protected void processImage(byte[] data, int width, int height) {
// First, downsample our image and convert it into a grayscale IplImage
int f = SUBSAMPLING_FACTOR;
if (grayImage == null || grayImage.width() != width / f || grayImage.height() != height / f) {
grayImage = IplImage.create(width / f, height / f, IPL_DEPTH_8U, 1);
}
int imageWidth = grayImage.width();
int imageHeight = grayImage.height();
int dataStride = f * width;
int imageStride = grayImage.widthStep();
ByteBuffer imageBuffer = grayImage.getByteBuffer();
for (int y = 0; y < imageHeight; y++) {
int dataLine = y * dataStride;
int imageLine = y * imageStride;
for (int x = 0; x < imageWidth; x++) {
imageBuffer.put(imageLine + x, data[dataLine + f * x]);
}
}
cvClearMemStorage(storage);
faces = cvHaarDetectObjects(grayImage, classifier, storage, 1.1, 3, CV_HAAR_DO_CANNY_PRUNING);
postInvalidate();
}
