#include <opencv2\opencv.hpp>
using namespace cv;
void conv2(Mat src, int kernel_size)
{
    Mat dst, kernel;
    kernel = (Mat_<double>(3, 3) << 0.0102059, 0.115349, 0.135784, 0.1224548, 0.123354, 0.1665548, 0.155474, 0.1235547, 0.221468);
    //kernel = Mat::ones(kernel_size, kernel_size, CV_32F) / (float)(kernel_size*kernel_size);

    /// Apply filter
    filter2D(src, dst, -1, kernel, Point(-1, -1), 0, BORDER_DEFAULT);
    imshow("Filter2D", dst);
}
void conv3(Mat src, int Gaussian_kernel)
{
    Mat blur;
    GaussianBlur(src, blur, Size(Gaussian_kernel, Gaussian_kernel), 0, 0);
    imshow("GaussianFilter", blur);
}
int main()
{
    namedWindow("webcam", CV_WINDOW_AUTOSIZE);
    VideoCapture cap(0);
    Mat frame;

    if (!cap.isOpened()) return -1;
    double fps = cap.get(CV_CAP_PROP_FPS);
    int delay = 1000 / fps;
    while (true)
    {
        cap >> frame; //puede ser cp.read(frame);
        Mat src = frame;
        imshow("webcam", frame);
        conv2(frame, 7);
        conv3(frame, 3);
        //o waitKey(); para ir con cada tecla.
        //Aumenta el tamaño del Size y rompe al llegar a i == 51
        waitKey(10);
        if (waitKey(delay) == 27) break;
    }
    return 0;
}