import cv2

import numpy as np

# Cargar la imagen en formato de matriz

image = cv2.imread(image_path)

# Convertir a escala de grises para detectar daños

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

# Aplicar umbral para detectar las áreas dañadas (blancas)

_, mask = cv2.threshold(gray, 200, 255, cv2.THRESH_BINARY)

# Aplicar inpainting para restaurar las áreas dañadas

restored_image = cv2.inpaint(image, mask, inpaintRadius=3, flags=cv2.INPAINT_TELEA)

# Guardar la imagen restaurada

restored_image_path = "/mnt/data/restored_image.jpg"

cv2.imwrite(restored_image_path, restored_image)

# Mostrar la imagen restaurada

restored_image_path