lab_1 (background) WNO

import os, sys, glob
import cv2
import imutils
import numpy as np

def get_pattern(image, contours_array):

    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    mask = np.zeros_like(gray)

    best_contour = sorted(contours_array, key=cv2.contourArea, reverse=True)[0]
    cv2.fillConvexPoly(mask, best_contour, 255)

    patt = np.zeros_like(image)
    patt[mask == 255] = image[mask == 255]

    (y, x) = np.where(mask == 255)
    (y_min, x_min) = (np.min(y), np.min(x))
    (y_max, x_max) = (np.max(y), np.max(x))
    pattern = patt[y_min:y_max + 1, x_min:x_max + 1]
    h,w,_ = pattern.shape
    if h > w:
        patt = imutils.rotate_bound(patt, 90)
    print(h,w)
    return patt

path = input("Path to folder: ")
#path = "C:/Users/jesch/Desktop/test"

if path.__len__() == 0:
    path = os.path.dirname(os.path.abspath(__file__))

dirs = os.listdir(path)

backSub = cv2.createBackgroundSubtractorMOG2()

for item in dirs:
    if item.endswith('.jpg') or item.endswith('.JPEG') or item.endswith('.jpeg') or item.endswith('.png') or item.endswith('.bmp'):

        image = cv2.imread(path +'/'+ item)
        image_gray = cv2.imread(path +'/'+ item,0)

        kernel = np.ones((1, 1), np.uint8)
        image_gray = cv2.morphologyEx(image_gray, cv2.MORPH_CLOSE, kernel)

        smoothed = cv2.bilateralFilter(image_gray, 7, 50, 50)
        canny = cv2.Canny(smoothed, 10, 20)

        contour, hierarchy = cv2.findContours(canny, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

        cropped = get_pattern(image, contour)

        hi,wi,_ = cropped.shape

        if hi > wi:
            if hi > 800:
                cropped = imutils.resize(cropped, height= 800)
        else:
            if wi > 1800:
                cropped = imutils.resize(cropped, height= 1800)


        #cv2.drawContours(image, contour, -1, (0, 255, 0), -1)

        '''cv2.imshow('image', image)
        cv2.imshow('image3', canny)'''
        #cv2.namedWindow("image4", cv2.WINDOW_NORMAL)
        cv2.imshow('image4', cropped)
        cv2.waitKey(0)
        cv2.destroyAllWindows()