face - 👽 Face Recognition package for Laravel

  •        51

Once installed, you need to register the Face Service provider in your config/app.php. And add Face Facade into config/app.php.




Related Projects


  •    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.

libface - Face Recognition Library

  •    C++

Libface is a cross platform framework for developing face recognition algorithms and testing its performance. 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.

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.

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.

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.

face_recognition - The world's simplest facial recognition api for Python and the command line

  •    Python

Recognize and manipulate faces from Python or from the command line with the world's simplest face recognition library. Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.

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.

android-face-detector - A real-time face detection Android library

  •    Kotlin

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.

openface - Face recognition with deep neural networks.

  •    Lua

Free and open source face recognition with deep neural networks. This research was supported by the National Science Foundation (NSF) under grant number CNS-1518865. Additional support was provided by the Intel Corporation, Google, Vodafone, NVIDIA, and the Conklin Kistler family fund. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and should not be attributed to their employers or funding sources.


  •    C++

SeetaFace Engine is an open source C++ face recognition engine, which can run on CPU with no third-party dependence. It contains three key parts, i.e., SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification, which are necessary and sufficient for building a real-world face recognition applicaiton system. SeetaFace Detection implements a funnel-structured (FuSt) cascade schema for real-time multi-view face detection, which achieves a good trade-off between detection accuracy and speed. State of the art accuracy can be achieved on the public dataset FDDB in high speed. See SeetaFace Detection for more details.

OpenBR - Open Source Biometric Recognition

  •    C++

OpenBR is a framework for investigating new modalities, improving existing algorithms, interfacing with commercial systems, measuring recognition performance, and deploying automated biometric systems. Off-the-shelf algorithms are also available for specific modalities including Face Recognition, Age Estimation, and Gender Estimation.

Face-It - A repository of Processing examples for ITP fall workshop about face detection, recognition, and miscellaneous tracking methods

  •    Processing

A "syllabus" and repository of Processing examples for ITP fall workshop about face detection, recognition, and miscellaneous tracking methods.

Face Detection For Windows Phone 7


A library for performing face detection on windows phone 7. This library uses the same algorithms and detection models as OpenCV and is written in C# and built for the Windows Phone. Also includes a camera user control that supports automated taking of photos and showing camer...

node-facenet - Solve face verification, recognition and clustering problems: A TensorFlow backed FaceNet implementation for Node

  •    TypeScript

A TensorFlow backed FaceNet implementation for Node.js, which can solve face verification, recognition and clustering problems. FaceNet is a deep convolutional network designed by Google, trained to solve face verification, recognition and clustering problem with efficiently at scale.

faint - The Face Annotation Interface

  •    Java

Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI

brfv4_javascript_examples - BRFv4 - HTML5/Javascript - examples project

  •    Javascript

It is a real time face detection and tracking SDK. You put in image data (camera stream or single picture) and it outputs facial data. This page also includes all available packages for download.


  •    Matlab

The Deep Face Representation Experiment is based on Convolution Neural Network to learn a robust feature for face verification task. The popular deep learning framework caffe is used for training on face datasets such as CASIA-WebFace, VGG-Face and MS-Celeb-1M. And the feature extraction is realized by python code caffe_ftr.py. The single convolution net testing is evaluated on unsupervised setting only computing cosine similarity for lfw pairs.

LightCNN - A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018

  •    Python

A pytorch implementation of A Light CNN for Deep Face Representation with Noisy Labels from the paper by Xiang Wu, Ran He, Zhenan Sun and Tieniu Tan. The official and original Caffe code can be found here. Download face dataset such as CASIA-WebFace, VGG-Face and MS-Celeb-1M.

MTCNN_face_detection_alignment - Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

  •    Matlab

Here we strongly recommend Center Face, which is an effective and efficient open-source tool for face recognition.