环境:Ubuntu 、python3.6
1.安装
pip3 install dlib
2.测试
# _*_ coding:utf-8 _*_
import numpy as np
import cv2
import dlib
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor('/home/zhoujie/model/dlib_model/shape_predictor_68_face_landmarks.dat')
# cv2读取图像
img = cv2.imread("/home/zhoujie/摄像头/2019-03-31-203759.jpg")
# 取灰度
img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
# 人脸数rects
rects = detector(img_gray, 0)
for i in range(len(rects)):
landmarks = np.matrix([[p.x, p.y] for p in predictor(img, rects[i]).parts()])
for idx, point in enumerate(landmarks):
# 68点的坐标
pos = (point[0, 0], point[0, 1])
print(idx+1, pos)
# 利用cv2.circle给每个特征点画一个圈,共68个
cv2.circle(img, pos, 2, color=(0, 255, 0))
# 利用cv2.putText输出1-68
font = cv2.FONT_HERSHEY_SIMPLEX
cv2.putText(img, str(idx+1), pos, font, 0.8, (0, 0, 255), 1,cv2.LINE_AA)
cv2.namedWindow("img", 2)
cv2.imshow("img", img)
cv2.waitKey(0)
shape_predictor_68_face_landmarks.dat的下载可以看我的另外一篇博客:https://blog.youkuaiyun.com/qq_41261757/article/details/88936428