Exemplo n.º 1
0
  CvMat loadTrainingData() {
    CvMat pTrainPersonNumMat = null; // the person numbers during training
    CvFileStorage fileStorage;
    int i;

    // create a file-storage interface
    fileStorage =
        cvOpenFileStorage(
            "data/facedata.xml", // filename
            null, // memstorage
            CV_STORAGE_READ, // flags
            null); // encoding

    // Load the person names.
    personNames.clear(); // Make sure it starts as empty.
    nPersons =
        cvReadIntByName(
            fileStorage, // fs
            null, // map
            "nPersons", // name
            0); // default_value

    // Load each person's name.
    for (i = 0; i < nPersons; i++) {
      String sPersonName;
      String varname = "personName_" + (i + 1);
      sPersonName =
          cvReadStringByName(
              fileStorage, // fs
              null, // map
              varname,
              "");
      personNames.add(sPersonName);
    }

    // Load the data
    nEigens =
        cvReadIntByName(
            fileStorage, // fs
            null, // map
            "nEigens",
            0); // default_value
    nTrainFaces =
        cvReadIntByName(
            fileStorage,
            null, // map
            "nTrainFaces",
            0); // default_value
    Pointer pointer =
        cvReadByName(
            fileStorage, // fs
            null, // map
            "trainPersonNumMat"); // name
    pTrainPersonNumMat = new CvMat(pointer);

    pointer =
        cvReadByName(
            fileStorage, // fs
            null, // map
            "eigenValMat"); // name
    eigenValMat = new CvMat(pointer);

    pointer =
        cvReadByName(
            fileStorage, // fs
            null, // map
            "projectedTrainFaceMat"); // name
    projectedTrainFaceMat = new CvMat(pointer);

    pointer =
        cvReadByName(
            fileStorage,
            null, // map
            "avgTrainImg");
    pAvgTrainImg = new IplImage(pointer);

    eigenVectArr = new IplImage[nTrainFaces];
    for (i = 0; i < nEigens; i++) {
      String varname = "eigenVect_" + i;
      pointer =
          cvReadByName(
              fileStorage,
              null, // map
              varname);
      eigenVectArr[i] = new IplImage(pointer);
    }

    // release the file-storage interface
    cvReleaseFileStorage(fileStorage);
    final StringBuilder stringBuilder = new StringBuilder();
    stringBuilder.append("People: ");
    if (nPersons > 0) {
      stringBuilder.append("<").append(personNames.get(0)).append(">");
    }
    for (i = 1; i < nPersons; i++) {
      stringBuilder.append(", <").append(personNames.get(i)).append(">");
    }

    return pTrainPersonNumMat;
  }
Exemplo n.º 2
0
  /**
   * Opens the training data from the file 'data/facedata.xml'.
   *
   * @param pTrainPersonNumMat
   * @return the person numbers during training, or null if not successful
   */
  private CvMat loadTrainingData(String dataPath, String personName) {
    LOGGER.info("loading training data");
    CvMat pTrainPersonNumMat = null; // the person numbers during training
    CvFileStorage fileStorage;
    int i;

    String dataFilePath = dataPath + "/" + personName + ".xml";
    LOGGER.info("loading training data from " + dataFilePath);
    // create a file-storage interface
    fileStorage =
        cvOpenFileStorage(
            dataFilePath, // filename
            null, // memstorage
            CV_STORAGE_READ, // flags
            null); // encoding
    if (fileStorage == null) {
      LOGGER.severe("Can't open training database file '" + dataFilePath + "'.");
      return null;
    }

    // Load the person names.
    personNames.clear(); // Make sure it starts as empty.
    nPersons = cvReadIntByName(fileStorage, null, personName, 0);
    if (nPersons == 0) {
      LOGGER.severe("No people found in the training database 'data/facedata.xml'.");
      return null;
    } else {
      LOGGER.info(nPersons + " persons read from the training database");
    }

    // Load each person's name.
    for (i = 0; i < nPersons; i++) {
      String sPersonName;
      String varname = "personName_" + (i + 1);
      sPersonName =
          cvReadStringByName(
              fileStorage, // fs
              null, // map
              varname,
              "");
      personNames.add(sPersonName);
    }
    LOGGER.info("person names: " + personNames);

    // Load the data
    nEigens =
        cvReadIntByName(
            fileStorage, // fs
            null, // map
            "nEigens",
            0); // default_value
    nTrainFaces =
        cvReadIntByName(
            fileStorage,
            null, // map
            "nTrainFaces",
            0); // default_value
    Pointer pointer =
        cvReadByName(
            fileStorage, // fs
            null, // map
            "trainPersonNumMat"); // name
    pTrainPersonNumMat = new CvMat(pointer);

    pointer =
        cvReadByName(
            fileStorage, // fs
            null, // map
            "eigenValMat"); // name
    eigenValMat = new CvMat(pointer);

    pointer =
        cvReadByName(
            fileStorage, // fs
            null, // map
            "projectedTrainFaceMat"); // name
    projectedTrainFaceMat = new CvMat(pointer);
    pointer =
        cvReadByName(
            fileStorage,
            null, // map
            "avgTrainImg");
    pAvgTrainImg = new IplImage(pointer);

    eigenVectArr = new IplImage[nTrainFaces];
    for (i = 0; i <= nEigens; i++) {
      String varname = "eigenVect_" + i;
      pointer =
          cvReadByName(
              fileStorage,
              null, // map
              varname);
      eigenVectArr[i] = new IplImage(pointer);
    }

    // release the file-storage interface
    cvReleaseFileStorage(fileStorage);

    LOGGER.info(
        "Training data loaded (" + nTrainFaces + " training images of " + nPersons + " people)");
    final StringBuilder stringBuilder = new StringBuilder();
    stringBuilder.append("People: ");
    if (nPersons > 0) {
      stringBuilder.append("<").append(personNames.get(0)).append(">");
    }
    for (i = 1; i < nPersons; i++) {
      stringBuilder.append(", <").append(personNames.get(i)).append(">");
    }
    LOGGER.info(stringBuilder.toString());

    return pTrainPersonNumMat;
  }