基于python3.7 dlib的下载
pip install dlib-19.17.99-cp37-cp37m-win_amd64.whl
链接：https://pan.baidu.com/s/1L1D47-3gFyS_8dMXQm3S4A
提取码：nrz3
人脸68个特征点检测数据库
shape_predictor_68_face_landmarks.dat
链接：https://pan.baidu.com/s/1saj_ViI7jIP1PYp0KA9big
提取码：o5v3
import numpy as np
import cv2
import dlib
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor("data/shape_predictor_68_face_landmarks.dat")
# cv2读取图像
img = cv2.imread("img/nishino.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])
# 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), None, font, 0.8, (0, 0, 255), 1, cv2.LINE_AA)
cv2.namedWindow("img", 2)
cv2.imshow("img", img)
cv2.waitKey(0)
运行结果
参考：https://blog.csdn.net/qq_41261757/article/details/88936428
作者：qq_35482604
