SFD - S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017

  •        14

S³FD is a real-time face detector, which performs superiorly on various scales of faces with a single deep neural network, especially for small faces. For more details, please refer to our arXiv paper. Download our trained model from GoogleDrive or BaiduYun, and merge it with the folder $SFD_ROOT/models.




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Face detector is a face detection Android library which can be easily plugged into any camera API (given it provides a way to process its frames). Face detector is built on top of Firebase ML Kit's face detection API.

tiny - Tiny Face Detector, CVPR 2017

  •    Matlab

By Peiyun Hu and Deva Ramanan at Carnegie Mellon University. Tiny Face Detector was initially described in an arXiv tech report.

lbpcascade_animeface - A Face detector for anime/manga using OpenCV


The face detector for anime/manga using OpenCV. Download and place the cascade file into your project directory.

PCN - Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018

  •    C++

Progressive Calibration Networks (PCN) is an accurate rotation-invariant face detector running at real-time speed on CPU. This is a binary library for PCN (the networks in FastPCN is smaller than PCN). In this implementation, we don't use network quantization or compression, and the program runs on CPU with a single thread. PCN is designed aiming for low time-cost. We compare PCN's speed with other rotation-invariant face detectors' on standard VGA images(640x480) with 40x40 minimum face size. The detectors run on a desktop computer with 3.4GHz CPU, GTX Titan X. The speed results together with the recall rate at 100 false positives on multi-oriented FDDB are shown in the following table. Detailed experiment settings can be found in our paper.

face-alignment - :fire: 2D and 3D Face alignment library build using pytorch

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Detect facial landmarks from Python using the world's most accurate face alignment network, capable of detecting points in both 2D and 3D coordinates. Build using FAN's state-of-the-art deep learning based face alignment method. For detecting faces the library makes use of dlib library.

SSH - SSH: Single Stage Headless Face Detector

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This repository includes the code for training and evaluating the SSH face detector introduced in our ICCV 2017 paper. The code is adapted based on an intial fork from the py-faster-rcnn repository.

Startrinity.com Silverlight realtime multiple face and feature points detector

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StarTrinity.com face detection project makes it easier for Silverlight, .NET, Windows Phone 7 developers to detect faces from any image. Facial tracking algorithm is based on Haar features and adaboost training. It is developed in C#

Face Detector

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Program to detect human faces on a digital picture. It uses a MLP neural net that receive relative distances from face distribution clusters of the image space. Written in C++. Requires newmat and libann libraries.

pico - Pixel Intensity Comparison-based Object detection

  •    C

The pico framework is a modifcation of the standard Viola-Jones method. The basic idea is to scan the image with a cascade of binary classifers at all reasonable positions and scales. An image region is classifed as an object of interest if it successfully passes all the members of the cascade. Each binary classifier consists of an ensemble of decision trees with pixel intensity comparisons as binary tests in their internal nodes. This enables the detector to process image regions at very high speed.

3270font - A 3270 font in a modern format

  •    Makefile

This font is derived from the x3270 font, which, in turn, was translated from the one in Georgia Tech's 3270tool, which was itself hand-copied from a 3270 series terminal. I built it because I felt terminals deserve to be pretty. The .sfd font file contains a x3270 bitmap font that was used for guidance. If you are running Debian or Ubuntu and you don't want to mess with building your font files, you can simply apt-get install fonts-3270 (It's available from the Debian (https://packages.debian.org/sid/fonts/fonts-3270) and Ubuntu (http://packages.ubuntu.com/zesty/fonts-3270) package repos at https://packages.debian.org/sid/fonts/fonts-3270 and http://packages.ubuntu.com/xenial/fonts/fonts-3270, although the packaged version may not be the latest version, but it's good enough for most purposes. For those who don't have the luxury of a proper system-managed package, Adobe Type 1, TTF, OTF and WOFF versions are available for download on http://s3.amazonaws.com/3270font/3270_fonts_b3b4b7d.zip (although this URL may not always reflect the latest version).

jeelizFaceFilter - Javascript/WebGL lightweight face tracking library designed for augmented reality webcam filters

  •    Javascript

This JavaScript library detects and tracks the face in real time from the webcam video feed captured with WebRTC. Then it is possible to overlay 3D content for augmented reality applications. We provide various demonstrations using main WebGL 3D engines. We have included in this repository the release versions of the 3D engines to work with a determined version (they are in /libs/<name of the engine>/). This library is lightweight and it does not include any 3D engine or third party library. We want to keep it framework agnostic so the outputs of the library are raw: if the a face is detected or not, the position and the scale of the detected face and the rotation Euler angles. But thanks to the featured helpers, examples and boilerplates, you can quickly deal with a higher level context (for motion head tracking, for face filter or face replacement...). We continuously add new demontrations, so stay tuned ! Also, feel free to open an issue if you have any question or suggestion.


  •    Javascript

Simple Node.js API for robust face detection and face recognition. This a Node.js wrapper library for the face detection and face recognition tools implemented in dlib. Installing the package will build dlib for you and download the models. Note, this might take some time.

Detector - Detector is a simple, PHP- and JavaScript-based browser- and feature-detection library that can adapt to new devices & browsers on its own without the need to pull from a central database of browser information

  •    PHP

Detector is a simple, PHP- and JavaScript-based browser- and feature-detection library that can adapt to new devices & browsers on its own without the need to pull from a central database of browser information. Detector dynamically creates profiles using a browser's (mainly) unique user-agent string as a key. Using Modernizr it records the HTML5 & CSS3 features a requesting browser may or may not support. ua-parser-php is used to collect and record any useful information (like OS or device name) the user-agent string may contain.

detector - :dog: 客户端环境识别模块。(UserAgent detector)

  •    Javascript

Note: Above [iphone], [ios], [chrome], [webkit] is dynamically from actual environment, different device, operation system, browser and rendering engine is different. Installation to global (with -g argument), you can use detector command in terminal.

jeelizWeboji - JavaScript/WebGL real-time face tracking and expression detection library

  •    Javascript

With this library, you can build your own animoji embedded in Javascript/WebGL applications. You do not need any specific device except a standard webcam. By default a webcam feedback image is displayed with the face detection frame. The face detection is quite robust to all lighting conditions, but the evaluation of expression can be noisy if the lighting is too directional, too weak or if there is an important backlight. So the webcam feedback image is useful to see the quality of the input video feed.

facenet - Face recognition using Tensorflow

  •    Python

This is a TensorFlow implementation of the face recognizer described in the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering". The project also uses ideas from the paper "Deep Face Recognition" from the Visual Geometry Group at Oxford. The code is tested using Tensorflow r1.7 under Ubuntu 14.04 with Python 2.7 and Python 3.5. The test cases can be found here and the results can be found here.

eos - A lightweight 3D Morphable Face Model fitting library in modern C++11/14

  •    C++

eos is a lightweight 3D Morphable Face Model fitting library that provides basic functionality to use face models, as well as camera and shape fitting functionality. It's written in modern C++11/14. An experimental model viewer to visualise 3D Morphable Models and blendshapes is available here.

sphereface - Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17

  •    Jupyter

SphereFace is released under the MIT License (refer to the LICENSE file for details). 2018.8.14: We recommand an interesting ECCV 2018 paper that comprehensively evaluates SphereFace (A-Softmax) on current widely used face datasets and their proposed noise-controlled IMDb-Face dataset. Interested users can try to train SphereFace on their IMDb-Face dataset. Take a look here.

2D-and-3D-face-alignment - This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper

  •    Lua

This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper. Please visit our webpage or read bellow for instructions on how to run the code and access the dataset. Note: If you are interested in a binarized version, capable of running on devices with limited resources please also check https://github.com/1adrianb/binary-face-alignment for a demo.