AL-2020/coder/image.py

import numpy as np
from PIL import Image
import matplotlib.pyplot as plt
import cv2


def image():
    img = cv2.cvtColor(cv2.imread('test.jpg'), cv2.COLOR_BGR2GRAY)
    img = cv2.GaussianBlur(img, (15, 15), 0)  # poprawia jakosc
    img = cv2.resize(img, (8, 8), interpolation=cv2.INTER_AREA)

    print(type(img))
    print(img.shape)
    print(img)
    plt.imshow(img, cmap='binary')
    plt.show()

    data = []

    rows, cols = img.shape
    for i in range(rows):
        for j in range(cols):
            k = img[i, j]
            if k > 200:
                k = 0  # brak czarnego
            else:
                k = 1

            data.append(k)

    print(data)