kotlin opencvでkmeans

fun main() {

    val img = imread("yutaka.png", -1)
    val channels = MatVector()
    split(img, channels)
    val alpha = channels[3]

    val rgb_img = Mat()
    cvtColor(img, rgb_img, COLOR_BGRA2BGR)

    val samples = rgb_img.reshape(1, img.rows() * img.cols())
    val samples32f = Mat()
    samples.convertTo(samples32f, CV_32F)

    val labels = Mat()
    kmeans(samples32f, 5, labels, TermCriteria(CV_TERMCRIT_EPS + CV_TERMCRIT_ITER, 10, 1.0), 10, KMEANS_RANDOM_CENTERS)
    
    val buffer = labels.createBuffer<IntBuffer>()
    for (y in 0 until img.rows()) {
        for (x in 0 until img.cols()) {
            println(buffer[y * img.cols() + x])
        }
    }
}