36 lines
1.1 KiB
Python
36 lines
1.1 KiB
Python
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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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tickmark=cv2.getTickCount()
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gray=cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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faces=detector(gray)
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for face in faces:
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landmarks=predictor(gray, face)
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i=np.zeros(shape=(frame.shape), dtype=np.uint8)
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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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cv2.circle(frame, (x, y), 3, (255, 0, 0), -1)
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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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cv2.imshow("i", i)
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fps=cv2.getTickFrequency()/(cv2.getTickCount()-tickmark)
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cv2.putText(frame, "FPS: {:05.2f}".format(fps), (10, 30), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 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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