public void generatePGMFromPic(String srcPath, String file, String destPath) throws Exception {
String srcFilePath = srcPath + "/" + file;
System.out.println("Loading image from " + srcFilePath);
IplImage origImg = cvLoadImage(srcFilePath);
// convert to grayscale
IplImage grayImg = IplImage.create(origImg.width(), origImg.height(), IPL_DEPTH_8U, 1);
cvCvtColor(origImg, grayImg, CV_BGR2GRAY);
// scale the grayscale (to speed up face detection)
IplImage smallImg =
IplImage.create(grayImg.width() / SCALE, grayImg.height() / SCALE, IPL_DEPTH_8U, 1);
cvResize(grayImg, smallImg, CV_INTER_LINEAR);
// equalize the small grayscale
IplImage equImg = IplImage.create(smallImg.width(), smallImg.height(), IPL_DEPTH_8U, 1);
cvEqualizeHist(smallImg, equImg);
CvMemStorage storage = CvMemStorage.create();
CvHaarClassifierCascade cascade = new CvHaarClassifierCascade(cvLoad(CASCADE_FILE));
System.out.println("Detecting faces...");
CvSeq faces = cvHaarDetectObjects(equImg, cascade, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);
cvClearMemStorage(storage);
int total = faces.total();
System.out.println("Found " + total + " face(s)");
for (int i = 0; i < total; i++) {
CvRect r = new CvRect(cvGetSeqElem(faces, i));
cvSetImageROI(
origImg, cvRect(r.x() * SCALE, r.y() * SCALE, r.width() * SCALE, r.height() * SCALE));
IplImage origface = cvCreateImage(cvSize(r.width() * SCALE, r.height() * SCALE), 8, 3);
IplImage smallface = cvCreateImage(cvSize(120, 120), 8, 3);
cvCopy(origImg, origface);
cvResize(origface, smallface, CV_INTER_LINEAR);
cvSaveImage(destPath + "/" + file + i + ".pgm", smallface);
cvResetImageROI(origImg);
}
}
