Displaying 1 to 12 from 12 results

CompreFace - Leading free and open-source face recognition system

  •    Java

Exadel CompreFace is a free and open-source face recognition service that can be easily integrated into any system without prior machine learning skills. CompreFace provides REST API for face recognition, face verification, face detection, landmark detection, age, and gender recognition and is easily deployed with docker. Exadel CompreFace is a free and open-source face recognition GitHub project. Essentially, it is a docker-based application that can be used as a standalone server or deployed in the cloud. You don’t need prior machine learning skills to set up and use CompreFace.

MMM-Facial-Recognition - This an extension for the MagicMirror

  •    Python

This an extension for the MagicMirror. It provides facial recognition and module swaping based on the current user. To train the needed model use the MMM-Facial-Recognition-Tools.




get-me-a-date - :heart_eyes: Help me get a :cupid: date tonight :first_quarter_moon_with_face:

  •    Javascript

Uses AWS Rekognition deep learning-based image recognition to help you automate your date discovery. Swagger documentation available at http://localhost:5940/docs.

FacesVisionDemo - 👀 iOS11 demo application for age and gender classification of facial images.

  •    Swift

iOS11 demo application for age and gender classification of facial images using Vision and CoreML. This demo is based on the age, gender and emotion neural network classifiers, which were converted from Caffe models to CoreML models using coremltools python package.

facejack - your face has been hijacked

  •    Python

Machine learning with deep neural networks (commonly dubbed "deep learning") has taken the world by storm, smashing record after record in a wide variety of difficult tasks from fields that were largely unexplored in previous years, such as computer vision, speech recognition and natural language processing. One computer vision task that benefits from such clear gains is facial recognition (identifying a person based on his/her face)---a deep neural network being the primary tool used for this purpose at Facebook, among other places. Therefore, using neural networks in secure applications requires particular care, as adversarial inputs give rise to a potentially unforeseen covert channel for an exploit.

in-your-face - Neural networks for facial recognition using Keras and the LFW Face Database.

  •    Jupyter

Neural networks for facial recognition using Keras and the Labeled Faces in the Wild (LFW) Database. See LFW README.txt for detailed information about the data set.


Emotion - :smile: Recognizes human faces and their corresponding emotions from a video or webcam feed

  •    Python

This software recognizes human faces and their corresponding emotions from a video or webcam feed. Powered by OpenCV and Deep Learning. The model used is from this research paper written by Octavio Arriaga, Paul G. Plöger, and Matias Valdenegro.

Corque - A state-of-the-art Face Recognition System for automatic attendance marking @ our college

  •    Python

Read this tutorial to understand the facial recognition script. We're using the Yale Image Dataset for face training but will eventually shift to our college's dataset.

HASS-Deepstack-object - Home Assistant custom component for using Deepstack object recognition

  •    Jupyter

Recommended OS Deepstack docker containers are optimised for Linux or Windows 10 Pro. Mac and regular windows users my experience performance issues. GPU users Note that if your machine has an Nvidia GPU you can get a 5 x 20 times performance boost by using the GPU.

panoptic - Frappe App for Project Panoptic

  •    HTML

Project Panoptic aims to bring transparency and accountability to the relevant government stakeholders involved in the deployment and implementation of facial recognition technology (FRT) projects in India. You can install this using bench, read the instructions here.