");
      }

      testOut.write("@attribute class {RedStapler, BlackStapler}\n\n");
      testOut.write("@data\n\n");

      for (int m = 0; m < 21; m++) {

        // System.out.println(basePath + m + ".jpg");
        Mat testImg = Highgui.imread(basePath + m + ".jpg");

        List<Mat> patches = ImageProc.sampleImage(testImg, patchWidth, patchHeight, numPatch);
        List<Mat> features = new ArrayList<Mat>();

        for (int i = 0; i < patches.size(); i++) {

          Mat testVector = ImageProc.calBGRFeature(patches.get(i), numBins);
          features.add(testVector);
        }

        Mat testData = ImageProc.calFeatureVector(features, centers);

        StringBuilder testsb = new StringBuilder();
        // String name = nameIter.next();
        // sb.append(name + ",");

        float[] data = new float[testData.cols()];
        testData.get(0, 0, data);

        for (int o = 0; o < data.length; o++) {
          testsb.append(data[o] + ",");
        }
        if (m < 6) testsb.append("RedStapler");
        else testsb.append("BlackStapler");

        testsb.append("\n");
        testOut.write(testsb.toString());

        System.out.println("Img" + m + " " + svm.predict(testData));
      }
    } catch (IOException e) {
      e.printStackTrace();
      System.exit(-1);
    }
  }
Пример #3
0
 public static Mat rotateMat(Mat src) {
   Mat dst = new Mat(src.cols(), src.rows(), src.type());
   Core.flip(src.t(), dst, 0);
   return dst;
 }