def kernel ( self , spread = 1 ) : # TODO: use self.kernel_type to choose function def gaussian ( data , pixel ) : return mvn . pdf ( data , mean = pixel , cov = spread ) return gaussian
python opencv getgaussian kernel
This will return whatever kind of kernel we want to use . Must have signature ( ndarray size NxM ndarray size 1xM ) - > ndarray size Nx1
def kernel(self, spread=1):
        """ This will return whatever kind of kernel we want to use.
            Must have signature (ndarray size NxM, ndarray size 1xM) -> ndarray size Nx1
        """
        # TODO: use self.kernel_type to choose function

        def gaussian(data, pixel):
            return mvn.pdf(data, mean=pixel, cov=spread)

        return gaussian