passport.py

import cv2
import numpy as np
from matplotlib import pyplot as plt
haar_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

img=cv2.imread('chasmis.jpg')
# img=cv2.imread('bacha.jpg')
faces=haar_cascade.detectMultiScale(img,1.1,9)
# img=cv2.resize(img,(850,1300))



for(x,y,w,h) in faces:
    
    print(x,y,w,h)
    # crop = img[y+5:y+h+5, x+5:x+w+5] 
    xcenter=x+w+x
    xcenter1=int(xcenter/2)
    ycenter=y+h+y
    ycenter2=int(ycenter/2)

    x1=int(xcenter1*0.70)
    x2=int(xcenter1*1.29)

    y1=int(ycenter2*0.38)
    y2=int(ycenter2*1.83)

    print(xcenter1,ycenter2)
    # print(xcenter1-110,ycenter2-110,xcenter1+110,ycenter2+150)

    # cv2.rectangle(img,(xcenter1-110,ycenter2-110),(xcenter1+110,ycenter2+150),(0,255,0),5)
    cv2.rectangle(img,(x1,y1),(x2,y2),(0,255,0),5)

    crop=img[y1:y2,x1:x2]


cv2.imwrite('passport2.jpg',img)
cv2.imwrite('passportcrop2.jpg',crop)
plt.imshow(img)
plt.imshow(crop)
plt.show()