How to convert image to numpy array?

Question

Python

There is a very entertaining video about neural networks:
What is a neural network?
The author on this video shows a picture - this is an array of floating point numbers from 0 to 1:

I have such a picture: The

question is how can I convert it to the same array as the author in the video.
Here is the code

from PIL import Image
import numpy

def converting_image_to_array():
    image = Image.open("image.png")
    array = numpy.array(image)
    print(array)

def main():
    converting_image_to_array()

if __name__ == '__main__':
    main()

I don't know what to do next
PS picture 28x28 array should consist of 784 numbers from 0 to 1 grayscale

Answer 1

For example:

import numpy as np
import cv2

...
color_image = cv2.imread(FILE)
gray_image = cv2.cvtColor(color_image, cv2.COLOR_BGR2GRAY)

n_image = np.around(np.divide(gray_image, 255.0), decimals=1)

If you don't need to round, then ZY is enough. Didn't watch the video
np.divide(gray_image, 255.0)

Answer 2

Take OpenCV, read the image in Grayscale mode (to get an array of values ​​0-255) and divide by 255. To read in GS mode, simply set the numerical mode value to zero:
grayscale_image = cv2.imread(your_image, 0)

Answer 3

also very interesting