base64.h" namespace dlib { typedef object_detector<scan_fhog_pyramid<pyramid_down<6> > > frontal_face_detector; inline const std::string get_serialized_frontal_faces(); inline frontal_face_detector get_frontal_face_detector() { std::istringstream sin(get_serialized_frontal...
1)#print("Number of faces detected: {}".format(len(dets)))#查找脸部位置fori, faceinenumerate(dets):#print("Detection {}: Left: {} Top: {} Right: {} Bottom: {} ".format(#i, face.left(), face.top(), face.right(), face.bottom()))...
在编译完成开启gpu加速之后的dlib之后,可以写一个小demo体验一下gpu加速之后人脸检测的效果,这里我用女神黎姿的图像进行测试,图像大小788x394,包含三张人脸。使用dlib自带的卷积神经网络算法,并且用它已经训练好的训练模型(即mmod_human_face_detector.dat文件,如果没有训练模型请戳这里http://dlib.net/files/进行下...
Before proceeding with the tutorial, I want to point out that this post belongs to a series I have written on face processing. Some of the articles below are useful in understanding this post and others complement it.Facial Landmark Detection Face Swap Face Averaging Face MorphingWhat is pose...
#include "../base64.h" namespace dlib { typedef object_detector<scan_fhog_pyramid<pyramid_down<6> > > frontal_face_detector; inline const std::string get_serialized_frontal_faces(); inline frontal_face_detector get_frontal_face_detector() { std::istringstream sin(get_s...
Face Landmark Detection Face Recognition 2. 安装环境 Windows 10 64 位操作系统 Anaconda: 556361 Anaconda3-4.3.1-Windows-x86_64.exe Dlib:dlib-19.7.0-cp36-cp36m-win_amd64.whl pip:pip-18.0-py2.py3-none-any.whl (Dlib 和 pip 的 whl 上传到了我的 GitHub:https://github.com/coneypo/Dlib...