[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

computer_vision/gaussian_blur.py

@@ -1,28 +1,30 @@
 import math
 import copy
-'''Mean thresholding algorithm for image processing  
+
+"""Mean thresholding algorithm for image processing
 [More info on Wikipedia](https://en.wikipedia.org/wiki/Thresholding_(image_processing))
-'''
+"""
 # Imagen de ejemplo: matriz 5x5
 image = [
     [10, 20, 30, 40, 50],
     [20, 30, 40, 50, 60],
     [30, 40, 50, 60, 70],
     [40, 50, 60, 70, 80],
-    [50, 60, 70, 80, 90]
+    [50, 60, 70, 80, 90],
 ]
 
+
 def gaussian_kernel(size, sigma=1):
     """Genera un kernel gaussiano de tamaño 'size' y desviación 'sigma'"""
-    kernel = [[0]*size for _ in range(size)]
+    kernel = [[0] * size for _ in range(size)]
     center = size // 2
     s = 2 * sigma * sigma
     sum_val = 0
 
     for i in range(size):
         for j in range(size):
             x, y = i - center, j - center
-            kernel[i][j] = math.exp(-(x*x + y*y)/s)
+            kernel[i][j] = math.exp(-(x * x + y * y) / s)
             sum_val += kernel[i][j]
 
     # Normalizar
@@ -32,6 +34,7 @@ def gaussian_kernel(size, sigma=1):
 
     return kernel
 
+
 def apply_gaussian_blur(image, kernel):
     """Aplica el blur gaussiano a una imagen"""
     height = len(image)
@@ -52,6 +55,7 @@ def apply_gaussian_blur(image, kernel):
             new_image[i][j] = int(val)
     return new_image
 
+
 kernel = gaussian_kernel(3, sigma=1)
 blurred_image = apply_gaussian_blur(image, kernel)