fun created

coder/image.py

@@ -3,6 +3,8 @@ 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)

coder/train.py

@@ -6,6 +6,8 @@ from sklearn.neural_network import MLPClassifier
 from sklearn.metrics import accuracy_score
 from PIL import Image
 
+
+def train():
     # recznie napisane cyfry
     digits = datasets.load_digits()