//GenderRecognition.cpp : 定义控制台应用程序的入口点。//#include"stdafx.h"#include<opencv2\opencv.hpp>#include<iostream>#include<sstream>#include<fstream>usingnamespacestd;usingnamespacecv;voidread_csv(string& fileName,vector<Mat>& images,vector<int>& labels,charseparator =';') { ifstream fil...
https://gitee.com/HuaweiAtlas/FaceRecognition 1. 依赖 项目需要ffmpeg,opencv,gflags。直接按照项目的说明进行编译 一个海康摄像头(用rtsp流作为输入) easydarwin rtsp流媒体服务器 2. 测试 2.1 编译 到build文件夹下去编译 cd $project/build/ bash ./build_atlas500.sh 1. 2. 2.2 修改setup.config 编译之后...
因为要做人脸识别的项目,所以需要配置相对应的环境和库,常用深度学习的数值计算库为tensorflow、pytorch,常用的人脸识别库为face_recognition,常用的图像处理库opencv。 下图为使用库识别后的效果。 因为本地环境为Mac,服务器环境为Linux,为了方便调试和部署,于是在...
face-recognition.js:简单的Node.js API用于强健的人脸检测和人脸识别 C/C 开发-机器学习2019-08-16 上传大小:4.00MB 所需:10积分/C币 cpp-libuhttp一个用于嵌入式Linux非常小巧快速的HTTP库 一个用于嵌入式Linux基于libev和http-parser的非常小巧,快速的HTTP库 ...
face-recognition==1.4.0 然后执行pip3 download -r requirement.txt 就会下载该项目的所需依赖。 ps:如果要下载当前机器的所有已安装的包,执行pip3 freeze > requirement.txt再执行下载命令即可。 5.2 在内网机器安装所需的其他依赖 将下载后得到的那些whl文件和tar文件传到内网机器,whl直接pip3 install xxx.whl安...
1. 安装face_recognition 1.1 安装dlib 1) 安装开发环境 [root@localhost ~]# yum update [root@localhost ~]#yum groupinstall "Development Tools" 2) 安装OpenCV [root@localhost ~]# yum install cmake python-devel numpy gcc gcc-c++ gtk2-devel libdc1394-devel libv4l-devel ffmpeg-devel gstreamer-...
FaceRecognitionOrg/SeetaFace2Public forked fromseetafaceengine/SeetaFace2 NotificationsYou must be signed in to change notification settings Fork1 Star0 master BranchesTags Code README License SeetaFace2 中文English 1. 简介 SeetaFace2人脸识别引擎包括了搭建一套全自动人脸识别系统所需的三个核心模块,即:人脸...
Skin Detection Rough Non-face Rejection Library Description File Formats Some Results Points of Interest Updates Introduction The first step to intelligent image/video processing for face recognition in uncontrolled scenery with complex backgrounds (outdoor environments, airports, train/bus stations) is fac...
biden_image = face_recognition.load_image_file("biden.jpg") biden_face_encoding = face_recognition.face_encodings(biden_image)[0] # Create arrays of known face encodings and their names known_face_encodings = [obama_face_encoding, biden_face_encoding] known_face_names = ["Barack Obama","...
Step 5: Paste the Following Code to the .cpp File You Added in Step 4. Step 6: Debug Your Project References: Introduction¶ In this article, you will learn an easy way to utilize face-recognition software by using OpenCV. OpenCV (Open Source Computer Vision) is released under a...