Starikova Sofia

filter.py

@@ -1,28 +1,34 @@
 from PIL import Image
 import numpy as np
-img = Image.open("img2.jpg")
-arr = np.array(img)
-a = len(arr)
-a1 = len(arr[1])
-i = 0
-while i < a - 11:
-    j = 0
-    while j < a1 - 11:
-        s = 0
-        for n in range(i, i + 10):
-            for n1 in range(j, j + 10):
-                n1 = arr[n][n1][0]
-                n2 = arr[n][n1][1]
-                n3 = arr[n][n1][2]
-                M = n1 + n2 + n3
-                s += M
-        s = int(s // 100)
-        for n in range(i, i + 10):
-            for n1 in range(j, j + 10):
-                arr[n][n1][0] = int(s // 50) * 50
-                arr[n][n1][1] = int(s // 50) * 50
-                arr[n][n1][2] = int(s // 50) * 50
-        j = j + 10
-    i = i + 10
-res = Image.fromarray(arr)
-res.save('res.jpg')
+def get_pixel(i, j):
+    sum = np.sum(arr[i:i + pxSize, j: j + pxSize]) / 3
+    return int(sum // (pxSize * pxSize))
+
+
+def set_grey_pixels(colorSum, i, j):
+    arr[i:i + pxSize, j:j + pxSize, 0] = int(colorSum // gradation) * gradation
+    arr[i:i + pxSize, j:j + pxSize, 1] = int(colorSum // gradation) * gradation
+    arr[i:i + pxSize, j:j + pxSize, 2] = int(colorSum // gradation) * gradation
+def img2pixel(original, result):
+    global arr
+    global gradation
+    global pxSize
+    img = Image.open(original)
+    arr = np.array(img)
+    height = len(arr)
+    width = len(arr[1])
+    i = 0
+
+    gradation = int(input('Введите градацию серого: '))
+    pxSize = int(input('Введите размер мазайки: '))
+    while i < height:
+        j = 0
+        while j < width:
+            s = get_pixel(i, j)
+            set_grey_pixels(s, i, j)
+            j = j + pxSize
+        i = i + pxSize
+    res = Image.fromarray(arr)
+    res.save(result)
+
+img2pixel(input("Название оригинала: "), input("Название копии: "))