p = "shape_predictor_68_face_landmarks.dat"
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(p)
cap = cv2.VideoCapture(0)
while True:
# Getting out image by webcam
_, image = cap.read()
# Converting the image to gray scale
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# Get faces into webcam's image
rects = detector(gray, 0)
# For each detected face, find the landmark.
for (i, rect) in enumerate(rects):
# Make the prediction and transfom it to numpy array
shape = predictor(gray, rect)
shape = face_utils.shape_to_np(shape)
# Draw on our image, all the finded cordinate points (x,y)
for (x, y) in shape:
cv2.circle(image, (x, y), 2, (0, 255, 0), -1)
# Show the image
cv2.imshow("Output", image)
k = cv2.waitKey(5) & 0xFF
if k == 27:
break
cv2.destroyAllWindows()
cap.release()
之後，運行腳本。
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