Question

我对下面的源代码进行了检查。我想要做的是训练一个SVM模型与一组已经分类的图像。我在SO上找到了一个有趣的例子，但是要明白这里到底发生了什么是有问题的。现在让我们来看看：

public class Training{

protected static final String PATH_POSITIVE = "data/positivo/";
protected static final String PATH_NEGATIVE = "data/negativo/";
protected static final String XML = "data/test.xml";
protected static final String FILE_TEST = "data/negativo/1.jpg";

private static Mat trainingImages;
private static Mat trainingLabels;
private static Mat trainingData;
private static Mat classes;
private static CvSVM clasificador;

static {
    System.loadLibrary( Core.NATIVE_LIBRARY_NAME );
    trainingImages = new Mat();
    trainingLabels = new Mat();
    trainingData = new Mat();
    classes = new Mat();
}

public static void main( String[ ] args ) {
    trainPositive();
    trainNegative();
    train();
    test();
}

protected static void test() {
    Mat in = Highgui.imread( new File( FILE_TEST ).getAbsolutePath(), Highgui.CV_LOAD_IMAGE_GRAYSCALE );
    clasificador.load( new File( XML ).getAbsolutePath() );
    System.out.println( clasificador );
    Mat out = new Mat();
    in.convertTo( out, CvType.CV_32FC1 );
    out = out.reshape( 1, 1 );
    System.out.println( out );
    System.out.println( clasificador.predict( out ) );
}

protected static void train() {
    trainingImages.copyTo( trainingData );
    trainingData.convertTo( trainingData, CvType.CV_32FC1 );
    trainingLabels.copyTo( classes );
    CvSVMParams params = new CvSVMParams();
    params.set_kernel_type( CvSVM.LINEAR );
    clasificador = new CvSVM( trainingData, classes, new Mat(), new Mat(), params );
    clasificador.save( XML );
}

protected static void trainPositive() {
    for ( File file : new File( PATH_POSITIVE ).listFiles() ) {
        Mat img = getMat( file.getAbsolutePath() );
        trainingImages.push_back( img.reshape( 1, 1 ) );
        trainingLabels.push_back( Mat.ones( new Size( 1, 1 ), CvType.CV_32FC1 ) );
    }
}

protected static void trainNegative() {
    for ( File file : new File( PATH_NEGATIVE ).listFiles() ) {
        Mat img = getMat( file.getAbsolutePath() );
        trainingImages.push_back( img.reshape( 1, 1 ) );
        trainingLabels.push_back( Mat.zeros( new Size( 1, 1 ), CvType.CV_32FC1 ) );
    }
}

protected static Mat getMat( String path ) {
    Mat img = new Mat();
    Mat con = Highgui.imread( path, Highgui.CV_LOAD_IMAGE_GRAYSCALE );
    con.convertTo( img, CvType.CV_32FC1, 1.0 / 255.0 );
    return img;
}

}

基本上我有两个问题。
1。行protected static final String PATH_POSITIVE = "data/positivo/";是否是所有正图像的路径？如果是这样，路径是否会导致包含您在开始时使用SIFT或Surf创建的每张图片的描述符的文件夹？或者是否有必要在其中添加图像？
2。我不想全局了。我如何定义一个对我来说很有趣的区域。这对于所有图片都是必不可少的。（训练和测试）例如每张图片的下半部分没有剪切。

SVM OpenCV示例问题

0 个答案: