How to convert Python code into Matlab?

Hello!

I need to convert Pyton code into Matlab, can you help me, please?

import cv2

import numpy as np

import os

import shutil

def pupil_detect(eyeArr):

rows, cols, _ = eyeArr.shape

gray_eye = cv2.cvtColor(eyeArr, cv2.COLOR_BGR2GRAY)

gray_eye = cv2.GaussianBlur(gray_eye, (9, 9), 0)

gray_eye = cv2.medianBlur(gray_eye, 3)

threshold = cv2.threshold(gray_eye, 25, 255, cv2.THRESH_BINARY_INV)[1]

contours = cv2.findContours(threshold, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)[1]

contours = sorted(contours, key=lambda x: cv2.contourArea(x), reverse=True)

for cnt in contours:

(x, y, w, h) = cv2.boundingRect(cnt)

cv2.circle(eyeArr, (x + int(w/2), y + int(h/2)), int((h)/3), (0, 0, 255), 3)

cv2.line(eyeArr, (x + int(w/2), 0), (x + int(w/2), rows), (0, 255, 0), 2)

cv2.line(eyeArr, (0, y + int(h/2)), (cols , y + int(h/2)), (0, 255, 0), 2)

break

cv2.imwrite(out_dir + 'res_' + f, eyeArr)

return eyeArr

input_dir = './samples/'

out_dir = './result/'

files = [file for file in os.listdir(input_dir) if file.endswith(".jpg")]

if os.path.exists(input_dir + "result") and os.path.isdir(input_dir + "result"):

shutil.rmtree(input_dir + "result")

if not os.path.exists(input_dir + "result"):

os.mkdir(input_dir + "result")

count = 1

for f in files:

print("Processing file: ", f)

pupil_detect(cv2.imread(input_dir + str(f)))

count += 1

print("----------Processing Done------------")