树莓派上利用python+opencv+dlib实现嘴唇检测的实现(嘴唇检测)

1、安装相关库文件

这里需要用的库有opencv，numpy，dlib。

1.1 安装opencv

pip3 install opencv-python

1.2 安装numpy

树莓派中自带了numpy库

pip3 install numpy

1.3 安装dlib

在树莓派的系统里面安装dlib比较简单，只需要pip install就可以了，但是在window系统中会有报错，这个时候我们就需要安装pip install dlib-19.17.99-cp37-cp37m-win_amd64.whl就可以了, 需要注意的是： 不同的python版本要安装对应版本的dlib，也就是后面的“cp37-cp37m”，查看对应python能安装的版本号，可以使用命令行：pip debug --verbose，可以显示合适的安装版本号。
在树莓派上我安装了cmake和dlib

pip3 install cmake
pip3 install dlib

2、代码部分

dlib提取人脸特征中包含68个点

颚点= 0–16
右眉点= 17–21
左眉点= 22–26
鼻点= 27–35
右眼点= 36–41
左眼点= 42–47
口角= 48–60
嘴唇分数= 61–67

from gpiozero import LED
from time import sleep
from subprocess import check_call
import cv2
import numpy as np
import dlib
print(cv2.__version__)
def search_cap_num():
 for i in range(2000):
  cap = cv2.VideoCapture(i)
  cap_opened = cap.isOpened()
  if cap_opened == True:
return i
  
cap_num = search_cap_num()
cap = cv2.VideoCapture(cap_num)
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")
# 规定上嘴唇和下嘴唇连线的路径
lip_order_dlib = np.array([[48, 49, 50, 51, 52, 53, 54, 64, 63, 62, 61, 60, 48],[48, 59, 58, 57, 56, 55, 54, 64, 65, 66, 67, 60, 48]]) - 48
lip_order_num = lip_order_dlib.shape[1]
while 1:
 landmarks_lip = []
 ret, frame = cap.read()
 gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 rects = detector(gray, 1)
 print('faces number:' + str(len(rects)))
 for (i, rect) in enumerate(rects):
  # 标记人脸中的68个landmark点
  landmarks = predictor(gray, rect)  
  for n in range(48, 68):
x = landmarks.part(n).x
y = landmarks.part(n).y
landmarks_lip.append((x, y))
# cv2.circle(img=img, center=(x, y), radius=3, color=(0, 255, 0), thickness=-1)
  for m in range(lip_order_num-1):
cv2.line(frame, landmarks_lip[lip_order_dlib[0][m]], landmarks_lip[lip_order_dlib[0][m+1]], color=(0, 255, 0), thickness=2, lineType=8)
  for n in range(lip_order_num-1):
cv2.line(frame, landmarks_lip[lip_order_dlib[1][n]], landmarks_lip[lip_order_dlib[1][n+1]], color=(0, 255, 0), thickness=2, lineType=8)
 cv2.imshow("face", frame)
 if cv2.waitKey(1) & 0xff == ord('q'):
  break
cap.release()
cv2.destroyAllWindows()
# check_call(['sudo', 'poweroff'])