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試圖找出一種方法來收集信心水平,當它實際上做目標圖像上的臉部識別。我已經搜索了幾個例子,但還沒有找到任何我可以看到如何實現的東西。所有幫助表示感謝,謝謝你們。用JAVACV程序收集信心
public static void facecompare() {
String trainingDir = "C:/TrainingDirectory"; //training directory
IplImage testImage = cvLoadImage("C:/TargetImages/boland_straight_happy_open_4.pgm"); //the target image
File root = new File(trainingDir);
FilenameFilter pngFilter = new FilenameFilter() {
public boolean accept(File dir, String name) {
return name.toLowerCase().endsWith(".pgm");
}
};
File[] imageFiles = root.listFiles(pngFilter);
MatVector images = new MatVector(imageFiles.length);
int[] labels = new int[imageFiles.length];
int counter = 0;
int label;
IplImage img;
IplImage grayImg;
for (File image : imageFiles) {
img = cvLoadImage(image.getAbsolutePath());
label = Integer.parseInt(image.getName().split("\\-")[0]);
grayImg = IplImage.create(img.width(), img.height(), IPL_DEPTH_8U, 1);
cvCvtColor(img, grayImg, CV_BGR2GRAY);
images.put(counter, grayImg);
labels[counter] = label;
counter++;
}
IplImage greyTestImage = IplImage.create(testImage.width(), testImage.height(), IPL_DEPTH_8U, 1);
// FaceRecognizer faceRecognizer = createFisherFaceRecognizer();
// FaceRecognizer faceRecognizer = createEigenFaceRecognizer();
FaceRecognizer faceRecognizer = createLBPHFaceRecognizer();
faceRecognizer.train(images, labels);
cvCvtColor(testImage, greyTestImage, CV_BGR2GRAY);
int predictedLabel = faceRecognizer.predict(greyTestImage);
System.out.println("Predicted label: " + predictedLabel);
}
我預計,這種方法將所有的信心值在訓練集的所有圖像。但是,至少對我而言,它只給出預測圖像的置信度值。這是正常的? – 2015-08-09 20:37:12