Cannot reshape numpy matrix

I try to convolve an image using the function convolve, which is written below (It's conv2d_fast from Python image convolution using NumPy only):

import numpy as np
from PIL import Image

def convolve(img, krn):
    is0, is1 = img.shape[0], img.shape[1]
    ks0, ks1 =  krn.shape[0], krn.shape[1]
    rs0, rs1 = is0 - ks0 + 1, is1 - ks1 + 1

    ix0 = np.arange(ks0)[:, None] + np.arange(rs0)[None, :]
    ix1 = np.arange(ks1)[:, None] + np.arange(rs1)[None, :]

    res = krn[:, None, :, None] * img[(ix0.ravel()[:, None], ix1.ravel()[None, :])].reshape(ks0, rs0, ks1, rs1)
    res = res.transpose(1, 3, 0, 2).reshape(rs0, rs1, -1).sum(axis = -1)

    return res

My code for image processing:

kernel = np.asarray([[1,1,1],[1,1,1],[0,1,1]])
in_image = Image.open('image.png')
numpydata = np.asarray(in_image)
array_img = convolve(numpydata ,kernel)

I was faced with the error: ValueError: cannot reshape array of size 29025144 into shape (3,673,3,1198)

I google it and find Cannot reshape array of size into shape

but in my case 29025144 divide by a whole for 3*673*3*1198 29025144 = 4 *(3*673*3*1198)

Can you help me, please)