67 lines
2.2 KiB
Python
67 lines
2.2 KiB
Python
import cv2
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import numpy as np
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import dlib
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import math
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cap=cv2.VideoCapture(0)
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detector=dlib.get_frontal_face_detector()
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predictor=dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
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while True:
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ret, frame=cap.read()
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gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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faces=detector(gray)
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if faces is not None:
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i=np.zeros(shape=(frame.shape), dtype=np.uint8)
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for face in faces:
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landmarks=predictor(gray, face)
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d_eyes=math.sqrt(math.pow(landmarks.part(36).x-landmarks.part(45).x, 2)+math.pow(landmarks.part(36).y-landmarks.part(45).y, 2))
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d1=math.sqrt(math.pow(landmarks.part(36).x-landmarks.part(30).x, 2)+math.pow(landmarks.part(36).y-landmarks.part(30).y, 2))
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d2=math.sqrt(math.pow(landmarks.part(45).x-landmarks.part(30).x, 2)+math.pow(landmarks.part(45).y-landmarks.part(30).y, 2))
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coeff=d1+d2
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a1=int(250*(landmarks.part(36).y-landmarks.part(45).y)/coeff)
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a2=int(250*(d1-d2)/coeff)
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cosb=min((math.pow(d2, 2)-math.pow(d1, 2)+math.pow(d_eyes, 2))/(2*d2*d_eyes), 1)
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a3=int(250*(d2*math.sin(math.acos(cosb))-coeff/4)/coeff)
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for n in range(0, 68):
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x=landmarks.part(n).x
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y=landmarks.part(n).y
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if n==30 or n==36 or n==45:
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cv2.circle(i, (x, y), 3, (255, 255, 0), -1)
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else:
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cv2.circle(i, (x, y), 3, (255, 0, 0), -1)
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print("{:+05d} {:+05d} {:+05d}".format(a1, a2, a3))
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flag=1
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txt="Laurent regarde "
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if a2<-40:
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txt+="a droite "
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flag=0
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if a2>40:
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txt+="a gauche "
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flag=0
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if a3<-10:
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txt+="en haut "
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flag=0
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if a3>10:
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txt+="en bas "
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flag=0
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if flag:
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txt+="la camera "
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if a1<-40:
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txt+="et incline la tete a gauche "
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if a1>40:
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txt+="et incline la tete a droite "
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cv2.putText(frame, txt, (10, 30), cv2.FONT_HERSHEY_PLAIN, 1.2, (255, 255, 255), 2)
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cv2.imshow("Frame", frame)
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key=cv2.waitKey(1)&0xFF
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if key==ord('q'):
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break
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cap.release()
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cv2.destroyAllWindows()
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