Mikhlev nikita

filter.py

@@ -1,28 +1,33 @@
 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 calculate_gray_cell(row, column):
+    mosaic = pixels_matrix[row:min(row + cell_size, rows_count), column:min(column + cell_size, columns_count)]
+    return int((np.sum(mosaic) // 3) // (cell_size ** 2))
+
+
+def set_gray_in_cell(row, column):
+    mosaic = pixels_matrix[row:min(row + cell_size, rows_count), column:min(column + cell_size, columns_count)]
+    np.place(mosaic[:, ], mosaic >= 0, int(gray // gradation) * gradation)
+
+
+input_data = input("Enter cell size and gradation\n").split()
+image = Image.open(input("Enter source file name\n"))
+result = input("Enter result file name\n")
+cell_size = int(input_data[0])
+gradation = 255 // int(input_data[1])
+pixels_matrix = np.array(image)
+rows_count = len(pixels_matrix)
+columns_count = len(pixels_matrix[1])
+
+current_row = 0
+while current_row < rows_count:
+    current_column = 0
+    while current_column < columns_count:
+        gray = calculate_gray_cell(current_row, current_column)
+        set_gray_in_cell(current_row, current_column)
+        current_column = current_column + cell_size
+    current_row = current_row + cell_size
+
+Image.fromarray(pixels_matrix).save(f"{result}")