Correct the algorithm of image filter code

[saoko]

Hi everyone. I'm new in python. Now I'm trying to write an image filter, according to the next algorithm:


i is a row, j is a column, m(i,j) is a pixel, s(i,j) is a sum of pixels, max(m(i,j)) is a max pixel in a row, k is a coefficient (0.7), m is an array of RGB average.

Before using this algorithm I firstly need to convert the image to grayscale. Here a code in python:

import cv2
import numpy as np
import matplotlib.pyplot as plt

img_path = 'image.jpg'

img = cv2.imread(img_path)
imgshape = img.shape

fix_img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)

R, G, B = fix_img[:,:,0], fix_img[:,:,1], fix_img[:,:,2]

grayscale_img = np.mean(fix_img, axis=2)

s = np.array([0][0])
b = np.ones(imgshape[:2])
k = 0.7
rows, cols = imgshape[:2] #(192, 184, 3)

s = np.array([0][0])
b = np.ones(imgshape[:2])
k = 0.7
rows, cols = imgshape[:2] #(192, 184, 3)

for j in range(grayscale_img.shape[1]):
    for i in range(grayscale_img.shape[0]):
        max = np.amax(grayscale_img, axis=1)[j]
        m = grayscale_img[j,i]
        s[j,i] = s[j,i] + m
        if s[j,i] >= (k*max):
            s[j,i] = s[j,i] - (k*max)
            s[j,i] = s[j,i] + m
            b[j,i] = 1
        else: 
            s[j,i] = s[j,i] + m
            b[j,i] = 0
cv2.waitKey()
cv2.destroyAllWindows()

While running this code I get the error in line 30

IndexError: too many indices for array: array is 0-dimensional, but 2 were indexed

What is the reason of an error. Could you please help to correct this code?
Thanks!

Here's an example of image filter work: