simple.py

import cv2
import os
import re
import numpy as np
import glob
import random
#import matplotlib
#import matplotlib.pyplot as plt
#extensions = ("*.png","*.jpg","*.jpeg",)
path = "static/Masks"
direct = "static/Inpainting-Simple" 

portion_size=(64,64,3)   #size of the patch taken
count = 0
#read the complete directory of image
#images = glob.glob(os.path.join(direct, '*.jpg'))
images = glob.glob(os.path.join(direct, '*.jpg'))
print(images) 
for i in images:
    print(i)
    count += 1
    img=cv2.imread(i,cv2.IMREAD_COLOR) #read colored image
    img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)  #convert that image
    rgb_image = img.copy()
    image_size=img.shape
    print(img.shape)
    #creating rectangular masks out of the sample images
    x1 = random.randint(0,image_size[0]-portion_size[0]-1)
    y1 = random.randint(0,image_size[1]-portion_size[1]-1)
    x2, y2 = x1+portion_size[0]-1, y1+portion_size[1]-1
    x2, y2 = x1+portion_size[0]-1, y1+portion_size[1]-1
    img[x1:x2,y1:y2]=[255,255,255]  #assigning the values to black
    difference = img - rgb_image
    difference[x1:x2,y1:y2]=[255,255,255]
    cv2.imread("difference")
    difference = cv2.cvtColor(difference,cv2.COLOR_RGB2GRAY)
    dst = cv2.inpaint(rgb_image,difference,3,cv2.INPAINT_TELEA)
    cv2.imwrite(os.path.join(path,i.split("\\",1)[1]),cv2.cvtColor(dst, cv2.COLOR_RGB2BGR))
    #scv2.waitKey(0)
    cv2.destroyAllWindows()