技术标签: 机器学习 DeepMask facebook 脸部识别 deepmind
以色列公司,某年六月时被Facebook收购,同时暂停了API服务,之前测试过他们的服务,基本上是了解到的应用中做得最牛的了。
Orbeus由麻省理工学院和波士顿大学的几个科学家联合创立,他们致力于让Orbeus实现能从照片或视频中识别出所有内容。
测试:结果同样非常另人满意!
Face++.com 是一个提供免费人脸检测、人脸识别、人脸属性分析等服务的云端服务平台。Face++是北京旷视科技有限公司旗下的全新人脸技术云平台,在黑马大赛中,Face++获得年度总冠军,已获得联想之星投资。
测试:在国内公开的此类服务中属佼佼者!
测试:结果也相当不错!
5、Luxand
测试:结果一般,就不图了!
6、lambdal
8、Facedetection 列出的SDK list:
CompanySDKOnline DocumentationTechnology
------------------------------------------------------------------------------------------------
- Face Recognition - Stephen here from Lambda Labs. For sample code and a graphical demo, check out Lambda Labs Face Recognition API βeta. Our API provides face recognition, facial detection, eye position, nose position, mouth position, and gender classification. If you have any questions ask! Just send an email to [email protected]. Happy Hacking! -Stephen
- Face (Detection) - A computer vision api for facial recognition and facial detection that is a perfect Face.com | Coming Soon replacement. We currently have a free api for face detection.
- Animetrics Face Recognition - The Animetrics Face Recognition API can be used to detect human faces in pictures. Information on facial features or "landmarks" is returned as coordinates on the image.. Animetrics Face Recognition will also detect and return the orientation, or "pose" of faces along 3 axes.
- Skybiometry Face Detection and Recognition - An easy to use Face Detection and Recognition API. You must have an application created in your account at SkyBiometry to use it (sign up at if you don't have account yet).
- ImageVision Face Detection - Beta Release A better Face detection service! ImageVision is a computer vision company improving technology that determines the locations and sizes of human faces in arbitrary (digital) images.
- Face++ - Face++ uses the cutting-edge technology of computer vision and data mining to provide 3 core vision services (Detection, Recognition, and Analysis). With the service and huge database of celebrity from Face++, the developers can apply the face technology into their own websites, mobile Apps, and smart TVs, increasing incredible user experience
- FaceMark - FaceMark is a powerful API for facial feature detection. It finds 68 points for a frontal face and 35 for a profile one. FaceMark detects landmarks for faces on the image specified by URL or uploaded as a file and produces JSON output containing a vector of facial landmarks and orientation for each face found.
- EmoVu by Eyeris - Artificially Intelligent emotion recognition software that allows cameras to “look back” and read people’s facial micro-expressions, gender and age group in real time as they watch videos on their computers or mobile devices.
- Face and scene recognition by http://Rekognition.com - Face.com | Coming Soon alternative! Our fast, robust and scalable rekognition engine can do facial detection, crawling, recognition, scene understanding! It can be automatically trained using images and tags on Facebook!
- FaceRect - FaceRect is a powerful and free API for face detection. It finds faces (both frontal and profile) on the image specified by URL or uploaded as a file and is able to find multiple faces on a single photo, producing JSON output with a bounding box for each face found.
- Infatics Face Detection - Simple face detection API
- OpenCV Face Recognizer - OpenCV (Open Source Computer Vision Library: OpenCV | OpenCV) is an open-source BSD-licensed library that includes several hundreds of computer vision algorithms.
- Libface - Libface is a library aimed at bringing face recognition technology to the open source community. It is written in C++ and maintained on Sourceforge. The library uses OpenCV 2.0 and aims to be a middleware for developers that don’t have to include any OpenCV code in order to use face recognition and face detection detection.
- Automatic naming of characters in video - The objective of this work is to label television or movie footage with the names of the people present in each frame of the video.
- CCV - a modern computer vision library
- OpenBR - Open Source Biometric Recognition
- Flandmark - open source implementation of facial landmark detector
- Computer Expression Recognition Toolbox (CERT) - an end-to-end system for fully automated facial expression recognition that operates in real-time.
- Nviso 3D facial imaging technology - Analyze human emotions from facial expressions. More direct and automatic than by any other method.
- FaceReader - FaceReader is the world's first tool that is capable of automatically analyzing facial expressions, providing users with an objective assessment of a person’s emotion.
- Affdex - Affdex reads emotional states such as liking and attention from facial expressions using a webcam... to give marketers faster, more accurate insight into consumer response to brands and media.
- Faceware - Analyzer takes in a video of an actor’s facial performance and produces an .IMPD file for use in Retargeter. It accomplishes this through the combination of simple user input on the front end, and complex computer vision algorithms on the back end.
- Face detection in iOS
- Face-Recognition-SDK - add face recognition to your apps
- Oddcast face detection API - The Face Tracking API allows Flash developers to harness advanced technology previously available only in high end video games.
- BioID - world's first webcam-based personal recognition
- Betaface API - face detection and recognition
- Discrete Area Filters Face Detector - detect 15 face points, 4 face parts, multiple face, occluded faces
- Face detection using Support Vector Machine - this program is the clone of 'Face Detection System' in MATLAB but instead of Neural Networks, it is based on SVM.
- fdlib - is a face detection library for C/C++ and Matlab. It allows you to detect frontal faces in images.
- Visage - a human computer interface that aims to replace the traditional mouse with the face. Using a webcam and Visage the movement of the face becomes the movement of the mouse pointer. Left/right Eye blinks fire left/right mouse click events.
- Face tracking Project (Carnegie Mellon) - the Advanced Multiple Processing (AMP) offers face tracking using color matching combined with deformable templates. Both DLL for Windows and static library for Linux
- Real-time face detection program - Demo from the Fraunhofer institute IIS, Germany. Shows face tracking and detection using edge orientation matching.
- Evaluation of Face Recognition Algorithms - Resource for all researchers developing face recognition algorithms from Colorado State University. It provides a standard set of well known algorithms and established experimental protocols.
- Computer Vision Source Code - useful collection of image processing code
- Acsys biometrics SDK - allows third-party developers to implement advanced facial biometric technology with their own security applications
- Cognitec SDK - develops market-leading face recognition technologies and applications for enterprise and government customers around the world.
- KeyLemonFaceSDK - integrates recognition technology into major operating systems.
- FaceIT SDK -
- FaceSDK - FaceSDK enables Microsoft Visual C++, C#, VB, Java, and Delphi developers to build 32-bit and 64-bit applications for Web, Windows, Linux, and MacOS X with face recognition and face-based biometric identification functionality
- Verilook SDK - allows rapid development of biometric applications using functions from the VeriLook algorithm that ensure fast and reliable face identification.
- Beyond Reality Face SDK - calculates the position and 3D angles of a face in a single picture of a webcam stream. This information can be used to place 3D objects onto the image or to control an app via head movements
- Sightcorp - cutting edge face analysis technologies, targeting individual or crowd analysis
- Visage FaceDetect SDK - contains powerful techniques to find faces and facial features in still images in form of a well-documented C++ Software Development Kit
- Microsoft Research Face SDK Beta - integrates the latest face technologies from Microsoft research teams.
- How To: Kinect for Windows SDK Face Recognition
- Bayometric FaceIt Face Recognition SDK - combines traditional facial geometry techniques with skin biometrics
- FacePhi FaceRecognition SDK - consists of a set of libraries developerd for .NET and Silverlight
- 360Biometrics Face SDK - highly advanced face recognition system that is designed to work with the embedded or linked face images in your existing database.
- Hunter TrueID - web-enabled face recognition
- IMRSV - a real world, real time perceptive computing software that measures gender, age, attention time, dwell, glances and more for up to 25 people, 25 ft away using a basic webcam. It has a REST API as well.
- Bob - Bob is a signal-processing and machine learning toolbox originally developed by the Biometrics Group at Idiap, in Switzerland. Bob is primarily developed through GitHub.
- KeyLemon - KeyLemon provides a new way to access your computer. Instead of typing your password, you just need to smile to the webcam and KeyLemon will recognize you
- Flash AS3 face detection and recognition library - Oskar Wicha’s ActionScript 3 library allow us to do both things using Eigenfacesconcept, basically some patterns which should match a human face.
- Stupeflix - Return an array of positions of detected faces, with type and confidence.
#include #include #include int main(int argc, char *argv[]){ struct stat filestat; char cmd[16]; char *ptrpid = cmd + 6; pid_t pid; pid = getpid(); sprintf(cmd, "touch %d", pid); if (lst
转自:https://www.jianshu.com/p/2a7acb07b352一. 在宿主机创建目录无需指定特殊权限mkdir /opt/docker/gogs/二. 运行容器在此之前,先在mysql中创建gogs数据库. [注意,一定要先将mysql数据库的默认字符编码设置为utf8, 否则, gogs在自动创建表时, 会出现问题]docker run -d -p 10022:2...
针对传统数字视频广播系统码流分析仪价格昂贵、使用不方便的问题,本文提出一种性价比较好的补充设计方案,它以通用的FPGA和RTOS为基础、基于嵌入式硬件平台来实现码流分析功能。文中还阐述了码流采集、码流分析和信息显示等多项关键技术。 码流分析仪可用作数字电视设备的调试工具,如检测MPEG编码器、复用器、调制解调器等设备的输入输出码流是否符合MPEG-2/数字电视广播(DVB)标准等。作为标
根据这篇文章https://www.cnblogs.com/ceshi2016/p/6077111.html知道:以 -X 开头的参数是和实现有关的,并不是适用于所有的 VMs,对于 -Xms 和 -Xmx 其含义为: -Xms:minimummemorysize for pileand heap -Xmx:maximum memory size for pile and heap 2. 对于具体含义的猜测: 最开始只有 -Xms 的参数,表示 `初始` mem...
Bert模型学习之环境配置(二)一、Python双版本的安装与环境配置1、下载地址:Download Python。首先提醒大家,tensorflow只能安装在 3.5-3.7版本的64位python上,切记。下载Python3.5版本,如Python 2.5.4:2.pip3报错:ModuleNotFoundError: No module named ‘pip._vendor.urllib3’(1)删除pip文件夹:进入python下pip的安装目录,比如这里我的目录是:“D:\python
当编译linux的时候,运行make uImage,如果一切正常,最后会生成uImage。如下具体讲解uImage生成过程:1. 生成uImag的工具mkimage由arch/arm/boot/Makefile中的MKIMAGE定义.Linux commit: e33936451 已经将此代码移到:scripts/Makefile.lib>.[c-sharp] view
安装过程有一些注意事项,否则无法安装成功,我的notepad++版本为7.7.1,32位。(32位亲测可以,64位不知道)主要参考notepad++社区里面提供的安装教程https://notepad-plus-plus.org/community/topic/17366/how-to-install-emmet-plugin/2...
Ansys twin builder如何用Simulink生成的FMU模型文件进行仿真项目场景:simulink仿真功能强大,可以满足我们很多的仿真需求,要将simulink中生成的组件导入到其他的软件当中(如Ansys twin builder),可以通过FMU来实现。本文演示如何通过simulink生成FMU文件并在Ansys twin builder中进行仿真。问题描述:主要问题:1.如何通过simulink生成FMU文件。2.simulink和twin builder中如何配置。解决方
Pixhawk是一款由PX4开源项目设计并由3DR公司制造生产的高级自动驾驶仪系统。其前身是APM,由于APM的处理器已经接近满负荷,没有办法满足更复杂的运算处理,所以硬件厂商采用了目前最新标准的32位ARM处理器,它采用了ST Microelectronic先进的处理器及传感器技术且搭载了NuttX的实时操作系统,在模型自动控制方面有着出色的性能、灵活性和可靠性。
点击上方好好学java,选择星标公众号重磅资讯、干货,第一时间送达今日推荐:干掉 Navicat:这个 IDEA 的兄弟真香!个人原创100W+访问量博客:点击前往,查看更多...
上传图片预览这个出自超实用的js代码段,关于图片的处理那一章,php后台接收是网上比较少这方面的资源或者写得很复杂,这里简单记录。都是基于js首先先调用两个文件夹animateManage.js和viewimg.js,可以在网上下载。相当好用。关键点是FileReader这个知识点,可以读取文件的相关信息,包括路径。这是个关键点。 /*
本帖最后由 DevOps 于 2020-6-27 01:27 编辑根据目前宝塔7.3新版本提供的面板编译便捷页面来编译Nginx-rtmp-module模块安装Nginx的方法,目前全网没有看到谁提供教程,特发一教程。一、编译Nginx-rtmp-module模块环境第一步,登录面板——软件商店——运行环境——Nginx——安装QQ截图20200627010509.png (51.55 KB, 下...