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eye_face_detect.py
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eye_face_detect.py
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#Go to github opencv/data for haar casacades
import cv2
import numpy as np
face_cascade = cv2.CascadeClassifier('./haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('./haarcascade_eye.xml')
cap = cv2.VideoCapture(0)
while(True):
ret, img =cap.read()
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray, 1.3, 5)
for(x,y,w,h) in faces:
cv2.rectangle(img,(x,y),(x+w,y+h), (0,0,255),2)
roi_gray = gray[y:y+h, x:x+w]
roi_color = img[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(roi_gray)
for(ex,ey,ew,eh) in eyes:
cv2.rectangle(roi_color, (ex,ey), (ex+ew,ey+eh), (255,255,0),2)
#Print text on top of the face
cv2.putText(img,"Lord of the empire detected",(x-x//4,h),cv2.FONT_HERSHEY_SIMPLEX, .75, (255,255,255))
cv2.imshow('img',img)
k = cv2.waitKey(30) & 0xff
if k == 27:
break
cap.release()
cv2.destroyAllWindows()