Lab 5 update

def generating_from_spatial_filter(input_filter, P, Q):

    output_filter = np.zeros(P, Q)

    return output_filter

def gaussian_filter(shape, sigma):

    x, y = [edge /2 for edge in shape]

    grid = np.array([[((i**2+j**2)/(2.0*sigma**2)) for i in range(-x, x+1)] for j in range(-y, y+1)])

    g_filter = np.exp(-grid)/(2*np.pi*sigma**2)

    g_filter /= np.sum(g_filter)

    return g_filter

if __name__ == '__main__':

    test_input = np.array([[1, 2, 3], [1, 2, 3]])