update lab 6

import matplotlib.pyplot as plt

from matplotlib import cm

import matplotlib.image as mplimg

from numba import njit,prange

import EE326_SUSTech as ee

import time

@njit(parallel=True)

def adaptive_11810818(input_image, n_size, smax):

    input_image = io.imread(input_image + ".tiff")

    output_image = np.zeros(input_image.shape, dtype=np.uint8)

    m, n = input_image.shape

    for i in range(m):

        for j in range(n):

    for i in prange(m):

        for j in prange(n):

            n_size_2 = n_size

            while True:

        , 3

        , 4

              ]:

        start_time = time.time()

        input_image = "Q6_1_" + str(i)

        output_name = "plots/" + str(input_image) + "_adaptive.png"

        input_image = io.imread(input_image + ".tiff")

        output_image = adaptive_11810818(input_image, 3, 20)

        print(time.time() - start_time)

        mplimg.imsave(output_name,

                      output_image,

                      cmap=cm.gray)