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face.py
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face.py
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import numpy as np
import cv2
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
smile_cascade = cv2.CascadeClassifier('haarcascade_smile.xml')
cap = cv2.VideoCapture(0)
while True:
ret, image = cap.read()
#cv2.imshow("photo",img)
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray,
scaleFactor=1.3,
minNeighbors=5
)
for (x,y,w,h) in faces:
cv2.rectangle(image,(x,y),(x+w,y+h),(255,0,0),2)
subgray=gray[y:y+h, x:x+w]
subface=image[y:y+h, x:x+w]
eyes = eye_cascade.detectMultiScale(subgray)
for (ex,ey,ew,eh) in eyes:
cv2.rectangle(subface,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
smiles = smile_cascade.detectMultiScale(subgray)
for (ex,ey,ew,eh) in smiles:
cv2.rectangle(subface,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.imshow('face',image)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
cap.release()
cv2.destroyAllWindows()