首先安装环境:
首先安装CMake:pip install CMake
安装dlib: pip install dlib(安装失败,但是标注版本安装成功pip install dlib==19.6.1)
安装CV2:pip install opencv-python
人脸检测 + 标注
利用Dlib官方训练好的模型“shape_predictor_68_face_landmarks.dat”进行68点标定,利用OpenCv进行图像化处理,在人脸上画出68个点,并标明序号;68点标定+opencv绘点
模型:http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2
网盘链接https://pan.baidu.com/s/1qjp1tNEqm-0fJCKfqeBK-Q 密码:awdf
源码:
import dlib
import cv2
detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor(‘model/shape_predictor_68_face_landmarks.dat’)
img = cv2.imread(“picture/demo2.JPG”)
dets = detector(img, 1)
for k, d in enumerate(dets):
print(“dets{}”.format(d))
print(“Detection {}: Left: {} Top: {} Right: {} Bottom: {}”.format(
k, d.left(), d.top(), d.right(), d.bottom()))
# 使用predictor进行人脸关键点识别 shape为返回的结果
shape = pre